WorldWideScience

Sample records for neural-vision based approach

  1. Transaction based approach

    Science.gov (United States)

    Hunka, Frantisek; Matula, Jiri

    2017-07-01

    Transaction based approach is utilized in some methodologies in business process modeling. Essential parts of these transactions are human beings. The notion of agent or actor role is usually used for them. The paper on a particular example describes possibilities of Design Engineering Methodology for Organizations (DEMO) and Resource-Event-Agent (REA) methodology. Whereas the DEMO methodology can be regarded as a generic methodology having its foundation in the theory of Enterprise Ontology the REA methodology is regarded as the domain specific methodology and has its origin in accountancy systems. The results of these approaches is that the DEMO methodology captures everything that happens in the reality with a good empirical evidence whereas the REA methodology captures only changes connected with economic events. Economic events represent either change of the property rights to economic resource or consumption or production of economic resources. This results from the essence of economic events and their connection to economic resources.

  2. [Extended endoscopic endonasal approach to skull base].

    Science.gov (United States)

    López-Arbolay, Omar; González-González, Justo; Rojas-Manresa, Jorge Luis

    2012-11-01

    Different approaches to the skull base have been developed through the sphenoidal sinus. Traditional boundaries of the trans-sphenoidal approach can be extended in antero-posterior and lateral plane. We review our experience with extended endoscopic endonasal approach in 127 cases. We used the extended endoscopic endonasal approach in 127 patients with different lesions of the skull base. This study specifically focuses on: type of lesions, surgical approach, outcome and surgical complications. Extended endoscopic endonasal approach was used in 127 patients with following lesions: 61 invasive adenomas to cavernous sinus, 10 clival chordomas, 21 craniopharyngiomas, 26 meningiomas, 4 cerebrospinal fluid leakages, one meningoencephalocele, 2 malignan lesions and 2 thyroid ophthalmopathy. In tumoral lesions gross total resection was achieved in 82.5%, with better results in craniopharyngiomas 90.5%, followed by invasive adenomas with 85.2%, and meningiomas with 84.6%. The most frequent complications were the insipid (8.6%) diabetes, meningoencefalitis (3.9%) and the hydrocephalic (3.9%). Mortality was 3.9%. The extended endoscopic endonasal approach is a promising minimally invasive alternative for selective cases with skull base lesions. As techniques and technology advance this approach may become the procedure of choice for most lesions and should be considered an option in the management of the patients with these complex pathologies by skull base surgeon. Copyright © 2012 Sociedad Española de Neurocirugía. Published by Elsevier España. All rights reserved.

  3. A practice based approach to forest governance

    NARCIS (Netherlands)

    Arts, Bas; Behagel, Jelle|info:eu-repo/dai/nl/35303696X; Turnhout, Esther; de Koning, Jessica; van Bommel, Séverine

    2014-01-01

    ‘Forest governance’ refers to new modes of regulation in the forest sector, such as decentralized, community-based and market-oriented policy instruments and management approaches. Its main theoretical basis consists of two mainstream models: rational choice and neo-institutionalism. Since these

  4. Ecosystem based approaches to climate adaptation

    DEFF Research Database (Denmark)

    Zandersen, Marianne; Jensen, Anne; Termansen, Mette

    This report analyses the prospects and barriers of applying ecosystem based approaches systematically to climate adaptation in urban areas, taking the case of green roofs in Copenhagen Municipality. It looks at planning aspects of green roofs in Copenhagen as well as citizen views and preferences...... regarding green roofs using policy document analysis, interviews with city planners and deliberative valuation methods....

  5. Ugi-based approaches to quinoxaline libraries.

    Science.gov (United States)

    Azuaje, Jhonny; El Maatougui, Abdelaziz; García-Mera, Xerardo; Sotelo, Eddy

    2014-08-11

    An expedient and concise Ugi-based unified approach for the rapid assembly of quinoxaline frameworks has been developed. This convergent and versatile method uses readily available commercial reagents, does not require advanced intermediates, and exhibits excellent bond-forming efficiency, thus exemplifying the operationally simple synthesis of quinoxaline libraries.

  6. Advanced Approach of Multiagent Based Buoy Communication

    Directory of Open Access Journals (Sweden)

    Gediminas Gricius

    2015-01-01

    Full Text Available Usually, a hydrometeorological information system is faced with great data flows, but the data levels are often excessive, depending on the observed region of the water. The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. The proposed management of buoy communication is based on a clustering algorithm, which enables the performance of the hydrometeorological information system to be enhanced. The experiment is based on the design and analysis of the inexpensive but reliable Baltic Sea autonomous monitoring network (buoys, which would be able to continuously monitor and collect temperature, waviness, and other required data. The proposed approach of multiagent based buoy communication enables all the data from the costal-based station to be monitored with limited transition speed by setting different tasks for the agent-based buoy system according to the clustering information.

  7. Managing projects a team-based approach

    CERN Document Server

    Brown, Karen A

    2010-01-01

    Students today are likely to be assigned to project teams or to be project managers almost immediately in their first job. Managing Projects: A Team-Based Approach was written for a wide range of stakeholders, including project managers, project team members, support personnel, functional mangers who provide resources for projects, project customers (and customer representatives), project sponsors, project subcontractors, and anyone who plays a role in the project delivery process. The need for project management is on the rise as product life cycles compress, demand for IT systems increases, and business takes on an increasingly global character. This book adds to the project management knowledge base in a way that fills an unmet need—it shows how teams can apply many of the standard project management tools, as well as several tools that are relatively new to the field. Managing Projects: A Team-Based Approach offers the academic rigor found in most textbooks along with the practical attributes often foun...

  8. Safer childbirth: a rights-based approach.

    Science.gov (United States)

    Boama, Vincent; Arulkumaran, Sabaratnam

    2009-08-01

    The Millennium Development Goals (MDGs) set very high targets for women's reproductive health through reductions in maternal and infant mortality, among other things. Reductions in maternal mortality and morbidity can be achieved through various different approaches, such as the confidential review of maternal deaths, use of evidence-based treatments and interventions, using a health systems approach, use of information technology, global and regional partnerships, and making pregnancy safer through initiatives that increase the focus on human rights. A combination of these and other approaches can have a synergistic impact on reductions in maternal mortality. This paper highlights some of the current global efforts on safer pregnancy with a focus on reproductive rights. We encourage readers to do more in every corner of the world to advocate for women's reproductive rights and, in this way, we may achieve the MDGs by 2015.

  9. Materiality in a practice-based approach

    DEFF Research Database (Denmark)

    Svabo, Connie

    2009-01-01

    The paper provides an overview of the vocabulary for materiality which is used by practice-based approaches to organizational knowing. Common terms for materiality are 'artifact' and 'object'. The interaction between social and material realities is grasped as several processes: object......-oriented activity, symbolization, embodiment, performance, alignment and mediation. Material artifacts both stabilize and destabilize organizational action. They may ensure coordination, communication, and control, but they may also create disturbance and conflict....

  10. Systems Engineering Interfaces: A Model Based Approach

    Science.gov (United States)

    Fosse, Elyse; Delp, Christopher

    2013-01-01

    Currently: Ops Rev developed and maintains a framework that includes interface-specific language, patterns, and Viewpoints. Ops Rev implements the framework to design MOS 2.0 and its 5 Mission Services. Implementation de-couples interfaces and instances of interaction Future: A Mission MOSE implements the approach and uses the model based artifacts for reviews. The framework extends further into the ground data layers and provides a unified methodology.

  11. Behavioural queuing: an agent based modelling approach

    OpenAIRE

    Sankaranarayanan Karthik; Arturo Delgado-Alvarez Carlos; R Larsen Erik; van Ackere Ann

    2012-01-01

    Queueing research has a plethora of applications and has been an area of study spanning from telecommunications to economics. Traditionally studies on queueing has mainly concentrated on design performance and running of the service facility with customers arriving following a stochastic process. In this paper we take an agent based modeling approach to develop a behavioral model of a queueing system using Cellular Automata (CA). We study how adaptive expectation along with a simple informati...

  12. Developing Wave Encyclopaedia based on Scientific Approach

    Science.gov (United States)

    Nurafifah, A.; Budi, A. S.; Siahaan, B. Z.

    2017-09-01

    Students have many difficulties in understanding to wave propagation. Such difficulties lead to misconceptions also in understanding sound, light, and electromagnetic wave. Meanwhile, students only use the text book as the learning resources. Whereas students need a more varied and interesting learning resources. This study aims to develop a wave encyclopaedia based on scientific approach as the learning resources that tested the feasibility and superiority. The method used is research by design. The steps are (1) analysing learner characteristic, (2) state objective, (3) select media and materials, (4) utilize materials, (5) requires learner participation, (6) evaluation and revision. The wave encyclopaedia is developed by applying the 5 components of a scientific approach that is, observing, questioning, experimenting, associating, and communicating. In this encyclopaedia also includes fun science activities and exciting recommended websites. The encyclopaedia has been validated by material experts, media experts, and learning experts. And then field trials are conducted to assess an impact on use. Overall the development of encyclopaedia based on scientific approach can enhance learning outcomes of students in high school.

  13. Sound Propagation An impedance Based Approach

    CERN Document Server

    Kim, Yang-Hann

    2010-01-01

    In Sound Propagation: An Impedance Based Approach , Professor Yang-Hann Kim introduces acoustics and sound fields by using the concept of impedance. Kim starts with vibrations and waves, demonstrating how vibration can be envisaged as a kind of wave, mathematically and physically. One-dimensional waves are used to convey the fundamental concepts. Readers can then understand wave propagation in terms of characteristic and driving point impedance. The essential measures for acoustic waves, such as dB scale, octave scale, acoustic pressure, energy, and intensity, are explained. These measures are

  14. Trait-based approaches to zooplankton communities

    DEFF Research Database (Denmark)

    Lichtman, E.; Ohman, M.D.; Kiørboe, Thomas

    2013-01-01

    Zooplankton are major primary consumers and predators in most aquatic ecosystems. They exhibit tremendous diversity of traits, ecological strategies and, consequently, impacts on other trophic levels and the cycling of materials and energy. An adequate representation of this diversity in community...... traits, such as body size and motility, transcend several functions and are major determinants of zooplankton ecological strategies. Future developments of trait-based approaches to zooplankton should assemble a comprehensive matrix of key traits for diverse groups and explore it for general patterns...

  15. Creative teaching an evidence-based approach

    CERN Document Server

    Sale, Dennis

    2015-01-01

    This book contains an evidence-based pedagogic guide to enable any motivated teaching/training professional to be able to teach effectively and creatively. It firstly summarises the extensive research field on human psychological functioning relating to learning and how this can be fully utilised in the design and facilitation of quality learning experiences. It then demonstrates what creativity actually 'looks like' in terms of teaching practices, modelling the underpinning processes of creative learning design and how to apply these in lesson planning. The book, having established an evidence-based and pedagogically driven approach to creative learning design, extensively focuses on key challenges facing teaching professionals today. These include utilising information technologies in blended learning formats, differentiating instruction, and developing self-directed learners who can think well. The main purpose of the book is to demystify what it means to teach creatively, explicitly demonstrating the pr...

  16. An Ontology Based Approach to Information Security

    Science.gov (United States)

    Pereira, Teresa; Santos, Henrique

    The semantically structure of knowledge, based on ontology approaches have been increasingly adopted by several expertise from diverse domains. Recently ontologies have been moved from the philosophical and metaphysics disciplines to be used in the construction of models to describe a specific theory of a domain. The development and the use of ontologies promote the creation of a unique standard to represent concepts within a specific knowledge domain. In the scope of information security systems the use of an ontology to formalize and represent the concepts of security information challenge the mechanisms and techniques currently used. This paper intends to present a conceptual implementation model of an ontology defined in the security domain. The model presented contains the semantic concepts based on the information security standard ISO/IEC_JTC1, and their relationships to other concepts, defined in a subset of the information security domain.

  17. Market-based approaches to tree valuation

    Science.gov (United States)

    Geoffrey H. Donovan; David T. Butry

    2008-01-01

    A recent four-part series in Arborist News outlined different appraisal processes used to value urban trees. The final article in the series described the three generally accepted approaches to tree valuation: the sales comparison approach, the cost approach, and the income capitalization approach. The author, D. Logan Nelson, noted that the sales comparison approach...

  18. Toxidrome-based Approach to Common Poisonings

    Directory of Open Access Journals (Sweden)

    Bruno Mégarbane

    2014-03-01

    Full Text Available Poisoning remains a major cause of hospital admission into the emergency department and intensive care unit. Proper diagnosis is the cornerstone for optimal management of poisoned patients. Since the definitive analytical confirmation of the nature of the toxicant involved in the poisoning cannot be rapidly obtained in the majority of healthcare facilities, diagnosis relies on the medical history and the rigorous clinical examination of the patients well as results of the routine biological tests and the electrocardiogram. Identification of the toxidromes addresses not only the correct diagnosis but also rules out other differential diagnoses. Despite no definitive predictive value, this clinical approach facilitates making decision on empirical treatments and emergent antidotes. Pharmacodynamic tests using specific antidotes including naloxone for opioids and flumazenil for benzodiazepines and its analogues are also helpful to assess the final diagnosis in comatose patients. The objective of this article is to review the toxidrome-based approach to common poisonings before toxicological analysis enables the confirmation of the initially suspected toxic etiology.

  19. Wavelet based approach for facial expression recognition

    Directory of Open Access Journals (Sweden)

    Zaenal Abidin

    2015-03-01

    Full Text Available Facial expression recognition is one of the most active fields of research. Many facial expression recognition methods have been developed and implemented. Neural networks (NNs have capability to undertake such pattern recognition tasks. The key factor of the use of NN is based on its characteristics. It is capable in conducting learning and generalizing, non-linear mapping, and parallel computation. Backpropagation neural networks (BPNNs are the approach methods that mostly used. In this study, BPNNs were used as classifier to categorize facial expression images into seven-class of expressions which are anger, disgust, fear, happiness, sadness, neutral and surprise. For the purpose of feature extraction tasks, three discrete wavelet transforms were used to decompose images, namely Haar wavelet, Daubechies (4 wavelet and Coiflet (1 wavelet. To analyze the proposed method, a facial expression recognition system was built. The proposed method was tested on static images from JAFFE database.

  20. Ecosystem-based approach to aquaculture management

    Directory of Open Access Journals (Sweden)

    Patrick White

    2008-12-01

    Full Text Available Ecosystems have real thresholds and limits which, when exceeded, can affect major system restructuring. Once thresholds and limits have been exceeded, changes can be irreversible. Diversity is important to ecosystem functioning. The ecosystem approach is a strategy for the integrated management of land, water, and living resources that promotes conservation and sustainable use in an equitable way. The application of the ecosystem approach will help to reach a balance of the three main objectives: conservation, sustainable use, and a fair and equitable sharing of the benefits and use of the natural resources. Aquaculture development needs to be within the carrying capacity of the water resource so that it is sustainable and does not greatly impact the environment. The determination of the carrying capacity needs to be science-based. The planning of development in ecosystems has been done for freshwater ecosystems within the PAMB (Protected Area Management Board framework, but in many cases this does not give the correct significance to the impact of aquaculture on the water resources in the ecosystem. It also needs to be extended to river basins and estuaries, brackishwater areas, and inland bays, and seas. The planning and management of aquaculture needs to be undertaken at the local government unit (LGU level in a coordinated manner by all the LGUs that have a part of the water resource. The co-management of aquaculture, in terms of monitoring of the environment, monitoring of production, and monitoring of licenses, needs to be funded out of license fees and non-compliance fines collected by the LGUs. A number of these management activities need to be undertaken jointly (monitoring the environment and others separately but in a coordinated manner (e.g., checking licenses and checking compliance.

  1. The Significance of Temperature Based Approach Over the Energy Based Approaches in the Buildings Thermal Assessment

    Science.gov (United States)

    Albatayneh, Aiman; Alterman, Dariusz; Page, Adrian; Moghtaderi, Behdad

    2017-05-01

    The design of low energy buildings requires accurate thermal simulation software to assess the heating and cooling loads. Such designs should sustain thermal comfort for occupants and promote less energy usage over the life time of any building. One of the house energy rating used in Australia is AccuRate, star rating tool to assess and compare the thermal performance of various buildings where the heating and cooling loads are calculated based on fixed operational temperatures between 20 °C to 25 °C to sustain thermal comfort for the occupants. However, these fixed settings for the time and temperatures considerably increase the heating and cooling loads. On the other hand the adaptive thermal model applies a broader range of weather conditions, interacts with the occupants and promotes low energy solutions to maintain thermal comfort. This can be achieved by natural ventilation (opening window/doors), suitable clothes, shading and low energy heating/cooling solutions for the occupied spaces (rooms). These activities will save significant amount of operating energy what can to be taken into account to predict energy consumption for a building. Most of the buildings thermal assessment tools depend on energy-based approaches to predict the thermal performance of any building e.g. AccuRate in Australia. This approach encourages the use of energy to maintain thermal comfort. This paper describes the advantages of a temperature-based approach to assess the building's thermal performance (using an adaptive thermal comfort model) over energy based approach (AccuRate Software used in Australia). The temperature-based approach was validated and compared with the energy-based approach using four full scale housing test modules located in Newcastle, Australia (Cavity Brick (CB), Insulated Cavity Brick (InsCB), Insulated Brick Veneer (InsBV) and Insulated Reverse Brick Veneer (InsRBV)) subjected to a range of seasonal conditions in a moderate climate. The time required for

  2. IPTV inter-destination synchronization: A network-based approach

    NARCIS (Netherlands)

    Stokking, H.M.; Deventer, M.O. van; Niamut, O.A.; Walraven, F.A.; Mekuria, R.N.

    2010-01-01

    This paper introduces a novel network-based approach to inter-destination media synchronization. The approach meets the need for synchronization in advanced TV concepts like social TV and offers high scalability, unlike conventional end-point based approaches. The solution for interdestination media

  3. Nanotechnology based approaches in cancer therapeutics

    Science.gov (United States)

    Kumer Biswas, Amit; Reazul Islam, Md; Sadek Choudhury, Zahid; Mostafa, Asif; Fahim Kadir, Mohammad

    2014-12-01

    The current decades are marked not by the development of new molecules for the cure of various diseases but rather the development of new delivery methods for optimum treatment outcome. Nanomedicine is perhaps playing the biggest role in this concern. Nanomedicine offers numerous advantages over conventional drug delivery approaches and is particularly the hot topic in anticancer research. Nanoparticles (NPs) have many unique criteria that enable them to be incorporated in anticancer therapy. This topical review aims to look at the properties and various forms of NPs and their use in anticancer treatment, recent development of the process of identifying new delivery approaches as well as progress in clinical trials with these newer approaches. Although the outcome of cancer therapy can be increased using nanomedicine there are still many disadvantages of using this approach. We aim to discuss all these issues in this review.

  4. Comparison of effective Hough transform-based fingerprint alignment approaches

    CSIR Research Space (South Africa)

    Mlambo, CS

    2014-08-01

    Full Text Available In this paper, two effective and mostly used Hough Transform (HT) based fingerprint alignment approaches are compared, namely; Local Match Based Alignment (LMBA) and Discretized Rotation Based Alignment (DRBA). The comparison was performed...

  5. Predicting Liaison: an Example-Based Approach

    NARCIS (Netherlands)

    Greefhorst, A.P.M.; Bosch, A.P.J. van den

    2016-01-01

    Predicting liaison in French is a non-trivial problem to model. We compare a memory-based machine-learning algorithm with a rule-based baseline. The memory-based learner is trained to predict whether liaison occurs between two words on the basis of lexical, orthographic, morphosyntactic, and

  6. A practice based approach to forest governance

    NARCIS (Netherlands)

    Arts, B.J.M.; Behagel, J.H.; Turnhout, E.; Koning, de J.; Bommel, van S.

    2014-01-01

    Forest governance’ refers to new modes of regulation in the forest sector, such as decentralized, communitybased and market-oriented policy instruments and management approaches. Its main theoretical basis consists of two mainstream models: rational choice and neo-institutionalism. Since these

  7. Abstract algebra an inquiry based approach

    CERN Document Server

    Hodge, Jonathan K; Sundstrom, Ted

    2013-01-01

    ""This book arose from the authors' approach to teaching abstract algebra. They place an emphasis on active learning and on developing students' intuition through their investigation of examples. … The text is organized in such a way that it is possible to begin with either rings or groups.""-Florentina Chirtes, Zentralblatt MATH 1295

  8. View based approach to forensic face recognition

    NARCIS (Netherlands)

    Dutta, A.; van Rootseler, R.T.A.; Veldhuis, Raymond N.J.; Spreeuwers, Lieuwe Jan

    Face recognition is a challenging problem for surveillance view images commonly encountered in a forensic face recognition case. One approach to deal with a non-frontal test image is to synthesize the corresponding frontal view image and compare it with frontal view reference images. However, it is

  9. Parallel Graph Transformation based on Merged Approach

    Directory of Open Access Journals (Sweden)

    Asmaa Aouat

    2013-01-01

    Full Text Available Graph transformation is one of the key concepts in graph grammar. In order to accelerate the graph transformation, the concept of parallel graph transformation has been proposed by different tools such as AGG tool. The theory of parallel graph transformation used by AGG just allows clarifying the concepts of conflict and dependency between the transformation rules. This work proposes an approach of parallel graph transformations which enables dependent transformation rules to be executed in parallel.

  10. Prior knowledge-based approach for associating ...

    Science.gov (United States)

    Evaluating the potential human health and/or ecological risks associated with exposures to complex chemical mixtures in the ambient environment is one of the central challenges of chemical safety assessment and environmental protection. There is a need for approaches that can help to integrate chemical monitoring and bio-effects data to evaluate risks associated with chemicals present in the environment. We used prior knowledge about chemical-gene interactions to develop a knowledge assembly model for detected chemicals at five locations near two wastewater treatment plants. The assembly model was used to generate hypotheses about the biological impacts of the chemicals at each location. The hypotheses were tested using empirical hepatic gene expression data from fathead minnows exposed for 12 d at each location. Empirical gene expression data was also mapped to the assembly models to statistically evaluate the likelihood of a chemical contributing to the observed biological responses. The prior knowledge approach was able reasonably hypothesize the biological impacts at one site but not the other. Chemicals most likely contributing to the observed biological responses were identified at each location. Despite limitations to the approach, knowledge assembly models have strong potential for associating chemical occurrence with potential biological effects and providing a foundation for hypothesis generation to guide research and/or monitoring efforts relat

  11. Feature selection based classifier combination approach for ...

    Indian Academy of Sciences (India)

    Conditional mutual information based feature selection when driving the ensemble of classifier produces improved recognition results for most of the benchmarking datasets. The improve- ment is also observed with maximum relevance minimum redundancy based feature selection when used in combination with ensemble ...

  12. Problem-Based Learning Approaches in Meteorology

    Science.gov (United States)

    Charlton-Perez, Andrew James

    2013-01-01

    Problem-Based Learning, despite recent controversies about its effectiveness, is used extensively as a teaching method throughout higher education. In meteorology, there has been little attempt to incorporate Problem-Based Learning techniques into the curriculum. Motivated by a desire to enhance the reflective engagement of students within a…

  13. A computationally efficient approach for template matching-based ...

    Indian Academy of Sciences (India)

    Image registration using template matching is an important step in image processing. In this paper, a simple, robust and computationally efficient approach is presented. The proposed approach is based on the properties of a normalized covariance matrix. The main advantage of the proposed approach is that the image ...

  14. Evaluating a Pivot-Based Approach for Bilingual Lexicon Extraction

    Directory of Open Access Journals (Sweden)

    Jae-Hoon Kim

    2015-01-01

    Full Text Available A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vectors represented by words in a pivot language like English. In this paper, in order to show validity and usability of the pivot-based approach, we evaluate the approach in company with two different methods for estimating context vectors: one estimates them from two parallel corpora based on word association between source words (resp., target words and pivot words and the other estimates them from two parallel corpora based on word alignment tools for statistical machine translation. Empirical results on two language pairs (e.g., Korean-Spanish and Korean-French have shown that the pivot-based approach is very promising for resource-poor languages and this approach observes its validity and usability. Furthermore, for words with low frequency, our method is also well performed.

  15. A Combined Approach for Component-based Software Design

    NARCIS (Netherlands)

    Guareis de farias, Cléver; van Sinderen, Marten J.; Ferreira Pires, Luis; Quartel, Dick; Baldoni, R.

    2001-01-01

    Component-based software development enables the construction of software artefacts by assembling binary units of production, distribution and deployment, the so-called software components. Several approaches addressing component-based development have been proposed recently. Most of these

  16. A systematic approach for component-based software development

    NARCIS (Netherlands)

    Guareis de farias, Cléver; van Sinderen, Marten J.; Ferreira Pires, Luis

    2000-01-01

    Component-based software development enables the construction of software artefacts by assembling prefabricated, configurable and independently evolving building blocks, called software components. This paper presents an approach for the development of component-based software artefacts. This

  17. Antirandom Testing: A Distance-Based Approach

    Directory of Open Access Journals (Sweden)

    Shen Hui Wu

    2008-01-01

    Full Text Available Random testing requires each test to be selected randomly regardless of the tests previously applied. This paper introduces the concept of antirandom testing where each test applied is chosen such that its total distance from all previous tests is maximum. This spans the test vector space to the maximum extent possible for a given number of vectors. An algorithm for generating antirandom tests is presented. Compared with traditional pseudorandom testing, antirandom testing is found to be very effective when a high-fault coverage needs to be achieved with a limited number of test vectors. The superiority of the new approach is even more significant for testing bridging faults.

  18. An Activity-Based Approach to Accessibility

    OpenAIRE

    Chen, Chienho; Recker, Will; McNally, Michael G.

    1997-01-01

    This paper presents the initial formulation of an activity-based model structure to address deficiencies in traditional measures of individual accessibility and which incorporates temporal transference effects of alternative travel behaviors within a household to form an index sensitive to such effects. A network-based activity assignment protocol is developed for complex travel activity decisions within a household. The research incorporates routing, scheduling, household activity assignme...

  19. EFL Reading Instruction: Communicative Task-Based Approach

    Science.gov (United States)

    Sidek, Harison Mohd

    2012-01-01

    The purpose of this study was to examine the overarching framework of EFL (English as a Foreign Language) reading instructional approach reflected in an EFL secondary school curriculum in Malaysia. Based on such analysis, a comparison was made if Communicative Task-Based Language is the overarching instructional approach for the Malaysian EFL…

  20. A Task-Based Approach to Materials Development

    Science.gov (United States)

    Nunan, David

    2010-01-01

    The purpose of this chapter is to present a task-based approach to materials development. In the first part of the chapter, I sketch out the evolution of task based language teaching, drawing on a distinction between synthetic and analytical approaches to syllabus design first articulated by Wilkins (1976).

  1. A Task-based Approach to Materials Development

    OpenAIRE

    David Nunan

    2010-01-01

    The purpose of this chapter is to present a task-based approach to materials development. In the first part of the chapter, I sketch out the evolution of task based language teaching, drawing on a distinction between synthetic and analytical approaches to syllabus design first articulated by Wilkins (1976).

  2. A Task-based Approach to Materials Development

    Directory of Open Access Journals (Sweden)

    David Nunan

    2010-07-01

    Full Text Available The purpose of this chapter is to present a task-based approach to materials development. In the first part of the chapter, I sketch out the evolution of task based language teaching, drawing on a distinction between synthetic and analytical approaches to syllabus design first articulated by Wilkins (1976.

  3. A Strength-Based Approach to Teacher Professional Development

    Science.gov (United States)

    Zwart, Rosanne C.; Korthagen, Fred A. J.; Attema-Noordewier, Saskia

    2015-01-01

    Based on positive psychology, self-determination theory and a perspective on teacher quality, this study proposes and examines a strength-based approach to teacher professional development. A mixed method pre-test/post-test design was adopted to study perceived outcomes of the approach for 93 teachers of six primary schools in the Netherlands and…

  4. A strength-based approach to teacher professional development

    NARCIS (Netherlands)

    Zwart, Rosanne; Korthagen, Fred A J; Attema-Noordewier, Saskia

    2015-01-01

    Based on positive psychology, self-determination theory and a perspective on teacher quality, this study proposes and examines a strength-based approach to teacher professional development. A mixed method pre-test/post-test design was adopted to study perceived outcomes of the approach for 93

  5. A strength-based approach to teacher professional development

    NARCIS (Netherlands)

    Zwart, Rosanne C.; Korthagen, Fred A J; Attema-Noordewier, Saskia

    2014-01-01

    Based on positive psychology, self-determination theory and a perspective on teacher quality, this study proposes and examines a strength-based approach to teacher professional development. A mixed method pre-test/post-test design was adopted to study perceived outcomes of the approach for 93

  6. Supplier selection an MCDA-based approach

    CERN Document Server

    Mukherjee, Krishnendu

    2017-01-01

    The purpose of this book is to present a comprehensive review of the latest research and development trends at the international level for modeling and optimization of the supplier selection process for different industrial sectors. It is targeted to serve two audiences: the MBA and PhD student interested in procurement, and the practitioner who wishes to gain a deeper understanding of procurement analysis with multi-criteria based decision tools to avoid upstream risks to get better supply chain visibility. The book is expected to serve as a ready reference for supplier selection criteria and various multi-criteria based supplier’s evaluation methods for forward, reverse and mass customized supply chain. This book encompasses several criteria, methods for supplier selection in a systematic way based on extensive literature review from 1998 to 2012. It provides several case studies and some useful links which can serve as a starting point for interested researchers. In the appendix several computer code wri...

  7. A semantic-based approach to information processing

    OpenAIRE

    Richardson, Ray

    1994-01-01

    The research reported in this thesis is centred around the development of a semantic based approach to information processing. Traditional word-based pattern matching approaches to information processing suffer from both the richness and ambiguousness of natural language. Although retrieval performances of traditional systems can be satisfactory in many situations, it is commonly held that the traditional approach has reached the peak of its potential and any substantial improvements will be ...

  8. SLAM - Based Approach to Dynamic Ship Positioning

    Directory of Open Access Journals (Sweden)

    Krzysztof Wrobel

    2014-03-01

    Full Text Available Dynamically positioned vessels, used by offshore industry, use not only satellite navigation but also different positioning systems, often referred to as reference' systems. Most of them use multiple technical devices located outside the vessel which creates some problems with their accessibility and performance. In this paper, a basic concept of reference system independent from any external device is presented, basing on hydroacoustics and Simultaneous Localization and Mapping (SLAM method. Theoretical analysis of its operability is also performed.

  9. Media approach to gender-based violence

    Directory of Open Access Journals (Sweden)

    Mršević Zorica

    2012-01-01

    Full Text Available The author grounds her research and the latter analysis on continually conducted daily press-clipping of seven main printed daily newspapers and two main electronic media in Serbia, within the three years period (2009 - 2011. An analysis of media reports on gender based violence, with particular focus on the most frequent domestic violence cases within the two years period, 2010 to 2011 is presented. As the best of media reports on gender based violence, the author stressed out its „whistle blower“ role - media are the main source of information on cases, dimensions and forms of gender based violence. Also the worse moments of media reporting in the mentioned period are presented - when the violence was justified or when reality is deformed by presenting these cases as romantic love stories. For example, in 2010 the worst was reporting on the „Pajčin/Kapisoda“ case, while in 2011 it was the „Ponjiger“ case. In the end, the author also warned on the worrysome fact of sudden dissapearance of media reports on partners’ murdering their wives after the last such report published in mid-october 2011, which could mean that now we have a new problem of diminished freedom of media.

  10. Algebraic Verification Method for SEREs Properties via Groebner Bases Approaches

    Directory of Open Access Journals (Sweden)

    Ning Zhou

    2013-01-01

    Full Text Available This work presents an efficient solution using computer algebra system to perform linear temporal properties verification for synchronous digital systems. The method is essentially based on both Groebner bases approaches and symbolic simulation. A mechanism for constructing canonical polynomial set based symbolic representations for both circuit descriptions and assertions is studied. We then present a complete checking algorithm framework based on these algebraic representations by using Groebner bases. The computational experience result in this work shows that the algebraic approach is a quite competitive checking method and will be a useful supplement to the existent verification methods based on simulation.

  11. INDIVIDUAL BASED MODELLING APPROACH TO THERMAL ...

    Science.gov (United States)

    Diadromous fish populations in the Pacific Northwest face challenges along their migratory routes from declining habitat quality, harvest, and barriers to longitudinal connectivity. Changes in river temperature regimes are producing an additional challenge for upstream migrating adult salmon and steelhead, species that are sensitive to absolute and cumulative thermal exposure. Adult salmon populations have been shown to utilize cold water patches along migration routes when mainstem river temperatures exceed thermal optimums. We are employing an individual based model (IBM) to explore the costs and benefits of spatially-distributed cold water refugia for adult migrating salmon. Our model, developed in the HexSim platform, is built around a mechanistic behavioral decision tree that drives individual interactions with their spatially explicit simulated environment. Population-scale responses to dynamic thermal regimes, coupled with other stressors such as disease and harvest, become emergent properties of the spatial IBM. Other model outputs include arrival times, species-specific survival rates, body energetic content, and reproductive fitness levels. Here, we discuss the challenges associated with parameterizing an individual based model of salmon and steelhead in a section of the Columbia River. Many rivers and streams in the Pacific Northwest are currently listed as impaired under the Clean Water Act as a result of high summer water temperatures. Adverse effec

  12. A Geographic Optimization Approach to Coast Guard Ship Basing

    Science.gov (United States)

    2015-06-01

    forward in this area. 14. SUBJECT TERMS coast guard, ship basing, ship allocation, geographic optimization 15. NUMBER OF PAGES 69 16. PRICE CODE 17...NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS A GEOGRAPHIC OPTIMIZATION APPROACH TO COAST GUARD SHIP BASING by Mehmet Ali Gençay June 2015...AND SUBTITLE A GEOGRAPHIC OPTIMIZATION APPROACH TO COAST GUARD SHIP BASING 5. FUNDING NUMBERS 6. AUTHOR(S) Mehmet Ali Gençay 7. PERFORMING ORGANIZATION

  13. Assessing Acid-Base Status: Physiologic Versus Physicochemical Approach.

    Science.gov (United States)

    Adrogué, Horacio J; Madias, Nicolaos E

    2016-11-01

    The physiologic approach has long been used in assessing acid-base status. This approach considers acids as hydrogen ion donors and bases as hydrogen ion acceptors and the acid-base status of the organism as reflecting the interaction of net hydrogen ion balance with body buffers. In the physiologic approach, the carbonic acid/bicarbonate buffer pair is used for assessing acid-base status and blood pH is determined by carbonic acid (ie, Paco2) and serum bicarbonate levels. More recently, the physicochemical approach was introduced, which has gained popularity, particularly among intensivists and anesthesiologists. This approach posits that the acid-base status of body fluids is determined by changes in the dissociation of water that are driven by the interplay of 3 independent variables: the sum of strong (fully dissociated) cation concentrations minus the sum of strong anion concentrations (strong ion difference); the total concentration of weak acids; and Paco2. These 3 independent variables mechanistically determine both hydrogen ion concentration and bicarbonate concentration of body fluids, which are considered as dependent variables. Our experience indicates that the average practitioner is familiar with only one of these approaches and knows very little, if any, about the other approach. In the present Acid-Base and Electrolyte Teaching Case, we attempt to bridge this knowledge gap by contrasting the physiologic and physicochemical approaches to assessing acid-base status. We first outline the essential features, advantages, and limitations of each of the 2 approaches and then apply each approach to the same patient presentation. We conclude with our view about the optimal approach. Copyright © 2016 National Kidney Foundation, Inc. All rights reserved.

  14. Perimenopausal contraception: A practice-based approach.

    Science.gov (United States)

    Bateson, Deborah; McNamee, Kathleen

    2017-06-01

    Women who are perimenopausal are at risk of unintended pregnancy despite relatively low fertility at this stage. Contraceptive choice can be limited by increased comorbidities, but the UK Medical Eligibility Criteria (UKMEC) system provides a framework for safe prescribing. This article provides evidence-based guidance on contraceptive options, and information to support decision-making about stopping contraception at menopause. Contraceptive choice is determined by several factors, including medical eligibility, side effects and risks, non-contraceptive benefits, cost and personal preference. Long-acting reversible contraceptives (LARCs) are an effective, acceptable and safe choice for many women. For women aged ≥50 years who are using a non-hormonal method, contraception is recommended until after 12 months of amenorrhoea, or 24 months if they are aged 50 years; serial follicle-stimulating hormone (FSH) levels can guide method cessation given amenorrhoea is not a reliable indicator of menopause in this context.

  15. Information theory based approaches to cellular signaling.

    Science.gov (United States)

    Waltermann, Christian; Klipp, Edda

    2011-10-01

    Cells interact with their environment and they have to react adequately to internal and external changes such changes in nutrient composition, physical properties like temperature or osmolarity and other stresses. More specifically, they must be able to evaluate whether the external change is significant or just in the range of noise. Based on multiple external parameters they have to compute an optimal response. Cellular signaling pathways are considered as the major means of information perception and transmission in cells. Here, we review different attempts to quantify information processing on the level of individual cells. We refer to Shannon entropy, mutual information, and informal measures of signaling pathway cross-talk and specificity. Information theory in systems biology has been successfully applied to identification of optimal pathway structures, mutual information and entropy as system response in sensitivity analysis, and quantification of input and output information. While the study of information transmission within the framework of information theory in technical systems is an advanced field with high impact in engineering and telecommunication, its application to biological objects and processes is still restricted to specific fields such as neuroscience, structural and molecular biology. However, in systems biology dealing with a holistic understanding of biochemical systems and cellular signaling only recently a number of examples for the application of information theory have emerged. This article is part of a Special Issue entitled Systems Biology of Microorganisms. Copyright © 2011 Elsevier B.V. All rights reserved.

  16. Enuresis in children: a case based approach.

    Science.gov (United States)

    Baird, Drew C; Seehusen, Dean A; Bode, David V

    2014-10-15

    Enuresis is defined as intermittent urinary incontinence during sleep in a child at least five years of age. Approximately 5% to 10% of all seven-year-olds have enuresis, and an estimated 5 to 7 million children in the United States have enuresis. The pathophysiology of primary nocturnal enuresis involves the inability to awaken from sleep in response to a full bladder, coupled with excessive nighttime urine production or a decreased functional capacity of the bladder. Initial evaluation should include a history, physical examination, and urinalysis. Several conditions, such as constipation, obstructive sleep apnea, diabetes mellitus, diabetes insipidus, chronic kidney disease, and psychiatric disorders, are associated with enuresis. If identified, these conditions should be evaluated and treated. Treatment of primary monosymptomatic enuresis (i.e., the only symptom is nocturnal bed-wetting in a child who has never been dry) begins with counseling the child and parents on effective behavioral modifications. First-line treatments for enuresis include bed alarm therapy and desmopressin. The choice of therapy is based on the child's age and nighttime voiding patterns, and the desires of the child and family. Referral to a pediatric urologist is indicated for children with primary enuresis refractory to standard and combination therapies, and for children with some secondary causes of enuresis, including urinary tract malformations, recurrent urinary tract infections, or neurologic disorders.

  17. An optoelectronic based approach for handwriting capture.

    Science.gov (United States)

    Ancillao, Andrea; Galli, Manuela; Vimercati, Sara Laura; Albertini, Giorgio

    2013-08-01

    Clinical practice for the evaluation of motor and cognitive capabilities often relies upon writing and drawing tests. A non-invasive method to capture handwriting and analyze data is therefore needed. In this work a method to capture motion of a pen through a mo-cap optoelectronic system was developed, which could solve the limits of systems based on graphic tablets. Four IR passive markers were placed on a pen cap. Once a pen was equipped with the cap, track of tip was computed through a numeric algorithm using the 3D coordinates of markers provided by the optoelectronic system. Some tests were performed to estimate the error in track reconstruction and to compare the new protocol with previous reconstruction methods. The results showed a higher accuracy of the new method. The new protocol also overcomes the problems related to pen grasping and marker covering that affected other methods described in the literature and permits the evaluation of writing and drawing kinematics as well as postural behaviour related to them. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  18. Sensitivity based reduced approaches for structural reliability analysis

    Indian Academy of Sciences (India)

    captured by a safety-factor based approach due to the intricate nonlinear relationships between the system parameters and the natural frequencies. For these reasons a scientific and systematic approach is required to predict the probability of failure of a structure at the design stage. Probabilistic structural reliability analysis ...

  19. Simulation-Based Constructivist Approach for Education Leaders

    Science.gov (United States)

    Shapira-Lishchinsky, Orly

    2015-01-01

    The purpose of this study was to reflect the leadership strategies that may arise using a constructivist approach based on organizational learning. This approach involved the use of simulations that focused on ethical tensions in school principals' daily experiences, and the development of codes of ethical conduct to reduce these tensions. The…

  20. A Semantics-Based Approach to Retrieving Biomedical Information

    DEFF Research Database (Denmark)

    Andreasen, Troels; Bulskov, Henrik; Zambach, Sine

    2011-01-01

    This paper describes an approach to representing, organising, and accessing conceptual content of biomedical texts using a formal ontology. The ontology is based on UMLS resources supplemented with domain ontologies developed in the project. The approach introduces the notion of ‘generative ontol...

  1. Pattern-based approach for logical traffic isolation forensic modelling

    CSIR Research Space (South Africa)

    Dlamini, I

    2009-08-01

    Full Text Available The use of design patterns usually changes the approach of software design and makes software development relatively easy. This paper extends work on a forensic model for Logical Traffic Isolation (LTI) based on Differentiated Services (Diff...

  2. Stochastic learning and optimization a sensitivity-based approach

    CERN Document Server

    Cao, Xi-Ren

    2007-01-01

    Performance optimization is vital in the design and operation of modern engineering systems. This book provides a unified framework based on a sensitivity point of view. It introduces new approaches and proposes new research topics.

  3. An improved Hough transform-based fingerprint alignment approach

    CSIR Research Space (South Africa)

    Mlambo, CS

    2014-11-01

    Full Text Available An improved Hough Transform based fingerprint alignment approach is presented, which improves computing time and memory usage with accurate alignment parameter (rotation and translation) results. This is achieved by studying the strengths...

  4. Agile Service Development: A Rule-Based Method Engineering Approach

    NARCIS (Netherlands)

    Inge van de Weerd; Johan Versendaal; dr. Martijn Zoet; Stijn Hoppenbrouwers

    2011-01-01

    Agile software development has evolved into an increasingly mature software development approach and has been applied successfully in many software vendors’ development departments. In this position paper, we address the broader agile service development. Based on method engineering principles we

  5. Raft approach to the copolymerisation of methyl methacrylate based ...

    African Journals Online (AJOL)

    Raft approach to the copolymerisation of methyl methacrylate based polymeric micelles. ... (GPC), nuclear magnetic resonance spectroscopy(NMR), fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and dynamic light scattering (DLS) analyses. The results ...

  6. Poverty reduction Approaches in Kenya: Assessing the Usefulness of the Right Based Approach in Kenya

    Directory of Open Access Journals (Sweden)

    Wambua Leonard Munyao, Ph.D

    2013-06-01

    Full Text Available While billions of dollars have been spent in development projects in least developed countries, poverty continues to increase. This study proposes human-rights based approach to poverty eradication. To this end, the study seeks to assess the key determinants of use of rights- based approaches to poverty reduction and it’s usefulness in Kenya with special reference to NGOs in Kibera. The study further high lights some of the basic skills of implementing the rights based approach to poverty reduction. The attempts to establish the proportion of NGOs applying rights based approach to poverty reduction in Kibera Division as well. The review of relevant literature has been undertaken and a field study done. The study is informed by a qualitative human rights framework.

  7. A Model-Based Approach for Distributed User Interfaces

    OpenAIRE

    Melchior, Jérémie; Vanderdonckt, Jean; Van Roy, Peter; 3rd ACM Symposium on Engineering Interactive Computing Systems EICS’2011

    2011-01-01

    This paper describes a model-based approach for designing Distributed User Interfaces (DUIs), i.e., graphical user interfaces that are distributed along the following dimensions: end user, display device, computing platform, and physical environment. The three pillars of this model-based approach are: (i) a Concrete User Interface model for DUIs incorporating the distribution dimensions and expressing any DUI element in a XML-compliant format until the granularity of an individual DUI element...

  8. Artificial neural network based approach to EEG signal simulation.

    Science.gov (United States)

    Tomasevic, Nikola M; Neskovic, Aleksandar M; Neskovic, Natasa J

    2012-06-01

    In this paper a new approach to the electroencephalogram (EEG) signal simulation based on the artificial neural networks (ANN) is proposed. The aim was to simulate the spontaneous human EEG background activity based solely on the experimentally acquired EEG data. Therefore, an EEG measurement campaign was conducted on a healthy awake adult in order to obtain an adequate ANN training data set. As demonstration of the performance of the ANN based approach, comparisons were made against autoregressive moving average (ARMA) filtering based method. Comprehensive quantitative and qualitative statistical analysis showed clearly that the EEG process obtained by the proposed method was in satisfactory agreement with the one obtained by measurements.

  9. User-based and Cognitive Approaches to Knowledge Organization

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2013-01-01

    In the 1970s and 1980s, forms of user-based and cognitive approaches to knowledge organization came to the forefront as part of the overall development in library and information science and in the broader society. The specific nature of userbased approaches is their basis in the empirical studies......’s PageRank are not based on the empirical studies of users. In knowledge organization, the Book House System is one example of a system based on user studies. In cognitive science the important WordNet database is claimed to be based on psychological research. This article considers such examples...

  10. Predicting footbridge vibrations using a probability-based approach

    DEFF Research Database (Denmark)

    Pedersen, Lars; Frier, Christian

    2017-01-01

    to modeling the action of a pedestrian. The paper employs a probability-based approach to modeling the action of a pedestrian by considering randomness in the behavior of the pedestrian crossing the footbridge. The paper describes the approach and studies implications (sensitivity) of selected decisions made......Vibrations in footbridges may be problematic as excessive vibrations may occur as a result of actions of pedestrians. Design-stage predictions of levels of footbridge vibration to the action of a pedestrian are useful and have been employed for many years based on a deterministic approach...

  11. A model-data based systems approach to process intensification

    DEFF Research Database (Denmark)

    Gani, Rafiqul

    a model-based synthesis method to systematically generate and evaluate alternatives in the first stage and an experiment-model based validation in the second stage. In this way, the search for alternatives is done very quickly, reliably and systematically over a wide range, while resources are preserved...... for focused validation of only the promising candidates in the second-stage. This approach, however, would be limited to intensification based on “known” unit operations, unless the PI process synthesis/design is considered at a lower level of aggregation, namely the phenomena level. That is, the model-based....... Their developments, however, are largely due to experiment based trial and error approaches and while they do not require validation, they can be time consuming and resource intensive. Also, one may ask, can a truly new intensified unit operation be obtained in this way? An alternative two-stage approach is to apply...

  12. A Comparison of Filter-based Approaches for Model-based Prognostics

    Data.gov (United States)

    National Aeronautics and Space Administration — Model-based prognostics approaches use domain knowledge about a system and its failure modes through the use of physics-based models. Model-based prognosis is...

  13. Knowledge-based biomedical word sense disambiguation: comparison of approaches

    Directory of Open Access Journals (Sweden)

    Aronson Alan R

    2010-11-01

    Full Text Available Abstract Background Word sense disambiguation (WSD algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be used to annotate the biomedical literature. Statistical learning approaches have produced good results, but the size of the UMLS makes the production of training data infeasible to cover all the domain. Methods We present research on existing WSD approaches based on knowledge bases, which complement the studies performed on statistical learning. We compare four approaches which rely on the UMLS Metathesaurus as the source of knowledge. The first approach compares the overlap of the context of the ambiguous word to the candidate senses based on a representation built out of the definitions, synonyms and related terms. The second approach collects training data for each of the candidate senses to perform WSD based on queries built using monosemous synonyms and related terms. These queries are used to retrieve MEDLINE citations. Then, a machine learning approach is trained on this corpus. The third approach is a graph-based method which exploits the structure of the Metathesaurus network of relations to perform unsupervised WSD. This approach ranks nodes in the graph according to their relative structural importance. The last approach uses the semantic types assigned to the concepts in the Metathesaurus to perform WSD. The context of the ambiguous word and semantic types of the candidate concepts are mapped to Journal Descriptors. These mappings are compared to decide among the candidate concepts. Results are provided estimating accuracy of the different methods on the WSD test collection available from the NLM. Conclusions We have found that the last approach achieves better results compared to the other methods. The graph-based approach, using the structure of the Metathesaurus network to estimate the relevance of the Metathesaurus concepts, does not perform well

  14. Integration of Task-Based Approaches in a TESOL Course

    Science.gov (United States)

    Chien, Chin-Wen

    2014-01-01

    Under task-based language teaching (TBLT), language learners engage in purposeful, problem-oriented, and outcome-driven tasks that are comparable to real-world activities. This qualitative case study discusses the integration of a task-based approach into a TESOL course in a language teacher education program in Taiwan with regard to 39…

  15. Applying a Model-Based Approach for Embedded System Development

    NARCIS (Netherlands)

    Bunse, C.; Gross, H.G.; Peper, C.

    2007-01-01

    Model-based and component-oriented software development approaches are slowly superseding traditional ways of developing embedded systems. For investigating to which extent model-based development is feasible for embedded system development, we conducted a case study in which a small embedded system

  16. Rights-Based Approach: The Hub of Sustainable Development

    Science.gov (United States)

    Choondassery, Yesudas

    2017-01-01

    A rights-based approach to the environmental issues has been gaining momentum since the United Nations' Environmental Agency proposed a new rights-based agenda for sustainable development in the document, "Transforming Our World: The 2030 Agenda for Sustainable Development" (UN, 2015). Our moral responsibility toward the environment is…

  17. Implementing Project Based Learning Approach to Graphic Design Course

    Science.gov (United States)

    Riyanti, Menul Teguh; Erwin, Tuti Nuriah; Suriani, S. H.

    2017-01-01

    The purpose of this study was to develop a learning model based Commercial Graphic Design Drafting project-based learning approach, was chosen as a strategy in the learning product development research. University students as the target audience of this model are the students of the fifth semester Visual Communications Design Studies Program…

  18. A scenario based approach for flexible resource loading under uncertainty

    NARCIS (Netherlands)

    Wullink, Gerhard; Gademann, Noud; Hans, Elias W.; van Harten, Aart

    2003-01-01

    Order acceptance decisions in manufacture-to-order environments are often made based on incomplete or uncertain information. To promise reliable due dates and to manage resource capacity adequately, resource capacity loading is an indispensable supporting tool. We propose a scenario based approach

  19. A strength-based approach to athlete engagement: an exploratory ...

    African Journals Online (AJOL)

    Strength-based interventions have proven effective in the sport and athletic environment in a number of studies. However, few studies have investigated the effect of an integrated strength-based approach on positive athlete outcomes. This study investigated the effect of team-strength use and individual strength use on ...

  20. Approaches in Anomaly-based Network Intrusion Detection Systems

    NARCIS (Netherlands)

    Bolzoni, D.; Etalle, Sandro

    Anomaly-based network intrusion detection systems (NIDSs) can take into consideration packet headers, the payload, or a combination of both. We argue that payload-based approaches are becoming the most effective methods to detect attacks. Nowadays, attacks aim mainly to exploit vulnerabilities at

  1. Improving information extraction using a probability-based approach

    DEFF Research Database (Denmark)

    Kim, S.; Ahmed, Saeema; Wallace, K.

    2007-01-01

    the recall, while maintaining the high precision, a learning approach that makes identification decisions based on a probability model, rather than simply looking up the presence of the pre-defined variations, looks promising. This paper presents the results of developing such a probability-based entity...

  2. Zero base approach to fiscal management of the laboratory.

    Science.gov (United States)

    Boudreau, D A; Majonos, J S

    1985-08-01

    Lab administrators who face the challenge of providing quality care while cutting costs need a way to periodically re-evaluate all lab functions and services. The guidelines presented here, based on the Zero Base Budget approach, formulate a management strategy for the lab that could lead to better fiscal planning.

  3. System identification based approach to dynamic weighing revisited

    Science.gov (United States)

    Niedźwiecki, Maciej; Meller, Michał; Pietrzak, Przemysław

    2016-12-01

    Dynamic weighing, i.e., weighing of objects in motion, without stopping them on the weighing platform, allows one to increase the rate of operation of automatic weighing systems, used in industrial production processes, without compromising their accuracy. Since the classical identification-based approach to dynamic weighing, based on the second-order mass-spring-damper model of the weighing system, does not yield satisfactory results when applied to conveyor belt type checkweighers, several extensions of this technique are examined. Experiments confirm that when appropriately modified the identification-based approach becomes a reliable tool for dynamic mass measurement in checkweighers.

  4. An Integrated Approach for Creating Service-Based Interactive Applications

    Science.gov (United States)

    Feldmann, Marius; Janeiro, Jordan; Nestler, Tobias; Hübsch, Gerald; Jugel, Uwe; Preussner, André; Schill, Alexander

    While the implementation of business logic and business processes based on service-oriented architectures is well-understood and covered by existing development approaches, integrated concepts that empower users to exploit the Internet of Services to create complex interactive applications are missing. In this paper, we present an integrated approach that fills this gap. Our approach builds upon service annotations that add meta-information related to user interface generation, service dependencies, and service composition to existing service descriptions. Services can be composed visually to complex interactive applications based on these annotations without the need to write any code. The application code is generated completely from the service composition description. Our approach is able to support heterogeneous target environments ranging from client/server architectures to mobile platforms.

  5. A New Classification Approach Based on Multiple Classification Rules

    OpenAIRE

    Zhongmei Zhou

    2014-01-01

    A good classifier can correctly predict new data for which the class label is unknown, so it is important to construct a high accuracy classifier. Hence, classification techniques are much useful in ubiquitous computing. Associative classification achieves higher classification accuracy than some traditional rule-based classification approaches. However, the approach also has two major deficiencies. First, it generates a very large number of association classification rules, especially when t...

  6. Ontology based approach for video transmission over the network

    OpenAIRE

    Rachit Mohan Garg; Yamini Sood; Neha Tyagi

    2011-01-01

    With the increase in the bandwidth & the transmission speed over the internet, transmission of multimedia objects like video, audio, images has become an easier work. In this paper we provide an approach that can be useful for transmission of video objects over the internet without much fuzz. The approach provides a ontology based framework that is used to establish an automatic deployment of video transmission system. Further the video is compressed using the structural flow mechanism tha...

  7. Biomarker Discovery by Novel Sensors Based on Nanoproteomics Approaches

    Directory of Open Access Journals (Sweden)

    Manuel Fuentes

    2012-02-01

    Full Text Available During the last years, proteomics has facilitated biomarker discovery by coupling high-throughput techniques with novel nanosensors. In the present review, we focus on the study of label-based and label-free detection systems, as well as nanotechnology approaches, indicating their advantages and applications in biomarker discovery. In addition, several disease biomarkers are shown in order to display the clinical importance of the improvement of sensitivity and selectivity by using nanoproteomics approaches as novel sensors.

  8. Recent Advances in Peptide-Based Approaches for Cancer Treatment.

    Science.gov (United States)

    Conibear, Anne C; Schmid, Alanca; Kamalov, Meder; Becker, Christian F W; Bello, Claudia

    2017-11-23

    Peptide-based pharmaceuticals have recently experienced a renaissance due to their ability to fill the gap between the two main classes of available drugs, small molecules and biologics. Peptides combine the high potency and selectivity typical of large proteins with some of the characteristic advantages of small molecules such as synthetic accessibility, stability and the potential of oral bioavailability. One of the applications in which peptide-based approaches have grown rapidly is cancer therapy, with a focus on new and established targets. Many novel peptide-based methods for cancer treatment have been developed in the last few years, ranging from naturally-occurring and modified peptides to peptide-drug conjugates, peptide nanomaterials and peptide-based vaccines. This review focuses on recent advances, advantages and challenges of these selected peptide-based approaches for cancer treatment. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  9. An Open Science Approach to Gis-Based Paleoenvironment Data

    Science.gov (United States)

    Willmes, C.; Becker, D.; Verheul, J.; Yener, Y.; Zickel, M.; Bolten, A.; Bubenzer, O.; Bareth, G.

    2016-06-01

    Paleoenvironmental studies and according information (data) are abundantly published and available in the scientific record. However, GIS-based paleoenvironmental information and datasets are comparably rare. Here, we present an Open Science approach for creating GIS-based data and maps of paleoenvironments, and Open Access publishing them in a web based Spatial Data Infrastructure (SDI), for access by the archaeology and paleoenvironment communities. We introduce an approach to gather and create GIS datasets from published non-GIS based facts and information (data), such as analogous maps, textual information or figures in scientific publications. These collected and created geo-datasets and maps are then published, including a Digital Object Identifier (DOI) to facilitate scholarly reuse and citation of the data, in a web based Open Access Research Data Management Infrastructure. The geo-datasets are additionally published in an Open Geospatial Consortium (OGC) standards compliant SDI, and available for GIS integration via OGC Open Web Services (OWS).

  10. PPRM-based approach to synthesis of reversible functions

    Science.gov (United States)

    Jegier, Jerzy; Kerntopf, Paweł

    2017-08-01

    This work proposes a PPRM-based technique for the synthesis of reversible circuits with reduced quantum cost (QC) in generated circuits. Initially, a PPRM cube-list structure is provided as input. Next, the PPRM cubes shared by coordinate functions of a given reversible function are grouped together and each cube is translated to a group of Toffoli reversible gates, similarly to ESOP-based methods. Experimental results show that for important benchmarks with up to 17 variables the presented approach generates circuits with smaller QC than the most successful previous approaches.

  11. A model-data based systems approach to process intensification

    DEFF Research Database (Denmark)

    Gani, Rafiqul

    is to apply a model-based synthesis method to systematically generate and evaluate alternatives in the first stage and an experiment-model based validation in the second stage. In this way, the search for alternatives is done very quickly, reliably and systematically over a wide range, while resources......, the model-based synthesis method must employ models at lower levels of aggregation and through combination rules for phenomena, generate (synthesize) new intensified unit operations. An efficient solution procedure for the synthesis problem is needed to tackle the potentially large number of options....... Their developments, however, are largely due to experiment based trial and error approaches and while they do not require validation, they can be time consuming and resource intensive. Also, one may ask, can a trully new intensified unit operation be obtained in this way? An alternative two-stage approach...

  12. [Internet-based approaches in the therapy of eating disorders].

    Science.gov (United States)

    Fichter, M M; Quadflieg, N; Nisslmüller, K; Lindner, S; Voderholzer, U; Wünsch-Leiteritz, W; Osen, B; Huber, T; Zahn, S; Meermann, R; Irrgang, V; Bleichner, F

    2011-09-01

    Recent technological developments of communication media offer new approaches to diagnostic and therapeutic interactions with patients. One major development is Internet-based primary prevention in vulnerable individuals not yet suffering as well as the development of new therapeutic approaches for affected individuals based on the experiences of guided self-help through CD, DVD or bibliotherapy. The eating disorder literature shows several interesting, partly controlled and randomized, studies on bulimia nervosa, a few studies on binge eating disorder and no studies on anorexia nervosa. As part of the German Eating Disorder Network on Psychotherapy (EDNET) a 9-month Internet-based relapse prevention program for patients with anorexia nervosa after inpatient treatment was evaluated. Conception, first experiences and first results of the Internet-based relapse prevention program for anorexia nervosa are reported.

  13. Intelligent Transportation and Evacuation Planning A Modeling-Based Approach

    CERN Document Server

    Naser, Arab

    2012-01-01

    Intelligent Transportation and Evacuation Planning: A Modeling-Based Approach provides a new paradigm for evacuation planning strategies and techniques. Recently, evacuation planning and modeling have increasingly attracted interest among researchers as well as government officials. This interest stems from the recent catastrophic hurricanes and weather-related events that occurred in the southeastern United States (Hurricane Katrina and Rita). The evacuation methods that were in place before and during the hurricanes did not work well and resulted in thousands of deaths. This book offers insights into the methods and techniques that allow for implementing mathematical-based, simulation-based, and integrated optimization and simulation-based engineering approaches for evacuation planning. This book also: Comprehensively discusses the application of mathematical models for evacuation and intelligent transportation modeling Covers advanced methodologies in evacuation modeling and planning Discusses principles a...

  14. A Paraphrase-Based Approach to Machine Translation Evaluation

    Science.gov (United States)

    2005-08-01

    We propose a novel approach to automatic machine translation evaluation based on paraphrase identification. The quality of machine-generated output can be viewed as the extent to which the conveyed meaning matches the semantics of reference translations, independent of lexical and syntactic divergences. This idea is implemented ill linear regression models that attempt to capture human judgments of adequacy and fluency, based on features that have previously been shown to be effective

  15. An Efficient Audio Classification Approach Based on Support Vector Machines

    OpenAIRE

    Lhoucine Bahatti; Omar Bouattane; My Elhoussine Echhibat; Mohamed Hicham Zaggaf

    2016-01-01

    In order to achieve an audio classification aimed to identify the composer, the use of adequate and relevant features is important to improve performance especially when the classification algorithm is based on support vector machines. As opposed to conventional approaches that often use timbral features based on a time-frequency representation of the musical signal using constant window, this paper deals with a new audio classification method which improves the features extraction according ...

  16. A Mindfulness-Based Approach to the Treatment of Insomnia

    OpenAIRE

    Ong, Jason; Sholtes, David

    2010-01-01

    Mindfulness meditation has emerged as a novel approach to emotion regulation and stress reduction that has several health benefits. Preliminary work has been conducted on mindfulness-based therapy for insomnia (MBT-I), a meditation-based program for individuals suffering from chronic sleep disturbance. This treatment integrates behavioral treatments for insomnia with the principles and practices of mindfulness meditation. A case illustration of a chronic insomnia sufferer demonstrates the app...

  17. A random-permutations-based approach to fast read alignment.

    Science.gov (United States)

    Lederman, Roy

    2013-01-01

    Read alignment is a computational bottleneck in some sequencing projects. Most of the existing software packages for read alignment are based on two algorithmic approaches: prefix-trees and hash-tables. We propose a new approach to read alignment using random permutations of strings. We present a prototype implementation and experiments performed with simulated and real reads of human DNA. Our experiments indicate that this permutations-based prototype is several times faster than comparable programs for fast read alignment and that it aligns more reads correctly. This approach may lead to improved speed, sensitivity, and accuracy in read alignment. The algorithm can also be used for specialized alignment applications and it can be extended to other related problems, such as assembly.More information: http://alignment.commons.yale.edu.

  18. A rights-based approach to accessing health determinants.

    Science.gov (United States)

    Perkins, Fran

    2009-03-01

    This commentary summarizes the experience and learnings from a site visit in May 2008 to a drop-in centre for vulnerable women in downtown Cairo run by El-Shehab Institution for Comprehensive Development, which provides street outreach for the prevention of Sexually Transmitted Infection (STI). The Centre successfully provides services and support for women, many of who are displaced or refugees and are from the most marginalized areas in Cairo. Through a rights-based approach to the work, the Centre helps people living in the slums fight and win the right to access clean water, sewerage and electrical power in their communities. An individual-based approach to human rights is also used. In the last year El-Shehab have helped 67 women go to court and win their marriage rights from husbands who have abandoned them. Their approach is an example of a successful way to achieve access to basic health determinants.

  19. Substrate Based Ablation of Ventricular Tachycardia Through An Epicardial Approach

    Directory of Open Access Journals (Sweden)

    Aman Makhija

    2009-11-01

    Full Text Available Ventricular tachycardia (VT occurring late after myocardial infarction is often due to reentry circuit in the peri-infarct zone. The circuit is usually located in the sub-endocardium, though subepicardial substrates are known. Activation mapping during VT to identify target regions for ablation can be difficult if VT is non inducible or poorly tolerated. In the latter, a substrate based approach of mapping during sinus rhythm in conjunction with pace mapping helps to define the reentry circuit and select target sites for ablation in majority of patients with hemodynamically unstable VT. Percutaneous epicardial catheter ablation has been attempted as an approach where ablation by a conventional endocardial access has been unsuccessful. We report a case of post myocardial infarction scar VT which could be successfully ablated with a substrate based approach from the epicardial aspect.

  20. Comparison of two ASI-based standardized patient placement approaches.

    Science.gov (United States)

    Camilleri, Amy C; Cacciola, John S; Jenson, Michelle R

    2012-01-01

    This study evaluated the predictive validity of two automated approaches based on the Addiction Severity Index (ASI) to patient placement criteria. Patients (N = 2,429) in 78 substance abuse treatment programs completed an ASI at intake and were assigned a treatment modality based on availability and clinical considerations. Treatment completion and self-reported abstinence 6 months post-discharge were collected. Two placement approaches were developed using ASI summary score cut points or problem-specific algorithms from ASI items. Both approaches showed evidence of predictive validity. Given the ASI's widespread use in community programs, evidence is provided in support of its ability to inform clinical judgment and implementation of standardized placement.

  1. A Project-based Learning approach for teaching Robotics to ...

    African Journals Online (AJOL)

    In this research we used a project-based learning approach to teach robotics basics to undergraduate business computing students. The course coverage includes basic electronics, robot construction and programming using arduino. Students developed and tested a robot prototype. The project was evaluated using a ...

  2. Intelligent assembly time analysis, using a digital knowledge based approach

    NARCIS (Netherlands)

    Jin, Y.; Curran, R.; Butterfield, J.; Burke, R.; Welch, B.

    2009-01-01

    The implementation of effective time analysis methods fast and accurately in the era of digital manufacturing has become a significant challenge for aerospace manufacturers hoping to build and maintain a competitive advantage. This paper proposes a structure oriented, knowledge-based approach for

  3. Binaural speech enhancement using a codebook based approach

    DEFF Research Database (Denmark)

    Kavalekalam, Mathew Shaji; Christensen, Mads Græsbøll; Boldt, Jesper B.

    2016-01-01

    term predictor (STP) parameters using a codebook based approach, when we have access to binaural noisy signals. The estimated STP parameters are subsequently used for enhancement in a dual channel scenario. Objective measures indicate, that the proposed method is able to improve the speech...

  4. What does an enquiry-based approach offer undergraduate ...

    African Journals Online (AJOL)

    Background. Physiotherapy students in their final year at Stellenbosch University (SU) complete a module that follows an enquiry-based learning (EBL) approach. This module exposes them to higher-order problem solving and was developed to facilitate independent self-directed learning and improved higher-order ...

  5. MVMO-based approach for optimal placement and tuning of ...

    African Journals Online (AJOL)

    ... optimal placement and coordinated tuning of power system supplementary damping controllers (POCDCs). The effectiveness of the approach is evaluated based on the classical IEEE 39-bus (New England) test system. Numerical results include performance comparisons with other metaheuristic optimization techniques, ...

  6. The ethical approach to evidence-based medicine

    African Journals Online (AJOL)

    Evidence-based medicine has had a major impact on health care in the last 30 years. This approach has lead to the critical appraisal of therapeutic knowledge. Archie Cochrane, an epidemiologist, gave a series of lectures in 1972 regarding his reflections on the effectiveness and efficiency of health services.1 He ...

  7. Towards a Unified Knowledge-Based Approach to Modality Choice

    NARCIS (Netherlands)

    Bachvarova, Y.S.; van Dijk, Elisabeth M.A.G.; Nijholt, Antinus; van der Sluis, I; Theune, Mariet; Reiter, E.; Krahmer, E.

    2007-01-01

    This paper advances a unified knowledge-based approach to the process of choosing the most appropriate modality or combination of modalities in multimodal output generation. We propose a Modality Ontology (MO) that models the knowledge needed to support the two most fundamental processes determining

  8. Training Team Problem Solving Skills: An Event-Based Approach.

    Science.gov (United States)

    Oser, R. L.; Gualtieri, J. W.; Cannon-Bowers, J. A.; Salas, E.

    1999-01-01

    Discusses how to train teams in problem-solving skills. Topics include team training, the use of technology, instructional strategies, simulations and training, theoretical framework, and an event-based approach for training teams to perform in naturalistic environments. Contains 68 references. (Author/LRW)

  9. Saccharide-based Approach to Green Metallic Nanostructure Synthesis

    DEFF Research Database (Denmark)

    Engelbrekt, Christian; Sørensen, Karsten Holm; Jensen, Palle Skovhus

    A green approach to solution synthesis of metallic nanoparticles has been developed using harmless and bioapplicable chemicals as well as moderate temperatures. Metal precursors are reduced by glucose/buffers and sterically stabilized by starch. The saccharide based procedure is highly diverse...

  10. A computerized loop based approach for identification of ...

    Indian Academy of Sciences (India)

    Some artificial intelligence based methods such as neural networks (Kong et ... the efficiency and limitations of various methods dealing with this problem. Irrespective of so many available ..... Kong F G, Li Q and Zhang W J 1999 An artificial neural network approach to mechanism kinematic chain isomorphism identification.

  11. A desirability functions-based approach for simultaneous ...

    African Journals Online (AJOL)

    A desirability functions-based approach for simultaneous optimization of quantitative and ordinal response variables in industrial processes. ... The most important step for producing high quality products is the optimum utilization of the manufacturing processes and its resources, which can be accomplished by using optimal ...

  12. A sampling-based approach to probabilistic pursuit evasion

    KAUST Repository

    Mahadevan, Aditya

    2012-05-01

    Probabilistic roadmaps (PRMs) are a sampling-based approach to motion-planning that encodes feasible paths through the environment using a graph created from a subset of valid positions. Prior research has shown that PRMs can be augmented with useful information to model interesting scenarios related to multi-agent interaction and coordination. © 2012 IEEE.

  13. Analysis of Rule Based Approach for Afan Oromo Automatic ...

    African Journals Online (AJOL)

    The aim of this study was to design a morphological synthesizer for Afan Oromo particularly for verbs and nouns. In this research rule based approach for Afan Oromo automatic morphological synthesizer was applied. The performance of the synthesizer was evaluated using accuracy as statistical measurement. An average ...

  14. Non-frontal Model Based Approach to Forensic Face Recognition

    NARCIS (Netherlands)

    Dutta, A.; Veldhuis, Raymond N.J.; Spreeuwers, Lieuwe Jan

    2012-01-01

    In this paper, we propose a non-frontal model based approach which ensures that a face recognition system always gets to compare images having similar view (or pose). This requires a virtual suspect reference set that consists of non-frontal suspect images having pose similar to the surveillance

  15. Graphene metamaterials based tunable terahertz absorber: effective surface conductivity approach.

    Science.gov (United States)

    Andryieuski, Andrei; Lavrinenko, Andrei V

    2013-04-08

    In this paper we present the efficient design of functional thin-film metamaterial devices with the effective surface conductivity approach. As an example, we demonstrate a graphene based perfect absorber. After formulating the requirements to the perfect absorber in terms of surface conductivity we investigate the properties of graphene wire medium and graphene fishnet metamaterials and demonstrate both narrowband and broadband tunable absorbers.

  16. Graphene metamaterials based tunable terahertz absorber: effective surface conductivity approach

    DEFF Research Database (Denmark)

    Andryieuski, Andrei; Lavrinenko, Andrei

    2013-01-01

    In this paper we present the efficient design of functional thin-film metamaterial devices with the effective surface conductivity approach. As an example, we demonstrate a graphene based perfect absorber. After formulating the requirements to the perfect absorber in terms of surface conductivity...... we investigate the properties of graphene wire medium and graphene fishnet metamaterials and demonstrate both narrowband and broadband tunable absorbers....

  17. A concept-based approach to text categorization

    NARCIS (Netherlands)

    Schijvenaars, B.J.A.; Schuemie, M.J.; Mulligen, E.M. van; Weeber, M.; Jelier, R.; Mons, B.; Kors, J.A.; Kraaij, W.

    2005-01-01

    The Biosemantics group (Erasmus University Medical Center, Rotterdam) participated in the text categorization task of the Genomics Track. We followed a thesaurus-based approach, using the Collexis indexing system, in combination with a simple classification algorithm to assign a document to one of

  18. An Efficient Soft Set-Based Approach for Conflict Analysis.

    Directory of Open Access Journals (Sweden)

    Edi Sutoyo

    Full Text Available Conflict analysis has been used as an important tool in economic, business, governmental and political dispute, games, management negotiations, military operations and etc. There are many mathematical formal models have been proposed to handle conflict situations and one of the most popular is rough set theory. With the ability to handle vagueness from the conflict data set, rough set theory has been successfully used. However, computational time is still an issue when determining the certainty, coverage, and strength of conflict situations. In this paper, we present an alternative approach to handle conflict situations, based on some ideas using soft set theory. The novelty of the proposed approach is that, unlike in rough set theory that uses decision rules, it is based on the concept of co-occurrence of parameters in soft set theory. We illustrate the proposed approach by means of a tutorial example of voting analysis in conflict situations. Furthermore, we elaborate the proposed approach on real world dataset of political conflict in Indonesian Parliament. We show that, the proposed approach achieves lower computational time as compared to rough set theory of up to 3.9%.

  19. EVALUATING HUMAN CAPITAL IN A KNOWLEDGE – BASED APPROACH

    Directory of Open Access Journals (Sweden)

    Emanoil MUSCALU

    2014-04-01

    Full Text Available The widespread enthusiasm for a knowledge-based approach to understanding the nature of a business and the possible basis for sustained competitive advantage have renewed interest in human capital evaluation or measurement. While many attempts have been made to develop methods for measuring intellectual capital, none have been widely adopted in the business world. In the knowledge-based organizations, and generally, in the information society, human capital is recognized as the fundamental factor of overall progress, and experts agree that long-term investment in human capital has strong drive-propagation effects at the individual, organizational, national and global level. In this paper, we consider that a knowledge-based approach can offer new possibilities and answers to illustrate the importance of evaluation the human capital and knowledge assets by consistently generating added value in the business world.

  20. A set theoretic approach to object-based image restoration

    Science.gov (United States)

    Fan, Xin; Huang, Hua; Qi, Chun; Liang, Dequn

    2005-03-01

    The approaches that analyze local characteristics of an image to impose constraints are prevailing in image restoration, but they are less effective in the cases of severe degradation and heavy noise corruption. In this paper, we incorporate the common characteristics that the images of a class of objects present into image restoration, termed as object-based image restoration. The characteristics are represented as deterministic sets, which is combined with the set describing the image degradation model in a set theoretic formulation. A parallel subgradient projection algorithm is applied to find the solution in the intersection of these sets. Experiments performed on frontal face images show the improved performance of the approach in both mentioned cases, by comparing with local analysis based algorithms. With the concise formulation and the efficient algorithm, the object-based restoration can be implemented with ease and resolved with less complexity.

  1. Attitudes toward a game-based approach to mental health.

    Science.gov (United States)

    Kreutzer, Christine P; Bowers, Clint A

    2015-01-01

    Based on preliminary research, game-based treatments appear to be a promising approach to post-traumatic stress disorder (PTSD). However, attitudes toward this novel approach must be better understood. Thus, the objective of this study was to determine if video game self-efficacy mediates the relationship between expectations and reactions to a game-based treatment for PTSD. Participants played the serious game "Walk in My Shoes" (Novonics Corp., Orlando, FL) and completed a series of scales to measure attitudes toward the intervention. Video game self-efficacy was found to be a partial mediator of expectancies and reactions. These results suggest that enhancing attitudes via self-efficacy in a clinical setting may maximize treatment effectiveness.

  2. Physics-based preoperative approach planning using hybrid virtual bodies.

    Science.gov (United States)

    Nakao, Megumi; Kuroda, Tomohiro; Komori, Masaru; Oyama, Hiroshi; Komeda, Masashi

    2004-01-01

    This paper proposes a hybrid model mixing geometry and volume data to improve representation of virtual bodies. This model applies object-oriented data models and rendering techniques to virtual organs, and enables both interactive VR simulation and detailed volume visualization of tissue of interest (e.g. coronary). Also, a physics-based framework interactively simulates estimated surgical fields which are used in preoperative discussion. Based on the proposed methods, a VR-based strategic planning system is developed. The system does not need high cost manual segmentation of patient dataset and efficiently supports planning of surgical approaches in cardiovascular surgery.

  3. A path based approach to assessing molecular complexity.

    Science.gov (United States)

    Proudfoot, John R

    2017-05-01

    An atom environment, path based approach to calculating molecular complexity is described. Based on Shannon's equation, the method transforms the number and diversity of paths emanating from an atom to an atom-complexity from which a number of molecular complexity measures are derived. The method is independent of explicitly predefined features such as ring membership, bond types, chirality or symmetry. These path-based measures of complexity can distinguish subtle differences in molecular structure and an application to the visualization of marketed drugs, including a number of biologics, is presented. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. Surrogate based approaches to parameter inference in ocean models

    KAUST Repository

    Knio, Omar

    2016-01-06

    This talk discusses the inference of physical parameters using model surrogates. Attention is focused on the use of sampling schemes to build suitable representations of the dependence of the model response on uncertain input data. Non-intrusive spectral projections and regularized regressions are used for this purpose. A Bayesian inference formalism is then applied to update the uncertain inputs based on available measurements or observations. To perform the update, we consider two alternative approaches, based on the application of Markov Chain Monte Carlo methods or of adjoint-based optimization techniques. We outline the implementation of these techniques to infer dependence of wind drag, bottom drag, and internal mixing coefficients.

  5. Human Rights-Based Approaches to Mental Health

    Science.gov (United States)

    Bradley, Valerie J.; Sahakian, Barbara J.

    2016-01-01

    Abstract The incidence of human rights violations in mental health care across nations has been described as a “global emergency” and an “unresolved global crisis.” The relationship between mental health and human rights is complex and bidirectional. Human rights violations can negatively impact mental health. Conversely, respecting human rights can improve mental health. This article reviews cases where an explicitly human rights-based approach was used in mental health care settings. Although the included studies did not exhibit a high level of methodological rigor, the qualitative information obtained was considered useful and informative for future studies. All studies reviewed suggest that human-rights based approaches can lead to clinical improvements at relatively low costs. Human rights-based approaches should be utilized for legal and moral reasons, since human rights are fundamental pillars of justice and civilization. The fact that such approaches can contribute to positive therapeutic outcomes and, potentially, cost savings, is additional reason for their implementation. However, the small sample size and lack of controlled, quantitative measures limit the strength of conclusions drawn from included studies. More objective, high quality research is needed to ascertain the true extent of benefits to service users and providers. PMID:27781015

  6. Searching for adaptive traits in genetic resources - phenology based approach

    Science.gov (United States)

    Bari, Abdallah

    2015-04-01

    Searching for adaptive traits in genetic resources - phenology based approach Abdallah Bari, Kenneth Street, Eddy De Pauw, Jalal Eddin Omari, and Chandra M. Biradar International Center for Agricultural Research in the Dry Areas, Rabat Institutes, Rabat, Morocco Phenology is an important plant trait not only for assessing and forecasting food production but also for searching in genebanks for adaptive traits. Among the phenological parameters we have been considering to search for such adaptive and rare traits are the onset (sowing period) and the seasonality (growing period). Currently an application is being developed as part of the focused identification of germplasm strategy (FIGS) approach to use climatic data in order to identify crop growing seasons and characterize them in terms of onset and duration. These approximations of growing period characteristics can then be used to estimate flowering and maturity dates for dryland crops, such as wheat, barley, faba bean, lentils and chickpea, and assess, among others, phenology-related traits such as days to heading [dhe] and grain filling period [gfp]. The approach followed here is based on first calculating long term average daily temperatures by fitting a curve to the monthly data over days from beginning of the year. Prior to the identification of these phenological stages the onset is extracted first from onset integer raster GIS layers developed based on a model of the growing period that considers both moisture and temperature limitations. The paper presents some examples of real applications of the approach to search for rare and adaptive traits.

  7. Practice-Based Interdisciplinary Approach and Environmental Research

    Directory of Open Access Journals (Sweden)

    Ranjan Kumar Datta

    2017-03-01

    Full Text Available Interdisciplinary researchers and educators, as community members, creators of knowledge, and environmental activists and practitioners, have a responsibility to build a bridge between community practice, academic scholarship, and professional contributions aimed at establishing environmental sustainability. In this paper, I focus on an undervalued area of environmental politics, practices, and often unarticulated assumptions which underlie human–environmental relations. This article challenges interdisciplinary studies that are not connected with practice by reconfiguring the meaning of a community-based, interdisciplinary approach. Drawing from works by Foucault, Latour, and Haraway, this paper first shows how to reconfigure the meaning of an interdisciplinary approach. Second, using Bourdieu and Brightman’s ethnographic studies as a framework, the paper situates practice as central to our efforts to deconstruct and replace current interdisciplinary initiatives with a practice-based approach. Through a practice-based interdisciplinary approach (PIA, environmental educators and researchers gain an awareness of and learn to make an investment in sustainable communities. As teams of environmental researchers practising in the local community, they are meaningfully involved with the community, with each other, and with the environment.

  8. An Approach for Composing Services Based on Environment Ontology

    Directory of Open Access Journals (Sweden)

    Guangjun Cai

    2013-01-01

    Full Text Available Service-oriented computing is revolutionizing the modern computing paradigms with its aim to boost software reuse and enable business agility. Under this paradigm, new services are fabricated by composing available services. The problem arises as how to effectively and efficiently compose heterogeneous services facing the high complexity of service composition. Based on environment ontology, this paper introduces a requirement-driven service composition approach. We propose the algorithms to decompose the requirement, the rules to deduct the relation between services, and the algorithm for composing service. The empirical results and the comparison with other services’ composition methodologies show that this approach is feasible and efficient.

  9. Learning-based approach for online lane change intention prediction

    OpenAIRE

    Kumar, P.; Perrollaz, Mathias; Lefèvre, Stéphanie; Laugier, Christian

    2013-01-01

    International audience; Predicting driver behavior is a key component for Advanced Driver Assistance Systems (ADAS). In this paper, a novel approach based on Support Vector Machine and Bayesian filtering is proposed for online lane change intention prediction. The approach uses the multiclass probabilistic outputs of the Support Vector Machine as an input to the Bayesian filter, and the output of the Bayesian filter is used for the final prediction of lane changes. A lane tracker integrated in a ...

  10. A complexity-based approach to batterer intervention programmes.

    Science.gov (United States)

    Medina-Maldonado, Venus E; Medina-Maldonado, Rossana; Parada-Cores, Germán

    2014-01-01

    This paper was aimed at providing opinion by adopting a complexity-based approach to coordinating nursing science and psychology concerning psycho-educational intervention for batterers regarding their partner or ex-partner. Improving both disciplines' interrelationship should facilitate implementing relevant action, thereby engendering motivation for change in participants and modifying sexist attitudes and beliefs. The document has analyzed the importance of coordinating scientific disciplines' action and defined guidelines for an approach involving intervention as well as highlighting implications for practice and research.

  11. An Approach to Quality Estimation in Model-Based Development

    DEFF Research Database (Denmark)

    Holmegaard, Jens Peter; Koch, Peter; Ravn, Anders Peter

    2004-01-01

    We present an approach to estimation of parameters for design space exploration in Model-Based Development, where synthesis of a system is done in two stages. Component qualities like space, execution time or power consumption are defined in a repository by platform dependent values. Connectors...... are treated as special components; they have platform dependent overhead values for the qualities and composition functions, defining how qualities are computed from the values of connected components. The approach is exemplified with a prototype estimation tool applied to an OFDM-decoding module modelled...

  12. Network Medicine: A Network-based Approach to Human Diseases

    Science.gov (United States)

    Ghiassian, Susan Dina

    With the availability of large-scale data, it is now possible to systematically study the underlying interaction maps of many complex systems in multiple disciplines. Statistical physics has a long and successful history in modeling and characterizing systems with a large number of interacting individuals. Indeed, numerous approaches that were first developed in the context of statistical physics, such as the notion of random walks and diffusion processes, have been applied successfully to study and characterize complex systems in the context of network science. Based on these tools, network science has made important contributions to our understanding of many real-world, self-organizing systems, for example in computer science, sociology and economics. Biological systems are no exception. Indeed, recent studies reflect the necessity of applying statistical and network-based approaches in order to understand complex biological systems, such as cells. In these approaches, a cell is viewed as a complex network consisting of interactions among cellular components, such as genes and proteins. Given the cellular network as a platform, machinery, functionality and failure of a cell can be studied with network-based approaches, a field known as systems biology. Here, we apply network-based approaches to explore human diseases and their associated genes within the cellular network. This dissertation is divided in three parts: (i) A systematic analysis of the connectivity patterns among disease proteins within the cellular network. The quantification of these patterns inspires the design of an algorithm which predicts a disease-specific subnetwork containing yet unknown disease associated proteins. (ii) We apply the introduced algorithm to explore the common underlying mechanism of many complex diseases. We detect a subnetwork from which inflammatory processes initiate and result in many autoimmune diseases. (iii) The last chapter of this dissertation describes the

  13. Revising a design course from a lecture approach to a project-based learning approach

    Science.gov (United States)

    Kunberger, Tanya

    2013-06-01

    In order to develop the evaluative skills necessary for successful performance of design, a senior, Geotechnical Engineering course was revised to immerse students in the complexity of the design process utilising a project-based learning (PBL) approach to instruction. The student-centred approach stresses self-directed group learning, which focuses on the process rather than the result and underscores not only the theoretical but also the practical constraints of a problem. The shift in course emphasis, to skills over concepts, results in reduced content coverage but increased student ability to independently acquire a breadth of knowledge.

  14. Phishing Detection: Analysis of Visual Similarity Based Approaches

    Directory of Open Access Journals (Sweden)

    Ankit Kumar Jain

    2017-01-01

    Full Text Available Phishing is one of the major problems faced by cyber-world and leads to financial losses for both industries and individuals. Detection of phishing attack with high accuracy has always been a challenging issue. At present, visual similarities based techniques are very useful for detecting phishing websites efficiently. Phishing website looks very similar in appearance to its corresponding legitimate website to deceive users into believing that they are browsing the correct website. Visual similarity based phishing detection techniques utilise the feature set like text content, text format, HTML tags, Cascading Style Sheet (CSS, image, and so forth, to make the decision. These approaches compare the suspicious website with the corresponding legitimate website by using various features and if the similarity is greater than the predefined threshold value then it is declared phishing. This paper presents a comprehensive analysis of phishing attacks, their exploitation, some of the recent visual similarity based approaches for phishing detection, and its comparative study. Our survey provides a better understanding of the problem, current solution space, and scope of future research to deal with phishing attacks efficiently using visual similarity based approaches.

  15. Particle filter-based prognostic approach for railway track geometry

    Science.gov (United States)

    Mishra, Madhav; Odelius, Johan; Thaduri, Adithya; Nissen, Arne; Rantatalo, Matti

    2017-11-01

    Track degradation of ballasted railway track systems has to be measured on a regular basis, and these tracks must be maintained by tamping. Tamping aims to restore the geometry to its original shape to ensure an efficient, comfortable and safe transportation system. To minimize the disturbance introduced by tamping, this action has to be planned in advance. Track degradation forecasts derived from regression methods are used to predict when the standard deviation of a specific track section will exceed a predefined maintenance or safety limit. This paper proposes a particle filter-based prognostic approach for railway track degradation; this approach is demonstrated by examining different railway switches. The standard deviation of the longitudinal track degradation is studied, and forecasts of the maintenance limit intersection are derived. The particle filter-based prognostic results are compared with the standard regression method results for four railway switches, and the particle filter method shows similar or better result for the four cases. For longer prediction times, the error of the proposed method is equal to or smaller than that of the regression method. The main advantage of the particle filter-based prognostic approach is its ability to generate a probabilistic result based on input parameters with uncertainties. The distributions of the input parameters propagate through the filter, and the remaining useful life is presented using a particle distribution.

  16. [A complexity-based approach to zoonoses in Colombia].

    Science.gov (United States)

    Agudelo-Suárez, Angela N

    2012-01-01

    The present reflection was aimed at making a contribution towards improving control policy and programs integrality and efficacy in an attempt to answer the following question, "How can understanding zoonoses in Colombia be approached from a complexity-based approach?" The first part of this article examines zoonoses as a complex problem and the reiterated tendency of control policy and programs to deal with them as a simple problem, involving unidisciplinary and reductionist responses. The current status of complexity is synthesized as a paradigm, as are the advantages of using it in analysis and formulating policy and interventions. Possible fields of work are proposed for development when approaching zoonoses in Colombia from a complexity science viewpoint.

  17. A fuzzy behaviorist approach to sensor-based robot control

    Energy Technology Data Exchange (ETDEWEB)

    Pin, F.G.

    1996-05-01

    Sensor-based operation of autonomous robots in unstructured and/or outdoor environments has revealed to be an extremely challenging problem, mainly because of the difficulties encountered when attempting to represent the many uncertainties which are always present in the real world. These uncertainties are primarily due to sensor imprecisions and unpredictability of the environment, i.e., lack of full knowledge of the environment characteristics and dynamics. An approach. which we have named the {open_quotes}Fuzzy Behaviorist Approach{close_quotes} (FBA) is proposed in an attempt to remedy some of these difficulties. This approach is based on the representation of the system`s uncertainties using Fuzzy Set Theory-based approximations and on the representation of the reasoning and control schemes as sets of elemental behaviors. Using the FBA, a formalism for rule base development and an automated generator of fuzzy rules have been developed. This automated system can automatically construct the set of membership functions corresponding to fuzzy behaviors. Once these have been expressed in qualitative terms by the user. The system also checks for completeness of the rule base and for non-redundancy of the rules (which has traditionally been a major hurdle in rule base development). Two major conceptual features, the suppression and inhibition mechanisms which allow to express a dominance between behaviors are discussed in detail. Some experimental results obtained with the automated fuzzy, rule generator applied to the domain of sensor-based navigation in aprion unknown environments. using one of our autonomous test-bed robots as well as a real car in outdoor environments, are then reviewed and discussed to illustrate the feasibility of large-scale automatic fuzzy rule generation using the {open_quotes}Fuzzy Behaviorist{close_quotes} concepts.

  18. Earthquake insurance pricing: a risk-based approach.

    Science.gov (United States)

    Lin, Jeng-Hsiang

    2017-05-23

    Flat earthquake premiums are 'uniformly' set for a variety of buildings in many countries, neglecting the fact that the risk of damage to buildings by earthquakes is based on a wide range of factors. How these factors influence the insurance premiums is worth being studied further. Proposed herein is a risk-based approach to estimate the earthquake insurance rates of buildings. Examples of application of the approach to buildings located in Taipei city of Taiwan were examined. Then, the earthquake insurance rates for the buildings investigated were calculated and tabulated. To fulfil insurance rating, the buildings were classified into 15 model building types according to their construction materials and building height. Seismic design levels were also considered in insurance rating in response to the effect of seismic zone and construction years of buildings. This paper may be of interest to insurers, actuaries, and private and public sectors of insurance. © 2017 The Author(s). Disasters © Overseas Development Institute, 2017.

  19. A belief revision approach for argumentation-based negotiation agents

    Directory of Open Access Journals (Sweden)

    Pilotti Pablo

    2015-09-01

    Full Text Available Negotiation is an interaction that happens in multi-agent systems when agents have conflicting objectives and must look for an acceptable agreement. A typical negotiating situation involves two agents that cannot reach their goals by themselves because they do not have some resources they need or they do not know how to use them to reach their goals. Therefore, they must start a negotiation dialogue, taking also into account that they might have incomplete or wrong beliefs about the other agent’s goals and resources. This article presents a negotiating agent model based on argumentation, which is used by the agents to reason on how to exchange resources and knowledge in order to achieve their goals. Agents that negotiate have incomplete beliefs about the others, so that the exchange of arguments gives them information that makes it possible to update their beliefs. In order to formalize their proposals in a negotiation setting, the agents must be able to generate, select and evaluate arguments associated with such offers, updating their mental state accordingly. In our approach, we will focus on an argumentation-based negotiation model between two cooperative agents. The arguments generation and interpretation process is based on belief change operations (expansions, contractions and revisions, and the selection process is a based on a strategy. This approach is presented through a high-level algorithm implemented in logic programming. We show various theoretical properties associated with this approach, which have been formalized and proved using Coq, a formal proof management system. We also illustrate, through a case study, the applicability of our approach in order to solve a slightly modified version of the well-known home improvement agents problem. Moreover, we present various simulations that allow assessing the impact of belief revision on the negotiation process.

  20. Radiologic characteristics of ependymomas: a case-based approach.

    Science.gov (United States)

    Khatami, David; Kasper, Ekkehard M; Bhadelia, Rafeeque; Rojas, Rafael

    2017-09-22

    The purpose of this paper is to interoduce and review the characteristic imaging features of ependymal neoplasms through a comprehensive case-based approach. Illustrated cases highlight both common and uncommon manifestations of CNS-ependymomas. The combination of imaging features, location of the tumor, and patient's demographics often allow the suggestion of ependymoma as a lead entity in the differential diagnosis. However, significant overlap exists between the radiologic characteristics of ependymomas and those of other tumors commonly encountered in the same locations, which can pose a challenge for a definitive diagnosis based on imaging alone.

  1. Case-based approaches for knowledge application and organisational learning

    DEFF Research Database (Denmark)

    Wang, Chengbo; Johansen, John; Luxhøj, James T.

    2005-01-01

    In dealing with the strategic issues within a manufacturing system, it is necessary to facilitate formulating the composing elements of a set of strategic manufacturing practices and activity patterns that will support an enterprise to reinforce and increase its competitive advantage. These pract......In dealing with the strategic issues within a manufacturing system, it is necessary to facilitate formulating the composing elements of a set of strategic manufacturing practices and activity patterns that will support an enterprise to reinforce and increase its competitive advantage....... These practices and activity patterns are based on learning and applying the knowledge internal and external to an organisation. To ensure their smooth formulation process, there are two important techniques designed – an expert adaptation approach and an expert evaluation approach. These two approaches provide...... structured processes to execute the organisational learning and knowledge application, which intend to guide the practitioners during the process of manufacturing competence development and improvement. They are based on Case-Based Reasoning (CBR) methodology and rely on cases as the primary knowledge supply...

  2. A genetic graph-based approach for partitional clustering.

    Science.gov (United States)

    Menéndez, Héctor D; Barrero, David F; Camacho, David

    2014-05-01

    Clustering is one of the most versatile tools for data analysis. In the recent years, clustering that seeks the continuity of data (in opposition to classical centroid-based approaches) has attracted an increasing research interest. It is a challenging problem with a remarkable practical interest. The most popular continuity clustering method is the spectral clustering (SC) algorithm, which is based on graph cut: It initially generates a similarity graph using a distance measure and then studies its graph spectrum to find the best cut. This approach is sensitive to the parameters of the metric, and a correct parameter choice is critical to the quality of the cluster. This work proposes a new algorithm, inspired by SC, that reduces the parameter dependency while maintaining the quality of the solution. The new algorithm, named genetic graph-based clustering (GGC), takes an evolutionary approach introducing a genetic algorithm (GA) to cluster the similarity graph. The experimental validation shows that GGC increases robustness of SC and has competitive performance in comparison with classical clustering methods, at least, in the synthetic and real dataset used in the experiments.

  3. Influencing factors for condition-based maintenance in railway tracks using knowledge-based approach

    NARCIS (Netherlands)

    Jamshidi, A.; Hajizadeh, S.; Naeimi, M.; Nunez Vicencio, Alfredo; Li, Z.

    2017-01-01

    In this paper, we present a condition-based maintenance decision method using
    knowledge-based approach for rail surface defects. A railway track may contain a considerable number of surface defects which influence track maintenance decisions. The proposed method is based on two sets of

  4. A Model-based Prognostics Approach Applied to Pneumatic Valves

    Directory of Open Access Journals (Sweden)

    Matthew J. Daigle

    2011-01-01

    Full Text Available Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain knowledge of the system, its components, and how they fail by casting the underlying physical phenomena in a physics-based model that is derived from first principles. Uncertainty cannot be avoided in prediction, therefore, algorithms are employed that help in managing these uncertainties. The particle filtering algorithm has become a popular choice for model-based prognostics due to its wide applicability, ease of implementation, and support for uncertainty management. We develop a general model-based prognostics methodology within a robust probabilistic framework using particle filters. As a case study, we consider a pneumatic valve from the Space Shuttle cryogenic refueling system. We develop a detailed physics-based model of the pneumatic valve, and perform comprehensive simulation experiments to illustrate our prognostics approach and evaluate its effectiveness and robustness. The approach is demonstrated using historical pneumatic valve data from the refueling system.

  5. Postmodern Fuzzy System Theory: A Deconstruction Approach Based on Kabbalah

    Directory of Open Access Journals (Sweden)

    Gabriel Burstein

    2014-11-01

    Full Text Available Modern general system theory proposed a holistic integrative approach based on input-state-output dynamics as opposed to the traditional reductionist detail based approach. Information complexity and uncertainty required a fuzzy system theory, based on fuzzy sets and fuzzy logic. While successful in dealing with analysis, synthesis and control of technical engineering systems, general system theory and fuzzy system theory could not fully deal with humanistic and human-like intelligent systems which combine technical engineering components with human or human-like components characterized by their cognitive, emotional/motivational and behavioral/action levels of operation. Such humanistic systems are essential in artificial intelligence, cognitive and behavioral science applications, organization management and social systems, man-machine systems or human factor systems, behavioral knowledge based economics and finance applications. We are introducing here a “postmodern fuzzy system theory” for controlled state dynamics and output fuzzy systems and fuzzy rule based systems using our earlier postmodern fuzzy set theory and a Kabbalah possible worlds model of modal logic and semantics type. In order to create a postmodern fuzzy system theory, we “deconstruct” a fuzzy system in order to incorporate in it the cognitive, emotional and behavioral actions and expressions levels characteristic for humanistic systems. Kabbalah offers a structural, fractal and hierarchic model for integrating cognition, emotions and behavior. We obtain a canonic deconstruction for a fuzzy system into its cognitive, emotional and behavioral fuzzy subsystems.

  6. Conceptual design of jewellery: a space-based aesthetics approach

    Directory of Open Access Journals (Sweden)

    Tzintzi Vaia

    2017-01-01

    Full Text Available Conceptual design is a field that offers various aesthetic approaches to generation of nature-based product design concepts. Essentially, Conceptual Product Design (CPD uses similarities based on the geometrical forms and functionalities. Furthermore, the CAD-based freehand sketch is a primary conceptual tool in the early stages of the design process. The proposed Conceptual Product Design concept is dealing with jewelleries that are inspired from space. Specifically, a number of galaxy features, such as galaxy shapes, wormholes and graphical representation of planet magnetic field are used as inspirations. Those space-based design ideas at a conceptual level can lead to further opportunities for research and economic success of the jewellery industry. A number of illustrative case studies are presented and new opportunities can be derived for economic success.

  7. Model-based approach for elevator performance estimation

    Science.gov (United States)

    Esteban, E.; Salgado, O.; Iturrospe, A.; Isasa, I.

    2016-02-01

    In this paper, a dynamic model for an elevator installation is presented in the state space domain. The model comprises both the mechanical and the electrical subsystems, including the electrical machine and a closed-loop field oriented control. The proposed model is employed for monitoring the condition of the elevator installation. The adopted model-based approach for monitoring employs the Kalman filter as an observer. A Kalman observer estimates the elevator car acceleration, which determines the elevator ride quality, based solely on the machine control signature and the encoder signal. Finally, five elevator key performance indicators are calculated based on the estimated car acceleration. The proposed procedure is experimentally evaluated, by comparing the key performance indicators calculated based on the estimated car acceleration and the values obtained from actual acceleration measurements in a test bench. Finally, the proposed procedure is compared with the sliding mode observer.

  8. Mapping site-based construction workers’ motivation: Expectancy theory approach

    Directory of Open Access Journals (Sweden)

    Parviz Ghoddousi

    2014-03-01

    Full Text Available The aim of this study is to apply a recently proposed model of motivation based on expectancy theory to site-based workers in the construction context and confirm the validity of this model for the construction industry. The study drew upon data from 194 site-based construction workers in Iran to test the proposed model of motivation. To this end, the structural equation modelling (SEM approach based on the confirmatory factor analysis (CFA technique was deployed. The study reveals that the proposed model of expectancy theory incorporating five indicators (i.e. intrinsic instrumentality, extrinsic instrumentality, intrinsic valence, extrinsic valence and expectancy is able to map the process of construction workers’ motivation. Nonetheless, the findings posit that intrinsic indicators could be more effective than extrinsic ones. This proffers the necessity of construction managers placing further focus on intrinsic motivators to motivate workers.

  9. Towards a mechanism-based approach to pain diagnosis

    Science.gov (United States)

    Vardeh, Daniel

    2016-01-01

    The last few decades have witnessed a huge leap forward in our understanding of the mechanistic underpinnings of pain, both in normal states where it helps protect from injury, and in pathological states where pain evolves from a symptom reflecting tissue injury to become the disease itself. However, despite these scientific advances, chronic pain remains extremely challenging to manage clinically. While the number of potential treatment targets has grown substantially and a strong case has been made for a mechanism-based and individualized approach to pain therapy, arguably clinicians are not much more advanced now than 20 years ago, in their capacity to either diagnose or effectively treat their patients. The gulf between pain research and pain management is as wide as ever. We are still currently unable to apply an evidence-based approach to chronic pain management that reflects mechanistic understanding, and instead, clinical practice remains an empirical and often unsatisfactory journey for patients, whose individual response to treatment cannot be predicted. Here we take a common and difficult to treat pain condition, chronic low back pain, and use its presentation in clinical practice as a framework to highlight what is known about pathophysiological pain mechanisms and how we could potentially detect these to drive rational treatment choice. We discuss how present methods of assessment and management still fall well short, however, of any mechanism-based or precision-medicine approach. Nevertheless, substantial improvements in chronic pain management could be possible if a more strategic and coordinated approach were to evolve, one designed to identify the specific mechanisms driving the presenting pain phenotype. We present an analysis of such an approach, highlighting the major problems in identifying mechanisms in patients, and develop a framework for a pain diagnostic ladder that may prove useful in the future, consisting of successive identification of

  10. Matching sensors to missions using a knowledge-based approach

    Science.gov (United States)

    Preece, Alun; Gomez, Mario; de Mel, Geeth; Vasconcelos, Wamberto; Sleeman, Derek; Colley, Stuart; Pearson, Gavin; Pham, Tien; La Porta, Thomas

    2008-04-01

    Making decisions on how best to utilise limited intelligence, surveillance and reconnaisance (ISR) resources is a key issue in mission planning. This requires judgements about which kinds of available sensors are more or less appropriate for specific ISR tasks in a mission. A methodological approach to addressing this kind of decision problem in the military context is the Missions and Means Framework (MMF), which provides a structured way to analyse a mission in terms of tasks, and assess the effectiveness of various means for accomplishing those tasks. Moreover, the problem can be defined as knowledge-based matchmaking: matching the ISR requirements of tasks to the ISR-providing capabilities of available sensors. In this paper we show how the MMF can be represented formally as an ontology (that is, a specification of a conceptualisation); we also represent knowledge about ISR requirements and sensors, and then use automated reasoning to solve the matchmaking problem. We adopt the Semantic Web approach and the Web Ontology Language (OWL), allowing us to import elements of existing sensor knowledge bases. Our core ontologies use the description logic subset of OWL, providing efficient reasoning. We describe a prototype tool as a proof-of-concept for our approach. We discuss the various kinds of possible sensor-mission matches, both exact and inexact, and how the tool helps mission planners consider alternative choices of sensors.

  11. Contingent approach to Internet-based supply network integration

    Science.gov (United States)

    Ho, Jessica; Boughton, Nick; Kehoe, Dennis; Michaelides, Zenon

    2001-10-01

    The Internet is playing an increasingly important role in enhancing the operations of supply networks as many organizations begin to recognize the benefits of Internet- enabled supply arrangements. However, the developments and applications to-date do not extend significantly beyond the dyadic model, whereas the real advantages are to be made with the external and network models to support a coordinated and collaborative based approach. The DOMAIN research group at the University of Liverpool is currently defining new Internet- enabled approaches to enable greater collaboration across supply chains. Different e-business models and tools are focusing on different applications. Using inappropriate e- business models, tools or techniques will bring negative results instead of benefits to all the tiers in the supply network. Thus there are a number of issues to be considered before addressing Internet based supply network integration, in particular an understanding of supply chain management, the emergent business models and evaluating the effects of deploying e-business to the supply network or a particular tier. It is important to utilize a contingent approach to selecting the right e-business model to meet the specific supply chain requirements. This paper addresses the issues and provides a case study on the indirect materials supply networks.

  12. Pedestrian detection from thermal images: A sparse representation based approach

    Science.gov (United States)

    Qi, Bin; John, Vijay; Liu, Zheng; Mita, Seiichi

    2016-05-01

    Pedestrian detection, a key technology in computer vision, plays a paramount role in the applications of advanced driver assistant systems (ADASs) and autonomous vehicles. The objective of pedestrian detection is to identify and locate people in a dynamic environment so that accidents can be avoided. With significant variations introduced by illumination, occlusion, articulated pose, and complex background, pedestrian detection is a challenging task for visual perception. Different from visible images, thermal images are captured and presented with intensity maps based objects' emissivity, and thus have an enhanced spectral range to make human beings perceptible from the cool background. In this study, a sparse representation based approach is proposed for pedestrian detection from thermal images. We first adopted the histogram of sparse code to represent image features and then detect pedestrian with the extracted features in an unimodal and a multimodal framework respectively. In the unimodal framework, two types of dictionaries, i.e. joint dictionary and individual dictionary, are built by learning from prepared training samples. In the multimodal framework, a weighted fusion scheme is proposed to further highlight the contributions from features with higher separability. To validate the proposed approach, experiments were conducted to compare with three widely used features: Haar wavelets (HWs), histogram of oriented gradients (HOG), and histogram of phase congruency (HPC) as well as two classification methods, i.e. AdaBoost and support vector machine (SVM). Experimental results on a publicly available data set demonstrate the superiority of the proposed approach.

  13. Modified trans-oral approach with an inferiorly based flap.

    Science.gov (United States)

    Al-Holou, Wajd N; Park, Paul; Wang, Anthony C; Than, Khoi D; Marentette, Lawrence J

    2010-04-01

    The trans-oral approach allows direct access to pathologies of the anterior craniocervical junction. However, the classic midline incision of the posterior pharyngeal wall can be surgically burdensome and limits lateral exposure. We reviewed the medical records of nine patients undergoing the trans-oral approach. The sites of the pathology ranged from the clivus to C2, and surgical exposure ranged from the clivus to C3. Each operation utilized an inferiorly based flap. None of the patients experienced vascular or neurologic complications, and no patient had a cerebrospinal fluid fistula, pseudomeningocele, or meningitis postoperatively. The trans-oral approach with an inferiorly based flap can therefore be safely and effectively performed with minimal oropharyngeal and neurologic morbidity. Not only does a U-shaped flap allow adequate exposure from the lower half of the clivus to C3, a flap improves lateral exposure, provides a clear operating field, and allows superficial mucosal closure not directly overlying the operative field. (c) 2009 Elsevier Ltd. All rights reserved.

  14. Architectural approaches for HL7-based health information systems implementation.

    Science.gov (United States)

    López, D M; Blobel, B

    2010-01-01

    Information systems integration is hard, especially when semantic and business process interoperability requirements need to be met. To succeed, a unified methodology, approaching different aspects of systems architecture such as business, information, computational, engineering and technology viewpoints, has to be considered. The paper contributes with an analysis and demonstration on how the HL7 standard set can support health information systems integration. Based on the Health Information Systems Development Framework (HIS-DF), common architectural models for HIS integration are analyzed. The framework is a standard-based, consistent, comprehensive, customizable, scalable methodology that supports the design of semantically interoperable health information systems and components. Three main architectural models for system integration are analyzed: the point to point interface, the messages server and the mediator models. Point to point interface and messages server models are completely supported by traditional HL7 version 2 and version 3 messaging. The HL7 v3 standard specification, combined with service-oriented, model-driven approaches provided by HIS-DF, makes the mediator model possible. The different integration scenarios are illustrated by describing a proof-of-concept implementation of an integrated public health surveillance system based on Enterprise Java Beans technology. Selecting the appropriate integration architecture is a fundamental issue of any software development project. HIS-DF provides a unique methodological approach guiding the development of healthcare integration projects. The mediator model - offered by the HIS-DF and supported in HL7 v3 artifacts - is the more promising one promoting the development of open, reusable, flexible, semantically interoperable, platform-independent, service-oriented and standard-based health information systems.

  15. Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System

    Directory of Open Access Journals (Sweden)

    Nitin Balaji Bilgi

    2011-10-01

    Full Text Available The basic aim of this research, described in this paper is to develop a hybrid legal expert system/ knowledge based system, with specific reference to the transfer of property act, within the Indian legal system which is often in demand. In this paper the authors discuss an traditional approach to combining two types of reasoning methodologies, Rule Based Reasoning (RBR and Case Based Reasoning (CBR. In RBR module we have interpreted and implemented rules that occur in legal statutes of the Transfer of property act. In the CBR module we have an implementation to find the related cases. The VisiRule software made available by Logic Programming Associates is used in the development of RBR part this expert system. The authors have used java Net Beans for development of CBR. VisiRule is a decision charting tool, in which the rules are defined by a combination of graphical shapes and pieces of text, and produces rules.

  16. An evidence-based approach to human dermatomes.

    Science.gov (United States)

    Lee, M W L; McPhee, R W; Stringer, M D

    2008-07-01

    The dermatome is a fundamental concept in human anatomy and of major importance in clinical practice. There are significant variations in current dermatome maps in standard anatomy texts. The aim of this study was to undertake a systematic literature review of the available evidence for the distribution of human dermatomes. Particular emphasis was placed on the technique of ascertainment, the location and extent of each dermatome, the number of subjects studied, and methodologic limitations. Our findings demonstrate that current dermatome maps are inaccurate and based on flawed studies. After selecting the best available evidence, a novel evidence-based dermatome map was constructed. This represents the most consistent tactile dermatomal areas for each spinal dorsal nerve root found in most individuals. In addition to highlighting the orderly arrangement, areas of consistency and clinical usefulness of dermatomes, their overlap and variability deserve greater emphasis. This review demonstrates the validity of an evidence-based approach to an anatomical concept.

  17. Scattered Data Processing Approach Based on Optical Facial Motion Capture

    Directory of Open Access Journals (Sweden)

    Qiang Zhang

    2013-01-01

    Full Text Available In recent years, animation reconstruction of facial expressions has become a popular research field in computer science and motion capture-based facial expression reconstruction is now emerging in this field. Based on the facial motion data obtained using a passive optical motion capture system, we propose a scattered data processing approach, which aims to solve the common problems of missing data and noise. To recover missing data, given the nonlinear relationships among neighbors with the current missing marker, we propose an improved version of a previous method, where we use the motion of three muscles rather than one to recover the missing data. To reduce the noise, we initially apply preprocessing to eliminate impulsive noise, before our proposed three-order quasi-uniform B-spline-based fitting method is used to reduce the remaining noise. Our experiments showed that the principles that underlie this method are simple and straightforward, and it delivered acceptable precision during reconstruction.

  18. Market-Based Approach to Mobile Surveillance Systems

    Directory of Open Access Journals (Sweden)

    Ahmed M. Elmogy

    2012-01-01

    Full Text Available The active surveillance of public and private sites is increasingly becoming a very important and critical issue. It is, therefore, imperative to develop mobile surveillance systems to protect these sites. Modern surveillance systems encompass spatially distributed mobile and static sensors in order to provide effective monitoring of persistent and transient objects and events in a given area of interest (AOI. The realization of the potential of mobile surveillance requires the solution of different challenging problems such as task allocation, mobile sensor deployment, multisensor management, cooperative object detection and tracking, decentralized data fusion, and interoperability and accessibility of system nodes. This paper proposes a market-based approach that can be used to handle different problems of mobile surveillance systems. Task allocation and cooperative target tracking are studied using the proposed approach as two challenging problems of mobile surveillance systems. These challenges are addressed individually and collectively.

  19. A symptom-based approach to pharmacologic management of fibromyalgia.

    Science.gov (United States)

    Boomershine, Chad S; Crofford, Leslie J

    2009-04-01

    Fibromyalgia is a prevalent disorder that is characterized by widespread pain along with numerous other symptoms, including fatigue, poor sleep, mood disorders, and stiffness. Previous guidelines for the management of fibromyalgia recommended an approach that integrates pharmacologic and nonpharmacologic therapies selected according to the symptoms experienced by individual patients. However, they offered no recommendations for a system of patient assessment that would provide a basis for individualized treatment selection. We present a simple, rapid and easily remembered system for symptom quantitation and pharmacologic management of fibromyalgia that combines visual analogue scale symptom scores from a modified form of the disease-neutral Fibromyalgia Impact Questionnaire, with a review of medications that can be used to treat the individual symptoms. This symptom-based approach is amenable to caring for patients with fibromyalgia in a busy clinical practice.

  20. Alcoholism and its Effects: an Approach Based on Health Psychology

    Directory of Open Access Journals (Sweden)

    Maria de las Mercedes Pretel Olite

    2014-11-01

    Full Text Available Alcoholism is a complex biopsychosocial disorder that requires a specialised and multidisciplinary approach focusing on both the patient and the family. Alcohol consumption is the most important addiction worldwide due to its prevalence and impact. Therefore, the main objective of a primary care physician should be to facilitate the referral of patients and their families to a structured treatment, support and guidance program during the whole detoxification process. In every health area in Cienfuegos, there are community mental health centers with a staff trained to deal with these disorders in addicts and their family. A literature review was conducted to establish the relationship between alcohol consumption and its harmful effects on health, family and society, using an approach based on Health Psychology.

  1. Hypercompetitive Environments: An Agent-based model approach

    Science.gov (United States)

    Dias, Manuel; Araújo, Tanya

    Information technology (IT) environments are characterized by complex changes and rapid evolution. Globalization and the spread of technological innovation have increased the need for new strategic information resources, both from individual firms and management environments. Improvements in multidisciplinary methods and, particularly, the availability of powerful computational tools, are giving researchers an increasing opportunity to investigate management environments in their true complex nature. The adoption of a complex systems approach allows for modeling business strategies from a bottom-up perspective — understood as resulting from repeated and local interaction of economic agents — without disregarding the consequences of the business strategies themselves to individual behavior of enterprises, emergence of interaction patterns between firms and management environments. Agent-based models are at the leading approach of this attempt.

  2. Cell based therapeutic approach in vascular surgery: application and review

    Directory of Open Access Journals (Sweden)

    Rocca Aldo

    2017-10-01

    Full Text Available Multipotent stem cells - such as mesenchymal stem/stromal cells and stem cells derived from different sources like vascular wall are intensely studied to try to rapidly translate their discovered features from bench to bedside. Vascular wall resident stem cells recruitment, differentiation, survival, proliferation, growth factor production, and signaling pathways transduced were analyzed. We studied biological properties of vascular resident stem cells and explored the relationship from several factors as Matrix Metalloproteinases (MMPs and regulations of biological, translational and clinical features of these cells. In this review we described a translational and clinical approach to Adult Vascular Wall Resident Multipotent Vascular Stem Cells (VW-SCs and reported their involvement in alternative clinical approach as cells based therapy in vascular disease like arterial aneurysms or peripheral arterial obstructive disease.

  3. An Agent Based approach to design Serious Game

    Directory of Open Access Journals (Sweden)

    Manuel Gentile

    2014-06-01

    Full Text Available Serious games are designed to train and educate learners, opening up new learning approaches like exploratory learning and situated cognition.  Despite growing interest in these games, their design is still an artisan process.On the basis of experiences in designing computer simulation, this paper proposes an agent-based approach to guide the design process of a serious game. The proposed methodology allows the designer to strike the right equilibrium between educational effectiveness and entertainment, realism and complexity.The design of the PNPVillage game is used as a case study. The PNPVillage game aims to introduce and foster an entrepreneurial mindset among young students. It was implemented within the framework of the European project “I  can… I cannot… I go!” Rev.2

  4. Quantum Ensemble Classification: A Sampling-Based Learning Control Approach.

    Science.gov (United States)

    Chen, Chunlin; Dong, Daoyi; Qi, Bo; Petersen, Ian R; Rabitz, Herschel

    2017-06-01

    Quantum ensemble classification (QEC) has significant applications in discrimination of atoms (or molecules), separation of isotopes, and quantum information extraction. However, quantum mechanics forbids deterministic discrimination among nonorthogonal states. The classification of inhomogeneous quantum ensembles is very challenging, since there exist variations in the parameters characterizing the members within different classes. In this paper, we recast QEC as a supervised quantum learning problem. A systematic classification methodology is presented by using a sampling-based learning control (SLC) approach for quantum discrimination. The classification task is accomplished via simultaneously steering members belonging to different classes to their corresponding target states (e.g., mutually orthogonal states). First, a new discrimination method is proposed for two similar quantum systems. Then, an SLC method is presented for QEC. Numerical results demonstrate the effectiveness of the proposed approach for the binary classification of two-level quantum ensembles and the multiclass classification of multilevel quantum ensembles.

  5. A Component Based Approach to Scientific Workflow Management

    CERN Document Server

    Le Goff, Jean-Marie; Baker, Nigel; Brooks, Peter; McClatchey, Richard

    2001-01-01

    CRISTAL is a distributed scientific workflow system used in the manufacturing and production phases of HEP experiment construction at CERN. The CRISTAL project has studied the use of a description driven approach, using meta- modelling techniques, to manage the evolving needs of a large physics community. Interest from such diverse communities as bio-informatics and manufacturing has motivated the CRISTAL team to re-engineer the system to customize functionality according to end user requirements but maximize software reuse in the process. The next generation CRISTAL vision is to build a generic component architecture from which a complete software product line can be generated according to the particular needs of the target enterprise. This paper discusses the issues of adopting a component product line based approach and our experiences of software reuse.

  6. A cloud-based approach to medical NLP.

    Science.gov (United States)

    Chard, Kyle; Russell, Michael; Lussier, Yves A; Mendonça, Eneida A; Silverstein, Jonathan C

    2011-01-01

    Natural Language Processing (NLP) enables access to deep content embedded in medical texts. To date, NLP has not fulfilled its promise of enabling robust clinical encoding, clinical use, quality improvement, and research. We submit that this is in part due to poor accessibility, scalability, and flexibility of NLP systems. We describe here an approach and system which leverages cloud-based approaches such as virtual machines and Representational State Transfer (REST) to extract, process, synthesize, mine, compare/contrast, explore, and manage medical text data in a flexibly secure and scalable architecture. Available architectures in which our Smntx (pronounced as semantics) system can be deployed include: virtual machines in a HIPAA-protected hospital environment, brought up to run analysis over bulk data and destroyed in a local cloud; a commercial cloud for a large complex multi-institutional trial; and within other architectures such as caGrid, i2b2, or NHIN.

  7. A Competence-Based Approach to Sustainable Innovation Teaching

    DEFF Research Database (Denmark)

    McAloone, Timothy Charles

    2007-01-01

    on sustainable innovation. By focusing particularly on the Design & Innovation programme’s fifth semester, which is entitled Innovation for Sustainability, the efforts we have made to renew the educational approach and contents in our engineering teaching will be shown in this paper. This semester has been...... the object of a research exercise, to affect and observe various approaches to the teaching of design. Particular attention will be paid in this case to competencies, both initiated in the teaching and the evaluated in the students’ interpretation of the theoretical contents. The lessons learned from...... the first three years of this semester’s application and teaching to approximately 55 students per year are presented and discussed. After introducing the motivation and background for establishing the education programme, the consideration of competence-based education is described, in the context...

  8. Assessment of acid-base balance. Stewart's approach.

    Science.gov (United States)

    Fores-Novales, B; Diez-Fores, P; Aguilera-Celorrio, L J

    2016-04-01

    The study of acid-base equilibrium, its regulation and its interpretation have been a source of debate since the beginning of 20th century. Most accepted and commonly used analyses are based on pH, a notion first introduced by Sorensen in 1909, and on the Henderson-Hasselbalch equation (1916). Since then new concepts have been development in order to complete and make easier the understanding of acid-base disorders. In the early 1980's Peter Stewart brought the traditional interpretation of acid-base disturbances into question and proposed a new method. This innovative approach seems more suitable for studying acid-base abnormalities in critically ill patients. The aim of this paper is to update acid-base concepts, methods, limitations and applications. Copyright © 2015 Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor. Publicado por Elsevier España, S.L.U. All rights reserved.

  9. TOURISM SEGMENTATION BASED ON TOURISTS PREFERENCES: A MULTIVARIATE APPROACH

    Directory of Open Access Journals (Sweden)

    Sérgio Dominique Ferreira

    2010-11-01

    Full Text Available Over the last decades, tourism became one of the most important sectors of the international economy. Specifically in Portugal and Brazil, its contribution to Gross Domestic Product (GDP and job creation is quite relevant. In this sense, to follow a strong marketing approach on the management of tourism resources of a country comes to be paramount. Such an approach should be based on innovations which help unveil the preferences of tourists with accuracy, turning it into a competitive advantage. In this context, the main objective of the present study is to illustrate the importance and benefits associated with the use of multivariate methodologies for market segmentation. Another objective of this work is to illustrate on the importance of a post hoc segmentation. In this work, the authors applied a Cluster Analysis, with a hierarchical method followed by an  optimization method. The main results of this study allow the identification of five clusters that are distinguished by assigning special importance to certain tourism attributes at the moment of choosing a specific destination. Thus, the authors present the advantages of post hoc segmentation based on tourists’ preferences, in opposition to an a priori segmentation based on socio-demographic characteristics.

  10. Knowledge-based approach to medical image processing monitoring

    Science.gov (United States)

    Chameroy, Virginie; Aubry, Florent; Di Paola, Robert

    1995-05-01

    The clinical use of image processing requires both medical knowledge and expertise in image processing techniques. We have designed a knowledge-based interactive quantification support system (IQSS) to help the medical user in the use and evaluation of medical image processing, and in the development of specific protocols. As the user proceeds according to a heuristic and intuitive approach, our system is meant to work according to a similar behavior. At the basis of the reasoning of our monitoring system, there are the semantic features of an image and of image processing. These semantic features describe their intrinsic properties, and are not symbolic description of the image content. Their obtention requires modeling of medical image and of image processing procedures. Semantic interpretation function gives rules to obtain the values of the semantic features extracted from these models. Then, commonsense compatibility rules yield to compatibility criteria which are based on a partial order (a subsumption relationship) on image and image processing, enabling a comparison to be made between data available to be processed and appropriate image processing procedures. This knowledge-based approach makes IQSS modular, flexible and consequently well adapted to aid in the development and in the utilization of image processing methods for multidimensional and multimodality medical image quantification.

  11. On a Registration-Based Approach to Sensor Network Localization

    Science.gov (United States)

    Sanyal, Rajat; Jaiswal, Monika; Chaudhury, Kunal Narayan

    2017-10-01

    We consider a registration-based approach for localizing sensor networks from range measurements. This is based on the assumption that one can find overlapping cliques spanning the network. That is, for each sensor, one can identify geometric neighbors for which all inter-sensor ranges are known. Such cliques can be efficiently localized using multidimensional scaling. However, since each clique is localized in some local coordinate system, we are required to register them in a global coordinate system. In other words, our approach is based on transforming the localization problem into a problem of registration. In this context, the main contributions are as follows. First, we describe an efficient method for partitioning the network into overlapping cliques. Second, we study the problem of registering the localized cliques, and formulate a necessary rigidity condition for uniquely recovering the global sensor coordinates. In particular, we present a method for efficiently testing rigidity, and a proposal for augmenting the partitioned network to enforce rigidity. A recently proposed semidefinite relaxation of global registration is used for registering the cliques. We present simulation results on random and structured sensor networks to demonstrate that the proposed method compares favourably with state-of-the-art methods in terms of run-time, accuracy, and scalability.

  12. A web-based approach to data imputation

    KAUST Repository

    Li, Zhixu

    2013-10-24

    In this paper, we present WebPut, a prototype system that adopts a novel web-based approach to the data imputation problem. Towards this, Webput utilizes the available information in an incomplete database in conjunction with the data consistency principle. Moreover, WebPut extends effective Information Extraction (IE) methods for the purpose of formulating web search queries that are capable of effectively retrieving missing values with high accuracy. WebPut employs a confidence-based scheme that efficiently leverages our suite of data imputation queries to automatically select the most effective imputation query for each missing value. A greedy iterative algorithm is proposed to schedule the imputation order of the different missing values in a database, and in turn the issuing of their corresponding imputation queries, for improving the accuracy and efficiency of WebPut. Moreover, several optimization techniques are also proposed to reduce the cost of estimating the confidence of imputation queries at both the tuple-level and the database-level. Experiments based on several real-world data collections demonstrate not only the effectiveness of WebPut compared to existing approaches, but also the efficiency of our proposed algorithms and optimization techniques. © 2013 Springer Science+Business Media New York.

  13. Multi-Robot Searching using Game-Theory Based Approach

    Directory of Open Access Journals (Sweden)

    Yan Meng

    2008-11-01

    Full Text Available This paper proposes a game-theory based approach in a multi–target searching using a multi-robot system in a dynamic environment. It is assumed that a rough priori probability map of the targets' distribution within the environment is given. To consider the interaction between the robots, a dynamic-programming equation is proposed to estimate the utility function for each robot. Based on this utility function, a cooperative nonzero-sum game is generated, where both pure Nash Equilibrium and mixed-strategy Equilibrium solutions are presented to achieve an optimal overall robot behaviors. A special consideration has been taken to improve the real-time performance of the game-theory based approach. Several mechanisms, such as event-driven discretization, one-step dynamic programming, and decision buffer, have been proposed to reduce the computational complexity. The main advantage of the algorithm lies in its real-time capabilities whilst being efficient and robust to dynamic environments.

  14. Big Data Analytics in Immunology: A Knowledge-Based Approach

    Directory of Open Access Journals (Sweden)

    Guang Lan Zhang

    2014-01-01

    Full Text Available With the vast amount of immunological data available, immunology research is entering the big data era. These data vary in granularity, quality, and complexity and are stored in various formats, including publications, technical reports, and databases. The challenge is to make the transition from data to actionable knowledge and wisdom and bridge the knowledge gap and application gap. We report a knowledge-based approach based on a framework called KB-builder that facilitates data mining by enabling fast development and deployment of web-accessible immunological data knowledge warehouses. Immunological knowledge discovery relies heavily on both the availability of accurate, up-to-date, and well-organized data and the proper analytics tools. We propose the use of knowledge-based approaches by developing knowledgebases combining well-annotated data with specialized analytical tools and integrating them into analytical workflow. A set of well-defined workflow types with rich summarization and visualization capacity facilitates the transformation from data to critical information and knowledge. By using KB-builder, we enabled streamlining of normally time-consuming processes of database development. The knowledgebases built using KB-builder will speed up rational vaccine design by providing accurate and well-annotated data coupled with tailored computational analysis tools and workflow.

  15. Big data analytics in immunology: a knowledge-based approach.

    Science.gov (United States)

    Zhang, Guang Lan; Sun, Jing; Chitkushev, Lou; Brusic, Vladimir

    2014-01-01

    With the vast amount of immunological data available, immunology research is entering the big data era. These data vary in granularity, quality, and complexity and are stored in various formats, including publications, technical reports, and databases. The challenge is to make the transition from data to actionable knowledge and wisdom and bridge the knowledge gap and application gap. We report a knowledge-based approach based on a framework called KB-builder that facilitates data mining by enabling fast development and deployment of web-accessible immunological data knowledge warehouses. Immunological knowledge discovery relies heavily on both the availability of accurate, up-to-date, and well-organized data and the proper analytics tools. We propose the use of knowledge-based approaches by developing knowledgebases combining well-annotated data with specialized analytical tools and integrating them into analytical workflow. A set of well-defined workflow types with rich summarization and visualization capacity facilitates the transformation from data to critical information and knowledge. By using KB-builder, we enabled streamlining of normally time-consuming processes of database development. The knowledgebases built using KB-builder will speed up rational vaccine design by providing accurate and well-annotated data coupled with tailored computational analysis tools and workflow.

  16. A Notation Based Approach To Film Pre-vis

    OpenAIRE

    Chakravarthy, Ajay; Beales, Richard; Jung, Yvonne; Wagner, Sebastian; Jung, Christoph; Yannopoulous, Angelos; Koutsoutos, Stefanos; Schiffmann, Rolf; Hedtke, Rolf; Saenen, Ignace

    2010-01-01

    This paper describes ANSWER which is a new approach to the creative process of film production. It is based on a symbolic notation system called Director Notation (DN) through which film directors are free to express their creative intent much like a music composer uses musical notation. The notation populates a semantic model which is machine processable and this input is automatically converted into a lightweight 3D pre-vis. ANSWER is integrated with DFT BONES Dailies, so that in post-produ...

  17. Reconfigurable diplexer based on switched delay line approach

    DEFF Research Database (Denmark)

    Zhurbenko, Vitaliy; Acar, Öncel; Ruaro, Andrea

    2013-01-01

    In this work, a concept for the realization of a reconfigurable microwave multiplexer based on a switched delay-line topology is presented. The multiplexing concept is studied by considering a diplexer example. The topology provides two times reduction in the number of filters in comparison...... to the conventional directional filter approach. The switched delay-line topology enables the lossy and nonlinear switching elements to be used as a part of the coupling elements rather than within the resonators. Therefore, the diplexer potentially allows for a low insertion loss and high linearity. In addition...

  18. Control system of motivation of personal based on gradient approach

    Directory of Open Access Journals (Sweden)

    Doliatovskii Valerii Anastasievich

    2014-07-01

    Full Text Available The concept of management by motivation of workers on the basis of definition of sensitivity of results of work to influence various motives is proved. There by the object of management is identified by a set of indicators of sensitivity which are the limiting sizes defining reaction of workers on motives. By averaging of the given questionnaires the matrix of identification of system of motivation is received. On its basis the decision of direct and return problems of management is possible. Experimental data about results of application are led to a choice of system of motivation based on gradient the approach.

  19. A mechanistic based approach for enhancing buccal mucoadhesion of chitosan

    DEFF Research Database (Denmark)

    Meng-Lund, Emil; Muff-Westergaard, Christian; Sander, Camilla

    2014-01-01

    the mucoadhesiveness of buccal formulations. The interaction between chitosan of different chain lengths and porcine gastric mucin (PGM) was studied using a complex coacervation model (CCM), isothermal titration calorimetry (ITC) and a tensile detachment model (TDM). The effect of pH was assessed in all three models...... and the approach to add a buffer to chitosan based drug delivery systems is a means to optimize and enhance buccal drug absorption. The CCM demonstrated optimal interactions between chitosan and PGM at pH 5.2. The ITC experiments showed a significantly increase in affinity between chitosan and PGM at pH 5...

  20. Achieving Usability of Adaptable Software: The Amf-Based Approach

    Science.gov (United States)

    Tarpin-Bernard, Franck; Samaan, Kinan; David, Bertrand

    This chapter proposes a novel model-based approach for adapting interactive applications to various contexts while ensuring its usability. After a brief overview of the existing software architecture models for HCI and strategies for adaptation, we detail the models we are proposing. This includes task, concept, platform, and user models as well as an interaction model. All these models are linked via an underlying architecture called AMF. It ensures the relationships between all the other models and encapsulates the key usability attributes. We will also show how these models are embedded in a process and a method for building adaptive software.

  1. CT findings in acute peritonitis: a pattern-based approach

    Science.gov (United States)

    Filippone, Antonella; Cianci, Roberta; Pizzi, Andrea Delli; Esposito, Gianluigi; Pulsone, Pierluigi; Tavoletta, Alessandra; Timpani, Mauro; Cotroneo, Antonio Raffaele

    2015-01-01

    Many inflammatory and infectious entities may acutely affect the peritoneum causing a thickening of its layers. Unfortunately, several acute peritoneal diseases can have overlapping features, both clinically and at imaging. Therefore, the awareness of the clinical context, although useful, may be sometimes insufficient to identify the underlying cause. This article provides a specific computed tomography-based approach including morphologic characteristics of peritoneal thickening (e.g., smooth, irregular, or nodular) and ancillary findings to narrow the differential diagnosis of acute peritonitis. PMID:26359872

  2. Development of an Inquiry-Based Learning Support System Based on an Intelligent Knowledge Exploration Approach

    Science.gov (United States)

    Wu, Ji-Wei; Tseng, Judy C. R.; Hwang, Gwo-Jen

    2015-01-01

    Inquiry-Based Learning (IBL) is an effective approach for promoting active learning. When inquiry-based learning is incorporated into instruction, teachers provide guiding questions for students to actively explore the required knowledge in order to solve the problems. Although the World Wide Web (WWW) is a rich knowledge resource for students to…

  3. Preparing Students for Community-Based Learning Using an Asset-Based Approach

    Science.gov (United States)

    Garoutte, Lisa; McCarthy-Gilmore, Kate

    2014-01-01

    One goal of service and community-based learning is to produce students who are more tightly engaged in the larger communities surrounding their institutions. Drawing on data from three courses, we argue that an asset-based approach plays a role in creating authentic campus-community partnerships that strive to engage students as members of the…

  4. RICH SEMANTIC SENTIMENT ANALYSIS USING LEXICON BASED APPROACH

    Directory of Open Access Journals (Sweden)

    Hedayatullah Lodin

    2017-07-01

    Full Text Available Web is a huge repository of information, and a massive amount of data is generated everyday on online platforms. Information, can be facts and opinions, facts are objective statements about an event, and opinions are subjective statements that reflect the sentiments of a person towards an event. Research on sentiment analysis has increased tremendously in recent years due to its wide variety of applications. To analyze sentiments, certain methods have been proposed, which can be broadly categorized as supervised machine learning and lexicon based approaches. Supervised machine learning methods are giving high accuracy but these methods need training data and are domain dependent, while lexicon-based methods are not domain dependent. Although, building of lexicon is costly, but once constructed, it can be applied for a wide variety of domains, but still lexicon based methods are restricted to their dictionaries and are full-dependent on the presence of terms that explicitly reflect the sentiment, while in many cases the sentiment of a term is implicitly reflected by the semantics of its context. Therefore, we’ve proposed context aware, semantically rich (conceptual & contextual semantics lexicon-based method which is different from traditional lexicon-based methods that assigns sentiment score and strength to terms in a dynamic way, and outperforms baselines.

  5. An approach to localization for ensemble-based data assimilation.

    Science.gov (United States)

    Wang, Bin; Liu, Juanjuan; Liu, Li; Xu, Shiming; Huang, Wenyu

    2018-01-01

    Localization techniques are commonly used in ensemble-based data assimilation (e.g., the Ensemble Kalman Filter (EnKF) method) because of insufficient ensemble samples. They can effectively ameliorate the spurious long-range correlations between the background and observations. However, localization is very expensive when the problem to be solved is of high dimension (say 106 or higher) for assimilating observations simultaneously. To reduce the cost of localization for high-dimension problems, an approach is proposed in this paper, which approximately expands the correlation function of the localization matrix using a limited number of principal eigenvectors so that the Schür product between the localization matrix and a high-dimension covariance matrix is reduced to the sum of a series of Schür products between two simple vectors. These eigenvectors are actually the sine functions with different periods and phases. Numerical experiments show that when the number of principal eigenvectors used reaches 20, the approximate expansion of the correlation function is very close to the exact one in the one-dimensional (1D) and two-dimensional (2D) cases. The new approach is then applied to localization in the EnKF method, and its performance is evaluated in assimilation-cycle experiments with the Lorenz-96 model and single assimilation experiments using a barotropic shallow water model. The results suggest that the approach is feasible in providing comparable assimilation analysis with far less cost.

  6. Pedestrian safety management using the risk-based approach

    Directory of Open Access Journals (Sweden)

    Romanowska Aleksandra

    2017-01-01

    Full Text Available The paper presents a concept of a multi-level pedestrian safety management system. Three management levels are distinguished: strategic, tactical and operational. The basis for the proposed approach to pedestrian safety management is a risk-based method. In the approach the elements of behavioural and systemic theories were used, allowing for the development of a formalised and repeatable procedure integrating the phases of risk assessment and response to the hazards of road crashes involving pedestrians. Key to the method are tools supporting pedestrian safety management. According to the risk management approach, the tools can be divided into two groups: tools supporting risk assessment and tools supporting risk response. In the paper attention is paid to selected tools supporting risk assessment, with particular emphasis on the methods for estimating forecasted pedestrian safety measures (at strategic, national and regional level and identification of particularly dangerous locations in terms of pedestrian safety at tactical (regional and local and operational level. The proposed pedestrian safety management methods and tools can support road administration in making rational decisions in terms of road safety, safety of road infrastructure, crash elimination measures or reducing the consequences suffered by road users (particularly pedestrians as a result of road crashes.

  7. Approaches to setting organism-based ballast water discharge standards

    Science.gov (United States)

    Lee, Henry; Reusser, Deborah A.; Frazier, Melanie

    2013-01-01

    As a vector by which foreign species invade coastal and freshwater waterbodies, ballast water discharge from ships is recognized as a major environmental threat. The International Maritime Organization (IMO) drafted an international treaty establishing ballast water discharge standards based on the number of viable organisms per volume of ballast discharge for different organism size classes. Concerns that the IMO standards are not sufficiently protective have initiated several state and national efforts in the United States to develop more stringent standards. We evaluated seven approaches to establishing discharge standards for the >50-μm size class: (1) expert opinion/management consensus, (2) zero detectable living organisms, (3) natural invasion rates, (4) reaction–diffusion models, (5) population viability analysis (PVA) models, (6) per capita invasion probabilities (PCIP), and (7) experimental studies. Because of the difficulty in synthesizing scientific knowledge in an unbiased and transparent fashion, we recommend the use of quantitative models instead of expert opinion. The actual organism concentration associated with a “zero detectable organisms” standard is defined by the statistical rigor of its monitoring program; thus it is not clear whether such a standard is as stringent as other standards. For several reasons, the natural invasion rate, reaction–diffusion, and experimental approaches are not considered suitable for generating discharge standards. PVA models can be used to predict the likelihood of establishment of introduced species but are limited by a lack of population vital rates for species characteristic of ballast water discharges. Until such rates become available, PVA models are better suited to evaluate relative efficiency of proposed standards rather than predicting probabilities of invasion. The PCIP approach, which is based on historical invasion rates at a regional scale, appears to circumvent many of the indicated problems

  8. Model checking for clinical guidelines: an agent-based approach.

    Science.gov (United States)

    Giordano, L; Terenziani, P; Bottrighi, A; Montani, S; Donzella, L

    2006-01-01

    In this paper, we propose a new computer-based approach to model clinical guidelines, adopting the agent-based paradigm. We first show how clinical guidelines can be modelled in an agent like fashion in the specification language Promela of the model checker SPIN. Then, we describe the impact of such a move: by using SPIN model-checking facilities, one can automatically prove a wide range of properties concerning the modeled guidelines. As a proof of concept, we apply such a methodology to the clinical guidelines in GLARE, a domain-independent prototypical system for acquiring, representing and executing clinical guidelines, which has been built within a 7-year project with Azienda Ospedaliera San Giovanni Battista in Turin (one of the largest hospitals in Italy).

  9. Fuzzy Axiomatic Design approach based green supplier selection

    DEFF Research Database (Denmark)

    Kannan, Devika; Govindan, Kannan; Rajendran, Sivakumar

    2015-01-01

    proposes a multi-criteria decision-making (MCDM) approach called Fuzzy Axiomatic Design (FAD) to select the best green supplier for Singapore-based plastic manufacturing company. At first, the environmental criteria was developed along with the traditional criteria based on the literature review...... and company requirements. Next, the FAD methodology evaluates the requirements of both the manufacturer (design needs) and the supplier (functional needs), and because multiple criteria must be considered, a multi-objective optimization model of a fuzzy nature must be developed. The application...... responsible in addition to being efficiently managed. A significant way to implement responsible GSCM is to reconsider, in innovative ways, the purchase and supply cycle, and a preliminary step would be to ensure that the supplier of goods successfully incorporates green criteria. Therefore, this paper...

  10. Evolutionary Approach Based on Active Edges Detection for Images Segmentation

    Directory of Open Access Journals (Sweden)

    Slatnia Sihem

    2015-03-01

    Full Text Available There are many methods for segmentation which vary strongly in their approach to the problem of image segmentation. In this paper, We specified the study in a particular segmentation method of radiological images based on the active edges detection. The optimize solutions was chosen as the genetic algorithm optimization method, and to compare this formalism with other existing methods, we chose a greedy algorithm is criterion for its timeliness. we propose a method of genetic active edge detection in images gray level. In fact, for the convergence of the edge to the object edges, we use the classic and the greedy method. Indeed, the proposed method is based on the active edges optimization using the genetic algorithms process to minimize a sum various energies, in order to evolve a population of snakes to an individual who has the minimum energy.

  11. Individual-based approach to fish population dynamics: An overview

    Energy Technology Data Exchange (ETDEWEB)

    Van Winkle, W.; Rose, K.A. (Oak Ridge National Lab., TN (United States)); Chambers, R.C. (Huntsman Marine Science Centre, New Brunswick (Canada))

    1993-05-01

    Individual-based simulation modeling tracks the attributes of individual fish through time and aggregates them to generate insights into population function. By seeking to understand how fish of differing phenotypes respond to variations in physicochemical and biological environments, analysts hope to improve predictions of population trends. A review of eight accompanying papers highlights the promise and current limitations of the individual-based approach. Among the challenges to be faced are accurately representing feeding encounter rates, extending models to account for spatial heterogeneity and transgenerational responses, dealing with practical limits to the amount of data on individuals that can be measured and managed, more fully conceptionalizing natural processes, and acquiring appropriate field data with which to formulate and test the models. 16 refs., 1 tab.

  12. A Model-Based Approach to Constructing Music Similarity Functions

    Science.gov (United States)

    West, Kris; Lamere, Paul

    2006-12-01

    Several authors have presented systems that estimate the audio similarity of two pieces of music through the calculation of a distance metric, such as the Euclidean distance, between spectral features calculated from the audio, related to the timbre or pitch of the signal. These features can be augmented with other, temporally or rhythmically based features such as zero-crossing rates, beat histograms, or fluctuation patterns to form a more well-rounded music similarity function. It is our contention that perceptual or cultural labels, such as the genre, style, or emotion of the music, are also very important features in the perception of music. These labels help to define complex regions of similarity within the available feature spaces. We demonstrate a machine-learning-based approach to the construction of a similarity metric, which uses this contextual information to project the calculated features into an intermediate space where a music similarity function that incorporates some of the cultural information may be calculated.

  13. Opportunistic splitting for scheduling using a score-based approach

    KAUST Repository

    Rashid, Faraan

    2012-06-01

    We consider the problem of scheduling a user in a multi-user wireless environment in a distributed manner. The opportunistic splitting algorithm is applied to find the best group of users without reporting the channel state information to the centralized scheduler. The users find the best among themselves while requiring just a ternary feedback from the common receiver at the end of each mini-slot. The original splitting algorithm is modified to handle users with asymmetric channel conditions. We use a score-based approach with the splitting algorithm to introduce time and throughput fairness while exploiting the multi-user diversity of the network. Analytical and simulation results are given to show that the modified score-based splitting algorithm works well as a fair scheduling scheme with good spectral efficiency and reduced feedback. © 2012 IEEE.

  14. A New Design Approach to game or play based learning

    DEFF Research Database (Denmark)

    Larsen, Lasse Juel

    Abstract: The present paper proposes a new design perspective for game based learning. The general idea is to abandon the long and sought after dream of designing a closed learning system, where students from elementary school to high school without teachers’ interference could learn whatever...... of the average learner from elementary to high school. He or she is often unable to fully grasp, understand or comprehend the learning progress in which he or she is embedded. Portfolios and especially e-portfolios can be used to promote reflections on the both the development and the learning process in order...... to ground the students sense of meaning. This paper proposes another approach: using visualization in immersive 3D-worlds as documentation of learning progress while at the same time constituting a reward system which motivate further learning. The overall design idea is to build a game based learning...

  15. A Thesaurus for Soil Invertebrate Trait-Based Approaches

    Science.gov (United States)

    Nahmani, Johanne; Auclerc, Apolline; Capowiez, Yvan; Caro, Gaël; Cluzeau, Daniel; Cortet, Jérôme; Decaëns, Thibaud; Dubs, Florence; Joimel, Sophie; Guernion, Muriel; Briard, Charlène; Grumiaux, Fabien; Laporte, Baptiste; Pasquet, Alain; Pelosi, Céline; Pernin, Céline; Ponge, Jean-François; Salmon, Sandrine; Santorufo, Lucia; Hedde, Mickaël

    2014-01-01

    Soil invertebrates are known to be much involved in soil behaviour and therefore in the provision of ecosystem services. Functional trait-based approaches are methodologies which can be used to understand soil invertebrates’ responses to their environment. They (i) improve the predictions and (ii) are less dependent on space and time. The way traits have been used recently has led to misunderstandings in the integration and interpretation of data. Trait semantics are especially concerned. The aim of this paper is to propose a thesaurus for soil invertebrate trait-based approaches. T-SITA, an Internet platform, is the first initiative to deal with the semantics of traits and ecological preferences for soil invertebrates. It reflects the agreement of a scientific expert community to fix semantic properties (e.g. definition) of approximately 100 traits and ecological preferences. In addition, T-SITA has been successfully linked with a fully operational database of soil invertebrate traits. Such a link enhances data integration and improves the scientific integrity of data. PMID:25310431

  16. Spatial Data Integration Using Ontology-Based Approach

    Science.gov (United States)

    Hasani, S.; Sadeghi-Niaraki, A.; Jelokhani-Niaraki, M.

    2015-12-01

    In today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process real-time integration. Case in point, the disater management situations that requires obtaining real time data from various sources of information. One of the problematic challenges in the mentioned situation is the high degree of heterogeneity between different organizations data. To solve this issue, we introduce an ontology-based method to provide sharing and integration capabilities for the existing databases. In addition to resolving semantic heterogeneity, better access to information is also provided by our proposed method. Our approach is consisted of three steps, the first step is identification of the object in a relational database, then the semantic relationships between them are modelled and subsequently, the ontology of each database is created. In a second step, the relative ontology will be inserted into the database and the relationship of each class of ontology will be inserted into the new created column in database tables. Last step is consisted of a platform based on service-oriented architecture, which allows integration of data. This is done by using the concept of ontology mapping. The proposed approach, in addition to being fast and low cost, makes the process of data integration easy and the data remains unchanged and thus takes advantage of the legacy application provided.

  17. SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH

    Directory of Open Access Journals (Sweden)

    S. Hasani

    2015-12-01

    Full Text Available In today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process real-time integration. Case in point, the disater management situations that requires obtaining real time data from various sources of information. One of the problematic challenges in the mentioned situation is the high degree of heterogeneity between different organizations data. To solve this issue, we introduce an ontology-based method to provide sharing and integration capabilities for the existing databases. In addition to resolving semantic heterogeneity, better access to information is also provided by our proposed method. Our approach is consisted of three steps, the first step is identification of the object in a relational database, then the semantic relationships between them are modelled and subsequently, the ontology of each database is created. In a second step, the relative ontology will be inserted into the database and the relationship of each class of ontology will be inserted into the new created column in database tables. Last step is consisted of a platform based on service-oriented architecture, which allows integration of data. This is done by using the concept of ontology mapping. The proposed approach, in addition to being fast and low cost, makes the process of data integration easy and the data remains unchanged and thus takes advantage of the legacy application provided.

  18. The ROI CT problem: a shearlet-based regularization approach

    Science.gov (United States)

    Bubba, T. A.; Porta, F.; Zanghirati, G.; Bonettini, S.

    2016-10-01

    The possibility to significantly reduce the X-ray radiation dose and shorten the scanning time is particularly appealing, especially for the medical imaging community. Region- of-interest Computed Tomography (ROI CT) has this potential and, for this reason, is currently receiving increasing attention. Due to the truncation of projection images, ROI CT is a rather challenging problem. Indeed, the ROI reconstruction problem is severely ill-posed in general and naive local reconstruction algorithms tend to be very unstable. To obtain a stable and reliable reconstruction, under suitable noise circumstances, we formulate the ROI CT problem as a convex optimization problem with a regularization term based on shearlets, and possibly nonsmooth. For the solution, we propose and analyze an iterative approach based on the variable metric inexact line-search algorithm (VMILA). The reconstruction performance of VMILA is compared against different regularization conditions, in the case of fan-beam CT simulated data. The numerical tests show that our approach is insensitive to the location of the ROI and remains very stable also when the ROI size is rather small.

  19. Light: an experiments based learning approach with primary school children

    Science.gov (United States)

    Abreu, Cátia; Noversa, Silvana; Varela, Paulo; Costa, Manuel F.

    2014-07-01

    A pedagogical intervention project was carried out at a primary school in the municipality of Vila Verde, Braga in Portugal. In a class of the 3rd grade, composed of 16 students, a practice of inquiry-based science teaching was implemented, addressing the curricular topic "Light Experiments". Various experimental activities were planned within this topic, including: What is light? How does light travel? Does light travel through every material? How is light reflected by a mirror? This project adopted an action research methodology and had as its main objectives: a) to promote a practical and experimental approach to the science component of the Environmental Studies curricular area; b) to describe the scientific meaning construction process inherent to the topics addressed in the classroom with the children, c) to assess the learning steps and children' achievements. Class diaries were prepared, based on field notes and audio recordings taken in the classroom. Through the analysis of the class diary concerning the topic "materials that let light travel through them" we intend to illustrate the process of construction of scientific meanings promoted in the classroom with our approach.

  20. Influencing engineering education through the competency-based approach

    Directory of Open Access Journals (Sweden)

    Ulyanova Olga V.

    2016-01-01

    Full Text Available The article poses a problem of engineering education and training of today, which are facing difficulties while developing an efficient competency-based approach realization. The authors concentrate on an urgent task of developing the integration competence of future engineers which is treated as a metadisciplinary competence providing students with ability and readiness to synthesize subject-oriented professional and social competences into a holistic system. The structure of integration competence is analyzed and the following components are determined: a value and motivation component; a practical activity component; a cognitive component; a self-analysis and self-assessment component. Among distinguishing features of the integration competence the authors define its instrumental character, metadisciplinary and universal properties as well as its nonalgorithmic character. It is shown that professionally oriented training is a core factor of integration competence development. Depending on elements being integrated, the main forms of integration of competences are determined. The model of competence integration presented in the article can serve as the basis for developing methods and conditions for its systematic elaboration in university training. The results of this study can be useful for educators of different administrative levels, teaching-and-training schools which realize a competency-based approach in their teaching.

  1. Exploring a Problem-Based Learning Approach in Pharmaceutics.

    Science.gov (United States)

    McKenzie, Barbara; Brown, Alyson

    2017-09-20

    The basis of this study was to explore the impact of the initiation of a Problem-Base Learning (PBL) approach within a second-year pharmaceutics degree on a Master of Pharmacy programme, introduced as a way of improving deep learning and to foster independent learning. A semi-structured interview was used to seek feedback from the students, and feedback from staff was secured though a focus group. A thematic approach was used for the analysis, once data saturation had been reached. Exam pass-rate statistics were also analysed. Five parent themes were identified from the student interviews: Module structure, Promoting lifelong learning, Integration and future practice, Outcomes and Student experience. The third year exam pass rate improved by 12% in the year following the introduction of PBL in second year. Various recommendations were proposed to further improve the module, based on the findings of this study. These include improving feedback and support through tutorials, reducing the volume of directed study, as well as highlighting the relevance of pharmaceutics to the pharmacy degree. A long-term review would be needed to assess the full implications of PBL teaching within this course.

  2. Exploring a Problem-Based Learning Approach in Pharmaceutics

    Directory of Open Access Journals (Sweden)

    Barbara McKenzie

    2017-09-01

    Full Text Available Objective. The basis of this study was to explore the impact of the initiation of a Problem-Base Learning (PBL approach within a second-year pharmaceutics degree on a Master of Pharmacy programme, introduced as a way of improving deep learning and to foster independent learning. Design. A semi-structured interview was used to seek feedback from the students, and feedback from staff was secured though a focus group. A thematic approach was used for the analysis, once data saturation had been reached. Exam pass-rate statistics were also analysed. Assessment. Five parent themes were identified from the student interviews: Module structure, Promoting lifelong learning, Integration and future practice, Outcomes and Student experience. The third year exam pass rate improved by 12% in the year following the introduction of PBL in second year. Conclusions. Various recommendations were proposed to further improve the module, based on the findings of this study. These include improving feedback and support through tutorials, reducing the volume of directed study, as well as highlighting the relevance of pharmaceutics to the pharmacy degree. A long-term review would be needed to assess the full implications of PBL teaching within this course.

  3. An approach towards problem-based learning in virtual space.

    Science.gov (United States)

    Freudenberg, Lutz S; Bockisch, Andreas; Beyer, Thomas

    2010-01-01

    Problem-based learning (PBL) is an established and efficient approach to sustainable teaching. Here, we describe translation of PBL into the virtual classroom thereby offering novel teaching aspects in the field of Nuclear Medicine. Our teaching approach is implemented on a "moodle" platform and consists of 2 modules: complementary seminar teaching materials and a virtual PBL-classroom, which can be attended via Skype.Over the course of 4 semesters 539 students have accessed our teaching platform. 21 students have participated in the PBL seminar (module 2). After resolving some minor technical difficulties our virtual seminars have evolved into a forum of intense studies, whereby the participating students have learned to become more independent along the workup of the teaching cases. This was reflected in the results of the intra-group presentations and discussions.Quantitative and qualitative evaluation of our moodle-based PBL platform indicates an increasing level of acceptance and enthusiasm by the students. This has initiated discussions about opening our PBL concept to a wider audience within the university and beyond the Nuclear Medicine specialty.

  4. A thesaurus for soil invertebrate trait-based approaches.

    Science.gov (United States)

    Pey, Benjamin; Laporte, Marie-Angélique; Nahmani, Johanne; Auclerc, Apolline; Capowiez, Yvan; Caro, Gaël; Cluzeau, Daniel; Cortet, Jérôme; Decaëns, Thibaud; Dubs, Florence; Joimel, Sophie; Guernion, Muriel; Briard, Charlène; Grumiaux, Fabien; Laporte, Baptiste; Pasquet, Alain; Pelosi, Céline; Pernin, Céline; Ponge, Jean-François; Salmon, Sandrine; Santorufo, Lucia; Hedde, Mickaël

    2014-01-01

    Soil invertebrates are known to be much involved in soil behaviour and therefore in the provision of ecosystem services. Functional trait-based approaches are methodologies which can be used to understand soil invertebrates' responses to their environment. They (i) improve the predictions and (ii) are less dependent on space and time. The way traits have been used recently has led to misunderstandings in the integration and interpretation of data. Trait semantics are especially concerned. The aim of this paper is to propose a thesaurus for soil invertebrate trait-based approaches. T-SITA, an Internet platform, is the first initiative to deal with the semantics of traits and ecological preferences for soil invertebrates. It reflects the agreement of a scientific expert community to fix semantic properties (e.g. definition) of approximately 100 traits and ecological preferences. In addition, T-SITA has been successfully linked with a fully operational database of soil invertebrate traits. Such a link enhances data integration and improves the scientific integrity of data.

  5. TEXT MINING: TEXT SIMILARITY MEASURE FOR NEWS ARTICLES BASED ON STRING BASED APPROACH

    OpenAIRE

    R. Kohila*, Dr. K. Arunesh

    2016-01-01

    Now-a-days, the documents similarity measuring plays an important role in text related researches. There are many applications in document similarity measures such as plagiarism detection, document clustering, automatic essay scoring, information retrieval and machine translation. String Based Similarity, Knowledge Based Similarity and Corpus Based Similarity are the three major approaches proposed by the most of the   researchers to solve the problems in document similarity. In thi...

  6. LEADING CHANGES IN ASSESSMENT USING AN EVIDENCE BASED APPROACH

    Directory of Open Access Journals (Sweden)

    J. O. Macaulay

    2015-08-01

    Full Text Available Introduction and objectivesIt is has been widely accepted that assessment of learning is a critical component of education and that assessment drives/guides student learning through shaping study habits and student approaches to learning. However, although most academics would agree that assessment is a critical aspect of their roles as teachers it is often an aspect of teaching that is regarded more as an additional task rather than an integral component of the teaching/learning continuum. An additional impediment to high quality assessment is the non-evidence based-approach to the decision making process. The overall aim of this project was to improve the quality of assessment in Biochemistry and Molecular Biology undergraduate education by promoting high quality assessment.Materials and methodsTo do this we developed and trialled an audit tool for mapping assessment practices. The audit tool was designed to gather data on current assessment practices and identify areas of good practice in which assessment aligned with the learning objectives and areas in need of improvement. This evidence base will then be used to drive change in assessment.Results and conclusionsUsing the assessment mapping tool we have mapped the assessment regime in a Biochemistry and Molecular Biology major at Monash University. Criteria used included: assessment type, format, timing, assessors, provision of feedback, level of learning (Bloom’s, approaches taken to planning assessment. We have mapped assessment of content and the systematic development of higher order learning and skills progression throughout the program of study. The data has enabled us to examine the assessment at unit (course level as well as the vertical development across the major. This information is now being used to inform a review of the units and the major.

  7. A Comparison of Routing Protocol for WSNs: Redundancy Based Approach A Comparison of Routing Protocol for WSNs: Redundancy Based Approach

    Directory of Open Access Journals (Sweden)

    Anand Prakash

    2014-03-01

    Full Text Available Wireless Sensor Networks (WSNs with their dynamic applications gained a tremendous attention of researchers. Constant monitoring of critical situations attracted researchers to utilize WSNs at vast platforms. The main focus in WSNs is to enhance network localization as much as one could, for efficient and optimal utilization of resources. Different approaches based upon redundancy are proposed for optimum functionality. Localization is always related with redundancy of sensor nodes deployed at remote areas for constant and fault tolerant monitoring. In this work, we propose a comparison of classic flooding and the gossip protocol for homogenous networks which enhances stability and throughput quiet significantly.  

  8. Sequential Bayesian Detection: A Model-Based Approach

    Energy Technology Data Exchange (ETDEWEB)

    Candy, J V

    2008-12-08

    Sequential detection theory has been known for a long time evolving in the late 1940's by Wald and followed by Middleton's classic exposition in the 1960's coupled with the concurrent enabling technology of digital computer systems and the development of sequential processors. Its development, when coupled to modern sequential model-based processors, offers a reasonable way to attack physics-based problems. In this chapter, the fundamentals of the sequential detection are reviewed from the Neyman-Pearson theoretical perspective and formulated for both linear and nonlinear (approximate) Gauss-Markov, state-space representations. We review the development of modern sequential detectors and incorporate the sequential model-based processors as an integral part of their solution. Motivated by a wealth of physics-based detection problems, we show how both linear and nonlinear processors can seamlessly be embedded into the sequential detection framework to provide a powerful approach to solving non-stationary detection problems.

  9. Sequential Bayesian Detection: A Model-Based Approach

    Energy Technology Data Exchange (ETDEWEB)

    Sullivan, E J; Candy, J V

    2007-08-13

    Sequential detection theory has been known for a long time evolving in the late 1940's by Wald and followed by Middleton's classic exposition in the 1960's coupled with the concurrent enabling technology of digital computer systems and the development of sequential processors. Its development, when coupled to modern sequential model-based processors, offers a reasonable way to attack physics-based problems. In this chapter, the fundamentals of the sequential detection are reviewed from the Neyman-Pearson theoretical perspective and formulated for both linear and nonlinear (approximate) Gauss-Markov, state-space representations. We review the development of modern sequential detectors and incorporate the sequential model-based processors as an integral part of their solution. Motivated by a wealth of physics-based detection problems, we show how both linear and nonlinear processors can seamlessly be embedded into the sequential detection framework to provide a powerful approach to solving non-stationary detection problems.

  10. The Vermont Family Based Approach: Family Based Health Promotion, Illness Prevention, and Intervention.

    Science.gov (United States)

    Hudziak, Jim; Ivanova, Masha Y

    2016-04-01

    All health is tied to emotional and behavioral health. To improve population health, we need innovative approaches to healthcare that target emotional and behavioral health. The Vermont Family Based Approach (VFBA) is a healthcare paradigm that aims to improve population health by improving emotional and behavioral health. Because the family is a powerful health-promoting social institution, the VFBA also aims to shift the delivery of healthcare to the family level. This article introduces the VFBA, and presents the main empirical findings that informed the approach in the context of the early childhood period. Copyright © 2016 Elsevier Inc. All rights reserved.

  11. Rule based fuzzy logic approach for classification of fibromyalgia syndrome.

    Science.gov (United States)

    Arslan, Evren; Yildiz, Sedat; Albayrak, Yalcin; Koklukaya, Etem

    2016-06-01

    Fibromyalgia syndrome (FMS) is a chronic muscle and skeletal system disease observed generally in women, manifesting itself with a widespread pain and impairing the individual's quality of life. FMS diagnosis is made based on the American College of Rheumatology (ACR) criteria. However, recently the employability and sufficiency of ACR criteria are under debate. In this context, several evaluation methods, including clinical evaluation methods were proposed by researchers. Accordingly, ACR had to update their criteria announced back in 1990, 2010 and 2011. Proposed rule based fuzzy logic method aims to evaluate FMS at a different angle as well. This method contains a rule base derived from the 1990 ACR criteria and the individual experiences of specialists. The study was conducted using the data collected from 60 inpatient and 30 healthy volunteers. Several tests and physical examination were administered to the participants. The fuzzy logic rule base was structured using the parameters of tender point count, chronic widespread pain period, pain severity, fatigue severity and sleep disturbance level, which were deemed important in FMS diagnosis. It has been observed that generally fuzzy predictor was 95.56 % consistent with at least of the specialists, who are not a creator of the fuzzy rule base. Thus, in diagnosis classification where the severity of FMS was classified as well, consistent findings were obtained from the comparison of interpretations and experiences of specialists and the fuzzy logic approach. The study proposes a rule base, which could eliminate the shortcomings of 1990 ACR criteria during the FMS evaluation process. Furthermore, the proposed method presents a classification on the severity of the disease, which was not available with the ACR criteria. The study was not limited to only disease classification but at the same time the probability of occurrence and severity was classified. In addition, those who were not suffering from FMS were

  12. Simulation and Non-Simulation Based Human Reliability Analysis Approaches

    Energy Technology Data Exchange (ETDEWEB)

    Boring, Ronald Laurids [Idaho National Lab. (INL), Idaho Falls, ID (United States); Shirley, Rachel Elizabeth [Idaho National Lab. (INL), Idaho Falls, ID (United States); Joe, Jeffrey Clark [Idaho National Lab. (INL), Idaho Falls, ID (United States); Mandelli, Diego [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2014-12-01

    Part of the U.S. Department of Energy’s Light Water Reactor Sustainability (LWRS) Program, the Risk-Informed Safety Margin Characterization (RISMC) Pathway develops approaches to estimating and managing safety margins. RISMC simulations pair deterministic plant physics models with probabilistic risk models. As human interactions are an essential element of plant risk, it is necessary to integrate human actions into the RISMC risk model. In this report, we review simulation-based and non-simulation-based human reliability assessment (HRA) methods. Chapter 2 surveys non-simulation-based HRA methods. Conventional HRA methods target static Probabilistic Risk Assessments for Level 1 events. These methods would require significant modification for use in dynamic simulation of Level 2 and Level 3 events. Chapter 3 is a review of human performance models. A variety of methods and models simulate dynamic human performance; however, most of these human performance models were developed outside the risk domain and have not been used for HRA. The exception is the ADS-IDAC model, which can be thought of as a virtual operator program. This model is resource-intensive but provides a detailed model of every operator action in a given scenario, along with models of numerous factors that can influence operator performance. Finally, Chapter 4 reviews the treatment of timing of operator actions in HRA methods. This chapter is an example of one of the critical gaps between existing HRA methods and the needs of dynamic HRA. This report summarizes the foundational information needed to develop a feasible approach to modeling human interactions in the RISMC simulations.

  13. DNA signature-based approaches for bacterial detection and identification.

    Science.gov (United States)

    Albuquerque, Pedro; Mendes, Marta V; Santos, Catarina L; Moradas-Ferreira, Pedro; Tavares, Fernando

    2009-06-01

    During the late eighties, environmental microbiologists realized the potential of the polymerase chain reaction (PCR) for the design of innovative approaches to study microbial communities or to detect and identify microorganisms in diverse and complex environments. In contrast to long-established methods of cultivation-based microbial identification, PCR-based techniques allow for the identification of microorganisms regardless of their culturability. A large number of reports have been published that describe PCR-inspired methods, frequently complemented by sequencing or hybridization profiling, to infer taxonomic and clonal microbial diversity or to detect and identify microorganisms using taxa-specific genomic markers. Typing methods have been particularly useful for microbial ecology-driven studies; however, they are not suitable for diagnostic purposes, such as the detection of specific species, strains or clones. Recently, comprehensive reviews have been written describing the panoply of typing methods available and describing their advantages and limitations; however, molecular approaches for bacterial detection and identification were either not considered or only vaguely discussed. This review focuses on DNA-based methods for bacterial detection and identification, highlighting strategies for selecting taxa-specific loci and emphasizing the molecular techniques and emerging technological solutions for increasing the detection specificity and sensitivity. The massive and increasing number of available bacterial sequences in databases, together with already employed bioinformatics tools, hold promise of more reliable, fast and cost-effective methods for bacterial identification in a wide range of samples in coming years. This tendency will foster the validation and certification of these methods and their routine implementation by certified diagnostic laboratories.

  14. Business Process Management – A Traditional Approach Versus a Knowledge Based Approach

    Directory of Open Access Journals (Sweden)

    Roberto Paiano

    2015-12-01

    Full Text Available The enterprise management represents a heterogeneous aggregate of both resources and assets that need to be coordinated and orchestrated in order to reach the goals related to the business mission. Influences and forces that may influence this process, and also for that they should be considered, are not concentrated in the business environment, but they are related to the entireoperational context of a company. For this reason, business processes must be the most versatile and flexible with respect to the changes that occur within the whole operational context of a company.Considering the supportive role that information systems play in favour of Business Process Management - BPM, it is also essential to implement a constant, continuous and quick mechanism for the information system alignment with respect to the evolution followed by business processes.In particular, such mechanism must intervene on BPM systems in order to keep them aligned and compliant with respect to both the context changes and the regulations. In order to facilitate this alignment mechanism, companies are already referring to the support offered by specific solutions, such as knowledge bases. In this context, a possible solution might be the approach we propose, which is based on a specific framework called Process Management System. Our methodology implements a knowledge base support for business experts, which is not limited to the BPM operating phases, but includes also the engineering and prototyping activities of the corresponding information system. This paper aims to compare and evaluate a traditional BPM approach with respect to theapproach we propose. In effect, such analysis aims to emphasize the lack of traditional methodology especially with respect to the alignment between business processes and information systems, along with their compliance with context domain and regulations.

  15. Nanotechnology-based approaches for regenerative medicine and biosensing

    Science.gov (United States)

    Solanki, Aniruddh P.

    The recent emergence of nanotechnology has set high expectations in many fields of science, especially in biology and medicine. Nanotechnology-based approaches are expected to solve key questions in the emerging field of regenerative medicine. Regenerative medicine essentially deals with regeneration of cells, ultimately leading to the formation of tissues and organs. For this purpose, stem cells, embryonic stem cells or adult stem cells, are thought to be ideal resources. However, many challenges need to be addressed before the full therapeutic potential of stem cells can be harnessed. Controlling the differentiation of stem cells into cells of a specific lineage is extremely vital and challenging. Addressing this challenge, in this work, novel nanotechnology-based approaches for controlling the differentiation of neural stem cells (NSCs) into neurons has been presented. Regeneration of damaged neurons, due to traumatic injuries or degenerative diseases, is extremely challenging. For this purpose, NSCs can be used as resources that can differentiate into neurons, thus having great potential in solving needs of many patients suffering from such conditions. For controlling the differentiation of stem cells, soluble cues (comprising of small molecules and biomolecules) and insoluble cues (cell-cell interactions and cell-microenvironment interactions) play a very important role. The delivery of soluble cues, such as genetic material, into stem cells is extremely challenging. The initial part of this work presents the use of nanomaterials for efficiently delivering soluble cues such as small molecules and small interfering RNA (siRNA) into NSCs for controlling their differentiation into neurons. However, for regenerative purposes, it is preferred that least amounts of the delivery vehicle be used. Thus, the following part of the thesis presents the development and applications of nanotechnology-based approaches for enhancing the differentiation of NSCs into neurons

  16. A Learning Object Approach To Evidence based learning

    Directory of Open Access Journals (Sweden)

    Zabin Visram

    2005-06-01

    Full Text Available This paper describes the philosophy, development and framework of the body of elements formulated to provide an approach to evidence-based learning sustained by Learning Objects and web based technology Due to the demands for continuous improvement in the delivery of healthcare and in the continuous endeavour to improve the quality of life, there is a continuous need for practitioner's to update their knowledge by accomplishing accredited courses. The rapid advances in medical science has meant increasingly, there is a desperate need to adopt wireless schemes, whereby bespoke courses can be developed to help practitioners keep up with expanding knowledge base. Evidently, without current best evidence, practice risks becoming rapidly out of date, to the detriment of the patient. There is a need to provide a tactical, operational and effective environment, which allows professional to update their education, and complete specialised training, just-in-time, in their own time and location. Following this demand in the marketplace the information engineering group, in combination with several medical and dental schools, set out to develop and design a conceptual framework which form the basis of pioneering research, which at last, enables practitioner's to adopt a philosophy of life long learning. The body and structure of this framework is subsumed under the term Object oriented approach to Evidence Based learning, Just-in-time, via Internet sustained by Reusable Learning Objects (The OEBJIRLO Progression. The technical pillars which permit this concept of life long learning are pivoted by the foundations of object oriented technology, Learning objects, Just-in-time education, Data Mining, intelligent Agent technology, Flash interconnectivity and remote wireless technology, which allow practitioners to update their professional skills, complete specialised training which leads to accredited qualifications. This paper sets out to develop and

  17. Radiology information system: a workflow-based approach.

    Science.gov (United States)

    Zhang, Jinyan; Lu, Xudong; Nie, Hongchao; Huang, Zhengxing; van der Aalst, W M P

    2009-09-01

    Introducing workflow management technology in healthcare seems to be prospective in dealing with the problem that the current healthcare Information Systems cannot provide sufficient support for the process management, although several challenges still exist. The purpose of this paper is to study the method of developing workflow-based information system in radiology department as a use case. First, a workflow model of typical radiology process was established. Second, based on the model, the system could be designed and implemented as a group of loosely coupled components. Each component corresponded to one task in the process and could be assembled by the workflow management system. The legacy systems could be taken as special components, which also corresponded to the tasks and were integrated through transferring non-work- flow-aware interfaces to the standard ones. Finally, a workflow dashboard was designed and implemented to provide an integral view of radiology processes. The workflow-based Radiology Information System was deployed in the radiology department of Zhejiang Chinese Medicine Hospital in China. The results showed that it could be adjusted flexibly in response to the needs of changing process, and enhance the process management in the department. It can also provide a more workflow-aware integration method, comparing with other methods such as IHE-based ones. The workflow-based approach is a new method of developing radiology information system with more flexibility, more functionalities of process management and more workflow-aware integration. The work of this paper is an initial endeavor for introducing workflow management technology in healthcare.

  18. Improving operating room turnover time: a systems based approach.

    Science.gov (United States)

    Bhatt, Ankeet S; Carlson, Grant W; Deckers, Peter J

    2014-12-01

    Operating room (OR) turnover time (TT) has a broad and significant impact on hospital administrators, providers, staff and patients. Our objective was to identify current problems in TT management and implement a consistent, reproducible process to reduce average TT and process variability. Initial observations of TT were made to document the existing process at a 511 bed, 24 OR, academic medical center. Three control groups, including one consisting of Orthopedic and Vascular Surgery, were used to limit potential confounders such as case acuity/duration and equipment needs. A redesigned process based on observed issues, focusing on a horizontally structured, systems-based approach has three major interventions: developing consistent criteria for OR readiness, utilizing parallel processing for patient and room readiness, and enhancing perioperative communication. Process redesign was implemented in Orthopedics and Vascular Surgery. Comparisons of mean and standard deviation of TT were made using an independent 2-tailed t-test. Using all surgical specialties as controls (n = 237), mean TT (hh:mm:ss) was reduced by 0:20:48 min (95 % CI, 0:10:46-0:30:50), from 0:44:23 to 0:23:25, a 46.9 % reduction. Standard deviation of TT was reduced by 0:10:32 min, from 0:16:24 to 0:05:52 and frequency of TT≥30 min was reduced from 72.5to 11.7 %. P systems-based focus should drive OR TT design.

  19. DIGITAL ONCOLOGY PATIENT RECORD - HETEROGENEOUS FILE BASED APPROACH

    Directory of Open Access Journals (Sweden)

    Nikolay Sapundzhiev

    2010-12-01

    Full Text Available Introduction: Oncology patients need extensive follow-up and meticulous documentation. The aim of this study was to introduce a simple, platform independent file based system for documentation of diagnostic and therapeutic procedures in oncology patients and test its function.Material and methods: A file-name based system of the type M1M2M3.F2 was introduced, where M1 is a unique identifier for the patient, M2 is the date of the clinical intervention/event, M3 is an identifier for the author of the medical record and F2 is the specific software generated file-name extension.Results: This system is in use at 5 institutions, where a total of 11 persons on 14 different workstations inputted 16591 entries (files for 2370. The merge process was tested on 2 operating systems - when copied together all files sort up as expected by patient, and for each patient in a chronological order, providing a digital cumulative patient record, which contains heterogeneous file formats.Conclusion: The file based approach for storing heterogeneous digital patient related information is an reliable system, which can handle open-source, proprietary, general and custom file formats and seems to be easily scalable. Further development of software for automatic checks of the integrity and searching and indexing of the files is expected to produce a more user-friendly environment

  20. A New Laser Based Approach for Measuring Atmospheric Greenhouse Gases

    Directory of Open Access Journals (Sweden)

    Jeremy Dobler

    2013-11-01

    Full Text Available In 2012, we developed a proof-of-concept system for a new open-path laser absorption spectrometer concept for measuring atmospheric CO2. The measurement approach utilizes high-reliability all-fiber-based, continuous-wave laser technology, along with a unique all-digital lock-in amplifier method that, together, enables simultaneous transmission and reception of multiple fixed wavelengths of light. This new technique, which utilizes very little transmitted energy relative to conventional lidar systems, provides high signal-to-noise (SNR measurements, even in the presence of a large background signal. This proof-of-concept system, tested in both a laboratory environment and a limited number of field experiments over path lengths of 680 m and 1,600 m, demonstrated SNR values >1,000 for received signals of ~18 picoWatts averaged over 60 s. A SNR of 1,000 is equivalent to a measurement precision of ±0.001 or ~0.4 ppmv. The measurement method is expected to provide new capability for automated monitoring of greenhouse gas at fixed sites, such as carbon sequestration facilities, volcanoes, the short- and long-term assessment of urban plumes, and other similar applications. In addition, this concept enables active measurements of column amounts from a geosynchronous orbit for a network of ground-based receivers/stations that would complement other current and planned space-based measurement capabilities.

  1. Team-Based Learning: A New Approach Toward Improving Education

    Directory of Open Access Journals (Sweden)

    Rita Rezaee

    2016-11-01

    Full Text Available  Team-based learning is designed to provide students with both conceptual and procedural knowledge, aiming to enhance active learning and critical thinking. In the present study, team-based learning and lecture methods in teaching the “hospital organization and management” course among hospital management students were compared. This quasi-experimental study was conducted on 25 undergraduate students of management. Teaching sessions were divided into two parts. The first part was taught with interactive lectures and the second part with team-based learning method. The students' knowledge was measured before, immediately and two months (late post-test after teaching. Finally, the mean scores of the final exam and students' satisfaction towards the methods of teaching were measured. There was an improvement in test scores of the students after the TBL sessions when compared to the test scores after lecture sessions (P<0.001. Also, TBL group had significantly a higher amount of knowledge retention compared to the lecture group (P<0.001, but no significant relationship was found between the mean scores of the final exam in the TBL and lecture groups (P=0.116. Finally, the majority of the respondents were more satisfied with TBL sessions compared to the ones held through lecture (P=0.037. The results indicated that TBL provides a better outcome for students. We found that the TBL approach allowed us to create an active learning environment that contributed to the improvement of the students’ performances.

  2. The catchment based approach using catchment system engineering

    Science.gov (United States)

    Jonczyk, Jennine; Quinn, Paul; Barber, Nicholas; Wilkinson, Mark

    2015-04-01

    The catchment based approach (CaBa) has been championed as a potential mechanism for delivery of environmental directives such as the Water Framework Directive in the UK. However, since its launch in 2013, there has been only limited progress towards achieving sustainable, holistic management, with only a few of examples of good practice ( e.g. from the Tyne Rivers trust). Common issues with developing catchment plans over a national scale include limited data and resources to identify issues and source of those issues, how to systematically identify suitable locations for measures or suites of measures that will have the biggest downstream impact and how to overcome barriers for implementing solutions. Catchment System Engineering (CSE) is an interventionist approach to altering the catchment scale runoff regime through the manipulation of hydrological flow pathways throughout the catchment. A significant component of the runoff generation can be managed by targeting hydrological flow pathways at source, such as overland flow, field drain and ditch function, greatly reducing erosive soil losses. Coupled with management of farm nutrients at source, many runoff attenuation features or measures can be co-located to achieve benefits for water quality and biodiversity. A catchment, community-led mitigation measures plan using the CSE approach will be presented from a catchment in Northumberland, Northern England that demonstrate a generic framework for identification of multi-purpose features that slow, store and filter runoff at strategic locations in the landscape. Measures include within-field barriers, edge of field traps and within-ditch measures. Progress on the implementation of measures will be reported alongside potential impacts on the runoff regime at both local and catchment scale and costs.

  3. Learning from physics-based earthquake simulators: a minimal approach

    Science.gov (United States)

    Artale Harris, Pietro; Marzocchi, Warner; Melini, Daniele

    2017-04-01

    Physics-based earthquake simulators are aimed to generate synthetic seismic catalogs of arbitrary length, accounting for fault interaction, elastic rebound, realistic fault networks, and some simple earthquake nucleation process like rate and state friction. Through comparison of synthetic and real catalogs seismologists can get insights on the earthquake occurrence process. Moreover earthquake simulators can be used to to infer some aspects of the statistical behavior of earthquakes within the simulated region, by analyzing timescales not accessible through observations. The develoment of earthquake simulators is commonly led by the approach "the more physics, the better", pushing seismologists to go towards simulators more earth-like. However, despite the immediate attractiveness, we argue that this kind of approach makes more and more difficult to understand which physical parameters are really relevant to describe the features of the seismic catalog at which we are interested. For this reason, here we take an opposite minimal approach and analyze the behavior of a purposely simple earthquake simulator applied to a set of California faults. The idea is that a simple model may be more informative than a complex one for some specific scientific objectives, because it is more understandable. The model has three main components: the first one is a realistic tectonic setting, i.e., a fault dataset of California; the other two components are quantitative laws for earthquake generation on each single fault, and the Coulomb Failure Function for modeling fault interaction. The final goal of this work is twofold. On one hand, we aim to identify the minimum set of physical ingredients that can satisfactorily reproduce the features of the real seismic catalog, such as short-term seismic cluster, and to investigate on the hypothetical long-term behavior, and faults synchronization. On the other hand, we want to investigate the limits of predictability of the model itself.

  4. Treatment of cyanide containing wastewater using cavitation based approach.

    Science.gov (United States)

    Jawale, Rajashree H; Gogate, Parag R; Pandit, Aniruddha B

    2014-07-01

    Industrial wastewater streams containing high concentrations of biorefractory materials like cyanides should ideally be treated at source. In the present work, degradation of potassium ferrocyanide (K4Fe(CN)6) as a model pollutant has been investigated using cavitational reactors with possible intensification studies using different approaches. Effect of different operating parameters such as initial concentration, temperature and pH on the extent of degradation using acoustic cavitation has been investigated. For the case of hydrodynamic cavitation, flow characteristics of cavitating device (venturi) have been established initially followed by the effect of inlet pressure and pH on the extent of degradation. Under the optimized set of operating parameters, the addition of hydrogen peroxide (ratio of K4Fe(CN)6:H2O2 varied from 1:1 to 1:30 mol basis) as process intensifying approach has been investigated. The present work has conclusively established that under the set of optimized operating parameters, cavitation can be effectively used for degradation of potassium ferrocyanide. The comparative study of hydrodynamic cavitation and acoustic cavitation suggested that hydrodynamic cavitation is more energy efficient and gives higher degradation as compared to acoustic cavitation for equivalent power/energy dissipation. The present work is the first one to report comparison of cavitation based treatment schemes for degradation of cyanide containing wastewaters. Copyright © 2014 Elsevier B.V. All rights reserved.

  5. A MEMS Based Stencil Lithography Approach to Nanomanufacturing

    Science.gov (United States)

    Barrett, Lawrence; Stark, Thomas; Reeves, Jeremy; Lally, Richard; Bishop, David

    We have developed a microelectromechanical systems (MEMS) based approach to nanomanufacturing called atomic calligraphy. Comb drive actuators position a stencil with sub-nanometer precision and material is deposited through the stencil on to a substrate. The MEMS device is aligned to the substrate using piezoelectric stages and capacitive and resistive measurements. Using the piezo stages in conjunction with the comb drive actuators, increases the writing range from the range of the comb drive actuators ( 10 μm) to the range of the piezo stages (5 cm) without sacrificing resolution. Among the advantages of this method is its scalability. Thousands of MEMS devices can be used to write structures in parallel, and if the stencil on each device contains an array of structures, 106 to 108 structures can be fabricated in parallel. Because there is no wet processing, this technique can be used to fabricate structures on a wide range of materials including many polymers. Arrays of optical metamaterials have been fabricated with this approach and characterized both with scanning electron microscopy (SEM) and optical techniques. This work is funded by the DARPA A2P Program.

  6. Selection of Construction Methods: A Knowledge-Based Approach

    Directory of Open Access Journals (Sweden)

    Ximena Ferrada

    2013-01-01

    Full Text Available The appropriate selection of construction methods to be used during the execution of a construction project is a major determinant of high productivity, but sometimes this selection process is performed without the care and the systematic approach that it deserves, bringing negative consequences. This paper proposes a knowledge management approach that will enable the intelligent use of corporate experience and information and help to improve the selection of construction methods for a project. Then a knowledge-based system to support this decision-making process is proposed and described. To define and design the system, semistructured interviews were conducted within three construction companies with the purpose of studying the way that the method’ selection process is carried out in practice and the knowledge associated with it. A prototype of a Construction Methods Knowledge System (CMKS was developed and then validated with construction industry professionals. As a conclusion, the CMKS was perceived as a valuable tool for construction methods’ selection, by helping companies to generate a corporate memory on this issue, reducing the reliance on individual knowledge and also the subjectivity of the decision-making process. The described benefits as provided by the system favor a better performance of construction projects.

  7. PARTICLE FILTER BASED VEHICLE TRACKING APPROACH WITH IMPROVED RESAMPLING STAGE

    Directory of Open Access Journals (Sweden)

    Wei Leong Khong

    2014-02-01

    Full Text Available Optical sensors based vehicle tracking can be widely implemented in traffic surveillance and flow control. The vast development of video surveillance infrastructure in recent years has drawn the current research focus towards vehicle tracking using high-end and low cost optical sensors. However, tracking vehicles via such sensors could be challenging due to the high probability of changing vehicle appearance and illumination, besides the occlusion and overlapping incidents. Particle filter has been proven as an approach which can overcome nonlinear and non-Gaussian situations caused by cluttered background and occlusion incidents. Unfortunately, conventional particle filter approach encounters particle degeneracy especially during and after the occlusion. Particle filter with sampling important resampling (SIR is an important step to overcome the drawback of particle filter, but SIR faced the problem of sample impoverishment when heavy particles are statistically selected many times. In this work, genetic algorithm has been proposed to be implemented in the particle filter resampling stage, where the estimated position can converge faster to hit the real position of target vehicle under various occlusion incidents. The experimental results show that the improved particle filter with genetic algorithm resampling method manages to increase the tracking accuracy and meanwhile reduce the particle sample size in the resampling stage.

  8. A New Sustainability City Index Based on Intellectual Capital Approach

    Directory of Open Access Journals (Sweden)

    José-Luis Alfaro-Navarro

    2017-05-01

    Full Text Available Urban sustainability is a key factor that must be considered at the local level, however, there are few studies that consider sustainability using the triple bottom line approach and apply it to a large number of cities. In this paper, we develop a sustainability city index based on the triple bottom line using an intellectual capital approach that attempts to solve the negative aspects identified in the main indices proposed in the existing literature, such as the use of: subjective weightings, an arithmetic average or index that is not comparable. Here, we have used information available in the Urban Audit database for 2009. The results for 158 cities in 24 European countries show that the cities with the best positions are in the northern European countries. German cities occupied the best positions in the three dimensions of sustainability, albeit with a slightly worse performance in the social dimension. Moreover, the proposal index is consistent, without redundancy among the variables considered in the three dimensions.

  9. An efficient approach for reliability-based topology optimization

    Science.gov (United States)

    Kanakasabai, Pugazhendhi; Dhingra, Anoop K.

    2016-01-01

    This article presents an efficient approach for reliability-based topology optimization (RBTO) in which the computational effort involved in solving the RBTO problem is equivalent to that of solving a deterministic topology optimization (DTO) problem. The methodology presented is built upon the bidirectional evolutionary structural optimization (BESO) method used for solving the deterministic optimization problem. The proposed method is suitable for linear elastic problems with independent and normally distributed loads, subjected to deflection and reliability constraints. The linear relationship between the deflection and stiffness matrices along with the principle of superposition are exploited to handle reliability constraints to develop an efficient algorithm for solving RBTO problems. Four example problems with various random variables and single or multiple applied loads are presented to demonstrate the applicability of the proposed approach in solving RBTO problems. The major contribution of this article comes from the improved efficiency of the proposed algorithm when measured in terms of the computational effort involved in the finite element analysis runs required to compute the optimum solution. For the examples presented with a single applied load, it is shown that the CPU time required in computing the optimum solution for the RBTO problem is 15-30% less than the time required to solve the DTO problems. The improved computational efficiency allows for incorporation of reliability considerations in topology optimization without an increase in the computational time needed to solve the DTO problem.

  10. Family-Based Approaches to Cardiovascular Health Promotion.

    Science.gov (United States)

    Vedanthan, Rajesh; Bansilal, Sameer; Soto, Ana Victoria; Kovacic, Jason C; Latina, Jacqueline; Jaslow, Risa; Santana, Maribel; Gorga, Elio; Kasarskis, Andrew; Hajjar, Roger; Schadt, Eric E; Björkegren, Johan L; Fayad, Zahi A; Fuster, Valentin

    2016-04-12

    Cardiovascular disease is the leading cause of mortality in the world, and the increasing burden is largely a consequence of modifiable behavioral risk factors that interact with genomics and the environment. Continuous cardiovascular health promotion and disease prevention throughout the lifespan is critical, and the family is a central entity in this process. In this review, we describe the potential rationale and mechanisms that contribute to the importance of family for cardiovascular health promotion, focusing on: 1) mutual interdependence of the family system; 2) shared environment; 3) parenting style; 4) caregiver perceptions; and 5) genomics. We conclude that family-based approaches that target both caregivers and children, encourage communication among the family unit, and address the structural and environmental conditions in which families live and operate are likely to be the most effective approach to promote cardiovascular health. We describe lessons learned, future implications, and applications to ongoing and planned studies. Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  11. An implicit shape model based approach to identify armed persons

    Science.gov (United States)

    Becker, Stefan; Jüngling, Kai

    2011-06-01

    In addition to detecting and tracking persons via video surveillance in public spaces like airports and train stations, another important aspect of a situation analysis is the appearance of objects in the periphery of a person. Not only from a military perspective, in certain environments, an unidentified armed person can be an indicator for a potential threat. In order to become aware of an unidentified armed person and to initiate counteractive measures, the ability to identify persons carrying weapons is needed. In this paper we present a classification approach, which fits into an Implicit Shape Model (ISM) based person detection and is capable to differentiate between unarmed persons and persons in an aiming body posture. The approach relies on SIFT features and thus is completely independent of sensor-specific features which might only be perceivable in the visible spectrum. For person representation and detection, a generalized appearance codebook is used. Compared to a stand-alone person detection strategy with ISM, an additional training step is introduced that allows interpretation of a person hypothesis delivered by the ISM. During training, the codebook activations and positions of participated features are stored for the desired classes, in this case, persons in an aiming posture and unarmed persons. With the stored information, one is able to calculate weight factors for every feature participating in a person hypothesis in order to derive a specific classification model. The introduced model is validated using an infrared dataset which shows persons in aiming and non-aiming body postures from different angles.

  12. Texture-based approach to palmprint retrieval for personal identification

    Science.gov (United States)

    Li, Wenxin; Zhang, David; Xu, Z.; You, J.

    2001-01-01

    This paper presents a new approach to palmprint retrieval for personal identification. Three key issues in image retrieval are considered - feature selection, similarity measures and dynamic search for the best matching of the sample in the image database. We propose a texture-based method for palmprint feature representation. The concept of texture energy is introduced to define a palm print's global and local features, which are characterized with high convergence of inner-palm similarities and good dispersion of inter-palm discrimination. The search is carried out in a layered fashion: first global features are used to guide the fast selection of a small set of similar candidates from the database from the database and then local features are used to decide the final output within the candidate set. The experimental results demonstrate the effectiveness and accuracy of the proposed method.

  13. Heuristic Based Approach for Voltage Stability Improvement using FACTS Devices

    Directory of Open Access Journals (Sweden)

    Hajer Jmii

    2017-12-01

    Full Text Available The aim of this paper is to develop a hybrid device for voltage stability enhancement using two kinds of FACTS (Flexible AC Transmission System namely SVC (Static Var Compensator and TCSC (Thyristor Controlled Series Capacitor. The idea behind the proposed method is to maintain safe and satisfactory power system operation in a lesser costing manner by taking advantage of the performances of SVC and TCSC at the same time. We propose to evaluate the efficacy of the combined device to UPFC, as it is a hybrid FACTS and it is the most versatile compensator. For purpose of identifying the placement of the devices, we opt for a heuristic based approach. The methodology is tested with the IEEE 14-Bus system using the software EUROSTAG, and the simulation results reveal the efficiency of the proposed method for enhancing voltage stability.

  14. Advances in Piezoelectric Systems: An Application-Based Approach

    DEFF Research Database (Denmark)

    Zsurzsan, Tiberiu-Gabriel

    Piezoelectricity is a fascinating research topic with wide-branching applications due to the unique property of bidirectional energy transfer. Piezoceramics can be used as both actuators and sensors without imposing any constraints on their supporting circuitry. This property, coupled with their ......Piezoelectricity is a fascinating research topic with wide-branching applications due to the unique property of bidirectional energy transfer. Piezoceramics can be used as both actuators and sensors without imposing any constraints on their supporting circuitry. This property, coupled....... These three distinct behaviors encountered in any piezoelectric device represents the ba- sis of discussion in the thesis. Therefore the present PhD dissertation is an application-based approach to researching all three behaviors individually, while nding solutions to the challenges encountered along the way...

  15. A Task-Based Language Teaching Approach in Teaching Esp

    Directory of Open Access Journals (Sweden)

    Regina Motuziene

    2013-08-01

    Full Text Available In the article the general overview of the popularity of EFL for university and college students in Lithuania is discussed paying attention to the peculiarities of teaching and learning English for Specific Purposes (ESP at Klaipeda State College and also the strategies of enhancing the communicative competence or ability to communicate both spoken or written language and developing four language skills. The article deals with EFL status in the present labour market in Lithuania as well as the problems the English language teachers and students face and gives the reasons for the need of applying task-based language teaching (TBLT approach used in teaching ESP for students of higher educational institutions.

  16. Meckel-Gruber Syndrome: Autopsy Based Approach to Diagnosis

    Directory of Open Access Journals (Sweden)

    Asaranti Kar

    2016-01-01

    Full Text Available Meckel-Gruber syndrome (MGS is a rare lethal congenital malformation affecting 1 in 13,250-140,000 live births. The classical diagnostic triad comprises multicystic dysplastic kidneys, occipital encephalocele, and postaxial polydactyly. It can variably be associated with other malformations such as cleft lip and palate, pulmonary hypoplasia, hepatic fibrosis, and anomalies of central nervous system. A 20 weeks fetus was diagnosed as MGS with classical features along with many other congenital abnormalities such as microcephaly, microphthalmia, hypertelorism, cleft lip and palate, neonatal teeth, and the right side club foot which were detected only after doing autopsy. This case is reported because of its rarity emphasizing the importance of neonatal autopsy in every case of fetal death, especially where the antenatal diagnosis has not been made previously. A systematic approach to accurate diagnosis of MGS based on autopsy will be described here which can allow recurrence risk counseling and proper management in future pregnancies.

  17. An approach for activity-based DEVS model specification

    DEFF Research Database (Denmark)

    Alshareef, Abdurrahman; Sarjoughian, Hessam S.; Zarrin, Bahram

    2016-01-01

    activity-based behavior modeling of parallel DEVS atomic models. We consider UML activities and actions as fundamental units of behavior modeling, especially in the presence of recent advances in the UML 2.5 specifications. We describe in detail how to approach activity modeling with a set of elemental...... and their corresponding software specifications from both structural and behavioral aspects. Unlike structural modeling, developing models to specify behavior of systems is known to be harder and more complex, particularly when operations with non-trivial control schemes are required. In this paper, we propose specifying...... behavioral constructs for atomic DEVS model. We show how Activity models correspond to the atomic DEVS model using an exemplar. We also highlight the complementary roles of Activity and Statecharts models....

  18. Introduction to supercritical fluids a spreadsheet-based approach

    CERN Document Server

    Smith, Richard; Peters, Cor

    2013-01-01

    This text provides an introduction to supercritical fluids with easy-to-use Excel spreadsheets suitable for both specialized-discipline (chemistry or chemical engineering student) and mixed-discipline (engineering/economic student) classes. Each chapter contains worked examples, tip boxes and end-of-the-chapter problems and projects. Part I covers web-based chemical information resources, applications and simplified theory presented in a way that allows students of all disciplines to delve into the properties of supercritical fluids and to design energy, extraction and materials formation systems for real-world processes that use supercritical water or supercritical carbon dioxide. Part II takes a practical approach and addresses the thermodynamic framework, equations of state, fluid phase equilibria, heat and mass transfer, chemical equilibria and reaction kinetics of supercritical fluids. Spreadsheets are arranged as Visual Basic for Applications (VBA) functions and macros that are completely (source code) ...

  19. Microfluidics-Based Approaches to the Isolation of African Trypanosomes.

    Science.gov (United States)

    Barrett, Michael P; Cooper, Jonathan M; Regnault, Clément; Holm, Stefan H; Beech, Jason P; Tegenfeldt, Jonas O; Hochstetter, Axel

    2017-10-05

    African trypanosomes are responsible for significant levels of disease in both humans and animals. The protozoan parasites are free-living flagellates, usually transmitted by arthropod vectors, including the tsetse fly. In the mammalian host they live in the bloodstream and, in the case of human-infectious species, later invade the central nervous system. Diagnosis of the disease requires the positive identification of parasites in the bloodstream. This can be particularly challenging where parasite numbers are low, as is often the case in peripheral blood. Enriching parasites from body fluids is an important part of the diagnostic pathway. As more is learned about the physicochemical properties of trypanosomes, this information can be exploited through use of different microfluidic-based approaches to isolate the parasites from blood or other fluids. Here, we discuss recent advances in the use of microfluidics to separate trypanosomes from blood and to isolate single trypanosomes for analyses including drug screening.

  20. Microfluidics-Based Approaches to the Isolation of African Trypanosomes

    Directory of Open Access Journals (Sweden)

    Michael P. Barrett

    2017-10-01

    Full Text Available African trypanosomes are responsible for significant levels of disease in both humans and animals. The protozoan parasites are free-living flagellates, usually transmitted by arthropod vectors, including the tsetse fly. In the mammalian host they live in the bloodstream and, in the case of human-infectious species, later invade the central nervous system. Diagnosis of the disease requires the positive identification of parasites in the bloodstream. This can be particularly challenging where parasite numbers are low, as is often the case in peripheral blood. Enriching parasites from body fluids is an important part of the diagnostic pathway. As more is learned about the physicochemical properties of trypanosomes, this information can be exploited through use of different microfluidic-based approaches to isolate the parasites from blood or other fluids. Here, we discuss recent advances in the use of microfluidics to separate trypanosomes from blood and to isolate single trypanosomes for analyses including drug screening.

  1. Applying a Problem Based Learning Approach to Land Management Education

    DEFF Research Database (Denmark)

    Enemark, Stig

    Land management covers a wide range activities associated with the management of land and natural resources that are required to fulfil political objectives and achieve sustainable development. This paper presents an overall understanding of the land management paradigm and the benefits of good l...... are presented using the surveying programme at Aalborg University as an example. This paper is work in progress and draws from previous research. The paper supports the lecture on Problem Based Learning given at NUST 3 March 2016.......-world context. The combination of different disciplines can be taught through a “learning-by-doing approach”. Problem solving skills can be taught through a project-oriented approach to surveying education with a focus on developing skills for “learning to learn”. The basic principles of this educational model...

  2. A trait-based approach for examining microbial community assembly

    Science.gov (United States)

    Prest, T. L.; Nemergut, D.

    2015-12-01

    Microorganisms regulate all of Earth's major biogeochemical cycles and an understanding of how microbial communities assemble is a key part in evaluating controls over many types of ecosystem processes. Rapid advances in technology and bioinformatics have led to a better appreciation for the variation in microbial community structure in time and space. Yet, advances in theory are necessary to make sense of these data and allow us to generate unifying hypotheses about the causes and consequences of patterns in microbial biodiversity and what they mean for ecosystem function. Here, I will present a metaanalysis of microbial community assembly from a variety of successional and post-disturbance systems. Our analysis shows various distinct patterns in community assembly, and the potential importance of nutrients and dispersal in shaping microbial community beta diversity in these systems. We also used a trait-based approach to generate hypotheses about the mechanisms driving patterns of microbial community assembly and the implications for function. Our work reveals the importance of rRNA operon copy number as a community aggregated trait in helping to reconcile differences in community dynamics between distinct types of successional and disturbed systems. Specifically, our results demonstrate that decreases in average copy number can be a common feature of communities across various drivers of ecological succession, supporting a transition from an r-selected to a K-selected community. Importantly, our work supports the scaling of the copy number trait over multiple levels of biological organization, from cells to populations and communities, and has implications for both ecology and evolution. Trait-based approaches are an important next step to generate and test hypotheses about the forces structuring microbial communities and the subsequent consequences for ecosystem function.

  3. GEOSS authentication/authorization services: a Broker-based approach

    Science.gov (United States)

    Santoro, M.; Nativi, S.

    2014-12-01

    The vision of the Global Earth Observation System of Systems (GEOSS) is the achievement of societal benefits through voluntary contribution and sharing of resources to better understand the relationships between the society and the environment where we live. The GEOSS Common Infrastructure (GCI) allows users to search, access, and use the resources contributed by the GEOSS members. The GEO DAB (Discovery and Access Broker) is the GCI component in charge of interconnecting the heterogeneous data systems contributing to GEOSS. Client applications (i.e. the portals and apps) can connect to GEO DAB as a unique entry point to discover and access resources available through GCI, with no need to implement the many service protocols and models applied by the GEOSS data providers. The GEO DAB implements the brokering approach (Nativi et al., 2013) to build a flexible and scalable System of Systems. User authentication/authorization functionality is becoming more and more important for GEOSS data providers and users. The Providers ask for information about who accessed their resources and, in some cases, want to limit the data download. The Users ask for a profiled interaction with the system based on their needs and expertise level. Besides, authentication and authorization is necessary for GEOSS to provide moderated social services - e.g. feedback messages, data "fit for use" comments, etc. In keeping with the GEOSS principles of building on existing systems and lowering entry-barriers for users, an objective of the authentication/authorization development was to support existing and well-used users' credentials (e.g. Google, Twitter, etc.). Due to the heterogeneity of technologies used by the different providers and applications, a broker-based approach for the authentication/authorization was introduced as a new functionality of GEO DAB. This new capability will be demonstrated at the next GEO XI Plenary (November 2014). This work will be presented and discussed

  4. Stochastic Turing Patterns: Analysis of Compartment-Based Approaches

    KAUST Repository

    Cao, Yang

    2014-11-25

    © 2014, Society for Mathematical Biology. Turing patterns can be observed in reaction-diffusion systems where chemical species have different diffusion constants. In recent years, several studies investigated the effects of noise on Turing patterns and showed that the parameter regimes, for which stochastic Turing patterns are observed, can be larger than the parameter regimes predicted by deterministic models, which are written in terms of partial differential equations (PDEs) for species concentrations. A common stochastic reaction-diffusion approach is written in terms of compartment-based (lattice-based) models, where the domain of interest is divided into artificial compartments and the number of molecules in each compartment is simulated. In this paper, the dependence of stochastic Turing patterns on the compartment size is investigated. It has previously been shown (for relatively simpler systems) that a modeler should not choose compartment sizes which are too small or too large, and that the optimal compartment size depends on the diffusion constant. Taking these results into account, we propose and study a compartment-based model of Turing patterns where each chemical species is described using a different set of compartments. It is shown that the parameter regions where spatial patterns form are different from the regions obtained by classical deterministic PDE-based models, but they are also different from the results obtained for the stochastic reaction-diffusion models which use a single set of compartments for all chemical species. In particular, it is argued that some previously reported results on the effect of noise on Turing patterns in biological systems need to be reinterpreted.

  5. Problem-Oriented Corporate Knowledge Base Models on the Case-Based Reasoning Approach Basis

    Science.gov (United States)

    Gluhih, I. N.; Akhmadulin, R. K.

    2017-07-01

    One of the urgent directions of efficiency enhancement of production processes and enterprises activities management is creation and use of corporate knowledge bases. The article suggests a concept of problem-oriented corporate knowledge bases (PO CKB), in which knowledge is arranged around possible problem situations and represents a tool for making and implementing decisions in such situations. For knowledge representation in PO CKB a case-based reasoning approach is encouraged to use. Under this approach, the content of a case as a knowledge base component has been defined; based on the situation tree a PO CKB knowledge model has been developed, in which the knowledge about typical situations as well as specific examples of situations and solutions have been represented. A generalized problem-oriented corporate knowledge base structural chart and possible modes of its operation have been suggested. The obtained models allow creating and using corporate knowledge bases for support of decision making and implementing, training, staff skill upgrading and analysis of the decisions taken. The universal interpretation of terms “situation” and “solution” adopted in the work allows using the suggested models to develop problem-oriented corporate knowledge bases in different subject domains. It has been suggested to use the developed models for making corporate knowledge bases of the enterprises that operate engineer systems and networks at large production facilities.

  6. Distance matrix-based approach to protein structure prediction.

    Science.gov (United States)

    Kloczkowski, Andrzej; Jernigan, Robert L; Wu, Zhijun; Song, Guang; Yang, Lei; Kolinski, Andrzej; Pokarowski, Piotr

    2009-03-01

    Much structural information is encoded in the internal distances; a distance matrix-based approach can be used to predict protein structure and dynamics, and for structural refinement. Our approach is based on the square distance matrix D = [r(ij)(2)] containing all square distances between residues in proteins. This distance matrix contains more information than the contact matrix C, that has elements of either 0 or 1 depending on whether the distance r (ij) is greater or less than a cutoff value r (cutoff). We have performed spectral decomposition of the distance matrices D = sigma lambda(k)V(k)V(kT), in terms of eigenvalues lambda kappa and the corresponding eigenvectors v kappa and found that it contains at most five nonzero terms. A dominant eigenvector is proportional to r (2)--the square distance of points from the center of mass, with the next three being the principal components of the system of points. By predicting r (2) from the sequence we can approximate a distance matrix of a protein with an expected RMSD value of about 7.3 A, and by combining it with the prediction of the first principal component we can improve this approximation to 4.0 A. We can also explain the role of hydrophobic interactions for the protein structure, because r is highly correlated with the hydrophobic profile of the sequence. Moreover, r is highly correlated with several sequence profiles which are useful in protein structure prediction, such as contact number, the residue-wise contact order (RWCO) or mean square fluctuations (i.e. crystallographic temperature factors). We have also shown that the next three components are related to spatial directionality of the secondary structure elements, and they may be also predicted from the sequence, improving overall structure prediction. We have also shown that the large number of available HIV-1 protease structures provides a remarkable sampling of conformations, which can be viewed as direct structural information about the

  7. SSVEP-based BCI: A "Plug & play" approach.

    Science.gov (United States)

    Mora, Niccoló; De Munari, Ilaria; Ciampolini, Paolo

    2015-01-01

    Brain-Computer Interface (BCI) can provide users with an alternative/augmentative interaction path, based on the interpretation of their brain activity. Steady State Visual Evoked Potentials (SSVEP) paradigm has many appealing features, aiming at implementing BCI-enabled communication-control applications. In this paper, we present a complete signal processing chain for a self-paced, SSVEP-based BCI. The proposed approach mostly focuses at reducing the user effort in dealing with BCI, featuring no need of user-specific calibration or training. In this paper, the classification algorithm is introduced and first validated on offline waveforms, aiming at improving classification accuracy and minimizing the false positive rate. Then, implementation of an online, self-paced SSVEP BCI is illustrated. The scheme refers to a four-way choice and exploits discrimination between intentional control states and nocontrol ones. Good performance is achieved, both in terms of true positive rate (>94%), as well as low false positive rate (0.26 min(-1)), even in experiments carried out outside lab-controlled conditions.

  8. Human rights-based approach to tobacco control.

    Science.gov (United States)

    Dresler, Carolyn; Lando, Harry; Schneider, Nick; Sehgal, Hitakshi

    2012-03-01

    The Framework Convention for Tobacco Control (FCTC) is currently the most potent tool for implementation of tobacco control laws across the globe. The FCTC is derivative from previously constructed international human rights conventions. These previous conventions have enforcement mechanisms, unlike the FCTC. However, the FCTC relies on state parties to report periodically on its implementation rather than on a continuous monitoring system. The Human Rights and Tobacco Control Network proposes that abiding by the principles of human rights delineated by international treaties, citizens across the globe can demand effective action for tobacco control. This paper explains the link between fundamental human rights and the right to tobacco control. Mechanisms are described to link the FCTC and its principles with human rights-based monitoring reports, which are provided to oversight committees for the other human rights conventions. The initial work of the Human Rights and Tobacco Control Network is summarised and considers the future directions for the human rights-based approach to tobacco control.

  9. Service quality measurement. A new approach based on Conjoint Analysis

    Directory of Open Access Journals (Sweden)

    Valerio Gatta

    2013-03-01

    Full Text Available This article is concerned with the measurement of service quality. The main objective is to suggest an alternative criterion for service quality definition and measurement. After a brief description of the most traditional techniques and with the intent to overcome some critical factors pertaining them, I focus my attention on the choice-based conjoint analysis, a particular stated preferences method that estimates the structure of consumers’ preferences given their choices between alternative service options. Discrete choice models and the traditional compensatory utility maximization framework are extended by the inclusion of the attribute cutoffs into the decision problem formulation. The major theoretical aspects of the described approach are examined and discussed, showing that it is able to identify the relative importance of the relevant attributes, calculating elasticity and monetary evaluation, and to determine a service quality index. Then simulations enable the identification of potential service quality levels, so that marketing managers have valuable information to plan their best business strategies. We present findings from an empirical study in the public transport sector designed to gain insights into the use of the choice-based conjoint analysis.

  10. A Cooperative Approach to Virtual Machine Based Fault Injection

    Energy Technology Data Exchange (ETDEWEB)

    Naughton III, Thomas J [ORNL; Engelmann, Christian [ORNL; Vallee, Geoffroy R [ORNL; Aderholdt, William Ferrol [ORNL; Scott, Stephen L [Tennessee Technological University (TTU)

    2017-01-01

    Resilience investigations often employ fault injection (FI) tools to study the effects of simulated errors on a target system. It is important to keep the target system under test (SUT) isolated from the controlling environment in order to maintain control of the experiement. Virtual machines (VMs) have been used to aid these investigations due to the strong isolation properties of system-level virtualization. A key challenge in fault injection tools is to gain proper insight and context about the SUT. In VM-based FI tools, this challenge of target con- text is increased due to the separation between host and guest (VM). We discuss an approach to VM-based FI that leverages virtual machine introspection (VMI) methods to gain insight into the target s context running within the VM. The key to this environment is the ability to provide basic information to the FI system that can be used to create a map of the target environment. We describe a proof- of-concept implementation and a demonstration of its use to introduce simulated soft errors into an iterative solver benchmark running in user-space of a guest VM.

  11. Fuzzy MADM Approach for Rating of Process-Based Fraud

    Directory of Open Access Journals (Sweden)

    Solichul Huda

    2016-02-01

    Full Text Available Process-Based Fraud (PBF is fraud enabled by process deviations that occur in business processes. Several studies have proposed PBF detection methods; however, false decisions are still often made because of cases with low deviation. Low deviation is caused by ambiguity in determining fraud attribute values and low frequency of occurrence. This paper proposes a method of detecting PBF with low deviation in order to correctly detect fraudulent cases. Firstly, the fraudulence attributes are established, then a fuzzy approach is utilized to weigh the importance of the fraud attributes. Further, multi-attribute decision making (MADM is employed to obtain a PBF rating according to attribute values and attribute importance weights. Finally, a decision is made whether the deviation is fraudulent or not, based on the PBF rating. Experimental validation showed that the accuracy and false discovery rate of the method were 0.92 and 0.33, respectively.

  12. A Wavelet-Based Approach to Fall Detection

    Directory of Open Access Journals (Sweden)

    Luca Palmerini

    2015-05-01

    Full Text Available Falls among older people are a widely documented public health problem. Automatic fall detection has recently gained huge importance because it could allow for the immediate communication of falls to medical assistance. The aim of this work is to present a novel wavelet-based approach to fall detection, focusing on the impact phase and using a dataset of real-world falls. Since recorded falls result in a non-stationary signal, a wavelet transform was chosen to examine fall patterns. The idea is to consider the average fall pattern as the “prototype fall”.In order to detect falls, every acceleration signal can be compared to this prototype through wavelet analysis. The similarity of the recorded signal with the prototype fall is a feature that can be used in order to determine the difference between falls and daily activities. The discriminative ability of this feature is evaluated on real-world data. It outperforms other features that are commonly used in fall detection studies, with an Area Under the Curve of 0.918. This result suggests that the proposed wavelet-based feature is promising and future studies could use this feature (in combination with others considering different fall phases in order to improve the performance of fall detection algorithms.

  13. An approach to effects-based modeling for wargaming

    Science.gov (United States)

    Mckeever, William E., Jr.; Gilmour, Duane A.; Hillman, Robert G.

    2004-08-01

    Effects-based operations (EBO) are proving to be a vital part of current concepts of operations in military missions and consequently need to be an integral part of current generation wargames. EBO focuses on the producing effects from military activities, as opposed to the direct result of attacking targets. Alternatively, the emphasis of conventional wargames is focused on attrition-based modeling and is incapable of assessing effects and their contribution to the overall mission objectives. For wargames to be effective, they must allow users to evaluate multiple ways to accomplish the same goal with a combination of direct, indirect and cascading events (actions). The focus of this paper is to describe the development of a methodology for the implementation of EBO concepts into modern wargames. The design approach was to develop a generic methodology and demonstrate how simulation objects can incorporate EBO capabilities. The authors will illustrate the application of the methodology utilizing an EBO scenario example, which was developed to test the system.

  14. A Model-Based Approach to Constructing Music Similarity Functions

    Directory of Open Access Journals (Sweden)

    Lamere Paul

    2007-01-01

    Full Text Available Several authors have presented systems that estimate the audio similarity of two pieces of music through the calculation of a distance metric, such as the Euclidean distance, between spectral features calculated from the audio, related to the timbre or pitch of the signal. These features can be augmented with other, temporally or rhythmically based features such as zero-crossing rates, beat histograms, or fluctuation patterns to form a more well-rounded music similarity function. It is our contention that perceptual or cultural labels, such as the genre, style, or emotion of the music, are also very important features in the perception of music. These labels help to define complex regions of similarity within the available feature spaces. We demonstrate a machine-learning-based approach to the construction of a similarity metric, which uses this contextual information to project the calculated features into an intermediate space where a music similarity function that incorporates some of the cultural information may be calculated.

  15. UNTANGLING THE FUNGAL NICHE: A TRAIT-BASED APPROACH

    Directory of Open Access Journals (Sweden)

    Thomas W Crowther

    2014-10-01

    Full Text Available Fungi are prominent components of most terrestrial ecosystems, both in terms of biomass and ecosystem functioning, but the hyper-diverse nature of most communities has obscured the search for unifying principles governing community organization. In particular, unlike plants and animals, observational studies provide little evidence for the existence of niche processes in structuring fungal communities at broad spatial scales. This limits our capacity to predict how communities, and their functioning, vary across landscapes. We outline how a shift in focus, from taxonomy towards functional traits, might prove to be valuable in the search for general patterns in fungal ecology. We build on theoretical advances in plant and animal ecology to provide an empirical framework for a trait-based approach in fungal community ecology. Drawing upon specific characteristics of the fungal system, we highlight the significance of drought stress and combat in structuring free-living fungal communities. We propose a conceptual model to formalize how trade-offs between stress-tolerance and combative dominance are likely to organize communities across environmental gradients. Given that the survival of a fungus in a given environment is contingent on its ability to tolerate antagonistic competitors, measuring variation in combat trait expression along environmental gradients provides a means of elucidating realized, from fundamental niche spaces. We conclude that, using a trait-based understanding of how niche processes structure fungal communities across time and space, we can ultimately link communities with ecosystem functioning. Our trait-based framework highlights fundamental uncertainties that require testing in the fungal system, given their potential to uncover general mechanisms in fungal ecology.

  16. Global Crop Monitoring: A Satellite-Based Hierarchical Approach

    Directory of Open Access Journals (Sweden)

    Bingfang Wu

    2015-04-01

    Full Text Available Taking advantage of multiple new remote sensing data sources, especially from Chinese satellites, the CropWatch system has expanded the scope of its international analyses through the development of new indicators and an upgraded operational methodology. The approach adopts a hierarchical system covering four spatial levels of detail: global, regional, national (thirty-one key countries including China and “sub-countries” (for the nine largest countries. The thirty-one countries encompass more that 80% of both production and exports of maize, rice, soybean and wheat. The methodology resorts to climatic and remote sensing indicators at different scales. The global patterns of crop environmental growing conditions are first analyzed with indicators for rainfall, temperature, photosynthetically active radiation (PAR as well as potential biomass. At the regional scale, the indicators pay more attention to crops and include Vegetation Health Index (VHI, Vegetation Condition Index (VCI, Cropped Arable Land Fraction (CALF as well as Cropping Intensity (CI. Together, they characterize crop situation, farming intensity and stress. CropWatch carries out detailed crop condition analyses at the national scale with a comprehensive array of variables and indicators. The Normalized Difference Vegetation Index (NDVI, cropped areas and crop conditions are integrated to derive food production estimates. For the nine largest countries, CropWatch zooms into the sub-national units to acquire detailed information on crop condition and production by including new indicators (e.g., Crop type proportion. Based on trend analysis, CropWatch also issues crop production supply outlooks, covering both long-term variations and short-term dynamic changes in key food exporters and importers. The hierarchical approach adopted by CropWatch is the basis of the analyses of climatic and crop conditions assessments published in the quarterly “CropWatch bulletin” which

  17. A Value-based Approach to Unspelling Entrepreneurship

    Directory of Open Access Journals (Sweden)

    Baryshev Aleksey

    2016-01-01

    Full Text Available Entrepreneurship and the entrepreneur figure are social phenomena subjected to constant mutations. Extant definitions of entrepreneurship are always based on current characteristics of entrepreneur activity and, as a rule, absolutize them as essential. In the article main mystifications of entrepreneurship are analyzed due to the fact that it is attributed general properties of entrepreneurial activity in the way they are understood in a certain historical period. The paper suggests a way out of the succession of mystifications by rejecting the entrepreneurship definition in the frame of a subject-object interpretive scheme and the development of the entrepreneur activity concept as a kind of social activity. The social action theory and the theory of social objects fetishization are the methodological research foundation. The results of the research are the following. First, the interpretation of the entrepreneur and entrepreneurship on the basis of personal traits, functions and ways of the construction of the future are mystifications ascribing the monopoly on arising and developing human action characteristics in different historical periods to entrepreneurship. Second, the cause of mystifications is the transfer of the human action analysis according to the scheme «subject-process-object » to the research of entrepreneurship. Third, attempts to overcome mystifications while preserving the naturalistic approach result in the multiplication of entrepreneurial mystifications as the reflection of new arising general characteristics of human action. Fourth, a general approach to the definition of the entrepreneurial action as a kind of the social action, which has sense in the value production and is capable of everlasting enrichment with new modus of actions and created values, is suggested. Perspectives of further research include the investigation of synchronic and diachronic peculiarities of entrepreneurial action modus and produced values.

  18. A Percolation‐Based Approach to Scaling Infiltration and Evapotranspiration

    Directory of Open Access Journals (Sweden)

    Allen G. Hunt

    2017-02-01

    Full Text Available Optimal flow paths obtained from percolation theory provide a powerful tool that can be used to characterize properties associated with flow such as soil hydraulic conductivity, as well as other properties influenced by flow connectivity and topology. A recently proposed scaling theory for vegetation growth appeals to the tortuosity of optimal paths from percolation theory to define the spatio‐temporal scaling of the root radial extent (or, equivalently, plant height. Root radial extent measures the maximum horizontal distance between a plant shoot and the root tips. We apply here the same scaling relationship to unsteady (horizontal flow associated with plant transpiration. The pore‐scale travel time is generated from the maximum flow rate under saturated conditions and a typical pore size. At the field‐scale, the characteristic time is interpreted as the growing season duration, and the characteristic length is derived from the measured evapotranspiration in that period. We show that the two scaling results are equivalent, and they are each in accord with observed vegetation growth limits, as well as with actual limiting transpiration values. While the conceptual approach addresses transpiration, most accessed data are for evapotranspiration. The equivalence of the two scaling approaches suggests that, if horizontal flow is the dominant pathway in plant transpiration, horizontal unsteady flow follows the same scaling relationship as root growth. Then, we propose a corresponding scaling relationship to vertical infiltration, a hypothesis which is amenable to testing using infiltration results of Sharma and co‐authors. This alternate treatment of unsteady vertical flow may be an effective alternative to the commonly applied method based on the diffusion of water over a continuum as governed by Richards’ equation.

  19. A rights-based approach to indoor air pollution.

    Science.gov (United States)

    Lim, Jamie; Petersen, Stephen; Schwarz, Dan; Schwarz, Ryan; Maru, Duncan

    2013-12-12

    Household indoor air pollution from open-fire cookstoves remains a public health and environmental hazard which impacts negatively on people's right to health. Technologically improved cookstoves designed to reduce air pollution have demonstrated their efficacy in laboratory studies. Despite the tremendous need for such stoves, in the field they have often failed to be effective, with low rates of long-term adoption by users, mainly due to poor maintenance of the stoves. In poor, rural, isolated communities, there is unlikely to be a single behavioral or technological "fix" to this problem. In this paper, we suggest that improved cookstoves are an important health intervention to which people have a right, as they do to family planning, vaccination, and essential primary care medicines. Like these other necessary elements in the fulfillment of the right to health, access to clean indoor air should be incorporated into state health strategies, policies, and plans. State infrastructure and health systems should support public and private sector delivery of improved cookstove services, and ensure that such services reach all communities, even those that are poor, located remotely, and likely not to be served by the market. We suggest that community health workers could play a critical role in creating demand for, implementing facilitation and delivery of, and monitoring these cookstoves and related services. Through this approach, improved cookstoves could become an appealing, available, and sustainable option for the rural poor. In this paper, we adopt a human rights-based approach to overcome the problem of indoor air pollution, and we use Nepal as an example. Copyright © 2013 Lim, Petersen, Schwarz, Schwarz, Maru. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any

  20. MOST: most-similar ligand based approach to target prediction.

    Science.gov (United States)

    Huang, Tao; Mi, Hong; Lin, Cheng-Yuan; Zhao, Ling; Zhong, Linda L D; Liu, Feng-Bin; Zhang, Ge; Lu, Ai-Ping; Bian, Zhao-Xiang

    2017-03-11

    Many computational approaches have been used for target prediction, including machine learning, reverse docking, bioactivity spectra analysis, and chemical similarity searching. Recent studies have suggested that chemical similarity searching may be driven by the most-similar ligand. However, the extent of bioactivity of most-similar ligands has been oversimplified or even neglected in these studies, and this has impaired the prediction power. Here we propose the MOst-Similar ligand-based Target inference approach, namely MOST, which uses fingerprint similarity and explicit bioactivity of the most-similar ligands to predict targets of the query compound. Performance of MOST was evaluated by using combinations of different fingerprint schemes, machine learning methods, and bioactivity representations. In sevenfold cross-validation with a benchmark Ki dataset from CHEMBL release 19 containing 61,937 bioactivity data of 173 human targets, MOST achieved high average prediction accuracy (0.95 for pKi ≥ 5, and 0.87 for pKi ≥ 6). Morgan fingerprint was shown to be slightly better than FP2. Logistic Regression and Random Forest methods performed better than Naïve Bayes. In a temporal validation, the Ki dataset from CHEMBL19 were used to train models and predict the bioactivity of newly deposited ligands in CHEMBL20. MOST also performed well with high accuracy (0.90 for pKi ≥ 5, and 0.76 for pKi ≥ 6), when Logistic Regression and Morgan fingerprint were employed. Furthermore, the p values associated with explicit bioactivity were found be a robust index for removing false positive predictions. Implicit bioactivity did not offer this capability. Finally, p values generated with Logistic Regression, Morgan fingerprint and explicit activity were integrated with a false discovery rate (FDR) control procedure to reduce false positives in multiple-target prediction scenario, and the success of this strategy it was demonstrated with a case of fluanisone

  1. "Rights-based approaches": any new thing under the sun?

    OpenAIRE

    Gaay Fortman, B. de

    2000-01-01

    After infra-structure development, community development, integrated rural development, basic needs, structural adjustment, human development and sustainable development -not to speak of "sustainable human development"- a new "approach" is gaining ground: human rights. The Human Development Report 2000 of the United Nations Development Programme explores this approach while analysing how far its conventional human development approach and the new human rights approach are "harmonious enough" ...

  2. A model-based approach to selection of tag SNPs

    Directory of Open Access Journals (Sweden)

    Sun Fengzhu

    2006-06-01

    Full Text Available Abstract Background Single Nucleotide Polymorphisms (SNPs are the most common type of polymorphisms found in the human genome. Effective genetic association studies require the identification of sets of tag SNPs that capture as much haplotype information as possible. Tag SNP selection is analogous to the problem of data compression in information theory. According to Shannon's framework, the optimal tag set maximizes the entropy of the tag SNPs subject to constraints on the number of SNPs. This approach requires an appropriate probabilistic model. Compared to simple measures of Linkage Disequilibrium (LD, a good model of haplotype sequences can more accurately account for LD structure. It also provides a machinery for the prediction of tagged SNPs and thereby to assess the performances of tag sets through their ability to predict larger SNP sets. Results Here, we compute the description code-lengths of SNP data for an array of models and we develop tag SNP selection methods based on these models and the strategy of entropy maximization. Using data sets from the HapMap and ENCODE projects, we show that the hidden Markov model introduced by Li and Stephens outperforms the other models in several aspects: description code-length of SNP data, information content of tag sets, and prediction of tagged SNPs. This is the first use of this model in the context of tag SNP selection. Conclusion Our study provides strong evidence that the tag sets selected by our best method, based on Li and Stephens model, outperform those chosen by several existing methods. The results also suggest that information content evaluated with a good model is more sensitive for assessing the quality of a tagging set than the correct prediction rate of tagged SNPs. Besides, we show that haplotype phase uncertainty has an almost negligible impact on the ability of good tag sets to predict tagged SNPs. This justifies the selection of tag SNPs on the basis of haplotype

  3. Semantics based approach for analyzing disease-target associations.

    Science.gov (United States)

    Kaalia, Rama; Ghosh, Indira

    2016-08-01

    A complex disease is caused by heterogeneous biological interactions between genes and their products along with the influence of environmental factors. There have been many attempts for understanding the cause of these diseases using experimental, statistical and computational methods. In the present work the objective is to address the challenge of representation and integration of information from heterogeneous biomedical aspects of a complex disease using semantics based approach. Semantic web technology is used to design Disease Association Ontology (DAO-db) for representation and integration of disease associated information with diabetes as the case study. The functional associations of disease genes are integrated using RDF graphs of DAO-db. Three semantic web based scoring algorithms (PageRank, HITS (Hyperlink Induced Topic Search) and HITS with semantic weights) are used to score the gene nodes on the basis of their functional interactions in the graph. Disease Association Ontology for Diabetes (DAO-db) provides a standard ontology-driven platform for describing genes, proteins, pathways involved in diabetes and for integrating functional associations from various interaction levels (gene-disease, gene-pathway, gene-function, gene-cellular component and protein-protein interactions). An automatic instance loader module is also developed in present work that helps in adding instances to DAO-db on a large scale. Our ontology provides a framework for querying and analyzing the disease associated information in the form of RDF graphs. The above developed methodology is used to predict novel potential targets involved in diabetes disease from the long list of loose (statistically associated) gene-disease associations. Copyright © 2016 Elsevier Inc. All rights reserved.

  4. An improved approach for flow-based cloud point extraction.

    Science.gov (United States)

    Frizzarin, Rejane M; Rocha, Fábio R P

    2014-04-11

    Novel strategies are proposed to circumvent the main drawbacks of flow-based cloud point extraction (CPE). The surfactant-rich phase (SRP) was directly retained into the optical path of the spectrophotometric cell, thus avoiding its dilution previously to the measurement and yielding higher sensitivity. Solenoid micro-pumps were exploited to improve mixing by the pulsed flow and also to modulate the flow-rate for retention and removal of the SRP, thus avoiding the elution step, often carried out with organic solvents. The heat released and the increase of the salt concentration provided by an on-line neutralization reaction were exploited to induce the cloud point without an external heating device. These innovations were demonstrated by the spectrophotometric determination of iron, yielding a linear response from 10 to 200 μg L(-1) with a coefficient of variation of 2.3% (n=7). Detection limit and sampling rate were estimated at 5 μg L(-1) (95% confidence level) and 26 samples per hour, respectively. The enrichment factor was 8.9 and the procedure consumed only 6 μg of TAN and 390 μg of Triton X-114 per determination. At the 95% confidence level, the results obtained for freshwater samples agreed with the reference procedure and those obtained for digests of bovine muscle, rice flour, brown bread and tort lobster agreed with the certified reference values. The proposed procedure thus shows advantages in relation to previously proposed approaches for flow-based CPE, being a fast and environmental friendly alternative for on-line separation and pre-concentration. Copyright © 2014 Elsevier B.V. All rights reserved.

  5. A Rights-based Approach to Information in Humanitarian Assistance.

    Science.gov (United States)

    Scarnecchia, Daniel P; Raymond, Nathaniel A; Greenwood, Faine; Howarth, Caitlin; Poole, Danielle N

    2017-09-20

    Crisis-affected populations and humanitarian aid providers are both becoming increasingly reliant on information and communications technology (ICTs) for finding and provisioning aid. This is exposing critical, unaddressed gaps in the legal and ethical frameworks that traditionally defined and governed the professional conduct of humanitarian action. The most acute of these gaps is a lack of clarity about what human rights people have regarding information in disaster, and the corresponding obligations incumbent upon governments and aid providers.  This need is lent urgency by emerging evidence demonstrating that the use of these technologies in crisis response may be, in some cases, causing harm to the very populations they intend to serve.  Preventing and mitigating these harms, while also working to responsibly ensure access to the benefits of information during crises, requires a rights-based framework to guide humanitarian operations. In this brief report, we provide a commentary that accompanies our report, the Signal Code: A Human Rights Approach to Information During Crisis, where we have identified five rights pertaining to the use of information and data during crisis which are grounded in current international human rights and customary law. It is our belief that the continued relevance of the humanitarian project, as it grows increasingly dependent on the use of data and ICTs, urgently requires a discussion of these rights and corresponding obligations.

  6. Ice flood velocity calculating approach based on single view metrology

    Science.gov (United States)

    Wu, X.; Xu, L.

    2017-02-01

    Yellow River is the river in which the ice flood occurs most frequently in China, hence, the Ice flood forecasting has great significance for the river flood prevention work. In various ice flood forecast models, the flow velocity is one of the most important parameters. In spite of the great significance of the flow velocity, its acquisition heavily relies on manual observation or deriving from empirical formula. In recent years, with the high development of video surveillance technology and wireless transmission network, the Yellow River Conservancy Commission set up the ice situation monitoring system, in which live videos can be transmitted to the monitoring center through 3G mobile networks. In this paper, an approach to get the ice velocity based on single view metrology and motion tracking technique using monitoring videos as input data is proposed. First of all, River way can be approximated as a plane. On this condition, we analyze the geometry relevance between the object side and the image side. Besides, we present the principle to measure length in object side from image. Secondly, we use LK optical flow which support pyramid data to track the ice in motion. Combining the result of camera calibration and single view metrology, we propose a flow to calculate the real velocity of ice flood. At last we realize a prototype system by programming and use it to test the reliability and rationality of the whole solution.

  7. Intrathecal pain management: a team-based approach

    Science.gov (United States)

    Adler, Jeremy A; Lotz, Neona M

    2017-01-01

    Objective Physician assistants (PAs), nurse practitioners (NPs), and registered nurses (RNs) provide professional services on pain management teams. This review provides an overview of the practical management of chronic pain with intrathecal (IT) therapy using an interprofessional approach (eg, physicians and other health care professionals), with a focus on the contributions of PAs, NPs, and RNs. Methods Narrative review based on literature searches of the Medline database and treatment guidelines on the use of IT therapy in the management of patients with chronic pain. Results The specific roles and responsibilities of PAs, NPs, and RNs in the management of patients receiving IT therapy vary by practice. In many pain treatment centers, PAs, NPs, and RNs are responsible for patient education, postimplant maintenance, and ongoing supportive care of patients receiving IT therapy. Topics that we address include patient selection, patient expectations and goal setting, medication selection, outcome assessment, and treatment adjustment. Currently, morphine and ziconotide (a nonopioid, selective N-type calcium channel blocker) are the only agents approved by the US Food and Drug Administration for IT analgesia. We provide relevant information on the dosing, titration, and adverse effect management of these medications for PAs, NPs, and RNs responsible for administering IT therapy. Conclusion PAs, NPs, and RNs are valuable members of IT pain management teams. Treatment success requires ongoing monitoring of efficacy and adverse effects, with corresponding adjustments to medication selection and dosing, in addition to good communication among the health care professionals involved in patient care. PMID:29138593

  8. Designing Digital Preservation Solutions: A Risk Management-Based Approach

    Directory of Open Access Journals (Sweden)

    José Barateiro

    2010-07-01

    Full Text Available Digital preservation aims to keep digital objects accessible over long periods of time, ensuring the authenticity and integrity of these digital objects. In such complex environments, Risk Management is a key factor in assuring the normal behaviour of systems over time. Currently, the digital preservation arena commonly uses Risk Management concepts to assess repositories. In this paper, we intend to go further and propose a perspective where Risk Management can be used not only to assess existing solutions, but also to conceive digital preservation environments. Thus, we propose a Risk Management-based approach to design and assess digital preservation environments, including:• the definition of context and identification of strategic objectives to determine specific requirements and characterize which consequences are acceptable within the identified context;• the identification, analysis and evaluation of threats and vulnerabilities that may affect the normal behaviour of a specific business or the achievement of the goals and conformance to the requirements identified in the context characterization; and, • definition of actions to deal with the risks associated with the identified threats and vulnerabilities.We generalize and survey the main requirements, threats, vulnerabilities and techniques that can be applied in the scope of digital preservation.

  9. ICWorld: An MMOG-Based Approach to Analysis

    Directory of Open Access Journals (Sweden)

    Wyatt Wong

    2008-01-01

    Full Text Available Intelligence analysts routinely work with "wicked" problems—critical,time-sensitive problems where analytical errors can lead to catastrophic consequences for the nation's security. In the analyst's world, important decisions are often made quickly, and are made based on consuming, understanding, and piecing together enormous volumes of data. The data is not only voluminous, but often fragmented, subjective, inaccurate and fluid.Why does multi-player on-line gaming (MMOG technology matter to the IC? Fundamentally, there are two reasons. The first is technological: stripping away the gamelike content, MMOGs are dynamic systems that represent a physical world, where users are presented with (virtual life-and-death challenges that can only be overcome through planning, collaboration and communication. The second is cultural: the emerging generation of analysts is part of what is sometimes called the "Digital Natives" (Prensky 2001 and is fluent with interactive media. MMOGs enable faster visualization, data manipulation, collaboration and analysis than traditional text and imagery.ICWorld is an MMOG approach to intelligence analysis that fuses ideasfrom experts in the fields of gaming and data visualization, with knowledge of current and future intelligence analysis processes and tools. The concept has evolved over the last year as a result of evaluations by allsource analysts from around the IC. When fully developed, the Forterra team believes that ICWorld will fundamentally address major shortcomings of intelligence analysis, and dramatically improve the effectiveness of intelligence products.

  10. An effective electrostatic-confinement based fusion approach

    CERN Document Server

    Paul, R K

    2013-01-01

    The paper reports a new electrostatic-confinement based fusion approach, where, a new non-equilibrium distribution function for an ion-beam, compressed by an external electric force, has been derived. This distribution function allows the system to possess appreciably low and insignificant thermal energy irrespective of the energy per particle. The spread in the energy among the particles is attributed to the collisions in presence of the external force, whereas; for equilibrium, the spreading in energy is due to the absence of the force. The reactivity for a deuterium-deuterium fusion, using the proposed distribution function, has been computed. It is shown that the fusion time is comparable to the energy confinement time, collision time and transit time of the ion for beam energy greater than 160 keV. The estimated energy gain Q (ratio of fusion power to the power consumed by the system) is around 10 for beam energy 160 keV and ion density 1018 cm-3. The energy loss due to particle scattering is estimated a...

  11. A Bayesian decision approach to rainfall thresholds based flood warning

    Directory of Open Access Journals (Sweden)

    M. L. V. Martina

    2006-01-01

    Full Text Available Operational real time flood forecasting systems generally require a hydrological model to run in real time as well as a series of hydro-informatics tools to transform the flood forecast into relatively simple and clear messages to the decision makers involved in flood defense. The scope of this paper is to set forth the possibility of providing flood warnings at given river sections based on the direct comparison of the quantitative precipitation forecast with critical rainfall threshold values, without the need of an on-line real time forecasting system. This approach leads to an extremely simplified alert system to be used by non technical stakeholders and could also be used to supplement the traditional flood forecasting systems in case of system failures. The critical rainfall threshold values, incorporating the soil moisture initial conditions, result from statistical analyses using long hydrological time series combined with a Bayesian utility function minimization. In the paper, results of an application of the proposed methodology to the Sieve river, a tributary of the Arno river in Italy, are given to exemplify its practical applicability.

  12. An optimization-based approach to calculating neutrino flavor evolution

    Science.gov (United States)

    Armstrong, Eve; Patwardhan, Amol V.; Johns, Lucas; Kishimoto, Chad T.; Abarbanel, Henry D. I.; Fuller, George M.

    2017-10-01

    We assess the utility of an optimization-based data assimilation (D.A.) technique for treating the problem of nonlinear neutrino flavor transformation in core-collapse supernovae. D.A. uses measurements obtained from a physical system to estimate the state variable evolution and parameter values of the associated model. Formulated as an optimization procedure, D.A. can offer an integration-blind approach to predicting model evolution, which offers an advantage for models that thwart solution via traditional numerical integration techniques. Further, D.A. performs most optimally for models whose equations of motion are nonlinearly coupled. In this exploratory work, we consider a simple steady-state model with two monoenergetic neutrino beams coherently interacting with each other and a background medium. As this model can be solved via numerical integration, we have an independent consistency check for D.A. solutions. We find that the procedure can capture key features of flavor evolution over the entire trajectory, even given measurements of neutrino flavor only at the endpoint, and with an assumed known initial flavor distribution. Further, the procedure permits an examination of the sensitivity of flavor evolution to estimates of unknown model parameters, locates degeneracies in parameter space, and can identify the specific measurements required to break those degeneracies.

  13. Clustering based hybrid approach for facility location problem

    Directory of Open Access Journals (Sweden)

    Ashish Sharma

    2017-12-01

    Full Text Available The main objective of facility location problem is the utilization of the facility by maximum number of possible customers so that the profit is maximized. For instance, in some services like wireless sensor networks, Wi-Fi, repeaters, etc., where the service area is limited, some specific equipment is installed in such a way that it could be used by maximum number of users. Here, the number of users for a particular facility is optimized with the help of clustering technique. The study develops a model for facility allocation problem. For the solution algorithm, a hybrid approach which is based on clustering and mixed integer linear programming (MILP is proposed. The proposed method consists of two parts where in the first part, the K-means clustering technique is used and in the second part, for each cluster an MILP technique is implemented so that the facility which yields the maximum profit is obtained. Numerical examples for clustering and without clustering are presented. Analysis shows that due to clustering the average distance between facility and customer is significantly reduced.

  14. A Google Trends-based approach for monitoring NSSI

    Directory of Open Access Journals (Sweden)

    Bragazzi NL

    2013-12-01

    Full Text Available Nicola Luigi Bragazzi DINOGMI, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy Abstract: Non-suicidal self-injury (NSSI is an intentional, direct, and socially unacceptable behavior resulting in the destruction of one's own body tissues with no intention of dying or committing suicide, even though it is associated with a higher risk of attempted, planned, or just considered suicide. In this preliminary report, we introduce the concept of “NSSI 2.0”; that is to say, the study of the Internet usage by subjects with NSSI, and we introduce a Google Trends-based approach for monitoring NSSI, called NSSI infodemiology and infoveillance. Despite some limitations, Google Trends has already proven to be reliable for infectious diseases monitoring, and here we extend its application and potentiality in the field of suicidology. Ad hoc web portals and surveys could be designed in light of the reported results for helping people with NSSI. Keywords: infodemiology, infoveillance, Internet, non-suicidal self-injury

  15. eSchooling: an ICT-based approach to compentence- based education

    Directory of Open Access Journals (Sweden)

    Marco Ronchetti

    2015-10-01

    Full Text Available We present the eSchooling project, which aims at supporting the introduction of a nce-based approach to education in schools, leveraging Information and Communication Technology. The project supports the whole teaching and learning lifecycle, from the didactic project to the assessment, to the metacognitive reflection on the learning process. It supports all involved actors: teachers, students, school directors and families. Digital competence of the actors is reinforced both in personal way and communicative interaction.

  16. An Empirical vs Risk-Based Approach Algorithm to Intracavernosal Injection Therapy: A Prospective Study

    OpenAIRE

    Bernie, Helen Levey; Segal, Robert; Le, Brian; Burnett, Arthur; Bivalacqua, Trinity J.

    2017-01-01

    Introduction: Intracavernosal injection (ICI) therapy is widely used for the treatment of erectile dysfunction (ED). Its use in practice is largely empirical and has not been validated with evidence-based approaches. Aim: To compare two strategies for ICI, specifically a risk-based approach and an empiric-based approach, and assess the efficacy, patient satisfaction, and complication rates of the two treatment approaches. Methods: After obtaining approval from the institutional review b...

  17. Security of Heterogeneous Content in Cloud Based Library Information Systems Using an Ontology Based Approach

    Directory of Open Access Journals (Sweden)

    Mihai DOINEA

    2014-01-01

    Full Text Available As in any domain that involves the use of software, the library information systems take advantages of cloud computing. The paper highlights the main aspect of cloud based systems, describing some public solutions provided by the most important players on the market. Topics related to content security in cloud based services are tackled in order to emphasize the requirements that must be met by these types of systems. A cloud based implementation of an Information Library System is presented and some adjacent tools that are used together with it to provide digital content and metadata links are described. In a cloud based Information Library System security is approached by means of ontologies. Aspects such as content security in terms of digital rights are presented and a methodology for security optimization is proposed.

  18. State Synchronization Approaches in Web-based Applications

    Directory of Open Access Journals (Sweden)

    Grocevs Aleksejs

    2014-12-01

    Full Text Available The main objective of the article is to provide insight into technologies and approaches available to maintain consistent state on both client and server sides. The article describes basic RIA application state persistence difficulties and offers approaches to overcoming such problems using asynchronous data transmission synchronization channels and other user-available browser abilities.

  19. A desirability functions-based approach for simultaneous ...

    African Journals Online (AJOL)

    simultaneous optimization of quantitative and ordinal response variables. But none of these approaches results in an efficient optimal solution with respect to the desirability values of all the individual response variables. It motivated us to develop a more useful approach for simultaneously optimizing industrial processes ...

  20. Intrathecal pain management: a team-based approach

    Directory of Open Access Journals (Sweden)

    Adler JA

    2017-11-01

    Full Text Available Jeremy A Adler,1 Neona M Lotz2 1Pacific Pain Medicine Consultants, Encinitas, 2Cypress Ambulatory Surgery Center, Santa Maria, CA, USA Objective: Physician assistants (PAs, nurse practitioners (NPs, and registered nurses (RNs provide professional services on pain management teams. This review provides an overview of the practical management of chronic pain with intrathecal (IT therapy using an interprofessional approach (eg, physicians and other health care professionals, with a focus on the contributions of PAs, NPs, and RNs.Methods: Narrative review based on literature searches of the Medline database and treatment guidelines on the use of IT therapy in the management of patients with chronic pain.Results: The specific roles and responsibilities of PAs, NPs, and RNs in the management of patients receiving IT therapy vary by practice. In many pain treatment centers, PAs, NPs, and RNs are responsible for patient education, postimplant maintenance, and ongoing supportive care of patients receiving IT therapy. Topics that we address include patient selection, patient expectations and goal setting, medication selection, outcome assessment, and treatment adjustment. Currently, morphine and ziconotide (a nonopioid, selective N-type calcium channel blocker are the only agents approved by the US Food and Drug Administration for IT analgesia. We provide relevant information on the dosing, titration, and adverse effect management of these medications for PAs, NPs, and RNs responsible for administering IT therapy.Conclusion: PAs, NPs, and RNs are valuable members of IT pain management teams. Treatment success requires ongoing monitoring of efficacy and adverse effects, with corresponding adjustments to medication selection and dosing, in addition to good communication among the health care professionals involved in patient care. Keywords: chronic pain, implantable drug delivery system, morphine, patient education, ziconotide

  1. Successful Community Midwives in Pakistan: An Asset-Based Approach.

    Directory of Open Access Journals (Sweden)

    Zubia Mumtaz

    Full Text Available In response to the low levels of skilled birth attendance in rural Pakistan, the government introduced a new cadre of community midwives (CMWs in 2006. Assessments to-date have found that these CMWs have yet to emerge as significant providers for a number of sociocultural, geographic and financial reasons. However, a small number of CMWs have managed to establish functional practices in the private sector in conservative, infrastructure-challenged rural contexts. With an objective to highlight "what are the successful CMWs doing right given their context?" this paper adopts an asset-based approach to explore the experiences of the Pakistani CMWs who have managed to overcome the barriers and practice. We drew upon ethnographic data that was collected as part of a larger mixed methods study conducted in 2011-2012 in districts Jhelum and Layyah, Pakistan. Thirty eight CMWs, 45 other health care providers, 20 policymakers, 78 women, 35 husbands and 23 older women were interviewed. CMW clinics and practices were observed. Our data showed that only eight 8 out of 38 CMWs sampled were active providers. Poverty as a push factor to work and intrinsic individual-level characteristics that enabled the CMWs to respond successfully to the demands of the midwifery profession in the private sector emerged as the two key themes. Household poverty pushed the CMWs to work in this perceived low-status occupation. Their families supported them since they became the breadwinners. The successful CMWs also had an intrinsic sense of what was required to establish a private practice; they exhibited professionalism, had strong business sense and provided respectful maternity care. The study provides insight into how the program might improve its functioning by adapting its recruitment criteria to ensure selection of right candidates.

  2. Successful Community Midwives in Pakistan: An Asset-Based Approach.

    Science.gov (United States)

    Mumtaz, Zubia; Levay, Adrienne V; Bhatti, Afshan

    2015-01-01

    In response to the low levels of skilled birth attendance in rural Pakistan, the government introduced a new cadre of community midwives (CMWs) in 2006. Assessments to-date have found that these CMWs have yet to emerge as significant providers for a number of sociocultural, geographic and financial reasons. However, a small number of CMWs have managed to establish functional practices in the private sector in conservative, infrastructure-challenged rural contexts. With an objective to highlight "what are the successful CMWs doing right given their context?" this paper adopts an asset-based approach to explore the experiences of the Pakistani CMWs who have managed to overcome the barriers and practice. We drew upon ethnographic data that was collected as part of a larger mixed methods study conducted in 2011-2012 in districts Jhelum and Layyah, Pakistan. Thirty eight CMWs, 45 other health care providers, 20 policymakers, 78 women, 35 husbands and 23 older women were interviewed. CMW clinics and practices were observed. Our data showed that only eight 8 out of 38 CMWs sampled were active providers. Poverty as a push factor to work and intrinsic individual-level characteristics that enabled the CMWs to respond successfully to the demands of the midwifery profession in the private sector emerged as the two key themes. Household poverty pushed the CMWs to work in this perceived low-status occupation. Their families supported them since they became the breadwinners. The successful CMWs also had an intrinsic sense of what was required to establish a private practice; they exhibited professionalism, had strong business sense and provided respectful maternity care. The study provides insight into how the program might improve its functioning by adapting its recruitment criteria to ensure selection of right candidates.

  3. A mechanism-based approach to modeling ductile fracture.

    Energy Technology Data Exchange (ETDEWEB)

    Bammann, Douglas J.; Hammi, Youssef; Antoun, Bonnie R.; Klein, Patrick A.; Foulk, James W., III; McFadden, Sam X.

    2004-01-01

    Ductile fracture in metals has been observed to result from the nucleation, growth, and coalescence of voids. The evolution of this damage is inherently history dependent, affected by how time-varying stresses drive the formation of defect structures in the material. At some critically damaged state, the softening response of the material leads to strain localization across a surface that, under continued loading, becomes the faces of a crack in the material. Modeling localization of strain requires introduction of a length scale to make the energy dissipated in the localized zone well-defined. In this work, a cohesive zone approach is used to describe the post-bifurcation evolution of material within the localized zone. The relations are developed within a thermodynamically consistent framework that incorporates temperature and rate-dependent evolution relationships motivated by dislocation mechanics. As such, we do not prescribe the evolution of tractions with opening displacements across the localized zone a priori. The evolution of tractions is itself an outcome of the solution of particular, initial boundary value problems. The stress and internal state of the material at the point of bifurcation provides the initial conditions for the subsequent evolution of the cohesive zone. The models we develop are motivated by in-situ scanning electron microscopy of three-point bending experiments using 6061-T6 aluminum and 304L stainless steel, The in situ observations of the initiation and evolution of fracture zones reveal the scale over which the failure mechanisms act. In addition, these observations are essential for motivating the micromechanically-based models of the decohesion process that incorporate the effects of loading mode mixity, temperature, and loading rate. The response of these new cohesive zone relations is demonstrated by modeling the three-point bending configuration used for the experiments. In addition, we survey other methods with the potential

  4. A mechanistic based approach for enhancing buccal mucoadhesion of chitosan.

    Science.gov (United States)

    Meng-Lund, Emil; Muff-Westergaard, Christian; Sander, Camilla; Madelung, Peter; Jacobsen, Jette

    2014-01-30

    Mucoadhesive buccal drug delivery systems can enhance rapid drug absorption by providing an increased retention time at the site of absorption and a steep concentration gradient. An understanding of the mechanisms behind mucoadhesion of polymers, e.g. chitosan, is necessary for improving the mucoadhesiveness of buccal formulations. The interaction between chitosan of different chain lengths and porcine gastric mucin (PGM) was studied using a complex coacervation model (CCM), isothermal titration calorimetry (ITC) and a tensile detachment model (TDM). The effect of pH was assessed in all three models and the approach to add a buffer to chitosan based drug delivery systems is a means to optimize and enhance buccal drug absorption. The CCM demonstrated optimal interactions between chitosan and PGM at pH 5.2. The ITC experiments showed a significantly increase in affinity between chitosan and PGM at pH 5.2 compared to pH 6.3 and that the interactions were entropy driven. The TDM showed a significantly increase in strength of adhesion between chitosan discs and an artificial mucosal surface at pH 5.2 compared to pH 6.8, addition of PGM increased the total work of adhesion by a factor of 10 as compared to the wetted surface without PGM. These findings suggest that chitosan and PGM are able to interact by electrostatic interactions and by improving the conditions for electrostatic interactions, the adhesion between chitosan and PGM becomes stronger. Also, the three complementary methods were utilized to conclude the pH dependency on mucoadhesiveness. Copyright © 2013 Elsevier B.V. All rights reserved.

  5. Scaffolding in the Teaching of Writing Discussion Texts Based on SFL Genre-based Approach

    Directory of Open Access Journals (Sweden)

    Eva Fitriani Syarifah

    2015-12-01

    Full Text Available Writing in a second or foreign language seems to be the most difficult language skill for language learners to acquire (Laksmi, 2006; Lestari, 2008; Negari, 2011. Some scholars proposed the implementation of SFL – genre based approach in teaching writing (Derewianka, 1990; Rothery, 1996. However, SFL genre based approach seems to be product or teaching outcomes oriented (Ahn, 2012; Emilia, 2011. Therefore, the concept of scaffolding in which possible supports the process of students‟ individual development is important to be emerged in the teaching stages of SFL – GBA (Bodrova & Leong, 1998; Mulatsih, 2011. As a result, This study focuses on the issue of scaffoldings in the teaching of writing discussion texts based on SFL – Genre Based Approach. It particularly aims to investigate how scaffolding processes are implemented in the teaching of writing discussion texts based on SFL-GBA and how they improve the students‟ writing performance. The data rely on teaching and learning process in a classroom with six students in a tertiary level as the focus participants. The method used in the data analysis adopted a qualitative design with reference especially to the theory of the scaffolding and SFL-GBA. The results of analysis show that scaffolding processes are implemented in terms of macro and micro scaffoldings and able to improve the students‟ writing performance specifically in terms of social function, schematic structures, and language features of discussion genre. It is recommended that future related research should be conducted in more diverse of educational settings to see how scaffoldings are implemented in a variety of teaching practices.

  6. Alternative approaches to space-based power generation

    Science.gov (United States)

    Gregory, D. L.

    1977-01-01

    Satellite Power Stations (SPS) would generate electrical power in space for terrestrial use. Their geosynchronous orbit location permits continuous microwave power transmission to ground receiving antenna farms. Eight approaches to the generation of the electrical power to be transmitted were investigated. Configurations implementing these approaches were developed through an optimization process intended to yield the lowest cost for each. A complete program was baselined for each approach, identifying required production rates, quantities of launches, required facilities, etc. Each program was costed, including the associated launches, orbital assembly, and maintenance operations. The required electric power charges to amortize these costs were calculated. They range from 26 to 82 mills/kWh (ground busbar).

  7. Teaching EFL Writing: An Approach Based on the Learner's Context Model

    Science.gov (United States)

    Lin, Zheng

    2017-01-01

    This study aims to examine qualitatively a new approach to teaching English as a foreign language (EFL) writing based on the learner's context model. It investigates the context model-based approach in class and identifies key characteristics of the approach delivered through a four-phase teaching and learning cycle. The model collects research…

  8. A Web Based Approach to Integrate Space Culture and Education

    Science.gov (United States)

    Gerla, F.

    2002-01-01

    , who can use it to prepare their lessons, retrieve information and organize the didactic material in order to support their lessons. We think it important to use a user centered "psychology" based on UM: we have to know the needs and expectations of the students. Our intent is to use usability tests not just to prove the site effectiveness and clearness, but also to investigate aesthetical preferences of children and young people. Physics, mathematics, chemistry are just some of the difficult learning fields connected with space technologies. Space culture is a potentially never-ending field, and our scope will be to lead students by hand in this universe of knowledge. This paper will present MARS activities in the framework of the above methodologies aimed at implementing a web based approach to integrate space culture and education. The activities are already in progress and some results will be presented in the final paper.

  9. The Utility of Synthetic-based Approach of Writing among Iranian EFL Learners

    Directory of Open Access Journals (Sweden)

    Nasrin Derakhshandeh

    2014-05-01

    Full Text Available The present study intends to examine the utility of synthetic-based approach versus traditional approaches of writing among Iranian EFL learners. To achieve this end, ninety students at Upper-Intermediate level were randomly chosen from the English population of Kish and Gooyesh English Institutes. The students were divided into three groups. Group1 was asked to do a writing task based on product-based approach. A writing task based on process-oriented approach was administered to Group2; later on, Group 3 was invited to write a composition to assess their performance based on synthetic-based approach. The result of the t test and two-way ANOVA revealed that the students performed better in writing using synthetic approach rather than traditional approaches to writing.

  10. A model based lean approach to capability management

    CSIR Research Space (South Africa)

    Venter, Jacobus P

    2017-09-01

    Full Text Available areas of Defence such as Cyber Warfare, the requirement for agility and within the context of limited resources and tight time constraints a new approach to Defence Capability Management was researched. Ensuring the integration and interaction between...

  11. "Rights-based approaches": any new thing under the sun?

    NARCIS (Netherlands)

    Gaay Fortman, B. de

    2000-01-01

    After infra-structure development, community development, integrated rural development, basic needs, structural adjustment, human development and sustainable development -not to speak of "sustainable human development"- a new "approach" is gaining ground: human rights. The Human Development Report

  12. Zero based programming: a viable security budgeting approach.

    Science.gov (United States)

    Roll, Frederick G

    2003-01-01

    To get additional dollars or avoid budget cuts or personnel reductions, healthcare security directors should consider a budget approach that best justifies the needs of the department or organization.

  13. Bringing Genetics into the Classroom: A Practice-based Approach.

    Science.gov (United States)

    Lea, Dale Halsey; Thomas-Lawson, Marjorie

    2001-01-01

    Case studies illustrating baccalaureate and advanced practice nursing roles in genetic health care form the basis of an integrated approach to genetics education in nursing curricula. Use of such case studies involves nurses in obtaining informed consent from clients. (SK)

  14. IT Confidentiality Risk Assessment for an Architecture-Based Approach

    OpenAIRE

    Morali, A.; Zambon, Emmanuele; Etalle, Sandro; Overbeek, Paul

    2008-01-01

    Information systems require awareness of risks and a good understanding of vulnerabilities and their exploitations. In this paper, we propose a novel approach for the systematic assessment and analysis of confidentiality risks caused by disclosure of operational and functional information. The approach is modeldriven integrating information assets and the IT infrastructure that they rely on for distributed systems. IT infrastructures enable one to analyse risk propagation possibilities and ca...

  15. Effective Surface Conductivity Approach for Graphene Metamaterials Based Terahertz Devices

    DEFF Research Database (Denmark)

    Andryieuski, Andrei; Pizzocchero, Filippo; Booth, Tim

    2013-01-01

    We propose a description of graphene metamaterials properties through the effective surface conductivity. On the example of tunable absorber we demonstrate that this approach allows for fast and efficient design of functional terahertz devices.......We propose a description of graphene metamaterials properties through the effective surface conductivity. On the example of tunable absorber we demonstrate that this approach allows for fast and efficient design of functional terahertz devices....

  16. Management of thyroid nodules: a clinicopathological, evidence-based approach

    Energy Technology Data Exchange (ETDEWEB)

    Pacini, Furio; Ciuoli, Cristina; Di Cairano, Giovanni; Guarino, Elisa [University of Siena, Section of Endocrinology and Metabolism, Siena (Italy); Burroni, Luca [University of Siena, Nuclear Medicine Unit, Siena (Italy)

    2004-10-01

    Management of thyroid nodules is one of the most controversial issues in thyroidology. Different approaches derive from geographical variation in presentation, inadequate or incomplete clinical diagnosis, lack of prospective controlled studies and, frequently, the different cultural backgrounds of physicians. This review aims to offer a practical approach to the management of nodular thyroid disorders, considering the way in which the pathophysiology of the disease provides clues to the correct clinical diagnosis and therapy. (orig.)

  17. A microstructural approach to cytoskeletal mechanics based on tensegrity

    Science.gov (United States)

    Stamenovic, D.; Fredberg, J. J.; Wang, N.; Butler, J. P.; Ingber, D. E.

    1996-01-01

    Mechanical properties of living cells are commonly described in terms of the laws of continuum mechanics. The purpose of this report is to consider the implications of an alternative approach that emphasizes the discrete nature of stress bearing elements in the cell and is based on the known structural properties of the cytoskeleton. We have noted previously that tensegrity architecture seems to capture essential qualitative features of cytoskeletal shape distortion in adherent cells (Ingber, 1993a; Wang et al., 1993). Here we extend those qualitative notions into a formal microstructural analysis. On the basis of that analysis we attempt to identify unifying principles that might underlie the shape stability of the cytoskeleton. For simplicity, we focus on a tensegrity structure containing six rigid struts interconnected by 24 linearly elastic cables. Cables carry initial tension ("prestress") counterbalanced by compression of struts. Two cases of interconnectedness between cables and struts are considered: one where they are connected by pin-joints, and the other where the cables run through frictionless loops at the junctions. At the molecular level, the pinned structure may represent the case in which different cytoskeletal filaments are cross-linked whereas the looped structure represents the case where they are free to slip past one another. The system is then subjected to uniaxial stretching. Using the principal of virtual work, stretching force vs. extension and structural stiffness vs. stretching force relationships are calculated for different prestresses. The stiffness is found to increase with increasing prestress and, at a given prestress, to increase approximately linearly with increasing stretching force. This behavior is consistent with observations in living endothelial cells exposed to shear stresses (Wang & Ingber, 1994). At a given prestress, the pinned structure is found to be stiffer than the looped one, a result consistent with data on

  18. Use of traits-based bioassessment approaches in biomonitoring and ecological risk assessment

    NARCIS (Netherlands)

    Brink, van den P.J.; Alexander, A.; Desrosiers, M.; Goedkoop, W.; Goethals, P.L.M.; Liess, M.; Dyer, S.

    2011-01-01

    We discuss the application of traits-based bioassessment approaches in retrospective bioassessment as well as in prospective ecological risk assessments in regulatory frameworks. Both approaches address the interaction between species and stressors and their consequences at different levels of

  19. Global GNSS processing based on the raw observation approach

    Science.gov (United States)

    Strasser, Sebastian; Zehentner, Norbert; Mayer-Gürr, Torsten

    2017-04-01

    Many global navigation satellite system (GNSS) applications, e.g. Precise Point Positioning (PPP), require high-quality GNSS products, such as precise GNSS satellite orbits and clocks. These products are routinely determined by analysis centers of the International GNSS Service (IGS). The current processing methods of the analysis centers make use of the ionosphere-free linear combination to reduce the ionospheric influence. Some of the analysis centers also form observation differences, in general double-differences, to eliminate several additional error sources. The raw observation approach is a new GNSS processing approach that was developed at Graz University of Technology for kinematic orbit determination of low Earth orbit (LEO) satellites and subsequently adapted to global GNSS processing in general. This new approach offers some benefits compared to well-established approaches, such as a straightforward incorporation of new observables due to the avoidance of observation differences and linear combinations. This becomes especially important in view of the changing GNSS landscape with two new systems, the European system Galileo and the Chinese system BeiDou, currently in deployment. GNSS products generated at Graz University of Technology using the raw observation approach currently comprise precise GNSS satellite orbits and clocks, station positions and clocks, code and phase biases, and Earth rotation parameters. To evaluate the new approach, products generated using the Global Positioning System (GPS) constellation and observations from the global IGS station network are compared to those of the IGS analysis centers. The comparisons show that the products generated at Graz University of Technology are on a similar level of quality to the products determined by the IGS analysis centers. This confirms that the raw observation approach is applicable to global GNSS processing. Some areas requiring further work have been identified, enabling future

  20. A risk-based approach to flammable gas detector spacing.

    Science.gov (United States)

    Defriend, Stephen; Dejmek, Mark; Porter, Leisa; Deshotels, Bob; Natvig, Bernt

    2008-11-15

    Flammable gas detectors allow an operating company to address leaks before they become serious, by automatically alarming and by initiating isolation and safe venting. Without effective gas detection, there is very limited defense against a flammable gas leak developing into a fire or explosion that could cause loss of life or escalate to cascading failures of nearby vessels, piping, and equipment. While it is commonly recognized that some gas detectors are needed in a process plant containing flammable gas or volatile liquids, there is usually a question of how many are needed. The areas that need protection can be determined by dispersion modeling from potential leak sites. Within the areas that must be protected, the spacing of detectors (or alternatively, number of detectors) should be based on risk. Detector design can be characterized by spacing criteria, which is convenient for design - or alternatively by number of detectors, which is convenient for cost reporting. The factors that influence the risk are site-specific, including process conditions, chemical composition, number of potential leak sites, piping design standards, arrangement of plant equipment and structures, design of isolation and depressurization systems, and frequency of detector testing. Site-specific factors such as those just mentioned affect the size of flammable gas cloud that must be detected (within a specified probability) by the gas detection system. A probability of detection must be specified that gives a design with a tolerable risk of fires and explosions. To determine the optimum spacing of detectors, it is important to consider the probability that a detector will fail at some time and be inoperative until replaced or repaired. A cost-effective approach is based on the combined risk from a representative selection of leakage scenarios, rather than a worst-case evaluation. This means that probability and severity of leak consequences must be evaluated together. In marine and

  1. Improving enterprise system support - a case-based approach

    DEFF Research Database (Denmark)

    Wognum, P.M.; Krabbendam, J.J.; Buhl, Henrik

    2004-01-01

    organisational change. Success and failure factors and do's and don'ts, as can be found in the literature, provide necessary, but not sufficient, preconditions for starting an implementation project. The complexity of such a project makes full anticipation and control of potential problems impossible...... is not yet fully known. In this article, an approach is presented to gather knowledge on implementation process dynamics. The approach builds on theoretical and practical contributions in search for a structured human and organisational approach. The knowledge gathered has been analysed by means...... of a comprehensive reference framework. After this step a tool has been developed to support a consultant in assessing the maturity of a company to start an enterprise system implementation project. The knowledge, used directly in the tool, makes it possible to suggest improvement actions sensitive to the situation...

  2. SNP based heritability estimation using a Bayesian approach

    DEFF Research Database (Denmark)

    Krag, Kristian; Janss, Luc; Mahdi Shariati, Mohammad

    2013-01-01

    of 0.05, all models had difficulties in estimating the true heritability. The two Bayesian models were compared with a restricted maximum likelihood (REML) approach using a genomic relationship matrix. The comparison showed that the Bayesian approaches performed equally well as the REML approach......Heritability is a central element in quantitative genetics. New molecular markers to assess genetic variance and heritability are continually under development. The availability of molecular single nucleotide polymorphism (SNP) markers can be applied for estimation of variance components....... Differences in family structure were in general not found to influence the estimation of the heritability. For the sample sizes used in this study, a 10-fold increase of SNP density did not improve precision estimates compared with set-ups with a less dense distribution of SNPs. The methods used in this study...

  3. Planning-Based Approaches for Supporting Sustainable Landscape Development

    Directory of Open Access Journals (Sweden)

    Ch. Albert

    2010-10-01

    Full Text Available Planning often yields only limited influence on policy making. This paper explores how planning could address this challenge and support most effectively transitions towards sustainable landscape change. In merging insights from sustainability science research and nine recently concluded case studies of landscape planning, the paper reflects upon the applicability of the concept of “transition support”, discusses planning approaches and their perceived effectiveness to induce change in landscape governance, and identifies lessons learned. The paper’s outcomes include insights and potentially useful approaches that can be attributed to four emerging cross-cutting themes: approaches for (i dealing with the high degree of complexity and uncertainty of landscape systems, (ii integrating the various perspectives of experts, decision makers, and stakeholders in the assessment process (transdisciplinarity, (iii enhancing policy influence, and (iv initiating and sustaining learning and adaptive governance.

  4. An Evolutionary Ontology Approach for Community-Based Competency Management

    Science.gov (United States)

    de Baer, Peter; Meersman, Robert; Zhao, Gang

    In this article we describe an evolutionary ontology approach that distinguishes between major ontology changes and minor ontology changes. We divide the community in three (possibly overlapping) groups, i.e. facilitators, contributors, and users. Facilitators are a selected group of domain experts who represent the intended community. These facilitators define the intended goals of the ontology and will be responsible for major ontology and ontology platform changes. A larger group of contributors consists of all participating domain experts. The contributors will carry out minor ontology changes, like instantiation of concepts and description of concept instances. Users of the ontology may explore the ontology content via the ontology platform and/or make use of the published ontology content in XML or HTML format. The approach makes use of goal and group specific user interfaces to guide the ontology evolution process. For the minor ontology changes, the approach relies on the wisdom of crowds.

  5. An artificial immune approach for optical image based vision inspection

    Science.gov (United States)

    Zheng, Hong; Xiao, Nanfeng; Lan, Jinhui

    2003-03-01

    This paper presents a novel approach of visual inspection for texture surface defects. The approach uses artificial immune theory in learning the detection of texture defects. In this paper, texture defects are regards as non-self, and normal textures are regarded as self. Defect filters and segmentation thresholds used for defect detection are regarded as antibodies. The clonal selection algorithm stemmed from the natural immune system is employed to learn antibodies. Experimental results on textile image inspection are presented to illustrate the merit and feasibility of the proposed method.

  6. Surgical Approaches Based on Biological Objectives: GTR versus GBR Techniques

    Directory of Open Access Journals (Sweden)

    Gaia Pellegrini

    2013-01-01

    Full Text Available Guided tissue regenerative (GTR therapies are performed to regenerate the previously lost tooth supporting structure, thus maintaining the aesthetics and masticatory function of the available dentition. Alveolar ridge augmentation procedures (GBR intend to regain the alveolar bone lost following tooth extraction and/or periodontal disease. Several biomaterials and surgical approaches have been proposed. In this paper we report biomaterials and surgical techniques used for periodontal and bone regenerative procedures. Particular attention will be adopted to highlight the biological basis for the different therapeutic approaches.

  7. Two approaches to synthesis based on the domain theory

    DEFF Research Database (Denmark)

    Hansen, Claus Thorp; Andreasen, Mogens Myrup

    2002-01-01

    The domain theory is described in this chapter. By a strict distinction between the structural characteristics and the behavioural properties of a mechanical artefact, each domain, i.e. transformation-, organ-, and part domain, becomes a productive view for design of mechanical artefacts....... The functional reasoning within each domain and between the domains seems to be ruled by the function-means law (Hubka´s law). On the basis of the domain theory and the function-means law we present two formal approaches to the synthesis of mechanical artefacts, namely a design-process-oriented approach...

  8. An adaptive deep learning approach for PPG-based identification.

    Science.gov (United States)

    Jindal, V; Birjandtalab, J; Pouyan, M Baran; Nourani, M

    2016-08-01

    Wearable biosensors have become increasingly popular in healthcare due to their capabilities for low cost and long term biosignal monitoring. This paper presents a novel two-stage technique to offer biometric identification using these biosensors through Deep Belief Networks and Restricted Boltzman Machines. Our identification approach improves robustness in current monitoring procedures within clinical, e-health and fitness environments using Photoplethysmography (PPG) signals through deep learning classification models. The approach is tested on TROIKA dataset using 10-fold cross validation and achieved an accuracy of 96.1%.

  9. Improved eigensubspace-based approach for radio frequency interference filtering of synthetic aperture radar images

    Science.gov (United States)

    Zhou, Chunhui; Li, Fei; Li, Ning; Zheng, Huifang; Wang, Robert; Wang, Xiangyu

    2017-04-01

    The radio frequency interference (RFI) has an adverse effect on the useful signals, which can degrade the image quality seriously. An improved eigensubspace-based approach for RFI filtering of synthetic aperture radar images is developed. In the preprocessing stage of the proposed approach, the data sets that need subsequent processing can be selected in both frequency and time domain. Then, the data can be processed by the traditional eigensubspace-based approach. Compared with the traditional eigensubspace-based approach, our approach can work more efficiently and effectively.

  10. A combined Component-Based Approach for the Design of Distributed Software Systems

    NARCIS (Netherlands)

    Guareis de farias, Cléver; Ferreira Pires, Luis; van Sinderen, Marten J.; Quartel, Dick; Yang, H.; Gupta, S.

    2001-01-01

    Component-based software development enables the construction of software artefacts by assembling binary units of production, distribution and deployment, the so-called components. Several approaches to component-based development have been proposed recently. Most of these approaches are based on

  11. Implementing a Problem-Based Learning Approach for Teaching Research Methods in Geography

    Science.gov (United States)

    Spronken-Smith, Rachel

    2005-01-01

    This paper first describes problem-based learning; second describes how a research methods course in geography is taught using a problem-based learning approach; and finally relates student and staff experiences of this approach. The course is run through regular group meetings, two residential field trips and optional skills-based workshops.…

  12. Direct Time-Domain-Based Approach for Study of Space-Vector Pulsewidth Modulation

    DEFF Research Database (Denmark)

    Oleschuk, V.; Blaabjerg, Frede; Stankovic, A.M.

    2005-01-01

    Direct time-do main-based approach, which is characterized by the simplicity and clarity, is proposed for the study and design of space-vector based methods of pulsewidth modulation (PWM) for standard voltage source inverters for adjustable speed motor drives. This approach is based on the detailed...

  13. Performance evaluation of image-based location recognition approaches based on large-scale UAV imagery

    Science.gov (United States)

    Hesse, Nikolas; Bodensteiner, Christoph; Arens, Michael

    2014-10-01

    Recognizing the location where an image was taken, solely based on visual content, is an important problem in computer vision, robotics and remote sensing. This paper evaluates the performance of standard approaches for location recognition when applied to large-scale aerial imagery in both electro-optical (EO) and infrared (IR) domains. We present guidelines towards optimizing the performance and explore how well a standard location recognition system is suited to handle IR data. We show on three datasets that the performance of the system strongly increases if SIFT descriptors computed on Hessian-Affine regions are used instead of SURF features. Applications are widespread and include vision-based navigation, precise object geo-referencing or mapping.

  14. A Spreadsheet-Based Approach for Operations Research Teaching

    Science.gov (United States)

    Munisamy, Susila

    2009-01-01

    This paper considers the use of spreadsheet for introducing students to a variety of quantitative models covered in an introductory Operations Research (OR) course at the University of Malaya, Malaysia. This approach allows students to develop skills in modeling as they learn to apply the various quantitative models in a spreadsheet. Indeed,…

  15. A Wavelet-Based Approach to Pattern Discovery in Melodies

    DEFF Research Database (Denmark)

    2016-01-01

    : discovering themes and sections in the JKU Patterns Development Database and determining the parent compositions of excerpts from J. S. Bach’s Two-Part Inventions (BWV 772–786). The results indicate that the new approach performs well at finding noticeable and/or important patterns in melodies...

  16. Forest and nature governance: A practice based approach

    NARCIS (Netherlands)

    Arts, B.J.M.; Behagel, J.H.; Bommel, van S.; Koning, de J.; Turnhout, E.

    2013-01-01

    In studies of forest and nature governance the dominant approaches are rational choice and neo-institutionalism. This book takes another perspective. Departing from ‘practice theory’, and building upon scholars like Giddens, Bourdieu, Reckwitz, Schatzki and Callon, it seeks to move beyond

  17. A Dooyeweerd-based approach to regional economic development

    NARCIS (Netherlands)

    Aay, H; Van Langevelde, A

    2005-01-01

    Within regional science there is a need for a general theory of regional economic development, one that evaluates and integrates existing approaches. In this paper, the philosophy of Herman Dooyeweerd is used as a basis for conceptualising the contours of such a theory. Contributions of this

  18. IT Confidentiality Risk Assessment for an Architecture-Based Approach

    NARCIS (Netherlands)

    Morali, A.; Zambon, Emmanuele; Etalle, Sandro; Overbeek, Paul

    2008-01-01

    Information systems require awareness of risks and a good understanding of vulnerabilities and their exploitations. In this paper, we propose a novel approach for the systematic assessment and analysis of confidentiality risks caused by disclosure of operational and functional information. The

  19. A Behavior-Based Approach for Educational Robotics Activities

    Science.gov (United States)

    De Cristoforis, P.; Pedre, S.; Nitsche, M.; Fischer, T.; Pessacg, F.; Di Pietro, C.

    2013-01-01

    Educational robotics proposes the use of robots as a teaching resource that enables inexperienced students to approach topics in fields unrelated to robotics. In recent years, these activities have grown substantially in elementary and secondary school classrooms and also in outreach experiences to interest students in science, technology,…

  20. A neural network based reputation bootstrapping approach for service selection

    Science.gov (United States)

    Wu, Quanwang; Zhu, Qingsheng; Li, Peng

    2015-10-01

    With the concept of service-oriented computing becoming widely accepted in enterprise application integration, more and more computing resources are encapsulated as services and published online. Reputation mechanism has been studied to establish trust on prior unknown services. One of the limitations of current reputation mechanisms is that they cannot assess the reputation of newly deployed services as no record of their previous behaviours exists. Most of the current bootstrapping approaches merely assign default reputation values to newcomers. However, by this kind of methods, either newcomers or existing services will be favoured. In this paper, we present a novel reputation bootstrapping approach, where correlations between features and performance of existing services are learned through an artificial neural network (ANN) and they are then generalised to establish a tentative reputation when evaluating new and unknown services. Reputations of services published previously by the same provider are also incorporated for reputation bootstrapping if available. The proposed reputation bootstrapping approach is seamlessly embedded into an existing reputation model and implemented in the extended service-oriented architecture. Empirical studies of the proposed approach are shown at last.

  1. A desirability functions-based approach for simultaneous ...

    African Journals Online (AJOL)

    the industries. It is observed that only Hsieh and Tong (2001), Wu (2008) and Liao et al. (2014) have attempted to optimize quantitative and ordinal response variables simultaneously under Taguchi's framework of robust design approach. Hsieh and. Tong (2001) applied artificial neural networks for simultaneous ...

  2. Identifying approaches and tools for evaluating community-based ...

    African Journals Online (AJOL)

    Methods: A literature search was carried out to identify approaches and tools that could be used in Africa to evaluate CBE programmes. The search included published, peer-reviewed literature as well as grey literature and websites. Evaluation tools considered appropriate were obtained from the articles or their authors for ...

  3. Evidence-Based Medicine Approach to Abdominal Pain.

    Science.gov (United States)

    Natesan, Sreeja; Lee, Jerry; Volkamer, Heather; Thoureen, Traci

    2016-05-01

    The chief complaint of abdominal pain accounts for 5% to 10% of all presentations in the emergency department. With such broad differential and diagnostic modalities available, this article focuses on a systematic approach to evaluating abdominal pain, essential to providing patients with efficient and accurate care. Published by Elsevier Inc.

  4. An Approach for Search Based Testing of Null Pointer Exceptions

    NARCIS (Netherlands)

    Romano, D.; Di Penta, M.; Antoniol, G.

    2011-01-01

    Uncaught exceptions, and in particular null pointer exceptions (NPEs), constitute a major cause of crashes for software systems. Although tools for the static identification of potential NPEs exist, there is need for proper approaches able to identify system execution scenarios causing NPEs. This

  5. Training Simulator Fidelity Guidance: The Iterative Data Base Approach

    Science.gov (United States)

    1981-09-01

    theoretic approach (Levine, 1971), the task is conceived as a transfer of information between components of the system (man-machine, machine-man, man-man, or... Psychoanalysis , and Neurology. (Vol. 11). New York: Aesculapius Publishers Inc., 1977. Gagne, R. M. Human functions in systems. In R. M. Gagne (Ed.), Psychological

  6. A Project-Based Approach to Executive Education

    Science.gov (United States)

    Jacobson, Dax; Chapman, Richard; Ye, Christine; Van Os, Jerry

    2017-01-01

    Executive education (EE) has been an important part of business school offerings for nearly as long as there have been business schools. Similarly, business schools were among the first in higher education to adopt online approaches as a means for course delivery. Despite this experience, few business schools have been able to successfully…

  7. A community-based psychoeducational group approach to hypochondriasis

    NARCIS (Netherlands)

    Bouman, TK

    2002-01-01

    Background. This open trial investigates the feasibility and effectiveness of a cognitive-educational approach to hypochondriasis in a self-referred community sample. Method: Twenty-seven of 43 interested applicants fulfilled DSM-criteria for hypochondriasis and resembled a hypochondriacal reference

  8. Personal Development Plans: Insights from a Case Based Approach

    Science.gov (United States)

    Greenan, Peter

    2016-01-01

    Purpose: In light of contemporary shifts away from annual appraisals, this study aims to explore the implications of using a personal development plan (PDP) as a means of focussing on continuous feedback and development to improve individual performance and ultimately organisational performance. Design/methodology/approach: Data were collected…

  9. Retrieval of criminal trajectories with an FCA-based approach

    NARCIS (Netherlands)

    Poelmans, J.; Elzinga, P.; Dedene, G.

    2013-01-01

    In this paper we briefly discuss the possibilities of Formal Concept Analysis for gaining insight in large amounts of unstructured police reports. We present a generic human centred knowledge discovery approach and showcase promising results obtained during empirical validation. The first case study

  10. Concept Based Approach for Adaptive Personalized Course Learning System

    Science.gov (United States)

    Salahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali

    2013-01-01

    One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…

  11. Recognition of chemical entities: combining dictionary-based and grammar-based approaches.

    Science.gov (United States)

    Akhondi, Saber A; Hettne, Kristina M; van der Horst, Eelke; van Mulligen, Erik M; Kors, Jan A

    2015-01-01

    The past decade has seen an upsurge in the number of publications in chemistry. The ever-swelling volume of available documents makes it increasingly hard to extract relevant new information from such unstructured texts. The BioCreative CHEMDNER challenge invites the development of systems for the automatic recognition of chemicals in text (CEM task) and for ranking the recognized compounds at the document level (CDI task). We investigated an ensemble approach where dictionary-based named entity recognition is used along with grammar-based recognizers to extract compounds from text. We assessed the performance of ten different commercial and publicly available lexical resources using an open source indexing system (Peregrine), in combination with three different chemical compound recognizers and a set of regular expressions to recognize chemical database identifiers. The effect of different stop-word lists, case-sensitivity matching, and use of chunking information was also investigated. We focused on lexical resources that provide chemical structure information. To rank the different compounds found in a text, we used a term confidence score based on the normalized ratio of the term frequencies in chemical and non-chemical journals. The use of stop-word lists greatly improved the performance of the dictionary-based recognition, but there was no additional benefit from using chunking information. A combination of ChEBI and HMDB as lexical resources, the LeadMine tool for grammar-based recognition, and the regular expressions, outperformed any of the individual systems. On the test set, the F-scores were 77.8% (recall 71.2%, precision 85.8%) for the CEM task and 77.6% (recall 71.7%, precision 84.6%) for the CDI task. Missed terms were mainly due to tokenization issues, poor recognition of formulas, and term conjunctions. We developed an ensemble system that combines dictionary-based and grammar-based approaches for chemical named entity recognition, outperforming

  12. Recognition of chemical entities: combining dictionary-based and grammar-based approaches

    Science.gov (United States)

    2015-01-01

    Background The past decade has seen an upsurge in the number of publications in chemistry. The ever-swelling volume of available documents makes it increasingly hard to extract relevant new information from such unstructured texts. The BioCreative CHEMDNER challenge invites the development of systems for the automatic recognition of chemicals in text (CEM task) and for ranking the recognized compounds at the document level (CDI task). We investigated an ensemble approach where dictionary-based named entity recognition is used along with grammar-based recognizers to extract compounds from text. We assessed the performance of ten different commercial and publicly available lexical resources using an open source indexing system (Peregrine), in combination with three different chemical compound recognizers and a set of regular expressions to recognize chemical database identifiers. The effect of different stop-word lists, case-sensitivity matching, and use of chunking information was also investigated. We focused on lexical resources that provide chemical structure information. To rank the different compounds found in a text, we used a term confidence score based on the normalized ratio of the term frequencies in chemical and non-chemical journals. Results The use of stop-word lists greatly improved the performance of the dictionary-based recognition, but there was no additional benefit from using chunking information. A combination of ChEBI and HMDB as lexical resources, the LeadMine tool for grammar-based recognition, and the regular expressions, outperformed any of the individual systems. On the test set, the F-scores were 77.8% (recall 71.2%, precision 85.8%) for the CEM task and 77.6% (recall 71.7%, precision 84.6%) for the CDI task. Missed terms were mainly due to tokenization issues, poor recognition of formulas, and term conjunctions. Conclusions We developed an ensemble system that combines dictionary-based and grammar-based approaches for chemical named

  13. Condensed and Updated Version of the Systematic Approach Meteorological Knowledge Base Western North Pacific

    National Research Council Canada - National Science Library

    Carr, Lester

    1997-01-01

    The meteorological knowledge base for the Systematic and Integrated Approach to Tropical Cydone Track Forecasting proposed by Carr and Elsberry has evolved as additional research has been completed...

  14. An Agent Based Software Approach towards Building Complex Systems

    Directory of Open Access Journals (Sweden)

    Latika Kharb

    2015-08-01

    Full Text Available Agent-oriented techniques represent an exciting new means of analyzing, designing and building complex software systems. They have the potential to significantly improve current practice in software engineering and to extend the range of applications that can feasibly be tackled. Yet, to date, there have been few serious attempts to cast agent systems as a software engineering paradigm. This paper seeks to rectify this omission. Specifically, points to be argued include:firstly, the conceptual apparatus of agent-oriented systems is well-suited to building software solutions for complex systems and secondly, agent-oriented approaches represent a genuine advance over the current state of the art for engineering complex systems. Following on from this view, the major issues raised by adopting an agentoriented approach to software engineering are highlighted and discussed in this paper.

  15. Antecedent-based approach to binding in Icelandic and Faroese

    Directory of Open Access Journals (Sweden)

    Tania E. Strahan

    2011-10-01

    Full Text Available This paper examines the standard approach to long-distance reflexives within the Lexical-Functional Grammar framework. This approach defines the binding relation between a reflexive and its non-local antecedent by prescribing the type of syntactic elements which must and must not occur along the path from the reflexive to its antecedent. However, evidence from the Insular Scandinavian languages suggests that the binding relation should be expressed as positive and negative constraints on the path from the antecedent to the reflexive. In other words, I suggest that long-distance reflexives in Icelandic and Faroese are governed by outside-in functional uncertainty, not inside-out functional uncertainty, as is standardly assumed.

  16. Learning from project experiences using a legacy-based approach

    Science.gov (United States)

    Cooper, Lynne P.; Majchrzak, Ann; Faraj, Samer

    2005-01-01

    As project teams become used more widely, the question of how to capitalize on the knowledge learned in project teams remains an open issue. Using previous research on shared cognition in groups, an approach to promoting post-project learning was developed. This Legacy Review concept was tested on four in tact project teams. The results from those test sessions were used to develop a model of team learning via group cognitive processes. The model and supporting propositions are presented.

  17. Modern approaches to agent-based complex automated negotiation

    CERN Document Server

    Bai, Quan; Ito, Takayuki; Zhang, Minjie; Ren, Fenghui; Aydoğan, Reyhan; Hadfi, Rafik

    2017-01-01

    This book addresses several important aspects of complex automated negotiations and introduces a number of modern approaches for facilitating agents to conduct complex negotiations. It demonstrates that autonomous negotiation is one of the most important areas in the field of autonomous agents and multi-agent systems. Further, it presents complex automated negotiation scenarios that involve negotiation encounters that may have, for instance, a large number of agents, a large number of issues with strong interdependencies and/or real-time constraints.

  18. An Interlingual-based Approach to Reference Resolution

    Science.gov (United States)

    2000-01-01

    desarrollo, la producci6n y la comercializaci6n de medicamentos, productos para el diagn6stico, as| como de vitaminas y productos qulmicos. A nivel...suggest a practical approach to implementing it. We assume a two-stage language analysis system. First, a syntactic analysis of an input text results...in a functional structure in which certain cases of pronominal reference are resolved. Second, the f-structure is mapped onto an interlingual

  19. Mechatronic System Design Based On An Optimisation Approach

    DEFF Research Database (Denmark)

    Andersen, Torben Ole; Pedersen, Henrik Clemmensen; Hansen, Michael Rygaard

    The envisaged objective of this paper project is to extend the current state of the art regarding the design of complex mechatronic systems utilizing an optimisation approach. We propose to investigate a novel framework for mechatronic system design. The novelty and originality being the use...... of optimisation techniques. The methods used to optimise/design within the classical disciplines will be identified and extended to mechatronic system design....

  20. A trait-based approach to advance coral reef science

    DEFF Research Database (Denmark)

    Madin, Joshua S.; Hoogenboom, Mia O.; Connolly, Sean R.

    2016-01-01

    Coral reefs are biologically diverse and ecologically complex ecosystems constructed by stony corals. Despite decades of research, basic coral population biology and community ecology questions remain. Quantifying trait variation among species can help resolve these questions, but progress has be...... a large amount of variation for a range of biological and ecological processes. Such an approach can accelerate our understanding of coral ecology and our ability to protect critically threatened global ecosystems....

  1. A Novel Iterative CT Reconstruction Approach Based on FBP Algorithm.

    Directory of Open Access Journals (Sweden)

    Hongli Shi

    Full Text Available The Filtered Back-Projection (FBP algorithm and its modified versions are the most important techniques for CT (Computerized tomography reconstruction, however, it may produce aliasing degradation in the reconstructed images due to projection discretization. The general iterative reconstruction (IR algorithms suffer from their heavy calculation burden and other drawbacks. In this paper, an iterative FBP approach is proposed to reduce the aliasing degradation. In the approach, the image reconstructed by FBP algorithm is treated as the intermediate image and projected along the original projection directions to produce the reprojection data. The difference between the original and reprojection data is filtered by a special digital filter, and then is reconstructed by FBP to produce a correction term. The correction term is added to the intermediate image to update it. This procedure can be performed iteratively to improve the reconstruction performance gradually until certain stopping criterion is satisfied. Some simulations and tests on real data show the proposed approach is better than FBP algorithm or some IR algorithms in term of some general image criteria. The calculation burden is several times that of FBP, which is much less than that of general IR algorithms and acceptable in the most situations. Therefore, the proposed algorithm has the potential applications in practical CT systems.

  2. A psychology based approach for longitudinal development in cognitive robotics.

    Science.gov (United States)

    Law, J; Shaw, P; Earland, K; Sheldon, M; Lee, M

    2014-01-01

    A major challenge in robotics is the ability to learn, from novel experiences, new behavior that is useful for achieving new goals and skills. Autonomous systems must be able to learn solely through the environment, thus ruling out a priori task knowledge, tuning, extensive training, or other forms of pre-programming. Learning must also be cumulative and incremental, as complex skills are built on top of primitive skills. Additionally, it must be driven by intrinsic motivation because formative experience is gained through autonomous activity, even in the absence of extrinsic goals or tasks. This paper presents an approach to these issues through robotic implementations inspired by the learning behavior of human infants. We describe an approach to developmental learning and present results from a demonstration of longitudinal development on an iCub humanoid robot. The results cover the rapid emergence of staged behavior, the role of constraints in development, the effect of bootstrapping between stages, and the use of a schema memory of experiential fragments in learning new skills. The context is a longitudinal experiment in which the robot advanced from uncontrolled motor babbling to skilled hand/eye integrated reaching and basic manipulation of objects. This approach offers promise for further fast and effective sensory-motor learning techniques for robotic learning.

  3. A psychology based approach for longitudinal development in cognitive robotics

    Directory of Open Access Journals (Sweden)

    James eLaw

    2014-01-01

    Full Text Available A major challenge in robotics is the ability to learn, from novel experiences, new behaviour that is useful for achieving new goals and skills. Autonomous systems must be able to learn solely through the environment, thus ruling out a priori task knowledge, tuning, extensive training, or other forms of pre-programming. Learning must also be cumulative and incremental, as complex skills are built on top of primitive skills. Additionally, it must be driven by intrinsic motivation because formative experience is gained through autonomous activity, even in the absence of extrinsic goals or tasks. This paper presents an approach to these issues through robotic implementations inspired by the learning behaviour of human infants. We describe an approach to developmental learning and present results from a demonstration of longitudinal development on an iCub humanoid robot. The results cover the rapid emergence of staged behaviour, the role of constraints in development, the effect of bootstrapping between stages, and the use of a schema memory of experiential fragments in learning new skills. The context is a longitudinalexperiment in which the robot advanced from uncontrolled motor babbling to skilled hand/eyeintegrated reaching and basic manipulation of objects. This approach offers promise for furtherfast and effective sensory-motor learning techniques for robotic learning.

  4. S-variable approach to LMI-based robust control

    CERN Document Server

    Ebihara, Yoshio; Arzelier, Denis

    2015-01-01

    This book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed at all). The specific adaptations of the method necessitated by each problem are also detailed. The problems dealt with in the book have the common traits that: analytic closed-form solutions are not available; and LMIs can be applied to produce numerical solutions with a certain amount of conservatism. Typical examples are robustness analysis of linear systems affected by parametric uncertainties and the synthesis of a linear controller satisfying multiple, often  conflicting, design specifications. For problems in which LMI methods produce conservative results, the SV approach is shown to achieve greater accuracy...

  5. Optimization-Based Approaches To Feature Extraction from Aerial Images

    Science.gov (United States)

    Fua, Pascal; Gruen, Armin; Li, Haihong

    Extracting cartographic objects from images is a difficult task because aerial images are inherently noisy, complex, and ambiguous. Using models of the objects of interest to guide the search has proved to be an effective approach that yields good results. In such an approach, the problem becomes one of fitting the models to the image data, which we phrase as an optimization problem. The appropriate optimization technique to use depends on the exact nature of the model. In this paper, we review and contrast some of the approaches we have developed for extracting cartographic objects and present the key aspects of their implementation. Using these techniques, rough initial sketches of 2-D and 3-D objects can automatically be refined, resulting in accurate models that can be guaranteed to be consistent with one another. We believe that such capabilities will prove indispensable to automating the generation of complex object databases from imagery, such as the ones required for high-resolution mapping, realistic simulations or intelligence analysis.LNES 95, p. 190 ff.

  6. A psychology based approach for longitudinal development in cognitive robotics

    Science.gov (United States)

    Law, J.; Shaw, P.; Earland, K.; Sheldon, M.; Lee, M.

    2014-01-01

    A major challenge in robotics is the ability to learn, from novel experiences, new behavior that is useful for achieving new goals and skills. Autonomous systems must be able to learn solely through the environment, thus ruling out a priori task knowledge, tuning, extensive training, or other forms of pre-programming. Learning must also be cumulative and incremental, as complex skills are built on top of primitive skills. Additionally, it must be driven by intrinsic motivation because formative experience is gained through autonomous activity, even in the absence of extrinsic goals or tasks. This paper presents an approach to these issues through robotic implementations inspired by the learning behavior of human infants. We describe an approach to developmental learning and present results from a demonstration of longitudinal development on an iCub humanoid robot. The results cover the rapid emergence of staged behavior, the role of constraints in development, the effect of bootstrapping between stages, and the use of a schema memory of experiential fragments in learning new skills. The context is a longitudinal experiment in which the robot advanced from uncontrolled motor babbling to skilled hand/eye integrated reaching and basic manipulation of objects. This approach offers promise for further fast and effective sensory-motor learning techniques for robotic learning. PMID:24478693

  7. Systemwide Implementation of Project-Based Learning: The Philadelphia Approach

    Science.gov (United States)

    Schwalm, Jason; Tylek, Karen Smuck

    2012-01-01

    Citywide implementation of project-based learning highlights the benefits--and the challenges--of promoting exemplary practices across an entire out-of-school time (OST) network. In summer 2009, the City of Philadelphia and its intermediary, the Public Health Management Corporation (PHMC), introduced project-based learning to a network of more…

  8. Component-Based Approach for Educating Students in Bioinformatics

    Science.gov (United States)

    Poe, D.; Venkatraman, N.; Hansen, C.; Singh, G.

    2009-01-01

    There is an increasing need for an effective method of teaching bioinformatics. Increased progress and availability of computer-based tools for educating students have led to the implementation of a computer-based system for teaching bioinformatics as described in this paper. Bioinformatics is a recent, hybrid field of study combining elements of…

  9. An Arts-Based Approach to Conceptual Educational Practice

    Science.gov (United States)

    Nickerson-Crowe, Kate

    2005-01-01

    I present autobiographical writing and photographic imaging, an arts-based research methodology, to understand my personal knowledge as a means to understand my professional knowledge. Using my passions for writing and photography, I explore the conflicts, opportunities, and purposes of using a visual form of arts-based narrative inquiry from a…

  10. Pricing for Higher Education Institutions: A Value-Based Approach

    Science.gov (United States)

    Amir, Amizawati Mohd; Auzair, Sofiah Md; Maelah, Ruhanita; Ahmad, Azlina

    2016-01-01

    Purpose: The purpose of this paper is to propose the concept of higher education institutions (HEIs) offering educational services based on value for money. The value is determined based on customers' (i.e. students) expectations of the service and the costs in comparison to the competitors. Understanding the value and creating customer value are…

  11. A model-based approach for fault-tolerant control

    DEFF Research Database (Denmark)

    Niemann, Hans Henrik

    2010-01-01

    A model-based controller architecture for faulttolerant control (FTC) is presented in this paper. The controller architecture is based on the Youla-Jabr-Bongiorno-Kucera (YJBK) parameterization. The FTC architecture consists of two central parts, fault detection and isolation (FDI) part and a con...

  12. A model–based approach to fault–tolerant control

    DEFF Research Database (Denmark)

    Niemann, Hans Henrik

    2012-01-01

    A model-based controller architecture for Fault-Tolerant Control (FTC) is presented in this paper. The controller architecture is based on a general controller parameterization. The FTC architecture consists of two main parts, a Fault Detection and Isolation (FDI) part and a controller reconfigur...

  13. An Inquiry-Based Approach to Teaching Photosynthesis & Cellular Respiration

    Science.gov (United States)

    O'Connell, Dan

    2008-01-01

    Recent studies of American science education have highlighted the need for more inquiry-based lessons. For example, when the National Research Counsel evaluated the Advanced Placement (AP) Biology program, it pointed out, "AP laboratory exercises tend to be "cookbook" rather than inquiry based. This criticism is particularly apt for the lab…

  14. Dashboard auditing of ABC (Activity-Based Costing). Theoretical approaches

    OpenAIRE

    Căpuşneanu, Sorinel/I

    2009-01-01

    This article aims to define the dashboard auditing according to the specifics of Activity-Based Costing method (ABC). It describes the main objectives of dashboard auditing, the criteria that a dashboard auditor should meet and the step-by-step stages of the entire dashboard auditing process of an enterprise from steel industry according to the Activity-Based Costing method (ABC).

  15. Rule based systems for big data a machine learning approach

    CERN Document Server

    Liu, Han; Cocea, Mihaela

    2016-01-01

    The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

  16. NiAl-based approach for rocket combustion chambers

    Science.gov (United States)

    Nathal, Michael V. (Inventor); Gayda, John (Inventor); Noebe, Ronald D. (Inventor)

    2005-01-01

    A multi-layered component, such as a rocket engine combustion chamber, includes NiAl or NiAl-based alloy as a structural layer on the hot side of the component. A second structural layer is formed of material selected from Ni-based superalloys, Co-based alloys, Fe-based alloys, Cu, and Cu-based alloys. The second material is more ductile than the NiAl and imparts increased toughness to the component. The second material is selected to enhance one or more predetermined physical properties of the component. Additional structural layers may be included with the additional material(s) being selected for their impact on physical properties of the component.

  17. Confidence Level Based Approach to Total Dose Specification for Spacecraft Electronics

    Science.gov (United States)

    Xapsos, M. A.; Stauffer, C.; Phan, A.; McClure, S. S.; Ladbury, R. L.; Pellish, J. A.; Campola, M. J.; Label, K. A.

    2017-01-01

    A confidence level based approach to total dose radiation hardness assurance is presented for spacecraft electronics. It is applicable to both ionizing and displacement damage dose. Results are compared to the traditional approach that uses radiation design margin and advantages of the new approach are discussed.

  18. Natural language in measuring user emotions : A qualitative approach to quantitative survey-based emotion measurement

    NARCIS (Netherlands)

    Tonetto, L.M.; Desmet, P.M.A.

    2012-01-01

    This paper presents an approach to developing surveys that measure user experiences with the use of natural everyday language. The common approach to develop questionnaires that measure experience is to translate theoretical factors into verbal survey items. This theory-based approach can impair the

  19. An introduction to statistical computing a simulation-based approach

    CERN Document Server

    Voss, Jochen

    2014-01-01

    A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems.  Sampling-based simulation techniques are now an invaluable tool for exploring statistical models.  This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods.  It also includes some advanced met

  20. Approach to spatial information security based on digital certificate

    Science.gov (United States)

    Cong, Shengri; Zhang, Kai; Chen, Baowen

    2005-11-01

    With the development of the online applications of geographic information systems (GIS) and the spatial information services, the spatial information security becomes more important. This work introduced digital certificates and authorization schemes into GIS to protect the crucial spatial information combining the techniques of the role-based access control (RBAC), the public key infrastructure (PKI) and the privilege management infrastructure (PMI). We investigated the spatial information granularity suited for sensitivity marking and digital certificate model that fits the need of GIS security based on the semantics analysis of spatial information. It implements a secure, flexible, fine-grained data access based on public technologies in GIS in the world.

  1. Interdisciplinarity in translation teaching: competence-based education, translation task-based approach, context-based text typology

    Directory of Open Access Journals (Sweden)

    Edelweiss Vitol Gysel

    2017-05-01

    Full Text Available In the context of competence-based teaching, this paper draws upon the model of Translation Competence (TC put forward by the PACTE group (2003 to establish a dialogue between cognitive-constructivist paradigms for translation teaching and the model of the Context-based Text Typology (MATTHIESSEN et al., 2007. In this theoretical environment, it proposes a model for the design of a Teaching Unit (TU for the development of the bilingual competence in would-be-translators.To this end, it explores translation as a cognitive, communicative and textual activity (HURTADO ALBIR, 2011 and considers its teaching from the translation task-based approach (HURTADO ALBIR, 1999. This approach is illustrated through the practical example of the design of a TU elaborated for the subject ‘Introduction to Specialized Translation’,part of the curricular grid of the program ‘Secretariado Executivo’ at Universidade Federal de Santa Catarina. Aspects such as the establishment of learning objectives and their alignment with the translation tasks composing the TU are addressed for this specific pedagogical situation. We argue for the development of textual competences by means of the acquisition of strategies derived from the Context-based Text Typology to solve problems arising from the translation of different text types and contextual configurations.

  2. Information Extraction from Large-scale WSNs: Approaches and Research Issues Part II: Query-Based and Macroprogramming Approaches

    Directory of Open Access Journals (Sweden)

    Tessa DANIEL

    2008-07-01

    Full Text Available Regardless of the application domain and deployment scope, the ability to retrieve information is critical to the successful functioning of any wireless sensor network (WSN system. In general, information extraction procedures can be categorized into three main approaches: agent-based, query-based and macroprogramming led. Whilst query-based systems are the most popular, macroprogramming techniques provide a more general-purpose approach to distributed computation. Finally, the agent-based approaches tailor the information extraction mechanism to the type of information needed and the configuration of the network it needs to be extracted from. This suite of three papers (Part I-III offers an extensive survey of the literature in the area of WSN information extraction, covering in Part I and Part II the three main approaches above. Part III highlights the open research questions and issues faced by deployable WSN system designers and discusses the potential benefits of both in-network processing and complex querying for large scale wireless informational systems.

  3. The role of hazard- and risk-based approaches in ensuring food safety

    DEFF Research Database (Denmark)

    Barlow, Susan M.; Boobis, Alan R.; Bridges, Jim

    2015-01-01

    Background Food legislation in the European Union and elsewhere includes both hazard- and risk-based approaches for ensuring safety. In hazard-based approaches, simply the presence of a potentially harmful agent at a detectable level in food is used as a basis for legislation and/or risk management...... action. Risk-based approaches allow consideration of exposure in assessing whether there may be unacceptable risks to health. Scope and approach The advantages and disadvantages of hazard- and risk-based approaches for ensuring the safety of food chemicals, allergens, ingredients and microorganisms were....../substance present in food. This separation of decision-making can result in hazard-based restrictions on marketing and use, whereas risk-based assessments for those exposed show there is reasonable certainty no harm will result. This in turn can lead to contradictory, confusing and ultimately unnecessary actions...

  4. An Expert System-based Context-Aware Ubiquitous Learning Approach for Conducting Science Learning Activities

    National Research Council Canada - National Science Library

    Po-Han Wu; Gwo-Jen Hwang; Wen-Hung Tsai

    2013-01-01

    .... In this study, an expert system-based guidance approach is proposed for conducting effective context-aware ubiquitous learning activities based on the domain knowledge provided by experienced teachers...

  5. A Model-based Prognostics Approach Applied to Pneumatic Valves

    Data.gov (United States)

    National Aeronautics and Space Administration — Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain...

  6. A Model-Based Prognostics Approach Applied to Pneumatic Valves

    Data.gov (United States)

    National Aeronautics and Space Administration — Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain...

  7. An opinion formation based binary optimization approach for feature selection

    Science.gov (United States)

    Hamedmoghadam, Homayoun; Jalili, Mahdi; Yu, Xinghuo

    2018-02-01

    This paper proposed a novel optimization method based on opinion formation in complex network systems. The proposed optimization technique mimics human-human interaction mechanism based on a mathematical model derived from social sciences. Our method encodes a subset of selected features to the opinion of an artificial agent and simulates the opinion formation process among a population of agents to solve the feature selection problem. The agents interact using an underlying interaction network structure and get into consensus in their opinions, while finding better solutions to the problem. A number of mechanisms are employed to avoid getting trapped in local minima. We compare the performance of the proposed method with a number of classical population-based optimization methods and a state-of-the-art opinion formation based method. Our experiments on a number of high dimensional datasets reveal outperformance of the proposed algorithm over others.

  8. Argumentation based joint learning: a novel ensemble learning approach.

    Directory of Open Access Journals (Sweden)

    Junyi Xu

    Full Text Available Recently, ensemble learning methods have been widely used to improve classification performance in machine learning. In this paper, we present a novel ensemble learning method: argumentation based multi-agent joint learning (AMAJL, which integrates ideas from multi-agent argumentation, ensemble learning, and association rule mining. In AMAJL, argumentation technology is introduced as an ensemble strategy to integrate multiple base classifiers and generate a high performance ensemble classifier. We design an argumentation framework named Arena as a communication platform for knowledge integration. Through argumentation based joint learning, high quality individual knowledge can be extracted, and thus a refined global knowledge base can be generated and used independently for classification. We perform numerous experiments on multiple public datasets using AMAJL and other benchmark methods. The results demonstrate that our method can effectively extract high quality knowledge for ensemble classifier and improve the performance of classification.

  9. Argumentation based joint learning: a novel ensemble learning approach.

    Science.gov (United States)

    Xu, Junyi; Yao, Li; Li, Le

    2015-01-01

    Recently, ensemble learning methods have been widely used to improve classification performance in machine learning. In this paper, we present a novel ensemble learning method: argumentation based multi-agent joint learning (AMAJL), which integrates ideas from multi-agent argumentation, ensemble learning, and association rule mining. In AMAJL, argumentation technology is introduced as an ensemble strategy to integrate multiple base classifiers and generate a high performance ensemble classifier. We design an argumentation framework named Arena as a communication platform for knowledge integration. Through argumentation based joint learning, high quality individual knowledge can be extracted, and thus a refined global knowledge base can be generated and used independently for classification. We perform numerous experiments on multiple public datasets using AMAJL and other benchmark methods. The results demonstrate that our method can effectively extract high quality knowledge for ensemble classifier and improve the performance of classification.

  10. The ethical approach to evidence-based medicine | Kruger | South ...

    African Journals Online (AJOL)

    Abstract. This paper will explore the role of evidence-based medicine in ethical practice of health care professionals. It will also address some of its limitations and potential for negative impact on health care.

  11. Arogyasree: An Enhanced Grid-Based Approach to Mobile Telemedicine

    Directory of Open Access Journals (Sweden)

    Sriram Kailasam

    2010-01-01

    Full Text Available A typical telemedicine system involves a small set of hospitals providing remote healthcare services to a small section of the society using dedicated nodal centers. However, in developing nations like India where majority live in rural areas that lack specialist care, we envision the need for much larger Internet-based telemedicine systems that would enable a large pool of doctors and hospitals to collectively provide healthcare services to entire populations. We propose a scalable, Internet-based P2P architecture for telemedicine integrating multiple hospitals, mobile medical specialists, and rural mobile units. This system, based on the store and forward model, features a distributed context-aware scheduler for providing timely and location-aware telemedicine services. Other features like zone-based overlay structure and persistent object space abstraction make the system efficient and easy to use. Lastly, the system uses the existing internet infrastructure and supports mobility at doctor and patient ends.

  12. A Gis-Based Approach for Information Management in Geolinguistics

    Directory of Open Access Journals (Sweden)

    Silviu-Ioan Bejinariu

    2016-09-01

    Full Text Available The geographic position is an important property of linguistic information in geolinguistics. This paper proposes a Geographic Information System (GIS based framework for linguistic information management, consulting and analysis. Dialectal information is presented and consulted mainly in graphical format, as maps in linguistic atlases. These atlases are periodically published for each historical region of Romania, but each of them is prepared using different data structures and codification methods. Maps are drawn as graphics without a real localization based on geographic coordinates, which makes difficult further spatial analysis of the linguistic information. In the proposed framework, linguistic information is an attribute of a geographic location benefiting from the advantages of a GIS-based system. In this paper, the framework is briefly described and the data models for geographical and linguistic information are detailed. The GIS-based framework allows future developments as spatial analysis and statistics of linguistic data.

  13. Competence-based approach and the future sociohumanitarian education

    Directory of Open Access Journals (Sweden)

    Bryzgalina Elena Vladimirovna

    2013-02-01

    Full Text Available The article traces the relationship between the understanding of the purposes of higher education and assessment of educational outcomes. Inclination of our country to the continental variant of understanding of the educational goals, when the main contracting authority is the state, leads to the existence of standards as an expression of the conventional expectations of society in relation to the formation of a certain level and profile. Borrowing competence model of standards related to the adoption of pragmatic approach to education in Russia as a way to increment of human capital.

  14. Cauchy problem for Laplace equation: An observer based approach

    KAUST Repository

    Majeed, Muhammad Usman

    2013-10-01

    A method to solve Cauchy Problem for Laplace equation using state observers is proposed. It is known that this problem is ill-posed. The domain under consideration is simple lipschitz in 2 with a hole. The idea is to recover the solution over whole domain from the observations on outer boundary. Proposed approach adapts one of the space variables as a time variable. The observer developed to solve Cauchy problem for the Laplace\\'s equation is compuationally robust and accurate. © 2013 IEEE.

  15. Synthesis of biorefinery networks using a superstructure optimization based approach

    DEFF Research Database (Denmark)

    Bertran, Maria-Ona; Anaya-Reza, Omar; Lopez-Arenas, Maria Teresa

    Petroleum is currently the primary raw material for the production of fuels and chemicals. Consequently, our society is highly dependent on fossil non-renewable resources. However, renewable raw materials are recently receiving increasing interest for the production of chemicals and fuels, so a n...... of the proposed approach is shown through a practical case study for the production of valuable products (i.e. lysine and lactic acid) from sugarcane molasses; these alternatives are considered with respect to availability and demands in Mexico [4]....

  16. IoT interoperability:a hub-based approach

    OpenAIRE

    Blackstock, Michael; Lea, Rodger

    2014-01-01

    Interoperability in the Internet of Things is critical for emerging services and applications. In this paper we advocate the use of IoT ‘hubs’ to aggregate things using web protocols, and suggest a staged approach to interoperability. In the context of a UK government funded project involving 8 IoT projects to address cross-domain IoT interoperability, we introduce the HyperCat IoT catalogue specification. We then describe the tools and techniques we developed to adapt an existing data portal...

  17. Accrual based accounting implementation: An approach for modelling major decisions

    Directory of Open Access Journals (Sweden)

    Ratno Agriyanto

    2016-12-01

    Full Text Available Over the last three decades the main issues of implementation of accrual based accounting government institutions in Indonesia. Implementation of accrual based accounting in government institutions amid debate about the usefulness of accounting information for decision-making. Empirical study shows that the accrual based of accounting information on a government institution is not used for decision making. The research objective was to determine the impact of the implementation of the accrual based accounting to the accrual basis of accounting information use for decision-making basis. We used the survey questionnaires. The data were processed by SEM using statistical software WarpPLS. The results showed that the implementation of the accrual based accounting in City Government Semarang has significantly positively associated with decision-making. Another important finding is the City Government officials of Semarang have personality, low tolerance of ambiguity is a negative effect on the relationship between the implementation of the accrual based accounting for decision making

  18. A novel approach based on preference-based index for interval bilevel linear programming problem.

    Science.gov (United States)

    Ren, Aihong; Wang, Yuping; Xue, Xingsi

    2017-01-01

    This paper proposes a new methodology for solving the interval bilevel linear programming problem in which all coefficients of both objective functions and constraints are considered as interval numbers. In order to keep as much uncertainty of the original constraint region as possible, the original problem is first converted into an interval bilevel programming problem with interval coefficients in both objective functions only through normal variation of interval number and chance-constrained programming. With the consideration of different preferences of different decision makers, the concept of the preference level that the interval objective function is preferred to a target interval is defined based on the preference-based index. Then a preference-based deterministic bilevel programming problem is constructed in terms of the preference level and the order relation [Formula: see text]. Furthermore, the concept of a preference δ-optimal solution is given. Subsequently, the constructed deterministic nonlinear bilevel problem is solved with the help of estimation of distribution algorithm. Finally, several numerical examples are provided to demonstrate the effectiveness of the proposed approach.

  19. A regularized, model-based approach to phase-based conductivity mapping using MRI.

    Science.gov (United States)

    Ropella, Kathleen M; Noll, Douglas C

    2017-11-01

    To develop a novel regularized, model-based approach to phase-based conductivity mapping that uses structural information to improve the accuracy of conductivity maps. The inverse of the three-dimensional Laplacian operator is used to model the relationship between measured phase maps and the object conductivity in a penalized weighted least-squares optimization problem. Spatial masks based on structural information are incorporated into the problem to preserve data near boundaries. The proposed Inverse Laplacian method was compared against a restricted Gaussian filter in simulation, phantom, and human experiments. The Inverse Laplacian method resulted in lower reconstruction bias and error due to noise in simulations than the Gaussian filter. The Inverse Laplacian method also produced conductivity maps closer to the measured values in a phantom and with reduced noise in the human brain, as compared to the Gaussian filter. The Inverse Laplacian method calculates conductivity maps with less noise and more accurate values near boundaries. Improving the accuracy of conductivity maps is integral for advancing the applications of conductivity mapping. Magn Reson Med 78:2011-2021, 2017. © 2016 International Society for Magnetic Resonance in Medicine. © 2016 International Society for Magnetic Resonance in Medicine.

  20. Behavior-based network management: a unique model-based approach to implementing cyber superiority

    Science.gov (United States)

    Seng, Jocelyn M.

    2016-05-01

    Behavior-Based Network Management (BBNM) is a technological and strategic approach to mastering the identification and assessment of network behavior, whether human-driven or machine-generated. Recognizing that all five U.S. Air Force (USAF) mission areas rely on the cyber domain to support, enhance and execute their tasks, BBNM is designed to elevate awareness and improve the ability to better understand the degree of reliance placed upon a digital capability and the operational risk.2 Thus, the objective of BBNM is to provide a holistic view of the digital battle space to better assess the effects of security, monitoring, provisioning, utilization management, allocation to support mission sustainment and change control. Leveraging advances in conceptual modeling made possible by a novel advancement in software design and implementation known as Vector Relational Data Modeling (VRDM™), the BBNM approach entails creating a network simulation in which meaning can be inferred and used to manage network behavior according to policy, such as quickly detecting and countering malicious behavior. Initial research configurations have yielded executable BBNM models as combinations of conceptualized behavior within a network management simulation that includes only concepts of threats and definitions of "good" behavior. A proof of concept assessment called "Lab Rat," was designed to demonstrate the simplicity of network modeling and the ability to perform adaptation. The model was tested on real world threat data and demonstrated adaptive and inferential learning behavior. Preliminary results indicate this is a viable approach towards achieving cyber superiority in today's volatile, uncertain, complex and ambiguous (VUCA) environment.

  1. An approach toward fast gradient-based image segmentation.

    Science.gov (United States)

    Hell, Benjamin; Kassubeck, Marc; Bauszat, Pablo; Eisemann, Martin; Magnor, Marcus

    2015-09-01

    In this paper, we present and investigate an approach to fast multilabel color image segmentation using convex optimization techniques. The presented model is in some ways related to the well-known Mumford-Shah model, but deviates in certain important aspects. The optimization problem has been designed with two goals in mind. The objective function should represent fundamental concepts of image segmentation, such as incorporation of weighted curve length and variation of intensity in the segmented regions, while allowing transformation into a convex concave saddle point problem that is computationally inexpensive to solve. This paper introduces such a model, the nontrivial transformation of this model into a convex-concave saddle point problem, and the numerical treatment of the problem. We evaluate our approach by applying our algorithm to various images and show that our results are competitive in terms of quality at unprecedentedly low computation times. Our algorithm allows high-quality segmentation of megapixel images in a few seconds and achieves interactive performance for low resolution images.

  2. A Novel Synchronization-Based Approach for Functional Connectivity Analysis

    Directory of Open Access Journals (Sweden)

    Angela Lombardi

    2017-01-01

    Full Text Available Complex network analysis has become a gold standard to investigate functional connectivity in the human brain. Popular approaches for quantifying functional coupling between fMRI time series are linear zero-lag correlation methods; however, they might reveal only partial aspects of the functional links between brain areas. In this work, we propose a novel approach for assessing functional coupling between fMRI time series and constructing functional brain networks. A phase space framework is used to map couples of signals exploiting their cross recurrence plots (CRPs to compare the trajectories of the interacting systems. A synchronization metric is extracted from the CRP to assess the coupling behavior of the time series. Since the functional communities of a healthy population are expected to be highly consistent for the same task, we defined functional networks of task-related fMRI data of a cohort of healthy subjects and applied a modularity algorithm in order to determine the community structures of the networks. The within-group similarity of communities is evaluated to verify whether such new metric is robust enough against noise. The synchronization metric is also compared with Pearson’s correlation coefficient and the detected communities seem to better reflect the functional brain organization during the specific task.

  3. A Grid-Based Motion Planning Approach for Coherent Groups

    Directory of Open Access Journals (Sweden)

    Yue-wen Fu

    2014-01-01

    Full Text Available This paper presents a novel motion planning approach for coherent groups with constant area, and it integrates C-L method into the probabilistic roadmap algorithm with sampling on the medial axis (MAPRM. In the preprocessing phase, the group is discretized into a grid-set which represents the configuration of the group. Then, a number of samples are generated on workspace by medial axis technique. These samples are extended into group’s configuration nodes of the roadmap using an extending strategy. Also, the group's deformation degree relative to the desired shape is introduced to improve the evaluation function. It gives users more flexibility to determine the respective weights of the group’s deformation degree and its distance to the goal in the query phase. After that, a novel local planner is constructed to connect any two neighbor configurations by using C-L method and the improved evaluation function. Experiments show that our approach is able to find paths for the coherent group efficiently and keep its area invariant when moving toward the goal.

  4. Exposure to BPA in Children—Media-Based and Biomonitoring-Based Approaches

    Directory of Open Access Journals (Sweden)

    Krista L.Y. Christensen

    2014-04-01

    Full Text Available Bisphenol A (BPA is used in numerous industrial and consumer product applications resulting in ubiquitous exposure. Children’s exposure is of particular concern because of evidence of developmental effects. Childhood exposure is estimated for different age groups in two ways. The “forward” approach uses information on BPA concentrations in food and other environmental media (air, water, etc. combined with average contact rates for each medium. The “backward” approach relies on urinary biomonitoring, extrapolating backward to the intake which would have led to the observed biomarker level. The forward analysis shows that BPA intakes are dominated by canned food consumption, and that intakes are higher for younger ages. Mean intake estimates ranged from ~125 ng/kg-day for 1 year-olds to ~73 ng/kg-day among 16–20 years olds. Biomonitoring-based intakes show the same trend of lower intakes for older children, with an estimate of 121 (median to 153 (mean ng/kg-day for 2–6 years, compared with 33 (median to 53–66 (mean ng/kg-day for 16–20 years. Infant intakes were estimated to range from ~46 to 137 ng/kg-day. Recognizing uncertainties and limitations, this analysis suggests that the “forward” and “backward” methods provide comparable results and identify canned foods as a potentially important source of BPA exposure for children.

  5. A Vision-Based Approach to Fire Detection

    Directory of Open Access Journals (Sweden)

    Pedro Gomes

    2014-09-01

    Full Text Available This paper presents a vision-based method for fire detection from fixed surveillance smart cameras. The method integrates several well-known techniques properly adapted to cope with the challenges related to the actual deployment of the vision system. Concretely, background subtraction is performed with a context-based learning mechanism so as to attain higher accuracy and robustness. The computational cost of a frequency analysis of potential fire regions is reduced by means of focusing its operation with an attentive mechanism. For fast discrimination between fire regions and fire-coloured moving objects, a new colour-based model of fire's appearance and a new wavelet-based model of fire's frequency signature are proposed. To reduce the false alarm rate due to the presence of fire-coloured moving objects, the category and behaviour of each moving object is taken into account in the decision-making. To estimate the expected object's size in the image plane and to generate geo-referenced alarms, the camera-world mapping is approximated with a GPS-based calibration process. Experimental results demonstrate the ability of the proposed method to detect fires with an average success rate of 93.1% at a processing rate of 10 Hz, which is often sufficient for real-life applications.

  6. Trait-based approaches in plant ecology - towards a theory of form and function

    OpenAIRE

    Falster, Daniel

    2013-01-01

    Talk presented at the workshop "Trait-based approaches to Ocean Life", held in Copenhagen (Denmark) from 26-28 August 2013 at the Royal Danish Academy of Sciences and Letters (H.C. Andersens Boulevard 35, Copenhagen, Denmark). The workshop was organised by the Centre for Ocean Life. I was invited to give an overview of trait based approaches in plant ecology.

  7. Use of the Genre-Based Approach to Teach Expository Essays to English Pedagogy Students

    Science.gov (United States)

    Gómez Burgos, Eric

    2017-01-01

    The following article reports the results of an action research project conducted in a public university in Chile. The project consisted of exposing ten undergraduate students from an English pedagogy program to a genre-based approach to writing expository essays. During eight weeks the three stages of the genre-based approach, namely:…

  8. An Asset-Based Approach in Career Facilitation: Lessons for Higher Education Training

    Science.gov (United States)

    Coetzee, S.; Ebersohn, L.; Ferreira, R.

    2009-01-01

    This exploratory and descriptive study investigated the use of the asset-based approach in career facilitation in South Africa. Five adolescents (3 females and 2 males) aged 16 to 18 years participated. An intervention study following a qualitative approach was conducted. We developed and implemented an asset-based career facilitation intervention…

  9. Students Perspective of Using Content-Based Approach in ESP Class

    Science.gov (United States)

    Yang, Ju Yin; Chen, Wen Ching

    2015-01-01

    The purpose of this study is to understand the perspectives of using content-based approach on college students in International Trade Business English (ITBE) Class. Content-based Approach (CBA) viewed as language learning with contents for academic subject matter. It provides a cognitive and motivational basis of language learning. CBA approach…

  10. Impact of Care Pathway-Based Approach on Outcomes in a Specialist Intellectual Disability Inpatient Unit

    Science.gov (United States)

    Devapriam, John; Alexander, Regi; Gumber, Rohit; Pither, Judith; Gangadharan, Satheesh

    2014-01-01

    Specialist intellectual disability inpatient units have come under increased scrutiny, leading to questions about the quality of service provision in this sector. A care pathway-based approach was implemented in such a unit and its impact on outcome variables was measured. The care pathway-based approach resulted in the turnover of more patients,…

  11. Developing Students' Ideas about Lens Imaging: Teaching Experiments with an Image-Based Approach

    Science.gov (United States)

    Grusche, Sascha

    2017-01-01

    Lens imaging is a classic topic in physics education. To guide students from their holistic viewpoint to the scientists' analytic viewpoint, an image-based approach to lens imaging has recently been proposed. To study the effect of the image-based approach on undergraduate students' ideas, teaching experiments are performed and evaluated using…

  12. The role of hazard- and risk-based approaches in ensuring food safety

    NARCIS (Netherlands)

    Barlow, S.M.; Boobis, A.R.; Bridges, J.; Cockburn, A.; Dekant, W.; Hepburn, P.; Houben, G.F.; König, J.; Nauta, M.J.; Schuermans, J.; Bánáti, D.

    2015-01-01

    Background: Food legislation in the European Union and elsewhere includes both hazard- and risk-based approaches for ensuring safety. In hazard-based approaches, simply the presence of a potentially harmful agent at a detectable level in food is used as a basis for legislation and/or risk management

  13. Method for secure electronic voting system: face recognition based approach

    Science.gov (United States)

    Alim, M. Affan; Baig, Misbah M.; Mehboob, Shahzain; Naseem, Imran

    2017-06-01

    In this paper, we propose a framework for low cost secure electronic voting system based on face recognition. Essentially Local Binary Pattern (LBP) is used for face feature characterization in texture format followed by chi-square distribution is used for image classification. Two parallel systems are developed based on smart phone and web applications for face learning and verification modules. The proposed system has two tire security levels by using person ID followed by face verification. Essentially class specific threshold is associated for controlling the security level of face verification. Our system is evaluated three standard databases and one real home based database and achieve the satisfactory recognition accuracies. Consequently our propose system provides secure, hassle free voting system and less intrusive compare with other biometrics.

  14. Team-Based Learning: A New Approach Toward Improving Education.

    Science.gov (United States)

    Rezaee, Rita; Moadeb, Neda; Shokrpour, Nasrin

    2016-10-01

     Team-based learning is designed to provide students with both conceptual and procedural knowledge, aiming to enhance active learning and critical thinking. In the present study, team-based learning and lecture methods in teaching the "hospital organization and management" course among hospital management students were compared. This quasi-experimental study was conducted on 25 undergraduate students of management. Teaching sessions were divided into two parts. The first part was taught with interactive lectures and the second part with team-based learning method. The students' knowledge was measured before, immediately and two months (late post-test) after teaching. Finally, the mean scores of the final exam and students' satisfaction towards the methods of teaching were measured. There was an improvement in test scores of the students after the TBL sessions when compared to the test scores after lecture sessions (Papproach allowed us to create an active learning environment that contributed to the improvement of the students' performances.

  15. Applications of Landsat data and the data base approach

    Science.gov (United States)

    Lauer, D.T.

    1986-01-01

    A generalized methodology for applying digital Landsat data to resource inventory and assessment tasks is currently being used by several bureaux and agencies within the US Department of the Interior. The methodology includes definition of project objectives and output, identification of source materials, construction of the digital data base, performance of computer-assisted analyses, and generation of output. The USGS, Bureau of Land Management, US Fish and Wildlife Service, Bureau of Indian Affairs, Bureau of Reclamation, and National Park Service have used this generalized methodology to assemble comprehensive digital data bases for resource management. Advanced information processing techniques have been applied to these data bases for making regional environmental surveys on millions of acres of public lands at costs ranging from $0.01 to $0.08 an acre.-Author

  16. Inverse Reliability Task: Artificial Neural Networks and Reliability-Based Optimization Approaches

    OpenAIRE

    Lehký, David; Slowik, Ondřej; Novák, Drahomír

    2014-01-01

    Part 7: Genetic Algorithms; International audience; The paper presents two alternative approaches to solve inverse reliability task – to determine the design parameters to achieve desired target reliabilities. The first approach is based on utilization of artificial neural networks and small-sample simulation Latin hypercube sampling. The second approach considers inverse reliability task as reliability-based optimization task using double-loop method and also small-sample simulation. Efficie...

  17. High-throughput physically based approach for mammalian cell encapsulation

    Science.gov (United States)

    Yu, Jiashing; Wu, Po-Chen; Huang, Chi-Hui; Yang, Chung-Yao; Cheng, Chao-Min

    2013-10-01

    Herein, we wish to tear down the traditional boundaries between physics and life sciences by demonstrating a physically based, flow-focusing method to encapsulate mammalian cells into alginate-based microspheres in a very short period of time. We paid particular attention to the physical properties of the alginate solution as it was critical to create a physiologically relevant environment within the alginate microspheres. The cells we cultured when re-culturing them on Petri dishes could still be maintained for at least 4 days after microsphere encapsulation. We believe that this study would provide interesting insight in biophysics, polymer physics, and applied physics.

  18. One Piece Orbitozygomatic Approach Based on the Sphenoid Ridge Keyhole

    DEFF Research Database (Denmark)

    Spiriev, Toma; Poulsgaard, Lars; Fugleholm, Kåre

    2016-01-01

    ridge. It was located 22 mm (standard deviation [SD], 0.22 mm) from the superior temporal line; 10.7 mm (SD, 0.08 mm) posterior and 7.1 mm (SD, 0.22 mm) inferior to the frontozygomatic suture. The sphenoid ridge burr hole provides exposure of frontal, temporal dura as well as periorbita, which...... was examined on 20 anatomical dry skull specimens. The results were applied to one-piece OZ approaches performed on freshly frozen cadaver heads. We defined the center of the sphenoid ridge keyhole as a superficial projection on the lateral skull surface of the most anterior and thickest part of the sphenoid...... the usual placement of the McCarty keyhole, with comparative exposure....

  19. Human Metabolic Enzymes Deficiency: A Genetic Mutation Based Approach

    Directory of Open Access Journals (Sweden)

    Swati Chaturvedi

    2016-01-01

    Full Text Available One of the extreme challenges in biology is to ameliorate the understanding of the mechanisms which emphasize metabolic enzyme deficiency (MED and how these pretend to have influence on human health. However, it has been manifested that MED could be either inherited as inborn error of metabolism (IEM or acquired, which carries a high risk of interrupted biochemical reactions. Enzyme deficiency results in accumulation of toxic compounds that may disrupt normal organ functions and cause failure in producing crucial biological compounds and other intermediates. The MED related disorders cover widespread clinical presentations and can involve almost any organ system. To sum up the causal factors of almost all the MED-associated disorders, we decided to embark on a less traveled but nonetheless relevant direction, by focusing our attention on associated gene family products, regulation of their expression, genetic mutation, and mutation types. In addition, the review also outlines the clinical presentations as well as diagnostic and therapeutic approaches.

  20. Optimization of decision rules based on dynamic programming approach

    KAUST Repository

    Zielosko, Beata

    2014-01-14

    This chapter is devoted to the study of an extension of dynamic programming approach which allows optimization of approximate decision rules relative to the length and coverage. We introduce an uncertainty measure that is the difference between number of rows in a given decision table and the number of rows labeled with the most common decision for this table divided by the number of rows in the decision table. We fix a threshold γ, such that 0 ≤ γ < 1, and study so-called γ-decision rules (approximate decision rules) that localize rows in subtables which uncertainty is at most γ. Presented algorithm constructs a directed acyclic graph Δ γ T which nodes are subtables of the decision table T given by pairs "attribute = value". The algorithm finishes the partitioning of a subtable when its uncertainty is at most γ. The chapter contains also results of experiments with decision tables from UCI Machine Learning Repository. © 2014 Springer International Publishing Switzerland.

  1. E-learning paradigms and applications agent-based approach

    CERN Document Server

    Jain, Lakhmi

    2014-01-01

    Teaching and learning paradigms have attracted increased attention especially in the last decade. Immense developments of different ICT technologies and services have paved the way for alternative but effective approaches in educational processes. Many concepts of the agent technology, such as intelligence, autonomy, and cooperation, have had a direct positive impact on many of the requests imposed on modern e-learning systems and educational processes. This book presents the state-of-the-art of e-learning and tutoring systems, and discusses their capabilities and benefits that stem from integrating software agents. We hope that the presented work will be of a great use to our colleagues and researchers interested in the e-learning and agent technology.    

  2. Confidence and the stock market: an agent-based approach.

    Science.gov (United States)

    Bertella, Mario A; Pires, Felipe R; Feng, Ling; Stanley, Harry Eugene

    2014-01-01

    Using a behavioral finance approach we study the impact of behavioral bias. We construct an artificial market consisting of fundamentalists and chartists to model the decision-making process of various agents. The agents differ in their strategies for evaluating stock prices, and exhibit differing memory lengths and confidence levels. When we increase the heterogeneity of the strategies used by the agents, in particular the memory lengths, we observe excess volatility and kurtosis, in agreement with real market fluctuations--indicating that agents in real-world financial markets exhibit widely differing memory lengths. We incorporate the behavioral traits of adaptive confidence and observe a positive correlation between average confidence and return rate, indicating that market sentiment is an important driver in price fluctuations. The introduction of market confidence increases price volatility, reflecting the negative effect of irrationality in market behavior.

  3. Facial Emotion Recognition Using Context Based Multimodal Approach

    Directory of Open Access Journals (Sweden)

    Priya Metri

    2011-12-01

    Full Text Available Emotions play a crucial role in person to person interaction. In recent years, there has been a growing interest in improving all aspects of interaction between humans and computers. The ability to understand human emotions is desirable for the computer in several applications especially by observing facial expressions. This paper explores a ways of human-computer interaction that enable the computer to be more aware of the user’s emotional expressions we present a approach for the emotion recognition from a facial expression, hand and body posture. Our model uses multimodal emotion recognition system in which we use two different models for facial expression recognition and for hand and body posture recognition and then combining the result of both classifiers using a third classifier which give the resulting emotion . Multimodal system gives more accurate result than a signal or bimodal system

  4. Different medical data mining approaches based prediction of ischemic stroke.

    Science.gov (United States)

    Arslan, Ahmet Kadir; Colak, Cemil; Sarihan, Mehmet Ediz

    2016-07-01

    Medical data mining (also called knowledge discovery process in medicine) processes for extracting patterns from large datasets. In the current study, we intend to assess different medical data mining approaches to predict ischemic stroke. The collected dataset from Turgut Ozal Medical Centre, Inonu University, Malatya, Turkey, comprised the medical records of 80 patients and 112 healthy individuals with 17 predictors and a target variable. As data mining approaches, support vector machine (SVM), stochastic gradient boosting (SGB) and penalized logistic regression (PLR) were employed. 10-fold cross validation resampling method was utilized, and model performance evaluation metrics were accuracy, area under ROC curve (AUC), sensitivity, specificity, positive predictive value and negative predictive value. The grid search method was used for optimizing tuning parameters of the models. The accuracy values with 95% CI were 0.9789 (0.9470-0.9942) for SVM, 0.9737 (0.9397-0.9914) for SGB and 0.8947 (0.8421-0.9345) for PLR. The AUC values with 95% CI were 0.9783 (0.9569-0.9997) for SVM, 0.9757 (0.9543-0.9970) for SGB and 0.8953 (0.8510-0.9396) for PLR. The results of the current study demonstrated that the SVM produced the best predictive performance compared to the other models according to the majority of evaluation metrics. SVM and SGB models explained in the current study could yield remarkable predictive performance in the classification of ischemic stroke. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  5. The examination of an information-based approach to trust

    NARCIS (Netherlands)

    Verbrugge, Rineke; Sierra, Carles; Debenham, John; Harbers, Maaike; Sichman, JS; Padget, J; Ossowski, S; Noriega, P

    2008-01-01

    This article presents the results of experiments performed with agents based on an operalization of an information-theoretic model for trust. Experiments have been performed with the ART test-bed, a test domain for trust and reputation aiming to provide transparent and recognizable standards. An

  6. Predicting animal production on sourveld: a species-based approach

    African Journals Online (AJOL)

    Presents a simulation model which was developed to predict average daily gain in cattle and sheep grazing different species and swards of different species composition on Dohne Sourveld. The model was based upon measured ingestive and digestive characteristics of different grass species and incorporates an explicit ...

  7. The Project-Based Learning Approach in Environmental Education

    Science.gov (United States)

    Genc, Murat

    2015-01-01

    The purpose of this study is to investigate the effect of project-based learning on students' attitudes toward the environment. In the study that was performed with 39 students who take the "Environmental Education" course, attitude changes toward the environment were investigated in students who developed projects on environmental…

  8. Preparing Teachers for Language Assessment: A Practice-Based Approach

    Science.gov (United States)

    Davin, Kristin J.; Heineke, Amy J.

    2016-01-01

    As the number of English language learners in mainstream classrooms increases, so too does the need for teachers skilled in classroom-based language assessment (CBLA). All teachers must be able to monitor, evaluate, and support the English language development of their students. With a paucity of research on how to prepare teachers to enact…

  9. An Agent-Based Approach to Modeling Online Social Influence

    NARCIS (Netherlands)

    Maanen, P.P. van; Vecht, B. van der

    2013-01-01

    The aim of this study is to better understand social influence in online social media. Therefore, we propose a method in which we implement, validate and improve an individual behavior model. The behavior model is based on three fundamental behavioral principles of social influence from the

  10. Inquiry-Based Approach to Understanding Common Descent

    Science.gov (United States)

    Parker, Monica

    2010-01-01

    In this inquiry-based activity, students catalog external and internal characteristics of four different classes of animals during dissection exercises. On the basis of their accumulated data, students compare and contrast the animals, devise a phylogenetic tree, and provide reasonable characteristics for extinct transitional organisms. (Contains…

  11. A New Design Approach to Game-Based Learning

    Science.gov (United States)

    Larsen, Lasse Juel

    2012-01-01

    This paper puts forward a new design perspective for game-based learning. The general idea is to abandon the long sought-after dream of designing a closed learning system, where students in both primary and secondary school could learn--without the interference of teachers--whatever subject they wanted while sitting in front of a computer. This…

  12. Suprahyoid approach to base-of-tongue squamous cell carcinoma

    African Journals Online (AJOL)

    otolaryngologist. Management of base-of-tongue squamous cell carcinoma is controversial.3,4 Traditional therapeutic options include surgery alone, radiotherapy alone (external beam with or without brachytherapy) or multimodality treatment. Aggressive chemoradiation protocols are not commonly used in developing ...

  13. Reverse breeding: a novel breeding approach based on engineered meiosis

    NARCIS (Netherlands)

    Dirks, R.; Dun, van K.P.M.; Snoo, de B.; Berg, van den M.; Lelivelt, C.L.C.; Voermans, W.; Woudenberg, L.; Wit, de J.P.C.; Reinink, K.; Schut, J.W.; Jong, de J.H.S.G.M.; Wijnker, T.G.

    2009-01-01

    Reverse breeding (RB) is a novel plant breeding technique designed to directly produce parental lines for any heterozygous plant, one of the most sought after goals in plant breeding. RB generates perfectly complementing homozygous parental lines through engineered meiosis. The method is based on

  14. Optimization based tuning approach for offset free MPC

    DEFF Research Database (Denmark)

    Olesen, Daniel Haugård; Huusom, Jakob Kjøbsted; Jørgensen, John Bagterp

    2012-01-01

    We present an optimization based tuning procedure with certain robustness properties for an offset free Model Predictive Controller (MPC). The MPC is designed for multivariate processes that can be represented by an ARX model. The advantage of ARX model representations is that standard system ide...

  15. Sensitivity based reduced approaches for structural reliability analysis

    Indian Academy of Sciences (India)

    The difficulty in computing the failure probability increases rapidly with the number of variables. In this paper, a ... Based on the sensitivity of the failure surface, three new reduction methods, namely ... Department of Aerospace Engineering, School of Engineering, Swansea University, Singleton Park, Swansea SA2 8PP, UK ...

  16. Planning Education: Exchanging Approaches to Teaching Practice-Based Skills

    Science.gov (United States)

    Ritchie, Heather; Sheppard, Adam; Croft, Nick; Peel, Deborah

    2017-01-01

    Planning curricula have continually evolved to meet changing societal needs, technological change and employer expectations. The professional accrediting body in the United Kingdom, the Royal Town Planning Institute, stipulates the core planning skills required, differentiating between formal classroom-based learning and professional competencies,…

  17. Dirac cones beyond the honeycomb lattice : a symmetry based approach

    NARCIS (Netherlands)

    Miert, G. van; de Morais Smith, Cristiane

    2016-01-01

    Recently, several new materials exhibiting massless Dirac fermions have been proposed. However, many of these do not have the typical graphene honeycomb lattice, which is often associated with Dirac cones. Here, we present a classification of these different two-dimensional Dirac systems based on

  18. Approaching Factors and Dimensions with Explanation-Based Argumentation

    NARCIS (Netherlands)

    Sileno, G.; Boer, A.; van Engers, T.

    2014-01-01

    Current research in legal argumentation theory tries to bridge the gap be-tween representations of the arguments brought by parties, and representations of factors and dimensions, as used in case-based reasoning frameworks. The present paper targets the same objective, but taking an alternative

  19. A computationally efficient approach for template matching-based ...

    Indian Academy of Sciences (India)

    process is extensively useful in computer vision, medical imaging, automatic target recognition in military and analyzing the remote images obtained from the satellites (Zitová & Flusser 2003). In the last 10 years, many image registration methods have been proposed which are broadly classified into feature-based ...

  20. Designing Science Learning with Game-Based Approaches

    Science.gov (United States)

    Liu, Min; Rosenblum, Jason A.; Horton, Lucas; Kang, Jina

    2014-01-01

    Given the growing popularity of digital games as a form of entertainment, educators are interested in exploring using digital games as a tool to facilitate learning. In this study, we examine game-based learning by describing a learning environment that combines game elements, play, and authenticity in the real world for the purpose of engaging…

  1. Simulation of quantum computation : A deterministic event-based approach

    NARCIS (Netherlands)

    Michielsen, K; De Raedt, K; De Raedt, H

    We demonstrate that locally connected networks of machines that have primitive learning capabilities can be used to perform a deterministic, event-based simulation of quantum computation. We present simulation results for basic quantum operations such as the Hadamard and the controlled-NOT gate, and

  2. Simulation of Quantum Computation : A Deterministic Event-Based Approach

    NARCIS (Netherlands)

    Michielsen, K.; Raedt, K. De; Raedt, H. De

    2005-01-01

    We demonstrate that locally connected networks of machines that have primitive learning capabilities can be used to perform a deterministic, event-based simulation of quantum computation. We present simulation results for basic quantum operations such as the Hadamard and the controlled-NOT gate, and

  3. School Counseling Site Supervisor Training: A Web-Based Approach

    Science.gov (United States)

    Swank, Jacqueline M.; Tyson, Lawrence

    2012-01-01

    A need exists for training school counseling site supervisors in providing clinical supervision to school counseling practicum and internship students. This article outlines a Web-based training program containing six modules to assist counselor education programs in educating school counseling site supervisors. The authors also address the…

  4. Evidence based medicine, an innovative approach to an old practice ...

    African Journals Online (AJOL)

    Evidence-based medicine (EBM) is a rapidly expanding subject. The aim of this editorial is to give an overview and address some of the practical issues relevant to the developing world. EBM may be defined as the conscientious, explicit and judicious use of current best evidence in making decisions about the care of ...

  5. Features fusion based approach for handwritten Gujarati character recognition

    Directory of Open Access Journals (Sweden)

    Ankit Sharma

    2017-02-01

    Full Text Available Handwritten character recognition is a challenging area of research. Lots of research activities in the area of character recognition are already done for Indian languages such as Hindi, Bangla, Kannada, Tamil and Telugu. Literature review on handwritten character recognition indicates that in comparison with other Indian scripts research activities on Gujarati handwritten character recognition are very less.  This paper aims to bring Gujarati character recognition in attention. Recognition of isolated Gujarati handwritten characters is proposed using three different kinds of features and their fusion. Chain code based, zone based and projection profiles based features are utilized as individual features. One of the significant contribution of proposed work is towards the generation of large and representative dataset of 88,000 handwritten Gujarati characters. Experiments are carried out on this developed dataset. Artificial Neural Network (ANN, Support Vector Machine (SVM and Naive Bayes (NB classifier based methods are implemented for handwritten Gujarati character recognition. Experimental results show substantial enhancement over state-of-the-art and authenticate our proposals.

  6. Information-Based Approach to Unsupervised Machine Learning

    Science.gov (United States)

    2013-06-19

    is called the quadratic as- signment problem ( QAP ) (Finke et al., 1987), and it is known to be NP-hard. There exists several QAP solvers based on...e.g., simulated annealing, tabu search, and genetic algorithms. However, those QAP solvers are not easy to use in practice since they con- tain various

  7. Customer complaints and recovery effectiveness : A customer base approach

    NARCIS (Netherlands)

    Knox, G.; van Oest, R.D.

    2014-01-01

    Although customer complaints are a well-studied aspect of business, no study has measured the impact of actual complaints and recoveries on subsequent customer purchasing. The authors develop a customer base model to investigate the effectiveness of recovery in preventing customer churn. They

  8. Sustainability and urban density a decision based design approach

    NARCIS (Netherlands)

    Van Loon, P.P.; De Graaf, R.

    2011-01-01

    This paper concerns the definition, construction and application of a decision based design model which able the integration of the allocation of a variety of urban land uses with the distribution of different urban densities, in particular of residential urban areas. Urban planning is, among others

  9. The dynamics of a usage-based approach

    NARCIS (Netherlands)

    Verspoor, Marjolijn; Daems, Jocelyn; Zenner, Eline; Heylen, Kris; Speelman, Dirk; Cuyckens, Hubert

    2015-01-01

    This contribution seeks to connect usage based linguistics with dynamic systems theory, in particular as applied by Edelman (1989) and Thelen and Smith (1994). Edelman’s dynamic biological system starts off with a few simple sub-systems (perception, action, value), all of which interacting with each

  10. Radiation induced base excision repair (BER): a mechanistic mathematical approach.

    Science.gov (United States)

    Rahmanian, Shirin; Taleei, Reza; Nikjoo, Hooshang

    2014-10-01

    This paper presents a mechanistic model of base excision repair (BER) pathway for the repair of single-stand breaks (SSBs) and oxidized base lesions produced by ionizing radiation (IR). The model is based on law of mass action kinetics to translate the biochemical processes involved, step-by-step, in the BER pathway to translate into mathematical equations. The BER is divided into two subpathways, short-patch repair (SPR) and long-patch repair (LPR). SPR involves in replacement of single nucleotide via Pol β and ligation of the ends via XRCC1 and Ligase III, while LPR involves in replacement of multiple nucleotides via PCNA, Pol δ/ɛ and FEN 1, and ligation via Ligase I. A hallmark of IR is the production of closely spaced lesions within a turn of DNA helix (named complex lesions), which have been attributed to a slower repair process. The model presented considers fast and slow component of BER kinetics by assigning SPR for simple lesions and LPR for complex lesions. In the absence of in vivo reaction rate constants for the BER proteins, we have deduced a set of rate constants based on different published experimental measurements including accumulation kinetics obtained from UVA irradiation, overall SSB repair kinetic experiments, and overall BER kinetics from live-cell imaging experiments. The model was further used to calculate the repair kinetics of complex base lesions via the LPR subpathway and compared to foci kinetic experiments for cells irradiated with γ rays, Si, and Fe ions. The model calculation show good agreement with experimental measurements for both overall repair and repair of complex lesions. Furthermore, using the model we explored different mechanisms responsible for inhibition of repair when higher LET and HZE particles are used and concluded that increasing the damage complexity can inhibit initiation of LPR after the AP site removal step in BER. Copyright © 2014 Elsevier B.V. All rights reserved.

  11. Evaluation of acid-base status in patients admitted to ED-physicochemical vs traditional approaches.

    Science.gov (United States)

    Antonogiannaki, Elvira-Markela; Mitrouska, Ioanna; Amargianitakis, Vassilis; Georgopoulos, Dimitris

    2015-03-01

    The aim of this study is to evaluate the value of physicochemical, base excess (BE), and plasma bicarbonate concentration ([HCO3(-)]) approaches on the assessment of acid-base status in patients presented to the emergency department (ED). Upon presentation at ED, patients whose arterial blood was deemed in need of analysis were studied. Arterial blood gases, serum electrolytes, and proteins were measured and used to derive [HCO3(-)], BE, anion gap (AG), AG adjusted for albumin (AGadj), strong ion difference, strong ion gap (SIG) and SIG corrected for water excess/deficit (SIGcor). In each patient the acid-base status was evaluated using the BE, [HCO3(-)], and physicochemical approaches. A total of 365 patients were studied. Compared with BE (n = 202) and [HCO3(-)] (n = 151), physicochemical approach (n = 279) identified significantly more patients with metabolic acid-base disturbances (P physicochemical approach. The corresponding values with [HCO3(-)] approach were 108 and 95 (88%) patients. When patients with high AGadj were excluded, 44 patients with BE and 67 with [HCO3(-)] approach had normal acid-base status, and most of them exhibited at least 1 acid-base disturbance with the physicochemical approach, whereas 12 and 21 patients, respectively, had high SIGcor. Compared with the BE and [HCO3(-)] methods, the physicochemical approach has a better diagnostic accuracy to identify metabolic acid-base disturbances. Copyright © 2014 Elsevier Inc. All rights reserved.

  12. Computer aided fixture design - A case based approach

    Science.gov (United States)

    Tanji, Shekhar; Raiker, Saiesh; Mathew, Arun Tom

    2017-11-01

    Automated fixture design plays important role in process planning and integration of CAD and CAM. An automated fixture setup design system is developed where when fixturing surfaces and points are described allowing modular fixture components to get automatically select for generating fixture units and placed into position with satisfying assembled conditions. In past, various knowledge based system have been developed to implement CAFD in practice. In this paper, to obtain an acceptable automated machining fixture design, a case-based reasoning method with developed retrieval system is proposed. Visual Basic (VB) programming language is used in integrating with SolidWorks API (Application programming interface) module for better retrieval procedure reducing computational time. These properties are incorporated in numerical simulation to determine the best fit for practical use.

  13. Screening and Biosensor-Based Approaches for Lung Cancer Detection

    Directory of Open Access Journals (Sweden)

    Lulu Wang

    2017-10-01

    Full Text Available Early diagnosis of lung cancer helps to reduce the cancer death rate significantly. Over the years, investigators worldwide have extensively investigated many screening modalities for lung cancer detection, including computerized tomography, chest X-ray, positron emission tomography, sputum cytology, magnetic resonance imaging and biopsy. However, these techniques are not suitable for patients with other pathologies. Developing a rapid and sensitive technique for early diagnosis of lung cancer is urgently needed. Biosensor-based techniques have been recently recommended as a rapid and cost-effective tool for early diagnosis of lung tumor markers. This paper reviews the recent development in screening and biosensor-based techniques for early lung cancer detection.

  14. Return Migration After Brain Drain: An Agent Based Simulation Approach

    CERN Document Server

    Biondo, A E; Rapisarda, A

    2012-01-01

    The Brain Drain phenomenon is particularly heterogeneous and is characterized by peculiar specifications. It influences the economic fundamentals of both the country of origin and the host one in terms of human capital accumulation. Here, the brain drain is considered from a microeconomic perspective: more precisely we focus on the individual rational decision to return, referring it to the social capital owned by the worker. The presented model, restricted to the case of academic personnel, compares utility levels to justify agent's migration conduct and to simulate several scenarios with a NetLogo agent based model. In particular, we developed a simulation framework based on two fundamental individual features, i.e. risk aversion and initial expectation, which characterize the dynamics of different agents according to the random evolution of their personal social networks. Our main result is that, according to the value of risk aversion and initial expectation, the probability of return migration depends on...

  15. A Contradiction-Based Approach for Innovative Product Design

    Directory of Open Access Journals (Sweden)

    Ko Yao-Tsung

    2016-01-01

    Full Text Available Without creativity in design there is no potential for innovation. This paper investigates the role of contradictions in enhancing creativity in product design. Based on the inventive principles of TRIZ, this paper presents a novel design method by integrating technical and physical contradiction analysis methods into the conceptual design activities of new product development (NPD. Despite the recognized importance of innovative design, there is a lack of the systematic and effective design-thinking process that can covers all conceptual design activities. To address this gap, a sharper and fundamental model of the problem-solving is created for innovative product design based on the contradiction-oriented concept. Eventually, one case study is employed to illustrate the method and the result validates that it can help designers produce more creative outcomes in product design.

  16. Aquaporin-Based Biomimetic Polymeric Membranes: Approaches and Challenges

    Science.gov (United States)

    Habel, Joachim; Hansen, Michael; Kynde, Søren; Larsen, Nanna; Midtgaard, Søren Roi; Jensen, Grethe Vestergaard; Bomholt, Julie; Ogbonna, Anayo; Almdal, Kristoffer; Schulz, Alexander; Hélix-Nielsen, Claus

    2015-01-01

    In recent years, aquaporin biomimetic membranes (ABMs) for water separation have gained considerable interest. Although the first ABMs are commercially available, there are still many challenges associated with further ABM development. Here, we discuss the interplay of the main components of ABMs: aquaporin proteins (AQPs), block copolymers for AQP reconstitution, and polymer-based supporting structures. First, we briefly cover challenges and review recent developments in understanding the interplay between AQP and block copolymers. Second, we review some experimental characterization methods for investigating AQP incorporation including freeze-fracture transmission electron microscopy, fluorescence correlation spectroscopy, stopped-flow light scattering, and small-angle X-ray scattering. Third, we focus on recent efforts in embedding reconstituted AQPs in membrane designs that are based on conventional thin film interfacial polymerization techniques. Finally, we describe some new developments in interfacial polymerization using polyhedral oligomeric silsesquioxane cages for increasing the physical and chemical durability of thin film composite membranes. PMID:26264033

  17. A physically-based approach for lens flare simulation

    OpenAIRE

    Keshmirian, Arash

    2008-01-01

    In this thesis, we present a physically-based method for the computer graphics simulation of lens flare phenomena in photographic lenses. The proposed method can be used to render lens flares from nearly all types of lenses regardless of optical construction. The method described in this thesis utilizes the photon mapping technique (Jensen, 2001) to simulate the flow of light within the lens, and captures the visual effects of internal reflections and scattering within (and between) the optic...

  18. MARTE based modeling approach for Partial Dynamic Reconfigurable FPGAs

    OpenAIRE

    Quadri, Imran Rafiq; Meftali, Samy; Dekeyser, Jean-Luc

    2008-01-01

    International audience; As System-on-Chip (SoC) architectures become pivotal for designing embedded systems, the SoC design complexity continues to increase exponentially necessitating the need to find new design methodologies. In this paper we present a novel SoC co-design methodology based on Model Driven Engineering using the MARTE (Modeling and Analysis of Real-time and Embedded Systems) standard. This methodology is utilized to model fine grain reconfigurable architectures such as FPGAs ...

  19. An Educational Approach to Problem-based Learning

    Directory of Open Access Journals (Sweden)

    Nan-Chieh Chen

    2008-03-01

    Full Text Available This paper provides an analysis of the educational framework of problem-based learning (PBL. As known and used, PBL finds its root in the Structuralism and Pragmatism schools of philosophy. In this paper, the three main requirements of PBL, namely learning by doing, learning in context, and focusing on the student, are discussed within the context of these two schools of thought. Given these attributes, PBL also seems ideally suited for use in learning bioethics.

  20. Innovative regulatory approach for synthetic-based muds.

    Energy Technology Data Exchange (ETDEWEB)

    Veil, J. A.

    1998-10-22

    The oil and gas industry has historically used water-based muds (WBMs) and oil-based muds (OBMs) in offshore drilling operations. WBMs are less expensive and are widely used. Both the WBMs and the associated drill cuttings maybe discharged from the platform to the sea provided that U.S. Environmental Protection Agency (EPA) discharge limitations are met. In some wells, however, difficult drilling conditions may force a switch from a WBM to an OBM. Neither the OBM nor the associated drill cuttings may be discharged. The OBM is hauled to shore, where it is processed for reuse, while the associated cuttings are injected in a disposal well at the platform or hauled to shore to a disposal facility. Both of these options are expensive. Synthetic-based muds (SBMs) are drilling fluids that use synthetic organic chemicals as base fluids. SBMs were developed to replace OBMs in difficult drilling situations. SBMs are more expensive than OBMs; however, they have superior environmental properties that may permit the cuttings to be discharged on-site. Like OBMs, SBMs are hauled ashore for processing and reuse after the well is drilled. The existing national effluent limitations guidelines (ELGs) for the offshore industry do not include requirements for SBM-cuttings since SBMs were not commonly in use at the time the ELGs were adopted. In late 1997, EPA announced that it would modify the offshore ELGs to include requirements for discharges of cuttings drilled with SBMs. For the first time in the history of the ELG program, EPA is following an innovative presumptive rulemaking process that will lead to development of draft regulations in one year rather than the 4- to 6-year period usually needed. With direction from the federal government to stakeholders concerning information needs for the regulatory development the industry has established several working groups to collect new scientific information on SBMs. This paper describes the presumptive rulemaking process and summarizes

  1. Toward a Political Economy Approach to Policy-based Lending

    OpenAIRE

    Abonyi, George

    2002-01-01

    "The paper identifies a set of core concepts that reflect key "political economy" factors shaping the policy reform process that can assist in guiding the policy-based lending (PBL) design process. It discusses the recurring themes that constrain the effectiveness of PBL, reviews from a political economy perspective the PBL experience at the Asian Development Bank (ADB) and elsewhere, and identifies some outstanding conceptual issues that would have to be tackled in the future in order to inc...

  2. A Voronoi-Based Reactive Approach for Mobile Robot Navigation

    Science.gov (United States)

    Mohammadi, Shahin; Hazar, Nima

    Robot navigation is a challenging problem in robotics, which involves determining of robot positioning relative to objects in the environment, and also the mobility of robot through obstacles without colliding into them. The former is known as localization, while the latter is called motion planning. This paper introduces a roadmap method for solving motion planning problem in a dynamic environment based on Generalized Voronoi Diagram (GVD). The efficiency of the proceeding work is verified by examining it in a sample home environment.

  3. Graphene Based Terahertz Absorber Designed With Effective Surface Conductivity Approach

    DEFF Research Database (Denmark)

    Andryieuski, Andrei; Pizzocchero, Filippo; Booth, Tim

    Young field of terahertz (THz) science and technology demands new materials and devices, such as filters, modulators, polarization converters and absorbers. Graphene, a recently discovered single-atom-thick material, provides exciting properties for functional terahertz applications. Graphene...... in the working range. We demonstrate the possibility of the absorber bandwidth control with the metamaterial’s unit cell geometry. The results of fabrication and characterization of the THz graphene metamaterials based absorbers will be presented at the conference....

  4. A Novel Rules Based Approach for Estimating Software Birthmark

    Directory of Open Access Journals (Sweden)

    Shah Nazir

    2015-01-01

    Full Text Available Software birthmark is a unique quality of software to detect software theft. Comparing birthmarks of software can tell us whether a program or software is a copy of another. Software theft and piracy are rapidly increasing problems of copying, stealing, and misusing the software without proper permission, as mentioned in the desired license agreement. The estimation of birthmark can play a key role in understanding the effectiveness of a birthmark. In this paper, a new technique is presented to evaluate and estimate software birthmark based on the two most sought-after properties of birthmarks, that is, credibility and resilience. For this purpose, the concept of soft computing such as probabilistic and fuzzy computing has been taken into account and fuzzy logic is used to estimate properties of birthmark. The proposed fuzzy rule based technique is validated through a case study and the results show that the technique is successful in assessing the specified properties of the birthmark, its resilience and credibility. This, in turn, shows how much effort will be required to detect the originality of the software based on its birthmark.

  5. The Short Infinitive in Slovene: A Corpus-based Approach

    Directory of Open Access Journals (Sweden)

    Sara Može

    2013-05-01

    Full Text Available The article presents the results of an in-depth, corpus-based study on the use of the short and long infinitive in Slovene. After a few introductory remarks followed by a brief theoretical overview of the topic, a categorised list of problematic infinitive structures based upon a previously performed analysis of Šolar, a corpus of student texts, is provided. Šolar’s data gave insight into the whole range of linguistic problems associated with the use of two forms and allowed for the subject of the study, i.e. ‘full verb + infinitival complement’ structures, to be precisely defined. The following section describes the method used to compile a shortlist of high-frequency full verbs co-occurring with infinitival complements from the half-million-word, morphosyntactically and syntactically annotated training corpus that was created within the Communication in Slovene project. Finally, the co-relation between genre, mode and the use of the two forms is examined in detail; based on a quantitative analysis of data extracted from corpora of written (FidaPLUS and spoken language (GOS for each full verb on the shortlist, new findings on the actual use of the short and long infinitive in both written and spoken texts are presented.

  6. Modelling of robotic work cells using agent based-approach

    Science.gov (United States)

    Sękala, A.; Banaś, W.; Gwiazda, A.; Monica, Z.; Kost, G.; Hryniewicz, P.

    2016-08-01

    In the case of modern manufacturing systems the requirements, both according the scope and according characteristics of technical procedures are dynamically changing. This results in production system organization inability to keep up with changes in a market demand. Accordingly, there is a need for new design methods, characterized, on the one hand with a high efficiency and on the other with the adequate level of the generated organizational solutions. One of the tools that could be used for this purpose is the concept of agent systems. These systems are the tools of artificial intelligence. They allow assigning to agents the proper domains of procedures and knowledge so that they represent in a self-organizing system of an agent environment, components of a real system. The agent-based system for modelling robotic work cell should be designed taking into consideration many limitations considered with the characteristic of this production unit. It is possible to distinguish some grouped of structural components that constitute such a system. This confirms the structural complexity of a work cell as a specific production system. So it is necessary to develop agents depicting various aspects of the work cell structure. The main groups of agents that are used to model a robotic work cell should at least include next pattern representatives: machine tool agents, auxiliary equipment agents, robots agents, transport equipment agents, organizational agents as well as data and knowledge bases agents. In this way it is possible to create the holarchy of the agent-based system.

  7. Narrative Based Medicine and Neonatology: an interpretative approach

    Directory of Open Access Journals (Sweden)

    Massimiliano Zonza

    2012-10-01

    Full Text Available The use of Evidence Based Medicine (EBM has progressively lead doctors to focus their practice on the disease and not on the patient anymore. They consider a sick body or a sick part rather than a sick person. Such an attitude results in a progressive process of alienation or “unauthentic experience”. On the contrary the Medical Humanities represents a strong reaction to this state of things, and for Medicine a chance to embrace again its humanistic “vocation”. Narrative Based Medicine (NBM places at the center of the clinical practice the communicative and relational dimension. This study deepen the application of NBM to the scope of neonatal care. As a result of our work, we have identified in the NBM applied to the neonatal area a fundamental characteristic, the Neonatal Triangle (doctors, patient, parents, and a triple functionality (diagnostic, ethical and educational placed in three different ideal chronological moments (before, during and after. We explore the close connection between these functions and the clinical work and how the NBM model, through these same functions, enhance the opportunity of care and relationship. The main assumption is obviously the Doctors ability to build a shared narrative relation with the Parents of the little Patients, that in the technical terms of the Narrative Based Medicine is called co-construction of the illness history. We can remark that with the NBM we understand (the narrative frame, build (the therapeutic alliance and share (decisions.

  8. Ozone Measurements Monitoring Using Data-Based Approach

    KAUST Repository

    Harrou, Fouzi

    2016-02-01

    The complexity of ozone (O3) formation mechanisms in the troposphere make the fast and accurate modeling of ozone very challenging. In the absence of a process model, principal component analysis (PCA) has been extensively used as a data-based monitoring technique for highly correlated process variables; however conventional PCA-based detection indices often fail to detect small or moderate anomalies. In this work, we propose an innovative method for detecting small anomalies in highly correlated multivariate data. The developed method combine the multivariate exponentially weighted moving average (MEWMA) monitoring scheme with PCA modelling in order to enhance anomaly detection performance. Such a choice is mainly motivated by the greater ability of the MEWMA monitoring scheme to detect small changes in the process mean. The proposed PCA-based MEWMA monitoring scheme is successfully applied to ozone measurements data collected from Upper Normandy region, France, via the network of air quality monitoring stations. The detection results of the proposed method are compared to that declared by Air Normand air monitoring association.

  9. PCA-based localization approach for segmentation of optic disc.

    Science.gov (United States)

    Gopi, Varun P; Anjali, M S; Niwas, S Issac

    2017-12-01

    The optic disc is the origin of the optic nerve, where the axons of retinal ganglion cells join together. The size, shape and contour of optic disc are used for classification and identification of retinal diseases. Automatic detection of eye disease requires development of an efficient algorithm. This paper proposes an efficient method for optic disc segmentation and detection for the diagnosis of retinal diseases. The methodology involves optic disc localization, blood vessel inpainting and optic disc segmentation. Localization is based on principal component analysis, and segmentation is based on Markov random field segmentation. In order to get reasonable background images, blood vessel inpainting is done before segmentation. The proposed method tested with two standard databases MESSIDOR and DRIVE, and achieved an average overlapping score of 92.41, 92.17%, respectively; also validation experiments were done with one local database from Venu Eye Hospital, New Delhi, and obtained an average overlapping score of 91%. An efficient algorithm is developed for detecting optic disc using principal component analysis-based localization and Markov random field segmentation. The comparison with alternative method yielded results that demonstrate the superiority of the proposed algorithm for optic disc detection.

  10. Minimally important change determined by a visual method integrating an anchor-based and a distribution-based approach.

    NARCIS (Netherlands)

    de Vet, H.C.W.; Ostelo, R.W.J.G.; Terwee, C.B.; van der Roer, N.; Knol, D.L.; Beckerman, H.; Boers, M.; Bouter, L.M.

    2007-01-01

    Background: Minimally important changes (MIC) in scores help interpret results from health status instruments. Various distribution-based and anchor-based approaches have been proposed to assess MIC. Objectives: To describe and apply a visual method, called the anchor-based MIC distribution method,

  11. Quantification of Emphysema: A Bullae Distribution Based Approach

    Science.gov (United States)

    Tan, Kok Liang; Tanaka, Toshiyuki; Nakamura, Hidetoshi; Shirahata, Toru; Sugiura, Hiroaki

    Computed tomography (CT)-based quantifications of emphysema encompass, and are not limited to, the ratio of the low-attenuation area, the bullae size, and the distribution of bullae in the lung. The standard CT-based emphysema describing indices include the mean lung density, the percentage of area of low attenuation [the pixel index (PI)] and the bullae index (BI). These standard emphysema describing indices are not expressive for describing the distribution of bullae in the lung. Consequently, the goal of this paper is to present a new emphysema describing index, the bullae congregation index (BCI), that describes whether bullae gather in a specific area of the lung and form a nearly single mass, and if so, how dense the mass of bullae is in the lung. BCI ranges from zero to ten corresponding to sparsely distributed bullae to densely distributed bullae. BCI is calculated based on the relative distance between every pair of bullae in the lung. The bullae pair distances are sorted into 200 distance classes. A smaller distance class corresponds to a closer proximity between the bullae. BCI is derived by calculating the percentage of the area of bullae in the lung that are separated by a certain distance class. Four bullae congregation classes are defined based on BCI. We evaluate BCI using 114 CT images that are hand-annotated by a radiologist into four bullae congregation classes. The average four-class classification accuracy of BCI is 88.21%. BCI correlates better than PI, BI and other standard statistical dispersion based methods with the radiological consensus-classified bullae congregation class.While BCI is not a specific index for indicating emphysema severity, it complements the existing set of emphysema describing indices to facilitate a more thorough knowledge about the emphysematous conditions in the lung. BCI is especially useful when it comes to comparing the distribution of bullae for cases with approximately the same PI, BI or PI and BI. BCI is easy

  12. Detection of Cardiovascular Anomalies: An Observer-Based Approach

    KAUST Repository

    Ledezma, Fernando

    2012-07-01

    In this thesis, a methodology for the detection of anomalies in the cardiovascular system is presented. The cardiovascular system is one of the most fascinating and complex physiological systems. Nowadays, cardiovascular diseases constitute one of the most important causes of mortality in the world. For instance, an estimate of 17.3 million people died in 2008 from cardiovascular diseases. Therefore, many studies have been devoted to modeling the cardiovascular system in order to better understand its behavior and find new reliable diagnosis techniques. The lumped parameter model of the cardiovascular system proposed in [1] is restructured using a hybrid systems approach in order to include a discrete input vector that represents the influence of the mitral and aortic valves in the different phases of the cardiac cycle. Parting from this model, a Taylor expansion around the nominal values of a vector of parameters is conducted. This expansion serves as the foundation for a component fault detection process to detect changes in the physiological parameters of the cardiovascular system which could be associated with cardiovascular anomalies such as atherosclerosis, aneurysm, high blood pressure, etc. An Extended Kalman Filter is used in order to achieve a joint estimation of the state vector and the changes in the considered parameters. Finally, a bank of filters is, as in [2], used in order to detect the appearance of heart valve diseases, particularly stenosis and regurgitation. The first numerical results obtained are presented.

  13. Network-based approaches to climate knowledge discovery

    Science.gov (United States)

    Budich, Reinhard; Nyberg, Per; Weigel, Tobias

    2011-11-01

    Climate Knowledge Discovery Workshop; Hamburg, Germany, 30 March to 1 April 2011 Do complex networks combined with semantic Web technologies offer the next generation of solutions in climate science? To address this question, a first Climate Knowledge Discovery (CKD) Workshop, hosted by the German Climate Computing Center (Deutsches Klimarechenzentrum (DKRZ)), brought together climate and computer scientists from major American and European laboratories, data centers, and universities, as well as representatives from industry, the broader academic community, and the semantic Web communities. The participants, representing six countries, were concerned with large-scale Earth system modeling and computational data analysis. The motivation for the meeting was the growing problem that climate scientists generate data faster than it can be interpreted and the need to prepare for further exponential data increases. Current analysis approaches are focused primarily on traditional methods, which are best suited for large-scale phenomena and coarse-resolution data sets. The workshop focused on the open discussion of ideas and technologies to provide the next generation of solutions to cope with the increasing data volumes in climate science.

  14. One approach to building an HSA data base.

    Science.gov (United States)

    Thornberry, H N

    1978-10-01

    This paper discusses one approach for Health Systems Agencies to focus their information acquisition and analysis activities on subjects which will be most helpful to them in gaining visibility and credibility, while also offering opportunities for identifying and quantifying the most serious problem confronting them--the rapid rise in health care expenditures. Assembling information on health care expenditures will have the additional benefit of allowing the planning agencies to isolate and monitor the possible effects which their actions may have on changes in health care costs. This may become particularly critical in a few years when the Congress and HEW are less patient and more insistent that evidence of clear cost control benefits will have to be produced if the nation is to continue to invest in health planning. In general, as health care costs have continued to climb, serious questions have been raised about the ability of the taxpayers, employees, and employers, through insurers, to continue to pay for even the health services and benefits now available. At a minimum, severe fiscal pressures will seriously threaten existing entitlements and coverage. Health planning could be a major tool to reduce cost inflation and protect other social and health programs while simultaneously permitting the introduction of needed and desirable innovations. Health planning could be a significant instrument for shifting health system investments, especially capital investments, into those areas which may produce more health at the margin than current expenditures.

  15. Fault Tolerant Control for Civil Structures Based on LMI Approach

    Directory of Open Access Journals (Sweden)

    Chunxu Qu

    2013-01-01

    Full Text Available The control system may lose the performance to suppress the structural vibration due to the faults in sensors or actuators. This paper designs the filter to perform the fault detection and isolation (FDI and then reforms the control strategy to achieve the fault tolerant control (FTC. The dynamic equation of the structure with active mass damper (AMD is first formulated. Then, an estimated system is built to transform the FDI filter design problem to the static gain optimization problem. The gain is designed to minimize the gap between the estimated system and the practical system, which can be calculated by linear matrix inequality (LMI approach. The FDI filter is finally used to isolate the sensor faults and reform the FTC strategy. The efficiency of FDI and FTC is validated by the numerical simulation of a three-story structure with AMD system with the consideration of sensor faults. The results show that the proposed FDI filter can detect the sensor faults and FTC controller can effectively tolerate the faults and suppress the structural vibration.

  16. MACD-Based Motion Detection Approach in Heterogeneous Networks

    Directory of Open Access Journals (Sweden)

    Chen Yung-Mu

    2008-01-01

    Full Text Available Abstract Optimizing the balance between handoff quality and power consumption is a great challenge for seamless mobile communications in wireless networks. Traditional proactive schemes continuously monitor available access networks and exercise handoff. Although such schemes achieve good handoff quality, they consume much power because all interfaces must remain on all the time. To save power, the reactive schemes use fixed RSS thresholds to determine when to search for a new available access network. However, since they do not consider user motion, these approaches require that all interfaces be turned on even when a user is stationary, and they tend initiate excessive unnecessary handoffs. To address this problem, this research presents a novel motion-aware scheme called network discovery with motion detection (NDMD to improve handoff quality and minimize power consumption. The NDMD first applies a moving average convergence divergence (MACD scheme to analyze received signal strength (RSS samples of the current active interface. These results are then used to estimate user's motion. The proposed NDMD scheme adds very little computing overhead to a mobile terminal (MT and can be easily incorporated into existing schemes. The simulation results in this study showed that NDMD can quickly track user motion state without a positioning system and perform network discovery rapidly enough to achieve a much lower handoff-dropping rate with less power consumption.

  17. MACD-Based Motion Detection Approach in Heterogeneous Networks

    Directory of Open Access Journals (Sweden)

    Chih-Hung Hsu

    2008-09-01

    Full Text Available Optimizing the balance between handoff quality and power consumption is a great challenge for seamless mobile communications in wireless networks. Traditional proactive schemes continuously monitor available access networks and exercise handoff. Although such schemes achieve good handoff quality, they consume much power because all interfaces must remain on all the time. To save power, the reactive schemes use fixed RSS thresholds to determine when to search for a new available access network. However, since they do not consider user motion, these approaches require that all interfaces be turned on even when a user is stationary, and they tend initiate excessive unnecessary handoffs. To address this problem, this research presents a novel motion-aware scheme called network discovery with motion detection (NDMD to improve handoff quality and minimize power consumption. The NDMD first applies a moving average convergence divergence (MACD scheme to analyze received signal strength (RSS samples of the current active interface. These results are then used to estimate user's motion. The proposed NDMD scheme adds very little computing overhead to a mobile terminal (MT and can be easily incorporated into existing schemes. The simulation results in this study showed that NDMD can quickly track user motion state without a positioning system and perform network discovery rapidly enough to achieve a much lower handoff-dropping rate with less power consumption.

  18. Crime Forecasting System (An exploratory web-based approach

    Directory of Open Access Journals (Sweden)

    Yaseen Ahmed Meenai

    2011-08-01

    Full Text Available With the continuous rise in crimes in some big cities of the world like Karachi and the increasing complexity of these crimes, the difficulties the law enforcing agencies are facing in tracking down and taking out culprits have increased manifold. To help cut back the crime rate, a Crime Forecasting System (CFS can be used which uses historical information maintained by the local Police to help them predict crime patterns with the support of a huge and self-updating database. This system operates to prevent crime, helps in apprehending criminals, and to reduce disorder. This system is also vital in helping the law enforcers in forming a proactive approach by helping them in identifying early warning signs, take timely and necessary actions, and eventually help stop crime before it actually happens. It will also be beneficial in maintaining an up to date database of criminal suspects includes information on arrest records, communication with police department, associations with other known suspects, and membership in gangs/activist groups. After exploratory analysis of the online data acquired from the victims of these crimes, a broad picture of the scenario can be analyzed. The degree of vulnerability of an area at some particular moment can be highlighted by different colors aided by Google Maps. Some statistical diagrams have also been incorporated. The future of CFS can be seen as an information engine for the analysis, study and prediction of crimes.

  19. A Simulation-Based Approach to Training Operational Cultural Competence

    Science.gov (United States)

    Johnson, W. Lewis

    2010-01-01

    Cultural knowledge and skills are critically important for military operations, emergency response, or any job that involves interaction with a culturally diverse population. However, it is not obvious what cultural knowledge and skills need to be trained, and how to integrate that training with the other training that trainees must undergo. Cultural training needs to be broad enough to encompass both regional (culture-specific) and cross-cultural (culture-general) competencies, yet be focused enough to result in targeted improvements in on-the-job performance. This paper describes a comprehensive instructional development methodology and training technology framework that focuses cultural training on operational needs. It supports knowledge acquisition, skill acquisition, and skill transfer. It supports both training and assessment, and integrates with other aspects of operational skills training. Two training systems will be used to illustrate this approach: the Virtual Cultural Awareness Trainer (VCAT) and the Tactical Dari language and culture training system. The paper also discusses new and emerging capabilities that are integrating cultural competence training more strongly with other aspects of training and mission rehearsal.

  20. A trait based approach to defining valued mentoring qualities

    Science.gov (United States)

    Pendall, E.

    2012-12-01

    Graduate training in the sciences requires strong personal interactions among faculty, senior lab members and more junior members. Within the lab-group setting we learn to frame problems, to conduct research and to communicate findings. The result is that individual scientists are partly shaped by a few influential mentors. We have all been influenced by special relationships with mentors, and on reflection we may find that certain qualities have been especially influential in our career choices. In this presentation I will discuss favorable mentoring traits as determined from an informal survey of scientists in varying stages of careers and from diverse backgrounds. Respondents addressed questions about traits they value in their mentors in several categories: 1) personal qualities such as approachability, humor and encouragement; background including gender, ethnicity, and family status; 2) scientific qualities including discipline or specialization, perceived stature in discipline, seniority, breadth of perspective, and level of expectations; and 3) community-oriented qualities promoted by mentors, such as encouraging service contributions and peer-mentoring within the lab group. The results will be compared among respondents by gender, ethnicity, stage of career, type of work, and subdiscipline within the broadly defined Biogeoscience community. We hope to contribute to the growing discussion on building a diverse and balanced scientific workforce.

  1. Exploring the usefulness of a recovery-based approach to dementia care nursing.

    Science.gov (United States)

    Gavan, Joan

    2011-10-01

    Exploring new approaches to dementia care nursing is vital to enable services to cope with the expected rise in demand for healthcare due to an ageing population. A comparison between the current person-centred care approach in aged care and recovery-based approach that underpins mental health nursing was reviewed in the literature to determine which is more useful to dementia care nursing. The recovery model is the conceptual framework that underlies the recovery-based approach. It broadens the current person-centred care approach through the fostering of hope, facilitative rather than directive care, and enhances autonomy. This promotes positive outcomes for older people with dementia through empowerment to make choices in the way they wish to live within the community. This essay proposes that the recovery-based approach is more useful to dementia care nursing than person-centred models.

  2. A quantitative approach for sex estimation based on cranial morphology.

    Science.gov (United States)

    Nikita, Efthymia; Michopoulou, Efrossyni

    2017-12-19

    This paper proposes a method for the quantification of the shape of sexually dimorphic cranial traits, namely the glabella, mastoid process and external occipital protuberance. The proposed method was developed using 165 crania from the documented Athens Collection and tested on 20 Cretan crania. It is based on digital photographs of the lateral view of the cranium, drawing of the profile of three sexually dimorphic structures and calculation of variables that express the shape of these structures. The combinations of variables that provide optimum discrimination between sexes are identified by means of binary logistic regression and discriminant analysis. The best cross-validated results are obtained when variables from all three structures are combined and range from 75.8 to 85.1% and 81.1 to 94.6% for males and females, respectively. The success rate is 86.3-94.1% for males and 83.9-93.5% for females when half of the sample is used for training and the rest for prediction. Correct classification for the Cretan material based upon the standards developed for the Athens sample was 80-90% for the optimum combinations of discriminant variables. The proposed method provides an effective way to capture quantitatively the shape of sexually dimorphic cranial structures; it gives more accurate results relative to other existing methods and it does not require specialized equipment. Equations for sex estimation based on combinations of variables are provided, along with instructions on how to use the method and Excel macros for calculation of discriminant variables with automated implementation of the optimum equations. © 2017 Wiley Periodicals, Inc.

  3. Polymer-based nanoparticles for oral insulin delivery: Revisited approaches.

    Science.gov (United States)

    Fonte, Pedro; Araújo, Francisca; Silva, Cátia; Pereira, Carla; Reis, Salette; Santos, Hélder A; Sarmento, Bruno

    2015-11-01

    Diabetes mellitus is a high prevalence and one of the most severe and lethal diseases in the world. Insulin is commonly used to treat diabetes in order to give patients a better life condition. However, due to bioavailability problems, the most common route of insulin administration is the subcutaneous route, which may present patients compliance problems to treatment. The oral administration is thus considered the most convenient alternative to deliver insulin, but it faces important challenges. The low stability of insulin in the gastrointestinal tract and low intestinal permeation, are problems to overcome. Therefore, the encapsulation of insulin into polymer-based nanoparticles is presented as a good strategy to improve insulin oral bioavailability. In the last years, different strategies and polymers have been used to encapsulate insulin and deliver it orally. Polymers with distinct properties from natural or synthetic sources have been used to achieve this aim, and among them may be found chitosan, dextran, alginate, poly(γ-glutamic acid), hyaluronic acid, poly(lactic acid), poly(lactide-co-glycolic acid), polycaprolactone (PCL), acrylic polymers and polyallylamine. Promising studies have been developed and positive results were obtained, but there is not a polymeric-based nanoparticle system to deliver insulin orally available in the market yet. There is also a lack of long term toxicity studies about the safety of the developed carriers. Thus, the aims of this review are first to provide a deep understanding on the oral delivery of insulin and the possible routes for its uptake, and then to overview the evolution of this field in the last years of research of insulin-loaded polymer-based nanoparticles in the academic and industrial fields. Toxicity concerns of the discussed nanocarriers are also addressed. Copyright © 2015 Elsevier Inc. All rights reserved.

  4. A laser printing based approach for printed electronics

    Science.gov (United States)

    Zhang, T.; Hu, M.; Liu, Y.; Guo, Q.; Wang, X.; Zhang, W.; Lau, W.; Yang, J.

    2016-03-01

    Here we report a study of printing of electronics using an office use laser printer. The proposed method eliminates those critical disadvantages of solvent-based printing techniques by taking the advantages of electroless deposition and laser printing. The synthesized toner acts as a catalyst for the electroless copper deposition as well as an adhesion-promoting buffer layer between the substrate and deposited copper. The easy metallization of printed patterns and strong metal-substrate adhesion make it an especially effective method for massive production of flexible printed circuits. The proposed process is a high throughput, low cost, efficient, and environmentally benign method for flexible electronics manufacturing.

  5. [Global brain metastases management strategy: a multidisciplinary-based approach].

    Science.gov (United States)

    Métellus, P; Tallet, A; Dhermain, F; Reyns, N; Carpentier, A; Spano, J-P; Azria, D; Noël, G; Barlési, F; Taillibert, S; Le Rhun, É

    2015-02-01

    Brain metastases management has evolved over the last fifteen years and may use varying strategies, including more or less aggressive treatments, sometimes combined, leading to an improvement in patient's survival and quality of life. The therapeutic decision is subject to a multidisciplinary analysis, taking into account established prognostic factors including patient's general condition, extracerebral disease status and clinical and radiological presentation of lesions. In this article, we propose a management strategy based on the state of current knowledge and available therapeutic resources. Copyright © 2015. Published by Elsevier SAS.

  6. Image-Based Approach to Mapping, Charting, and Geodesy.

    Science.gov (United States)

    1982-02-01

    a.ve-ttor- bas-ed tipo I pi calIlIv t i l t ill-( I C I S) I (,r PiPC t; al p I( I i lt i ll (S fai-p i(%’ c t alI . , 1978’) , tr I F :TI, rt it I.,r...intersection of these binary-mask data planes would be the answer to the original question. Currently, software does not exist for this procedure, but...a tabular file. 4.3.2 Point and Line Overlay IBIS software exists for overlay of two or more image planes. Results from the process (areal

  7. Binary Relations-based Rough Sets – an Automated Approach

    Directory of Open Access Journals (Sweden)

    Grabowski Adam

    2016-06-01

    Full Text Available Rough sets, developed by Zdzisław Pawlak [12], are an important tool to describe the state of incomplete or partially unknown information. In this article, which is essentially the continuation of [8], we try to give the characterization of approximation operators in terms of ordinary properties of underlying relations (some of them, as serial and mediate relations, were not available in the Mizar Mathematical Library [11]. Here we drop the classical equivalence- and tolerance-based models of rough sets trying to formalize some parts of [18].

  8. A process-based approach to management of the enterprise

    Directory of Open Access Journals (Sweden)

    Ryzhakina Tatiana

    2016-01-01

    Full Text Available Establishing an efficient management system is an especially pressing issue for machinery industry as a basic sector of economy in a country. The present paper considers establishing a management system oriented towards increasing enterprise value and customer satisfaction through the integration of process-based management and a Balanced Scorecard. An integrated management system enables structuring of organization processes, redesigning them with regard to external changes as well as applying a balanced scorecard connecting functional units by means of defining strategic objectives and measurable indicators detailing and controlling these objectives and thus increasing the efficiency of processes orienting an organization towards a customer.

  9. Pronunciation in EFL instruction a research-based approach

    CERN Document Server

    Szpyra-Kozlowska, Jolanta

    2014-01-01

    In view of recent debates on the global spread of English and its international lingua franca role, what pronunciation models are appropriate for millions of EFL learners? Which aspects of English phonetics should be taught to foreign students and which can be neglected with little loss to successful communication? How can English pronunciation be taught in an interesting and effective way which is both learner- and teacher-friendly, in accordance with the latest scholarly and technological achievements? This research-based book addresses these and many other fundamental issues that are curren

  10. A systems-based food safety evaluation: an experimental approach.

    Science.gov (United States)

    Higgins, Charles L; Hartfield, Barry S

    2004-11-01

    Food establishments are complex systems with inputs, subsystems, underlying forces that affect the system, outputs, and feedback. Building on past exploration of the hazard analysis critical control point concept and Ludwig von Bertalanffy General Systems Theory, the National Park Service (NPS) is attempting to translate these ideas into a realistic field assessment of food service establishments and to use information gathered by these methods in efforts to improve food safety. Over the course of the last two years, an experimental systems-based methodology has been drafted, developed, and tested by the NPS Public Health Program. This methodology is described in this paper.

  11. Emergent Macroeconomics An Agent-Based Approach to Business Fluctuations

    CERN Document Server

    Delli Gatti, Domenico; Gallegati, Mauro; Giulioni, Gianfranco; Palestrini, Antonio

    2008-01-01

    This book contributes substantively to the current state-of-the-art of macroeconomics by providing a method for building models in which business cycles and economic growth emerge from the interactions of a large number of heterogeneous agents. Drawing from recent advances in agent-based computational modeling, the authors show how insights from dispersed fields like the microeconomics of capital market imperfections, industrial dynamics and the theory of stochastic processes can be fruitfully combined to improve our understanding of macroeconomic dynamics. This book should be a valuable resource for all researchers interested in analyzing macroeconomic issues without recurring to a fictitious representative agent.

  12. Evaluation of Methyl-Binding Domain Based Enrichment Approaches Revisited.

    Directory of Open Access Journals (Sweden)

    Karolina A Aberg

    Full Text Available Methyl-binding domain (MBD enrichment followed by deep sequencing (MBD-seq, is a robust and cost efficient approach for methylome-wide association studies (MWAS. MBD-seq has been demonstrated to be capable of identifying differentially methylated regions, detecting previously reported robust associations and producing findings that replicate with other technologies such as targeted pyrosequencing of bisulfite converted DNA. There are several kits commercially available that can be used for MBD enrichment. Our previous work has involved MethylMiner (Life Technologies, Foster City, CA, USA that we chose after careful investigation of its properties. However, in a recent evaluation of five commercially available MBD-enrichment kits the performance of the MethylMiner was deemed poor. Given our positive experience with MethylMiner, we were surprised by this report. In an attempt to reproduce these findings we here have performed a direct comparison of MethylMiner with MethylCap (Diagenode Inc, Denville, NJ, USA, the best performing kit in that study. We find that both MethylMiner and MethylCap are two well performing MBD-enrichment kits. However, MethylMiner shows somewhat better enrichment efficiency and lower levels of background "noise". In addition, for the purpose of MWAS where we want to investigate the majority of CpGs, we find MethylMiner to be superior as it allows tailoring the enrichment to the regions where most CpGs are located. Using targeted bisulfite sequencing we confirmed that sites where methylation was detected by either MethylMiner or by MethylCap indeed were methylated.

  13. Management of gastric polyps: an endoscopy-based approach.

    Science.gov (United States)

    Shaib, Yasser H; Rugge, Massimo; Graham, David Y; Genta, Robert M

    2013-11-01

    The endoscopic finding of a gastric polyp and the histopathologic report that follows may leave clinicians with questions that have not been addressed in formal guidelines: do all polyps need to be excised, or can they just be sampled for biopsy? If so, which ones and how many should be sampled? What follow-up evaluation is needed, if any? This review relies on the existing literature and our collective experience to provide practical answers to these questions. Fundic gland polyps, now the most frequent gastric polyps in Western countries because of widespread use of proton pump inhibitors, and hyperplastic polyps, the second most common polyps notable for their association with gastritis and their low but important potential for harboring dysplastic or neoplastic foci, are discussed in greater detail. Adenomas have had their name changed to raised intraepithelial neoplasia and are decreasing in parallel with Helicobacter pylori infection; however, they do retain their importance as harbingers of gastric cancer, particularly in East Asia. Gastrointestinal stromal tumors have low incidence and no known associations, but their malignant potential is high; early diagnosis and proper management are crucial. Although rare and benign, inflammatory fibroid polyps need to recognized, particularly by pathologists, to avoid misdiagnosis. Gastric neuroendocrine tumors (carcinoids) are important because of their association with either atrophic gastritis or the multiple endocrine neoplasia syndromes; those that do not arise in these backgrounds have high malignant potential and require aggressive management. The review concludes with some practical suggestions on how to approach gastric polyps detected at endoscopy. Copyright © 2013 AGA Institute. Published by Elsevier Inc. All rights reserved.

  14. The economics of gasification: a market-based approach

    Energy Technology Data Exchange (ETDEWEB)

    Abadie, L. M. [Bilbao Bizkaia Kutxa, Gran Via 30, 48009 Bilbao (Spain); Chamorro, J. M. [Departamento Fundamentos del Analisis Economico I, University of the Basque Country, Av. Lehendakari Aguirre 83, 48015 Bilbao (Spain)

    2009-07-01

    This paper deals with the economics of gasification facilities in general and Integrated Gasification Combined Cycle (IGCC) power plants in particular. Regarding the prospects of these systems, passing the technological test is one thing, passing the economic test can be quite another. In this respect, traditional valuations assume constant input and/or output prices. Since this is hardly realistic, we allow for uncertainty in prices. We naturally look at the markets where many of the products involved are regularly traded. Futures markets on commodities are particularly useful for valuing uncertain future cash flows. Thus, revenues and variable costs can be assessed by means of sound financial concepts and actual market data. On the other hand, these complex systems provide a number of flexibility options (e.g., to choose among several inputs, outputs, modes of operation, etc.). Typically, flexibility contributes significantly to the overall value of real assets. Indeed, maximization of the asset value requires the optimal exercise of any flexibility option available. Yet the economic value of flexibility is elusive, the more so under (price) uncertainty. And the right choice of input fuels and/or output products is a main concern for the facility managers. As a particular application, we deal with the valuation of input flexibility. We follow the Real Options approach. In addition to economic variables, we also address technical and environmental issues such as energy efficiency, utility performance characteristics and emissions (note that carbon constraints are looming). Lastly, a brief introduction to some stochastic processes suitable for valuation purposes is provided. (author)

  15. Efficient Learning Strategy of Chinese Characters Based on Network Approach

    Science.gov (United States)

    Yan, Xiaoyong; Fan, Ying; Di, Zengru; Havlin, Shlomo; Wu, Jinshan

    2013-01-01

    We develop an efficient learning strategy of Chinese characters based on the network of the hierarchical structural relations between Chinese characters. A more efficient strategy is that of learning the same number of useful Chinese characters in less effort or time. We construct a node-weighted network of Chinese characters, where character usage frequencies are used as node weights. Using this hierarchical node-weighted network, we propose a new learning method, the distributed node weight (DNW) strategy, which is based on a new measure of nodes' importance that considers both the weight of the nodes and its location in the network hierarchical structure. Chinese character learning strategies, particularly their learning order, are analyzed as dynamical processes over the network. We compare the efficiency of three theoretical learning methods and two commonly used methods from mainstream Chinese textbooks, one for Chinese elementary school students and the other for students learning Chinese as a second language. We find that the DNW method significantly outperforms the others, implying that the efficiency of current learning methods of major textbooks can be greatly improved. PMID:23990887

  16. Efficient learning strategy of Chinese characters based on network approach.

    Science.gov (United States)

    Yan, Xiaoyong; Fan, Ying; Di, Zengru; Havlin, Shlomo; Wu, Jinshan

    2013-01-01

    We develop an efficient learning strategy of Chinese characters based on the network of the hierarchical structural relations between Chinese characters. A more efficient strategy is that of learning the same number of useful Chinese characters in less effort or time. We construct a node-weighted network of Chinese characters, where character usage frequencies are used as node weights. Using this hierarchical node-weighted network, we propose a new learning method, the distributed node weight (DNW) strategy, which is based on a new measure of nodes' importance that considers both the weight of the nodes and its location in the network hierarchical structure. Chinese character learning strategies, particularly their learning order, are analyzed as dynamical processes over the network. We compare the efficiency of three theoretical learning methods and two commonly used methods from mainstream Chinese textbooks, one for Chinese elementary school students and the other for students learning Chinese as a second language. We find that the DNW method significantly outperforms the others, implying that the efficiency of current learning methods of major textbooks can be greatly improved.

  17. An SDN based approach for the ATLAS data acquisition network

    CERN Document Server

    Blikra, Espen; The ATLAS collaboration

    2016-01-01

    ATLAS is a high energy physics experiment in the Large Hadron Collider located at CERN. During the so called Long Shutdown 2 period scheduled for late 2019, ATLAS will undergo several modifications and upgrades on its data acquisition system in order to cope with the higher luminosity requirements. As part of these activities, a new read-out chain will be built for the New Small Wheel muon detector and the one of the Liquid Argon calorimeter will be upgraded. The subdetector specific electronic boards will be replaced with new commodity-server-based systems and instead of the custom serial-link-based communication, the new system will make use of a yet to be chosen commercial network technology. The new network will be used as a data acquisition network and at the same time it is intended to allow communication for the control, calibration and monitoring of the subdetectors. Therefore several types of traffic with different bandwidth requirements and different criticality will be competing for the same underl...

  18. Nontraditional approach to algebra-based general physics

    Science.gov (United States)

    Meltzer, David E.

    1997-03-01

    In order to improve the degree of conceptual learning in our algebra-based general physics course, the second semester (of a two-semester sequence) has been taught in a nontraditional format during the past year. The key characteristics of this course were: 1) Intense and continuous use of interactive-engagement methods and cooperative learning; 2) coverage of less than half of the conventional number of topics, 3) heavy emphasis on qualitative questions as opposed to quantitative problems, 4) adjustment of the pacing of the course based on continuous (twice per week) formative assessment. The students enrolled in the course were relatively poorly prepared, with weak mathematical skills. Open-book quizzes stressing qualitative concepts in electricity and magnetism were given twice per week; most were given in "group quiz" format, allowing collaboration. Exams (also open-book) were all done individually. Most of the class time was taken up by quizzes, and by interactive discussion and group work related to quiz questions. New topics were not introduced until a majority of the class demonstrated competence in the topic under discussion. Despite lengthy and intensive focus on qualitative, conceptual questions and simple quantitative problems, only a small minority of the class ultimately demonstrated mastery of the targeted concepts. Frequent testing and re-testing of the students on basic concepts disclosed tenacious persistence of misconceptions.

  19. Residence-Based Fear of Crime: A Routine Activities Approach.

    Science.gov (United States)

    Lai, Yung-Lien; Ren, Ling; Greenleaf, Richard

    2017-07-01

    Most fear-of-crime research uses resident's neighborhood as a key reference location to measure fear, yet the location effects of one's own dwelling unit on crime-specific fear has not been explicitly studied theoretically in the literature. Drawing upon routine activities theory, this study undertakes an investigation into the levels and determinants of residence-based fear of crime across three racial/ethnic groups-Whites, African Americans, and non-White Hispanics. Data used in the analyses were collected from a random-sample telephone survey of 1,239 respondents in Houston, Texas. The results derived from factor analyses revealed that residents do distinguish between fear in the neighborhood and fear at home. Proximity to motivated offenders measured by perception of crime was found to be the most salient predictor of fear, followed by the measures of target vulnerability and capable guardianship. In addition, residence-based fear varies significantly across racial/ethnic groups. The significance of these findings and the policy implications are highlighted.

  20. An agent-based approach to financial stylized facts

    Science.gov (United States)

    Shimokawa, Tetsuya; Suzuki, Kyoko; Misawa, Tadanobu

    2007-06-01

    An important challenge of the financial theory in recent years is to construct more sophisticated models which have consistencies with as many financial stylized facts that cannot be explained by traditional models. Recently, psychological studies on decision making under uncertainty which originate in Kahneman and Tversky's research attract a lot of interest as key factors which figure out the financial stylized facts. These psychological results have been applied to the theory of investor's decision making and financial equilibrium modeling. This paper, following these behavioral financial studies, would like to propose an agent-based equilibrium model with prospect theoretical features of investors. Our goal is to point out a possibility that loss-averse feature of investors explains vast number of financial stylized facts and plays a crucial role in price formations of financial markets. Price process which is endogenously generated through our model has consistencies with, not only the equity premium puzzle and the volatility puzzle, but great kurtosis, asymmetry of return distribution, auto-correlation of return volatility, cross-correlation between return volatility and trading volume. Moreover, by using agent-based simulations, the paper also provides a rigorous explanation from the viewpoint of a lack of market liquidity to the size effect, which means that small-sized stocks enjoy excess returns compared to large-sized stocks.

  1. Antibody-Based Cancer Therapy: Successful Agents and Novel Approaches.

    Science.gov (United States)

    Hendriks, D; Choi, G; de Bruyn, M; Wiersma, V R; Bremer, E

    2017-01-01

    Since their discovery, antibodies have been viewed as ideal candidates or "magic bullets" for use in targeted therapy in the fields of cancer, autoimmunity, and chronic inflammatory disorders. A wave of antibody-dedicated research followed, which resulted in the clinical approval of a first generation of monoclonal antibodies for cancer therapy such as rituximab (1997) and cetuximab (2004), and infliximab (2002) for the treatment of autoimmune diseases. More recently, the development of antibodies that prevent checkpoint-mediated inhibition of T cell responses invigorated the field of cancer immunotherapy. Such antibodies induced unprecedented long-term remissions in patients with advanced stage malignancies, most notably melanoma and lung cancer, that do not respond to conventional therapies. In this review, we will recapitulate the development of antibody-based therapy, and detail recent advances and new functions, particularly in the field of cancer immunotherapy. With the advent of recombinant DNA engineering, a number of rationally designed molecular formats of antibodies and antibody-derived agents have become available, and we will discuss various molecular formats including antibodies with improved effector functions, bispecific antibodies, antibody-drug conjugates, antibody-cytokine fusion proteins, and T cells genetically modified with chimeric antigen receptors. With these exciting advances, new antibody-based treatment options will likely enter clinical practice and pave the way toward more successful control of malignant diseases. © 2017 Elsevier Inc. All rights reserved.

  2. A Frequency-Based Approach to Intrusion Detection

    Directory of Open Access Journals (Sweden)

    Mian Zhou

    2004-06-01

    Full Text Available Research on network security and intrusion detection strategies presents many challenging issues to both theoreticians and practitioners. Hackers apply an array of intrusion and exploit techniques to cause disruption of normal system operations, but on the defense, firewalls and intrusion detection systems (IDS are typically only effective in defending known intrusion types using their signatures, and are far less than mature when faced with novel attacks. In this paper, we adapt the frequency analysis techniques such as the Discrete Fourier Transform (DFT used in signal processing to the design of intrusion detection algorithms. We demonstrate the effectiveness of the frequency-based detection strategy by running synthetic network intrusion data in simulated networks using the OPNET software. The simulation results indicate that the proposed intrusion detection strategy is effective in detecting anomalous traffic data that exhibit patterns over time, which include several types of DOS and probe attacks. The significance of this new strategy is that it does not depend on the prior knowledge of attack signatures, thus it has the potential to be a useful supplement to existing signature-based IDS and firewalls.

  3. Chikungunya Virus Vaccines: Viral Vector-Based Approaches.

    Science.gov (United States)

    Ramsauer, Katrin; Tangy, Frédéric

    2016-12-15

    In 2013, a major chikungunya virus (CHIKV) epidemic reached the Americas. In the past 2 years, >1.7 million people have been infected. In light of the current epidemic, with millions of people in North and South America at risk, efforts to rapidly develop effective vaccines have increased. Here, we focus on CHIKV vaccines that use viral-vector technologies. This group of vaccine candidates shares an ability to potently induce humoral and cellular immune responses by use of highly attenuated and safe vaccine backbones. So far, well-described vectors such as modified vaccinia virus Ankara, complex adenovirus, vesicular stomatitis virus, alphavirus-based chimeras, and measles vaccine Schwarz strain (MV/Schw) have been described as potential vaccines. We summarize here the recent data on these experimental vaccines, with a focus on the preclinical and clinical activities on the MV/Schw-based candidate, which is the first CHIKV-vectored vaccine that has completed a clinical trial. © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.

  4. Model-Based Approaches for Teaching and Practicing Personality Assessment.

    Science.gov (United States)

    Blais, Mark A; Hopwood, Christopher J

    2017-01-01

    Psychological assessment is a complex professional skill. Competence in assessment requires an extensive knowledge of personality, neuropsychology, social behavior, and psychopathology, a background in psychometrics, familiarity with a range of multimethod tools, cognitive flexibility, skepticism, and interpersonal sensitivity. This complexity makes assessment a challenge to teach and learn, particularly as the investment of resources and time in assessment has waned in psychological training programs over the last few decades. In this article, we describe 3 conceptual models that can assist teaching and learning psychological assessments. The transtheoretical model of personality provides a personality systems-based framework for understanding how multimethod assessment data relate to major personality systems and can be combined to describe and explain complex human behavior. The quantitative psychopathology-personality trait model is an empirical model based on the hierarchical organization of individual differences. Application of this model can help students understand diagnostic comorbidity and symptom heterogeneity, focus on more meaningful high-order domains, and identify the most effective assessment tools for addressing a given question. The interpersonal situation model is rooted in interpersonal theory and can help students connect test data to here-and-now interactions with patients. We conclude by demonstrating the utility of these models using a case example.

  5. Efficient learning strategy of Chinese characters based on network approach.

    Directory of Open Access Journals (Sweden)

    Xiaoyong Yan

    Full Text Available We develop an efficient learning strategy of Chinese characters based on the network of the hierarchical structural relations between Chinese characters. A more efficient strategy is that of learning the same number of useful Chinese characters in less effort or time. We construct a node-weighted network of Chinese characters, where character usage frequencies are used as node weights. Using this hierarchical node-weighted network, we propose a new learning method, the distributed node weight (DNW strategy, which is based on a new measure of nodes' importance that considers both the weight of the nodes and its location in the network hierarchical structure. Chinese character learning strategies, particularly their learning order, are analyzed as dynamical processes over the network. We compare the efficiency of three theoretical learning methods and two commonly used methods from mainstream Chinese textbooks, one for Chinese elementary school students and the other for students learning Chinese as a second language. We find that the DNW method significantly outperforms the others, implying that the efficiency of current learning methods of major textbooks can be greatly improved.

  6. Rights-based approach in the work of Save the Children UK

    OpenAIRE

    Tran, Ha Anh

    2013-01-01

    As human rights and development share the same goal of achieving human liberty and dignity, the human rights-based approach to development has come to life using international human rights standards and frameworks to reinforce the legal obligations states have to create changes towards the fulfilment of human rights and fundamental freedoms. This study aims at diving into the massive theoretical work on human rights-based approaches to form a deep, logical understanding of this concept based ...

  7. A subspace approach based on embedded prewhitening for voice activity detection.

    Science.gov (United States)

    Kim, Dong Kook; Chang, Joon-Hyuk

    2011-11-01

    This paper presents a subspace approach for voice activity detection (VAD). The proposed approach is based on an embedded prewhitening scheme for the simultaneous diagonalization of the clean speech and noise covariance matrices to provide a decision rule based on likelihood ratio test in signal subspace domain. Experimental results show that the proposed subspace-based VAD algorithm outperforms the method using a Gaussian model in a conventional discrete Fourier transform domain at the low signal-to-noise conditions.

  8. Evaluation of Multi Layers Web-based GIS Approach in Retrieving Tourist Related Information

    OpenAIRE

    Rosilawati Zainol; Zainab Abu Bakar

    2014-01-01

    Geo-based information is getting greater importance among tourists. However, retrieving this information on the web depends heavily on the methods of dissemination. Therefore, this study intends to evaluate methods used in disseminating tourist related geo-based information on the web using partial match query, firstly, in default system which is a single layer approach and secondly, using multi layer web-based Geographic Information System (GIS) approaches. Shah Alam tourist related data are...

  9. A new approach to risk evaluation and management: risk-based, precaution-based, and discourse-based strategies.

    Science.gov (United States)

    Klinke, Andreas; Renn, Ortwin

    2002-12-01

    Our concept of nine risk evaluation criteria, six risk classes, a decision tree, and three management categories was developed to improve the effectiveness, efficiency, and political feasibility of risk management procedures. The main task of risk evaluation and management is to develop adequate tools for dealing with the problems of complexity, uncertainty. and ambiguity. Based on the characteristics of different risk types and these three major problems, we distinguished three types of management--risk-based, precaution-based, and discourse-based strategies. The risk-based strategy--is the common solution to risk problems. Once the probabilities and their corresponding damage potentials are calculated, risk managers are required to set priorities according to the severity of the risk, which may be operationalized as a linear combination of damage and probability or as a weighted combination thereof. Within our new risk classification, the two central components have been augmented with other physical and social criteria that still demand risk-based strategies as long as uncertainty is low and ambiguity absent. Risk-based strategies are best solutions to problems of complexity and some components of uncertainty, for example, variation among individuals. If the two most important risk criteria, probability of occurrence and extent of damage, are relatively well known and little uncertainty is left, the traditional risk-based approach seems reasonable. If uncertainty plays a large role, in particular, indeterminacy or lack of knowledge, the risk-based approach becomes counterproductive. Judging the relative severity of risks on the basis of uncertain parameters does not make much sense. Under these circumstances, management strategies belonging to the precautionary management style are required. The precautionary approach has been the basis for much of the European environmental and health protection legislation and regulation. Our own approach to risk management

  10. Envelope based nonlinear blind deconvolution approach for ultrasound imaging

    Directory of Open Access Journals (Sweden)

    L.T. Chira

    2012-06-01

    Full Text Available The resolution of ultrasound medical images is yet an important problem despite of the researchers efforts. In this paper we presents a nonlinear blind deconvolution to eliminate the blurring effect based on the measured radio-frequency signal envelope. This algorithm is executed in two steps. Firslty we make an estimation for Point Spread Function (PSF and, secondly we use the estimated PSF to remove, iteratively their effect. The proposed algorithm is a greedy algorithm, called also matching pursuit or CLEAN. The use of this algorithm is motivated beacause theorically it avoid the so called inverse problem, which usually needs regularization to obtain an optimal solution. The results are presented using 1D simulated signals in term of visual evaluation and nMSE in comparison with the two most kwown regularisation solution methods for least square problem, Thikonov regularization or l2-norm and Total Variation or l1 norm.

  11. A Geometric Fuzzy-Based Approach for Airport Clustering

    Directory of Open Access Journals (Sweden)

    Maria Nadia Postorino

    2014-01-01

    Full Text Available Airport classification is a common need in the air transport field due to several purposes—such as resource allocation, identification of crucial nodes, and real-time identification of substitute nodes—which also depend on the involved actors’ expectations. In this paper a fuzzy-based procedure has been proposed to cluster airports by using a fuzzy geometric point of view according to the concept of unit-hypercube. By representing each airport as a point in the given reference metric space, the geometric distance among airports—which corresponds to a measure of similarity—has in fact an intrinsic fuzzy nature due to the airport specific characteristics. The proposed procedure has been applied to a test case concerning the Italian airport network and the obtained results are in line with expectations.

  12. Modified risk graph method using fuzzy rule-based approach.

    Science.gov (United States)

    Nait-Said, R; Zidani, F; Ouzraoui, N

    2009-05-30

    The risk graph is one of the most popular methods used to determine the safety integrity level for safety instrumented functions. However, conventional risk graph as described in the IEC 61508 standard is subjective and suffers from an interpretation problem of risk parameters. Thus, it can lead to inconsistent outcomes that may result in conservative SILs. To overcome this difficulty, a modified risk graph using fuzzy rule-based system is proposed. This novel version of risk graph uses fuzzy scales to assess risk parameters and calibration may be made by varying risk parameter values. Furthermore, the outcomes which are numerical values of risk reduction factor (the inverse of the probability of failure on demand) can be compared directly with those given by quantitative and semi-quantitative methods such as fault tree analysis (FTA), quantitative risk assessment (QRA) and layers of protection analysis (LOPA).

  13. Discovery of Frequent Itemsets: Frequent Item Tree-Based Approach

    Directory of Open Access Journals (Sweden)

    A.V. Senthil Kumar

    2007-05-01

    Full Text Available Mining frequent patterns in large transactional databases is a highly researched area in the field of data mining. Existing frequent pattern discovering algorithms suffer from many problems regarding the high memory dependency when mining large amount of data, computational and I/O cost. Additionally, the recursive mining process to mine these structures is also too voracious in memory resources. In this paper, we describe a more efficient algorithm for mining complete frequent itemsets from transactional databases. The suggested algorithm is partially based on FP-tree hypothesis and extracts the frequent itemsets directly from the tree. Its memory requirement, which is independent from the number of processed transactions, is another benefit of the new method. We present performance comparisons for our algorithm against the Apriori algorithm and FP-growth.

  14. An information based approach to improving overhead imagery collection

    Science.gov (United States)

    Sourwine, Matthew J.; Hintz, Kenneth J.

    2011-06-01

    Recent growth in commercial imaging satellite development has resulted in a complex and diverse set of systems. To simplify this environment for both customer and vendor, an information based sensor management model was built to integrate tasking and scheduling systems. By establishing a relationship between image quality and information, tasking by NIIRS can be utilized to measure the customer's required information content. Focused on a reduction in uncertainty about a target of interest, the sensor manager finds the best sensors to complete the task given the active suite of imaging sensors' functions. This is done through determination of which satellite will meet customer information and timeliness requirements with low likelihood of interference at the highest rate of return.

  15. New Approaches for Channel Prediction Based on Sinusoidal Modeling

    Directory of Open Access Journals (Sweden)

    Ekman Torbjörn

    2007-01-01

    Full Text Available Long-range channel prediction is considered to be one of the most important enabling technologies to future wireless communication systems. The prediction of Rayleigh fading channels is studied in the frame of sinusoidal modeling in this paper. A stochastic sinusoidal model to represent a Rayleigh fading channel is proposed. Three different predictors based on the statistical sinusoidal model are proposed. These methods outperform the standard linear predictor (LP in Monte Carlo simulations, but underperform with real measurement data, probably due to nonstationary model parameters. To mitigate these modeling errors, a joint moving average and sinusoidal (JMAS prediction model and the associated joint least-squares (LS predictor are proposed. It combines the sinusoidal model with an LP to handle unmodeled dynamics in the signal. The joint LS predictor outperforms all the other sinusoidal LMMSE predictors in suburban environments, but still performs slightly worse than the standard LP in urban environments.

  16. Product take-back: sensors-based approach

    Science.gov (United States)

    Zeid, Ibrahim; Kamarthi, Sagar V.; Gupta, Surendra M.

    2004-12-01

    The driving forces behind product take-back and green manufacturing are well established. The two main product end-of-life options are reuse/remanufacturing and recycling. For either option, all take-back units are treated equally because no information that tracks the conditions of a product during its useful life is available. For example, all expired PCs are treated equally; no distinction can be made about which units still have healthy hard disks. This paper discusses sensor-based monitoring and prognostic methodologies for tracking the condition of products while being used by customers and timely and targeted servicing, smart and selective disassembling and refurbishing of products with known (long) remaining lives. The paper also discusses the added benefits to product manufacturers when the time comes to redesign their products. The real-time field data on service and utilization of products are communicated to manufacturers" headquarters for further analysis.

  17. Reverse breeding: a novel breeding approach based on engineered meiosis

    Science.gov (United States)

    Dirks, Rob; van Dun, Kees; de Snoo, C Bastiaan; van den Berg, Mark; Lelivelt, Cilia L C; Voermans, William; Woudenberg, Leo; de Wit, Jack P C; Reinink, Kees; Schut, Johan W; van der Zeeuw, Eveline; Vogelaar, Aat; Freymark, Gerald; Gutteling, Evert W; Keppel, Marina N; van Drongelen, Paul; Kieny, Matthieu; Ellul, Philippe; Touraev, Alisher; Ma, Hong; de Jong, Hans; Wijnker, Erik

    2009-01-01

    Reverse breeding (RB) is a novel plant breeding technique designed to directly produce parental lines for any heterozygous plant, one of the most sought after goals in plant breeding. RB generates perfectly complementing homozygous parental lines through engineered meiosis. The method is based on reducing genetic recombination in the selected heterozygote by eliminating meiotic crossing over. Male or female spores obtained from such plants contain combinations of non-recombinant parental chromosomes which can be cultured in vitro to generate homozygous doubled haploid plants (DHs). From these DHs, complementary parents can be selected and used to reconstitute the heterozygote in perpetuity. Since the fixation of unknown heterozygous genotypes is impossible in traditional plant breeding, RB could fundamentally change future plant breeding. In this review, we discuss various other applications of RB, including breeding per chromosome. PMID:19811618

  18. Development of Entrepreneurship Competences from Project Based Learning Approaches

    Directory of Open Access Journals (Sweden)

    Lidia SÁNCHEZ GONZÁLEZ

    2017-02-01

    Full Text Available A key issue for any educational institution is to train individuals in such a way that they participate efficiently in their context. The current context where learning is carried out is digital era. With this landscape, and taking into account the current socioeconomic situation, it is necessary to increase students’ employability. This requires that what is taught in educational institutions fits with companies’ requirements. In this sense one of most common companies’ requirement is that students have knowledge about how to develop a project from scratch. In order to address this issue, the present paper poses the application of a project based learning methodology. This methodology is applied in an experiment that comprises two academic years. During each year, the students should develop complete projects working as teams and obtain final products. In this way, it was possible to develop competences that can be interesting for companies and also to increment students’ motivation.

  19. A Utility-Based Approach to Some Information Measures

    Directory of Open Access Journals (Sweden)

    Sven Sandow

    2007-01-01

    Full Text Available We review a decision theoretic, i.e., utility-based, motivation for entropy and Kullback-Leibler relative entropy, the natural generalizations that follow, and various properties of thesegeneralized quantities. We then consider these generalized quantities in an easily interpreted spe-cial case. We show that the resulting quantities, share many of the properties of entropy andrelative entropy, such as the data processing inequality and the second law of thermodynamics.We formulate an important statistical learning problem – probability estimation – in terms of ageneralized relative entropy. The solution of this problem reflects general risk preferences via theutility function; moreover, the solution is optimal in a sense of robust absolute performance.

  20. [Anaesthesia for canine caesarean section - an evidence-based approach].

    Science.gov (United States)

    Alef, Michaele

    2017-02-09

    In recent years, several new studies on anaesthesia for caesarean section have been published. This paper refers to these and ground-breaking research on risk factors affecting the puppies. Based on the available evidence, a recommendation for an anaesthetic procedure is given and in addition, alternatives are discussed. Induction with propofol or alfaxalone and maintenance by inhalation anaesthesia appears to be the method with the least risk. Intraoperatively, an adequate and low-risk analgesia is achieved by an epidural anaesthesia. Opioids allow an adequate maternal pain management after delivery of the puppies as well as postoperatively. A stabilisation of the dam before induction and an optimised oxygen supply are additional basal requirements.