Non-intrusive Quality Analysis of Monitoring Data

CERN Document Server

Brightwell, M; Suwalska, Anna

2010-01-01

Any large-scale operational system running over a variety of devices requires a monitoring mechanism to assess the health of the overall system. The Technical Infrastructure Monitoring System (TIM) at CERN is one such system, and monitors a wide variety of devices and their properties, such as electricity supplies, device temperatures, liquid flows etc. Without adequate quality assurance, the data collected from such devices leads to false-positives and false-negatives, reducing the effectiveness of the monitoring system. The quality must, however, be measured in a non-intrusive way, so that the critical path of the data flow is not affected by the quality computation. The quality computation should also scale to large volumes of incoming data. To address these challenges, we develop a new statistical module, which monitors the data collected by TIM and reports its quality to the operators. The statistical module uses Oracle RDBMS as the underlying store, and builds hierarchical summaries on the basic events ...

Self-organizing maps of Kohonen (SOM) applied to multidimensional monitoring data of the IEA-R1 nuclear research reactor

International Nuclear Information System (INIS)

Affonso, Gustavo S.; Pereira, Iraci M.; Mesquita, Roberto N. de; Bueno, Elaine I.

2011-01-01

Multivariate statistics comprise a set of statistical methods used in situations where many variables are database space subsets. Initially applied to human, social and biological sciences, these methods are being applied to many other areas such as education, geology, chemistry, physics, engineering, and many others. This spectra expansion was possible due to recent technological development of computation hardware and software that allows high and complex databases to be treated iteratively enabling further analysis. Following this trend, the neural networks called Self-Organizing Maps are turning into a powerful tool on visualization of implicit and unknown correlations in big sized database sets. Originally created by Kohonen in 1981, it was applied to speech recognition tasks. The SOM is being used as a comparative parameter to evaluate the performance of new multidimensional analysis methodologies. Most of methods require good variable input selection criteria and SOM has contributed to clustering, classification and prediction of multidimensional engineering process variables. This work proposes a method of applying SOM to a set of 58 IEA-R1 operational variables at IPEN research reactor which are monitored by a Data Acquisition System (DAS). This data set includes variables as temperature, flow mass rate, coolant level, nuclear radiation, nuclear power and control bars position. DAS enables the creation and storage of historical data which are used to contribute to Failure Detection and Monitoring System development. Results show good agreement with previous studies using other methods as GMDH and other predictive methods. (author)

Self-organizing maps of Kohonen (SOM) applied to multidimensional monitoring data of the IEA-R1 nuclear research reactor

Energy Technology Data Exchange (ETDEWEB)

Affonso, Gustavo S.; Pereira, Iraci M.; Mesquita, Roberto N. de, E-mail: rnavarro@ipen.b [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil); Bueno, Elaine I., E-mail: ebueno@ifsp.gov.b [Instituto Federal de Educacao, Ciencia e Tecnologia de Sao Paulo (IFSP), SP (Brazil)

2011-07-01

Multivariate statistics comprise a set of statistical methods used in situations where many variables are database space subsets. Initially applied to human, social and biological sciences, these methods are being applied to many other areas such as education, geology, chemistry, physics, engineering, and many others. This spectra expansion was possible due to recent technological development of computation hardware and software that allows high and complex databases to be treated iteratively enabling further analysis. Following this trend, the neural networks called Self-Organizing Maps are turning into a powerful tool on visualization of implicit and unknown correlations in big sized database sets. Originally created by Kohonen in 1981, it was applied to speech recognition tasks. The SOM is being used as a comparative parameter to evaluate the performance of new multidimensional analysis methodologies. Most of methods require good variable input selection criteria and SOM has contributed to clustering, classification and prediction of multidimensional engineering process variables. This work proposes a method of applying SOM to a set of 58 IEA-R1 operational variables at IPEN research reactor which are monitored by a Data Acquisition System (DAS). This data set includes variables as temperature, flow mass rate, coolant level, nuclear radiation, nuclear power and control bars position. DAS enables the creation and storage of historical data which are used to contribute to Failure Detection and Monitoring System development. Results show good agreement with previous studies using other methods as GMDH and other predictive methods. (author)

Executive Information Systems' Multidimensional Models

Directory of Open Access Journals (Sweden)

2007-01-01

Full Text Available Executive Information Systems are design to improve the quality of strategic level of management in organization through a new type of technology and several techniques for extracting, transforming, processing, integrating and presenting data in such a way that the organizational knowledge filters can easily associate with this data and turn it into information for the organization. These technologies are known as Business Intelligence Tools. But in order to build analytic reports for Executive Information Systems (EIS in an organization we need to design a multidimensional model based on the business model from the organization. This paper presents some multidimensional models that can be used in EIS development and propose a new model that is suitable for strategic business requests.

Wireless Sensor Network for Indoor Air Quality Monitoring

Directory of Open Access Journals (Sweden)

Jun Li

2014-06-01

Full Text Available Indoor air quality monitoring system consists of wireless sensor device, nRF24L01 wireless transceiver modules, C8051MCU, STM32103 remote monitoring platform, alarm device and data server. Distributed in the interior space of wireless sensors measure parameters of the local air quality, wireless transceiver module of the MCU to transmit data to the remote monitoring platform for analysis which displayed and stored field environment data or charts. The data collecting from wireless sensors to be send by wireless Access Point to the remote data server based on B/S architecture, intelligent terminals such as mobile phone, laptop, tablet PC on the Internet monitor indoor air quality in real-time. When site environment air quality index data exceeds the threshold in the monitoring device, the remote monitoring platform sends out the alarm SMS signal to inform user by GSM module. Indoor air quality monitoring system uses modular design method, has the portability and scalability has the low manufacture cost, real-time monitoring data and man-machine interaction.

Autonomous nutrient detection for water quality monitoring

OpenAIRE

Maher, Damien; Cleary, John; Cogan, Deirdre; Diamond, Dermot

2012-01-01

The ever increasing demand for real time environmental monitoring is currently being driven by strong legislative and societal drivers. Low cost autonomous environmental monitoring systems are required to meet this demand as current monitoring solutions are insufficient. This poster presents an autonomous nutrient analyser platform for water quality monitoring. Results from a field trial of the nutrient analyser are reported along with current work to expand the range of water quality targ...

Multidimensional Measurement of Household Water Poverty in a Mumbai Slum: Looking Beyond Water Quality.

Science.gov (United States)

Subbaraman, Ramnath; Nolan, Laura; Sawant, Kiran; Shitole, Shrutika; Shitole, Tejal; Nanarkar, Mahesh; Patil-Deshmukh, Anita; Bloom, David E

2015-01-01

A focus on bacterial contamination has limited many studies of water service delivery in slums, with diarrheal illness being the presumed outcome of interest. We conducted a mixed methods study in a slum of 12,000 people in Mumbai, India to measure deficiencies in a broader array of water service delivery indicators and their adverse life impacts on the slum's residents. Six focus group discussions and 40 individual qualitative interviews were conducted using purposeful sampling. Quantitative data on water indicators-quantity, access, price, reliability, and equity-were collected via a structured survey of 521 households selected using population-based random sampling. In addition to negatively affecting health, the qualitative findings reveal that water service delivery failures have a constellation of other adverse life impacts-on household economy, employment, education, quality of life, social cohesion, and people's sense of political inclusion. In a multivariate logistic regression analysis, price of water is the factor most strongly associated with use of inadequate water quantity (≤20 liters per capita per day). Water service delivery failures and their adverse impacts vary based on whether households fetch water or have informal water vendors deliver it to their homes. Deficiencies in water service delivery are associated with many non-health-related adverse impacts on slum households. Failure to evaluate non-health outcomes may underestimate the deprivation resulting from inadequate water service delivery. Based on these findings, we outline a multidimensional definition of household "water poverty" that encourages policymakers and researchers to look beyond evaluation of water quality and health. Use of multidimensional water metrics by governments, slum communities, and researchers may help to ensure that water supplies are designed to advance a broad array of health, economic, and social outcomes for the urban poor.

Multidimensional Measurement of Household Water Poverty in a Mumbai Slum: Looking Beyond Water Quality.

Directory of Open Access Journals (Sweden)

Ramnath Subbaraman

Full Text Available A focus on bacterial contamination has limited many studies of water service delivery in slums, with diarrheal illness being the presumed outcome of interest. We conducted a mixed methods study in a slum of 12,000 people in Mumbai, India to measure deficiencies in a broader array of water service delivery indicators and their adverse life impacts on the slum's residents.Six focus group discussions and 40 individual qualitative interviews were conducted using purposeful sampling. Quantitative data on water indicators-quantity, access, price, reliability, and equity-were collected via a structured survey of 521 households selected using population-based random sampling.In addition to negatively affecting health, the qualitative findings reveal that water service delivery failures have a constellation of other adverse life impacts-on household economy, employment, education, quality of life, social cohesion, and people's sense of political inclusion. In a multivariate logistic regression analysis, price of water is the factor most strongly associated with use of inadequate water quantity (≤20 liters per capita per day. Water service delivery failures and their adverse impacts vary based on whether households fetch water or have informal water vendors deliver it to their homes.Deficiencies in water service delivery are associated with many non-health-related adverse impacts on slum households. Failure to evaluate non-health outcomes may underestimate the deprivation resulting from inadequate water service delivery. Based on these findings, we outline a multidimensional definition of household "water poverty" that encourages policymakers and researchers to look beyond evaluation of water quality and health. Use of multidimensional water metrics by governments, slum communities, and researchers may help to ensure that water supplies are designed to advance a broad array of health, economic, and social outcomes for the urban poor.

Chemical shift-dependent apparent scalar couplings: An alternative concept of chemical shift monitoring in multi-dimensional NMR experiments

International Nuclear Information System (INIS)

Kwiatkowski, Witek; Riek, Roland

2003-01-01

The paper presents an alternative technique for chemical shift monitoring in a multi-dimensional NMR experiment. The monitored chemical shift is coded in the line-shape of a cross-peak through an apparent residual scalar coupling active during an established evolution period or acquisition. The size of the apparent scalar coupling is manipulated with an off-resonance radio-frequency pulse in order to correlate the size of the coupling with the position of the additional chemical shift. The strength of this concept is that chemical shift information is added without an additional evolution period and accompanying polarization transfer periods. This concept was incorporated into the three-dimensional triple-resonance experiment HNCA, adding the information of 1 H α chemical shifts. The experiment is called HNCA coded HA, since the chemical shift of 1 H α is coded in the line-shape of the cross-peak along the 13 C α dimension

Automated monitoring of recovered water quality

Science.gov (United States)

Misselhorn, J. E.; Hartung, W. H.; Witz, S. W.

1974-01-01

Laboratory prototype water quality monitoring system provides automatic system for online monitoring of chemical, physical, and bacteriological properties of recovered water and for signaling malfunction in water recovery system. Monitor incorporates whenever possible commercially available sensors suitably modified.

Assessment of health surveys: fitting a multidimensional graded response model.

Science.gov (United States)

Depaoli, Sarah; Tiemensma, Jitske; Felt, John M

The multidimensional graded response model, an item response theory (IRT) model, can be used to improve the assessment of surveys, even when sample sizes are restricted. Typically, health-based survey development utilizes classical statistical techniques (e.g. reliability and factor analysis). In a review of four prominent journals within the field of Health Psychology, we found that IRT-based models were used in less than 10% of the studies examining scale development or assessment. However, implementing IRT-based methods can provide more details about individual survey items, which is useful when determining the final item content of surveys. An example using a quality of life survey for Cushing's syndrome (CushingQoL) highlights the main components for implementing the multidimensional graded response model. Patients with Cushing's syndrome (n = 397) completed the CushingQoL. Results from the multidimensional graded response model supported a 2-subscale scoring process for the survey. All items were deemed as worthy contributors to the survey. The graded response model can accommodate unidimensional or multidimensional scales, be used with relatively lower sample sizes, and is implemented in free software (example code provided in online Appendix). Use of this model can help to improve the quality of health-based scales being developed within the Health Sciences.

Quality assurance and quality control for Hydro-Quebec's ambient air monitoring networks

International Nuclear Information System (INIS)

Lambert, M.; Varfalvy, L.

1993-01-01

Hydro Quebec has three ambient air monitoring networks to determine the contribution of some of its thermal plants to ambient air quality. They are located in Becancour (gas turbines), Iles-de-la-Madeleine (diesel), and Tracy (conventional oil-fired). To ensure good quality results and consistency between networks, a quality assurance/quality control program was set up. A description is presented of the ambient air quality monitoring network and the quality assurance/quality control program. A guide has been created for use by the network operators, discussing objectives of the individual network, a complete description of each network, field operation for each model of instrument in use, treatment of data for each data logger in use, global considerations regarding quality assurance and control, and reports. A brief overview is presented of the guide's purpose and contents, focusing on the field operation section and the sulfur dioxide and nitrogen oxide monitors. 6 figs., 1 tab

Improving and monitoring air quality.

Science.gov (United States)

DuPont, André

2018-05-01

Since the authorization of the Clean Air Act Amendments of 1990, the air quality in the USA has significantly improved because of strong public support. The lessons learned over the last 25 years are being shared with the policy analysts, technical professionals, and scientist who endeavor to improve air quality in their communities. This paper will review how the USA has achieved the "high" standard of air quality that was envisioned in the early 1990s. This document will describe SO 2 gas emission reduction technology and highlight operation of emission monitoring technology. This paper describes the basic process operation of an air pollution control scrubber. A technical review of measures required to operate and maintain a large-scale pollution control system will be described. Also, the author explains how quality assurance procedures in performance of continuous emission monitoring plays a significant role in reducing air pollution.

Portable water quality monitoring system

Science.gov (United States)

Nizar, N. B.; Ong, N. R.; Aziz, M. H. A.; Alcain, J. B.; Haimi, W. M. W. N.; Sauli, Z.

2017-09-01

Portable water quality monitoring system was a developed system that tested varied samples of water by using different sensors and provided the specific readings to the user via short message service (SMS) based on the conditions of the water itself. In this water quality monitoring system, the processing part was based on a microcontroller instead of Lead and Copper Rule (LCR) machines to receive the results. By using four main sensors, this system obtained the readings based on the detection of the sensors, respectively. Therefore, users can receive the readings through SMS because there was a connection between Arduino Uno and GSM Module. This system was designed to be portable so that it would be convenient for users to carry it anywhere and everywhere they wanted to since the processor used is smaller in size compared to the LCR machines. It was also developed to ease the user to monitor and control the water quality. However, the ranges of the sensors' detection still a limitation in this study.

No Reference Video-Quality-Assessment Model for Monitoring Video Quality of IPTV Services

Science.gov (United States)

Yamagishi, Kazuhisa; Okamoto, Jun; Hayashi, Takanori; Takahashi, Akira

Service providers should monitor the quality of experience of a communication service in real time to confirm its status. To do this, we previously proposed a packet-layer model that can be used for monitoring the average video quality of typical Internet protocol television content using parameters derived from transmitted packet headers. However, it is difficult to monitor the video quality per user using the average video quality because video quality depends on the video content. To accurately monitor the video quality per user, a model that can be used for estimating the video quality per video content rather than the average video quality should be developed. Therefore, to take into account the impact of video content on video quality, we propose a model that calculates the difference in video quality between the video quality of the estimation-target video and the average video quality estimated using a packet-layer model. We first conducted extensive subjective quality assessments for different codecs and video sequences. We then model their characteristics based on parameters related to compression and packet loss. Finally, we verify the performance of the proposed model by applying it to unknown data sets different from the training data sets used for developing the model.

A Two-Year Water Quality Monitoring Curriculum.

Science.gov (United States)

Glazer, Richard B.; And Others

The Environmental Protection Agency developed this curriculum to train technicians to monitor water quality. Graduates of the program should be able to monitor municipal, industrial, and commercial discharges; test drinking water for purity; and determine quality of aquatic environments. The program includes algebra, communication skills, biology,…

Design and implementation air quality monitoring robot

Science.gov (United States)

Chen, Yuanhua; Li, Jie; Qi, Chunxue

2017-01-01

Robot applied in environmental protection can break through the limitations in working environment, scope and mode of the existing environmental monitoring and pollution abatement equipments, which undertake the innovation and improvement in the basin, atmosphere, emergency and pollution treatment facilities. Actually, the relevant technology is backward with limited research and investment. Though the device companies have achieved some results in the study on the water quality monitoring, pipeline monitoring and sewage disposal, this technological progress on the whole is still much slow, and the mature product has not been formed. As a result, the market urges a demand of a new type of device which is more suitable for environmental protection on the basis of robot successfully applied in other fields. This paper designs and realizes a tracked mobile robot of air quality monitoring, which can be used to monitor air quality for the pollution accident in industrial parks and regular management.

Development and application of multidimensional model for the quality evaluation of graduate-level education in program of the IPEN

International Nuclear Information System (INIS)

Mioranza, Claudio

2009-01-01

Educational institutions have been highly concerned about the quality of products offered to the society, in order to obtain better results they need to provide a high degree quality service. The exclusive approach of this study was the development of a Multidimensional Model for the Educational Quality Assessment, named MULTQUALED. The model was based on quality standards and models used in other economic sectors where were created four data collection instruments, comprehending dimensions such as pedagogical, human resources and facilities regarding qualified and quantified actions for the continuous improvement of educational quality management process. The study was applied to the Nuclear Technology Stricto Sensu Graduate Program from the Instituto de Pesquisas Energeticas e Nucleares from Sao Paulo (IPEN-CNEN/SP). The information obtained from the application of MULTQUALED evidenced fragilities and positive aspects that support the decision process with strategic actions contributing with the continuous improvement of the program education quality. (author)

Progress and lessons learned from water-quality monitoring networks

Science.gov (United States)

Myers, Donna N.; Ludtke, Amy S.

2017-01-01

Stream-quality monitoring networks in the United States were initiated and expanded after passage of successive federal water-pollution control laws from 1948 to 1972. The first networks addressed information gaps on the extent and severity of stream pollution and served as early warning systems for spills. From 1965 to 1972, monitoring networks expanded to evaluate compliance with stream standards, track emerging issues, and assess water-quality status and trends. After 1972, concerns arose regarding the ability of monitoring networks to determine if water quality was getting better or worse and why. As a result, monitoring networks adopted a hydrologic systems approach targeted to key water-quality issues, accounted for human and natural factors affecting water quality, innovated new statistical methods, and introduced geographic information systems and models that predict water quality at unmeasured locations. Despite improvements, national-scale monitoring networks have declined over time. Only about 1%, or 217, of more than 36,000 US Geological Survey monitoring sites sampled from 1975 to 2014 have been operated throughout the four decades since passage of the 1972 Clean Water Act. Efforts to sustain monitoring networks are important because these networks have collected information crucial to the description of water-quality trends over time and are providing information against which to evaluate future trends.

Health Demands Characteristics and Quality of Life in the Elderly Monitored in the Primary Care

Directory of Open Access Journals (Sweden)

Jéssica Maria Arouca de Miranda

2017-02-01

Full Text Available Background: To characterize the demands of health and quality of elderly peoplemonitored in the primary care of Rio Grande do Norte/Brazil. Methods and Findings: This is a descriptive, cross-sectional study of a quantitative approach with elderly patients monitored by the primary care. The sample was given for convenience, obtaining 120 participants. The research was conducted through an interview with theapplication of the following questionnaires: Mini Mental State Examination, Socio-demographic Data and Pain Characteristics, Short-Form-36, Mini Nutritional Assessment, the primary activities of daily living, the instrumental activities of daily living, Prism 7 and the Geriatric Depression Scale. Data analysis was performed using the SPSS statistical program, in which descriptive and association tests were used.The main demands were related to functionality, followed by nutritional and geriatric depression. The quality of life presented worse results in the domain of general health status and better scores in the emotional and mental health aspects. Regarding the dimensions, the physical health obtained aworse score. Conclusion: Based on the characterization of the health demands found, it is suggested to perform other studies with the same population, enabling to plan and implementing a multidimensional intervention and improving the quality of life of the elderly people. Keywords: Elderly; Quality of Life; Aging; Elderly Health; Nursing.

Employee quality, monitoring environment and internal control

Directory of Open Access Journals (Sweden)

Chunli Liu

2017-03-01

Full Text Available We investigate the effect of internal control employees (ICEs on internal control quality. Using special survey data from Chinese listed firms, we find that ICE quality has a significant positive influence on internal control quality. We examine the effect of monitoring on this result and find that the effect is more pronounced for firms with strict monitoring environments, especially when the firms implement the Chinese internal control regulation system (CSOX, have higher institutional ownership or attach greater importance to internal control. Our findings suggest that ICEs play an important role in the design and implementation of internal control systems. Our study should be of interest to both top managers who wish to improve corporate internal control quality and regulators who wish to understand the mechanisms of internal control monitoring.

Employee quality, monitoring environment and internal control

OpenAIRE

Chunli Liu; Bin Lin; Wei Shu

2017-01-01

We investigate the effect of internal control employees (ICEs) on internal control quality. Using special survey data from Chinese listed firms, we find that ICE quality has a significant positive influence on internal control quality. We examine the effect of monitoring on this result and find that the effect is more pronounced for firms with strict monitoring environments, especially when the firms implement the Chinese internal control regulation system (CSOX), have higher institutional ow...

Multi-dimensional Fuzzy Euler Approximation

Directory of Open Access Journals (Sweden)

Yangyang Hao

2017-05-01

Full Text Available Multi-dimensional Fuzzy differential equations driven by multi-dimen-sional Liu process, have been intensively applied in many fields. However, we can not obtain the analytic solution of every multi-dimensional fuzzy differential equation. Then, it is necessary for us to discuss the numerical results in most situations. This paper focuses on the numerical method of multi-dimensional fuzzy differential equations. The multi-dimensional fuzzy Taylor expansion is given, based on this expansion, a numerical method which is designed for giving the solution of multi-dimensional fuzzy differential equation via multi-dimensional Euler method will be presented, and its local convergence also will be discussed.

Advanced monitoring of wastewater quality: data collection and data quality assurance

DEFF Research Database (Denmark)

Alferes, Janelcy; Lamaire-Chad, C.; Chhetri, Ravi Kumar

and in evaluating the impact of discharges on the receiving water bodies. As measurements are carried out under arduous conditions, practical implementation of such monitoring systems entails several challenges, and automation of data collection and data quality assessment has been recognised as a critical issue....... In this paper, a data quality assessment strategy is presented to achieve efficient water quality monitoring in real-world scenarios. Next to practical aspects concerning installation and maintenance of sensors, the paper also presents a software tool aimed at assessing the quality of the data being collected....... In this paper, results showed the successful implementation of the proposed strategy for collection of water quality data at the inlet of a wastewater treatment plant....

Using business intelligence to monitor clinical quality metrics.

Science.gov (United States)

Resetar, Ervina; Noirot, Laura A; Reichley, Richard M; Storey, Patricia; Skiles, Ann M; Traynor, Patrick; Dunagan, W Claiborne; Bailey, Thomas C

2007-10-11

BJC HealthCare (BJC) uses a number of industry standard indicators to monitor the quality of services provided by each of its hospitals. By establishing an enterprise data warehouse as a central repository of clinical quality information, BJC is able to monitor clinical quality performance in a timely manner and improve clinical outcomes.

Air Quality Monitoring Programme

DEFF Research Database (Denmark)

Kemp, K.; Palmgren, F.

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality (LMP) network. The aim has been to follow the concentration levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the trends, to perform source...... apportionment, and to evaluate the chemical reactions and the dispersion of the pollutants in the atmosphere. In 2002 the air quality was measured in four Danish cities and at two background sites. NO2 and PM10 were at several stations found in concentrations above the new EU limit values, which the Member...

Multi-dimensional SAR tomography for monitoring the deformation of newly built concrete buildings

Science.gov (United States)

Ma, Peifeng; Lin, Hui; Lan, Hengxing; Chen, Fulong

2015-08-01

Deformation often occurs in buildings at early ages, and the constant inspection of deformation is of significant importance to discover possible cracking and avoid wall failure. This paper exploits the multi-dimensional SAR tomography technique to monitor the deformation performances of two newly built buildings (B1 and B2) with a special focus on the effects of concrete creep and shrinkage. To separate the nonlinear thermal expansion from total deformations, the extended 4-D SAR technique is exploited. The thermal map estimated from 44 TerraSAR-X images demonstrates that the derived thermal amplitude is highly related to the building height due to the upward accumulative effect of thermal expansion. The linear deformation velocity map reveals that B1 is subject to settlement during the construction period, in addition, the creep and shrinkage of B1 lead to wall shortening that is a height-dependent movement in the downward direction, and the asymmetrical creep of B2 triggers wall deflection that is a height-dependent movement in the deflection direction. It is also validated that the extended 4-D SAR can rectify the bias of estimated wall shortening and wall deflection by 4-D SAR.

Quality and Safety of Home ICP Monitoring Compared with In-Hospital Monitoring

DEFF Research Database (Denmark)

Andresen, Morten; Juhler, Marianne; Munch, Tina Nørgaard

2012-01-01

Introduction: Intracranial pressure (ICP) monitoring is usually conducted in-hospital using stationary devices. Modern mobile ICP monitoring systems present new monitoring possibilities more closely following the patients' daily life. We reviewed patient safety, quality of technical data...

The ALICE data quality monitoring

International Nuclear Information System (INIS)

Haller, B von; Roukoutakis, F; Chapeland, S; Carena, F; Carena, W; Barroso, V Chibante; Costa, F; Divia, R; Fuchs, U; Makhlyueva, I; Schossmaier, K; Soos, C; Vyvre, P Vande; Altini, V

2010-01-01

ALICE is one of the four experiments installed at the CERN Large Hadron Collider (LHC), especially designed for the study of heavy-ion collisions. The online Data Quality Monitoring (DQM) is an important part of the data acquisition (DAQ) software. It involves the online gathering, the analysis by user-defined algorithms and the visualization of monitored data. This paper presents the final design, as well as the latest and coming features, of the ALICE's specific DQM software called AMORE (Automatic MonitoRing Environment). It describes the challenges we faced during its implementation, including the performances issues, and how we tested and handled them, in particular by using a scalable and robust publish-subscribe architecture.We also review the on-going and increasing adoption of this tool amongst the ALICE collaboration and the measures taken to develop, in synergy with their respective teams, efficient monitoring modules for the sub-detectors. The related packaging and release procedure needed by such a distributed framework is also described. We finally overview the wide range of usages people make of this framework, and we review our own experience, before and during the LHC start-up, when monitoring the data quality on both the sub-detectors and the DAQ side in a real-world and challenging environment.

Air Quality Monitoring System and Benchmarking

DEFF Research Database (Denmark)

Liu, Xiufeng; Nielsen, Per Sieverts

2017-01-01

Air quality monitoring has become an integral part of smart city solutions. This paper presents an air quality monitoring system based on Internet of Things (IoT) technologies, and establishes a cloud-based platform to address the challenges related to IoT data management and processing capabilit...... capabilities, including data collection, storage, analysis, and visualization. In addition, this paper also benchmarks four state-of-the-art database systems to investigate the appropriate technologies for managing large-scale IoT datasets....

Data quality assurance in monitoring of wastewater quality: Univariate on-line and off-line methods

DEFF Research Database (Denmark)

Alferes, J.; Poirier, P.; Lamaire-Chad, C.

To make water quality monitoring networks useful for practice, the automation of data collection and data validation still represents an important challenge. Efficient monitoring depends on careful quality control and quality assessment. With a practical orientation a data quality assurance proce...

Near-facility environmental monitoring quality assurance project plan

International Nuclear Information System (INIS)

McKinney, S.M.

1997-01-01

This Quality Assurance Project Plan addresses the quality assurance requirements for the activities associated with the preoperational and near facility environmental monitoring performed by Waste Management Federal Services, Inc., Northwest Operations and supersedes WHC-EP-0538-2. This plan applies to all sampling and monitoring activities performed by waste management Federal Services, Inc., Northwest Operations in implementing facility environmental monitoring at the Hanford Site

The ALICE data quality monitoring system

International Nuclear Information System (INIS)

Haller, B von; Telesca, A; Chapeland, S; Carena, F; Carena, W; Barroso, V Chibante; Costa, F; Denes, E; Divià, R; Fuchs, U; Simonetti, G; Soós, C; Vyvre, P Vande

2011-01-01

ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). The online Data Quality Monitoring (DQM) is a key element of the Data Acquisition's software chain. It provide shifters with precise and complete information to quickly identify and overcome problems, and as a consequence to ensure acquisition of high quality data. DQM typically involves the online gathering, the analysis by user-defined algorithms and the visualization of monitored data. This paper describes the final design of ALICE'S DQM framework called AMORE (Automatic MOnitoRing Environment), as well as its latest and coming features like the integration with the offline analysis and reconstruction framework, a better use of multi-core processors by a parallelization effort, and its interface with the eLogBook. The concurrent collection and analysis of data in an online environment requires the framework to be highly efficient, robust and scalable. We will describe what has been implemented to achieve these goals and the procedures we follow to ensure appropriate robustness and performance. We finally review the wide range of usages people make of this framework, from the basic monitoring of a single sub-detector to the most complex ones within the High Level Trigger farm or using the Prompt Reconstruction and we describe the various ways of accessing the monitoring results. We conclude with our experience, before and after the LHC startup, when monitoring the data quality in a challenging environment.

The ALICE data quality monitoring system

Science.gov (United States)

von Haller, B.; Telesca, A.; Chapeland, S.; Carena, F.; Carena, W.; Chibante Barroso, V.; Costa, F.; Denes, E.; Divià, R.; Fuchs, U.; Simonetti, G.; Soós, C.; Vande Vyvre, P.; ALICE Collaboration

2011-12-01

ALICE (A Large Ion Collider Experiment) is the heavy-ion detector designed to study the physics of strongly interacting matter and the quark-gluon plasma at the CERN Large Hadron Collider (LHC). The online Data Quality Monitoring (DQM) is a key element of the Data Acquisition's software chain. It provide shifters with precise and complete information to quickly identify and overcome problems, and as a consequence to ensure acquisition of high quality data. DQM typically involves the online gathering, the analysis by user-defined algorithms and the visualization of monitored data. This paper describes the final design of ALICE'S DQM framework called AMORE (Automatic MOnitoRing Environment), as well as its latest and coming features like the integration with the offline analysis and reconstruction framework, a better use of multi-core processors by a parallelization effort, and its interface with the eLogBook. The concurrent collection and analysis of data in an online environment requires the framework to be highly efficient, robust and scalable. We will describe what has been implemented to achieve these goals and the procedures we follow to ensure appropriate robustness and performance. We finally review the wide range of usages people make of this framework, from the basic monitoring of a single sub-detector to the most complex ones within the High Level Trigger farm or using the Prompt Reconstruction and we describe the various ways of accessing the monitoring results. We conclude with our experience, before and after the LHC startup, when monitoring the data quality in a challenging environment.

Monitoring Water Quality in the Future, Volume 3: Biomonitoring

NARCIS (Netherlands)

Zwart D de; ECO

1995-01-01

In general terms the problems with the existing water quality monitoring approach concern effective and efficient monitoring strategies. In 1993 the project "Monitoring water quality in the future" started in order to address these problems which will only increase in the future. In the framework of

Multidimensional Heat Conduction

DEFF Research Database (Denmark)

Rode, Carsten

1998-01-01

Analytical theory of multidimensional heat conduction. General heat conduction equation in three dimensions. Steay state, analytical solutions. The Laplace equation. Method of separation of variables. Principle of superposition. Shape factors. Transient, multidimensional heat conduction....

Control of Process Operations and Monitoring of Product Qualities through Generic Model-based Framework in Crystallization Processes

DEFF Research Database (Denmark)

Abdul Samad, Noor Asma Fazli Bin

A generic and systematic model-based framework for the design of a process monitoring and control system to achieve the desired crystal size distribution (CSD) and crystal shape for a wide range of crystallization processes has been developed. This framework combines a generic multi-dimensional m...

Shaping quality: the use of performance polygons for multidimensional presentation and interpretation of qualitative performance data.

Science.gov (United States)

Cook, T M; Coupe, M; Ku, T

2012-06-01

Measuring outcomes and quality in anaesthesia is challenging. In the UK, there is increased focus on these as a result of changes in Department of Health strategy and the imminent introduction of mandatory revalidation for all doctors. A definition of quality may differ according to the observer's standpoint and numerous performance measures may contribute to overall quality. Patients, surgeons, anaesthetic assistants, recovery nurses, managers, and anaesthetic peers are each likely to have their own perspective on 'anaesthetic quality' and would perhaps suggest different metrics to measure it. Speed, efficiency, cost, interpersonal skills, complication rates, patient recorded outcome measures, and satisfaction are all valid as quality measures, but none alone captures anaesthetic quality. Performance data are frequently presented as single-dimension measurements (e.g. pain, postoperative nausea and vomiting, patient satisfaction), but this does not address the fact that two or more domains may be closely related (e.g. use of regional anaesthesia and quality of analgesia) or in opposition (e.g. use of regional anaesthesia and speed). We introduce the concept of a 'performance polygon' as a tool to represent multidimensional performance assessment. This method of data presentation encourages balanced appraisal of anaesthetic quality. Performance polygons may be used to compare individual performance with peers, published outcome norms, trends in performance over time, to explore aspects of team performance and potentially capture data that are required for medical revalidation. Performance polygons enable easy comparison with any relevant data set and are a visual tool that potentially has wider applications in healthcare quality improvement.

Disentangling the health benefits of walking from increased exposure to falls in older people using remote gait monitoring and multi-dimensional analysis.

Science.gov (United States)

Brodie, Matthew A; Okubo, Yoshiro; Annegarn, Janneke; Wieching, Rainer; Lord, Stephen R; Delbaere, Kim

2017-01-01

Falls and physical deconditioning are two major health problems for older people. Recent advances in remote physiological monitoring provide new opportunities to investigate why walking exercise, with its many health benefits, can both increase and decrease fall rates in older people. In this paper we combine remote wearable device monitoring of daily gait with non-linear multi-dimensional pattern recognition analysis; to disentangle the complex associations between walking, health and fall rates. One week of activities of daily living (ADL) were recorded with a wearable device in 96 independent living older people prior to completing 6 months of exergaming interventions. Using the wearable device data; the quantity, intensity, variability and distribution of daily walking patterns were assessed. At baseline, clinical assessments of health, falls, sensorimotor and physiological fall risks were completed. At 6 months, fall rates, sensorimotor and physiological fall risks were re-assessed. A non-linear multi-dimensional analysis was conducted to identify risk-groups according to their daily walking patterns. Four distinct risk-groups were identified: The Impaired (93% fallers), Restrained (8% fallers), Active (50% fallers) and Athletic (4% fallers). Walking was strongly associated with multiple health benefits and protective of falls for the top performing Athletic risk-group. However, in the middle of the spectrum, the Active risk-group, who were more active, younger and healthier were 6.25 times more likely to be fallers than their Restrained counterparts. Remote monitoring of daily walking patterns may provide a new way to distinguish Impaired people at risk of falling because of frailty from Active people at risk of falling from greater exposure to situations were falls could occur, but further validation is required. Wearable device risk-profiling could help in developing more personalised interventions for older people seeking the health benefits of walking

On-line Monitoring of VoIP Quality Using IPFIX

Directory of Open Access Journals (Sweden)

Petr Matousek

2014-01-01

Full Text Available The main goal of VoIP services is to provide a reliable and high-quality voice transmission over packet networks. In order to prove the quality of VoIP transmission, several approaches were designed. In our approach, we are concerned about on-line monitoring of RTP and RTCP traffic. Based on these data, we are able to compute main VoIP quality metrics including jitter, delay, packet loss, and finally R-factor and MOS values. This technique of VoIP quality measuring can be directly incorporated into IPFIX monitoring framework where an IPFIX probe analyses RTP/RTCP packets, computes VoIP quality metrics, and adds these metrics into extended IPFIX flow records. Then, these extended data are stored in a central IPFIX monitoring system called collector where can be used for monitoring purposes. This paper presents a functional implementation of IPFIX plugin for VoIP quality measurement and compares the results with results obtained by other tools.

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...

SERVICE QUALITY DIMENSIONS AS PREDICTORS OF PERCEIVED SERVICE QUALITY IN RETAIL ENVIRONMENT

OpenAIRE

Jelčić, Sandra

2017-01-01

The purpose of this paper is to determine service quality dimensions as predictors of perceived service quality in retail environment. Recent studies emphasised the multidimensional nature of service quality and multidimensional service quality measurement models. Literature reveals that SERVQUAL (Parasuraman et al. 1988) and RSQS (Dabholkar et al. 1996) are the most common instruments used to measure service quality in retail. Considering different market environments neither SERVQUAL nor RS...

Quality control of thermoluminesce personal dose monitoring

International Nuclear Information System (INIS)

Shang Aiguo; He Wenchang; Zhao Fengtao

2006-01-01

In order to evaluate the influence factor to thermoluminesce personal dose monitoring result, the every question that can appear based on the fact was analyzed. The results show that the detector, annealing, measuring process can influence the monitoring result. It gives some measures to enhance monitoring quality. (authors)

Near-Facility Environmental Monitoring Quality Assurance Project Plan

International Nuclear Information System (INIS)

MCKINNEY, S.M.

2000-01-01

This Quality Assurance Project Plan addresses the quality assurance requirements for the activities associated with the preoperational and near-facility environmental monitoring directed by Waste Management Technical Services and supersedes HNF-EP-0538-4. This plan applies to all sampling and monitoring activities performed by Waste Management Technical Services in implementing near-facility environmental monitoring at the Hanford Site. This Quality Assurance Project Plan is required by U.S. Department of Energy Order 5400.1 (DOE 1990) as a part of the Environmental Monitoring Plan (DOE-RL 1997) and is used to define: Environmental measurement and sampling locations used to monitor environmental contaminants near active and inactive facilities and waste storage and disposal sites; Procedures and equipment needed to perform the measurement and sampling; Frequency and analyses required for each measurement and sampling location; Minimum detection level and accuracy; Quality assurance components; and Investigation levels. Near-facility environmental monitoring for the Hanford Site is conducted in accordance with the requirements of U.S. Department of Energy Orders 5400.1 (DOE 1990), 5400.5 (DOE 1993), 5484.1 (DOE 1990), and 435.1 (DOE 1999), and DOE/EH-O173T (DOE 1991). It is Waste Management Technical Services' objective to manage and conduct near-facility environmental monitoring activities at the Hanford Site in a cost-effective and environmentally responsible manner that is in compliance with the letter and spirit of these regulations and other environmental regulations, statutes, and standards

Air Quality Monitoring Programme

DEFF Research Database (Denmark)

Kemp, K.; Palmgren, F.

The Danish Air Quality Monitoring Programme (LMP IV) has been revised in accordance with the Framework Directive and the first three daughter directives of SO2, NOx/NO2, PM10, lead, benzene, CO and ozone. PM10 samplers are under installation and the installation will be completed during 2002...

Automated Method for Monitoring Water Quality Using Landsat Imagery

Directory of Open Access Journals (Sweden)

D. Clay Barrett

2016-06-01

Full Text Available Regular monitoring of water quality is increasingly necessary to keep pace with rapid environmental change and protect human health and well-being. Remote sensing has been suggested as a potential solution for monitoring certain water quality parameters without the need for in situ sampling, but universal methods and tools are lacking. While many studies have developed predictive relationships between remotely sensed surface reflectance and water parameters, these relationships are often unique to a particular geographic region and have little applicability in other areas. In order to remotely monitor water quality, these relationships must be developed on a region by region basis. This paper presents an automated method for processing remotely sensed images from Landsat Thematic Mapper (TM and Enhanced Thematic Mapper Plus (ETM+ and extracting corrected reflectance measurements around known sample locations to allow rapid development of predictive water quality relationships to improve remote monitoring. Using open Python scripting, this study (1 provides an openly accessible and simple method for processing publicly available remote sensing data; and (2 allows determination of relationships between sampled water quality parameters and reflectance values to ultimately allow predictive monitoring. The method is demonstrated through a case study of the Ozark/Ouchita-Appalachian ecoregion in eastern Oklahoma using data collected for the Beneficial Use Monitoring Program (BUMP.

Multidimensional high harmonic spectroscopy

International Nuclear Information System (INIS)

Bruner, Barry D; Soifer, Hadas; Shafir, Dror; Dudovich, Nirit; Serbinenko, Valeria; Smirnova, Olga

2015-01-01

High harmonic generation (HHG) has opened up a new frontier in ultrafast science where attosecond time resolution and Angstrom spatial resolution are accessible in a single measurement. However, reconstructing the dynamics under study is limited by the multiple degrees of freedom involved in strong field interactions. In this paper we describe a new class of measurement schemes for resolving attosecond dynamics, integrating perturbative nonlinear optics with strong-field physics. These approaches serve as a basis for multidimensional high harmonic spectroscopy. Specifically, we show that multidimensional high harmonic spectroscopy can measure tunnel ionization dynamics with high precision, and resolves the interference between multiple ionization channels. In addition, we show how multidimensional HHG can function as a type of lock-in amplifier measurement. Similar to multi-dimensional approaches in nonlinear optical spectroscopy that have resolved correlated femtosecond dynamics, multi-dimensional high harmonic spectroscopy reveals the underlying complex dynamics behind attosecond scale phenomena. (paper)

A Water Quality Monitoring Programme for Schools and Communities

Science.gov (United States)

Spellerberg, Ian; Ward, Jonet; Smith, Fiona

2004-01-01

A water quality monitoring programme for schools is described. The purpose of the programme is to introduce school children to the concept of reporting on the "state of the environment" by raising the awareness of water quality issues and providing skills to monitor water quality. The programme is assessed and its relevance in the…

Multi-dimensional Aggregation for DNS Monitoring

OpenAIRE

Dolberg , Lautaro; François , Jérôme; Engel , Thomas

2013-01-01

International audience; DNS is an essential service in the Internet as it allows to translate human language based domain names into IP addresses. DNS traffic reflects the user activities and behaviors. It is thus a helpful source of information in the context of large scale network monitoring. In particular, passive DNS monitoring garnered much interest for the security perspectives by highlighting the services the machines want to access. In this paper, we propose a new method for assessing...

History plotting tool for Data Quality Monitoring

International Nuclear Information System (INIS)

Giordano, D.; Le Bihan, A.-C.; Pierro, A.; De Mattia, M.

2010-01-01

The size and complexity of the CMS detector makes the Data Quality Monitoring (DQM) system very challenging. Given the high granularity of the CMS sub-detectors, several approaches and tools have been developed to monitor the detector performance closely. We describe here the History DQM, a tool allowing the detector performance monitoring over time.

Numeric invariants from multidimensional persistence

Energy Technology Data Exchange (ETDEWEB)

Skryzalin, Jacek [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Carlsson, Gunnar [Stanford Univ., Stanford, CA (United States)

2017-05-19

In this paper, we analyze the space of multidimensional persistence modules from the perspectives of algebraic geometry. We first build a moduli space of a certain subclass of easily analyzed multidimensional persistence modules, which we construct specifically to capture much of the information which can be gained by using multidimensional persistence over one-dimensional persistence. We argue that the global sections of this space provide interesting numeric invariants when evaluated against our subclass of multidimensional persistence modules. Lastly, we extend these global sections to the space of all multidimensional persistence modules and discuss how the resulting numeric invariants might be used to study data.

Analytical approaches to quality assurance and quality control in rangeland monitoring data

Science.gov (United States)

Producing quality data to support land management decisions is the goal of every rangeland monitoring program. However, the results of quality assurance (QA) and quality control (QC) efforts to improve data quality are rarely reported. The purpose of QA and QC is to prevent and describe non-sampling...

The Danish Air Quality Monitoring Programme

DEFF Research Database (Denmark)

Kemp, K.; Palmgren, F.; Manscher, O. H.

The Danish Air Quality Monitoring Programme (LMP) was started in 1982 as the first nation-wide urban air pollution monitoring programme in Denmark. The programme has been adjusted to the pollution pattern by two revisions. The present phase (LMP III) was started in 1992. This report presents...... Copenhagen the same program is con-ducted as at the street stations with the inclusion of O3. Only NO, NO2 and O3 are reported from the other rural site. Air quality limit values have been implemented in Den-mark for NO2, SO2, TSP in order to protect human health. All limit values are based on EU limit...

Characterization of Atypical Off-Flavor Compounds in Natural Cork Stoppers by Multidimensional Gas Chromatographic Techniques.

Science.gov (United States)

Slabizki, Petra; Fischer, Claus; Legrum, Charlotte; Schmarr, Hans-Georg

2015-09-09

Natural cork stoppers with sensory deviations other than the typical cork taint were subgrouped according to their sensory descriptions and compared with unaffected control cork stoppers. The assessment of purge and trap extracts obtained from corresponding cork soaks was performed by heart-cut multidimensional gas chromatography-olfactometry (MDGC-O). The identification of compounds responsible for atypical cork taint detected in MDGC-O was further supported with additional multidimensional GC analysis in combination with mass spectrometric detection. Geosmin and 2-methylisoborneol were mainly found in cork stoppers described as moldy and cellarlike; 3-isopropyl-2-methoxypyrazine and 3-isobutyl-2-methoxypyrazine were found in cork stoppers described with green attributes. Across all cork subgroups, the impact compound for typical cork taint, 2,4,6-trichloroanisole (TCA), was present and is therefore a good marker for cork taint in general. Another potent aroma compound, 3,5-dimethyl-2-methoxypyrazine (MDMP), was also detected in each subgroup, obviously playing an important role with regard to the atypical cork taint. Sensory deviations possibly affecting the wine could be generated by MDMP and its presence should thus be monitored in routine quality control.

New vision technology for multidimensional quality monitoring of continuous frying of meat

DEFF Research Database (Denmark)

Daugaard, Søren Blond; Adler-Nissen, Jens; Carstensen, Jens Michael

2010-01-01

. The vision technology can also detect even slight increases in the agglutination of the fried minced meat during the process. This agglutination is undesirable, but very difficult to measure on-line. The results indicate that multi-spectral vision technology may partially or totally Substitute visual......The potential of using multi-spectral vision technology for quality control in a continuous frying process was investigated. canonical discriminant analysis of the multi-spectral images of samples of fried minced meat and diced turkey Could clearly visualise the effect of different heat treatments...

An Architecture for Continuous Data Quality Monitoring in Medical Centers.

Science.gov (United States)

Endler, Gregor; Schwab, Peter K; Wahl, Andreas M; Tenschert, Johannes; Lenz, Richard

2015-01-01

In the medical domain, data quality is very important. Since requirements and data change frequently, continuous and sustainable monitoring and improvement of data quality is necessary. Working together with managers of medical centers, we developed an architecture for a data quality monitoring system. The architecture enables domain experts to adapt the system during runtime to match their specifications using a built-in rule system. It also allows arbitrarily complex analyses to be integrated into the monitoring cycle. We evaluate our architecture by matching its components to the well-known data quality methodology TDQM.

Monitoring Indoor Air Quality for Enhanced Occupational Health.

Science.gov (United States)

Pitarma, Rui; Marques, Gonçalo; Ferreira, Bárbara Roque

2017-02-01

Indoor environments are characterized by several pollutant sources. Because people spend more than 90% of their time in indoor environments, several studies have pointed out the impact of indoor air quality on the etiopathogenesis of a wide number of non-specific symptoms which characterizes the "Sick Building Syndrome", involving the skin, the upper and lower respiratory tract, the eyes and the nervous system, as well as many building related diseases. Thus, indoor air quality (IAQ) is recognized as an important factor to be controlled for the occupants' health and comfort. The majority of the monitoring systems presently available is very expensive and only allow to collect random samples. This work describes the system (iAQ), a low-cost indoor air quality monitoring wireless sensor network system, developed using Arduino, XBee modules and micro sensors, for storage and availability of monitoring data on a web portal in real time. Five micro sensors of environmental parameters (air temperature, humidity, carbon monoxide, carbon dioxide and luminosity) were used. Other sensors can be added for monitoring specific pollutants. The results reveal that the system can provide an effective indoor air quality assessment to prevent exposure risk. In fact, the indoor air quality may be extremely different compared to what is expected for a quality living environment. Systems like this would have benefit as public health interventions to reduce the burden of symptoms and diseases related to "sick buildings".

40 CFR 141.87 - Monitoring requirements for water quality parameters.

Science.gov (United States)

2010-07-01

... § 141.87 Monitoring requirements for water quality parameters. All large water systems, and all small- and medium-size systems that exceed the lead or copper action level shall monitor water quality... methods. (i) Tap samples shall be representative of water quality throughout the distribution system...

Model-based monitoring of stormwater runoff quality

DEFF Research Database (Denmark)

Birch, Heidi; Vezzaro, Luca; Mikkelsen, Peter Steen

2013-01-01

Monitoring of micropollutants (MP) in stormwater is essential to evaluate the impacts of stormwater on the receiving aquatic environment. The aim of this study was to investigate how different strategies for monitoring of stormwater quality (combining a model with field sampling) affect the infor...

Quality Assurance Project Plan for Facility Effluent Monitoring Plan activities

International Nuclear Information System (INIS)

Nickels, J.M.

1991-06-01

This Quality Assurance Project Plan addresses the quality assurance requirements for the Facility Monitoring Plans of the overall site-wide environmental monitoring plan. This plan specifically applies to the sampling and analysis activities and continuous monitoring performed for all Facility Effluent Monitoring Plan activities conducted by Westinghouse Hanford Company. It is generic in approach and will be implemented in conjunction with the specific requirements of individual Facility Effluent Monitoring Plans. This document is intended to be a basic road map to the Facility Effluent Monitoring Plan documents (i.e., the guidance document for preparing Facility Effluent Monitoring Plans, Facility Effluent Monitoring Plan determinations, management plan, and Facility Effluent Monitoring Plans). The implementing procedures, plans, and instructions are appropriate for the control of effluent monitoring plans requiring compliance with US Department of Energy, US Environmental Protection Agency, state, and local requirements. This Quality Assurance Project Plan contains a matrix of organizational responsibilities, procedural resources from facility or site manuals used in the Facility Effluent Monitoring Plans, and a list of the analytes of interest and analytical methods for each facility preparing a Facility Effluent Monitoring Plan. 44 refs., 1 figs., 2 tabs

Columbia River water quality monitoring

International Nuclear Information System (INIS)

Anon.

1983-01-01

Waste water from Hanford activities is discharged at eight points along the Hanford reach of the Columbia River. These discharges consist of backwash water from water intake screens, cooling water, river bank springs, water storage tank overflow, and fish laboratory waste water. Each discharge point is identified in an existing National Pollutant Discharge Elimination System (NPDES) permit issued by the EPA. Effluents from each of these outfalls are routinely monitored and reported by the operating contractors as required by their NPDES permits. Measurements of several Columbia River water quality parameters were conducted routinely during 1982 both upstream and downstream of the Hanford Site to monitor any effects on the river that may be attributable to Hanford discharges and to determine compliance with the Class A designation requirements. The measurements indicated that Hanford operations had a minimal, if any, impact on the quality of the Columbia River water

Feasibility, reliability, and validity of the Pediatric Quality of Life Inventory ™ generic core scales, cancer module, and multidimensional fatigue scale in long-term adult survivors of pediatric cancer.

Science.gov (United States)

Robert, Rhonda S; Paxton, Raheem J; Palla, Shana L; Yang, Grace; Askins, Martha A; Joy, Shaini E; Ater, Joann L

2012-10-01

Most health-related quality of life assessments are designed for either children or adults and have not been evaluated for adolescent and young adult survivors of pediatric cancer. The objective of this study was to examine the feasibility, reliability, and validity of the Pediatric Quality of Life Inventory (PedsQL ™ Generic Core Scales, Cancer Module, and Multidimensional Fatigue Scale in adult survivors of pediatric cancer. Adult survivors (n = 64; Mean age 35 year old; >2 years after treatment) completed the PedsQL™ Generic Core Scales, Cancer Module, and Multidimensional Fatigue Scale. Feasibility was examined with floor and ceiling effects; and internal consistency was determined by Cronbach's coefficient alpha calculations. Inter-factor correlations were also assessed. Significant ceiling effects were observed for the scales of social function, nausea, procedural anxiety, treatment anxiety, and communication. Internal consistency for all subscales was within the recommended ranges (α ≥ 0.70). Moderate to strong correlations between most Cancer Module and Generic Core Scales (r = 0.25 to r = 0.76) and between the Multidimensional Fatigue Scale and Generic Core Scales (r = 0.37 to r = 0.73). The PedsQL™ Generic Core Scales, Cancer Module, and Multidimensional Fatigue Scale appear to be feasible for an older population of pediatric cancer survivors; however, some of the Cancer Module Scales (nausea, procedural/treatment anxiety, and communication) were deemed not relevant for long-term survivors. More information is needed to determine whether the issues addressed by these modules are meaningful to long-term adult survivors of pediatric cancers. Copyright © 2012 Wiley Periodicals, Inc.

The Danish Air Quality Monitoring Programme

DEFF Research Database (Denmark)

Kemp, K.; Palmgren, F.

The Danish Air Quality Monitoring Programme (LMP) was started in 1982 as the first nation-wide urban air pollution monitoring programme in Denmark. The programme has been adjusted to the pollution pattern by two revisions. The present phase (LMP III) was started in 1992. From 2000 a new phase...... continuously in order to improve the knowledge about the NO, NO2 and O3 problem complex. At the rural site outside Copenhagen the same program is conducted as at the street stations with the inclusion of O3. Only NO, NO2 and O3 are reported from the other rural site. Air quality limit values have been...... and plants. The new EU Directives introduce revised standards for NO2, SO2, particles (PM10) and Pb. They are implemented through the first "daughter" Directive to the Air Quality Framework Directive. It was adopted by the EU council in April 1999. The new limit values shall be in force from January 2001 (18...

Improved quality monitoring of multi-center acupuncture clinical trials in China

Directory of Open Access Journals (Sweden)

Zheng Hui

2009-12-01

Full Text Available Abstract Background In 2007, the Chinese Science Division of the State Administration of Traditional Chinese Medicine(TCM convened a special conference to discuss quality control for TCM clinical research. Control and assurance standards were established to guarantee the quality of clinical research. This paper provides practical guidelines for implementing strict and reproducible quality control for acupuncture randomized controlled trials (RCTs. Methods A standard quality control program (QCP was established to monitor the quality of acupuncture trials. Case report forms were designed; qualified investigators, study personnel and data management personnel were trained. Monitors, who were directly appointed by the project leader, completed the quality control programs. They guaranteed data accuracy and prevented or detected protocol violations. Clinical centers and clinicians were audited, the randomization system of the centers was inspected, and the treatment processes were audited as well. In addition, the case report forms were reviewed for completeness and internal consistency, the eligibility and validity of the patients in the study was verified, and data was monitored for compliance and accuracy. Results and discussion The monitors complete their reports and submit it to quality assurance and the sponsors. Recommendations and suggestions are made for improving performance. By holding regular meetings to discuss improvements in monitoring standards, the monitors can improve quality and efficiency. Conclusions Supplementing and improving the existed guidelines for quality monitoring will ensure that large multi-centre acupuncture clinical trials will be considered as valid and scientifically stringent as pharmaceutical clinical trials. It will also develop academic excellence and further promote the international recognition of acupuncture.

The OA System of College - - Design of the Teaching Quality Monitoring Subsystem

Science.gov (United States)

Wu, Hongjuan; Ying, Hong; Jiang, Youyi; Yan, Pei

According to the drawbacks of traditional teaching quality monitoring subsystems and based on the achievements of practical research in the teaching quality monitoring administration in College, this paper provides a design of overall structure of teaching quality monitoring subsystem, that is more suitable for colleges' management. This new system is endowed with the same features as .NET application programes: easy to extend, easy to maintain, flexible, convenient, and it let enterprises, students' parents and excellent graduates participate in teaching quality monitoring administration, have significant effect to ensure the quality of talent training in colleges.

Quality Assurance Project Plan for Facility Effluent Monitoring Plan activities

International Nuclear Information System (INIS)

Frazier, T.P.

1994-01-01

This Quality Assurance Project Plan addresses the quality assurance requirements for the activities associated with the Facility Effluent Monitoring Plans, which are part of the overall Hanford Site Environmental Protection Plan. This plan specifically applies to the sampling and analysis activities and continuous monitoring performed for all Facility Effluent Monitoring Plan activities conducted by Westinghouse Hanford Company. It is generic in approach and will be implemented in conjunction with the specific requirements of the individual Facility Effluent Monitoring Plans

The effect of a multidimensional exercise intervention on physical capacity, well-being and quality of life in cancer patients undergoing chemotherapy

DEFF Research Database (Denmark)

Adamsen, Lis; Quist, Morten; Midtgaard, Julie

2006-01-01

The aim of the present study was to investigate the impact of a multidimensional exercise intervention focusing on physical capacity; one-repetition maximum (1RM) and maximum oxygen uptake (VO2Max), activity level, general well-being and quality of life in cancer patients undergoing chemotherapy...... be beneficial for cancer patients undergoing chemotherapy. This study indicates significant clinical meaningful improvements. The exact role of the intervention has to be defined in a randomized controlled design. A clinically controlled trial including 250 patients is currently being carried out....

The 'thousand words' problem: Summarizing multi-dimensional data

International Nuclear Information System (INIS)

Scott, David M.

2011-01-01

Research highlights: → Sophisticated process sensors produce large multi-dimensional data sets. → Plant control systems cannot handle images or large amounts of data. → Various techniques reduce the dimensionality, extracting information from raw data. → Simple 1D and 2D methods can often be extended to 3D and 4D applications. - Abstract: An inherent difficulty in the application of multi-dimensional sensing to process monitoring and control is the extraction and interpretation of useful information. Ultimately the measured data must be collapsed into a relatively small number of values that capture the salient characteristics of the process. Although multiple dimensions are frequently necessary to isolate a particular physical attribute (such as the distribution of a particular chemical species in a reactor), plant control systems are not equipped to use such data directly. The production of a multi-dimensional data set (often displayed as an image) is not the final step of the measurement process, because information must still be extracted from the raw data. In the metaphor of one picture being equal to a thousand words, the problem becomes one of paraphrasing a lengthy description of the image with one or two well-chosen words. Various approaches to solving this problem are discussed using examples from the fields of particle characterization, image processing, and process tomography.

Winter wheat quality monitoring and forecasting system based on remote sensing and environmental factors

International Nuclear Information System (INIS)

Haiyang, Yu; Yanmei, Liu; Guijun, Yang; Xiaodong, Yang; Chenwei, Nie; Dong, Ren

2014-01-01

To achieve dynamic winter wheat quality monitoring and forecasting in larger scale regions, the objective of this study was to design and develop a winter wheat quality monitoring and forecasting system by using a remote sensing index and environmental factors. The winter wheat quality trend was forecasted before the harvest and quality was monitored after the harvest, respectively. The traditional quality-vegetation index from remote sensing monitoring and forecasting models were improved. Combining with latitude information, the vegetation index was used to estimate agronomy parameters which were related with winter wheat quality in the early stages for forecasting the quality trend. A combination of rainfall in May, temperature in May, illumination at later May, the soil available nitrogen content and other environmental factors established the quality monitoring model. Compared with a simple quality-vegetation index, the remote sensing monitoring and forecasting model used in this system get greatly improved accuracy. Winter wheat quality was monitored and forecasted based on the above models, and this system was completed based on WebGIS technology. Finally, in 2010 the operation process of winter wheat quality monitoring system was presented in Beijing, the monitoring and forecasting results was outputted as thematic maps

Quality control of the interpretation monitors of digital radiological images

International Nuclear Information System (INIS)

Favero, Mariana S.; Goulart, Adriano Oliveira S.

2016-01-01

The performance monitors has great importance in image quality of digital radiographic systems. In environments without films, it became necessary to implement acceptance testing and quality control monitors used for interpretation of medical images. The monitors dedicated to radiodiagnostic should provide information that represent slight differences in x-ray attenuation or minor differences in some anatomical region of interest. This should also result in small differences in luminance of an image represented. Factors affecting the quality of medical imaging are contrast, noise, resolution, artifacts and distortions. Therefore, a monitor must have specific characteristics, making it possible for the observer to carry out an assessment that leads to better diagnosis. Based on the need to evaluate diagnostic monitors in various radiological applications, this paper presents a summary for implementation and standardization of tests that are recommended by the publication AAPM Report 03. (author)

Multidimensional Models of Information Need

OpenAIRE

Yun-jie (Calvin) Xu; Kai Huang (Joseph) Tan

2009-01-01

User studies in information science have recognised relevance as a multidimensional construct. An implication of multidimensional relevance is that a user's information need should be modeled by multiple data structures to represent different relevance dimensions. While the extant literature has attempted to model multiple dimensions of a user's information need, the fundamental assumption that a multidimensional model is better than a uni-dimensional model has not been addressed. This study ...

DANIDA; Air Quality Monitoring Programme. Mission 2 Report

Energy Technology Data Exchange (ETDEWEB)

Sivertsen, B.

1996-06-01

The report deals with the EIMP (Environmental Information and Monitoring Programme for the Arab Republic of Egypt). The programme is funded by Danida which is a cooperation project between Norway and Denmark. The programme covers the monitoring of air pollution, coastal water monitoring, and the monitoring of pollution sources and emissions. This report pays the attention to the Norwegian part of the programme executed by NILU (Norwegian Institute for Air Research) which covers the development air quality monitoring network. 14 refs., 51 figs., 18 tabs.

Environment quality monitoring using ARM processor

Science.gov (United States)

Vinaya, C. H.; Krishna Thanikanti, Vamsi; Ramasamy, Sudha

2017-11-01

This paper of air quality monitoring system describes a model of sensors network to continuously monitoring the environment with low cost developed model. At present time all over the world turned into a great revolution in industrial domain and on the other hand environment get polluting in a dangerous value. There are so many technologies present to reduce the polluting contents but still there is no completely reduction of that pollution. Even there are different methods to monitor the pollution content; these are much costly that not everyone can adapt those methods or devices. Now we are proposing a sensors connected network to monitor the environment continuously and displaying the pollutant gases percentage in air surroundings and can transmit the results to our mobiles by message. The advantage of this system is easy to design, establish at area to monitor, maintenance and most cost effective as well.

Monitoring Quality of Biotherapeutic Products Using Multivariate Data Analysis.

Science.gov (United States)

Rathore, Anurag S; Pathak, Mili; Jain, Renu; Jadaun, Gaurav Pratap Singh

2016-07-01

Monitoring the quality of pharmaceutical products is a global challenge, heightened by the implications of letting subquality drugs come to the market on public safety. Regulatory agencies do their due diligence at the time of approval as per their prescribed regulations. However, product quality needs to be monitored post-approval as well to ensure patient safety throughout the product life cycle. This is particularly complicated for biotechnology-based therapeutics where seemingly minor changes in process and/or raw material attributes have been shown to have a significant effect on clinical safety and efficacy of the product. This article provides a perspective on the topic of monitoring the quality of biotech therapeutics. In the backdrop of challenges faced by the regulatory agencies, the potential use of multivariate data analysis as a tool for effective monitoring has been proposed. Case studies using data from several insulin biosimilars have been used to illustrate the key concepts.

Information-Quality based LV-Grid-Monitoring Framework and its Application to Power-Quality Control

DEFF Research Database (Denmark)

Findrik, Mislav; Kristensen, Thomas le Fevre; Hinterhofer, Thomas

2015-01-01

The integration of unpredictable renewable energy sources into the low voltage (LV) power grid results in new challenges when it comes to ensuring power quality in the electrical grid. Addressing this problem requires control of not only the secondary substation but also control of flexible assets...... inside the LV grid. In this paper we investigate how the flexibility information of such assets can be accessed by the controller using heterogeneous off-the-shelf communication networks. To achieve this we develop an adaptive monitoring framework, through which the controller can subscribe to the assets......' flexibility information through an API. We define an information quality metric making the monitoring framework able to adapt information access strategies to ensure the information is made available to the controller with the highest possible information quality. To evaluate the monitoring framework...

Atmosphere and water quality monitoring on Space Station Freedom

Science.gov (United States)

Niu, William

1990-01-01

In Space Station Freedom air and water will be supplied in closed loop systems. The monitoring of air and water qualities will ensure the crew health for the long mission duration. The Atmosphere Composition Monitor consists of the following major instruments: (1) a single focusing mass spectrometer to monitor major air constituents and control the oxygen/nitrogen addition for the Space Station; (2) a gas chromatograph/mass spectrometer to detect trace contaminants; (3) a non-dispersive infrared spectrometer to determine carbon monoxide concentration; and (4) a laser particle counter for measuring particulates in the air. An overview of the design and development concepts for the air and water quality monitors is presented.

A Visual Analytics Approach for Station-Based Air Quality Data

Directory of Open Access Journals (Sweden)

Yi Du

2016-12-01

Full Text Available With the deployment of multi-modality and large-scale sensor networks for monitoring air quality, we are now able to collect large and multi-dimensional spatio-temporal datasets. For these sensed data, we present a comprehensive visual analysis approach for air quality analysis. This approach integrates several visual methods, such as map-based views, calendar views, and trends views, to assist the analysis. Among those visual methods, map-based visual methods are used to display the locations of interest, and the calendar and the trends views are used to discover the linear and periodical patterns. The system also provides various interaction tools to combine the map-based visualization, trends view, calendar view and multi-dimensional view. In addition, we propose a self-adaptive calendar-based controller that can flexibly adapt the changes of data size and granularity in trends view. Such a visual analytics system would facilitate big-data analysis in real applications, especially for decision making support.

A Visual Analytics Approach for Station-Based Air Quality Data.

Science.gov (United States)

Du, Yi; Ma, Cuixia; Wu, Chao; Xu, Xiaowei; Guo, Yike; Zhou, Yuanchun; Li, Jianhui

2016-12-24

With the deployment of multi-modality and large-scale sensor networks for monitoring air quality, we are now able to collect large and multi-dimensional spatio-temporal datasets. For these sensed data, we present a comprehensive visual analysis approach for air quality analysis. This approach integrates several visual methods, such as map-based views, calendar views, and trends views, to assist the analysis. Among those visual methods, map-based visual methods are used to display the locations of interest, and the calendar and the trends views are used to discover the linear and periodical patterns. The system also provides various interaction tools to combine the map-based visualization, trends view, calendar view and multi-dimensional view. In addition, we propose a self-adaptive calendar-based controller that can flexibly adapt the changes of data size and granularity in trends view. Such a visual analytics system would facilitate big-data analysis in real applications, especially for decision making support.

Quality management status of national radiation environmental monitoring network and strategy for development

International Nuclear Information System (INIS)

Huang Renjie; Zhang Rongsuo; Ni Shiying; Shen Gang

2009-01-01

During the period of 10th five-year plan, MEP has constructed a national radiation environmental monitoring network. In the running of the network, quality management on monitoring data is of vital importance. So all the members of the radiation environmental monitoring network are required to ensure the quality of monitoring method, equipment, reagent,quality of personnel, data processing and information management and so on. Thus the monitoring result would be typical and accuracy in science. The article introduced in detail the quality management status of the National Radiation Environmental Monitoring Network and put forward the strategy for development from the institutionalized and large-scale point of view of radioactive environmental monitoring work. (authors)

Liquid microjet - a new tool for environmental water quality monitoring?

International Nuclear Information System (INIS)

Holstein, W.; Buntine, M.

2001-01-01

Our ability to provide real-time, cost-effective and efficient technologies for water quality monitoring remains a critical global environmental research issue. Each year, ground and surface waterways around the world, the global marine environment and the especially-fragile interzonal estuarine ecosystems are being placed under severe stress due to ever-increasing levels of pollutants entering the earth's aquasphere. An almost revolutionary breakthrough in water quality monitoring would be achieved with the development of a real-time, broad-spectrum chemical analysis technology. In this article, a real-time mass spectrometric based water quality monitoring centre around in vacuo liquid microjet injection methodologies is presented

Multi-dimensional information diffusion and balancing market supply: an agent-based approach

NARCIS (Netherlands)

Osinga, S.A.; Kramer, M.R.; Hofstede, G.J.; Beulens, A.J.M.

2013-01-01

This agent-based information management model is designed to explore how multi-dimensional information, spreading through a population of agents (for example farmers) affects market supply. Farmers make quality decisions that must be aligned with available markets. Markets distinguish themselves by

SAMIRA - SAtellite based Monitoring Initiative for Regional Air quality

Science.gov (United States)

Schneider, Philipp; Stebel, Kerstin; Ajtai, Nicolae; Diamandi, Andrei; Horalek, Jan; Nicolae, Doina; Stachlewska, Iwona; Zehner, Claus

2016-04-01

Here, we present a new ESA-funded project entitled Satellite based Monitoring Initiative for Regional Air quality (SAMIRA), which aims at improving regional and local air quality monitoring through synergetic use of data from present and upcoming satellites, traditionally used in situ air quality monitoring networks and output from chemical transport models. Through collaborative efforts in four countries, namely Romania, Poland, the Czech Republic and Norway, all with existing air quality problems, SAMIRA intends to support the involved institutions and associated users in their national monitoring and reporting mandates as well as to generate novel research in this area. Despite considerable improvements in the past decades, Europe is still far from achieving levels of air quality that do not pose unacceptable hazards to humans and the environment. Main concerns in Europe are exceedances of particulate matter (PM), ground-level ozone, benzo(a)pyrene (BaP) and nitrogen dioxide (NO2). While overall sulfur dioxide (SO2) emissions have decreased in recent years, regional concentrations can still be high in some areas. The objectives of SAMIRA are to improve algorithms for the retrieval of hourly aerosol optical depth (AOD) maps from SEVIRI, and to develop robust methods for deriving column- and near-surface PM maps for the study area by combining satellite AOD with information from regional models. The benefit to existing monitoring networks (in situ, models, satellite) by combining these datasets using data fusion methods will be tested for satellite-based NO2, SO2, and PM/AOD. Furthermore, SAMIRA will test and apply techniques for downscaling air quality-related EO products to a spatial resolution that is more in line with what is generally required for studying urban and regional scale air quality. This will be demonstrated for a set of study sites that include the capitals of the four countries and the highly polluted areas along the border of Poland and the

On development of system for environmental monitoring of atmospheric air quality

Directory of Open Access Journals (Sweden)

М. В. Волкодаева

2017-10-01

Full Text Available The article suggests the directions for development of the system of environmental monitoring of atmospheric air quality in the Russian Federation, namely: an increase in the number of stationary control posts for atmospheric pollution in each specific city; expansion of the list of cities where constant measurements of pollutant concentrations are conducted; expansion of the list of controlled impurities through the introduction of automated air quality monitoring systems, the development of computational methods for monitoring air quality, including not only information on pollution levels in terms of compliance with hygienic standards, but also assessment of pollution levels from the perspective of environmental risk to the health of the population. There is a great sensitivity of plants to the low quality of atmospheric air in comparison with the sensitivity of animals and humans. The air quality standards for vegetation are given. It is proposed to evaluate the quality of atmospheric air not only from the point of view of the impact on human health, but taking into account the impact on vegetation, to include in the program route observations carried out by mobile atmospheric air monitoring laboratories, territories with public green areas, which will increase the information content of atmospheric air monitoring and the state of green spaces. In connection with the increasing noise level in large cities and the lack of a permanent noise monitoring system, it is proposed to equip existing and new monitoring stations with noise level meters to provide reliable information for the development of relevant environmental measures.

EXPERT-ANALITICAL MONITORING OF LEARNING PROCESS QUALITY IN HIGH SCHOOL

Directory of Open Access Journals (Sweden)

T. M. Korotun

2010-10-01

Full Text Available The technological model is proposed for monitoring process of learning process quality in high school compliant with current European and home standards. The mathematical methods are elaborated for diverse activities as to learning process objects quality determination unified support. They self-consistently combine: automatic expert evaluation with Bayesian net and Value tree models; Delphi technique enhancement; best practices for education quality assessment. Quality estimates’ consistency index is introduced for their choice and acceptability analysis. Its permanent increasing over monitoring stages is guaranteed. The tools for these stages’ automatic support are described.

Applied multidimensional systems theory

CERN Document Server

Bose, Nirmal K

2017-01-01

Revised and updated, this concise new edition of the pioneering book on multidimensional signal processing is ideal for a new generation of students. Multidimensional systems or m-D systems are the necessary mathematical background for modern digital image processing with applications in biomedicine, X-ray technology and satellite communications. Serving as a firm basis for graduate engineering students and researchers seeking applications in mathematical theories, this edition eschews detailed mathematical theory not useful to students. Presentation of the theory has been revised to make it more readable for students, and introduce some new topics that are emerging as multidimensional DSP topics in the interdisciplinary fields of image processing. New topics include Groebner bases, wavelets, and filter banks.

Implementation of quality standards in an individual monitoring service

Energy Technology Data Exchange (ETDEWEB)

Hyvoenen, H.; Vartiainen, E

2001-07-01

In this paper the implementation of a quality system to the procedures of an individual monitoring service (IMS) is described from the practical perspective. The IMS of the Radiation and Nuclear Safety Authority (STUK) is used as an example. The IMS of STUK monitors about 8500 persons mainly working in hospitals, industry and research centres. The current thermoluminescence dosemeter (TLD) system was introduced in 1992 and the whole service changed to TLDs in 1995. The quality system compatible with the quality standards was introduced in 1999. An application for accreditation to full EN45001 and ISO/IEC Guide 25 was made in December 1999, accreditation was achieved in August 2000 by the Finnish Accreditation Service (FINAS). The considerations needed for the quality system to fulfil the requirements of the quality standards are reported. (author)

Implementation of quality standards in an individual monitoring service

International Nuclear Information System (INIS)

Hyvoenen, H.; Vartiainen, E.

2001-01-01

In this paper the implementation of a quality system to the procedures of an individual monitoring service (IMS) is described from the practical perspective. The IMS of the Radiation and Nuclear Safety Authority (STUK) is used as an example. The IMS of STUK monitors about 8500 persons mainly working in hospitals, industry and research centres. The current thermoluminescence dosemeter (TLD) system was introduced in 1992 and the whole service changed to TLDs in 1995. The quality system compatible with the quality standards was introduced in 1999. An application for accreditation to full EN45001 and ISO/IEC Guide 25 was made in December 1999, accreditation was achieved in August 2000 by the Finnish Accreditation Service (FINAS). The considerations needed for the quality system to fulfil the requirements of the quality standards are reported. (author)

SQL and Multidimensional Data

Directory of Open Access Journals (Sweden)

Mihaela MUNTEAN

2006-01-01

Full Text Available Using SQL you can manipulate multidimensional data and extract that data into a relational table. There are many PL/SQL packages that you can use directly in SQL*Plus or indirectly in Analytic Workspace Manager and OLAP Worksheet. In this article I discussed about some methods that you can use for manipulating and extracting multidimensional data.

Process monitoring using a Quality and Technical Surveillance Program

International Nuclear Information System (INIS)

Rafferty, C.A.

1995-01-01

The purpose of process monitoring using a Quality and Technical Surveillance Program was to help ensure manufactured clad vents sets fully met technical and quality requirements established by the manufacturer and the customer, and that line and program management were immediately alerted if any aspect of the manufacturing activities drifted out of acceptable limits. The Quality and Technical Surveillance Program provided a planned, scheduled approach to monitor key processes and documentation illuminated potential problem areas early enough to permit timely corrective actions to reverse negative trends that, if left uncorrected, could have resulted in deficient hardware. Significant schedule and cost impacts were eliminated

Air quality: evolution of monitoring methods at its height

International Nuclear Information System (INIS)

Legros, E.J.

1996-01-01

In the context of the forthcoming enforcement of the new air law in France, the INERIS (the French National Institute for Industrial Environment and Risks) made a statement at the end of June 1996 about the problems of air quality monitoring and the evolution of measurement tools. This short paper recalls first the historical evolution of the French urban air quality monitoring and its legal aspects, and the recent studies about the cost of air pollution and the impact of diesel particulates, benzene and aromatic hydrocarbons on human health. Then it describes the INERIS works concerning the identification and characterization of pollutants (NOx, CO, CO 2 , SO 2 , lead, ozone, particulates, organic volatile compounds) and the modeling of their dispersion. The monitoring of air quality in France is performed by 31 associations, from which Airparif is devoted to Paris city. (J.S.)

Multidimensional Analyses of Long-Term Clinical Courses of Asthma and Chronic Obstructive Pulmonary Disease

Directory of Open Access Journals (Sweden)

Toru Oga

Full Text Available ABSTRACT: Asthma and chronic obstructive pulmonary disease (COPD are chronic respiratory disorders involving obstructive airway defects. There have been many discussions on their similarities and differences. Although airflow limitation expressed as forced expiratory volume in one second (FEV1 has been considered to be the main diagnostic assessment in both diseases, it does not reflect the functional impairment imparted to the patients by these diseases. Therefore, multidimensional approaches using multiple measurements in assessing disease control or severity have been recommended, and multiple endpoints in addition to FEV1 have been set recently in clinical trials so as not to miss the overall effects. In particular, as improving symptoms and health status as well as pulmonary function are important goals in the management of asthma and COPD, some patient-reported measurements such as health-related quality of life or dyspnea should be included. Nonetheless, there have been few reviews on the long-term clinical course comparing asthma and COPD as predicted by measurements other than airflow limitation. Here, we therefore analyzed and compared longitudinal changes in both physiological measurements and patient-reported measurements in asthma and COPD. Although both diseases showed similar long-term progressive airflow limitation similarly despite guideline-based therapies, disease progression was different in asthma and COPD. In asthma, patient-reported assessments of health status, disability and psychological status remained clinically stable over time, in contrast to the significant deterioration of these parameters in COPD. Thus, because a single measurement of airflow limitation is insufficient to monitor these diseases, multidimensional analyses are important not only for disease control but also for understanding disease progression in asthma and COPD. KEY WORDS: asthma, COPD, longitudinal survey, multidimensional analysis, patient

[Study on the optimization of monitoring indicators of drinking water quality during health supervision].

Science.gov (United States)

Ye, Bixiong; E, Xueli; Zhang, Lan

2015-01-01

To optimize non-regular drinking water quality indices (except Giardia and Cryptosporidium) of urban drinking water. Several methods including drinking water quality exceed the standard, the risk of exceeding standard, the frequency of detecting concentrations below the detection limit, water quality comprehensive index evaluation method, and attribute reduction algorithm of rough set theory were applied, redundancy factor of water quality indicators were eliminated, control factors that play a leading role in drinking water safety were found. Optimization results showed in 62 unconventional water quality monitoring indicators of urban drinking water, 42 water quality indicators could be optimized reduction by comprehensively evaluation combined with attribute reduction of rough set. Optimization of the water quality monitoring indicators and reduction of monitoring indicators and monitoring frequency could ensure the safety of drinking water quality while lowering monitoring costs and reducing monitoring pressure of the sanitation supervision departments.

Quality monitored distributed voting system

Science.gov (United States)

Skogmo, David

1997-01-01

A quality monitoring system can detect certain system faults and fraud attempts in a distributed voting system. The system uses decoy voters to cast predetermined check ballots. Absent check ballots can indicate system faults. Altered check ballots can indicate attempts at counterfeiting votes. The system can also cast check ballots at predetermined times to provide another check on the distributed voting system.

An Expert System Applied in Construction Water Quality Monitoring

OpenAIRE

Leila Ooshaksaraie; Noor E.A. Basri

2011-01-01

Problem statement: An untoward environmental impact of urban growth in Malaysia has been deterioration in a number of watercourses due to severe siltation and other pollutants from the construction site. Water quality monitoring is a plan for decision makers to take into account the adverse impacts of construction activities on the receiving water bodies. It is also a process for collecting the construction water quality monitoring, baseline data and standard level. Approa...

R2 Water Quality Portal Monitoring Stations

Science.gov (United States)

The Water Quality Data Portal (WQP) provides an easy way to access data stored in various large water quality databases. The WQP provides various input parameters on the form including location, site, sampling, and date parameters to filter and customize the returned results. The The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA) and the National Water Quality Monitoring Council (NWQMC) that integrates publicly available water quality data from the USGS National Water Information System (NWIS) the EPA STOrage and RETrieval (STORET) Data Warehouse, and the USDA ARS Sustaining The Earth??s Watersheds - Agricultural Research Database System (STEWARDS).

Monitoring drinking water quality in South Africa: Designing ...

African Journals Online (AJOL)

In South Africa, the management and monitoring of drinking water quality is governed by policies and regulations based on international standards. Water Service Authorities, which are either municipalities or district municipalities, are required to submit information regarding water quality and the management thereof ...

Quasi-experimental evaluation of a multifaceted intervention to improve quality of end-of-life care and quality of dying for patients with advanced dementia in long-term care institutions.

Science.gov (United States)

Verreault, René; Arcand, Marcel; Misson, Lucie; Durand, Pierre J; Kroger, Edeltraut; Aubin, Michèle; Savoie, Maryse; Hadjistavropoulos, Thomas; Kaasalainen, Sharon; Bédard, Annick; Grégoire, Annie; Carmichael, Pierre-Hughes

2018-03-01

Improvement in the quality of end-of-life care for advanced dementia is increasingly recognized as a priority in palliative care. To evaluate the impact of a multidimensional intervention to improve quality of care and quality of dying in advanced dementia in long-term care facilities. Quasi-experimental study with the intervention taking place in two long-term care facilities versus usual care in two others over a 1-year period. The intervention had five components: (1) training program to physicians and nursing staff, (2) clinical monitoring of pain using an observational pain scale, (3) implementation of a regular mouth care routine, (4) early and systematic communication with families about end-of-life care issues with provision of an information booklet, and (5) involvement of a nurse facilitator to implement and monitor the intervention. Quality of care was assessed with the Family Perception of Care Scale. The Symptom Management for End-of-Life Care in Dementia and the Comfort Assessment in Dying scales were used to assess the quality of dying. A total of 193 residents with advanced dementia and their close family members were included (97 in the intervention group and 96 in the usual care group). The Family Perception of Care score was significantly higher in the intervention group than in the usual care group (157.3 vs 149.1; p = 0.04). The Comfort Assessment and Symptom Management scores were also significantly higher in the intervention group. Our multidimensional intervention in long-term care facilities for patients with terminal dementia resulted in improved quality of care and quality of dying when compared to usual care.

Multidimensional Databases and Data Warehousing

CERN Document Server

Jensen, Christian

2010-01-01

The present book's subject is multidimensional data models and data modeling concepts as they are applied in real data warehouses. The book aims to present the most important concepts within this subject in a precise and understandable manner. The book's coverage of fundamental concepts includes data cubes and their elements, such as dimensions, facts, and measures and their representation in a relational setting; it includes architecture-related concepts; and it includes the querying of multidimensional databases.The book also covers advanced multidimensional concepts that are considered to b

An empirical study of multidimensional fidelity of COMPASS consultation.

Science.gov (United States)

Wong, Venus; Ruble, Lisa A; McGrew, John H; Yu, Yue

2018-06-01

Consultation is essential to the daily practice of school psychologists (National Association of School Psychologist, 2010). Successful consultation requires fidelity at both the consultant (implementation) and consultee (intervention) levels. We applied a multidimensional, multilevel conception of fidelity (Dunst, Trivette, & Raab, 2013) to a consultative intervention called the Collaborative Model for Promoting Competence and Success (COMPASS) for students with autism. The study provided 3 main findings. First, multidimensional, multilevel fidelity is a stable construct and increases over time with consultation support. Second, mediation analyses revealed that implementation-level fidelity components had distant, indirect effects on student Individualized Education Program (IEP) outcomes. Third, 3 fidelity components correlated with IEP outcomes: teacher coaching responsiveness at the implementation level, and teacher quality of delivery and student responsiveness at the intervention levels. Implications and future directions are discussed. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Development of a VxWorks-based distributed power quality monitoring system

Energy Technology Data Exchange (ETDEWEB)

Shin, M.J.; Kim, S.J.; Son, Y.I.; Kang, S.H. [Myongji Univ., Yongin (Korea, Republic of). Next-generation Power Technology Center

2007-07-01

Electric utilities are becoming increasingly concerned about power quality because end user equipment is more sensitive to disturbances within the power supply system and also within the consumer facilities. In order to improve the quality of electricity, the sources and causes of disturbances must be known. However, voltage sag and swell, wave-faults and momentary interruptions are difficult to detect and avoid unless power quality monitoring devices are installed permanently. The impact that alternative energy sources have on power quality was also discussed. When distributed generation is connected to the power grid, it can generate and supply more reliable power to the grid. For a reliable interconnection of distributed power to the grid, monitoring systems should display the status of distributed power and record power events. Lack of source stability in distributed generation such as solar-cells or wind-power creates events that should be measured and stored immediately. This paper presented a newly developed real-time power quality monitoring system for distributed power systems. The system is based on a real-time operating system (OS) and can therefore handle many events that happen simultaneously. The proposed system contains a digital signal processor (MPC7410, Motorola) and an A/D board (VMIVME3122, GE). VxWorks was used to implement the monitoring algorithm. This paper outlined the structure and the functions of the developed Distributed Power Quality Monitoring System. Some experiments were conducted to test the performance of the proposed system. According to test results, the system is compatible with standards of the Institute of Electrical and Electronics Engineers (IEEE) for power quality monitoring. 15 refs., 1 tab., 18 figs.

The necessity-concerns framework: a multidimensional theory benefits from multidimensional analysis.

Science.gov (United States)

Phillips, L Alison; Diefenbach, Michael A; Kronish, Ian M; Negron, Rennie M; Horowitz, Carol R

2014-08-01

Patients' medication-related concerns and necessity-beliefs predict adherence. Evaluation of the potentially complex interplay of these two dimensions has been limited because of methods that reduce them to a single dimension (difference scores). We use polynomial regression to assess the multidimensional effect of stroke-event survivors' medication-related concerns and necessity beliefs on their adherence to stroke-prevention medication. Survivors (n = 600) rated their concerns, necessity beliefs, and adherence to medication. Confirmatory and exploratory polynomial regression determined the best-fitting multidimensional model. As posited by the necessity-concerns framework (NCF), the greatest and lowest adherence was reported by those necessity weak concerns and strong concerns/weak Necessity-Beliefs, respectively. However, as could not be assessed using a difference-score model, patients with ambivalent beliefs were less adherent than those exhibiting indifference. Polynomial regression allows for assessment of the multidimensional nature of the NCF. Clinicians/Researchers should be aware that concerns and necessity dimensions are not polar opposites.

Cross-vendor quality monitoring in a multi-vendor Internet of Things

NARCIS (Netherlands)

Holtman, K.J.G.

2015-01-01

This note discusses several problems and solutions in quality monitoring of Internet of Things, when multiple products (devices, apps,) from different vendors interact with each other. It presents a cross-vendor quality monitoring system, which helps each individual vendor discover problems and

Monitoring the LHCb data quality system

CERN Multimedia

Baranov, Alexander

2016-01-01

Monitoring the quality of the data, DQM, is crucial in a high-energy physics experiment to ensure the correct functioning of the apparatus during the data taking. DQM at LHCb is carried out in two phase. The first one is performed on-site, in real time, using unprocessed data directly from the LHCb detector, while the second, also performed on-site, requires the reconstruction of the data selected by the LHCb trigger system and occurs with some delay. For the Run II data taking the LHCb collaboration has re-engineered the DQM protocols and the DQM graphical interface, moving the latter to a web-based monitoring system, called Monet, thus allowing researchers to perform the second phase off-site. In order to support the operator's task, Monet is also equipped with an automated, fully configurable, alarm system, thus allowing its use not only for DQM purposes, but also to track and assess the quality of LHCb software and simulation.

Multi-dimensional imaging

CERN Document Server

Javidi, Bahram; Andres, Pedro

2014-01-01

Provides a broad overview of advanced multidimensional imaging systems with contributions from leading researchers in the field Multi-dimensional Imaging takes the reader from the introductory concepts through to the latest applications of these techniques. Split into 3 parts covering 3D image capture, processing, visualization and display, using 1) a Multi-View Approach and 2.) a Holographic Approach, followed by a 3rd part addressing other 3D systems approaches, applications and signal processing for advanced 3D imaging. This book describes recent developments, as well as the prospects and

The CMS Data Quality Monitoring software experience and future improvements

CERN Document Server

Batinkov, Atanas Ivanov

2013-01-01

The Data Quality Monitoring Software proved to be a central tool in the Compact Muon Solenoid experiment. Its flexibility allowed its integration in several environments: online, for real-time detector monitoring; offline, for the final, fine-grained data certification. The usage of the Data Quality Monitoring software in the different environments and its integration in the Compact Muon Solenoid reconstruction software framework and in all production workflows are presented. The main technical challenges and the adopted solutions to them will be also discussed with emphasis on functionality, long-term robustness and performance.

Water quality monitoring in sub-Saharan African lakes: a review of ...

African Journals Online (AJOL)

This paper reviews the literature on various remote sensing platforms and techniques used for assessing and monitoring water quality in sub-Saharan Africa, and highlights their strengths and weaknesses. The use of remote sensing technology could enhance water quality monitoring, since remotely sensed data offer ...

On the measurement of the (multidimensional) inequality of health distributions

DEFF Research Database (Denmark)

Hougaard, Jens Leth; Moreno-Ternero, Juan D.; Østerdal, Lars Peter Raahave

2013-01-01

a standard mathematical structure. We single out two families of (absolute and relative) multidimensional health inequality indices, inspired by the classical normative approach to income inequality measurement. We also discuss how to extend the analysis to deal with the related problem of health deprivation......Health outcomes are often described according to two dimensions: quality of life and quantity of life. We analyze the measurement of inequality of health distributions referring to these two dimensions. Our analysis relies on a novel treatment of the quality-of-life dimension, which might not have...

Discovering Multidimensional Structure in Relational Data

DEFF Research Database (Denmark)

Jensen, Mikael Rune; Holmgren, Thomas; Pedersen, Torben Bach

2004-01-01

On-Line Analytical Processing (OLAP) systems based on multidimensional databases are essential elements of decision support. However, most existing data is stored in “ordinary” relational OLTP databases, i.e., data has to be (re-) modeled as multidimensional cubes before the advantages of OLAP to...... algorithms for discovering multidimensional schemas from relational databases. The algorithms take a wide range of available metadata into account in the discovery process, including functional and inclusion dependencies, and key and cardinality information....... tools are available. In this paper we present an approach for the automatic construction of multidimensional OLAP database schemas from existing relational OLTP databases, enabling easy OLAP design and analysis for most existing data sources. This is achieved through a set of practical and effective...

The Necessity-Concerns-Framework: A Multidimensional Theory Benefits from Multidimensional Analysis

Science.gov (United States)

Phillips, L. Alison; Diefenbach, Michael; Kronish, Ian M.; Negron, Rennie M.; Horowitz, Carol R.

2014-01-01

Background Patients’ medication-related concerns and necessity-beliefs predict adherence. Evaluation of the potentially complex interplay of these two dimensions has been limited because of methods that reduce them to a single dimension (difference scores). Purpose We use polynomial regression to assess the multidimensional effect of stroke-event survivors’ medication-related concerns and necessity-beliefs on their adherence to stroke-prevention medication. Methods Survivors (n=600) rated their concerns, necessity-beliefs, and adherence to medication. Confirmatory and exploratory polynomial regression determined the best-fitting multidimensional model. Results As posited by the Necessity-Concerns Framework (NCF), the greatest and lowest adherence was reported by those with strong necessity-beliefs/weak concerns and strong concerns/weak necessity-beliefs, respectively. However, as could not be assessed using a difference-score model, patients with ambivalent beliefs were less adherent than those exhibiting indifference. Conclusions Polynomial regression allows for assessment of the multidimensional nature of the NCF. Clinicians/Researchers should be aware that concerns and necessity dimensions are not polar opposites. PMID:24500078

Effluent monitoring Quality Assurance Project Plan for radioactive airborne emissions data. Revision 2

International Nuclear Information System (INIS)

Frazier, T.P.

1995-12-01

This Quality Assurance Project Plan addresses the quality assurance requirements for compiling Hanford Site radioactive airborne emissions data. These data will be reported to the U.S. Environmental Protection Agency, the US Department of Energy, and the Washington State Department of Health. Effluent Monitoring performs compliance assessments on radioactive airborne sampling and monitoring systems. This Quality Assurance Project Plan is prepared in compliance with interim guidelines and specifications. Topics include: project description; project organization and management; quality assurance objectives; sampling procedures; sample custody; calibration procedures; analytical procedures; monitoring and reporting criteria; data reduction, verification, and reporting; internal quality control; performance and system audits; corrective actions; and quality assurance reports

Exploring and linking biomedical resources through multidimensional semantic spaces.

Science.gov (United States)

Berlanga, Rafael; Jiménez-Ruiz, Ernesto; Nebot, Victoria

2012-01-25

integration, exploration, and analysis tasks. Results over a real scenario demonstrate the viability and usefulness of the approach, as well as the quality of the generated multidimensional semantic spaces.

DANIDA; Air Quality Monitoring Programme. Mission 3 Report

Energy Technology Data Exchange (ETDEWEB)

Sivertsen, B.; Marsteen, L.

1996-12-31

In the development of the Environmental Information and Monitoring Programme for the Arab Republic of Egypt (EIMP), NILU is responsible for the establishment of an air pollution monitoring system. This report summarizes the third mission to Egypt and includes meetings and site visit reports. Air quality sites in Alexandria are described and comments are given to earlier selected sites in Cairo

Environmental, political, and economic determinants of water quality monitoring in Europe

Science.gov (United States)

Beck, Lucas; Bernauer, Thomas; Kalbhenn, Anna

2010-11-01

Effective monitoring is essential for effective pollution control in national and international water systems. To what extent are countries' monitoring choices driven by environmental criteria, as they should be? And to what extent are they also influenced by other factors, such as political and economic conditions? To address these questions, we describe and explain the evolution of one of the most important international environmental monitoring networks in Europe, the one for water quality, in the time period 1965-2004. We develop a geographic information system that contains information on the location of several thousand active monitoring stations in Europe. Using multivariate statistics, we then examine whether and to what extent the spatial and temporal clustering of monitoring intensity is driven by environmental, political, and economic factors. The results show that monitoring intensity is higher in river basins exposed to greater environmental pressure. However, political and economic factors also play a strong role in monitoring decisions: democracy, income, and peer pressure are conducive to monitoring intensity, and monitoring intensity generally increases over time. Moreover, even though monitoring is more intense in international upstream-downstream settings, we observe only a weak bias toward more monitoring downstream of international borders. In contrast, negative effects of European Union (EU) membership and runup to the EU's Water Framework Directive are potential reasons for concern. Our results strongly suggest that international coordination and standardization of water quality monitoring should be intensified. It will be interesting to apply our analytical approach also to other national and international monitoring networks, for instance, the U.S. National Water-Quality Assessment Program or the European Monitoring and Evaluation Program for air pollution.

In-situ quality monitoring during laser brazing

Science.gov (United States)

Ungers, Michael; Fecker, Daniel; Frank, Sascha; Donst, Dmitri; Märgner, Volker; Abels, Peter; Kaierle, Stefan

Laser brazing of zinc coated steel is a widely established manufacturing process in the automotive sector, where high quality requirements must be fulfilled. The strength, impermeablitiy and surface appearance of the joint are particularly important for judging its quality. The development of an on-line quality control system is highly desired by the industry. This paper presents recent works on the development of such a system, which consists of two cameras operating in different spectral ranges. For the evaluation of the system, seam imperfections are created artificially during experiments. Finally image processing algorithms for monitoring process parameters based the captured images are presented.

Data Quality Monitoring of the CMS Tracker

International Nuclear Information System (INIS)

Dutta, Suchandra

2011-01-01

The Data Quality Monitoring system for the Tracker has been developed within the CMS Software framework. It has been designed to be used during online data taking as well as during offline reconstruction. The main goal of the online system is to monitor detector performance and identify problems very efficiently during data collection so that proper actions can be taken to fix it. On the other hand any issue with data reconstruction or calibration can be detected during offline processing using the same tool. The monitoring is performed using histograms which are filled with information from raw and reconstructed data computed at the level of individual detectors. Furthermore, statistical tests are performed on these histograms to check the quality and flags are generated automatically. Results are visualized with web based graphical user interfaces. Final data certification is done combining these automatic flags and manual inspection. The Tracker DQM system has been successfully used during cosmic data taking and it has been optimised to fulfill the condition of collision data taking. In this paper we describe the functionality of the CMS Tracker DQM system and the experience acquired during proton-proton collision.

Monitoring water quality by remote sensing

Science.gov (United States)

Brown, R. L. (Principal Investigator)

1977-01-01

The author has identified the following significant results. A limited study was conducted to determine the applicability of remote sensing for evaluating water quality conditions in the San Francisco Bay and delta. Considerable supporting data were available for the study area from other than overflight sources, but short-term temporal and spatial variability precluded their use. The study results were not sufficient to shed much light on the subject, but it did appear that, with the present state of the art in image analysis and the large amount of ground truth needed, remote sensing has only limited application in monitoring water quality.

Process monitoring using a quality and technical surveillance program

International Nuclear Information System (INIS)

Rafferty, C.A.

1995-01-01

The purpose of process monitoring using a quality and technical surveillance program was to help ensure that manufactured clad went sets fully met technical and quality requirements established by the manufacturer and the customer and that line and program management were immediately alerted if any aspect of the manufacturing activities drifted out of acceptable limits. The quality and technical surveillance program provided a planned, scheduled approach to monitor key processes and documentation and certification systems to prevent noncompliances or any manufacturing discrepancies. These surveillances illuminated potential problem areas early enough to permit timely corrective actions to reverse negative trends that, if left uncorrected, could have resulted in deficient hardware. Significant schedule and cost impacts were eliminated. copyright 1995 American Institute of Physics

Quality of life of patients after oncological treatment

International Nuclear Information System (INIS)

Vasilkova, L.

2015-01-01

Quality of life is a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity. It is conditionally multidimensional and multi-factor conditional. Usually, in medicine we monitor the impact of the disease on the physical and mental state of the patient’s subjective point of view. The quality of life of cancer patients affects psychological and somatic symptoms, e. g. depression, anxiety, changes in the perception of their own body image and self-esteem, decreased libido, pain, anger, fear from the future and from relapse, gastrointestinal upset, lymphedema, stoma, fatigue, insomnia. Important role have also failures of cognitive functions arising as a result of treatment toxicity. (author)

Monitoring the Quality of Services in Electronic Banking

OpenAIRE

Jovovic Radislav; Lekic Elvis; Jovovic Miroslav

2016-01-01

Successful development of electronic banking is in direct correlation with the quality of services in electronic banking. Therefore, it is necessary that the banks are familiar with the attributes of electronic services on which clients assess the bank’s quality and client’s satisfaction with them, in order to be able to monitor, correct and improve the performance of electronic banking. We start from the hypothesis that there are already developed theoretical models for measuring the quality...

Multidimensional singular integrals and integral equations

CERN Document Server

Mikhlin, Solomon Grigorievich; Stark, M; Ulam, S

1965-01-01

Multidimensional Singular Integrals and Integral Equations presents the results of the theory of multidimensional singular integrals and of equations containing such integrals. Emphasis is on singular integrals taken over Euclidean space or in the closed manifold of Liapounov and equations containing such integrals. This volume is comprised of eight chapters and begins with an overview of some theorems on linear equations in Banach spaces, followed by a discussion on the simplest properties of multidimensional singular integrals. Subsequent chapters deal with compounding of singular integrals

Monitoring of whey quality with NIR spectroscopy

DEFF Research Database (Denmark)

Kucheryavskiy, Sergey; Lomborg, Carina

2015-01-01

The possibility of using near-infrared (NIR) spectroscopy for monitoring of liquid whey quality parameters during protein production process has been tested. The parameters included total solids, lactose, protein and fat content. The samples for the experiment were taken from real industrial...

Space Station Environmental Health System water quality monitoring

Science.gov (United States)

Vincze, Johanna E.; Sauer, Richard L.

1990-01-01

One of the unique aspects of the Space Station is that it will be a totally encapsulated environment and the air and water supplies will be reclaimed for reuse. The Environmental Health System, a subsystem of CHeCS (Crew Health Care System), must monitor the air and water on board the Space Station Freedom to verify that the quality is adequate for crew safety. Specifically, the Water Quality Subsystem will analyze the potable and hygiene water supplies regularly for organic, inorganic, particulate, and microbial contamination. The equipment selected to perform these analyses will be commercially available instruments which will be converted for use on board the Space Station Freedom. Therefore, the commercial hardware will be analyzed to identify the gravity dependent functions and modified to eliminate them. The selection, analysis, and conversion of the off-the-shelf equipment for monitoring the Space Station reclaimed water creates a challenging project for the Water Quality engineers and scientists.

Air quality monitoring Edson and Hinton area September 1999 to June 2000 : Final report

International Nuclear Information System (INIS)

2002-01-01

The Edson and Hinton areas of Alberta were the subject of a mobile, ambient air quality monitoring survey. The monitoring involved four surveys of a week each, over four seasons, for one year. This area had been selected for monitoring to meet three major objectives: the determination of concentrations of air pollutants representative of the monitored locations in the survey area, to establish a comparison of air pollutant levels to data from other locations in the province of Alberta, and to provide a comparison of air pollutant levels to Alberta's air quality guidelines. These surveys formed an integral part of the air quality monitoring program of Alberta Environment. Using the Mobile Air Monitoring Laboratory (MAML), personnel from Alberta Environment appear on location unannounced. Carbon monoxide, oxides of nitrogen, ozone, particulates, hydrocarbons, sulphur dioxide, hydrogen sulphide, total reduced sulphur and ammonia are the substances measured and monitored. Eighteen sites in the Edson and Hinton area were selected, as well as downwind of industrial facilities in the Edson area, and air quality was monitored using the mobile lab for twenty days. To allow comparison to the air quality guidelines, monitoring was conducted for a minimum of one hour at each location. As a result, approximately 152 hours of air quality monitoring information was obtained, providing data in the vicinity of both populated and industrial areas. The periods comprised September 13-16, 1999 (Fall), February 7-9, 2000 (Winter), April 18-19, 25-27, 2000 (Spring), and June 4-5, 13-16, 2000 (Summer). The results were provided in this report. Most results were below the Alberta Ambient Air Quality Guidelines. refs., 16 tabs., 18 figs

The Danish air quality monitoring programme. Annual Summary for 2006

Energy Technology Data Exchange (ETDEWEB)

Kemp, K.; Ellemann, T.; Brandt, J.; Christensen, Jesper; Ketzel, M.

2007-06-15

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality Monitoring (LMP) network. The aim has been to monitor the levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the concentration trends, to perform source apportionment, and to evaluate the chemical reactions and the dispersion of the pollutants in the atmosphere. In 2006 the air quality was measured in four Danish cities and at two background sites. Besides this model calculations were carried out to supplement the measurements. NO{sub 2} and PM{sub 10} were at several stations found in concentrations above EU limit values, which the Member States have to comply 2005 and in 2010. While the concentrations for most other pollutants have been strongly decreasing since 1982, only a minor decrease has been observed for NO{sub 2} and O{sub 3}. (au)

Changes in water quality along the course of a river - Classic monitoring versus patrol monitoring

Science.gov (United States)

Absalon, Damian; Kryszczuk, Paweł; Rutkiewicz, Paweł

2017-11-01

Monitoring of water quality is a tool necessary to assess the condition of waterbodies in order to properly formulate water management plans. The paper presents the results of patrol monitoring of a 40-kilometre stretch of the Oder between Racibórz and Koźle. It has been established that patrol monitoring is a good tool for verifying the distribution of points of classic stationary monitoring, particularly in areas subject to varied human impact, where tributaries of the main river are very diversified as regards hydrochemistry. For this reason the results of operational monitoring carried out once every few years may not be reliable and the presented condition of the monitored waterbodies may be far from reality.

The CMS Data Quality Monitoring software experience and future improvements

CERN Document Server

De Guio, Federico

2013-01-01

The Data Quality Monitoring (DQM) Software proved to be a central tool in the CMS experiment. Its flexibility allowed its integration in several environments Online, for real-time detector monitoring; Offline, for the final, fine-grained Data Certification; Release Validation, to constantly validate the functionality and the performance of the reconstruction software; in Monte Carlo productions. The central tool to deliver Data Quality information is a web site for browsing data quality histograms (DQM GUI). In this contribution the usage of the DQM Software in the different environments and its integration in the CMS Reconstruction Software Framework and in all production workflows are presented.

DANIDA; Air Quality Monitoring Programme. Mission 4 Report

Energy Technology Data Exchange (ETDEWEB)

Sivertsen, B.

1997-12-31

In the development of the Environmental Information and Monitoring Programme for the Arab Republic of Egypt (EIMP), NILU is responsible for the establishment of an air pollution monitoring system. This report summarizes the fourth mission to Egypt, including planning of the second phase meetings and site visits. Additional air quality sites in Cairo have been described. A project group meeting and a visit to Egypt Meteorological Service have been reported

New Brunswick air quality monitoring results for the year 2000

International Nuclear Information System (INIS)

Hughes, R.

2002-01-01

Monitoring data for air quality in New Brunswick in 2000 is presented in this document. Designed for the general public, it summarizes the air quality results for 2000 and focuses on air quality assessment as it relates to existing air quality standards and objectives. The report also contains the long term trend data for representative sites. The New Brunswick Air Quality Regulation of the Clean Air Act specifies the air quality standards applicable for carbon monoxide, sulphur dioxide, hydrogen sulphide, nitrogen dioxide and total suspended particulate. The monitoring was conducted at 58 sites in 8 regional monitoring networks throughout the province. Thirteen additional sites were selected for the measurement of acid rain. Despite the fact that no standards were in effect in 2000 in New Brunswick for several substances, including inhalable particulate matter, ground-level ozone, volatile organic compounds, selected semi-volatile organic compounds, trace elements in particulate matter and mercury in air and precipitation, their levels were measured at some locations. The results indicate that emissions trends, variations in industrial output, changing process or emission control technologies, and weather conditions throughout the year explain most of the variations in results between regions. As a rule, compliance with standards is good. Acid rain continued to impact, especially in the southwestern districts of the province. Since 1996, the levels of mercury in precipitation has slightly declined. 39 refs., 43 figs

Monitoring the Quality of Services in Electronic Banking

Directory of Open Access Journals (Sweden)

Jovovic Radislav

2016-09-01

Full Text Available Successful development of electronic banking is in direct correlation with the quality of services in electronic banking. Therefore, it is necessary that the banks are familiar with the attributes of electronic services on which clients assess the bank’s quality and client’s satisfaction with them, in order to be able to monitor, correct and improve the performance of electronic banking. We start from the hypothesis that there are already developed theoretical models for measuring the quality of e-banking services but they must be adjusted to the specific environment that is analysed in order to obtain reliable and quality information. The qualitative and quantitative research methods are applied in this paper in order to a get adjusted theoretical model (instrument for measuring the quality of electronic banking services. As a result of the conducted analysis, the initial theoretical model has been modified, so that the final version of the model (instrument for measuring quality of online banking allows obtaining reliable data, and information in the particular environment. And the results are: significant information about the quality of e-banking, modified theoretical model, information about the dimensions of quality of e-banking, customer satisfaction, and pathways and guidelines for the improvement of e-banking. The measuring of quality of electronic banking services in not one time activity but repeated one, as permanent monitoring strategy. This research is widely applicable even though it was conducted in the context of Montenegrin e-banking, since most of the banks in Montenegro are owned by well-known European banks, and it is expected that the obtained knowledge and information can be generalized.

Pilot Water Quality Monitoring Station in Dublin Bay North Bank Monitoring Station (NBMS): MATSIS Project Part I

OpenAIRE

O Donnell, G.; Joyce, E.; O Boyle, S.; McGovern, E.

2008-01-01

The lack of short-term temporal resolution associated with traditional spot sampling for monitoring water quality of dynamic coastal and estuarine waters has meant that many organisations are interesting in autonomous monitoring technologies to provide near real-time semi-continuous data. Such approaches enable capturing short term episodic events (which may be missed or alternatively skew datasets when using spot samples) and provide early warning of water quality problems. New policy driver...

Recent Advances in Point-of-Access Water Quality Monitoring

Science.gov (United States)

Korostynska, O.; Arshak, K.; Velusamy, V.; Arshak, A.; Vaseashta, Ashok

Clean water is one of our most valuable natural resources. In addition to providing safe drinking water it assures functional ecosystems that support fisheries and recreation. Human population growth and its associated increased demands on water pose risks to maintaining acceptable water quality. It is vital to assess source waters and the aquatic systems that receive inputs from industrial waste and sewage treatment plants, storm water systems, and runoff from urban and agricultural lands. Rapid and confident assessments of aquatic resources form the basis for sound environmental management. Current methods engaged in tracing the presence of various bacteria in water employ bulky laboratory equipment and are time consuming. Thus, real-time water quality monitoring is essential for National and International Health and Safety. Environmental water monitoring includes measurements of physical characteristics (e.g. pH, temperature, conductivity), chemical parameters (e.g. oxygen, alkalinity, nitrogen and phosphorus compounds), and abundance of certain biological taxa. Monitoring could also include assays of biological activity such as alkaline phosphatase, tests for toxins such as microcystins and direct measurements of pollutants such as heavy metals or hydrocarbons. Real time detection can significantly reduce the level of damage and also the cost to remedy the problem. This paper presents overview of state-of-the-art methods and devices used for point-of-access water quality monitoring and suggest further developments in this area.

Can the Quality of Education Be Estimated?

Directory of Open Access Journals (Sweden)

L. I. Lurye

2012-01-01

Full Text Available The paper considers the problem of educational quality assessment considerably complicated by socio-cultural multidimensionality of educational process obstructing the development of comprehensive quantitative criteria. Formal monitoring can not always evaluate teaching plan, identify the culturalogy bases of education and upbring- ing, denote the atmosphere and way of life in educational institution, realize the personal growth directions and self-development potentials guaranteeing the growth. Quality management of education should involve continuous feedback from the participants of educational process to facilitate the effectiveness of the results. It is indicated, that too much control over the functions of educational institution most often does not result in quality improvement distorting the values and goals of education and upbringing. The research findings can be applied in the field of educational theory, its culturalogical directions, and development management of educational systems and processes. 

Multidimensional Data Model and Query Language for Informetrics.

Science.gov (United States)

Niemi, Timo; Hirvonen, Lasse; Jarvelin, Kalervo

2003-01-01

Discusses multidimensional data analysis, or online analytical processing (OLAP), which offer a single subject-oriented source for analyzing summary data based on various dimensions. Develops a conceptual/logical multidimensional model for supporting the needs of informetrics, including a multidimensional query language whose basic idea is to…

Monitoring of performance management using Quality Assurance Indicators and ISO requirement

Directory of Open Access Journals (Sweden)

Dargahi H

2007-06-01

Full Text Available Background: Quality assurance is a prevention-oriented system that can be used to improve the quality of care, increase productivity and monitor the performance management in clinical laboratories. ISO 9001: 2000 requirements are a collection of management and technical systems designed to implement quality assurance and monitor performance management in organizations. Methods: A checklist was prepared to monitor the preanalytical, analytical and postanalytical stages of laboratory performance management in 16 areas and all laboratory activities in 14 of the clinical laboratories of the Tehran University of Medical Sciences (TUMS hospitals. Collected data were stored and statistically analyzed using SPSS software. Results: The best performance, in which 77.73% of quality assurance indicators were observed, was found in Sina Hospital. However, only 57.56% of these indicators were fulfilled at Farabi Hospital, with the lowest-level performance among the clinical laboratories of TUMS hospitals. The highest level of compliance with quality assurance indicators was in the hematology departments and for facility demands in management areas. Overall, quality assurance indicators were appropriately followed in only 7% of the clinical laboratories. Conclusion: The average quality assurance observation rate in the clinical laboratories studied was 67.22%, which is insufficient and must be remedied with stricter enforcement of the ISO 9001: 2000 regulations.

Data Quality Monitoring Display for ATLAS experiment

CERN Document Server

Ilchenko, Y; The ATLAS collaboration; Corso-Radu, A; Hadavand, H; Kolos, S; Slagle, K; Taffard, A

2009-01-01

The start of collisions at the LHC brings with it much excitement and many unknowns. It’s essential at this point in the experiment to be prepared with user-friendly tools to quickly and efficiently determine the quality of the data. Easy visualization of data for the shift crew and experts is one of the key factors in the data quality assessment process. The Data Quality Monitoring Display (DQMD) is a visualization tool for the automatic data quality assessment of the ATLAS experiment. It is the interface through which the shift crew and experts can validate the quality of the data being recorded or processed, be warned of problems related to data quality, and identify the origin of such problems. This tool allows great flexibility for visualization of results from automatic histogram checking through custom algorithms, the configuration used to run the algorithms, and histograms used for the check, with an overlay of reference histograms when applicable. The display also supports visualization of the resu...

Validating data quality during wet weather monitoring of wastewater treatment plant influents

DEFF Research Database (Denmark)

Alferes, Janelcy; Lynggaard-Jensen, Anders; Munk-Nielsen, Thomas

Efficient monitoring of water systems and proper use of the collected data in further applications such as modelling, forecasting influent water quality and real-time control depends on careful data quality control. Given the size of the data sets produced nowadays in online water quality...... monitoring schemes, automated data validation is the only feasible option. In this paper, software tools for automatic data quality assessment with a practical orientation are presented. The developments from three organizations ranging from simple to more complex methods for automated data validation...

A Beam Quality Monitor for LHC Beams in the SPS

CERN Document Server

Papotti, G

2008-01-01

The SPS Beam Quality Monitor (BQM) system monitors the longitudinal parameters of the beam before extraction to the LHC to prevent losses and degradation of the LHC luminosity by the injection of low quality beams. It is implemented in two priority levels. At the highest level the SPS-LHC synchronization and global beam structure are verified. If the specifications are not met, the beam should be dumped in the SPS before extraction. On the second level, individual bunch position, length and stability are checked for beam quality assessment. Tolerances are adapted to the mode of operation and extraction to the LHC can also be inhibited. Beam parameters are accessed by acquiring bunch profiles with a longitudinal pick up and fast digital oscilloscope. The beam is monitored for instabilities during the acceleration cycle and thoroughly checked a few ms before extraction for a final decision on extraction interlock. Dedicated hardware and software components implementing fast algorithms are required. In this pape...

A Survey on Data Quality for Dependable Monitoring in Wireless Sensor Networks.

Science.gov (United States)

Jesus, Gonçalo; Casimiro, António; Oliveira, Anabela

2017-09-02

Wireless sensor networks are being increasingly used in several application areas, particularly to collect data and monitor physical processes. Non-functional requirements, like reliability, security or availability, are often important and must be accounted for in the application development. For that purpose, there is a large body of knowledge on dependability techniques for distributed systems, which provide a good basis to understand how to satisfy these non-functional requirements of WSN-based monitoring applications. Given the data-centric nature of monitoring applications, it is of particular importance to ensure that data are reliable or, more generically, that they have the necessary quality. In this survey, we look into the problem of ensuring the desired quality of data for dependable monitoring using WSNs. We take a dependability-oriented perspective, reviewing the possible impairments to dependability and the prominent existing solutions to solve or mitigate these impairments. Despite the variety of components that may form a WSN-based monitoring system, we give particular attention to understanding which faults can affect sensors, how they can affect the quality of the information and how this quality can be improved and quantified.

Automated speech quality monitoring tool based on perceptual evaluation

OpenAIRE

Vozňák, Miroslav; Rozhon, Jan

2010-01-01

The paper deals with a speech quality monitoring tool which we have developed in accordance with PESQ (Perceptual Evaluation of Speech Quality) and is automatically running and calculating the MOS (Mean Opinion Score). Results are stored into database and used in a research project investigating how meteorological conditions influence the speech quality in a GSM network. The meteorological station, which is located in our university campus provides information about a temperature,...

Multi-Dimensional Path Queries

DEFF Research Database (Denmark)

Bækgaard, Lars

1998-01-01

to create nested path structures. We present an SQL-like query language that is based on path expressions and we show how to use it to express multi-dimensional path queries that are suited for advanced data analysis in decision support environments like data warehousing environments......We present the path-relationship model that supports multi-dimensional data modeling and querying. A path-relationship database is composed of sets of paths and sets of relationships. A path is a sequence of related elements (atoms, paths, and sets of paths). A relationship is a binary path...

Monitoring surface water quality using social media in the context of citizen science

Science.gov (United States)

Zheng, Hang; Hong, Yang; Long, Di; Jing, Hua

2017-02-01

Surface water quality monitoring (SWQM) provides essential information for water environmental protection. However, SWQM is costly and limited in terms of equipment and sites. The global popularity of social media and intelligent mobile devices with GPS and photography functions allows citizens to monitor surface water quality. This study aims to propose a method for SWQM using social media platforms. Specifically, a WeChat-based application platform is built to collect water quality reports from volunteers, which have been proven valuable for water quality monitoring. The methods for data screening and volunteer recruitment are discussed based on the collected reports. The proposed methods provide a framework for collecting water quality data from citizens and offer a primary foundation for big data analysis in future research.

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.

A design of wireless sensor networks for a power quality monitoring system.

Science.gov (United States)

Lim, Yujin; Kim, Hak-Man; Kang, Sanggil

2010-01-01

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.

Sample Heterogeneity and the Measurement Structure of the Multidimensional Students' Life Satisfaction Scale

Science.gov (United States)

Sawatzky, Richard; Ratner, Pamela A.; Johnson, Joy L.; Kopec, Jacek A.; Zumbo, Bruno D.

2009-01-01

Several measurement assumptions were examined with the goal of assessing the validity of the Multidimensional Students' Life Satisfaction Scale (MSLSS), a measure of adolescents' satisfaction with their family, friends, living environment, school, self, and general quality of life. The data were obtained via a cross-sectional survey of 8,225…

CAMS: OLAPing Multidimensional Data Streams Efficiently

Science.gov (United States)

Cuzzocrea, Alfredo

In the context of data stream research, taming the multidimensionality of real-life data streams in order to efficiently support OLAP analysis/mining tasks is a critical challenge. Inspired by this fundamental motivation, in this paper we introduce CAMS (C ube-based A cquisition model for M ultidimensional S treams), a model for efficiently OLAPing multidimensional data streams. CAMS combines a set of data stream processing methodologies, namely (i) the OLAP dimension flattening process, which allows us to obtain dimensionality reduction of multidimensional data streams, and (ii) the OLAP stream aggregation scheme, which aggregates data stream readings according to an OLAP-hierarchy-based membership approach. We complete our analytical contribution by means of experimental assessment and analysis of both the efficiency and the scalability of OLAPing capabilities of CAMS on synthetic multidimensional data streams. Both analytical and experimental results clearly connote CAMS as an enabling component for next-generation Data Stream Management Systems.

Monitoring Environmental Quality by Sniffing Social Media

Directory of Open Access Journals (Sweden)

Zhibo Wang

2017-02-01

Full Text Available Nowadays, the environmental pollution and degradation in China has become a serious problem with the rapid development of Chinese heavy industry and increased energy generation. With sustainable development being the key to solving these problems, it is necessary to develop proper techniques for monitoring environmental quality. Compared to traditional environment monitoring methods utilizing expensive and complex instruments, we recognized that social media analysis is an efficient and feasible alternative to achieve this goal with the phenomenon that a growing number of people post their comments and feelings about their living environment on social media, such as blogs and personal websites. In this paper, we self-defined a term called the Environmental Quality Index (EQI to measure and represent people’s overall attitude and sentiment towards an area’s environmental quality at a specific time; it includes not only metrics for water and food quality but also people’s feelings about air pollution. In the experiment, a high sentiment analysis and classification precision of 85.67% was obtained utilizing the support vector machine algorithm, and we calculated and analyzed the EQI for 27 provinces in China using the text data related to the environment from the Chinese Sina micro-blog and Baidu Tieba collected from January 2015 to June 2016. By comparing our results to with the data from the Chinese Academy of Sciences (CAS, we showed that the environment evaluation model we constructed and the method we proposed are feasible and effective.

Data quality monitoring of the CMS tracker

CERN Document Server

Potamianos, Karolos

2009-01-01

The Physics and Data Quality Monitoring (DQM) framework aims at providing a homogeneous monitoring environment across various applications related to data taking at the CMS experiment. It has been designed to be used during online data taking as well as during offline reconstruction. The goal of the online system is to monitor detector performance and identify problems very efficiently during data collection so that proper actions can be taken. On the other hand the reconstruction or calibration problems can be detected during offline processing using the same tool. The monitoring is performed with histograms, which are filled with information from raw and reconstructed data. All histograms can then be displayed both in the central CMS DQM graphical user interface (GUI), as well as in Tracker specific expert GUIs and socalled Tracker Maps. Applications are in place to further process the information from these basic histograms by summarizing them in overview plots, by evaluating them with automated statistica...

Coral skeletal geochemistry as a monitor of inshore water quality

International Nuclear Information System (INIS)

Saha, Narottam; Webb, Gregory E.; Zhao, Jian-Xin

2016-01-01

Coral reefs maintain extraordinary biodiversity and provide protection from tsunamis and storm surge, but inshore coral reef health is degrading in many regions due to deteriorating water quality. Deconvolving natural and anthropogenic changes to water quality is hampered by the lack of long term, dated water quality data but such records are required for forward modelling of reef health to aid their management. Reef corals provide an excellent archive of high resolution geochemical (trace element) proxies that can span hundreds of years and potentially provide records used through the Holocene. Hence, geochemical proxies in corals hold great promise for understanding changes in ancient water quality that can inform broader oceanographic and climatic changes in a given region. This article reviews and highlights the use of coral-based trace metal archives, including metal transported from rivers to the ocean, incorporation of trace metals into coral skeletons and the current ‘state of the art’ in utilizing coral trace metal proxies as tools for monitoring various types of local and regional source-specific pollution (river discharge, land use changes, dredging and dumping, mining, oil spills, antifouling paints, atmospheric sources, sewage). The three most commonly used coral trace element proxies (i.e., Ba/Ca, Mn/Ca, and Y/Ca) are closely associated with river runoff in the Great Barrier Reef, but considerable uncertainty remains regarding their complex biogeochemical cycling and controlling mechanisms. However, coral-based water quality reconstructions have suffered from a lack of understanding of so-called vital effects and early marine diagenesis. The main challenge is to identify and eliminate the influence of extraneous local factors in order to allow accurate water quality reconstructions and to develop alternate proxies to monitor water pollution. Rare earth elements have great potential as they are self-referencing and reflect basic terrestrial input

Coral skeletal geochemistry as a monitor of inshore water quality

Energy Technology Data Exchange (ETDEWEB)

Saha, Narottam, E-mail: n.saha@uq.edu.au; Webb, Gregory E.; Zhao, Jian-Xin

2016-10-01

Coral reefs maintain extraordinary biodiversity and provide protection from tsunamis and storm surge, but inshore coral reef health is degrading in many regions due to deteriorating water quality. Deconvolving natural and anthropogenic changes to water quality is hampered by the lack of long term, dated water quality data but such records are required for forward modelling of reef health to aid their management. Reef corals provide an excellent archive of high resolution geochemical (trace element) proxies that can span hundreds of years and potentially provide records used through the Holocene. Hence, geochemical proxies in corals hold great promise for understanding changes in ancient water quality that can inform broader oceanographic and climatic changes in a given region. This article reviews and highlights the use of coral-based trace metal archives, including metal transported from rivers to the ocean, incorporation of trace metals into coral skeletons and the current ‘state of the art’ in utilizing coral trace metal proxies as tools for monitoring various types of local and regional source-specific pollution (river discharge, land use changes, dredging and dumping, mining, oil spills, antifouling paints, atmospheric sources, sewage). The three most commonly used coral trace element proxies (i.e., Ba/Ca, Mn/Ca, and Y/Ca) are closely associated with river runoff in the Great Barrier Reef, but considerable uncertainty remains regarding their complex biogeochemical cycling and controlling mechanisms. However, coral-based water quality reconstructions have suffered from a lack of understanding of so-called vital effects and early marine diagenesis. The main challenge is to identify and eliminate the influence of extraneous local factors in order to allow accurate water quality reconstructions and to develop alternate proxies to monitor water pollution. Rare earth elements have great potential as they are self-referencing and reflect basic terrestrial input

Spectral Band Characterization for Hyperspectral Monitoring of Water Quality

Science.gov (United States)

Vermillion, Stephanie C.; Raqueno, Rolando; Simmons, Rulon

2001-01-01

A method for selecting the set of spectral characteristics that provides the smallest increase in prediction error is of interest to those using hyperspectral imaging (HSI) to monitor water quality. The spectral characteristics of interest to these applications are spectral bandwidth and location. Three water quality constituents of interest that are detectable via remote sensing are chlorophyll (CHL), total suspended solids (TSS), and colored dissolved organic matter (CDOM). Hyperspectral data provides a rich source of information regarding the content and composition of these materials, but often provides more data than an analyst can manage. This study addresses the spectral characteristics need for water quality monitoring for two reasons. First, determination of the greatest contribution of these spectral characteristics would greatly improve computational ease and efficiency. Second, understanding the spectral capabilities of different spectral resolutions and specific regions is an essential part of future system development and characterization. As new systems are developed and tested, water quality managers will be asked to determine sensor specifications that provide the most accurate and efficient water quality measurements. We address these issues using data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and a set of models to predict constituent concentrations.

South Asia transboundary water quality monitoring workshop summary report.

Energy Technology Data Exchange (ETDEWEB)

Betsill, Jeffrey David; Littlefield, Adriane C.; Luetters, Frederick O.; Rajen, Gaurav

2003-04-01

The Cooperative Monitoring Center (CMC) promotes collaborations among scientists and researchers in several regions as a means of achieving common regional security objectives. To promote cooperation in South Asia on environmental research, an international working group made up of participants from Bangladesh, India, Nepal, Pakistan, and the United States convened in Kathmandu, Nepal, from February 17-23,2002. The workshop was held to further develop the South Asia Transboundary Water Quality Monitoring (SATWQM) project. The project is sponsored in part by the CMC located at Sandia National Laboratories in Albuquerque, New Mexico through funding provided by the US. Department of State, Regional Environmental Affairs Office, American Embassy, Kathmandu, Nepal, and the National Nuclear Security Administration's (NNSA) Office of Nonproliferation and National Security. This report summarizes the SATWQM project, the workshop objectives, process and results. The long-term interests of the participants are to develop systems for sharing regional environmental information as a means of building confidence and improving relations among South Asian countries. The more immediate interests of the group are focused on activities that foster regional sharing of water quality data in the Ganges and Indus River basins. Issues of concern to the SATWQM network participants include studying the impacts from untreated sewage and industrial effluents, agricultural run-off, salinity increases in fresh waters, the siltation and shifting of river channels, and the environmental degradation of critical habitats such as wetlands, protected forests, and endangered aquatic species conservation areas. The workshop focused on five objectives: (1) a deepened understanding of the partner organizations involved; (2) garnering the support of additional regional and national government and non-government organizations in South Asia involved in river water quality monitoring; (3) identification

Fish product quality evaluation based on temperature monitoring in ...

African Journals Online (AJOL)

As one kind of perishable food, fish product is at risk of suffering various damages during cold chain and temperature is the most important factor to affect the product quality. This research work on frozen tilapia fillet was aimed at evaluating the fish product quality and predict shelf-life through monitoring temperature change ...

Applications of continuous water quality monitoring techniques for more efficient water quality research and water resources management

NARCIS (Netherlands)

Rozemeijer, J.C.; Velde, Y. van der; Broers, H.P.; Geer, F. van

2013-01-01

Understanding and taking account of dynamics in water quality is essential for adequate water quality policy and management. In conventional regional surface water and upper groundwater quality monitoring, measurement frequencies are too low to capture the short-term dynamic behavior of solute

Multidimensional correlation among plan complexity, quality and deliverability parameters for volumetric-modulated arc therapy using canonical correlation analysis.

Science.gov (United States)

Shen, Lanxiao; Chen, Shan; Zhu, Xiaoyang; Han, Ce; Zheng, Xiaomin; Deng, Zhenxiang; Zhou, Yongqiang; Gong, Changfei; Xie, Congying; Jin, Xiance

2018-03-01

A multidimensional exploratory statistical method, canonical correlation analysis (CCA), was applied to evaluate the impact of complexity parameters on the plan quality and deliverability of volumetric-modulated arc therapy (VMAT) and to determine parameters in the generation of an ideal VMAT plan. Canonical correlations among complexity, quality and deliverability parameters of VMAT, as well as the contribution weights of different parameters were investigated with 71 two-arc VMAT nasopharyngeal cancer (NPC) patients, and further verified with 28 one-arc VMAT prostate cancer patients. The average MU and MU per control point (MU/CP) for two-arc VMAT plans were 702.6 ± 55.7 and 3.9 ± 0.3 versus 504.6 ± 99.2 and 5.6 ± 1.1 for one-arc VMAT plans, respectively. The individual volume-based 3D gamma passing rates of clinical target volume (γCTV) and planning target volume (γPTV) for NPC and prostate cancer patients were 85.7% ± 9.0% vs 92.6% ± 7.8%, and 88.0% ± 7.6% vs 91.2% ± 7.7%, respectively. Plan complexity parameters of NPC patients were correlated with plan quality (P = 0.047) and individual volume-based 3D gamma indices γ(IV) (P = 0.01), in which, MU/CP and segment area (SA) per control point (SA/CP) were weighted highly in correlation with γ(IV) , and SA/CP, percentage of CPs with SA plan quality with coefficients of 0.98, 0.68 and -0.99, respectively. Further verification with one-arc VMAT plans demonstrated similar results. In conclusion, MU, SA-related parameters and PTV volume were found to have strong effects on the plan quality and deliverability.

Lot quality assurance sampling to monitor supplemental immunization activity quality: an essential tool for improving performance in polio endemic countries.

Science.gov (United States)

Brown, Alexandra E; Okayasu, Hiromasa; Nzioki, Michael M; Wadood, Mufti Z; Chabot-Couture, Guillaume; Quddus, Arshad; Walker, George; Sutter, Roland W

2014-11-01

Monitoring the quality of supplementary immunization activities (SIAs) is a key tool for polio eradication. Regular monitoring data, however, are often unreliable, showing high coverage levels in virtually all areas, including those with ongoing virus circulation. To address this challenge, lot quality assurance sampling (LQAS) was introduced in 2009 as an additional tool to monitor SIA quality. Now used in 8 countries, LQAS provides a number of programmatic benefits: identifying areas of weak coverage quality with statistical reliability, differentiating areas of varying coverage with greater precision, and allowing for trend analysis of campaign quality. LQAS also accommodates changes to survey format, interpretation thresholds, evaluations of sample size, and data collection through mobile phones to improve timeliness of reporting and allow for visualization of campaign quality. LQAS becomes increasingly important to address remaining gaps in SIA quality and help focus resources on high-risk areas to prevent the continued transmission of wild poliovirus. © Crown copyright 2014.

The application of a multi-dimensional assessment approach to talent identification in Australian football.

Science.gov (United States)

Woods, Carl T; Raynor, Annette J; Bruce, Lyndell; McDonald, Zane; Robertson, Sam

2016-07-01

This study investigated whether a multi-dimensional assessment could assist with talent identification in junior Australian football (AF). Participants were recruited from an elite under 18 (U18) AF competition and classified into two groups; talent identified (State U18 Academy representatives; n = 42; 17.6 ± 0.4 y) and non-talent identified (non-State U18 Academy representatives; n = 42; 17.4 ± 0.5 y). Both groups completed a multi-dimensional assessment, which consisted of physical (standing height, dynamic vertical jump height and 20 m multistage fitness test), technical (kicking and handballing tests) and perceptual-cognitive (video decision-making task) performance outcome tests. A multivariate analysis of variance tested the main effect of status on the test criterions, whilst a receiver operating characteristic curve assessed the discrimination provided from the full assessment. The talent identified players outperformed their non-talent identified peers in each test (P talent identified and non-talent identified participants, respectively. When compared to single assessment approaches, this multi-dimensional assessment reflects a more comprehensive means of talent identification in AF. This study further highlights the importance of assessing multi-dimensional performance qualities when identifying talented team sports.

Study of weld quality real-time monitoring system for auto-body assembly

Science.gov (United States)

Xu, Jun; Li, Yong-Bing; Chen, Guan-Long

2005-12-01

Resistance spot welding (RSW) is widely used for the auto-body assembly in automotive industry. But RSW suffers from a major problem of inconsistent quality from weld to weld. The major problem is the complexity of the basic process that may involve material coatings, electrode force, electrode wear, fit up, etc. Therefore weld quality assurance is still a big challenge and goal. Electrode displacement has proved to be a particularly useful signal which correlates well with weld quality. This paper introduces a novel auto-body spot weld quality monitoring system which uses electrode displacement as the quality parameter. This system chooses the latest laser displacement sensor with high resolution to measure the real-time electrode displacement. It solves the interference problem of sensor mounting by designing special fixture, and can be successfully applied on the portable welding machine. It is capable of evaluating weld quality and making diagnosis of process variations such as surface asperities, shunting, worn electrode and weld expansion with real-time electrode displacement. As proved by application in the workshop, the monitoring system has good stability and reliability, and is qualified for monitoring weld quality in process.

Multidimensional poverty, household environment and short-term morbidity in India.

Science.gov (United States)

Dehury, Bidyadhar; Mohanty, Sanjay K

2017-01-01

Using the unit data from the second round of the Indian Human Development Survey (IHDS-II), 2011-2012, which covered 42,152 households, this paper examines the association between multidimensional poverty, household environmental deprivation and short-term morbidities (fever, cough and diarrhoea) in India. Poverty is measured in a multidimensional framework that includes the dimensions of education, health and income, while household environmental deprivation is defined as lack of access to improved sanitation, drinking water and cooking fuel. A composite index combining multidimensional poverty and household environmental deprivation has been computed, and households are classified as follows: multidimensional poor and living in a poor household environment, multidimensional non-poor and living in a poor household environment, multidimensional poor and living in a good household environment and multidimensional non-poor and living in a good household environment. Results suggest that about 23% of the population belonging to multidimensional poor households and living in a poor household environment had experienced short-term morbidities in a reference period of 30 days compared to 20% of the population belonging to multidimensional non-poor households and living in a poor household environment, 19% of the population belonging to multidimensional poor households and living in a good household environment and 15% of the population belonging to multidimensional non-poor households and living in a good household environment. Controlling for socioeconomic covariates, the odds of short-term morbidity was 1.47 [CI 1.40-1.53] among the multidimensional poor and living in a poor household environment, 1.28 [CI 1.21-1.37] among the multidimensional non-poor and living in a poor household environment and 1.21 [CI 1.64-1.28] among the multidimensional poor and living in a good household environment compared to the multidimensional non-poor and living in a good household

Quality Assurance Program Plan for radionuclide airborne emissions monitoring

International Nuclear Information System (INIS)

Vance, L.M.

1993-07-01

This Quality Assurance Program Plan (QAPP) describes the quality assurance requirements and responsibilities for radioactive airborne emissions measurements activities from regulated stacks are controlled at the Hanford Site. Detailed monitoring requirements apply to stacks exceeding 1% of the standard of 10 mrem annual effective dose equivalent to the maximally exposed individual from operations of the Hanford Site

Quality Assurance Program Plan for radionuclide airborne emissions monitoring

Energy Technology Data Exchange (ETDEWEB)

Vance, L.M.

1993-07-01

This Quality Assurance Program Plan (QAPP) describes the quality assurance requirements and responsibilities for radioactive airborne emissions measurements activities from regulated stacks are controlled at the Hanford Site. Detailed monitoring requirements apply to stacks exceeding 1% of the standard of 10 mrem annual effective dose equivalent to the maximally exposed individual from operations of the Hanford Site.

SUSTAINABLE DEVELOPMENT, A MULTIDIMENSIONAL CONCEPT

Directory of Open Access Journals (Sweden)

TEODORESCU ANA MARIA

2015-06-01

Full Text Available Sustainable development imposed itself as a corollary of economic term "development". Sustainable development is meant to be the summation of economic, environmental and social considerations for the present and especially for the future. The concept of sustainable development plays an important role in european and global meetings since 1972, the year it has been set for the first time. Strategies necessary to achieve the objectives of sustainable development have been developed, indicators meant to indicate the result of the implementation of policies have been created, national plans were oriented towards achieving the proposed targets. I wanted to highlight the multidimensional character of the concept of sustainable development. Thus, using specialized national and international literature, I have revealed different approaches of one pillar to the detriment of another pillar depending on the specific field. In the different concepts of sustainable development, the consensus is undoubtedly agreed on its components: economic, social, environmental. Based on this fact, the concept of sustainability has different connotations depending on the specific content of each discipline: biology, economics, sociology, environmental ethics. The multidimensional valence of sustainable development consists of three pillars ability to act together for the benefit of present and future generations. Being a multidimensional concept, importance attached to a pillar over another is directed according to the particularities of each field: in economy profit prevails, in ecology care of natural resources is the most important, the social aims improving human living conditions. The challenge of sustainable development is to combine all the economic, environmental and social benefits and the present generation to come. Ecological approach is reflected in acceptance of limited natural resources by preserving natural capital. In terms of the importance of

An Overview of Multi-Dimensional Models of the Sacramento–San Joaquin Delta

Directory of Open Access Journals (Sweden)

Michael L. MacWilliams

2016-12-01

Full Text Available doi: https://doi.org/10.15447/sfews.2016v14iss4art2Over the past 15 years, the development and application of multi-dimensional hydrodynamic models in San Francisco Bay and the Sacramento–San Joaquin Delta has transformed our ability to analyze and understand the underlying physics of the system. Initial applications of three-dimensional models focused primarily on salt intrusion, and provided a valuable resource for investigating how sea level rise and levee failures in the Delta could influence water quality in the Delta under future conditions. However, multi-dimensional models have also provided significant insights into some of the fundamental biological relationships that have shaped our thinking about the system by exploring the relationship among X2, flow, fish abundance, and the low salinity zone. Through the coupling of multi-dimensional models with wind wave and sediment transport models, it has been possible to move beyond salinity to understand how large-scale changes to the system are likely to affect sediment dynamics, and to assess the potential effects on species that rely on turbidity for habitat. Lastly, the coupling of multi-dimensional hydrodynamic models with particle tracking models has led to advances in our thinking about residence time, the retention of food organisms in the estuary, the effect of south Delta exports on larval entrainment, and the pathways and behaviors of salmonids that travel through the Delta. This paper provides an overview of these recent advances and how they have increased our understanding of the distribution and movement of fish and food organisms. The applications presented serve as a guide to the current state of the science of Delta modeling and provide examples of how we can use multi-dimensional models to predict how future Delta conditions will affect both fish and water supply.

Development and evaluation of a helicopter-borne water-quality monitoring system

Science.gov (United States)

Wallace, J. W.; Jordan, R. A.; Flynn, J.; Thomas, R. W.

1978-01-01

A small, helicopter-borne water-quality monitoring package is being developed by the NASA/EPA using a combination of basic in situ water quality sensors and physical sample collector technology. The package is a lightweight system which can be carried and operated by one person as a passenger in a small helicopter typically available by rental at commercial airports. Real-time measurements are made by suspending the water quality monitoring package with a cable from the hovering helicopter. Designed primarily for use in rapidly assessing hazardous material spills in inland and coastal zone water bodies, the system can survey as many as 20 data stations up to 1.5 kilometers apart in 1 hour. The system provides several channels of sensor data and allows for the addition of future sensors. The system will also collect samples from selected sites with sample collection on command. An EPA Spill Response Team member can easily transport, deploy, and operate the water quality monitoring package to determine the distribution, movement, and concentration of the spilled material in the water body.

Multidimensional quantum entanglement with large-scale integrated optics.

Science.gov (United States)

Wang, Jianwei; Paesani, Stefano; Ding, Yunhong; Santagati, Raffaele; Skrzypczyk, Paul; Salavrakos, Alexia; Tura, Jordi; Augusiak, Remigiusz; Mančinska, Laura; Bacco, Davide; Bonneau, Damien; Silverstone, Joshua W; Gong, Qihuang; Acín, Antonio; Rottwitt, Karsten; Oxenløwe, Leif K; O'Brien, Jeremy L; Laing, Anthony; Thompson, Mark G

2018-04-20

The ability to control multidimensional quantum systems is central to the development of advanced quantum technologies. We demonstrate a multidimensional integrated quantum photonic platform able to generate, control, and analyze high-dimensional entanglement. A programmable bipartite entangled system is realized with dimensions up to 15 × 15 on a large-scale silicon photonics quantum circuit. The device integrates more than 550 photonic components on a single chip, including 16 identical photon-pair sources. We verify the high precision, generality, and controllability of our multidimensional technology, and further exploit these abilities to demonstrate previously unexplored quantum applications, such as quantum randomness expansion and self-testing on multidimensional states. Our work provides an experimental platform for the development of multidimensional quantum technologies. Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Accuracy and Quality of Routine Immunisation Data Monitoring ...

African Journals Online (AJOL)

TNHJOURNALPH

Accuracy and Quality of Routine Immunisation Data Monitoring. System in two South-Eastern Districts of Nigeria. AkinolaAyoola Fatiregun, CeciliaAwogu. Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of. Medicine, University ofibadan, Ibadan, Nigeria. ABSTRACT. BACKGROUND.

Multidimensional Poverty and Child Survival in India

Science.gov (United States)

Mohanty, Sanjay K.

2011-01-01

Background Though the concept of multidimensional poverty has been acknowledged cutting across the disciplines (among economists, public health professionals, development thinkers, social scientists, policy makers and international organizations) and included in the development agenda, its measurement and application are still limited. Objectives and Methodology Using unit data from the National Family and Health Survey 3, India, this paper measures poverty in multidimensional space and examine the linkages of multidimensional poverty with child survival. The multidimensional poverty is measured in the dimension of knowledge, health and wealth and the child survival is measured with respect to infant mortality and under-five mortality. Descriptive statistics, principal component analyses and the life table methods are used in the analyses. Results The estimates of multidimensional poverty are robust and the inter-state differentials are large. While infant mortality rate and under-five mortality rate are disproportionately higher among the abject poor compared to the non-poor, there are no significant differences in child survival among educationally, economically and health poor at the national level. State pattern in child survival among the education, economical and health poor are mixed. Conclusion Use of multidimensional poverty measures help to identify abject poor who are unlikely to come out of poverty trap. The child survival is significantly lower among abject poor compared to moderate poor and non-poor. We urge to popularize the concept of multiple deprivations in research and program so as to reduce poverty and inequality in the population. PMID:22046384

Multidimensional poverty and child survival in India.

Directory of Open Access Journals (Sweden)

Sanjay K Mohanty

Full Text Available Though the concept of multidimensional poverty has been acknowledged cutting across the disciplines (among economists, public health professionals, development thinkers, social scientists, policy makers and international organizations and included in the development agenda, its measurement and application are still limited. OBJECTIVES AND METHODOLOGY: Using unit data from the National Family and Health Survey 3, India, this paper measures poverty in multidimensional space and examine the linkages of multidimensional poverty with child survival. The multidimensional poverty is measured in the dimension of knowledge, health and wealth and the child survival is measured with respect to infant mortality and under-five mortality. Descriptive statistics, principal component analyses and the life table methods are used in the analyses.The estimates of multidimensional poverty are robust and the inter-state differentials are large. While infant mortality rate and under-five mortality rate are disproportionately higher among the abject poor compared to the non-poor, there are no significant differences in child survival among educationally, economically and health poor at the national level. State pattern in child survival among the education, economical and health poor are mixed.Use of multidimensional poverty measures help to identify abject poor who are unlikely to come out of poverty trap. The child survival is significantly lower among abject poor compared to moderate poor and non-poor. We urge to popularize the concept of multiple deprivations in research and program so as to reduce poverty and inequality in the population.

Multidimensional poverty and child survival in India.

Science.gov (United States)

Mohanty, Sanjay K

2011-01-01

Though the concept of multidimensional poverty has been acknowledged cutting across the disciplines (among economists, public health professionals, development thinkers, social scientists, policy makers and international organizations) and included in the development agenda, its measurement and application are still limited. OBJECTIVES AND METHODOLOGY: Using unit data from the National Family and Health Survey 3, India, this paper measures poverty in multidimensional space and examine the linkages of multidimensional poverty with child survival. The multidimensional poverty is measured in the dimension of knowledge, health and wealth and the child survival is measured with respect to infant mortality and under-five mortality. Descriptive statistics, principal component analyses and the life table methods are used in the analyses. The estimates of multidimensional poverty are robust and the inter-state differentials are large. While infant mortality rate and under-five mortality rate are disproportionately higher among the abject poor compared to the non-poor, there are no significant differences in child survival among educationally, economically and health poor at the national level. State pattern in child survival among the education, economical and health poor are mixed. Use of multidimensional poverty measures help to identify abject poor who are unlikely to come out of poverty trap. The child survival is significantly lower among abject poor compared to moderate poor and non-poor. We urge to popularize the concept of multiple deprivations in research and program so as to reduce poverty and inequality in the population.

The emergence and evolution of the multidimensional organization

OpenAIRE

Strikwerda, J.; Stoelhorst, J.W.

2009-01-01

The article discusses multidimensional organizations and the evolution of complex organizations. The six characteristics of multidimensional organizations, disadvantages of the successful organizational structure that is categorized as a multidivisional, multi-unit or M-form, research by the Foundation for Management Studies which suggests that synergies across business divisions can be exploited by the M-form, a team approach to creating economic value, examples of multidimensional firms suc...

International systems for harmonization and quality control by in vivo monitoring and quality control by in vivo monitoring of internal contamination

Energy Technology Data Exchange (ETDEWEB)

Malatova, I [National Radiation Protection Inst., Prague (Czech Republic)

1996-12-31

After the Chernobyl accident, whole body counting for the monitoring of internal contamination of the population was widely used. In many cases, great discrepancy occurred between in vivo measured values and predicted ones from model calculations. This situation was very similar to the situation in environmental monitoring, however, by sample measurement, quality assurance and quality control of the measurement procedure is much easier than by whole body counting. In addition to it, unlike in environmental monitoring, use of semiconductor detectors by whole counting was rather limited in this time so there were few laboratories which were able to distinguish up to 20 radionuclides by which people from the vicinity of Chernobyl were internally contaminated. Therefore, effort was undertaken by many international organization to summarize current status of whole body counting and to estimate uncertainty and sensitivity of different devices. In this paper efforts to harmonize an interpretation of measured results is given. Whole body counting laboratory of the National Radiation Protection Institute (NRPI) in Prague participates in the above mentioned intercomparisons with good results and scientists from NRPI have participated in the preparation of 3 international recommendations concerning measurement of internal contamination (author).

Quality assurance and quality control programme in use at the individual monitoring service of ITN-DPRSN

Energy Technology Data Exchange (ETDEWEB)

Alves, J.G.; Novais, I.; Rangel, S.; Flores, E. [Instituto Tecnologico e Nuclear, Dept. de Proteccao Radiologica e Seguranca Nuclear Estrada Nacional, Sacavem (Portugal)

2006-07-01

The Individual Monitoring Service (I.M.S.) of the Departamento de Proteccao Radiologica e Seguranca Nuclear (D.P.R.S.N.) at the Instituto Tecnologico e Nuclear (I.T.N.) in Portugal operates a thermoluminescence dosimetry system to monitor approximately 3,000 workers for external radiation exposure on a monthly basis. The workers come from nearly 230 facilities in the medical, research and conventional industry fields of activity and almost 85% of the people monitored in 2005 are from medical facilities. The TLD system in use is based on two Harshaw 6600 automatic readers and on the Harshaw 8814 T.L. card and holder containing two detector elements of LiF:Mg,Ti (TLD-100) for the evaluation of Hp(10) and Hp(0.07). All the workers are monitored on a monthly basis using whole body dosemeters. The I.M.S. has implemented a Quality Assurance and Quality Control (Q.A./Q.C.) programme that covers all the aspects of monitoring, from the monitoring request of a customer to the final issue of a dose report. The main aspects of the Q.A./Q.C. programme implemented at the I.M.S. will be presented in this paper using fluxograms and schemes. Several issues will be addressed, e.g., administrative procedures, technical procedures, dealing with complaints, training of staff, etc. The relationship of the I.M.S. with external entities like the customer, the regulatory authority, the central dose registry, the calibration facility, suppliers, maintenance providers, etc. will be mentioned on the administrative procedures described as well as on the technical procedures where applicable. The main technical procedures will be presented in this paper and references will be made to a TLD Quality Control database internally developed and designed for the storage of important Q.C. parameters like the element correction coefficients, reader calibration factors, electronic quality control data generated on a daily basis, and the study of their evolution with time. (author)

Quality assurance and quality control programme in use at the individual monitoring service of ITN-DPRSN

International Nuclear Information System (INIS)

Alves, J.G.; Novais, I.; Rangel, S.; Flores, E.

2006-01-01

The Individual Monitoring Service (I.M.S.) of the Departamento de Proteccao Radiologica e Seguranca Nuclear (D.P.R.S.N.) at the Instituto Tecnologico e Nuclear (I.T.N.) in Portugal operates a thermoluminescence dosimetry system to monitor approximately 3,000 workers for external radiation exposure on a monthly basis. The workers come from nearly 230 facilities in the medical, research and conventional industry fields of activity and almost 85% of the people monitored in 2005 are from medical facilities. The TLD system in use is based on two Harshaw 6600 automatic readers and on the Harshaw 8814 T.L. card and holder containing two detector elements of LiF:Mg,Ti (TLD-100) for the evaluation of Hp(10) and Hp(0.07). All the workers are monitored on a monthly basis using whole body dosemeters. The I.M.S. has implemented a Quality Assurance and Quality Control (Q.A./Q.C.) programme that covers all the aspects of monitoring, from the monitoring request of a customer to the final issue of a dose report. The main aspects of the Q.A./Q.C. programme implemented at the I.M.S. will be presented in this paper using fluxograms and schemes. Several issues will be addressed, e.g., administrative procedures, technical procedures, dealing with complaints, training of staff, etc. The relationship of the I.M.S. with external entities like the customer, the regulatory authority, the central dose registry, the calibration facility, suppliers, maintenance providers, etc. will be mentioned on the administrative procedures described as well as on the technical procedures where applicable. The main technical procedures will be presented in this paper and references will be made to a TLD Quality Control database internally developed and designed for the storage of important Q.C. parameters like the element correction coefficients, reader calibration factors, electronic quality control data generated on a daily basis, and the study of their evolution with time. (author)

Interpretation of PAMZ air quality data and assessment of the PAMZ air quality monitoring program January 2000 to December 2001

International Nuclear Information System (INIS)

2002-01-01

Since December 1999, passive monitors have been in use to support the Air Quality Monitoring Program begun that year. It currently includes 33 passive stations throughout the zone, which measure nitrogen dioxide, sulphur dioxide and ozone. There are also four continuous monitoring stations, two stations operated by Parkland Airshed Management Zone (PAMZ) (Caroline and portable), one operated by Alberta Environment at Red Deer, as well as one station operated by West Central Airshed Society at Hightower Ridge. In 2000 and 2001, the portable station was operated at seven locations within the zone. There were four objectives to this study: (1) provide a summary of the PAMZ air quality monitoring data for the period January 2000 to December 2001, (2) provide an interpretation of that data with regard to emission sources and PAMZ's high priority issues, (3) provide an assessment of the PAMZ Air Quality Monitoring Program performance with respect to the primary objective of the program, and (4) make recommendations on improving or expanding the Air Quality Program. It was found that the ambient concentrations of the different compounds and parameters were below the guidelines established by the Alberta Ambient Air Quality Guidelines (AAAQG) and Canada-wide Standards, with some exceptions which were listed. Ozone concentrations proved to be higher in the Foothills, rather than in an east-west pattern, and lower in the vicinity of transportation corridors (Highway 2). Nitrogen dioxide concentrations were also high in the transportation corridor. The eastern half of the zone was exposed to higher concentrations of sulphur dioxide due to the more dense population and the presence of industries and major highways. Most of the terms of reference of the Technical Working Group appear to be met by the PAMZ Air Quality Monitoring Program. Some recommendations were included in the report, such as the addition of a fifth continuous Air Quality Monitoring station that is portable

Developing Multi-Dimensional Evaluation Criteria for English Learning Websites with University Students and Professors

Science.gov (United States)

Liu, Gi-Zen; Liu, Zih-Hui; Hwang, Gwo-Jen

2011-01-01

Many English learning websites have been developed worldwide, but little research has been conducted concerning the development of comprehensive evaluation criteria. The main purpose of this study is thus to construct a multi-dimensional set of criteria to help learners and teachers evaluate the quality of English learning websites. These…

Enhanced data validation strategy of air quality monitoring network.

Science.gov (United States)

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

2018-01-01

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.

Developing a univariate approach to phase-I monitoring of fuzzy quality profiles

Directory of Open Access Journals (Sweden)

Kazem Noghondarian

2012-10-01

Full Text Available In many real-world applications, the quality of a process or a particular product can be characterized by a functional relationship called profile. A profile builds the relationships between a response quality characteristic and one or more explanatory variables. Monitoring the quality of a profile is implemented to understand and to verify the stability of this functional relationship over time. In some real applications, a fuzzy linear regression model can represent the profile adequately where the response quality characteristic is fuzzy. The purpose of this paper is to develop an approach for monitoring process/product profiles in fuzzy environment. A model in fuzzy linear regression is developed to construct the quality profiles by using linear programming and then fuzzy individuals and moving-range (I-MR control charts are developed to monitor both intercept and slope of fuzzy profiles to achieve an in-control process. A case study in customer satisfaction is presented to show the application of our approach and to express the sensitivity analysis of parameters for building a fuzzy profile.

Regional monitoring of temporal changes in groundwater quality

NARCIS (Netherlands)

Broers, H.P.; Grift, B. van der

2004-01-01

Changes in agricultural practices are expected to affect groundwater quality by changing the loads of nutrients and salts in recharging groundwater, but regional monitoring networks installed to register the changes often fail to detect them and interpretation of trend analysis results is difficult.

Quality assurance in individual monitoring of ionizing radiation

International Nuclear Information System (INIS)

Julius, H.W.

1988-01-01

In todays world, where competition gets tougher, there is a growing consciousness of Quality Assurance (QA) and Quality Control (QC) being key elements to success. This does not only apply o manufacturing of industrial products, it is equally true for public services. Because of the increasing awareness in our modern societies of the quality of life and hence of optimal health care and general safety, it is also the general public that calls for 'products' of the highest possible quality. Good examples of the latter are the continuously improving safety standards for automobiles, for medical diagnostic imaging and for the working environment. Therefore, QA unquestionably plays a vital role in individual monitoring of ionizing radiation, especially since the media talked so many into some sort of radiation phobia. In the following an attempt is made to roughly outline some aspects that may come into play if QA is applied to routine personnel dosimetry. The author wants to emphasize that the subject, which has hardly been dealt with in the professional literature on radiation dosimetry, is a rather 'soft' one. There may be a large number of different approaches to QA, depending on special local situations and individual - sometimes national - views. It should therefore be considered as a general guide, provided in the form of (check)lists containing items of interest in routine monitoring

Smart sensors for real-time water quality monitoring

CERN Document Server

Mason, Alex

2013-01-01

Sensors are being utilised to increasing degrees in all forms of industry.  Researchers and industrial practitioners in all fields seek to obtain a better understanding of appropriate processes so as to improve quality of service and efficiency.  The quality of water is no exception, and the water industry is faced with a wide array of water quality issues being present world-wide.  Thus, the need for sensors to tackle this diverse subject is paramount.  The aim of this book is to combine, for the first time, international expertise in the area of water quality monitoring using smart sensors and systems in order that a better understanding of the challenges faced and solutions posed may be available to all in a single text.

Processing and Quality Monitoring for the ATLAS Tile Hadronic Calorimeter Data

CERN Document Server

Burghgrave, Blake; The ATLAS collaboration

2016-01-01

We present an overview of Data Processing and Data Quality (DQ) Monitoring for the ATLAS Tile Hadronic Calorimeter. Calibration runs are monitored from a data quality perspective and used as a cross-check for physics runs. Data quality in physics runs is monitored extensively and continuously. Any problems are reported and immediately investigated. The DQ efficiency achieved was 99.6% in 2012 and 100% in 2015, after the detector maintenance in 2013-2014. Changes to detector status or calibrations are entered into the conditions database during a brief calibration loop between when a run ends and bulk processing begins. Bulk processed data is reviewed and certified for the ATLAS Good Run List if no problem is detected. Experts maintain the tools used by DQ shifters and the calibration teams during normal operation, and prepare new conditions for data reprocessing and MC production campaigns. Conditions data are stored in 3 databases: Online DB, Offline DB for data and a special DB for Monte Carlo. Database upd...

Processing and Quality Monitoring for the ATLAS Tile Hadronic Calorimeter Data

CERN Document Server

AUTHOR|(INSPIRE)INSPIRE-00354209; The ATLAS collaboration

2017-01-01

An overview is presented of Data Processing and Data Quality (DQ) Monitoring for the ATLAS Tile Hadronic Calorimeter. Calibration runs are monitored from a data quality perspective and used as a cross-check for physics runs. Data quality in physics runs is monitored extensively and continuously. Any problems are reported and immediately investigated. The DQ efficiency achieved was 99.6% in 2012 and 100% in 2015, after the detector maintenance in 2013-2014. Changes to detector status or calibrations are entered into the conditions database (DB) during a brief calibration loop between the end of a run and the beginning of bulk processing of data collected in it. Bulk processed data are reviewed and certified for the ATLAS Good Run List if no problem is detected. Experts maintain the tools used by DQ shifters and the calibration teams during normal operation, and prepare new conditions for data reprocessing and Monte Carlo (MC) production campaigns. Conditions data are stored in 3 databases: Online DB, Offline D...

Design, Certification, and Deployment of the Colorimetric Water Quality Monitoring Kit (CWQMK)

Science.gov (United States)

Gazda, Daniel B.; Nolan, Daniel J.; Rutz, Jeff A.; Schultz, John R.; Siperko, Lorraine M.; Porter, Marc D.; Lipert, Robert J.; Flint, Stephanie M.; McCoy, J. Torin

2010-01-01

In August 2009, an experimental water quality monitoring kit based on Colorimetric Solid Phase Extraction (CSPE) technology was delivered to the International Space Station (ISS) aboard STS-128/17A. The kit, called the Colorimetric Water Quality Monitoring Kit (CWQMK), was flown and deployed as a Station Development Test Objective (SDTO) experiment on the ISS. The goal of the SDTO experiment is to evaluate the acceptability of CSPE technology for routine water quality monitoring on the ISS. This paper provides an overview of the SDTO experiment, as well as a detailed description of the CWQMK hardware and a summary of the testing and analysis conducted to certify the CWQMK for use on the ISS. The initial results obtained from the SDTO experiment are also reported and discussed in detail

Experiences and recommendations in deploying a real-time, water quality monitoring system

Science.gov (United States)

O'Flynn, B.; Regan, F.; Lawlor, A.; Wallace, J.; Torres, J.; O'Mathuna, C.

2010-12-01

Monitoring of water quality at a river basin level to meet the requirements of the Water Framework Directive (WFD) using conventional sampling and laboratory-based techniques poses a significant financial burden. Wireless sensing systems offer the potential to reduce these costs considerably, as well as provide more useful, continuous monitoring capabilities by giving an accurate idea of the changing environmental and water quality in real time. It is unlikely that the traditional spot/grab sampling will provide a reasonable estimate of the true maximum and/or mean concentration for a particular physicochemical variable in a water body with marked temporal variability. When persistent fluctuations occur, it is likely only to be detected through continuous measurements, which have the capability of detecting sporadic peaks of concentration. Thus, in situ sensors capable of continuous sampling of parameters required under the WFD would therefore provide more up-to-date information, cut monitoring costs and provide better coverage representing long-term trends in fluctuations of pollutant concentrations. DEPLOY is a technology demonstration project, which began planning and station selection and design in August 2008 aiming to show how state-of-the-art technology could be implemented for cost-effective, continuous and real-time monitoring of a river catchment. The DEPLOY project is seen as an important building block in the realization of a wide area autonomous network of sensors capable of monitoring the spatial and temporal distribution of important water quality and environmental target parameters. The demonstration sites chosen are based in the River Lee, which flows through Ireland's second largest city, Cork, and were designed to include monitoring stations in five zones considered typical of significant river systems--these monitor water quality parameters such as pH, temperature, depth, conductivity, turbidity and dissolved oxygen. Over one million data points

Experiences and recommendations in deploying a real-time, water quality monitoring system

International Nuclear Information System (INIS)

O'Flynn, B; O'Mathuna, C; Regan, F; Lawlor, A; Wallace, J; Torres, J

2010-01-01

Monitoring of water quality at a river basin level to meet the requirements of the Water Framework Directive (WFD) using conventional sampling and laboratory-based techniques poses a significant financial burden. Wireless sensing systems offer the potential to reduce these costs considerably, as well as provide more useful, continuous monitoring capabilities by giving an accurate idea of the changing environmental and water quality in real time. It is unlikely that the traditional spot/grab sampling will provide a reasonable estimate of the true maximum and/or mean concentration for a particular physicochemical variable in a water body with marked temporal variability. When persistent fluctuations occur, it is likely only to be detected through continuous measurements, which have the capability of detecting sporadic peaks of concentration. Thus, in situ sensors capable of continuous sampling of parameters required under the WFD would therefore provide more up-to-date information, cut monitoring costs and provide better coverage representing long-term trends in fluctuations of pollutant concentrations. DEPLOY is a technology demonstration project, which began planning and station selection and design in August 2008 aiming to show how state-of-the-art technology could be implemented for cost-effective, continuous and real-time monitoring of a river catchment. The DEPLOY project is seen as an important building block in the realization of a wide area autonomous network of sensors capable of monitoring the spatial and temporal distribution of important water quality and environmental target parameters. The demonstration sites chosen are based in the River Lee, which flows through Ireland's second largest city, Cork, and were designed to include monitoring stations in five zones considered typical of significant river systems-–these monitor water quality parameters such as pH, temperature, depth, conductivity, turbidity and dissolved oxygen. Over one million data

Online data quality monitoring system at BES Ⅲ

International Nuclear Information System (INIS)

Sun Xiaodong; Hu Jifeng; Zhao Haisheng; Ji Xiaobin; Wang Yifang; Liu Beijiang; Zheng Yangheng

2012-01-01

The online Data Quality Monitoring (DQM) tool plays an important role in the data recording process of HEP experiments. The BES Ⅲ DQM collects data from the online data flow, reconstructs them with offline reconstruction software and automatically analyzes the reconstructed data with user-defined algorithms. The DQM software is a scalable distributed system. The monitored results are gathered and displayed in various formats, which provides the shifter with current run information that can be used to identify problems quickly. This paper gives an overview of the DQM system at BES Ⅲ. (authors)

Air Quality – monitoring and modelling

Directory of Open Access Journals (Sweden)

Marius DEACONU

2012-12-01

Full Text Available Air pollution is a major concern for all nations, regardless of their development. The rapid growth of the industrial sector and urban development have lead to significant quantities of substances and toxic materials, mostly discharged into the atmosphere and having adverse effects both on human health and environment in general. Human society has to recognize that environment has only a limited capacity to process all of its waste without major changes. Each of us is a pollutant but also a victim of pollution. If monitoring of air pollutants is particularly important for assessing the air quality at any moment, by modelling the monitoring data spectacular results are obtained both through the factor analysis and identification of potential pollution mitigation measures. Latest equipment and techniques come and support these problems giving medium and long term solutions.

New Brunswick air quality monitoring results for the year 2007 : executive summary

International Nuclear Information System (INIS)

2009-01-01

Air quality has been monitored in New Brunswick since the 1960s. This report summarized air quality results for general public information, with emphasis on air quality assessment in relation to existing air quality standards and objectives. Long-term trend data were also presented for representative sites. Air contaminants currently covered by provincial objectives were measured at 59 sites across the province during 2007. Acid rain was measured at 13 additional sites. Some locations were monitored for volatile organic compounds and mercury in air. Quality assurance procedures used in the provincial air quality system were also described. The report revealed that there were no exceedances of New Brunswick air quality objectives for nitrogen dioxide or carbon monoxide at any of the provincial monitoring sites in 2007. In many instances, exceedances for ozone, total reduced sulphur, fine particulate matter and total volatile organic compound concentrations were lower in 2007 than in 2006. Air quality trends indicate that since the late 1970s and 1980s, air quality has improved for all pollutants currently being measured, with the possible exception of ground level ozone. Annual average levels of sulphur dioxide have decreased significantly over the past 15-20 years. The long term levels of carbon monoxide and nitrogen dioxide have also decreased. Acid deposition has declined since the early 1990s, but its effects continue to be of concern in the province. In 2007, sulphate in precipitation was moderately lower than in 2006.

AFRRI TRIGA Reactor water quality monitoring program

International Nuclear Information System (INIS)

Moore, Mark; George, Robert; Spence, Harry; Nguyen, John

1992-01-01

AFRRI has started a water quality monitoring program to provide base line data for early detection of tank leaks. This program revealed problems with growth of algae and bacteria in the pool as a result of contamination with nitrogenous matter. Steps have been taken to reduce the nitrogen levels and to kill and remove algae and bacteria from the reactor pool. (author)

Fenceline water quality monitoring of effluents from BARC establishment

International Nuclear Information System (INIS)

Prathibha, P.; Kothai, P.; Saradhi, I.V.; Pandit, G.G.; Puranik, V.D.

2007-01-01

Wastewater generated from various sources (industrial, residential, rain water runoff etc.,) is either discharged into water bodies or reused/recycled for various purposes. Continuous monitoring of the wastewater is necessary to check whether these effluents are meeting the stringent limits proposed for discharge into water bodies or recycled/reused. Monitoring of these effluents also helps in designing the wastewater treatment system required to meet the standards. In this paper, water quality monitoring carried out during each quarter of the year 2005 for the effluents discharged from different utilities of BARC into Trombay bay is presented. The results indicate that the Bio-chemical oxygen demand (BOD) and chemical oxygen demand (COD) are in the range of 7.9 to 38.9 mg/l and 29.4 to 78.9 mg/l respectively. The nitrates and sulphates are in the range of 0.5 to 7.2 mg/l and 7.8 to 52.3 mg/l respectively. The water quality data of the parameters analyzed are well within the limits stipulated by Central Pollution Control Board. (author)

Multidimensional measures validated for home health needs of older persons: A systematic review.

Science.gov (United States)

de Rossi Figueiredo, Daniela; Paes, Lucilene Gama; Warmling, Alessandra Martins; Erdmann, Alacoque Lorenzini; de Mello, Ana Lúcia Schaefer Ferreira

2018-01-01

To conduct a systematic review of the literature on valid and reliable multidimensional instruments to assess home health needs of older persons. Systematic review. Electronic databases, PubMed/Medline, Web of Science, Scopus, Cumulative Index to Nursing and Allied Health Literature, Scientific Electronic Library Online and the Latin American and Caribbean Health Sciences Information. All English, Portuguese and Spanish literature which included studies of reliability and validity of instruments that assessed at least two dimensions: physical, psychological, social support and functional independence, self-rated health behaviors and contextual environment and if such instruments proposed interventions after evaluation and/or monitoring changes over a period of time. Older persons aged 60 years or older. Of the 2397 studies identified, 32 were considered eligible. Two-thirds of the instruments proposed the physical, psychological, social support and functional independence dimensions. Inter-observer and intra-observer reliability and internal consistency values were 0.7 or above. More than two-thirds of the studies included validity (n=26) and more than one validity was tested in 15% (n=4) of these. Only 7% (n=2) proposed interventions after evaluation and/or monitoring changes over a period of time. Although the multidimensional assessment was performed, and the reliability values of the reviewed studies were satisfactory, different validity tests were not present in several studies. A gap at the instrument conception was observed related to interventions after evaluation and/or monitoring changes over a period of time. Further studies with this purpose are necessary for home health needs of the older persons. Copyright © 2017 Elsevier Ltd. All rights reserved.

Volunteer Macroinvertebrate Monitoring: Tensions Among Group Goals, Data Quality, and Outcomes

Science.gov (United States)

Nerbonne, Julia Frost; Nelson, Kristen C.

2008-09-01

Volunteer monitoring of natural resources is promoted for its ability to increase public awareness, to provide valuable knowledge, and to encourage policy change that promotes ecosystem health. We used the case of volunteer macroinvertebrate monitoring (VMM) in streams to investigate whether the quality of data collected is correlated with data use and organizers’ perception of whether they have achieved these outcomes. We examined the relation between site and group characteristics, data quality, data use, and perceived outcomes (education, social capital, and policy change). We found that group size and the degree to which citizen groups perform tasks on their own (rather than aided by professionals) positively correlated with the quality of data collected. Group size and number of years monitoring positively influenced whether a group used their data. While one might expect that groups committed to collecting good-quality data would be more likely to use it, there was no relation between data quality and data use, and no relation between data quality and perceived outcomes. More data use was, however, correlated with a group’s feeling of connection to a network of engaged citizens and professionals. While VMM may hold promise for bringing citizens and scientists together to work on joint conservation agendas, our data illustrate that data quality does not correlate with a volunteer group’s desire to use their data to promote regulatory change. Therefore, we encourage scientists and citizens alike to recognize this potential disconnect and strive to be explicit about the role of data in conservation efforts.

Lexical Sophistication as a Multidimensional Phenomenon: Relations to Second Language Lexical Proficiency, Development, and Writing Quality

Science.gov (United States)

Kim, Minkyung; Crossley, Scott A.; Kyle, Kristopher

2018-01-01

This study conceptualizes lexical sophistication as a multidimensional phenomenon by reducing numerous lexical features of lexical sophistication into 12 aggregated components (i.e., dimensions) via a principal component analysis approach. These components were then used to predict second language (L2) writing proficiency levels, holistic lexical…

MONITORING OF ELECTRICAL ENERGY QUALITY ON THE TRACTION SUBSTATION INPUT

Directory of Open Access Journals (Sweden)

O.G. Gryb

2015-12-01

Full Text Available For the implementation of measures to maintain the quality of the energy industrial enterprises have to spend a significant material and monetary assets. In this regard, significant is the feasibility study of the allocation of such funds and, primarily, the determination of the economic damage arising from low quality of electricity. The reliability of the electricity metering system, relay protection and automation of modern digital substations depends on the quality of electrical energy. At the present time to improve the reliability of the substation operation it is necessary to monitor indicators of quality of electric energy, allowing you to take organizational and technical solutions for their improvement. Monitoring the power quality at the input traction substation has shown that indicators such as the coefficient of the n-th harmonic component of the voltage does not meet the standards GOST 13109-97. The source of higher harmonics is a voltage Converter used on the locomotive. To eliminate higher harmonics in the supply network for traction substations will need to install power filters. Today, the USB-analyzer of power quality «Digital measurement system of power quality» type of CSICE of accuracy class 0.2. Work energy requires reliable and quality electricity supply to consumers. The new model of balancing energy market are bilateral contracts. The main task of this market, it ensure the stable and reliable operation of the unified energy system of Ukraine, that is, transmission and supply of electricity of appropriate quality.

Assessment and rationalization of water quality monitoring network: a multivariate statistical approach to the Kabbini River (India).

Science.gov (United States)

Mavukkandy, Musthafa Odayooth; Karmakar, Subhankar; Harikumar, P S

2014-09-01

The establishment of an efficient surface water quality monitoring (WQM) network is a critical component in the assessment, restoration and protection of river water quality. A periodic evaluation of monitoring network is mandatory to ensure effective data collection and possible redesigning of existing network in a river catchment. In this study, the efficacy and appropriateness of existing water quality monitoring network in the Kabbini River basin of Kerala, India is presented. Significant multivariate statistical techniques like principal component analysis (PCA) and principal factor analysis (PFA) have been employed to evaluate the efficiency of the surface water quality monitoring network with monitoring stations as the evaluated variables for the interpretation of complex data matrix of the river basin. The main objective is to identify significant monitoring stations that must essentially be included in assessing annual and seasonal variations of river water quality. Moreover, the significance of seasonal redesign of the monitoring network was also investigated to capture valuable information on water quality from the network. Results identified few monitoring stations as insignificant in explaining the annual variance of the dataset. Moreover, the seasonal redesign of the monitoring network through a multivariate statistical framework was found to capture valuable information from the system, thus making the network more efficient. Cluster analysis (CA) classified the sampling sites into different groups based on similarity in water quality characteristics. The PCA/PFA identified significant latent factors standing for different pollution sources such as organic pollution, industrial pollution, diffuse pollution and faecal contamination. Thus, the present study illustrates that various multivariate statistical techniques can be effectively employed in sustainable management of water resources. The effectiveness of existing river water quality monitoring

A Low-Cost Sensing System for Cooperative Air Quality Monitoring in Urban Areas

Directory of Open Access Journals (Sweden)

Simone Brienza

2015-05-01

Full Text Available Air quality in urban areas is a very important topic as it closely affects the health of citizens. Recent studies highlight that the exposure to polluted air can increase the incidence of diseases and deteriorate the quality of life. Hence, it is necessary to develop tools for real-time air quality monitoring, so as to allow appropriate and timely decisions. In this paper, we present uSense, a low-cost cooperative monitoring tool that allows knowing, in real-time, the concentrations of polluting gases in various areas of the city. Specifically, users monitor the areas of their interest by deploying low-cost and low-power sensor nodes. In addition, they can share the collected data following a social networking approach. uSense has been tested through an in-field experimentation performed in different areas of a city. The obtained results are in line with those provided by the local environmental control authority and show that uSense can be profitably used for air quality monitoring.

Robowell: An automated process for monitoring ground water quality using established sampling protocols

Science.gov (United States)

Granato, G.E.; Smith, K.P.

1999-01-01

Robowell is an automated process for monitoring selected ground water quality properties and constituents by pumping a well or multilevel sampler. Robowell was developed and tested to provide a cost-effective monitoring system that meets protocols expected for manual sampling. The process uses commercially available electronics, instrumentation, and hardware, so it can be configured to monitor ground water quality using the equipment, purge protocol, and monitoring well design most appropriate for the monitoring site and the contaminants of interest. A Robowell prototype was installed on a sewage treatment plant infiltration bed that overlies a well-studied unconfined sand and gravel aquifer at the Massachusetts Military Reservation, Cape Cod, Massachusetts, during a time when two distinct plumes of constituents were released. The prototype was operated from May 10 to November 13, 1996, and quality-assurance/quality-control measurements demonstrated that the data obtained by the automated method was equivalent to data obtained by manual sampling methods using the same sampling protocols. Water level, specific conductance, pH, water temperature, dissolved oxygen, and dissolved ammonium were monitored by the prototype as the wells were purged according to U.S Geological Survey (USGS) ground water sampling protocols. Remote access to the data record, via phone modem communications, indicated the arrival of each plume over a few days and the subsequent geochemical reactions over the following weeks. Real-time availability of the monitoring record provided the information needed to initiate manual sampling efforts in response to changes in measured ground water quality, which proved the method and characterized the screened portion of the plume in detail through time. The methods and the case study described are presented to document the process for future use.

Multidimensional fatigue and its correlates in hospitalised advanced cancer patients.

NARCIS (Netherlands)

Echteld, M.A.; Passchier, J.; Teunissen, S.; Claessen, S.; Wit, R. de; Rijt, C.C.D. van der

2007-01-01

Although fatigue is a multidimensional concept, multidimensional fatigue is rarely investigated in hospitalised cancer patients. We determined the levels and correlates of multidimensional fatigue in 100 advanced cancer patients admitted for symptom control. Fatigue dimensions were general fatigue

Water Quality & Pollutant Source Monitoring: Field and Laboratory Procedures. Training Manual.

Science.gov (United States)

Office of Water Program Operations (EPA), Cincinnati, OH. National Training and Operational Technology Center.

This training manual presents material on techniques and instrumentation used to develop data in field monitoring programs and related laboratory operations concerned with water quality and pollution monitoring. Topics include: collection and handling of samples; bacteriological, biological, and chemical field and laboratory methods; field…

A new method for wafer quality monitoring using semiconductor process big data

Science.gov (United States)

Sohn, Younghoon; Lee, Hyun; Yang, Yusin; Jun, Chungsam

2017-03-01

In this paper we proposed a new semiconductor quality monitoring methodology - Process Sensor Log Analysis (PSLA) - using process sensor data for the detection of wafer defectivity and quality monitoring. We developed exclusive key parameter selection algorithm and user friendly system which is able to handle large amount of big data very effectively. Several production wafers were selected and analyzed based on the risk analysis of process driven defects, for example alignment quality of process layers. Thickness of spin-coated material can be measured using PSLA without conventional metrology process. In addition, chip yield impact was verified by matching key parameter changes with electrical die sort (EDS) fail maps at the end of the production step. From this work, we were able to determine that process robustness and product yields could be improved by monitoring the key factors in the process big data.

Diatom-based water quality monitoring in southern Africa ...

African Journals Online (AJOL)

The purpose of this review is to summarise the challenges and future prospects associated with biological water quality monitoring using diatoms with special focus on southern Africa. Much work still needs to be carried out on diatom tolerances, ecological preferences and ecophysiology. It is recommended that past ...

Understanding Local Ecology: Syllabus for Monitoring Water Quality.

Science.gov (United States)

Iowa Univ., Iowa City.

This syllabus gives detailed information on monitoring water quality for teachers and students. It tells how to select a sample site; how to measure physical characteristics such as temperature, turbidity, and stream velocity; how to measure chemical parameters such as alkalinity, dissolved oxygen levels, phosphate levels, and ammonia nitrogen…

Intuitionistic fuzzy (IF) evaluations of multidimensional model

International Nuclear Information System (INIS)

Valova, I.

2012-01-01

There are different logical methods for data structuring, but no one is perfect enough. Multidimensional model-MD of data is presentation of data in a form of cube (referred also as info-cube or hypercube) with data or in form of 'star' type scheme (referred as multidimensional scheme), by use of F-structures (Facts) and set of D-structures (Dimensions), based on the notion of hierarchy of D-structures. The data, being subject of analysis in a specific multidimensional model is located in a Cartesian space, being restricted by D-structures. In fact, the data is either dispersed or 'concentrated', therefore the data cells are not distributed evenly within the respective space. The moment of occurrence of any event is difficult to be predicted and the data is concentrated as per time periods, location of performed business event, etc. To process such dispersed or concentrated data, various technical strategies are needed. The basic methods for presentation of such data should be selected. The approaches of data processing and respective calculations are connected with different options for data representation. The use of intuitionistic fuzzy evaluations (IFE) provide us new possibilities for alternative presentation and processing of data, subject of analysis in any OLAP application. The use of IFE at the evaluation of multidimensional models will result in the following advantages: analysts will dispose with more complete information for processing and analysis of respective data; benefit for the managers is that the final decisions will be more effective ones; enabling design of more functional multidimensional schemes. The purpose of this work is to apply intuitionistic fuzzy evaluations of multidimensional model of data. (authors)

Physical soil quality indicators for monitoring British soils

Science.gov (United States)

Corstanje, Ron; Mercer, Theresa G.; Rickson, Jane R.; Deeks, Lynda K.; Newell-Price, Paul; Holman, Ian; Kechavarsi, Cedric; Waine, Toby W.

2017-09-01

Soil condition or quality determines its ability to deliver a range of functions that support ecosystem services, human health and wellbeing. The increasing policy imperative to implement successful soil monitoring programmes has resulted in the demand for reliable soil quality indicators (SQIs) for physical, biological and chemical soil properties. The selection of these indicators needs to ensure that they are sensitive and responsive to pressure and change, e.g. they change across space and time in relation to natural perturbations and land management practices. Using a logical sieve approach based on key policy-related soil functions, this research assessed whether physical soil properties can be used to indicate the quality of British soils in terms of their capacity to deliver ecosystem goods and services. The resultant prioritised list of physical SQIs was tested for robustness, spatial and temporal variability, and expected rate of change using statistical analysis and modelling. Seven SQIs were prioritised: soil packing density, soil water retention characteristics, aggregate stability, rate of soil erosion, depth of soil, soil structure (assessed by visual soil evaluation) and soil sealing. These all have direct relevance to current and likely future soil and environmental policy and are appropriate for implementation in soil monitoring programmes.

Physical soil quality indicators for monitoring British soils

Directory of Open Access Journals (Sweden)

R. Corstanje

2017-09-01

Full Text Available Soil condition or quality determines its ability to deliver a range of functions that support ecosystem services, human health and wellbeing. The increasing policy imperative to implement successful soil monitoring programmes has resulted in the demand for reliable soil quality indicators (SQIs for physical, biological and chemical soil properties. The selection of these indicators needs to ensure that they are sensitive and responsive to pressure and change, e.g. they change across space and time in relation to natural perturbations and land management practices. Using a logical sieve approach based on key policy-related soil functions, this research assessed whether physical soil properties can be used to indicate the quality of British soils in terms of their capacity to deliver ecosystem goods and services. The resultant prioritised list of physical SQIs was tested for robustness, spatial and temporal variability, and expected rate of change using statistical analysis and modelling. Seven SQIs were prioritised: soil packing density, soil water retention characteristics, aggregate stability, rate of soil erosion, depth of soil, soil structure (assessed by visual soil evaluation and soil sealing. These all have direct relevance to current and likely future soil and environmental policy and are appropriate for implementation in soil monitoring programmes.

Quality assurance monitoring during nuclear fuel production in JSC 'TVEL'

International Nuclear Information System (INIS)

Filimonov, G.; Tchirkov, V.

2000-01-01

The paper describes Quality Assurance (QA) monitoring during fabrication of nuclear fuel in Russian Federation. Joint Stock Company 'TVEL', natural state monopoly of the type of holding that fabricates and supplies nuclear fuel for the NPPs of Russia, CIS and Europe, incorporates the major enterprises of the nuclear fuel cycle including JSC 'Mashinostroitelny zavod', Electrostal (fabrication of fuel pellets, rods and assemblies for different types of reactors), JSC 'Novosibirsky zavod khimconcentratov', Novosibirsk (fabrication of fuel rods and assemblies for WWER-440 and WWER-1000), JSC 'Tchepetsky mechanitchesky zavod', Tchepetsk (fabrication of Zr tubing). Monitoring of QA is an important element of Quality Management System (QMS) developed and implemented at the above-mentioned enterprises of the JSC 'TVEL' and it is performed on three levels including external and internal audits and author's supervision. Paper also describes short- and long-term policies of the JSC 'TVEL' in nuclear fuel quality field. (author)

The Danish air quality monitoring programme. Annual Summary for 2007

Energy Technology Data Exchange (ETDEWEB)

Kemp, K.; Ellemann, T.; Brandt, J.; Christensen, Jesper; Ketzel, M.; Solvang Jensen, S.

2008-07-15

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality Monitoring (LMP) network. The aim has been to follow the concentration levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the trends, to perform source apportionment, and to evaluate the chemical reactions and the dispersion of the pollutants in the atmosphere. In 2007 the air quality was measured in four Danish cities and at two background sites. Model calculations were also carried out to supplement the measurements. At several stations NO{sub 2} and PM{sub 10} were found in concentrations above EU limit values, which the Member States have to comply with in 2005 and 2010. The concentrations for most pollutants have been strongly decreasing since 1982, however, only a slight decrease has been observed for NO{sub 2} and O{sub 3}. (au)

The Danish air quality monitoring programme. Annual summary for 2008

Energy Technology Data Exchange (ETDEWEB)

Kemp, K.; Ellemann, T.; Brandt, J.; Christensen, Jesper; Ketzel, M.; Solvang Jensen, S.

2010-06-15

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality Monitoring (LMP) network. The aim has been to follow the concentration levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the trends, to perform source apportionment, and to evaluate the chemical reactions and the dispersion of the pollutants in the atmosphere. In 2007 the air quality was measured in four Danish cities and at two background sites. Model calculations were also carried out to supplement the measurements. At several stations NO{sub 2} and PM{sub 10} were found in concentrations above EU limit values, which the Member States have to comply with in 2005 and 2010. The concentrations for most pollutants have been strongly decreasing since 1982, however, only a slight decrease has been observed for NO{sub 2} and O{sub 3}. (author)

Data mining methods for quality assurance in an environmental monitoring network

NARCIS (Netherlands)

Athanasiadis, Ioannis N.; Rizzoli, Andrea Emilio; Beard, Daniel W.

2010-01-01

The paper presents a system architecture that employs data mining techniques for ensuring quality assurance in an environmental monitoring network. We investigate how data mining techniques can be incorporated in the quality assurance decision making process. As prior expert decisions are

Bacteriological monitoring and sustainable management of beach water quality in Malaysia: problems and prospects.

Science.gov (United States)

Dada, Ayokunle Christopher; Asmat, Ahmad; Gires, Usup; Heng, Lee Yook; Deborah, Bandele Oluwaseun

2012-04-28

Despite the growing demand of tourism in Malaysia, there are no resolute efforts to develop beaches as tourist destinations. With no incentives to monitor public beaches or to use them in a sustainable manner, they might eventually degenerate in quality as a result of influx of pollutants. This calls for concerted action plans with a view to promoting their sustainable use. The success of such plans is inevitably anchored on the availability of robust quality monitoring schemes. Although significant efforts have been channelled to collation and public disclosure of bacteriological quality data of rivers, beach water monitoring appears left out. This partly explains the dearth of published information related to beach water quality data. As part of an on-going nation-wide surveillance study on the bacteriological quality of recreational beaches, this paper draws on a situation analysis with a view to proffering recommendations that could be adapted for ensuring better beach water quality in Malaysia.

Bacteriological Monitoring and Sustainable Management of Beach Water Quality in Malaysia: Problems and Prospects

Science.gov (United States)

Dada, Ayokunle Christopher; Asmat, Ahmad; Gires, Usup; Heng, Lee Yook; Deborah, Bandele Oluwaseun

2012-01-01

Despite the growing demand of tourism in Malaysia, there are no resolute efforts to develop beaches as tourist destinations. With no incentives to monitor public beaches or to use them in a sustainable manner, they might eventually degenerate in quality as a result of influx of pollutants. This calls for concerted action plans with a view to promoting their sustainable use. The success of such plans is inevitably anchored on the availability of robust quality monitoring schemes. Although significant efforts have been channelled to collation and public disclosure of bacteriological quality data of rivers, beach water monitoring appears left out. This partly explains the dearth of published information related to beach water quality data. As part of an on-going nation-wide surveillance study on the bacteriological quality of recreational beaches, this paper draws on a situation analysis with a view to proffering recommendations that could be adapted for ensuring better beach water quality in Malaysia. PMID:22980239

Symbolic Multidimensional Scaling

NARCIS (Netherlands)

P.J.F. Groenen (Patrick); Y. Terada

2015-01-01

markdownabstract__Abstract__ Multidimensional scaling (MDS) is a technique that visualizes dissimilarities between pairs of objects as distances between points in a low dimensional space. In symbolic MDS, a dissimilarity is not just a value but can represent an interval or even a histogram. Here,

Quality control of the interpretation monitors of digital radiological images; Controle de qualidade dos monitores de interpretacao de imagens radiologicas digitais: uma revisao

Energy Technology Data Exchange (ETDEWEB)

Favero, Mariana S.; Goulart, Adriano Oliveira S., E-mail: mariana@phymed.com.br [PhyMED - Consultores em Fisica Medica e Radioprotecao Ltda, Porto Alegre, RS (Brazil)

2016-07-01

The performance monitors has great importance in image quality of digital radiographic systems. In environments without films, it became necessary to implement acceptance testing and quality control monitors used for interpretation of medical images. The monitors dedicated to radiodiagnostic should provide information that represent slight differences in x-ray attenuation or minor differences in some anatomical region of interest. This should also result in small differences in luminance of an image represented. Factors affecting the quality of medical imaging are contrast, noise, resolution, artifacts and distortions. Therefore, a monitor must have specific characteristics, making it possible for the observer to carry out an assessment that leads to better diagnosis. Based on the need to evaluate diagnostic monitors in various radiological applications, this paper presents a summary for implementation and standardization of tests that are recommended by the publication AAPM Report 03. (author)

St. John, USVI Water Quality Monitoring Data 2003 - Present

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — These water quality data are one of many studies being done to assess and monitor coral reef ecosystems. The intent of this work is three fold: (1) to spatially...

An Improved Multidimensional MPA Procedure for Bidirectional Earthquake Excitations

OpenAIRE

Wang, Feng; Sun, Jian-Gang; Zhang, Ning

2014-01-01

Presently, the modal pushover analysis procedure is extended to multidimensional analysis of structures subjected to multidimensional earthquake excitations. an improved multidimensional modal pushover analysis (IMMPA) method is presented in the paper in order to estimate the response demands of structures subjected to bidirectional earthquake excitations, in which the unidirectional earthquake excitation applied on equivalent SDOF system is replaced by the direct superposition of two compone...

The emergence and evolution of the multidimensional organization

NARCIS (Netherlands)

Strikwerda, J.; Stoelhorst, J.W.

2009-01-01

The article discusses multidimensional organizations and the evolution of complex organizations. The six characteristics of multidimensional organizations, disadvantages of the successful organizational structure that is categorized as a multidivisional, multi-unit or M-form, research by the

Monitoring water quality from LANDSAT. [satellite observation of Virginia

Science.gov (United States)

Barker, J. L.

1975-01-01

Water quality monitoring possibilities from LANDSAT were demonstrated both for direct readings of reflectances from the water and indirect monitoring of changes in use of land surrounding Swift Creek Reservoir in a joint project with the Virginia State Water Control Board and NASA. Film products were shown to have insufficient resolution and all work was done by digitally processing computer compatible tapes. Land cover maps of the 18,000 hectare Swift Creek Reservoir watershed, prepared for two dates in 1974, are shown. A significant decrease in the pine cover was observed in a 740 hectare construction site within the watershed. A measure of the accuracy of classification was obtained by comparing the LANDSAT results with visual classification at five sites on a U-2 photograph. Such changes in land cover can alert personnel to watch for potential changes in water quality.

EPA Office of Water (OW): STORET Water Quality Monitoring Stations Source Dataset

Data.gov (United States)

U.S. Environmental Protection Agency — Storage and Retrieval for Water Quality Data (STORET and the Water Quality Exchange, WQX) defines the methods and the data systems by which EPA compiles monitoring...

Perceptual Salience and Children's Multidimensional Problem Solving

Science.gov (United States)

Odom, Richard D.; Corbin, David W.

1973-01-01

Uni- and multidimensional processing of 6- to 9-year olds was studied using recall tasks in which an array of stimuli was reconstructed to match a model array. Results indicated that both age groups were able to solve multidimensional problems, but that solution rate was retarded by the unidimensional processing of highly salient dimensions.…

Optimal sensor configuration for flexible structures with multi-dimensional mode shapes

International Nuclear Information System (INIS)

Chang, Minwoo; Pakzad, Shamim N

2015-01-01

A framework for deciding the optimal sensor configuration is implemented for civil structures with multi-dimensional mode shapes, which enhances the applicability of structural health monitoring for existing structures. Optimal sensor placement (OSP) algorithms are used to determine the best sensor configuration for structures with a priori knowledge of modal information. The signal strength at each node is evaluated by effective independence and modified variance methods. Euclidean norm of signal strength indices associated with each node is used to expand OSP applicability into flexible structures. The number of sensors for each method is determined using the threshold for modal assurance criterion (MAC) between estimated (from a set of observations) and target mode shapes. Kriging is utilized to infer the modal estimates for unobserved locations with a weighted sum of known neighbors. A Kriging model can be expressed as a sum of linear regression and random error which is assumed as the realization of a stochastic process. This study presents the effects of Kriging parameters for the accurate estimation of mode shapes and the minimum number of sensors. The feasible ranges to satisfy MAC criteria are investigated and used to suggest the adequate searching bounds for associated parameters. The finite element model of a tall building is used to demonstrate the application of optimal sensor configuration. The dynamic modes of flexible structure at centroid are appropriately interpreted into the outermost sensor locations when OSP methods are implemented. Kriging is successfully used to interpolate the mode shapes from a set of sensors and to monitor structures associated with multi-dimensional mode shapes. (paper)

Using data from Multidimensional Pain Inventory subscales to assess functioning in pain rehabilitation

DEFF Research Database (Denmark)

Harlacher, Uwe; Persson, Ann L; Rivano-Fischer, Marcelo

2011-01-01

The aim of this study was to examine whether Multidimensional Pain Inventory (MPI) subscale score changes can be used for monitoring interdisciplinary cognitive behavioural pain rehabilitation programmes, using the Psychological General Well-Being (PGWB) index as an independent variable...... of rehabilitation outcome. Data from 434 consecutively referred patients disabled by chronic pain were analysed. The intervention was a 4-week interdisciplinary pain rehabilitation group programme (5 h/day), based on biopsychosocial and cognitive behavioural principles. Mean PGWB total scores improved after...... rehabilitation (P...

Water quality monitoring strategies - A review and future perspectives.

Science.gov (United States)

Behmel, S; Damour, M; Ludwig, R; Rodriguez, M J

2016-11-15

The reliable assessment of water quality through water quality monitoring programs (WQMPs) is crucial in order for decision-makers to understand, interpret and use this information in support of their management activities aiming at protecting the resource. The challenge of water quality monitoring has been widely addressed in the literature since the 1940s. However, there is still no generally accepted, holistic and practical strategy to support all phases of WQMPs. The purpose of this paper is to report on the use cases a watershed manager has to address to plan or optimize a WQMP from the challenge of identifying monitoring objectives; selecting sampling sites and water quality parameters; identifying sampling frequencies; considering logistics and resources to the implementation of actions based on information acquired through the WQMP. An inventory and critique of the information, approaches and tools placed at the disposal of watershed managers was proposed to evaluate how the existing information could be integrated in a holistic, user-friendly and evolvable solution. Given the differences in regulatory requirements, water quality standards, geographical and geological differences, land-use variations, and other site specificities, a one-in-all solution is not possible. However, we advance that an intelligent decision support system (IDSS) based on expert knowledge that integrates existing approaches and past research can guide a watershed manager through the process according to his/her site-specific requirements. It is also necessary to tap into local knowledge and to identify the knowledge needs of all the stakeholders through participative approaches based on geographical information systems and adaptive survey-based questionnaires. We believe that future research should focus on developing such participative approaches and further investigate the benefits of IDSS's that can be updated quickly and make it possible for a watershed manager to obtain a

Student satisfaction as an element of education quality monitoring in innovative higher education institution

Science.gov (United States)

Razinkina, Elena; Pankova, Ludmila; Trostinskaya, Irina; Pozdeeva, Elena; Evseeva, Lidiya; Tanova, Anna

2018-03-01

Topicality of the research is confirmed by increasing student involvement into the educational process, when not only the academic staff and administration participate in the improvement of higher education institution's activity, but also education customers - students. This adds a new dimension to the issue of monitoring education quality and student satisfaction with higher education. This issue echoes the ideas of M. Weber about the relationship between such components as cognitive motivation, personal development and student satisfaction with higher education. Besides, it is essential to focus on the approach of R. Barnet to defining the quality of education with the emphasis on a priority of development of an educational institution as the system that meets customers' needs. Monitoring student satisfaction with education quality has become an integral part of the educational process not only in a number of European universities, which have used this monitoring for decades, but also in Russian universities, which are interested in education quality improvement. Leading universities in Russia, including Peter the Great St. Petersburg Polytechnic University, are implementing policies targeted at increasing student satisfaction with higher education quality. Education quality monitoring as a key element in the system of providing feedback to students contributes greatly to this process.

Challenges for implementing water quality monitoring and analysis on a small Costa Rican catchment

Science.gov (United States)

Golcher, Christian; Cernesson, Flavie; Tournoud, Marie-George; Bonin, Muriel; Suarez, Andrea

2016-04-01

The Costa Rican water regulatory framework (WRF) (2007), expresses the national concern about the degradation of surface water quality observed in the country since several years. Given the urgency of preserving and restoring the surface water bodies, and facing the need of defining a monitoring tool to classify surface water pollution, the Costa-Rican WRF relies on two water quality indexes: the so-called "Dutch Index" (D.I) and the Biological Monitoring Working Party adapted to Costa Rica (BMWP'CR), allowing an "easy" physicochemical and biological appraisal of the water quality and the ecological integrity of water bodies. Herein, we intend to evaluate whether the compound of water quality indexes imposed by Costa Rican legislation, is suitable to assess rivers local and global anthropogenic pressure and environmental conditions. We monitor water quality for 7 points of Liberia River (northern pacific region - Costa Rica) from March 2013 to July 2015. Anthropogenic pressures are characterized by catchment land use and riparian conditions. Environmental conditions are built from rainfall daily series. Our results show (i) the difficulties to monitor new sites following the recent implementation of the WRF; (ii) the statistical characteristics of each index; and (iii) a modelling tentative of relationships between water quality indexes and explanatory factors (land-use, riparian characteristics and climate conditions).

A Conceptual Model for Multidimensional Analysis of Documents

Science.gov (United States)

Ravat, Franck; Teste, Olivier; Tournier, Ronan; Zurlfluh, Gilles

Data warehousing and OLAP are mainly used for the analysis of transactional data. Nowadays, with the evolution of Internet, and the development of semi-structured data exchange format (such as XML), it is possible to consider entire fragments of data such as documents as analysis sources. As a consequence, an adapted multidimensional analysis framework needs to be provided. In this paper, we introduce an OLAP multidimensional conceptual model without facts. This model is based on the unique concept of dimensions and is adapted for multidimensional document analysis. We also provide a set of manipulation operations.

Multidimensional Measurement of Poverty among Women in Sub-Saharan Africa

Science.gov (United States)

Batana, Yele Maweki

2013-01-01

Since the seminal work of Sen, poverty has been recognized as a multidimensional phenomenon. The recent availability of relevant databases renewed the interest in this approach. This paper estimates multidimensional poverty among women in fourteen Sub-Saharan African countries using the Alkire and Foster multidimensional poverty measures, whose…

Application of multidimensional IRT models to longitudinal data

NARCIS (Netherlands)

te Marvelde, J.M.; Glas, Cornelis A.W.; Van Landeghem, Georges; Van Damme, Jan

2006-01-01

The application of multidimensional item response theory (IRT) models to longitudinal educational surveys where students are repeatedly measured is discussed and exemplified. A marginal maximum likelihood (MML) method to estimate the parameters of a multidimensional generalized partial credit model

A data quality monitoring software framework for the BES Ⅲ experiment

International Nuclear Information System (INIS)

Hu Jifeng; Zheng Yangheng; Sun Xiaodong; Ji Xiaobin

2012-01-01

Data quality monitoring (DQM) plays an important role in data taking at the BES Ⅲ experiments. DQM is used to monitor detector status and data quality. A DQM framework (DQMF) has been developed to make it possible to reuse the BES Ⅲ offline reconstruction system in the online environment. In this framework, the DQMF can also simulate a virtual data taking environment, transfer events to the event display, publish histograms to a histogram presenter in a fixed interval, and dump histograms into a ROOT file. The DQMF has been stably running throughout BES Ⅲ data taking. (authors)

Multidimensional sexual perfectionism.

Science.gov (United States)

Stoeber, Joachim; Harvey, Laura N; Almeida, Isabel; Lyons, Emma

2013-11-01

Perfectionism is a multidimensional personality characteristic that can affect all areas of life. This article presents the first systematic investigation of multidimensional perfectionism in the domain of sexuality exploring the unique relationships that different forms of sexual perfectionism show with positive and negative aspects of sexuality. A sample of 272 university students (52 male, 220 female) completed measures of four forms of sexual perfectionism: self-oriented, partner-oriented, partner-prescribed, and socially prescribed. In addition, they completed measures of sexual esteem, sexual self-efficacy, sexual optimism, sex life satisfaction (capturing positive aspects of sexuality) and sexual problem self-blame, sexual anxiety, sexual depression, and negative sexual perfectionism cognitions during sex (capturing negative aspects). Results showed unique patterns of relationships for the four forms of sexual perfectionism, suggesting that partner-prescribed and socially prescribed sexual perfectionism are maladaptive forms of sexual perfectionism associated with negative aspects of sexuality whereas self-oriented and partner-oriented sexual perfectionism emerged as ambivalent forms associated with positive and negative aspects.

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

International Nuclear Information System (INIS)

Lu, Wei-Zhen; He, Hong-Di; Dong, Li-yun

2011-01-01

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 2 ), respirable suspended particulates (RSP) and nitrogen dioxide (NO 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)

Multidimensional real analysis I differentiation

CERN Document Server

Duistermaat, J J; van Braam Houckgeest, J P

2004-01-01

Part one of the authors' comprehensive and innovative work on multidimensional real analysis. This book is based on extensive teaching experience at Utrecht University and gives a thorough account of differential analysis in multidimensional Euclidean space. It is an ideal preparation for students who wish to go on to more advanced study. The notation is carefully organized and all proofs are clean, complete and rigorous. The authors have taken care to pay proper attention to all aspects of the theory. In many respects this book presents an original treatment of the subject and it contains man

Intelligent packaging for monitoring food quality: a case study on fresh fish

NARCIS (Netherlands)

Heising, J.K.

2014-01-01

Background

Foods are prone to quality degradation in the whole supply chain, but the possibilities for monitoring the quality of foods inside the package are limited. When sensors of quality indicators are included into the package of a food, the package can become an

Statistical Framework for Recreational Water Quality Criteria and Monitoring

DEFF Research Database (Denmark)

Halekoh, Ulrich

2008-01-01

recreational governmental authorities controlling water quality. The book opens with a historical account of water quality criteria in the USA between 1922 and 2003. Five chapters are related to sampling strategies and decision rules. Chapter 2 discusses the dependence of decision-making rules on short...... modeling exploiting additional information like meteorological data can support the decision process as shown in Chapter 10. The question of which information to extract from water sample analyses is closely related to the task of risk assessment for human health. Beach-water quality is often measured......Administrators of recreational waters face the basic tasks of surveillance of water quality and decisions on beach closure in case of unacceptable quality. Monitoring and subsequent decisions are based on sampled water probes and fundamental questions are which type of data to extract from...

Multidimensional First-Order Dominance Comparisons of Population Wellbeing

DEFF Research Database (Denmark)

Siersbæk, Nikolaj; Østerdal, Lars Peter Raahave; Arndt, Thomas Channing

2017-01-01

This chapter conveys the concept of first-order dominance (FOD) with particular focus on applications to multidimensional population welfare comparisons. It gives an account of the fundamental equivalent definitions of FOD both in the one-dimensional and multidimensional setting, illustrated...

Near-Port Air Quality Assessment Utilizing a Mobile Monitoring Approach

Data.gov (United States)

U.S. Environmental Protection Agency — Near-Port Air Quality Assessment Utilizing a Mobile Monitoring Approach. This dataset is associated with the following publication: Steffens, J., S. Kimbrough, R....

Analysis of a comprehensive quality assurance program with computer-enhanced monitors

International Nuclear Information System (INIS)

Arenson, R.L.; Mintz, M.C.; Goldstein, E.; Stevens, J.F.; Jovais, C.

1987-01-01

The authors' quality assurance (QA) program provides communication pathways among its constituent committees, which include patient care, professional review, medical staff, missed case, quality control, safety, and management committees. The QA monitors are based on data from these committees but also include data from the information management system, such as patient delays, contrast reactions, incidents, complications, time-flow analyses, film library retrieval, cancellations, missing reports, and missing clinical data. Committee data include complaints, missed diagnoses, patient identification problems, and equipment failure. The QA monitors have now been incorporated into summary reports as part of their computer networks. A systematic method for follow-up ensures corrective action and documentation. Examples of improved quality of care resulting from this approach includes reductions in delays for report signature and in repeat films

Image processing developments and applications for water quality monitoring and trophic state determination

International Nuclear Information System (INIS)

Blackwell, R.J.

1982-03-01

Remote sensing data analysis of water quality monitoring is evaluated. Data anaysis and image processing techniques are applied to LANDSAT remote sensing data to produce an effective operational tool for lake water quality surveying and monitoring. Digital image processing and analysis techniques were designed, developed, tested, and applied to LANDSAT multispectral scanner (MSS) data and conventional surface acquired data. Utilization of these techniques facilitates the surveying and monitoring of large numbers of lakes in an operational manner. Supervised multispectral classification, when used in conjunction with surface acquired water quality indicators, is used to characterize water body trophic status. Unsupervised multispectral classification, when interpreted by lake scientists familiar with a specific water body, yields classifications of equal validity with supervised methods and in a more cost effective manner. Image data base technology is used to great advantage in characterizing other contributing effects to water quality. These effects include drainage basin configuration, terrain slope, soil, precipitation and land cover characteristics

A New Era of Air Quality Monitoring from Space in East Asia: Korea's Geostationary Environmental Monitoring Spectrometer (GEMS) and an Integrated Korea-US Air Quality (KORUS-AQ) Study

Science.gov (United States)

Hong, J.; Hong, Y.; Song, C. K.; Kim, S. K.; Chang, L. S.; Lim, J.; Ahn, J.; Park, J. H.; Kim, J. Y.; Han, Y. J.; Kim, J.; Park, R.; Lee, G.; Lefer, B. L.; Al-Saadi, J. A.; Crawford, J. H.

2015-12-01

Due to remarkable economic growth over the last two decades, East Asia has become a region experiencing some of the poorest air quality in the world. In addition to local sources of pollution, the Korea peninsula is downwind of the largest emission sources in East Asia, complicating the understanding of air quality over Korea. Thus, knowing the factors controlling changes in air pollution across urban-rural and marine-continental interfaces, in addition to the contributions from local emissions and transboundary transport, is important for building effective management strategies and improving air quality in East Asia. GEMS (Geostationary Environmental Monitoring Spectrometer) is a satellite instrument planned for launch in 2019 by the Republic of Korea. The instrument will observe East Asia and the western Pacific region, providing real-time monitoring of air quality (e.g. O3, NO2, SO2, HCHO, AOD, etc.) and enabling better scientific understanding of the transboundary transport of air pollutants. The KORUS-AQ (the Korea and U.S. Air Quality) field campaign will take place in May - June 2016 and will employ an integrated observing strategy including multiplatform observations (i.e. ground stations, aircraft, ships, and satellites) and chemical transport models. This mission aims to not only strengthen our knowledge of atmospheric chemistry but also provide important data sets for validating GEMS retrieval algorithms. In preparation for KORUS-AQ, a pre-campaign has been successfully conducted in Korea during early summer 2015 with observations from multiple ground sites and a small aircraft. A brief summary of pre-field campaign results will be presented. Moving forward, the GEMS mission and KORUS-AQ study will lead to a new era of air quality monitoring in East Asia. GEMS will also make critical contributions to the global air quality perspective working in concert with geostationary missions launched by the U.S. (TEMPO: Tropospheric Emissions: Monitoring of

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

Air quality monitoring in the Canadian oil sands. Tests of new technology

Energy Technology Data Exchange (ETDEWEB)

Platt, Ulrich; Seitz, Katja; Buxmann, Joelle [Heidelberg Univ. (Germany). Inst. of Environmental Physics; Thimm, Harald F. [Thimm Petroleum Technologies Inc., Calgary (Canada)

2012-12-15

Modern bitumen recovery processes, such as Steam Assisted Gravity Drainage (SAGD), minimize the environmental footprint of oil recovery in terms of land disturbance and water demands. However, as a corollary, air monitoring becomes more difficult. In particular air quality monitoring for sulphur and nitrogen oxides, as currently practiced, suffers from significant limitations in remote regions, such as the Canadian Oil Sands Areas. Current techniques require the placement of monitoring trailers in accessible locations, but the electrical power or even access for optimal location for trailers is not always given. In addition, the trailers are capable of monitoring air quality only at the location of their deployment. There would be an advantage in deploying monitoring techniques that require minimal power (e.g. car battery, solar cell) and are capable of measuring air quality at a distance from the place of deployment. In the autumn of 2008, a trial of DOAS (Differential Optical Absorption Spectroscopy) was undertaken in Northern Alberta and Northern Saskatchewan, at four SAGD plants in various stages of development. Results of this study, and a discussion of the technology, will be given. Advantages and limitations of DOAS for deployment in Athabasca will be discussed. In general it was found that SO{sub 2} results showed remarkably low degrees of contamination, while NO{sub 2} concentrations were more noticeable. (orig.)

A multidimensional subdiffusion model: An arbitrage-free market

International Nuclear Information System (INIS)

Li Guo-Hua; Zhang Hong; Luo Mao-Kang

2012-01-01

To capture the subdiffusive characteristics of financial markets, the subordinated process, directed by the inverse α-stale subordinator S α (t) for 0 < α < 1, has been employed as the model of asset prices. In this article, we introduce a multidimensional subdiffusion model that has a bond and K correlated stocks. The stock price process is a multidimensional subdiffusion process directed by the inverse α-stable subordinator. This model describes the period of stagnation for each stock and the behavior of the dependency between multiple stocks. Moreover, we derive the multidimensional fractional backward Kolmogorov equation for the subordinated process using the Laplace transform technique. Finally, using a martingale approach, we prove that the multidimensional subdiffusion model is arbitrage-free, and also gives an arbitrage-free pricing rule for contingent claims associated with the martingale measure. (interdisciplinary physics and related areas of science and technology)

Quality Monitoring of Porous Zein Scaffolds: A Novel Biomaterial

Directory of Open Access Journals (Sweden)

Yue Zhang

2017-02-01

Full Text Available Our previous studies have shown that zein has good biocompatibility and good mechanical properties. The first product from a porous scaffold of zein, a resorbable bone substitute, has passed the biological evaluation of medical devices (ISO 10993 by the China Food and Drug Administration. However, Class III medical devices need quality monitoring before being placed on the market, and such monitoring includes quality control of raw materials, choice of sterilization method, and evaluation of biocompatibility. In this paper, we investigated four sources of zein through amino acid analysis (AAA and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE in order to monitor the composition and purity, and control the quality of raw materials. We studied the effect of three kinds of sterilization method on a porous zein scaffold by SDS-PAGE. We also compared the changes in SDS-PAGE patterns when irradiated with different doses of gamma radiation. We found that polymerization or breakage did not occur on peptide chains of zein during gamma-ray (γ-ray sterilization in the range of 20–30 kGy, which suggested that γ-ray sterilization is suitable for porous zein scaffolds. Regarding cell compatibility, we found a difference between using a 3-(4,5-dimethylthiazol-2-yl-2,5-diphenyl tetrazolium bromide (MTT assay and a cell-counting kit-8 (CCK-8 assay to assess cell proliferation on zein film, and concluded that the CCK-8 assay is more suitable, due to its low background optical density.

Multi-dimensional Laplace transforms and applications

International Nuclear Information System (INIS)

Mughrabi, T.A.

1988-01-01

In this dissertation we establish new theorems for computing certain types of multidimensional Laplace transform pairs from known one-dimensional Laplace transforms. The theorems are applied to the most commonly used special functions and so we obtain many two and three dimensional Laplace transform pairs. As applications, some boundary value problems involving linear partial differential equations are solved by the use of multi-dimensional Laplace transformation. Also we establish some relations between the Laplace transformation and other integral transformation in two variables

Processing and Quality Monitoring for the ATLAS Tile Hadronic Calorimeter Data

Science.gov (United States)

Burghgrave, Blake; ATLAS Collaboration

2017-10-01

An overview is presented of Data Processing and Data Quality (DQ) Monitoring for the ATLAS Tile Hadronic Calorimeter. Calibration runs are monitored from a data quality perspective and used as a cross-check for physics runs. Data quality in physics runs is monitored extensively and continuously. Any problems are reported and immediately investigated. The DQ efficiency achieved was 99.6% in 2012 and 100% in 2015, after the detector maintenance in 2013-2014. Changes to detector status or calibrations are entered into the conditions database (DB) during a brief calibration loop between the end of a run and the beginning of bulk processing of data collected in it. Bulk processed data are reviewed and certified for the ATLAS Good Run List if no problem is detected. Experts maintain the tools used by DQ shifters and the calibration teams during normal operation, and prepare new conditions for data reprocessing and Monte Carlo (MC) production campaigns. Conditions data are stored in 3 databases: Online DB, Offline DB for data and a special DB for Monte Carlo. Database updates can be performed through a custom-made web interface.

Comparison and Cost Analysis of Drinking Water Quality Monitoring Requirements versus Practice in Seven Developing Countries

OpenAIRE

Crocker, Jonny; Bartram, Jamie

2014-01-01

Drinking water quality monitoring programs aim to support provision of safe drinking water by informing water quality management. Little evidence or guidance exists on best monitoring practices for low resource settings. Lack of financial, human, and technological resources reduce a country’s ability to monitor water supply. Monitoring activities were characterized in Cambodia, Colombia, India (three states), Jordan, Peru, South Africa, and Uganda according to water sector responsibilities, ...

The SPS Beam quality monitor, from design to operation

CERN Document Server

Papotti, G; Follin, F; Shaposhnikova, E

2011-01-01

The SPS Beam Quality Monitor is a system that monitors longitudinal beam parameters on a cycle-by-cycle basis and prevents extraction to the LHC in case the specifications are not met. This avoids losses, unnecessary stress of machine protection components and luminosity degradation, additionally helping efficiency during the filling process. The system has been operational since the 2009 LHC run, checking the beam pattern, its correct position with respect to the LHC references, individual bunch lengths and stability. In this paper the algorithms used, the hardware implementation and the operational aspects are presented.

Longitudinal Beam measurements at the LHC: The LHC Beam Quality Monitor

CERN Document Server

Papotti, G; Follin, F; Wehrle, U

2011-01-01

The LHC Beam Quality Monitor is a system that measures individual bunch lengths and positions, similarly to the twin system SPS Beam Quality Monitor, from which it was derived. The pattern verification that the system provides is vital during the injection process to verify the correctness of the injected pattern, while the bunch length measurement is fed back to control the longitudinal emittance blow up performed during the energy ramp and provides a general indication of the health of the RF system. The algorithms used, the hardware implementation and the system integration in the LHC control infrastructure are presented in this paper, along with possible improvements.

Contributions to multidimensional quadrature formulas

International Nuclear Information System (INIS)

Guenther, C.

1976-11-01

The general objective of this paper is to construct multidimensional quadrature formulas similar to the Gaussian Quadrature Formulas in one dimension. The correspondence between these formulas and orthogonal and nonnegative polynomials is established. One part of the paper considers the construction of multidimensional quadrature formulas using only methods of algebraic geometry, on the other part it is tried to obtain results on quadrature formulas with real nodes and, if possible, with positive weights. The results include the existence of quadrature formulas, information on the number resp. on the maximum possible number of points in the formulas for given polynomial degree N and the construction of formulas. (orig.) [de

Monitoring and Assessment of Youshui River Water Quality in Youyang

Science.gov (United States)

Wang, Xue-qin; Wen, Juan; Chen, Ping-hua; Liu, Na-na

2018-02-01

By monitoring the water quality of Youshui River from January 2016 to December 2016, according to the indicator grading and the assessment standard of water quality, the formulas for 3 types water quality indexes are established. These 3 types water quality indexes, the single indicator index Ai, single moment index Ak and the comprehensive water quality index A, were used to quantitatively evaluate the quality of single indicator, the water quality and the change of water quality with time. The results show that, both total phosphorus and fecal coliform indicators exceeded the standard, while the other 16 indicators measured up to the standard. The water quality index of Youshui River is 0.93 and the grade of water quality comprehensive assessment is level 2, which indicated that the water quality of Youshui River is good, and there is room for further improvement. To this end, several protection measures for Youshui River environmental management and pollution treatment are proposed.

Quality assurance for external personnel monitoring in nuclear industrial facilities, CNNC

International Nuclear Information System (INIS)

Zhang Yansheng; Dai Jun; Li Taosheng

1993-01-01

More than 6000 personnel are currently being monitored for occupational exposure in CNNC, China. Personnel monitoring is one of the important items of radiation protection. The data of individual dose are not only indispensable for radiation safety assessment but also the basis for radiation protection measures to be taken. Possibly, it could provide basic information for epidemiological studies, optimization procedure of radiation protection (risk/benefit analyses) and medical or legal purposes. Obviously, personnel monitoring and its quality assurance are very significant

What contributes to long-term quality of life in breast cancer patients who are undergoing surgery? Results of a multidimensional study.

Science.gov (United States)

Wittmann, Victoria; Látos, Melinda; Horváth, Zoltán; Simonka, Zsolt; Paszt, Attila; Lázár, György; Csabai, Márta

2017-08-01

This study aims to examine the key determinants of long-term quality of life in breast cancer patients who are undergoing surgery using a multidimensional approach and taking into account preoperative and post-operative psychological characteristics such as anxiety, depression, posttraumatic growth, body image, and physical activity as well as medical parameters. The study involved 63 breast cancer patients from the Department of Surgery at the University of Szeged. Assessments occurred 1 day before surgery as well as 3 days and 18 months after surgery using the Spielberger State and Trait Anxiety Inventory (STAI), Beck's Depression Inventory (BDI), Functional Assessment of Cancer Therapy-Breast Cancer Scale (FACT-B), Posttraumatic Growth Inventory (PTGI) and Breast Impact of Treatment Scale (BITS). Data relating to physical activity, medical parameters and sociodemographic characteristics were also collected. The level of depression did not change over time. State anxiety decreased 18 months after the surgery compared to before the surgery; however, there was a greater decrease immediately after the surgery and then anxiety increased again 18 months later. Trait anxiety was associated with quality of life, posttraumatic growth and body image. Posttraumatic growth and the level of depression were found to be possible contributing factors to the increase in long-term quality of life. The results show that the timely detection and proper management of psychological distress and the enhancement of posttraumatic growth are of great value, as they might be important contributing factors to long-term quality of life in breast cancer patients.

Comparison and cost analysis of drinking water quality monitoring requirements versus practice in seven developing countries.

Science.gov (United States)

Crocker, Jonny; Bartram, Jamie

2014-07-18

Drinking water quality monitoring programs aim to support provision of safe drinking water by informing water quality management. Little evidence or guidance exists on best monitoring practices for low resource settings. Lack of financial, human, and technological resources reduce a country's ability to monitor water supply. Monitoring activities were characterized in Cambodia, Colombia, India (three states), Jordan, Peru, South Africa, and Uganda according to water sector responsibilities, monitoring approaches, and marginal cost. The seven study countries were selected to represent a range of low resource settings. The focus was on monitoring of microbiological parameters, such as E. coli, coliforms, and H2S-producing microorganisms. Data collection involved qualitative and quantitative methods. Across seven study countries, few distinct approaches to monitoring were observed, and in all but one country all monitoring relied on fixed laboratories for sample analysis. Compliance with monitoring requirements was highest for operational monitoring of large water supplies in urban areas. Sample transport and labor for sample collection and analysis together constitute approximately 75% of marginal costs, which exclude capital costs. There is potential for substantive optimization of monitoring programs by considering field-based testing and by fundamentally reconsidering monitoring approaches for non-piped supplies. This is the first study to look quantitatively at water quality monitoring practices in multiple developing countries.

Temporal variability in groundwater and surface water quality in humid agricultural catchments; Driving processes and consequences for regional water quality monitoring

NARCIS (Netherlands)

Rozemeijer, Joachim; Van Der Velde, Ype

2014-01-01

Considering the large temporal variability in surface water quality is essential for adequate water quality policy and management. Neglecting these dynamics may easily lead to decreased effectiveness of measures to improve water quality and to inefficient water quality monitoring. The objective of

Temporal variability in groundwater and surface water quality in humid agricultural catchments; driving processes and consequences for regional water quality monitoring

NARCIS (Netherlands)

Rozemeijer, J.; Velde, van der Y.

2014-01-01

Considering the large temporal variability in surface water quality is essential for adequate water quality policy and management. Neglecting these dynamics may easily lead to decreased effectiveness of measures to improve water quality and to inefficient water quality monitoring. The objective of

Carmel River Lagoon Enhancement Project: Water Quality and Aquatic Wildlife Monitoring, 2006-7

OpenAIRE

Perry, William; Watson, Fred; Casagrande, Joel; Hanley, Charles

2007-01-01

This is a report to the California Department of Parks and Recreation. It describes water quality and aquatic invertebrate monitoring after the construction of the Carmel River Lagoon Enhancement Project. Included are data that have been collected for two years and preliminary assessment of the enhanced ecosystem. This report marks the completion of 3-years of monitoring water quality and aquatic habitat. The report adopts the same format and certain background text from previous ...

CMS data quality monitoring web service

Energy Technology Data Exchange (ETDEWEB)

Tuura, L; Eulisse, G [Northeastern University, Boston, MA (United States); Meyer, A, E-mail: lat@cern.c, E-mail: giulio.eulisse@cern.c, E-mail: andreas.meyer@cern.c [DESY, Hamburg (Germany)

2010-04-01

A central component of the data quality monitoring system of the CMS experiment at the Large Hadron Collider is a web site for browsing data quality histograms. The production servers in data taking provide access to several hundred thousand histograms per run, both live in online as well as for up to several terabytes of archived histograms for the online data taking, Tier-0 prompt reconstruction, prompt calibration and analysis activities, for re-reconstruction at Tier-1s and for release validation. At the present usage level the servers currently handle in total around a million authenticated HTTP requests per day. We describe the main features and components of the system, our implementation for web-based interactive rendering, and the server design. We give an overview of the deployment and maintenance procedures. We discuss the main technical challenges and our solutions to them, with emphasis on functionality, long-term robustness and performance.

CMS data quality monitoring web service

International Nuclear Information System (INIS)

Tuura, L; Eulisse, G; Meyer, A

2010-01-01

A central component of the data quality monitoring system of the CMS experiment at the Large Hadron Collider is a web site for browsing data quality histograms. The production servers in data taking provide access to several hundred thousand histograms per run, both live in online as well as for up to several terabytes of archived histograms for the online data taking, Tier-0 prompt reconstruction, prompt calibration and analysis activities, for re-reconstruction at Tier-1s and for release validation. At the present usage level the servers currently handle in total around a million authenticated HTTP requests per day. We describe the main features and components of the system, our implementation for web-based interactive rendering, and the server design. We give an overview of the deployment and maintenance procedures. We discuss the main technical challenges and our solutions to them, with emphasis on functionality, long-term robustness and performance.

sampling plans for monitoring quality control process at a plastic

African Journals Online (AJOL)

Dr Obe

AT A PLASTIC MANUFACTURING FIRM IN NIGERIA: A CASE STUDY. By. E.A. Onyeagoro ... manufacture similar products, so that each company ... monitoring of production to maintain process ... concept of designing quality into product, with.

Quasi Real Time Data Analysis for Air Quality Monitoring with an Electronic Nose

Science.gov (United States)

Zhou, Hanying; Shevade, Abhijit V.; Pelletier, Christine C.; Homer, Margie L.; Ryan, M. Amy

2006-01-01

Cabin Air Quality Monitoring: A) Functions; 1) Incident monitor for targeted contaminants exceeding targeted concentrations. Identify and quantify. 2) Monitor for presence of compounds associated with fires or overheating electronics. 3) Monitor clean-up process. B) Characteristics; 1) Low mass, low power device. 2) Requires little crew time for maintenance and calibration. 3) Detects, identifies and quantifies selected chemical species at or below 24 hour SMAC.

Supervised and Unsupervised Learning of Multidimensional Acoustic Categories

Science.gov (United States)

Goudbeek, Martijn; Swingley, Daniel; Smits, Roel

2009-01-01

Learning to recognize the contrasts of a language-specific phonemic repertoire can be viewed as forming categories in a multidimensional psychophysical space. Research on the learning of distributionally defined visual categories has shown that categories defined over 1 dimension are easy to learn and that learning multidimensional categories is…

Air Quality Monitoring and Information System for Egypt

Energy Technology Data Exchange (ETDEWEB)

Sivertsen, B.

1996-06-01

The publication relates to the main objectives and design of a modern monitoring and information system developed in Norway. The system is to be installed in Egypt. Themes being discussed cover technical features of the system, meteorological data, environmental indicators, data transfer and quality assurance, the data bases, data presentation - graphics and GIS, and environmental information to the public. 11 figs., 1 tab.

Satisfaction monitoring for quality control in campground management

Science.gov (United States)

Wilbur F. LaPage; Malcolm I. Bevins

1981-01-01

A 4-year study of camper satisfaction indicates that satisfaction monitoring is a useful tool for campground managers to assess their performance and achieve a high level of quality control in their service to the public. An indication of camper satisfaction with campground management is gained from a report card on which a small sample of visitors rates 14 elements of...

A WEB-BASED SOLUTION TO VISUALIZE OPERATIONAL MONITORING LINUX CLUSTER FOR THE PROTODUNE DATA QUALITY MONITORING CLUSTER

CERN Document Server

Mosesane, Badisa

2017-01-01

The Neutrino computing cluster made of 300 Dell PowerEdge 1950 U1 nodes serves an integral role to the CERN Neutrino Platform (CENF). It represents an effort to foster fundamental research in the field of Neutrino physics as it provides data processing facility. We cannot begin to over emphasize the need for data quality monitoring coupled with automating system configurations and remote monitoring of the cluster. To achieve these, a software stack has been chosen to implement automatic propagation of configurations across all the nodes in the cluster. The bulk of these discusses and delves more into the automated configuration management system on this cluster to enable the fast online data processing and Data Quality (DQM) process for the Neutrino Platform cluster (npcmp.cern.ch).

The Satellite based Monitoring Initiative for Regional Air quality (SAMIRA): Project summary and first results

Science.gov (United States)

Schneider, Philipp; Stebel, Kerstin; Ajtai, Nicolae; Diamandi, Andrei; Horalek, Jan; Nemuc, Anca; Stachlewska, Iwona; Zehner, Claus

2017-04-01

We present a summary and some first results of a new ESA-funded project entitled Satellite based Monitoring Initiative for Regional Air quality (SAMIRA), which aims at improving regional and local air quality monitoring through synergetic use of data from present and upcoming satellite instruments, traditionally used in situ air quality monitoring networks and output from chemical transport models. Through collaborative efforts in four countries, namely Romania, Poland, the Czech Republic and Norway, all with existing air quality problems, SAMIRA intends to support the involved institutions and associated users in their national monitoring and reporting mandates as well as to generate novel research in this area. The primary goal of SAMIRA is to demonstrate the usefulness of existing and future satellite products of air quality for improving monitoring and mapping of air pollution at the regional scale. A total of six core activities are being carried out in order to achieve this goal: Firstly, the project is developing and optimizing algorithms for the retrieval of hourly aerosol optical depth (AOD) maps from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) onboard of Meteosat Second Generation. As a second activity, SAMIRA aims to derive particulate matter (PM2.5) estimates from AOD data by developing robust algorithms for AOD-to-PM conversion with the support from model- and Lidar data. In a third activity, we evaluate the added value of satellite products of atmospheric composition for operational European-scale air quality mapping using geostatistics and auxiliary datasets. The additional benefit of satellite-based monitoring over existing monitoring techniques (in situ, models) is tested by combining these datasets using geostatistical methods and demonstrated for nitrogen dioxide (NO2), sulphur dioxide (SO2), and aerosol optical depth/particulate matter. As a fourth activity, the project is developing novel algorithms for downscaling coarse

Characterization of appendage weld quality by on line monitoring of electrical parameters

Energy Technology Data Exchange (ETDEWEB)

Setty, D.S.; Somani, A.K.; Ram, A.M.; Rao, A.R.; Jayaraj, R.N.; Kalidas, R. [Nuclear Fuel Complex, Dept. of Atomic Energy, Hyderabad (India)

2005-07-01

Resistance projection welding of zirconium alloy appendages is one of the most critical processes in the PHWR fuel fabrication. Appendages like Spacers and Bearing pads having multi projections are joined to the fuel sheath using capacitor discharge power source. Variations in the projection sizes, weld parameters and cleanliness of the work pieces have significant effect on the weld quality, in addition to material properties like hardness, tensile strength and surface finish. Defects like metal expulsion and weak welds are occasionally observed in appendage welding process, which need to be identified and segregated. Though numerous off-line inspection methods are available for the weld quality evaluation, on-line monitoring of weld quality is essential for identifying defective welds. For this purpose, various monitoring techniques like acoustic emission, analyzing derived electrical parameters and weld upset/deformation measurements are employed. The derived electrical parameters like A{sup 2}-Sec and Ohm-Sec can also be monitored. The present paper highlights development of suitable acceptance criteria for the monitoring technique by employing derived electrical parameters covering a wide range of weld variables like watt-sec and squeeze force. Excellent correlation could be achieved in identifying the weak welds and weld expulsion defects in mass production. (author)

Landsat change detection can aid in water quality monitoring

Science.gov (United States)

Macdonald, H. C.; Steele, K. F.; Waite, W. P.; Shinn, M. R.

1977-01-01

Comparison between Landsat-1 and -2 imagery of Arkansas provided evidence of significant land use changes during the 1972-75 time period. Analysis of Arkansas historical water quality information has shown conclusively that whereas point source pollution generally can be detected by use of water quality data collected by state and federal agencies, sampling methodologies for nonpoint source contamination attributable to surface runoff are totally inadequate. The expensive undertaking of monitoring all nonpoint sources for numerous watersheds can be lessened by implementing Landsat change detection analyses.

The Danish air quality monitoring programme. Annual summary for 2012

Energy Technology Data Exchange (ETDEWEB)

Ellermann, T.; Klenoe Noejgaard, J.; Nordstroem, C.; Brandt, J.; Christensen, Jesper; Ketzel, M.; Jansen, S.; Massling, A.; Solvang Jensen, S.

2013-10-15

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality Monitoring network. The aim is to follow the concentration levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the trends, to perform source apportionment, and to understand the governing processes that determine the level of air pollution in Denmark. In 2012 the air quality was measured in four Danish cities and at two background sites. In addition model calculations were carried out to supplement the measurements. At one street station (H.C. Andersens Boulevard) in Copenhagen NO{sub 2} was found in concentrations above EU limit values while NO{sub 2} levels in Odense, Aarhus and Aalborg were below the limit value. Model calculations indicate exceedances of NO{sub 2} limit values at several streets in Copenhagen. Annual averages of PM{sub 10} and PM{sub 2.5} were below limit values at all stations. The concentrations for most pollutants have been decreasing during the last decades. (Author)

The future of monitoring in clinical research - a holistic approach: linking risk-based monitoring with quality management principles.

Science.gov (United States)

Ansmann, Eva B; Hecht, Arthur; Henn, Doris K; Leptien, Sabine; Stelzer, Hans Günther

2013-01-01

Since several years risk-based monitoring is the new "magic bullet" for improvement in clinical research. Lots of authors in clinical research ranging from industry and academia to authorities are keen on demonstrating better monitoring-efficiency by reducing monitoring visits, monitoring time on site, monitoring costs and so on, always arguing with the use of risk-based monitoring principles. Mostly forgotten is the fact, that the use of risk-based monitoring is only adequate if all mandatory prerequisites at site and for the monitor and the sponsor are fulfilled.Based on the relevant chapter in ICH GCP (International Conference on Harmonisation of technical requirements for registration of pharmaceuticals for human use - Good Clinical Practice) this publication takes a holistic approach by identifying and describing the requirements for future monitoring and the use of risk-based monitoring. As the authors are operational managers as well as QA (Quality Assurance) experts, both aspects are represented to come up with efficient and qualitative ways of future monitoring according to ICH GCP.

Quality assurance of environmental gamma radiation monitoring in Slovenia

International Nuclear Information System (INIS)

Stuhec, M.; Zorko, B.; Mitic, D.; Miljanic, S.; Ranogajec-Komor, M.

2006-01-01

Environmental gamma radiation monitoring established in Slovenia consists of a network of multifunctional gamma monitors (MFMs) based on pairs of Geiger-Mueller counters and a network of measuring sites with high-sensitive thermoluminescence dosemeters. The measuring points are evenly spread across Slovenia, located at the meteorological stations and more densely on additional locations around the Krsko NPP. The MFM network has a 2-fold function with one sensor used for the purpose of early warning system in near surroundings of the NPP and the other, more sensitive, for natural radiation monitoring. The paper summarises activities to establish quality assurance of the environmental gamma radiation measurements in Slovenia, with a critical view of the results in comparison with the international standards and recommendations. While the results of linearity and energy dependence tests were satisfying, on-field intercomparison showed that the inherent signal of one of the monitors (MFM) has to be taken into account in the range of environmental background radiation. (authors)

GIS Mapping and Monitoring of Cellular Communication Quality in Terms of Crowdsourcing

Directory of Open Access Journals (Sweden)

Zanozin Viktor Valeryevich

2015-09-01

Full Text Available At the present day the monitoring of mobile services quality is carried out in the framework of the internal audit of the enterprise communications. The Federal Service for Supervision of Communications, Information Technology and Mass Communications (Roskomnadzor does not yet have high-quality assurance techniques of services and conducts partial spot checks on the basis of existing normative legal acts (NLA. One of cellular communication quality monitoring method is Netmonitoring. Netmonitoring, as one of the possible types of quality control services provided by mobile operators, is described in this article. Netmonitoring is provided in the Astrakhan city on the Kirova street, Savushkina street, Kubanskya street, Magistralnaya street and other large streets of the city. There are more than 150 cellular level measurements. Netmonitoring is based on crowdsourcing and mobile mapping. Mobile mapping is the process of collecting geospatial data using mapping sensors mounted on a mobile platform. The search of base stations was carried out by means of such programs as Netmonitoring, Network Signal Info and Antennas. The resulting data, namely the network code, “cell ID” and local area code, were used for geo-information programs creation. The experience in designing KML and Visual Basic languages programs Netmonitoring and AstraNetMonitoring is described in this paper.

A Framework for Evaluating the Software Product Quality of Pregnancy Monitoring Mobile Personal Health Records.

Science.gov (United States)

Idri, Ali; Bachiri, Mariam; Fernández-Alemán, José Luis

2016-03-01

Stakeholders' needs and expectations are identified by means of software quality requirements, which have an impact on software product quality. In this paper, we present a set of requirements for mobile personal health records (mPHRs) for pregnancy monitoring, which have been extracted from literature and existing mobile apps on the market. We also use the ISO/IEC 25030 standard to suggest the requirements that should be considered during the quality evaluation of these mPHRs. We then go on to design a checklist in which we contrast the mPHRs for pregnancy monitoring requirements with software product quality characteristics and sub-characteristics in order to calculate the impact of these requirements on software product quality, using the ISO/IEC 25010 software product quality standard. The results obtained show that the requirements related to the user's actions and the app's features have the most impact on the external sub-characteristics of the software product quality model. The only sub-characteristic affected by all the requirements is Appropriateness of Functional suitability. The characteristic Operability is affected by 95% of the requirements while the lowest degrees of impact were identified for Compatibility (15%) and Transferability (6%). Lastly, the degrees of the impact of the mPHRs for pregnancy monitoring requirements are discussed in order to provide appropriate recommendations for the developers and stakeholders of mPHRs for pregnancy monitoring.

Data Quality Objectives Supporting Radiological Air Emissions Monitoring for the PNNL Site

Energy Technology Data Exchange (ETDEWEB)

Barnett, J. Matthew; Meier, Kirsten M.; Snyder, Sandra F.; Fritz, Brad G.; Poston, Ted M.; Rhoads, Kathleen

2010-05-25

This document of Data Quality Objectives (DQOs) was prepared based on the U.S. Environmental Protection Agency (EPA) Guidance on Systematic Planning Using the Data Quality Objectives Process, EPA, QA/G4, 2/2006 (EPA 2006) as well as several other published DQOs. Pacific Northwest National Laboratory (PNNL) is in the process of developing a radiological air monitoring program for the PNNL Site that is distinct from that of the nearby Hanford Site. Radiological emissions at the PNNL Site result from Physical Sciences Facility (PSF) major emissions units. A team was established to determine how the PNNL Site would meet federal regulations and address guidelines developed to monitor and estimate offsite air emissions of radioactive materials. The result is a program that monitors the impact to the public from the PNNL Site.

Application of data fusion techniques and technologies for wearable health monitoring.

Science.gov (United States)

King, Rachel C; Villeneuve, Emma; White, Ruth J; Sherratt, R Simon; Holderbaum, William; Harwin, William S

2017-04-01

Technological advances in sensors and communications have enabled discrete integration into everyday objects, both in the home and about the person. Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being. Wearable sensors are at the cusp of becoming truly pervasive, and could be woven into the clothes and accessories that we wear such that they become ubiquitous and transparent. To interpret the complex multidimensional information provided by these sensors, data fusion techniques are employed to provide a meaningful representation of the sensor outputs. This paper is intended to provide a short overview of data fusion techniques and algorithms that can be used to interpret wearable sensor data in the context of health monitoring applications. The application of these techniques are then described in the context of healthcare including activity and ambulatory monitoring, gait analysis, fall detection, and biometric monitoring. A snap-shot of current commercially available sensors is also provided, focusing on their sensing capability, and a commentary on the gaps that need to be bridged to bring research to market. Copyright © 2017. Published by Elsevier Ltd.

ATP measurements for monitoring microbial drinking water quality

DEFF Research Database (Denmark)

Vang, Óluva Karin

Current standard methods for surveillance of microbial drinking water quality are culture based, which are laborious and time-consuming, where results not are available before one to three days after sampling. This means that the water may have been consumed before results on deteriorated water....... The overall aim of this PhD study was to investigate various methodological features of the ATP assay for a potential implementation on a sensor platform as a real-time parameter for continuous on-line monitoring of microbial drinking water quality. Commercial reagents are commonly used to determine ATP......, microbial quality in distributed water, detection of aftergrowth, biofilm formation etc. This PhD project demonstrated that ATP levels are relatively low and fairly stable in drinking water without chlorine residual despite different sampling locations, different drinking water systems and time of year...

EPA Office of Water (OW): STORET Water Quality Monitoring Stations NHDPlus Indexed Dataset

Data.gov (United States)

U.S. Environmental Protection Agency — Storage and Retrieval for Water Quality Data (STORET and the Water Quality Exchange, WQX) defines the methods and the data systems by which EPA compiles monitoring...

Successful integration efforts in water quality from the integrated Ocean Observing System Regional Associations and the National Water Quality Monitoring Network

Science.gov (United States)

Ragsdale, R.; Vowinkel, E.; Porter, D.; Hamilton, P.; Morrison, R.; Kohut, J.; Connell, B.; Kelsey, H.; Trowbridge, P.

2011-01-01

The Integrated Ocean Observing System (IOOS??) Regional Associations and Interagency Partners hosted a water quality workshop in January 2010 to discuss issues of nutrient enrichment and dissolved oxygen depletion (hypoxia), harmful algal blooms (HABs), and beach water quality. In 2007, the National Water Quality Monitoring Council piloted demonstration projects as part of the National Water Quality Monitoring Network (Network) for U.S. Coastal Waters and their Tributaries in three IOOS Regional Associations, and these projects are ongoing. Examples of integrated science-based solutions to water quality issues of major concern from the IOOS regions and Network demonstration projects are explored in this article. These examples illustrate instances where management decisions have benefited from decision-support tools that make use of interoperable data. Gaps, challenges, and outcomes are identified, and a proposal is made for future work toward a multiregional water quality project for beach water quality.

Internal quality control program for individual monitoring service

Energy Technology Data Exchange (ETDEWEB)

Mauricio, Claudia L.P.; Moura Junior, Jose; Patrao, Karla C.S. [Instituto de Radioprotecao e Dosimetria (IRD/CNEN-RJ), Rio de Janeiro, RJ (Brazil)]. E-mail: claudia@ird.gov.br; moura@ird.gov.br; karla@ird.gov.br

2007-07-01

With a focus on continuous improvement, since 2002, a special internal procedure for following and checking the performance of our individual monitoring services has been implemented. A fictitious installation, named 'Fantasma' has been created, initially, with 4 film badges and 7 thermoluminescent dosimetric ring users. Since 2005, this quality control program includes also the albedo neutron individual monitoring service. Monthly, the 'Fantasma' test monitors are irradiated by traceable Cs-137 and Am-Be sources. The calibration quantities are: the photon dose equivalent (H{sub x}) for the photographic individual monitor, the maximum dose equivalent (MADE) for the albedo neutron individual monitor and the personal dose equivalent at 0.07 mm depth (H{sub p}(0.07)) for ring monitor. Up to now, all results show compliance with the specific trumpet curves acceptance limits. Once, a small sub-evaluation tendency has been noted and this information was used to improve the film system. For the photographic film system, the evaluated value to reference dose ratios range from 0.71 to 1.12, with a mean value of 0.91 {+-} 0.12. For the ring system, the ratio ranges from 0.69 to 1.40, with a mean value of 1.02 {+-} 0.07. For the neutron system, which presents intrinsic larger uncertainties, the ratio ranged from 0.67 to 1.88, with mean value of 1.16 {+-} 0.27. (author)

Comparison and Cost Analysis of Drinking Water Quality Monitoring Requirements versus Practice in Seven Developing Countries

Directory of Open Access Journals (Sweden)

Jonny Crocker

2014-07-01

Full Text Available Drinking water quality monitoring programs aim to support provision of safe drinking water by informing water quality management. Little evidence or guidance exists on best monitoring practices for low resource settings. Lack of financial, human, and technological resources reduce a country’s ability to monitor water supply. Monitoring activities were characterized in Cambodia, Colombia, India (three states, Jordan, Peru, South Africa, and Uganda according to water sector responsibilities, monitoring approaches, and marginal cost. The seven study countries were selected to represent a range of low resource settings. The focus was on monitoring of microbiological parameters, such as E. coli, coliforms, and H2S-producing microorganisms. Data collection involved qualitative and quantitative methods. Across seven study countries, few distinct approaches to monitoring were observed, and in all but one country all monitoring relied on fixed laboratories for sample analysis. Compliance with monitoring requirements was highest for operational monitoring of large water supplies in urban areas. Sample transport and labor for sample collection and analysis together constitute approximately 75% of marginal costs, which exclude capital costs. There is potential for substantive optimization of monitoring programs by considering field-based testing and by fundamentally reconsidering monitoring approaches for non-piped supplies. This is the first study to look quantitatively at water quality monitoring practices in multiple developing countries.

System-Aware Smart Network Management for Nano-Enriched Water Quality Monitoring

Directory of Open Access Journals (Sweden)

B. Mokhtar

2016-01-01

Full Text Available This paper presents a comprehensive water quality monitoring system that employs a smart network management, nano-enriched sensing framework, and intelligent and efficient data analysis and forwarding protocols for smart and system-aware decision making. The presented system comprises two main subsystems, a data sensing and forwarding subsystem (DSFS, and Operation Management Subsystem (OMS. The OMS operates based on real-time learned patterns and rules of system operations projected from the DSFS to manage the entire network of sensors. The main tasks of OMS are to enable real-time data visualization, managed system control, and secure system operation. The DSFS employs a Hybrid Intelligence (HI scheme which is proposed through integrating an association rule learning algorithm with fuzzy logic and weighted decision trees. The DSFS operation is based on profiling and registering raw data readings, generated from a set of optical nanosensors, as profiles of attribute-value pairs. As a case study, we evaluate our implemented test bed via simulation scenarios in a water quality monitoring framework. The monitoring processes are simulated based on measuring the percentage of dissolved oxygen and potential hydrogen (PH in fresh water. Simulation results show the efficiency of the proposed HI-based methodology at learning different water quality classes.

Real-time water quality monitoring at a Great Lakes National Park

Science.gov (United States)

Byappanahalli, Muruleedhara; Nevers, Meredith; Shively, Dawn; Spoljaric, Ashley; Otto, Christopher

2018-01-01

Quantitative polymerase chain reaction (qPCR) was used by the USEPA to establish new recreational water quality criteria in 2012 using the indicator bacteria enterococci. The application of this method has been limited, but resource managers are interested in more timely monitoring results. In this study, we evaluated the efficacy of qPCR as a rapid, alternative method to the time-consuming membrane filtration (MF) method for monitoring water at select beaches and rivers of Sleeping Bear Dunes National Lakeshore in Empire, MI. Water samples were collected from four locations (Esch Road Beach, Otter Creek, Platte Point Bay, and Platte River outlet) in 2014 and analyzed for culture-based (MF) and non-culture-based (i.e., qPCR) endpoints using Escherichia coli and enterococci bacteria. The MF and qPCR enterococci results were significantly, positively correlated overall (r = 0.686, p Water quality standard exceedances based on enterococci levels by qPCR were lower than by MF method: 3 and 16, respectively. Based on our findings, we conclude that qPCR may be a viable alternative to the culture-based method for monitoring water quality on public lands. Rapid, same-day results are achievable by the qPCR method, which greatly improves protection of the public from water-related illnesses.

Implementation of quality control systematics for personnel monitoring services

International Nuclear Information System (INIS)

Franco, J.O.A.

1984-01-01

The implementation of statistical quality control techniques used in industrial practise is proposed to dosimetric services. 'Control charts' and 'sampling inspection' are adapted respectively for control of measuring process and of dose results produced in routine. A chapter on Radiation Protection and Personnel Monitoring was included. (M.A.C.) [pt

La Parguera, Puerto Rico Water Quality Monitoring Data 2003 - Present

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — These water quality data are one of many studies being done to assess and monitor coral reef ecosystems. The intent of this work is three fold: (1) to spatially...

[Multidimensional measurement of precarious employment: social distribution and its association with health in Catalonia (Spain)].

Science.gov (United States)

Benach, Joan; Julià, Mireia; Tarafa, Gemma; Mir, Jordi; Molinero, Emilia; Vives, Alejandra

2015-01-01

To show the prevalence of precarious employment in Catalonia (Spain) for the first time and its association with mental and self-rated health, measured with a multidimensional scale. A cross-sectional study was conducted using data from the II Catalan Working Conditions Survey (2010) with a subsample of employed workers with a contract. The prevalence of precarious employment using a multidimensional scale and its association with health was calculated using multivariate log-binomial regression stratified by gender. The prevalence of precarious employment in Catalonia was high (42.6%). We found higher precariousness in women, youth, immigrants, and manual and less educated workers. There was a positive gradient in the association between precarious employment and poor health. Precarious employment is associated with poor health in the working population. Working conditions surveys should include questions on precarious employment and health indicators, which would allow monitoring and subsequent analyses of health inequalities. Copyright © 2015 SESPAS. Published by Elsevier Espana. All rights reserved.

Monitoring air quality in Southeast Alaska’s National Parks and Forests: Linking atmospheric pollutants with ecological effects

Science.gov (United States)

D. Schirokauer; L. Geiser; A. Bytnerowicz; M. Fenn; K. Dillman

2014-01-01

Air quality and air quality related values are important resources to the National Park Service (NPS) units and Wilderness areas in northern Southeast Alaska. Air quality monitoring was prioritized as a high-priority Vital Sign at the Southeast Alaska Network’s (SEAN) Inventory and Monitoring Program’s terrestrial scoping workshop (Derr and Fastie 2006). Air quality...

Crowd-sourcing with Uncertain Quality

DEFF Research Database (Denmark)

Papakonstantinou, Athanasios; Bogetoft, Peter

This article addresses two important issues in crowd-sourcing: ex ante uncertainty about the quality and cost of different workers and strategic behaviour. We present a novel multi-dimensional auction that incentivises the workers to make partial enquiry into the task and to honestly report quality...

A Distributed Multi-dimensional SOLAP Model of Remote Sensing Data and Its Application in Drought Analysis

Directory of Open Access Journals (Sweden)

LI Jiyuan

2014-06-01

Full Text Available SOLAP (Spatial On-Line Analytical Processing has been applied to multi-dimensional analysis of remote sensing data recently. However, its computation performance faces a considerable challenge from the large-scale dataset. A geo-raster cube model extended by Map-Reduce is proposed, which refers to the application of Map-Reduce (a data-intensive computing paradigm in the OLAP field. In this model, the existing methods are modified to adapt to distributed environment based on the multi-level raster tiles. Then the multi-dimensional map algebra is introduced to decompose the SOLAP computation into multiple distributed parallel map algebra functions on tiles under the support of Map-Reduce. The drought monitoring by remote sensing data is employed as a case study to illustrate the model construction and application. The prototype is also implemented, and the performance testing shows the efficiency and scalability of this model.

Robust GPS autonomous signal quality monitoring

Science.gov (United States)

Ndili, Awele Nnaemeka

The Global Positioning System (GPS), introduced by the U.S. Department of Defense in 1973, provides unprecedented world-wide navigation capabilities through a constellation of 24 satellites in global orbit, each emitting a low-power radio-frequency signal for ranging. GPS receivers track these transmitted signals, computing position to within 30 meters from range measurements made to four satellites. GPS has a wide range of applications, including aircraft, marine and land vehicle navigation. Each application places demands on GPS for various levels of accuracy, integrity, system availability and continuity of service. Radio frequency interference (RFI), which results from natural sources such as TV/FM harmonics, radar or Mobile Satellite Systems (MSS), presents a challenge in the use of GPS, by posing a threat to the accuracy, integrity and availability of the GPS navigation solution. In order to use GPS for integrity-sensitive applications, it is therefore necessary to monitor the quality of the received signal, with the objective of promptly detecting the presence of RFI, and thus provide a timely warning of degradation of system accuracy. This presents a challenge, since the myriad kinds of RFI affect the GPS receiver in different ways. What is required then, is a robust method of detecting GPS accuracy degradation, which is effective regardless of the origin of the threat. This dissertation presents a new method of robust signal quality monitoring for GPS. Algorithms for receiver autonomous interference detection and integrity monitoring are demonstrated. Candidate test statistics are derived from fundamental receiver measurements of in-phase and quadrature correlation outputs, and the gain of the Active Gain Controller (AGC). Performance of selected test statistics are evaluated in the presence of RFI: broadband interference, pulsed and non-pulsed interference, coherent CW at different frequencies; and non-RFI: GPS signal fading due to physical blockage and

Construction and application of an intelligent air quality monitoring system for healthcare environment.

Science.gov (United States)

Yang, Chao-Tung; Liao, Chi-Jui; Liu, Jung-Chun; Den, Walter; Chou, Ying-Chyi; Tsai, Jaw-Ji

2014-02-01

Indoor air quality monitoring in healthcare environment has become a critical part of hospital management and policy. Manual air sampling and analysis are cost-inhibitive and do not provide real-time air quality data and response measures. In this month-long study over 14 sampling locations in a public hospital in Taiwan, we observed a positive correlation between CO(2) concentration and population, total bacteria, and particulate matter concentrations, thus monitoring CO(2) concentration as a general indicator for air quality could be a viable option. Consequently, an intelligent environmental monitoring system consisting of a CO(2)/temperature/humidity sensor, a digital plug, and a ZigBee Router and Coordinator was developed and tested. The system also included a backend server that received and analyzed data, as well as activating ventilation and air purifiers when CO(2) concentration exceeded a pre-set value. Alert messages can also be delivered to offsite users through mobile devices.

The CMS Tracker Data Quality Monitoring Expert GUI

CERN Document Server

Palmonari, Francesco

2009-01-01

The CMS Tracker data quality monitoring (DQM) is a demanding task due the detector's high granularity. It consists of about 15148 strip and 1440 pixel detector modules. About 350,000 histograms are defined and filled accessing information from different stages of data reconstruction to check the data quality. It is impossible to manage such a large number of histograms by shift personnel and experts. A tracker specific Graphical User Interface (GUI) is developed to simplify the navigation and to spot detector problems efficiently. The GUI is web-based and implemented with Ajax technology. We will describe the framework and the specific features of the expert GUI developed for the CMS Tracker DQM system.

Quality Assurance for a TLD Based Individual Monitoring Service (invited paper)

Energy Technology Data Exchange (ETDEWEB)

Julius, H.W.; Van Dijk, J.W.E. [Arnhem (Netherlands)

1999-07-01

Approved Individual Monitoring Services should, in addition to complying with specific national performance requirements, also have implemented a quality assurance (QA) and quality control (QC) programme as an integral part of the operation. Essential elements of a QA/QC programme are discussed. Some practical hints and examples of QA practices are given, focussing on the application of thermoluminescence dosimetry. (author)

Quality Assurance in Individual Monitoring: 10 Years of Performance Monitoring of the TLD Based TNO Individual Monitoring Service (invited paper)

Energy Technology Data Exchange (ETDEWEB)

Dijk, J.W.E. van

1998-07-01

The QA subscription forms the nucleus of the Quality Assurance (QA) programme of the TLD-based Individual Monitoring Service of TNO-CSD. This QA subscription is the subscription of a dummy customer to the service. As this customer is treated exactly like a normal customer, all aspects of the service are monitored by the QA subscription. An overview is given of 10 years of monitoring the performance of the service. Various improvements over the past decade have resulted in a standard deviation in a low dose measurement of 0.01 mSv and a relative standard deviation at higher doses of 5%. These figures represent the performance under routine circumstances and thus include variations due to variations in the natural background from place to place and, for example, due to transport. (author)

Quality Assurance in Individual Monitoring: 10 Years of Performance Monitoring of the TLD Based TNO Individual Monitoring Service (invited paper)

International Nuclear Information System (INIS)

Dijk, J.W.E. van

1998-01-01

The QA subscription forms the nucleus of the Quality Assurance (QA) programme of the TLD-based Individual Monitoring Service of TNO-CSD. This QA subscription is the subscription of a dummy customer to the service. As this customer is treated exactly like a normal customer, all aspects of the service are monitored by the QA subscription. An overview is given of 10 years of monitoring the performance of the service. Various improvements over the past decade have resulted in a standard deviation in a low dose measurement of 0.01 mSv and a relative standard deviation at higher doses of 5%. These figures represent the performance under routine circumstances and thus include variations due to variations in the natural background from place to place and, for example, due to transport. (author)

Improving personality facet scores with multidimensional computer adaptive testing

DEFF Research Database (Denmark)

Makransky, Guido; Mortensen, Erik Lykke; Glas, Cees A W

2013-01-01

personality tests contain many highly correlated facets. This article investigates the possibility of increasing the precision of the NEO PI-R facet scores by scoring items with multidimensional item response theory and by efficiently administering and scoring items with multidimensional computer adaptive...

Air quality monitoring programme. Annual summary for 2004

Energy Technology Data Exchange (ETDEWEB)

Kemp, K.; Ellermann, T.; Palmgren, F.; Waehlin, P.; Berkowicz, R. Brandt. j.

2005-07-15

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality (LMP) network. The aim has been to follow the concentration levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the trends, to perform source apportionment, and to evaluate the chemical reactions and the dispersion of the pollutants in the atmosphere. In 2004 the air quality was measured in four Danish cities and at two background sites. NO{sup 2} and PM10 were at several stations found in concentrations above EU limit values, which the Member States have to comply with in 2005 and 2010. While the concentrations for most other pollutants have been strongly decreasing since 1982, only a slight decrease has been observed for NO{sup 2}. The measurement has been supplemented with dispersion models for a number of streets in Copenhagen and Aalborg. (au)

Event-Driven Messaging for Offline Data Quality Monitoring at ATLAS

CERN Document Server

Onyisi, Peter; The ATLAS collaboration

2015-01-01

During LHC Run 1, the information flow through the offline data quality monitoring in ATLAS relied heavily on chains of processes polling each other's outputs for handshaking purposes. This resulted in a fragile architecture with many possible points of failure and an inability to monitor the overall state of the distributed system. We report on the status of a project undertaken during the LHC shutdown to replace the ad hoc synchronization methods with a uniform message queue system. This enables the use of standard protocols to connect processes on multiple hosts; reliable transmission of messages between possibly unreliable programs; easy monitoring of the information flow; and the removal of inefficient polling-based communication.

Multi-Dimensional Aggregation for Temporal Data

DEFF Research Database (Denmark)

Böhlen, M. H.; Gamper, J.; Jensen, Christian Søndergaard

2006-01-01

Business Intelligence solutions, encompassing technologies such as multi-dimensional data modeling and aggregate query processing, are being applied increasingly to non-traditional data. This paper extends multi-dimensional aggregation to apply to data with associated interval values that capture...... that the data holds for each point in the interval, as well as the case where the data holds only for the entire interval, but must be adjusted to apply to sub-intervals. The paper reports on an implementation of the new operator and on an empirical study that indicates that the operator scales to large data...

Quality assurance of radiation protection monitoring instruments in India

International Nuclear Information System (INIS)

Tripathi, S.M.; Daniel, Liji; Rao, Suresh; Sharma, D.N.

2008-01-01

Bhabha Atomic Research Centre (BARC) is the National Metrology Institute (NMI) for developing, maintaining and disseminating standards for ionizing radiation in India. Radiation Safety Systems Division (RSSD) of BARC has the requisite infrastructure in the form of experts, trained manpower, laboratories, equipment and facilities for providing calibration services to users and ascertaining traceability to international standards. It periodically participates in various international inter-comparisons. RSSD maintains reference radiation fields that are required for calibrating Radiation Protection Monitoring Instruments that form the backbone of the radiation monitoring programme for harnessing the benefits of nuclear energy and ionizing radiations. These instruments are type-tested and periodically calibrated at standard reference radiation fields to ensure their healthy working condition and fitness for their intended use. This paper describes the details of the standardization procedures adopted for reference radiation fields and infrastructure established and maintained at RSSD, BARC in accordance with the recommendations of ISO-4037. The paper describes the various tests that are carried out for radiation protection monitoring instrument to study the variation of the calibration factor with influencing quantities like linearity of response, energy response, angular dependence and overload characteristics. The results of these tests for typical instruments are also discussed. The present work also describes various types of indigenously developed radiation protection monitoring instruments and their performance characteristics. Adaptability of these instruments for the implementation of operational quantities are discussed briefly. It also dwells on the IAEA Quality Audit for radiation protection level calibrations, which RSSD has been participating since 2001. Our results of the quality audit are well within the acceptance limit (±7%) set by IAEA for the

A reliable sewage quality abnormal event monitoring system.

Science.gov (United States)

Li, Tianling; Winnel, Melissa; Lin, Hao; Panther, Jared; Liu, Chang; O'Halloran, Roger; Wang, Kewen; An, Taicheng; Wong, Po Keung; Zhang, Shanqing; Zhao, Huijun

2017-09-15

With closing water loop through purified recycled water, wastewater becomes a part of source water, requiring reliable wastewater quality monitoring system (WQMS) to manage wastewater source and mitigate potential health risks. However, the development of reliable WQMS is fatally constrained by severe contamination and biofouling of sensors due to the hostile analytical environment of wastewaters, especially raw sewages, that challenges the limit of existing sensing technologies. In this work, we report a technological solution to enable the development of WQMS for real-time abnormal event detection with high reliability and practicality. A vectored high flow hydrodynamic self-cleaning approach and a dual-sensor self-diagnostic concept are adopted for WQMS to effectively encounter vital sensor failing issues caused by contamination and biofouling and ensure the integrity of sensing data. The performance of the WQMS has been evaluated over a 3-year trial period at different sewage catchment sites across three Australian states. It has demonstrated that the developed WQMS is capable of continuously operating in raw sewage for a prolonged period up to 24 months without maintenance and failure, signifying the high reliability and practicality. The demonstrated WQMS capability to reliably acquire real-time wastewater quality information leaps forward the development of effective wastewater source management system. The reported self-cleaning and self-diagnostic concepts should be applicable to other online water quality monitoring systems, opening a new way to encounter the common reliability and stability issues caused by sensor contamination and biofouling. Copyright © 2017 Elsevier Ltd. All rights reserved.

The Tunneling Method for Global Optimization in Multidimensional Scaling.

Science.gov (United States)

Groenen, Patrick J. F.; Heiser, Willem J.

1996-01-01

A tunneling method for global minimization in multidimensional scaling is introduced and adjusted for multidimensional scaling with general Minkowski distances. The method alternates a local search step with a tunneling step in which a different configuration is sought with the same STRESS implementation. (SLD)

Locations of Sampling Stations for Water Quality Monitoring in Water Distribution Networks.

Science.gov (United States)

Rathi, Shweta; Gupta, Rajesh

2014-04-01

Water quality is required to be monitored in the water distribution networks (WDNs) at salient locations to assure the safe quality of water supplied to the consumers. Such monitoring stations (MSs) provide warning against any accidental contaminations. Various objectives like demand coverage, time for detection, volume of water contaminated before detection, extent of contamination, expected population affected prior to detection, detection likelihood and others, have been independently or jointly considered in determining optimal number and location of MSs in WDNs. "Demand coverage" defined as the percentage of network demand monitored by a particular monitoring station is a simple measure to locate MSs. Several methods based on formulation of coverage matrix using pre-specified coverage criteria and optimization have been suggested. Coverage criteria is defined as some minimum percentage of total flow received at the monitoring stations that passed through any upstream node included then as covered node of the monitoring station. Number of monitoring stations increases with the increase in the value of coverage criteria. Thus, the design of monitoring station becomes subjective. A simple methodology is proposed herein which priority wise iteratively selects MSs to achieve targeted demand coverage. The proposed methodology provided the same number and location of MSs for illustrative network as an optimization method did. Further, the proposed method is simple and avoids subjectivity that could arise from the consideration of coverage criteria. The application of methodology is also shown on a WDN of Dharampeth zone (Nagpur city WDN in Maharashtra, India) having 285 nodes and 367 pipes.

A study of multidimensional modeling approaches for data warehouse

Science.gov (United States)

Yusof, Sharmila Mat; Sidi, Fatimah; Ibrahim, Hamidah; Affendey, Lilly Suriani

2016-08-01

Data warehouse system is used to support the process of organizational decision making. Hence, the system must extract and integrate information from heterogeneous data sources in order to uncover relevant knowledge suitable for decision making process. However, the development of data warehouse is a difficult and complex process especially in its conceptual design (multidimensional modeling). Thus, there have been various approaches proposed to overcome the difficulty. This study surveys and compares the approaches of multidimensional modeling and highlights the issues, trend and solution proposed to date. The contribution is on the state of the art of the multidimensional modeling design.

The water-quality monitoring program for the Baltimore reservoir system, 1981-2007—Description, review and evaluation, and framework integration for enhanced monitoring

Science.gov (United States)

Koterba, Michael T.; Waldron, Marcus C.; Kraus, Tamara E.C.

2011-01-01

The City of Baltimore, Maryland, and parts of five surrounding counties obtain their water from Loch Raven and Liberty Reservoirs. A third reservoir, Prettyboy, is used to resupply Loch Raven Reservoir. Management of the watershed conditions for each reservoir is a shared responsibility by agreement among City, County, and State jurisdictions. The most recent (2005) Baltimore Reservoir Watershed Management Agreement (RWMA) called for continued and improved water-quality monitoring in the reservoirs and selected watershed tributaries. The U.S. Geological Survey (USGS) conducted a retrospective review of the effectiveness of monitoring data obtained and analyzed by the RWMA jurisdictions from 1981 through 2007 to help identify possible improvements in the monitoring program to address RWMA water-quality concerns. Long-term water-quality concerns include eutrophication and sedimentation in the reservoirs, and elevated concentrations of (a) nutrients (nitrogen and phosphorus) being transported from the major tributaries to the reservoirs, (b) iron and manganese released from reservoir bed sediments during periods of deep-water anoxia, (c) mercury in higher trophic order game fish in the reservoirs, and (d) bacteria in selected reservoir watershed tributaries. Emerging concerns include elevated concentrations of sodium, chloride, and disinfection by-products (DBPs) in the drinking water from both supply reservoirs. Climate change and variability also could be emerging concerns, affecting seasonal patterns, annual trends, and drought occurrence, which historically have led to declines in reservoir water quality. Monitoring data increasingly have been used to support the development of water-quality models. The most recent (2006) modeling helped establish an annual sediment Total Maximum Daily Load to Loch Raven Reservoir, and instantaneous and 30-day moving average water-quality endpoints for chlorophyll-a (chl-a) and dissolved oxygen (DO) in Loch Raven and Prettyboy

Amperometric Gas Sensors as a Low Cost Emerging Technology Platform for Air Quality Monitoring Applications: A Review.

Science.gov (United States)

Baron, Ronan; Saffell, John

2017-11-22

This review examines the use of amperometric electrochemical gas sensors for monitoring inorganic gases that affect urban air quality. First, we consider amperometric gas sensor technology including its development toward specifically designed air quality sensors. We then review recent academic and research organizations' studies where this technology has been trialed for air quality monitoring applications: early studies showed the potential of electrochemical gas sensors when colocated with reference Air Quality Monitoring (AQM) stations. Spatially dense networks with fast temporal resolution provide information not available from sparse AQMs with longer recording intervals. We review how this technology is being offered as commercial urban air quality networks and consider the remaining challenges. Sensors must be sensitive, selective, and stable; air quality monitors/nodes must be electronically and mechanically well designed. Data correction is required and models with differing levels of sophistication are being designed. Data analysis and validation is possibly the biggest remaining hurdle needed to deliver reliable concentration readings. Finally, this review also considers the roles of companies, urban infrastructure requirements, and public research in the development of this technology.

Regulatory requirements and quality assurance of radiation monitoring instruments

International Nuclear Information System (INIS)

Narasimharao, K.L.; Sharma, Ranjit

2005-01-01

The successful utilisation of radiation sources in the fields of medicine and industry requires the accurate measurement of activity, exposure rate and dose. Many varieties of instruments are in use for measurement of these parameters and new ones are being developed. The criteria for the design of the radiation monitoring instrument include the type and intensity of the radiation, purpose of measurement and ruggedness of the instrument. Quality and reliability of radiation monitoring instruments ensure that individuals are adequately protected. Accuracy, response time and ruggedness are required to be as per the approved/ prescribed guidelines. Regulatory authorities outline the design and performance criteria for radiation monitoring instruments and prescribe the recommendations of international agencies such as IAEA, ICRU and ISO for radiological measurement assurance programme. National Standards Laboratories all over the world prescribe procedures for calibration of various radiation monitoring instruments. The instruments should be calibrated as per these guidelines and should be traceable to national standards. The calibration traceable to national/ international standards and documentation as well as limits stipulated by the competent authority ensures the expected performance of the instrument. (author)

Automatised Data Quality Monitoring of the LHCb Vertex Locator

CERN Multimedia

Szumlak, Tomasz

2016-01-01

The LHCb Vertex Locator (VELO) is a silicon strip semiconductor detector operating at just 8mm distance to the LHC beams. Its 172,000 strips are read at a frequency of 1 MHz and processed by off-detector FPGAs followed by a PC cluster that reduces the event rate to about 10 kHz. During the second run of the LHC, which lasts from 2015 until 2018, the detector performance will undergo continued change due to radiation damage effects. This necessitates a detailed monitoring of the data quality to avoid adverse effects on the physics analysis performance. The VELO monitoring infrastructure has been re-designed compared to the first run of the LHC when it was based on manual checks. The new system is based around an automatic analysis framework, which monitors the performance of new data as well as long-term trends and flags issues whenever they arise. An unbiased subset of the detector data are processed about once per hour by monitoring algorithms. The new analysis framework then analyses the plots that are prod...

Model based monitoring of stormwater runoff quality

DEFF Research Database (Denmark)

Birch, Heidi; Vezzaro, Luca; Mikkelsen, Peter Steen

2012-01-01

the information obtained about MPs discharged from the monitored system. A dynamic stormwater quality model was calibrated using MP data collected by volume-proportional and passive sampling in a storm drainage system in the outskirts of Copenhagen (Denmark) and a 10-year rain series was used to find annual...... average and maximum event mean concentrations. Use of this model reduced the uncertainty of predicted annual average concentrations compared to a simple stochastic method based solely on data. The predicted annual average obtained by using passive sampler measurements (one month installation...

Water quality monitoring of Jialing-River in Chongqing using advanced ion chromatographic system.

Science.gov (United States)

Tanaka, Kazuhiko; Shi, Chao-Hong; Nakagoshi, Nobukazu

2012-04-01

The water quality monitoring operation to evaluate the water quality of polluted river is an extremely important task for the river-watershed management/control based on the environmental policy. In this study, the novel, simple and convenient water quality monitoring of Jialing-River in Chongqing, China was carried out using an advanced ion chromatography (IC) consisting of ion-exclusion/cation-exchange chromatography (IEC/CEC) with conductivity detection for determining simultaneously the common anions such as SO4(2-), Cl(-), and NO3(-) and the cations such as Na+, NH4+, K+, Mg2+, and Ca2+, the ion-exclusion chromatography (IEC) with visible detection for determining simultaneously the nutrient components such as phosphate and silicate ions, and the IEC with the enhanced conductivity detection using a post column of K+-form cation-exchange resin for determining HCO3(-)-alkalinity as an inorganic-carbon source for biomass synthesis in biological reaction process under the aerobic conditions. According to the ionic balance theory between the total equivalent concentrations of anions and cations, the water quality evaluation of the Jialing-River waters taking at different sampling sites in Chongqing metropolitan area was carried out using the advanced IC system. As a result, the effectiveness of this novel water quality monitoring methodology using the IC system was demonstrated on the several practical applications to a typical biological sewage treatment plant on Jialing-River of Chongqing.

Fatigue and multidimensional disease severity in chronic obstructive pulmonary disease

Directory of Open Access Journals (Sweden)

Inal-Ince Deniz

2010-06-01

Full Text Available Abstract Background and aims Fatigue is associated with longitudinal ratings of health in patients with chronic obstructive pulmonary disease (COPD. Although the degree of airflow obstruction is often used to grade disease severity in patients with COPD, multidimensional grading systems have recently been developed. The aim of this study was to investigate the relationship between perceived and actual fatigue level and multidimensional disease severity in patients with COPD. Materials and methods Twenty-two patients with COPD (aged 52-74 years took part in the study. Multidimensional disease severity was measured using the SAFE and BODE indices. Perceived fatigue was assessed using the Fatigue Severity Scale (FSS and the Fatigue Impact Scale (FIS. Peripheral muscle endurance was evaluated using the number of sit-ups, squats, and modified push-ups that each patient could do. Results Thirteen patients (59% had severe fatigue, and their St George's Respiratory Questionnaire scores were significantly higher (p Conclusions Peripheral muscle endurance and fatigue perception in patients with COPD was related to multidimensional disease severity measured with both the SAFE and BODE indices. Improvements in perceived and actual fatigue levels may positively affect multidimensional disease severity and health status in COPD patients. Further research is needed to investigate the effects of fatigue perception and exercise training on patients with different stages of multidimensional COPD severity.

Multidimensional nonlinear descriptive analysis

CERN Document Server

Nishisato, Shizuhiko

2006-01-01

Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sampled randomly from a normal population and often involve nonlinear relations. This reference not only provides an overview of multidimensional nonlinear descriptive analysis (MUNDA) of discrete data, it also offers new results in a variety of fields. The first part of the book covers conceptual and technical preliminaries needed to understand the data analysis in subsequent chapters. The next two parts contain applications of MUNDA to diverse data types, with each chapter devoted to one type of categorical data, a brief historical comment, and basic skills peculiar to the data types. The final part examines several problems and then concludes with suggestions for futu...

Regulatory quality control in the metal and semi metal environmental monitoring program at IPEN/CNEN-SP

International Nuclear Information System (INIS)

Faustino, Mainara G.; Silva, Doulgas Batista; Monteiro, Lucilena R.; Dantas, Elizabeth S.K.; Pires, Maria Aparecida F.; Cotrim, Marycel E.B.

2013-01-01

The CONAMA's Resolution 430 recently published in May 13 th of 2011, that completes and modifies the Resolution 357/2005, defined new quality standards to perform liquid effluent monitoring essays in order to allow the release in the public sewer system. This Resolution has established that the essay laboratories must be certified by Brazilian National Metrology, Normalization and Industrial Quality Institute - INMETRO and also count with an implemented quality control system. Thereby this publication affected directly IPEN's Environmental Monitoring Program of Stables Chemical Compound (PMA-Q), performed since 2007. In this program, 20 parameters related to the metallic and non-metallic chemical elements content are monitored by using sensitive analytical techniques such as graphite furnace atomic absorption spectrometry - GF-AAS or inductively coupled plasma spectrometry - ICP-OES. Therefore this paper presents improvements to determine the laboratory individual performance performed by GF-AAS and ICP-OES. To achieve the legislation compliance for these parameters, the following actions were implemented: the construction of control charts (internal quality control) and the participation of the laboratory in interlaboratory proficiency tests (external quality control). These actions are presented and discussed with the results of elements such as Arsenic and Lead that are analyzed through GF-AAS as well as Chromium, Cooper, Zinc, Iron and Nickel, that are analyzed through ICP-OES. These actions of quality control allowed the continuous monitoring of laboratory performance, the identification and resolution of analytic problems and interlaboratory differences, provide additional confidence to monitoring program. (author)

Quality in mathematics teachers training syllabuses

OpenAIRE

Rico, Luis; Gil, Francisco; Moreno, María Francisca; Romero, Isabel; González, María José; Gómez, Pedro; Lupiáñez, José Luis

2004-01-01

The purpose of this study is to design instruments to measure the quality of prospective mathematics teachers training plans, within the Spanish context. We conceive the quality of a syllabus as a multidimensional concept that can be articulated by means of dimensions and competences.

Monitoring health related quality of life in adolescents with diabetes

DEFF Research Database (Denmark)

de Wit, M; Delemarre-van de Waal, Henriette A; Pouwer, F

2007-01-01

Particularly in chronic conditions, monitoring health related quality of life (HRQoL) of adolescents in clinical practice is increasingly advocated. We set out to identify and review the clinical utility of available generic and diabetes specific HRQoL questionnaires suitable for use in adolescents...

Commissioning of the ALICE-LHC online data quality monitoring framework

International Nuclear Information System (INIS)

Roukoutakis, Filimon; Haller, Barthelemy von

2009-01-01

ALICE is one of the experiments installed at CERN Large Hadron Collider, dedicated to the study of heavy-ion collisions. The final ALICE data acquisition system has been installed and is being used for the testing and commissioning of detectors. Data Quality Monitoring (DQM) is an important aspect of the online procedures for a HEP experiment. In this presentation we overview the commissioning and the integration of ALICE's AMORE (Automatic MOnitoRing Environment), a custom-written distributed application aimed at providing DQM services in a large, experiment-wide scale.

Multidimensional Physical Self-Concept of Athletes with Physical Disabilities

Science.gov (United States)

Shapiro, Deborah R.; Martin, Jeffrey J.

2010-01-01

The purposes of this investigation were first to predict reported PA (physical activity) behavior and self-esteem using a multidimensional physical self-concept model and second to describe perceptions of multidimensional physical self-concept (e.g., strength, endurance, sport competence) among athletes with physical disabilities. Athletes (N =…

Multidimensional improvements induced by an intensive obesity inpatients rehabilitation programme.

Science.gov (United States)

Giordano, Francesca; Berteotti, Michela; Budui, Simona; Calgaro, Nicole; Franceschini, Laura; Gilli, Federica; Masiero, Marina; Raschellà, Guido; Salvetti, Sabrina; Taddei, Micol; Schena, Federico; Busetto, Luca

2017-06-01

To analyse the short-term effectiveness of an intensive multidimensional inpatient programme specifically developed for patients with severe obesity. A multidisciplinary team managed a 3-week residential programme characterised by the integration of nutritional and physical rehabilitation with psychological and educational intervention. All patients consecutively admitted in 10 months were analysed at admission and discharge for changes in the following domains: anthropometry (weight, body mass index (BMI), waist and neck circumferences), cardiovascular risk factors (glycaemia, HbA1c, lipid profile, blood pressure), quality of life, eating behaviour, and physical performance (VO 2peak by incremental cycle ergometer test, 6-min walking test (6MWT), chair stands test). 136 subjects (61% females, median age 52.7 years) with obesity (mean BMI 43.2 kg/m 2 ) and multiple comorbidities were analysed. A 3.9% BMI reduction and a reduction in waist (-3.8%) and neck (-3.3%) circumferences were observed. Glycaemic control was achieved in 68% of patients with uncontrolled diabetes at admission. Blood pressure control was achieved in all patients with uncontrolled hypertension at admission. Total cholesterol (-16%), LDL-cholesterol (-19%) and triglycerides (-9%) were significantly reduced. Psychometric assessment showed improvements in quality of life perception and binge eating disorder. Finally, a significant improvement in physical performance (+4.7% improvement in VO 2peak , with longer distances in 6MWT and a higher number of standings) was observed. Our preliminary data prove that a 3-week programme determined a clinically significant multi-dimensional improvement in patients with severe obesity. Long-term follow-up data are needed to confirm the efficacy of our rehabilitation setting.

Earth Observation Data Quality Monitoring and Control: A Case Study of STAR Central Data Repository

Science.gov (United States)

Han, W.; Jochum, M.

2017-12-01

Earth observation data quality is very important for researchers and decision makers involved in weather forecasting, severe weather warning, disaster and emergency response, environmental monitoring, etc. Monitoring and control earth observation data quality, especially accuracy, completeness, and timeliness, is very useful in data management and governance to optimize data flow, discover potential transmission issues, and better connect data providers and users. Taking a centralized near real-time satellite data repository, STAR (Center for Satellite Applications and Research of NOAA) Central Data Repository (SCDR), as an example, this paper describes how to develop new mechanism to verify data integrity, check data completeness, and monitor data latency in an operational data management system. Such quality monitoring and control of large volume satellite data help data providers and managers improve data transmission of near real-time satellite data, enhance its acquisition and management, and overcome performance and management issues to better serve research and development activities.

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.

A Wireless Sensor Network-Based Approach with Decision Support for Monitoring Lake Water Quality.

Science.gov (United States)

Huang, Xiaoci; Yi, Jianjun; Chen, Shaoli; Zhu, Xiaomin

2015-11-19

Online monitoring and water quality analysis of lakes are urgently needed. A feasible and effective approach is to use a Wireless Sensor Network (WSN). Lake water environments, like other real world environments, present many changing and unpredictable situations. To ensure flexibility in such an environment, the WSN node has to be prepared to deal with varying situations. This paper presents a WSN self-configuration approach for lake water quality monitoring. The approach is based on the integration of a semantic framework, where a reasoner can make decisions on the configuration of WSN services. We present a WSN ontology and the relevant water quality monitoring context information, which considers its suitability in a pervasive computing environment. We also propose a rule-based reasoning engine that is used to conduct decision support through reasoning techniques and context-awareness. To evaluate the approach, we conduct usability experiments and performance benchmarks.

Development of Multidimensional Gap Conductance model using Virtual Link Gap Element

Energy Technology Data Exchange (ETDEWEB)

Kim, Hyo Chan; Yang, Yong Sik; Kim, Dae Ho; Bang, Je Geon; Kim, Sun Ki; Koo, Yang Hyun [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

2013-10-15

The gap conductance that determines temperature gradient between pellet and cladding can be quite sensitive to gap thickness. For instance, once the gap size increases up to several micrometers in certain region, difference of pellet surface temperatures increases up to 100 Kelvin. Therefore, iterative thermo-mechanical coupled analysis is required to solve temperature distribution throughout pellet and cladding. Recently, multidimensional fuel performance codes have been being developed in the advanced countries to evaluate thermal behavior of fuel for off normal conditions and DBA(design based accident) conditions using the Finite Element Method (FEM). FRAPCON-FRAPTRAN code system, which is well known as the verified and reliable code, incorporates 1D thermal module and multidimensional mechanical module. In this code, multidimensional gap conductance model is not applied. ALCYONE developed by CEA introduces equivalent heat convection coefficient that represents multidimensional gap conductance as a function of gap thickness. BISON, which is multidimensional fuel performance code developed by INL, owns multidimensional gap conductance model using projected thermal contact. In general, thermal contact algorithm is nonlinear calculation which is expensive approach numerically. The gap conductance model for multi-dimension is difficult issue in terms of convergence and nonlinearity because gap conductance is function of gap thickness which depends on mechanical analysis at each iteration step. In this paper, virtual link gap (VLG) element has been proposed to resolve convergence issue and nonlinear characteristic of multidimensional gap conductance. In terms of calculation accuracy and convergence efficiency, the proposed VLG model was evaluated. LWR fuel performance codes should incorporate thermo-mechanical loop to solve gap conductance problem, iteratively. However, gap conductance in multidimensional model is difficult issue owing to its nonlinearity and

An Approach for Quality of Service Management

National Research Council Canada - National Science Library

Lee, Chen

1998-01-01

... (in terms of customizable and expressiveness) QoS specification interface for multi-dimensional QoS provisioning, a quality-of service index model to help the user make the quality trade-off decision, and a unified QoS-based admission control...

Conservative Initial Mapping For Multidimensional Simulations of Stellar Explosions

International Nuclear Information System (INIS)

Chen, Ke-Jung; Heger, Alexander; Almgren, Ann

2012-01-01

Mapping one-dimensional stellar profiles onto multidimensional grids as initial conditions for hydrodynamics calculations can lead to numerical artifacts, one of the most severe of which is the violation of conservation laws for physical quantities such as energy and mass. Here we introduce a numerical scheme for mapping one-dimensional spherically-symmetric data onto multidimensional meshes so that these physical quantities are conserved. We validate our scheme by porting a realistic 1D Lagrangian stellar profile to the new multidimensional Eulerian hydro code CASTRO. Our results show that all important features in the profiles are reproduced on the new grid and that conservation laws are enforced at all resolutions after mapping.

Quality assessment of patients’ self-monitoring of blood glucose in community pharmacies

Directory of Open Access Journals (Sweden)

Kjome RL

2010-03-01

Full Text Available Objective: To evaluate diabetes patients’ self-monitoring of blood glucose using a community pharmacy-based quality assurance procedure, to investigate whether the procedure improved the quality of the patient performance of self monitoring of blood glucose, and to examine the opinions of the patients taking part in the study. Methods: The results of patient blood glucose measurements were compared to the results obtained with HemoCue Glucose 201+ by pharmacy employees in 16 Norwegian community pharmacies. Patient performance was monitored using an eight item checklist. Patients whose blood glucose measurements differed from pharmacy measurements by more than 20% were instructed in the correct use of their glucometer. The patients then re-measured their blood glucose. If the results were still outside the set limits, the control procedure was repeated with a new lot of glucometer strips, and then with a new glucometer. The patients returned for a follow-up visit after three months. Results: During the first visit, 5% of the 338 patients had measurements that deviated from pharmacy blood glucose values by more than 20% and user errors were observed for 50% of the patients. At the second visit, there was no significant change in the analytical quality of patient measurements, but the percentage of patients who made user errors had decreased to 29% (p < 0.001. Eighty-five percent of the patients reported that they used their blood glucose results to adjust medication, exercise or meals. Fifty-one percent of the patients reported a greater trust in their measurements after the second visit. Eighty percent of patients wished to have their measurements assessed yearly. Of these patients, 83% preferred to have the assessment done at the community pharmacy. Conclusion: A community pharmacy-based quality assessment procedure of patients’ self monitoring of blood glucose significantly reduced the number of user errors. The analytical quality of the

Equity-Oriented Monitoring in the Context of Universal Health Coverage

Science.gov (United States)

Hosseinpoor, Ahmad Reza; Bergen, Nicole; Koller, Theadora; Prasad, Amit; Schlotheuber, Anne; Valentine, Nicole; Lynch, John; Vega, Jeanette

2014-01-01

Monitoring inequalities in health is fundamental to the equitable and progressive realization of universal health coverage (UHC). A successful approach to global inequality monitoring must be intuitive enough for widespread adoption, yet maintain technical credibility. This article discusses methodological considerations for equity-oriented monitoring of UHC, and proposes recommendations for monitoring and target setting. Inequality is multidimensional, such that the extent of inequality may vary considerably across different dimensions such as economic status, education, sex, and urban/rural residence. Hence, global monitoring should include complementary dimensions of inequality (such as economic status and urban/rural residence) as well as sex. For a given dimension of inequality, subgroups for monitoring must be formulated taking into consideration applicability of the criteria across countries and subgroup heterogeneity. For economic-related inequality, we recommend forming subgroups as quintiles, and for urban/rural inequality we recommend a binary categorization. Inequality spans populations, thus appropriate approaches to monitoring should be based on comparisons between two subgroups (gap approach) or across multiple subgroups (whole spectrum approach). When measuring inequality absolute and relative measures should be reported together, along with disaggregated data; inequality should be reported alongside the national average. We recommend targets based on proportional reductions in absolute inequality across populations. Building capacity for health inequality monitoring is timely, relevant, and important. The development of high-quality health information systems, including data collection, analysis, interpretation, and reporting practices that are linked to review and evaluation cycles across health systems, will enable effective global and national health inequality monitoring. These actions will support equity-oriented progressive realization of UHC

A space satellite perspective to monitor water quality using ...

Science.gov (United States)

Good water quality is important for human health, economic development, and the health of our environment. Across the country, we face the challenge of degraded water quality in many of our rivers, lakes, coastal regions and oceans. The EPA National Rivers and Stream Assessment report found that more than half - 55 percent - of our rivers and streams are in poor condition for aquatic life. Likewise, the EPA Lakes Assessment found that 22 percent of our lakes are in poor condition for aquatic life. The reasons for unhealthy water quality are vast. Likewise, poor water quality has numerous impacts to ecosystems. One indicator, which trends during warm weather months, is the duration and frequency of harmful algal blooms. A healthy environment includes good water quality to support a rich and varied ecosystem, economic growth, and protects the health of the people in the community who rely on that water. Having the ability to monitor and provide timely response to harmful algal blooms would be one step in protecting the benefits people receive from good water quality (U.S. EPA 2010 and 2013). Published in the North American Lake Management Society-LakeLine Magazine.

Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers

NARCIS (Netherlands)

Bolt, J.H.; van der Gaag, L.C.

Multi-dimensional Bayesian network classifiers are Bayesian networks of restricted topological structure, which are tailored to classifying data instances into multiple dimensions. Like more traditional classifiers, multi-dimensional classifiers are typically learned from data and may include

The discharge behavior of lithium-ion batteries using the Dual-Potential Multi-Scale Multi-Dimensional (MSMD) Battery Model

DEFF Research Database (Denmark)

Saeed Madani, Seyed; Swierczynski, Maciej Jozef; Kær, Søren Knudsen

2017-01-01

This paper gives insight into the discharge behavior of lithium-ion batteries based on the investigations, which have been done by the researchers [1– 19]. In this article, the battery's discharge behaviour at various discharge rates is studied and surface monitor, discharge curve, volume monitor...... to analysis the discharge behaviour of lithium-ion batteries. The results show that surface monitor plot of discharge curve at 1 C has a decreasing trend and volume monitor plot of maximum temperature in the domain has slightly increasing pattern over the simulation time. For the curves of discharge...... plot of maximum temperature in the domain and maximum temperature in the area are illustrated. Additionally, an external and internal short-circuit treatment for three cases have been studied. The Dual-Potential Multi-Scale Multi-Dimensional (MSMD) Battery Model (BM) was used by ANSYS FLUENT software...

Air quality monitoring using mobile microscopy and machine learning

KAUST Repository

Wu, Yi-Chen; Shiledar, Ashutosh; Li, Yi-Cheng; Wong, Jeffrey; Feng, Steve; Chen, Xuan; Chen, Christine; Jin, Kevin; Janamian, Saba; Yang, Zhe; Ballard, Zachary Scott; Gö rö cs, Zoltá n; Feizi, Alborz; Ozcan, Aydogan

2017-01-01

Rapid, accurate and high-throughput sizing and quantification of particulate matter (PM) in air is crucial for monitoring and improving air quality. In fact, particles in air with a diameter of ≤2.5 μm have been classified as carcinogenic by the World Health Organization. Here we present a field-portable cost-effective platform for high-throughput quantification of particulate matter using computational lens-free microscopy and machine-learning. This platform, termed c-Air, is also integrated with a smartphone application for device control and display of results. This mobile device rapidly screens 6.5 L of air in 30 s and generates microscopic images of the aerosols in air. It provides statistics of the particle size and density distribution with a sizing accuracy of ~93%. We tested this mobile platform by measuring the air quality at different indoor and outdoor environments and measurement times, and compared our results to those of an Environmental Protection Agency–approved device based on beta-attenuation monitoring, which showed strong correlation to c-Air measurements. Furthermore, we used c-Air to map the air quality around Los Angeles International Airport (LAX) over 24 h to confirm that the impact of LAX on increased PM concentration was present even at >7 km away from the airport, especially along the direction of landing flights. With its machine-learning-based computational microscopy interface, c-Air can be adaptively tailored to detect specific particles in air, for example, various types of pollen and mold and provide a cost-effective mobile solution for highly accurate and distributed sensing of air quality.

Air quality monitoring using mobile microscopy and machine learning

KAUST Repository

Wu, Yi-Chen

2017-09-08

Rapid, accurate and high-throughput sizing and quantification of particulate matter (PM) in air is crucial for monitoring and improving air quality. In fact, particles in air with a diameter of ≤2.5 μm have been classified as carcinogenic by the World Health Organization. Here we present a field-portable cost-effective platform for high-throughput quantification of particulate matter using computational lens-free microscopy and machine-learning. This platform, termed c-Air, is also integrated with a smartphone application for device control and display of results. This mobile device rapidly screens 6.5 L of air in 30 s and generates microscopic images of the aerosols in air. It provides statistics of the particle size and density distribution with a sizing accuracy of ~93%. We tested this mobile platform by measuring the air quality at different indoor and outdoor environments and measurement times, and compared our results to those of an Environmental Protection Agency–approved device based on beta-attenuation monitoring, which showed strong correlation to c-Air measurements. Furthermore, we used c-Air to map the air quality around Los Angeles International Airport (LAX) over 24 h to confirm that the impact of LAX on increased PM concentration was present even at >7 km away from the airport, especially along the direction of landing flights. With its machine-learning-based computational microscopy interface, c-Air can be adaptively tailored to detect specific particles in air, for example, various types of pollen and mold and provide a cost-effective mobile solution for highly accurate and distributed sensing of air quality.

[Designing and implementation of a web-based quality monitoring system for plasma glucose measurement in multicenter population study].

Science.gov (United States)

Liu, Yong; Wang, Limin; Pang, Richard; Mo, Nanxun; Hu, Yan; Deng, Qian; Hu, Zhaohui

2015-05-01

The aim of this paper is to describe the designing and implementation of a web-based plasma glucose measurement quality monitoring system to assess the analytical quality of plasma glucose measurements in multicenter population study and provide evidence for the future studies. In the chronic non-communicable disease and related factor surveillance in China, a web based quality monitoring system for plasma glucose measurement was established to conduct evaluation on plasma glucose monitoring quality and effectiveness in 302 surveillance centers, including quality control data entry, transmission and feedback. The majority of the surveillance centers met the quality requirements and passed the evaluation of reproducibility and precision of plasma glucose measurement, only a few centers required intensive training and re-assessment. In order to ensure the completeness and reliability of plasma glucose measurement in the surveillance centers, the establishment of web-based plasma glucose measurement quality control system can facilitate the identification of the qualified surveillance centers and evaluation of plasma glucose measurement quality in different regions. Communication and training are important in ensuring plasma glucose measurement quality. It is necessary to further improve this web-based plasma glucose measurement quality monitoring system in the future to reduce the method specific plasma glucose measurement bias.

Cluster Oriented Spatio Temporal Multidimensional Data Visualization of Earthquakes in Indonesia

Directory of Open Access Journals (Sweden)

Mohammad Nur Shodiq

2016-03-01

Full Text Available Spatio temporal data clustering is challenge task. The result of clustering data are utilized to investigate the seismic parameters. Seismic parameters are used to describe the characteristics of earthquake behavior. One of the effective technique to study multidimensional spatio temporal data is visualization. But, visualization of multidimensional data is complicated problem. Because, this analysis consists of observed data cluster and seismic parameters. In this paper, we propose a visualization system, called as IES (Indonesia Earthquake System, for cluster analysis, spatio temporal analysis, and visualize the multidimensional data of seismic parameters. We analyze the cluster analysis by using automatic clustering, that consists of get optimal number of cluster and Hierarchical K-means clustering. We explore the visual cluster and multidimensional data in low dimensional space visualization. We made experiment with observed data, that consists of seismic data around Indonesian archipelago during 2004 to 2014. Keywords: Clustering, visualization, multidimensional data, seismic parameters.

Quality assurance in individual monitoring: A summary of the EURADOS survey 2012

International Nuclear Information System (INIS)

Gilvin, P.; Alves, J.G.; Cherestes, C.; Dijk, J.W.E. van; Lehtinen, M.; Rossi, F.; Vekic, B.

2014-01-01

EURADOS Working Group 2 (WG2) on Harmonization of Individual Monitoring is a network of individual monitoring services (IMSs) that aims to promote quality, technical excellence and good practice in European Member States. To help to improve quality, in 2012 EURADOS WG2 carried out a survey of IMSs in Europe. The survey was sent to about 170 IMS and included questions on: the use of formal quality assurance (QA) standards, QA in dosimetry, matters of practice, and common sources of error. The present paper summarises the main findings of the survey, and compares them with those of an earlier study (2003). The survey found that profile of QA is high amongst the responding IMSs, and that most are following good practice. A majority of services comply with formal quality standards and good attention is paid to traceability, method validation and proficiency testing. There are some areas where lessons can be learned, for example in the assessment of measurement uncertainty; and it remains very instructive to see what the main causes of error are for IMSs in general. - Highlights: • EURADOS has surveyed QA practice amongst European dosimetry services. • The survey was comprehensive, covering most of the monitored workers in Europe. • The profile of QA among IMS is reassuringly high. • Many services follow formal QA standards, e.g. ISO 17025. • But there are still some lessons that can be learned

Quality assurance of the manual OSLD Badge based personnel monitoring system

International Nuclear Information System (INIS)

Kumar, Munish; Gaonkar, U.P.; Koul, D.K.; Datta, D.; Singh, S.K.; Rakesh, R.B.; Kulkarni, M.S.; Ratna, P.

2018-01-01

Optically stimulated luminescence (OSL) based technique is widely used for monitoring of radiation workers exposed to x, gamma and beta radiations. Features such as multiple readout, short processing time, better beta response, absence of infra red signal (no heating), flexibility in the dosimeter design using binders or substrates having low melting point are associated advantages. Presently α-Al 2 O 3 :C and BeO based dosimeters are popularly used for personnel monitoring applications worldwide. The present paper describe results of the external quality control check (QAC) tests performed for the present OSLD badge based personnel monitoring system. The results were analyzed as per ANSI criteria and Trumpet curve methods

Multidimensional filter banks and wavelets research developments and applications

CERN Document Server

Levy, Bernard

1997-01-01

Multidimensional Filter Banks and Wavelets: Reserach Developments and Applications brings together in one place important contributions and up-to-date research results in this important area. Multidimensional Filter Banks and Wavelets: Research Developments and Applications serves as an excellent reference, providing insight into some of the most important research issues in the field.

On new physics searches with multidimensional differential shapes

Science.gov (United States)

Ferreira, Felipe; Fichet, Sylvain; Sanz, Veronica

2018-03-01

In the context of upcoming new physics searches at the LHC, we investigate the impact of multidimensional differential rates in typical LHC analyses. We discuss the properties of shape information, and argue that multidimensional rates bring limited information in the scope of a discovery, but can have a large impact on model discrimination. We also point out subtleties about systematic uncertainties cancellations and the Cauchy-Schwarz bound on interference terms.

The Data Quality Monitoring Software for the CMS experiment at the LHC

CERN Document Server

AUTHOR|(CDS)2071602

2016-01-01

The Data Quality Monitoring (DQM) Software is a central tool in the CMS experiment. Its flexibility allows for integration in several key environments Online, for real-time detector monitoring; Offline, for the final, fine-grained Data Certification; Release-Validation, to constantly validate the functionalities and the performance of the reconstruction software; in Monte Carlo productions.Since the end of data taking at a center of mass energy of 8 TeV, the environment in which the DQM lives has undergone fundamental changes. In turn, the DQM system has made significant upgrades in many areas to respond to not only the changes in infrastructure, but also the growing specialized needs of the collaboration with an emphasis on more sophisticated methods for evaluating dataquality, as well as advancing the DQM system to provide quality assessments of various Monte Carlo simulations versus data distributions, monitoring changes in physical effects due to modifications of algorithms or framework, and enabling reg...

Multidimensional human dynamics in mobile phone communications.

Science.gov (United States)

Quadri, Christian; Zignani, Matteo; Capra, Lorenzo; Gaito, Sabrina; Rossi, Gian Paolo

2014-01-01

In today's technology-assisted society, social interactions may be expressed through a variety of techno-communication channels, including online social networks, email and mobile phones (calls, text messages). Consequently, a clear grasp of human behavior through the diverse communication media is considered a key factor in understanding the formation of the today's information society. So far, all previous research on user communication behavior has focused on a sole communication activity. In this paper we move forward another step on this research path by performing a multidimensional study of human sociality as an expression of the use of mobile phones. The paper focuses on user temporal communication behavior in the interplay between the two complementary communication media, text messages and phone calls, that represent the bi-dimensional scenario of analysis. Our study provides a theoretical framework for analyzing multidimensional bursts as the most general burst category, that includes one-dimensional bursts as the simplest case, and offers empirical evidence of their nature by following the combined phone call/text message communication patterns of approximately one million people over three-month period. This quantitative approach enables the design of a generative model rooted in the three most significant features of the multidimensional burst - the number of dimensions, prevalence and interleaving degree - able to reproduce the main media usage attitude. The other findings of the paper include a novel multidimensional burst detection algorithm and an insight analysis of the human media selection process.

Multidimensional human dynamics in mobile phone communications.

Directory of Open Access Journals (Sweden)

Christian Quadri

Full Text Available In today's technology-assisted society, social interactions may be expressed through a variety of techno-communication channels, including online social networks, email and mobile phones (calls, text messages. Consequently, a clear grasp of human behavior through the diverse communication media is considered a key factor in understanding the formation of the today's information society. So far, all previous research on user communication behavior has focused on a sole communication activity. In this paper we move forward another step on this research path by performing a multidimensional study of human sociality as an expression of the use of mobile phones. The paper focuses on user temporal communication behavior in the interplay between the two complementary communication media, text messages and phone calls, that represent the bi-dimensional scenario of analysis. Our study provides a theoretical framework for analyzing multidimensional bursts as the most general burst category, that includes one-dimensional bursts as the simplest case, and offers empirical evidence of their nature by following the combined phone call/text message communication patterns of approximately one million people over three-month period. This quantitative approach enables the design of a generative model rooted in the three most significant features of the multidimensional burst - the number of dimensions, prevalence and interleaving degree - able to reproduce the main media usage attitude. The other findings of the paper include a novel multidimensional burst detection algorithm and an insight analysis of the human media selection process.

A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction.

Science.gov (United States)

Yang, Zhongshan; Wang, Jian

2017-10-01

Air pollution in many countries is worsening with industrialization and urbanization, resulting in climate change and affecting people's health, thus, making the work of policymakers more difficult. It is therefore both urgent and necessary to establish amore scientific air quality monitoring and early warning system to evaluate the degree of air pollution objectively, and predict pollutant concentrations accurately. However, the integration of air quality assessment and air pollutant concentration prediction to establish an air quality system is not common. In this paper, we propose a new air quality monitoring and early warning system, including an assessment module and forecasting module. In the air quality assessment module, fuzzy comprehensive evaluation is used to determine the main pollutants and evaluate the degree of air pollution more scientifically. In the air pollutant concentration prediction module, a novel hybridization model combining complementary ensemble empirical mode decomposition, a modified cuckoo search and differential evolution algorithm, and an Elman neural network, is proposed to improve the forecasting accuracy of six main air pollutant concentrations. To verify the effectiveness of this system, pollutant data for two cities in China are used. The result of the fuzzy comprehensive evaluation shows that the major air pollutants in Xi'an and Jinan are PM 10 and PM 2.5 respectively, and that the air quality of Xi'an is better than that of Jinan. The forecasting results indicate that the proposed hybrid model is remarkably superior to all benchmark models on account of its higher prediction accuracy and stability. Copyright © 2017 Elsevier Inc. All rights reserved.

Managing the ‘Monitoring Imperative’ in the Context of SDG Target 6.3 on Water Quality and Wastewater

Directory of Open Access Journals (Sweden)

Janet G. Hering

2017-09-01

Full Text Available Monitoring the Sustainable Development Goal (SDG 6 for water and sanitation builds on monitoring frameworks that were developed for the Millennium Development Goals (MDGs, specifically the WHO/UNICEF Joint Monitoring Programme (JMP. Yet, since SDG 6 goes beyond the MDG focus on drinking water and sanitation, it also significantly expands monitoring and reporting responsibilities. The target to improve water quality (Target 6.3 calls for water quality monitoring and data reporting that are likely to pose a significant challenge to countries that lack an established monitoring program. At the same time, redundant burdens may be imposed on countries that already have established programs and report out water quality data to inter- or supranational agencies. In this context, there is a risk that the intention that water quality data should serve as a basis for evidence-based decision making will become subsidiary to the resource-intensive activities of data collection and management. Alternatively, policies could be designed based on historical experience with measures of proven effectiveness, prioritizing policies that could have multiple benefits. Policies could be implemented in parallel with the development of monitoring programs and conventional monitoring data could be complemented by information gained from sources such as remote sensing and unstructured data.

Monitoring quality and coverage of harm reduction services for people who use drugs

DEFF Research Database (Denmark)

Wiessing, Lucas; Ferri, Marica; Běláčková, Vendula

2017-01-01

indicators and to present a framework for extending them with additional indicators of coverage and quality of harm reduction services, for monitoring and evaluation at international, national or subnational levels. The ultimate aim is to improve these services in order to reduce health and social problems......BACKGROUND AND AIMS: Despite advances in our knowledge of effective services for people who use drugs over the last decades globally, coverage remains poor in most countries, while quality is often unknown. This paper aims to discuss the historical development of successful epidemiological...... before their scaling up and routine implementation, to evaluate their effectiveness in comparing service coverage and quality across countries. CONCLUSIONS: The establishment of an improved set of validated and internationally agreed upon best practice indicators for monitoring harm reduction service...

Image matrix processor for fast multi-dimensional computations

Science.gov (United States)

Roberson, George P.; Skeate, Michael F.

1996-01-01

An apparatus for multi-dimensional computation which comprises a computation engine, including a plurality of processing modules. The processing modules are configured in parallel and compute respective contributions to a computed multi-dimensional image of respective two dimensional data sets. A high-speed, parallel access storage system is provided which stores the multi-dimensional data sets, and a switching circuit routes the data among the processing modules in the computation engine and the storage system. A data acquisition port receives the two dimensional data sets representing projections through an image, for reconstruction algorithms such as encountered in computerized tomography. The processing modules include a programmable local host, by which they may be configured to execute a plurality of different types of multi-dimensional algorithms. The processing modules thus include an image manipulation processor, which includes a source cache, a target cache, a coefficient table, and control software for executing image transformation routines using data in the source cache and the coefficient table and loading resulting data in the target cache. The local host processor operates to load the source cache with a two dimensional data set, loads the coefficient table, and transfers resulting data out of the target cache to the storage system, or to another destination.

Data quality monitoring of the CMS Silicon Strip Tracker detector

International Nuclear Information System (INIS)

Benucci, L.

2010-01-01

The Physics and Data Quality Monitoring (DQM) framework aims at providing a homogeneous monitoring environment across various applications related to data taking at the CMS experiment. In this contribution, the DQM system for the Silicon Strip Tracker will be introduced. The set of elements to assess the status of detector will be mentioned, along with the way to identify problems and trace them to specific tracker elements. Monitoring tools, user interfaces and automated software will be briefly described. The system was used during extensive cosmic data taking of CMS in Autumn 2008, where it demonstrated to have a flexible and robust implementation and has been essential to improve the understanding of the detector. CMS Collaboration believes that this tool is now mature to face the forthcoming data-taking era.

New vision technology for multidimensional quality monitoring of food processes

DEFF Research Database (Denmark)

Dissing, Bjørn Skovlund

be generated using this inductive analytical approach. For the food industry it is an additional advantage that the fast, non-invasive, remote sensing nature of the spectroscopic imaging methods allows on-line measurements. In this way spectroscopic imaging in combination with advanced data analysis meets......Spectroscopy and spectral imaging in combination with multivariate data analysis and machine learning techniques have proven to be an outstanding tool for rapid analysis of different products. This may be utilized in various industries, but especially rapid assessment of food products in food...... research and industry is of importance in this thesis. The non-invasive spectroscopic imaging techniques are able to measure individual food components simultaneously in situ in the food matrix while pattern recognition techniques effectively are able to extract the quantitative information from the vast...

Health equity monitoring for healthcare quality assurance.

Science.gov (United States)

Cookson, R; Asaria, M; Ali, S; Shaw, R; Doran, T; Goldblatt, P

2018-02-01

Population-wide health equity monitoring remains isolated from mainstream healthcare quality assurance. As a result, healthcare organizations remain ill-informed about the health equity impacts of their decisions - despite becoming increasingly well-informed about quality of care for the average patient. We present a new and improved analytical approach to integrating health equity into mainstream healthcare quality assurance, illustrate how this approach has been applied in the English National Health Service, and discuss how it could be applied in other countries. We illustrate the approach using a key quality indicator that is widely used to assess how well healthcare is co-ordinated between primary, community and acute settings: emergency inpatient hospital admissions for ambulatory care sensitive chronic conditions ("potentially avoidable emergency admissions", for short). Whole-population data for 2015 on potentially avoidable emergency admissions in England were linked with neighborhood deprivation indices. Inequality within the populations served by 209 clinical commissioning groups (CCGs: care purchasing organizations with mean population 272,000) was compared against two benchmarks - national inequality and inequality within ten similar populations - using neighborhood-level models to simulate the gap in indirectly standardized admissions between most and least deprived neighborhoods. The modelled inequality gap for England was 927 potentially avoidable emergency admissions per 100,000 people, implying 263,894 excess hospitalizations associated with inequality. Against this national benchmark, 17% of CCGs had significantly worse-than-benchmark equity, and 23% significantly better. The corresponding figures were 11% and 12% respectively against the similar populations benchmark. Deprivation-related inequality in potentially avoidable emergency admissions varies substantially between English CCGs serving similar populations, beyond expected statistical

Comparison of image quality between mammography dedicated monitor and UHD 4K monitor, using standard mammographic phantom: A preliminary study

Energy Technology Data Exchange (ETDEWEB)

Lee, Ji Young; Cha, Soon Joo; Hong, Sung Hwan; Kim, Su Young; Kim, Yong Hoon; Kim, You Sung; Kim, Jeong A [Dept. of Radiology, Inje Unveristy Ilsan Paik Hospital, Goyang (Korea, Republic of)

2017-03-15

Using standard mammographic phantom images, we compared the image quality obtained between a mammography dedicated 5 megapixel monitor (5M) and a UHD 4K (4K) monitor with digital imaging and communications in medicine display, to investigate the possibility of clinical application of 4K monitors. Three different exposures (autoexposure, overexposure and underexposure) images of mammographic phantom were obtained, and six radiologists independently evaluated the images in 5M and 4K without image modulation, by scoring of fibers, groups of specks and masses within the phantom image. The mean score of each object on both monitors was independently analyzed, using t-test and interobserver reliability by intraclass correlation coefficient (ICC) of SPSS. The overall mean scores of fiber, group of specks, and mass in 5M were 4.25, 3.92, and 3.28 respectively, and scores obtained in 4K monitor were 3.81, 3.58, and 3.14, respectively. No statistical difference was seen in scores of fiber and mass between the two monitors at all exposure conditions, but the score of group of specks in 4K was statistically lower in the overall (p = 0.0492) and in underexposure conditions (p = 0.012). The ICC for interobserver reliability was excellent (0.874). Our study suggests that since the mammographic phantom images are appropriate with no significant difference in image quality observed between the two monitors, the 4K monitor could be used for clinical studies. Since this is a small preliminary study using phantom images, the result may differ in actual mammographic images, and subsequent investigation with clinical mammographic images is required.

Medication and monitoring in palliative sedation therapy: a systematic review and quality assessment of published guidelines.

Science.gov (United States)

Schildmann, Eva Katharina; Schildmann, Jan; Kiesewetter, Isabel

2015-04-01

Palliative sedation therapy (PST) is increasingly used in patients at the end of life. However, consensus about medications and monitoring is lacking. To assess published PST guidelines with regard to quality and recommendations on drugs and monitoring. We searched CINAHL, the Cochrane Library, Embase, PsycINFO, PubMed, and references of included articles until July 2014. Search terms included "palliative sedation" or "sedation" and "guideline" or "policy" or "framework." Guideline selection was based on English or German publications that included a PST guideline. Two investigators independently assessed the quality of the guidelines according to the Appraisal of Guidelines for Research and Evaluation II instrument (AGREE II) and extracted information on drug selection and monitoring. Nine guidelines were eligible. Eight guidelines received high quality scores for the domain "scope and purpose" (median 69%, range 28-83%), whereas in the other domains the guidelines' quality differed considerably. The majority of guidelines suggest midazolam as drug of first choice. Recommendations on dosage and alternatives vary. The guidelines' recommendations regarding monitoring of PST show wide variation in the number and details of outcome parameters and methods of assessment. The published guidelines on PST vary considerably regarding their quality and content on drugs and monitoring. Given the need for clear guidance regarding PST in patients at the end of life, this comparative analysis may serve as a starting point for further improvement. Copyright © 2015 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Probing Protein Multidimensional Conformational Fluctuations by Single-Molecule Multiparameter Photon Stamping Spectroscopy

Science.gov (United States)

2015-01-01

Conformational motions of proteins are highly dynamic and intrinsically complex. To capture the temporal and spatial complexity of conformational motions and further to understand their roles in protein functions, an attempt is made to probe multidimensional conformational dynamics of proteins besides the typical one-dimensional FRET coordinate or the projected conformational motions on the one-dimensional FRET coordinate. T4 lysozyme hinge-bending motions between two domains along α-helix have been probed by single-molecule FRET. Nevertheless, the domain motions of T4 lysozyme are rather complex involving multiple coupled nuclear coordinates and most likely contain motions besides hinge-bending. It is highly likely that the multiple dimensional protein conformational motions beyond the typical enzymatic hinged-bending motions have profound impact on overall enzymatic functions. In this report, we have developed a single-molecule multiparameter photon stamping spectroscopy integrating fluorescence anisotropy, FRET, and fluorescence lifetime. This spectroscopic approach enables simultaneous observations of both FRET-related site-to-site conformational dynamics and molecular rotational (or orientational) motions of individual Cy3-Cy5 labeled T4 lysozyme molecules. We have further observed wide-distributed rotational flexibility along orientation coordinates by recording fluorescence anisotropy and simultaneously identified multiple intermediate conformational states along FRET coordinate by monitoring time-dependent donor lifetime, presenting a whole picture of multidimensional conformational dynamics in the process of T4 lysozyme open-close hinge-bending enzymatic turnover motions under enzymatic reaction conditions. By analyzing the autocorrelation functions of both lifetime and anisotropy trajectories, we have also observed the dynamic and static inhomogeneity of T4 lysozyme multidimensional conformational fluctuation dynamics, providing a fundamental

Two multi-dimensional uncertainty relations

International Nuclear Information System (INIS)

Skala, L; Kapsa, V

2008-01-01

Two multi-dimensional uncertainty relations, one related to the probability density and the other one related to the probability density current, are derived and discussed. Both relations are stronger than the usual uncertainty relations for the coordinates and momentum

Monitoring quantity and quality of pangasius pond effluent : report of a monitoring program and recommendations for certification

NARCIS (Netherlands)

Heijden, van der P.G.M.; Poelman, M.; Vo Minh Son,; Duong Nhut Long,; Bosma, R.H.

2011-01-01

The quantity and quality of pangasius pond effluent was monitored by means of monthly sampling during a study conducted on four striped catfish farms located in the Mekong Delta, Vietnam. The study was undertaken to test the practical implications of the standards and guidelines with regard to

Monitor quality and its importance in a picture archiving and communications system display workstation

International Nuclear Information System (INIS)

Dawood, R.M.; Todd-Prokropek, A.; Craig, J.O.M.C.; Highman, J.H.; Glass, H.D.

1988-01-01

Trials have compared image quality using receiver operating characteristic (ROC) curves for different digitization resolution, particularly on hard copy. Resolution required for such systems is critical. Monitor quality significantly affects results of such studies. Several ''high-quality'' monitors were tested for gray level uniformity, flicker, resolution, stationarity (including distortion), jitter, and stability with time. An ROC study has demonstrated that such errors, on one commercially available system, were large enough to degrade image display at both 1k x 1k and 2k x 2k matrix sizes. Flicker was very disturbing with difficult images. Greater attention to these factors is required in designing (and evaluating) picture archiving and communication system work stations

Benefits of Multidimensional Measures of Child Well Being in China.

Science.gov (United States)

Gatenio Gabel, Shirley; Zhang, Yiwei

2017-11-06

In recent decades, measures of child well-being have evolved from single dimension to multidimensional measures. Multi-dimensional measures deepen and broaden our understanding of child well-being and inform us of areas of neglect. Child well-being in China today is measured through proxy measures of household need. This paper discusses the evolution of child well-being measures more generally, explores the benefits of positive indicators and multiple dimensions in formulating policy, and then reviews efforts to date by the Chinese government, researchers, and non-governmental and intergovernmental organizations to develop comprehensive multidimensional measures of child well-being in China. The domains and their potential interactions, as well as data sources and availability, are presented. The authors believe that child well-being in China would benefit from the development of a multidimensional index and that there is sufficient data to develop such an index.

Real-time monitoring of emissions with traffic data, simulation and air quality measurements

NARCIS (Netherlands)

Klunder, G.A.; Wilmink, I.R.

2009-01-01

This paper investigates the possibility to decide when to apply a (dynamic) traffic management measure to improve the air quality or reduce CO2 emissions, based on a limited set of (measured) data. It is expected that a combination of monitoring and modeling is needed for reliable air quality

A combined geostatistical-optimization model for the optimal design of a groundwater quality monitoring network

Science.gov (United States)

Kolosionis, Konstantinos; Papadopoulou, Maria P.

2017-04-01

Monitoring networks provide essential information for water resources management especially in areas with significant groundwater exploitation due to extensive agricultural activities. In this work, a simulation-optimization framework is developed based on heuristic optimization methodologies and geostatistical modeling approaches to obtain an optimal design for a groundwater quality monitoring network. Groundwater quantity and quality data obtained from 43 existing observation locations at 3 different hydrological periods in Mires basin in Crete, Greece will be used in the proposed framework in terms of Regression Kriging to develop the spatial distribution of nitrates concentration in the aquifer of interest. Based on the existing groundwater quality mapping, the proposed optimization tool will determine a cost-effective observation wells network that contributes significant information to water managers and authorities. The elimination of observation wells that add little or no beneficial information to groundwater level and quality mapping of the area can be obtain using estimations uncertainty and statistical error metrics without effecting the assessment of the groundwater quality. Given the high maintenance cost of groundwater monitoring networks, the proposed tool could used by water regulators in the decision-making process to obtain a efficient network design that is essential.

Monitoring groundwater quality in South-Africa: Development of a national strategy

CSIR Research Space (South Africa)

Parsons, R

1995-04-01

Full Text Available Little is known about the temporal distribution of groundwater quality on a national scale in South Africa. The effective management of the country's groundwater resources is thus difficult and a need exists for a national network for monitoring...

Scientific Visualization and Simulation for Multi-dimensional Marine Environment Data

Science.gov (United States)

Su, T.; Liu, H.; Wang, W.; Song, Z.; Jia, Z.

2017-12-01

As higher attention on the ocean and rapid development of marine detection, there are increasingly demands for realistic simulation and interactive visualization of marine environment in real time. Based on advanced technology such as GPU rendering, CUDA parallel computing and rapid grid oriented strategy, a series of efficient and high-quality visualization methods, which can deal with large-scale and multi-dimensional marine data in different environmental circumstances, has been proposed in this paper. Firstly, a high-quality seawater simulation is realized by FFT algorithm, bump mapping and texture animation technology. Secondly, large-scale multi-dimensional marine hydrological environmental data is virtualized by 3d interactive technologies and volume rendering techniques. Thirdly, seabed terrain data is simulated with improved Delaunay algorithm, surface reconstruction algorithm, dynamic LOD algorithm and GPU programming techniques. Fourthly, seamless modelling in real time for both ocean and land based on digital globe is achieved by the WebGL technique to meet the requirement of web-based application. The experiments suggest that these methods can not only have a satisfying marine environment simulation effect, but also meet the rendering requirements of global multi-dimension marine data. Additionally, a simulation system for underwater oil spill is established by OSG 3D-rendering engine. It is integrated with the marine visualization method mentioned above, which shows movement processes, physical parameters, current velocity and direction for different types of deep water oil spill particle (oil spill particles, hydrates particles, gas particles, etc.) dynamically and simultaneously in multi-dimension. With such application, valuable reference and decision-making information can be provided for understanding the progress of oil spill in deep water, which is helpful for ocean disaster forecasting, warning and emergency response.

Spectroscopic vector analysis for fast pattern quality monitoring

Science.gov (United States)

Sohn, Younghoon; Ryu, Sungyoon; Lee, Chihoon; Yang, Yusin

2018-03-01

In semiconductor industry, fast and effective measurement of pattern variation has been key challenge for assuring massproduct quality. Pattern measurement techniques such as conventional CD-SEMs or Optical CDs have been extensively used, but these techniques are increasingly limited in terms of measurement throughput and time spent in modeling. In this paper we propose time effective pattern monitoring method through the direct spectrum-based approach. In this technique, a wavelength band sensitive to a specific pattern change is selected from spectroscopic ellipsometry signal scattered by pattern to be measured, and the amplitude and phase variation in the wavelength band are analyzed as a measurement index of the pattern change. This pattern change measurement technique is applied to several process steps and verified its applicability. Due to its fast and simple analysis, the methods can be adapted to the massive process variation monitoring maximizing measurement throughput.

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)

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

1996-12-31

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)

Visual modeling in an analysis of multidimensional data

Science.gov (United States)

Zakharova, A. A.; Vekhter, E. V.; Shklyar, A. V.; Pak, A. J.

2018-01-01

The article proposes an approach to solve visualization problems and the subsequent analysis of multidimensional data. Requirements to the properties of visual models, which were created to solve analysis problems, are described. As a perspective direction for the development of visual analysis tools for multidimensional and voluminous data, there was suggested an active use of factors of subjective perception and dynamic visualization. Practical results of solving the problem of multidimensional data analysis are shown using the example of a visual model of empirical data on the current state of studying processes of obtaining silicon carbide by an electric arc method. There are several results of solving this problem. At first, an idea of possibilities of determining the strategy for the development of the domain, secondly, the reliability of the published data on this subject, and changes in the areas of attention of researchers over time.

Multidimensional Scaling Localization Algorithm in Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Zhang Dongyang

2014-02-01

Full Text Available Due to the localization algorithm in large-scale wireless sensor network exists shortcomings both in positioning accuracy and time complexity compared to traditional localization algorithm, this paper presents a fast multidimensional scaling location algorithm. By positioning algorithm for fast multidimensional scaling, fast mapping initialization, fast mapping and coordinate transform can get schematic coordinates of node, coordinates Initialize of MDS algorithm, an accurate estimate of the node coordinates and using the PRORUSTES to analysis alignment of the coordinate and final position coordinates of nodes etc. There are four steps, and the thesis gives specific implementation steps of the algorithm. Finally, compared with stochastic algorithms and classical MDS algorithm experiment, the thesis takes application of specific examples. Experimental results show that: the proposed localization algorithm has fast multidimensional scaling positioning accuracy in ensuring certain circumstances, but also greatly improves the speed of operation.

Enabling Bus Transit Service Quality Co-Monitoring Through Smartphone-Based Platform

DEFF Research Database (Denmark)

Li, Corinna; Zegras, P. Christopher; Zhao, Fang

2017-01-01

’ word, meaning “agencies using public feedback to supplement official monitoring and regulation.”] bus service quality. The pilot project adapted a smartphone-based travel survey system, Future Mobility Sensing, to collect real-time customer feedback and objective operational measurements on specific...... monitoring through a more real-time, customer-centric perspective. The pilot project operated publicly for 3 months on the Silver Line bus rapid transit in Boston, Massachusetts. Seventy-six participants completed the entrance survey; half of them actively participated and completed more than 500...

ATLAS Offline Data Quality Monitoring

CERN Document Server

Adelman, J; Boelaert, N; D'Onofrio, M; Frost, J A; Guyot, C; Hauschild, M; Hoecker, A; Leney, K J C; Lytken, E; Martinez-Perez, M; Masik, J; Nairz, A M; Onyisi, P U E; Roe, S; Schatzel, S; Schaetzel, S; Wilson, M G

2010-01-01

The ATLAS experiment at the Large Hadron Collider reads out 100 Million electronic channels at a rate of 200 Hz. Before the data are shipped to storage and analysis centres across the world, they have to be checked to be free from irregularities which render them scientifically useless. Data quality offline monitoring provides prompt feedback from full first-pass event reconstruction at the Tier-0 computing centre and can unveil problems in the detector hardware and in the data processing chain. Detector information and reconstructed proton-proton collision event characteristics are distilled into a few key histograms and numbers which are automatically compared with a reference. The results of the comparisons are saved as status flags in a database and are published together with the histograms on a web server. They are inspected by a 24/7 shift crew who can notify on-call experts in case of problems and in extreme cases signal data taking abort.

Development of multi-dimensional body image scale for malaysian female adolescents.

Science.gov (United States)

Chin, Yit Siew; Taib, Mohd Nasir Mohd; Shariff, Zalilah Mohd; Khor, Geok Lin

2008-01-01

The present study was conducted to develop a Multi-dimensional Body Image Scale for Malaysian female adolescents. Data were collected among 328 female adolescents from a secondary school in Kuantan district, state of Pahang, Malaysia by using a self-administered questionnaire and anthropometric measurements. The self-administered questionnaire comprised multiple measures of body image, Eating Attitude Test (EAT-26; Garner & Garfinkel, 1979) and Rosenberg Self-esteem Inventory (Rosenberg, 1965). The 152 items from selected multiple measures of body image were examined through factor analysis and for internal consistency. Correlations between Multi-dimensional Body Image Scale and body mass index (BMI), risk of eating disorders and self-esteem were assessed for construct validity. A seven factor model of a 62-item Multi-dimensional Body Image Scale for Malaysian female adolescents with construct validity and good internal consistency was developed. The scale encompasses 1) preoccupation with thinness and dieting behavior, 2) appearance and body satisfaction, 3) body importance, 4) muscle increasing behavior, 5) extreme dieting behavior, 6) appearance importance, and 7) perception of size and shape dimensions. Besides, a multidimensional body image composite score was proposed to screen negative body image risk in female adolescents. The result found body image was correlated with BMI, risk of eating disorders and self-esteem in female adolescents. In short, the present study supports a multi-dimensional concept for body image and provides a new insight into its multi-dimensionality in Malaysian female adolescents with preliminary validity and reliability of the scale. The Multi-dimensional Body Image Scale can be used to identify female adolescents who are potentially at risk of developing body image disturbance through future intervention programs.

Multidimensional Computerized Adaptive Testing for Indonesia Junior High School Biology

Science.gov (United States)

Kuo, Bor-Chen; Daud, Muslem; Yang, Chih-Wei

2015-01-01

This paper describes a curriculum-based multidimensional computerized adaptive test that was developed for Indonesia junior high school Biology. In adherence to the Indonesian curriculum of different Biology dimensions, 300 items was constructed, and then tested to 2238 students. A multidimensional random coefficients multinomial logit model was…

Investigation of multidimensional control systems in the state space and wavelet medium

Science.gov (United States)

Fedosenkov, D. B.; Simikova, A. A.; Fedosenkov, B. A.

2018-05-01

The notions are introduced of “one-dimensional-point” and “multidimensional-point” automatic control systems. To demonstrate the joint use of approaches based on the concepts of state space and wavelet transforms, a method for optimal control in a state space medium represented in the form of time-frequency representations (maps), is considered. The computer-aided control system is formed on the basis of the similarity transformation method, which makes it possible to exclude the use of reduced state variable observers. 1D-material flow signals formed by primary transducers are converted by means of wavelet transformations into multidimensional concentrated-at-a point variables in the form of time-frequency distributions of Cohen’s class. The algorithm for synthesizing a stationary controller for feeding processes is given here. The conclusion is made that the formation of an optimal control law with time-frequency distributions available contributes to the improvement of transient processes quality in feeding subsystems and the mixing unit. Confirming the efficiency of the method presented is illustrated by an example of the current registration of material flows in the multi-feeding unit. The first section in your paper.

Enabling Bus Transit Service Quality Co-Monitoring Through Smartphone-Based Platform

DEFF Research Database (Denmark)

Li, Corinna; Zegras, P. Christopher; Zhao, Fang

2017-01-01

’ word, meaning “agencies using public feedback to supplement official monitoring and regulation.”] bus service quality. The pilot project adapted a smartphone-based travel survey system, Future Mobility Sensing, to collect real-time customer feedback and objective operational measurements on specific...

Analysis of Local Dependence and Multidimensionality in Graphical Loglinear Rasch Models

DEFF Research Database (Denmark)

Kreiner, Svend; Christensen, Karl Bang

2004-01-01

Local independence; Multidimensionality; Differential item functioning; Uniform local dependence and DIF; Graphical Rasch models; Loglinear Rasch model......Local independence; Multidimensionality; Differential item functioning; Uniform local dependence and DIF; Graphical Rasch models; Loglinear Rasch model...

Age differences in false memory: The importance of retrieval monitoring processes and their modulation by memory quality.

Science.gov (United States)

Fandakova, Yana; Sander, Myriam C; Grandy, Thomas H; Cabeza, Roberto; Werkle-Bergner, Markus; Shing, Yee Lee

2018-02-01

Older adults are more likely than younger adults to falsely recall past episodes that occurred differently or not at all. We examined whether older adults' propensity for false associative memory is related to declines in postretrieval monitoring processes and their modulation with varying memory representations. Younger (N = 20) and older adults (N = 32) studied and relearned unrelated scene-word pairs, followed by a final cued recall that was used to distribute the pairs for an associative recognition test 24 hours later. This procedure allowed individualized formation of rearranged pairs that were made up of elements of pairs that were correctly recalled in the final cued recall ("high-quality" pairs), and of pairs that were not correctly recalled ("low-quality" pairs). Both age groups falsely recognized more low-quality than high-quality rearranged pairs, with a less pronounced reduction in false alarms to high-quality pairs in older adults. In younger adults, cingulo-opercular activity was enhanced for false alarms and for low-quality correct rejections, consistent with its role in postretrieval monitoring. Older adults did not show such modulated recruitment, suggesting deficits in their selective engagement of monitoring processes given variability in the fidelity of memory representations. There were no age differences in hippocampal activity, which was higher for high-quality than low-quality correct rejections in both age groups. These results demonstrate that the engagement of cingulo-opercular monitoring mechanisms varies with memory representation quality and contributes to age-related deficits in false associative memory. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Fault Isolation and quality assessment for shipboard monitoring

DEFF Research Database (Denmark)

Lajic, Zoran; Nielsen, Ulrik Dam; Blanke, Mogens

2010-01-01

system and to improve multi-sensor data fusion for the particular system. Fault isolation is an important part of the fault tolerant design for in-service monitoring and decision support systems for ships. In the paper, a virtual example of fault isolation will be presented. Several possible faults...... will be simulated and isolated using residuals and the generalized likelihood ratio (GLR) algorithm. It will be demonstrated that the approach can be used to increase accuracy of sea state estimations employing sensor fusion quality test....

Multidimensional Plasma Wake Excitation in the Non-linear Blowout Regime

CERN Document Server

Vieira, J.; Silva, L.O.

2016-01-01

Plasma accelerators can sustain very high acceleration gradients. They are promising candidates for future generations of particle accelerators for sev- eral scientific, medical and technological applications. Current plasma based acceleration experiments operate in the relativistic regime, where the plasma response is strongly non-linear. We outline some of the key properties of wake- field excitation in these regimes. We outline a multidimensional theory for the excitation of plasma wakefields in connection with current experiments. We then use these results and provide design guidelines for the choice of laser and plasma parameters ensuring a stable laser wakefield accelerator that maximizes the quality of the accelerated electrons. We also mention some of the future challenges associated with this technology.

CLOUD TECHNOLOGIES OF MONITORING OF THE QUALITY OF TRAINING OF WORKERS OF RAILWAY PROFILE

Directory of Open Access Journals (Sweden)

Tetyana Bondarenko

2016-06-01

Full Text Available With the purpose of creating the system of monitoring of the quality of professional training of future workers of railway profile, the author puts forward a technology of using cloud services of the search system of Google. The article proves that the system provides a complex support of monitoring, from creating appropriate forms and storing of the results in cloud storage to the\\processing of results of the monitoring and management of the system of testing on the basis of using the service of Google-Calendar. In the article there has been considered the usage of the concept of BYOD for testing of students’ achievement. The article demonstrates the advantages of  the proposed approach to monitoring the quality of training of future workers of railway profile highlighting  the usage of the cloud services of the search system of Google as a means of  expanding the boundaries of research in space and time and making the procedure more flexible and systematic.

Raman Spectroscopy for In-Line Water Quality Monitoring — Instrumentation and Potential

Science.gov (United States)

Li, Zhiyun; Deen, M. Jamal; Kumar, Shiva; Selvaganapathy, P. Ravi

2014-01-01

Worldwide, the access to safe drinking water is a huge problem. In fact, the number of persons without safe drinking water is increasing, even though it is an essential ingredient for human health and development. The enormity of the problem also makes it a critical environmental and public health issue. Therefore, there is a critical need for easy-to-use, compact and sensitive techniques for water quality monitoring. Raman spectroscopy has been a very powerful technique to characterize chemical composition and has been applied to many areas, including chemistry, food, material science or pharmaceuticals. The development of advanced Raman techniques and improvements in instrumentation, has significantly improved the performance of modern Raman spectrometers so that it can now be used for detection of low concentrations of chemicals such as in-line monitoring of chemical and pharmaceutical contaminants in water. This paper briefly introduces the fundamentals of Raman spectroscopy, reviews the development of Raman instrumentations and discusses advanced and potential Raman techniques for in-line water quality monitoring. PMID:25230309

Optimizing an estuarine water quality monitoring program through an entropy-based hierarchical spatiotemporal Bayesian framework

Science.gov (United States)

Alameddine, Ibrahim; Karmakar, Subhankar; Qian, Song S.; Paerl, Hans W.; Reckhow, Kenneth H.

2013-10-01

The total maximum daily load program aims to monitor more than 40,000 standard violations in around 20,000 impaired water bodies across the United States. Given resource limitations, future monitoring efforts have to be hedged against the uncertainties in the monitored system, while taking into account existing knowledge. In that respect, we have developed a hierarchical spatiotemporal Bayesian model that can be used to optimize an existing monitoring network by retaining stations that provide the maximum amount of information, while identifying locations that would benefit from the addition of new stations. The model assumes the water quality parameters are adequately described by a joint matrix normal distribution. The adopted approach allows for a reduction in redundancies, while emphasizing information richness rather than data richness. The developed approach incorporates the concept of entropy to account for the associated uncertainties. Three different entropy-based criteria are adopted: total system entropy, chlorophyll-a standard violation entropy, and dissolved oxygen standard violation entropy. A multiple attribute decision making framework is adopted to integrate the competing design criteria and to generate a single optimal design. The approach is implemented on the water quality monitoring system of the Neuse River Estuary in North Carolina, USA. The model results indicate that the high priority monitoring areas identified by the total system entropy and the dissolved oxygen violation entropy criteria are largely coincident. The monitoring design based on the chlorophyll-a standard violation entropy proved to be less informative, given the low probabilities of violating the water quality standard in the estuary.

Ultrasonic Real-Time Quality Monitoring Of Aluminum Spot Weld Process

Science.gov (United States)

Perez Regalado, Waldo Josue

The real-time ultrasonic spot weld monitoring system, introduced by our research group, has been designed for the unsupervised quality characterization of the spot welding process. It comprises the ultrasonic transducer (probe) built into one of the welding electrodes and an electronics hardware unit which gathers information from the transducer, performs real-time weld quality characterization and communicates with the robot programmable logic controller (PLC). The system has been fully developed for the inspection of spot welds manufactured in steel alloys, and has been mainly applied in the automotive industry. In recent years, a variety of materials have been introduced to the automotive industry. These include high strength steels, magnesium alloys, and aluminum alloys. Aluminum alloys have been of particular interest due to their high strength-to-weight ratio. Resistance spot welding requirements for aluminum vary greatly from those of steel. Additionally, the oxide film formed on the aluminum surface increases the heat generation between the copper electrodes and the aluminum plates leading to accelerated electrode deterioration. Preliminary studies showed that the real-time quality inspection system was not able to monitor spot welds manufactured with aluminum. The extensive experimental research, finite element modelling of the aluminum welding process and finite difference modeling of the acoustic wave propagation through the aluminum spot welds presented in this dissertation, revealed that the thermodynamics and hence the acoustic wave propagation through an aluminum and a steel spot weld differ significantly. For this reason, the hardware requirements and the algorithms developed to determine the welds quality from the ultrasonic data used on steel, no longer apply on aluminum spot welds. After updating the system and designing the required algorithms, parameters such as liquid nugget penetration and nugget diameter were available in the ultrasonic data

The Danish air quality monitoring programme. Annual summary for 2011

Energy Technology Data Exchange (ETDEWEB)

Ellemann, T.; Klenoe Noejgaard, J.; Nordstroem, C.; Brandt, J.; Christensen, Jesper; Ketzel, M.; Solvang Jensen, S.

2012-10-15

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality Monitoring network. The aim is to follow the concentration levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the trends, to perform source apportionment, and to understand the governing processes that determine the level of air pollution in Denmark. In 2011 the air quality was measured in four Danish cities and at two background sites. In addition model calculations were carried out to supplement the measurements. At one street station (H.C. Andersens Boulevard) in Copenhagen NO{sub 2} was found in concentrations above EU limit values while NO{sub 2} levels in Odense, Aarhus and Aalborg were below the limit value. Model calculations indicate exceedances of NO{sub 2} limit values at several streets in Copenhagen. Annual averages of PM{sub 10} and PM{sub 2.5} were below limit values at all stations. However, concentrations levels in Copenhagen exceeded the daily limit value for PM{sub 10}. Winter salting of roads was one of the main reasons for this exceedance. The concentrations for most pollutants have been strongly decreasing during the last decades, however, only a slight decrease has been observed for NO{sub 2} and O{sub 3}. (Author)

Quality of care in reproductive health programmes: monitoring and evaluation of quality improvement.

Science.gov (United States)

Kwast, B E

1998-12-01

As 200 million women become pregnant every year, at least 30 million will develop life-threatening complications requiring emergency treatment at any level of society where they live. But it is a basic human right that pregnancy be made safe for all women as complications are mostly unpredictable. This requires reproductive health programmes which are responsive to women's and their families' needs and expectations on the one hand and enhancement of community participation, high quality obstetric services, and both provider collaboration and satisfaction on the other. Monitoring and evaluation of these facets need to be an integral part of any safe motherhood programme, not only to assess progress, but also to use this information for subsequent planning and implementation cycles of national programmes. Lessons learned from ten years' implementation of Safe Motherhood programmes indicate that process and outcome indicators are more feasible for short-term evaluation purposes than impact indicators, such as maternal mortality reduction. The former are described in this paper with relevant country examples. This is the third, and last, article in a series on quality of care in reproductive health programmes. The first (Kwast 1998a) contains an overview of concepts, assessments, barriers and improvements of quality of care. The second (Kwast 1998b) addresses education issues for quality improvement.

Multidimensional Databases and Data Warehousing

DEFF Research Database (Denmark)

Jensen, Christian S.; Pedersen, Torben Bach; Thomsen, Christian

The present book's subject is multidimensional data models and data modeling concepts as they are applied in real data warehouses. The book aims to present the most important concepts within this subject in a precise and understandable manner. The book's coverage of fundamental concepts includes...

Background elimination methods for multidimensional coincidence γ-ray spectra

International Nuclear Information System (INIS)

Morhac, M.

1997-01-01

In the paper new methods to separate useful information from background in one, two, three and multidimensional spectra (histograms) measured in large multidetector γ-ray arrays are derived. The sensitive nonlinear peak clipping algorithm is the basis of the methods for estimation of the background in multidimensional spectra. The derived procedures are simple and therefore have a very low cost in terms of computing time. (orig.)

Trance, Transparency and Transformation: The Impact of External Quality Monitoring on Higher Education.

Science.gov (United States)

Stensaker, Bjorn

2003-01-01

Discusses the impact of external quality monitoring (EQM) on higher education and identifies areas in which changes have taken place as a result of such external initiatives. Suggests that the lack of effects related directly to quality improvement should not be conceived as an EQM design error, but rather as a misconception of how organizational…

Structural diversity: a multi-dimensional approach to assess recreational services in urban parks.

Science.gov (United States)

Voigt, Annette; Kabisch, Nadja; Wurster, Daniel; Haase, Dagmar; Breuste, Jürgen

2014-05-01

Urban green spaces provide important recreational services for urban residents. In general, when park visitors enjoy "the green," they are in actuality appreciating a mix of biotic, abiotic, and man-made park infrastructure elements and qualities. We argue that these three dimensions of structural diversity have an influence on how people use and value urban parks. We present a straightforward approach for assessing urban parks that combines multi-dimensional landscape mapping and questionnaire surveys. We discuss the method as well the results from its application to differently sized parks in Berlin and Salzburg.

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...

Multidimensional Poverty and Health Status as a Predictor of Chronic Income Poverty.

Science.gov (United States)

Callander, Emily J; Schofield, Deborah J

2015-12-01

Longitudinal analysis of Wave 5 to 10 of the nationally representative Household, Income and Labour Dynamics in Australia dataset was undertaken to assess whether multidimensional poverty status can predict chronic income poverty. Of those who were multidimensionally poor (low income plus poor health or poor health and insufficient education attainment) in 2007, and those who were in income poverty only (no other forms of disadvantage) in 2007, a greater proportion of those in multidimensional poverty continued to be in income poverty for the subsequent 5 years through to 2012. People who were multidimensionally poor in 2007 had 2.17 times the odds of being in income poverty each year through to 2012 than those who were in income poverty only in 2005 (95% CI: 1.23-3.83). Multidimensional poverty measures are a useful tool for policymakers to identify target populations for policies aiming to improve equity and reduce chronic disadvantage. Copyright © 2014 John Wiley & Sons, Ltd.

Biowaste home composting: experimental process monitoring and quality control.

Science.gov (United States)

Tatàno, Fabio; Pagliaro, Giacomo; Di Giovanni, Paolo; Floriani, Enrico; Mangani, Filippo

2015-04-01

Because home composting is a prevention option in managing biowaste at local levels, the objective of the present study was to contribute to the knowledge of the process evolution and compost quality that can be expected and obtained, respectively, in this decentralized option. In this study, organized as the research portion of a provincial project on home composting in the territory of Pesaro-Urbino (Central Italy), four experimental composters were first initiated and temporally monitored. Second, two small sub-sets of selected provincial composters (directly operated by households involved in the project) underwent quality control on their compost products at two different temporal steps. The monitored experimental composters showed overall decreasing profiles versus composting time for moisture, organic carbon, and C/N, as well as overall increasing profiles for electrical conductivity and total nitrogen, which represented qualitative indications of progress in the process. Comparative evaluations of the monitored experimental composters also suggested some interactions in home composting, i.e., high C/N ratios limiting organic matter decomposition rates and final humification levels; high moisture contents restricting the internal temperature regime; nearly horizontal phosphorus and potassium evolutions contributing to limit the rates of increase in electrical conductivity; and prolonged biowaste additions contributing to limit the rate of decrease in moisture. The measures of parametric data variability in the two sub-sets of controlled provincial composters showed decreased variability in moisture, organic carbon, and C/N from the seventh to fifteenth month of home composting, as well as increased variability in electrical conductivity, total nitrogen, and humification rate, which could be considered compatible with the respective nature of decreasing and increasing parameters during composting. The modeled parametric kinetics in the monitored experimental

Quality in the provision of headache care. 2: defining quality and its indicators.

Science.gov (United States)

Peters, Michele; Jenkinson, Crispin; Perera, Suraj; Loder, Elizabeth; Jensen, Rigmor; Katsarava, Zaza; Gil Gouveia, Raquel; Broner, Susan; Steiner, Timothy

2012-08-01

The objective of this study was to define "quality" of headache care, and develop indicators that are applicable in different settings and cultures and to all types of headache. No definition of quality of headache care has been formulated. Two sets of quality indicators, proposed in the US and UK, are limited to their localities and/or specific to migraine and their development received no input from people with headache. We first undertook a literature review. Then we conducted a series of focus-group consultations with key stakeholders (doctors, nurses and patients) in headache care. From the findings we proposed a large number of putative quality indicators, and refined these and reduced their number in consultations with larger international groups of stakeholder representatives. We formulated a definition of quality from the quality indicators. Five main themes were identified: (1) headache services; (2) health professionals; (3) patients; (4) financial resources; (5) political agenda and legislation. An initial list of 160 putative quality indicators in 14 domains was reduced to 30 indicators in 9 domains. These gave rise to the following multidimensional definition of quality of headache care: "Good-quality headache care achieves accurate diagnosis and individualized management, has appropriate referral pathways, educates patients about their headaches and their management, is convenient and comfortable, satisfies patients, is efficient and equitable, assesses outcomes and is safe." Quality in headache care is multidimensional and resides in nine essential domains that are of equal importance. The indicators are currently being tested for feasibility of use in clinical settings.

James Bay air quality study : report on the results of field monitoring in 2007

Energy Technology Data Exchange (ETDEWEB)

NONE

2008-02-08

An air quality study in James Bay was conducted, in order to establish general levels of pollutants in outdoor air in the James Bay area of Victoria, British Columbia. The primary sources of air pollution in the area include light duty and heavy duty vehicle traffic, helicopters, floatplanes, and marine vessels such as cruise ships, passenger ferries, commercial fishing and whale watching boats, and recreation motorboats. Air quality monitoring represented the first phase of the project. The second phase involved a detailed pollutant dispersion model including all emission sources. This report described the use of sampling equipment and the measurement of nitric oxide, nitrogen dioxide, sulfur dioxide, fine particulate matter and contributing sources, and volatile organic compounds, specifically benzene, toluene, ethylbenzene/xylene and naphthalene. Supporting data, including traffic counts, wind speed and direction, precipitation, and cruise ship schedules were collected to assist in the interpretation of the field monitoring results. For each of these pollutants, the report provided responses to several questions, such as defining each pollutant; describing the sources of each pollutant in the James Bay neighbourhood; presenting the results of the field monitoring; discussing the limitations of the monitoring equipment and sampling design; interpreting the results; comparing monitored levels to those measured at other times or locations; and comparing monitored levels to air quality standards or guidelines. Conclusions about each pollutant were presented. It was concluded that phase 2 pollutant dispersion modelling should include estimates of 1-hour, 24-hour, and seasonal average pollutant levels at varying elevations above ground level, with a focus on residential apartment buildings in the study area. 5 tabs., 52 figs., 7 appendices.

Environmental protection management by monitoring the surface water quality in Semenic area

Directory of Open Access Journals (Sweden)

Dana SÂMBOTIN

2011-08-01

Full Text Available Environment seems to have been the war against all. In fact recently most people polluted the environment and those few are cared for his cleaning. Today, the relationship evolvedas societies have changed in favour of ensuring environmental protection. With modern technology, performance, monitoring the environment becomes part of human activity ever more necessary, more possible and more efficient. The quality of the environment, its components: air, water, soil, plants, vegetable and animal products, is a condition "sine qua non" for the life of the modern man. The consequences of environmental pollution areso dangerous that modern man cannot afford considering them. Through this paper I will study the environmental quality by monitoring the surfaces waters from the Semenic- Gărâna area.

Optimum Layout for Water Quality Monitoring Stations through Ant Colony Algorithm

Directory of Open Access Journals (Sweden)

Amin Afshar

2006-09-01

Full Text Available Due to the high cost of monitoring systems, budget limitations, and high priority given to water quality control in municipal networks, especially for unexpected events, optimum location of monitoring stations has received considerable attention during the last decade. An optimization model needs to be developed for the desirable location of monitoring stations. This research attempts to develop such a model using Ant Colony Optimization (ACO algorithm and tires to verify it through a bench-mark classical example used in previous researches. Selection of ACO as optimizer was fully justified due to discrete decision space and extensive number of binary variables in modeling system. Diversity of the policies derived from ACO may facilitate the process of decision making considering the social, physical, and economical conditions.

Air quality monitoring in the Bow Corridor : final report December 1999 to August 2001. On-line ed.

International Nuclear Information System (INIS)

2001-01-01

Alberta Environment monitored the air quality of the Bow Corridor and the Cochrane area from December 1999 to August 2001 in an effort to address recent concerns about particulate emissions from industrial, natural and domestic sources as well as concerns about air pollution from traffic along Highway 1 and in communities in the corridor. The Mobile Air Monitoring Laboratory (MAML) monitored air quality at 22 sites in the Cochrane, Exshaw, Canmore and Banff areas. The work included monitoring for sulphur dioxide, particulates, oxides of nitrogen, ozone, hydrocarbons, carbon monoxide, hydrogen sulphide and ammonia using continuous analyzers. In addition, a stationary particulate sampler was used to monitor very small, respirable particulates (PM2.5) as well as larger, inhalable particulates (PM10). Weather parameters such as wind, temperature and relative humidity were also monitored. A passive (no power required) air quality monitoring network was also set up to collect monthly samples of sulphur dioxide at 7 sites and nitrogen dioxide and ozone at 11 different sites. The pollutant levels were compared with air quality levels to Alberta's Ambient Air Quality Guidelines which are some of the most stringent in North America. Maximum one-hour concentrations were : 53 per cent of the one-hour guideline for sulphur dioxide; 15 per cent of the one-hour guideline for nitrogen dioxide; 68 per cent of the one-hour guideline for ozone; 8 per cent of the one-hour guideline for carbon monoxide; 20 per cent of the one-hour guideline for hydrogen sulphide; and 2 per cent of the one-hour guideline for ammonia. These air quality levels were compared to other locations in Alberta. The sources of airborne particulates were wind-blown dust from natural sources, limestone mining operations, manufacturing plants (cement, lime and magnesia), vehicle exhaust from local traffic and Highway 1, and smoke from recreational burning and forest fires. The sources of oxides of nitrogen are

Towards Optimal Multi-Dimensional Query Processing with BitmapIndices

Energy Technology Data Exchange (ETDEWEB)

Rotem, Doron; Stockinger, Kurt; Wu, Kesheng

2005-09-30

Bitmap indices have been widely used in scientific applications and commercial systems for processing complex, multi-dimensional queries where traditional tree-based indices would not work efficiently. This paper studies strategies for minimizing the access costs for processing multi-dimensional queries using bitmap indices with binning. Innovative features of our algorithm include (a) optimally placing the bin boundaries and (b) dynamically reordering the evaluation of the query terms. In addition, we derive several analytical results concerning optimal bin allocation for a probabilistic query model. Our experimental evaluation with real life data shows an average I/O cost improvement of at least a factor of 10 for multi-dimensional queries on datasets from two different applications. Our experiments also indicate that the speedup increases with the number of query dimensions.

LHCb RICH Online-Monitor and Data-Quality

CERN Multimedia

Kerzel, U

2009-01-01

The LHCb experiment at the LHC (CERN) has been optimised for high precision measurements of the beauty quark sector. Its main objective is to precisely determine and over-constrain the parameters of the CKM mixing matrix, and to search for further sources of CP violation and new physics beyond the Standard Model in rare B-decays. Efficient particle identification at high purities over a wide momentum range from around 1 to ~100GeV/c is vital to many LHCb analyses. Central to the LHCb particle identification strategy are two Ring Imaging CHerenkov (RICH) detectors which use Silica Aerogel and C4F10 and CF4 gas radiators. A rigorous quality control scheme is being developed to insure that the data recorded by the RICH detector meets the stringent requirements of the physics analyses. The talk summarises the LHCb RICH online monitoring and data-quality strategy. Multiple dedicated algorithms are deployed to detect any potential issue already during data-taking ranging from integrity checks, mis-alignments to cha...

PROFILE: Integrating Stressor and Response Monitoring into a Resource-Based Water-Quality Assessment Framework.

Science.gov (United States)

ROUX; KEMPSTER; KLEYNHANS; VAN; DU

1999-01-01

/ South African water law as well as the country's water resource management policies are currently under review. The Water Law Principles, which were established as part of this review process, indicate a commitment to sustainable development of water resources and the protection of an ecological "reserve." Such policy goals highlight the limitations of traditional and current water-quality management strategies, which rely on stressor monitoring and associated regulation of pollution. The concept of an assimilative capacity is central to the implementation of the current water-quality management approach. Weaknesses inherent in basing water management on the concept of assimilative capacity are discussed. Response monitoring is proposed as a way of addressing some of the weaknesses. Following a global trend, the new policy goals emphasize the need to protect rather than to use the ability of ecosystems to recover from disturbances. This necessitates the adoption of response measurements to quantify ecological condition and monitor ecological change. Response monitoring focuses on properties that are essential to the sustainability of the ecosystem. These monitoring tools can be used to establish natural ranges of ecological change within ecosystems, as well as to quantify conceptually acceptable and unacceptable ranges of change. Through a framework of biological criteria and biological impairment standards, the results of response monitoring can become an integral part of future water resource management strategies in South Africa. KEY WORDS: Stressor monitoring; Response monitoring; Assimilative capacity; Ecosystem stability; Resilience; Biocriteria

European intercomparison workshops on air quality monitoring. Vol. 4. Measuring NO, NO{sub 2}, O{sub 3} and SO{sub 2}

Energy Technology Data Exchange (ETDEWEB)

Muecke, H.G.; Kollar, M. [Umweltbundesamt, Berlin (Germany). WHO-Zentrum zur Ueberwachung der Luftguete und Bekaempfung der Luftverschmutzung; Kratz, M.; Medem, A.; Rudolf, W.; Stummer, V.; Sukale, G. [Umweltbundesamt, Langen (Germany). UBA Pilotstation

2000-07-01

This report presents the results of two European Intercomparison Workshops on Air Quality Monitoring (NO, NO{sub 2}, O{sub 3}, and SO{sub 2}). The Workshops were a contribution to continuing quality assurance and quality control activities on air quality monitoring for Member States of the WHO European Region. Fourteen institutes mainly from Central and Eastern Europe used the opportunity to compare their measurement methods (15 manual methods and 24 monitors) and standards. (orig.)

Bifactor Approach to Modeling Multidimensionality of Physical Self-Perception Profile

Science.gov (United States)

Chung, ChihMing; Liao, Xiaolan; Song, Hairong; Lee, Taehun

2016-01-01

The multi-dimensionality of Physical Self-Perception Profile (PSPP) has been acknowledged by the use of correlated-factor model and second-order model. In this study, the authors critically endorse the bifactor model, as a substitute to address the multi-dimensionality of PSPP. To cross-validate the models, analyses are conducted first in…

The Danish air quality monitoring programme. Annual summary for 2005

International Nuclear Information System (INIS)

Kemp, K.; Ellermann, T.; Palmgren, F.; Waehlin, P.

2006-06-01

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality (LMP) network. The aim has been to follow the concentration levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the trends, to perform source apportionment, and to evaluate the chemical reactions and the dispersion of the pollutants in the atmosphere. In 2005 the air quality was measured in four Danish cities and at two background sites. NO 2 and PM 10 were at several stations found in concentrations above EU limit values, which the Member States have to comply with in 2005 and 2010. While the concentrations for most other pollutants have been strongly decreasing since 1982, only a slight decrease has been observed for NO 2 . (au)

The Danish air quality monitoring programme. Annual summary for 2005

Energy Technology Data Exchange (ETDEWEB)

Kemp, K.; Ellermann, T.; Palmgren, F.; Waehlin, P.

2006-06-15

The air quality in Danish cities has been monitored continuously since 1982 within the Danish Air Quality (LMP) network. The aim has been to follow the concentration levels of toxic pollutants in the urban atmosphere and to provide the necessary knowledge to assess the trends, to perform source apportionment, and to evaluate the chemical reactions and the dispersion of the pollutants in the atmosphere. In 2005 the air quality was measured in four Danish cities and at two background sites. NO{sub 2} and PM{sub 10} were at several stations found in concentrations above EU limit values, which the Member States have to comply with in 2005 and 2010. While the concentrations for most other pollutants have been strongly decreasing since 1982, only a slight decrease has been observed for NO{sub 2}. (au)

Multidimensional quantum entanglement with large-scale integrated optics

DEFF Research Database (Denmark)

Wang, Jianwei; Paesani, Stefano; Ding, Yunhong

2018-01-01

-dimensional entanglement. A programmable bipartite entangled system is realized with dimension up to 15 × 15 on a large-scale silicon-photonics quantum circuit. The device integrates more than 550 photonic components on a single chip, including 16 identical photon-pair sources. We verify the high precision, generality......The ability to control multidimensional quantum systems is key for the investigation of fundamental science and for the development of advanced quantum technologies. We demonstrate a multidimensional integrated quantum photonic platform able to generate, control and analyze high...

The development of sensors and techniques for in situ water quality monitoring

Science.gov (United States)

Liu, C. C.

1976-01-01

Enzyme electrodes and chloride ion electrodes were investigated for in situ monitoring of water quality. Preliminary results show that miniature chloride ion electrodes and a phenol sensor are most promising in determining trace contaminants in water.

Simulation of a Multidimensional Input Quantum Perceptron

Science.gov (United States)

Yamamoto, Alexandre Y.; Sundqvist, Kyle M.; Li, Peng; Harris, H. Rusty

2018-06-01

In this work, we demonstrate the improved data separation capabilities of the Multidimensional Input Quantum Perceptron (MDIQP), a fundamental cell for the construction of more complex Quantum Artificial Neural Networks (QANNs). This is done by using input controlled alterations of ancillary qubits in combination with phase estimation and learning algorithms. The MDIQP is capable of processing quantum information and classifying multidimensional data that may not be linearly separable, extending the capabilities of the classical perceptron. With this powerful component, we get much closer to the achievement of a feedforward multilayer QANN, which would be able to represent and classify arbitrary sets of data (both quantum and classical).

On multidimensional item response theory -- a coordinate free approach

OpenAIRE

Antal, Tamás

2007-01-01

A coordinate system free definition of complex structure multidimensional item response theory (MIRT) for dichotomously scored items is presented. The point of view taken emphasizes the possibilities and subtleties of understanding MIRT as a multidimensional extension of the ``classical'' unidimensional item response theory models. The main theorem of the paper is that every monotonic MIRT model looks the same; they are all trivial extensions of univariate item response theory.

An Analysis of Multi-dimensional Gender Inequality in Pakistan

OpenAIRE

Abdul Hamid; Aisha M. Ahmed

2011-01-01

Women make almost half of the population of Pakistan. They also contribute significantly to economic and social growth. However, in developing countries like Pakistan, women usually suffer from multidimensional inequality of opportunities leading to multidimensional poverty. The dimensions of family, women identity, health, education and women access to economic resources and employment contribute significantly to the discrimination of women. The provision of more opportunities to women in th...

Biological monitoring and selected trends in environmental quality

International Nuclear Information System (INIS)

Suffern, J.S.; West, D.C.; Kemp, H.T.; Burgess, R.L.

1976-10-01

Under a contract with the President's Council on Environmental Quality, the National Inventory of Selected Biological Monitoring Programs at ORNL was used to identify documented environmental trends. Fish population trends were described for the Great Lakes and the Colorado River system. Trends in amphibian populations in the northeast were examined and correlated with acid precipitation. Increases in breeding success among large birds of prey were correlated with reductions in ambient levels of DDT and its residues. Geographic variation in PCB contamination was examined along with differences between aquatic and terrestrial contamination levels. Changes in air quality were documented, and their effects on plant viability were outlined. Trends in the biological effects of environmental deposition of lead were documented. Long-term changes in forest structure in the southeast were presented, and a general reduction in wildlife habitat, associated with land use practices, was documented for several areas in the US

Choices in recreational water quality monitoring: new opportunities and health risk trade-offs

Science.gov (United States)

Nevers, Meredith B.; Byappanahalli, Muruleedhara N.; Whitman, Richard L.

2013-01-01

With the recent release of new recreational water quality monitoring criteria, there are more options for regulatory agencies seeking to protect beachgoers from waterborne pathogens. Included are methods that can reduce analytical time, providing timelier estimates of water quality, but the application of these methods has not been examined at most beaches for expectation of health risk and management decisions. In this analysis, we explore health and monitoring outcomes expected at Lake Michigan beaches using protocols for indicator bacteria including culturable Escherichia coli (E. coli; EC), culturable enterococci (ENT), and enterococci as analyzed by qPCR (QENT). Correlations between method results were generally high, except at beaches with historically high concentrations of EC. The “beach action value” was exceeded most often when using EC or ENT as the target indicator; QENT exceeded the limit far less frequently. Measured water quality between years was varied. Although methods with equivalent health expectation have been established, the lack of relationship among method outcomes and annual changes in mean indicator bacteria concentrations complicates the decision-making process. The monitoring approach selected by beach managers may be a combination of available tools that maximizes timely health protection, cost efficiency, and collaboration among beach jurisdictions.

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

) 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...... particular sensitive towards water quality deterioration. The analysis revealed sampling locations within steady clusters, which increased samples' comparability over time. Furthermore, the method provided a simplified overview of water movement in complex distribution networks, and could assist...

A Multidimensional Software Engineering Course

Science.gov (United States)

Barzilay, O.; Hazzan, O.; Yehudai, A.

2009-01-01

Software engineering (SE) is a multidimensional field that involves activities in various areas and disciplines, such as computer science, project management, and system engineering. Though modern SE curricula include designated courses that address these various subjects, an advanced summary course that synthesizes them is still missing. Such a…

Results from the Big Spring basin water quality monitoring and demonstration projects, Iowa, USA

Science.gov (United States)

Rowden, R.D.; Liu, H.; Libra, R.D.

2001-01-01

Agricultural practices, hydrology, and water quality of the 267-km2 Big Spring groundwater drainage basin in Clayton County, Iowa, have been monitored since 1981. Land use is agricultural; nitrate-nitrogen (-N) and herbicides are the resulting contaminants in groundwater and surface water. Ordovician Galena Group carbonate rocks comprise the main aquifer in the basin. Recharge to this karstic aquifer is by infiltration, augmented by sinkhole-captured runoff. Groundwater is discharged at Big Spring, where quantity and quality of the discharge are monitored. Monitoring has shown a threefold increase in groundwater nitrate-N concentrations from the 1960s to the early 1980s. The nitrate-N discharged from the basin typically is equivalent to over one-third of the nitrogen fertilizer applied, with larger losses during wetter years. Atrazine is present in groundwater all year; however, contaminant concentrations in the groundwater respond directly to recharge events, and unique chemical signatures of infiltration versus runoff recharge are detectable in the discharge from Big Spring. Education and demonstration efforts have reduced nitrogen fertilizer application rates by one-third since 1981. Relating declines in nitrate and pesticide concentrations to inputs of nitrogen fertilizer and pesticides at Big Spring is problematic. Annual recharge has varied five-fold during monitoring, overshadowing any water-quality improvements resulting from incrementally decreased inputs. ?? Springer-Verlag 2001.

A review of snapshot multidimensional optical imaging: Measuring photon tags in parallel

Energy Technology Data Exchange (ETDEWEB)

Gao, Liang, E-mail: gaol@illinois.edu [Department of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign, 306 N. Wright St., Urbana, IL 61801 (United States); Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, 405 North Mathews Avenue, Urbana, IL 61801 (United States); Wang, Lihong V., E-mail: lhwang@wustl.edu [Optical imaging laboratory, Department of Biomedical Engineering, Washington University in St. Louis, One Brookings Dr., MO, 63130 (United States)

2016-02-29

Multidimensional optical imaging has seen remarkable growth in the past decade. Rather than measuring only the two-dimensional spatial distribution of light, as in conventional photography, multidimensional optical imaging captures light in up to nine dimensions, providing unprecedented information about incident photons’ spatial coordinates, emittance angles, wavelength, time, and polarization. Multidimensional optical imaging can be accomplished either by scanning or parallel acquisition. Compared with scanning-based imagers, parallel acquisition–also dubbed snapshot imaging–has a prominent advantage in maximizing optical throughput, particularly when measuring a datacube of high dimensions. Here, we first categorize snapshot multidimensional imagers based on their acquisition and image reconstruction strategies, then highlight the snapshot advantage in the context of optical throughput, and finally we discuss their state-of-the-art implementations and applications.

Electric Sensors for Express-Method Checking of Liquid Quality Level Monitoring

Directory of Open Access Journals (Sweden)

Petro STOLYARCHUK

2010-02-01

Full Text Available The research covered in the suggested article is meant for ecological monitoring in the broad sense. The express-method of water solution quality level estimation and the technique of fast response to the quality level of industrial, agricultural and domestic wastewaters along with food products are proposed. The novelty of the proposed technique roots in the implementation of suggested methods and means of electric parameter measurement aimed at the quality index controlling of nonelectric qualimetry objects. Relevant research includes the exploration of water-solutions as well as different-level purification of industrial and domestic spillage waters, colloid solutions (cream, milk with the known contaminants, mixtures of superficially active substances and chlorine-containing substances.

Proposed Strategy for San Joaquin River Basin Water Quality Monitoring and Assessment

Science.gov (United States)

A Proposed Strategy for San Joaquin River Basin Water Quality Monitoring and Assessment was published in 2010, and a Strawman Proposal was developed in 2012 by the Coalition for Urban/Rural Environmental Stewardship, California Water Resources Board, EPA.

Tailoring groundwater quality monitoring to vulnerability: a GIS procedure for network design.

Science.gov (United States)

Preziosi, E; Petrangeli, A B; Giuliano, G

2013-05-01

Monitoring networks aiming to assess the state of groundwater quality and detect or predict changes could increase in efficiency when fitted to vulnerability and pollution risk assessment. The main purpose of this paper is to describe a methodology aiming at integrating aquifers vulnerability and actual levels of groundwater pollution in the monitoring network design. In this study carried out in a pilot area in central Italy, several factors such as hydrogeological setting, groundwater vulnerability, and natural and anthropogenic contamination levels were analyzed and used in designing a network tailored to the monitoring objectives, namely, surveying the evolution of groundwater quality relating to natural conditions as well as to polluting processes active in the area. Due to the absence of an aquifer vulnerability map for the whole area, a proxi evaluation of it was performed through a geographic information system (GIS) methodology, leading to the so called "susceptibility to groundwater quality degradation". The latter was used as a basis for the network density assessment, while water points were ranked by several factors including discharge, actual contamination levels, maintenance conditions, and accessibility for periodical sampling in order to select the most appropriate to the network. Two different GIS procedures were implemented which combine vulnerability conditions and water points suitability, producing two slightly different networks of 50 monitoring points selected out of the 121 candidate wells and springs. The results are compared with a "manual" selection of the points. The applied GIS procedures resulted capable to select the requested number of water points from the initial set, evaluating the most confident ones and an appropriate density. Moreover, it is worth underlining that the second procedure (point distance analysis [PDA]) is technically faster and simpler to be performed than the first one (GRID + PDA).

A Survey on Quality of Service Monitoring and Analysis of Network of Agricultural Science and Technology Resources

OpenAIRE

Jian , Ma

2014-01-01

International audience; First, current situation on Network of agricultural science and technology resources is described. Then we pay much attention to the quality of service monitoring and analysis system of network resources. And finally, we come to the conclusion that the construction of Quality of service monitoring, analysis of network of agricultural science and technology resources is in great need.

Toward youth self-report of health and quality of life in population monitoring.

Science.gov (United States)

Topolski, Tari D; Edwards, Todd C; Patrick, Donald L

2004-01-01

This paper addresses population monitoring of youth health and quality of life, including the concepts used, methodological and practical criteria for indicators, and existing surveys and measures. Current population surveys of youth generally focus on poor health, such as disability or health-risk behaviors. Although these are important end points, indicators of illness or risk do not reflect the health or life perspective of the majority of youth who do not experience health problems. The measures used to monitor youth health should be appropriate and sensitive to future needs and capture the perspectives of youths. Two potential concepts for this "scorecard" are self-perceived health and quality of life, which have been shown to be useful in adults. For youth, the quality of life framework seems particularly relevant as it incorporates both positive and negative aspects of health and well-being and also captures salient aspects of health other than physical health, such as sense of self, social relationships, environment and culture, and life satisfaction.

Hydrologic and water quality monitoring on Turkey Creek watershed, Francis Marion National Forest, SC

Science.gov (United States)

D.M. Amatya; T.J. Callahan; A. Radecki-Pawlik; P. Drewes; C. Trettin; W.F. Hansen

2008-01-01

The re-initiation of a 7,260 ha forested watershed study on Turkey Creek, a 3rd order stream, within the Francis Marion National forest in South Carolina, completes the development of a multi-scale hydrology and ecosystem monitoring framework in the Atlantic Coastal Plain. Hydrology and water quality monitoring began on the Santee Experimental...

The Quality Assurance_Quality Control of the Monitored Drift Tubes at the HEP Laboratory of the National Technical University of Athens

CERN Document Server

Alexopoulos, T; Dris, M; Filippas, A V; Fokitis, E; Gazis, E N; Katsoufis, E C; Maltezos, A; Maltezos, S; Papadopoulos, E; Papadopoulou, T D; Savva, Panagiota S; Stavropoulos, G D; Tsipolitis, G; Tzamariudaki, E

2001-01-01

The description of the Quality Assurance and Quality Control (QA_QC) procedures for the Monitored Drift Tubes (MDT's) followed at the HEP Laboratory of NTUA are presented and results of the tested tubes are given. The MDT's are the elements from which muon chambers for the ATLAS/LHC Muon Spectrometer are built..

Quality-by-design III: application of near-infrared spectroscopy to monitor roller compaction in-process and product quality attributes of immediate release tablets.

Science.gov (United States)

Kona, Ravikanth; Fahmy, Raafat M; Claycamp, Gregg; Polli, James E; Martinez, Marilyn; Hoag, Stephen W

2015-02-01

The objective of this study is to use near-infrared spectroscopy (NIRS) coupled with multivariate chemometric models to monitor granule and tablet quality attributes in the formulation development and manufacturing of ciprofloxacin hydrochloride (CIP) immediate release tablets. Critical roller compaction process parameters, compression force (CFt), and formulation variables identified from our earlier studies were evaluated in more detail. Multivariate principal component analysis (PCA) and partial least square (PLS) models were developed during the development stage and used as a control tool to predict the quality of granules and tablets. Validated models were used to monitor and control batches manufactured at different sites to assess their robustness to change. The results showed that roll pressure (RP) and CFt played a critical role in the quality of the granules and the finished product within the range tested. Replacing binder source did not statistically influence the quality attributes of the granules and tablets. However, lubricant type has significantly impacted the granule size. Blend uniformity, crushing force, disintegration time during the manufacturing was predicted using validated PLS regression models with acceptable standard error of prediction (SEP) values, whereas the models resulted in higher SEP for batches obtained from different manufacturing site. From this study, we were able to identify critical factors which could impact the quality attributes of the CIP IR tablets. In summary, we demonstrated the ability of near-infrared spectroscopy coupled with chemometrics as a powerful tool to monitor critical quality attributes (CQA) identified during formulation development.