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Sample records for quality networks evaluacion

  1. La calidad de las evaluaciones de manuscritos en Gaceta Sanitaria Quality of manuscript evaluation in Gaceta Sanitaria

    Directory of Open Access Journals (Sweden)

    A.M. García

    2002-06-01

    Full Text Available Objetivo: Describir las cualidades y limitaciones de las evaluaciones externas de los manuscritos remitidos a Gaceta Sanitaria para mejorar la selección de los evaluadores, aumentar la calidad de las evaluaciones y establecer un sistema interno que pudiera incorporarse al proceso editorial de gestión de los manuscritos. Métodos: Se incluyeron 100 evaluaciones de 55 manuscritos recibidos durante los años 2000 y 2001. Se aplicó un formulario de preguntas cerradas en el que se valoraban aspectos específicos y generales de calidad en las evaluaciones (respuestas sí/no o sobre una escala de 1 a 5. Se llevó a cabo un análisis descriptivo y de correlación entre los distintos ítems del formulario. Se calculó un Índice de Calidad como suma de las puntuaciones de los ítems específicos. Resultados: Las evaluaciones obtuvieron puntuaciones más elevadas en relación con la compleción del formulario para los revisores (84%, la utilización de un tono constructivo con los autores (evaluaciones por encima de 3: 63%, la identificación de cualidades y limitaciones metodológicas (evaluaciones por encima de 3: 59% y la fundamentación de los comentarios del evaluador (evaluaciones por encima de 3: 58%. Con menor frecuencia, se valora la relevancia (evaluaciones por encima de 3: 40% o la originalidad (evaluaciones por encima de 3: 35% del manuscrito. La utilidad global de la evaluación para el editor y la calidad global de la evaluación mostraron una elevada correlación con el resto de ítems específicos en el formulario y con el Índice de Calidad. Conclusiones: La calidad general de las evaluaciones externas de manuscritos en Gaceta Sanitaria se puede considerar alta. Se ponen de manifiesto los aspectos mejorables de las evaluaciones. Se podría establecer un proceso sistemático de valoración de las evaluaciones externas utilizando indicadores simples como la valoración global de la utilidad o de la calidad de la evaluación en su

  2. Assessment of the Atmospheric Suspended Particles Pollution in the Madrid Air Quality Networks; Evaluacion de la Contaminacion Atmosferica producida por Particulas en Suspension en las Redes de Calidad del Aire de la Comunidad de Madrid

    Energy Technology Data Exchange (ETDEWEB)

    Salvador, P.; Artinano, B.

    2000-07-01

    Suspended particles are a very complex type of atmospheric pollution because of their chemical composition and size. In fact, there are a quite high number of particles sources which are linked to different physico-chemical processes that determine their size. At present particles smaller than 10 {mu}m are considered the most dangerous, as has been recently pointed out by numerous epidemiologic studies. In this way, more restrictive concentration limit values have been approved in the EU countries, so an assessment of present airborne concentration values and the sources apportionment in their most representative areas is needed. In the Madrid Community a first approaching of these and other aims, has been carried out from an analysis of the Madrid Air Quality networks data. This will contribute to the stablishment of concentration levels abatement strategies. (Author) 111 refs.

  3. NETWORKS AND QUALITY IMPROVEMENT

    Directory of Open Access Journals (Sweden)

    Miodrag Hadžistević

    2009-12-01

    Full Text Available Tools used in the past to analyze business value creation, such as value chain and process models, are simply too slow, inadequate, or inappropriate to address this new level of business complexity. In stead of that, company has to find way to create quality management system in a multi-layered supply chain. The problem can be solved by networking in the cluster. Cluster can be known as a competitive cooperation in the purpose to gain higher level of competitiveness and success. Bat there is another problem: Organization of the production process in a company is extremely complex process itself, and when we transfer it to the cluster level, we get a complex task which is difficult to solve. For that purpose, this paper analyses the conditions and possibilities that would enable those structures to adapt to changes in the surroundings - flexibility and management adequacy of production and organizational structures - by creating network value system.

  4. [Quality analysis of clinical practice guidelines on cardiovascular risks in the Basque country and a proposal for their evaluacion].

    Science.gov (United States)

    Casi Casanellas, A; Aizpuru Barandiarán, F; Ibáñez Pérez, F

    2000-11-30

    To find the implantation and quality of clinical practice guidelines (CPG) to manage the major cardiovascular risks: tobacco dependency, hypertension, hyperlipaemia and diabetes mellitus. To work out a model to evaluate the quality of the CPG in primary care. Cross-sectional descriptive study. The primary care centres of the Basque Country. 170 CPG used at present to manage the four mentioned cardiovascular risks. Information was requested on the use of CPG and copies of their guidelines were requested from those in charge of 103 ranked centres. 77 centres replied (76%), of which 66 said they used one of them. A total of 170 CPG were received. On the basis of non-specific prior proposals for primary care, 21 quality criteria for the CPG, grouped in 6 blocks, were drawn up. Top quality was found in the block for clarity of clinical procedure with 63% compliance with the CPG, followed by general description (54%), and evaluation and measurement of impact (30%). The blocks with worst compliance were identification of people involved in their design (23%), evidence of their recommendations (19%) and conditions of application (4%). A model was proposed to evaluate the quality of the CPG. Major deficiencies in quality were found. These were most marked in key aspects such as bibliographic support for their recommendations, envisaging of conditions for application and identification of authors and reviewers.

  5. Quality and food network configuration

    DEFF Research Database (Denmark)

    Kjeldsen, Chris; Noe, Egon

    The aim of the paper is to analyze how the emergence of distinct quality conventions relates to particular network relations within two selected Danish organic dairy enterprises. The paper starts out from the assumption that the distinct qualities, which distinguish organic food, can be viewed...... is thus extremely important and even more so if the product chain in question is a ‘high-quality’ food chain of a relatively high level of complexity, such as an organic food network. Analytically, our main focus is on the relation between network structure and the qualities mediated from cow to cup....... The paper is based on case studies of two Danish dairy enterprises (Thise Dairy and Arla Foods), which all operate within the Danish 'high-quality' and organic food market....

  6. Voice Quality Estimation in Wireless Networks

    Directory of Open Access Journals (Sweden)

    Petr Zach

    2015-01-01

    Full Text Available This article deals with the impact of Wireless (Wi-Fi networks on the perceived quality of voice services. The Quality of Service (QoS metrics must be monitored in the computer network during the voice data transmission to ensure proper voice service quality the end-user has paid for, especially in the wireless networks. In addition to the QoS, research area called Quality of Experience (QoE provides metrics and methods for quality evaluation from the end-user’s perspective. This article focuses on a QoE estimation of Voice over IP (VoIP calls in the wireless networks using network simulator. Results contribute to voice quality estimation based on characteristics of the wireless network and location of a wireless client.

  7. On the Quality of Wireless Network Connectivity

    CERN Document Server

    Dasgupta, Soura

    2011-01-01

    Despite intensive research in the area of network connectivity, there is an important category of problems that remain unsolved: how to measure the quality of connectivity of a wireless multi-hop network which has a realistic number of nodes, not necessarily large enough to warrant the use of asymptotic analysis, and has unreliable connections, reflecting the inherent unreliable characteristics of wireless communications? The quality of connectivity measures how easily and reliably a packet sent by a node can reach another node. It complements the use of \\emph{capacity} to measure the quality of a network in saturated traffic scenarios and provides a native measure of the quality of (end-to-end) network connections. In this paper, we explore the use of probabilistic connectivity matrix as a possible tool to measure the quality of network connectivity. Some interesting properties of the probabilistic connectivity matrix and their connections to the quality of connectivity are demonstrated. We argue that the la...

  8. Evaluation of the weekly quality control of a digital mammography machine; Evaluacion del control de calidad semanal de un mamografo digital

    Energy Technology Data Exchange (ETDEWEB)

    Angulo Pain, E.; Ramos Caballero, L. J.; Urena Llinares, A.; Iborra Oquendo, M. A.; Quinones Rodriguez, L. A.; Castro Ramirez, I.; Gonzalez Aquino, P.; Aguirre Huelga, M. J.

    2013-07-01

    In the new edition of the PCCRD (2011) has been established as weekly quality control testing for digital mammography equipment the analysis of artifacts from the team and defective items in the DR, the constancy of the functioning of the CAE, the accuracy of the thickness determined by the compression system, constancy in the uniformity and quality of the image. The objective of the study is to evaluate data collected during the first year of operation of the equipment. (Author)

  9. Representativeness of air quality monitoring networks

    NARCIS (Netherlands)

    Duyzer, J.; Hout, D. van den; Zandveld, P.; Ratingen, S. van

    2015-01-01

    The suitability of European networks to check compliance with air quality standards and to assess exposure of the population was investigated. An air quality model (URBIS) was applied to estimate and compare the spatial distribution of the concentration of nitrogen dioxide (NO2) in ambient air in

  10. Speech Quality Requirements over DSL Networks

    Directory of Open Access Journals (Sweden)

    Ibrahiem M. M. El Emary

    2010-03-01

    Full Text Available Quality of service (QoS has been a feature of voice communication networks almost since their inception. The extension of traditional voice QoS methods to data communication networks and the Internet has been a longstanding research topic, although for many years it was notconsidered a critical issue due to the inherent differences betweendata and voice traffic and the relatively low cost of over provisioning bandwidth. In particular, over-provisioning of network bandwidth has been common practice since the earliest fiber-optic local-area networks (LANs were deployed, and bandwidth on an optical network was found to be very economical. As VoIP moves from being an interesting and cheap application for enthusiasts to a public service for everybody, the speech quality requirements will be of increasing importance. There are a number of factors that contribute to the userperceived speech quality. Voice over a packet network may introduce new degradations such as packet loss, and increase other degradations such as delay. In this paper, we address Voice-over-IP (VoIP as a trend of transferring voice over DSL access network and explaining the reasons of packet loss in speech signals and the solutions for preventing and recovering from packet loss. We concluded that retransmission of voice packets is not feasible for real-time applications like voice since they have very tight delay-bounds.

  11. Quality control in bio-monitoring networks, Spanish Aerobiology Network.

    Science.gov (United States)

    Oteros, Jose; Galán, Carmen; Alcázar, Purificación; Domínguez-Vilches, Eugenio

    2013-01-15

    Several of the airborne biological particles, such as pollen grains and fungal spores, are known to generate human health problems including allergies and infections. A number of aerobiologists have focused their research on these airborne particles. The Spanish Aerobiology Network (REA) was set up in 1992, and since then dozens of research groups have worked on a range of related topics, including the standardization of study methods and the quality control of data generated by this network. In 2010, the REA started work on an inter-laboratory survey for proficiency testing purposes. The main goal of the study reported in the present paper was to determine the performance of technicians in the REA network using an analytical method that could be implemented by other bio-monitoring networks worldwide. The results recorded by each technician were compared with the scores obtained for a bounded mean of all results. The performance of each technician was expressed in terms of the relative error made in counting each of several pollen types. The method developed and implemented here proved appropriate for proficiency testing in interlaboratory studies involving bio-monitoring networks, and enabled the source of data quality problems to be pinpointed. The test revealed a variation coefficient of 10%. The relative error was significant for 3.5% of observations. In overall terms, the REA staff performed well, in accordance with the REA Management and Quality Manual. These findings serve to guarantee the quality of the data obtained, which can reliably be used for research purposes and published in the media in order to help prevent pollen-related health problems.

  12. Network compression as a quality measure for protein interaction networks.

    Directory of Open Access Journals (Sweden)

    Loic Royer

    Full Text Available With the advent of large-scale protein interaction studies, there is much debate about data quality. Can different noise levels in the measurements be assessed by analyzing network structure? Because proteomic regulation is inherently co-operative, modular and redundant, it is inherently compressible when represented as a network. Here we propose that network compression can be used to compare false positive and false negative noise levels in protein interaction networks. We validate this hypothesis by first confirming the detrimental effect of false positives and false negatives. Second, we show that gold standard networks are more compressible. Third, we show that compressibility correlates with co-expression, co-localization, and shared function. Fourth, we also observe correlation with better protein tagging methods, physiological expression in contrast to over-expression of tagged proteins, and smart pooling approaches for yeast two-hybrid screens. Overall, this new measure is a proxy for both sensitivity and specificity and gives complementary information to standard measures such as average degree and clustering coefficients.

  13. Quality in Supply in Project Configured Networks

    DEFF Research Database (Denmark)

    Koch, Christian; Larsen, Casper Schultz

    2006-01-01

    The paper argues that in the AEC-industry the material and knowledge supply chains are increasingly intertwined and moreover characterised by configuration by project. In such a setting creating value for the customers and the enterprises becomes dependent of the ability to organise and coordinate...... network. 160 failures were found in 38 working days. The paper discusses quality improvement strategies on strategic and processual level, proposing initiatives, especially at engineer to order production, to strengthen partnerships in supply chains with focus on quality specifications, integrated...

  14. Quality of service in optical packet switched networks

    CERN Document Server

    Rahbar, Akbar G

    2015-01-01

    This book is a comprehensive study on OPS networks, its architectures, and developed techniques for improving its quality of switching and managing quality of service.  The book includes: Introduction to OPS networks, OOFDM networks, GMPLS-enabled optical networks, QoS in OPS networks Hybrid contention avoidance/resolution schemes in both long-haul and metro optical networks Hybrid optical switching schemes

  15. La calidad de las evaluaciones de manuscritos en Gaceta Sanitaria

    Directory of Open Access Journals (Sweden)

    García A.M.

    2002-01-01

    Full Text Available Objetivo: Describir las cualidades y limitaciones de las evaluaciones externas de los manuscritos remitidos a Gaceta Sanitaria para mejorar la selección de los evaluadores, aumentar la calidad de las evaluaciones y establecer un sistema interno que pudiera incorporarse al proceso editorial de gestión de los manuscritos. Métodos: Se incluyeron 100 evaluaciones de 55 manuscritos recibidos durante los años 2000 y 2001. Se aplicó un formulario de preguntas cerradas en el que se valoraban aspectos específicos y generales de calidad en las evaluaciones (respuestas sí/no o sobre una escala de 1 a 5. Se llevó a cabo un análisis descriptivo y de correlación entre los distintos ítems del formulario. Se calculó un Índice de Calidad como suma de las puntuaciones de los ítems específicos. Resultados: Las evaluaciones obtuvieron puntuaciones más elevadas en relación con la compleción del formulario para los revisores (84%, la utilización de un tono constructivo con los autores (evaluaciones por encima de 3: 63%, la identificación de cualidades y limitaciones metodológicas (evaluaciones por encima de 3: 59% y la fundamentación de los comentarios del evaluador (evaluaciones por encima de 3: 58%. Con menor frecuencia, se valora la relevancia (evaluaciones por encima de 3: 40% o la originalidad (evaluaciones por encima de 3: 35% del manuscrito. La utilidad global de la evaluación para el editor y la calidad global de la evaluación mostraron una elevada correlación con el resto de ítems específicos en el formulario y con el Índice de Calidad. Conclusiones: La calidad general de las evaluaciones externas de manuscritos en Gaceta Sanitaria se puede considerar alta. Se ponen de manifiesto los aspectos mejorables de las evaluaciones. Se podría establecer un proceso sistemático de valoración de las evaluaciones externas utilizando indicadores simples como la valoración global de la utilidad o de la calidad de la evaluación en su

  16. A rapid appraisal process on an irrigation system in Pakistan; Evaluacion rapida de una zona de riego tipica de Pakistan

    Energy Technology Data Exchange (ETDEWEB)

    Ruiz-Carmona, Victor Manuel; Ojeda-Bustamante, Waldo [Instituto Mexicano de Tecnologia del Agua, Jiutepec, Morelos (Mexico); Contijoch, Manuel [Banco Mundial (Mexico)

    2006-07-15

    This paper presents the results obtained on the implementation of a rapid appraisal process on an irrigation system in the province of Punjab in Pakistan. The purpose of the evaluation was to know the present irrigation service quality and to propose some alternative to improve it. The evaluation results were: the canal inflow is smaller than peak crop water requirement; net aquifer loss; crops are always under stress which is reflected on low crop yields, the secondary canal network has not control structures and was not designed for rotation, insufficient human-human communication between canal operators; the operators have no complementary training course to enhance their capacity; discrepancy between the service the canal is supposed to provide and the real service it offers. The suggested actions to improve the irrigation service were: the irrigation service must be client oriented; the irrigation users should participate to determine the irrigation service characteristics; the difference between actual and stage irrigation service must be eliminated; clear definition on water allocation; implement a modernization program to provide the irrigation service required. The evaluation methodology used can be applied in other countries like Mexico for the analysis of large irrigation systems making an optimal use of time and resources. [Spanish] En el presente trabajo se muestran los resultados obtenidos al aplicar una metodologia de evaluacion rapida de sistemas de riego a una zona de la provincia del Punjab, Pakistan. El objetivo de la evaluacion fue conocer el estado actual del servicio de riego que ofrece la agencia responsable del manejo del riego en un distrito del Punjab y proponer alternativas para mejorarlo. Los principales resultados de esta evaluacion fueron los siguientes: la falta de capacidad de los canales, el abatimiento neto del acuifero; el estres hidrico continuo de los cultivos, que propicia un bajo rendimiento; la red secundaria de canales no

  17. A black carbon air quality network

    Science.gov (United States)

    Kirchstetter, T.; Caubel, J.; Cados, T.; Preble, C.; Rosen, A.

    2016-12-01

    We developed a portable, power efficient black carbon sensor for deployment in an air quality network in West Oakland, California. West Oakland is a San Francisco Bay Area residential/industrial community adjacent to regional port and rail yard facilities, and is surrounded by major freeways. As such, the community is affected by diesel particulate matter emissions from heavy-duty diesel trucks, locomotives, and ships associated with freight movement. In partnership with Environmental Defense Fund, the Bay Area Air Quality Management District, and the West Oakland Environmental Indicators Project, we are collaborating with community members to build and operate a 100-sensor black carbon measurement network for a period of several months. The sensor employs the filter-based light transmission method to measure black carbon. Each sensor node in the network transmits data hourly via SMS text messages. Cost, power consumption, and performance are considered in choosing components (e.g., pump) and operating conditions (e.g., sample flow rate). In field evaluation trials over several weeks at three monitoring locations, the sensor nodes provided black carbon concentrations comparable to commercial instruments and ran autonomously for a week before sample filters and rechargeable batteries needed to be replaced. Buildup to the 100-sensor network is taking place during Fall 2016 and will overlap with other ongoing air monitoring projects and monitoring platforms in West Oakland. Sensors will be placed along commercial corridors, adjacent to freeways, upwind of and within the Port, and throughout the residential community. Spatial and temporal black carbon concentration patterns will help characterize pollution sources and demonstrate the value of sensing networks for characterizing intra-urban air pollution concentrations and exposure to air pollution.

  18. Network-based production quality control

    Science.gov (United States)

    Kwon, Yongjin; Tseng, Bill; Chiou, Richard

    2007-09-01

    This study investigates the feasibility of remote quality control using a host of advanced automation equipment with Internet accessibility. Recent emphasis on product quality and reduction of waste stems from the dynamic, globalized and customer-driven market, which brings opportunities and threats to companies, depending on the response speed and production strategies. The current trends in industry also include a wide spread of distributed manufacturing systems, where design, production, and management facilities are geographically dispersed. This situation mandates not only the accessibility to remotely located production equipment for monitoring and control, but efficient means of responding to changing environment to counter process variations and diverse customer demands. To compete under such an environment, companies are striving to achieve 100%, sensor-based, automated inspection for zero-defect manufacturing. In this study, the Internet-based quality control scheme is referred to as "E-Quality for Manufacturing" or "EQM" for short. By its definition, EQM refers to a holistic approach to design and to embed efficient quality control functions in the context of network integrated manufacturing systems. Such system let designers located far away from the production facility to monitor, control and adjust the quality inspection processes as production design evolves.

  19. Quality of Service in Wireless Sensor Networks (QOS in WSN)

    Science.gov (United States)

    Zolhavarieh, Seyedjamal; Barati, Molood

    2013-03-01

    In this paper, we discuss about concept of Quality of Service (QoS) in Wireless Sensor Networks (WSN) and different methods to improve data security network. The most useful methods for network traffic control are Differentiated Services (DS), Integrated Services, Multi-Protocol Labeled Switching (MPLS), Resource Reservation Protocol (RSVP) and Traffic Engineering. Quality of Service is responsible for data transfer between different parts of the network and it guarantees some series of transport properties on the network [14].

  20. La evaluacion y el analisis de politicas publicas

    National Research Council Canada - National Science Library

    Salazar Vargas, Carlos

    2009-01-01

    Dentro del "EPPPAL: Enfoque Propio de Politicas Publicas desde y para America Latina", la distincion entre "evaluacion" y "analisis" es un tema crucial, ya que equilibra, complementa y cuestiona la generosa propuesta...

  1. Assessment of water quality in distribution networks through the lens ...

    African Journals Online (AJOL)

    Assessment of water quality in distribution networks through the lens of ... A previously modified CCME WQI (Islam et al., 2014) is adapted along with the weights to perform the assessment at the distribution network (DN). ... Article Metrics.

  2. Evaluacion de los aprendizajes en lenguas extranjeras: hacia practicas justas y democraticas

    National Research Council Canada - National Science Library

    Arias, Clara Ines; Maturana, Liliana; Restrepo, Maria Isabel

    2012-01-01

    La falta de coherencia encontrada entre la evaluacion y la promocion en lenguas extranjeras se abordo en esta investigacion-accion interinstitucional con la consolidacion de un Sistema consensuado de Evaluacion...

  3. Efectos de la inflacion y la devaluacion en la evaluacion de flujos de inversion

    National Research Council Canada - National Science Library

    Sole Madrigal, Roberto

    2012-01-01

    ... las tasas sean "de un digito", es importante poder tomar en cuenta sus efectos a lo largo del tiempo en un proyecto para su evaluacion e impacto en sus metricas de evaluacion tradicionalmente utilizadas: Valor Actual Neto (VAN...

  4. Air Quality System (AQS) Monitoring Network, EPA OAR OAQPS

    Data.gov (United States)

    U.S. Environmental Protection Agency — This GIS dataset contains points which depict air quality monitors within EPA's Air Quality System (AQS) monitoring network. This dataset is updated weekly to...

  5. La no neutralidad en la evaluacion de la calidad y modelos de evaluacion de la educación superior, casos de: Colombia, Argentina y Brasil Neutrality in quality evaluation and in models of higher education evaluation: the cases of Colombia, Argentina and Brazil

    Directory of Open Access Journals (Sweden)

    Nina Eleonor Vizcarra Herles

    2011-07-01

    Full Text Available En este artículo en base al análisis documental y de la literatura del área se aborda el tema de la no neutralidad de la evaluación de la calidad, se exploran dimensiones en el concepto de calidad proponiendo un modelo comprensivo, se identifican factores que contribuyen a la no neutralidad del concepto en referencia a las instituciones universitarias. Se enfatiza en que los elementos de referencia considerados valiosos para el evaluador (modelo de referencia comunican características diferenciales a los modelos de evaluación institucional y de programas para educación superior haciendo mención a los casos de Colombia, Argentina y Brasil y se analizan las diversas implicancias en su funcionamiento. Se infiere que contribuyen a la no neutralidad de la evaluación de la calidad: el énfasis conceptual en alguna o algunas dimensiones de la calidad, el propósito que es de interés del evaluador, el cual determina el referente de calidad a utilizar, y las demandas de calidad endógenas y exógenas a la institución, programa o sistema que es objeto de evaluación.This article founded on documental analysis as well as on analysis of the literature in the field, addresses the issue of non-neutrality of quality assessment; it discusses dimensions of the quality concept, identifies factors that contribute to the non-neutrality of quality in reference to universities. It emphasizes that the benchmarks that are considered valuable to the evaluator (reference model, give different characteristics to the institutional and program evaluation models for higher education, making reference to the cases of Colombia, Argentina and Brazil and discusses the different implications of its operation. It is inferred that what contributes to the non-neutrality of quality assessment are: the conceptual emphasis on one or on several quality dimensions, the purpose of the evaluator, which determines the quality benchmarks he uses, and the demands for quality which

  6. Nursing Home Care Quality: Insights from a Bayesian Network Approach

    Science.gov (United States)

    Goodson, Justin; Jang, Wooseung; Rantz, Marilyn

    2008-01-01

    Purpose: The purpose of this research is twofold. The first purpose is to utilize a new methodology (Bayesian networks) for aggregating various quality indicators to measure the overall quality of care in nursing homes. The second is to provide new insight into the relationships that exist among various measures of quality and how such measures…

  7. Nursing Home Care Quality: Insights from a Bayesian Network Approach

    Science.gov (United States)

    Goodson, Justin; Jang, Wooseung; Rantz, Marilyn

    2008-01-01

    Purpose: The purpose of this research is twofold. The first purpose is to utilize a new methodology (Bayesian networks) for aggregating various quality indicators to measure the overall quality of care in nursing homes. The second is to provide new insight into the relationships that exist among various measures of quality and how such measures…

  8. Measuring Service Quality in the Networked Environment: Approaches and Considerations.

    Science.gov (United States)

    Bertot, John Carlo

    2001-01-01

    This article offers a number of statistics and performance measures that libraries may find useful in determining the overall quality of their network-based services; identifies a number of service quality criteria; and provides a framework to assist librarians in selecting statistics and performance measures based on service quality criteria.…

  9. On Quality Issues in Networked Value Constellations

    NARCIS (Netherlands)

    Zarvic, N.; Wieringa, Roelf J.; van Eck, Pascal

    2008-01-01

    One of the main purposes of collaborative networks is to satisfy specific consumer needs, which one company cannot satisfy alone. With the opening of the internet in the 1990s the number of companies that collaborate by means of computer networks increased rapidly. As far as one of our main foci is

  10. On quality issues in networked value constellations

    NARCIS (Netherlands)

    Zarvic, N.; Wieringa, Roelf J.; van Eck, Pascal; Camarinha-Matos, L.M.; Picard, W.

    2008-01-01

    One of the main purposes of collaborative networks is to satisfy specific consumer needs, which one company cannot satisfy alone. With the opening of the internet in the 1990s the number of companies that collaborate by means of computer networks increased rapidly. As far as one of our main foci is

  11. Radio link quality estimation in low-power wireless networks

    CERN Document Server

    2013-01-01

    This book provides a comprehensive survey on related work for radio link quality estimation, which covers the characteristics of low-power links, the fundamental concepts of link quality estimation in wireless sensor networks, a taxonomy of existing link quality estimators and their performance analysis. It then shows how link quality estimation can be used for designing protocols and mechanisms such as routing and hand-off. The final part is dedicated to radio interference estimation, generation and mitigation.

  12. Spatial analysis of the Chania prefecture: Crete triangulation network quality

    Science.gov (United States)

    Achilleos, Georgios

    2016-08-01

    The network of trigonometric points of a region is the basis upon which any form of cartographic work is attached to the national geodetic coordinate system (data collection, processing, output presentations) and not only. The products of the cartographic work (cartographic representations), provide the background which is used in cases of spatial planning and development strategy. This trigonometric network, except that, provides to a single cartographic work, the ability to exist within a unified official state geodetic reference system, simultaneously determines the quality of the result, since the trigonometric network data that are used, have their own quality. In this paper, we present the research of spatial quality of the trigonometric network of Chania Prefecture in Crete. This analysis examines the triangulation network points, both with respect to their spatial position (distribution in space), and in their accuracy (horizontally and vertically).

  13. Stations in the USGS's National Stream Quality Accounting Network (NASQAN)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This is a point coverage of stations in the U.S. Geological Survey's National Stream Quality Accounting Network (NASQAN). NASQAN was established in 1973....

  14. Offset Trace-Based Video Quality Evaluation Network Transport

    DEFF Research Database (Denmark)

    Seeling, P.; Reisslein, M.; Fitzek, Frank

    2006-01-01

    after networking transport that includes losses and delays. In this work, we provide (i) an overview of frame dependencies that have to be taken into consideration when working with video traces, (ii) an algorithmic approach to combine traditional video traces and offset distortion traces to determine...... the video quality or distortion after lossy network transport, (iii) offset distortion and quality characteristics and (iv) the offset distortion trace format and tools to create offset distortion traces....

  15. Collaborative Network Management for Enhancing Quality Education of Primary Schools

    Science.gov (United States)

    Chaikoed, Wisithsak; Sirisuthi, Chaiyuth; Numnaphol, Kochaporn

    2017-01-01

    This research aims to study the network and collaborative factors that enhance quality education of primary schools. Different methods were used in this research work: (1) Related approaches, theories, and research literatures and (2) Scholars were interviewed on 871 issues in the form of questionnaire, and the collaborative network factors were…

  16. Enhancing Sensor Network Data Quality via Collaborated Circuit and Network Operations

    Directory of Open Access Journals (Sweden)

    Lucas Vespa

    2013-04-01

    Full Text Available In many applications, the quality of data gathered by sensor networks is directly related to the signal-to-noise ratio (SNR of the sensor data being transmitted in the networks. Different from the SNR that is often used in measuring the quality of communication links, the SNR used in this work measures how accurately the data in the network packets represent the physical parameters being sensed. Hence, the signal here refers to the physical parameters that are being monitored by sensor networks; the noise is due to environmental interference and circuit noises at sensor nodes, and packet loss during network transmission. While issues affecting SNR at sensor nodes have been intensively investigated, the impact of network packet loss on data SNR has not attracted significant attention in sensor network design. This paper investigates the impact of packet loss on sensor network data SNR and shows that data SNR is dramatically affected by network packet loss. A data quality metric, based on data SNR, is developed and a cross-layer adaptive scheme is presented to minimize data quality degradation in congested sensor networks. The proposed scheme consists of adaptive downsampling and bit truncation at sensor nodes and intelligent traffic management techniques at the network level. Simulation results are presented to demonstrate the validity and effectiveness of the proposed techniques.

  17. Evaluacion del impacto de las incubadoras de empresas: estudios realizados

    National Research Council Canada - National Science Library

    Gomez, Nunez, Liyis

    2002-01-01

    ... de su impacto en la comunidad y de como evaluarlo. Este trabajo tiene como proposito analizar los estudios mas significativos al respecto y formular directrices que permitan el diseno de programas de evaluacion. Palabras clave: Incubacion de empresas, incubadora de empresas, crecimiento economico, estrategia de desarrollo, desarrollo local, entrepre...

  18. Health Provider Networks, Quality and Costs

    NARCIS (Netherlands)

    Boone, J.; Schottmuller, C.

    2015-01-01

    We provide a modeling framework to think about selective contracting in the health care sector. Two health care providers differ in quality and costs. When buying health insurance, consumers observe neither provider quality nor costs. We derive an equilibrium where health insurers signal provider

  19. Quality of service in wireless networks over unlicensed spectrum

    CERN Document Server

    Nahrstedt, Klara

    2011-01-01

    This Synthesis Lecture presents a discussion of Quality of Service (QoS) in wireless networks over unlicensed spectrum. The topic is presented from the point of view of protocols for wireless networks (e.g., 802.11) rather than the physical layer point of view usually discussed for cellular networks in the licensed wireless spectrum. A large number of mobile multimedia wireless applications are being deployed over WiFi (IEEE 802.11) and Bluetooth wireless networks and the number will increase in the future as more phones, tablets, and laptops are equipped with these unlicensed spectrum wireles

  20. Evaluation of quality assurance calibration results based on repeated calibrations; Evaluacion del aseguramiento de la calidad de los resultados de calibracion en base a la repeticion de las calibraciones

    Energy Technology Data Exchange (ETDEWEB)

    Mestre de Juan, V.; Albau Albos, J.; Gomez Llobat, L.

    2011-07-01

    To ensure quality assurance of the calibration results, as indicated by the UNE-EN ISO / IEC 17025:2005 in paragraph 5.9, the laboratory has established procedures for quality control of its activity. Thus, the laboratory participates in both inter-laboratory intercomparison exercises, cycle through the entire range of radiation qualities reflected in the scope of its accreditation, such as intra-laboratory intercomparison exercises. In this case, repeat quarterly by two different operators both the calibration of an ionization chamber irradiation of a direct reading personal dosimeter.

  1. E-Services quality assessment framework for collaborative networks

    Science.gov (United States)

    Stegaru, Georgiana; Danila, Cristian; Sacala, Ioan Stefan; Moisescu, Mihnea; Mihai Stanescu, Aurelian

    2015-08-01

    In a globalised networked economy, collaborative networks (CNs) are formed to take advantage of new business opportunities. Collaboration involves shared resources and capabilities, such as e-Services that can be dynamically composed to automate CN participants' business processes. Quality is essential for the success of business process automation. Current approaches mostly focus on quality of service (QoS)-based service selection and ranking algorithms, overlooking the process of service composition which requires interoperable, adaptable and secure e-Services to ensure seamless collaboration, data confidentiality and integrity. Lack of assessment of these quality attributes can result in e-Service composition failure. The quality of e-Service composition relies on the quality of each e-Service and on the quality of the composition process. Therefore, there is the need for a framework that addresses quality from both views: product and process. We propose a quality of e-Service composition (QoESC) framework for quality assessment of e-Service composition for CNs which comprises of a quality model for e-Service evaluation and guidelines for quality of e-Service composition process. We implemented a prototype considering a simplified telemedicine use case which involves a CN in e-Healthcare domain. To validate the proposed quality-driven framework, we analysed service composition reliability with and without using the proposed framework.

  2. Towards semen quality assessment using neural networks

    DEFF Research Database (Denmark)

    Linneberg, Christian; Salamon, P.; Svarer, C.

    1994-01-01

    The paper presents the methodology and results from a neural net based classification of human sperm head morphology. The methodology uses a preprocessing scheme in which invariant Fourier descriptors are lumped into “energy” bands. The resulting networks are pruned using optimal brain damage...

  3. A convolutional neural network approach for objective video quality assessment.

    Science.gov (United States)

    Le Callet, Patrick; Viard-Gaudin, Christian; Barba, Dominique

    2006-09-01

    This paper describes an application of neural networks in the field of objective measurement method designed to automatically assess the perceived quality of digital videos. This challenging issue aims to emulate human judgment and to replace very complex and time consuming subjective quality assessment. Several metrics have been proposed in literature to tackle this issue. They are based on a general framework that combines different stages, each of them addressing complex problems. The ambition of this paper is not to present a global perfect quality metric but rather to focus on an original way to use neural networks in such a framework in the context of reduced reference (RR) quality metric. Especially, we point out the interest of such a tool for combining features and pooling them in order to compute quality scores. The proposed approach solves some problems inherent to objective metrics that should predict subjective quality score obtained using the single stimulus continuous quality evaluation (SSCQE) method. This latter has been adopted by video quality expert group (VQEG) in its recently finalized reduced referenced and no reference (RRNR-TV) test plan. The originality of such approach compared to previous attempts to use neural networks for quality assessment, relies on the use of a convolutional neural network (CNN) that allows a continuous time scoring of the video. Objective features are extracted on a frame-by-frame basis on both the reference and the distorted sequences; they are derived from a perceptual-based representation and integrated along the temporal axis using a time-delay neural network (TDNN). Experiments conducted on different MPEG-2 videos, with bit rates ranging 2-6 Mb/s, show the effectiveness of the proposed approach to get a plausible model of temporal pooling from the human vision system (HVS) point of view. More specifically, a linear correlation criteria, between objective and subjective scoring, up to 0.92 has been obtained on

  4. Quality of service on high-speed data networks

    Science.gov (United States)

    Barbero, Ezio; Antonelli, Ferruccio

    1995-02-01

    Since the beginning of this century the issue of `quality' has been gaining increasing importance in a number of fields of human activities. For telecommunication services, too, the quality perceived by customers has been taken into account early on as an issue of strategic importance. Whilst for telephony the Quality of Service (QoS) has been already investigated and identified in terms of parameters and related test methodology, the situation for high speed data services (i.e. CBDS/SMDS, Frame Relay, etc.), provided by means of high speed network based on Asynchronous Transfer Moe (ATM) or Metropolitan Area Network technologies, can still be considered `under study'. There is a death of experience not only in terms of measurement instruments and procedures, but also in terms of knowledge of the relationship between the QoS provided at a network level and the quality perceived by the user on his or her terminal. The complexity of the equipment involved in setting up an end-to-end solution based on high speed data communications makes the problems of knowledge and supply of quality very hard to solve. Starting from the experience gained in carrying out high- speed network field trials based on Metropolitan Area Networks and, more recently, on ATM technology, the paper mainly deals with the problem of defining, measuring and then offering a specific QoS. First, the issue of what the user expects from the `high-speed network' is addressed. This analysis is carried out trying to gather what is peculiar to high-speed data communications from the user standpoint. Next, the focus is on how to cope with the requirements due to users' expectations, while carefully considering the basic principles of quality. Finally, a solution is proposed, starting from the experience gained from high speed networks installed in Italy.

  5. Caracteristicas psicometricas de la escala BRIEF para la evaluacion de funciones ejecutivas en poblacion clinica espanola

    National Research Council Canada - National Science Library

    2014-01-01

    Antecedentes: la escala Behavior Rating Inventory of Executive Functions (BRIEF), cumplimentada por familias, es ampliamente conocida en la evaluacion de las funciones ejecutivas en ninos y adolescentes...

  6. Implementation of the program of quality control of the system on-board imager of varian: initial assessment; Puesta en marcha del programa de control de calidad del sistema on-board imager de varian: evaluacion inicial

    Energy Technology Data Exchange (ETDEWEB)

    Ortega Martin, I.; Ruiz Morales, C.; Lopez Sanchez, F.; Tobarra Gonzalez, B. M.

    2013-07-01

    This work aims to present evidence that are part of our quality control system on-board Imager of Varian, elaborated from recommendations and national and international protocols, as well as a first assessment of the results obtained to date. (Author)

  7. Evaluation of power quality in distribution system interaction and electric urban rail systems; Evaluacion de calidad de la potencia en la interaccion del sistema de distribucion y los sistemas electricos ferroviarios urbanos

    Energy Technology Data Exchange (ETDEWEB)

    Rios, Mario A.; Ramos, Gustavo A.; Moreno, Ricardo [Universidad de Los Andes, Bogota (Colombia). Dept. de Ingenieria Electrica y Electronica], Emails: mrios@uniandes.edu.co, gramos@uniandes.edu.co, ri-moren@uniandes.edu.co

    2009-07-01

    This article presents the evaluation of the phenomena of power quality in electrical systems for mass transport to make a profound study of the effects of harmonic distortion and transients. The evaluation was performed in a typical electrical distribution system. The computer programs used in this study are: ATP, HarmFlow and MATLAB.

  8. Evaluation of the quality of picture in studies of sect brain acquired with various collimators; Evaluacion de la calidad de imagen en estudios de spect cerebral adquiridos con distintos colimadores

    Energy Technology Data Exchange (ETDEWEB)

    Moran Velasco, V.; Prieto Azcarete, E.; Barbes Fernandez, B.; Sancho rodriguez, L.; Ribelles Segura, M. J.; Richter echevarria, J. A.; Arbizu Lostao, J.; Marti-Climent, J. M.

    2015-07-01

    On the practice clinic , the performance of the systems SPECT depends on in large measurement of the quality of image. The goal of East study was evaluate how affect the parameters of reconstruction of studies SPECT of perfusion brain acquired with a collimator of holes parallel (LEHR) and other of holes in fan (Fan-Beam). (Author)

  9. Energy Efficient Networks for Monitoring Water Quality in Subterranean Rivers

    Directory of Open Access Journals (Sweden)

    Fei Ge

    2016-05-01

    Full Text Available The fresh water in rivers beneath the Earth’s surface is as significant to humans as that on the surface. However, the water quality is difficult to monitor due to its unapproachable nature. In this work, we consider building networks to monitor water quality in subterranean rivers. The network node is designed to have limited functions of floating and staying in these rivers when necessary. We provide the necessary conditions to set up such networks and a topology building method, as well as the communication process between nodes. Furthermore, we provide every an node’s energy consumption model in the network building stage, the data acquiring and transmission stage. The numerical results show that the energy consumption in every node is different, and the node number should be moderate to ensure energy efficiency.

  10. Speech Quality Monitoring in Czech National Research Network

    Directory of Open Access Journals (Sweden)

    Jan Rozhon

    2010-01-01

    Full Text Available This paper deals with techniques of measuring and assessment of the voice transmitted in IP networks and describes design of quality measurement, which can be used for Cisco Gateways. Cisco gateways send Calculated Planning Impairment Factor in every CDR (Call Detail Record. Our design is based on collection of CDR's, their storing into SQL database and their visualization through web page. This design was implemented and successfully tested in CESNET network.

  11. A proposed ground-water quality monitoring network for Idaho

    Science.gov (United States)

    Whitehead, R.L.; Parliman, D.J.

    1979-01-01

    A ground water quality monitoring network is proposed for Idaho. The network comprises 565 sites, 8 of which will require construction of new wells. Frequencies of sampling at the different sites are assigned at quarterly, semiannual, annual, and 5 years. Selected characteristics of the water will be monitored by both laboratory- and field-analysis methods. The network is designed to: (1) Enable water managers to keep abreast of the general quality of the State 's ground water, and (2) serve as a warning system for undesirable changes in ground-water quality. Data were compiled for hydrogeologic conditions, ground-water quality, cultural elements, and pollution sources. A ' hydrologic unit priority index ' is used to rank 84 hydrologic units (river basins or segments of river basins) of the State for monitoring according to pollution potential. Emphasis for selection of monitoring sites is placed on the 15 highest ranked units. The potential for pollution is greatest in areas of privately owned agricultural land. Other areas of pollution potential are residential development, mining and related processes, and hazardous waste disposal. Data are given for laboratory and field analyses, number of site visits, manpower, subsistence, and mileage, from which costs for implementing the network can be estimated. Suggestions are made for data storage and retrieval and for reporting changes in water quality. (Kosco-USGS)

  12. Evaluation of fruit productivity and quality in Hass avocado submitted to {sup 60}Co gamma radiation; Evaluacion de productividad y calidad de fruta en aguacate Hass sometido a radiacion gamma de {sup 60}Co

    Energy Technology Data Exchange (ETDEWEB)

    Cruz T, E. De la; Ibanez P, J.; Mijares O, P.; Garcia A, J.M. [Instituto nacional de Investigaciones Nucleares, Departamento de Biologia, A.P. 18-1027, 11801 Mexico D.F. (Mexico)

    1999-07-01

    Evaluation of productivity, postharvest behavior and fruit quality was performed on four years Hass avocado trees irradiated with {sup 60} Co gamma rays in doses of 5, 10, 15, 20 and 25 Gy, established in the ''La Labor'' Experimental Center of the Centro de Investigaciones Cientificas y Tecnologias del Aguacate en el Estado de Mexico (CICTAMEX) at Temascaltepec Mexico. Productivity had a significant increase in the dose of 15 Gy being the average number of fruits nearly 400 % more than the control at fruit setting, being such difference reduced at fruit harvesting to 300 %. In regard to postharvest performance, the respiration index (mg CO{sub 2}/kg/hr) did not show significant differences among treatments. Also others variables such as physiological weight losses, texture, maturity pattern, and sensorial tests (color, flavor, aroma, texture) were not different in regard to the control. This mean that radiation has altered productivity but not the quality and postharvest behavior of fruits. (Author)

  13. Multiple Transcoding Impact on Speech Quality in Ideal Network Conditions

    Directory of Open Access Journals (Sweden)

    Martin Mikulec

    2015-01-01

    Full Text Available This paper deals with the impact of transcoding on the speech quality. We have focused mainly on the transcoding between codecs without the negative influence of the network parameters such as packet loss and delay. It has ensured objective and repeatable results from our measurement. The measurement was performed on the Transcoding Measuring System developed especially for this purpose. The system is based on the open source projects and is useful as a design tool for VoIP system administrators. The paper compares the most used codecs from the transcoding perspective. The multiple transcoding between G711, GSM and G729 codecs were performed and the speech quality of these calls was evaluated. The speech quality was measured by Perceptual Evaluation of Speech Quality method, which provides results in Mean Opinion Score used to describe the speech quality on a scale from 1 to 5. The obtained results indicate periodical speech quality degradation on every transcoding between two codecs.

  14. Image and Video Quality Assessment Using Neural Network and SVM

    Institute of Scientific and Technical Information of China (English)

    DING Wenrui; TONG Yubing; ZHANG Qishan; YANG Dongkai

    2008-01-01

    An image and video quality assessment method was developed using neural network and support vector machines (SVM) with the peak signal to noise ratio (PSNR) and the structure similarity indexes used to describe image quality. The neural network was used to obtain the mapping functions between the objec-tive quality assessment indexes and subjective quality assessment. The SVM was used to classify the im-ages into different types which were accessed using different mapping functions. Video quality was as-sessed based on the quality of each frame in the video sequence with various weights to describe motion and scene changes in the video. The number of isolated points in the correlations of the image and video subjective and objective quality assessments was reduced by this method. Simulation results show that the method accurately accesses image quality. The monotonicity of the method for images is 6.94% higher than with the PSNR method, and the root mean square error is at least 35.90% higher than with the PSNR.

  15. Adaptive Quality of Transmission Control in Elastic Optical Network

    Science.gov (United States)

    Cai, Xinran

    Optical fiber communication is becoming increasingly important due to the burgeoning demand in the internet capacity. However, traditional wavelength division multiplexing (WDM) technique fails to address such demand because of its inefficient spectral utilization. As a result, elastic optical networking (EON) has been under extensive investigation recently. Such network allows sub-wavelength and super-wavelength channel accommodation, and mitigates the stranded bandwidth problem in the WDM network. In addition, elastic optical network is also able to dynamically allocate the spectral resources of the network based on channel conditions and impairments, and adaptively control the quality of transmission of a channel. This application requires two aspects to be investigated: an efficient optical performance monitoring scheme and networking control and management algorithms to reconfigure the network in a dynamic fashion. This thesis focuses on the two aspects discussed above about adaptive QoT control. We demonstrated a supervisory channel method for optical signal to noise ratio (OSNR) and chromatic dispersion (CD) monitoring. In addition, our proof-of-principle testbed experiments show successful impairment aware reconfiguration of the network with modulation format switching (MFS) only and MFS combined with lightpath rerouting (LR) for hundred-GHz QPSK superchannels undergoing time-varying OSNR impairment.

  16. Characterizing air quality data from complex network perspective.

    Science.gov (United States)

    Fan, Xinghua; Wang, Li; Xu, Huihui; Li, Shasha; Tian, Lixin

    2016-02-01

    Air quality depends mainly on changes in emission of pollutants and their precursors. Understanding its characteristics is the key to predicting and controlling air quality. In this study, complex networks were built to analyze topological characteristics of air quality data by correlation coefficient method. Firstly, PM2.5 (particulate matter with aerodynamic diameter less than 2.5 μm) indexes of eight monitoring sites in Beijing were selected as samples from January 2013 to December 2014. Secondly, the C-C method was applied to determine the structure of phase space. Points in the reconstructed phase space were considered to be nodes of the network mapped. Then, edges were determined by nodes having the correlation greater than a critical threshold. Three properties of the constructed networks, degree distribution, clustering coefficient, and modularity, were used to determine the optimal value of the critical threshold. Finally, by analyzing and comparing topological properties, we pointed out that similarities and difference in the constructed complex networks revealed influence factors and their different roles on real air quality system.

  17. Quality of Service in Networks Supporting Cultural Multimedia Applications

    Science.gov (United States)

    Kanellopoulos, Dimitris N.

    2011-01-01

    Purpose: This paper aims to provide an overview of representative multimedia applications in the cultural heritage sector, as well as research results on quality of service (QoS) mechanisms in internet protocol (IP) networks that support such applications. Design/methodology/approach: The paper's approach is a literature review. Findings: Cultural…

  18. Monitoring air quality in mountains: Designing an effective network

    Science.gov (United States)

    Peterson, D.L.

    2000-01-01

    A quantitatively robust yet parsimonious air-quality monitoring network in mountainous regions requires special attention to relevant spatial and temporal scales of measurement and inference. The design of monitoring networks should focus on the objectives required by public agencies, namely: 1) determine if some threshold has been exceeded (e.g., for regulatory purposes), and 2) identify spatial patterns and temporal trends (e.g., to protect natural resources). A short-term, multi-scale assessment to quantify spatial variability in air quality is a valuable asset in designing a network, in conjunction with an evaluation of existing data and simulation-model output. A recent assessment in Washington state (USA) quantified spatial variability in tropospheric ozone distribution ranging from a single watershed to the western third of the state. Spatial and temporal coherence in ozone exposure modified by predictable elevational relationships ( 1.3 ppbv ozone per 100 m elevation gain) extends from urban areas to the crest of the Cascade Range. This suggests that a sparse network of permanent analyzers is sufficient at all spatial scales, with the option of periodic intensive measurements to validate network design. It is imperative that agencies cooperate in the design of monitoring networks in mountainous regions to optimize data collection and financial efficiencies.

  19. Quality of Source Location Protection in Globally Attacked Sensor Networks

    CERN Document Server

    Kokalj-Filipovic, Silvija; Spasojevic, Predrag

    2010-01-01

    We propose an efficient scheme for generating fake network traffic to disguise the real event notification in the presence of a global eavesdropper, which is especially relevant for the quality of service in delay-intolerant applications monitoring rare and spatially sparse events, and deployed as large wireless sensor networks with single data collector. The efficiency of the scheme that provides statistical source anonymity is achieved by partitioning network nodes randomly into several node groups. Members of the same group collectively emulate both temporal and spatial distribution of the event. Under such dummy-traffic framework of the source anonymity protection, we aim to better model the global eavesdropper, especially her way of using statistical tests to detect the real event, and to present the quality of the location protection as relative to the adversary's strength. In addition, our approach aims to reduce the per-event work spent to generate the fake traffic while, most importantly, providing a...

  20. IAEA's ALMERA network: Supporting the quality of environmental radioactivity measurements.

    Science.gov (United States)

    Osvath, I; Tarjan, S; Pitois, A; Groening, M; Osborn, D

    2016-03-01

    The International Atomic Energy Agency coordinates and provides methodological and analytical quality support to the network of Analytical Laboratories for the Measurement of Environmental Radioactivity (ALMERA), comprising 150 laboratories in 84 countries. Annual proficiency tests (PTs) are organized for the network laboratories using sets of different samples typically encountered in environmental and food monitoring laboratories. The PT system is designed to respond to the needs of the network for rapid response and reliable measurement results, and to metrological principles and international standards and guides. Comparison of performance of ALMERA and non-ALMERA laboratories in PTs indicates that the "PT - method development - training - PT" strategy adopted for capability building is beneficial to the network. Copyright © 2016 Elsevier Ltd. All rights reserved.

  1. Structural Quality of Service in Large-Scale Networks

    DEFF Research Database (Denmark)

    Pedersen, Jens Myrup

    Digitalization has created the base for co-existence and convergence in communications, leading to an increasing use of multi service networks. This is for example seen in the Fiber To The Home implementations, where a single fiber is used for virtually all means of communication, including TV, t...... complex networks lacking predictability and global structural properties. The thesis applies the concept of Structural Quality of Service to formulate desirable global properties, and it shows how regular graph structures can be used to obtain such properties....

  2. Pediatric collaborative networks for quality improvement and research.

    Science.gov (United States)

    Lannon, Carole M; Peterson, Laura E

    2013-01-01

    Despite efforts of individual clinicians, pediatric practices, and institutions to remedy continuing deficiencies in pediatric safety and health care quality, multiple gaps and disparities exist. Most pediatric diseases are rare; thus, few practices or centers care for sufficient numbers of children, particularly in subspecialties, to achieve large and representative sample sizes, and substantial between-site variation in care and outcomes persists. Pediatric collaborative improvement networks are multi-site clinical networks that allow practice-based teams to learn from one another, test changes to improve quality, and use their collective experience and data to understand, implement, and spread what works in practice. The model was initially developed in 2002 by an American Board of Pediatrics Workgroup to accelerate the translation of evidence into practice, improve care and outcomes for children, and to serve as the gold standard for the performance in practice component of Maintenance of Certification requirements. Many features of an improvement network derive from the Institute for Healthcare Improvement's collaborative improvement model Breakthrough Series, including focus on a high-impact condition or topic; providing support from clinical content and quality improvement experts; using the Model for Improvement to set aims, use data for feedback, and test changes iteratively; providing infrastructure support for data collection, analysis and reporting, and quality improvement coaching; activities to enhance collaboration; and participation of multidisciplinary teams from multiple sites. In addition, they typically include a population registry of the children receiving care for the improvement topic of interest. These registries provide large and representative study samples with high-quality data that can be used to generate information and evidence, as well as to inform clinical decision making. In addition to quality improvement, networks serve as large

  3. A Method for Assessing Quality of Service in Broadband Networks

    DEFF Research Database (Denmark)

    Bujlow, Tomasz; Riaz, M. Tahir; Pedersen, Jens Myrup

    2012-01-01

    Monitoring of Quality of Service (QoS) in high-speed Internet infrastructure is a challenging task. However, precise assessments must take into account the fact that the requirements for the given quality level are service-dependent. Backbone QoS monitoring and analysis requires processing of large...... taken from the description of system sockets. This paper proposes a new method for measuring the Quality of Service (QoS) level in broadband networks, based on our Volunteer-Based System for collecting the training data, Machine Learning Algorithms for generating the classification rules and application...... and provide C5.0 high-quality training data, divided into groups corresponding to different types of applications. It was found that currently existing means of collecting data (classification by ports, Deep Packet Inspection, statistical classification, public data sources) are not sufficient and they do...

  4. Enhanced data validation strategy of air quality monitoring network.

    Science.gov (United States)

    Harkat, Mohamed-Faouzi; Mansouri, Majdi; Nounou, Mohamed; Nounou, Hazem

    2017-10-05

    Quick validation and detection of faults in measured air quality data is a crucial step towards achieving the objectives of air quality networks. Therefore, the objectives of this paper are threefold: (i) to develop a modeling technique that can be used to predict the normal behavior of air quality variables and help provide accurate reference for monitoring purposes; (ii) to develop fault detection method that can effectively and quickly detect any anomalies in measured air quality data. For this purpose, a new fault detection method that is based on the combination of generalized likelihood ratio test (GLRT) and exponentially weighted moving average (EWMA) will be developed. GLRT is a well-known statistical fault detection method that relies on maximizing the detection probability for a given false alarm rate. In this paper, we propose to develop GLRT-based EWMA fault detection method that will be able to detect the changes in the values of certain air quality variables; (iii) to develop fault isolation and identification method that allows defining the fault source(s) in order to properly apply appropriate corrective actions. In this paper, reconstruction approach that is based on Midpoint-Radii Principal Component Analysis (MRPCA) model will be developed to handle the types of data and models associated with air quality monitoring networks. All air quality modeling, fault detection, fault isolation and reconstruction methods developed in this paper will be validated using real air quality data (such as particulate matter, ozone, nitrogen and carbon oxides measurement). Copyright © 2017 Elsevier Inc. All rights reserved.

  5. A Neural Network Model for Prediction of Sound Quality

    DEFF Research Database (Denmark)

    Nielsen,, Lars Bramsløw

    error on the test set. The overall concept proved functional, but further testing with data obtained from a new rating experiment is necessary to better assess the utility of this measure. The weights in the trained neural networks were analyzed to qualitatively interpret the relation between...... obtained in subjective sound quality rating experiments based on input data from an auditory model. Various types of input data and data representations from the auditory model were used as input data for the chosen network structure, which was a three-layer perceptron. This network was trained by means...... was evaluated for two types of test set extracted from the complete data set. With a test set consisting of mixed stimuli, the prediction error was only slightly larger than the statistical error in the training data itself. Using a particular group of stimuli for the test set, there was a systematic prediction...

  6. The impacts of network competence, knowledge sharing on service innovation performance: Moderating role of relationship quality

    Directory of Open Access Journals (Sweden)

    Zaoquan Jian

    2013-03-01

    Full Text Available Purpose: To examine how network competence, knowledge sharing and relationship quality affect service innovation performanceDesign/methodology/approach: Empirical ResearchFindings: 1 Both enterprise’s network competence and knowledge sharing have distinct positive impact on SIP; (2 Knowledge sharing partially mediates the effect of network competence on SIP. (3 Relationship quality positively moderates the effect of network competence on knowledge sharing, and the effect of knowledge sharing on SIP. (4 Relationship quality does not positively moderate the effect of network competence on SIP.Originality/value: This study has enriched current understanding of the relationship among network competence, knowledge sharing, relationship quality and service innovation performance.

  7. NQAR: Network Quality Aware Routing in Error-Prone Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Jaewon Choi

    2010-01-01

    Full Text Available We propose a network quality aware routing (NQAR mechanism to provide an enabling method of the delay-sensitive data delivery over error-prone wireless sensor networks. Unlike the existing routing methods that select routes with the shortest arrival latency or the minimum hop count, the proposed scheme adaptively selects the route based on the network qualities including link errors and collisions with minimum additional complexity. It is designed to avoid the paths with potential noise and collision that may cause many non-deterministic backoffs and retransmissions. We propose a generic framework to select a minimum cost route that takes the packet loss rate and collision history into account. NQAR uses a data centric approach to estimate a single-hop delay based on processing time, propagation delay, packet loss rate, number of backoffs, and the retransmission timeout between two neighboring nodes. This enables a source node to choose the shortest expected end-to-end delay path to send a delay-sensitive data. The experiment results show that NQAR reduces the end-to-end transfer delay up to approximately 50% in comparison with the latency-based directed diffusion and the hop count-based directed diffusion under the error-prone network environments. Moreover, NQAR shows better performance than those routing methods in terms of jitter, reachability, and network lifetime.

  8. Comparison Of Power Quality Disturbances Classification Based On Neural Network

    Directory of Open Access Journals (Sweden)

    Nway Nway Kyaw Win

    2015-07-01

    Full Text Available Abstract Power quality disturbances PQDs result serious problems in the reliability safety and economy of power system network. In order to improve electric power quality events the detection and classification of PQDs must be made type of transient fault. Software analysis of wavelet transform with multiresolution analysis MRA algorithm and feed forward neural network probabilistic and multilayer feed forward neural network based methodology for automatic classification of eight types of PQ signals flicker harmonics sag swell impulse fluctuation notch and oscillatory will be presented. The wavelet family Db4 is chosen in this system to calculate the values of detailed energy distributions as input features for classification because it can perform well in detecting and localizing various types of PQ disturbances. This technique classifies the types of PQDs problem sevents.The classifiers classify and identify the disturbance type according to the energy distribution. The results show that the PNN can analyze different power disturbance types efficiently. Therefore it can be seen that PNN has better classification accuracy than MLFF.

  9. Optimizing sliver quality using Artificial Neural Networks in ring spinning

    Directory of Open Access Journals (Sweden)

    Samar Ahmed Mohsen Abd-Ellatif

    2013-12-01

    Full Text Available Sliver evenness is a very important parameter affecting the quality of the yarn produced. Therefore, controlling the sliver evenness is of major importance. Auto-levelers mounted on modern Drawing Frames should be accurately adjusted to help to achieve this task. The Leveling Action Point (LAP is one of the important auto-leveling parameters which highly influence the evenness of the slivers produced. Its adjustment is therefore of a crucial importance. In this research work, Artificial Neural Networks are applied to predict the optimum value of the LAP under different productions and material conditions. Five models are developed and tested for their ability to predict the optimum value of the LAP from the most influencing fiber and process parameters. As a final step, a statistical multiple regression model was developed to conduct a comparison between the performance of the developed Artificial Neural Network model and the currently applied statistical techniques.

  10. Wireless sensor networks for indoor air quality monitoring.

    Science.gov (United States)

    Yu, Tsang-Chu; Lin, Chung-Chih; Chen, Chun-Chang; Lee, Wei-Lun; Lee, Ren-Guey; Tseng, Chao-Heng; Liu, Shi-Ping

    2013-02-01

    The purpose of this study is to build an indoor air quality monitoring system based on wireless sensor networks (WSNs) technology. The main functions of the system include (1) remote parameter adjustment and firmware update mechanism for the sensors to enhance the flexibility and convenience of the system, (2) sensor nodes are designed by referring to the IEEE 1451.4 standard. This way, sensor nodes can automatically adjust and be plug and play, and (3) calibration method to strength the measurement value's sensitivity and accuracy. The experimental results show that transmission speed improves 30% than Trickle, transmission volume reduced to 42% of the original volume, updating task in 5*5 network topology can be executed 1.79 times and power consumption reduced to 30%. When baseline drifts, we can use the firmware update mechanism to adjust the reference value. The way can reduce error percentage from 15% to 7%. Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.

  11. Simulacion y evaluacion de una propuesta de implementacion del minimo vital de agua potable en Colombia

    National Research Council Canada - National Science Library

    Mendez Sayago, Jhon Alexander; Mendez Sayago, Johanna Mildred

    2011-01-01

    Este articulo presenta la simulacion y evaluacion de la implementacion del minimo vital de agua potable para los usuarios de los estratos uno y dos, subsidiada a partir del incremento en las tarifas...

  12. Metodos estadisticos de evaluacion de la concordancia y la reproducibilidad de pruebas diagnosticas

    National Research Council Canada - National Science Library

    Cortes-Reyes, Edgar; Rubio-Romero, Jorge Andres; Gaitan-Duarte, Hernando

    2010-01-01

    Introduccion: en la evaluacion de la utilidad de una prueba diagnostica, se requiere en algunas situaciones valorar la reproducibilidad de los resultados o la concordancia de los mismos al compararla...

  13. Power quality assessment using an adaptive neural network

    Energy Technology Data Exchange (ETDEWEB)

    Dash, P.K.; Swain, D.P.; Mishra, B.R. [Regional Engineering Coll., Rourkela (India). Dept. of Electrical Engineering; Rahman, S. [Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States)

    1995-12-31

    The paper presents an adaptive neural network approach for the estimation of harmonic components of a power system and the power quality. The neural estimator is based on the use of an adaptive perceptron consisting of a linear adaptive neuron called Adaline. The learning parameters in the proposed algorithm are adjusted to force the error between the actual and desired outputs to satisfy a stable difference error equation. The estimator tracks the Fourier coefficients of the signal data corrupted with noise and decaying dc components very accurately. Adaptive tracking of harmonic components of a power system can easily be done using this algorithm. Several numerical tests have been conducted for the adaptive estimation of harmonic components, total harmonic distortion and power quality of power system signals mixed with noise and decaying dc components.

  14. REVISIÓN DE LAS EVALUACIONES ADAPTATIVAS COMPUTARIZADAS (CAT

    Directory of Open Access Journals (Sweden)

    Ruber López

    2015-06-01

    Full Text Available En este artículo presentamos una revisión de las Evaluaciones Adaptativas Computarizadas. A diferencia de los test convencionales, estas evaluaciones plantean un examen adaptado a las necesidades y capacidades de cada uno de los evaluados, lo cual redunda en una mejor experiencia para el evaluado y en una mayor precisión del resultado. Las evaluaciones adaptativas se fundamentan en la teoría de respuesta a ítems, que define las directrices y condiciones para que este tipo de pruebas sea posible. A partir de esta teoría, surgen distintos modelos que permiten modelar diferentes rasgos de los evaluados y la relación de estos con la probabilidad de acertar un ítem dado. Para llevar a cabo el proceso de evaluación, un test adaptativo debe estar conformado de un banco de ítems, un método que permita la selección de estos y un criterio de terminación. Todos estos componentes articulan la prueba y la ayudan a concretarse adecuadamente. AbstractThis paper is a review of the Computerized Adaptive Testing Process. Unlike conventional tests, these assessments propose a test adapted to every examinee’s needs and capabilities, which results in a better experience for those assessed and a more accurate score. Adaptive assessments are based on item response theory, which defines the guidelines and conditions for such tests to be carried out. From this theory, different models that allow the repositioning of different traits of the examinees and their relationship with the probability to succeed in a given item, arise. To complete the assessment process, an adaptive test should consist of a set of items, a method which allows the selection of these and a termination criterion. All the aforementioned components articulate the test and help to properly materialize it.

  15. Applications of artificial neural networks for microbial water quality modeling

    Energy Technology Data Exchange (ETDEWEB)

    Brion, G.M.; Lingireddy, S. [Univ. of Kentucky, Dept. of Civil Engineering, Lexington, Kentucky (United States)]. E-mail: gbrion@engr.uky.edu

    2002-06-15

    There has been a significant shift in the recent past towards protecting chemical and microbial quality of source waters rather than developing advanced methods to treat heavily polluted water. The key to successful best management practices in protecting the source waters is to identify sources of non-point pollution and their collective impact on the quality of water at the intake. This article presents a few successful applications where artificial neural networks (ANN) have proven to be the useful mathematical tools in correlating the nonlinear relationships between routinely measured parameters (such as rainfall, turbidity, fecal coliforms etc.) and quality of source waters and/or nature of fecal sources. These applications include, prediction of peak concentrations of Giardia and Cryptosporidium, sorting of fecal sources (e.g. agricultural animals vs. urban animals), predicting relative ages of the runoff sources, identifying the potential for sewage contamination. The ability of ANNs to work with complex, inter-related multiparameter databases, and provide superior predictive power in non-linear relationships has been the key for their successful application to microbial water quality studies. (author)

  16. Applying fuzzy analytic network process in quality function deployment model

    Directory of Open Access Journals (Sweden)

    Mohammad Ali Afsharkazemi

    2012-08-01

    Full Text Available In this paper, we propose an empirical study of QFD implementation when fuzzy numbers are used to handle the uncertainty associated with different components of the proposed model. We implement fuzzy analytical network to find the relative importance of various criteria and using fuzzy numbers we calculate the relative importance of these factors. The proposed model of this paper uses fuzzy matrix and house of quality to study the products development in QFD and also the second phase i.e. part deployment. In most researches, the primary objective is only on CRs to implement the quality function deployment and some other criteria such as production costs, manufacturing costs etc were disregarded. The results of using fuzzy analysis network process based on the QFD model in Daroupat packaging company to develop PVDC show that the most important indexes are being waterproof, resistant pill packages, and production cost. In addition, the PVDC coating is the most important index in terms of company experts’ point of view.

  17. Water quality monitoring for high-priority water bodies in the Sonoran Desert network

    Science.gov (United States)

    Terry W. Sprouse; Robert M. Emanuel; Sara A. Strorrer

    2005-01-01

    This paper describes a network monitoring program for “high priority” water bodies in the Sonoran Desert Network of the National Park Service. Protocols were developed for monitoring selected waters for ten of the eleven parks in the Network. Park and network staff assisted in identifying potential locations of testing sites, local priorities, and how water quality...

  18. Quality assurance of the gene ontology using abstraction networks.

    Science.gov (United States)

    Ochs, Christopher; Perl, Yehoshua; Halper, Michael; Geller, James; Lomax, Jane

    2016-06-01

    The gene ontology (GO) is used extensively in the field of genomics. Like other large and complex ontologies, quality assurance (QA) efforts for GO's content can be laborious and time consuming. Abstraction networks (AbNs) are summarization networks that reveal and highlight high-level structural and hierarchical aggregation patterns in an ontology. They have been shown to successfully support QA work in the context of various ontologies. Two kinds of AbNs, called the area taxonomy and the partial-area taxonomy, are developed for GO hierarchies and derived specifically for the biological process (BP) hierarchy. Within this framework, several QA heuristics, based on the identification of groups of anomalous terms which exhibit certain taxonomy-defined characteristics, are introduced. Such groups are expected to have higher error rates when compared to other terms. Thus, by focusing QA efforts on anomalous terms one would expect to find relatively more erroneous content. By automatically identifying these potential problem areas within an ontology, time and effort will be saved during manual reviews of GO's content. BP is used as a testbed, with samples of three kinds of anomalous BP terms chosen for a taxonomy-based QA review. Additional heuristics for QA are demonstrated. From the results of this QA effort, it is observed that different kinds of inconsistencies in the modeling of GO can be exposed with the use of the proposed heuristics. For comparison, the results of QA work on a sample of terms chosen from GO's general population are presented.

  19. Neural Network-Based Resistance Spot Welding Control and Quality Prediction

    Energy Technology Data Exchange (ETDEWEB)

    Allen, J.D., Jr.; Ivezic, N.D.; Zacharia, T.

    1999-07-10

    This paper describes the development and evaluation of neural network-based systems for industrial resistance spot welding process control and weld quality assessment. The developed systems utilize recurrent neural networks for process control and both recurrent networks and static networks for quality prediction. The first section describes a system capable of both welding process control and real-time weld quality assessment, The second describes the development and evaluation of a static neural network-based weld quality assessment system that relied on experimental design to limit the influence of environmental variability. Relevant data analysis methods are also discussed. The weld classifier resulting from the analysis successfldly balances predictive power and simplicity of interpretation. The results presented for both systems demonstrate clearly that neural networks can be employed to address two significant problems common to the resistance spot welding industry, control of the process itself, and non-destructive determination of resulting weld quality.

  20. Better understanding of water quality evolution in water distribution networks using data clustering.

    Science.gov (United States)

    Mandel, Pierre; Maurel, Marie; Chenu, Damien

    2015-12-15

    The complexity of water distribution networks raises challenges in managing, monitoring and understanding their behavior. This article proposes a novel methodology applying data clustering to the results of hydraulic simulation to define quality zones, i.e. zones with the same dynamic water origin. The methodology is presented on an existing Water Distribution Network; a large dataset of conductivity measurements measured by 32 probes validates the definition of the quality zones. The results show how quality zones help better understanding the network operation and how they can be used to analyze water quality events. Moreover, a statistical comparison with 158,230 conductivity measurements validates the definition of the quality zones.

  1. Provincial soil-quality monitoring networks in the Netherlands as an instrument for environmental protection

    NARCIS (Netherlands)

    Busink, E.R.V.; Postma, S.

    2000-01-01

    Since 1991, several provinces in the Netherlands have put much effort in establishing soil-quality monitoring networks. The purpose of these networks is to provide insight in the trends in (geochemical) soil quality, on which new policies for environmental protection can be based, such as restrictio

  2. The Structure and Quality of Social Network Support among Mental Health Consumers of Clubhouse Programs

    Science.gov (United States)

    Pernice-Duca, Francesca M.

    2008-01-01

    This study explored the structure and quality of social network support among a group of adult consumers of community-based mental health programs known as "clubhouses". The structure and quality of social network support was also examined by diagnosis, specifically between consumers living with and without schizophrenia. The study…

  3. Fuzzy-Logic Based Multi-Sensory Quality Evaluation via Communication Network

    Institute of Scientific and Technical Information of China (English)

    LI Li-xiong(李力雄); TAN Yue-mei(谭月梅); FEI Minrui(费敏锐); T.C.Yang

    2004-01-01

    In this paper, a multi-sensory quality evaluation using an array of instruments to measure different sensory qualities is established via communication network. The network is used to transmit quality data to evaluation computer. And the network-induced delays between instruments and computer may have negative influence on final evaluation results. The main goal of this paper is to analyze network delays' influence on evaluation results, and present a fuzzy-logic based solution to eliminate the impact and improve the precision of evaluation. And simulations are conducted to show the effectiveness of the proposed approach.

  4. The Quality of Social Networks: Its Determinants and Impacts on Helping and Volunteering in Macao

    Science.gov (United States)

    Tong, Kwok Kit; Hung, Eva P. W.; Yuen, Sze Man

    2011-01-01

    Pro-social behaviors serve essential societal functions. This study examines the factors affecting the quality of social networks, in terms of network size and perceived respect. It further explores the role of social networks in enhancing helping intention and helping behaviors. Eight hundred and eighty people were randomly interviewed by phone.…

  5. Social networks of people with mild intellectual disabilities: characteristics, satisfaction, wishes and quality of life

    NARCIS (Netherlands)

    Asselt-Goverts, A.E. van; Embregts, P.J.C.M.; Hendriks, A.H.C.

    2015-01-01

    BackgroundA supportive social network is crucial for facilitating social inclusion, which can, in turn, contribute to the quality of life (QOL) for people with intellectual disabilities (ID). In this study, we investigate how people with mild ID perceive their social networks and which network chara

  6. The Quality of Social Networks: Its Determinants and Impacts on Helping and Volunteering in Macao

    Science.gov (United States)

    Tong, Kwok Kit; Hung, Eva P. W.; Yuen, Sze Man

    2011-01-01

    Pro-social behaviors serve essential societal functions. This study examines the factors affecting the quality of social networks, in terms of network size and perceived respect. It further explores the role of social networks in enhancing helping intention and helping behaviors. Eight hundred and eighty people were randomly interviewed by phone.…

  7. Voice Quality Estimation in Combined Radio-VoIP Networks for Dispatching Systems

    Directory of Open Access Journals (Sweden)

    Jiri Vodrazka

    2016-01-01

    Full Text Available The voice quality modelling assessment and planning field is deeply and widely theoretically and practically mastered for common voice communication systems, especially for the public fixed and mobile telephone networks including Next Generation Networks (NGN - internet protocol based networks. This article seeks to contribute voice quality modelling assessment and planning for dispatching communication systems based on Internet Protocol (IP and private radio networks. The network plan, correction in E-model calculation and default values for the model are presented and discussed.

  8. Management of speech and video telephony quality in heterogeneous wireless networks

    CERN Document Server

    Lewcio, Błażej

    2014-01-01

    This book shows how networking research and quality engineering can be combined to successfully manage the transmission quality when speech and video telephony is delivered in heterogeneous wireless networks. Nomadic use of services requires intelligent management of ongoing transmission, and to make the best of available resources many fundamental trade-offs must be considered. Network coverage versus throughput and reliability of a connection is one key aspect, efficiency versus robustness of signal compression is another. However, to successfully manage services, user-perceived Quality of Experience (QoE) in heterogeneous networks must be known, and the perception of quality changes must be understood.  These issues are addressed in this book, in particular focusing on the perception of quality changes due to switching between diverse networks, speech and video codecs, and encoding bit rates during active calls.

  9. Facing a Problem of Electrical Energy Quality in Ship Networks-measurements, Estimation, Control

    Institute of Scientific and Technical Information of China (English)

    Tomasz Tarasiuk; Janusz Mindykowski; Xiaoyan Xu

    2003-01-01

    In this paper, electrical energy quality and its indices in ship electric networks are introduced, especially the meaning of electrical energy quality terms in voltage and active and reactive power distribution indices. Then methods of measurement of marine electrical energy indices are introduced in details and a microprocessor measurement-diagnosis system with the function of measurement and control is designed. Afterwards, estimation and control of electrical power quality of marine electrical power networks are introduced. And finally, according to the existing method of measurement and control of electrical power quality in ship power networks, the improvement of relative method is proposed.

  10. Encryption for confidentiality of the network and influence of this to the quality of streaming video through network

    Science.gov (United States)

    Sevcik, L.; Uhrin, D.; Frnda, J.; Voznak, M.; Toral-Cruz, Homer; Mikulec, M.; Jakovlev, Sergej

    2015-05-01

    Nowadays, the interest in real-time services, like audio and video, is growing. These services are mostly transmitted over packet networks, which are based on IP protocol. It leads to analyses of these services and their behavior in such networks which are becoming more frequent. Video has become the significant part of all data traffic sent via IP networks. In general, a video service is one-way service (except e.g. video calls) and network delay is not such an important factor as in a voice service. Dominant network factors that influence the final video quality are especially packet loss, delay variation and the capacity of the transmission links. Analysis of video quality concentrates on the resistance of video codecs to packet loss in the network, which causes artefacts in the video. IPsec provides confidentiality in terms of safety, integrity and non-repudiation (using HMAC-SHA1 and 3DES encryption for confidentiality and AES in CBC mode) with an authentication header and ESP (Encapsulating Security Payload). The paper brings a detailed view of the performance of video streaming over an IP-based network. We compared quality of video with packet loss and encryption as well. The measured results demonstrated the relation between the video codec type and bitrate to the final video quality.

  11. Network Analysis of Strategic Marketing Actions and Quality Function Deployment

    Directory of Open Access Journals (Sweden)

    fatema daneshian

    2011-12-01

    Nowadays, strategic marketing management has become an accepted practice in the strategic field. An increasing number of researchers consider marketing strategies for offering key competitive advantages associated with strategic marketing management. Every decision in the strategic field should be based on three dimensions of evaluating market, evaluating competitors and evaluating company. In this research, a model has been developed for selecting and ranking marketing strategies considering the evaluation of market (customer satisfaction elements, competitors and company based on Kano model. Quality function deployment (QFD and the analytic network process (ANP approaches have been used for market prioritization. The research has been carried out in three phases. In Phase one, the Kano model of customer satisfaction has been used to determine which requirements of a product or service brings more satisfaction to the customers, followed by the evaluation of competitors and gap analyze. In Phase two, The QFD approach has been used to incorporate the voice of customer (VOC into the marketing strategies of the company and has provided a systematic planning tool for considering the information of elements (in the last phase to make appropriate decisions effectively and efficiently. In Phase three, the ANP method has been used to analyze strategic actions considering company conditions. Finally the outputs of QFD have been corrected by ANP weights. Findings imply that the three most important strategic actions which are important for the company include offering differentiated and new generation of products to the market (leapfrog strategy, optimizing visual properties of products, and widespread and attractive advertising (frontal attack.

  12. The MAP3S network data and quality control summary for 1985

    Energy Technology Data Exchange (ETDEWEB)

    Dana, M.T.

    1988-02-01

    This report, the ninth in a series documenting results from the MAP3S Precipitation Chemistry Network, contains a statistical summary of daily precipitation chemistry data from the nine-site network in the eastern United States, both for the year 1985 alone and for the period 1977 through 1985. In addition, a report on quality control and external quality assurance activities is included, which updates the 1980 quality control report.

  13. Enhancing Network Quality using Baseband Frequency Hopping, Downlink Power Control and DTX in a Live GSM Network

    DEFF Research Database (Denmark)

    Nielsen, Thomas Toftegaard; Wagard, Jeroen; Skjærris, Søren

    1998-01-01

    Baseband frequency hopping in the combination with downlink power control and discontinuous transmission has been investigated as a quality improving feature in a live GSM network. Using the dropped call rate and the frame erasure rate to measure the network quality, the use of frequency hopping...... proves a powerful network quality enhancement feature. By optimising the frequency plan and the handover algorithm a reduction in dropped calls is achieved. Along with frequency hopping, downlink discontinuous transmission has been investigated. In this situation an increase in bad quality, partly due...... to the statistical inaccuracy with discontinuous transmission in GSM and maybe due to poor performance of the mobile stations, was encountered. The current status is therefore to reject the use of downlink discontinuous transmission until more information about the performance of the mobile stations is found...

  14. Quality Control of Observation Data by the Geomagnetic Network of China

    OpenAIRE

    Suqin Zhang; Changhua Fu; Yufei He; Dongmei Yang; Qi Li; Xudong Zhao; Jianjun Wang

    2016-01-01

    Data quality is an important guarantee for scientific research. The Geomagnetic Network of China (GNC) controls data quality for all observatories under the jurisdiction of China Earthquake Administration. This paper presents the quality control content and methods; quality evaluation and feedback procedures; and the process for publishing data sets via the GNC website. Technical challenges and proposed quality assurance procedures for future GNC data sets are described.

  15. Monitoring activities in the Dutch National Air Quality Monitoring Network in 2000 and 2001

    NARCIS (Netherlands)

    Elzakker BG van; LLO

    2001-01-01

    The Dutch National Air Quality Monitoring Network (LML in Dutch) is one of the responsibilities of the Air Research Laboratory of the National Institute of Public Health and the Environment. The main objectives of the LML are to monitor ambient air quality, facilitate implementation of air quality

  16. Monitoring activities in the Dutch National Air Quality Monitoring Network in 2000 and 2001

    NARCIS (Netherlands)

    Elzakker BG van; LLO

    2001-01-01

    The Dutch National Air Quality Monitoring Network (LML in Dutch) is one of the responsibilities of the Air Research Laboratory of the National Institute of Public Health and the Environment. The main objectives of the LML are to monitor ambient air quality, facilitate implementation of air quality s

  17. Network Analysis of Strategic Marketing Actions and Quality Function Deployment

    Directory of Open Access Journals (Sweden)

    Fatemeh Daneshian

    2011-01-01

    Full Text Available Nowadays, strategic marketing management has become an accepted practice in the strategic field. An increasing number of researchers consider marketing strategies for offering key competitive advantages associated with strategic marketing management. Every decision in the strategic field should be based on three dimensions of evaluating market, evaluating competitors and evaluating company. In this research, a model has been developed for selecting and ranking marketing strategies considering the evaluation of market (customer satisfaction elements, competitors and company based on Kano model. Quality function deployment (QFD and the analytic network process (ANP approaches have been used for market prioritization. The research has been carried out in three phases. In Phase one, the Kano model of customer satisfaction has been used to determine which requirements of a product or service brings more satisfaction to the customers, followed by the evaluation of competitors and gap analyze. In Phase two, The QFD approach has been used to incorporate the voice of customer (VOC into the marketing strategies of the company and has provided a systematic planning tool for considering the information of elements (in the last phase to make appropriate decisions effectively and efficiently. In Phase three, the ANP method has been used to analyze strategic actions considering company conditions. Finally the outputs of QFD have been corrected by ANP weights. Findings imply that the three most important strategic actions which are important for the company include offering differentiated and new generation of products to the market (leapfrog strategy, optimizing visual properties of products, and widespread and attractive advertising (frontal attack.

  18. Integration and Analysis of Neighbor Discovery and Link Quality Estimation in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Marjan Radi

    2014-01-01

    Full Text Available Network connectivity and link quality information are the fundamental requirements of wireless sensor network protocols to perform their desired functionality. Most of the existing discovery protocols have only focused on the neighbor discovery problem, while a few number of them provide an integrated neighbor search and link estimation. As these protocols require a careful parameter adjustment before network deployment, they cannot provide scalable and accurate network initialization in large-scale dense wireless sensor networks with random topology. Furthermore, performance of these protocols has not entirely been evaluated yet. In this paper, we perform a comprehensive simulation study on the efficiency of employing adaptive protocols compared to the existing nonadaptive protocols for initializing sensor networks with random topology. In this regard, we propose adaptive network initialization protocols which integrate the initial neighbor discovery with link quality estimation process to initialize large-scale dense wireless sensor networks without requiring any parameter adjustment before network deployment. To the best of our knowledge, this work is the first attempt to provide a detailed simulation study on the performance of integrated neighbor discovery and link quality estimation protocols for initializing sensor networks. This study can help system designers to determine the most appropriate approach for different applications.

  19. Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks.

    Science.gov (United States)

    Radi, Marjan; Dezfouli, Behnam; Abu Bakar, Kamalrulnizam; Abd Razak, Shukor

    2014-01-01

    Network connectivity and link quality information are the fundamental requirements of wireless sensor network protocols to perform their desired functionality. Most of the existing discovery protocols have only focused on the neighbor discovery problem, while a few number of them provide an integrated neighbor search and link estimation. As these protocols require a careful parameter adjustment before network deployment, they cannot provide scalable and accurate network initialization in large-scale dense wireless sensor networks with random topology. Furthermore, performance of these protocols has not entirely been evaluated yet. In this paper, we perform a comprehensive simulation study on the efficiency of employing adaptive protocols compared to the existing nonadaptive protocols for initializing sensor networks with random topology. In this regard, we propose adaptive network initialization protocols which integrate the initial neighbor discovery with link quality estimation process to initialize large-scale dense wireless sensor networks without requiring any parameter adjustment before network deployment. To the best of our knowledge, this work is the first attempt to provide a detailed simulation study on the performance of integrated neighbor discovery and link quality estimation protocols for initializing sensor networks. This study can help system designers to determine the most appropriate approach for different applications.

  20. The university library in social networks: planning a quality presence

    Directory of Open Access Journals (Sweden)

    Estela Carmen Andrade Andrade

    2011-02-01

    Full Text Available Talks about the feasibility of participation of university libraries in social networking. We present the benefits and opportunities of Web 2.0 and online communities. Poses a set of guidelines aimed at developing a work plan that enables the implementation of site information in a social network. It highlights the capabilities of librarians to optimize this type of service.

  1. The university library in social networks: planning a quality presence

    OpenAIRE

    Estela Carmen Andrade Andrade; Erika Jimena Velazquez Guerrero

    2011-01-01

    Talks about the feasibility of participation of university libraries in social networking. We present the benefits and opportunities of Web 2.0 and online communities. Poses a set of guidelines aimed at developing a work plan that enables the implementation of site information in a social network. It highlights the capabilities of librarians to optimize this type of service.

  2. El CAD-S, un instrumento para la evaluacion de la adaptacion al divorcio-separacion

    National Research Council Canada - National Science Library

    Yarnoz Yaben, Sagrario; Comino Gonzalez, Priscila

    2010-01-01

    ... de la investigacion sobre el tema del divorcio y sus consecuencias en adultos y ninos (Hetherington, 2005; vease tambien Amato, 2000; y Kelly, 2000, para una amplia revision) que puede servir de base a posibles tratamientos o intervenciones preventivas es importada de paises como los Estados Unidos. Lo mismo ocurre con los instrumentos de evaluacion. En el momento ...

  3. Design and Optimization of Capacitated Supply Chain Networks Including Quality Measures

    Directory of Open Access Journals (Sweden)

    Krystel K. Castillo-Villar

    2014-01-01

    Full Text Available This paper presents (1 a novel capacitated model for supply chain network design which considers manufacturing, distribution, and quality costs (named SCND-COQ model and (2 five combinatorial optimization methods, based on nonlinear optimization, heuristic, and metaheuristic approaches, which are used to solve realistic instances of practical size. The SCND-COQ model is a mixed-integer nonlinear problem which can be used at a strategic planning level to design a supply chain network that maximizes the total profit subject to meeting an overall quality level of the final product at minimum costs. The SCND-COQ model computes the quality-related costs for the whole supply chain network considering the interdependencies among business entities. The effectiveness of the proposed solution approaches is shown using numerical experiments. These methods allow solving more realistic (capacitated supply chain network design problems including quality-related costs (inspections, rework, opportunity costs, and others within a reasonable computational time.

  4. Toward of a highly integrated probe for improving wireless network quality

    Science.gov (United States)

    Ding, Fei; Song, Aiguo; Wu, Zhenyang; Pan, Zhiwen; You, Xiaohu

    2016-10-01

    Quality of service and customer perception is the focus of the telecommunications industry. This paper proposes a low-cost approach to the acquisition of terminal data, collected from LTE networks with the application of a soft probe, based on the Java language. The soft probe includes support for fast call in the form of a referenced library, and can be integrated into various Android-based applications to automatically monitor any exception event in the network. Soft probe-based acquisition of terminal data has the advantages of low cost and can be applied on large scale. Experiment shows that a soft probe can efficiently obtain terminal network data. With this method, the quality of service of LTE networks can be determined from acquired wireless data. This work contributes to efficient network optimization, and the analysis of abnormal network events.

  5. Challenges for Quality of Service (QoS in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    RAJSHREE S. DUBEY,

    2010-12-01

    Full Text Available A wireless sensor network is a special network with large numbers of nodes consisting embedded processors, sensors, and radios. These nodes cooperate to achieve a common goal or perform a common task such as environment monitoring or asset tracking. A lot of research has been done in the area of routing techniques and power consumption in sensor network but real-time communication with the Quality of Service (QoS concept in wireless sensor networks is still unexplored. Most protocols either ignore real time or simply attempt to process as fast as possible. QoS in wireless sensor networks can be characterized by reliability, timeliness, robustness, vailability, and security between all others. Recently, the design of sensor networks has become very important, due to several civil and military applications. Emerging sensor applications include habitat monitoring, pollution detection, weather forecasting, and monitoring disasters such as earthquakes, fires, and floods. In these new areas, similar to normal IP networks, there is real-time and non-real-timetraffic in the sensor networks. Each type of traffic requires a different treatment from the network to meet the objective QoS (Quality of Service. Queuing and scheduling have a direct impact on QoS characteristics. Many excellent protocols have already been developed for ad-hoc networks but providing QoS guarantees for real time traffic in sensor networks are still very immature.

  6. Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale

    CERN Document Server

    Emmons, Scott; Gallant, Mike; Börner, Katy

    2016-01-01

    Notions of community quality underlie network clustering. While studies surrounding network clustering are increasingly common, a precise understanding of the realtionship between different cluster quality metrics is unknown. In this paper, we examine the relationship between stand-alone cluster quality metrics and information recovery metrics through a rigorous analysis of four widely-used network clustering algorithms -- Blondel, Infomap, label propagation, and smart local moving. We consider the stand-alone quality metrics of modularity, conductance, and coverage, and we consider the information recovery metrics of adjusted Rand score, normalized mutual information, and a variant of normalized mutual information used in previous work. Our study includes both synthetic graphs and empirical data sets of sizes varying from 1,000 to 1,000,000 nodes. We find significant differences among the results of the different cluster quality metrics. For example, clustering algorithms can return a value of 0.4 out of 1 o...

  7. Air Quality Measures on the National Environmental Health Tracking Network

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Environmental Protection Agency (EPA) provides air pollution data about ozone and particulate matter (PM2.5) to CDC for the Tracking Network. The EPA maintains a...

  8. Quality of service policy control in virtual private networks

    Science.gov (United States)

    Yu, Yiqing; Wang, Hongbin; Zhou, Zhi; Zhou, Dongru

    2004-04-01

    This paper studies the QoS of VPN in an environment where the public network prices connection-oriented services based on source, destination and grade of service, and advertises these prices to its VPN customers (users). As different QoS technologies can produce different QoS, there are according different traffic classification rules and priority rules. The internet service provider (ISP) may need to build complex mechanisms separately for each node. In order to reduce the burden of network configuration, we need to design policy control technologies. We considers mainly directory server, policy server, policy manager and policy enforcers. Policy decision point (PDP) decide its control according to policy rules. In network, policy enforce point (PEP) decide its network controlled unit. For InterServ and DiffServ, we will adopt different policy control methods as following: (1) In InterServ, traffic uses resource reservation protocol (RSVP) to guarantee the network resource. (2) In DiffServ, policy server controls the DiffServ code points and per hop behavior (PHB), its PDP distributes information to each network node. Policy server will function as following: information searching; decision mechanism; decision delivering; auto-configuration. In order to prove the effectiveness of QoS policy control, we make the corrective simulation.

  9. Evaluacion sensorial de arroz (Oryza sativa) variedad Azucena en la Region Autonoma del Atlantico Norte en Nicaragua

    National Research Council Canada - National Science Library

    Garcia Montecinos, Karina Leticia; Carrillo Centeno, Patricia Mercedes; Godoy Godoy, Jose Alberto; Pachon, Helena

    2011-01-01

    .... Materiales y metodos: la evaluacion sensorial del arroz Azucena versus una variedad de consumo local, se realizo en cinco comunidades de la Region Autonoma del Atlantico Norte en Nicaragua, mediante la aplicacion de dos...

  10. Evaluacion del impacto del aprendizaje basado en proyectos en cursos de ingenieria utilizando analisis de correspondencias multiples

    National Research Council Canada - National Science Library

    Fernandez-Samaca, Liliana; Ramirez, Jose M; Vasquez, Jesus E

    2013-01-01

    Este articulo presenta una experiencia sobre la evaluacion del impacto del aprendizaje basado en proyectos en cursos de ingenieria mediante el uso de analisis de correspondencias multiples y agrupacion jerarquica...

  11. Test gestaltico visomotor de bender modificado y test de caras: una evaluacion de la validez de constructo

    National Research Council Canada - National Science Library

    Merino Soto, Cesar

    2011-01-01

    La investigacion con las nuevas versiones del Test Gestaltico de Bender (TGB) apenas ha llamado la atencion en el mundo hispano, considerando que esta prueba es una de las mas utilizadas en la evaluacion psicologica...

  12. Analisis y resultados de un modelo de evaluacion, apoyo y mejora de proyectos empresariales impulsados por jovenes emprendedores

    National Research Council Canada - National Science Library

    Revuelto Taboada, Lorenzo; Fernandez Guerrero, Rafael

    2009-01-01

    .... Este trabajo tiene como objetivo avanzar en la mejora de los sistemas de evaluacion de programas de ayuda a emprendedores y mostrar como las mejoras introducidas pueden tener efectos sobre la calidad...

  13. Quality Assessment in River Network Generalisation by Preserving the Drainage Pattern

    Science.gov (United States)

    Zhang, L.; Guilbert, E.

    2013-05-01

    The drainage pattern of a river network is the arrangement in which a stream erodes the channels of its network of tributaries. It can reflect the geographical characteristics of a river network to a certain extent, because it depends on the topography and geology of the land. Whether in cartography or GIS, hydrography is one of the most important feature classes to generalise in order to produce representations at various levels of detail. Cartographic generalisation is an intricate process whereby information is selected and represented on a map at a certain scale, not necessarily preserving all geographical or other cartographic details. There are many methods for river network generalisation, but the generalized results are always inspected by expert cartographers visually. This paper proposes a method that evaluates the quality of a river network generalisation by assessing if drainage patterns are preserved. This method provides a quantitative value that estimates the membership of a river network in different drainage patterns. A set of geometric indicators describing each pattern are presented and the membership of a network is defined based on fuzzy logic. For each pattern, the fuzzy set membership is given by a defined IF-THEN rule composed of several indicators and logical operators. Assessing the quality of a generalisation is done by comparing and analysing the value before and after the network generalisation. This assessment method is tested with several river network generalisation methods on different sets of networks and results are analysed and discussed.

  14. Quantity is nothing without quality: automated QA/QC for streaming sensor networks

    Science.gov (United States)

    John L. Campbell; Lindsey E. Rustad; John H. Porter; Jeffrey R. Taylor; Ethan W. Dereszynski; James B. Shanley; Corinna Gries; Donald L. Henshaw; Mary E. Martin; Wade. M. Sheldon; Emery R. Boose

    2013-01-01

    Sensor networks are revolutionizing environmental monitoring by producing massive quantities of data that are being made publically available in near real time. These data streams pose a challenge for ecologists because traditional approaches to quality assurance and quality control are no longer practical when confronted with the size of these data sets and the...

  15. Importance of demand modelling in network water quality models: a review

    NARCIS (Netherlands)

    Blokker, E.J.M.; Vreeburg, J.H.G.; Buchberger, S.G.; Van Dijk, J.C.

    2008-01-01

    Today, there is a growing interest in network water quality modelling. The water quality issues of interest relate to both dissolved and particulate substances. For dissolved substances the main interest is in residual chlorine and (microbiological) contaminant propagation; for particulate substance

  16. Importance of demand modelling in network water quality models: a review

    NARCIS (Netherlands)

    Blokker, E.J.M.; Vreeburg, J.H.G.; Buchberger, S.G.; Van Dijk, J.C.

    2008-01-01

    Today, there is a growing interest in network water quality modelling. The water quality issues of interest relate to both dissolved and particulate substances. For dissolved substances the main interest is in residual chlorine and (microbiological) contaminant propagation; for particulate substance

  17. Leveraging network connectivity for quality assurance of clinical display monitors.

    Science.gov (United States)

    Gersten, Jennifer

    2012-01-01

    The VA Midwest Health Care Network, VISN 23, is one of 21 veteran integrated health service networks (VISN) under the Department of Veterans Affairs. There are approximately 300,000 imaging studies generated per year and currently more than 14,000 picture archiving and communication system (PACS) users in VISN 23. Biomedical Engineering Services within VISN 23 coordinates the provision of medical technology support. One emerging technology leverages network connectivity as a method of calibrating and continuously monitoring clinical display monitors in support of PACS. Utilizing a continuous calibration monitoring system, clinical displays can be identified as out of Digital Imaging and Communications in Medicine (DICOM) compliance through a centralized server. The technical group can receive immediate notification via e-mail and respond proactively. Previously, this problem could go unnoticed until the next scheduled preventive maintenance was performed. This system utilizes simple network management protocols (SNMP) and simple mail transfer protocols (SMTP) across a wide area network for real-time alerts from a centralized location. This central server supports and monitors approximately 320 clinical displays deployed across five states. Over the past three years of implementation in VISN 23, the remote calibration and monitoring capability has allowed for more efficient support of clinical displays and has enhanced patient safety by ensuring a consistent display of images on these clinical displays.

  18. Identification of a supplier network through Quality Function Deployment

    DEFF Research Database (Denmark)

    Kristensen, Preben Sander; Holmen, Elsebeth

    1994-01-01

    During 1993-94 the authors followed a product development process in a Danish Butter Cookie company. The process was structured according to the Quality Function Deployment technique House of Quality. Customer attributes were derived from a discus a diabetics end-user focus group. During a series...

  19. Quality of Service in Bluetooth networking - part I

    NARCIS (Netherlands)

    Heijenk, Gerhard J.; van der Zee, Martin

    The Quality of Service functions and procedures included in the Bluetooth 1.0 specification have been reviewed. Next issues associated with providing Quality of Service over a wireless link in general and Bluetooth in particular have been investigated. Allthough the Bluetooth 1.0 specification

  20. Quality of Service in Bluetooth networking - part I

    NARCIS (Netherlands)

    Zee, van der Martin; Heijenk, Geert

    2001-01-01

    The Quality of Service functions and procedures included in the Bluetooth 1.0 specification have been reviewed. Next issues associated with providing Quality of Service over a wireless link in general and Bluetooth in particular have been investigated. Allthough the Bluetooth 1.0 specification provi

  1. An Efficient Quality of Service Based Routing Protocol for Mobile Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    Tapan Kumar Godder

    2011-05-01

    Full Text Available Ad-hoc network is set up with multiple wireless devices without any infrastructure. Its employment is favored in many environments. Quality of Service (QoS is one of the main issues for any network and due to bandwidth constraint and dynamic topology of mobile ad hoc networks, supporting Quality of Service (QoS is extremely a challenging task. It is modeled as a multi-layer problem and is considered in both Medium Access Control (MAC and routing layers for ad hoc networks. Ad-hoc On-demand Distance Vector (AODV routing protocol is one of the most used and popular reactive routing protocols in ad-hoc networks. This paper proposed a new protocol QoS based AODV (QAODV which is a modified version of AODV.

  2. Link-Quality Measurement and Reporting in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Byoungjo Choi

    2013-03-01

    Full Text Available Wireless Sensor networks (WSNs are created by small hardware devices that possess the necessary functionalities to measure and exchange a variety of environmental data in their deployment setting. In this paper, we discuss the experiments in deploying a testbed as a first step towards creating a fully functional heterogeneous wireless network-based underground monitoring system. The system is mainly composed of mobile and static ZigBee nodes, which are deployed on the underground mine galleries for measuring ambient temperature. In addition, we describe the measured results of link characteristics such as received signal strength, latency and throughput for different scenarios.

  3. Application of water quality indices and analysis of the surface water quality monitoring network in semiarid North-Central Chile.

    Science.gov (United States)

    Espejo, Lesly; Kretschmer, Nicole; Oyarzún, Jorge; Meza, Francisco; Núñez, Jorge; Maturana, Hugo; Soto, Guido; Oyarzo, Paula; Garrido, Marcela; Suckel, Felipe; Amezaga, Jaime; Oyarzún, Ricardo

    2012-09-01

    Surface water quality has increasing importance worldwide and is particularly relevant in the semiarid North-Central Chile, where agriculture and mining activities are imposing heavy pressure on limited water resources. The current study presents the application of a water quality index in four watersheds of the 29°-33°S realm for the period 1999-2008, based on the Canadian Council of Ministers for the Environment approach and the Chilean regulation for irrigation water quality. In addition, two modifications to the index are tested and a comprehensive characterization of the existing monitoring network is performed through cluster analysis. The basins studied show fairly good water quality in the overall, specially the Limarí basin. On the other hand, the lower index values were obtained for the headwaters of Elqui, associated with the El Indio mining district. The first modification of the indicator (i.e., to consider parameters differentially according to their effect on human health or the environment) did not produce major differences with respect to the original index, given the generally good water quality. The second modification (i.e., to consider as threshold values the more restrictive figures derived from a set of regulations) yielded important differences in the indicator values. Finally, an adequate characterization of the monitoring network was obtained. The results presented spatial coherence and the information can be used as a basis for the optimization of the monitoring network if required.

  4. Importance of demand modelling in network water quality models: a review

    Directory of Open Access Journals (Sweden)

    J. C. van Dijk

    2008-09-01

    Full Text Available Today, there is a growing interest in network water quality modelling. The water quality issues of interest relate to both dissolved and particulate substances. For dissolved substances the main interest is in residual chlorine and (microbiological contaminant propagation; for particulate substances it is in sediment leading to discolouration. There is a strong influence of flows and velocities on transport, mixing, production and decay of these substances in the network. This imposes a different approach to demand modelling which is reviewed in this article.

    For the large diameter lines that comprise the transport portion of a typical municipal pipe system, a skeletonised network model with a top-down approach of demand pattern allocation, a hydraulic time step of 1 h, and a pure advection-reaction water quality model will usually suffice. For the smaller diameter lines that comprise the distribution portion of a municipal pipe system, an all-pipes network model with a bottom-up approach of demand pattern allocation, a hydraulic time step of 1 min or less, and a water quality model that considers dispersion and transients may be needed.

    Demand models that provide stochastic residential demands per individual home and on a one-second time scale are available. A stochastic demands based network water quality model needs to be developed and validated with field measurements. Such a model will be probabilistic in nature and will offer a new perspective for assessing water quality in the drinking water distribution system.

  5. Delivering Diagnostic Quality Video over Mobile Wireless Networks for Telemedicine

    Directory of Open Access Journals (Sweden)

    Sira P. Rao

    2009-01-01

    Full Text Available In real-time remote diagnosis of emergency medical events, mobility can be enabled by wireless video communications. However, clinical use of this potential advance will depend on definitive and compelling demonstrations of the reliability of diagnostic quality video. Because the medical domain has its own fidelity criteria, it is important to incorporate diagnostic video quality criteria into any video compression system design. To this end, we used flexible algorithms for region-of-interest (ROI video compression and obtained feedback from medical experts to develop criteria for diagnostically lossless (DL quality. The design of the system occurred in three steps-measurement of bit rate at which DL quality is achieved through evaluation of videos by medical experts, incorporation of that information into a flexible video encoder through the notion of encoder states, and an encoder state update option based on a built-in quality criterion. Medical experts then evaluated our system for the diagnostic quality of the video, allowing us to verify that it is possible to realize DL quality in the ROI at practical communication data transfer rates, enabling mobile medical assessment over bit-rate limited wireless channels. This work lays the scientific foundation for additional validation through prototyped technology, field testing, and clinical trials.

  6. Effects of Social Networks on the Quality of Life in an Elder and Middle-Aged Deaf Community Sample

    Science.gov (United States)

    Gerich, Joachim; Fellinger, Johannes

    2012-01-01

    This article endeavors to investigate the role of social networks in contributing to the quality of life of an elder and middle-aged Deaf population. In particular, it poses the question of whether a certain network composition (deaf and hearing network persons) provides positive resources to improve quality of life and attempts to identify…

  7. User satisfaction-based quality evaluation model and survey analysis of network information service

    Institute of Scientific and Technical Information of China (English)

    LEI; Xue; JIAO; Yuying

    2009-01-01

    On the basis of user satisfaction,authors made research hypotheses by learning from relevant e-service quality evaluation models.A questionnaire survey was then conducted on some content-based websites in terms of their convenience,information quality,personalization and site aesthetics,which may affect the overall satisfaction of users.Statistical analysis was also made to build a user satisfaction-based quality evaluation system of network information service.

  8. Quality-Aware Resource Management for Wireless Sensor Networks

    NARCIS (Netherlands)

    Gemesi, R.; Meratnia, Nirvana; Havinga, Paul J.M.; Anderson, J.H.; Prencipe, G.; Wattenhoffer, R.

    2005-01-01

    Due to the distributed and resource constrained nature of wireless sensor networks, their design proves to be difficult. We present a resource management framework, which integrates a data-centric lightweight operating system with a publish/subscribe middleware. In this framework, the main system

  9. Flow-based Networking and Quality of Service

    NARCIS (Netherlands)

    Kleiberg, T.J.

    2009-01-01

    During the past two decades the Internet has been widely deployed and integrated into the society, radically altering the way people communicate and exchange information. Although the Internet was intended as a research network between few a institutions in the United States, it has grown to take a

  10. Method of Automated Dynamic Assessment of reading literacy for Secondary Education (EdilLEC)/'Metodo de evaluacion dinamica automatizado' de competencias lectoras para educacion secundaria (EdiLEC)

    National Research Council Canada - National Science Library

    Perez, Ramiro Gilabert; Lloria, Amelia Mana; Pelluch, Laura Gil; Tatay, Ana C. Llorens; Clemente, Vicenta Avila; Gamez, Eduardo Vidal-Abarca

    2016-01-01

    .... Keywords reading literacy; PISA; dynamic assessment; Secondary Education Se presenta un nuevo metodo de evaluacion dinamica de la competencia lectora automatizado para educacion secundaria (EdiLEC...

  11. Content-Based Video Quality Prediction for MPEG4 Video Streaming over Wireless Networks

    Directory of Open Access Journals (Sweden)

    Asiya Khan

    2009-08-01

    Full Text Available There are many parameters that affect video quality but their combined effect is not well identified and understood when video is transmitted over mobile/ wireless networks. In addition, video content has an impact on video quality under same network conditions. The main aim of this paper is the prediction of video quality combining the application and network level parameters for all content types. Firstly, video sequences are classified into groups representing different content types using cluster analysis. The classification of contents is based on the temporal (movement and spatial (edges, brightness feature extraction. Second, to study and analyze the behaviour of video quality for wide range variations of a set of selected parameters. Finally, to develop two learning models based on – (1 ANFIS to estimate the visual perceptual quality in terms of the Mean Opinion Score (MOS and decodable frame rate (Q value and (2 regression modeling to estimate the visual perceptual quality in terms of the MOS. We trained three ANFIS-based ANNs and regression based- models for the three distinct content types using a combination of network and application level parameters and tested the two models using unseen dataset. We confirmed that the video quality is more sensitive to network level compared to application level parameters. Preliminary results show that a good prediction accuracy was obtained from both models. However, the regression based model performed better in terms of the correlation coefficient and the root mean squared error. The work should help in the development of a reference-free video prediction model and Quality of Service (QoS control methods for video over wireless/mobile networks.

  12. Two-Phase Flow Evaluation in Geothermal Pipelines; Evaluacion de flujos bifasicos en tuberias geotermicas

    Energy Technology Data Exchange (ETDEWEB)

    Del Rio Garcia, Luis [Gerencia de Proyectos Geotermoelectricos de la Comision Federal de Electricidad, Morelia (Mexico)

    1996-01-01

    Pipe transportation of two phase-flow is a common practice in Mexican geothermal fields under commercial exploitation. Steam is separated from water using a centrifugal separator installed nearby a power plant. Afterwards, steam is conduced to the turbine and the water is reinjected into the reservoir. Sometimes the separation equipment are shared by two or more two-phase producing wells, so that the individual mass flow rate of each well is unknown. This paper is concerned with the evaluation of two-phase mass flow rates through sharp edged orifice plates, and attempts to establish the limits of steam quality in order that Murdock`s correlation gives acceptable results. This correlation was experimentally applied to well Az-25 of Los Azufres Geothermal field. In this case the single phase flows were determined after its separation by standard orifice plates (steam) and the weir box method. The results show that the Murdock`s correlation can be used for steam qualities of 50% and higher. [Espanol] El transporte de flujos bifasicos a traves de tuberias es una practica comun en los campos geotermicos mexicanos en la etapa de explotacion comercial. El vapor se separa del agua usando separadores centrifugos instalados en la vecindad de las unidades turbogeneradoras. Despues de esto, el vapor se conduce a las turbinas y el agua es reinyectada al yacimiento. En ocasiones, los equipos de separacion son compartidos por dos o mas pozos que producen flujos en dos fases, por lo que normalmente se desconocen tanto el gasto masico como la evolucion de la produccion de cada pozo. En este trabajo se propone una tecnica util en la evaluacion de flujos bifasicos, empleando placas orificio a partir de la correlacion de Murdock y se establece el intervalo de humedad para el cual el metodo proporciona resultados confiables. El metodo de Murdock fue aplicado experimentalmente al pozo Az-25 del campo geotermico de Los Azufres, para calidades de vapor entre 25 y 50%. En este caso los

  13. Ranking factors affecting the quality of banking services using analytic network process

    Directory of Open Access Journals (Sweden)

    Hooman Pourmohammad

    2016-06-01

    Full Text Available This paper seeks to identify the priority of factors affecting the quality of banking services in Bank Saderat Iran for better allocation of resources to enhance the quality of its banking services. The study develops a fuzzy method to handle uncertainty associated with the data and using analytical network process (ANP ranks different factors influencing on service quality. The results have indicated that the quality of e-services (ESQ is the most important factor followed by the quality of banking services agility (ASQ, the service system quality (SSQ, and the behavioral service qualities (BSQ. Moreover, the employees’ competence and skills, the reliability of the electronic system and the reliability of the service system, an impeccability banking system integrity and accountability instruments are among other effective factors influencing on the quality of banking services.

  14. Development and comparison of neural network based soft sensors for online estimation of cement clinker quality.

    Science.gov (United States)

    Pani, Ajaya Kumar; Vadlamudi, Vamsi Krishna; Mohanta, Hare Krishna

    2013-01-01

    The online estimation of process outputs mostly related to quality, as opposed to their belated measurement by means of hardware measuring devices and laboratory analysis, represents the most valuable feature of soft sensors. As of now there have been very few attempts for soft sensing of cement clinker quality which is mostly done by offline laboratory analysis resulting at times in low quality clinker. In the present work three different neural network based soft sensors have been developed for online estimation of cement clinker properties. Different input and output data for a rotary cement kiln were collected from a cement plant producing 10,000 tons of clinker per day. The raw data were pre-processed to remove the outliers and the resulting missing data were imputed. The processed data were then used to develop a back propagation neural network model, a radial basis network model and a regression network model to estimate the clinker quality online. A comparison of the estimation capabilities of the three models has been done by simulation of the developed models. It was observed that radial basis network model produced better estimation capabilities than the back propagation and regression network models.

  15. Design of water quality monitoring networks with two information scenarios in tropical Andean basins.

    Science.gov (United States)

    Bastidas, Juan Carlos; Vélez, Jorge Julián; Zambrano, Jeannette; Londoño, Adela

    2017-04-21

    Design and redesign of water quality monitoring networks were evaluated for two similarly sized watersheds in the tropical Andes via optimization techniques using geographic information system technology (GIS) and a matter-element analysis of 5-day biological oxygen demand (BOD5) and total suspended solids (TSS). This resulted in a flexible, objectively based design for a 1128-km(2) watershed without prior water quality data (La Miel River), and a network redesign of a 1052-km(2) watershed with historical water quality monitoring (Chinchiná River). Monitoring design for the undocumented basin incorporated mathematical expressions for physical, anthropological, and historical factors-and was based on clear objectives for diagnosis and intervention of water pollution. Network redesign identified network redundancy, which resulted in a 64% reduction in the number of water quality monitoring stations along the channel, and a 78% reduction of stations throughout the basin. Most tropical drainage basins throughout the world have little to no prior water quality data. But even in well-studied drainage basins like the Chinchiná River, which is among the most thoroughly studied basins in Colombia, redesign of historical and existing monitoring networks will become a standard tool to advance the restoration of polluted surface waters, not only in Colombia, but also throughout the world.

  16. Quality of local control for simple sewer networks

    Science.gov (United States)

    Kolechkina, Alla; van Nooijen, Ronald

    2016-04-01

    Combined sewer networks, where both foul water and storm water are transported through the same system, tend to develop into complex networks due to expansion of towns and villages. The transport capacity of these systems is always limited, so occasional controlled spills into surface water, combined sewer overflows (CSO), are part of the normal operating procedure. Occasionally the ideas and rules present in the original design are not respected when the system is extended to cover a larger area. One way to deal with this problem is to implement central control. Another is to add pipes and hardware to bring the extended system into line with the original rules and ideas. We show that for a design rule often followed in the Netherlands, local control does quite well as long as the rule is respected and there are no large variations in precipitation intensity over the area covered by the system.

  17. QMeter Tools for Quality Measurement in Telecommunication Network

    Directory of Open Access Journals (Sweden)

    Akram Aburas

    2011-08-01

    Full Text Available Call Quality is prevalent and widely used by carriers that transport the calls of telecom operators. Butfrom end-users perspective call quality has been not taken very seriously until now and this is the reasonfor surge in GSM gateways which resulted in interconnect revenue loss and more importantly the callquality. This particular research developed as QMeter® is focussed to address and derive the callquality parameters from end-users perspective. The call parameters used in our research are SignalStrength, the successful call rate, normal drop call rate, handover drop rate. An attempt to visualizethose parameters for better understanding of where the quality is bad with respect to various parametersproposed and implemented. To address the issues of quality in subscriber segment and satisfy its demandfor quality of services, an alternative solution proposing the varying tariff based on call and bandwidthquality parameter is proposed. Call statistics for the bundles of ten calls and ten data sessions isproposed to better address the tariff redemption procedures. The proposed methods of qualitymeasurement has been compared and correlated with subjective scores for hundreds of calls and theresults show that our results are 85% on an average in correlation with subjective scores.

  18. The social network among the elderly and its relationship with quality of life.

    Science.gov (United States)

    Bahramnezhad, Fatemeh; Chalik, Raheleh; Bastani, Farideh; Taherpour, Masoumeh; Navab, Elham

    2017-05-01

    Attention to the needs of the elderly is a social necessity, and it seems that evaluating the social network and quality of life of the elderly can be useful in a better understanding of their needs. This study was performed to determine the relationship between the social network and the quality of life of the elderly in the city of Bojnoord in Iran. In this cross-sectional study, 201 elderly people aged 60 years or more were selected by continuous and consecutive sampling method in Bojnoord, Iran in 2014. Data were collected using demographic questionnaire, Lubben social network scale and LEIPAD elderly quality of life questionnaire. Data were analyzed by SPSS 16 and using descriptive statistics and independent-samples t-test, ANOVA and Pearson product-moment coefficient. The results showed that 30.3% of elderly people studied, were subjected to a high risk of isolation. The highest mean in social network dimensions was in the family (19.68%), friends (12.01%) and the neighbors (9.90%), respectively. The mean score for quality of life of the elderly was as moderate to high (63.90±13.73), and among the quality of life dimensions, the highest mean was related to the self-care dimension (15.59%), and the lowest mean was related to the sexual functioning dimension (1.53%). The findings suggested a positive and significant relationship between social network and quality of life in the elderly who were studied (punderstanding the social network status and quality of life of the elderly. It is necessary to say that health care professionals, especially nurses, display a significant role in the community to help people in this regard.

  19. Fast techniques for the evaluation of reservoirs capacity; Metodos de evaluacion rapida de capacidad de yacimentos

    Energy Technology Data Exchange (ETDEWEB)

    Flores Armenta, Magaly del Carmen [Gerencia de Proyectos Geotermoelectricos de la Comision Federal de Electricidad, Morelia (Mexico)

    1995-05-01

    Fast techniques for the evaluation of geothermal reservoirs allow us to have an approach of its electrical potential. Based on the laws of conservation of mass and energy, considering infinite permeability, this paper presents techniques for fast reservoir evaluation. These techniques let us calculate in a very practical way, the electric power that can be obtained from a geothermal field. These techniques can be an important tool to solve practical problems, and are useful during the preliminary development of geothermal sources. [Espanol] Los metodos de evaluacion rapida de yacimientos permiten estimar de manera aproximada la potencia electrica maxima y minima de los mismos. Se presentan tecnicas de evaluacion basadas en las leyes de conservacion de masa y energia, considerando permeabilidad infinita. Las tecnicas utilizadas pueden ser una herramienta importante para la solucion de problemas practicos y para la toma de decisiones en etapas de prefactibilidad.

  20. Identifying uncertainty of the mean of some water quality variables along water quality monitoring network of Bahr El Baqar drain

    Directory of Open Access Journals (Sweden)

    Hussein G. Karaman

    2013-10-01

    Full Text Available Assigning objectives to the environmental monitoring network is the pillar of the design to these kinds of networks. Conflicting network objectives may affect the adequacy of the design in terms of sampling frequency and the spatial distribution of the monitoring stations which in turn affect the accuracy of the data and the information extracted. The first step in resolving this problem is to identify the uncertainty inherent in the network as the result of the vagueness of the design objective. Entropy has been utilized and adopted over the past decades to identify uncertainty in similar water data sets. Therefore it is used to identify the uncertainties inherent in the water quality monitoring network of Bahr El-Baqar drain located in the Eastern Delta. Toward investigating the applicability of the Entropy methodology, comprehensive analysis at the selected drain as well as their data sets is carried out. Furthermore, the uncertainty calculated by the entropy function will be presented by the means of the geographical information system to give the decision maker a global view to these uncertainties and to open the door to other researchers to find out innovative approaches to lower these uncertainties reaching optimal monitoring network in terms of the spatial distribution of the monitoring stations.

  1. Assessment of water quality in distribution networks through the lens ...

    African Journals Online (AJOL)

    2016-04-02

    Apr 2, 2016 ... method, which identifies the regions with relatively poor water quality and highlights the potential locations for ... intelligent decision-making based on the results and the imple- mentation of ... A water supply system where water is treated ...... Authors thankfully acknowledge the financial support of.

  2. Frequency and Quality of Social Networking Among Young Adults: Associations With Depressive Symptoms, Rumination, and Corumination.

    Science.gov (United States)

    Davila, Joanne; Hershenberg, Rachel; Feinstein, Brian A; Gorman, Kaitlyn; Bhatia, Vickie; Starr, Lisa R

    2012-04-01

    Two studies examined associations between social networking and depressive symptoms among youth. In Study 1, 384 participants (68% female; mean age = 20.22 years, SD = 2.90) were surveyed. In Study 2, 334 participants (62% female; M age = 19.44 years, SD = 2.05) were surveyed initially and 3 weeks later. Results indicated that depressive symptoms were associated with quality of social networking interactions, not quantity. There was some evidence that depressive rumination moderated associations, and both depressive rumination and corumination were associated with aspects of social networking usage and quality. Implications for understanding circumstances that increase social networking, as well as resulting negative interactions and negative affect are discussed.

  3. Using image quality metrics to identify adversarial imagery for deep learning networks

    Science.gov (United States)

    Harguess, Josh; Miclat, Jeremy; Raheema, Julian

    2017-05-01

    Deep learning has continued to gain momentum in applications across many critical areas of research in computer vision and machine learning. In particular, deep learning networks have had much success in image classification, especially when training data are abundantly available, as is the case with the ImageNet project. However, several researchers have exposed potential vulnerabilities of these networks to carefully crafted adversarial imagery. Additionally, researchers have shown the sensitivity of these networks to some types of noise and distortion. In this paper, we investigate the use of no-reference image quality metrics to identify adversarial imagery and images of poor quality that could potentially fool a deep learning network or dramatically reduce its accuracy. Results are shown on several adversarial image databases with comparisons to popular image classification databases.

  4. MULTICAST ROUTING WITH QUALITY OF SERVICE CONSTRAINTS IN THE AD HOC WIRELESS NETWORKS

    Directory of Open Access Journals (Sweden)

    Abdellah Idrissi

    2014-01-01

    Full Text Available The recent multimedia applications and services are very demanding in terms of Quality of Service (QoS. This creates new challenges in ensuring QoS when delivering those services over wireless networks. Motivated by the need of supporting high quality multicast applications in wireless ad hoc networks, we propose a network topology that can minimize the power when connecting the source node to the destination nodes in multicast sessions with the respect of the QoS provisions. We formulated the problem as integer linear programming problem with a set of energy and QoS constraints. We minimize the total power of energy used by nodes while satisfying QoS constraints (Bandwidth and maximum delay that are crucial to wireless ad hoc network performance.

  5. Water quality modeling for a tidal river network: A case study of the Suzhou River

    Institute of Scientific and Technical Information of China (English)

    Le FENG; Deguan WANG; Bin CHEN

    2011-01-01

    Combined with the basic characteristics of Suzhou plain river network,two modules are established,one of which is the hydrodynamic module using the water level node method involving gate operation,while the other is the water quality module based on the principle of WASP5 (water quality analysis simulation program5).These two modules were coupled and verified by the monitoring data of Suzhou River network.The results showed that calculation errors ofNH+4 -N and DO for the model were in the ranges of-15%-13% and -18%-16%,respectively.Despite of the deviations between the monitoring data and simulation result,the calculation accuracy of the model conforms to the practical engineering requirement.Therefore,the proposed coupling model may be useful for water quality simulation and assessment for river network under tidal influences.

  6. Water quality modeling for a tidal river network: A case study of the Suzhou River

    Science.gov (United States)

    Feng, Le; Wang, Deguan; Chen, Bin

    2011-12-01

    Combined with the basic characteristics of Suzhou plain river network, two modules are established, one of which is the hydrodynamic module using the water level node method involving gate operation, while the other is the water quality module based on the principle of WASP5 (water quality analysis simulation program5). These two modules were coupled and verified by the monitoring data of Suzhou River network. The results showed that calculation errors of NH{4/+}-N and DO for the model were in the ranges of -15%-13% and -18%-16%, respectively. Despite of the deviations between the monitoring data and simulation result, the calculation accuracy of the model conforms to the practical engineering requirement. Therefore, the proposed coupling model may be useful for water quality simulation and assessment for river network under tidal influences.

  7. RESEARCH ON HYDRODYNAMIC AND WATER QUALITY MODEL FOR TIDAL RIVER NETWORKS

    Institute of Scientific and Technical Information of China (English)

    Xu Zu-xin; Lu Shi-qiang

    2003-01-01

    Hydrodynamic and water quality model for tidal river network is set up with MIKE11 modeling system, according to the features of tidal river networks in plain area. The model was calibrated using the hydrological and water quality data of 1999, and the results show that the simulated values agree with the measured data very well. This model is used to numerically analyze the effects of low flow augmentation on hydrodynamic and water quality conditions of Suzhou Creek. The simulation results show that the flow augmentation can increase net discharge of Suzhou Creek and improve its ability of re-aeration; and its concentration of dissolved oxygen in the river networks can also increase correspondingly.

  8. The MAP3S Precipitation Chemistry Network: Data and quality control summary for 1986 and 1987

    Energy Technology Data Exchange (ETDEWEB)

    Dana, M.T.; Barchet, W.R.

    1989-05-01

    This report, the tenth in a series documenting results from the MAP3S Precipitation Chemistry Network, contains a statistical summary of daily precipitation chemistry data from the nine-site network in the eastern United States, both for the years 1986 and 1987 individually and for the period 1977 through 1987. In addition, external quality assurance results for 1986 and 1987 are summarized. 17 refs., 21 figs., 20 tabs.

  9. Abnormal quality detection and isolation in water distribution networks using simulation models

    Directory of Open Access Journals (Sweden)

    F. Nejjari

    2012-11-01

    Full Text Available This paper proposes a model based detection and localisation method to deal with abnormal quality levels based on the chlorine measurements and chlorine sensitivity analysis in a water distribution network. A fault isolation algorithm which correlates on line the residuals (generated by comparing the available chlorine measurements with their estimations using a model with the fault sensitivity matrix is used. The proposed methodology has been applied to a District Metered Area (DMA in the Barcelona network.

  10. Energy evaluation process of electric domestic refrigerators; Proceso de evaluacion energetica de refrigeradores electrodomesticos

    Energy Technology Data Exchange (ETDEWEB)

    Malacara Toral, Manuel; Ruiz Neblina, Joaquin [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

    1992-12-31

    A description is made of an energy evaluation study on electric domestic refrigerators carried out by the Instituto de Investigaciones Electricas (IIE), in its strategy for diminishing the energy consumption through the design enhancement, the manufacture, the operation and the standardization of the electric appliances. In order to initiate the evaluation-standardization process, the Mexican (NOM), the American (ANSI/AHAM) and the Canadian (CAN/CSA) standards were taken as a base to harmonize the procedures and the parameters of the tests. The energy assessment demonstrated that there are significant differences among the standards encompassed by the study, therefore, recommendations were made for the harmonization of the standards. [Espanol] Se describe un estudio de evaluacion energetica sobre refrigeradores electrodomesticos realizado en el Instituto de Investigaciones Electricas (IIE) dentro de la estrategia para disminuir los consumos de energia a traves de mejoras en el diseno, la manufactura, la operacion y la normalizacion de equipos electricos. Se tomo como base las normas mexicanas (NOM), americana (ANSI/AHAM) y canadiense (CAN/CSA) para iniciar el proceso de evaluacion-normalizacion a fin de armonizar los procedimientos y parametros de las pruebas. La evaluacion energetica demostro que existen diferencias significativas entre las normas que abarco el estudio por lo que se presentan recomendaciones para la armonizacion de las normas.

  11. QSWMCA - Quality of Service in Wireless Mesh Networks by Configuration Arguments

    Directory of Open Access Journals (Sweden)

    N.Kannaiya Raja

    2012-06-01

    Full Text Available In this paper, we present a Quality of Experience (QoE based upon the analyze the key Quality of Service (QoS parameters such as delay, jitter, throughput, packet loss, packet inspection in the mesh networks which executing the better approach for reconfiguration wireless mesh networks in the routing protocol. In this system evaluates the actual QoE level for each mesh node taking into an account to calculate QoS parameters and then this response as reducing the node broadcasting rate and investigating the problems of selecting in which links would be established that all nodes are connected for cost of constructions are minimized.

  12. Intelligent Packet Shaper to Avoid Network Congestion for Improved Streaming Video Quality at Clients

    DEFF Research Database (Denmark)

    Kaul, Manohar; Khosla, Rajiv; Mitsukura, Y

    2003-01-01

    This paper proposes a traffic shaping algorithm based on neural networks, which adapts to a network over which streaming video is being transmitted. The purpose of this intelligent shaper is to eradicate all traffic congestion and improve the end-user's video quality. It possesses the capability...... to predict, to a very high level of accuracy, a state of congestion based upon the training data collected about the network behaviour. Initially, the current traffic shaping technologies are discussed and later a simulation in a controlled environment is illustrated to exhibit the effects...... of this intelligent traffic-shaping algorithm on the underlying network real time packet traffic and the eradication of unwanted abruption in the streaming video qualiy. This paper concluded from the end results of the simulation that neural networks are a very superior means of modeling real-time traffic...

  13. Use of neural networks to improve quality control of interpretations in myocardial perfusion imaging

    DEFF Research Database (Denmark)

    Tagil, K.; Marving, J.; Lomsky, M.

    2008-01-01

    ). METHODS: Reversible perfusion defects (ischaemia) in each of five myocardial regions, as interpreted by one experienced nuclear medicine physician during his daily routine of clinical reporting, were assessed by artificial neural networks in 316 consecutive patients undergoing stress/rest 99m...... cases. Forty-six of the 53 cases (87%) came from the group selected by the neural networks, and only seven (13%) were control cases (P medicine expert and artificial networks were related to small and mild......BACKGROUND: The aim of this study was to explore the feasibility of using a technique based on artificial neural networks for quality assurance of image reporting. The networks were used to identify potentially suboptimal or erroneous interpretations of myocardial perfusion scintigrams (MPS...

  14. MapReduce Based Parallel Bayesian Network for Manufacturing Quality Control

    Science.gov (United States)

    Zheng, Mao-Kuan; Ming, Xin-Guo; Zhang, Xian-Yu; Li, Guo-Ming

    2017-09-01

    Increasing complexity of industrial products and manufacturing processes have challenged conventional statistics based quality management approaches in the circumstances of dynamic production. A Bayesian network and big data analytics integrated approach for manufacturing process quality analysis and control is proposed. Based on Hadoop distributed architecture and MapReduce parallel computing model, big volume and variety quality related data generated during the manufacturing process could be dealt with. Artificial intelligent algorithms, including Bayesian network learning, classification and reasoning, are embedded into the Reduce process. Relying on the ability of the Bayesian network in dealing with dynamic and uncertain problem and the parallel computing power of MapReduce, Bayesian network of impact factors on quality are built based on prior probability distribution and modified with posterior probability distribution. A case study on hull segment manufacturing precision management for ship and offshore platform building shows that computing speed accelerates almost directly proportionally to the increase of computing nodes. It is also proved that the proposed model is feasible for locating and reasoning of root causes, forecasting of manufacturing outcome, and intelligent decision for precision problem solving. The integration of bigdata analytics and BN method offers a whole new perspective in manufacturing quality control.

  15. Importance of demand modelling in network water quality models: a review

    Directory of Open Access Journals (Sweden)

    J. C. van Dijk

    2008-01-01

    Full Text Available Today, there is a growing interest in network water quality modelling. The water quality issues of interest relate to both dissolved and particulate substances, with the main interest in residual chlorine and (microbiological contaminant propagation, respectively in sediment leading to discolouration. There is a strong influence of flows and velocities on transport, mixing, production and decay of these substances in the network. This imposes a different approach to demand modelling which is reviewed in this article.

    For transport systems the current hydraulic models suffice; for the more detailed distribution system a network water quality model is needed that is based on short time scale demands that considers the effect of dispersion and transients. Demand models that provide stochastic residential demands per individual home and on a one-second time scale are available. A stochastic demands based network water quality model needs to be developed and validated with field measurements. Such a model will be probabilistic in nature and will offer a new perspective for assessing water quality in the DWDS.

  16. Optimizing Quality of Service Evaluation in IEEE 802.15.4 Networks

    Directory of Open Access Journals (Sweden)

    Anitha A

    2012-11-01

    Full Text Available Wireless Sensor Networks (WSNs comprise of groups of tiny sensor nodes that are deployed for collaborative missions such as environmental monitoring, target tracking and surveillance. Due to the miniature size of the nodes, they are typically deployed in large numbers and communicate via multiple hops through a wireless shared communication channel. The successful implementation of such networks is dependent on the enabling technologies (such as digital electronics and wireless communications, as well as the provisioning of Quality of Service (QoS in the network. While there have been many efforts in QoS provisioning in traditional networks such as the Internet and Mobile Ad Hoc Networks (MANETs, these networks have very different characteristics from that of WSNs. Consequently, the QoS models and protocols that have been designed for the Internet and MANETs cannot be directly applied to WSNs. The performance evaluation of quality of service parameters for WSNs based on IEEE 802.15.4 star and mesh topology. The performances have evaluated for varying traffic loads using Mobile Adhoc Network (MANET routing protocol in QualNet 4.5. The total energy consumption is used for performance metrics.

  17. On-line Cutting Quality Recognition in Milling Using a Radical Basis Function Neural Network

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Tool wear, chatter vibration, chip breaking and built-up edge are main phenomena to be monitored in modern manufacturing processes, which are considered as important factors to the quality of products.They are closely related to the cutting parameters, which are to be selected in manufacturing process.However, it is very difficult to measure directly the cutting quality based on on-line monitoring.In this study, the relationship between the cutting parameters and cutting quality is analyzed.A Radical Basis Function (RBF) neural network based on-line quality recognition scheme is also presented, which monitors the level of surface roughness.The experimental results reveal that the RBF neural network has a high prediction success rate.

  18. An optimization approach to cycle quality network chain based on improved SCOR model

    Institute of Scientific and Technical Information of China (English)

    Renbin Xiao; Zhengying Cai; Xinhui Zhang

    2009-01-01

    Based on the improved supply chain operations reference (SCOR) model, a network-topology structure of cycle quality chain oper-ations reference (CQCOR) model is built up, which realizes the cycle operation by an added quality process of reverse manufacturing. The concept of cycle quality chain management is defined, and its cost structure is analyzed according to positive and reverse quality processes. If the quality level is controlled by the positive quality cost, then the reverse quality cost is a nonlinear function of quality level. All the quality processes are connected by acceptable probability, so the optimized objective function is described as a fuzzy multi-objective function comprising maximum of the total profit of quality chain, maximum of the recycling efficiency and maximum of environment protection and source saving. The effects of different quality policies on fuzzy rules are compared by a simplified example. When the policy of recycling efficiency dominates, the total quality profit will be less than that of maximum profit policy.

  19. Data analytics methodology for monitoring quality sensors and events in the Barcelona drinking water network

    OpenAIRE

    García Valverde, Diego; Creus Rodriguez, Ramon; Minoves Ruiz, Meritxell; Pardo, Xavier; Quevedo Casín, Joseba Jokin; Puig Cayuela, Vicenç

    2017-01-01

    Water quality management is a key area to guarantee drinking water safety to users. This task is based on disinfection techniques, such as chlorination, applied to the drinking water network to prevent the growth of microorganisms present in the water. The continuous monitoring of water quality parameters is fundamental to assess the sanitary conditions of the drinking water and to detect unexpected events. The whole process is based on the assumption that the information retrieved from quali...

  20. A Reaction-Based River/Stream Water Quality Model: Reaction Network Decomposition and Model Application

    OpenAIRE

    2012-01-01

    This paper describes details of an automatic matrix decomposition approach for a reaction-based stream water quality model. The method yields a set of equilibrium equations, a set of kinetic-variable transport equations involving kinetic reactions only, and a set of component transport equations involving no reactions. Partial decomposition of the system of water quality constituent transport equations is performed via Gauss-Jordan column reduction of the reaction network by pivoting on equil...

  1. Representaciones sociales sobre el proceso evaluacion desde la mirada de docentes de 1 ano basico en establecimientos municipalizados urbanos de la comuna de Quilpue

    National Research Council Canada - National Science Library

    Torres, Ana Maria

    2013-01-01

    .... Se identificaron factores emocionales de las docentes que favorecen el proceso evaluacion-logros de aprendizajes y otros que involucran riesgo de un desgaste profesional. Se constato que la decision de repitencia es tomada a partir de concepciones que van mas alla de los bajos logros de aprendizaje. Finalmente, se concluyen condiciones para mejorar procedimientos de evaluacion en 1 Ano Basico.

  2. DEVELOPMENT AND APPLICATION OF A EUTROPHICATION WATER QUALITY MODEL FOR RIVER NETWORKS

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The Preissmann implicit scheme was used to discretize the one-dimensional Saint-Venant equations, the river-junction-river method was applied to resolve the hydrodynamic and water quality model for river networks, and the key issues on the model were expatiated particularly in this article. This water quality module was designed to compute time dependent concentrations of a series of constituents, which are primarily governed by the processes of advection, dispersion and chemical reactions. Based on the theory of Water Quality Analysis Simulation Program (WASP) water quality model, emphasis was given to the simulation of the biogeochemical transformations that determine the fate of nutrients, in particular, the simulation of the aquatic cycles of nitrogen and phosphorus compounds. This model also includes procedures for the determination of growth and death of phytoplankton. This hydrodynamic and water quality model was applied to calculate two river networks. As illustrated by the numerical examples, the calculated water level and discharge agree with the measured data and the simulated trends and magnitudes of water quality constituents are generally in good agreement with field observations. It is concluded that the presented model is useful in the pollutant control and in the determination of pollutant-related problems for river networks.

  3. Methodology for evaluating the grounding system in electrical substations; Metodologia para la evaluacion del sistema de puesta a tierra en subestaciones electricas

    Energy Technology Data Exchange (ETDEWEB)

    Torrelles Rivas, L.F [Universidad Nacional Experimental Politecnica: Antonio Jose de Sucre (UNEXPO), Guayana, Bolivar (Venezuela)]. E-mail: torrellesluis@gmail.com; Alvarez, P. [Petroleos de Venezuela S.A (PDVSA), Maturin, Monagas (Venezuela)]. E-mail: alvarezph@pdvsa.com

    2013-03-15

    The present work proposes a methodology for evaluating grounding systems in electrical substations from medium and high voltage, in order to diagnose the state of the elements of the grounding system and the corresponding electrical variables. The assessment methodology developed includes a visual inspection phase to the elements of the substation. Then, by performing measurements and data analysis, the electrical continuity between the components of the substation and the mesh ground is verified, the soil resistivity and resistance of the mesh. Also included in the methodology the calculation of the step and touch voltage of the substation, based on the criteria of the International IEEE standards. We study the case of the 115 kV Pirital Substation belonging to PDVSA Oriente Transmission Network. [Spanish] En el presente trabajo se plantea una metodologia para la evaluacion de sistemas de puesta a tierra en subestaciones electricas de media y alta tension, con la finalidad de diagnosticar el estado de los elementos que conforman dicho sistema y las variables electricas correspondientes. La metodologia de evaluacion desarrollada incluye una fase de inspeccion visual de los elementos que conforman la subestacion. Luego, mediante la ejecucion de mediciones y analisis de datos, se verifica la continuidad electrica entre los componentes de la subestacion y la malla de puesta a tierra, la resistividad del suelo y resistencia de la malla. Se incluye tambien en la metodologia el calculo de las tensiones de paso y de toque de la subestacion, segun lo fundamentado en los criterios de los estandares Internacionales IEEE. Se estudia el caso de la Subestacion Pirital 115 kV perteneciente a la Red de Transmision de PDVSA Oriente.

  4. An OSPF based UMTS/WLAN Radio over Fiber Convergence Network for Enhanced Quality of Service

    Directory of Open Access Journals (Sweden)

    R Shankar

    2012-03-01

    Full Text Available Wireless community these days debate frequently about convergence (next generation network, a wireless system that is likely to appear after the successful deployment of the current third-generation (3G systems. Towards convergence of various wireless networks, the integration of universal mobile telecommunication system (UMTS and wireless local area network (WLAN plays a major role. Enhancing quality of service (QoS in an UMTS/WLAN convergence network is an important issue. This paper proposes radio over fiber (RoF based UMTS/WLAN convergence network using open shortest path first (OSPF protocol for enhanced QoS. In this paper, RoF based convergence network is analysed using routing information protocol (RIP, intermediate system-intermediate system (IS-IS protocol and OSPF protocol, using optimised network engineering tool (OPNET. The simulation results show that the proposed OSPF based convergence network outperforms in QoS compared to existing, RIP and IS-IS based approach.

  5. Fuzzy neural networks for arc welding quality control

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Fuzzy Logic Control (FLC) is a promising control strategy in welding process control due to its ability for solving control problem with uncertainty as well as its independence on the analytical mathematics model. However, in basic FLC, the fuzzy rule relies heavily on the experts' (e.g. advanced welders') experience. In addition to this, the membership function for fuzzy set is non-adaptive, i.e. it remains unchanged as long as they are determined by experience or other means. For welding process, which is time-variable systems and strong disturbance exists in it, fixed membership function may not guarantee the required system performance, and attempts should be made to improve the system performance by adopting adaptive membership function. Therefore, the automatically determination of the fuzzy rule and in-process adaptation of membership function are required for the advanced welding process control. This paper discussed the possibility by using the combination between FLC and neural network (NN) to realize the above propose. The adaptation of membership function as well as the self-organizing of fuzzy rule are realized by the self-learning and competitiveness of the NN. Taking GTAW process welds bead width regulating system as the controlled plant, the proposed algorithm was testified for such a process. Computer simulations showed the improvement of the system characteristics.

  6. Effects of the Wireless Channel, Signal Compression and Network Architecture on Speech Quality in Voip Networks

    Science.gov (United States)

    2007-06-01

    the connection. [11] With the advances of wireless communications and the increasing use of WiFi (Wireless Fidelity) and satellite networks, there...802.11, “Wireless LAN Medium Access Control (MAC) and Physical Layer Specifications,” ISO/IEC 802-11-1999, 1999. [38] S. McClure et al, Hacking

  7. Adolescent Problematic Social Networking and School Experiences: The Mediating Effects of Sleep Disruptions and Sleep Quality.

    Science.gov (United States)

    Vernon, Lynette; Barber, Bonnie L; Modecki, Kathryn L

    2015-07-01

    An important developmental task for adolescents is to become increasingly responsible for their own health behaviors. Establishing healthy sleep routines and controlling media use before bedtime are important for adequate, quality sleep so adolescents are alert during the day and perform well at school. Despite the prevalence of adolescent social media use and the large percentage of computers and cell phones in adolescents' bedrooms, no studies to date have investigated the link between problematic adolescent investment in social networking, their sleep practices, and associated experiences at school. A sample of 1,886 students in Australia aged between 12 and 18 years of age completed self-report data on problematic social networking use, sleep disturbances, sleep quality, and school satisfaction. Structural equation modeling (SEM) substantiated the serial mediation hypothesis: for adolescents, problematic social networking use significantly increased sleep disturbances, which adversely affected perceptions of sleep quality that, in turn, lowered adolescents' appraisals of their school satisfaction. This significant pattern was largely driven by the indirect effect of sleep disturbances. These findings suggest that adolescents are vulnerable to negative consequences from social networking use. Specifically, problematic social networking is associated with poor school experiences, which result from poor sleep habits. Promoting better sleep routines by minimizing sleep disturbances from social media use could improve school experiences for adolescents with enhanced emotional engagement and improved subjective well-being.

  8. Implementation and performance results of neural network for power quality event detection

    Science.gov (United States)

    Huang, Weijian; Tian, Wenzhi

    2008-10-01

    A novel method to detect power quality event in distributed power system combing wavelet network with the improved back-propagation algorithm is presented. The paper tries to explain to design complex supported orthogonal wavelets by compactly supported orthogonal real wavelets, and then explore the extraction of disturbance signal to obtain the feature information, and finally propose several novel wavelet combined information to analyze the disturbance signal, superior to real wavelet analysis result. The feature obtained from WT coefficients are inputted into wavelet network for power quality disturbance pattern recognition. The power quality disturbance recognition model is established and the improved back-propagation algorithm is used to fulfill the network parameter initialization. By means of choosing enough samples to train the recognition model, the type of disturbance can be obtained when signal representing fault is inputted to the trained network. The results of simulation analysis show that the complex wavelet transform combined with wavelet network are more sensitive to signal singularity, and found to be significant improvement over current methods in real-time detection.

  9. Analysis and evolution of air quality monitoring networks using combined statistical information indexes

    Directory of Open Access Journals (Sweden)

    Axel Osses

    2013-10-01

    Full Text Available In this work, we present combined statistical indexes for evaluating air quality monitoring networks based on concepts derived from the information theory and Kullback–Liebler divergence. More precisely, we introduce: (1 the standard measure of complementary mutual information or ‘specificity’ index; (2 a new measure of information gain or ‘representativity’ index; (3 the information gaps associated with the evolution of a network and (4 the normalised information distance used in clustering analysis. All these information concepts are illustrated by applying them to 14 yr of data collected by the air quality monitoring network in Santiago de Chile (33.5 S, 70.5 W, 500 m a.s.l.. We find that downtown stations, located in a relatively flat area of the Santiago basin, generally show high ‘representativity’ and low ‘specificity’, whereas the contrary is found for a station located in a canyon to the east of the basin, consistently with known emission and circulation patterns of Santiago. We also show interesting applications of information gain to the analysis of the evolution of a network, where the choice of background information is also discussed, and of mutual information distance to the classifications of stations. Our analyses show that information as those presented here should of course be used in a complementary way when addressing the analysis of an air quality network for planning and evaluation purposes.

  10. Detection and analysis of distribution power quality disturbance based on complex wavelet transform and RBF network

    Science.gov (United States)

    Liu, Lin; Shen, Songhua; Liu, Qiang

    2006-11-01

    A novel method to detect power quality disturbance of distribution power system combing complex wavelet transform (WT) with radial basis function (RBF) neural network is presented. The paper tries to explain to design complex supported orthogonal wavelets by Morlet compactly supported orthogonal real wavelets, and then explore the extraction of disturbance signal to obtain the feature information, and finally propose several novel wavelet combined information (CI) to analyze the disturbance signal, superior to real wavelet analysis result. The feature obtained from WT coefficients are inputted into RBF network for power quality disturbance pattern recognition. The power quality disturbance recognition model is established and the synthesized method of recursive orthogonal least squares algorithm (ROLSA) with improved Givens transform is used to fulfill the network structure and parameter identification. By means of choosing enough samples to train the recognition model, the type of disturbance can be obtained when signal representing fault is inputted to the trained network. The results of simulation analysis show that the complex WT combined with RBF network are more sensitive to signal singularity, and found to be significant improvement over current methods in real-time detection and better noise proof ability.

  11. High-Quality Ultra-Compact Grid Layout of Grouped Networks.

    Science.gov (United States)

    Yoghourdjian, Vahan; Dwyer, Tim; Gange, Graeme; Kieffer, Steve; Klein, Karsten; Marriott, Kim

    2016-01-01

    Prior research into network layout has focused on fast heuristic techniques for layout of large networks, or complex multi-stage pipelines for higher quality layout of small graphs. Improvements to these pipeline techniques, especially for orthogonal-style layout, are difficult and practical results have been slight in recent years. Yet, as discussed in this paper, there remain significant issues in the quality of the layouts produced by these techniques, even for quite small networks. This is especially true when layout with additional grouping constraints is required. The first contribution of this paper is to investigate an ultra-compact, grid-like network layout aesthetic that is motivated by the grid arrangements that are used almost universally by designers in typographical layout. Since the time when these heuristic and pipeline-based graph-layout methods were conceived, generic technologies (MIP, CP and SAT) for solving combinatorial and mixed-integer optimization problems have improved massively. The second contribution of this paper is to reassess whether these techniques can be used for high-quality layout of small graphs. While they are fast enough for graphs of up to 50 nodes we found these methods do not scale up. Our third contribution is a large-neighborhood search meta-heuristic approach that is scalable to larger networks.

  12. Social networks of people with mild intellectual disabilities: characteristics, satisfaction, wishes and quality of life.

    Science.gov (United States)

    van Asselt-Goverts, A E; Embregts, P J C M; Hendriks, A H C

    2015-05-01

    A supportive social network is crucial for facilitating social inclusion, which can, in turn, contribute to the quality of life (QOL) for people with intellectual disabilities (ID). In this study, we investigate how people with mild ID perceive their social networks and which network characteristics relate to satisfaction with the network and perceived QOL. Data were gathered from 33 young adults with a mild to borderline ID using structured questionnaires: the MSNA to map the social network, the IDQOL-16 to assess QOL, and a questionnaire to determine satisfaction and wishes with regard to the social network. The majority of the participants (73.1%) were satisfied with their social networks. Improvement in the area of strengthening existing ties (e.g. more frequent contact, better contact) was desired as opposed to expansion of the network. Affection--especially towards family and professionals--was most strongly related to perceived QOL. It appears to be essential that relatives live in the same town, can frequently meet up and provide both emotional and practical support. The significance of family and the importance of high-quality interpersonal relationships between professional and client in the lives of young adults with ID cannot be overestimated. Although measures of satisfaction and wishes can have limitations, in actual practice it is considered useful to assess the opinions of clients with respect to their social networks. Interventions can then be tailored to the needs and wishes of the persons themselves. © 2014 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.

  13. Quality of relationships and structural properties of social support networks of female survivors of abuse.

    Science.gov (United States)

    Fry, P S; Barker, L A

    2002-05-01

    The purposes of this study were to examine the structural properties of the social support networks of female survivors of violence and abuse and to investigate the quality of the relationship, and specific level of satisfaction, survivors have with their social support networks. Participants averaged 5.8 persons in their social support networks. Their levels of satisfaction with the emotional, practical, financial, guidance, and socializing support they received from members of their social support networks were higher with respect to close friends and coworkers than with respect to family members and professionals (e.g., attorneys and social workers). The most common type of support provided by close friends who were themselves victims of abuse was emotional, guidance, and socializing support, and the most satisfying support was the financial and practical help that came from parents or family. An interesting finding was the significant presence of men in the survivors' social support networks. Overall satisfaction with the quality of support from the social support networks was high, and satisfaction with support from men was comparable, if not higher, than support from women. Multiple regression models revealed that satisfaction with support networks was a potent predictor of self-esteem, emotional health, and loneliness. Intimacy, especially in terms of exclusiveness and trust or loyalty, with at least a few members of the support network contributed significantly to the variance in self-esteem, emotional health, and loneliness among the abused women. The size of the support network also emerged as a limited contributor to well-being. Implications and applications are discussed for professionals working with female survivors of abuse.

  14. National Stream Quality Accounting Network and National Monitoring Network Basin Boundary Geospatial Dataset, 2008-13

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset and the accompanying Data Series report was created to assist in analysis and interpretation of water-quality data provided by the U.S. Geological...

  15. Water Quality Modeling in the Dead End Sections of Drinking Water Distribution Networks -journal article

    Science.gov (United States)

    Dead-end sections of drinking water distribution networks are known to be problematic zones in terms of water quality degradation. Extended residence time due to water stagnation leads to rapid reduction of disinfectant residuals allowing the regrowth of microbial pathogens. Wate...

  16. Automatically assessing Wikipedia article quality by exploiting article-editor networks

    NARCIS (Netherlands)

    Li, X.; Tang, J.; Wang, T.; Luo, Z.; de Rijke, M.; Hanbury, A.; Kazai, G.; Rauber, A.; Fuhr, N.

    2015-01-01

    We consider the problem of automatically assessing Wikipedia article quality. We develop several models to rank articles by using the editing relations between articles and editors. First, we create a basic model by modeling the article-editor network. Then we design measures of an editor’s

  17. Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Noureddine Assad

    2015-01-01

    Full Text Available The intrusion detection application in a homogeneous wireless sensor network is defined as a mechanism to detect unauthorized intrusions or anomalous moving attackers in a field of interest. The quality of deterministic sensor nodes deployment can be determined sufficiently by a rigorous analysis before the deployment. However, when random deployment is required, determining the deployment quality becomes challenging. An area may require that multiple nodes monitor each point from the sensing area; this constraint is known as k-coverage where k is the number of nodes. The deployment quality of sensor nodes depends directly on node density and sensing range; mainly a random sensor nodes deployment is required. The major question is centred around the problem of network coverage, how can we guarantee that each point of the sensing area is covered by the required number of sensor nodes and what a sufficient condition to guarantee the network coverage? To deal with this, probabilistic intrusion detection models are adopted, called single/multi-sensing detection, and the deployment quality issue is surveyed and analysed in terms of coverage. We evaluate the capability of our probabilistic model in homogeneous wireless sensor network, in terms of sensing range, node density, and intrusion distance.

  18. Quality of Context Enhancements and Cost Effective Radio over Fiber Network Planning

    DEFF Research Database (Denmark)

    Shawky, Ahmed Sherif Mahmoud; Schwefel, Hans-Peter; Olsen, Rasmus Løvenstein;

    In Communication networks today there is an endless quest for increased capacity and improved quality. With wireless systems being now popular worldwide for allowing users and devices to communicate and share information with each other irrespective of their location, the development of sustainab...

  19. Quality-aware data gathering and disseminating in chain-based wireless sensor networks

    NARCIS (Netherlands)

    Taghikhaki, Zahra

    2015-01-01

    Wireless Sensor Networks (WSNs) are growing in popularity for various applications and a key factor for the proliferation of this revolutionary technology is designing effective protocols to meet the quality of service requirements of the application considering deployment properties and characteris

  20. Assessing the quality of teleconsultations in a store-and-forward telemedicine network

    Directory of Open Access Journals (Sweden)

    Richard eWootton

    2014-07-01

    Full Text Available Store and forward telemedicine in resource-limited settings is becoming a relatively mature activity. However, there are few published reports about quality measurement in telemedicine, except in image-based specialities, and they mainly relate to high- and middle-income countries. In 2010, Médecins Sans Frontières (MSF began to use a store-and-forward telemedicine network to assist its field staff in obtaining specialist advice. To date, more than 1000 cases have been managed with the support of telemedicine, from a total of 40 different countries. We propose a method for assessing the overall quality of the teleconsultations provided in a store-and-forward telemedicine network. The assessment is performed at regular intervals by a panel of observers, who -- independently -- respond to a questionnaire relating to a randomly-chosen past case. The answers to the questionnaire allow two different dimensions of quality to be assessed: the quality of the process itself and the outcome, defined as the value of the response to three of the four parties concerned, i.e. the patient, the referring doctor and the organisation. It is not practicable to estimate the value to society by this technique. The feasibility of the method was demonstrated by using it in the MSF telemedicine network, where process-quality scores, and user-value scores, appeared to be stable over a nine-month trial period. This was confirmed by plotting the cusum of a portmanteau statistic (the sum of the four scores over the study period. The proposed quality assessment method appears feasible in practice, and will form one element of a quality assurance programme for MSF's telemedicine network in future. The method is a generally applicable one, which can be used in many forms of medical interaction.

  1. Best Signal Quality in Cellular Networks: Asymptotic Properties and Applications to Mobility Management in Small Cell Networks

    Directory of Open Access Journals (Sweden)

    Baccelli François

    2010-01-01

    Full Text Available The quickly increasing data traffic and the user demand for a full coverage of mobile services anywhere and anytime are leading mobile networking into a future of small cell networks. However, due to the high-density and randomness of small cell networks, there are several technical challenges. In this paper, we investigate two critical issues: best signal quality and mobility management. Under the assumptions that base stations are uniformly distributed in a ring-shaped region and that shadowings are lognormal, independent, and identically distributed, we prove that when the number of sites in the ring tends to infinity, then (i the maximum signal strength received at the center of the ring tends in distribution to a Gumbel distribution when properly renormalized, and (ii it is asymptotically independent of the interference. Using these properties, we derive the distribution of the best signal quality. Furthermore, an optimized random cell scanning scheme is proposed, based on the evaluation of the optimal number of sites to be scanned for maximizing the user data throughput.

  2. Topological clustering as a tool for planning water quality monitoring in water distribution networks

    DEFF Research Database (Denmark)

    Kirstein, Jonas Kjeld; Albrechtsen, Hans-Jørgen; Rygaard, Martin

    2015-01-01

    Topological clustering was explored as a tool for water supply utilities in preparation of monitoring and contamination contingency plans. A complex water distribution network model of Copenhagen, Denmark, was simplified by topological clustering into recognizable water movement patterns to: (1......) identify steady clusters for a part of the network where an actual contamination has occurred; (2) analyze this event by the use of mesh diagrams; and (3) analyze the use of mesh diagrams as a decision support tool for planning water quality monitoring. Initially, the network model was divided...... into strongly and weakly connected clusters for selected time periods and mesh diagrams were used for analysing cluster connections in the Nørrebro district. Here, areas of particular interest for water quality monitoring were identified by including user-information about consumption rates and consumers...

  3. Role of monitoring network in the control management of air quality. An industrial case history

    Energy Technology Data Exchange (ETDEWEB)

    Zerbo, G. [Catania Univ. (Italy). Inst. of Merceology; Fabiano, B.; Ferraiolo, A.; Solisio, C.; Ruaro, R.

    1995-12-31

    Air quality control by a system of monitoring station is indispensable for the environmental protection. Moreover, a monitoring network have not to be only a mere data collection a good air quality control is possible only if the network management allows to prevent unacceptable pollutants level. In other terms, elaboration and interpretation data are fundamental in order to make monitoring system really able for regulations of corrective measures as, for example, the reduction of local emissions. The case of monitoring network run from the Industrial Society CIPA of Siracusa (Italy) is discussed. The management of the data obtained from a continuous survey allows to keep pollutants level below the current limits set down by the Italian law. Furthermore, elaboration of the data allows useful evaluations about atmospheric dispersion phenomena. (author)

  4. Management of Power Quality Issues in Low Voltage Networks using Electric Vehicles: Experimental Validation

    DEFF Research Database (Denmark)

    Martinenas, Sergejus; Knezovic, Katarina; Marinelli, Mattia

    2016-01-01

    As Electric Vehicles (EVs) are becoming more wide spread, their high power consumption presents challenges for the residential low voltage networks, especially when connected to long feeders with unevenly distributed loads. However, if intelligently integrated, EVs can also partially solve...... the existing and future power quality problems. One of the main aspects of the power quality relates to voltage quality. The aim of this work is to experimentally analyse whether series-produced EVs, adhering to contemporary standard and without relying on any V2G capability, can mitigate line voltage drops...

  5. A BOD-DO coupling model for water quality simulation by artificial neural network

    Institute of Scientific and Technical Information of China (English)

    郭劲松; LONG; Tengrui; 等

    2002-01-01

    A one-dimensional BOD-DO coupling model for water quality simulation is presented,which adopts Streeter-Phelps equations and the theory of back-propagation artificial neural network.The water quality data of Yangtze River in the Chongqing region in the year of 1989 are divided into 5 groups and used in the learning and testing courses of this model.The result shows that such model is feasible for water quality simulation and is more accurate than traditional models.

  6. INTEGRAL INDEX OF OPERATION QUALITY FOR EVALUATION OF IMPACT OF DISTRIBUTIVE GENERATION SOURCES ON ELECTRIC NETWORK MODES

    Directory of Open Access Journals (Sweden)

    Petro D. Lezhniuk

    2017-06-01

    Full Text Available Method of operation quality evaluation of electric network, comprising renewable sources of energy (RSE is considered. Integral index that enables to evaluate the impact of RSE on energy losses and its quality as well as balance reliability in electric network is suggested. Mathematical model is constructed, taking into account the assumption that electric network with RSE may be in various operation modes, characterized by different technical economic indices. To determine the integral index of operation quality of electric network with RSE in all possible states tools of Markov processes theory and criterial method are used.

  7. A Design of Wireless Sensor Networks for a Power Quality Monitoring System

    Directory of Open Access Journals (Sweden)

    Sanggil Kang

    2010-11-01

    Full Text Available Power grids deal with the business of generation, transmission, and distribution of electric power. Recently, interest in power quality in electrical distribution systems has increased rapidly. In Korea, the communication network to deliver voltage, current, and temperature measurements gathered from pole transformers to remote monitoring centers employs cellular mobile technology. Due to high cost of the cellular mobile technology, power quality monitoring measurements are limited and data gathering intervals are large. This causes difficulties in providing the power quality monitoring service. To alleviate the problems, in this paper we present a communication infrastructure to provide low cost, reliable data delivery. The communication infrastructure consists of wired connections between substations and monitoring centers, and wireless connections between pole transformers and substations. For the wireless connection, we employ a wireless sensor network and design its corresponding data forwarding protocol to improve the quality of data delivery. For the design, we adopt a tree-based data forwarding protocol in order to customize the distribution pattern of the power quality information. We verify the performance of the proposed data forwarding protocol quantitatively using the NS-2 network simulator.

  8. Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks

    Directory of Open Access Journals (Sweden)

    Asiya Khan

    2010-01-01

    Full Text Available The aim of this paper is to present video quality prediction models for objective non-intrusive, prediction of H.264 encoded video for all content types combining parameters both in the physical and application layer over Universal Mobile Telecommunication Systems (UMTS networks. In order to characterize the Quality of Service (QoS level, a learning model based on Adaptive Neural Fuzzy Inference System (ANFIS and a second model based on non-linear regression analysis is proposed to predict the video quality in terms of the Mean Opinion Score (MOS. The objective of the paper is two-fold. First, to find the impact of QoS parameters on end-to-end video quality for H.264 encoded video. Second, to develop learning models based on ANFIS and non-linear regression analysis to predict video quality over UMTS networks by considering the impact of radio link loss models. The loss models considered are 2-state Markov models. Both the models are trained with a combination of physical and application layer parameters and validated with unseen dataset. Preliminary results show that good prediction accuracy was obtained from both the models. The work should help in the development of a reference-free video prediction model and QoS control methods for video over UMTS networks.

  9. Assembly Quality Prediction Based on Back-propagation Artificial Neural Network

    Directory of Open Access Journals (Sweden)

    He Yong-yi

    2013-07-01

    Full Text Available Because of the severe geometrical distortion induced by the optical system and the limited kinetic accuracy of mechanical system in the vision-based mobile-phone lens’s assembly system, the nonlinear, perspective distortion errors and the kinematics errors generally exist in the assembly process of the mobile-phone lens. It is necessary to predict the assembly quality of the vision-based mobile-phone lens’s pick-and-place system so as to eliminate the immediate effect on the assembling process before extracting quantitative assembling. Comparison with current research methods, the back-propagation artificial neural network is applied to predict the assembly quality of the vision-based mobile-phone lens’s pick-and-place system. Firstly, the mobile-phone lens’s assembly quality characteristics are defined and sampled; Secondly, a back-propagation artificial neural network of the mobile-phone lens’s assembly quality prediction is presented; Finally apply some training samples obtained from the experiments to train and test this back-propagation artificial neural network. The results show that the proposed method is effective to predict the assembly quality of the vision-based mobile-phone lens’s pick-and-place system with high accuracy and high reliability.  

  10. Quality of Service on Linux for the Atlas TDAQ Event Building Network

    Institute of Scientific and Technical Information of China (English)

    Y.Yasu; Y.Nagasaka; 等

    2001-01-01

    Congestion control for packets sent on a network is important for DAQ systems that contain an event builder using switching network technologies.Quality of Service(QoS) is a technique for congestion control.Recent Linux releases provide QoS in the kernel to manage network traffic.We have analyzed the packet-loss and packet distribution for the event builder prototype of the Atlas TDAQ system.We used PC/Linux with Gigabit Ethernet network as the testbed.The result showed that QoS using CBQ and TBF eliminated packet loss on UDP/IP transfer while the UDP/IP transfer in best effort made lots of packet loss.The result also showed that the QoS overhead was small.We concluded that QoS on Linux performed efficiently in TCP/IP and UDP/IP and will have an important role of the Atlas TDAQ system.

  11. Fast and Quality-Guaranteed Data Streaming in Resource-Constrained Sensor Networks

    CERN Document Server

    Soroush, Emad; Pei, Jian

    2008-01-01

    In many emerging applications, data streams are monitored in a network environment. Due to limited communication bandwidth and other resource constraints, a critical and practical demand is to online compress data streams continuously with quality guarantee. Although many data compression and digital signal processing methods have been developed to reduce data volume, their super-linear time and more-than-constant space complexity prevents them from being applied directly on data streams, particularly over resource-constrained sensor networks. In this paper, we tackle the problem of online quality guaranteed compression of data streams using fast linear approximation (i.e., using line segments to approximate a time series). Technically, we address two versions of the problem which explore quality guarantees in different forms. We develop online algorithms with linear time complexity and constant cost in space. Our algorithms are optimal in the sense they generate the minimum number of segments that approximat...

  12. HOS network-based classification of power quality events via regression algorithms

    Science.gov (United States)

    Palomares Salas, José Carlos; González de la Rosa, Juan José; Sierra Fernández, José María; Pérez, Agustín Agüera

    2015-12-01

    This work compares seven regression algorithms implemented in artificial neural networks (ANNs) supported by 14 power-quality features, which are based in higher-order statistics. Combining time and frequency domain estimators to deal with non-stationary measurement sequences, the final goal of the system is the implementation in the future smart grid to guarantee compatibility between all equipment connected. The principal results are based in spectral kurtosis measurements, which easily adapt to the impulsive nature of the power quality events. These results verify that the proposed technique is capable of offering interesting results for power quality (PQ) disturbance classification. The best results are obtained using radial basis networks, generalized regression, and multilayer perceptron, mainly due to the non-linear nature of data.

  13. Investigation of Service Quality of Measurement Reference Points for the Internet Services on Mobile Networks

    Science.gov (United States)

    Lipenbergs, E.; Bobrovs, Vj.; Ivanovs, G.

    2016-10-01

    To ensure that end-users and consumers have access to comprehensive, comparable and user-friendly information regarding the Internet access service quality, it is necessary to implement and regularly renew a set of legislative regulatory acts and to provide monitoring of the quality of Internet access services regarding the current European Regulatory Framework. The actual situation regarding the quality of service monitoring solutions in different European countries depends on national regulatory initiatives and public awareness. The service monitoring solutions are implemented using different measurement methodologies and tools. The paper investigates the practical implementations for developing a harmonising approach to quality monitoring in order to obtain objective information on the quality of Internet access services on mobile networks.

  14. Argentine ants (Linepithema humile) use adaptable transportation networks to track changes in resource quality.

    Science.gov (United States)

    Latty, Tanya; Holmes, Michael J; Makinson, James C; Beekman, Madeleine

    2017-02-15

    Transportation networks play a crucial role in human and animal societies. For a transportation network to be efficient, it must have adequate capacity to meet traffic demand. Network design becomes increasingly difficult in situations where traffic demand can change unexpectedly. In humans, network design is often constrained by path dependency because it is difficult to move a road once it is built. A similar issue theoretically faces pheromone-trail-laying social insects; once a trail has been laid, positive feedback makes re-routing difficult because new trails cannot compete with continually reinforced pre-existing trails. In the present study, we examined the response of Argentine ant colonies and their trail networks to variable environments where resources differ in quality and change unexpectedly. We found that Argentine ant colonies effectively tracked changes in food quality such that colonies allocated the highest proportion of foragers to the most rewarding feeder. Ant colonies maximised access to high concentration feeders by building additional trails and routes connecting the nest to the feeder. Trail networks appeared to form via a pruning process in which lower traffic trails were gradually removed from the network. At the same time, we observed several instances where new trails appear to have been built to accommodate a surge in demand. The combination of trail building when traffic demand is high and trail pruning when traffic demand is low results in a demand-driven network formation system that allows ants to monopolise multiple dynamic resources. © 2017. Published by The Company of Biologists Ltd.

  15. The Earthscope USArray Array Network Facility (ANF): Metadata, Network and Data Monitoring, Quality Assurance During the Second Year of Operations

    Science.gov (United States)

    Eakins, J. A.; Vernon, F. L.; Martynov, V.; Newman, R. L.; Cox, T. A.; Lindquist, K. L.; Hindley, A.; Foley, S.

    2005-12-01

    The Array Network Facility (ANF) for the Earthscope USArray Transportable Array seismic network is responsible for: the delivery of all Transportable Array stations (400 at full deployment) and telemetered Flexible Array stations (up to 200) to the IRIS Data Management Center; station command and control; verification and distribution of metadata; providing useful remotely accessible world wide web interfaces for personnel at the Array Operations Facility (AOF) to access state of health information; and quality control for all data. To meet these goals, we use the Antelope software package to facilitate data collection and transfer, generation and merging of the metadata, real-time monitoring of dataloggers, generation of station noise spectra, and analyst review of individual events. Recently, an Antelope extension to the PHP scripting language has been implemented which facilitates the dynamic presentation of the real-time data to local web pages. Metadata transfers have been simplified by the use of orb transfer technologies at the ANF and receiver end points. Web services are being investigated as a means to make a potentially complicated set of operations easy to follow and reproduce for each newly installed or decommissioned station. As part of the quality control process, daily analyst review has highlighted areas where neither the regional network bulletins nor the USGS global bulletin have published solutions. Currently four regional networks (Anza, BDSN, SCSN, and UNR) contribute data to the Transportable Array with additional contributors expected. The first 100 stations (42 new Earthscope stations) were operational by September 2005 with all but one of the California stations installed. By year's end, weather permitting, the total number of stations deployed is expected to be around 145. Visit http://anf.ucsd.edu for more information on the project and current status.

  16. A Low Cost High Density Sensor Network for Air Quality at London Heathrow Airport

    Science.gov (United States)

    Bright, V.; Mead, M. I.; Popoola, O. A.; Baron, R. P.; Saffell, J.; Stewart, G.; Kaye, P.; Jones, R.

    2012-12-01

    Atmospheric composition within urban areas has a direct effect on the air quality of an environment in which a large majority of people live and work. Atmospheric pollutants including ozone (O3), nitrogen dioxide (NO2), volatile organic compounds (VOCs) and particulate matter (PM) can have a significant effect on human health. As such it is important to determine the potential exposure of individuals to these atmospheric constituents and investigate the processes that lead to the degradation of air quality within the urban environment. Whilst modelled pollutant levels on the local scale often suggest high degrees of spatial and temporal variability, the relatively sparse fixed site automated urban networks only provide low spatial resolution data that do not appear adequate in detecting such small scale variability. In this paper we demonstrate that measurements can now be made using networks of low-cost sensors that utilise a variety of techniques, including electrochemical and optical, to measure concentrations of atmospheric species. Once equipped with GPS and GPRS to determine position and transmit data respectively, these networks have the potential to provide valuable insights into pollutant variability inherent on the local or micro-scale. The methodology has been demonstrated successfully in field campaigns carried out in cities including London and Valencia, and is now being deployed as part of the Sensor Networks for Air Quality currently deployed at London Heathrow airport (SNAQ-Heathrow) which is outlined in the partner paper presented by Mead et al. (this conference). The SNAQ-Heathrow network of 50 sensor nodes will provide an unprecedented data set that includes measurements of O3, NO, NO2, CO, CO2, SO2, total VOCs, size-speciated PM as well as meteorological variables that include temperature, relative humidity, wind speed and direction. This network will provide high temporal (20 second intervals) and spatial (50 sites within the airport area

  17. The University of NSW electronic practice based research network: disease registers, data quality and utility.

    Science.gov (United States)

    Taggart, J; Liaw, S T; Dennis, S; Yu, H; Rahimi, A; Jalaludin, B; Harris, M

    2012-01-01

    Accurate well-maintained registers are a prerequisite to co-ordinated care of patients with chronic diseases. Their effectiveness in enabling improved management is dependent on the quality of the information captured. This paper provides an overview into the methodology and data quality of the electronic Practice Based Research Network. Clinical records with no identifying information are routinely extracted from four general practices. The data are linked in the data warehouse. Data quality is assessed for completeness, correctness and consistency. Reports on data quality are given back to practices and semi-structured interviews provide information to interpret the results and discuss how data quality could be improved. Data quality is mostly complete for sex and date of birth but indigenous status, smoking and weight were incomplete. There are generally high levels of correctness and internal consistency. Completeness of records in assisting the management of diabetes patients using the annual cycle of care was poor. GPs often use the progress notes to enter information during the consultation and coding diagnoses was considered onerous. The routine capture of electronic clinical health records from primary health care and health services can be used to monitor performance and improve the quality of clinical records. There is a need for accurate and comprehensive clinical records to ensure the safety and quality of clinical practice. Understanding the true reasons for poor data quality is complex. Having a community-based research network may assist in answering some of these questions. Electronic health records are increasingly being used for secondary research and evaluation, beyond the primary purpose of supporting clinical care. The data must be of sufficient quality to support these purposes.

  18. A Portable Low-Cost High Density Sensor Network for Air Quality at London Heathrow Airport

    Science.gov (United States)

    Popoola, Olalekan; Mead, Iq; Bright, Vivien; Baron, Ronan; Saffell, John; Stewart, Gregor; Kaye, Paul; Jones, Roderic

    2013-04-01

    Outdoor air quality and its impact on human health and the environment have been well studied and it has been projected that poor air quality will surpass poor sanitation as the major course of environmental premature mortality by 2050 (IGAC / IGBP, release statement, 2012). Transport-related pollution has been regulated at various levels by enactment of legislations at local, national, regional and global stages. As part of the mitigation measures, routine measurements of atmospheric pollutants such as carbon monoxide (CO), nitric oxide (NO) and nitrogen dioxide (NO2) have to be established in areas where air quality problems are identified. In addition, emission inventories are also generated for different atmospheric environments including urban areas and airport environments required for air quality models. Whilst recognising that most of the existing sparse monitoring networks provide high temporal measurements, spatial data of these highly variable pollutants are not captured, making it difficult to adequately characterise the highly heterogeneous air quality. Spatial information is often obtained from model data which can only be constrained using measurements from the sparse monitoring networks. The work presented here shows the application of low-cost sensor networks aimed at addressing this missing spatial information. We have shown in previous studies the application of low-cost electrochemical sensor network instruments in monitoring road transport pollutants including CO, NO and NO2 in an urban environment (Mead et. al. 2012, accepted Atmospheric Environment). Modified versions of these instruments which include additional species such as O3, SO2, VOCs and CO2 are currently deployed at London Heathrow Airport (LHR) as part of the Sensor Network for Air Quality (SNAQ) project. Meteorology data such as temperature, relative humidity, wind speed and direction are also measured as well as size-speciated particulates (0.38 to 17.4 µm). A network of 50

  19. Evaluation of the air quality regarding total suspended particles and heavy metals (Pb, Cd, Ni, Cu, Cr) in the Hermosillo city, Sonora, Mexico, during a yearly period; Evaluacion de la calidad del aire respecto de particulas suspendidas totales y metales pesados (Pb, Cd, Ni, Cu, Cr) en la Ciudad de Hermosillo, Sonora, Mexico, durante un periodo anual

    Energy Technology Data Exchange (ETDEWEB)

    Cruz C, M. E.; Quintero N, M. [Universidad Autonoma de Baja California, Instituto de Ingenieria, Campus Mexicali, Calle de la Normal s/n, y Blvd. Benito Juarez, Col. Insurgentes Este, Mexicali, Baja California (Mexico); Gomez A, A.; Varela S, J., E-mail: martincruzcampas@hotmail.com [Universidad de Sonora, Departamento de Ingenieria Quimica y Metalurgia, Blvd. Rosales y Luis Ensina s/n, Edificio 5B, Col. Centro, 83000 Hermosillo, Sonora (Mexico)

    2013-07-01

    In the present study, the air quality of the city of Hermosillo, Sonora, Mexico was assessed considering total suspended particulates (tsp) and heavy metals (Pb, Cd, Ni, Cu, Cr) from June 2001 through May 2002 in three monitoring sites Centro (Mazon), Nor este (CESUES) and Noroeste (CBTIS). The filter-samples used for that purpose were provided by the Air Quality Evaluation and Improvement Program (PEMCA) of the municipality of Hermosillo. The sampling method was based on high volume sampling frequency set every 6 days with non-simultaneous sampling among the three sampling sites. Filters were dissolved for metal determination by acidic-extraction, and then analyzed by flame atomic absorption spectrophotometry. Results indicate that tsp concentrations at Centro and Noroeste sites were frequently higher than the maximum daily permissible level (260 {mu}g/m{sup 3}), while in the three sites the annual average was higher than the maximum annual permissible level (75 {mu}g/m{sup 3}) both established in the standard NOM-024-Ssa-1993 (Ssa 1994a). According to the Air Quality Standard Index (US EPA 1992a), used in Mexico by Air Quality Metropolitan Index (IMECA) the results indicate that the air quality in the city of Hermosillo regarding tsp was placed between no satisfactory and poor. In regard to heavy metals (Pb, Cd, Ni, Cu, Cr), concentrations detected were below the maximum permissible levels and/or criteria taking into account the standard NOM-026-Ssa-1993 (Ssa 1994b), the Who criterion (2000), the European Union criterion (Cec 2003), and the European Environmental Agency criteria (EEA 2004). Such findings would mean that airborne metals are of no concern; however, air quality is still classified as no satisfactory due to high particulate matter concentrations. Keeping air quality parameters monitoring is recommended in order to get extensive data for use in risk studies of air quality and health (morbidity/mortality), as well as topographic conditions

  20. Perceptual Evaluation Of Playout Buffer Algorithm For Enhancing Perceived Quality Of Voice Transmission Over Ip Network

    CERN Document Server

    Perwej, Yusuf; 10.5121/ijmnct.2012.2201

    2012-01-01

    Voice over Internet Protocol (VoIP) is a technology that allows you to make voice calls using a broadband Internet connection instead of a regular (or analog) phone line. Voice over Internet Protocol (VoIP) has led human speech to a new level, where conversation across continents can be much cheaper & faster. However, as IP networks are not designed for real-time applications, the network impairments such as packet loss, jitter and delay have a severe impact on speech quality. The playout buffer at the receiver side is used to compensate jitter at a trade-off of delay and loss. We found the characteristics of delay and loss are dependent on IP network and sudden variable delay (spike) often performs both regular and irregular characteristics. Different playout buffer algorithms can have different impacts on the achievement speech quality. It is important to design a playout buffer algorithm which can help achieve an optimum speech quality. In this paper, we investigate to the understanding how network imp...

  1. Forecasting daily source air quality using multivariate statistical analysis and radial basis function networks.

    Science.gov (United States)

    Sun, Gang; Hoff, Steven J; Zelle, Brian C; Nelson, Minda A

    2008-12-01

    It is vital to forecast gas and particle matter concentrations and emission rates (GPCER) from livestock production facilities to assess the impact of airborne pollutants on human health, ecological environment, and global warming. Modeling source air quality is a complex process because of abundant nonlinear interactions between GPCER and other factors. The objective of this study was to introduce statistical methods and radial basis function (RBF) neural network to predict daily source air quality in Iowa swine deep-pit finishing buildings. The results show that four variables (outdoor and indoor temperature, animal units, and ventilation rates) were identified as relative important model inputs using statistical methods. It can be further demonstrated that only two factors, the environment factor and the animal factor, were capable of explaining more than 94% of the total variability after performing principal component analysis. The introduction of fewer uncorrelated variables to the neural network would result in the reduction of the model structure complexity, minimize computation cost, and eliminate model overfitting problems. The obtained results of RBF network prediction were in good agreement with the actual measurements, with values of the correlation coefficient between 0.741 and 0.995 and very low values of systemic performance indexes for all the models. The good results indicated the RBF network could be trained to model these highly nonlinear relationships. Thus, the RBF neural network technology combined with multivariate statistical methods is a promising tool for air pollutant emissions modeling.

  2. Image Transmission Model with Quality of Service and Energy Economy in Wireless Multimedia Sensor Network

    Directory of Open Access Journals (Sweden)

    Benlabbes Haouari

    2016-02-01

    Full Text Available The objective of this article is to present the efficiency of image compression in the Wireless Multimedia Sensor Network (WMSN, the method used in this work is based on the lifting scheme coupled with the SPIHT coding to wavelet biorthogonal CDF 9/7. The effectiveness of this technique results in combining two advantages. First it allows saving energy to prolong the life of the network; second, it improves the Quality of Service (QoS in terms of average throughput, the number of dropped packets, and End-to-End average delay. The authors examined two scenarios of the same network model in NS2 simulator, according to the above critical points of the energy economy and quality of service, the first scenario transmits an original image, and the second sends the compressed image with the used method. The simulation results presented show that the proposed system allows to extend the life of the network and minimizes the consumption of energy; and it can transmit the image in comfortable conditions for QoS of network, reduce the End-to-End average delay, no dropped packet, best average throughput and satisfied for bandwidth.

  3. Water quality forecasting at Gongju station in Geum River using neural network model

    Energy Technology Data Exchange (ETDEWEB)

    Ahn, Sang-Jin; Yeon, In-Sung [Chungbuk National University, Cheongju(Korea); Han, Yang-Su [Kyungdong University, Sokcho(Korea); Lee, Jae-Kyung [Daewon Science College, Jecheon(Korea)

    2001-12-31

    Forecasting of water quality variation is not an easy process due to the complicated nature of various water quality factors and their interrelationships. The objective of this study is to test the applicability of neural network models to the forecasting of the water quality at Gongju station in Geum River. This is done by forecasting monthly water qualities such as DO, BOD, and TN, and comparing with those obtained by ARIMA model. The neural network models of this study use BP(Back Propagation) algorithm for training. In order to improve the performance of the training, the models are tested in three different styles; MANN model which uses the Moment-Adaptive learning rate method, LMNN model which uses the Levenberg-Marquardt method, and MNN model which separates the hidden layers for judgement factors from the hidden layers for water quality data. the results show that the forecasted water qualities are reasonably close to the observed data. And the MNN model shows the best results among the three models tested. (author). 14 refs., 4 tabs., 8 figs.

  4. Development and Challenge of HIV/AIDS Testing Laboratory Network and Quality Assurance System in China

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    This paper describes the development and challenge of HIV/AIDS testing laboratory network and quality assurance system in China. At present, the HIV/AIDS testing laboratories includes three classes, the National AIDS Reference Laboratory, HIV/AIDS confirmatory laboratories and HIV/AIDS screening laboratories. All of them are accredited by the health authorities, and each class of laboratories take charge of their function strictly according to the "National Management of HIV/AIDS Detection (2006)". A complete quality assurance and quality control system for HIV/AIDS testing has been developed, which includes technical training, strict laboratory monitoring and approval,examination or proficiency testing on HIV/AIDS detection, and quality evaluation and supervision of HIV/AIDS diagnostic kits. Besides conduct the routine anti-HIV antibody test, more and more laboratories began to conduct other tests, such as CD4+ T lymphocyte cell counting, HIV viral load, HIV DNA PCR, genotyping, drug resistance, and HIV-1 recent infection test. The primary challenges faced by the HIV/AIDS testing laboratory network are in the areas of laboratory management and quality control. For example, the provincial PT program is inefficient, the internal quality control is conducted perfunctorily, personnel training can not met the needs of the workplace, which need to be improved.

  5. Participation of the ARN in the program of the EML-US DOE for the evaluation of quality of the radiochemistry measurements; Participacion de la ARN en el programa del EML-USDOE para la evaluacion de calidad de las mediciones radioquimicas

    Energy Technology Data Exchange (ETDEWEB)

    Equillor, Hugo; Grinman, Ana; Serdeiro, Nelida; Fernandez, Jorge; Gavini, Ricardo; Bonino, Nestor; Lewis, Cecilia; Palacios, Miguel; Diodati, Jorge; Medici, Marcela [Autoridad Regulatoria Nuclear, Buenos Aires (Argentina)

    2001-07-01

    The Autoridad Regulatoria Nuclear (ARN), Republica Argentina participates since 1995 in the Quality Assessment Program carried out by the Environmental Measurements Laboratory, United States Department Of Energy (US DOE). The aim of this participation is to assess the quality of the measurements that ARN realises routinely. The program involves alpha, beta, gamma emitters radionuclides determinations in four kinds of matrixes: water, filter, vegetation and soil. In the present work the results of the ARN participations respect to 1998-2000 period, are detailed and analyzed statistically. The results are compared with the total of the laboratories. (author)

  6. Site location optimization of regional air quality monitoring network in China: methodology and case study.

    Science.gov (United States)

    Zheng, Junyu; Feng, Xiaoqiong; Liu, Panwei; Zhong, Liuju; Lai, Senchao

    2011-11-01

    Regional air quality monitoring networks (RAQMN) are urgently needed in China due to increasing regional air pollution in city clusters, arising from rapid economic development in recent decades. This paper proposes a methodological framework for site location optimization in designing a RAQMN adapting to air quality management practice in China. The framework utilizes synthetic assessment concentrations developed from simulated data from a regional air quality model in order to simplify the optimal process and to reduce costs. On the basis of analyzing various constraints such as cost and budget, terrain conditions, administrative district, population density and spatial coverage, the framework takes the maximum approximate degree as an optimization objective to achieve site location optimization of a RAQMN. An expert judgment approach was incorporated into the framework to help adjust initial optimization results in order to make the network more practical and representative. A case study was used to demonstrate the application of the framework, indicating that it is feasible to conduct site optimization for a RAQMN design in China. The effects of different combinations of primary and secondary pollutants on site location optimization were investigated. It is suggested that the network design considering both primary and secondary pollutants could better represent regional pollution characteristics and more extensively reflect temporal and spatial variations of regional air quality. The work shown in this study can be used as a reference to guide site location optimization of a RAQMN design in China or other regions of the world.

  7. The relationship between health plan performance measures and physician network overlap: implications for measuring plan quality.

    Science.gov (United States)

    Maeng, Daniel D; Scanlon, Dennis P; Chernew, Michael E; Gronniger, Tim; Wodchis, Walter P; McLaughlin, Catherine G

    2010-08-01

    To examine the extent to which health plan quality measures capture physician practice patterns rather than plan characteristics. We gathered and merged secondary data from the following four sources: a private firm that collected information on individual physicians and their health plan affiliations, The National Committee for Quality Assurance, InterStudy, and the Dartmouth Atlas. We constructed two measures of physician network overlap for all health plans in our sample and linked them to selected measures of plan performance. Two linear regression models were estimated to assess the relationship between the measures of physician network overlap and the plan performance measures. The results indicate that in the presence of a higher degree of provider network overlap, plan performance measures tend to converge to a lower level of quality. Standard health plan performance measures reflect physician practice patterns rather than plans' effort to improve quality. This implies that more provider-oriented measurement, such as would be possible with accountable care organizations or medical homes, may facilitate patient decision making and provide further incentives to improve performance.

  8. A Framework to Enhance Quality of Service for Content Delivery Network Using Web Services: A Review

    Directory of Open Access Journals (Sweden)

    K.Manivannan

    2011-09-01

    Full Text Available Content Delivery Networks (CDNs is anticipated to provide better performance delivery of content in internet through worldwide coverage, which would be a fence for new content delivery network providers. The appearance of Web as a omnipresent media for sharing content and services has led to the rapid growth of the Internet. At the same time, the number of users accessing Web-based content and services are growing exponentially. This has placed a heavy demand on Internet bandwidth and Web systems hosting content and application services. As a result, many Web sites are unable to manage this demand and offer their services in a timely manner. Content Delivery Networks (CDNs have emerged to overcome these limitations by offering infrastructure and mechanisms to deliver content and services in a scalable manner, and enhancing users Web experience. The planned research provides a framework designed to enhance QoS of Web service processes for real time servicing. QoS parameters of various domains can be combined to provide differentiated services, and allocating dynamically available resources in the midst of customers while delivering high-quality real time multimedia content. While accessing the service by a customer, it is possible to adapt real time streams to vastly changeable network conditions to give suitable quality in spite of factors upsetting Quality of service. To reach these intentions, adaptive web service processes to supply more information for determining the quality and size of the delivered object. The framework includes a section for QoS monitoring and adaptation and QoS faults prediction possibility and convalesce actions in case of failure. The aim of this research is to encourage research about quality of composite services in service-oriented architectures with security measures.

  9. Evaluation of image quality and dose in thoracic spiral CT examination in patients with pulmonary carcinoma. Preliminary results; Evaluacion de la calidad de imagen y de la dosis en examenes de TC helicoidal de torax en pacientes con carcinoma de pulmon. Resultados preliminares

    Energy Technology Data Exchange (ETDEWEB)

    Moran-Blanco, L. M.; Rodriguez-Gonzalez, R.; Calzado-Cantera, A.; Arenas de Pablo, A.; Baeza-Trujillo, M.; Cuevas-Ibanez, A.; Garcia-Castano, B.; Gomez-Leon, N.; Turrero-Nogues, A.; Moran-Penco, P.

    2002-07-01

    We have applied criteria for CT quality defined in the European Guidelines to a samples of thoracic CT examinations for the indication of pulmonary carcinoma of 5 institutions of the Community of Madrid that have spiral CT equipment. The selected examinations have been evaluated independently by five radiologists to determine the degree of adherence to the quality criteria for image defined in the Guidelines s for examinations of general thorax. Dosimetric measurements carried out in parallel have served to estimate the values of CT (CTDI{sub w}) dose indices, dose-length product (DLP) and effective dose for every patient. The result show a high global adherence to the quality criteria (96%), with averages per institution being between 94% (in two institutions) and 98% (in three institutions). There are 10 of 16 criteria that are adhered to in all examinations of the sample: those which are not adhered to systematically are: two of visualization (1.1 and 1.4), with 92-96% fulfillment, and four of critical reproduction (2.6; 2.8; 2.9 and 2.10), with percentages of adherence between 91% and 96%. The average CTDI{sub w} values per institution are in the interval 12.9-19.1 mGy; those of DLP between 263 and 577 mGy cm and those of effective dose between 4.2 and 9.2 mSv. The DLP-image quality correlation in institutions with the best image quality was null in two of them and direct and moderate in the third. In both institutions with the poorest image: (Author) 20 refs.

  10. Unified study of Quality of Service (QoS) in OPS/OBS networks

    Science.gov (United States)

    Hailu, Dawit Hadush; Lema, Gebrehiwet Gebrekrstos; Yekun, Ephrem Admasu; Kebede, Samrawit Haylu

    2017-07-01

    With the growth of Internet traffic, an inevitable use of optical networks provide a large bandwidth, fast data transmission rates and Quality of Service (QoS) support. Currently, Optical Burst Switched (OBS)/Optical Packet Switched (OPS) networks are under study as future solutions for addressing the increase demand of Internet traffic. However, due to their high blocking probability in the intermediate nodes they have been delayed in the industries. Packet loss in OBS/OPS networks is mainly occur due to contention. Hence, the contribution of this study is to analyze the file loss ratio (FLR), packet overhead and number of disjoint paths, and processing delay over Coded Packet Transport (CPT) scheme for OBS/OPS network using simulation. The simulations show that CPT scheme reduces the FLR in OBS/OPS network for the evaluated scenarios since the data packets are chopped off into blocks of the data packet for transmission over a network. Simulation results for secrecy and survivability are verified with the help of the analytical model to define the operational range of CPT scheme.

  11. Innovation, Quality and Networking in Engineering Education in Europe: the Contribution of SOCRATES THEMATIC NETWORKS

    Science.gov (United States)

    Borri, Claudio; Guberti, Elisa; Maffioli, Francesco

    Accreditation of the degree programmes in Engineering is surely an argument which stimulates a great interest not only in the Italian level but above all in the European perspective. It appears strategic that Europe is equipped with a system which permits to compare the degree programmes in Engineering offered by various universities in Europe also in view of a major competition in the area of higher education in the European Union, in comparison with third countries. This appears the principal basis of different actions financed by the European Commission, which have among their own objectives also the study of an accreditation system of the degree programmes in Engineering in Europe. In this article 3 SOCRATES Thematic Networks are presented, which, one after the other, starting from 1998, have been operational in the European panorama. Among their objectives there is a recurrent motive: accreditation of the degree programmes in Engineering in Europe.

  12. Maintaining high-quality IP audio services in lossy IP network environments

    Science.gov (United States)

    Barton, Robert J., III; Chodura, Hartmut

    2000-07-01

    In this paper we present our research activities in the area of digital audio processing and transmission. Today's available teleconference audio solutions are lacking in flexibility, robustness and fidelity. There was a need for enhancing the quality of audio for IP-based applications to guarantee optimal services under varying conditions. Multiple tests and user evaluations have shown that a reliable audio communication toolkit is essential for any teleconference application. This paper summarizes our research activities and gives an overview of developed applications. In a first step the parameters, which influence the audio quality, were evaluated. All of these parameters have to be optimized in order to result into the best achievable quality. Therefore it was necessary to enhance existing schemes or develop new methods. Applications were developed for Internet-Telephony, broadcast of live music and spatial audio for Virtual Reality environments. This paper describes these applications and issues of delivering high quality digital audio services over lossy IP networks.

  13. Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale.

    Science.gov (United States)

    Emmons, Scott; Kobourov, Stephen; Gallant, Mike; Börner, Katy

    2016-01-01

    Notions of community quality underlie the clustering of networks. While studies surrounding network clustering are increasingly common, a precise understanding of the realtionship between different cluster quality metrics is unknown. In this paper, we examine the relationship between stand-alone cluster quality metrics and information recovery metrics through a rigorous analysis of four widely-used network clustering algorithms-Louvain, Infomap, label propagation, and smart local moving. We consider the stand-alone quality metrics of modularity, conductance, and coverage, and we consider the information recovery metrics of adjusted Rand score, normalized mutual information, and a variant of normalized mutual information used in previous work. Our study includes both synthetic graphs and empirical data sets of sizes varying from 1,000 to 1,000,000 nodes. We find significant differences among the results of the different cluster quality metrics. For example, clustering algorithms can return a value of 0.4 out of 1 on modularity but score 0 out of 1 on information recovery. We find conductance, though imperfect, to be the stand-alone quality metric that best indicates performance on the information recovery metrics. Additionally, our study shows that the variant of normalized mutual information used in previous work cannot be assumed to differ only slightly from traditional normalized mutual information. Smart local moving is the overall best performing algorithm in our study, but discrepancies between cluster evaluation metrics prevent us from declaring it an absolutely superior algorithm. Interestingly, Louvain performed better than Infomap in nearly all the tests in our study, contradicting the results of previous work in which Infomap was superior to Louvain. We find that although label propagation performs poorly when clusters are less clearly defined, it scales efficiently and accurately to large graphs with well-defined clusters.

  14. GIS Methodology for Location of Biomass Power Plants Via Multi -Criteria Evaluation and Network Analysis. Location-Allocation Models for Forest Biomass Use; Metodologia SIG para la Localizacion de Centrales de Biomasa mediante Evaluacion Multicriterio y Analisis de Redes. Modelos de Localizacion-Asignacion para el Aprovechamiento de Biomasa Forestal

    Energy Technology Data Exchange (ETDEWEB)

    Paz, C. de la; Dominguez, J.; Perez, M. E.

    2013-02-01

    The main purpose of this study is to find optimal areas for the installation of Biomass Plants for electric generation and grid connected. In order to achieve this goal, a methodology based on Multi-Criteria Evaluation (MCE) and implemented by means a Geographic Information System (GIS) has been developed. Factors and restrictions for biomass resource and power plants location of biomass have been obtained through the dataset. The methodology output includes maps of greater aptitude areas for resource use (forest biomass available), as well as suitable locations for the placement of Forest Biomass facilities. Both cartographic products have been related by means Network Analysis. It generates Location-Allocation Models which allows locating Forest Biomass Facilities according with an optimization of the supply chain from the resource areas. (Author)

  15. Quality incentive based congestion control for multimedia communication over IP networks

    Institute of Scientific and Technical Information of China (English)

    JOHANSEN Stian; KIM Anna N.; PERKIS Andrew

    2006-01-01

    In this paper we introduce a framework for using quality as an incentive to promote proper application level congestion control. Through integrating a joint-source channel coder and feedback-based congestion control scheme, we are able to construct accurate and efficient quality incentives. The framework is applicable in all network architectures where end-to-end congestion control may be used, and is as such not specific to either best-effort or traffic class-based architectures. The concept is presented along with preliminary simulations that highlight the resulting rate control accuracy. We also discuss how to implement some well-known congestion control schemes within our framework.

  16. A Study of Quality of Service Communication for High-Speed Packet-Switching Computer Sub-Networks

    Science.gov (United States)

    Cui, Zhenqian

    1999-01-01

    With the development of high-speed networking technology, computer networks, including local-area networks (LANs), wide-area networks (WANs) and the Internet, are extending their traditional roles of carrying computer data. They are being used for Internet telephony, multimedia applications such as conferencing and video on demand, distributed simulations, and other real-time applications. LANs are even used for distributed real-time process control and computing as a cost-effective approach. Differing from traditional data transfer, these new classes of high-speed network applications (video, audio, real-time process control, and others) are delay sensitive. The usefulness of data depends not only on the correctness of received data, but also the time that data are received. In other words, these new classes of applications require networks to provide guaranteed services or quality of service (QoS). Quality of service can be defined by a set of parameters and reflects a user's expectation about the underlying network's behavior. Traditionally, distinct services are provided by different kinds of networks. Voice services are provided by telephone networks, video services are provided by cable networks, and data transfer services are provided by computer networks. A single network providing different services is called an integrated-services network.

  17. Enhancement of the Automated Quality Control Procedures for the International Soil Moisture Network

    Science.gov (United States)

    Heer, Elsa; Xaver, Angelika; Dorigo, Wouter; Messner, Romina

    2017-04-01

    In-situ soil moisture observations are still trusted to be the most reliable data to validate remotely sensed soil moisture products. Thus, the quality of in-situ soil moisture observations is of high importance. The International Soil Moisture Network (ISMN; http://ismn.geo.tuwien.ac.at/) provides in-situ soil moisture data from all around the world. The data is collected from individual networks and data providers, measured by different sensors in various depths. The data sets which are delivered in different units, time zones and data formats are then transformed into homogeneous data sets. An erroneous behavior of soil moisture data is very difficult to detect, due to annual and daily changes and most significantly the high influence of precipitation and snow melting processes. Only few of the network providers have a quality assessment for their data sets. Therefore, advanced quality control procedures have been developed for the ISMN (Dorigo et al. 2013). Three categories of quality checks were introduced: exceeding boundary values, geophysical consistency checks and a spectrum based approach. The spectrum based quality control algorithms aim to detect erroneous measurements which occur within plausible geophysical ranges, e.g. a sudden drop in soil moisture caused by a sensor malfunction. By defining several conditions which have to be met by the original soil moisture time series and their first and second derivative, such error types can be detected. Since the development of these sophisticated methods many more data providers shared their data with the ISMN and new types of erroneous measurements were identified. Thus, an enhancement of the automated quality control procedures became necessary. In the present work, we introduce enhancements of the existing quality control algorithms. Additionally, six completely new quality checks have been developed, e.g. detection of suspicious values before or after NAN-values, constant values and values that lie in a

  18. Water quality forecast through application of BP neural network at Yuqiao reservoir

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    This paper deals with the study of a water quality forecast model through application of BP neural network technique and GUI (Graphical User Interfaces) function of MATLAB at Yuqiao reservoir in Tianjin. To overcome the shortcomings of traditional BP algorithm as being slow to converge and easy to reach extreme minimum value, the model adopts LM (Levenberg-Marquardt) algorithm to achieve a higher speed and a lower error rate. When factors affecting the study object are identified,the reservoir's 2005 measured values are used as sample data to test the model. The number of neurons and the type of transfer functions in the hidden layer of the neural network are changed from time to time to achieve the best forecast results. Through simulation testing the model shows high efficiency in forecasting the water quality of the reservoir.

  19. Medicaid medical directors quality improvement studies: a case study of evolving methods for a research network.

    Science.gov (United States)

    Fairbrother, Gerry; Trudnak, Tara; Griffith, Katherine

    2014-01-01

    To describe the evolution of methods and share lessons learned from conducting multi-state studies with Medicaid Medical Directors (MMD) using state administrative data. There was a great need for these studies, but also much to be learned about conducting network-based research and ensuring comparability of results. This was a network-level case study. The findings were drawn from the experience developing and executing network analyses with the MMDs, as well as from participant feedback on lessons learned. For the latter, nine interviews with MMD project leads, state data analysts, and outside researchers involved with the projects were conducted. Interviews were transcribed, coded and analyzed using NVivo 10.0 analytic software. MMD study methodology involved many steps: developing research questions, defining data specifications, organizing an aggregated data collection spreadsheet form, assuring quality through review, and analyzing and reporting state data at the national level. State analysts extracted the data from their state Medicaid administrative (claims) databases (and sometimes other datasets). Analysis at the national level aggregated state data overall, by demographics and other sub groups, and displayed descriptive statistics and cross-tabs. Projects in the MMD multi-state network address high-priority clinical issues in Medicaid and impact quality of care through sharing of data and policies among states. Further, these studies contribute not only to high-quality, cost-effective health care for Medicaid beneficiaries, but also add to our knowledge of network-based research. Continuation of these studies requires funding for a permanent research infrastructure nationally, as well as at the state-level to strengthen capacity.

  20. On some sufficient conditions for distributed Quality-of-Service support in wireless networks

    CERN Document Server

    Ganesan, Ashwin

    2009-01-01

    Given a wireless network where some pairs of communication links interfere with each other, we study sufficient conditions for determining whether a given set of minimum bandwidth Quality of Service (QoS) requirements can be satisfied. We are especially interested in algorithms which have low communication overhead and low processing complexity. The interference in the network is modeled using a conflict graph whose vertices are the communication links in the network. Two links are adjacent in this graph if and only if they interfere with each other due to being in the same vicinity and hence cannot be simultaneously active. The problem of scheduling the transmission of the various links is then essentially a fractional, weighted vertex coloring problem, for which upper bounds on the fractional chromatic number are sought using only localized information. We present some distributed algorithms for this problem, and discuss their worst-case performance. These algorithms are seen to be within a bounded factor a...

  1. Evaluation of the utility of sediment data in NASQAN (National Stream Quality Accounting Network)

    OpenAIRE

    Koh, Robert C. Y.; Brooks, Norman H.; Vanoni, Vito A.; Taylor, Brent D.

    1983-01-01

    Monthly suspended sediment discharge measurements, made by the USGS as part of the National Stream Quality Accounting Network (NASQAN), are analysed to assess the adequacy in terms of spatial coverage, temporal sampling frequency, accuracy of measurements, as well as in determining the sediment yield in the nation's rivers. It is concluded that the spatial distribution of NASQAN stations is reasonable but necessarily judgemental. The temporal variations of sediment data contain much high...

  2. Simulation of devices mobility to estimate wireless channel quality metrics in 5G networks

    Science.gov (United States)

    Orlov, Yu.; Fedorov, S.; Samuylov, A.; Gaidamaka, Yu.; Molchanov, D.

    2017-07-01

    The problem of channel quality estimation for devices in a wireless 5G network is formulated. As a performance metrics of interest we choose the signal-to-interference-plus-noise ratio, which depends essentially on the distance between the communicating devices. A model with a plurality of moving devices in a bounded three-dimensional space and a simulation algorithm to determine the distances between the devices for a given motion model are devised.

  3. Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)

    OpenAIRE

    2015-01-01

    Monitoring indoor air quality (IAQ) is deemed important nowadays. A sophisticated IAQ monitoring system which could classify the source influencing the IAQ is definitely going to be very helpful to the users. Therefore, in this paper, an IAQ monitoring system has been proposed with a newly added feature which enables the system to identify the sources influencing the level of IAQ. In order to achieve this, the data collected has been trained with artificial neural network or ANN—a proven meth...

  4. Unmet needs, quality of life and support networks of people with dementia living at home

    Directory of Open Access Journals (Sweden)

    Oomman Sabu

    2010-11-01

    Full Text Available Abstract Background There is lack of evidence about the unmet needs of people with dementia (PWD living at home and the predictors of high levels of unmet needs. The main aim of this study was to identify the relationship between unmet needs, social networks and quality of life of PWD living at home. Methods One hundred and fifty two community dwelling PWD and 128 carers were interviewed about PWD's needs, social networks, quality of life and other functional and psychological factors. All the interviews with PWD were carried out at their homes. Interviews with carers were undertaken either at PWD's home, their own home or at the health centre. Whenever possible, PWD and carers were interviewed separately. The data collection took place between November 2005 and July 2007. The majority of participants (129, 84.9% were recruited from National Health Services (NHS and the rest (23, 15.1% were recruited from other organisations such as social services and voluntary organizations in the UK. Results The most frequent unmet needs for PWD were daytime activities (77, 50.7%, company (60, 39.5%, and help with psychological distress (47, 30.9%. Higher number of behavioural and psychological symptoms, low-community involvement social networks, having a younger carer and higher carer's anxiety were found to be predictors of higher unmet needs in PWD. Social networks and behavioural and psychological symptoms had an indirect effect on PWD's self-rated quality of life through unmet needs. Conclusions Interventions aiming to reduce unmet needs, through the treatment of behavioural and psychological symptoms and the involvement of PWD in the community, would potentially improve PWD's quality of life.

  5. Quality of Recovery Evaluation of the Protection Schemes for Fiber-Wireless Access Networks

    Science.gov (United States)

    Fu, Minglei; Chai, Zhicheng; Le, Zichun

    2016-03-01

    With the rapid development of fiber-wireless (FiWi) access network, the protection schemes have got more and more attention due to the risk of huge data loss when failures occur. However, there are few studies on the performance evaluation of the FiWi protection schemes by the unified evaluation criterion. In this paper, quality of recovery (QoR) method was adopted to evaluate the performance of three typical protection schemes (MPMC scheme, OBOF scheme and RPMF scheme) against the segment-level failure in FiWi access network. The QoR models of the three schemes were derived in terms of availability, quality of backup path, recovery time and redundancy. To compare the performance of the three protection schemes comprehensively, five different classes of network services such as emergency service, prioritized elastic service, conversational service, etc. were utilized by means of assigning different QoR weights. Simulation results showed that, for the most service cases, RPMF scheme was proved to be the best solution to enhance the survivability when planning the FiWi access network.

  6. Scotland's Knowledge Network: translating knowledge into action to improve quality of care.

    Science.gov (United States)

    Wales, A; Graham, S; Rooney, K; Crawford, A

    2012-11-01

    The Knowledge Network (www.knowledge.scot.nhs.uk) is Scotland's online knowledge service for health and social care. It is designed to support practitioners to apply knowledge in frontline delivery of care, helping to translate knowledge into better health-care outcomes through safe, effective, person-centred care. The Knowledge Network helps to combine the worlds of evidence-based practice and quality improvement by providing access to knowledge about the effectiveness of clinical interventions ('know-what') and knowledge about how to implement this knowledge to support individual patients in working health-care environments ('know-how'). An 'evidence and guidance' search enables clinicians to quickly access quality-assured evidence and best practice, while point of care and mobile solutions provide knowledge in actionable formats to embed in clinical workflow. This research-based knowledge is complemented by social networking services and improvement tools which support the capture and exchange of knowledge from experience, facilitating practice change and systems improvement. In these cases, the Knowledge Network supports key components of the knowledge-to-action cycle--acquiring, creating, sharing and disseminating knowledge to improve performance and innovate. It provides a vehicle for implementing the recommendations of the national Knowledge into Action review, which outlines a new national approach to embedding knowledge in frontline practice and systems improvement.

  7. Congestion prediction modeling for quality of service improvement in wireless sensor networks.

    Science.gov (United States)

    Lee, Ga-Won; Lee, Sung-Young; Huh, Eui-Nam

    2014-04-30

    Information technology (IT) is pushing ahead with drastic reforms of modern life for improvement of human welfare. Objects constitute "Information Networks" through smart, self-regulated information gathering that also recognizes and controls current information states in Wireless Sensor Networks (WSNs). Information observed from sensor networks in real-time is used to increase quality of life (QoL) in various industries and daily life. One of the key challenges of the WSNs is how to achieve lossless data transmission. Although nowadays sensor nodes have enhanced capacities, it is hard to assure lossless and reliable end-to-end data transmission in WSNs due to the unstable wireless links and low hard ware resources to satisfy high quality of service (QoS) requirements. We propose a node and path traffic prediction model to predict and minimize the congestion. This solution includes prediction of packet generation due to network congestion from both periodic and event data generation. Simulation using NS-2 and Matlab is used to demonstrate the effectiveness of the proposed solution.

  8. Performance assessment of air quality monitoring networks using principal component analysis and cluster analysis

    Energy Technology Data Exchange (ETDEWEB)

    Lu, Wei-Zhen [Department of Building and Construction, City University of Hong Kong (China); He, Hong-Di [Department of Building and Construction, City University of Hong Kong (China); Logistics Research Center, Shanghai Maritime University, Shanghai (China); Dong, Li-yun [Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai (China)

    2011-03-15

    This study aims to evaluate the performance of two statistical methods, principal component analysis and cluster analysis, for the management of air quality monitoring network of Hong Kong and the reduction of associated expenses. The specific objectives include: (i) to identify city areas with similar air pollution behavior; and (ii) to locate emission sources. The statistical methods were applied to the mass concentrations of sulphur dioxide (SO{sub 2}), respirable suspended particulates (RSP) and nitrogen dioxide (NO{sub 2}), collected in monitoring network of Hong Kong from January 2001 to December 2007. The results demonstrate that, for each pollutant, the monitoring stations are grouped into different classes based on their air pollution behaviors. The monitoring stations located in nearby area are characterized by the same specific air pollution characteristics and suggested with an effective management of air quality monitoring system. The redundant equipments should be transferred to other monitoring stations for allowing further enlargement of the monitored area. Additionally, the existence of different air pollution behaviors in the monitoring network is explained by the variability of wind directions across the region. The results imply that the air quality problem in Hong Kong is not only a local problem mainly from street-level pollutions, but also a region problem from the Pearl River Delta region. (author)

  9. The Implementation of a Quality Management Standard in a Food SME: A Network Learning Perspective

    Directory of Open Access Journals (Sweden)

    Zam-Zam Abdirahman

    2013-02-01

    Full Text Available In the modern agrifood economies, the development of quality management standards is crucial, and food small and medium enterprises (SMEs usually face difficulties in implementing them. In this context, the aim of the article is two‐fold. Firstly it is to craft an original analytical framework in line with the literature on innovation networks and related learning effects specifically devoted to the study of quality management standards implementation. Secondly the objective of the article is to apply this framework to a specific food SME case in order to test it and to identify the key network learningeffects that occur during the implementation of a quality management standard, namely the ISO 22000 standard for food safety. From this research, the practical output will be to propose tools to enhance food SMEs’ innovative capacity, through an improvement of their insertion in active formal and/or informal innovation networks. These specific tools will be especially targeted towards the strengthening of learning processes between the SME and the partners involved in the implementation.

  10. Quality of service improvement, Handoff Prioritization and Channel utilization for Cellular Network

    Directory of Open Access Journals (Sweden)

    Anoop Kumar Gangwar

    2014-10-01

    Full Text Available In this paper Call admission control (CAC is a significant component in wireless networks to promise quality of service requirements and also to improve the network flexibility. The reliability is measured in terms of quality of service (QoS and grade of service (GoS. GoS is a call‐level factor, which comprises of a new call blocking probability and handoff call blocking probability. So a robust Call Admission and Power Control Mechanism are desired. An admission control method considering the quality of service (QoS requirements is accountable for deciding whether an incoming call/connection can be accepted or not. One major challenge in designing a CAC creates due to the fact that the cellular network has to service two major types of calls: new calls and handoff calls. The QoS performances related to these two types of calls are generally measured by new call blocking probability and handoff call dropping probability. Our work advance the dropping and handoff loss probabilities and present a coherent framework for comparative studies of presented approaches, but also helps future researches and developments of new call admission policies.

  11. Artificial neural networks for defining the water quality determinants of groundwater abstraction in coastal aquifer

    Science.gov (United States)

    Lallahem, S.; Hani, A.

    2017-02-01

    Water sustainability in the lower Seybouse River basin, eastern Algeria, must take into account the importance of water quantity and quality integration. So, there is a need for a better knowledge and understanding of the water quality determinants of groundwater abstraction to meet the municipal and agricultural uses. In this paper, the artificial neural network (ANN) models were used to model and predict the relationship between groundwater abstraction and water quality determinants in the lower Seybouse River basin. The study area chosen is the lower Seybouse River basin and real data were collected from forty five wells for reference year 2006. Results indicate that the feed-forward multilayer perceptron models with back-propagation are useful tools to define and prioritize the important water quality parameters of groundwater abstraction and use. The model evaluation shows that the correlation coefficients are more than 95% for training, verification and testing data. The model aims to link the water quantity and quality with the objective to strengthen the Integrated Water Resources Management approach. It assists water planners and managers to better assess the water quality parameters and progress towards the provision of appropriate quantities of water of suitable quality.

  12. Assessment of the water quality monitoring network of the Piabanha River experimental watersheds in Rio de Janeiro, Brazil, using autoassociative neural networks.

    Science.gov (United States)

    Villas-Boas, Mariana D; Olivera, Francisco; de Azevedo, Jose Paulo S

    2017-09-01

    Water quality monitoring is a complex issue that requires support tools in order to provide information for water resource management. Budget constraints as well as an inadequate water quality network design call for the development of evaluation tools to provide efficient water quality monitoring. For this purpose, a nonlinear principal component analysis (NLPCA) based on an autoassociative neural network was performed to assess the redundancy of the parameters and monitoring locations of the water quality network in the Piabanha River watershed. Oftentimes, a small number of variables contain the most relevant information, while the others add little or no interpretation to the variability of water quality. Principal component analysis (PCA) is widely used for this purpose. However, conventional PCA is not able to capture the nonlinearities of water quality data, while neural networks can represent those nonlinear relationships. The results presented in this work demonstrate that NLPCA performs better than PCA in the reconstruction of the water quality data of Piabanha watershed, explaining most of data variance. From the results of NLPCA, the most relevant water quality parameter is fecal coliforms (FCs) and the least relevant is chemical oxygen demand (COD). Regarding the monitoring locations, the most relevant is Poço Tarzan (PT) and the least is Parque Petrópolis (PP).

  13. Evaluation and temporal evolution of image quality and its dosimetric effect on the dose distributions calculated on megavoltage CT images from tomotherapy unit; Evaluacion y evolucion temporal de la calidad de imagen y su impacto dosimetrico en el calculo de distribuciones realizadas sobre imagenes de megavoltaje de la unidad de tomoterapia

    Energy Technology Data Exchange (ETDEWEB)

    Sanchez Rubio, P.; Castro Tejero, P.; Rodriguez Romero, R.

    2015-05-01

    Over a period of five years the temporal evolution of the image quality parameters and the linearity of the Hounsfield units (HU) of megavoltage studies (MVCT) were analyzed as well as the influence of the actions of the field service engineer. Furthermore the dosimetric impact of HU variation as a result of such actions was studied in three clinical cases (prostate, head and neck, and lung). MVCT images showed an appropriate image quality for image-guided radiotherapy and adaptive radiation therapy despite its lower contrast to noise ratio in comparison to the kilo voltage studies. Because of temporal stability of the linearity between HU and mass density, MVCT studies were appropriate for dose calculation especially to avoid artifacts due to high density metallic structures. Target changes had the largest effect on the imaging parameters analyzed. Variations around 30 and 50 HU for water and bone, respectively, led to a dosimetric error of 1% for the studied locations; while discrepancies about 6% were found as a result of higher HU changes. (Author)

  14. External quality assurance project report for the National Atmospheric Deposition Program’s National Trends Network and Mercury Deposition Network, 2013–14

    Science.gov (United States)

    Wetherbee, Gregory A.; Martin, RoseAnn

    2016-07-05

    The U.S. Geological Survey Branch of Quality Systems operated five distinct programs to provide external quality assurance monitoring for the National Atmospheric Deposition Program’s (NADP) National Trends Network and Mercury Deposition Network during 2013–14. The National Trends Network programs include (1) a field audit program to evaluate sample contamination and stability, (2) an interlaboratory comparison program to evaluate analytical laboratory performance, and (3) a colocated sampler program to evaluate bias from precipitation sampler upgrades. The Mercury Deposition Network programs include the (4) system blank program and (5) an interlaboratory comparison program. The results indicate that NADP data continue to be of sufficient quality for the analysis of spatial distributions and time trends for chemical constituents in wet deposition.

  15. Quality of Protection on WDM networks: A Recovery Probability based approach

    Directory of Open Access Journals (Sweden)

    Marcelo D. Rodas-Brítez

    2015-12-01

    Full Text Available WDM networks survivability needs a flexible quality of protection (QoP due to the variety of existing connection demands, lack of fair resource distributions under traditional QoP and optimal resources assignment. Thus, this paper proposes a new paradigm of QoP based on generic levels of protection where the set of protection levels can be defined as the network administrator needs, i.e., a flexible QoP approach whose particular case is the traditional or non-flexible QoP approach. Essentially, the proposed generic level is based on the recovery probability concept which measures the grade of conflict among primary lightpaths that share backup lighpaths for link failure recovery. In order to study how this strategy impacts on the network cost, a Genetic Algorithm is proposed. It calculates the primary and backup lightpaths, considering a multi-objective optimization on the basis of lexicographical sorting approach. The Genetic Algorithm minimizes the number of blocked requests, the number of services without protection, the total differences between the requested QoP and the assigned QoP, and the network cost; all of which by considering the optical fibers used and subject to the wavelength usage as constraint. The experimental results indicate that the proposed approach --flexible QoP-- is a promising strategy where the network cost, the number of requests and QoP levels are contradictory objective functions in environments with homogeneous and heterogeneous QoP requirements.

  16. Storage Solutions for Power Quality Problems in Cyprus Electricity Distribution Network

    Directory of Open Access Journals (Sweden)

    Andreas Poullikkas

    2014-01-01

    Full Text Available In this work, a prediction of the effects of introducing energy storage systems on the network stability of the distribution network of Cyprus and a comparison in terms of cost with a traditional solution is carried out. In particular, for solving possible overvoltage problems, several scenarios of storage units' installation are used and compared with the alternative solution of extra cable connection between the node with the lowest voltage and the node with the highest voltage of the distribution network. For the comparison, a case study of a typical LV distribution feeder in the power system of Cyprus is used. The results indicated that the performance indicator of each solution depends on the type, the size and the position of installation of the storage unit. Also, as more storage units are installed the better the performance indicator and the more attractive is the investment in storage units to solve power quality problems in the distribution network. In the case where the technical requirements in voltage limitations according to distribution regulations are satisfied with one storage unit, the installation of an additional storage unit will only increase the final cost. The best solution, however, still remains the alternative solution of extra cable connection between the node with the lowest voltage and the node with the highest voltage of the distribution network, due to the lower investment costs compared to that of the storage units.

  17. A Review and Comparison of Quality of Service Routing in Wireless Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    Sunita Prasad

    2011-02-01

    Full Text Available Quality of Service (QoS guarantees must be supported in a network that intends to carry real time andmultimedia traffic. IETF RFC 2386 defines QoS as a set of service requirements to be met by the networkwhile transporting a packet stream from source to the destination. The dynamic network topology andwireless bandwidth sharing makes QoS provisioning far more challenging in wireless networks ascompared to the wired counterparts. The support for the QoS services is underpinned by QoS routing. AQoS routing protocol selects network routes with sufficient resources for the satisfaction of the requestedQoS parameters. The goal of QoS routing is to satisfy the QoS requirements for each admittedconnection, while achieving global efficiency in resource utilization. The problem of QoS routing withmultiple additive constraints is known to be NP-hard. This requires the QoS dynamics to be fullyunderstood before it can be implemented in wireless ad hoc networks. The paper discusses the issuesinvolved in QoS routing and presents an overview and comparison of some existing QoS routingprotocols. The article concludes with some open issues for further investigation.

  18. An Adaptive Failure Detector Based on Quality of Service in Peer-to-Peer Networks

    Directory of Open Access Journals (Sweden)

    Jian Dong

    2014-09-01

    Full Text Available The failure detector is one of the fundamental components that maintain high availability of Peer-to-Peer (P2P networks. Under different network conditions, the adaptive failure detector based on quality of service (QoS can achieve the detection time and accuracy required by upper applications with lower detection overhead. In P2P systems, complexity of network and high churn lead to high message loss rate. To reduce the impact on detection accuracy, baseline detection strategy based on retransmission mechanism has been employed widely in many P2P applications; however, Chen’s classic adaptive model cannot describe this kind of detection strategy. In order to provide an efficient service of failure detection in P2P systems, this paper establishes a novel QoS evaluation model for the baseline detection strategy. The relationship between the detection period and the QoS is discussed and on this basis, an adaptive failure detector (B-AFD is proposed, which can meet the quantitative QoS metrics under changing network environment. Meanwhile, it is observed from the experimental analysis that B-AFD achieves better detection accuracy and time with lower detection overhead compared to the traditional baseline strategy and the adaptive detectors based on Chen’s model. Moreover, B-AFD has better adaptability to P2P network.

  19. Dynamic Routing Algorithm Based on the Channel Quality Control for Farmland Sensor Networks

    Directory of Open Access Journals (Sweden)

    Dongfeng Xu

    2014-04-01

    Full Text Available This article reports a Dynamic Routing Algorithm for Farmland Sensor Networks (DRA-FSN based on channel quality control to improve energy efficiency, which combines the distance and communication characteristics of farmland wireless sensor network. The functional architecture of the DRA-FSN algorithm, routing establish the mechanisms, the communication transmission mechanism, the global routing beacon return mechanism, abnormal node handling mechanism and sensor networks timing control mechanisms were designed in detail in this article. This article also evaluates and simulated the performance of DRA-FSN algorithm in different conditions from energy efficiency, packet energy consumption and packet distribution balance by comparing DRA-FSN algorithm with DSDV, EAP algorithm. Simulations showed that the DRA-FSN was more energy efficient than EAP and DSDV, the DRA-FSN algorithm overcame the shortcoming that capacity and bandwidth of the routing table correspondingly increase as more and more nodes joining the network. It has better performance in scalability and network loading balance

  20. TinyOS-based quality of service management in wireless sensor networks

    Science.gov (United States)

    Peterson, N.; Anusuya-Rangappa, L.; Shirazi, B.A.; Huang, R.; Song, W.-Z.; Miceli, M.; McBride, D.; Hurson, A.; LaHusen, R.

    2009-01-01

    Previously the cost and extremely limited capabilities of sensors prohibited Quality of Service (QoS) implementations in wireless sensor networks. With advances in technology, sensors are becoming significantly less expensive and the increases in computational and storage capabilities are opening the door for new, sophisticated algorithms to be implemented. Newer sensor network applications require higher data rates with more stringent priority requirements. We introduce a dynamic scheduling algorithm to improve bandwidth for high priority data in sensor networks, called Tiny-DWFQ. Our Tiny-Dynamic Weighted Fair Queuing scheduling algorithm allows for dynamic QoS for prioritized communications by continually adjusting the treatment of communication packages according to their priorities and the current level of network congestion. For performance evaluation, we tested Tiny-DWFQ, Tiny-WFQ (traditional WFQ algorithm implemented in TinyOS), and FIFO queues on an Imote2-based wireless sensor network and report their throughput and packet loss. Our results show that Tiny-DWFQ performs better in all test cases. ?? 2009 IEEE.

  1. Real-time transmission of full-motion echocardiography over a high-speed data network: impact of data rate and network quality of service

    Science.gov (United States)

    Main, M. L.; Foltz, D.; Firstenberg, M. S.; Bobinsky, E.; Bailey, D.; Frantz, B.; Pleva, D.; Baldizzi, M.; Meyers, D. P.; Jones, K.; Spence, M. C.; Freeman, K.; Morehead, A.; Thomas, J. D.

    2000-01-01

    With high-resolution network transmission required for telemedicine, education, and guided-image acquisition, the impact of errors and transmission rates on image quality needs evaluation. METHODS: We transmitted clinical echocardiograms from 2 National Aeronautics and Space Administration (NASA) research centers with the use of Motion Picture Expert Group-2 (MPEG-2) encoding and asynchronous transmission mode (ATM) network protocol over the NASA Research and Education Network. Data rates and network quality (cell losses [CLR], errors [CER], and delay variability [CVD]) were altered and image quality was judged. RESULTS: At speeds of 3 to 5 megabits per second (Mbps), digital images were superior to those on videotape; at 2 Mbps, images were equivalent. Increasing CLR caused occasional, brief pauses. Extreme CER and CDV increases still yielded high-quality images. CONCLUSIONS: Real-time echocardiographic acquisition, guidance, and transmission is feasible with the use of MPEG-2 and ATM with broadcast quality seen above 3 Mbps, even with severe network quality degradation. These techniques can be applied to telemedicine and used for planned echocardiography aboard the International Space Station.

  2. Network-State-Aware Quality of Service Provisioning for the Internet of Things

    Directory of Open Access Journals (Sweden)

    Shafique Ahmad Chaudhry

    2016-06-01

    Full Text Available The Internet of Things (IoT describes a diverse range of technologies to enable a diverse range of applications using diverse platforms for communication. IP-enabled Wireless Sensor Networks (6LoWPAN are an integral part of IoT realization because of their huge potential for sensing and communication. The provision of Quality of Service (QoS requirements in IoT is a challenging task because of device heterogeneity in terms of bandwidth, computing and communication capabilities of the diverse set of IoT nodes and networks. The sensor nodes in IoT, e.g., 6LoWPAN, exhibit low battery power, limited bandwidth and extremely constrained computing power. Additionally, these IP-based sensor networks are inherently dynamic in nature due to node failures and mobility. Introduction of modern delay-sensitive applications for such networks has made the QoS provisioning task even harder. In this paper, we present Network-State-Adaptive QoS provision algorithm for 6LoWPAN, which adapts with the changing network state to ensure that QoS requirements are met even with the dynamic network states. It is a policy-based mechanism, which collaborates with the underlying routing protocol to satisfy the QoS requirements specified in the high level policies. It is simple in its implementation yet minimizes the degradation of the best effort traffic at a considerable level. Our implementation results show that our protocol adjusts well in dynamic 6LoWPAN environment where multiple services are competing for available limited resources.

  3. Implementation and evaluation of the quality control program of a system for image guided radiotherapy by megavoltage cone beam; Puesta en marcha y evaluacion del programa de control de calidad de un sistema de haz conico de megavoltaje para radioterapia guiada por la imagen

    Energy Technology Data Exchange (ETDEWEB)

    Castro Tejero, P.; Fernandez Leton, P.; Perez Moreno, J. M.; Zucca Aparicio, D.

    2009-07-01

    The use of image guided radiotherapy is essential in order to ensure the correct positioning of the patient prior to the delivery of the treatment. The most common procedure is the acquisition of two-dimensional orthogonal images that are compared with the corresponding digital images reconstructed by the treatment planning system. A recent technique, known as cone beam computed tomography, consists of three-dimensional image CT acquisition in the accelerator room by cone beam. This set of images is compared with the images used for the treatment planning. In our centre, the implementation of the M Vision system, including both techniques, has been carried out in two accelerators Siemens Oncor Expression. The quality control program associated with the M Vision system is presented in this work. The results obtained over a year since its implantation is also presented. (Author) 12 refs.

  4. Generic index of aquatic vegetation (IVAM) for a rapid assessment of ecological quality of Spanish rivers: taxonomic resolution and application to Castilla-La Mancha region; Indice Generico de Vegetacion Acuatica (IVAM): Propuesta de evaluacion rapida del estado ecologico de los rios ibericos en aplicacion de la Directiva Marco del Agua

    Energy Technology Data Exchange (ETDEWEB)

    Moreno, J. L.; Navarro, C.; Hera, J. de las

    2005-07-01

    The Water Framework Directive proposes the use of aquatic flora as a valid bio indicator for assessing the ecological status of European rivers. Due to the lack of an aquatic vegetation index for Spanish rivers, we present an index to assess trophic status or eutrophication in rivers and streams. Thus, we calculated tolerance scores and indicator values for tax from nutrient levels. the index is called IVAM (Macroscopic Aquatic Vegetation Index). The index takes into account either macrophyte or microphytes (the latter making up macroscopic growth forms) including briophytes. The IVAM showed the best correlation with nutrients besides other quality indices, indicating a solid tool to assess trophic status or eutrophication. (Author) 15 refs.

  5. Evaluation of a integral systems greenhouse - solar dryer for small growers; Evaluacion de un sistema integral invernadero - secadero solar para pequenos productores

    Energy Technology Data Exchange (ETDEWEB)

    Garcia, Victor O; Iriarte, Adolfo A [INENCO, Universidad Nacional de Catamarca, Catamarca (Argentina); Carabajal, Dante; Sabadzija, Gabriela; Tomalino, Luis [E.E.A. INTA, Catamarca, Catamarca (Argentina)

    2000-07-01

    Due to poor yielding capacity in the province of Catamarca, Argentina, it is necessary to improve solar drying systems in order to have a better quality final product. It is also essential to divide the costs of infrastructure with other complementary activities because of the need to make drying methods profitable. The system proposed in this work is a dryer-greenhouse with a double purposed macrotunnel greenhouse: during Winter it is used as a yielding system, and in Summer it is prepared to fulfill the functions of a solar dryer. The crops evaluated in winter were: small vegetable marrow (Curcubita maxima L), melon (Cucumis melo), ad cucumber (Cucuis sativus). Crop cycle, harvest time and tield in Kg/m were determined for each species. The assessment of the dryer was made using pepper for paprika observation of the thermal behavior of the product during drying and its final quality. The product obtained had a very good quality in color, taste and aroma with a classification of extra quality according to the Argentine Nutritional Code and the 7541 ISO Standard. Drying time decreased considerably compared to that observed in open air drying, 1995, 1996 and 1997 campaigns were economically assessed, and an evaluation of investments in five years was also conducted obtaining a positive VAN and a TIR above the cost of the best alternative for money expenditure. This integrated system is valid alternative in a sustainable production for small growers. [Spanish] Debido a las caracteristicas productivas de la Provincia de Catamarca Argentina, es necesario optimizar los procesos del secado solar teniendo en cuenta la calidad final del producto. Ademas, debido a la necesidad de rentabilizar los metodos de secado, imprescindible repartir los costos de infraestructura con otro tipo de actividad complementaria. El sistema propuesto en este trabajo es un invernadero secadero que utiliza un invernadero macrotunel que cumple una doble funcion, durante el invierno se usa como

  6. Adaptive preheating duration control for low-power ambient air quality sensor networks.

    Science.gov (United States)

    Baek, Yoonchul; Atiq, Mahin K; Kim, Hyung Seok

    2014-03-20

    Ceramic gas sensors used for measuring ambient air quality have features suitable for practical applications such as healthcare and air quality management, but have a major drawback-large power consumption to preheat the sensor for accurate measurements. In this paper; the adaptive preheating duration control (APC) method is proposed to reduce the power consumption of ambient air quality sensor networks. APC reduces the duration of unnecessary preheating, thereby alleviating power consumption. Furthermore, the APC can allow systems to meet user requirements such as accuracy and periodicity factor when detecting the concentration of a target gas. A performance evaluation of the power consumption of gas sensors is conducted with various user requirements and factors that affect the preheating duration of the gas sensor. This shows that the power consumption of the APC is lower than that of continuous power supply methods and constant power supply/cutoff methods.

  7. Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks

    Directory of Open Access Journals (Sweden)

    Yoonchul Baek

    2014-03-01

    Full Text Available Ceramic gas sensors used for measuring ambient air quality have features suitable for practical applications such as healthcare and air quality management, but have a major drawback—large power consumption to preheat the sensor for accurate measurements. In this paper; the adaptive preheating duration control (APC method is proposed to reduce the power consumption of ambient air quality sensor networks. APC reduces the duration of unnecessary preheating, thereby alleviating power consumption. Furthermore, the APC can allow systems to meet user requirements such as accuracy and periodicity factor when detecting the concentration of a target gas. A performance evaluation of the power consumption of gas sensors is conducted with various user requirements and factors that affect the preheating duration of the gas sensor. This shows that the power consumption of the APC is lower than that of continuous power supply methods and constant power supply/cutoff methods.

  8. A Water Quality Monitoring Method Based on Fuzzy Comprehensive Evaluation in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Jian Shu

    2012-01-01

    Full Text Available A novel water quality monitoring method named WQMMFCE is proposed based on fuzzy comprehensive evaluation model to solve the issue of high energy consumption caused by centralized approach under the background of water quality monitoring. The weights of all factors which are necessary for fuzzy comprehensive evaluation can be obtained firstly by using the binary expert evaluation. The information needs to transmit is decided according to water quality grade which is quantitatively analyzed directly by using fuzzy comprehensive evaluation rather than transmitting large amount of raw data to the monitoring center. Simulation result shows that the method has a great advantage over the centralized one on energy saving and can prolong the lifetime of the network.

  9. Quality of rivers of the United States, 1975 water year; based on the National Stream Quality Accounting Network (NASQAN)

    Science.gov (United States)

    Briggs, John C.; Ficke, John F.

    1977-01-01

    The National Stream Quality Accounting Network (NASQAN) was established by the U.S. Geological Survey to provide a nationally uniform basis for continuously assessing the quality of U.S. rivers. Stations generally are at the downstream end of hydrologic accounting units in order to measure the quantity and quality of water flowing from the units. The 1975 water year was the first year of operation of the network that represents essentially all of the accounting units and thereby describes the water- quality of the entire country. Data are available on a large number of water-quality constituents measured at 345 stations during the 1975 water year. Temperature data (usually continuous or daily measurements) from NASQAN stations were fitted to a first order harmonic equation and the parameters for the harmonic function are reported for each station. Mean temperatures generally range from 5°-10°C in the North to more than 20°C along the southern border of the continental United States and in Hawaii and Puerto Rico; means were less than 10°C at 63 stations and greater than 25°C at only 7 stations. Amplitudes of the temperature curves are greatest (greater than 12°C) for the streams at midlatitudes and in the Great and Central Plains, and they are smallest for the subtropical and cold-climate streams. Considering chemical and biological characteristics of U.S. streams as described by NASQAN data, water quality is best (by many standards) in the Northeast, Southeast, and Northwest. Waters there generally are low in dissolved solids and major and minor chemical constituents, generally are soft (except in Florida), and carry relatively small amounts of sediment. These conditions mainly reflect the geology of the regions and the relatively large amounts of precipitation. However, many of these waters show the effects of pollution and carry moderate or high levels of major nutrients and have correspondingly high populations of attached and floating plants. High counts

  10. Analyzing Video Streaming Quality by Using Various Error Correction Methods on Mobile Ad hoc Networks in NS2

    Directory of Open Access Journals (Sweden)

    Norrozila Sulaiman

    2014-10-01

    Full Text Available Transmission video over ad hoc networks has become one of the most important and interesting subjects of study for researchers and programmers because of the strong relationship between video applications and frequent users of various mobile devices, such as laptops, PDAs, and mobile phones in all aspects of life. However, many challenges, such as packet loss, congestion (i.e., impairments at the network layer, multipath fading (i.e., impairments at the physical layer [1], and link failure, exist in transferring video over ad hoc networks; these challenges negatively affect the quality of the perceived video [2].This study has investigated video transfer over ad hoc networks. The main challenges of transferring video over ad hoc networks as well as types of errors that may occur during video transmission, various types of video mechanisms, error correction methods, and different Quality of Service (QoS parameters that affect the quality of the received video are also investigated.

  11. Water quality characterization in the Northern Florida everglades based on three different monitoring networks.

    Science.gov (United States)

    Entry, James A

    2013-02-01

    The Loxahatchee National Wildlife Refuge (Refuge) is affected by inflows containing elevated contaminant concentrations originating from agricultural and urban areas. Water quality was determined using three networks: the Northern Refuge (NRN), the Southern Refuge (SRN), and the Consent Decree (CDN) monitoring networks. Within these networks, the Refuge was divided into four zones: (1) the canal zone surrounding the marsh, (2) the perimeter zone (0 to 2.5 km into the marsh), (3) the transition zone (2.5 to 4.5 km into the marsh), and (4) the interior zone (>4.5 km into the marsh). In the NRN, alkalinity (ALK) and conductivity (SpC) and dissolved organic carbon, total organic carbon, total dissolved solids (TDS), Ca, Cl, Si, and SO(4) concentrations were greater in the perimeter zone than in the transition or interior zone. ALK, SpC, and SO(4) concentrations were greater in the transition than in the interior zone. ALK, SpC, and TDS values, Ca, SO(4), and Cl had negative curvilinear relationships with distance from the canal toward the Refuge interior (r(2) = 0.78, 0.67, 0.61, 0.77, 0.62, and 0.57, respectively). ALK, TB and SpC, and Ca and SO(4) concentrations decreased in the canal and perimeter zones from 2005 to 2009. Important water quality assessments using the SRN and CDN cannot be made due to the sparseness and location of sampling sites in these networks. The number and placement monitoring sites in the Refuge requires optimization based on flow pattern, distance from contaminant source, and water volume to determine the effect of canal water intrusion on water quality.

  12. Assessment of groundwater quality: a fusion of geochemical and geophysical information via Bayesian neural networks.

    Science.gov (United States)

    Maiti, Saumen; Erram, V C; Gupta, Gautam; Tiwari, Ram Krishna; Kulkarni, U D; Sangpal, R R

    2013-04-01

    Deplorable quality of groundwater arising from saltwater intrusion, natural leaching and anthropogenic activities is one of the major concerns for the society. Assessment of groundwater quality is, therefore, a primary objective of scientific research. Here, we propose an artificial neural network-based method set in a Bayesian neural network (BNN) framework and employ it to assess groundwater quality. The approach is based on analyzing 36 water samples and inverting up to 85 Schlumberger vertical electrical sounding data. We constructed a priori model by suitably parameterizing geochemical and geophysical data collected from the western part of India. The posterior model (post-inversion) was estimated using the BNN learning procedure and global hybrid Monte Carlo/Markov Chain Monte Carlo optimization scheme. By suitable parameterization of geochemical and geophysical parameters, we simulated 1,500 training samples, out of which 50 % samples were used for training and remaining 50 % were used for validation and testing. We show that the trained model is able to classify validation and test samples with 85 % and 80 % accuracy respectively. Based on cross-correlation analysis and Gibb's diagram of geochemical attributes, the groundwater qualities of the study area were classified into following three categories: "Very good", "Good", and "Unsuitable". The BNN model-based results suggest that groundwater quality falls mostly in the range of "Good" to "Very good" except for some places near the Arabian Sea. The new modeling results powered by uncertainty and statistical analyses would provide useful constrain, which could be utilized in monitoring and assessment of the groundwater quality.

  13. Watersheds for U.S Geological Survey National Stream Quality Accounting Network (NASQAN) sampling sites 1996-2000.

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — A digital representation of the watersheds of 43 sites on large river systems sampled by the National Stream Quality Accounting Network (NASQAN) of the U. S....

  14. Controls of catchments` sub-storage contributions to dynamic water quality patterns in the stream network

    Science.gov (United States)

    Schuetz, Tobias; Maike Hegenauer, Anja

    2016-04-01

    Water quality is usually observed either continuously at a few stations within a catchment or with few snapshot sampling campaigns throughout the whole stream network. Although we know that the depletion of catchment sub-storages can vary throughout the stream network according to their actual water content (spatial variability of actual storage conditions can be caused amongst others by unevenly distributed rainfall, storage size or spatial differences in soil characteristics and land use), we know little about the impact of this process on spatial water quality patterns. For summer low flow recession periods, when stream water composition can be crucial for aquatic ecosystem conditions and the exceedance of water quality thresholds, knowledge on the controls of the dynamic interplay of catchment storages and stream water composition might improve water quality management and the implementation of corresponding mitigation measures. We studied this process throughout the stream network of a first-order agricultural headwater catchment in south-western Germany during two summer low flow recession periods. The underlying geology of the study area is a deep layer of aeolian loess, whilst the dominating soil is a silty calcaric regosol with gleizations in the colluvium. The land use in the catchment is dominated by viniculture (63 %) and arable crops (18 %). Due to the dense drainpipe network within the catchment we could identify 12 sub-catchments contributing during summer low flow recession periods to total stream discharge. We continuously observed discharge, electrical conductivity and water temperatures for 8 of the sub-catchments and at the catchment outlet. This data set was accomplished by 10 snapshot campaigns where we sampled for water temperatures, electrical conductivity, major ions, pH and O2 throughout the stream network. Using either discharge concentration relationships or time dependent functions, we derived continuous export rates for all measures in

  15. Congestion Prediction Modeling for Quality of Service Improvement in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Ga-Won Lee

    2014-04-01

    Full Text Available Information technology (IT is pushing ahead with drastic reforms of modern life for improvement of human welfare. Objects constitute “Information Networks” through smart, self-regulated information gathering that also recognizes and controls current information states in Wireless Sensor Networks (WSNs. Information observed from sensor networks in real-time is used to increase quality of life (QoL in various industries and daily life. One of the key challenges of the WSNs is how to achieve lossless data transmission. Although nowadays sensor nodes have enhanced capacities, it is hard to assure lossless and reliable end-to-end data transmission in WSNs due to the unstable wireless links and low hard ware resources to satisfy high quality of service (QoS requirements. We propose a node and path traffic prediction model to predict and minimize the congestion. This solution includes prediction of packet generation due to network congestion from both periodic and event data generation. Simulation using NS-2 and Matlab is used to demonstrate the effectiveness of the proposed solution.

  16. Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors

    Directory of Open Access Journals (Sweden)

    N. Sriraam

    2011-01-01

    Full Text Available A telemedicine system using communication and information technology to deliver medical signals such as ECG, EEG for long distance medical services has become reality. In either the urgent treatment or ordinary healthcare, it is necessary to compress these signals for the efficient use of bandwidth. This paper discusses a quality on demand compression of EEG signals using neural network predictors for telemedicine applications. The objective is to obtain a greater compression gains at a low bit rate while preserving the clinical information content. A two-stage compression scheme with a predictor and an entropy encoder is used. The residue signals obtained after prediction is first thresholded using various levels of thresholds and are further quantized and then encoded using an arithmetic encoder. Three neural network models, single-layer and multi-layer perceptrons and Elman network are used and the results are compared with linear predictors such as FIR filters and AR modeling. The fidelity of the reconstructed EEG signal is assessed quantitatively using parameters such as PRD, SNR, cross correlation and power spectral density. It is found from the results that the quality of the reconstructed signal is preserved at a low PRD thereby yielding better compression results compared to results obtained using lossless scheme.

  17. Measurement and Analysis of Quality of Service of Mobile Networks in Afghanistan – End User Perspective

    Directory of Open Access Journals (Sweden)

    M. A.

    2016-12-01

    Full Text Available Enhanced Quality of Service (QoS and satisfaction of mobile phone user are major concerns of a service provider. In order to manage network efficiently and to provide enhanced end – to – end Quality of Experience (QoE, operator is expected to measure and analyze QoS from various perspectives and at different relevant points of network. The scope of this paper is measurement and statistically analysis of QoS of mobile networks from end user perspective in Afghanistan. The study is based on primary data collected on random basis from 1,515 mobile phone users of five cellular operators. The paper furthermore proposes adequate technical solutions to mobile operators in order to address existing challenges in the area of QoS and to remain competitive in the market. Based on the result of processed data, considering geographical locations, population and telecom regulations of the government, authors recommend deployment of small cells (SCs, increasing number of regular performance tests, optimal placement of base stations, increasing number of carriers, and high order sectorization as proposed technical solutions.

  18. Constructing Ecological Networks Based on Habitat Quality Assessment: A Case Study of Changzhou, China

    Science.gov (United States)

    Gao, Yu; Ma, Lei; Liu, Jiaxun; Zhuang, Zhuzhou; Huang, Qiuhao; Li, Manchun

    2017-01-01

    Fragmentation and reduced continuity of habitat patches threaten the environment and biodiversity. Recently, ecological networks are increasingly attracting the attention of researchers as they provide fundamental frameworks for environmental protection. This study suggests a set of procedures to construct an ecological network. First, we proposed a method to construct a landscape resistance surface based on the assessment of habitat quality. Second, to analyze the effect of the resistance surface on corridor simulations, we used three methods to construct resistance surfaces: (1) the method proposed in this paper, (2) the entropy coefficient method, and (3) the expert scoring method. Then, we integrated habitat patches and resistance surfaces to identify potential corridors using graph theory. These procedures were tested in Changzhou, China. Comparing the outputs of using different resistance surfaces demonstrated that: (1) different landscape resistance surfaces contribute to how corridors are identified, but only slightly affect the assessment of the importance of habitat patches and potential corridors; (2) the resistance surface, which is constructed based on habitat quality, is more applicable to corridor simulations; and (3) the assessment of the importance of habitat patches is fundamental for ecological network optimization in the conservation of critical habitat patches and corridors. PMID:28393879

  19. Constructing Ecological Networks Based on Habitat Quality Assessment: A Case Study of Changzhou, China

    Science.gov (United States)

    Gao, Yu; Ma, Lei; Liu, Jiaxun; Zhuang, Zhuzhou; Huang, Qiuhao; Li, Manchun

    2017-04-01

    Fragmentation and reduced continuity of habitat patches threaten the environment and biodiversity. Recently, ecological networks are increasingly attracting the attention of researchers as they provide fundamental frameworks for environmental protection. This study suggests a set of procedures to construct an ecological network. First, we proposed a method to construct a landscape resistance surface based on the assessment of habitat quality. Second, to analyze the effect of the resistance surface on corridor simulations, we used three methods to construct resistance surfaces: (1) the method proposed in this paper, (2) the entropy coefficient method, and (3) the expert scoring method. Then, we integrated habitat patches and resistance surfaces to identify potential corridors using graph theory. These procedures were tested in Changzhou, China. Comparing the outputs of using different resistance surfaces demonstrated that: (1) different landscape resistance surfaces contribute to how corridors are identified, but only slightly affect the assessment of the importance of habitat patches and potential corridors; (2) the resistance surface, which is constructed based on habitat quality, is more applicable to corridor simulations; and (3) the assessment of the importance of habitat patches is fundamental for ecological network optimization in the conservation of critical habitat patches and corridors.

  20. Social networks, social support mechanisms, and quality of life after breast cancer diagnosis.

    Science.gov (United States)

    Kroenke, Candyce H; Kwan, Marilyn L; Neugut, Alfred I; Ergas, Isaac J; Wright, Jaime D; Caan, Bette J; Hershman, Dawn; Kushi, Lawrence H

    2013-06-01

    We examined mechanisms through which social relationships influence quality of life (QOL) in breast cancer survivors. This study included 3,139 women from the Pathways Study who were diagnosed with breast cancer from 2006 to 2011 and provided data on social networks (the presence of a spouse or intimate partner, religious/social ties, volunteering, and numbers of close friends and relatives), social support (tangible support, emotional/informational support, affection, positive social interaction), and QOL, measured by the FACT-B, approximately 2 months post diagnosis. We used logistic models to evaluate associations between social network size, social support, and lower versus higher than median QOL scores. We further stratified by stage at diagnosis and treatment. In multivariate-adjusted analyses, women who were characterized as socially isolated had significantly lower FACT-B (OR = 2.18, 95 % CI: 1.72-2.77), physical well-being (WB) (OR = 1.61, 95 % CI: 1.27-2.03), functional WB (OR = 2.08, 95 % CI: 1.65-2.63), social WB (OR = 3.46, 95 % CI: 2.73-4.39), and emotional WB (OR = 1.67, 95 % CI: 1.33-2.11) scores and higher breast cancer symptoms (OR = 1.48, 95 % CI: 1.18-1.87) compared with socially integrated women. Each social network member independently predicted higher QOL. Simultaneous adjustment for social networks and social support partially attenuated associations between social networks and QOL. The strongest mediator and type of social support that was most predictive of QOL outcomes was "positive social interaction." However, each type of support was important depending on outcome, stage, and treatment status. Larger social networks and greater social support were related to higher QOL after a diagnosis of breast cancer. Effective social support interventions need to evolve beyond social-emotional interventions and need to account for disease severity and treatment status.

  1. Evaluacion sensorial de arroz biofortificado, variedad IDIAP Santa Cruz 11, en granjas autosostenibles del Patronato de Nutricion en la Provincia de Cocle, Panama

    National Research Council Canada - National Science Library

    Camargo Buitrago, Ismael; Henriquez, Teresita; Montenegro, Salvador; Vergara de Caballero, Eira; Espinosa, Juan; Vergara, Omaris; Mojica de Torres, Eyra

    2011-01-01

    .... En cada comunidad 30 madres de familias participaron en la evaluacion. Para el analisis sensorial se utilizo la prueba discriminativa triangular, en la que las madres de familia debian identificar la muestra...

  2. Evaluacion de las condiciones de mezcla y su influencia sobre el cloro residual en tanques de compensacion de un sistema de distribucion de agua potable

    National Research Council Canada - National Science Library

    Montoya, C; Cruz, C.H; Torres, P; Lain, S; Escobar, J.C

    2012-01-01

    Se llevo a cabo una evaluacion a escala real de las condiciones de mezcla y su influencia sobre la calidad del agua en un tanque de compensacion del sistema de distribucion de agua potable de la ciudad de Cali (Colombia...

  3. The WHO AFRO external quality assessment programme (EQAP: Linking laboratory networks through EQA programmes

    Directory of Open Access Journals (Sweden)

    Debrah I. Boeras

    2016-10-01

    Full Text Available External Quality Assessment (EQA surveys performed by the World Health Organization Regional Office for Africa (WHO AFRO revealed the need for the strengthening of publichealth microbiology laboratories, particularly for testing of epidemic-prone diseases in theAfrican Region. These surveys revealed common issues such as supply chain managementskilled personnel, logistical support and overall lack of quality standards. For sustainableimprovements to health systems as well as global health security, deficiencies identified needto be actively corrected through robust quality assurance programmes and implementation oflaboratory quality management systems.Given all the pathogens of public health importance, an external quality assessment programmewith a focus on vaccine-preventable diseases and emerging and re-emerging dangerouspathogens is important, and should not be stand-alone, but integrated within laboratorynetworks as seen in polio, measles, yellow fever and rubella.In 2015, WHO AFRO collaborated with the US Centers for Disease Control and Preventionthe London School of Hygiene & Tropical Medicine and partners in a series of consultationswith countries and national and regional EQA providers for the development of qualityassurance models to support HIV point-of-care testing and monitoring. These consultationsrevealed similar challenges as seen in the WHO AFRO surveys. WHO AFRO brought forthits experience in implementing quality standards for health programmes, and also openeddiscussions on how lessons learned through such established programmes can be utilised tosupporting and strengthening the introduction of early infant diagnosis of HIV and viralload point-of-care testing.An optimised external quality assessment programme will impact the ability of countries tomeet core capacities, providing improved quality management systems, improving theconfidence of diagnostic network services in Africa, and including capacities to detect eventsof

  4. Utah's Regional/Urban ANSS Seismic Network---Strategies and Tools for Quality Performance

    Science.gov (United States)

    Burlacu, R.; Arabasz, W. J.; Pankow, K. L.; Pechmann, J. C.; Drobeck, D. L.; Moeinvaziri, A.; Roberson, P. M.; Rusho, J. A.

    2007-05-01

    The University of Utah's regional/urban seismic network (224 stations recorded: 39 broadband, 87 strong-motion, 98 short-period) has become a model for locally implementing the Advanced National Seismic System (ANSS) because of successes in integrating weak- and strong-motion recording and in developing an effective real-time earthquake information system. Early achievements included implementing ShakeMap, ShakeCast, point-to- multipoint digital telemetry, and an Earthworm Oracle database, as well as in-situ calibration of all broadband and strong-motion stations and submission of all data and metadata into the IRIS DMC. Regarding quality performance, our experience as a medium-size regional network affirms the fundamental importance of basics such as the following: for data acquisition, deliberate attention to high-quality field installations, signal quality, and computer operations; for operational efficiency, a consistent focus on professional project management and human resources; and for customer service, healthy partnerships---including constant interactions with emergency managers, engineers, public policy-makers, and other stakeholders as part of an effective state earthquake program. (Operational cost efficiencies almost invariably involve trade-offs between personnel costs and the quality of hardware and software.) Software tools that we currently rely on for quality performance include those developed by UUSS (e.g., SAC and shell scripts for estimating local magnitudes) and software developed by other organizations such as: USGS (Earthworm), University of Washington (interactive analysis software), ISTI (SeisNetWatch), and IRIS (PDCC, BUD tools). Although there are many pieces, there is little integration. One of the main challenges we face is the availability of a complete and coherent set of tools for automatic and post-processing to assist in achieving the goals/requirements set forth by ANSS. Taking our own network---and ANSS---to the next level

  5. A comparison of two types of neural network for weld quality prediction in small scale resistance spot welding

    Science.gov (United States)

    Wan, Xiaodong; Wang, Yuanxun; Zhao, Dawei; Huang, YongAn

    2017-09-01

    Our study aims at developing an effective quality monitoring system in small scale resistance spot welding of titanium alloy. The measured electrical signals were interpreted in combination with the nugget development. Features were extracted from the dynamic resistance and electrode voltage curve. A higher welding current generally indicated a lower overall dynamic resistance level. A larger electrode voltage peak and higher change rate of electrode voltage could be detected under a smaller electrode force or higher welding current condition. Variation of the extracted features and weld quality was found more sensitive to the change of welding current than electrode force. Different neural network model were proposed for weld quality prediction. The back propagation neural network was more proper in failure load estimation. The probabilistic neural network model was more appropriate to be applied in quality level classification. A real-time and on-line weld quality monitoring system may be developed by taking advantages of both methods.

  6. Qualities and Inequalities in Online Social Networks through the Lens of the Generalized Friendship Paradox.

    Science.gov (United States)

    Momeni, Naghmeh; Rabbat, Michael

    2016-01-01

    The friendship paradox is the phenomenon that in social networks, people on average have fewer friends than their friends do. The generalized friendship paradox is an extension to attributes other than the number of friends. The friendship paradox and its generalized version have gathered recent attention due to the information they provide about network structure and local inequalities. In this paper, we propose several measures of nodal qualities which capture different aspects of their activities and influence in online social networks. Using these measures we analyse the prevalence of the generalized friendship paradox over Twitter and we report high levels of prevalence (up to over 90% of nodes). We contend that this prevalence of the friendship paradox and its generalized version arise because of the hierarchical nature of the connections in the network. This hierarchy is nested as opposed to being star-like. We conclude that these paradoxes are collective phenomena not created merely by a minority of well-connected or high-attribute nodes. Moreover, our results show that a large fraction of individuals can experience the generalized friendship paradox even in the absence of a significant correlation between degrees and attributes.

  7. A social network's changing statistical properties and the quality of human innovation

    Science.gov (United States)

    Uzzi, Brian

    2008-06-01

    We examined the entire network of creative artists that made Broadway musicals, in the post-War period, a collaboration network of international acclaim and influence, with an eye to investigating how the network's structural features condition the relationship between individual artistic talent and the success of their musicals. Our findings show that some of the evolving topographical qualities of degree distributions, path lengths and assortativity are relatively stable with time even as collaboration patterns shift, which suggests their changes are only minimally associated with the ebb and flux of the success of new productions. In contrast, the clustering coefficient changed substantially over time and we found that it had a nonlinear association with the production of financially and artistically successful shows. When the clustering coefficient ratio is low or high, the financial and artistic success of the industry is low, while an intermediate level of clustering is associated with successful shows. We supported these findings with sociological theory on the relationship between social structure and collaboration and with tests of statistical inference. Our discussion focuses on connecting the statistical properties of social networks to their performance and the performance of the actors embedded within them.

  8. Quality-of-Service Routing Using Path and Power Aware Techniques in Mobile Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    R. Asokan

    2008-01-01

    Full Text Available Mobile ad hoc network (MANET is a collection of wireless mobile hosts dynamically forming a temporary network without the aid of any existing established infrastructure. Quality of service (QoS is a set of service requirements that needs to be met by the network while transporting a packet stream from a source to its destination. QoS support MANETs is a challenging task due to the dynamic topology and limited resources. The main objective of this paper is to enhance the QoS routing for MANET using temporally ordered routing algorithm (TORA with self-healing and optimized routing techniques (SHORT. SHORT improves routing optimality by monitoring routing paths continuously and redirecting the path whenever a shortcut path is available. In this paper, the performance comparison of TORA and TORA with SHORT has been analyzed using network simulator for various parameters. TORA with SHORT enhances performance of TORA in terms of throughput, packet loss, end-to-end delay, and energy.

  9. Flexible quality of service model for wireless body area sensor networks.

    Science.gov (United States)

    Liao, Yangzhe; Leeson, Mark S; Higgins, Matthew D

    2016-03-01

    Wireless body area sensor networks (WBASNs) are becoming an increasingly significant breakthrough technology for smart healthcare systems, enabling improved clinical decision-making in daily medical care. Recently, radio frequency ultra-wideband technology has developed substantially for physiological signal monitoring due to its advantages such as low-power consumption, high transmission data rate, and miniature antenna size. Applications of future ubiquitous healthcare systems offer the prospect of collecting human vital signs, early detection of abnormal medical conditions, real-time healthcare data transmission and remote telemedicine support. However, due to the technical constraints of sensor batteries, the supply of power is a major bottleneck for healthcare system design. Moreover, medium access control (MAC) needs to support reliable transmission links that allow sensors to transmit data safely and stably. In this Letter, the authors provide a flexible quality of service model for ad hoc networks that can support fast data transmission, adaptive schedule MAC control, and energy efficient ubiquitous WBASN networks. Results show that the proposed multi-hop communication ad hoc network model can balance information packet collisions and power consumption. Additionally, wireless communications link in WBASNs can effectively overcome multi-user interference and offer high transmission data rates for healthcare systems.

  10. Use of neural networks for monitoring surface water quality changes in a neotropical urban stream.

    Science.gov (United States)

    da Costa, Andréa Oliveira Souza; Silva, Priscila Ferreira; Sabará, Millôr Godoy; da Costa, Esly Ferreira

    2009-08-01

    This paper reports the using of neural networks for water quality analysis in a tropical urban stream before (2002) and after sewerage building and the completion of point-source control-based sanitation program (2003). Mathematical modeling divided water quality data in two categories: (a) input of some in situ water quality variables (temperature, pH, O2 concentration, O2 saturation and electrical conductivity) and (b) water chemical composition (N-NO2(-); N-NO3(-); N-NH4(+) Total-N; P-PO4(3-); K+; Ca2+; Mg+2; Cu2+; Zn2+ and Fe+3) as the output from tested models. Stream water data come from fortnightly sampling in five points along the Ipanema stream (Southeast Brazil, Minas Gerais state) plus two points downstream and upstream Ipanema discharge into Doce River. Once the best models are consistent with variables behavior we suggest that neural networking shows potential as a methodology to enhance guidelines for urban streams restoration, conservation and management.

  11. Classifying Sources Influencing Indoor Air Quality (IAQ Using Artificial Neural Network (ANN

    Directory of Open Access Journals (Sweden)

    Shaharil Mad Saad

    2015-05-01

    Full Text Available Monitoring indoor air quality (IAQ is deemed important nowadays. A sophisticated IAQ monitoring system which could classify the source influencing the IAQ is definitely going to be very helpful to the users. Therefore, in this paper, an IAQ monitoring system has been proposed with a newly added feature which enables the system to identify the sources influencing the level of IAQ. In order to achieve this, the data collected has been trained with artificial neural network or ANN—a proven method for pattern recognition. Basically, the proposed system consists of sensor module cloud (SMC, base station and service-oriented client. The SMC contain collections of sensor modules that measure the air quality data and transmit the captured data to base station through wireless network. The IAQ monitoring system is also equipped with IAQ Index and thermal comfort index which could tell the users about the room’s conditions. The results showed that the system is able to measure the level of air quality and successfully classify the sources influencing IAQ in various environments like ambient air, chemical presence, fragrance presence, foods and beverages and human activity.

  12. Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN).

    Science.gov (United States)

    Saad, Shaharil Mad; Andrew, Allan Melvin; Shakaff, Ali Yeon Md; Saad, Abdul Rahman Mohd; Kamarudin, Azman Muhamad Yusof; Zakaria, Ammar

    2015-05-20

    Monitoring indoor air quality (IAQ) is deemed important nowadays. A sophisticated IAQ monitoring system which could classify the source influencing the IAQ is definitely going to be very helpful to the users. Therefore, in this paper, an IAQ monitoring system has been proposed with a newly added feature which enables the system to identify the sources influencing the level of IAQ. In order to achieve this, the data collected has been trained with artificial neural network or ANN--a proven method for pattern recognition. Basically, the proposed system consists of sensor module cloud (SMC), base station and service-oriented client. The SMC contain collections of sensor modules that measure the air quality data and transmit the captured data to base station through wireless network. The IAQ monitoring system is also equipped with IAQ Index and thermal comfort index which could tell the users about the room's conditions. The results showed that the system is able to measure the level of air quality and successfully classify the sources influencing IAQ in various environments like ambient air, chemical presence, fragrance presence, foods and beverages and human activity.

  13. Improve power quality of coal mine power network based on gray system theory

    Institute of Scientific and Technical Information of China (English)

    ZHU En-guo; YANG Gong-xun; XU Shu-ge; MA Gui-cun

    2007-01-01

    Unified Power Quality Controller(UPQC) was proposed to comprehensively improve power quality of coal mine power network and its basic structure and operation principle was introduced. In order to overcome time lag of Active Power Filter(APF) in compensating harmonic and reactive current, a novel method based on gray system theory was proposed to predict harmonic current and other distortion component. The mathematical model of component to be compensated was constructed by data sequence of distortion component, which could exactly forecast compensation signal of next period.The optimal control strategy was selected according to the principle of output signal approaching component to be compensated as near as possible. Before predicating each time the oldest data was eliminated while the latest data was added to data sequence.Then new predication model was established once again. The results show that the method can always construct mathematical model with variation of system parameters, reflect the latest state of system and not increase calculation quantity. The feasible and effective control strategy can improve power quality of coal mine power network.

  14. A Quality-Control-Oriented Database for a Mesoscale Meteorological Observation Network

    Science.gov (United States)

    Lussana, C.; Ranci, M.; Uboldi, F.

    2012-04-01

    In the operational context of a local weather service, data accessibility and quality related issues must be managed by taking into account a wide set of user needs. This work describes the structure and the operational choices made for the operational implementation of a database system storing data from highly automated observing stations, metadata and information on data quality. Lombardy's environmental protection agency, ARPA Lombardia, manages a highly automated mesoscale meteorological network. A Quality Assurance System (QAS) ensures that reliable observational information is collected and disseminated to the users. The weather unit in ARPA Lombardia, at the same time an important QAS component and an intensive data user, has developed a database specifically aimed to: 1) providing quick access to data for operational activities and 2) ensuring data quality for real-time applications, by means of an Automatic Data Quality Control (ADQC) procedure. Quantities stored in the archive include hourly aggregated observations of: precipitation amount, temperature, wind, relative humidity, pressure, global and net solar radiation. The ADQC performs several independent tests on raw data and compares their results in a decision-making procedure. An important ADQC component is the Spatial Consistency Test based on Optimal Interpolation. Interpolated and Cross-Validation analysis values are also stored in the database, providing further information to human operators and useful estimates in case of missing data. The technical solution adopted is based on a LAMP (Linux, Apache, MySQL and Php) system, constituting an open source environment suitable for both development and operational practice. The ADQC procedure itself is performed by R scripts directly interacting with the MySQL database. Users and network managers can access the database by using a set of web-based Php applications.

  15. Mutual Information in the Air Quality Monitoring Network of Bogota - Colombia

    Science.gov (United States)

    Guerrero, O. J.; Jimenez-Pizarro, R.

    2012-12-01

    Large urban areas in the developing world are characterized by high population density and a great variety of activities responsible for emission of trace gases and particulate matter to the atmosphere. In general, these pollutants are unevenly distributed over cities according to the location of sources, meteorological variability and geographical features. Urban air quality monitoring networks are primarily designed to protect public health. The meteorological and air quality information gathered by monitoring networks can also be used to understand pollutant sources, sinks, and dispersion processes and to assess the spatial coverage of the network itself. Several statistical and numerical simulation methods allow for the identification of the domain that influences observations at each of the stations, i.e, the zone and respective population truly covered by the measurements. We focused on Bogota, Colombia, a dense city of approximately 9.6 million inhabitants in its metropolitan area. We analyzed the measurements obtained by the Bogotá Air Quality Monitoring Network (RMCAB) between the years 1997 and 2010 for TSP, PM10, CO, NOx and O3. RMCAB is composed of 16 stations, 13 of which are fixed and measure both atmospheric pollutants and meteorological variables. The method applied consisted of a statistical approach based on the mutual information that each station shares with its complement, i.e. the set formed by the other stations of the network. In order to improve our understanding and interpretation of the results, virtual data created for selected receptors along a simple modeled Gaussian plume spreading throughout Bogotá was analyzed. In this Gaussian model, we accounted for the prevailing weather conditions of this city and for different emission features under which the pollutants are emitted. The spatial location of the monitoring stations and emission sources, and the quality of the measurements are relevant factors when assessing the mutual

  16. Survey on Wireless Sensor Network Technologies for Industrial Automation: The Security and Quality of Service Perspectives

    Directory of Open Access Journals (Sweden)

    Delphine Christin

    2010-04-01

    Full Text Available Wireless Sensor Networks (WSNs are gradually adopted in the industrial world due to their advantages over wired networks. In addition to saving cabling costs, WSNs widen the realm of environments feasible for monitoring. They thus add sensing and acting capabilities to objects in the physical world and allow for communication among these objects or with services in the future Internet. However, the acceptance of WSNs by the industrial automation community is impeded by open issues, such as security guarantees and provision of Quality of Service (QoS. To examine both of these perspectives, we select and survey relevant WSN technologies dedicated to industrial automation. We determine QoS requirements and carry out a threat analysis, which act as basis of our evaluation of the current state-of-the-art. According to the results of this evaluation, we identify and discuss open research issues.

  17. Collaborative Catchment-Scale Water Quality Management using Integrated Wireless Sensor Networks

    Science.gov (United States)

    Zia, Huma; Harris, Nick; Merrett, Geoff

    2013-04-01

    Electronics and Computer Science, University of Southampton, United Kingdom Summary The challenge of improving water quality (WQ) is a growing global concern [1]. Poor WQ is mainly attributed to poor water management and outdated agricultural activities. We propose that collaborative sensor networks spread across an entire catchment can allow cooperation among individual activities for integrated WQ monitoring and management. We show that sharing information on critical parameters among networks of water bodies and farms can enable identification and quantification of the contaminant sources, enabling better decision making for agricultural practices and thereby reducing contaminants fluxes. Motivation and results Nutrient losses from land to water have accelerated due to agricultural and urban pursuits [2]. In many cases, the application of fertiliser can be reduced by 30-50% without any loss of yield [3]. Thus information about nutrient levels and trends around the farm can improve agricultural practices and thereby reduce water contamination. The use of sensor networks for monitoring WQ in a catchment is in its infancy, but more applications are being tested [4]. However, these are focussed on local requirements and are mostly limited to water bodies. They have yet to explore the use of this technology for catchment-scale monitoring and management decisions, in an autonomous and dynamic manner. For effective and integrated WQ management, we propose a system that utilises local monitoring networks across a catchment, with provision for collaborative information sharing. This system of networks shares information about critical events, such as rain or flooding. Higher-level applications make use of this information to inform decisions about nutrient management, improving the quality of monitoring through the provision of richer datasets of catchment information to local networks. In the full paper, we present example scenarios and analyse how the benefits of

  18. Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks

    Directory of Open Access Journals (Sweden)

    Krystel K. Castillo-Villar

    2016-03-01

    Full Text Available Logging residues, which refer to the unused portions of trees cut during logging, are important sources of biomass for the emerging biofuel industry and are critical feedstocks for the first-type biofuel facilities (e.g., corn-ethanol facilities. Logging residues are under-utilized sources of biomass for energetic purposes. To support the scaling-up of the bioenergy industry, it is essential to design cost-effective biofuel supply chains that not only minimize costs, but also consider the biomass quality characteristics. The biomass quality is heavily dependent upon the moisture and the ash contents. Ignoring the biomass quality characteristics and its intrinsic costs may yield substantial economic losses that will only be discovered after operations at a biorefinery have begun. This paper proposes a novel bioenergy supply chain network design model that minimizes operational costs and includes the biomass quality-related costs. The proposed model is unique in the sense that it supports decisions where quality is not unrealistically assumed to be perfect. The effectiveness of the proposed methodology is proven by assessing a case study in the state of Tennessee, USA. The results demonstrate that the ash and moisture contents of logging residues affect the performance of the supply chain (in monetary terms. Higher-than-target moisture and ash contents incur in additional quality-related costs. The quality-related costs in the optimal solution (with final ash content of 1% and final moisture of 50% account for 27% of overall supply chain cost. Based on the numeral experimentation, the total supply chain cost increased 7%, on average, for each additional percent in the final ash content.

  19. A method of groundwater quality assessment based on fuzzy network-CANFIS and geographic information system (GIS)

    Science.gov (United States)

    Gholami, V.; Khaleghi, M. R.; Sebghati, M.

    2016-12-01

    The process of water quality testing is money/time-consuming, quite important and difficult stage for routine measurements. Therefore, use of models has become commonplace in simulating water quality. In this study, the coactive neuro-fuzzy inference system (CANFIS) was used to simulate groundwater quality. Further, geographic information system (GIS) was used as the pre-processor and post-processor tool to demonstrate spatial variation of groundwater quality. All important factors were quantified and groundwater quality index (GWQI) was developed. The proposed model was trained and validated by taking a case study of Mazandaran Plain located in northern part of Iran. The factors affecting groundwater quality were the input variables for the simulation, whereas GWQI index was the output. The developed model was validated to simulate groundwater quality. Network validation was performed via comparison between the estimated and actual GWQI values. In GIS, the study area was separated to raster format in the pixel dimensions of 1 km and also by incorporation of input data layers of the Fuzzy Network-CANFIS model; the geo-referenced layers of the effective factors in groundwater quality were earned. Therefore, numeric values of each pixel with geographical coordinates were entered to the Fuzzy Network-CANFIS model and thus simulation of groundwater quality was accessed in the study area. Finally, the simulated GWQI indices using the Fuzzy Network-CANFIS model were entered into GIS, and hence groundwater quality map (raster layer) based on the results of the network simulation was earned. The study's results confirm the high efficiency of incorporation of neuro-fuzzy techniques and GIS. It is also worth noting that the general quality of the groundwater in the most studied plain is fairly low.

  20. A Method for Evaluation of Quality of Service in Computer Networks

    DEFF Research Database (Denmark)

    Bujlow, Tomasz; Hald, Sara Ligaard; Riaz, M. Tahir

    2012-01-01

    was to collect and to provide to C5.0 high-quality training data divided into groups, which correspond to different types of applications. It was found that the currently existing means of collecting data (classification by ports, Deep Packet Inspection, statistical classification, public data sources......) are not sufficient and they do not comply with the required standards. We developed a new system to collect training data, in which the major role is performed by volunteers. Client applications installed on volunteers' computers collect the detailed data about each flow passing through the network interface...

  1. PROCORAD. An international network for quality control; PROCORAD. Ein internationales Netzwerk zur Qualitaetssicherung

    Energy Technology Data Exchange (ETDEWEB)

    Berard, Philippe [CEA/Direction des Sciences du Vivant, Fontenay-aux-Roses CEDEX (France). Unite PROSITON; Hill, Peter [Forschungszentrum Juelich GmbH (Germany); Kehagia, Konstantina [Greek Atomic Energy Commission, Agia Paraskevi (Greece)

    2011-07-01

    Intercomparisons in the testing field of in-vitro monitoring are an essential tool of quality control. The international network PROCORAD provides its members with annual inter-laboratory comparisons on nine different kinds of samples. They include different matrices (urine, faeces) as well as different radionuclides (e.g. tritium, strontium, polonium, actinides..). In 2010 there were 71 participating laboratories from 21 countries. An annual meeting of the participants offers the opportunity to discuss the results as well as an opportunity to relate to other participants, which is important for both scientific exchange and cross-border emergency response. (orig.)

  2. "Good Practice" School Advisors in Greek Education: The Difficulty in Linking Collaborative Networks, Communities of Practice and Quality Culture

    Science.gov (United States)

    Stamelos, Georgios; Bartzakli, Marianna

    2013-01-01

    Quality in education is considered to be a central aim as far as the formation and the implementation of educational policy worldwide is concerned. The basic prerequisite for it, though, is quality culture. Collaborative networks between school advisors and primary school teachers are examined to reveal how they can affect the formation of…

  3. "Good Practice" School Advisors in Greek Education: The Difficulty in Linking Collaborative Networks, Communities of Practice and Quality Culture

    Science.gov (United States)

    Stamelos, Georgios; Bartzakli, Marianna

    2013-01-01

    Quality in education is considered to be a central aim as far as the formation and the implementation of educational policy worldwide is concerned. The basic prerequisite for it, though, is quality culture. Collaborative networks between school advisors and primary school teachers are examined to reveal how they can affect the formation of…

  4. AEROCAN, the Canadian sub-network of AERONET: Aerosol monitoring and air quality applications

    Science.gov (United States)

    Sioris, Christopher E.; Abboud, Ihab; Fioletov, Vitali E.; McLinden, Chris A.

    2017-10-01

    Previous studies have demonstrated the utility of AERONET (Aerosol Robotic Network) aerosol optical depth (AOD) data for monitoring the spatial variability of particulate matter (PM) in relatively polluted regions of the globe. AEROCAN, a Canadian sub-network of AERONET, was established 20 years ago and currently consists of twenty sites across the country. In this study, we examine whether the AEROCAN sunphotometer data provide evidence of anthropogenic contributions to ambient particulate matter concentrations in relatively clean Canadian locations. The similar weekly cycle of AOD and PM2.5 over Toronto provides insight into the impact of local pollution on observed AODs. High temporal correlations (up to r = 0.78) between daily mean AOD (or its fine-mode component) and PM2.5 are found at southern Ontario AEROCAN sites during May-August, implying that the variability in the aerosol load resides primarily in the boundary layer and that sunphotometers capture day-to-day PM2.5 variations at moderately polluted sites. The sensitivity of AEROCAN AOD data to anthropogenic surface-level aerosol enhancements is demonstrated using boundary-layer wind information for sites near sources of aerosol or its precursors. An advantage of AEROCAN relative to the Canadian in-situ National Air Pollution Surveillance (NAPS) network is the ability to detect free tropospheric aerosol enhancements, which can be large in the case of lofted forest fire smoke or desert dust. These aerosol plumes eventually descend to the surface, sometimes in populated areas, exacerbating air quality. In cases of large AOD (≥0.4), AEROCAN data are also useful in characterizing the aerosol type. The AEROCAN network includes three sites in the high Arctic, a region not sampled by the NAPS PM2.5 monitoring network. These polar sites show the importance of long-range transport and meteorology in the Arctic haze phenomenon. Also, AEROCAN sunphotometers are, by design and due to regular maintenance, the most

  5. A Study of Quality of Service Communication for High-Speed Packet-Switching Computer Sub-Networks

    Science.gov (United States)

    Cui, Zhenqian

    1999-01-01

    In this thesis, we analyze various factors that affect quality of service (QoS) communication in high-speed, packet-switching sub-networks. We hypothesize that sub-network-wide bandwidth reservation and guaranteed CPU processing power at endpoint systems for handling data traffic are indispensable to achieving hard end-to-end quality of service. Different bandwidth reservation strategies, traffic characterization schemes, and scheduling algorithms affect the network resources and CPU usage as well as the extent that QoS can be achieved. In order to analyze those factors, we design and implement a communication layer. Our experimental analysis supports our research hypothesis. The Resource ReSerVation Protocol (RSVP) is designed to realize resource reservation. Our analysis of RSVP shows that using RSVP solely is insufficient to provide hard end-to-end quality of service in a high-speed sub-network. Analysis of the IEEE 802.lp protocol also supports the research hypothesis.

  6. Experimental Optimization of Exposure Index and Quality of Service in Wlan Networks.

    Science.gov (United States)

    Plets, David; Vermeeren, Günter; Poorter, Eli De; Moerman, Ingrid; Goudos, Sotirios K; Luc, Martens; Wout, Joseph

    2017-01-17

    This paper presents the first real-life optimization of the Exposure Index (EI). A genetic optimization algorithm is developed and applied to three real-life Wireless Local Area Network scenarios in an experimental testbed. The optimization accounts for downlink, uplink and uplink of other users, for realistic duty cycles, and ensures a sufficient Quality of Service to all users. EI reductions up to 97.5% compared to a reference configuration can be achieved in a downlink-only scenario, in combination with an improved Quality of Service. Due to the dominance of uplink exposure and the lack of WiFi power control, no optimizations are possible in scenarios that also consider uplink traffic. However, future deployments that do implement WiFi power control can be successfully optimized, with EI reductions up to 86% compared to a reference configuration and an EI that is 278 times lower than optimized configurations under the absence of power control.

  7. Analysis of Video Signal Transmission Through DWDM Network Based on a Quality Check Algorithm

    Directory of Open Access Journals (Sweden)

    A. Markovic

    2013-04-01

    Full Text Available This paper provides an analysis of the multiplexed video signal transmission through the Dense Wavelength Division Multiplexing (DWDM network based on a quality check algorithm, which determines where the interruption of the transmission quality starts. On the basis of this algorithm, simulations of transmission for specific values of fiber parameters ​​ are executed. The analysis of the results shows how the BER and Q-factor change depends on the length of the fiber, i.e. on the number of amplifiers, and what kind of an effect the number of multiplexed channels and the flow rate per channel have on a transmited signals. Analysis of DWDM systems is performed in the software package OptiSystem 7.0, which is designed for systems with flow rates of 2.5 Gb/s and 10 Gb/s per channel.

  8. Energy-Constrained Quality Optimization for Secure Image Transmission in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Wei Wang

    2007-01-01

    Full Text Available Resource allocation for multimedia selective encryption and energy efficient transmission has not been fully investigated in literature for wireless sensor networks (WSNs. In this article, we propose a new cross-layer approach to optimize selectively encrypted image transmission quality in WSNs with strict energy constraint. A new selective image encryption approach favorable for unequal error protection (UEP is proposed, which reduces encryption overhead considerably by controlling the structure of image bitstreams. Also, a novel cross-layer UEP scheme based on cipher-plain-text diversity is studied. In this UEP scheme, resources are unequally and optimally allocated in the encrypted bitstream structure, including data position information and magnitude value information. Simulation studies demonstrate that the proposed approach can simultaneously achieve improved image quality and assured energy efficiency with secure transmissions over WSNs.

  9. Oral health related quality of life in pregnant and post partum women in two social network domains; predominantly home-based and work-based networks

    OpenAIRE

    Lamarca, G.A.; Leal, M.D.O.C.; Leao, A.T.; Sheiham, A.; Vettore, M.V.

    2012-01-01

    Abstract Background Individuals connected to supportive social networks have better general and oral health quality of life. The objective of this study was to assess whether there were differences in oral health related quality of life (OHRQoL) between women connected to either predominantly home-based and work-based social networks. Methods A follow-up prevalence study was conducted on 1403 pregnant and post-partum women (mean age of 25.2 ± 6.3 years) living in two cities in the State of Ri...

  10. Using Multi-input-layer Wavelet Neural Network to Model Product Quality of Continuous Casting Furnace and Hot Rolling Mill

    Institute of Scientific and Technical Information of China (English)

    HuanqinLi; JieCheng; BaiwuWan

    2004-01-01

    A new architecture of wavelet neural network with multi-input-layer is proposed and implemented for modeling a class of large-scale industrial processes. Because the processes are very complicated and the number of technological parameters, which determine the final product quality, is quite large, and these parameters do not make actions at the same time but work in different procedures, the conventional feed-forward neural networks cannot model this set of problems efficiently. The network presented in this paper has several input-layers according to the sequence of work procedure in large-scale industrial production processes. The performance of such networks is analyzed and the network is applied to model the steel plate quality of continuous casting furnace and hot rolling mill. Simulation results indicate that the developed methodology is competent and has well prospects to this set of problems.

  11. Food choice patterns among frail older adults: The associations between social network, food choice values, and diet quality.

    Science.gov (United States)

    Kim, Chang-O

    2016-01-01

    Social network type might affect an individual's food choice because these decisions are often made as a group rather than individually. In this study, the associations between social network type, food choice value, and diet quality in frail older adults with low socioeconomic status were investigated. For this cross-sectional study, 87 frail older adults were recruited from the National Home Healthcare Services in Seoul, South Korea. Social network types, food choice values, and diet quality were assessed using The Practitioner Assessment of Network Type Instrument, The Food Choice Questionnaire, and mean adequacy ratio, respectively. Results showed that frail older adults with close relationships with local family and/or friends and neighbors were less likely to follow their own preferences, such as taste, price, and beliefs regarding food health values. In contrast, frail older adults with a small social network and few community contacts were more likely to be influenced by their food choice values, such as price or healthiness of food. Frail older adults who tend to choose familiar foods were associated with low-quality dietary intake, while older adults who valued healthiness or use of natural ingredients were associated with a high-quality diet. The strength and direction of these associations were dependent on social network type of frail older adults. This study explored the hypothesis that food choice values are associated with a certain type of social network and consequently affect diet quality. While additional research needs to be conducted, community-based intervention intended to improve diet quality of frail older adults must carefully consider individual food choice values as well as social network types. Copyright © 2015 Elsevier Ltd. All rights reserved.

  12. Rasgos del temperamento de los perros domésticos (Canis familiaris: evaluaciones conductuales

    Directory of Open Access Journals (Sweden)

    ADRIANA JAKOVCEVIC

    2009-01-01

    Full Text Available Los rasgos del temperamento se definen como tendencias conductuales estables entre situaciones similares y a lo largo del tiempo. En el presente trabajo se revisan las pruebas conductuales diseñadas para la evaluación de rasgos aislados del temperamento en los perros domésticos. Para cada dimensión se describen los estímulos empleados, las respuestas evaluadas y el correlato psiológico de las mismas. Los rasgos más estudiados fueron la temerosidad, la agresividad y la sociabilidad. Sin embargo, sólo la primera cuenta con correlatos psiológicos bien establecidos. Finalmente, las evaluaciones conductuales resultan de suma importancia para la selección de los perros para las distintas funciones que cumplen en la sociedad humana: detección de drogas, compañía, guardia, rescate de personas, etc.

  13. Northern Great Plains Network water quality monitoring design for tributaries to the Missouri National Recreational River

    Science.gov (United States)

    Rowe, Barbara L.; Wilson, Stephen K.; Yager, Lisa; Wilson, Marcia H.

    2013-01-01

    The National Park Service (NPS) organized more than 270 parks with important natural resources into 32 ecoregional networks to conduct Inventory and Monitoring (I&M) activities for assessment of natural resources within park units. The Missouri National Recreational River (NRR) is among the 13 parks in the NPS Northern Great Plain Network (NGPN). Park managers and NGPN staff identified surface water resources as a high priority vital sign to monitor in park units. The objectives for the Missouri NRR water quality sampling design are to (1) assess the current status and long-term trends of select water quality parameters; and (2) document trends in streamflow at high-priority stream systems. Due to the large size of the Missouri River main stem, the NGPN water quality design for the Missouri NRR focuses on wadeable tributaries within the park unit. To correlate with the NGPN water quality protocols, monitoring of the Missouri NRR consists of measurement of field core parameters including dissolved oxygen, pH, specific conductance, and temperature; and streamflow. The purpose of this document is to discuss factors examined for selection of water quality monitoring on segments of the Missouri River tributaries within the Missouri NRR.Awareness of the complex history of the Missouri NRR aids in the current understanding and direction for designing a monitoring plan. Historical and current monitoring data from agencies and entities were examined to assess potential NGPN monitoring sites. In addition, the U.S. Environmental Protection Agency 303(d) list was examined for the impaired segments on tributaries to the Missouri River main stem. Because major tributaries integrate water quality effects from complex combinations of land use and environmental settings within contributing areas, a 20-mile buffer of the Missouri NRR was used to establish environmental settings that may impact the water quality of tributaries that feed the Missouri River main stem. For selection of

  14. Assessment for water quality by artificial neural network in Daya Bay, South China Sea.

    Science.gov (United States)

    Wu, Mei-Lin; Wang, You-Shao; Gu, Ji-Dong

    2015-10-01

    In this study, artificial neural network such as a self-organizing map (SOM) was used to assess for the effects caused by climate change and human activities on the water quality in Daya Bay, South China Sea. SOM has identified the anthropogenic effects and seasonal characters of water quality. SOM grouped the four seasons as four groups (winter, spring, summer and autumn). The Southeast Asian monsoons, northeasterly from October to the next April and southwesterly from May to September have also an important influence on the water quality in Daya Bay. Spatial pattern is mainly related to anthropogenic activities and hydrodynamics conditions. In spatial characteristics, the water quality in Daya Bay was divided into two groups by chemometrics. The monitoring stations (S3, S8, S10 and S11) were in these area (Dapeng Ao, Aotou Harbor) and northeast parts of Daya Bay, which are areas of human activity. The thermal pollution has been observed near water body in Daya Bay Nuclear Power Plant (S5). The rest of the monitoring sites were in the south, central and eastern parts of Daya Bay, which are areas that experience water exchanges from South China Sea. The results of this study may provide information on the spatial and temporal patterns in Daya Bay. Further research will be carry out more research concerning functional changes in the bay ecology with respect to changes in climatic factor, human activities and bay morphology in Daya Bay.

  15. Data Quality Control of the French Permanent Broadband Network in the RESIF Framework.

    Science.gov (United States)

    Grunberg, M.; Lambotte, S.; Engels, F.

    2014-12-01

    In the framework of the RESIF (Réseau Sismologique et géodésique Français) project, a new information system is setting up, allowing the improvement of the management and the distribution of high quality data from the different elements of RESIF. Within this information system, EOST (in Strasbourg) is in charge of collecting real-time permanent broadband seismic waveform, and performing Quality Control on these data. The real-time and validated data set are pushed to the French National Distribution Center (Isterre/Grenoble) to make them publicly available. Furthermore EOST hosts the BCSF-ReNaSS, in charge of the French metropolitan seismic bulletin. This allows to benefit from some high-end quality control based on the national and world-wide seismicity. Here we present the real-time seismic data flow from the stations of the French National Broad Band Network to EOST, and then, the data Quality Control procedures that were recently installed, including some new developments.The data Quality Control consists in applying a variety of processes to check the consistency of the whole system from the stations to the data center. This allows us to verify that instruments and data transmission are operating correctly. Moreover, time quality is critical for most of the scientific data applications. To face this challenge and check the consistency of polarities and amplitudes, we deployed several high-end processes including a noise correlation procedure to check for timing accuracy (intrumental time errors result in a time-shift of the whole cross-correlation, clearly distinct from those due to change in medium physical properties), and a systematic comparison of synthetic and real data for teleseismic earthquakes of magnitude larger than 6.5 to detect timing errors as well as polarity and amplitude problems.

  16. A Reaction-Based River/Stream Water Quality Model: Reaction Network Decomposition and Model Application

    Directory of Open Access Journals (Sweden)

    Fan Zhang

    2012-01-01

    Full Text Available This paper describes details of an automatic matrix decomposition approach for a reaction-based stream water quality model. The method yields a set of equilibrium equations, a set of kinetic-variable transport equations involving kinetic reactions only, and a set of component transport equations involving no reactions. Partial decomposition of the system of water quality constituent transport equations is performed via Gauss-Jordan column reduction of the reaction network by pivoting on equilibrium reactions to decouple equilibrium and kinetic reactions. This approach minimizes the number of partial differential advective-dispersive transport equations and enables robust numerical integration. Complete matrix decomposition by further pivoting on linearly independent kinetic reactions allows some rate equations to be formulated individually and explicitly enforces conservation of component species when component transport equations are solved. The methodology is demonstrated for a case study involving eutrophication reactions in the Des Moines River in Iowa, USA and for two hypothetical examples to illustrate the ability of the model to simulate sediment and chemical transport with both mobile and immobile water phases and with complex reaction networks involving both kinetic and equilibrium reactions.

  17. Analysis of feature selection with Probabilistic Neural Network (PNN) to classify sources influencing indoor air quality

    Science.gov (United States)

    Saad, S. M.; Shakaff, A. Y. M.; Saad, A. R. M.; Yusof, A. M.; Andrew, A. M.; Zakaria, A.; Adom, A. H.

    2017-03-01

    There are various sources influencing indoor air quality (IAQ) which could emit dangerous gases such as carbon monoxide (CO), carbon dioxide (CO2), ozone (O3) and particulate matter. These gases are usually safe for us to breathe in if they are emitted in safe quantity but if the amount of these gases exceeded the safe level, they might be hazardous to human being especially children and people with asthmatic problem. Therefore, a smart indoor air quality monitoring system (IAQMS) is needed that able to tell the occupants about which sources that trigger the indoor air pollution. In this project, an IAQMS that able to classify sources influencing IAQ has been developed. This IAQMS applies a classification method based on Probabilistic Neural Network (PNN). It is used to classify the sources of indoor air pollution based on five conditions: ambient air, human activity, presence of chemical products, presence of food and beverage, and presence of fragrance. In order to get good and best classification accuracy, an analysis of several feature selection based on data pre-processing method is done to discriminate among the sources. The output from each data pre-processing method has been used as the input for the neural network. The result shows that PNN analysis with the data pre-processing method give good classification accuracy of 99.89% and able to classify the sources influencing IAQ high classification rate.

  18. Use of network analysis to capture key traits affecting tomato organoleptic quality.

    Science.gov (United States)

    Carli, Paola; Arima, Serena; Fogliano, Vincenzo; Tardella, Luca; Frusciante, Luigi; Ercolano, Maria R

    2009-01-01

    The long-term objective of tomato breeders is to identify metabolites that contribute to defining the target flavour and to design strategies to enhance it. This paper reports the results of network analysis, based on metabolic phenotypic and sensory data, to highlight important relationships among such traits. This tool allowed a reduction in data set complexity, building a network consisting of 35 nodes and 74 links corresponding to the 74 significant (positive or negative) correlations among the variables studied. A number of links among traits contributing to fruit organoleptic quality and to the perception of sensory attributes were identified. Modular partitioning of the characteristics involved in fruit organoleptic perception captured the essential fruit parameters that regulate interactions among different class traits. The main feature of the network was the presence of three nodes interconnected among themselves (dry matter, pH, and degrees Brix) and with other traits, and nodes with widely different linkage degrees. Identification of strong associations between some metabolic and sensory traits, such as citric acid with tomato smell, glycine with tomato smell, and granulosity with dry matter, suggests a basis for more targeted investigations in the future.

  19. Effects of energy harvesting on quality-of-service in real-time, wireless sensor networks

    Science.gov (United States)

    Hortos, William S.

    2012-05-01

    The quality-of-service (QoS) metrics in a wireless sensor network (WSN) of multiple sensor types depend on the performance of the network protocol layers, motivating a comprehensive cross-layer design approach to optimize QoS. Advances in energy-harvesting techniques enable increases in WSN lifetime by prolonging operation of the wireless nodes. While the primary objective of energy harvesting is to prolong network lifetime, it may cause lower values of other QoS metrics during that lifetime. From the author's previous work, cross-layer protocol interactions are represented through a set of concatenated parameters and resource levels for a real-time WSN under energy harvesting (EH-WSN). The cross-layer parameters that determine QoS values in the EH-WSN are established in terms of solutions to stochastic dynamic programming conditions derived from multivariate point-process (MVPP) models of transient information flows. Simulation results evaluate the extent to which QoS values are degraded in an EH-WSN compared to a WSN of the same structure without energy harvesting.

  20. Impact of solvent quality on the network strength and structure of alginate gels.

    Science.gov (United States)

    Hermansson, Elin; Schuster, Erich; Lindgren, Lars; Altskär, Annika; Ström, Anna

    2016-06-25

    The influence of the mixture of water and alcohols on the solubility and properties of alginate and its calcium-induced gels is of interest for the food, wound care and pharmaceutical industries. The solvent quality of water with increasing amounts of ethanol (0-20%) on alginate was studied using intrinsic viscosity. The effect of ethanol addition on the rheological and mechanical properties of calcium alginate gels was determined. Small-angle X-ray scattering and transmission electron microscopy were used to study the network structure. It is shown that the addition of ethanol up to 15% (wt) increases the extension of the alginate chain, which correlates with increased moduli and stress being required to fracture the gels. The extension of the polymer chain is reduced at 20% (wt) ethanol, which is followed by reduced moduli and stress at breakage of the gels. The network structure of gels at high ethanol concentrations (24%) is characterized by thick and poorly connected network strands.

  1. Energy-Efficient Resource Allocation in Wireless Networks with Quality-of-Service Constraints

    CERN Document Server

    Meshkati, Farhad; Schwartz, Stuart C; Balan, Radu V

    2007-01-01

    A game-theoretic model is proposed to study the cross-layer problem of joint power and rate control with quality of service (QoS) constraints in multiple-access networks. In the proposed game, each user seeks to choose its transmit power and rate in a distributed manner in order to maximize its own utility while satisfying its QoS requirements. The user's QoS constraints are specified in terms of the average source rate and an upper bound on the average delay where the delay includes both transmission and queuing delays. The utility function considered here measures energy efficiency and is particularly suitable for wireless networks with energy constraints. The Nash equilibrium solution for the proposed non-cooperative game is derived and a closed-form expression for the utility achieved at equilibrium is obtained. It is shown that the QoS requirements of a user translate into a "size" for the user which is an indication of the amount of network resources consumed by the user. Using this competitive multiuse...

  2. Groundwater-quality characteristics for the Wyoming Groundwater-Quality Monitoring Network, November 2009 through September 2012

    Science.gov (United States)

    Boughton, Gregory K.

    2014-01-01

    Groundwater samples were collected from 146 shallow (less than or equal to 500 feet deep) wells for the Wyoming Groundwater-Quality Monitoring Network, from November 2009 through September 2012. Groundwater samples were analyzed for physical characteristics, major ions and dissolved solids, trace elements, nutrients and dissolved organic carbon, uranium, stable isotopes of hydrogen and oxygen, volatile organic compounds, and coliform bacteria. Selected samples also were analyzed for gross alpha radioactivity, gross beta radioactivity, radon, tritium, gasoline range organics, diesel range organics, dissolved hydrocarbon gases (methane, ethene, and ethane), and wastewater compounds. Water-quality measurements and concentrations in some samples exceeded numerous U.S. Environmental Protection Agency (EPA) drinking water standards. Physical characteristics and constituents that exceeded EPA Maximum Contaminant Levels (MCLs) in some samples were arsenic, selenium, nitrite, nitrate, gross alpha activity, and uranium. Total coliforms and Escherichia coli in some samples exceeded EPA Maximum Contaminant Level Goals. Measurements of pH and turbidity and concentrations of chloride, sulfate, fluoride, dissolved solids, aluminum, iron, and manganese exceeded EPA Secondary Maximum Contaminant Levels in some samples. Radon concentrations in some samples exceeded the alternative MCL proposed by the EPA. Molybdenum and boron concentrations in some samples exceeded EPA Health Advisory Levels. Water-quality measurements and concentrations also exceeded numerous Wyoming Department of Environmental Quality (WDEQ) groundwater standards. Physical characteristics and constituents that exceeded WDEQ Class I domestic groundwater standards in some samples were measurements of pH and concentrations of chloride, sulfate, dissolved solids, iron, manganese, boron, selenium, nitrite, and nitrate. Measurements of pH and concentrations of chloride, sulfate, dissolved solids, aluminum, iron

  3. Water quality modeling in the dead end sections of drinking water distribution networks.

    Science.gov (United States)

    Abokifa, Ahmed A; Yang, Y Jeffrey; Lo, Cynthia S; Biswas, Pratim

    2016-02-01

    Dead-end sections of drinking water distribution networks are known to be problematic zones in terms of water quality degradation. Extended residence time due to water stagnation leads to rapid reduction of disinfectant residuals allowing the regrowth of microbial pathogens. Water quality models developed so far apply spatial aggregation and temporal averaging techniques for hydraulic parameters by assigning hourly averaged water demands to the main nodes of the network. Although this practice has generally resulted in minimal loss of accuracy for the predicted disinfectant concentrations in main water transmission lines, this is not the case for the peripheries of the distribution network. This study proposes a new approach for simulating disinfectant residuals in dead end pipes while accounting for both spatial and temporal variability in hydraulic and transport parameters. A stochastic demand generator was developed to represent residential water pulses based on a non-homogenous Poisson process. Dispersive solute transport was considered using highly dynamic dispersion rates. A genetic algorithm was used to calibrate the axial hydraulic profile of the dead-end pipe based on the different demand shares of the withdrawal nodes. A parametric sensitivity analysis was done to assess the model performance under variation of different simulation parameters. A group of Monte-Carlo ensembles was carried out to investigate the influence of spatial and temporal variations in flow demands on the simulation accuracy. A set of three correction factors were analytically derived to adjust residence time, dispersion rate and wall demand to overcome simulation error caused by spatial aggregation approximation. The current model results show better agreement with field-measured concentrations of conservative fluoride tracer and free chlorine disinfectant than the simulations of recent advection dispersion reaction models published in the literature. Accuracy of the simulated

  4. Trends in surface-water quality at selected National Stream Quality Accounting Network (NASQAN) stations, in Michigan

    Science.gov (United States)

    Syed, Atiq U.; Fogarty, Lisa R.

    2005-01-01

    To demonstrate the value of long-term, water-quality monitoring, the Michigan Department of Environmental Quality (MDEQ), in cooperation with the U.S. Geological Survey (USGS), initiated a study to evaluate potential trends in water-quality constituents for selected National Stream Quality Accounting Network (NASQAN) stations in Michigan. The goal of this study is to assist the MDEQ in evaluating the effectiveness of water-pollution control efforts and the identification of water-quality concerns. The study included a total of nine NASQAN stations in Michigan. Approximately 28 constituents were analyzed for trend tests. Station selection was based on data availability, land-use characteristics, and station priority for the MDEQ Water Chemistry Monitoring Project. Trend analyses were completed using the uncensored Seasonal Kendall Test in the computer program Estimate Trend (ESTREND), a software program for the detection of trends in water-quality data. The parameters chosen for the trend test had (1) at least a 5-year period of record (2) about 5 percent of the observations censored at a single reporting limit, and (3) 40 percent of the values within the beginning one-fifth and ending one-fifth of the selected period. In this study, a negative trend indicates a decrease in concentration of a particular constituent, which generally means an improvement in water quality; whereas a positive trend means an increase in concentration and possible degradation of water quality. The results of the study show an overall improvement in water quality at the Clinton River at Mount Clemens, Manistee River at Manistee, and Pigeon River near Caseville. The detected trend for these stations show decreases in concentrations of various constituents such as nitrogen compounds, conductance, sulfate, fecal coliform bacteria, and fecal streptococci bacteria. The negative trend may indicate an overall improvement in agricultural practices, municipal and industrial wastewater

  5. A new study of describing the reliability of GNSS Network RTK positioning with the use of quality indicators

    Science.gov (United States)

    Prochniewicz, D.; Szpunar, R.; Walo, J.

    2017-01-01

    The method of precise GNSS positioning using corrections from a network of reference stations, the so-called Network RTK, is currently the most accurate real time kinematic positioning method. The reliability of this method is largely dependent on the accuracy of determination of network ionospheric and geometric corrections (taking into account the tropospheric refraction and orbit errors). There are many indexes describing the reliability of Network RTK positioning in the aspect of the accuracy of modelling these errors. The so-called solution quality indicators are used for this purpose. They are parameters determined in the central network pre-processing which provide quantitative information regarding the predicted reliability of the positioning in an area encompassed by a network of reference stations. Unfortunately, their interpretation is hindered due to the lack of connection with basic parameters describing precise positioning quality, i.e. the correctness of the carrier phase ambiguity resolution and the accuracy of the rover position. This study presents a new approach to the design of quality indicators for the Network RTK method, based on a quantitative description of two parameters—solution accuracy and availability. The presented method is based on the existing parameters describing the probability of the correct fixing of ambiguities and the estimation of the fixed baseline solution accuracy. However, a stochastic model of observation, taking into account the accuracy of network corrections is used for these calculations. The proposed method enables a full account of all parameters affecting the reliability of positioning, which is not possible with the currently applied methods. Numerical tests of the new indicators carried out for a part of the regional reference stations network confirmed the effectiveness of this approach. The proposed indicators provide much more clear identification of the time periods for which the reliability of the

  6. Evaluation of the useful life of steam turbine rotors; Evaluacion de vida util de rotores de turbinas de vapor

    Energy Technology Data Exchange (ETDEWEB)

    Carnero Parra, Antonio; Garcia Illescas, Rafael; Kubiak Szyszka, Janusz [Instituto de Investigaciones Electricas, Temixco, Morelos (Mexico)

    1999-07-01

    This article presents the methodology applied by the Management of Turbomachinery of the Institute of Investigaciones Electricas (IIE), for the evaluation of the remaining useful life of steam turbine rotors in the phase of initiation of fissures. The evaluation of the remaining useful life of turbines, will reveal the real state of health of the rotor and will serve as a base for the future decision making that guarantees their structural integrity. [Spanish] El presentes articulo presenta la metodologia aplicada por la Gerencia de Turbomaquinaria del Instituto de Investigaciones Electricas (IIE), para la evaluacion de la vida util remanente de rotores de turbinas de vapor en la fase de iniciacion de fisuras. La evaluacion de la vida util de turbinas, revelar el estado real de salud del rotor y servira de base para la toma de decisiones futuras que garanticen su integridad estructural.

  7. Data Verification Tools for Minimizing Management Costs of Dense Air-Quality Monitoring Networks.

    Science.gov (United States)

    Miskell, Georgia; Salmond, Jennifer; Alavi-Shoshtari, Maryam; Bart, Mark; Ainslie, Bruce; Grange, Stuart; McKendry, Ian G; Henshaw, Geoff S; Williams, David E

    2016-01-19

    Aiming at minimizing the costs, both of capital expenditure and maintenance, of an extensive air-quality measurement network, we present simple statistical methods that do not require extensive training data sets for automated real-time verification of the reliability of data delivered by a spatially dense hybrid network of both low-cost and reference ozone measurement instruments. Ozone is a pollutant that has a relatively smooth spatial spread over a large scale although there can be significant small-scale variations. We take advantage of these characteristics and demonstrate detection of instrument calibration drift within a few days using a rolling 72 h comparison of hourly averaged data from the test instrument with that from suitably defined proxies. We define the required characteristics of the proxy measurements by working from a definition of the network purpose and specification, in this case reliable determination of the proportion of hourly averaged ozone measurements that are above a threshold in any given day, and detection of calibration drift of greater than ±30% in slope or ±5 parts-per-billion in offset. By analyzing results of a study of an extensive deployment of low-cost instruments in the Lower Fraser Valley, we demonstrate that proxies can be established using land-use criteria and that simple statistical comparisons can identify low-cost instruments that are not stable and therefore need replacing. We propose that a minimal set of compliant reference instruments can be used to verify the reliability of data from a much more extensive network of low-cost devices.

  8. Agricultural pesticide use estimates for the USGS National Water Quality Network, 1992-2014

    Science.gov (United States)

    Baker, Nancy T.

    2016-01-01

    The National Water Quality Network (NWQN) for Rivers and Streams includes 113 surface-water river and stream sites monitored by the U.S. Geological Survey (USGS) National Water Quality Program (NWQP). The NWQN represents the consolidation of four historical national networks: the USGS National Water-Quality Assessment (NAWQA) Project, the USGS National Stream Quality Accounting Network (NASQAN), the National Monitoring Network (NMN), and the Hydrologic Benchmark Network (HBN). The NWQN includes 22 large river coastal sites, 41 large river inland sites, 30 wadeable stream reference sites, 10 wadeable stream urban sites, and 10 wadeable stream agricultural sites. In addition to the 113 NWQN sites, 3 large inland river monitoring sites from the USGS Cooperative Matching Funds program are also included in this annual water-quality reporting Web site to be consistent with previous USGS studies of nutrient transport in the Mississippi-Atchafalaya River Basin. This data release provides estimated agricultural pesticide use for 83 NWQN watersheds for 110 pesticide compounds from 1992-2014. Pesticide use was not estimated for the 30 wadeable stream reference sites, or from 3 large river coastal sites (07381590, "Wax Lake Outlet at Calumet, LA3"; 07381600, "Lower Atchafalaya River at Morgan City, LA2"; or 15565477, "Yukon River at Pilot Station, AK"). Use was not estimated for reference sites because pesticides are not monitored at reference water-quality sampling sites. Pesticide use data are not available for Alaska and thus no data is available for the Yukon River site. The other two coastal sites (07381590 and 07381600) where use was not estimated are outflow distributaries into the Gulf of Mexico. This data release provides use estimates for the same pesticide parent compounds sampled in water and analyzed by USGS, National Water Quality Laboratory (NWQL), Schedule 2437: http://wwwnwql.cr.usgs.gov/USGS/catalog/index.cfm. Pesticide use data are not available for

  9. Flying Qualities and Performance Evaluation of the Breguet 941 Turbo-Prop Troop Transport

    Science.gov (United States)

    1964-01-01

    evaluated by the U. S. Army. S3 FOR OFFICIAL USE ONLY - -7 FOR OFFICIAL USE ONLY Flying Qualities and Performance Evaluacion of tYe Breguet 941 Turbo...seats were installed. Breguet personnel stated that production versions would incorporate non-skid floors and an integral cargo roller system. 18. The

  10. Social Perception of Public Water Supply Network and Groundwater Quality in an Urban Setting Facing Saltwater Intrusion and Water Shortages.

    Science.gov (United States)

    Alameddine, Ibrahim; Jawhari, Gheeda; El-Fadel, Mutasem

    2017-04-01

    Perceptions developed by consumers regarding the quality of water reaching their household can affect the ultimate use of the water. This study identified key factors influencing consumers' perception of water quality in a highly urbanized coastal city, experiencing chronic water shortages, overexploitation of groundwater, and accelerated saltwater intrusion. Household surveys were administered to residents to capture views and perceptions of consumed water. Concomitantly, groundwater and tap water samples were collected and analyzed at each residence for comparison with perceptions. People's rating of groundwater quality was found to correlate to the measured water quality both in the dry and wet seasons. In contrast, perceptions regarding the water quality of the public water supply network did not show any correlation with the measured tap water quality indicators. Logistic regression models developed to predict perception based on salient variables indicated that age, apartment ownership, and levels of total dissolved solids play a significant role in shaping perceptions regarding groundwater quality. Perceptions concerning the water quality of the public water supply network appeared to be independent of the measured total dissolved solids levels at the tap but correlated to those measured in the wells. The study highlights misconceptions that can arise as a result of uncontrolled cross-connections of groundwater to the public supply network water and the development of misaligned perceptions based on prior consumption patterns, water shortages, and a rapidly salinizing groundwater aquifer.

  11. Social Perception of Public Water Supply Network and Groundwater Quality in an Urban Setting Facing Saltwater Intrusion and Water Shortages

    Science.gov (United States)

    Alameddine, Ibrahim; Jawhari, Gheeda; El-Fadel, Mutasem

    2017-04-01

    Perceptions developed by consumers regarding the quality of water reaching their household can affect the ultimate use of the water. This study identified key factors influencing consumers' perception of water quality in a highly urbanized coastal city, experiencing chronic water shortages, overexploitation of groundwater, and accelerated saltwater intrusion. Household surveys were administered to residents to capture views and perceptions of consumed water. Concomitantly, groundwater and tap water samples were collected and analyzed at each residence for comparison with perceptions. People's rating of groundwater quality was found to correlate to the measured water quality both in the dry and wet seasons. In contrast, perceptions regarding the water quality of the public water supply network did not show any correlation with the measured tap water quality indicators. Logistic regression models developed to predict perception based on salient variables indicated that age, apartment ownership, and levels of total dissolved solids play a significant role in shaping perceptions regarding groundwater quality. Perceptions concerning the water quality of the public water supply network appeared to be independent of the measured total dissolved solids levels at the tap but correlated to those measured in the wells. The study highlights misconceptions that can arise as a result of uncontrolled cross-connections of groundwater to the public supply network water and the development of misaligned perceptions based on prior consumption patterns, water shortages, and a rapidly salinizing groundwater aquifer.

  12. Performance Analysis of DiffServ based Quality of Service in a Multimedia Wired Network and VPN effect using OPNET

    Directory of Open Access Journals (Sweden)

    Muhammad Aamir

    2012-05-01

    Full Text Available Quality of Service (QoS techniques are applied in IP networks to utilize available network resources in the most efficient manner to minimize delays and delay variations (jitters in network traffic having multiple type of services. Multimedia services may include voice, video and database. Researchers have done considerable work on queuing disciplines to analyze and improve QoS performance in wired and wireless IP networks. This paper highlights QoS analysis in a wired IP network with more realistic enterprise modeling and presents simulation results of a few statistics not presented and discussed before. Four different applications are used i.e. FTP, Database, Voice over IP (VoIP and Video Conferencing (VC. Two major queuing disciplines are evaluated i.e. Priority Queuing and Weighted Fair Queuing for packet identification under Differentiated Services Code Point (DSCP. The simulation results show that WFQ has an edge over PQ in terms of queuing delays and jitters experienced by low priority services. For high priority traffic, dependency of Traffic Drop, Buffer Usage and Packet Delay Variation on selected buffer sizes is simulated and discussed to evaluate QoS deeper. In the end, it is also analyzed how networks database service with applied Quality of Service may be affected in terms of throughput (average rate of data receivedfor internal network users when the server is also accessed by external user(s through Virtual Private Network (VPN.

  13. The effect of competition from open source software on the quality of proprietary software in the presence of network externalities

    Directory of Open Access Journals (Sweden)

    Mingqing Xing

    2015-05-01

    Full Text Available Purpose: A growing number of open source software emerges in many segments of the software market. In addition, software products usually exhibit network externalities. The purpose of this paper is to study the impact of open source software on the quality choices of proprietary software vendors when the market presents positive network externalities. Design/methodology: To analyze how open source software affects the optimal quality of proprietary software, this paper constructs two vertical differentiation models: the basic model considers proprietary software monopolizing the market, and its extended one considers proprietary software competing with open source substitute. Findings: This paper mainly finds that the presence of open source software does not necessarily lead to the quality of proprietary software decreases (or increases. The network externalities and compatibility between open source and proprietary software may change the impact of open source software on the quality of proprietary software and may affect the quality choices of proprietary software vendors. Originality/value: The main contribution of this paper is to examine the effect of open source software on the quality choices for proprietary software vendors in software markets exhibiting positive network externalities.

  14. A water quality monitoring network design methodology for the selection of critical sampling points: part II.

    Science.gov (United States)

    Strobl, R O; Robillard, P D; Day, R L; Shannon, R D; McDonnell, A J

    2006-11-01

    In order to resolve the spatial component of the design of a water quality monitoring network, a methodology has been developed to identify the critical sampling locations within a watershed. This methodology, called Critical Sampling Points (CSP), focuses on the contaminant total phosphorus (TP), and is applicable to small, predominantly agricultural-forested watersheds. The CSP methodology was translated into a model, called Water Quality Monitoring Station Analysis (WQMSA). It incorporates a geographic information system (GIS) for spatial analysis and data manipulation purposes, a hydrologic/water quality simulation model for estimating TP loads, and an artificial intelligence technology for improved input data representation. The model input data include a number of hydrologic, topographic, soils, vegetative, and land use factors. The model also includes an economic and logistics component. The validity of the CSP methodology was tested on a small experimental Pennsylvanian watershed, for which TP data from a number of single storm events were available for various sampling points within the watershed. A comparison of the ratios of observed to predicted TP loads between sampling points revealed that the model's results were promising.

  15. Assessment of Water-Quality Monitoring and a Proposed Water-Quality Monitoring Network for the Mosquito Lagoon Basin, East-Central Florida

    Science.gov (United States)

    Kroening, Sharon E.

    2008-01-01

    Surface- and ground-water quality data from the Mosquito Lagoon Basin were compiled and analyzed to: (1) describe historical and current monitoring in the basin, (2) summarize surface- and ground-water quality conditions with an emphasis on identifying areas that require additional monitoring, and (3) develop a water-quality monitoring network to meet the goals of Canaveral National Seashore (a National Park) and to fill gaps in current monitoring. Water-quality data were compiled from the U.S. Environmental Protection Agency's STORET system, the U.S. Geological Survey's National Water Information System, or from the agency which collected the data. Most water-quality monitoring focused on assessing conditions in Mosquito Lagoon. Significant spatial and/or seasonal variations in water-quality constituents in the lagoon were quantified for pH values, fecal coliform bacteria counts, and concentrations of dissolved oxygen, total nitrogen, total phosphorus, chlorophyll-a, and total suspended solids. Trace element, pesticide, and ground-water-quality data were more limited. Organochlorine insecticides were the major class of pesticides analyzed. A surface- and ground-water-quality monitoring network was designed for the Mosquito Lagoon Basin which emphasizes: (1) analysis of compounds indicative of human activities, including pesticides and other trace organic compounds present in domestic and industrial waste; (2) greater data collection in the southern part of Mosquito Lagoon where spatial variations in water-quality constituents were quantified; and (3) additional ground-water-quality data collection in the surficial aquifer system and Upper Floridan aquifer. Surface-water-quality data collected as part of this network would include a fixed-station monitoring network of eight sites in the southern part of the basin, including a canal draining Oak Hill. Ground-water quality monitoring should be done routinely at about 20 wells in the surficial aquifer system and Upper

  16. Watershed boundaries for the U.S. Geological Survey National Water Quality Network

    Science.gov (United States)

    Baker, Nancy T.

    2016-01-01

    The National Water Quality Network (NWQN) for Rivers and Streams includes 113 surface-water river and stream sites monitored by the U.S. Geological Survey (USGS) National Water Quality Program (NWQP). The NWQN represents the consolidation of four historical national networks: the USGS National Water-Quality Assessment (NAWQA) Project, the USGS National Stream Quality Accounting Network (NASQAN), the National Monitoring Network (NMN), and the Hydrologic Benchmark Network (HBN). The NWQN includes 22 large river coastal sites, 41 large river inland sites, 30 wadeable stream reference sites, 10 wadeable stream urban sites, and 10 wadeable stream agricultural sites. In addition to the 113 NWQN sites, 3 large inland river monitoring sites from the USGS Cooperative Matching Funds (Co-op) program are also included in this annual water-quality reporting Web site to be consistent with previous USGS studies of nutrient transport in the Mississippi-Atchafalaya River Basin. This data release contains geo-referenced digital data and associated attributes of watershed boundaries for 113 NWQN and 3 Co-op sites. Two sites, "Wax Lake Outlet at Calumet, LA"; 07381590, and "Lower Atchafalaya River at Morgan City, LA"; 07381600, are outflow distributaries into the Gulf of Mexico. Watershed boundaries were delineated for the portion of the watersheds between "Red River near Alexandria, LA"; 07355500 and "Atchafalaya River at Melville, LA"; 07381495 to the two distributary sites respectively. Drainage area was undetermined for these two distributary sites because the main stream channel outflows into many smaller channels so that streamflow is no longer relative to the watershed area. NWQN watershed boundaries were derived from the Watershed Boundary Dataset-12-digit hydrologic units (WBD-12). The development of the WBD-12 was a coordinated effort between the United States Department of Agriculture-Natural Resources Conservation Service (USDA-NRCS), the USGS, and the Environmental

  17. Author-paper affiliation network architecture influences the methodological quality of systematic reviews and meta-analyses of psoriasis.

    Science.gov (United States)

    Sanz-Cabanillas, Juan Luis; Ruano, Juan; Gomez-Garcia, Francisco; Alcalde-Mellado, Patricia; Gay-Mimbrera, Jesus; Aguilar-Luque, Macarena; Maestre-Lopez, Beatriz; Gonzalez-Padilla, Marcelino; Carmona-Fernandez, Pedro J; Velez Garcia-Nieto, Antonio; Isla-Tejera, Beatriz

    2017-01-01

    Moderate-to-severe psoriasis is associated with significant comorbidity, an impaired quality of life, and increased medical costs, including those associated with treatments. Systematic reviews (SRs) and meta-analyses (MAs) of randomized clinical trials are considered two of the best approaches to the summarization of high-quality evidence. However, methodological bias can reduce the validity of conclusions from these types of studies and subsequently impair the quality of decision making. As co-authorship is among the most well-documented forms of research collaboration, the present study aimed to explore whether authors' collaboration methods might influence the methodological quality of SRs and MAs of psoriasis. Methodological quality was assessed by two raters who extracted information from full articles. After calculating total and per-item Assessment of Multiple Systematic Reviews (AMSTAR) scores, reviews were classified as low (0-4), medium (5-8), or high (9-11) quality. Article metadata and journal-related bibliometric indices were also obtained. A total of 741 authors from 520 different institutions and 32 countries published 220 reviews that were classified as high (17.2%), moderate (55%), or low (27.7%) methodological quality. The high methodological quality subnetwork was larger but had a lower connection density than the low and moderate methodological quality subnetworks; specifically, the former contained relatively fewer nodes (authors and reviews), reviews by authors, and collaborators per author. Furthermore, the high methodological quality subnetwork was highly compartmentalized, with several modules representing few poorly interconnected communities. In conclusion, structural differences in author-paper affiliation network may influence the methodological quality of SRs and MAs on psoriasis. As the author-paper affiliation network structure affects study quality in this research field, authors who maintain an appropriate balance between

  18. Dynamic quality of service model for improving performance of multimedia real-time transmission in industrial networks.

    Science.gov (United States)

    Gopalakrishnan, Ravichandran C; Karunakaran, Manivannan

    2014-01-01

    Nowadays, quality of service (QoS) is very popular in various research areas like distributed systems, multimedia real-time applications and networking. The requirements of these systems are to satisfy reliability, uptime, security constraints and throughput as well as application specific requirements. The real-time multimedia applications are commonly distributed over the network and meet various time constraints across networks without creating any intervention over control flows. In particular, video compressors make variable bit-rate streams that mismatch the constant-bit-rate channels typically provided by classical real-time protocols, severely reducing the efficiency of network utilization. Thus, it is necessary to enlarge the communication bandwidth to transfer the compressed multimedia streams using Flexible Time Triggered- Enhanced Switched Ethernet (FTT-ESE) protocol. FTT-ESE provides automation to calculate the compression level and change the bandwidth of the stream. This paper focuses on low-latency multimedia transmission over Ethernet with dynamic quality-of-service (QoS) management. This proposed framework deals with a dynamic QoS for multimedia transmission over Ethernet with FTT-ESE protocol. This paper also presents distinct QoS metrics based both on the image quality and network features. Some experiments with recorded and live video streams show the advantages of the proposed framework. To validate the solution we have designed and implemented a simulator based on the Matlab/Simulink, which is a tool to evaluate different network architecture using Simulink blocks.

  19. An Energy-Efficient and High-Quality Video Transmission Architecture in Wireless Video-Based Sensor Networks

    Directory of Open Access Journals (Sweden)

    Yasaman Samei

    2008-08-01

    Full Text Available Technological progress in the fields of Micro Electro-Mechanical Systems (MEMS and wireless communications and also the availability of CMOS cameras, microphones and small-scale array sensors, which may ubiquitously capture multimedia content from the field, have fostered the development of low-cost limited resources Wireless Video-based Sensor Networks (WVSN. With regards to the constraints of videobased sensor nodes and wireless sensor networks, a supporting video stream is not easy to implement with the present sensor network protocols. In this paper, a thorough architecture is presented for video transmission over WVSN called Energy-efficient and high-Quality Video transmission Architecture (EQV-Architecture. This architecture influences three layers of communication protocol stack and considers wireless video sensor nodes constraints like limited process and energy resources while video quality is preserved in the receiver side. Application, transport, and network layers are the layers in which the compression protocol, transport protocol, and routing protocol are proposed respectively, also a dropping scheme is presented in network layer. Simulation results over various environments with dissimilar conditions revealed the effectiveness of the architecture in improving the lifetime of the network as well as preserving the video quality.

  20. An Energy-Efficient and High-Quality Video Transmission Architecture in Wireless Video-Based Sensor Networks

    Science.gov (United States)

    Aghdasi, Hadi S.; Abbaspour, Maghsoud; Moghadam, Mohsen Ebrahimi; Samei, Yasaman

    2008-01-01

    Technological progress in the fields of Micro Electro-Mechanical Systems (MEMS) and wireless communications and also the availability of CMOS cameras, microphones and small-scale array sensors, which may ubiquitously capture multimedia content from the field, have fostered the development of low-cost limited resources Wireless Video-based Sensor Networks (WVSN). With regards to the constraints of video-based sensor nodes and wireless sensor networks, a supporting video stream is not easy to implement with the present sensor network protocols. In this paper, a thorough architecture is presented for video transmission over WVSN called Energy-efficient and high-Quality Video transmission Architecture (EQV-Architecture). This architecture influences three layers of communication protocol stack and considers wireless video sensor nodes constraints like limited process and energy resources while video quality is preserved in the receiver side. Application, transport, and network layers are the layers in which the compression protocol, transport protocol, and routing protocol are proposed respectively, also a dropping scheme is presented in network layer. Simulation results over various environments with dissimilar conditions revealed the effectiveness of the architecture in improving the lifetime of the network as well as preserving the video quality.

  1. An artificial neural network model for prediction of quality characteristics of apples during convective dehydration

    Directory of Open Access Journals (Sweden)

    Karina Di Scala

    2013-09-01

    Full Text Available In this study, the effects of hot-air drying conditions on color, water holding capacity, and total phenolic content of dried apple were investigated using artificial neural network as an intelligent modeling system. After that, a genetic algorithm was used to optimize the drying conditions. Apples were dried at different temperatures (40, 60, and 80 °C and at three air flow-rates (0.5, 1, and 1.5 m/s. Applying the leave-one-out cross validation methodology, simulated and experimental data were in good agreement presenting an error < 2.4 %. Quality index optimal values were found at 62.9 °C and 1.0 m/s using genetic algorithm.

  2. A Quality-of-Service Mechanism for Interconnection Networks in System-on-Chips

    CERN Document Server

    Weber, Wolf-Dietrich; Swarbrick, Ian; Wingard, Drew

    2011-01-01

    As Moore's Law continues to fuel the ability to build ever increasingly complex system-on-chips (SoCs), achieving performance goals is rising as a critical challenge to completing designs. In particular, the system interconnect must efficiently service a diverse set of data flows with widely ranging quality-of-service (QoS) requirements. However, the known solutions for off-chip interconnects such as large-scale networks are not necessarily applicable to the on-chip environment. Latency and memory constraints for on-chip interconnects are quite different from larger-scale interconnects. This paper introduces a novel on-chip interconnect arbitration scheme. We show how this scheme can be distributed across a chip for high-speed implementation. We compare the performance of the arbitration scheme with other known interconnect arbitration schemes. Existing schemes typically focus heavily on either low latency of service for some initiators, or alternatively on guaranteed bandwidth delivery for other initiators. ...

  3. Improving the Quality of Service Guarantee in an Asynchronous Transfer Mode (ATM Network

    Directory of Open Access Journals (Sweden)

    Francis J. Ogwu

    2007-01-01

    Full Text Available This study presents a technique for improving the quality of service (QoS guarantee in an ATM network. In the proposed model, it was assumed that high priority traffic have been allocated a switch resource to guarantee a given QoS and low priority cells are allowed to enter the buffer, to improve the exploitation of reserved resources. The proposed technique was backed up with an exact analytical model for evaluating the cell loss probability of high and low priority cells. The performance of the proposed model was evaluated using C++ programming language. The results of the simulation shows that the loss probability of both high and low cells reduces as the buffer capacity increase and that the performance of high priority cell is better than that of low priority cell.

  4. An Advanced Orbiting Systems Approach to Quality of Service in Space-Based Intelligent Communication Networks

    Science.gov (United States)

    Riha, Andrew P.

    2005-01-01

    As humans and robotic technologies are deployed in future constellation systems, differing traffic services will arise, e.g., realtime and non-realtime. In order to provide a quality of service framework that would allow humans and robotic technologies to interoperate over a wide and dynamic range of interactions, a method of classifying data as realtime or non-realtime is needed. In our paper, we present an approach that leverages the Consultative Committee for Space Data Systems (CCSDS) Advanced Orbiting Systems (AOS) data link protocol. Specifically, we redefine the AOS Transfer Frame Replay Flag in order to provide an automated store-and-forward approach on a per-service basis for use in the next-generation Interplanetary Network. In addition to addressing the problem of intermittent connectivity and associated services, we propose a follow-on methodology for prioritizing data through further modification of the AOS Transfer Frame.

  5. Quality of service estimation based on maximum bottleneck algorithm for domain aggregation in backbone networks

    Institute of Scientific and Technical Information of China (English)

    WANG Yang; ZHAN Yi-chun; YU Shao-hua

    2007-01-01

    This paper investigates the routing among autonomous systems (ASs) with quality of service (QoS) requirements. To avoid the intractability of the problem, abstract QoS capability must be informed among ASs, because the routhing which constrained QoS has been proved to be nondeterministic polynomial-time (NP) hard even inside an AS. This paper employs the modified Dijkstra algorithm to compute the maximum bottleneck bandwidth inside an AS. This approach lays a basis for the AS-level switching capability on which interdomain advertisement can be performed. Furthermore, the paper models the aggregated traffic in backbone network with fractional Brownian motion (FBM), and by integrating along the time axis in short intervals, a good estimation of the distribution of queue length in the next short intervals can be obtained. The proposed advertisement mechanism can be easily implemented with the current interdomain routing protocols. Numerical study indicates that the presented scheme is effective and feasible.

  6. E-BEB Algorithm to Improve Quality of Service on Wireless Ad-Hoc Networks

    Directory of Open Access Journals (Sweden)

    Mohammed Al-Hubaishi

    2012-04-01

    Full Text Available The Medium Access Control (MAC protocol is the main element which determines the system throughput in Wireless Local Area Networks (WLANs IEEE 802.11 standard. The MAC technique of the IEEE 802.11 protocol is called Distributed Coordination Function (DCF. In DCF, stations contend for the use of the channel in distributed manner via the use of the Carrier Sensing Multiple Access with Collision Avoidance (CSMA/CA protocol. In the CSMA/CA protocol, each station sets up a Backoff time according to a randomly selected interval from zero to the Contention Window (CW for an additional deferral time before transmitting. The random Binary Exponential Backoff (BEB algorithm is used to randomize moments at which stations try to access the wireless medium. However, in the random Backoff mechanism, packet collisions are not entirely eliminated, and the system throughput decreases when the number of stations is large, and there is no fairness between stations. The BEB algorithm has a number of disadvantages; one crucial disadvantage is the problem of fairness. In this paper, we analyze the behavior of the BEB algorithm used in IEEE 802.11 standard. We propose an Enhanced Binary Exponential Backoff (E-BEB algorithm to improve the fairness of the channel access for BEB algorithm. Our E-BEB algorithm adjusts the way of increase or decrease of the contention window CW based on the number of the frame which is sent successfully. We propose several configurations, and we use NS2 simulator to analyze the network's fairness of the channel access of the E-BEB algorithm. The simulation results show that compared with other algorithms like BEB or Improved BEB (IBEB, the E-BEB algorithm improves the fairness of the channel access and increases the network's throughput capacity; which is an valuable Quality of Service (QoS parameter.

  7. Modelling Nitrate uptake in river networks using the new mHM water quality model

    Science.gov (United States)

    Yang, Xiaoqiang; Sinha, Sumit; Samaniego, Luis; Kumar, Rohini; Jomaa, Seifeddine; Rode, Michael

    2016-04-01

    To understand the spatial distribution and temporal dynamics of nitrate uptake in river networks under different land use are critical for the protection of river ecosystem and drinking water supply. To this end, distributed grid-based hydrological water quality models are required. The multi-scale Hydrological Model (mHM) was integrated with the nitrate transport and reaction (NTR) routines. The main equations of NTR routines were introduced from the HYPE (Hydrological Predictions for the Environment) model, which has been fully verified in the literature. The new coupled mHM model with the NTR routines is able to calculate the hydrographs at any point and also the distribution of state variables, which makes it possible to present the distribution of inorganic nitrogen uptake in the whole river network. First, the model is successfully calibrated and validated in the Selke catchment (463 km2) using three gauging stations during the period of 1994-2004 in terms of hydrographs and inorganic nitrogen concentrations. Then, the model performance for in-stream Nitrate uptake predictions are presented and analyzed temporally and spatially, considering the Selke river network characteristics. Particularly, how much the land use affects the amount and the intra-annual dynamics of in-stream uptake are discussed using one forest-dominant sub-catchment (Meisdorf, where forest share is about 72%) with another agriculture-dominant sub-catchment (Hausneindorf, where agriculture share is about 76%). In addition, the seasonal variation of model in-stream nitrate uptake predictions are compared with calculated values using the nitrate assimilatory uptake approach generated from high frequency sensor measurements.

  8. Maximum likelihood cost functions for neural network models of air quality data

    Science.gov (United States)

    Dorling, Stephen R.; Foxall, Robert J.; Mandic, Danilo P.; Cawley, Gavin C.

    The prediction of episodes of poor air quality using artificial neural networks is investigated, concentrating on selection of the most appropriate cost function used in training. Different cost functions correspond to different distributional assumptions regarding the data, the appropriate choice depends on whether a forecast of absolute pollutant concentration or prediction of exceedence events is of principle importance. The cost functions investigated correspond to logistic regression, homoscedastic Gaussian (i.e. conventional sum-of-squares) regression and heteroscedastic Gaussian regression. Both linear and nonlinear neural network architectures are evaluated. While the results presented relate to a dataset describing the daily time-series of the concentration of surface level ozone (O 3) in urban Berlin, the methods applied are quite general and applicable to a wide range of pollutants and locations. The heteroscedastic Gaussian regression model outperforms the other nonlinear methods investigated; however, there is little improvement resulting from the use of nonlinear rather than linear models. Of greater significance is the flexibility afforded by the nonlinear heteroscedastic Gaussian regression model for a range of potential end-users, who may all have different answers to the question: "What is more important, correctly predicting exceedences or avoiding false alarms?".

  9. Hybrid Power Forecasting Model for Photovoltaic Plants Based on Neural Network with Air Quality Index

    Directory of Open Access Journals (Sweden)

    Idris Khan

    2017-01-01

    Full Text Available High concentration of greenhouse gases in the atmosphere has increased dependency on photovoltaic (PV power, but its random nature poses a challenge for system operators to precisely predict and forecast PV power. The conventional forecasting methods were accurate for clean weather. But when the PV plants worked under heavy haze, the radiation is negatively impacted and thus reducing PV power; therefore, to deal with haze weather, Air Quality Index (AQI is introduced as a parameter to predict PV power. AQI, which is an indication of how polluted the air is, has been known to have a strong correlation with power generated by the PV panels. In this paper, a hybrid method based on the model of conventional back propagation (BP neural network for clear weather and BP AQI model for haze weather is used to forecast PV power with conventional parameters like temperature, wind speed, humidity, solar radiation, and an extra parameter of AQI as input. The results show that the proposed method has less error under haze condition as compared to conventional model of neural network.

  10. Developing Countries Vaccine Manufacturers Network: doing good by making high-quality vaccines affordable for all.

    Science.gov (United States)

    Pagliusi, Sonia; Leite, Luciana C C; Datla, Mahima; Makhoana, Morena; Gao, Yongzhong; Suhardono, Mahendra; Jadhav, Suresh; Harshavardhan, Gutla V J A; Homma, Akira

    2013-04-18

    The Developing Countries Vaccine Manufacturers Network (DCVMN) is a unique model of a public and private international alliance. It assembles governmental and private organizations to work toward a common goal of manufacturing and supplying high-quality vaccines at affordable prices to protect people around the world from known and emerging infectious diseases. Together, this group of manufacturers has decades of experience in manufacturing vaccines, with technologies, know-how, and capacity to produce more than 40 vaccines types. These manufacturers have already contributed more than 30 vaccines in various presentations that have been prequalified by the World Health Organization for use by global immunization programmes. Furthermore, more than 45 vaccines are in the pipeline. Recent areas of focus include vaccines to protect against rotavirus, human papillomavirus (HPV), Japanese encephalitis, meningitis, hepatitis E, poliovirus, influenza, and pertussis, as well as combined pentavalent vaccines for children. The network has a growing number of manufacturers that produce a growing number of products to supply the growing demand for vaccines in developing countries.

  11. Computer network for improving quality and efficiency of children's primary health care

    Science.gov (United States)

    Deutsch, Larry

    1995-10-01

    Health care is at its best when both the practitioner and patient are well-informed. In many central urban and remote rural areas, however, health care is characterized by a lack of continuity and coordination among providers. In these areas, a local information infrastructure and a patient-centered system of primary care are missing. Decision-making and ability to follow through is hampered, with limited involvement of patients in planning care and insufficient aggregate data for cost analysis, outcome research, community health planning, and other purposes. A Children's Health Network has been designed to extend current information technology to these underserved areas. Our approach to improving quality of individual care and controlling costs emphasizes use of computerized clinical information networks for better decision making and continuity, and secondarily through data aggregation for financial, research, and public health functions. This is in distinction to information systems centered on billing and administrative needs and to cost-control efforts which rely on fiscal and managerial ('gatekeeper') mechanisms. A uniform data base among sites serving the same population will answer several clinical and public health needs.

  12. Oral health related quality of life in pregnant and post partum women in two social network domains; predominantly home-based and work-based networks.

    Science.gov (United States)

    Lamarca, Gabriela A; Leal, Maria do C; Leao, Anna T T; Sheiham, Aubrey; Vettore, Mario V

    2012-01-13

    Individuals connected to supportive social networks have better general and oral health quality of life. The objective of this study was to assess whether there were differences in oral health related quality of life (OHRQoL) between women connected to either predominantly home-based and work-based social networks. A follow-up prevalence study was conducted on 1403 pregnant and post-partum women (mean age of 25.2 ± 6.3 years) living in two cities in the State of Rio de Janeiro, Brazil. Women were participants in an established cohort followed from pregnancy (baseline) to post-partum period (follow-up). All participants were allocated to two groups; 1. work-based social network group--employed women with paid work, and, 2. home-based social network group--women with no paid work, housewives or unemployed women. Measures of social support and social network were used as well as questions on sociodemographic characteristics and OHRQoL and health related behaviors. Multinomial logistic regression was performed to obtain OR of relationships between occupational contexts, affectionate support and positive social interaction on the one hand, and oral health quality of life, using the Oral Health Impacts Profile (OHIP) measure, adjusted for age, ethnicity, family income, schooling, marital status and social class. There was a modifying effect of positive social interaction on the odds of occupational context on OHRQoL. The odds of having a poorer OHIP score, ≥ 4, was significantly higher for women with home-based social networks and moderate levels of positive social interactions [OR 1.64 (95% CI: 1.08-2.48)], and for women with home-based social networks and low levels of positive social interactions [OR 2.15 (95% CI: 1.40-3.30)] compared with women with work-based social networks and high levels of positive social interactions. Black ethnicity was associated with OHIP scores ≥ 4 [OR 1.73 (95% CI: 1.23-2.42)]. Pregnant and post-partum Brazilian women in paid

  13. Oral health related quality of life in pregnant and post partum women in two social network domains; predominantly home-based and work-based networks

    Directory of Open Access Journals (Sweden)

    Lamarca Gabriela A

    2012-01-01

    Full Text Available Abstract Background Individuals connected to supportive social networks have better general and oral health quality of life. The objective of this study was to assess whether there were differences in oral health related quality of life (OHRQoL between women connected to either predominantly home-based and work-based social networks. Methods A follow-up prevalence study was conducted on 1403 pregnant and post-partum women (mean age of 25.2 ± 6.3 years living in two cities in the State of Rio de Janeiro, Brazil. Women were participants in an established cohort followed from pregnancy (baseline to post-partum period (follow-up. All participants were allocated to two groups; 1. work-based social network group - employed women with paid work, and, 2. home-based social network group - women with no paid work, housewives or unemployed women. Measures of social support and social network were used as well as questions on sociodemographic characteristics and OHRQoL and health related behaviors. Multinomial logistic regression was performed to obtain OR of relationships between occupational contexts, affectionate support and positive social interaction on the one hand, and oral health quality of life, using the Oral Health Impacts Profile (OHIP measure, adjusted for age, ethnicity, family income, schooling, marital status and social class. Results There was a modifying effect of positive social interaction on the odds of occupational context on OHRQoL. The odds of having a poorer OHIP score, ≥4, was significantly higher for women with home-based social networks and moderate levels of positive social interactions [OR 1.64 (95% CI: 1.08-2.48], and for women with home-based social networks and low levels of positive social interactions [OR 2.15 (95% CI: 1.40-3.30] compared with women with work-based social networks and high levels of positive social interactions. Black ethnicity was associated with OHIP scores ≥4 [OR 1.73 (95% CI: 1

  14. New Power Quality Analysis Method Based on Chaos Synchronization and Extension Neural Network

    Directory of Open Access Journals (Sweden)

    Meng-Hui Wang

    2014-10-01

    Full Text Available A hybrid method comprising a chaos synchronization (CS-based detection scheme and an Extension Neural Network (ENN classification algorithm is proposed for power quality monitoring and analysis. The new method can detect minor changes in signals of the power systems. Likewise, prominent characteristics of system signal disturbance can be extracted by this technique. In the proposed approach, the CS-based detection method is used to extract three fundamental characteristics of the power system signal and an ENN-based clustering scheme is then applied to detect the state of the signal, i.e., normal, voltage sag, voltage swell, interruption or harmonics. The validity of the proposed method is demonstrated by means of simulations given the use of three different chaotic systems, namely Lorenz, New Lorenz and Sprott. The simulation results show that the proposed method achieves a high detection accuracy irrespective of the chaotic system used or the presence of noise. The proposed method not only achieves higher detection accuracy than existing methods, but also has low computational cost, an improved robustness toward noise, and improved scalability. As a result, it provides an ideal solution for the future development of hand-held power quality analyzers and real-time detection devices.

  15. Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters.

    Science.gov (United States)

    Zare Abyaneh, Hamid

    2014-01-01

    This paper examined the efficiency of multivariate linear regression (MLR) and artificial neural network (ANN) models in prediction of two major water quality parameters in a wastewater treatment plant. Biochemical oxygen demand (BOD) and chemical oxygen demand (COD) as well as indirect indicators of organic matters are representative parameters for sewer water quality. Performance of the ANN models was evaluated using coefficient of correlation (r), root mean square error (RMSE) and bias values. The computed values of BOD and COD by model, ANN method and regression analysis were in close agreement with their respective measured values. Results showed that the ANN performance model was better than the MLR model. Comparative indices of the optimized ANN with input values of temperature (T), pH, total suspended solid (TSS) and total suspended (TS) for prediction of BOD was RMSE = 25.1 mg/L, r = 0.83 and for prediction of COD was RMSE = 49.4 mg/L, r = 0.81. It was found that the ANN model could be employed successfully in estimating the BOD and COD in the inlet of wastewater biochemical treatment plants. Moreover, sensitive examination results showed that pH parameter have more effect on BOD and COD predicting to another parameters. Also, both implemented models have predicted BOD better than COD.

  16. Network design and quality checks in automatic orientation of close-range photogrammetric blocks.

    Science.gov (United States)

    Dall'Asta, Elisa; Thoeni, Klaus; Santise, Marina; Forlani, Gianfranco; Giacomini, Anna; Roncella, Riccardo

    2015-04-03

    Due to the recent improvements of automatic measurement procedures in photogrammetry, multi-view 3D reconstruction technologies are becoming a favourite survey tool. Rapidly widening structure-from-motion (SfM) software packages offer significantly easier image processing workflows than traditional photogrammetry packages. However, while most orientation and surface reconstruction strategies will almost always succeed in any given task, estimating the quality of the result is, to some extent, still an open issue. An assessment of the precision and reliability of block orientation is necessary and should be included in every processing pipeline. Such a need was clearly felt from the results of close-range photogrammetric surveys of in situ full-scale and laboratory-scale experiments. In order to study the impact of the block control and the camera network design on the block orientation accuracy, a series of Monte Carlo simulations was performed. Two image block configurations were investigated: a single pseudo-normal strip and a circular highly-convergent block. The influence of surveying and data processing choices, such as the number and accuracy of the ground control points, autofocus and camera calibration was investigated. The research highlights the most significant aspects and processes to be taken into account for adequate in situ and laboratory surveys, when modern SfM software packages are used, and evaluates their effect on the quality of the results of the surface reconstruction.

  17. Network Design and Quality Checks in Automatic Orientation of Close-Range Photogrammetric Blocks

    Directory of Open Access Journals (Sweden)

    Elisa Dall'Asta

    2015-04-01

    Full Text Available Due to the recent improvements of automatic measurement procedures in photogrammetry, multi-view 3D reconstruction technologies are becoming a favourite survey tool. Rapidly widening structure-from-motion (SfM software packages offer significantly easier image processing workflows than traditional photogrammetry packages. However, while most orientation and surface reconstruction strategies will almost always succeed in any given task, estimating the quality of the result is, to some extent, still an open issue. An assessment of the precision and reliability of block orientation is necessary and should be included in every processing pipeline. Such a need was clearly felt from the results of close-range photogrammetric surveys of in situ full-scale and laboratory-scale experiments. In order to study the impact of the block control and the camera network design on the block orientation accuracy, a series of Monte Carlo simulations was performed. Two image block configurations were investigated: a single pseudo-normal strip and a circular highly-convergent block. The influence of surveying and data processing choices, such as the number and accuracy of the ground control points, autofocus and camera calibration was investigated. The research highlights the most significant aspects and processes to be taken into account for adequate in situ and laboratory surveys, when modern SfM software packages are used, and evaluates their effect on the quality of the results of the surface reconstruction.

  18. [Quality management and practice-oriented research in a clinic-network of mother-/father-child rehabilitation centres].

    Science.gov (United States)

    Otto, F; Arnhold-Kerri, S

    2010-04-01

    The Research Network Prevention and Rehabilitation for Mothers and Children is an association of currently 24 rehabilitation centres for mothers, fathers and their children, and a scientific team at the Hannover Medical School. The Research Network combines practice-oriented research on mother and child health with the further development of treatment programmes and the implementation of internal quality management in mother-/father-child rehabilitation centres in accordance with DIN EN ISO 9001. The present paper describes the concept of the Research Network and the work contents addressed over the last three years. The advantages and disadvantages of this association and the changes initiated in practice were evaluated from the point of view of 19 quality managers of the participating clinics. The data were collected by means of semi-structured interviews, and a qualitative content analysis was performed in order to quantify the responses. The concept of the Research Network has proven successful. In the view of the quality managers of the clinics, implementation of DIN EN ISO 9001 has lead to structuring of the processes, improved internal communication, and increased motivation in the team. The major obstacles were the lack of time and human resources. In all clinics, the participation in practice-related research projects und scientifically monitored concept development has contributed to optimizing everyday practice. The exchange between the quality managers in external quality circle meetings was of central importance. The conjunction of internal quality management, practice-related research and concept development in a network can be recommended also for other associations of clinics, health centres or medical practices.

  19. Modelling microbiological water quality in the Seine river drainage network: past, present and future situations

    Science.gov (United States)

    Servais, P.; Billen, G.; Goncalves, A.; Garcia-Armisen, T.

    2007-09-01

    The Seine river watershed is characterized by a high population density and intense agricultural activities. Data show low microbiological water quality in the main rivers (Seine, Marne, Oise) of the watershed. Today, there is an increasing pressure from different social groups to restore microbiological water quality in order to both increase the safety of drinking water production and to restore the possible use of these rivers for bathing and rowing activities, as they were in the past. A model, appended to the hydro-ecological SENEQUE/Riverstrahler model describing the functioning of large river systems, was developed to describe the dynamics of faecal coliforms (FC), the most usual faecal contamination indicator. The model is able to calculate the distribution of FC concentrations in the whole drainage network resulting from land use and wastewater management in the watershed. The model was validated by comparing calculated FC concentrations with available field data for some well-documented situations in different river stretches of the Seine drainage network. Once validated, the model was used to test various predictive scenarios, as, for example, the impact of the modifications in wastewater treatment planned at the 2012 horizon in the Seine watershed in the scope of the implementation of the european water framework directive. The model was also used to investigate past situations. In particular, the variations of the microbiological water quality in the Parisian area due to population increase and modifications in wastewater management were estimated over the last century. It was shown that the present standards for bathing and other aquatic recreational activities are not met in the large tributaries upstream from Paris since the middle of the 1950's, and at least since the middle of the XIXth century in the main branch of the Seine river downstream from Paris. Efforts carried out for improving urban wastewater treatment in terms or organic matter and

  20. Modelling microbiological water quality in the Seine river drainage network: past, present and future situations

    Directory of Open Access Journals (Sweden)

    P. Servais

    2007-05-01

    Full Text Available The Seine river watershed is characterized by a high population density and intense agricultural activities. Data show low microbiological water quality in the main rivers (Seine, Marne, Oise of the watershed. Today, there is an increasing pressure from different social groups to restore microbiological water quality in order to both increase the safety of drinking water production and to restore the possible use of these rivers for bathing and rowing activities, as they were in the past. A model, appended to the hydro-ecological SENEQUE/Riverstrahler model describing the functioning of large river systems, was developed to describe the dynamics of faecal coliforms (FC, the most usual faecal contamination indicator. The model is able to calculate the distribution of FC abundance in the whole drainage network resulting from land use and wastewater management in the watershed. The model was validated by comparing calculated FC concentrations with available field data for some well-documented situations in different river stretches of the Seine drainage network. Once validated, the model was used to test various predictive scenarios, as, for example, the impact of the modifications in wastewater treatment planned at the 2012 horizon in the Seine watershed in the scope of the implementation of the European Water Framework Directive. The model was also used to investigate past situations. In particular, the variations of the microbiological water quality in the Parisian area due to population increase and modifications in wastewater management were estimated over the last century. It was shown that the present standards for bathing and other aquatic recreational activities are not met in the large tributaries upstream from Paris since the middle of the 1950's, and at least since the middle of the XIXth century in the main branch of the Seine river downstream from Paris. Efforts carried out for improving urban wastewater treatment in terms or

  1. Modelling microbiological water quality in the Seine river drainage network: past, present and future situations

    Directory of Open Access Journals (Sweden)

    P. Servais

    2007-09-01

    Full Text Available The Seine river watershed is characterized by a high population density and intense agricultural activities. Data show low microbiological water quality in the main rivers (Seine, Marne, Oise of the watershed. Today, there is an increasing pressure from different social groups to restore microbiological water quality in order to both increase the safety of drinking water production and to restore the possible use of these rivers for bathing and rowing activities, as they were in the past. A model, appended to the hydro-ecological SENEQUE/Riverstrahler model describing the functioning of large river systems, was developed to describe the dynamics of faecal coliforms (FC, the most usual faecal contamination indicator. The model is able to calculate the distribution of FC concentrations in the whole drainage network resulting from land use and wastewater management in the watershed. The model was validated by comparing calculated FC concentrations with available field data for some well-documented situations in different river stretches of the Seine drainage network. Once validated, the model was used to test various predictive scenarios, as, for example, the impact of the modifications in wastewater treatment planned at the 2012 horizon in the Seine watershed in the scope of the implementation of the european water framework directive. The model was also used to investigate past situations. In particular, the variations of the microbiological water quality in the Parisian area due to population increase and modifications in wastewater management were estimated over the last century. It was shown that the present standards for bathing and other aquatic recreational activities are not met in the large tributaries upstream from Paris since the middle of the 1950's, and at least since the middle of the XIXth century in the main branch of the Seine river downstream from Paris. Efforts carried out for improving urban wastewater treatment in terms

  2. In situ optical water-quality sensor networks - Workshop summary report

    Science.gov (United States)

    Pellerin, Brian A.; Bergamaschi, Brian A.; Horsburgh, Jeffery S.

    2012-01-01

    Advanced in situ optical water-quality sensors and new techniques for data analysis hold enormous promise for furthering scientific understanding of aquatic systems. These sensors measure important biogeochemical parameters for long deployments, enabling the capture of data at time scales over which they vary most meaningfully. The high-frequency, real-time water-quality data they generate provide opportunities for early warning of water-quality deterioration, trend detection, and science-based decision support. However, developing networks of optical sensors in freshwater systems that report reliable and comparable data across and between sites remains a challenge to the research and monitoring community. To address this, the U. S. Geological Survey (USGS) and the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) convened a joint 3-day workshop (June 8-10, 2011) at the National Conservation Training Center in Shepardstown, West Virginia, to explore ways to coordinate development of standards and applications for optical sensors, and improve handling, storing, and analyzing the continuous data they produce. The workshop brought together more than 60 scientists, program managers, and vendors from universities, government agencies, and the private sector. Several important outcomes emerged from the presentations and breakout sessions. There was general consensus that making intercalibrated measurements requires that both manufacturers and users better characterize and calibrate the sensors under field conditions. For example, the influence of suspended particles, highly colored water, and temperature on optical sensors remains poorly understood, but consistently accounting for these factors is critical to successful deployment and for interpreting results in different settings. This, in turn, highlights the lack of appropriate standards for sensor calibrations, field checks, and characterizing interferences, as well as methods for

  3. Dual Channel Pulse Coupled Neural Network Algorithm for Fusion of Multimodality Brain Images with Quality Analysis

    Directory of Open Access Journals (Sweden)

    Kavitha SRINIVASAN

    2014-09-01

    Full Text Available Background: In the review of medical imaging techniques, an important fact that emerged is that radiologists and physicians still are in a need of high-resolution medical images with complementary information from different modalities to ensure efficient analysis. This requirement should have been sorted out using fusion techniques with the fused image being used in image-guided surgery, image-guided radiotherapy and non-invasive diagnosis. Aim: This paper focuses on Dual Channel Pulse Coupled Neural Network (PCNN Algorithm for fusion of multimodality brain images and the fused image is further analyzed using subjective (human perception and objective (statistical measures for the quality analysis. Material and Methods: The modalities used in fusion are CT, MRI with subtypes T1/T2/PD/GAD, PET and SPECT, since the information from each modality is complementary to one another. The objective measures selected for evaluation of fused image were: Information Entropy (IE - image quality, Mutual Information (MI – deviation in fused to the source images and Signal to Noise Ratio (SNR – noise level, for analysis. Eight sets of brain images with different modalities (T2 with T1, T2 with CT, PD with T2, PD with GAD, T2 with GAD, T2 with SPECT-Tc, T2 with SPECT-Ti, T2 with PET are chosen for experimental purpose and the proposed technique is compared with existing fusion methods such as the Average method, the Contrast pyramid, the Shift Invariant Discrete Wavelet Transform (SIDWT with Harr and the Morphological pyramid, using the selected measures to ascertain relative performance. Results: The IE value and SNR value of the fused image derived from dual channel PCNN is higher than other fusion methods, shows that the quality is better with less noise. Conclusion: The fused image resulting from the proposed method retains the contrast, shape and texture as in source images without false information or information loss.

  4. Health-Related Quality of Life in Children with Autism Spectrum Disorders: Results from the Autism Treatment Network

    Science.gov (United States)

    Kuhlthau, Karen; Orlich, Felice; Hall, Trevor A.; Sikora, Darryn; Kovacs, Erica A.; Delahaye, Jennifer; Clemons, Traci E.

    2010-01-01

    We examined data collected as a part of the Autism Treatment Network, a group of 15 autism centers across the United States and Canada. Mean Health-Related Quality of Life (HRQoL) scores of the 286 children assessed were significantly lower than those of healthy populations (according to published norms). When compared to normative data from…

  5. Institutional and scientific co-operation, networking and capacity building in the field of food safety and quality

    NARCIS (Netherlands)

    Boekel, van M.A.J.S.; Meerdink, G.; Banati, D.; Marvin, H.J.P.; Kuiper, H.A.; Houtman, C.B.

    2002-01-01

    This paper explains the situation in Hungary and The Netherlands regarding scientific co-operation, networking and capacity building in the field of food quality and safety. Specific details are given about institutional co-operation including exchanges between staff and students, collaborative proj

  6. Integrating Imaging spectrometry and Neural Networks to map tropical grass quality in the Kruger National Park, South Africa

    NARCIS (Netherlands)

    Mutanga, O.; Skidmore, A.K.

    2004-01-01

    A new integrated approach, involving continuum-removed absorption features, the red edge position and neural networks, is developed and applied to map grass nitrogen concentration in an African savanna rangeland. Nitrogen, which largely determines the nutritional quality of grasslands, is commonly t

  7. Integral power evaluation in fossil fuel power plants; Evaluacion energetica integral en unidades de centrales termoelectricas

    Energy Technology Data Exchange (ETDEWEB)

    Figueroa I, Luis R; Sanchez H, Laura E; Rodriguez M, Jose H [Instituto de Investigaciones Electricas, Cuernavaca, Morelos (Mexico); Nebradt G, Jesus [Unidad de Investigacion y Desarrollo de la Subdireccion de Generacion de la Comision Federal de Electricidad, (Mexico)

    2006-07-01

    In this occasion, a methodology is presented that carries out an integral energy evaluation of fossil fuel power plants units (FFPPU) with the purpose of determining the root of the significant decrements of power produced soon after the annual maintenance service. This proposal, besides identifying the origin of the energy efficiency problems, offers information about the contributions of each one of the involved equipment in the total decrement of the unit. With this methodology, the maintenance focuses in the equipment that contributes to the greater energy loss. This document presents such methodology along with its application in a real case, results and necessary remedial actions, demonstrating that its application offers bases for the investment in corrective measures. [Spanish] En esta ocasion se presenta una metodologia que efectua una evaluacion energetica integral de las unidades de centrales termoelectricas (UCT) con el fin de determinar la raiz de los decrementos de potencia significativos producidos luego del servicio anual de mantenimiento. Dicha propuesta, ademas de identificar el origen de los problemas de eficiencia energetica, brinda informacion acerca de las aportaciones de cada uno de los equipos involucrados al decremento total de la unidad. Con esta metodologia, el mantenimiento se enfoca a los equipos que contribuyen a la mayor perdida de potencia. Este documento exhibe tal metodologia junto con su aplicacion en un caso real, resultados y las acciones correctivas necesarias, demostrando que su aplicacion ofrece bases para una inversion futura en medidas correctivas.

  8. Development and field validation of a community-engaged particulate matter air quality monitoring network in imperial, CA.

    Science.gov (United States)

    Carvlin, Graeme N; Lugo, Humberto; Olmedo, Luis; Bejarano, Ester; Wilkie, Alexa; Meltzer, Dan; Wong, Michelle; King, Galatea; Northcross, Amanda; Jerrett, Michael; English, Paul B; Hammond, Donald; Seto, Edmund

    2017-08-22

    The Imperial County Community Air Monitoring Network was developed as part of a community-engaged research study to provide real-time particulate matter (PM) air quality information at a high spatial resolution in Imperial County, California. The network augmented the few existing regulatory monitors and increased monitoring near susceptible populations. Monitors were both calibrated and field validated, a key component of evaluating the quality of the data produced by the community-monitoring network. This paper examines the performance of a customized version of the low-cost Dylos optical particle counter used in the community air monitors compared to both PM2.5 and PM10 federal equivalent method (FEM) beta-attenuation monitors (BAMs) and federal reference method (FRM) gravimetric filters at a collocation site in the study area. A conversion equation was developed that estimates particle mass concentrations from the native Dylos particle counts taking into account relative humidity. The R(2) for converted hourly averaged Dylos mass measurements and a PM2.5 BAM was 0.79 and PM10 BAM was 0.78. The performance of the conversion equation was evaluated at six other sites with collocated PM2.5 environmental beta-attenuation monitors (EBAMs) located throughout Imperial County. The agreement of the Dylos with the EBAMs was moderate to high (R(2) 0.35-0.81). Implications The performance of low-cost air quality sensors in community networks is currently not well documented. This paper provides a methodology for quantifying the performance of a next generation Dylos PM sensor used in the Imperial County Community Air Monitoring Network. This air quality network provides data at a much finer spatial and temporal resolution than has previously been possible with government monitoring efforts. Once calibrated and validated, these high-resolution data may provide more information on susceptible populations, assist in the identification of air pollution hotspots, and increase

  9. Video over cognitive radio networks when quality of service meets spectrum

    CERN Document Server

    Mao, Shiwen

    2014-01-01

    This book focuses on the problem of video streaming over emerging cognitive radio (CR) networks. The book discusses the problems and techniques for scalable video streaming over cellular cognitive radio networks, ad hoc CR networks, cooperative CR networks, and femtocell CR networks. The author formulates these problems and proposes optimal algorithms to solve these problems. Also, the book analyzes the proposed algorithms and validates the algorithms with simulations.

  10. Case study of physician leaders in quality and patient safety, and the development of a physician leadership network.

    Science.gov (United States)

    Hayes, Chris; Yousefi, Vandad; Wallington, Tamara; Ginzburg, Amir

    2010-01-01

    There is increasing recognition of the need for physician leadership in quality and patient safety, and emerging evidence that physician leadership contributes to improved care. Hospitals are beginning to establish physician leader positions; however, there is little guidance on how to define these roles and the strategies physician leaders can use toward improving care. This case study examines the roles of four physician leaders, describes their contribution to the design and implementation of hospital quality and patient safety agendas and discusses the creation of a physician network to support these activities. The positions were established between July 2006 and April 2009. All are corporate roles with varying reporting and accountability structures. The physician leads are involved in strategic planning, identifying and leading quality and safety initiatives, physician engagement and culture change. All have significantly contributed to the implementation of hospital improvement activities and are seen as influential among their peers as resources and mentors for local project success. Despite their accomplishments, these physician leads have been challenged by ambiguous role descriptions and difficulty identifying effective improvement strategies. As such, an expanding physician network was created with the goal of sharing approaches and tools and creating new strategies. Physician leaders are an important factor in the improvement of safety and quality within hospitals. This case study provides a template for the creation of such positions and highlights the importance of networking as an effective strategy for improving local care and advancing professional development of physician leaders in quality and patient safety.

  11. Dynamic quality of service differentiation using fixed code weight in optical CDMA networks

    Science.gov (United States)

    Kakaee, Majid H.; Essa, Shawnim I.; Abd, Thanaa H.; Seyedzadeh, Saleh

    2015-11-01

    The emergence of network-driven applications, such as internet, video conferencing, and online gaming, brings in the need for a network the environments with capability of providing diverse Quality of Services (QoS). In this paper, a new code family of novel spreading sequences, called a Multi-Service (MS) code, has been constructed to support multiple services in Optical- Code Division Multiple Access (CDMA) system. The proposed method uses fixed weight for all services, however reducing the interfering codewords for the users requiring higher QoS. The performance of the proposed code is demonstrated using mathematical analysis. It shown that the total number of served users with satisfactory BER of 10-9 using NB=2 is 82, while they are only 36 and 10 when NB=3 and 4 respectively. The developed MS code is compared with variable-weight codes such as Variable Weight-Khazani Syed (VW-KS) and Multi-Weight-Random Diagonal (MW-RD). Different numbers of basic users (NB) are used to support triple-play services (audio, data and video) with different QoS requirements. Furthermore, reference to the BER of 10-12, 10-9, and 10-3 for video, data and audio, respectively, the system can support up to 45 total users. Hence, results show that the technique can clearly provide a relative QoS differentiation with lower value of basic users can support larger number of subscribers as well as better performance in terms of acceptable BER of 10-9 at fixed code weight.

  12. Sleep Quality in Medical Students; the Impact of Over-Use of Mobile Cell-Phone and Social Networks.

    Science.gov (United States)

    Mohammadbeigi, Abolfazl; Absari, Rozita; Valizadeh, Farzaneh; Saadati, Mohammadreza; Sharifimoghadam, Soroush; Ahmadi, Ali; Mokhtari, Mohsen; Ansari, Hossein

    2016-01-01

    Poor sleep quality is closely associated with lifestyle habits including use of mobile cell-phones.This study aimed to identify the relationship between sleep quality due to abuse in mobile cell-phones and engagement in social networks. This cross-sectional study was conducted on 380 undergraduate students selected by proportional stratified sampling in Qom, Iran in 2015. Data were collected by two standard questionnaire including Cell-Phone Over-Use Scale (COS) and Pittsburgh sleep quality questionnaire beside the status of usage in cell-phone social networks. T-test, chi-square, Pearson correlation coefficient and multivariate logistic regression were used in data analysis. The mean age of participants was 21.8 ±3.2 yr, 69.1% were female, and 11.7% were married. The mean of COS and sleep quality scores were 48.18 ±17.5 and 5.38 ±2.31, respectively. The prevalence of over-use of cell phone was 10.7% (CI 0.95; 8.8%, 12.6%) and the prevalence of poor sleep quality was 61.7% (CI 0.95; 57.1%, 66.3%). The mean of all aspects and total score of sleep quality showed a direct significant association by cell-phone addiction score except sleep duration score that was inversely. Based on multivariate analysis affected to cell-phone addiction, being male gender and studying in general physician level are the most important predictors of poor sleep quality. Over use of internet and social networks via smart phones is related to poor sleep quality and quantity. Predefined sport programs, educational, cultural, and interesting entertainment are the essential needs for all medical students. These interventions are more important especially for male students who have longer educational.

  13. The spatial structure and temporal synchrony of water quality in stream networks

    Science.gov (United States)

    Abbott, Benjamin; Gruau, Gerard; Zarneske, Jay; Barbe, Lou; Gu, Sen; Kolbe, Tamara; Thomas, Zahra; Jaffrezic, Anne; Moatar, Florentina; Pinay, Gilles

    2017-04-01

    To feed nine billion people in 2050 while maintaining viable aquatic ecosystems will require an understanding of nutrient pollution dynamics throughout stream networks. Most regulatory frameworks such as the European Water Framework Directive and U.S. Clean Water Act, focus on nutrient concentrations in medium to large rivers. This strategy is appealing because large rivers integrate many small catchments and total nutrient loads drive eutrophication in estuarine and oceanic ecosystems. However, there is growing evidence that to understand and reduce downstream nutrient fluxes we need to look upstream. While headwater streams receive the bulk of nutrients in river networks, the relationship between land cover and nutrient flux often breaks down for small catchments, representing an important ecological unknown since 90% of global stream length occurs in catchments smaller than 15 km2. Though continuous monitoring of thousands of small streams is not feasible, what if we could learn what we needed about where and when to implement monitoring and conservation efforts with periodic sampling of headwater catchments? To address this question we performed repeat synoptic sampling of 56 nested catchments ranging in size from 1 to 370 km2 in western France. Spatial variability in carbon and nutrient concentrations decreased non-linearly as catchment size increased, with thresholds in variance for organic carbon and nutrients occurring between 36 and 68 km2. While it is widely held that temporal variance is higher in smaller streams, we observed consistent temporal variance across spatial scales and the ranking of catchments based on water quality showed strong synchrony in the water chemistry response to seasonal variation and hydrological events. We used these observations to develop two simple management frameworks. The subcatchment leverage concept proposes that mitigation and restoration efforts are more likely to succeed when implemented at spatial scales expressing

  14. Development of a web-based support system for both homogeneous and heterogeneous air quality control networks: process and product.

    Science.gov (United States)

    Andrade, J; Ares, J; García, R; Presa, J; Rodríguez, S; Piñeiro-Iglesias, M; López-Mahía, P; Muniategui, S; Prada, D

    2007-10-01

    The Environmental Laboratories Automation Software System or PALMA (Spanish abbreviation) was developed by a multidisciplinary team in order to support the main tasks of heterogeneous air quality control networks. The software process for PALMA development, which can be perfectly applied to similar multidisciplinary projects, was (a) well-defined, (b) arranged between environmental technicians and informatics, (c) based on quality guides, and (d) clearly user-centred. Moreover, it introduces some interesting advantages with regard to the classical step-by-step approaches. PALMA is a web-based system that allows 'off-line' and automated telematic data acquisition from distributed inmission stations belonging not only to homogeneous but also to heterogeneous air quality control networks. It provides graphic and tabular representations for a comprehensive and centralised analysis of acquired data, and considers the daily work that is associated with such networks: validation of the acquired data, alerts with regard to (periodical) tasks (e.g., analysers verification), downloading of files with environmental information (e.g., dust forecasts), etc. The implantation of PALMA has provided qualitative and quantitative improvements in the work performed by the people in charge of the considered control network.

  15. High-Density, High-Resolution, Low-Cost Air Quality Sensor Networks for Urban Air Monitoring

    Science.gov (United States)

    Mead, M. I.; Popoola, O. A.; Stewart, G.; Bright, V.; Kaye, P.; Saffell, J.

    2012-12-01

    Monitoring air quality in highly granular environments such as urban areas which are spatially heterogeneous with variable emission sources, measurements need to be made at appropriate spatial and temporal scales. Current routine air quality monitoring networks generally are either composed of sparse expensive installations (incorporating e.g. chemiluminescence instruments) or higher density low time resolution systems (e.g. NO2 diffusion tubes). Either approach may not accurately capture important effects such as pollutant "hot spots" or adequately capture spatial (or temporal) variability. As a result, analysis based on data from traditional low spatial resolution networks, such as personal exposure, may be inaccurate. In this paper we present details of a sophisticated, low-cost, multi species (gas phase, speciated PM, meteorology) air quality measurement network methodology incorporating GPS and GPRS which has been developed for high resolution air quality measurements in urban areas. Sensor networks developed in the Centre for Atmospheric Science (University of Cambridge) incorporated electrochemical gas sensors configured for use in urban air quality studies operating at parts-per-billion (ppb) levels. It has been demonstrated that these sensors can be used to measure key air quality gases such as CO, NO and NO2 at the low ppb mixing ratios present in the urban environment (estimated detection limits work, a state of the art multi species instrument package for deployment in scalable sensor networks has been developed which has general applicability. This is currently being employed as part of a major 3 year UK program at London Heathrow airport (the Sensor Networks for Air Quality (SNAQ) Heathrow project). The main project outcome is the creation of a calibrated, high spatial and temporal resolution data set for O3, NO, NO2, SO2, CO, CO2, VOCstotal, size-speciated PM, temperature, relative humidity, wind speed and direction. The network incorporates existing

  16. Using heuristic algorithms for capacity leasing and task allocation issues in telecommunication networks under fuzzy quality of service constraints

    Science.gov (United States)

    Huseyin Turan, Hasan; Kasap, Nihat; Savran, Huseyin

    2014-03-01

    Nowadays, every firm uses telecommunication networks in different amounts and ways in order to complete their daily operations. In this article, we investigate an optimisation problem that a firm faces when acquiring network capacity from a market in which there exist several network providers offering different pricing and quality of service (QoS) schemes. The QoS level guaranteed by network providers and the minimum quality level of service, which is needed for accomplishing the operations are denoted as fuzzy numbers in order to handle the non-deterministic nature of the telecommunication network environment. Interestingly, the mathematical formulation of the aforementioned problem leads to the special case of a well-known two-dimensional bin packing problem, which is famous for its computational complexity. We propose two different heuristic solution procedures that have the capability of solving the resulting nonlinear mixed integer programming model with fuzzy constraints. In conclusion, the efficiency of each algorithm is tested in several test instances to demonstrate the applicability of the methodology.

  17. Towards a Diagnostic Instrument to Identify Improvement Opportunities for Quality Controlled Logistics in Agrifood Supply Chain Networks

    Directory of Open Access Journals (Sweden)

    Jack G.A.J. van der Vorst

    2011-10-01

    Full Text Available  Western-European consumers have become not only more demanding on product availability in retail outlets but also on other food attributes such as quality, integrity, and safety. When (redesigning food supply-chain networks, from a logistics point of view, one has to consider these demands next to traditional efficiency and responsiveness requirements. The concept ‘quality controlled logistics’ (QCL hypothesizes that if product quality in each step of the supply chain can be predicted in advance, goods flows can be controlled in a pro-active manner and better chain designs can be established resulting in higher product availability, constant quality, and less product losses. The paper discusses opportunities of using real-time product quality information for improvement of the design and management of ‘AgriFood Supply Chain Networks’, and presents a preliminary diagnostic instrument for assessment of ‘critical quality’ and ‘logistics control’ points in the supply chain network. Results of a tomato-chain case illustrate the added value of the QCL concept for identifying improvement opportunities in the supply chain as to increase both product availability and quality. Future research aims for the further development of the diagnostic instrument and the quantification of costs and benefits of QCL scenarios.

  18. Sound quality recognition using optimal wavelet-packet transform and artificial neural network methods

    Science.gov (United States)

    Xing, Y. F.; Wang, Y. S.; Shi, L.; Guo, H.; Chen, H.

    2016-01-01

    According to the human perceptional characteristics, a method combined by the optimal wavelet-packet transform and artificial neural network, so-called OWPT-ANN model, for psychoacoustical recognition is presented. Comparisons of time-frequency analysis methods are performed, and an OWPT with 21 critical bands is designed for feature extraction of a sound, as is a three-layer back-propagation ANN for sound quality (SQ) recognition. Focusing on the loudness and sharpness, the OWPT-ANN model is applied on vehicle noises under different working conditions. Experimental verifications show that the OWPT can effectively transfer a sound into a time-varying energy pattern as that in the human auditory system. The errors of loudness and sharpness of vehicle noise from the OWPT-ANN are all less than 5%, which suggest a good accuracy of the OWPT-ANN model in SQ recognition. The proposed methodology might be regarded as a promising technique for signal processing in the human-hearing related fields in engineering.

  19. Value of information analysis for groundwater quality monitoring network design Case study: Eocene Aquifer, Palestine

    Science.gov (United States)

    Khader, A.; McKee, M.

    2010-12-01

    Value of information (VOI) analysis evaluates the benefit of collecting additional information to reduce or eliminate uncertainty in a specific decision-making context. It makes explicit any expected potential losses from errors in decision making due to uncertainty and identifies the “best” information collection strategy as one that leads to the greatest expected net benefit to the decision-maker. This study investigates the willingness to pay for groundwater quality monitoring in the Eocene Aquifer, Palestine, which is an unconfined aquifer located in the northern part of the West Bank. The aquifer is being used by 128,000 Palestinians to fulfill domestic and agricultural demands. The study takes into account the consequences of pollution and the options the decision maker might face. Since nitrate is the major pollutant in the aquifer, the consequences of nitrate pollution were analyzed, which mainly consists of the possibility of methemoglobinemia (blue baby syndrome). In this case, the value of monitoring was compared to the costs of treating for methemoglobinemia or the costs of other options like water treatment, using bottled water or importing water from outside the aquifer. And finally, an optimal monitoring network that takes into account the uncertainties in recharge (climate), aquifer properties (hydraulic conductivity), pollutant chemical reaction (decay factor), and the value of monitoring is designed by utilizing a sparse Bayesian modeling algorithm called a relevance vector machine.

  20. Service Quality Assessment for NASA's Deep Space Network: No Longer a Luxury

    Science.gov (United States)

    Barkley, Erik; Wolgast, Paul; Zendejas, Silvino

    2010-01-01

    When NASA's Deep Space Network (DSN) was established almost a half century ago, the concept of computer-based service delivery was impractical or infeasible due to the state of information technology As a result, the interface the DSN exposes to its customers tends to be equipment-centric, lacking a clear demarcation between the DSN and the mission operation systems (MOS) of its customers. As the number of customers has continued to increase, the need to improve efficiency and minimize costs has grown. This growth has been the impetus for a DSN transformation from an equipment-forrent provider to a provider of standard services. Service orientation naturally leads to requirements for service management, including proactive measurement of service quality and service levels as well as the efficiency of internal processes and the performance of service provisioning systems. DSN System Engineering has surveyed industry offerings to determine if commercial successes in decision support and Business Intelligence (BI) solutions can be applied to the DSN. A pilot project was initiated, and subsequently executed to determine the feasibility of repurposing a commercial Business Intelligence platform for engineering analysis in conjunction with the platform's intended business reporting and analysis functions.

  1. Service Quality Assessment for NASA's Deep Space Network: No Longer a Luxury

    Science.gov (United States)

    Barkley, Erik; Wolgast, Paul; Zendejas, Silvino

    2010-01-01

    When NASA's Deep Space Network (DSN) was established almost a half century ago, the concept of computer-based service delivery was impractical or infeasible due to the state of information technology As a result, the interface the DSN exposes to its customers tends to be equipment-centric, lacking a clear demarcation between the DSN and the mission operation systems (MOS) of its customers. As the number of customers has continued to increase, the need to improve efficiency and minimize costs has grown. This growth has been the impetus for a DSN transformation from an equipment-forrent provider to a provider of standard services. Service orientation naturally leads to requirements for service management, including proactive measurement of service quality and service levels as well as the efficiency of internal processes and the performance of service provisioning systems. DSN System Engineering has surveyed industry offerings to determine if commercial successes in decision support and Business Intelligence (BI) solutions can be applied to the DSN. A pilot project was initiated, and subsequently executed to determine the feasibility of repurposing a commercial Business Intelligence platform for engineering analysis in conjunction with the platform's intended business reporting and analysis functions.

  2. A feed-forward Hopfield neural network algorithm (FHNNA) with a colour satellite image for water quality mapping

    Science.gov (United States)

    Asal Kzar, Ahmed; Mat Jafri, M. Z.; Hwee San, Lim; Al-Zuky, Ali A.; Mutter, Kussay N.; Hassan Al-Saleh, Anwar

    2016-06-01

    There are many techniques that have been given for water quality problem, but the remote sensing techniques have proven their success, especially when the artificial neural networks are used as mathematical models with these techniques. Hopfield neural network is one type of artificial neural networks which is common, fast, simple, and efficient, but it when it deals with images that have more than two colours such as remote sensing images. This work has attempted to solve this problem via modifying the network that deals with colour remote sensing images for water quality mapping. A Feed-forward Hopfield Neural Network Algorithm (FHNNA) was modified and used with a satellite colour image from type of Thailand earth observation system (THEOS) for TSS mapping in the Penang strait, Malaysia, through the classification of TSS concentrations. The new algorithm is based essentially on three modifications: using HNN as feed-forward network, considering the weights of bitplanes, and non-self-architecture or zero diagonal of weight matrix, in addition, it depends on a validation data. The achieved map was colour-coded for visual interpretation. The efficiency of the new algorithm has found out by the higher correlation coefficient (R=0.979) and the lower root mean square error (RMSE=4.301) between the validation data that were divided into two groups. One used for the algorithm and the other used for validating the results. The comparison was with the minimum distance classifier. Therefore, TSS mapping of polluted water in Penang strait, Malaysia, can be performed using FHNNA with remote sensing technique (THEOS). It is a new and useful application of HNN, so it is a new model with remote sensing techniques for water quality mapping which is considered important environmental problem.

  3. Using inferential sensors for quality control of Everglades Depth Estimation Network water-level data

    Science.gov (United States)

    Petkewich, Matthew D.; Daamen, Ruby C.; Roehl, Edwin A.; Conrads, Paul A.

    2016-09-29

    The Everglades Depth Estimation Network (EDEN), with over 240 real-time gaging stations, provides hydrologic data for freshwater and tidal areas of the Everglades. These data are used to generate daily water-level and water-depth maps of the Everglades that are used to assess biotic responses to hydrologic change resulting from the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan. The generation of EDEN daily water-level and water-depth maps is dependent on high quality real-time data from water-level stations. Real-time data are automatically checked for outliers by assigning minimum and maximum thresholds for each station. Small errors in the real-time data, such as gradual drift of malfunctioning pressure transducers, are more difficult to immediately identify with visual inspection of time-series plots and may only be identified during on-site inspections of the stations. Correcting these small errors in the data often is time consuming and water-level data may not be finalized for several months. To provide daily water-level and water-depth maps on a near real-time basis, EDEN needed an automated process to identify errors in water-level data and to provide estimates for missing or erroneous water-level data.The Automated Data Assurance and Management (ADAM) software uses inferential sensor technology often used in industrial applications. Rather than installing a redundant sensor to measure a process, such as an additional water-level station, inferential sensors, or virtual sensors, were developed for each station that make accurate estimates of the process measured by the hard sensor (water-level gaging station). The inferential sensors in the ADAM software are empirical models that use inputs from one or more proximal stations. The advantage of ADAM is that it provides a redundant signal to the sensor in the field without the environmental threats associated with field conditions at stations (flood or hurricane, for example). In the

  4. The impact of the social network, stigma and empowerment on the quality of life in patients with schizophrenia.

    Science.gov (United States)

    Sibitz, I; Amering, M; Unger, A; Seyringer, M E; Bachmann, A; Schrank, B; Benesch, T; Schulze, B; Woppmann, A

    2011-01-01

    The quality of life (QOL) of patients with schizophrenia has been found to be positively correlated with the social network and empowerment, and negatively correlated with stigma and depression. However, little is known about the way these variables impact on the QOL. The study aims to test the hypothesis that the social network, stigma and empowerment directly and indirectly by contributing to depression influence the QOL in patients with schizophrenia and schizoaffective disorders. Data were collected on demographic and clinical variables, internalized stigma, perceived devaluation and discrimination, empowerment, control convictions, depression and QOL. Structural equation modelling (SEM) was applied to examine the impact of the above-mentioned constructs on QOL. The influences of the social network, stigma, empowerment and depression on QOL were supported by the SEM. A poor social network contributed to a lack of empowerment and stigma, which resulted in depression and, in turn, in poor QOL. Interestingly, however, the social network and stigma did not show a direct effect on QOL. Following a recovery approach in mental health services by focusing on the improvement of the social network, stigma reduction and especially on the development of personal strength has the potential to reduce depression in patients with psychosis and improving their QOL. Copyright © 2010 Elsevier Masson SAS. All rights reserved.

  5. Architecture's models: Integral thermal evaluation; Modelos en arquitectura: evaluacion termica integral

    Energy Technology Data Exchange (ETDEWEB)

    Roset, Jaume [Universidad Politecnica de Cataluna, Barcelona (Spain); Marincic, Irene; Ochoa, J. Manuel [Universidad de Sonora, Hermosillo, Sonora (Mexico)

    2000-07-01

    fin, se utilizan modelos que representen tanto la descripcion de los objetos y conceptos arquitectonicos, como las hipotesis sobre su comportamiento espacio-temporal. La cantidad y tipo de informacion que es necesario suministrar a un modelo para hacerlo operativo ha sido, y es, objeto de grandes controversias. La cuestion es: hasta que punto son mas utiles modelos con gran cantidad de entradas que otros mas simples? Entendiendo por modelos simples aquellos que habitualmente contienen cierta cantidad de coeficientes empiricos, lo que reduce el numero de datos, llevando el calculo a una aproximacion. Por otro lado, en el dominio de la arquitectura la informacion se presenta de manera habitual, sobre soportes de diferente tipo (tablas de valores numericos, planos, maquetas, ...). Las informaciones suministradas en cada tipo de soporte deben, necesariamente, ser combinadas de manera que se maximice la informacion contenida sobre el sistema global. En este trabajo, presentamos ejemplos referentes a estudios termicos que hemos realizado sobre diferentes maneras de abordar la evaluacion de modelos variables relacionados con el comportamiento termico de los edificios, la interaccion de estos con el medio ambiente que los rodea y su influencia sobre el confort en el interior de los mismos. Como conclusion general, podriamos decir que un modelo deberia tener las minimas entradas posibles con las cuales abordar los efectos mas significativos, que puedan representar de la manera mas aproximada posible al comportamiento real. Las hipotesis y condiciones de evaluacion de estos efectos deben ser comprendidas y asumidas por el usuario.

  6. Including 10-Gigabit-capable Passive Optical Network under End-to-End Generalized Multi-Protocol Label Switching Provisioned Quality of Service

    DEFF Research Database (Denmark)

    Brewka, Lukasz Jerzy; Gavler, Anders; Wessing, Henrik

    2012-01-01

    End-to-end quality of service provisioning is still a challenging task despite many years of research and development in this area. Considering a generalized multi-protocol label switching based core/metro network and resource reservation protocol capable home gateways, it is the access part...... of the network where quality of service signaling is bridged. This article proposes strategies for generalized multi-protocol label switching control over next emerging passive optical network standard, i.e., the 10-gigabit-capable passive optical network. Node management and resource allocation approaches...... are discussed, and possible issues are raised. The analysis shows that consideration of a 10-gigabit-capable passive optical network as a generalized multi-protocol label switching controlled domain is valid and may advance end-to-end quality of service provisioning for passive optical network based customers....

  7. RASGOS DEL TEMPERAMENTO DE LOS PERROS DOMÉSTICOS (CANIS FAMILIARIS: EVALUACIONES CONDUCTUALES

    Directory of Open Access Journals (Sweden)

    ADRIANA JAKOVCEVIC

    2009-08-01

    Full Text Available

    Los rasgos del temperamento se definen como tendencias conductuales estables entre situaciones similares y a lo largo del tiempo. En el presente trabajo se revisan las pruebas conductuales diseñadas para la evaluación de rasgos aislados del temperamento en los perros domésticos. Para cada dimensión se describen los estímulos empleados, las respuestas evaluadas y el correlato fisiológico de las mismas. Los rasgos más estudiados fueron la temerosidad, la agresividad y la sociabilidad. Sin embargo, sólo la primera cuenta con correlatos fisiológicos bien establecidos. Finalmente, las evaluaciones conductuales resultan de suma importancia para la selección de los perros para las distintas funciones que cumplen en la sociedad humana: detección de drogas, compañía, guardia, rescate de personas, etc.

  8. VISIÓN Y OLFATO EN LAS EVALUACIONES DE ATRACTIVO QUE HACEN HOMBRES HOMOSEXUALES

    Directory of Open Access Journals (Sweden)

    JOSÉ MARÍA JIMÉNEZ ORVAÑANOS

    2013-01-01

    Full Text Available Las investigaciones sobre el papel de los sentidos en la elección de pareja que hacen hombres y mujeres han confirmado la presencia de procesos a nivel neurofisiológico cuya influencia va más allá de las decisiones conscientes que pudieran tomarse en cuanto a la pareja con la que deciden estar. Sin embargo, la mayoría de las investigaciones realizadas hasta ahora tienen un enfoque en parejas heterosexuales y son pocos los estudios que examinan el papel de los sentidos en la elección de pareja que hacen las personas homosexuales. El objetivo del estudio realizado fue evaluar la importancia y la relación que tienen el olfato y la visión en la atracción de hombres homosexuales hacia hombres, tanto hetero como homosexuales. Un grupo de 14 hombres homosexuales evaluó el atractivo de fotografías y camisetas (remera de algodón de mangas cortas provenientes de hombres hetero y homosexuales. Los resultados indicaron que el olor de las camisetas utilizadas por hombres homosexuales resultó significativamente más atractivo que el olor de las camisetas utilizadas por hombres heterosexuales en las evaluaciones realizadas. Por otra parte, se realizaron análisis de regresión múltiple y sus resultados mostraron que el atractivo del olor de las camisetas utilizadas por hombres homosexuales predice significativamente el atractivo global de estos hombres. Estos resultados sugieren la presencia de una capacidad en hombres homosexuales para distinguir inconscientemente a hombres heterosexuales de hombres homosexuales a partir de estímulos olfativos, lo que a su vez apunta a una constitución neurofisiológica en particular, invitando a realizar más investigaciones en el tema.

  9. Application of Multivariate Statistical Methods to Optimize Water Quality Monitoring Network with Emphasis on the Pollution Caused by Fish Farms.

    Science.gov (United States)

    Tavakol, Mitra; Arjmandi, Reza; Shayeghi, Mansoureh; Monavari, Seyed Masoud; Karbassi, Abdolreza

    2017-01-01

    One of the key issues in determining the quality of water in rivers is to create a water quality control network with a suitable performance. The measured qualitative variables at stations should be representative of all the changes in water quality in water systems. Since the increase in water quality monitoring stations increases annual monitoring costs, recognition of the stations with higher importance as well as main parameters can be effective in future decisions to improve the existing monitoring network. Sampling was carried out on 12 physical and chemical parameters measured at 15 stations during 2013-2014 in Haraz River, northern Iran. The results of the measurements were analyzed using multivariate statistical analysis methods including cluster analysis (CA), principal component analysis (PCA), factor analysis (FA), and discriminant analysis (DA). According to the CA, PCA, and FA, the stations were divided into three groups of high pollution, medium pollution, and low pollution. The research findings confirm applicability of multivariate statistical techniques in the interpretation of large data sets, water quality assessment, and source apportionment of different pollution sources.

  10. NETWORK PERFORMANCE AND QUALITY OF SERVICE EVALUATION OF GSM PROVIDERS IN NIGERIA: A CASE STUDY OF LAGOS STATE

    OpenAIRE

    Agubor C.K., Chukwuchekwa N.C, Atimati E.E., Iwuchukwu U.C., Ononiwu G.C.

    2016-01-01

    Network performance and quality of service evaluation of GSM Providers in Nigeria is presented in this paper.. The study used Lagos State of Nigeria as a case study in which three major towns – Ikoyi, Abule-Egba and Agege were covered. Since the commencement of GSM services in the country, the quality of service (QoS) being delivered by the four major Operators - MTN, GLO, Etisalat and Airtel, has been an issue of concern both to the subscribers and the national regulatory body. For this reas...

  11. The national improvement partnership network: state-based partnerships that improve primary care quality.

    Science.gov (United States)

    Shaw, Judith S; Norlin, Chuck; Gillespie, R J; Weissman, Mark; McGrath, Jane

    2013-01-01

    Improvement partnerships (IPs) are a model for collaboration among public and private organizations that share interests in improving child health and the quality of health care delivered to children. Their partners typically include state public health and Medicaid agencies, the local chapter of the American Academy of Pediatrics, and an academic health care organization or children's hospital. Most IPs also engage other partners, including a variety of public, private, and professional organizations and individuals. IPs lead and support measurement-based, systems-focused quality improvement (QI) efforts that primarily target primary care practices that care for children. Their projects are most often conducted as learning collaboratives that involve a team from each of 8 to 15 participating practices over 9 to 12 months. The improvement teams typically include a clinician, office manager, clinical staff (nurses or medical assistants), and, for some projects, a parent; the IPs provide the staff and local infrastructure. The projects target clinical topics, chosen because of their importance to public health, local clinicians, and funding agencies, including asthma, attention-deficit/hyperactivity disorder, autism, developmental screening, obesity, mental health, medical home implementation, and several others. Over the past 13 years, 19 states have developed (and 5 are exploring developing) IPs. These organizations share similar aims and methods but differ substantially in leadership, structure, funding, and longevity. Their projects generally engage pediatric and family medicine practices ranging from solo private practices to community health centers to large corporate practices. The practices learn about the project topic and about QI, develop specific improvement strategies and aims that align with the project aims, perform iterative measures to evaluate and guide their improvements, and implement systems and processes to support and sustain those improvements

  12. Effects of Primary Care Team Social Networks on Quality of Care and Costs for Patients With Cardiovascular Disease

    Science.gov (United States)

    Mundt, Marlon P.; Gilchrist, Valerie J.; Fleming, Michael F.; Zakletskaia, Larissa I.; Tuan, Wen-Jan; Beasley, John W.

    2015-01-01

    PURPOSE Cardiovascular disease is the leading cause of mortality and morbidity in the United States. Primary care teams can be best suited to improve quality of care and lower costs for patients with cardiovascular disease. This study evaluates the associations between primary care team communication, interaction, and coordination (ie, social networks); quality of care; and costs for patients with cardiovascular disease. METHODS Using a sociometric survey, 155 health professionals from 31 teams at 6 primary care clinics identified with whom they interact daily about patient care. Social network analysis calculated variables of density and centralization representing team interaction structures. Three-level hierarchical modeling evaluated the link between team network density, centralization, and number of patients with a diagnosis of cardiovascular disease for controlled blood pressure and cholesterol, counts of urgent care visits, emergency department visits, hospital days, and medical care costs in the previous 12 months. RESULTS Teams with dense interactions among all team members were associated with fewer hospital days (rate ratio [RR] = 0.62; 95% CI, 0.50–0.77) and lower medical care costs (−$556; 95% CI, −$781 to −$331) for patients with cardiovascular disease. Conversely, teams with interactions revolving around a few central individuals were associated with increased hospital days (RR = 1.45; 95% CI, 1.09–1.94) and greater costs ($506; 95% CI, $202–$810). Team-shared vision about goals and expectations mediated the relationship between social network structures and patient quality of care outcomes. CONCLUSIONS Primary care teams that are more interconnected and less centralized and that have a shared team vision are better positioned to deliver high-quality cardiovascular disease care at a lower cost. PMID:25755035

  13. An exploratory analysis of network characteristics and quality of interactions among public health collaboratives

    Directory of Open Access Journals (Sweden)

    Danielle M. Varda

    2012-06-01

    Full Text Available While the benefits of collaboration have become widely accepted and the practice of collaboration is growing within the public health system, a paucity of research exists that examines factors and mechanisms related to effective collaboration between public health and their partner organizations. The purpose of this paper is to address this gap by exploring the structural and organizational characteristics of public health collaboratives. Design and Methods. Using both social network analysis and traditional statistical methods, we conduct an exploratory secondary data analysis of 11 public health collaboratives chosen from across the United States. All collaboratives are part of the PARTNER (www.partnertool.net database. We analyze data to identify relational patterns by exploring the structure (the way that organizations connect and exchange relationships, in relation to perceptions of value and trust, explanations for varying reports of success, and factors related to outcomes. We describe the characteristics of the collaboratives, types of resource contributions, outcomes of the collaboratives, perceptions of success, and reasons for success. We found high variation and significant differences within and between these collaboratives including perceptions of success. There were significant relationships among various factors such as resource contributions, reasons cited for success, and trust and value perceived by organizations. We find that although the unique structure of each collaborative makes it challenging to identify a specific set of factors to determine when a collaborative will be successful, the organizational characteristics and interorganizational dynamics do appear to impact outcomes. We recommend a quality improvement process that suggests matching assessment to goals and developing action steps for performance improvement.

  14. An Exploratory Analysis of Network Characteristics and Quality of Interactions among Public Health Collaboratives.

    Science.gov (United States)

    Varda, Danielle M; Retrum, Jessica H

    2012-06-15

    While the benefits of collaboration have become widely accepted and the practice of collaboration is growing within the public health system, a paucity of research exists that examines factors and mechanisms related to effective collaboration between public health and their partner organizations. The purpose of this paper is to address this gap by exploring the structural and organizational characteristics of public health collaboratives. Design and Methods. Using both social network analysis and traditional statistical methods, we conduct an exploratory secondary data analysis of 11 public health collaboratives chosen from across the United States. All collaboratives are part of the PARTNER (www.partnertool.net) database. We analyze data to identify relational patterns by exploring the structure (the way that organizations connect and exchange relationships), in relation to perceptions of value and trust, explanations for varying reports of success, and factors related to outcomes. We describe the characteristics of the collaboratives, types of resource contributions, outcomes of the collaboratives, perceptions of success, and reasons for success. We found high variation and significant differences within and between these collaboratives including perceptions of success. There were significant relationships among various factors such as resource contributions, reasons cited for success, and trust and value perceived by organizations. We find that although the unique structure of each collaborative makes it challenging to identify a specific set of factors to determine when a collaborative will be successful, the organizational characteristics and interorganizational dynamics do appear to impact outcomes. We recommend a quality improvement process that suggests matching assessment to goals and developing action steps for performance improvement. the authors would like to thank the Robert Wood Johnson Foundation's Public Health Program for funding for this research.

  15. Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring.

    Science.gov (United States)

    Sun, Li; Wong, Ka Chun; Wei, Peng; Ye, Sheng; Huang, Hao; Yang, Fenhuan; Westerdahl, Dane; Louie, Peter K K; Luk, Connie W Y; Ning, Zhi

    2016-02-05

    This study presents the development and evaluation of a next generation air monitoring system with both laboratory and field tests. A multi-parameter algorithm was used to correct for the impact of environmental conditions on the electrochemical sensors for carbon monoxide (CO) and nitrogen dioxide (NO2) pollutants. The field evaluation in an urban roadside environment in comparison to designated monitors showed good agreement with measurement error within 5% of the pollutant concentrations. Multiple sets of the developed system were then deployed in the Hong Kong Marathon 2015 forming a sensor-based network along the marathon route. Real-time air pollution concentration data were wirelessly transmitted and the Air Quality Health Index (AQHI) for the Green Marathon was calculated, which were broadcast to the public on an hourly basis. The route-specific sensor network showed somewhat different pollutant patterns than routine air monitoring, indicating the immediate impact of traffic control during the marathon on the roadside air quality. The study is one of the first applications of a next generation sensor network in international sport events, and it demonstrated the usefulness of the emerging sensor-based air monitoring technology in rapid network deployment to supplement existing air monitoring.

  16. Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring

    Directory of Open Access Journals (Sweden)

    Li Sun

    2016-02-01

    Full Text Available This study presents the development and evaluation of a next generation air monitoring system with both laboratory and field tests. A multi-parameter algorithm was used to correct for the impact of environmental conditions on the electrochemical sensors for carbon monoxide (CO and nitrogen dioxide (NO2 pollutants. The field evaluation in an urban roadside environment in comparison to designated monitors showed good agreement with measurement error within 5% of the pollutant concentrations. Multiple sets of the developed system were then deployed in the Hong Kong Marathon 2015 forming a sensor-based network along the marathon route. Real-time air pollution concentration data were wirelessly transmitted and the Air Quality Health Index (AQHI for the Green Marathon was calculated, which were broadcast to the public on an hourly basis. The route-specific sensor network showed somewhat different pollutant patterns than routine air monitoring, indicating the immediate impact of traffic control during the marathon on the roadside air quality. The study is one of the first applications of a next generation sensor network in international sport events, and it demonstrated the usefulness of the emerging sensor-based air monitoring technology in rapid network deployment to supplement existing air monitoring.

  17. Optimization of Quality of Service (QoS framework for highway based Vehicular Ad-hoc Networks (VANETs

    Directory of Open Access Journals (Sweden)

    Wajahat Hussain

    2016-02-01

    Full Text Available The Vehicular Ad-hoc Network is a novel technology. It has the property of higher node mobility. Vehicular Adhoc networks offer wireless communications between vehicles themselves (V2V and between vehicles to the roadside units (V2R. The VANET is an active research area, as it has great prospective to enhance the road and vehicle safety, efficiency of traffic. Vehicular Ad-hoc Network not only just provides the safety applications, but also provides communication to the users. The QoS support in VANET is a challenge when the existing routing paths become no longer are available as a result of changes in the velocity and position of node, and distance between the vehicular nodes or network topology. In this study we designed a framework which provides us the facility to enhance various Quality of Service parameters, such as End to End Delay, throughput and packet loss ratio etc. The proposed model uses layered approach, deep classification as existed QoS components are further broken down and provides Quality of Experience to the users. NCTUns is used as simulation tool to build up simulations. After getting the results of simulation we carried out the performance analysis of various routing protocols. The simulation results indicate that the proposed scheme provides much better performance in terms of various QoS parameters like End to End Delay, throughput and packet loss ratio.

  18. Ensuring the Quality of Data Packages in the LTER Network Provenance Aware Synthesis Tracking Architecture Data Management System and Archive

    Science.gov (United States)

    Servilla, M. S.; O'Brien, M.; Costa, D.

    2013-12-01

    Considerable ecological research performed today occurs through the analysis of data downloaded from various repositories and archives, often resulting in derived or synthetic products generated by automated workflows. These data are only meaningful for research if they are well documented by metadata, lest semantic or data type errors may occur in interpretation or processing. The Long Term Ecological Research (LTER) Network now screens all data packages entering its long-term archive to ensure that each package contains metadata that is complete, of high quality, and accurately describes the structure of its associated data entity and the data are structurally congruent to the metadata. Screening occurs prior to the upload of a data package into the Provenance Aware Synthesis Tracking Architecture (PASTA) data management system through a series of quality checks, thus preventing ambiguously or incorrectly documented data packages from entering the system. The quality checks within PASTA are designed to work specifically with the Ecological Metadata Language (EML), the metadata standard adopted by the LTER Network to describe data generated by their 26 research sites. Each quality check is codified in Java as part of the ecological community-supported Data Manager Library, which is a resource of the EML specification and used as a component of the PASTA software stack. Quality checks test for metadata quality, data integrity, or metadata-data congruence. Quality checks are further classified as either conditional or informational. Conditional checks issue a 'valid', 'warning' or 'error' response. Only an 'error' response blocks the data package from upload into PASTA. Informational checks only provide descriptive content pertaining to a particular facet of the data package. Quality checks are designed by a group of LTER information managers and reviewed by the LTER community before deploying into PASTA. A total of 32 quality checks have been deployed to date

  19. Multi-constraint quality of service routing algorithm for dynamic topology networks

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    An adaptive multi-QoS routing algorithm called AMQRA is proposed for dynamic topology networks,such as satellite networks and Ad-hoc networks.The AMQRA is a distributed and mobile-agents-based routing algorithm,which combines ant quantity system (AQS) with ant colony optimization (ACO) that is used in AntNet routing algorithm.In dynamic topology networks,the AMQRA achieves timely optimization for concave metric QoS constraint and fast convergence.The proposed routing algorithm is simulated in Iridium satellite constellation on OPNET.The results show that AMQRA not only outperforms the AntNet in convergence rate in dynamic topology networks but also can optimize concave metric QoS constraint and reasonably allot bandwidth to the load to avoid networks congestion.

  20. Maintaining High Quality Network Performance at the GSN: Sensor Installation Methods, New VBB Borehole Sensors and Data Quality Assessment from MUSTANG

    Science.gov (United States)

    Hafner, Katrin

    2017-04-01

    The goal of the Global Seismographic Network (GSN) is to provide the highest possible data quality and dynamic recording range in support of scientific needs. Considerable effort is made at each GSN seismic station site to achieve the lowest noise performance possible under local conditions. We continue to strive for higher data quality with a combination of new sensors and improved installation techniques. Most seismometers are installed either in 100 m deep steel-cased boreholes or in vaults tunneled underground. A few vaults are built at the surface or on the foundation of a building. All vault installations have a concrete pier, mechanically isolated from the floor, upon which the seismometers are placed. Many sites are now nearly 30 years old, and the GSN is investing in civil works at several stations to keep them in good condition or make critical repairs. Using GSN data from inception to the present, we will present analyses that demonstrate how successful these sensor installation strategies have been and describe ongoing experiments at GSN testing facilities to evaluate the best, most cost effective strategy to modernize existing GSN facilities. To improve sensor performance at some vault sites, we will employ new sensor installation strategies. Years of experience operating the GSN and the USArray Transportable Array, along with focused testing of emplacement strategies, show that the vulnerability of a sensor's horizontal components to tilt can be mitigated if the sensor package is buried at even shallow depth. At selected vault installations, shallow boreholes will be drilled to accommodate recently developed borehole VBB sensor models. The incremental cost of modern VBB instruments over standard BB models is small, and we expect to be able to preserve the GSN's crucial very broad bandwidth while improving noise performance and reliability using this strategy. A crucial link in making GSN station data available to the scientific community is the IRIS

  1. Quality of Information Approach to Improving Source Selection in Tactical Networks

    Science.gov (United States)

    2017-02-01

    Intelligence operations in highly dynamic and constrained networked environments require a prudent strategies to query information sources. We...metrics are identified in military doctrine as requirements that promote mission success. Further, it is possible to identify specific network metrics...social networks to assist a decision maker in the source selection problem. We show how this approach can be used to score information sources for such tasks using results from representative simulations.

  2. Combining Quality of Service and Topology Control in Directional Hybrid Wireless Networks

    Science.gov (United States)

    2006-03-01

    concept of a global information grid (GIG) that will provide the network-centric environment necessary to achieve the goal of integrating traditional...together form high bandwidth capabilities for hybrid communication networks, suggest the potential for global connectivity while avoiding some of...included in the network and which links each commodity should flow on. The MILP can be solved using any linear solver application. We use XPRESS -MP

  3. The effectiveness of clinical networks in improving quality of care and patient outcomes: a systematic review of quantitative and qualitative studies.

    Science.gov (United States)

    Brown, Bernadette Bea; Patel, Cyra; McInnes, Elizabeth; Mays, Nicholas; Young, Jane; Haines, Mary

    2016-08-08

    Reorganisation of healthcare services into networks of clinical experts is increasing as a strategy to promote the uptake of evidence based practice and to improve patient care. This is reflected in significant financial investment in clinical networks. However, there is still some question as to whether clinical networks are effective vehicles for quality improvement. The aim of this systematic review was to ascertain the effectiveness of clinical networks and identify how successful networks improve quality of care and patient outcomes. A systematic search was undertaken in accordance with the PRISMA approach in Medline, Embase, CINAHL and PubMed for relevant papers between 1 January 1996 and 30 September 2014. Established protocols were used separately to examine and assess the evidence from quantitative and qualitative primary studies and then integrate findings. A total of 22 eligible studies (9 quantitative; 13 qualitative) were included. Of the quantitative studies, seven focused on improving quality of care and two focused on improving patient outcomes. Quantitative studies were limited by a lack of rigorous experimental design. The evidence indicates that clinical networks can be effective vehicles for quality improvement in service delivery and patient outcomes across a range of clinical disciplines. However, there was variability in the networks' ability to make meaningful network- or system-wide change in more complex processes such as those requiring intensive professional education or more comprehensive redesign of care pathways. Findings from qualitative studies indicated networks that had a positive impact on quality of care and patients outcomes were those that had adequate resources, credible leadership and efficient management coupled with effective communication strategies and collaborative trusting relationships. There is evidence that clinical networks can improve the delivery of healthcare though there are few high quality quantitative

  4. A heuristic optimization approach for Air Quality Monitoring Network design with the simultaneous consideration of multiple pollutants.

    Science.gov (United States)

    Elkamel, A; Fatehifar, E; Taheri, M; Al-Rashidi, M S; Lohi, A

    2008-08-01

    An interactive optimization methodology for allocating the number and configuration of an Air Quality Monitoring Network (AQMN) in a vast area to identify the impact of multiple pollutants is described. A mathematical model based on the multiple cell approach (MCA) was used to create monthly spatial distributions for the concentrations of the pollutants emitted from different emission sources. These spatial temporal patterns were subject to a heuristic optimization algorithm to identify the optimal configuration of a monitoring network. The objective of the optimization is to provide maximum information about multi-pollutants (i.e., CO, NO(x) and SO(2)) emitted from each source within a given area. The model was applied to a network of existing refinery stacks and the results indicate that three stations can provide a total coverage of more than 70%. In addition, the effect of the spatial correlation coefficient (R(C)) on total area coverage was analyzed. The modeling results show that as the cutoff correlation coefficient R(C) is increased from 0.75 to 0.95, the number of monitoring stations required for total coverage is increased. A high R(C) based network may not necessarily cover the entire region, but the covered region will be well represented. A low R(C) based network, on the other hand, would offer more coverage of the region, but the covered region may not be satisfactorily represented.

  5. Enhanced Intrusion Detection System for Malicious Node Detection in Mobile Ad hoc Networks using Data Transmission Quality of Nodes

    Directory of Open Access Journals (Sweden)

    S. Mamatha

    2014-09-01

    Full Text Available Mobile Ad hoc NETworks (MANETs are the new generation of networks that offer unrestricted mobility without any underlying infrastructure. It relies on the cooperation of all the participating nodes. Due to their open nature and lack of infrastructure, security for MANETS has become an intricate problem than the security in other networks. The conventional security mechanisms of protecting a wired network are not sufficient for these networks. Hence a second level of defense to detect and respond to the security problem called an Intrusion detection system is required. Generally the malicious nodes demonstrate a different behavioral pattern of all the other normal nodes. So an Intrusion Detection System based on anomaly based intrusion detection that works by checking the behavior of the nodes was proposed. Here, in this paper to determine the behavior of the nodes as malicious or legitimate a Data Transmission Quality (DTQ function is used. The DTQ function is defined in such a way that it will be close to a constant or keep changing smoothly for genuine nodes and will keep on diminishing for malicious nodes.. The final decision of confirming nodes as malicious is determined by a group consensus method. The evaluation results show that the proposed method increases the detection rate as well as decreases the false positive rate.

  6. Quality of Service Policy for IEEE 802.11 Networks with Service Rate Selection based on Fairness Index

    Directory of Open Access Journals (Sweden)

    L. T.M. Mota

    2011-01-01

    Full Text Available Problem statement: The IEEE802.11 standard states that all stations have the same probability of accessing the network, but does not consider important parameters such as transmission rates and signal-to-noise ratios. However, these networks present an anomaly that allows a station with a low transmission rate to use the communication channel for a long time. Approach: In this context, this study presents a Quality of Service (QoS policy, based on the implementation of the IEEE802.11e standard, that aims to keep or find the most fair scenario for IEEE802.11 networks. Hence, an algorithm for determining a fairness index is proposed based on physical parameters such as connection rates, service types and necessary conditions for the communication service. Results: The results obtained using the NS2 simulation software show that the proposed QoS policy was able to improve the network throughput or, at least, to keep a condition similar to the original one, when the proposed policy was not applied. Conclusion: All simulated scenarios presented a network performance gain or, at least, a similar result when compared to the results obtained when the IEEE802.11 standard was applied.

  7. Social support network, mental health and quality of life: a cross-sectional study in primary care

    Directory of Open Access Journals (Sweden)

    Flávia Batista Portugal

    Full Text Available The objective of this study was to identify the association between emotional distress and social support networks with quality of life in primary care patients. This was a cross-sectional study involving 1,466 patients in the cities of São Paulo and Rio de Janeiro, Brazil, in 2009/2010. The General Health Questionnaire, the Hospital Anxiety and Depression Scale and the brief version of the World Health Organization Quality of Life Instrument were used. The Social Support Network Index classified patients with the highest and lowest index as socially integrated or isolated. A bivariate analysis and four multiple linear regressions were conducted for each quality of life outcome. The means scores for the physical, psychological, social relations, and environment domains were, respectively, 64.7; 64.2; 68.5 and 49.1. In the multivariate analysis, the psychological domain was negatively associated with isolation, whereas the social relations and environment domains were positively associated with integration. Integration and isolation proved to be important factors for those in emotional distress as they minimize or maximize negative effects on quality of life.

  8. Developing a Deep Brain Stimulation Neuromodulation Network for Parkinson Disease, Essential Tremor, and Dystonia: Report of a Quality Improvement Project

    Science.gov (United States)

    O’Suilleabhain, Padraig E.; Sanghera, Manjit; Patel, Neepa; Khemani, Pravin; Lacritz, Laura H.; Chitnis, Shilpa; Whitworth, Louis A.; Dewey, Richard B.

    2016-01-01

    Objective To develop a process to improve patient outcomes from deep brain stimulation (DBS) surgery for Parkinson disease (PD), essential tremor (ET), and dystonia. Methods We employed standard quality improvement methodology using the Plan-Do-Study-Act process to improve patient selection, surgical DBS lead implantation, postoperative programming, and ongoing assessment of patient outcomes. Results The result of this quality improvement process was the development of a neuromodulation network. The key aspect of this program is rigorous patient assessment of both motor and non-motor outcomes tracked longitudinally using a REDCap database. We describe how this information is used to identify problems and to initiate Plan-Do-Study-Act cycles to address them. Preliminary outcomes data is presented for the cohort of PD and ET patients who have received surgery since the creation of the neuromodulation network. Conclusions Careful outcomes tracking is essential to ensure quality in a complex therapeutic endeavor like DBS surgery for movement disorders. The REDCap database system is well suited to store outcomes data for the purpose of ongoing quality assurance monitoring. PMID:27711133

  9. Voice quality analysis in wireless multimedia sensor networks: an experimental study

    NARCIS (Netherlands)

    Türkes, Okan; Baydere, Sebnem

    2011-01-01

    Audio data processing and transmission in Wireless Sensor Networks (WSNs) require systems which satisfy the equilibrium between heavy data traffic and limited resources. In the lossy nature of the network, transmission techniques matter to sustain a certain content validity to be preserved. Besides,

  10. Neural Network based Control of SG based Standalone Generating System with Energy Storage for Power Quality Enhancement

    Science.gov (United States)

    Nayar, Priya; Singh, Bhim; Mishra, Sukumar

    2016-09-01

    An artificial intelligence based control algorithm is used in solving power quality problems of a diesel engine driven synchronous generator with automatic voltage regulator and governor based standalone system. A voltage source converter integrated with a battery energy storage system is employed to mitigate the power quality problems. An adaptive neural network based signed regressor control algorithm is used for the estimation of the fundamental component of load currents for control of a standalone system with load leveling as an integral feature. The developed model of the system performs accurately under varying load conditions and provides good dynamic response to the step changes in loads. The real time performance is achieved using MATLAB along with simulink/simpower system toolboxes and results adhere to an IEEE-519 standard for power quality enhancement.

  11. Neural Network based Control of SG based Standalone Generating System with Energy Storage for Power Quality Enhancement

    Science.gov (United States)

    Nayar, Priya; Singh, Bhim; Mishra, Sukumar

    2017-08-01

    An artificial intelligence based control algorithm is used in solving power quality problems of a diesel engine driven synchronous generator with automatic voltage regulator and governor based standalone system. A voltage source converter integrated with a battery energy storage system is employed to mitigate the power quality problems. An adaptive neural network based signed regressor control algorithm is used for the estimation of the fundamental component of load currents for control of a standalone system with load leveling as an integral feature. The developed model of the system performs accurately under varying load conditions and provides good dynamic response to the step changes in loads. The real time performance is achieved using MATLAB along with simulink/simpower system toolboxes and results adhere to an IEEE-519 standard for power quality enhancement.

  12. Changes in perceptions of quality of, and access to, services among clients of a fractional franchise network in Nepal.

    Science.gov (United States)

    Agha, Sohail; Gage, Anastasia; Balal, Asma

    2007-05-01

    With declining levels of international donor funding for financing reproductive health programmes, developing country governments and international donors are looking towards private sector strategies to expand the supply of quality reproductive health services. One of the challenges of a health franchise is to improve the quality of services provided by independent private practitioners. Private providers are more likely to abide by the quality standards set by a franchiser if they see a financial benefit resulting from franchise participation. This study was conducted to measure whether (a) there were improvements in perceived quality of care and perceived access to health facilities once these facilities became part of a franchise and (b) improvements in perceived quality and perceived access were associated with increased client loyalty to franchised clinics. Franchisees were given basic reproductive health training for seven days and services marketing training for two days. Exit interviews were conducted with male and female clients at health facilities. A pre-test measurement was taken in April 2001, prior to the start of project activities. A post-test measurement was taken in February/March 2002, about 9 months after the pre-test. Multilevel regression analysis, which takes the hierarchical structure of the data into account, was used for the analysis. After taking provider-level variation into account and controlling for client characteristics, the analyses showed significant improvements in perceived quality of care and perceived access to services. Private provider participation in a franchise network helps improve client perceptions of quality of, and access to, services. Improvements in client perceptions of quality and access contribute to increased client loyalty to franchised clinics. Once increased client loyalty translates into higher client volumes, providers are likely to see the benefits of franchise participation. In turn, this should lead to

  13. High Electricity Demand in the Northeast U.S.: PJM Reliability Network and Peaking Unit Impacts on Air Quality.

    Science.gov (United States)

    Farkas, Caroline M; Moeller, Michael D; Felder, Frank A; Henderson, Barron H; Carlton, Annmarie G

    2016-08-01

    On high electricity demand days, when air quality is often poor, regional transmission organizations (RTOs), such as PJM Interconnection, ensure reliability of the grid by employing peak-use electric generating units (EGUs). These "peaking units" are exempt from some federal and state air quality rules. We identify RTO assignment and peaking unit classification for EGUs in the Eastern U.S. and estimate air quality for four emission scenarios with the Community Multiscale Air Quality (CMAQ) model during the July 2006 heat wave. Further, we population-weight ambient values as a surrogate for potential population exposure. Emissions from electricity reliability networks negatively impact air quality in their own region and in neighboring geographic areas. Monitored and controlled PJM peaking units are generally located in economically depressed areas and can contribute up to 87% of hourly maximum PM2.5 mass locally. Potential population exposure to peaking unit PM2.5 mass is highest in the model domain's most populated cities. Average daily temperature and national gross domestic product steer peaking unit heat input. Air quality planning that capitalizes on a priori knowledge of local electricity demand and economics may provide a more holistic approach to protect human health within the context of growing energy needs in a changing world.

  14. Prediction and assessment of drought effects on surface water quality using artificial neural networks: case study of Zayandehrud River, Iran.

    Science.gov (United States)

    Safavi, Hamid R; Malek Ahmadi, Kian

    2015-01-01

    Although drought impacts on water quantity are widely recognized, the impacts on water quality are less known. The Zayandehrud River basin in the west-central part of Iran plateau witnessed an increased contamination during the recent droughts and low flows. The river has been receiving wastewater and effluents from the villages, a number of small and large industries, and irrigation drainage systems along its course. What makes the situation even worse is the drought period the river basin has been going through over the last decade. Therefore, a river quality management model is required to include the adverse effects of industrial development in the region and the destructive effects of droughts which affect the river's water quality and its surrounding environment. Developing such a model naturally presupposes investigations into pollution effects in terms of both quality and quantity to be used in such management tools as mathematical models to predict the water quality of the river and to prevent pollution escalation in the environment. The present study aims to investigate electrical conductivity of the Zayandehrud River as a water quality parameter and to evaluate the effect of this parameter under drought conditions. For this purpose, artificial neural networks are used as a modeling tool to derive the relationship between electrical conductivity and the hydrological parameters of the Zayandehrud River. The models used in this research include multi-layer perceptron and radial basis function. Finally, these two models are compared in terms of their performance using the time series of electrical conductivity at eight monitoring-hydrometric stations during drought periods between the years 1997-2012. Results show that artificial neural networks can be used for modeling the relationship between electrical conductivity and hydrological parameters under drought conditions. It is further shown that radial basis function works better for the upstream stretches

  15. 40 CFR Appendix D to Part 58 - Network Design Criteria for Ambient Air Quality Monitoring

    Science.gov (United States)

    2010-07-01

    ... forecasts and public advisories. (b) Support compliance with ambient air quality standards and emissions... trends in air pollution abatement control measures' impact on improving air quality. In monitoring... development work. 1.1.1In order to support the air quality management work indicated in the three basic...

  16. Evaluacion del clima organizacional en la Facultad de Odontologia de la Pontificia Universidad Javeriana desde una perspectiva integradora y participativa.(clima organizacional, Facultad de Odontologia de la Pontificia Universidad Javeriana )

    National Research Council Canada - National Science Library

    Gomez Villamizar, Mariela; Bermudez Gomez, Maria Constanza; Velosa Porras, Juliana; Paez Becerra, Francisco Javier; Ferro Camargo, Maria Beatriz

    2012-01-01

    Objetivo: en este articulo se presentan los resultados de la evaluacion diagnostica del clima organizacional de la Facultad de Odontologia de la Pontificia Universidad Javeriana de Bogota, Colombia. Metodos...

  17. Intelligent Packet Shaper to Avoid Network Congestion for Improved Streaming Video Quality at Clients

    DEFF Research Database (Denmark)

    Kaul, Manohar; Khosla, Rajiv; Mitsukura, Y

    2003-01-01

    to predict, to a very high level of accuracy, a state of congestion based upon the training data collected about the network behaviour. Initially, the current traffic shaping technologies are discussed and later a simulation in a controlled environment is illustrated to exhibit the effects...... of this intelligent traffic-shaping algorithm on the underlying network real time packet traffic and the eradication of unwanted abruption in the streaming video qualiy. This paper concluded from the end results of the simulation that neural networks are a very superior means of modeling real-time traffic...

  18. Trends in Surface-Water Quality at Selected Ambient-Monitoring Network Stations in Kentucky, 1979-2004

    Science.gov (United States)

    Crain, Angela S.; Martin, Gary R.

    2009-01-01

    Increasingly complex water-management decisions require water-quality monitoring programs that provide data for multiple purposes, including trend analyses, to detect improvement or deterioration in water quality with time. Understanding surface-water-quality trends assists resource managers in identifying emerging water-quality concerns, planning remediation efforts, and evaluating the effectiveness of the remediation. This report presents the results of a study conducted by the U.S. Geological Survey, in cooperation with the Kentucky Energy and Environment Cabinet-Kentucky Division of Water, to analyze and summarize long-term water-quality trends of selected properties and water-quality constituents in selected streams in Kentucky's ambient stream water-quality monitoring network. Trends in surface-water quality for 15 properties and water-quality constituents were analyzed at 37 stations with drainage basins ranging in size from 62 to 6,431 square miles. Analyses of selected physical properties (temperature, specific conductance, pH, dissolved oxygen, hardness, and suspended solids), for major ions (chloride and sulfate), for selected metals (iron and manganese), for nutrients (total phosphorus, total nitrogen, total Kjeldahl nitrogen, nitrite plus nitrate), and for fecal coliform were compiled from the Commonwealth's ambient water-quality monitoring network. Trend analyses were completed using the S-Plus statistical software program S-Estimate Trend (S-ESTREND), which detects trends in water-quality data. The trend-detection techniques supplied by this software include the Seasonal Kendall nonparametric methods for use with uncensored data or data censored with only one reporting limit and the Tobit-regression parametric method for use with data censored with multiple reporting limits. One of these tests was selected for each property and water-quality constituent and applied to all station records so that results of the trend procedure could be compared among

  19. Machine-Learning Based Channel Quality and Stability Estimation for Stream-Based Multichannel Wireless Sensor Networks

    Science.gov (United States)

    Rehan, Waqas; Fischer, Stefan; Rehan, Maaz

    2016-01-01

    Wireless sensor networks (WSNs) have become more and more diversified and are today able to also support high data rate applications, such as multimedia. In this case, per-packet channel handshaking/switching may result in inducing additional overheads, such as energy consumption, delays and, therefore, data loss. One of the solutions is to perform stream-based channel allocation where channel handshaking is performed once before transmitting the whole data stream. Deciding stream-based channel allocation is more critical in case of multichannel WSNs where channels of different quality/stability are available and the wish for high performance requires sensor nodes to switch to the best among the available channels. In this work, we will focus on devising mechanisms that perform channel quality/stability estimation in order to improve the accommodation of stream-based communication in multichannel wireless sensor networks. For performing channel quality assessment, we have formulated a composite metric, which we call channel rank measurement (CRM), that can demarcate channels into good, intermediate and bad quality on the basis of the standard deviation of the received signal strength indicator (RSSI) and the average of the link quality indicator (LQI) of the received packets. CRM is then used to generate a data set for training a supervised machine learning-based algorithm (which we call Normal Equation based Channel quality prediction (NEC) algorithm) in such a way that it may perform instantaneous channel rank estimation of any channel. Subsequently, two robust extensions of the NEC algorithm are proposed (which we call Normal Equation based Weighted Moving Average Channel quality prediction (NEWMAC) algorithm and Normal Equation based Aggregate Maturity Criteria with Beta Tracking based Channel weight prediction (NEAMCBTC) algorithm), that can perform channel quality estimation on the basis of both current and past values of channel rank estimation. In the end

  20. Machine-Learning Based Channel Quality and Stability Estimation for Stream-Based Multichannel Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Waqas Rehan

    2016-09-01

    Full Text Available Wireless sensor networks (WSNs have become more and more diversified and are today able to also support high data rate applications, such as multimedia. In this case, per-packet channel handshaking/switching may result in inducing additional overheads, such as energy consumption, delays and, therefore, data loss. One of the solutions is to perform stream-based channel allocation where channel handshaking is performed once before transmitting the whole data stream. Deciding stream-based channel allocation is more critical in case of multichannel WSNs where channels of different quality/stability are available and the wish for high performance requires sensor nodes to switch to the best among the available channels. In this work, we will focus on devising mechanisms that perform channel quality/stability estimation in order to improve the accommodation of stream-based communication in multichannel wireless sensor networks. For performing channel quality assessment, we have formulated a composite metric, which we call channel rank measurement (CRM, that can demarcate channels into good, intermediate and bad quality on the basis of the standard deviation of the received signal strength indicator (RSSI and the average of the link quality indicator (LQI of the received packets. CRM is then used to generate a data set for training a supervised machine learning-based algorithm (which we call Normal Equation based Channel quality prediction (NEC algorithm in such a way that it may perform instantaneous channel rank estimation of any channel. Subsequently, two robust extensions of the NEC algorithm are proposed (which we call Normal Equation based Weighted Moving Average Channel quality prediction (NEWMAC algorithm and Normal Equation based Aggregate Maturity Criteria with Beta Tracking based Channel weight prediction (NEAMCBTC algorithm, that can perform channel quality estimation on the basis of both current and past values of channel rank estimation

  1. Machine-Learning Based Channel Quality and Stability Estimation for Stream-Based Multichannel Wireless Sensor Networks.

    Science.gov (United States)

    Rehan, Waqas; Fischer, Stefan; Rehan, Maaz

    2016-09-12

    Wireless sensor networks (WSNs) have become more and more diversified and are today able to also support high data rate applications, such as multimedia. In this case, per-packet channel handshaking/switching may result in inducing additional overheads, such as energy consumption, delays and, therefore, data loss. One of the solutions is to perform stream-based channel allocation where channel handshaking is performed once before transmitting the whole data stream. Deciding stream-based channel allocation is more critical in case of multichannel WSNs where channels of different quality/stability are available and the wish for high performance requires sensor nodes to switch to the best among the available channels. In this work, we will focus on devising mechanisms that perform channel quality/stability estimation in order to improve the accommodation of stream-based communication in multichannel wireless sensor networks. For performing channel quality assessment, we have formulated a composite metric, which we call channel rank measurement (CRM), that can demarcate channels into good, intermediate and bad quality on the basis of the standard deviation of the received signal strength indicator (RSSI) and the average of the link quality indicator (LQI) of the received packets. CRM is then used to generate a data set for training a supervised machine learning-based algorithm (which we call Normal Equation based Channel quality prediction (NEC) algorithm) in such a way that it may perform instantaneous channel rank estimation of any channel. Subsequently, two robust extensions of the NEC algorithm are proposed (which we call Normal Equation based Weighted Moving Average Channel quality prediction (NEWMAC) algorithm and Normal Equation based Aggregate Maturity Criteria with Beta Tracking based Channel weight prediction (NEAMCBTC) algorithm), that can perform channel quality estimation on the basis of both current and past values of channel rank estimation. In the end

  2. Comparison of Data Quality of NOAA's ISIS and SURFRAD Networks to NREL's SRRL-BMS

    Energy Technology Data Exchange (ETDEWEB)

    Anderberg, M.; Sengupta, M.

    2014-11-01

    This report provides analyses of broadband solar radiometric data quality for the National Oceanic and Atmospheric Administration's Integrated Surface Irradiance Study and Surface Radiation Budget Network (SURFRAD) solar measurement networks. The data quality of these networks is compared to that of the National Renewable Energy Laboratory's Solar Radiation Research Laboratory Baseline Measurement System (SRRL-BMS) native data resolutions and hourly averages of the data from the years 2002 through 2013. This report describes the solar radiometric data quality testing and flagging procedures and the method used to determine and tabulate data quality statistics. Monthly data quality statistics for each network were plotted by year against the statistics for the SRRL-BMS. Some of the plots are presented in the body of the report, but most are in the appendix. These plots indicate that the overall solar radiometric data quality of the SURFRAD network is superior to that of the Integrated Surface Irradiance Study network and can be comparable to SRRL-BMS.

  3. Training resources in renewable energy: study and evaluation; Recursos de capacitacion en energia renovable: estudio y evaluacion

    Energy Technology Data Exchange (ETDEWEB)

    De Buen Rodriguez, Odon [Energia, Tecnologia y Educacion, S.C., ENTE, S.C. (Mexico)

    2010-07-01

    The report herein describes the results of an evaluation process carried out to identify, document and analyze teaching and training capacities in the field of renewable energy for those who participate in the development, acquisition, installation, inspection and operation and maintenance of small- and large-scale wind, photovoltaic and solar water heating systems in North America. The document is divided into four sections. Chapter 1 presents the results of the evaluation process, expressed according to different parameters, as well as some of the significant findings. Chapter 2 responds to several questions related to difficulties, challenges, opportunities for improvement and recommendations, with a trilateral perspective. Chapter 3 evaluates the three technologies that are the focus of this study: photovoltaic, wind and solar heat. Chapter 4 describes the knowledge needed by those who professionally work in activities related to the three technologies mentioned, as well as their institutional context. The list of courses identified through this evaluation process are available on the CCA website, at www.cec.org/cursosenergia. [Spanish] El presente informe describe los resultados de un proceso de evaluacion llevado a cabo para identificar, documentar y analizar las capacidades en materia de ensenanza y capacitacion en energia renovable de quienes participan en la elaboracion, adquisicion, instalacion, inspeccion y operacion y mantenimiento de sistemas eolicos, fotovoltaicos y de calentamiento solar de agua -tanto pequenos como de gran escala-, en America del Norte. El documento se divide en cuatro partes. El capitulo 1 presenta los resultados del proceso de evaluacion, expresandolos en funcion de diferentes parametros, asi como ciertos hallazgos importantes. El capitulo 2 responde a diversas preguntas relativas a las dificultades, retos, oportunidades de mejoramiento y recomendaciones, con una perspectiva trilateral. El capitulo 3 evalua las tres tecnologias

  4. Enabling location-aware quality-controlled access in wireless networks

    National Research Council Canada - National Science Library

    Kim, Hwangnam; Kim, Hyun Soon; Lee, Suk Kyu; Park, Eun-Chan; Park, Kyung-Joon

    2011-01-01

    Location-based services (LBSs), such as location-specific contents-providing services, presence services, and E-911 locating services, have recently been drawing much attention in wireless network community...

  5. Acceptance and Quality Perceptions of Social Network Services in Cultural Context: Vkontakte as a Case Study

    Directory of Open Access Journals (Sweden)

    Katsiaryna S. Baran

    2015-06-01

    Full Text Available In terms of network economics, as well as other information services, a social network service (SNS has two chances–either it gains acceptance ("success breeds success" and will become standard or it slowly dies. Nowadays, Facebook is the standard in the social network world, however, not in Russia's and the neighboring countries' social network communities. Here, Vkontakte, the domestic SNS, dominates. What are the reasons for this success of the regional SNS and the failure of the global giant? We answer this research question while we empirically studied both SNSs, Facebook as well as Vkontakte, among Russian users. In the evaluation, based on the Information Service Evaluation (ISE Model, we found out that Vkontakte is perceived as more useful than Facebook, is much more trustworthy, and more enjoyable to use. The cultural environment of the Russian community plays an important role as well.

  6. A MULTI-AGENT SYSTEM FOR MANAGING THE QUALITY OF SERVICE IN TELECOMMUNICATIONS NETWORKS

    Institute of Scientific and Technical Information of China (English)

    Pasquale DE MEO; Antonio IERA; Giorgio TERRACINA; Domenico URSINO

    2005-01-01

    In this paper we propose X-MAQoS, a novel XML-based multi-agent system for the QoS management in telecommunications networks. This system is characterized by the following features:(i) it handles a user profile and exploits it jointly with suitable network resource management techniques to maximize user satisfaction; (ii) it is capable of operating in a large variety of telecommunications networks; (iii) it is semi-automatic; (iv) it exploits XML for guaranteeing a light,versatile and standard mechanism for information representation, storing and exchange. In this paper the basic features of the system are discussed in details. Furthermore, the main results of a performance evaluation study in UMTS environment, aiming at comparing X-MAQoS with alternative agent-based approaches for handling user access to telecommunications networks, are reported.

  7. On the Use of Information Quality in Stochastic Networked Control Systems

    DEFF Research Database (Denmark)

    Olsen, Rasmus Løvenstein; Madsen, Jacob Theilgaard; Rasmussen, Jakob Gulddahl

    2017-01-01

    Networked control is challenged by stochastic delays that are caused by the communication networks as well as by the approach taken to exchange information about system state and set-points. Combined with stochastic changing information, there is a probability that information at the controller...... is not matching the true system observation, which we call mismatch probability (mmPr). The hypothesis is that the optimization of certain parameters of networked control systems targeting mmPr is equivalent to the optimization targeting control performance, while the former is practically much easier to conduct....... This is first analyzed in simulation models for the example system of a wind-farm controller. As simulation analysis is subject to stochastic variability and requires large computational effort, the paper develops a Markov model of a simplified networked control system and uses numerical results from the Markov...

  8. High Quality of Service on Video Streaming in P2P Networks using FST-MDC

    CERN Document Server

    Jaganathan, Suresh; 10.5121/ijma.2011.3203

    2011-01-01

    Video streaming applications have newly attracted a large number of participants in a distribution network. Traditional client-server based video streaming solutions sustain precious bandwidth provision rate on the server. Recently, several P2P streaming systems have been organized to provide on-demand and live video streaming services on the wireless network at reduced server cost. Peer-to-Peer (P2P) computing is a new pattern to construct disseminated network applications. Typical error control techniques are not very well matched and on the other hand error prone channels has increased greatly for video transmission e.g., over wireless networks and IP. These two facts united together provided the essential motivation for the development of a new set of techniques (error concealment) capable of dealing with transmission errors in video systems. In this paper, we propose an flexible multiple description coding method named as Flexible Spatial-Temporal (FST) which improves error resilience in the sense of fra...

  9. Adaptive Flow Control for Enabling Quality of Service in Tactical Ad Hoc Wireless Networks

    Science.gov (United States)

    2010-12-01

    been employed as part of a QoS management system for wired networks in the Ama- ranth system [Hoover 2001]. In Amaranth , applications register their...reducing network congestion. This idea is similar to that seen in IntServ [Braden 1994] and in the Amaranth system [Hoover 2001], without the need...San Francisco, CA (USA), April 2001. IEEE, 2001. [Hoover 2001] Hoover, C., Hansen, J., Koopman, P. & Tamboli, S. “The Amaranth Framework: Policy

  10. The preclinical data forum network: A new ECNP initiative to improve data quality and robustness for (preclinical) neuroscience.

    Science.gov (United States)

    Steckler, Thomas; Brose, Katja; Haas, Magali; Kas, Martien J; Koustova, Elena; Bespalov, Anton

    2015-10-01

    Current limitations impeding on data reproducibility are often poor statistical design, underpowered studies, lack of robust data, lack of methodological detail, biased reporting and lack of open data sharing, coupled with wrong research incentives. To improve data reproducibility, robustness and quality for brain disease research, a Preclinical Data Forum Network was formed under the umbrella of the European College of Neuropsychopharmacology (ECNP). The goal of this network, members of which met for the first time in October 2014, is to establish a forum to collaborate in precompetitive space, to exchange and develop best practices, and to bring together the members from academia, pharmaceutical industry, publishers, journal editors, funding organizations, public/private partnerships and non-profit advocacy organizations. To address the most pertinent issues identified by the Network, it was decided to establish a data sharing platform that allows open exchange of information in the area of preclinical neuroscience and to develop an educational scientific program. It is also planned to reach out to other organizations to align initiatives to enhance efficiency, and to initiate activities to improve the clinical relevance of preclinical data. Those Network activities should contribute to scientific rigor and lead to robust and relevant translational data. Here we provide a synopsis of the proceedings from the inaugural meeting. Copyright © 2015 Elsevier B.V. and ECNP. All rights reserved.

  11. A Fuzzy Neural Network Based on Non-Euclidean Distance Clustering for Quality Index Model in Slashing Process

    Directory of Open Access Journals (Sweden)

    Yuxian Zhang

    2015-01-01

    Full Text Available The quality index model in slashing process is difficult to build by reason of the outliers and noise data from original data. To the above problem, a fuzzy neural network based on non-Euclidean distance clustering is proposed in which the input space is partitioned into many local regions by the fuzzy clustering based on non-Euclidean distance so that the computation complexity is decreased, and fuzzy rule number is determined by validity function based on both the separation and the compactness among clusterings. Then, the premise parameters and consequent parameters are trained by hybrid learning algorithm. The parameters identification is realized; meanwhile the convergence condition of consequent parameters is obtained by Lyapunov function. Finally, the proposed method is applied to build the quality index model in slashing process in which the experimental data come from the actual slashing process. The experiment results show that the proposed fuzzy neural network for quality index model has lower computation complexity and faster convergence time, comparing with GP-FNN, BPNN, and RBFNN.

  12. Energy and Link Quality Based Routing for Data Gathering Tree in Wireless Sensor Networks Under TINYOS - 2.X

    CERN Document Server

    Sivagami, A; Sridharan, D; Murty, S A V Satya; 10.5121/ijwmn.2010.2204

    2010-01-01

    Energy is one of the most important and scarce resources in Wireless Sensor Networks (WSN). WSN nodes work with the embedded operating system called TinyOS, which addresses the constrains of the WSN nodes such as limited processing power, memory, energy, etc and it uses the collection Tree Protocol (CTP) to collect the data from the sensor nodes. It uses either the four-bit link estimation or Link Estimation Exchange Protocol (LEEP) to predict the bi directional quality of the wireless link between the nodes and the next hop candidate is based on the estimated link quality. The residual energy of the node is an important key factor, which plays a vital role in the lifetime of the network and hence this has to taken as one of the metric in the parent selection. In this work, we consider the remaining energy of the node as one of the metric to decide the parent in addition to the link quality metrics. The proposed protocol was compared with CTP protocol in terms of number of packets forwarded by each node and p...

  13. Quality of Service Enhancement of Wireless Sensor Network Using Symmetric Key Cryptographic Schemes

    Directory of Open Access Journals (Sweden)

    Er. Gurjot Singh

    2014-07-01

    Full Text Available A Wireless Sensor Network is a combination of spatially distributed independent nodes deployed in dense environment, communicating wirelessly over limited bandwidth and frequency. Security and Qos is the major concern in wireless sensor network due to its wireless communication nature and constraints like low computation capability, less memory, bounded energy resources, susceptibility to physical capture or damages and the use of insecure wireless communication channels. These constraints make security along with the QoS, a challenge in wireless sensor network. The cryptographic schemes increases the level of security and make it secure against critical attacks but also has a significant impact on the QoS of wireless sensor network. In this paper, the different cryptographic schemes based on asymmetric key and symmetric key cryptography are evaluated. The symmetric key cryptography schemes require less time for processing, less power and also require less storage space as compared to asymmetric key cryptographic schemes, results in less impact on the QoS of wireless sensor network. In this paper, the QoS of wireless sensor network along with cryptographic schemes will be evaluated on the basis of metrics like throughput, jitter, end-to-end delay, total packet received and energy consumption.

  14. Stigma, discrimination, empowerment and social networks: a preliminary investigation of their influence on subjective quality of life in a Swedish sample.

    Science.gov (United States)

    Lundberg, Bertil; Hansson, Lars; Wentz, Elisabet; Björkman, Tommy

    2008-01-01

    Studies investigating the importance of social network, empowerment and experiences of stigma on subjective quality of life among persons with mental illness are rare. This study aimed to investigate beliefs of devaluation/discrimination, actual rejection experiences, empowerment, social network and the relationship of these factors to subjective quality of life among subjects with mental illness. A cross-sectional study assessing beliefs of devaluation/discrimination, actual rejection experiences, empowerment, social network and subjective quality of life was performed on 150 subjects with mental illness. The factors most prominently related to subjective quality of life were overall empowerment and overall social network. For a subgroup of subjects suffering from psychotic disorders there was a significant negative relationship between subjective quality of life and rejection experiences. This group also reported more frequent rejection experiences. The findings indicate that persons with mental illness are a heterogeneous group with regard to the influence of social network, stigma and empowerment on subjective quality of life. The negative impact of actual rejection experiences might express that, in order to increase subjective quality of life, stigma must be addressed as a separate and important factor in its own right.

  15. Prediction of Indoor Air Exposure from Outdoor Air Quality Using an Artificial Neural Network Model for Inner City Commercial Buildings

    Directory of Open Access Journals (Sweden)

    Avril Challoner

    2015-12-01

    Full Text Available NO2 and particulate matter are the air pollutants of most concern in Ireland, with possible links to the higher respiratory and cardiovascular mortality and morbidity rates found in the country compared to the rest of Europe. Currently, air quality limits in Europe only cover outdoor environments yet the quality of indoor air is an essential determinant of a person’s well-being, especially since the average person spends more than 90% of their time indoors. The modelling conducted in this research aims to provide a framework for epidemiological studies by the use of publically available data from fixed outdoor monitoring stations to predict indoor air quality more accurately. Predictions are made using two modelling techniques, the Personal-exposure Activity Location Model (PALM, to predict outdoor air quality at a particular building, and Artificial Neural Networks, to model the indoor/outdoor relationship of the building. This joint approach has been used to predict indoor air concentrations for three inner city commercial buildings in Dublin, where parallel indoor and outdoor diurnal monitoring had been carried out on site. This modelling methodology has been shown to provide reasonable predictions of average NO2 indoor air quality compared to the monitored data, but did not perform well in the prediction of indoor PM2.5 concentrations. Hence, this approach could be used to determine NO2 exposures more rigorously of those who work and/or live in the city centre, which can then be linked to potential health impacts.

  16. Evaluation of the reliability of electric power transmission systems; Evaluacion de confiabilidad de sistemas de transmision de energia electrica

    Energy Technology Data Exchange (ETDEWEB)

    Vega Ortiz, Miguel

    1989-07-01

    In this thesis it is attacked the problem of Reliability Evaluation of the Electrical Power Transmission Systems for aims of its integral planning. Once described the problem the indexes that measure the electric power systems reliability are presented. Later the methods to evaluate the transmission nets, such as the Contingencies Enumeration, the Monte Carlo, the one of Markov and the methods for complex systems such as the Minimum Interruptions, are described. This last one is widely developed for the advantages that its application presents in the planning of large and complex networks. The method of minimum interruptions consists of two big steps: To determine the minimum interruptions for the load points and to calculate the reliability indexes in base of the minimum interruptions. The conventional algorithms for the determination of minimum interruptions consider a problem for each load point in an independent form going through a determination of minimum tracks. In this type of algorithms the CPU time and the space in memory required grow exponentially for the case of large transmission systems, which represents a strong restriction for its application. In order to solve this problem a methodology was established in which the system is modeled by means of a grapho and the minimum interruptions are determined with an algorithm based on the construction of cycles in the dual grapho. With these interruptions the connectivity and the capacity of the network is evaluated, obtaining the reliability indexes for each bus and the system. These indexes are calculated with the equivalent representation for complex systems of series parallel connections defined by the minimum interruptions. One of the fundamental objectives in this study is to integrate the reliability to the planning process, with the concept of the expected value of the non-supplied energy and its penalty cost. In order to demonstrate the capacity, effectiveness and rapidity of the new implemented

  17. Quality Control Guidelines for Managing Young Employees in Tourism : Case: S2S Travel Network

    OpenAIRE

    Krekilä, Sonja

    2013-01-01

    In the evermore competitive and globalized service market quality has proven to be the factor, which can provide the company with a significant competitive advantage. Therefore, excelling in quality management can be the key to success for the company. The objective of this thesis was to create quality control guidelines for the organization idea and the travel packages offered by it, which were developed in Tourism Product Development course in Kajaani University of Applied Sciences in 2...

  18. Associations between social network characteristics, cognitive function, and quality of life among residents in a dementia special care unit: A pilot study.

    Science.gov (United States)

    Abbott, Katherine M; Pachucki, Mark C

    2016-02-09

    Social integration has a significant influence on physical and mental health. Older adults experience an increased risk of social isolation as their social networks contract. The purpose of this study is to examine associations between dementia special care unit residents' overall well-being and cognition with structural aspects of their coresident relationships. Measures of social network structure were calculated from self-reported social contact data within three cohorts of residents in one dementia special care unit. Pearson correlations were used to describe associations between overall quality of life and cognition, with network characteristics indicative of social integration. Approximately half the ties sent or received were reciprocated and positive associations were found between social integration and quality of life. However, inconsistent associations were found between social integration and cognitive function. Friendship ties were more frequent between people of adjacent cognitive status categories. In addition, comparing across personal networks, residents tended to be tied to residents of higher quality of life status (43.3%, n = 13 personal networks) as opposed to lower (30%, n = 9 networks) or same (26.7%, n = 8 networks). There is a strong positive correlation between quality of life and respondent's betweenness centrality, suggesting that individuals with high quality of life tend to be important intermediaries between others in the community. Among the "oldest old," quality of life and cognitive function are unevenly distributed, yet these health indicators tend to cluster in social networks. This reinforces that while quality of life may be highly individual, it is in part linked to relationships with others. © The Author(s) 2016.

  19. A water quality monitoring network design using fuzzy theory and multiple criteria analysis.

    Science.gov (United States)

    Chang, Chia-Ling; Lin, You-Tze

    2014-10-01

    A proper water quality monitoring design is required in a watershed, particularly in a water resource protected area. As numerous factors can influence the water quality monitoring design, this study applies multiple criteria analysis to evaluate the suitability of the water quality monitoring design in the Taipei Water Resource Domain (TWRD) in northern Taiwan. Seven criteria, which comprise percentage of farmland area, percentage of built-up area, amount of non-point source pollution, green cover ratio, landslide area ratio, ratio of over-utilization on hillsides, and density of water quality monitoring stations, are selected in the multiple criteria analysis. The criteria are normalized and weighted. The weighted method is applied to score the subbasins. The density of water quality stations needs to be increased in priority in the subbasins with a higher score. The fuzzy theory is utilized to prioritize the need for a higher density of water quality monitoring stations. The results show that the need for more water quality stations in subbasin 2 in the Bei-Shih Creek Basin is much higher than those in the other subbasins. Furthermore, the existing water quality station in subbasin 2 requires maintenance. It is recommended that new water quality stations be built in subbasin 2.

  20. Estimation of Unknown Quality of Service Values to Increase the Quality of Composite Grid Service Using Bayesian Network

    Directory of Open Access Journals (Sweden)

    Ali Asghar Pourhaji Kazem

    2013-04-01

    Full Text Available Computational Grids have developed as a new approach to solve large scale problems in scientific, engineering and business areas. Open Grid services architecture is an adaptation of the service-oriented architecture which presents the Grid operation a set of service-oriented softwares. Grid services composition provides the possibility for users to submit their complex requirements as a single request.QoS-aware Grid service composition algorithms try to construct a composite Grid service which satisfies the user-defined constraints as well as to optimize the QoS parameters. All of the presented service composition approaches in the literature discard using the Grid services with unknown QoS values in the composition process. However, estimation of unknown QoS values of Grid services provides an opportunity for them to be selected as component Grid services in the constructed composite service. In this paper, a probabilistic QoS model is presented for estimating the unknown QoS values using Bayesian network. Experimental results indicate that estimating the unknown QoS values has high accuracy and leads to more efficient composite Grid services.

  1. Preslikavanje parametara kvaliteta usluga na protokole ATM mreža / Quality of service mapping to ATM network protocols

    Directory of Open Access Journals (Sweden)

    Milojko Jevtović

    2005-11-01

    Full Text Available Preslikavanje parametara kvaliteta usluga (Quality of Service - QoS jedan je od bitnih elemenata u koncepciji ATM (Asynchronous Transfer Mode širokopojasnih mreža. U radu su opisani parametri QoS-a (verovatnoće pogrešnih ramova i ćelija, propusni opseg, kašnjenje ćelija, varijacija kašnjenja koji se preslikavaju na protokole ATM mreža. Preslikavanje se izvodi između korisničkog i aplikacionog QoS-a, a aplikacioni QoS se preslikava na QoS prenosa i komutacije, odnosno na ATM protokole, tzv. protokole ATM adaptacionog sloja i, konačno, preslikava se (mapira na ATM mrežne performanse (ATM sloj. Analiza procesa preslikavanja parametara kvaliteta usluga značajna je sa stanovišta korisnika usluga ATM mreža pri izboru klasa usluga koje će koristiti u komunikaciji preko date ATM mreže. / Quality of service mapping is one of the crucial elements in ATM concept of wide networks. In this paper QoS parameters mapping to ATM network protocols are described. Mapping is made between QoS user and QoS application, and application QoS is mapped to QoS transfer and commutation i.e. to ATM protocols - ATM adaptation layer protocols and finally it is mapped to ATM network performances. Analysis of this QoS mapping parameters process is very important for ATM users when they are choosing classes of service that can be used in communication process through ATM network.

  2. Bandwidth-Adaptive Scheduling for Quality of Service Enhancement of Real-Time Multimedia Applications in Network Processor Based Router

    Directory of Open Access Journals (Sweden)

    R. Avudaiammal

    2009-01-01

    Full Text Available Problem statement: An explosive growth of multimedia applications in internet has stressed the performance of routers. Hence managing Quality of Service (QoS enhancement of real-time multimedia applications over IP is a significant and demanding challenge. Approach: To address this issue, Bandwidth Adaptive Stratified Round Robin (BASRR packet scheduling algorithm has been proposed in this paper for enhancing quality of service of real-time multimedia applications. Embedded Network Processors (NP have recently emerged with flexibility and speed to reduce the stress of the router by effectively processing the packets. The main objective of this study was to implement the proposed packet scheduling algorithm in a Network Processor (NP based router for enhancing quality of service of real-time multimedia applications Results: The effectiveness of the BASRR algorithm has been verified by simulations using Intel’s IXP 2400 network processor. The results show that BASRR achieves about 71.25% reduction in jitter compared to SRR when the traffic has uniform distribution of real-time flows and non real-time flows. The reduction in average queuing delay is about 30% compared to SRR for all the types of traffic. Conclusion: The QoS for multimedia applications has been achieved by the proposed non-preemptive Bandwidth Adaptive Stratified Round Robin (BASRR scheduling algorithm and outperforms the three well-known scheduling algorithms including DRR, WDRR and SRR. The results showed that BASRR is efficient with per packet complexity of O(1 and provides better fairness and reduced delay.

  3. Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle.

    Science.gov (United States)

    Mudadu, Maurício A; Porto-Neto, Laercio R; Mokry, Fabiana B; Tizioto, Polyana C; Oliveira, Priscila S N; Tullio, Rymer R; Nassu, Renata T; Niciura, Simone C M; Tholon, Patrícia; Alencar, Maurício M; Higa, Roberto H; Rosa, Antônio N; Feijó, Gélson L D; Ferraz, André L J; Silva, Luiz O C; Medeiros, Sérgio R; Lanna, Dante P; Nascimento, Michele L; Chaves, Amália S; Souza, Andrea R D L; Packer, Irineu U; Torres, Roberto A A; Siqueira, Fabiane; Mourão, Gerson B; Coutinho, Luiz L; Reverter, Antonio; Regitano, Luciana C A

    2016-03-15

    Nelore is the major beef cattle breed in Brazil with more than 130 million heads. Genome-wide association studies (GWAS) are often used to associate markers and genomic regions to growth and meat quality traits that can be used to assist selection programs. An alternative methodology to traditional GWAS that involves the construction of gene network interactions, derived from results of several GWAS is the AWM (Association Weight Matrices)/PCIT (Partial Correlation and Information Theory). With the aim of evaluating the genetic architecture of Brazilian Nelore cattle, we used high-density SNP genotyping data (~770,000 SNP) from 780 Nelore animals comprising 34 half-sibling families derived from highly disseminated and unrelated sires from across Brazil. The AWM/PCIT methodology was employed to evaluate the genes that participate in a series of eight phenotypes related to growth and meat quality obtained from this Nelore sample. Our results indicate a lack of structuring between the individuals studied since principal component analyses were not able to differentiate families by its sires or by its ancestral lineages. The application of the AWM/PCIT methodology revealed a trio of transcription factors (comprising VDR, LHX9 and ZEB1) which in combination connected 66 genes through 359 edges and whose biological functions were inspected, some revealing to participate in biological growth processes in literature searches. The diversity of the Nelore sample studied is not high enough to differentiate among families neither by sires nor by using the available ancestral lineage information. The gene networks constructed from the AWM/PCIT methodology were a useful alternative in characterizing genes and gene networks that were allegedly influential in growth and meat quality traits in Nelore cattle.

  4. Evaluaciones económicas en salud: Conceptos básicos y clasificación

    OpenAIRE

    ZÁRATE,VÍCTOR

    2010-01-01

    El alza creciente de los costos en salud ha creado la urgente necesidad de evaluar económicamente las intervenciones de salud con el objetivo de priorizar aquellas que ofrecen un mejor valor o beneficio en relación a sus costos en un contexto local. El propósito de este artículo es entregar algunos principios básicos de evaluaciones económicas que mejorarán el conocimiento médico acerca de la metodología utilizada en este tipo de análisis y además ayudará a demostrar como la práctica clínica ...

  5. Evaluaciones económicas en salud: Conceptos básicos y clasificación

    OpenAIRE

    ZÁRATE,VÍCTOR

    2010-01-01

    El alza creciente de los costos en salud ha creado la urgente necesidad de evaluar económicamente las intervenciones de salud con el objetivo de priorizar aquellas que ofrecen un mejor valor o beneficio en relación a sus costos en un contexto local. El propósito de este artículo es entregar algunos principios básicos de evaluaciones económicas que mejorarán el conocimiento médico acerca de la metodología utilizada en este tipo de análisis y además ayudará a demostrar como la práctica clínica ...

  6. Characterization of User-Perceived Quality of Service (QOS in Mobile Devices Using Network Pairwise Comparisons

    Directory of Open Access Journals (Sweden)

    Carlos E. Otero

    2010-08-01

    Full Text Available This paper presents a user-centric and application-specific QoS assessment methodology for cellularcommunication networks. Specifically, it uses the Analytic Hierarchy Process (AHP to evaluate QoS as amulti-criteria decision problem that represents how well cellular networks’ data services are perceivedgiven particular sets of application classes and relative to other networks servicing in the same area. Aspart of the methodology, drive testing is performed to collect objective measurements associated withidentified QoS criteria for data services. Once drive testing is performed and data collected, multiplenetworks are compared to determine the network that provides higher QoS based on users’ perception ofquality. The selection of the best performing network is based on the output provided by the AHPapproach, which is used as unified measurement of the perceived QoS by users on different networks. Inorder to determine application-specific priorities, the approach presented uses three different applicationclasses, including Emergency, Business, and Personal. For each class, the relative importance of eachquality evaluation criteria is adjusted in the AHP procedure to reflect the priorities of the servicesexpected. Through several case studies, the approach is proven successful in providing a way foranalyzing user-centric QoS for application-specific scenarios.

  7. The use of social networking to improve the quality of interprofessional education.

    Science.gov (United States)

    Pittenger, Amy L

    2013-10-14

    To evaluate the feasibility and effectiveness of using an online social networking platform for interprofessional education. Three groups of 6 students were formed with 1 student in each group from medicine, nursing, dentistry, pharmacy, veterinary medicine, and public health. Each group followed a different collaborative educational model with a unique pedagogical structure. Students in all groups interacted via an online social networking platform for a minimum of 15 weeks and met in person once at the end of the 15-week experience for a focus group session. The students were tasked with developing a collaborative recommendation for using social networking in interprofessional education programs. Most of the students who reported in a post-experience survey that their expectations were not met were in the minimally structured group. Almost all students in the facilitated and highly structured groups indicated that this experience positively impacted their knowledge of other health professions. Most students stated that interacting within a social networking space for 15 weeks with other members of the university's health professions programs was a positive and effective interprofessional education experience. Social networking is feasible and can be used effectively within an overall strategy for interprofessional education, but design and placement within a core content course is critical to success.

  8. Quality of Service for Real-Time Applications Over Next Generation Data Networks

    Science.gov (United States)

    Ivancic, William; Atiquzzaman, Mohammed; Bai, Haowei; Su, Hongjun; Jain, Raj; Duresi, Arjan; Goyal, Mukyl; Bharani, Venkata; Liu, Chunlei; Kota, Sastri

    2001-01-01

    This project, which started on January 1, 2000, was funded by NASA Glenn Research Center for duration of one year. The deliverables of the project included the following tasks: Study of QoS mapping between the edge and core networks envisioned in the Next Generation networks will provide us with the QoS guarantees that can be obtained from next generation networks. Buffer management techniques to provide strict guarantees to real-time end-to-end applications through preferential treatment to packets belonging to real-time applications. In particular, use of ECN to help reduce the loss on high bandwidth-delay product satellite networks needs to be studied. Effect of Prioritized Packet Discard to increase goodput of the network and reduce the buffering requirements in the ATM switches. Provision of new IP circuit emulation services over Satellite IP backbones using MPLS will be studied. Determine the architecture and requirements for internetworking ATN and the Next Generation Internet for real-time applications.

  9. Sex differences in how social networks and relationship quality influence experimental pain sensitivity.

    Science.gov (United States)

    Vigil, Jacob M; Rowell, Lauren N; Chouteau, Simone; Chavez, Alexandre; Jaramillo, Elisa; Neal, Michael; Waid, David

    2013-01-01

    This is the first study to examine how both structural and functional components of individuals' social networks may moderate the association between biological sex and experimental pain sensitivity. One hundred and fifty-two healthy adults (mean age = 22yrs., 53% males) were measured for cold pressor task (CPT) pain sensitivity (i.e., intensity ratings) and core aspects of social networks (e.g., proportion of friends vs. family, affection, affirmation, and aid). Results showed consistent sex differences in how social network structures and intimate relationship functioning modulated pain sensitivity. Females showed higher pain sensitivity when their social networks consisted of a higher proportion of intimate types of relationship partners (e.g., kin vs. non kin), when they had known their network partners for a longer period of time, and when they reported higher levels of logistical support from their significant other (e.g., romantic partner). Conversely, males showed distinct patterns in the opposite direction, including an association between higher levels of logistical support from one's significant other and lower CPT pain intensity. These findings show for the first time that the direction of sex differences in exogenous pain sensitivity is likely dependent on fundamental components of the individual's social environment. The utility of a social-signaling perspective of pain behaviors for examining, comparing, and interpreting individual and group differences in experimental and clinical pain reports is discussed.

  10. A reliable low cost integrated wireless sensor network for water quality monitoring and level control system in UAE

    Science.gov (United States)

    Abou-Elnour, Ali; Khaleeq, Hyder; Abou-Elnour, Ahmad

    2016-04-01

    In the present work, wireless sensor network and real-time controlling and monitoring system are integrated for efficient water quality monitoring for environmental and domestic applications. The proposed system has three main components (i) the sensor circuits, (ii) the wireless communication system, and (iii) the monitoring and controlling unit. LabView software has been used in the implementation of the monitoring and controlling system. On the other hand, ZigBee and myRIO wireless modules have been used to implement the wireless system. The water quality parameters are accurately measured by the present computer based monitoring system and the measurement results are instantaneously transmitted and published with minimum infrastructure costs and maximum flexibility in term of distance or location. The mobility and durability of the proposed system are further enhanced by fully powering via a photovoltaic system. The reliability and effectiveness of the system are evaluated under realistic operating conditions.

  11. Innovation networks for improving access and quality across the healthcare ecosystem.

    Science.gov (United States)

    Carroll, Mark; James, Judith A; Lardiere, Michael R; Proser, Michelle; Rhee, Kyu; Sayre, Michael H; Shore, Jay H; Ternullo, Joseph

    2010-01-01

    Partnerships between patient communities, healthcare providers, and academic researchers are key to stepping up the pace and public health impact of clinical and translational research supported by the National Institutes of Health. With emphasis shifting toward community engagement and faster translation of research advances into clinical practice, academic researchers have a vital stake in widening the use of health information technology systems and telehealth networks to support collaboration and innovation. However, limited interaction between academic institutions and healthcare providers hinders the ability to form and sustain the integrated networks that are needed to conduct meaningful community-engaged research that improves public health outcomes. Healthcare providers, especially those affiliated with smaller practices, will need sustainable infrastructure and real incentives to utilize such networks, as well as training and additional resources for ongoing technical assistance.

  12. Quality of Context Enhancements and Cost Effective Radio over Fiber Network Planning

    DEFF Research Database (Denmark)

    Shawky, Ahmed Sherif Mahmoud

    and reliable mobile applications is becoming a rising issue for next generation networks. Manufacturers and service providers are not only looking to increase capacity, bandwidth and performance properties, but are also looking into the network's ability to support new applications, features and improved...... services. The increased number of mobile users puts a demand on today's networks in terms of application sensitivity, mobility and reliability. Mobile operators are offering various context-aware services and applications to the user. Today, mobile users are demanding access to dynamic context information...... at any time, thus due to the sensitivity of such context applications, users can easily get frustrated in case the context information received is no longer valid. Mobile operators are in search for methods to ensure reliability of dynamic context information. Another main concern for both mobile...

  13. Optimizing the Quality of Dynamic Context Subscriptions for Scarce Network Resources

    DEFF Research Database (Denmark)

    Shawky, Ahmed; Olsen, Rasmus Løvenstein; Pedersen, Jens Myrup

    2012-01-01

    Scalable access to dynamic context information is a key challenge for future context-sensitive systems. When increasing the access frequency, the information accuracy can improve but at the same time the additional context management traffic may reduce network performance, which creates the oppos......Scalable access to dynamic context information is a key challenge for future context-sensitive systems. When increasing the access frequency, the information accuracy can improve but at the same time the additional context management traffic may reduce network performance, which creates...... the opposite effect on information reliability. In order to understand and control this trade-off, this paper develops a model that allows to calculate context reliability, captured by the so-called mismatch probability, in relation to the network load. The model is subsequently used for a real time algorithm...

  14. The Art of Athlete Leadership: Identifying High-Quality Athlete Leadership at the Individual and Team Level Through Social Network Analysis.

    Science.gov (United States)

    Fransen, Katrien; Van Puyenbroeck, Stef; Loughead, Todd M; Vanbeselaere, Norbert; De Cuyper, Bert; Vande Broek, Gert; Boen, Filip

    2015-06-01

    This research aimed to introduce social network analysis as a novel technique in sports teams to identify the attributes of high-quality athlete leadership, both at the individual and at the team level. Study 1 included 25 sports teams (N = 308 athletes) and focused on athletes' general leadership quality. Study 2 comprised 21 sports teams (N = 267 athletes) and focused on athletes' specific leadership quality as a task, motivational, social, and external leader. The extent to which athletes felt connected with their leader proved to be most predictive for athletes' perceptions of that leader's quality on each leadership role. Also at the team level, teams with higher athlete leadership quality were more strongly connected. We conclude that social network analysis constitutes a valuable tool to provide more insight in the attributes of high-quality leadership both at the individual and at the team level.

  15. Artificial neural networks for prediction of quality in resistance spot welding; Redes neuronales artificiales para la prediccion de la calidad en soldadura por resistencia por puntos

    Energy Technology Data Exchange (ETDEWEB)

    Martin, O.; Lopez, M.; Martin, F.

    2006-07-01

    An artificial neural network is proposed as a tool for predicting from three parameters (weld time, current intensity and electrode sort) if the quality of a resistance spot weld reaches a certain level or not. The quality is determined by cross tension testing. The fact of reaching this quality level or not is the desired output that goes with each input of the artificial neural network during its supervised learning. The available data set is made up of input/desired output pairs and is split randomly into a training subset (to update synaptic weight values) and a validation subset (to avoid overfitting phenomenon by means of cross validation). (Author) 44 refs.

  16. Modelling water quality in drinking water distribution networks from real-time direction data

    Directory of Open Access Journals (Sweden)

    S. Nazarovs

    2012-03-01

    Full Text Available Modelling of contamination spread and location of contamination source in a water distribution network is an important task. The paper considers applicability of real-time flow direction data based model for contaminant transport for a distribution network of a city. Simulations of several contamination scenarios are made to evaluate necessary number of flow direction sensors. It is found that for a model, containing major pipes of Riga distribution system, sensor number decrease from 927 to 207 results in average 20% increase of simulated contaminated length of pipes. Simulation data suggest that optimal number of sensors for Riga model is around 200.

  17. Water quality monitoring protocol for wadeable streams and rivers in the Northern Great Plains Network

    Science.gov (United States)

    Marcia H. Wilson,; Rowe, Barbara L.; Robert A. Gitzen,; Stephen K. Wilson,; Kara J. Paintner-Green,

    2014-01-01

    Preserving the national parks unimpaired for the enjoyment of future generations is a fundamental purpose of the National Park Service (NPS). To address growing concerns regarding the overall physical, chemical, and biological elements and processes of park ecosystems, the NPS implemented science-based management through “Vital Signs” monitoring in 270 national parks (NPS 2007). The Northern Great Plains Network (NGPN) is among the 32 National Park Service Networks participating in this monitoring effort. The NGPN will develop protocols over the next several years to determine the overall health or condition of resources within 13 parks located in Nebraska, North Dakota, South Dakota, and Wyoming.

  18. Descriptive and social network analysis of pig transport data recorded by quality assured pig farms in the UK.

    Science.gov (United States)

    Smith, R P; Cook, A J C; Christley, R M

    2013-02-01

    The aim of this study was to examine farm-to-farm pig movement connections, and the usage of hauliers and abattoirs, for farms in the United Kingdom (UK), to determine the interconnectivity of the pig farm network and the implications this may have for the transmission and control of Salmonella, which was chosen as an example of an important endemic disease. Data were collected from three Quality Assurance Schemes on the use of abattoirs and livestock hauliers by commercial pig farms, and the supply of pigs to and from farms. The observed dataset had considerable variability in the number of direct (farm-to-farm) and indirect (via hauliers or abattoirs) connections between each farm over a 12-month period. The use of multiple hauliers and abattoirs by many farms resulted in considerable interconnectivity between farms due to these indirect routes. The network displayed a higher level of clustering, and short network distances between farms, than that shown by equivalent randomly generated datasets, indicating that infectious diseases might transmit quickly amongst farms but within certain clusters of farms, thus limiting the total number of farms affected. This structure and the occurrence of multiple indirect routes between many pairs of farms (via pig movements to other interconnected farms or from hauliers used by both farms), may indicate that targeting surveillance and controls on those farms with high network centrality characteristics (degree, betweenness) alone would not prove effective. Encouraging all farms within the network to reduce the number of connections might be a useful way of reducing Salmonella prevalence as it would reduce the effect of high prevalence on other farms within the network. The analysis also highlighted differences in the connections between geographical regions that were used to discuss the comparatively low Salmonella prevalence in Scotland detected by previous studies. Farms identified as belonging to large companies, as

  19. Evaluating population exposure to environmental pollutants during Deepavali fireworks displays using air quality measurements of the SAFAR network.

    Science.gov (United States)

    Beig, G; Chate, D M; Ghude, Sachin D; Ali, K; Satpute, Trupti; Sahu, S K; Parkhi, Neha; Trimbake, H K

    2013-06-01

    Indian government has implemented a state of art project "System of Air quality Forecasting And Research (SAFAR)" for assessing the air-quality scenario in Delhi during "Commonwealth Games-2010" which is operational in Delhi. Using a high resolution data of the SAFAR network, we estimate the excess numbers of cases for total, cardiovascular and respiratory mortalities and hospital admissions with the air-quality response to population attributable-risks due to emissions from fireworks displays (Deepavali-2010). The ratios of numbers of excess cases for fireworks displays (Deepavali) to those of non-Deepavali period (CWG-2010) vary from 1.75 to 3.5 for PM(2.5) and from 3 to 8 for PM(10) at monitoring stations in study area except in an airport. These ratios approach to 1 for PM(2.5) or PM(10) in airport area which can be attributed to restrictions on fireworks displays and eventually a very low population exposure. The numbers of excess cases for PM(2.5) and PM(10) during extreme emissions by fireworks displays are about 2-fold to those of non-Deepavali period. The SAFAR is recognized by the Global Urban Research Meteorology and Environment of the World Meteorological Organization and thus results would likely to provide episodic limits for developing countries in common line with the air-quality standards set for developed world for pollutant levels due to emissions from the fireworks displays when population of country celebrates traditional festivals collectively.

  20. Emission Control in River Network System of the Taihu Basin for Water Quality Assurance of Water Environmentally Sensitive Areas

    Directory of Open Access Journals (Sweden)

    Xiao Wang

    2017-02-01

    Full Text Available As pollution incidents frequently occurred in the functional water areas of the Taihu Basin, Yangtze Delta, effective emission control to guarantee water quality in the Taihu Basin became the priority for environmental management. In this study, a new total emission control (TEC method was proposed with an emphasis on the concept of water environmentally sensitive areas (WESAs. This method was verified in Wujiang District and the techniques can be concluded in three steps: (1 a 1-D mathematical model for the study area was established and the model was calibrated using field measurement data; (2 based on an analysis of administrative planning and regulations, WESAs were identified as the main controlling objectives for emission control calculations. The weighting coefficient of local pollution sources was investigated to discuss the effectiveness of TEC on water quality improvement at WESAs; and (3 applying the river network mathematical model, water quality along the river segments was simulated under different pollution control plans. The results proved the effectiveness of TEC in the study area and indicated that a 14.6% reduction in the total amount of ammonia-nitrogen (NH3-N, as well as a 31.1% reduction in the total amount of chemical oxygen demand (CODcr, was essential in order to meet the water quality standard in the WESAs.

  1. Power analysis and trend detection for water quality monitoring data. An application for the Greater Yellowstone Inventory and Monitoring Network

    Science.gov (United States)

    Irvine, Kathryn M.; Manlove, Kezia; Hollimon, Cynthia

    2012-01-01

    An important consideration for long term monitoring programs is determining the required sampling effort to detect trends in specific ecological indicators of interest. To enhance the Greater Yellowstone Inventory and Monitoring Network’s water resources protocol(s) (O’Ney 2006 and O’Ney et al. 2009 [under review]), we developed a set of tools to: (1) determine the statistical power for detecting trends of varying magnitude in a specified water quality parameter over different lengths of sampling (years) and different within-year collection frequencies (monthly or seasonal sampling) at particular locations using historical data, and (2) perform periodic trend analyses for water quality parameters while addressing seasonality and flow weighting. A power analysis for trend detection is a statistical procedure used to estimate the probability of rejecting the hypothesis of no trend when in fact there is a trend, within a specific modeling framework. In this report, we base our power estimates on using the seasonal Kendall test (Helsel and Hirsch 2002) for detecting trend in water quality parameters measured at fixed locations over multiple years. We also present procedures (R-scripts) for conducting a periodic trend analysis using the seasonal Kendall test with and without flow adjustment. This report provides the R-scripts developed for power and trend analysis, tutorials, and the associated tables and graphs. The purpose of this report is to provide practical information for monitoring network staff on how to use these statistical tools for water quality monitoring data sets.

  2. Baseline Surface Radiation Network (BSRN) quality control of solar radiation data on the Gangneung-Wonju National University radiation station

    Science.gov (United States)

    Zo, Il-Sung; Jee, Joon-Bum; Kim, Bu-Yo; Lee, Kyu-Tae

    2017-02-01

    Gangneung-Wonju National University (GWNU) radiation station has been collecting data on global, direct, and diffuse solar radiation since 2011. We conducted a quality control (QC) assessment of GWNU data collected between 2012 and 2014, using procedures outlined by the Baseline Surface Radiation Network (BSRN). The QC process involved the comparison of observations, the correction of observational equipment, the examination of physically possible limits, and the comparative testing of observations and model calculations. Furthermore, we performed a shading check of the observational environment around the GWNU solar station. For each solar radiation element (observed every minute), we performed a QC check and investigated any flagged problems. 98.31% of the data were classified as good quality, while the remaining 1.69% were flagged as bad quality based on the shading check and comparison tests. We then compared the good-quality data to the global solar radiation data observed at the Gangwon Regional Office of Meteorology (GROM). After performing this comparison, the determination coefficient (R2; 0.98) and standard deviation (SD; 0.92 MJ m-2) increased compared to those computed before the QC check (0.97 and 1.09 MJ m-2). Even considering the geographical differences and weather effects between the two stations, these results are statistically significant. However, we also confirmed that the quality of the GROM data deteriorated in relation to weather conditions because of poor maintenance. Hence, we conclude that good-quality observational data rely on the maintenance of both observational equipment and the surrounding environment under optimal conditions.

  3. Quality-aware Data Gathering and Disseminating in Chain-based Wireless Sensor Networks

    NARCIS (Netherlands)

    Taghikhaki, Zahra

    2015-01-01

    Recently wireless sensor network has emerged as a promising technology that could induce an innovation wave in the field of (infra)structures monitoring because of its fast deployment, little interference with the surrounding, self-organization, flexibility and scalability. A key factor for the prol

  4. Quality ILL Service in the Network of CSIC Libraries: Five Years of Progress.

    Science.gov (United States)

    Malo de Molina y Martin-Montalvo, Teresa; Quintana Martinez, Isabel

    1997-01-01

    Although Spanish interlibrary loans (ILL) have increased from 100 to 525 per 100,000 inhabitants, there are still many problems to resolve. Examines a plan developed by the Consejo Superior de Investigaciones Cientificas (CSIC) Library Network to improve ILL services. Provides a comparative analysis of ILL services from 1992-1995. Includes charts…

  5. Chip-set for quality of service support in passive optical networks

    Science.gov (United States)

    Ringoot, Edwin; Hoebeke, Rudy; Slabbinck, B. Hans; Verhaert, Michel

    1998-10-01

    In this paper the design of a chip-set for QoS provisioning in ATM-based Passive Optical Networks is discussed. The implementation of a general-purpose switch chip on the Optical Network Unit is presented, with focus on the design of the cell scheduling and buffer management logic. The cell scheduling logic supports `colored' grants, priority jumping and weighted round-robin scheduling. The switch chip offers powerful buffer management capabilities enabling the efficient support of GFR and UBR services. Multicast forwarding is also supported. In addition, the architecture of a MAC controller chip developed for a SuperPON access network is introduced. In particular, the permit scheduling logic and its implementation on the Optical Line Termination will be discussed. The chip-set enables the efficient support of services with different service requirements on the SuperPON. The permit scheduling logic built into the MAC controller chip in combination with the cell scheduling and buffer management capabilities of the switch chip can be used by network operators to offer guaranteed service performance to delay sensitive services, and to efficiently and fairly distribute any spare capacity to delay insensitive services.

  6. Modelling of Picosatellite Constellation-Based Network and Effects on Quality of Service

    Science.gov (United States)

    2015-03-01

    interface module, the network interfaces, wireless subnet, and application were defined using the parameters in Table 6. The channel frequency, data...THIS PAGE INTENTIONALLY LEFT BLANK vi TABLE OF CONTENTS I. INTRODUCTION ...of our lives together. xv THIS PAGE INTENTIONALLY LEFT BLANK xvi I. INTRODUCTION A. BACKGROUND The development of modern space technology

  7. Power Quality Improvement Using an Enhanced Network-Side-Shunt-Connected Dynamic Voltage Restorer

    Science.gov (United States)

    Fereidouni, Alireza; Masoum, Mohammad A. S.; Moghbel, Moayed

    2015-10-01

    Among the four basic dynamic voltage restorer (DVR) topologies, the network-side shunt-connected DVR (NSSC-DVR) has a relatively poor performance and is investigated in this paper. A new configuration is proposed and implemented for NSSC-DVR to enhance its performance in compensating (un)symmetrical deep and long voltage sags and mitigate voltage harmonics. The enhanced NSSC-DVR model includes a three-phase half-bridge semi-controlled network-side-shunt-connected rectifier and a three-phase full-bridge series-connected inverter implemented with a back-to-back configuration through a bidirectional buck-boost converter. The network-side-shunt-connected rectifier is employed to inject/draw the required energy by NSSC-DVR to restore the load voltage to its pre-fault value under sag/swell conditions. The buck-boost converter is responsible for maintaining the DC-link voltage of the series-connected inverter at its designated value in order to improve the NSSC-DVR capability in compensating deep and long voltage sags/swells. The full-bridge series-connected inverter permits to compensate unbalance voltage sags containing zero-sequence component. The harmonic compensation of the load voltage is achieved by extracting harmonics from the distorted network voltage using an artificial neural network (ANN) method called adaptive linear neuron (Adaline) strategy. Detailed simulations are performed by SIMULINK/MATLAB software for six case studies to verify the highly robustness of the proposed NSSC-DVR model under various conditions.

  8. AN APPLE GRADING SYSTEM ACCORDING TO EUROPEAN FRUIT QUALITY STANDARDS USING GABOR FILTER AND ARTIFICIAL NEURAL NETWORKS

    Directory of Open Access Journals (Sweden)

    KEYVAN ASEFPOUR VAKILIAN

    2016-04-01

    Full Text Available With the advent of applications of machine learning methods in food engineering in recent decades, several intelligent methods have been introduced in fruit grading technology. In this study, an apple grading system is presented using image’s textural features extraction and artificial intelligence. The objective of this study was to simplify the use of Gabor filter in classification of two varieties of apple fruits (Golden Delicious and Red Delicious in four categories according to the European fruit quality standards. Using this filter, neural network classifier was trained for four category grading of the fruits. Two textural parameters were extracted from each obtained image: mean and variance of energy values of obtained image representing image’s luminous intensity and contrast, respectively. Experimental results indicated that the training of extracted features of about 350 fruits enabled the network to classify the test samples with appropriate accuracy. Compared to the state-of-the-art, the proposed grading categories (‘Extra’, ‘Type 1’, ‘Type 2’ and ‘Rejected’ classes achieved acceptable recognition rates of about 89 % and 92 % overall accuracy for Golden Delicious and Red Delicious varieties, respectively. These experimental results show the appropriate application of proposed method in fast grading of apple fruits. Furthermore, proposed feature extraction and network training methods can be used efficiently in online applications.

  9. Optimized Quality of Service for Real-Time Wireless Sensor Networks Using a Partitioning Multipath Routing Approach

    Directory of Open Access Journals (Sweden)

    Mohammed Zaki Hasan

    2013-01-01

    Full Text Available Multimedia sensor networks for real-time applications have strict constraints on delay, packet loss, and energy consumption requirements. For example, video streaming in a disaster-management scenario requires careful handling to ensure that the end-to-end delay is within the acceptable range and the video is received properly without any distortion. The failure to transmit a video stream effectively occurs for many reasons, including sensor function limitations, excessive power consumption, and a lack of routing reliability. We propose a novel mathematical model for quality of service (QoS route determination that enables a sensor to determine the optimal path for minimising resource use while satisfying the required QoS constraints. The proposed mathematical model uses the Lagrangian relaxation mixed integer programming technique to define critical parameters and appropriate objective functions for controlling the adaptive QoS constrained route discovery process. Performance trade-offs between QoS requirements and energy efficiency were simulated using the LINGO mathematical programming language. The proposed approach significantly improves the network lifetime, while reducing energy consumption and decreasing average end-to-end delays within the sensor network via optimised resource sharing in intermediate nodes compared with existing routing algorithms.

  10. Application of LMS-Based NN Structure for Power Quality Enhancement in a Distribution Network Under Abnormal Conditions.

    Science.gov (United States)

    Agarwal, Rahul Kumar; Hussain, Ikhlaq; Singh, Bhim

    2017-03-16

    This paper proposes an application of a least mean-square (LMS)-based neural network (NN) structure for the power quality improvement of a three-phase power distribution network under abnormal conditions. It uses a single-layer neuron structure for the control in a distribution static compensator (DSTATCOM) to attenuate the harmonics such as noise, bias, notches, dc offset, and distortion, injected in the grid current due to connection of several nonlinear loads. This admittance LMS-based NN structure has a simple architecture which reduces the computational complexity and burden which makes it easy to implement. A DSTATCOM is a custom power device which performs various functionalities such as harmonics attenuation, reactive power compensation, load balancing, zero voltage regulation, and power factor correction. Other main contribution of this paper involves operation of the system under abnormal conditions of distribution network which means noise and distortion in voltage and imbalance in three-phase voltages at the point of interconnection. For substantiating and demonstrating the performance of proposed control approach, simulations are carried on MATLAB/Simulink software and corresponding experimental tests are conducted on a developed prototype in the laboratory.

  11. MATIN: a random network coding based framework for high quality peer-to-peer live video streaming.

    Science.gov (United States)

    Barekatain, Behrang; Khezrimotlagh, Dariush; Aizaini Maarof, Mohd; Ghaeini, Hamid Reza; Salleh, Shaharuddin; Quintana, Alfonso Ariza; Akbari, Behzad; Cabrera, Alicia Triviño

    2013-01-01

    In recent years, Random Network Coding (RNC) has emerged as a promising solution for efficient Peer-to-Peer (P2P) video multicasting over the Internet. This probably refers to this fact that RNC noticeably increases the error resiliency and throughput of the network. However, high transmission overhead arising from sending large coefficients vector as header has been the most important challenge of the RNC. Moreover, due to employing the Gauss-Jordan elimination method, considerable computational complexity can be imposed on peers in decoding the encoded blocks and checking linear dependency among the coefficients vectors. In order to address these challenges, this study introduces MATIN which is a random network coding based framework for efficient P2P video streaming. The MATIN includes a novel coefficients matrix generation method so that there is no linear dependency in the generated coefficients matrix. Using the proposed framework, each peer encapsulates one instead of n coefficients entries into the generated encoded packet which results in very low transmission overhead. It is also possible to obtain the inverted coefficients matrix using a bit number of simple arithmetic operations. In this regard, peers sustain very low computational complexities. As a result, the MATIN permits random network coding to be more efficient in P2P video streaming systems. The results obtained from simulation using OMNET++ show that it substantially outperforms the RNC which uses the Gauss-Jordan elimination method by providing better video quality on peers in terms of the four important performance metrics including video distortion, dependency distortion, End-to-End delay and Initial Startup delay.

  12. MATIN: a random network coding based framework for high quality peer-to-peer live video streaming.

    Directory of Open Access Journals (Sweden)

    Behrang Barekatain

    Full Text Available In recent years, Random Network Coding (RNC has emerged as a promising solution for efficient Peer-to-Peer (P2P video multicasting over the Internet. This probably refers to this fact that RNC noticeably increases the error resiliency and throughput of the network. However, high transmission overhead arising from sending large coefficients vector as header has been the most important challenge of the RNC. Moreover, due to employing the Gauss-Jordan elimination method, considerable computational complexity can be imposed on peers in decoding the encoded blocks and checking linear dependency among the coefficients vectors. In order to address these challenges, this study introduces MATIN which is a random network coding based framework for efficient P2P video streaming. The MATIN includes a novel coefficients matrix generation method so that there is no linear dependency in the generated coefficients matrix. Using the proposed framework, each peer encapsulates one instead of n coefficients entries into the generated encoded packet which results in very low transmission overhead. It is also possible to obtain the inverted coefficients matrix using a bit number of simple arithmetic operations. In this regard, peers sustain very low computational complexities. As a result, the MATIN permits random network coding to be more efficient in P2P video streaming systems. The results obtained from simulation using OMNET++ show that it substantially outperforms the RNC which uses the Gauss-Jordan elimination method by providing better video quality on peers in terms of the four important performance metrics including video distortion, dependency distortion, End-to-End delay and Initial Startup delay.

  13. Application of Genetic Algorithm on Quality Graded Networks for Intelligent Routing

    CERN Document Server

    Nair, T R Gopalakrishnan; 10.1109/WICT.2011.6141306

    2012-01-01

    In the past decade, significant research has been carried out for realizing intelligent network routing using advertisement, position and near-optimum node selection schemes. In this paper, a grade-based two-level node selection method along with genetic algorithm (GA) is proposed for realizing an efficient routing scheme. This method assumes that the nodes are intelligent and that there exists a knowledge base about the environment in their local memory. There are two levels for approaching the effective route selection process through grading. At the first level, grade-based selection is applied and at the second level, the optimum path is explored using GA. The simulation has been carried out on different topological structures, and a significant reduction in time is achieved for determining the optimal path through this method compared to the non-graded networks.

  14. Parameterization Method for Compartmental Water Quality Models with Respect to River Network Structure and Parameter Variability

    Science.gov (United States)

    Riml, J.; Wörman, A.

    2009-12-01

    Knowledge about both hydrochemical processes and watershed characteristics are key factors when trying to model transportation and retention of nutrients in a river system. The proposed parameterization method opens for the possibility to introduce independently measured parameters in lumped (compartmental) models. The analysis provides a better understanding of the model structure and aids in the calculation of optimal parameter values. The investigation uses a 1D distributed network model and parameterizes the result in a form appropriate for a compartmental model structure that has been developed for Swedish conditions during decades. The main tool for the analysis is the comparison of temporal moments between the two model structures. The parameterization gives information about the importance of river hydraulics but also about the effect of geomorphological processes such as the river network structure and parameter variability within the watershed. The methodology does also reveal information about predominating processes during distinctive hydrological conditions.

  15. Synergies of quality and sustainability - shared value in the building supply network

    OpenAIRE

    Isaksson, Raine

    2014-01-01

    Background: The field of CSR has developed from charity into an integration of shared value into the business model. In developing countries there are enormous needs for better housing. This therefore could be an area where companies might be able to create shared value. It is however unclear how shared value would look like in the building supply network and to what extent this already exists. Purpose: The purpose is to detect future areas of research by identifying opportunities for shared ...

  16. The TOMPs ambient air monitoring network - Continuous data on UK air quality for over 20 years.

    Science.gov (United States)

    Graf, Carola; Katsoyiannis, Athanasios; Jones, Kevin C; Sweetman, Andrew J

    2016-10-01

    Long-term air monitoring datasets are needed for persistent organic pollutants (POPs) to assess the effectiveness of source abatement measures and the factors controlling ambient levels. The Toxic Organic Micro Pollutants (TOMPs) Network, which has operated since 1991, collects ambient air samples at six sites across England and Scotland, using high-volume active air samplers. The network provides long-term ambient air trend data for a range of POPs at both urban and rural locations. Data from the network provides the UK Government, regulators and researchers with valuable information on emission/source controls and on the effectiveness of international chemicals regulation such as the Stockholm Convention and UN/ECE Protocol on POPs. The target chemicals of TOMPs have been polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), and, since 2010, polybrominated diphenyl ethers (PBDEs). The continuous monitoring of these compounds demonstrates the constant decline in UK air concentrations over the last two decades, with average clearance rates for PCDD/Fs in urban locations of 5.1 years and for PCBs across all sites 6.6 years. No significant declines in rural locations for PCDD/Fs have been observed. There is a strong observable link between the declining ambient air concentrations and the emission reductions estimated in the annually produced National Atmospheric Emission Inventory (NAEI) dataset. These findings clearly demonstrate the unique strengths of long-term consistent datasets for the evaluation of the success of chemical regulation and control.

  17. The RING 2.0 web server for high quality residue interaction networks.

    Science.gov (United States)

    Piovesan, Damiano; Minervini, Giovanni; Tosatto, Silvio C E

    2016-07-08

    Residue interaction networks (RINs) are an alternative way of representing protein structures where nodes are residues and arcs physico-chemical interactions. RINs have been extensively and successfully used for analysing mutation effects, protein folding, domain-domain communication and catalytic activity. Here we present RING 2.0, a new version of the RING software for the identification of covalent and non-covalent bonds in protein structures, including π-π stacking and π-cation interactions. RING 2.0 is extremely fast and generates both intra and inter-chain interactions including solvent and ligand atoms. The generated networks are very accurate and reliable thanks to a complex empirical re-parameterization of distance thresholds performed on the entire Protein Data Bank. By default, RING output is generated with optimal parameters but the web server provides an exhaustive interface to customize the calculation. The network can be visualized directly in the browser or in Cytoscape. Alternatively, the RING-Viz script for Pymol allows visualizing the interactions at atomic level in the structure. The web server and RING-Viz, together with an extensive help and tutorial, are available from URL: http://protein.bio.unipd.it/ring.

  18. A decision tree model to estimate the value of information provided by a groundwater quality monitoring network

    Directory of Open Access Journals (Sweden)

    A. I. Khader

    2013-05-01

    Full Text Available Groundwater contaminated with nitrate poses a serious health risk to infants when this contaminated water is used for culinary purposes. To avoid this health risk, people need to know whether their culinary water is contaminated or not. Therefore, there is a need to design an effective groundwater monitoring network, acquire information on groundwater conditions, and use acquired information to inform management options. These actions require time, money, and effort. This paper presents a method to estimate the value of information (VOI provided by a groundwater quality monitoring network located in an aquifer whose water poses a spatially heterogeneous and uncertain health risk. A decision tree model describes the structure of the decision alternatives facing the decision-maker and the expected outcomes from these alternatives. The alternatives include (i ignore the health risk of nitrate-contaminated water, (ii switch to alternative water sources such as bottled water, or (iii implement a previously designed groundwater quality monitoring network that takes into account uncertainties in aquifer properties, contaminant transport processes, and climate (Khader, 2012. The VOI is estimated as the difference between the expected costs of implementing the monitoring network and the lowest-cost uninformed alternative. We illustrate the method for the Eocene Aquifer, West Bank, Palestine, where methemoglobinemia (blue baby syndrome is the main health problem associated with the principal contaminant nitrate. The expected cost of each alternative is estimated as the weighted sum of the costs and probabilities (likelihoods associated with the uncertain outcomes resulting from the alternative. Uncertain outcomes include actual nitrate concentrations in the aquifer, concentrations reported by the monitoring system, whether people abide by manager recommendations to use/not use aquifer water, and whether people get sick from drinking contaminated water

  19. A decision tree model to estimate the value of information provided by a groundwater quality monitoring network

    Science.gov (United States)

    Khader, A. I.; Rosenberg, D. E.; McKee, M.

    2013-05-01

    Groundwater contaminated with nitrate poses a serious health risk to infants when this contaminated water is used for culinary purposes. To avoid this health risk, people need to know whether their culinary water is contaminated or not. Therefore, there is a need to design an effective groundwater monitoring network, acquire information on groundwater conditions, and use acquired information to inform management options. These actions require time, money, and effort. This paper presents a method to estimate the value of information (VOI) provided by a groundwater quality monitoring network located in an aquifer whose water poses a spatially heterogeneous and uncertain health risk. A decision tree model describes the structure of the decision alternatives facing the decision-maker and the expected outcomes from these alternatives. The alternatives include (i) ignore the health risk of nitrate-contaminated water, (ii) switch to alternative water sources such as bottled water, or (iii) implement a previously designed groundwater quality monitoring network that takes into account uncertainties in aquifer properties, contaminant transport processes, and climate (Khader, 2012). The VOI is estimated as the difference between the expected costs of implementing the monitoring network and the lowest-cost uninformed alternative. We illustrate the method for the Eocene Aquifer, West Bank, Palestine, where methemoglobinemia (blue baby syndrome) is the main health problem associated with the principal contaminant nitrate. The expected cost of each alternative is estimated as the weighted sum of the costs and probabilities (likelihoods) associated with the uncertain outcomes resulting from the alternative. Uncertain outcomes include actual nitrate concentrations in the aquifer, concentrations reported by the monitoring system, whether people abide by manager recommendations to use/not use aquifer water, and whether people get sick from drinking contaminated water. Outcome costs

  20. A decision tree model to estimate the value of information provided by a groundwater quality monitoring network

    Directory of Open Access Journals (Sweden)

    A. Khader

    2012-12-01

    Full Text Available Nitrate pollution poses a health risk for infants whose freshwater drinking source is groundwater. This risk creates a need to design an effective groundwater monitoring network, acquire information on groundwater conditions, and use acquired information to inform management. These actions require time, money, and effort. This paper presents a method to estimate the value of information (VOI provided by a groundwater quality monitoring network located in an aquifer whose water poses a spatially heterogeneous and uncertain health risk. A decision tree model describes the structure of the decision alternatives facing the decision maker and the expected outcomes from these alternatives. The alternatives include: (i ignore the health risk of nitrate contaminated water, (ii switch to alternative water sources such as bottled water, or (iii implement a previously designed groundwater quality monitoring network that takes into account uncertainties in aquifer properties, pollution transport processes, and climate (Khader and McKee, 2012. The VOI is estimated as the difference between the expected costs of implementing the monitoring network and the lowest-cost uninformed alternative. We illustrate the method for the Eocene Aquifer, West Bank, Palestine where methemoglobinemia is the main health problem associated with the principal pollutant nitrate. The expected cost of each alternative is estimated as the weighted sum of the costs and probabilities (likelihoods associated with the uncertain outcomes resulting from the alternative. Uncertain outcomes include actual nitrate concentrations in the aquifer, concentrations reported by the monitoring system, whether people abide by manager recommendations to use/not-use aquifer water, and whether people get sick from drinking contaminated water. Outcome costs include healthcare for methemoglobinemia, purchase of bottled water, and installation and maintenance of the groundwater monitoring system. At current

  1. Survey of chemical quality and corrosion and scaling potential of drinking water distribution network of Bushehr city

    Directory of Open Access Journals (Sweden)

    Ghorban Asgari

    2015-05-01

    Full Text Available Background: Determination of water corrosion indexes is one of the affecting approaches on drinking water management. Corrosion can causes economical problems, reduce the useful life of water facilities, and health damages to consumers. The aim of this study was to survey of chemical quality and determination of the corrosion potential of the water distribution system in Bushehr city. Materials and Methods: In this cross sectional study, the sampling was carried out during one year from 7 stations. Values of Langelier, Ryznar, corrosivity and Puckorius indexes were calculated by using such parameters as pH, total dissolved solids, temperature, permanent and temporary hardness, and alkalinity. Results: The average values for pH, total dissolved solids, temperature, and alkalinity was obtained 7.5, 586.82 mg/L, 66.92 mg/L CaCO3. The corrosion indexes were calculated Langelier 0.28, Ryznar 7.24, corrosivity 12.02, and Puckorius 7.81. Conclusion: Bushehr city water is tends to be slightly scaling based on Ryznar index and corrosive based on other studied indexes. Overall, the water quality was tending to corrosive and, therefore, recommended to use corrosion resistance pipes in water transmission and network or lining the inner wall of pipes or correction the water quality.

  2. The aquatic real-time monitoring network; in-situ optical sensors for monitoring the nation's water quality

    Science.gov (United States)

    Pellerin, Brian A.; Bergamaschi, Brian A.; Murdoch, Peter S.; Downing, Bryan D.; Saraceno, John Franco; Aiken, George R.; Striegl, Robert G.

    2011-01-01

    Floods, hurricanes, and longer-term changes in climate and land use can have profound effects on water quality due to shifts in hydrologic flow paths, water residence time, precipitation patterns, connectivity between rivers and uplands, and many other factors. In order to understand and respond to changes in hydrology and water quality, resource managers and policy makers have a need for accurate and early indicators, as well as the ability to assess possible mechanisms and likely outcomes. In-situ optical sensors-those making continuous measurements of constituents by absorbance or fluorescence properties in the environment at timescales of minutes to years-have a long history in oceanography for developing highly resolved concentrations and fluxes, but are not commonly used in freshwater systems. The United States Geological Survey (USGS) has developed the Aquatic Real-Time Monitoring Network, with high-resolution optical data collection for organic carbon, nutrients, and sediment in large coastal rivers, along with continuous measurements of discharge, water temperature, and dissolved inorganic carbon. The collecting of continuous water-quality data in the Nation?s waterways has revealed temporal trends and spatial patterns in constituents that traditional sampling approaches fail to capture, and will serve a critical role in monitoring, assessment and decision-making in a rapidly changing landscape.

  3. Attracting, Retaining, and Developing Quality Teachers in Small Schools. Small Schools Network Information Exchange No. 5.

    Science.gov (United States)

    Regional Laboratory for Educational Improvement of the Northeast & Islands, Andover, MA.

    This collection of articles gathers reprinted materials on teacher attraction and retention for small and rural school districts. The material is organized in two sections: (1) Attracting and Retaining Quality Teachers and (2) Challenging and Enriching Current Staff. Reprints from a number of publications present strategies for addressing the…

  4. A Bayesian Belief Network for Quality Assessment: Application to Employment Officer Support

    Science.gov (United States)

    Wooff, D. A.; Schneider, J. M.

    2006-01-01

    Background: "Supported" employment stipulates that disabled people should have real jobs for real pay. This paper models kinds of supported employment, assesses how the support and placement features affect its outcomes and its quality from the perspective of the employees, and provides a dynamic model to help explore what types of interventions…

  5. Learning Principal Component Analysis by Using Data from Air Quality Networks

    Science.gov (United States)

    Perez-Arribas, Luis Vicente; Leon-González, María Eugenia; Rosales-Conrado, Noelia

    2017-01-01

    With the final objective of using computational and chemometrics tools in the chemistry studies, this paper shows the methodology and interpretation of the Principal Component Analysis (PCA) using pollution data from different cities. This paper describes how students can obtain data on air quality and process such data for additional information…

  6. Qualities of Peer Relations on Social Networking Websites: Predictions from Negative Mother-Teen Interactions

    Science.gov (United States)

    Szwedo, David E.; Mikami, Amori Yee; Allen, Joseph P.

    2011-01-01

    This study examined associations between characteristics of teenagers' relationships with their mothers and their later socializing behavior and peer relationship quality online. At age 13, teenagers and their mothers participated in an interaction in which mothers' and adolescents' behavior undermining autonomy and relatedness was observed and…

  7. Quantifying the quality of service of streaming media in differentiated services networks

    NARCIS (Netherlands)

    Agrawal, D.K.; Kleiberg, T.; Papp, S.; Kooij, R.E.; Mieghem, P. van

    2007-01-01

    Quality of Service (QoS) support in the current internet is indispensable because of QoS-sensitive real-time applications such as Voice-over-IP, IP-TV, video conferencing, online gaming etc. Since the introduction of the Differentiated Services (Diff-Serv) architecture there has been considerable

  8. Quantifying the Quality of Service of Streaming Media in Differentiated Services Networks

    NARCIS (Netherlands)

    Agrawal, D.K.; Kleiberg, T.; Papp, S.; Kooij, R.E.; Van Mieghem, P.

    2007-01-01

    Quality of Service (QoS) support in the current internet is indispensable because of QoS-sensitive real-time applications such as Voice-over-IP, IP-TV, video conferencing, online gaming etc. Since the introduction of the Differentiated Services (Diff-Serv) architecture there has been considerable

  9. Quality of children's knowledge representations in digital text comprehension: Evidence from pathfinder networks

    NARCIS (Netherlands)

    Fesel, S.S.; Segers, P.C.J.; Clariana, R.B.; Verhoeven, L.T.W.

    2015-01-01

    Children in primary school read digital texts for school purposes while current research has shown that forming a coherent knowledge structure of such texts is challenging. We compared the quality of ninety 6th grade children's knowledge structures after the reading of four different hierarchically

  10. Quality of children's knowledge representations in digital text comprehension: Evidence from pathfinder networks

    NARCIS (Netherlands)

    Fesel, S.S.; Segers, P.C.J.; Clariana, R.B.; Verhoeven, L.T.W.

    2015-01-01

    Children in primary school read digital texts for school purposes while current research has shown that forming a coherent knowledge structure of such texts is challenging. We compared the quality of ninety 6th grade children's knowledge structures after the reading of four different hierarchically

  11. Satellite Remote Sensing with Artificial Neural Network Modeling Techniques for Water Quality Monitoring

    Science.gov (United States)

    Kuo, Y. C.; Chen, C. F.

    2016-12-01

    The analyzed parameters of the water quality samples in Lake Nicaragua and Lake Managua include basic physical and chemical water quality parameters, nutrients, bacteria and zooplankton index, heavy metals and organic compounds in the sediments etc. 5 parameters are tested to assess lake eutrophication. To associate with satellite data, the analysis is aim to establish a set of mathematical transformations to convert the model spectra of satellite imagery reactions on water quality parameters and further to calculate the concentration of the parameters in both lakes. The sampling period took place during the rainy season. The high cloud-covered satellite imagery did not provide a completed available data for the analysis. Therefore, we used mathematical techniques to remake an image which contains a completed lake areas. Following by using linear equation to build the water quality models, the results suggested that the testing of chlorophyll in the model performance was the most accurate, and then the suspended solids, total phosphorus and total nitrogen. Fecal colon bacilli, of all parameters, has the worst performance in testing accuracy.

  12. Quantifying the quality of service of streaming media in differentiated services networks

    NARCIS (Netherlands)

    Agrawal, D.K.; Kleiberg, T.; Papp, S.; Kooij, R.E.; Mieghem, P. van

    2007-01-01

    Quality of Service (QoS) support in the current internet is indispensable because of QoS-sensitive real-time applications such as Voice-over-IP, IP-TV, video conferencing, online gaming etc. Since the introduction of the Differentiated Services (Diff-Serv) architecture there has been considerable wo

  13. Quantifying the Quality of Service of Streaming Media in Differentiated Services Networks

    NARCIS (Netherlands)

    Agrawal, D.K.; Kleiberg, T.; Papp, S.; Kooij, R.E.; Van Mieghem, P.

    2007-01-01

    Quality of Service (QoS) support in the current internet is indispensable because of QoS-sensitive real-time applications such as Voice-over-IP, IP-TV, video conferencing, online gaming etc. Since the introduction of the Differentiated Services (Diff-Serv) architecture there has been considerable wo

  14. Long Term Analysis of Ozone Night Peaks in the Portuguese Air Quality Station Network

    Science.gov (United States)

    Castanheira, J. M.; Parracho, A. C.; Barros, N.; Fontes, T.; Silva, M. P.; Ramos, A. M. M.; Carvalho, A. C.

    2014-12-01

    The gross pattern of the ozone daily cycle in urban areas is similar to that of rural areas, which shows a unimodal variation. However, urban areas can evidence a secondary peak in ozone concentrations during the nighttime, thus presenting a bimodal variation in the daily cycle. Although the occurrence of nocturnal maxima (peaks) has been identified in previous studies, statistics based on long data series have not yet been fully analyzed. The main goal of this communication is to present a study of the daily variation of surface ozone, the frequency of occurrence of nocturnal maxima, their seasonality and their dependence on the type of air quality station. Hourly ozone concentrations collected in 39 background air quality stations during 24 years in Portugal were analyzed. Relationships between the frequency of occurrence of nighttime peaks and the season and the type of air quality station are demonstrated. Using road traffic data, it is suggested that the dependence on the type of air quality station is due to the impact of road traffic emissions in the late afternoon and early morning ozone titration. Moreover, using an automatic weather type classification, relationships between weather types and surface ozone concentrations are also suggested.

  15. Location-quality-aware policy optimisation for relay selection in mobile networks

    DEFF Research Database (Denmark)

    Nielsen, Jimmy Jessen; Olsen, Rasmus Løvenstein; Madsen, Tatiana Kozlova;

    2016-01-01

    the joint influence of these two factors in the decision process for the example of a mobile location-based relay selection approach using a continuous time Markov chain model. Efficient algorithms are developed based on this model to obtain optimal relay policies under consideration of localization errors...... mobility and propagation models illustrates the applicability of the model-based policy optimizations for realistic scenarios.......In order to perform location-based network optimization, the necessary decision information such as current location needs to be collected from the mobile nodes. The accuracy of the decision information, as e.g. influenced by the localization solution, is one of the influencing factors...

  16. Management of Power Quality Issues in Low Voltage Networks using Electric Vehicles: Experimental Validation

    DEFF Research Database (Denmark)

    Martinenas, Sergejus; Knezovic, Katarina; Marinelli, Mattia

    2017-01-01

    As Electric Vehicles (EVs) are becoming more wide spread, their high power consumption presents challenges for the residential low voltage networks, especially when connected to long feeders with unevenly distributed loads. However, if intelligently integrated, EVs can also partially solve...... and voltage unbalances by a local smart charging algorithm based on a droop controller. In order to validate this capability, a low-voltage grid with a share of renewable resources is recreated in SYSLAB PowerLabDK. The experimental results demonstrate the advantages of the intelligent EV charging...

  17. New Challenges in Quality of Services Control Architectures in Next Generation Networks

    OpenAIRE

    Vallejo Blanxart, Àlex

    2010-01-01

    A mesura que Internet i les xarxes IP s'han anat integrant dins la societat i les corporacions, han anat creixent les expectatives de nous serveis convergents així com les expectatives de qualitat en les comunicacions. Les Next Generation Networks (NGN) donen resposta a les noves necessitats i representen el nou paradigma d'Internet a partir de la convergència IP. Un dels aspectes menys desenvolupats de les NGN és el control de la Qualitat del Servei (QoS), especialment crític en les comunica...

  18. A quality of service routing protocol based on mobility prediction in mobile ad hoc networks

    Institute of Scientific and Technical Information of China (English)

    王建新; 邓曙光; 陈松乔; 陈建二

    2003-01-01

    A QoS routing protocol based on mobility prediction is proposed. The protocol selects the steadiest path based on mobility prediction and QoS requirements on bandwidth, delay, and so forth. The main properties of the protocol as follows. (1) Each node just broadcasts its own information, so the packet is very small and can get to the destination in a very short time. (2)When another path is built for the same QoS requirements, the original path has higher priority.(3) The update messages are reduced by using mobility prediction. (4) Data packets carry the information of link change using piggyback, which is helpful for forecasting the link status more accurately. (5) When source node gets Resource-Reserve and reconnect packets at the same time, it selects reconnect packet over Resource-Reserve packet. The results of simulation show that the protocol has good network performance with low control overload, and efficiently supports transmitting multimedia with QoS requirements in mobile ad hoc networks.

  19. Skillrank: Towards a Hybrid Method to Assess Quality and Confidence of Professional Skills in Social Networks

    Directory of Open Access Journals (Sweden)

    Jose María Álvarez-Rodríguez

    2015-01-01

    Full Text Available The present paper introduces a hybrid technique to measure the expertise of users by analyzing their profiles and activities in social networks. Currently, both job seekers and talent hunters are looking for new and innovative techniques to filter jobs and candidates where candidates are trying to improve and make their profiles more attractive. In this sense, the Skillrank approach is based on the conjunction of existing and well-known information and expertise retrieval techniques that perfectly fit the existing web and social media environment to deliver an intelligent component to integrate the user context in the analysis of skills confidence. A major outcome of this approach is that it actually takes advantage of existing data and information available on the web to perform both a ranked list of experts in a field and a confidence value for every professional skill. Thus, expertise and experts can be detected, verified, and ranked using a suited trust metric. An experiment to validate the Skillrank technique based on precision and recall metrics is also presented using two different datasets: (1 ad hoc created using real data from a professional social network and (2 real data extracted from the LinkedIn API.

  20. Super-resolution convolutional neural network for the improvement of the image quality of magnified images in chest radiographs

    Science.gov (United States)

    Umehara, Kensuke; Ota, Junko; Ishimaru, Naoki; Ohno, Shunsuke; Okamoto, Kentaro; Suzuki, Takanori; Shirai, Naoki; Ishida, Takayuki

    2017-02-01

    Single image super-resolution (SR) method can generate a high-resolution (HR) image from a low-resolution (LR) image by enhancing image resolution. In medical imaging, HR images are expected to have a potential to provide a more accurate diagnosis with the practical application of HR displays. In recent years, the super-resolution convolutional neural network (SRCNN), which is one of the state-of-the-art deep learning based SR methods, has proposed in computer vision. In this study, we applied and evaluated the SRCNN scheme to improve the image quality of magnified images in chest radiographs. For evaluation, a total of 247 chest X-rays were sampled from the JSRT database. The 247 chest X-rays were divided into 93 training cases with non-nodules and 152 test cases with lung nodules. The SRCNN was trained using the training dataset. With the trained SRCNN, the HR image was reconstructed from the LR one. We compared the image quality of the SRCNN and conventional image interpolation methods, nearest neighbor, bilinear and bicubic interpolations. For quantitative evaluation, we measured two image quality metrics, peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). In the SRCNN scheme, PSNR and SSIM were significantly higher than those of three interpolation methods (pmethods without any obvious artifacts. These preliminary results indicate that the SRCNN scheme significantly outperforms conventional interpolation algorithms for enhancing image resolution and that the use of the SRCNN can yield substantial improvement of the image quality of magnified images in chest radiographs.

  1. Evaluation and classification of power quality disturbances based on discrete Wavelet transform and artificial neural networks

    OpenAIRE

    Alshahrani, S; Abbod, M; Alamri, B; Taylor, G.

    2015-01-01

    In this paper, detection method and classification technique of power quality disturbances is presented. Due to the increase of nonlinear load recently, it becomes an essential requirement to insure high level of power supply and efficient commotional consuming. Wavelet Transform represents a powerful mathematical platform which is needed especially at non-stationary situations. Disturbances are fed into wavelets to filter, detect and extract its features at different frequencies. Training of...

  2. Underground networking: the potential for improving yield and quality of pot-grown herbs with mycorrhizas.

    Science.gov (United States)

    Schroeder, Viviane; Gange, Alan C; Stead, Anthony D

    2012-01-30

    With constant pressure on herb growers to perform to a continuous high standard, finding new ways to improve herb quality and or quantity are gaining importance, with arbuscular mycorrhizal fungi (AMF) presenting one possible solution. Viviane Schroeder, Alan Gange and Anthony Stead discuss the introduction of AMF to the herb growth cycle and discuss the benefits and costs that their symbiosis with plants bring to modern agriculture. Copyright © 2011 Society of Chemical Industry.

  3. Optimal freeware quality in the presence of network externalities: an evolutionary game theoretical approach

    OpenAIRE

    Ernan Haruvy; Ashutosh Prasad

    2001-01-01

    New software products often face difficulty in achieving market penetration. A potential remedy is to offer a freeware version of the software to encourage initial adoption and establish a larger user base for the software, thereby increasing the commercial version's value to adopters in future periods. However, to avoid complete cannibalization of the commercial version, the freeware version's quality must be sufficiently low and the price of the commercial version must not be too high. We m...

  4. Hybrid Power Forecasting Model for Photovoltaic Plants Based on Neural Network with Air Quality Index

    OpenAIRE

    Idris Khan; Honglu Zhu; Jianxi Yao; Danish Khan; Tahir Iqbal

    2017-01-01

    High concentration of greenhouse gases in the atmosphere has increased dependency on photovoltaic (PV) power, but its random nature poses a challenge for system operators to precisely predict and forecast PV power. The conventional forecasting methods were accurate for clean weather. But when the PV plants worked under heavy haze, the radiation is negatively impacted and thus reducing PV power; therefore, to deal with haze weather, Air Quality Index (AQI) is introduced as a parameter to predi...

  5. Self-organized neural network for the quality control of 12-lead ECG signals.

    Science.gov (United States)

    Chen, Yun; Yang, Hui

    2012-09-01

    Telemedicine is very important for the timely delivery of health care to cardiovascular patients, especially those who live in the rural areas of developing countries. However, there are a number of uncertainty factors inherent to the mobile-phone-based recording of electrocardiogram (ECG) signals such as personnel with minimal training and other extraneous noises. PhysioNet organized a challenge in 2011 to develop efficient algorithms that can assess the ECG signal quality in telemedicine settings. This paper presents our efforts in this challenge to integrate multiscale recurrence analysis with a self-organizing map for controlling the ECG signal quality. As opposed to directly evaluating the 12-lead ECG, we utilize an information-preserving transform, i.e. Dower transform, to derive the 3-lead vectorcardiogram (VCG) from the 12-lead ECG in the first place. Secondly, we delineate the nonlinear and nonstationary characteristics underlying the 3-lead VCG signals into multiple time-frequency scales. Furthermore, a self-organizing map is trained, in both supervised and unsupervised ways, to identify the correlations between signal quality and multiscale recurrence features. The efficacy and robustness of this approach are validated using real-world ECG recordings available from PhysioNet. The average performance was demonstrated to be 95.25% for the training dataset and 90.0% for the independent test dataset with unknown labels.

  6. On using Multiple Quality Link Metrics with Destination Sequenced Distance Vector Protocol for Wireless Multi-Hop Networks

    CERN Document Server

    Javaid, N; Khan, Z A; Djouani, K

    2012-01-01

    In this paper, we compare and analyze performance of five quality link metrics forWireless Multi-hop Networks (WMhNs). The metrics are based on loss probability measurements; ETX, ETT, InvETX, ML and MD, in a distance vector routing protocol; DSDV. Among these selected metrics, we have implemented ML, MD, InvETX and ETT in DSDV which are previously implemented with different protocols; ML, MD, InvETX are implemented with OLSR, while ETT is implemented in MR-LQSR. For our comparison, we have selected Throughput, Normalized Routing Load (NRL) and End-to-End Delay (E2ED) as performance parameters. Finally, we deduce that InvETX due to low computational burden and link asymmetry measurement outperforms among all metrics.

  7. Exploring the use of grounded theory as a methodological approach to examine the 'black box' of network leadership in the national quality forum.

    Science.gov (United States)

    Hoflund, A Bryce

    2013-01-01

    This paper describes how grounded theory was used to investigate the "black box" of network leadership in the creation of the National Quality Forum. Scholars are beginning to recognize the importance of network organizations and are in the embryonic stages of collecting and analyzing data about network leadership processes. Grounded theory, with its focus on deriving theory from empirical data, offers researchers a distinctive way of studying little-known phenomena and is therefore well suited to exploring network leadership processes. Specifically, this paper provides an overview of grounded theory, a discussion of the appropriateness of grounded theory to investigating network phenomena, a description of how the research was conducted, and a discussion of the limitations and lessons learned from using this approach.

  8. [Regional Dementia Care Networks in Germany--results from the DemNet-D-Study regarding the quality of life of their users].

    Science.gov (United States)

    Gräske, Johannes; Meyer, Saskia; Schmidt, Annika; Schmidt, Sylvia; Laporte Uribe, Franziska; Thyrian, Jochen René; Schäfer-Walkmann, Susanne; Wolf-Ostermann, Karin

    2016-01-01

    Regional dementia care networks become more and more important in the care for community-dwelling persons with dementia (PwD). However, the quality of life of PwD, served by dementia care networks, has not been investigated yet. It also remains unclear if there are differences between urban and rural dementia care networks. This study therefore aims at investigating the quality of life of PwD using this care model, also regarding possible regional differences. Within the DemNet-D-Study, PwD and their primary caregivers were interviewed using typical outcome parameters (quality of life: QoL-AD, depression: GDS, challenging behaviour: CMAI, capacities of daily living: IADL, caregiver burden: BIZA-D). In addition to these parameters, regional differences were analysed using multi-level-analysis. In total, 560 PwD (79.7 years; 57.0 % female) and their caregivers participated in the study. Both self- and proxy-rated quality of life is on a moderate level. The analysis shows a sufficient explanation of the quality of life. (self: p<0.001, R2=0.493; proxy: p<0.001, R2=0.406). Higher quality of life was found for PwD living together with their care givers and for those PwD with higher capacities of daily living. Regional (urban vs. rural) differences could not be found. The quality of life of community-dwelling PwD using regional dementia care networks is comparable to those in other studies of outpatient dementia care. Further investigation should be carried out regarding different types of dementia care networks.

  9. Real-Time Emulation of Heterogeneous Wireless Networks with End-to-Edge Quality of Service Guarantees: The AROMA Testbed

    Directory of Open Access Journals (Sweden)

    Anna Umbert

    2010-01-01

    Full Text Available This work presents and describes the real-time testbed for all-IP Beyond 3G (B3G heterogeneous wireless networks that has been developed in the framework of the European IST AROMA project. The main objective of the AROMA testbed is to provide a highly accurate and realistic framework where the performance of algorithms, policies, protocols, services, and applications for a complete heterogeneous wireless network can be fully assessed and evaluated before bringing them to a real system. The complexity of the interaction between all-IP B3G systems and user applications, while dealing with the Quality of Service (QoS concept, motivates the development of this kind of emulation platform where different solutions can be tested in realistic conditions that could not be achieved by means of simple offline simulations. This work provides an in-depth description of the AROMA testbed, emphasizing many interesting implementation details and lessons learned during the development of the tool that may result helpful to other researchers and system engineers in the development of similar emulation platforms. Several case studies are also presented in order to illustrate the full potential and capabilities of the presented emulation platform.

  10. The design, implementation, and operational management of a comprehensive quality management program to support national telehealth networks.

    Science.gov (United States)

    Darkins, Adam; Foster, Linda; Anderson, Carla; Goldschmidt, Leonard; Selvin, Gerald

    2013-07-01

    The Veterans Health Administration (VHA) is a large integrated healthcare system with a mission to care for over 5.6 million Veteran patients annually. VHA, like other healthcare organizations, is challenged with providing access to care to those it serves when they live at a distance from a physical site of care. VHA has embraced telehealth as a way of delivering care at a distance and increase access to specialty care services. Since 2003 VHA has developed large national telehealth networks that provided care to 497,342 patients in fiscal year 2012, who received 1,429,424 episodes of care, and is recognized as a national leader in this field. To ensure the safety and effectiveness of its telehealth networks in their delivery of care VHA has implemented a dedicated quality management (QM) program for telehealth. QM data for telehealth are reviewed at 3-month intervals, and the procedures and processes in place to support telehealth in VHA are assessed biannually in an internal accreditation process called "Telehealth Conditions of Participation." This collegial, nonadversarial process has ensured that all designated telehealth programs meet minimal standards and disseminate best practice. As a result of VHA's QM program, telehealth services in VHA meet consistently high clinical outcomes and have received no adverse Joint Commission citations. The Joint Commission regularly assesses patients managed via telehealth under its tracer methodology reviews.

  11. Quality-Of-Service Provisioning in Decentralized Networks: A Satisfaction Equilibrium Approach

    CERN Document Server

    Perlaza, Samir M; Lasaulce, Samson; Debbah, Mérouane

    2011-01-01

    This paper introduces a particular game formulation and its corresponding notion of equilibrium, namely the satisfaction form (SF) and the satisfaction equilibrium (SE). A game in SF models the case where players are uniquely interested in the satisfaction of some individual performance constraints, instead of individual performance optimization. Under this formulation, the notion of equilibrium corresponds to the situation where all players can simultaneously satisfy their individual constraints. The notion of SE, models the problem of QoS provisioning in decentralized self-configuring networks. Here, radio devices are satisfied if they are able to provide the requested QoS. Within this framework, the concept of SE is formalized for both pure and mixed strategies considering finite sets of players and actions. In both cases, sufficient conditions for the existence and uniqueness of the SE are presented. When multiple SE exist, we introduce the idea of effort or cost of satisfaction and we propose a refinemen...

  12. Dosimetric evaluation of Radiotherapy units wit {sup 60}Co; Evaluacion dosimetrica de unidades de radioterapia con {sup 60}Co

    Energy Technology Data Exchange (ETDEWEB)

    Leon, B. Salinas de; Tovar M, V.; Becerril V, A. [Instituto Nacional de Investigaciones Nucleares, A.P. 18-1027, 11801 Mexico D.F. (Mexico)

    2000-07-01

    The SSDL network of the IAEA performs, every year, quality audit tests for radiotherapy services ({sup 60} Co units and linear accelerators), and for national SSDL as well. Because of the SSDL-Mexico results in these tests and due to our enthusiasm and confidence in our work, a parallel test has been done , which is described in this talk as well as the results. Nowadays, a second parallel test goes up, which could confirm our optimism and open the possibility to our country to start a national dosimetric audit of {sup 60} Co radiotherapy units. (Author)

  13. A Modified Hopfield Neural Network Algorithm (MHNNA Using ALOS Image for Water Quality Mapping

    Directory of Open Access Journals (Sweden)

    Ahmed Asal Kzar

    2015-12-01

    Full Text Available Decreasing water pollution is a big problem in coastal waters. Coastal health of ecosystems can be affected by high concentrations of suspended sediment. In this work, a Modified Hopfield Neural Network Algorithm (MHNNA was used with remote sensing imagery to classify the total suspended solids (TSS concentrations in the waters of coastal Langkawi Island, Malaysia. The adopted remote sensing image is the Advanced Land Observation Satellite (ALOS image acquired on 18 January 2010. Our modification allows the Hopfield neural network to convert and classify color satellite images. The samples were collected from the study area simultaneously with the acquiring of satellite imagery. The sample locations were determined using a handheld global positioning system (GPS. The TSS concentration measurements were conducted in a lab and used for validation (real data, classification, and accuracy assessments. Mapping was achieved by using the MHNNA to classify the concentrations according to their reflectance values in band 1, band 2, and band 3. The TSS map was color-coded for visual interpretation. The efficiency of the proposed algorithm was investigated by dividing the validation data into two groups. The first group was used as source samples for supervisor classification via the MHNNA. The second group was used to test the MHNNA efficiency. After mapping, the locations of the second group in the produced classes were detected. Next, the correlation coefficient (R and root mean square error (RMSE were calculated between the two groups, according to their corresponding locations in the classes. The MHNNA exhibited a higher R (0.977 and lower RMSE (2.887. In addition, we test the MHNNA with noise, where it proves its accuracy with noisy images over a range of noise levels. All results have been compared with a minimum distance classifier (Min-Dis. Therefore, TSS mapping of polluted water in the coastal Langkawi Island, Malaysia can be performed using the

  14. A Modified Hopfield Neural Network Algorithm (MHNNA) Using ALOS Image for Water Quality Mapping.

    Science.gov (United States)

    Kzar, Ahmed Asal; Mat Jafri, Mohd Zubir; Mutter, Kussay N; Syahreza, Saumi

    2015-12-30

    Decreasing water pollution is a big problem in coastal waters. Coastal health of ecosystems can be affected by high concentrations of suspended sediment. In this work, a Modified Hopfield Neural Network Algorithm (MHNNA) was used with remote sensing imagery to classify the total suspended solids (TSS) concentrations in the waters of coastal Langkawi Island, Malaysia. The adopted remote sensing image is the Advanced Land Observation Satellite (ALOS) image acquired on 18 January 2010. Our modification allows the Hopfield neural network to convert and classify color satellite images. The samples were collected from the study area simultaneously with the acquiring of satellite imagery. The sample locations were determined using a handheld global positioning system (GPS). The TSS concentration measurements were conducted in a lab and used for validation (real data), classification, and accuracy assessments. Mapping was achieved by using the MHNNA to classify the concentrations according to their reflectance values in band 1, band 2, and band 3. The TSS map was color-coded for visual interpretation. The efficiency of the proposed algorithm was investigated by dividing the validation data into two groups. The first group was used as source samples for supervisor classification via the MHNNA. The second group was used to test the MHNNA efficiency. After mapping, the locations of the second group in the produced classes were detected. Next, the correlation coefficient (R) and root mean square error (RMSE) were calculated between the two groups, according to their corresponding locations in the classes. The MHNNA exhibited a higher R (0.977) and lower RMSE (2.887). In addition, we test the MHNNA with noise, where it proves its accuracy with noisy images over a