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Sample records for analytic network process

  1. Metoda Analytic Network Process

    OpenAIRE

    2010-01-01

    The thesis is concerned with Multi-Criteria Decision Making, in particular the Analytic Network Process method. The introductory part is dedicated to compile all the theory necessary to understand the method and utilized throughout the paper. The Analytic Hierarchy Process method is described and later generalized in the form of the ANP. Part of the paper is a description of available software products that are able to solve the ANP models. The main focus is on the application of the method, ...

  2. Kriteria Pemilihan Pemasok Menggunakan Analytical Network Process

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    Dewi Kurniawati

    2013-01-01

    Full Text Available The selection of supplier is a strategic decision in supply chain which increase competitive advantages. Every manufacture needs to have a standard supplier selection that appropriate with the requirement of the company. The aims of this paper are promoting some criterias of supplier selection and testing whether there are differences interests against priority criteria referred to of strata tenure distinct. Weights and priorities of the criteria tested with a method of analytic network process (ANP are also intended to bring up a relation of mutual influence among the criteria. ANP can be used to help making decision of selection supplier and to manage supply chain performance. This paper shows the criteria that influence are the past perfomance, price, communication systems, and a supplier of professionalism is the priority for the production of the company. In the other hand, the importance of management is the delivery time, consistent quality, price, and number of delivery. The difference in perspective is influenced by the level of interest and different responsibilities. The difference this assessment formed the basis of decision-making and strategic policies of the supply chain according to the condition of the company.

  3. MODEL ANALYTICAL NETWORK PROCESS (ANP DALAM PENGEMBANGAN PARIWISATA DI JEMBER

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    Sukidin Sukidin

    2015-04-01

    Full Text Available Abstrak    : Model Analytical Network Process (ANP dalam Pengembangan Pariwisata di Jember. Penelitian ini mengkaji kebijakan pengembangan pariwisata di Jember, terutama kebijakan pengembangan agrowisata perkebunan kopi dengan menggunakan Jember Fashion Carnival (JFC sebagai event marketing. Metode yang digunakan adalah soft system methodology dengan menggunakan metode analitis jaringan (Analytical Network Process. Penelitian ini menemukan bahwa pengembangan pariwisata di Jember masih dilakukan dengan menggunakan pendekatan konvensional, belum terkoordinasi dengan baik, dan lebih mengandalkan satu even (atraksi pariwisata, yakni JFC, sebagai lokomotif daya tarik pariwisata Jember. Model pengembangan konvensional ini perlu dirancang kembali untuk memperoleh pariwisata Jember yang berkesinambungan. Kata kunci: pergeseran paradigma, industry pariwisata, even pariwisata, agrowisata Abstract: Analytical Network Process (ANP Model in the Tourism Development in Jember. The purpose of this study is to conduct a review of the policy of tourism development in Jember, especially development policies for coffee plantation agro-tourism by using Jember Fashion Carnival (JFC as event marketing. The research method used is soft system methodology using Analytical Network Process. The result shows that the tourism development in Jember is done using a conventional approach, lack of coordination, and merely focus on a single event tourism, i.e. the JFC, as locomotive tourism attraction in Jember. This conventional development model needs to be redesigned to reach Jember sustainable tourism development. Keywords: paradigm shift, tourism industry, agro-tourism

  4. Evaluation of remedial countermeasures using the analytic network process.

    Science.gov (United States)

    Promentilla, M A B; Furuichi, T; Ishii, K; Tanikawa, N

    2006-01-01

    The aim of this paper is to present an evaluation method to aid decision makers in the prioritization and selection of appropriate countermeasures at the planning stage of site remediation. We introduced a hierarchical network (hiernet) decision structure and applied the Analytic Network Process (ANP) supermatrix approach to measure the relative desirability of the remedial alternatives using the decision maker's value judgment as input. A simplified illustrative example is presented to elucidate the process, as it is being applied to evaluate the feasible remedial countermeasures of a contaminated site caused by uncontrolled landfill. Four decision models derived from the generalized hiernet were examined to describe the effect of hierarchic functional dependence, inner dependence and feedback cycle on the derivation of the priority weights. The ANP could provide a more flexible analytical framework to break down one's judgment through a more elaborate structure in a systematic way to understand the complexity of the decision problem. The proposed method therefore may not only aid in selecting the best alternative but also may help to facilitate communication to understand why an alternative is preferred over the other alternatives through the analysis of the derived weights and its underlying decision structure.

  5. Selecting public relations personnel of hospitals by analytic network process.

    Science.gov (United States)

    Liao, Sen-Kuei; Chang, Kuei-Lun

    2009-01-01

    This study describes the use of analytic network process (ANP) in the Taiwanese hospital public relations personnel selection process. Starting with interviewing 48 practitioners and executives in north Taiwan, we collected selection criteria. Then, we retained the 12 critical criteria that were mentioned above 40 times by theses respondents, including: interpersonal skill, experience, negotiation, language, ability to follow orders, cognitive ability, adaptation to environment, adaptation to company, emotion, loyalty, attitude, and Response. Finally, we discussed with the 20 executives to take these important criteria into three perspectives to structure the hierarchy for hospital public relations personnel selection. After discussing with practitioners and executives, we find that selecting criteria are interrelated. The ANP, which incorporates interdependence relationships, is a new approach for multi-criteria decision-making. Thus, we apply ANP to select the most optimal public relations personnel of hospitals. An empirical study of public relations personnel selection problems in Taiwan hospitals is conducted to illustrate how the selection procedure works.

  6. Security Evaluation of Power Network Information System Based on Analytic Network Process

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    Jianchang Lu

    2013-04-01

    Full Text Available After the building of the power network, many enterprises are faced with a potential information security issue, the unstable factors threaten to the normal operation of the network information system, which is caused by the computer network defects. Aiming at this point, potential security dangers of power network information system were analyzed. Then an index system based on the security evaluation of power network information systems was established. Applying the analytic network process to get the weights of each index, the evaluation process can be accessed by fuzzy comprehensive evaluation method. The weights of each index are decided by ANP, which can remedy the defects of analytic hierarchy process that the interaction among indexes cannot be reflected. Example analysis is performed by the Super Decisions software to verify feasibility and effectiveness of the proposed evaluation model mentioned in the paper.

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

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    Mohammad Ali Afsharkazemi

    2012-08-01

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

  8. Using analytic network process for evaluating mobile text entry methods.

    Science.gov (United States)

    Ocampo, Lanndon A; Seva, Rosemary R

    2016-01-01

    This paper highlights a preference evaluation methodology for text entry methods in a touch keyboard smartphone using analytic network process (ANP). Evaluation of text entry methods in literature mainly considers speed and accuracy. This study presents an alternative means for selecting text entry method that considers user preference. A case study was carried out with a group of experts who were asked to develop a selection decision model of five text entry methods. The decision problem is flexible enough to reflect interdependencies of decision elements that are necessary in describing real-life conditions. Results showed that QWERTY method is more preferred than other text entry methods while arrangement of keys is the most preferred criterion in characterizing a sound method. Sensitivity analysis using simulation of normally distributed random numbers under fairly large perturbation reported the foregoing results reliable enough to reflect robust judgment. The main contribution of this paper is the introduction of a multi-criteria decision approach in the preference evaluation of text entry methods.

  9. Green Transport Balanced Scorecard Model with Analytic Network Process Support

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    David Staš

    2015-11-01

    Full Text Available In recent decades, the performance of economic and non-economic activities has required them to be friendly with the environment. Transport is one of the areas having considerable potential within the scope. The main assumption to achieve ambitious green goals is an effective green transport evaluation system. However, these systems are researched from the industrial company and supply chain perspective only sporadically. The aim of the paper is to design a conceptual framework for creating the Green Transport (GT Balanced Scorecard (BSC models from the viewpoint of industrial companies and supply chains using an appropriate multi-criteria decision making method. The models should allow green transport performance evaluation and support of an effective implementation of green transport strategies. Since performance measures used in Balanced Scorecard models are interdependent, the Analytic Network Process (ANP was used as the appropriate multi-criteria decision making method. The verification of the designed conceptual framework was performed on a real supply chain of the European automotive industry.

  10. Supercritical boiler material selection using fuzzy analytic network process

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    Saikat Ranjan Maity

    2012-08-01

    Full Text Available The recent development of world is being adversely affected by the scarcity of power and energy. To survive in the next generation, it is thus necessary to explore the non-conventional energy sources and efficiently consume the available sources. For efficient exploitation of the existing energy sources, a great scope lies in the use of Rankin cycle-based thermal power plants. Today, the gross efficiency of Rankin cycle-based thermal power plants is less than 28% which has been increased up to 40% with reheating and regenerative cycles. But, it can be further improved up to 47% by using supercritical power plant technology. Supercritical power plants use supercritical boilers which are able to withstand a very high temperature (650-720˚C and pressure (22.1 MPa while producing superheated steam. The thermal efficiency of a supercritical boiler greatly depends on the material of its different components. The supercritical boiler material should possess high creep rupture strength, high thermal conductivity, low thermal expansion, high specific heat and very high temperature withstandability. This paper considers a list of seven supercritical boiler materials whose performance is evaluated based on seven pivotal criteria. Given the intricacy and difficulty of this supercritical boiler material selection problem having interactions and interdependencies between different criteria, this paper applies fuzzy analytic network process to select the most appropriate material for a supercritical boiler. Rene 41 is the best supercritical boiler material, whereas, Haynes 230 is the worst preferred choice.

  11. Estimating market share of white goods sector in Turkey with analytic network process

    OpenAIRE

    2010-01-01

    In this paper, it is tried to predict the market shares of the largest three companies in the white goods sector in Turkey through the use of the analytic network process. These companies are highly competitive in the white goods sector. To attract new customers and to retain the current ones, they have to compete by setting reasonable prices, produce high quality products and expand their service networks. In line with the sequence of analytic network process, first of all, an estimation of...

  12. DECISION MAKING-THE ANALYTIC HIERARCHY AND NETWORK PROCESSES(AHP/ANP)

    Institute of Scientific and Technical Information of China (English)

    Thomas L.SAATY

    2004-01-01

    This is the first part of an introduction to multicriteria decision making using the Analytic Hierarchy Process (AHP) and its generalization, the Analytic Network Process (ANP). The discussion involves individual and group decisions both with the independence of the criteria from the alternatives as in the AHP and also with dependence and feedback in the entire decision structure as in the ANP. This part explains the Analytic Hierarchy Process, with examples, and presents in some detail the mathematical foundations. An exposition of the Analytic Network Process and its applications will appear in later issues of this journal.

  13. Improving intellectual capital model using analytic network process

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    Ratapol Wudhikarn

    2013-06-01

    Full Text Available This study proposes a new approach to prioritize the key company’s indicators and relative elements following process model of intellectual capital (IC. The IC is improved by the application ofanalytic network process (ANP. The ANP provides the weights and priorities to all focused key performance indicators (KPIs serving to the business concept. These obtained weights can also be passedto other relative elements, those of key success factors (KSFs and IC categories, in the process model of IC. These prioritized KPIs, KSFs and IC categories assist the managers and decision-makers to focus on the crucial elements that mostly affect the business concept.

  14. INTEGRATED ENVIRONMENTAL ASSESSMENT OF THE MID-ATLANTIC REGION WITH ANALYTICAL NETWORK PROCESS

    Science.gov (United States)

    A decision analysis method for integrating environmental indicators was developed. This was a combination of Principal Component Analysis (PCA) and the Analytic Network Process (ANP). Being able to take into account interdependency among variables, the method was capable of ran...

  15. An analytic network process model for municipal solid waste disposal options.

    Science.gov (United States)

    Khan, Sheeba; Faisal, Mohd Nishat

    2008-01-01

    The aim of this paper is to present an evaluation method that can aid decision makers in a local civic body to prioritize and select appropriate municipal solid waste disposal methods. We introduce a hierarchical network (hiernet) decision structure and apply the analytic network process (ANP) super-matrix approach to measure the relative desirability of disposal alternatives using value judgments as the input of the various stakeholders. ANP is a flexible analytical program that enables decision makers to find the best possible solution to complex problems by breaking down a problem into a systematic network of inter-relationships among the various levels and attributes. This method therefore may not only aid in selecting the best alternative but also helps decision makers to understand why an alternative is preferred over the other options.

  16. Determination of Optimal Opening Scheme for Electromagnetic Loop Networks Based on Fuzzy Analytic Hierarchy Process

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    Yang Li

    2016-01-01

    Full Text Available Studying optimization and decision for opening electromagnetic loop networks plays an important role in planning and operation of power grids. First, the basic principle of fuzzy analytic hierarchy process (FAHP is introduced, and then an improved FAHP-based scheme evaluation method is proposed for decoupling electromagnetic loop networks based on a set of indicators reflecting the performance of the candidate schemes. The proposed method combines the advantages of analytic hierarchy process (AHP and fuzzy comprehensive evaluation. On the one hand, AHP effectively combines qualitative and quantitative analysis to ensure the rationality of the evaluation model; on the other hand, the judgment matrix and qualitative indicators are expressed with trapezoidal fuzzy numbers to make decision-making more realistic. The effectiveness of the proposed method is validated by the application results on the real power system of Liaoning province of China.

  17. ANALYTIC NETWORK PROCESS AND BALANCED SCORECARD APPLIED TO THE PERFORMANCE EVALUATION OF PUBLIC HEALTH SYSTEMS

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    Marco Aurélio Reis dos Santos

    2015-08-01

    Full Text Available The performance of public health systems is an issue of great concern. After all, to assure people's quality of life, public health systems need different kinds of resources. Balanced Scorecard provides a multi-dimensional evaluation framework. This paper presents the application of the Analytic Network Process and Balanced Scorecard in the performance evaluation of a public health system in a typical medium-sized Southeastern town in Brazil.

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

    OpenAIRE

    Hooman Pourmohammad; Mostafa Zandieh; Hasan Farsijani

    2016-01-01

    This paper seeks to identify the priority of factors affecting the quality of banking services in Bank Saderat Iran for better allocation of resources to enhance the quality of its banking services. The study develops a fuzzy method to handle uncertainty associated with the data and using analytical network process (ANP) ranks different factors influencing on service quality. The results have indicated that the quality of e-services (ESQ) is the most important factor followed by the quality o...

  19. HOW DO STUDENTS SELECT SOCIAL NETWORKING SITES? AN ANALYTIC HIERARCHY PROCESS (AHP MODEL

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    Chun Meng Tang

    2015-12-01

    Full Text Available Social networking sites are popular among university students, and students today are indeed spoiled for choice. New emerging social networking sites sprout up amid popular sites, while some existing ones die out. Given the choice of so many social networking sites, how do students decide which one they will sign up for and stay on as an active user? The answer to this question is of interest to social networking site designers and marketers. The market of social networking sites is highly competitive. To maintain the current user base and continue to attract new users, how should social networking sites design their sites? Marketers spend a fairly large percent of their marketing budget on social media marketing. To formulate an effective social media strategy, how much do marketers understand the users of social networking sites? Learning from website evaluation studies, this study intends to provide some answers to these questions by examining how university students decide between two popular social networking sites, Facebook and Twitter. We first developed an analytic hierarchy process (AHP model of four main selection criteria and 12 sub-criteria, and then administered a questionnaire to a group of university students attending a course at a Malaysian university. AHP analyses of the responses from 12 respondents provided an insight into the decision-making process involved in students’ selection of social networking sites. It seemed that of the four main criteria, privacy was the top concern, followed by functionality, usability, and content. The sub-criteria that were of key concern to the students were apps, revenue-generating opportunities, ease of use, and information security. Between Facebook and Twitter, the students thought that Facebook was the better choice. This information is useful for social networking site designers to design sites that are more relevant to their users’ needs, and for marketers to craft more effective

  20. Social network data analytics

    CERN Document Server

    Aggarwal, Charu C

    2011-01-01

    Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Pr

  1. Prioritization of Integrated Bicycle Network Clusters in Istanbul Using Analytic Hierarchy Process

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    Dilek Çol Yılmaz

    2014-06-01

    Full Text Available In this study, the impact of the integration of nonmotorized transport and public transport on hypermobility was evaluated. The role of bicycle in non-motorized transportation, and its contribution to sustainable travel goals were examined. A decision support model was established in order to plan the phases of a bicycle network integrated with the public transport sytem in Istanbul Metropolitan Area. Data such as public transport routes planned for the target year 2023, locations of transfer centers, number of passengers at transfer centers, and a revised bicycle network were used as layers for the Geographic Information Systems (GIS map produced. Based on the survey data collected from the experts, Analytic Hierarchy Process (AHP which is a multi-criteria decision-making procedure that contains both qualitative and quantitative factors was used to prioritize the bicycle network clusters integrated with public transport system in Istanbul.

  2. Green supply chain management strategy selection using analytic network process: case study at PT XYZ

    Science.gov (United States)

    Adelina, W.; Kusumastuti, R. D.

    2017-01-01

    This study is about business strategy selection for green supply chain management (GSCM) for PT XYZ by using Analytic Network Process (ANP). GSCM is initiated as a response to reduce environmental impacts from industrial activities. The purposes of this study are identifying criteria and sub criteria in selecting GSCM Strategy, and analysing a suitable GSCM strategy for PT XYZ. This study proposes ANP network with 6 criteria and 29 sub criteria, which are obtained from the literature and experts’ judgements. One of the six criteria contains GSCM strategy options, namely risk-based strategy, efficiency-based strategy, innovation-based strategy, and closed loop strategy. ANP solves complex GSCM strategy-selection by using a more structured process and considering green perspectives from experts. The result indicates that innovation-based strategy is the most suitable green supply chain management strategy for PT XYZ.

  3. Analytic network process (ANP approach for product mix planning in railway industry

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    Hadi Pazoki Toroudi

    2016-08-01

    Full Text Available Given the competitive environment in the global market in recent years, organizations need to plan for increased profitability and optimize their performance. Planning for an appropriate product mix plays essential role for the success of most production units. This paper applies analytical network process (ANP approach for product mix planning for a part supplier in Iran. The proposed method uses four criteria including cost of production, sales figures, supply of raw materials and quality of products. In addition, the study proposes different set of products as alternatives for production planning. The preliminary results have indicated that that the proposed study of this paper could increase productivity, significantly.

  4. APLIKASI ANALYTIC NETWORK PROCESS (ANP PADA PERANCANGAN SISTEM PENGUKURAN KINERJA (Studi Kasus pada PT. X

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    Iwan Vanany

    2003-01-01

    Full Text Available The paper discusses the application of Analytic Network Process (ANP to support the weighted of design performance measurement system with Balanced Scorecard method. During the time, the weighted uses method that disregarding interdependence between objectives strategy and Key Performance Indicator (KPI's. The method which often used in this weighted is Analytical Hierarchy Process (AHP. In fact this condition does not express the concept of strategy map of Balanced Scorecard. Therefore is needed apply the other weighted method which attention to the interdependence between Key Performance Indicator (KPI. Application of the weighted with ANP method is conducted at one of the power company. This company represents result of restructuring of PT. PLN (Persero. The result of design performance measurement system of PT. X are objective strategy, Key Performance Indicator (KPI and strategy map, will be weighted by method of ANP. Further more Modeling of ANP based on strategy map. The result of application indicates that related of model of strategy map in Balanced Scorecard at PT. X is Feedback Network (hiernet with phenomenon of inner and dependence of outer dependence. The perspective on Balanced Scorecard is identically with cluster on ANP, while objective strategy and KPI are identically with sub-element and element. Result of weighted with ANP method shows the existence of culmination of weighted on financial perspective of Strategy Map at PT. X. Abstract in Bahasa Indonesia : Makalah ini membahas aplikasi Analytic Network Process (ANP untuk mendukung pembobotan pada perancangan sistem pengukuran kinerja dengan metode Balanced Scorecard. Selama ini, pembobotan yang ada menggunakan metode yang mengabaikan saling keterkaitan antar strategi objektif dengan Key Performance Indicator (KPI-KPI -nya. Metode yang sering digunakan didalam pembobotan ini adalah Analytical Hierarchy Process (AHP. Kondisi ini sebenarnya tidak mencerminkan konsep Strategy Map

  5. Assessment of wastewater treatment alternatives for small communities: An analytic network process approach.

    Science.gov (United States)

    Molinos-Senante, María; Gómez, Trinidad; Caballero, Rafael; Hernández-Sancho, Francesc; Sala-Garrido, Ramón

    2015-11-01

    The selection of the most appropriate wastewater treatment (WWT) technology is a complex problem since many alternatives are available and many criteria are involved in the decision-making process. To deal with this challenge, the analytic network process (ANP) is applied for the first time to rank a set of seven WWT technology set-ups for secondary treatment in small communities. A major advantage of ANP is that it incorporates interdependent relationships between elements. Results illustrated that extensive technologies, constructed wetlands and pond systems are the most preferred alternatives by WWT experts. The sensitivity analysis performed verified that the ranking of WWT alternatives is very stable since constructed wetlands are almost always placed in the first position. This paper showed that ANP analysis is suitable to deal with complex decision-making problems, such as the selection of the most appropriate WWT system contributing to better understand the multiple interdependences among elements involved in the assessment.

  6. A fuzzy analytic network process for multi-criteria evaluation of contaminated site remedial countermeasures.

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    Promentilla, Michael Angelo B; Furuichi, T; Ishii, K; Tanikawa, N

    2008-08-01

    The Analytic Network Process (ANP) has been proposed to incorporate interdependence and feedback effect in the prioritization of remedial countermeasures using a hierarchical network decision model, but this approach seems to be incapable of capturing the vagueness and fuzziness during value judgment elicitation. The aim of this paper is to present an evaluation method using a fuzzy ANP (FANP) approach to address this shortcoming. Triangular fuzzy numbers (TFN) and their degree of fuzziness are used in the semantic scale as human judgment expressed in natural language is most often vague and fuzzy. The method employs the alpha-cuts, interval arithmetic and optimism index to transform the fuzzy comparative judgment matrix into set of crisp matrices, and then calculates the desired priorities using the eigenvector method. A numerical example, which was drawn from a real-life case study of an uncontrolled landfill in Japan, is presented to demonstrate the process. Results from the sensitivity analysis describe how the fuzziness in judgment could affect the solution robustness of the prioritization method. The proposed FANP approach therefore could effectively deal with the uncertain judgment inherent in the decision making process and derive the meaningful priorities explicitly from a complex decision structure in the evaluation of contaminated site remedial countermeasures.

  7. An analytic network process approach for locating undesirable facilities: an example from Istanbul, Turkey.

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    Tuzkaya, Gülfem; Onüt, Semih; Tuzkaya, Umut R; Gülsün, Bahadir

    2008-09-01

    Locating an undesirable facility is a sophisticated problem, for the evaluation procedures involve several objectives and the solution to the problem calls for some compromises to be made between probable conflicting criteria. This paper addresses the problem of undesirable facility location selection using the analytic network process (ANP), a multi-criteria decision-making technique. The ANP technique enables us to consider both qualitative and quantitative criteria as well as the interdependencies and feedbacks. A number of criteria (benefits, opportunities, costs and risks) and their sub-criteria are considered for siting a new facility with which this study has dealt. The questions of what criteria would be considered and what the interdependencies between these criteria and their weights would be were discussed and determined via interviews with some competent authorities of the Istanbul Municipality and of two environmental organizations. Four representative locations were evaluated and the most convenient one was selected. This was followed by the sensitivity analyses of the results.

  8. COMPARISON OF THE ANALYTIC NETWORK PROCESS AND THE GRAPH MODEL FOR CONFLICT RESOLUTION

    Institute of Scientific and Technical Information of China (English)

    Xin SU; Ye CHEN; Keith W. HIPEL; D. Marc KILGOUR

    2005-01-01

    A comparison of two decision analysis tools for the analysis of strategic conflicts, the Analytic Network Process (ANP) and the graph model for conflict resolution, is carried out by applying them to the China-US TV dumping conflict. Firstly, the graph model is introduced along with practical procedures for modeling and analyzing conflicts using the decision support software, GMCR Ⅱ. Next,ANP is explained, emphasizing structural features and procedures for synthesizing priorities. Then a framework for employing ANP to analyze strategic conflicts is designed and used to compare ANP to the graph model. The case study of the China-US TV dumping conflict provides a basis for the graph model and ANP to be compared; different features of the approaches are highlighted. The study shows that because of different theoretical backgrounds, ANP and the graph model for conflict analysis both provide useful information which can be combined to furnish a better understanding of a strategic conflict.

  9. Comparison of the Helicobacter Pylori Diagnosis Methods with Analytic Network Process

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    Hacer KONAKLI

    2015-11-01

    Full Text Available Helicobacter pylori is infecting %70-80 of the world’s population and is assumed to cause gastric diseases. Diagnosis of the bacteria is crucial for the treatment of the bacteria related infections. Histology, culture, urea breath test, stool antigen test some of the diagnosis methods each having specific strength and weaknesses as sensitivity, specificity, cost, easiness, time, effectiveness in the treatment and laboratory requirements. In this study, three of the commonly used H. pylori diagnosis methods: histology, culture and urea breath test, are evaluated with Analytic network process (ANP and the rank of the criteria and alternatives are obtained. The evaluation of the methods and the rank of the diagnosis methods can reduce time, cost, and validity of the test results.

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

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    Hooman Pourmohammad

    2016-06-01

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

  11. Analytic network process model for sustainable lean and green manufacturing performance indicator

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    Aminuddin, Adam Shariff Adli; Nawawi, Mohd Kamal Mohd; Mohamed, Nik Mohd Zuki Nik

    2014-09-01

    Sustainable manufacturing is regarded as the most complex manufacturing paradigm to date as it holds the widest scope of requirements. In addition, its three major pillars of economic, environment and society though distinct, have some overlapping among each of its elements. Even though the concept of sustainability is not new, the development of the performance indicator still needs a lot of improvement due to its multifaceted nature, which requires integrated approach to solve the problem. This paper proposed the best combination of criteria en route a robust sustainable manufacturing performance indicator formation via Analytic Network Process (ANP). The integrated lean, green and sustainable ANP model can be used to comprehend the complex decision system of the sustainability assessment. The finding shows that green manufacturing is more sustainable than lean manufacturing. It also illustrates that procurement practice is the most important criteria in the sustainable manufacturing performance indicator.

  12. Modelling and assessment of dependent performance shaping factors through Analytic Network Process

    Energy Technology Data Exchange (ETDEWEB)

    De Ambroggi, Massimiliano, E-mail: massimiliano.deambroggi@mail.polimi.i [Politecnico di Milano, Department of Management, Economics and Industrial Engineering, Piazza Leonardo da Vinci 32, Milan 20132 (Italy); Trucco, Paolo [Politecnico di Milano, Department of Management, Economics and Industrial Engineering, Piazza Leonardo da Vinci 32, Milan 20132 (Italy)

    2011-07-15

    Despite continuous progresses in research and applications, one of the major weaknesses of current HRA methods dwells in their limited capability of modelling the mutual influences between performance shaping factors (PSFs). Indeed at least two types of dependencies between PSFs can be defined: (i) dependency between the states of the PSFs; (ii) dependency between the influences (impacts) of the PSFs on the human performance. This paper introduces a method, based on Analytic Network Process (ANP), for the quantification of the latter, where the overall contribution of each PSF (weight) to the human error probability (HEP) is eventually returned. The core of the method is the modelling process, articulated into two steps: firstly, a qualitative network of dependencies between PSFs is identified, then, the importance of each PSF is quantitatively assessed using ANP. The model allows to distinguish two components of the PSF influence: direct influence that is the influence that the considered PSF is able to express by itself, notwithstanding the presence of other PSFs and indirect influence that is the incremental influence of the considered PSF through its influence on other PSFs. A case study in Air Traffic Control is presented where the proposed approach is integrated into the cognitive simulator PROCOS. The results demonstrated a significant modification of the influence of PSFs over the operator performance when dependencies are taken into account, underlining the importance of considering not only the possible correlation between the states of PSFs but also their mutual dependency in affecting human performance in complex systems.

  13. FUNDAMENTALS OF THE ANALYTIC NETWORK PROCESS - DEPENDENCE AND FEEDBACK IN DECISION-MAKING WITH A SINGLE NETWORK

    Institute of Scientific and Technical Information of China (English)

    Thomas L.SAATY

    2004-01-01

    The Analytic Network Process (ANP) is a multicriteria theory of measurement used to derive relative priority scales of absolute numbers from individual judgments (or from actual measurements normalized to a relative form) that also belong to a fundamental scale of absolute numbers. These judgments represent the relative influence, of one of two elements over the other in a pairwise comparison process on a third element in the system, with respect to an underlying control criterion.Through its supermatrix, whose entries are themselves rratrices of column priorities, the ANP synthesizes the outcome of dependence and feedback within and between clusters of elements. The Analytic Hierarchy Process (AHP) with its independence assumptions on upper levels from lower levels and the independence of the elements in a level is a special case of the ANP. The ANP is an essential tool for articulating our understanding of a decision problem. One had to overcome the limitation of linear hierarchic structures and their mathematical consequences. This part on the ANP summarizes and illustrates the basic concepts of the ANP and shows how informed intuitive judgments can lead to real life answers that are matched by actual measurements in the real world (for example, relative dollar values) as illustrated in market share examples that rely on judgments and not on numerical data.

  14. Manufacturing plant location selection in logistics network using Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Ping-Yu Chang

    2015-11-01

    Full Text Available Purpose: In recent years, numerous companies have moved their manufacturing plants to China to capitalize on lower cost and tax. Plant location has such an impact on cost, stocks, and logistics network but location selection in the company is usually based on subjective preference of high ranking managers. Such a decision-making process might result in selecting a location with a lower fixed cost but a higher operational cost. Therefore, this research adapts real data from an electronics company to develop a framework that incorporates both quantitative and qualitative factors for selecting new plant locations. Design/methodology/approach: In-depth interviews were conducted with 12 high rank managers (7 of them are department manager, 2 of them are vice-president, 1 of them is senior engineer, and 2 of them are plant manager in the departments of construction, finance, planning, production, and warehouse to determine the important factors. A questionnaire survey is then conducted for comparing factors which are analyzed using the Analytic Hierarchy Process (AHP. Findings: Results show that the best location chosen by the developed framework coincides well with the company’s primal production base. The results have been presented to the company’s high ranking managers for realizing the accuracy of the framework. Positive responses of the managers indicate usefulness of implementing the proposed model into reality, which adds to the value of this research. Practical implications: The proposed framework can save numerous time-consuming meetings called to compromise opinions and conflictions from different departments in location selection. Originality/value: This paper adapts the Analytic Hierarchy Process (AHP to incorporate quantitative and qualitative factors which are obtained through in-depth interviews with high rank managers in a company into the location decision.

  15. A Hybrid Fuzzy Analytic Network Process Approach to the New Product Development Selection Problem

    Directory of Open Access Journals (Sweden)

    Chiuh-Cheng Chyu

    2014-01-01

    Full Text Available New product development selection is a complex decision-making process. To uphold their competence in competitive business environments, enterprises are required to continuously introduce novel products into markets. This paper presents a fuzzy analytic network process (FANP for solving the product development selection problem. The fuzzy set theory is adopted to represent ambiguities and vagueness involved in each expert’s judgment. In the proposed model, the fuzzy Kano method and fuzzy DEMATEL are employed to filter criteria and establish interactions among the criteria, whereas the SAM is applied to aggregate experts’ opinions. Unlike the commonly used top-down relation-structuring approach, the proposed FANP first identifies the interdependence among the criteria and then the identified relationships are mapped to the clusters. This approach is more realistic, since the inner and outer relationships between criteria are simultaneously considered to establish the relationships among clusters. The proposed model is illustrated through a real life example, with a comparative analysis using modified TOPSIS and gray relation analysis in the synthesizing phase. The concluded results were approved by the case company. The proposed methodology not only is useful in the case study, but also can be generally applied in other similar decision situations.

  16. Solid waste facilities location using of analytical network process and data envelopment analysis approaches.

    Science.gov (United States)

    Khadivi, M R; Fatemi Ghomi, S M T

    2012-06-01

    Selection of the appropriate site for solid waste facilities is a complex problem and requires an extensive evaluation process, because it is very difficult to develop a selection criterion that can precisely describe the preference of one location over another. Therefore selection of these sites can be viewed as a multiple criteria decision-making or multiple attributes decision-making problem. For this purpose, we propose a technique that can effectively take managerial preferences and subjective data into consideration, along with quantitative factors. The tool proposed here relies on the use of the analytical network process (ANP) and to help integrate managerial evaluations into a more quantitatively based decision tool, data envelopment analysis (DEA) is applied. In this paper, a location selection procedure is presented to construct an undesirable facility applying ANP and DEA approaches in two stages. In the first stage ANP approach is used, results of this stage are inputs for the second stage. In this stage, DEA is applied to select the best location. Finally, to illustrate the proposed framework, at "Results and discussion" section, a total of four undesirable facility locations are evaluated.

  17. Analyzing the urban development of Isfahan districts in the housing sector using analytic network process (ANP

    Directory of Open Access Journals (Sweden)

    S. Hadizadeh Zargar

    2013-01-01

    Full Text Available Extended abstract1-IntroductionDevelopment is a multidimensional and complex process that involves making changes in social attitudes and national institutions as well as accelerating the economic growth, reducing inequalities and eradicating poverty. Housing is considered as an integral part of development in a society. With its large economic, social, cultural, environmental, and physical dimensions, this sector plays a pivotal role in presenting the characteristics and improving the appearance of the society in general. Identifying and assessing the housing condition in a country depends on the detection and analysis of the factors affecting housing, which can be considered as guidelines for the resource allocation in future planning and for promoting justice and sustainable development. Isfahan city, with a population of over one million people, is the third most populous city in the country and has fourteen districts. This research can help policymakers and planners alleviate the poverty, promote the social justice and formulate appropriate policies by looking into the indicators of the housing sector in the fourteen districts of Isfahan and their ranking using analytic network process. 2- Theoretical BasesHousing is an extremely complex and extensive issue with different spatial, architectural, physical, economic, social, financial, psychological and medical aspects. As such, in this study various definitions have been proposed that, for example, deal with housing as a physical location and as a shelter, considering it as one of the basic needs of the households. In addition to the physical location, the housing includes the entire residential environment, which has various dimensions and goes beyond the physical shelter. Housing is the first unit of society and the most important unit of human settlements that represents the smallest unit of the planning. Most governments, in response to the importance of housing, incorporate the housing

  18. Analisis Masalah Pengembangan Perbankan Syariah di Indonesia: Aplikasi Metode Analytic Network Process

    Directory of Open Access Journals (Sweden)

    Aam Slamet Rusydiana

    2016-09-01

    Full Text Available The Development Problems Analysis of Islamic Banking in Indonesia: Application Analytic Network Process MethodThis study would try to address the problems that faced by Islamic banking institutions in Indonesia. The results showed that the problems that arise in the development of Islamic banks in Indonesia consists of four important aspects, namely: human, technical, legal/structural aspect, and market/communal aspect. Decomposition of problem as a whole gains the priorities: 1 There is not enough of Islamic banks capital yet; 2 Lack of understanding of Islamic bank practitioners; 3 Lack of government support; 4 the trust and public interest to Islamic banks tend to be low.While the priority of policy strategies that are considered able to resolve the problems of Islamic banking industry in Indonesia consists of: 1 strengthen the capital and business scale and improve the efficiency level; 2 improve the quantity and quality of human resources, and also information systems and technologies; Furthermore, 3 improve the structure of Islamic bank funds and harmonization of regulation and supervision. DOI: 10.15408/ess.v6i2.3573

  19. Evaluating water management strategies in watersheds by new hybrid Fuzzy Analytical Network Process (FANP) methods

    Science.gov (United States)

    RazaviToosi, S. L.; Samani, J. M. V.

    2016-03-01

    Watersheds are considered as hydrological units. Their other important aspects such as economic, social and environmental functions play crucial roles in sustainable development. The objective of this work is to develop methodologies to prioritize watersheds by considering different development strategies in environmental, social and economic sectors. This ranking could play a significant role in management to assign the most critical watersheds where by employing water management strategies, best condition changes are expected to be accomplished. Due to complex relations among different criteria, two new hybrid fuzzy ANP (Analytical Network Process) algorithms, fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and fuzzy max-min set methods are used to provide more flexible and accurate decision model. Five watersheds in Iran named Oroomeyeh, Atrak, Sefidrood, Namak and Zayandehrood are considered as alternatives. Based on long term development goals, 38 water management strategies are defined as subcriteria in 10 clusters. The main advantage of the proposed methods is its ability to overcome uncertainty. This task is accomplished by using fuzzy numbers in all steps of the algorithms. To validate the proposed method, the final results were compared with those obtained from the ANP algorithm and the Spearman rank correlation coefficient is applied to find the similarity in the different ranking methods. Finally, the sensitivity analysis was conducted to investigate the influence of cluster weights on the final ranking.

  20. Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS

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    Gülşen Akman

    2013-01-01

    Full Text Available Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components.

  1. Using the Analytical Network Process to Select the Best Strategy for Reducing Risks in a Supply Chain

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    L. Hosseini

    2013-01-01

    Full Text Available This paper considers four types of the most prominent risks in the supply chain. Their subcriteria and relations between them and within the network are also considered. In a supply chain, risks are mostly created by fluctuations. The aim of this study is to adopt a strategy for eliminating or reducing risks in a supply chain network. Having various solutions helps the supply chain to be resilient. Therefore, five alternatives are considered, namely, total quality management (TQM, leanness, alignment, adaptability, and agility. This paper develops a new network of supply chain risks by considering the interactions between risks. Perhaps, the network elements have interacted with some or all of the factors (clusters or subfactors. We constitute supply chain risks in the analytic network process (ANP, which attracted less attention in the previous studies. Most of the studies about making a decision in supply chains have been applied in analytic hierarchy process (AHP network. The present study considers the ANP as a well-known multicriteria decision making (MCDM technique to choose the best alternative, because of the interdependency and feedbacks of different levels of the network. Finally, the ANP selects TQM as the best alternative among the considered ones.

  2. The Analytical Hierarchy Process

    DEFF Research Database (Denmark)

    Barfod, Michael Bruhn

    2007-01-01

    The technical note gathers the theory behind the Analytical Hierarchy Process (AHP) and present its advantages and disadvantages in practical use.......The technical note gathers the theory behind the Analytical Hierarchy Process (AHP) and present its advantages and disadvantages in practical use....

  3. A hybrid analytical network process and fuzzy goal programming for supplier selection: A case study of auto part maker

    OpenAIRE

    Hesam Zande Hesami; Mohammad Ali Afshari; Seyed Ali Ayazi; Javad Siahkali Moradi

    2011-01-01

    The aim of this research is to present a hybrid model to select auto part suppliers. The proposed method of this paper uses factor analysis to find the most influencing factors on part maker selection and the results are validated using different statistical tests such as Cronbach's Alpha and Kaiser-Meyer.The hybrid model uses analytical network process to rank different part maker suppliers and fuzzy goal programming to choose the appropriate alternative among various choices. The implementa...

  4. An Analytic Network Process approach for siting a municipal solid waste plant in the Metropolitan Area of Valencia (Spain).

    Science.gov (United States)

    Aragonés-Beltrán, Pablo; Pastor-Ferrando, Juan Pascual; García-García, Fernando; Pascual-Agulló, Amadeo

    2010-05-01

    In this paper the Analytic Network Process (ANP) is applied to select the best location for the construction of a municipal solid waste (MSW) plant in the Metropolitan area of Valencia (Spain). Selection of the appropriate MSW facility location can be viewed as a complex multicriteria decision-making problem that requires an extensive evaluation process of the potential MSW plant locations and other factors as diverse as economic, technical, legal, social or environmental issues. The decision-making process includes the identification of six candidate MSW plant sites and 21 criteria grouped into clusters for the construction of a network. Two technicians of the Metropolitan Waste Disposal Agency acted as decision makers (DMs). The influences between the elements of the network were identified and analyzed using the ANP multicriteria decision method. Two different ANP models were used: one hierarchy model (that considers AHP as a particular case of ANP) and another network-based model. The results obtained in each model were compared and analyzed. The strengths and weaknesses of ANP as a multicriteria decision analysis tool are also described in the paper. The main findings of this research have proved that ANP is a useful tool to help technicians to make their decision process traceable and reliable. Moreover, this approach helps DMs undertake a sound reflection of the siting problem.

  5. A hybrid analytical network process and fuzzy goal programming for supplier selection: A case study of auto part maker

    Directory of Open Access Journals (Sweden)

    Hesam Zande Hesami

    2011-10-01

    Full Text Available The aim of this research is to present a hybrid model to select auto part suppliers. The proposed method of this paper uses factor analysis to find the most influencing factors on part maker selection and the results are validated using different statistical tests such as Cronbach's Alpha and Kaiser-Meyer.The hybrid model uses analytical network process to rank different part maker suppliers and fuzzy goal programming to choose the appropriate alternative among various choices. The implementation of the proposed model of this paper is used for a case study of real-world problem and the results are discussed.

  6. A Project Strategic Index proposal for portfolio selection in electrical company based on the Analytic Network Process

    Energy Technology Data Exchange (ETDEWEB)

    Smith-Perera, Aida [Universidad Metropolitana de Caracas, Departamento de Gestion Tecnologica, Caracas 1071, Edo Miranda (Venezuela); Garcia-Melon, Monica; Poveda-Bautista, Rocio; Pastor-Ferrando, Juan-Pascual [Universidad Politecnica de Valencia, Departamento de Proyectos de Ingenieria, Camino de vera s/n 46022 Valencia (Spain)

    2010-08-15

    In this paper a new approach to prioritize project portfolio in an efficient and reliable way is presented. It is based on strategic objectives of the company and multicriteria decision methods. The paper introduces a rigorous method with acceptable complexity which seeks to assist managers of a big Electrical Company of Venezuela to distribute the annual budget among the possible improvement actions to be conducted on the electrical network of Caracas. A total of 15 network improvement actions grouped into three clusters according to the strategic objectives of the company have been analyzed using the Project Strategic Index (PSI) proposed. The approach combines the use of the Analytic Network Process (ANP) method with the information obtained from the experts during the decision-making process. The ANP method allows the aggregation of the experts' judgments on each of the indicators used into one Project Strategic Index. In addition, ANP is based on utility ratio functions which are the most appropriate for the analysis of uncertain data, like experts' estimations. Finally, unlike the other multicriteria techniques, ANP allows the decision problem to be modelled using the relationships among dependent criteria. The participating experts coincided in the appreciation that the method proposed in this paper is useful and an improvement from traditional budget distribution techniques. They find the results obtained coherent, the process seems sufficiently rigorous and precise, and the use of resources is significantly less than in other methods. (author)

  7. Analytic Networks in Music Task Definition.

    Science.gov (United States)

    Piper, Richard M.

    For a student to acquire the conceptual systems of a discipline, the designer must reflect that structure or analytic network in his curriculum. The four networks identified for music and used in the development of the Southwest Regional Laboratory (SWRL) Music Program are the variable-value, the whole-part, the process-stage, and the class-member…

  8. Evaluation of soil erosion risk using Analytic Network Process and GIS: a case study from Spanish mountain olive plantations.

    Science.gov (United States)

    Nekhay, Olexandr; Arriaza, Manuel; Boerboom, Luc

    2009-07-01

    The study presents an approach that combined objective information such as sampling or experimental data with subjective information such as expert opinions. This combined approach was based on the Analytic Network Process method. It was applied to evaluate soil erosion risk and overcomes one of the drawbacks of USLE/RUSLE soil erosion models, namely that they do not consider interactions among soil erosion factors. Another advantage of this method is that it can be used if there are insufficient experimental data. The lack of experimental data can be compensated for through the use of expert evaluations. As an example of the proposed approach, the risk of soil erosion was evaluated in olive groves in Southern Spain, showing the potential of the ANP method for modelling a complex physical process like soil erosion.

  9. Implementasi Life Cycle Assessment (LCA dan Pendekatan Analytical Network Process (ANP untuk Pengembangan Produk Hetric Lamp yang Ramah Lingkungan

    Directory of Open Access Journals (Sweden)

    Kadek Aditya Pringgajaya

    2012-09-01

    Full Text Available Mempertimbangkan produk ramah lingkungan yang menjadi isu lingkungan belakangan ini, product hetric lamp telah dicitrakan sebagai produk yang ramah lingkungan dilihat dari material penyusun produk serta fungsi produk. Tetapi, perusahaan dalam mencitrakan produknya sebagai green product tidak memperhatikan perspektif ramah lingkungan dari sisi life cycle produk yang dihasilkan.  Pada penelitian ini akan diidentifikasi apakah produk hetric lamp benar-benar memiliki kriteria ramah lingkungan dilihat dari sisi life cycle produk dengan menggunakan pendekatan Life Cycle Assessment (LCA. Dari hasil Life Cycle Assessment (LCA diketahui bahwa bagian proses produksi memiliki dampak terbesar yaitu sebesar 60.2 Pt. Dari hasil Life Cycle Assessment (LCA tersebut kemudian ditemukan empat alternatif utama yang akan dipilih untuk mengurangi dampak lingkungan pada proses produksi dengan menggunakan metode Analytical Network Process (ANP. Metode ANP digunakan pada penelitian ini dikarenakan data-data yang ada memiliki hubungan keterkaitan antara satu elemen kriteria dengan elemen kriteria lainnya dan hubungan keterkaitan antara kriteria dengan subkriterianya.

  10. Process Analytical Chemistry

    Energy Technology Data Exchange (ETDEWEB)

    Veltkamp, David J.(VISITORS); Doherty, Steve D.(BCO); Anderson, B B.(VISITORS); Koch, Mel (University of Washington); Bond, Leonard J.(BATTELLE (PACIFIC NW LAB)); Burgess, Lloyd W.(VISITORS); Ullman, Alan H.(UNKNOWN); Bamberger, Judith A.(BATTELLE (PACIFIC NW LAB)); Greenwood, Margaret S.(BATTELLE (PACIFIC NW LAB))

    1999-06-15

    This review of process analytical chemistry is an update to the previous review on this subject published in 1995(A2). The time period covered for this review includes publications written or published from late 1994 until early 1999, with the addition of a few classic references pointing to background information critical to an understanding of a specific topic area. These older references have been critically included as established fundamental works. New topics covered in this review not previously treated as separate subjects in past reviews include sampling systems, imaging (via optical spectroscopy), and ultrasonic analysis.

  11. Evaluating sustainable forest management strategies with the Analytic Network Process in a Pressure-State-Response framework.

    Science.gov (United States)

    Wolfslehner, Bernhard; Vacik, Harald

    2008-07-01

    Nowadays forestry faces a complex management situation; the understanding of sustainable forest management (SFM) has gone far beyond the original meaning of sustainable yield of timber. SFM strategies should fulfil ecological, economic and social functions without causing damage to other ecosystems. In this understanding, forest management actions cannot be seen as isolated or mono-causal. In this case study, indicators for SFM are arranged in a Pressure-State-Response (PSR) framework at forest management unit level. This framework links pressures on the environment caused by human activities with changes of environmental state (condition) parameters. Forest management also responds to these changes by instituting environmental and economic measures to reduce pressures and restore natural resources. The Analytic Network Process (ANP) is utilized to evaluate the performance of four management strategies with regard to the PSR framework on SFM. Priorities of indicators and alternatives are modelled with the ANP resulting from the interconnections to other indicators and their respective cumulative importance. The approach allows for more detailed information on the network of human influences and their impacts on forest ecosystems and goes beyond the limitations of flat-dimensioned indicator sets.

  12. Public Key Infrastructure (PKI) And Virtual Private Network (VPN) Compared Using An Utility Function And The Analytic Hierarchy Process (AHP)

    OpenAIRE

    Wagner, Edward Dishman

    2002-01-01

    This paper compares two technologies, Public Key Infrastructure (PKI) and Virtual Private Network (VPN). PKI and VPN are two approaches currently in use to resolve the problem of securing data in computer networks. Making this comparison difficult is the lack of available data. Additionally, an organization will make their decision based on circumstances unique to their information security needs. Therefore, this paper will illustrate a method using a utility function and the Analytic Hie...

  13. An analytic network process-based multicriteria decision making model for a reverse supply chain

    DEFF Research Database (Denmark)

    Govindan, Kannan; Sarkis, J.; Palaniappan, M.

    2013-01-01

    Reverse logistics has emerged as an important dimension for organizations to build their strategic advantage. Part of this effort relies on potentially outsourcing these activities. With this competitive issue in mind, this paper presents a multistep process to select a third-party reverse logistic...

  14. An Analytic Network Process approach for the environmental aspect selection problem — A case study for a hand blender

    Energy Technology Data Exchange (ETDEWEB)

    Bereketli Zafeirakopoulos, Ilke, E-mail: ibereketli@gsu.edu.tr; Erol Genevois, Mujde, E-mail: merol@gsu.edu.tr

    2015-09-15

    Life Cycle Assessment is a tool to assess, in a systematic way, the environmental aspects and its potential environmental impacts and resources used throughout a product's life cycle. It is widely accepted and considered as one of the most powerful tools to support decision-making processes used in ecodesign and sustainable production in order to learn about the most problematic parts and life cycle phases of a product and to have a projection for future improvements. However, since Life Cycle Assessment is a cost and time intensive method, companies do not intend to carry out a full version of it, except for large corporate ones. Especially for small and medium sized enterprises, which do not have enough budget for and knowledge on sustainable production and ecodesign approaches, focusing only on the most important possible environmental aspect is unavoidable. In this direction, finding the right environmental aspect to work on is crucial for the companies. In this study, a multi-criteria decision-making methodology, Analytic Network Process is proposed to select the most relevant environmental aspect. The proposed methodology aims at providing a simplified environmental assessment to producers. It is applied for a hand blender, which is a member of the Electrical and Electronic Equipment family. The decision criteria for the environmental aspects and relations of dependence are defined. The evaluation is made by the Analytic Network Process in order to create a realistic approach to inter-dependencies among the criteria. The results are computed via the Super Decisions software. Finally, it is observed that the procedure is completed in less time, with less data, with less cost and in a less subjective way than conventional approaches. - Highlights: • We present a simplified environmental assessment methodology to support LCA. • ANP is proposed to select the most relevant environmental aspect. • ANP deals well with the interdependencies between aspects

  15. RISIKO RANTAI PASOK KAKAO DI INDONESIA DENGAN METODE ANALYTIC NETWORK PROCESS DAN FAILURE MODE EFFECT ANALYSIS TERINTEGRASI

    Directory of Open Access Journals (Sweden)

    Harumi Aini

    2015-03-01

    Full Text Available Cocoa is one of the plantation commodities whose role is quite important for the national economy of Indonesia. However, the cocoa industry faces several problems including the various risks involved in the cocoa supply chain. The aim of this study were: 1 Identify the various risks involved in the cocoa supply chain, 2 analyze and evaluate the supply chain actors members with the highest risk in the cocoa supply chain management, and 3 understand how to evaluate and mitigate the highest risk in the cocoa supply chain effectively and efficiently. An Integrated Analytic Network Process (ANP and Weighted Failure Mode Effect Analysis (WFMEA method will be used to determine and analyze the highest risk in the cocoa supply chain. The results of the priority of the members of the value chain in the cocoa supply chain risk management are the farmer (0.408 with the risk of having the greatest priority is production risk (0.221. Risk control could be done by improving the productivity and competitiveness of cocoa.Keywords: ANP, FMEA, cocoa, risk management, supply chainABSTRAKKakao merupakan salah satu komoditas perkebunan yang peranannya cukup penting bagi perekonomian Indonesia. Industri kakao menghadapi beberapa masalah termasuk berbagai risiko yang timbul dalam rantai pasokan kakao. Tujuan penelitian ini adalah 1 mengidentifikasi macam-macam risiko pada rantai pasok kakao, 2 menganalisis dan mengevaluasi anggota pelaku rantai pasok dengan risiko tertinggi dalam manajemen rantai pasok kakao, dan 3 mengetahui cara mengevaluasi dan memitigasi risiko tertinggi pada rantai pasok kakao dengan efektif dan efisien. Metode Analytic Network Process (ANP dan Weighted Failure Mode Effect Analysis (WFMEA terintegrasi digunakan untuk mengetahui dan menganalisis risiko tertinggi dalam rantai pasokan kakao. Hasil prioritas anggota pelaku rantai pasok dalam manajemen risiko rantai pasokan kakao petani (0,408 dengan risiko yang memiliki prioritas terbesar adalah

  16. Disaster risk management in prospect mining area Blitar district, East Java, using microtremor analysis and ANP (analytical network processing) approach

    Energy Technology Data Exchange (ETDEWEB)

    Parwatiningtyas, Diyan, E-mail: diane.tyas@gmail.com, E-mail: erlinunindra@gmail.com; Ambarsari, Erlin Windia, E-mail: diane.tyas@gmail.com, E-mail: erlinunindra@gmail.com; Marlina, Dwi, E-mail: diane.tyas@gmail.com, E-mail: erlinunindra@gmail.com; Wiratomo, Yogi, E-mail: diane.tyas@gmail.com, E-mail: erlinunindra@gmail.com [Department of Physics, Faculty of Engineering, Mathematics and Natural Sciences, Indraprasta PGRI University, Nangka Street No. 58C Tanjung Barat, South Jakarta (Indonesia)

    2014-03-24

    Indonesia has a wealth of natural assets is so large to be managed and utilized, either from its own local government and local communities, especially in the mining sector. However, mining activities can change the state of the surface layer of the earth that have a high impact disaster risk. This could threaten the safety and disrupt human life, environmental damage, loss of property, and the psychological impact, sulking to the rule of law no 24 of 2007. That's why we strive to manage and minimize the risk of mine disasters in the region, how to use the method of calculation of Amplification Factor (AF) from the analysis based microtremor sulking Kanai and Nakamura, and decision systems were tested by analysis of ANP. Based on the amplification factor and Analytical Network Processing (ANP) obtained, some points showed instability in the surface layer of a mining area include the site of the TP-7, TP-8, TP-9, TP-10, (Birowo2). If in terms of structure, location indicated unstable due to have a sloping surface layer, resulting in the occurrence of landslides and earthquake risk is high. In the meantime, other areas of the mine site can be said to be a stable area.

  17. Disaster risk management in prospect mining area Blitar district, East Java, using microtremor analysis and ANP (analytical network processing) approach

    Science.gov (United States)

    Parwatiningtyas, Diyan; Ambarsari, Erlin Windia; Marlina, Dwi; Wiratomo, Yogi

    2014-03-01

    Indonesia has a wealth of natural assets is so large to be managed and utilized, either from its own local government and local communities, especially in the mining sector. However, mining activities can change the state of the surface layer of the earth that have a high impact disaster risk. This could threaten the safety and disrupt human life, environmental damage, loss of property, and the psychological impact, sulking to the rule of law no 24 of 2007. That's why we strive to manage and minimize the risk of mine disasters in the region, how to use the method of calculation of Amplification Factor (AF) from the analysis based microtremor sulking Kanai and Nakamura, and decision systems were tested by analysis of ANP. Based on the amplification factor and Analytical Network Processing (ANP) obtained, some points showed instability in the surface layer of a mining area include the site of the TP-7, TP-8, TP-9, TP-10, (Birowo2). If in terms of structure, location indicated unstable due to have a sloping surface layer, resulting in the occurrence of landslides and earthquake risk is high. In the meantime, other areas of the mine site can be said to be a stable area.

  18. Analysis Problem of Baitul Maal Wat Tamwil (BMT Operation in Pekanbaru Indonesia Using Analytical Network Process (ANP Approach

    Directory of Open Access Journals (Sweden)

    Hamzah

    2013-08-01

    Full Text Available BMT is a financial institution which is sought after by small entrepreneurs for financing their business operations. This institution provides finance to help small entrepreneurs who cannot access finance from the larger banking sector. In addition, the existence of BMTs is a blessing for the lower income group in society, keeping them away from illegal money lenders who burden them with much higher interest rates. Since its appearance in 1992, the BMT has been receiving positive responses from all sections of society in Indonesia. Many people take advantage of these opportunities which are available through the setting up of a BMT institution; however, many of them failed and ended up bankrupt. It is because they faced many problems in their operations. Therefore, this research selected BMT in Pekanbaru as a case study in order to analyze the problems faced by BMT whether these problems due to internal or external factors. In this regard, the study employs the method of Analytic Network Process (ANP. The data used are primary data obtained from interviews (depth interview with academicians, practitioners, and regulators, who have an understanding of the subject matter covered. This paper concluded that the internal problems of lacking quality of Human resource become a major problem to be resolved through training and education. While externally, the major problem that must be immediately to resolve is the absence of specific regulation governing BMT.

  19. Analytic Network Process on Financial Access of the Small and Medium Enterprise in Sharia Banking in Tasikmalaya City

    Directory of Open Access Journals (Sweden)

    Asep Suryanto

    2016-02-01

    Full Text Available Small and Medium Enterprise (SME has a significant role in national economic development. The increase of Small and Medium Enterprise is followed by the rise in employment absorbment and equity in income distribution. The capital constraint and the impedance of banking financial access have become the main problem to the Small and Medium entrepreneurs. The objectives of this research: 1 To identify the main factors as problems of Small and Medium Enterprises in having access to the financial institutions.2 To find the solutions of the research problems. This research used qualitative approach i.e. Analytic Network Process (ANP. For applying this method, it is expected to help the researchers in making measurement and sinthesis of some factors regarding the topic analyzed as well as finding the solution for problems faced by the SMEs. Data used in this research is primary data collected from questionaires and indepth interview with experts, practitioners, SMEs and regulators which then analyzed by structuringthe hierarchi into homogen clusters of the SMEs problems and solutions, measuring into ratio scale and building sinthesis. As the result, it becomes clear what factors impeding the financial access of the SMEs to banks. The results of this research shows that the difficulties of SMEs in accessing financial support in islamic financial institutions are internal problems of islamic banking i.e. 1 lack of financial assistance given to the SMEs, 2 the functions of islamic banking as business partners for SMEs is not optimal. Whereas the external problems in the SMEs is the disability in meeting the financial requirements asked by islamic banking that is collateral and business history. The solutions are: 1 internal solution; islamic banking should give business mentoring to SMEs that have received financial supports to minimalize the bad credits level. 2 external solution; the government should socialize islamic financial mechanism to SMEs as

  20. Analysis of Productivity Improvement in the Palm Oil Plantation Revitalization of North Sumatera using Analytic Network Process

    Directory of Open Access Journals (Sweden)

    Juliza Hidayati

    2014-01-01

    Full Text Available The idea of making North Sumatera as a barometer of national palm oil industry requires commodity efforts and agro-industry development of palm oil. One effort that can be done is by successful execution plantation revitalization. The plantation Revitalization is an effort to accelerate the development of smallholder plantations, through expansion and replanting by help of palm estate company as business partner and bank financing plantation revitalization fund. Business partner agreement is obliged and bound to make at least the same smallholder estate productivity with business partners, so that the refund rate to banks become larger and prosperous people as a plantation owner. Generally, low productivity of smallholder plantations under normal potential caused a lot of old and damaged plants with plant material at random. The purpose of revitalizing palm oil plantations is to increase their competitiveness through increased farm productivity. The research aims at identifying potential criteria in influencing estate productivity improvement priorities to be observed and followed up in order to improve the competitiveness of destinations and make North Sumatera barometer of national palm oil can be achieved. Research conducted with Analytical Network Process (ANP, to find the effect of dependency relationships between factors or criteria with the knowledge of the experts in order to produce an objective opinion and relevant depict the actual situation. The results showed that the priority factors that have the biggest impact as a determinant of farm productivity enhancement, namely plant health (0.184595, the insertion of seeds (0.130569, the type of fertilizer (0.116755, the number and dose of fertilizer (0.102303, the suitability of the tool and the work material (0.072098, the type of soil (0.056612, the frequency of fertilizer (0.057095, working procedures (0.048561, weed control (0.041679, pest control (0.037839, fertilization technology

  1. Network Monitoring as a Streaming Analytics Problem

    KAUST Repository

    Gupta, Arpit

    2016-11-02

    Programmable switches make it easier to perform flexible network monitoring queries at line rate, and scalable stream processors make it possible to fuse data streams to answer more sophisticated queries about the network in real-time. Unfortunately, processing such network monitoring queries at high traffic rates requires both the switches and the stream processors to filter the traffic iteratively and adaptively so as to extract only that traffic that is of interest to the query at hand. Others have network monitoring in the context of streaming; yet, previous work has not closed the loop in a way that allows network operators to perform streaming analytics for network monitoring applications at scale. To achieve this objective, Sonata allows operators to express a network monitoring query by considering each packet as a tuple and efficiently partitioning each query between the switches and the stream processor through iterative refinement. Sonata extracts only the traffic that pertains to each query, ensuring that the stream processor can scale traffic rates of several terabits per second. We show with a simple example query involving DNS reflection attacks and traffic traces from one of the world\\'s largest IXPs that Sonata can capture 95% of all traffic pertaining to the query, while reducing the overall data rate by a factor of about 400 and the number of required counters by four orders of magnitude. Copyright 2016 ACM.

  2. R&D Project Selection Using the Analytic Network Process%运用网络分析法选择R&D项目

    Institute of Scientific and Technical Information of China (English)

    黄本笑; 彭玉梅

    2003-01-01

    网络分析法(Analytic Network Process,简称ANP)是层次分析法(Analytic Hierarchy Process,简称AHP)的一种特殊形式.ANP模型充分考虑各层次之间以及同一层之间各元素的相互作用关系,对各方案进行综合评价并得出最佳决策.文章主要以R&D项目的选择为例,通过ANP模型的应用可看出ANP是一种帮助组织进行决策的高效实用的计算工具.

  3. Bilişsel Haritalama ve Analitik Serim Süreci (ASS Entegrasyonu(The Integration of Cognitive Mapping and Analytic Network Process

    Directory of Open Access Journals (Sweden)

    Aşkın ÖZDAĞOĞLU

    2010-01-01

    Full Text Available The type of variables (qualitative or quantitative directly affect the construction of the model. Gaining the quantitative data for decision making problems may not be possible. Therefore, only the qualitative data are had to be considered within decision making process. Another problem is to make a decision by considering many interactive factors. Analytic Network Process (ANP is a technique which finds the most appropriate alternative in the multicriteria decision problems that have many options. In this study, concept mapping is used for determining the relationships among the main components that affect the product in a frozen foods company and ANP structure is created with the help of concept mapping. During the solving process, the importance levels of the criteria are obtained.

  4. The Analytic Solution of the s-Process for Heavy Element

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    In this paper, we investigate the net-work equation of s-process. After divide the s-process into twostandard forms, we get the analytic solution of the net-work equation. With our analytic solution, we

  5. The Role of R&D and Innovation in Regional Development: An Interregional Analysis with DEMATEL-Based Analytic Network Process (DANP and TOPSIS Methods

    Directory of Open Access Journals (Sweden)

    Enver Çakın

    2015-06-01

    Full Text Available R&D, innovation and information-based activities has become more important in recent years for regional development and elimination of regional development differences. Countries have also recognized that innovation is the most important factor of economic growth and begun to allocate more resource to R&D investments. In this study, for years of 2010, 2011 and 2012 the innovation performance of 12 regions sited at first level of Nomenclature of Units for Territorial Statistics (NUTS in Turkey, have been evaluated by taking basic R&D and innovation indicators into consideration. In this context regression analysis, DEMATEL-Based Analytic Network Process (DANP and TOPSIS methods have been applied. The criteria have been weighted by using the regression coefficients obtained through regression analysis in DEMATEL method and subsequently performance ranking of regions has been performed by TOPSIS method.

  6. The Application of Fuzzy Analytical Network Process (FANP Approach for Appropriate Location Selection of Health Centers: case study in ramsar cite

    Directory of Open Access Journals (Sweden)

    Dariush Mohammadi Zanjirani

    2012-06-01

    Full Text Available Background: Appropriate location selection for health Services unites is a Strategic decision which is based on gathering information and also exact analysis of related alternatives. It's clear that result of this decision is really important and will led to long time improvement in all dimensions including economic, social, and etc. Otherwise, the most studies of location have done in background manufacturing rather than service area and there are just few articles which have focused in field of healthcare. This study attempted to solve this stock of researches. Methods: By using an almost comprehensive literatures review, objective and subjective criteria are identified. After finalizing criteria's, Are used from decision-makers’ assessments for collection data. Fuzzy Analytical Network Process is used for analyzing the data. Results: The finding indicates that the criteria's of proposed model are high validity and reliability for appropriate location selection of Health Centers. Conclusion: The analyzing of data indicates that lamtar locate is selected appropriate location.

  7. Customer Intelligence Analytics on Social Networks

    Directory of Open Access Journals (Sweden)

    Brano MARKIĆ

    2016-08-01

    Full Text Available Discovering needs, habits and consumer behavior is the primary task of marketing analytics. It is necessary to integrate marketing and analytical skills with IT skills. Such knowledge integration allows access to data (structured and unstructured, their analysis and finding out information about the opinions, attitudes, needs and behavior of customers. In the paper is set the hypothesis that software tools can collect data (messages from social networks, analyze the content of messages and get to know the attitudes of customers about a product, service, tourist destination with the ultimate goal of improving customer relations. Experimental results are based on the analysis of the content of social network Facebook by using the package and function R language. This language showed a satisfactory application and development power in analysis of textual data on social networks for marketing analytics.

  8. Network security evaluation model based on multi-person analytic network process in commercial banks%基于多人网络层次分析法的商业银行网络安全评估模型

    Institute of Scientific and Technical Information of China (English)

    沈利香; 曹国

    2012-01-01

    Considering the correlation and dependence among indicators, a multi-person decision model based on analytic network process was designed. In this model, the network security evaluation index was elicited by means of analytic network process, and then, a bi-level programming based on weighted Euclidean distance was used to synthesize the individual decision-making results. An illustrative example was given to demonstrate the feasibility and validity of the proposed method. The result shows that the proposed model has higher credibility to evaluate the network security in commercial banks.%针对商业银行网络安全评估指标之间的相互依赖特性,提出一种基于网络层次分析法的多人风险评估模型.该模型首先利用网络层次分析法得出个体网络安全评估风险指数,并利用加权欧氏距离的双层多目标规划模型集结个体专家的决策结果.仿真实验通过对四家案例银行计算机网络安全风险进行评估,结果显示本模型的评估结果比个体评估更具有可信度.

  9. The Analytic Network Process for the Pharmaceutical Sector: Multi Criteria Decision Making to Select the Suitable Method for the Preparation of Nanoparticles

    Directory of Open Access Journals (Sweden)

    Ramaiyan Velmurugan

    2012-10-01

    Full Text Available Background:This paper presents the methodology for assessing and selecting the most appropriate procedure for the preparation of nanoparticles by implementing the analytical network process. The commonly utilized nanoparticle preparation methods are Polymer Precipitation,Interfacial polymer deposition, Complex Coacervation, Cross linking, Emulsion solvent diffusion, Homogenization and Polymerization method. There are numerous parameters to beconsidered in groundwork of nanoparticles that departs the conclusion manufacturer in bias.One has to address a number of components in alignment to determine and choose the optimum conclusion choices, because an unsuitable conclusion could lead to the eventual merchandise having to be formulated and developed again. For this cause in this paper, we study selecting the most appropriate procedure for the preparation of nanoparticles utilizingone of the multi criteria-decision making techniques, Analytic Network Process.Methodology:The main goal was determined. The criteria and sub-criteria that affect the main goal were determined. The alternatives for the problem were determined. The interactions betweencriteria, sub-criteria, and alternatives respect to the main goal were determined. The super matrixes according to the network were assembled and then weighted super matrix and limit super matrix were then constructed. The values of this limit matrix are the desired priorities of the elements with respect to the goal. The alterative with the highest priority was finally chosen as the best alternative.Results:The emulsion solvent diffusion technique (M-5 has the highest value (0.434379 among the alternative methods that are applicable to the preparation of the nanoparticles. The secondhighest is Polymer Precipitation (M-1 with a value of 0.178798, and the lowest value or last choice is Cross Linking (M-4 with a value of only 0.024516. The alternative with the highest priority would achieve the goal, i.e., the

  10. The analytic network process for the pharmaceutical sector: Multi criteria decision making to select the suitable method for the preparation of nanoparticles

    Directory of Open Access Journals (Sweden)

    Velmurugan Ramaiyan

    2012-10-01

    Full Text Available Abstract Background This paper presents the methodology for assessing and selecting the most appropriate procedure for the preparation of nanoparticles by implementing the analytical network process. The commonly utilized nanoparticle preparation methods are Polymer Precipitation, Interfacial polymer deposition, Complex Coacervation, Cross linking, Emulsion solvent diffusion, Homogenization and Polymerization method. There are numerous parameters to be considered in groundwork of nanoparticles that departs the conclusion manufacturer in bias. One has to address a number of components in alignment to determine and choose the optimum conclusion choices, because an unsuitable conclusion could lead to the eventual merchandise having to be formulated and developed again. For this cause in this paper, we study selecting the most appropriate procedure for the preparation of nanoparticles utilizing one of the multi criteria-decision making techniques, Analytic Network Process. Methodology The main goal was determined. The criteria and sub-criteria that affect the main goal were determined. The alternatives for the problem were determined. The interactions between criteria, sub-criteria, and alternatives respect to the main goal were determined. The super matrixes according to the network were assembled and then weighted super matrix and limit super matrix were then constructed. The values of this limit matrix are the desired priorities of the elements with respect to the goal. The alterative with the highest priority was finally chosen as the best alternative. Results The emulsion solvent diffusion technique (M-5 has the highest value (0.434379 among the alternative methods that are applicable to the preparation of the nanoparticles. The second highest is Polymer Precipitation (M-1 with a value of 0.178798, and the lowest value or last choice is Cross Linking (M-4 with a value of only 0.024516. The alternative with the highest priority would achieve the

  11. Application of Analytic Hierarchy Process in the computer network technology%层次分析法在计算机网络技术中的应用探讨

    Institute of Scientific and Technical Information of China (English)

    王加梁

    2013-01-01

      本文从常用的网络构建出发分析了层次分析法在计算机网络组网过程中的应用,包括网络安全性能分析、网络安全体系构建、网络安全防护技术以及基于网络层次的各种故障检测、排除技术等重点技术的应用研究。%This article from the network to build the departure of Analytic Hierarchy Process in the process of networking of computer network applications,including network security performance analysis,network security system construction,and network security technology based on network-level fault detection to excludetechnology and other key technologies.

  12. An Introduction to Social Network Data Analytics

    Science.gov (United States)

    Aggarwal, Charu C.

    The advent of online social networks has been one of the most exciting events in this decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis. The linkage data is essentially the graph structure of the social network and the communications between entities; whereas the content data contains the text, images and other multimedia data in the network. The richness of this network provides unprecedented opportunities for data analytics in the context of social networks. This book provides a data-centric view of online social networks; a topic which has been missing from much of the literature. This chapter provides an overview of the key topics in this field, and their coverage in this book.

  13. Algorithmic and analytical methods in network biology.

    Science.gov (United States)

    Koyutürk, Mehmet

    2010-01-01

    During the genomic revolution, algorithmic and analytical methods for organizing, integrating, analyzing, and querying biological sequence data proved invaluable. Today, increasing availability of high-throughput data pertaining to functional states of biomolecules, as well as their interactions, enables genome-scale studies of the cell from a systems perspective. The past decade witnessed significant efforts on the development of computational infrastructure for large-scale modeling and analysis of biological systems, commonly using network models. Such efforts lead to novel insights into the complexity of living systems, through development of sophisticated abstractions, algorithms, and analytical techniques that address a broad range of problems, including the following: (1) inference and reconstruction of complex cellular networks; (2) identification of common and coherent patterns in cellular networks, with a view to understanding the organizing principles and building blocks of cellular signaling, regulation, and metabolism; and (3) characterization of cellular mechanisms that underlie the differences between living systems, in terms of evolutionary diversity, development and differentiation, and complex phenotypes, including human disease. These problems pose significant algorithmic and analytical challenges because of the inherent complexity of the systems being studied; limitations of data in terms of availability, scope, and scale; intractability of resulting computational problems; and limitations of reference models for reliable statistical inference. This article provides a broad overview of existing algorithmic and analytical approaches to these problems, highlights key biological insights provided by these approaches, and outlines emerging opportunities and challenges in computational systems biology.

  14. Optimization of the scheme for natural ecology planning of urban rivers based on ANP (analytic network process) model.

    Science.gov (United States)

    Zhang, Yichuan; Wang, Jiangping

    2015-07-01

    Rivers serve as a highly valued component in ecosystem and urban infrastructures. River planning should follow basic principles of maintaining or reconstructing the natural landscape and ecological functions of rivers. Optimization of planning scheme is a prerequisite for successful construction of urban rivers. Therefore, relevant studies on optimization of scheme for natural ecology planning of rivers is crucial. In the present study, four planning schemes for Zhaodingpal River in Xinxiang City, Henan Province were included as the objects for optimization. Fourteen factors that influenced the natural ecology planning of urban rivers were selected from five aspects so as to establish the ANP model. The data processing was done using Super Decisions software. The results showed that important degree of scheme 3 was highest. A scientific, reasonable and accurate evaluation of schemes could be made by ANP method on natural ecology planning of urban rivers. This method could be used to provide references for sustainable development and construction of urban rivers. ANP method is also suitable for optimization of schemes for urban green space planning and design.

  15. Reconfigurable network processing platforms

    NARCIS (Netherlands)

    Kachris, C.

    2007-01-01

    This dissertation presents our investigation on how to efficiently exploit reconfigurable hardware to design flexible, high performance, and power efficient network devices capable to adapt to varying processing requirements of network applications and traffic. The proposed reconfigurable network pr

  16. Assessing Partnership Alternatives in an IT Network Employing Analytical Methods

    Directory of Open Access Journals (Sweden)

    Vahid Reza Salamat

    2016-01-01

    Full Text Available One of the main critical success factors for the companies is their ability to build and maintain an effective collaborative network. This is more critical in the IT industry where the development of sustainable competitive advantage requires an integration of various resources, platforms, and capabilities provided by various actors. Employing such a collaborative network will dramatically change the operations management and promote flexibility and agility. Despite its importance, there is a lack of an analytical tool on collaborative network building process. In this paper, we propose an optimization model employing AHP and multiobjective programming for collaborative network building process based on two interorganizational relationships’ theories, namely, (i transaction cost theory and (ii resource-based view, which are representative of short-term and long-term considerations. The five different methods were employed to solve the formulation and their performances were compared. The model is implemented in an IT company who was in process of developing a large-scale enterprise resource planning (ERP system. The results show that the collaborative network formed through this selection process was more efficient in terms of cost, time, and development speed. The framework offers novel theoretical underpinning and analytical solutions and can be used as an effective tool in selecting network alternatives.

  17. The Computer-Aided Analytic Process Model. Operations Handbook for the Analytic Process Model Demonstration Package

    Science.gov (United States)

    1986-01-01

    Research Note 86-06 THE COMPUTER-AIDED ANALYTIC PROCESS MODEL : OPERATIONS HANDBOOK FOR THE ANALYTIC PROCESS MODEL DE ONSTRATION PACKAGE Ronald G...ic Process Model ; Operations Handbook; Tutorial; Apple; Systems Taxonomy Mod--l; Training System; Bradl1ey infantry Fighting * Vehicle; BIFV...8217. . . . . . . .. . . . . . . . . . . . . . . . * - ~ . - - * m- .. . . . . . . item 20. Abstract -continued companion volume-- "The Analytic Process Model for

  18. Analysis of land suitability for urban development in Ahwaz County in southwestern Iran using fuzzy logic and analytic network process (ANP).

    Science.gov (United States)

    Malmir, Maryam; Zarkesh, Mir Masoud Kheirkhah; Monavari, Seyed Masoud; Jozi, Seyed Ali; Sharifi, Esmail

    2016-08-01

    The ever-increasing development of cities due to population growth and migration has led to unplanned constructions and great changes in urban spatial structure, especially the physical development of cities in unsuitable places, which requires conscious guidance and fundamental organization. It is therefore necessary to identify suitable sites for future development of cities and prevent urban sprawl as one of the main concerns of urban managers and planners. In this study, to determine the suitable sites for urban development in the county of Ahwaz, the effective biophysical and socioeconomic criteria (including 27 sub-criteria) were initially determined based on literature review and interviews with certified experts. In the next step, a database of criteria and sub-criteria was prepared. Standardization of values and unification of scales in map layers were done using fuzzy logic. The criteria and sub-criteria were weighted by analytic network process (ANP) in the Super Decision software. Next, the map layers were overlaid using weighted linear combination (WLC) in the GIS software. According to the research findings, the final land suitability map was prepared with five suitability classes of very high (5.86 %), high (31.93 %), medium (38.61 %), low (17.65 %), and very low (5.95 %). Also, in terms of spatial distribution, suitable lands for urban development are mainly located in the central and southern parts of the Ahwaz County. It is expected that integration of fuzzy logic and ANP model will provide a better decision support tool compared with other models. The developed model can also be used in the land suitability analysis of other cities.

  19. Analytical reasoning task reveals limits of social learning in networks.

    Science.gov (United States)

    Rahwan, Iyad; Krasnoshtan, Dmytro; Shariff, Azim; Bonnefon, Jean-François

    2014-04-06

    Social learning-by observing and copying others-is a highly successful cultural mechanism for adaptation, outperforming individual information acquisition and experience. Here, we investigate social learning in the context of the uniquely human capacity for reflective, analytical reasoning. A hallmark of the human mind is its ability to engage analytical reasoning, and suppress false associative intuitions. Through a set of laboratory-based network experiments, we find that social learning fails to propagate this cognitive strategy. When people make false intuitive conclusions and are exposed to the analytic output of their peers, they recognize and adopt this correct output. But they fail to engage analytical reasoning in similar subsequent tasks. Thus, humans exhibit an 'unreflective copying bias', which limits their social learning to the output, rather than the process, of their peers' reasoning-even when doing so requires minimal effort and no technical skill. In contrast to much recent work on observation-based social learning, which emphasizes the propagation of successful behaviour through copying, our findings identify a limit on the power of social networks in situations that require analytical reasoning.

  20. 层次分析法在农村配电网规划决策中的应用%Analytic Hierarchy Process Applied in Planning Decision of Rural Power Distribution Network

    Institute of Scientific and Technical Information of China (English)

    熊剑

    2012-01-01

    Based on analysis of characteristic and economic characteristics of rural distribution power network, the economic characteristic evaluation index is built. The application of analytic hierarchy process used in planning decision of rural power distribution network is introduced.%在分析区农村配电网特点与经济特性的基础上,建立区农村配电网规划经济性评估指标体系,并介绍层次分析法在配电网规划经济性分析评估的应用。

  1. COMPUTER NETWORK SECURITY ASSESSMENT WITH FUZZY ANALYTIC HIERARCHY PROCESS%基于模糊层次分析法的计算机网络安全评价

    Institute of Scientific and Technical Information of China (English)

    费军; 余丽华

    2011-01-01

    The hierarchy model of computer network security assessment was constructed in light of the characteristics of computer network and the factors influencing the network security. The fuzzy analytic hierarchy process based on triangular fuzzy numbers was applied to assess the network security comprehensively and quantitatively. Computation results of example indicate that the fuzzy analytic hierarchy process is suitable for quantitative integration of qualitative judgement, and it provides an exploratory approach for computer network security assessment.%根据计算机网络的特点及网络安全涉及的因素,建立计算机网络安全评价的层次结构模型,运用基于三角模糊数的模糊层次分析法实现对网络安全的综合量化评价.实例的计算结果表明模糊层次分析法适用于定性判断的量化综合,它为计算机网络安全评价提供了一种探索性方法.

  2. Global analytic treatment of terrestrial photogrammetric networks

    CERN Document Server

    Mayoud, M

    1980-01-01

    In order to solve certain special CERN metrology problems, analytical terrestrial photogrammetry may have some advantages which are first discussed along with their drawbacks and limitations. In this application, it is necessary to carry out a rigorous and global adjustment of the observations and simultaneously process all the perspective ray bundles. The basic principles, the least squares solution and the stochastic analysis of the results are presented. However, for the CERN project, one wonders if the production of digital theodolites is going to reduce the advantages of the photogrammetric method. (12 refs).

  3. 基于未确知网络分析法的土石坝风险分析研究%Risk Analysis of Earth-rock Dam Based on Unascertained Analytic Network Process

    Institute of Scientific and Technical Information of China (English)

    李宗坤; 叶青; 李锋

    2012-01-01

    In view of the risk analysis' s dependance on expert' s judgment on unascertained information, a new method named unascertained-analytic network process was proposed combining unascertained measure comprehensive evaluation model with analytic network process. The basic theory was introduced in particular and the method was then applied to an earth-rock dam' s risk analysis. The result is consistent with that analyzed with fuzzy analytic hierarchy process, which indicates that the proposed method is feasible and reasonable.%针对风险分析依赖于专家对未确知信息的判断,将未确知测度综合评价模型与网络分析法相结合,提出了未确知网络分析法.详细介绍了该法的基本理论,并将其应用于实际工程中.评价结果与模糊层次分析法的结果相一致,验证了未确知网络分析法在土石坝风险分析中应用的可行性和合理性.

  4. 模糊层次分析法在计算机网络安全评价中的运用%Application of Fuzzy Analytical Hierarchy Process in the Safety Evaluation of Computer Network

    Institute of Scientific and Technical Information of China (English)

    王亚飞

    2015-01-01

    The safety evaluation of computer network is influenced by many factors, such as operation mentality, network characteristics, external environment and so on. So, it is important to take comprehensive assessment for the safety performance of it. This paper evaluates the safety of computer network by fuzzy analytical hierarchy process and gives full play to the advantages of fuzzy mathematics to get the best evaluation effect.%计算机网络安全评价受到操作心理、网络特征、外界环境等多种因素的影响,必须对其安全性能展开综合评价。本文使用模糊综合评价法对计算机网络安全进行评价,充分发挥模糊数学的优势,获取最佳的评价效果。

  5. Analytical solutions for the slow neutron capture process of heavy element nucleosynthesis

    Institute of Scientific and Technical Information of China (English)

    Wu Kai-Su

    2009-01-01

    In this paper,the network equation for the slow neutron capture process (s-process) of heavy element nucleosynthesis is investigated. Dividing the s-process network reaction chains into two standard forms and using the technique of matrix decomposition,a group of analytical solutions for the network equation are obtained. With the analytical solutions,a calculation for heavy element abundance of the solar system is carried out and the results are in good agreement with the astrophysical measurements.

  6. Evaluation of OLSR Protocol Implementations using Analytical Hierarchical Process (AHP

    Directory of Open Access Journals (Sweden)

    Ashfaq Ahmad Malik

    2016-11-01

    Full Text Available Adhoc networks are part of IEEE 802.11 Wireless LAN Standard also called Independent Basic Service Set (IBSS and work as Peer to Peer network by default. These work without the requirement of an Infrastructure (such as an Access Point and demands specific routing requirements to work as a multi-hop network. There are various Adhoc network routing protocols which are categorized as Proactive, Reactive and Hybrid. OLSR (a proactive routing protocol is one of widely used routing protocols in adhoc networks. In this paper an empirical study and analysis of the various OLSR implementations (by different research groups and individuals has been conducted in light of Relative Opinion Scores (ROS and Analytical Hierarchical Process (AHP Online System software. Based on quantitative comparison of results, it is concluded that OLSRd project is most updated and best amongst six variants of OLSR protocol implementations.

  7. Using Analytic Hierarchy Process in Textbook Evaluation

    Science.gov (United States)

    Kato, Shigeo

    2014-01-01

    This study demonstrates the application of the analytic hierarchy process (AHP) in English language teaching materials evaluation, focusing in particular on its potential for systematically integrating different components of evaluation criteria in a variety of teaching contexts. AHP is a measurement procedure wherein pairwise comparisons are made…

  8. Process Analytical Technology-Recent Advances

    OpenAIRE

    Vishal Gupta, N.; S. Prathima; Shashikanth. D; A. Kailash Kumar

    2013-01-01

    Process analytical technologies had been applied to manufacturing processes for decades. Recently, the US Food and Drug Administration (FDA) had re-defined the phrase and implemented into an initiative focusing on improving the several aspects of pharmaceutical industry; European agency for the evaluation of Medicinal products (EMEA) has formed a PAT team in 2003. The PAT initiative was initially intended for traditional pharmaceutical manufacturers, but the FDA’s PAT guidance clearly states ...

  9. ANP网络分析法及其在信息系统组合分析中的应用%Analytic Network Process Model and its Application in Portfolio Analysis of Information System

    Institute of Scientific and Technical Information of China (English)

    赵昆; 洪向东

    2005-01-01

    根据ANP网络分析法(Analytic Network Process)的基本原理和方法,结合信息系统规划需要,建立具有网络结构的组合分析模型,以对信息系统应用项目进行选择.并对模型中的基本概念作了定义和描述,用形式化方法描述了该模型的应用实施过程,给出了一个应用实例.

  10. Visualizing Flow of Uncertainty through Analytical Processes.

    Science.gov (United States)

    Wu, Yingcai; Yuan, Guo-Xun; Ma, Kwan-Liu

    2012-12-01

    Uncertainty can arise in any stage of a visual analytics process, especially in data-intensive applications with a sequence of data transformations. Additionally, throughout the process of multidimensional, multivariate data analysis, uncertainty due to data transformation and integration may split, merge, increase, or decrease. This dynamic characteristic along with other features of uncertainty pose a great challenge to effective uncertainty-aware visualization. This paper presents a new framework for modeling uncertainty and characterizing the evolution of the uncertainty information through analytical processes. Based on the framework, we have designed a visual metaphor called uncertainty flow to visually and intuitively summarize how uncertainty information propagates over the whole analysis pipeline. Our system allows analysts to interact with and analyze the uncertainty information at different levels of detail. Three experiments were conducted to demonstrate the effectiveness and intuitiveness of our design.

  11. Analytical Evaluation of Fractional Frequency Reuse for OFDMA Cellular Networks

    CERN Document Server

    Novlan, Thomas David; Ghosh, Arunabha; Andrews, Jeffrey G

    2011-01-01

    Fractional frequency reuse (FFR) is an interference management technique well-suited to OFDMA-based cellular networks wherein the cells are partitioned into spatial regions with different frequency reuse factors. To date, FFR techniques have been typically been evaluated through system-level simulations using a hexagonal grid for the base station locations. This paper instead focuses on analytically evaluating the two main types of FFR deployments - Strict FFR and Soft Frequency Reuse (SFR) - using a Poisson point process to model the base station locations. The results are compared with the standard grid model and an actual urban deployment. Under reasonable special cases for modern cellular networks, our results reduce to simple closed-form expressions, which provide insight into system design guidelines and the relative merits of Strict FFR, SFR, universal reuse, and fixed frequency reuse. We observe that FFR provides an increase in the sum-rate as well as the well-known benefit of improved coverage for ce...

  12. Analytical investigation of self-organized criticality in neural networks.

    Science.gov (United States)

    Droste, Felix; Do, Anne-Ly; Gross, Thilo

    2013-01-06

    Dynamical criticality has been shown to enhance information processing in dynamical systems, and there is evidence for self-organized criticality in neural networks. A plausible mechanism for such self-organization is activity-dependent synaptic plasticity. Here, we model neurons as discrete-state nodes on an adaptive network following stochastic dynamics. At a threshold connectivity, this system undergoes a dynamical phase transition at which persistent activity sets in. In a low-dimensional representation of the macroscopic dynamics, this corresponds to a transcritical bifurcation. We show analytically that adding activity-dependent rewiring rules, inspired by homeostatic plasticity, leads to the emergence of an attractive steady state at criticality and present numerical evidence for the system's evolution to such a state.

  13. Learning Analytics for Networked Learning Models

    Science.gov (United States)

    Joksimovic, Srecko; Hatala, Marek; Gaševic, Dragan

    2014-01-01

    Teaching and learning in networked settings has attracted significant attention recently. The central topic of networked learning research is human-human and human-information interactions occurring within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach to…

  14. Process analytical technology (PAT) for biopharmaceuticals

    DEFF Research Database (Denmark)

    Glassey, Jarka; Gernaey, Krist; Clemens, Christoph;

    2011-01-01

    emphasizes the need for improved PAT solutions. We summarize recent progress in this area based on an expert workshop held at the 8(th) European Symposium on Biochemical Engineering Sciences (Bologna, 2010), and highlight new opportunities for exploiting PAT when applied in biopharmaceutical production. We......Process analytical technology (PAT), the regulatory initiative for building in quality to pharmaceutical manufacturing, has a great potential for improving biopharmaceutical production. The recommended analytical tools for building in quality, multivariate data analysis, mechanistic modeling, novel...... models for interpretation of systems biology data and new sensor technologies for cellular states, are instrumental in exploiting this potential. Industrial biopharmaceutical production has gradually become dependent on large-scale processes using sensitive mammalian cell cultures. This further...

  15. Statistically Qualified Neuro-Analytic system and Method for Process Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Vilim, Richard B.; Garcia, Humberto E.; Chen, Frederick W.

    1998-11-04

    An apparatus and method for monitoring a process involves development and application of a statistically qualified neuro-analytic (SQNA) model to accurately and reliably identify process change. The development of the SQNA model is accomplished in two steps: deterministic model adaption and stochastic model adaptation. Deterministic model adaption involves formulating an analytic model of the process representing known process characteristics,augmenting the analytic model with a neural network that captures unknown process characteristics, and training the resulting neuro-analytic model by adjusting the neural network weights according to a unique scaled equation emor minimization technique. Stochastic model adaptation involves qualifying any remaining uncertainty in the trained neuro-analytic model by formulating a likelihood function, given an error propagation equation, for computing the probability that the neuro-analytic model generates measured process output. Preferably, the developed SQNA model is validated using known sequential probability ratio tests and applied to the process as an on-line monitoring system.

  16. Evaluation model for soft power of key Subjects with Analytic Network Process%运用网络层次分析法构建重点学科软实力评价模型探析

    Institute of Scientific and Technical Information of China (English)

    王丽华; 王振维; 王懿

    2009-01-01

    学科软实力的研究对于新时期大学重点学科的建设与发展是全新的课题,而科学合理地评价重点学科软实力是学科软实力建设的前提.本文以软实力理论为基础,阐述了学科软实力的内涵、构成和评价指标体系,并对运用网络层次分析法(Analytic Network Process,ANP)构建重点学科软实力的评价模型进行了探讨.%It is becoming more and more important for the development of subjects to study the soft power,and it is essential to evaluate key subiect's soft power reasonably.This paper reviewed the theory of soft power,described the concept composing and evaluation system of key subject's soft power,and discussed the construction of evaluation model on key subject's soft power by Analytic Network Process(ANP).

  17. On Promotion Measures of International Ship Trading Based on Analytic Network Process%基于网络层次分析法的国际舰船贸易促进措施评价

    Institute of Scientific and Technical Information of China (English)

    孔德锋; 林滨

    2014-01-01

    网络层次分析法是在层次分析法基础上发展而来的,当被评价指标之间存在相互关系时,其分析结果更符合实际情况。采用网络层次分析法可以对之间存在相互影响关系的舰船出口促进措施更好地进行定量分析。在对舰船贸易有影响的各项措施中,针对舰船出口政策采取措施的权重最大,针对提升舰船基本性能的次之,针对销售策略的最小。所以当舰船贸易遇到瓶颈需要进行统筹决策时,应充分考虑措施权重的大小。%Analytic Network Process is developed on the basis of Analytic Hierarchy Process .When there is a correlation between the indicators evaluated ,the analysis results are more in line with the actual situation . With Network Analytic Hierarchy Process we can make a better quantitative analysis of the interacting promo -tion measures of ships export .Among the various measures affecting the ship trade ,measures for ship export policy is the most important ;measures to improve the basic performance of ships comes second and measures for marketing strategy comes third .So when we have to make coordinated decisions because the ship trade en-counters bottlenecks ,we should fully consider different weights of the measures taken .

  18. Improving drug manufacturing with process analytical technology.

    Science.gov (United States)

    Rodrigues, Licinia O; Alves, Teresa P; Cardoso, Joaquim P; Menezes, José C

    2006-01-01

    Within the process analytical technology (PAT) framework, as presented in the US Food and Drug Administration guidelines, the aim is to design, develop and operate processes consistently to ensure a pre-defined level of quality at the end of the manufacturing process. Three PAT implementation scenarios can be envisaged. Firstly, PAT could be used in its most modest version (in an almost non-PAT manner) to simply replace an existing quality control protocol (eg, using near-infrared spectroscopy for an in-process quality control, such as moisture content). Secondly, the use of in-process monitoring and process analysis could be integrated to enhance process understanding and operation for an existing industrial process. Thirdly, PAT could be used extensively and exclusively throughout development, scale-up and full-scale production of a new product and process. Although the first type of implementations are well known, reports of the second and third types remain scarce. Herein, results obtained from PAT implementations of the second and third types are described for two industrial processes for preparing bulk active pharmaceutical ingredients, demonstrating the benefits in terms of increased process understanding and process control.

  19. Analytical Modeling of Uplink Cellular Networks

    CERN Document Server

    Novlan, Thomas D; Andrews, Jeffrey G

    2012-01-01

    Cellular uplink analysis has typically been undertaken by either a simple approach that lumps all interference into a single deterministic or random parameter in a Wyner-type model, or via complex system level simulations that often do not provide insight into why various trends are observed. This paper proposes a novel middle way that is both accurate and also results in easy-to-evaluate integral expressions based on the Laplace transform of the interference. We assume mobiles and base stations are randomly placed in the network with each mobile pairing up to its closest base station. The model requires two important changes compared to related recent work on the downlink. First, dependence is introduced between the user and base station point processes to make sure each base station serves a single mobile in the given resource block. Second, per-mobile power control is included, which further couples the locations of the mobiles and their receiving base stations. Nevertheless, we succeed in deriving the cov...

  20. An analytic approach to the design of survivable optical mesh networks

    Science.gov (United States)

    Bhardwaj, Manish

    2007-12-01

    One of the key components of the cost of building and operating optical mesh communication networks is the requirement of survivability and many mesh survivability schemes have been suggested and their cost and performance numerically evaluated in the literature. However, little work has been done in developing comprehensive and tractable analytic models of the requirements in terms of capacity deployment and performance of the different mesh restoration schemes. Such analytic models are all the more significant given the large computation time required to numerically evaluate every possible network scenario. The focus of this thesis is to fill this void in our understanding of the costs and performance of mesh restoration schemes. Analytic models of the capacity requirements of mesh restoration schemes are presented and the accuracy of the analytic models evaluated over a wide range of network scenarios. Analytic models of the temporal performance of mesh restoration schemes are also presented thus extending for the first time the network modeling effort into the operational expenditure domain. Consequently, the number and nature of variables incorporated into the analysis is also enhanced from just the network topology and demand profile to include the switch hardware and routing protocols. We show for the first time in a quantifiable fashion the consequences of certain technology choices on the operational expenditure of optical mesh networks. Finally, the analytic models are leveraged to design a novel mesh network restoration architecture with lower restoration capacity requirement and better temporal performance than existing architectures. Such an architecture, although relevant in its own right due to its lower cost and better performance also represents a paradigm shift in the design philosophy of mesh networks wherein the analytic model guides the design process and numerical analysis confirms improvements predicted by the model. Future applications of

  1. Analitik Ağ Süreci Yaklaşımı ile Türkiye’de Beyaz Eşya Sektörünün Pazar Payı Tahmini = Estimating Market Share of White Goods Sector in Turkey with Analytic Network Process

    Directory of Open Access Journals (Sweden)

    Nesrin ALPTEKİN

    2010-01-01

    Full Text Available In this paper, it is tried to predict the market shares of the largest three companies in the white goods sector in Turkey through the use of the analytic network process. These companies are highly competitive in the white goods sector. To attract new customers and to retain the current ones, they have to compete by setting reasonable prices, produce high quality products and expand their service networks. In line with the sequence of analytic network process, first of all, an estimation of market share problem has been structured and modeled. Next, it is assessed the importance of the factors affected the market share and it is estimated the market shares of the white goods companies in Turkey using analytic network process. The estimated market share values have been compared with actual ones for the validation of the decision model.

  2. Analytical Evaluation of Fractional Frequency Reuse for Heterogeneous Cellular Networks

    CERN Document Server

    Novlan, Thomas D; Ghosh, Arunabha; Andrews, Jeffrey G

    2011-01-01

    Interference management techniques are critical to the performance of heterogeneous cellular networks, which will have dense and overlapping coverage areas, and experience high levels of interference. Fractional frequency reuse (FFR) is an attractive interference management technique due to its low complexity and overhead, and significant coverage improvement for low-percentile (cell-edge) users. Instead of relying on system simulations based on deterministic access point locations, this paper instead proposes an analytical model for evaluating Strict FFR and Soft Frequency Reuse (SFR) deployments based on the spatial Poisson point process. Our results both capture the non-uniformity of heterogeneous deployments and produce tractable expressions which can be used for system design with Strict FFR and SFR. We observe that the use of Strict FFR bands reserved for the users of each tier with the lowest average SINR provides the highest gains in terms of coverage and rate, while the use of SFR allows for more eff...

  3. Unraveling networked learning initiatives: an analytic framework

    NARCIS (Netherlands)

    Rusman, Ellen; Prinsen, Fleur; Vermeulen, Marjan

    2016-01-01

    Networked learning happens naturally within the social systems of which we are all part. However, in certain circumstances individuals may want to actively take initiative to initiate interaction with others they are not yet regularly in exchange with. This may be the case when external influences a

  4. Process-in-Network: A Comprehensive Network Processing Approach

    Directory of Open Access Journals (Sweden)

    Juan Carlos Lopez

    2012-06-01

    Full Text Available A solid and versatile communications platform is very important in modern Ambient Intelligence (AmI applications, which usually require the transmission of large amounts of multimedia information over a highly heterogeneous network. This article focuses on the concept of Process-in-Network (PIN, which is defined as the possibility that the network processes information as it is being transmitted, and introduces a more comprehensive approach than current network processing technologies. PIN can take advantage of waiting times in queues of routers, idle processing capacity in intermediate nodes, and the information that passes through the network.

  5. Process-in-Network: a comprehensive network processing approach.

    Science.gov (United States)

    Urzaiz, Gabriel; Villa, David; Villanueva, Felix; Lopez, Juan Carlos

    2012-01-01

    A solid and versatile communications platform is very important in modern Ambient Intelligence (AmI) applications, which usually require the transmission of large amounts of multimedia information over a highly heterogeneous network. This article focuses on the concept of Process-in-Network (PIN), which is defined as the possibility that the network processes information as it is being transmitted, and introduces a more comprehensive approach than current network processing technologies. PIN can take advantage of waiting times in queues of routers, idle processing capacity in intermediate nodes, and the information that passes through the network.

  6. Identifying Geographic Clusters: A Network Analytic Approach

    CERN Document Server

    Catini, Roberto; Penner, Orion; Riccaboni, Massimo

    2015-01-01

    In recent years there has been a growing interest in the role of networks and clusters in the global economy. Despite being a popular research topic in economics, sociology and urban studies, geographical clustering of human activity has often studied been by means of predetermined geographical units such as administrative divisions and metropolitan areas. This approach is intrinsically time invariant and it does not allow one to differentiate between different activities. Our goal in this paper is to present a new methodology for identifying clusters, that can be applied to different empirical settings. We use a graph approach based on k-shell decomposition to analyze world biomedical research clusters based on PubMed scientific publications. We identify research institutions and locate their activities in geographical clusters. Leading areas of scientific production and their top performing research institutions are consistently identified at different geographic scales.

  7. Using the Analytic Network Process (ANP) to assess the distribution of pharmaceuticals in hospitals – a comparative case study of a Danish and American hospital

    DEFF Research Database (Denmark)

    Feibert, Diana Cordes; Sørup, Christian Michel; Jacobsen, Peter

    2016-01-01

    Pharmaceuticals are a vital part of patient treatment and the timely delivery of pharmaceuticals to patients is therefore important. Hospitals are complex systems that provide a challenging environment for decision making. Implementing process changes and technologies to improve the pharmaceutical...... distribution process can therefore be a complex and challenging undertaking. A comparative case study was conducted benchmarking the pharmaceutical distribution process at a Danish and US hospital to identify best practices. Using the ANP method, taking tangible and intangible aspects into consideration...

  8. Analytical processing of binary mixture information by olfactory bulb glomeruli.

    Directory of Open Access Journals (Sweden)

    Max L Fletcher

    Full Text Available Odors are rarely composed of a single compound, but rather contain a large and complex variety of chemical components. Often, these mixtures are perceived as having unique qualities that can be quite different than the combination of their components. In many cases, a majority of the components of a mixture cannot be individually identified. This synthetic processing of odor information suggests that individual component representations of the mixture must interact somewhere along the olfactory pathway. The anatomical nature of sensory neuron input into segregated glomeruli with the bulb suggests that initial input of odor information into the bulb is analytic. However, a large network of interneurons within the olfactory bulb could allow for mixture interactions via mechanisms such as lateral inhibition. Currently in mammals, it is unclear if postsynaptic mitral/tufted cell glomerular mixture responses reflect the analytical mixture input, or provide the initial basis for synthetic processing with the olfactory system. To address this, olfactory bulb glomerular binary mixture representations were compared to representations of each component using transgenic mice expressing the calcium indicator G-CaMP2 in olfactory bulb mitral/tufted cells. Overall, dorsal surface mixture representations showed little mixture interaction and often appeared as a simple combination of the component representations. Based on this, it is concluded that dorsal surface glomerular mixture representations remain largely analytical with nearly all component information preserved.

  9. Assessing the potential number of ATMs in banks, financial and credit institutions using Analytic Network Process (ANP and Gray Clustering Analysis (GCA Case study: between Enghelab Sq and Ferdowsi Sq- Enghelab Street of Tehran

    Directory of Open Access Journals (Sweden)

    H.A. Faraji Sabokbar

    2012-01-01

    Full Text Available Extended abstracts1- IntroductionMost organizations and financial institutions are facing with spatial decision makings. Optimum decision making affects the institutes’ success, achievement to their objectives and attracting customers. Modern banking services have evolved by the development of modern technologies. The most sensible aspect of banking services evolution is based on using the modern technologies of ATMs. The rapid growth in application of these devices could have been caused by the increasing acceptance of them among customers (Foukerdi, 2005: 2. Because of the same reason, in spite of the high costs of purchase, initiation and maintenance, banks, financial and credit institutions are still interested in the development of ATMs. On the other hand, inattention and mismanagement in site selection and the number of such devices could be effective in failure of these systems. Selecting the optimum and most proper location to install the ATMs takes into account with respect to various factors that have different impact factors. Economical zoning of the cities for selecting potential and capable locations of such activities is assumed as the success agent of institutions and is a powerful method for future decisions. Therefore, the overall purpose of this research is to provide a model for economic zoning to install the services and facilities of banking system (ATMs. The research type is developmental- applied and the research method is descriptive-analytical. In the first step, effective economic factors in banking system were specified throughout library studies (previous studies with respect to research purposes, then it was supplemented by expert’s viewpoints, also, spatial data were obtained from area by surveying with respect to relevant criteria. Weight of each criterion was specified with Analytic Network Process (ANP after supplement of couple comparison circular by experts and it was used in Gray cluster analysis for

  10. Is Analytic Information Processing a Feature of Expertise in Medicine?

    Science.gov (United States)

    McLaughlin, Kevin; Rikers, Remy M.; Schmidt, Henk G.

    2008-01-01

    Diagnosing begins by generating an initial diagnostic hypothesis by automatic information processing. Information processing may stop here if the hypothesis is accepted, or analytical processing may be used to refine the hypothesis. This description portrays analytic processing as an optional extra in information processing, leading us to…

  11. A Framework for Sustainable Tourism Planning in Johor Ramsar Sites, Malaysia: A Geographic Information System (GIS Based Analytic Network Process (ANP Approach

    Directory of Open Access Journals (Sweden)

    Mansir Aminu

    2013-06-01

    Full Text Available This study presents an approach based on an integrated use of GIS, ANP and Water Quality Index (WQI for sustainable tourism planning in a wetland environment (Ramsar site. ANP will be utilized to evaluate the relative priorities for the conservation, tourism and economic development of the Ramsar sites based on chosen criteria and indicators (elements. Pair wise comparison technique will be used in order to evaluate possible alternatives from different perspectives. To reflect the interdependencies in the network, pair wise comparisons will be conducted among all the elements. As different elements are usually characterized by different importance levels, the subsequent step will be the prioritization of the elements, which allows for a comparison among the elements using expert opinion as input and the results transferred into GIS environment. Elements to be evaluated and ranked will be represented by criterion maps. The criterion maps will be evaluated by reclassifying the data layers, to represent different needs for conservation and development of the Ramsar sites. To determine the water quality of the river, parameters of the sampling stations will be used to calculate the sub-indices. Consequently surface data of water quality will be generated from the points of the sampling stations and decisions taken appropriately. Map layers reflecting the opinion of different experts involved will be compared using the Boolean overlay approach of GIS. Subsequently conservation, tourism and economic development models will be generated, which will ensure that tourism maintain the viability of the study area for an indefinite period of time.

  12. Hierarchy in directed random networks: analytical and numerical results

    CERN Document Server

    Mones, Enys

    2012-01-01

    In recent years, the theory and application of complex networks has been quickly developing in a markable way due to the increasing amount of data from real systems and to the fruitful application of powerful methods used in statistical physics. Many important characteristics of social or biological systems can be described by the study of their underlying structure of interactions. Hierarchy is one of these features that can be formulated in the language of networks. In this paper we present the analytic results on the hierarchical properties of random network models with zero correlations and also investigate the effects of different type of correlations. The behavior of hierarchy is different in the absence and the presence of the giant components. We show that the hierarchical structure can be drastically different if there are one-point correlations in the network. We also show numerical results suggesting that hierarchy does not change monotonously with the correlations and there is an optimal level of ...

  13. Discovery of Information Diffusion Process in Social Networks

    Science.gov (United States)

    Kim, Kwanho; Jung, Jae-Yoon; Park, Jonghun

    Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.

  14. PENGGUNAAN METODE ANALYTICAL HIERARCHY PROCESS DALAM PEMILIHAN LOKASI MANGROVE PARK

    Directory of Open Access Journals (Sweden)

    Mustika Mustika

    2017-02-01

    Full Text Available Demak district is a district that has quite a lot of mangrove forests, beautiful expanse of mangrove is a natural potential that can be developed as a regional tourism assets. Mangrove Park is one of the utilization of conservation area into tourism areas of education and recreation The Selection of Planning site locations required an appropriate location in the terms of land use, The appropriate land is a land that has a Mangrove area which still leafy, natural (unprocessed and intended as a tourism area, an easy accessibility, the network infrastructure is also needed in the election of location in order to support the available facilities in the building. In addition, the view of the inside and outside of the site that will be a tourism place attraction. Decision Support System can be used as a tool to help the site selection process that involves many criteria. Analytical Hierarchy Process (AHP can be used to analyze which support the decision to choose a location. Phases of AHP used in this research is the identification of causes, preparation of hierarchy, prioritization, consistency, and the priority weight. From the Implementation of the method on the study case successfully find the best location for mangrove park, it is in the village Bedono it has the highest total global priorities 1.2349. Keywords: Site Location, Analytical Hierarchy Process, Mangrove Park Kabupaten Demak adalah kabupaten yang memiliki hutan mangrove yang cukup banyak, hamparan mangrove yang indah merupakan potensi alam yang dapat dikembangkan sebagai aset pariwisata daerah. Mangrove Park adalah salah satu bentuk pemanfaatan kawasan konservasi menjadi kawasan wisata edukasi dan rekreasi. Pemilihan lokasi tapak perencanaan diperlukan sebuah lokasi yang tepat dari segi peruntukan lahan, lahan yang tepat adalah lahan yang memiliki area Mangrove yang masih rimbun, alami (belum diolah dan diperuntukkan sebagai kawasan wisata, aksebilitas yang mudah dijangkau, jaringan

  15. Generalized epidemic process on modular networks

    CERN Document Server

    Chung, Kihong; Kim, Daniel; Ha, Meesoon; Jeong, Hawoong

    2013-01-01

    Social reinforcement and modular structure are two salient features observed in the spreading of behavior through social contacts. In order to investigate the interplay between these two features, we study the generalized epidemic process on modular networks with equal-sized finite communities and adjustable modularity. Using the analytical approach originally applied to clique-based random networks, we show that the system exhibits a bond-percolation type continuous phase transition for weak social reinforcement, whereas a discontinuous phase transition occurs for sufficiently strong social reinforcement. Our findings are numerically verified by the finite-size scaling analysis for critical behaviors and the bimodality coefficient test for discontinuous transitions.

  16. Analytical SIR for Self-Organizing Wireless Networks

    Directory of Open Access Journals (Sweden)

    Sung KiWon

    2009-01-01

    Full Text Available The signal to interference ratio (SIR in the presence of multipath fading, shadowing and path loss is a valuable parameter for studying the capacity of a wireless system. This paper presents a new generalized path loss equation that takes into account the large-scale path loss as well as the small-scale multipath fading. The probability density function (pdf of the SIR for self-organising wireless networks with Nakagami- channel model is analytically derived using the new path loss equation. We chose the Nakagami- channel fading model because it encompasses a large class of fading channels. The results presented show good agreement between the analytical and Monte Carlo- based methods. Furthermore, the pdf of the signal to interference plus noise ratio (SINR is provided as an extension to the SIR derivation. The analytical derivation of the pdf for a single interferer in this paper lays a solid foundation to calculate the statistics for multiple interferers.

  17. 基于网络分析法的逆向物流外包或自营决策%Outsourcing or self-operation decision making in reverse logistics based on analytic network process

    Institute of Scientific and Technical Information of China (English)

    郭滕达; 李向阳

    2008-01-01

    为了解决制造业逆向物流外包或自营决策问题,以网络分析法(analytic network process,ANP)理论为基础,建立了影响制造业逆向物流外包或自营决策的网络图.以某汽车制造企业为例,通过SD软件进行仿真模拟和灵敏度分析,透视影响该汽车制造企业逆向物流外包或自营决策的因素权重,验证了该网络图的有效性;同时提供了一种解决逆向物流决策问题的定量化思路,期望对企业的逆向物流运作提供决策借鉴.

  18. AN ANALYTICAL SOLUTION FOR AN EXPONENTIAL TYPE DISPERSION PROCESS

    Institute of Scientific and Technical Information of China (English)

    王子亭

    2001-01-01

    The dispersion process in heterogeneous porous media is distance-dependent,which results from multi-scaling property of heterogeneous structure. An analytical model describing the dispersion with an exponential dispersion function is built, which is transformed into ODE problem with variable coefficients, and obtained analytical solution for two type boundary conditions using hypergeometric function and inversion technique.According to the analytical solution and computing results the difference between the exponential dispersion and constant dispersion process is analyzed.

  19. A Review of Predictive Analytic Applications of Bayesian Network

    Directory of Open Access Journals (Sweden)

    Mohammad Hafiz Mohd Yusof

    2016-12-01

    Full Text Available Malware can be defined as malicious software that infiltrates a network and computer host in a variety of ways, from software flaws to social engineering. Due to the polymorphic and stealth nature of malware attacks, a signature-based analysis that is done statically is no longer sufficient to solve such a problem. Therefore, a behavioral or anomalous analysis will provide a more dynamic approach for the solution. However recent studies have shown that current behavioral methods at the network-level have several issues such as the inability to predict zero-day attacks, high-level assumptions, non-inferential analysis and performance issues. Other than performance issues, this study has identified common scientific characteristics which are reduced parameter, θ and lack of priori information p(θ that causes the problems. Previous methods were proposed to address the problem however were still unable to resolve the stated scientific hitches. Due to the shortcomings, the Bayesian Network in terms of its probabilistic modelling would be the best method to deal with the stated scientific glitches which also have been proven in the area of Clinical Expert Systems, Artificial Intelligence and Pattern Recognition. This study will critically review the predictive analytic applications of Bayesian Network model in different research domain such as Clinical Expert Systems, Artificial Intelligence and Pattern Recognition and discover any potential approach available in the domain of Computer Networks. Based on the review, this paper has identified several Bayesian Network properties which have been used to overcome the abovementioned problems. Those properties will be applied in future studies to model the Behavioral Malware Predictive Analytics.

  20. Evaluation methodology for comparing memory and communication of analytic processes in visual analytics

    Energy Technology Data Exchange (ETDEWEB)

    Ragan, Eric D [ORNL; Goodall, John R [ORNL

    2014-01-01

    Provenance tools can help capture and represent the history of analytic processes. In addition to supporting analytic performance, provenance tools can be used to support memory of the process and communication of the steps to others. Objective evaluation methods are needed to evaluate how well provenance tools support analyst s memory and communication of analytic processes. In this paper, we present several methods for the evaluation of process memory, and we discuss the advantages and limitations of each. We discuss methods for determining a baseline process for comparison, and we describe various methods that can be used to elicit process recall, step ordering, and time estimations. Additionally, we discuss methods for conducting quantitative and qualitative analyses of process memory. By organizing possible memory evaluation methods and providing a meta-analysis of the potential benefits and drawbacks of different approaches, this paper can inform study design and encourage objective evaluation of process memory and communication.

  1. The Computer-Aided Analytic Process Model. Operations Handbook for the APM (Analytic Process Model) Demonstration Package. Appendix

    Science.gov (United States)

    1986-01-01

    The Analytic Process Model for System Design and Measurement: A Computer-Aided Tool for Analyzing Training Systems and Other Human-Machine Systems. A...separate companion volume--The Computer-Aided Analytic Process Model : Operations Handbook for the APM Demonstration Package is also available under

  2. 基于ANP的杉木风景游憩林评价指标体系%Study on evaluation index system of Cunninghamia lanceolata scenic and recreational forests based on analytic network process

    Institute of Scientific and Technical Information of China (English)

    梅光义; 孙玉军; 林方; 王轶夫

    2013-01-01

    So far, there is no evaluation index system of Cunninghamia lanceolata scenic and recreational forests by analytic network process. Based on the data of scenic and recreational forests at home and abroad, by taking C. lanceolata forests as studying objects, an evaluation index system of Cunninghamia lanceolata scenic and recreational forests was set up by analytic network process. The results show that in the first grade indexes, the weighting of forest aesthetics index was the biggest, that of other indexes followed by: forest measurement, stand spatial structure, Characteristics of surface cover, forest's health. In the second grade indexes, the weightings ordered by magnitude: slope, tree height, transparency distance, DBH, life form, canopy density, crown width, density of trees number, show degree of trunk, height of shrub, green quantity, proportion of coniferous trees and broadleaved trees, fallen dead wood, height of grass, coverage, distribution of grass and shrub, stem form, color diversity, forest tree distribution, litter distribution, mean height under first alive branch. This study provides basis data for city forest planning, management and further research.%网络分析法是使用很广的评价方法,该方法考虑了评价对象定量和定性指标之间相互影响,准确性更高.目前还没有学者利用网络分析方法(ANP)建立杉木风景游憩林林内景观质量评价指标体系的网络分析模型.在查阅国内外风景游憩林—致性结论的基础上,以杉木人工林为研究对象,运用网络分析法建立风景游憩林林内景观评价指标体系.结果表明:森林美学指标在主指标中权重是最大的,其余依次是林木测树、林分空间结构、地被物层特征、森林健康;二级指标中,权重从大到小依次是:坡度、平均树高、通视距离、林分平均直径、生活型组成、郁闭度、冠幅、乔木株数、树干显示度、灌木高度、针阔比、绿量、枯倒

  3. Image Processing Variations with Analytic Kernels

    CERN Document Server

    Garnett, John B; Vese, Luminita A

    2012-01-01

    Let $f\\in L^1(\\R^d)$ be real. The Rudin-Osher-Fatemi model is to minimize $\\|u\\|_{\\dot{BV}}+\\lambda\\|f-u\\|_{L^2}^2$, in which one thinks of $f$ as a given image, $\\lambda > 0$ as a "tuning parameter", $u$ as an optimal "cartoon" approximation to $f$, and $f-u$ as "noise" or "texture". Here we study variations of the R-O-F model having the form $\\inf_u\\{\\|u\\|_{\\dot{BV}}+\\lambda \\|K*(f-u)\\|_{L^p}^q\\}$ where $K$ is a real analytic kernel such as a Gaussian. For these functionals we characterize the minimizers $u$ and establish several of their properties, including especially their smoothness properties. In particular we prove that on any open set on which $u \\in W^{1,1}$ and $\

  4. Analytic standard errors for exploratory process factor analysis.

    Science.gov (United States)

    Zhang, Guangjian; Browne, Michael W; Ong, Anthony D; Chow, Sy Miin

    2014-07-01

    Exploratory process factor analysis (EPFA) is a data-driven latent variable model for multivariate time series. This article presents analytic standard errors for EPFA. Unlike standard errors for exploratory factor analysis with independent data, the analytic standard errors for EPFA take into account the time dependency in time series data. In addition, factor rotation is treated as the imposition of equality constraints on model parameters. Properties of the analytic standard errors are demonstrated using empirical and simulated data.

  5. Analytical network-averaging of the tube model:. Rubber elasticity

    Science.gov (United States)

    Khiêm, Vu Ngoc; Itskov, Mikhail

    2016-10-01

    In this paper, a micromechanical model for rubber elasticity is proposed on the basis of analytical network-averaging of the tube model and by applying a closed-form of the Rayleigh exact distribution function for non-Gaussian chains. This closed-form is derived by considering the polymer chain as a coarse-grained model on the basis of the quantum mechanical solution for finitely extensible dumbbells (Ilg et al., 2000). The proposed model includes very few physically motivated material constants and demonstrates good agreement with experimental data on biaxial tension as well as simple shear tests.

  6. 基于层次分析法的异构网络切换技术研究%Research of switching technology in heterogeneous network based on analytic hierarchy process

    Institute of Scientific and Technical Information of China (English)

    黄超; 程乃平

    2013-01-01

    Heterogeneous network is popular in the development of mobile network,in which the switching technology plays an important role. The vertical switching technology is studied based on the heterogeneous network. Analytic hierarchy pro⁃cess is used to solve the problem of the weighting coefficient with the different attributes in the cost function. It provides a reference for the network switching when the network status is affected by multiple factors.%  异构网络是移动互联网的热门发展方向,切换技术是其研究的重要内容。基于异构网络,对其垂直切换技术进行研究。采用系统研究中的层次分析方法,解决目标代价函数中不同属性的加权系数计算问题,为多个因素共同影响网络状态时进行网络切换选择提供了参考依据。

  7. Accelerating Network Traffic Analytics Using Query-DrivenVisualization

    Energy Technology Data Exchange (ETDEWEB)

    Bethel, E. Wes; Campbell, Scott; Dart, Eli; Stockinger, Kurt; Wu,Kesheng

    2006-07-29

    Realizing operational analytics solutions where large and complex data must be analyzed in a time-critical fashion entails integrating many different types of technology. This paper focuses on an interdisciplinary combination of scientific data management and visualization/analysis technologies targeted at reducing the time required for data filtering, querying, hypothesis testing and knowledge discovery in the domain of network connection data analysis. We show that use of compressed bitmap indexing can quickly answer queries in an interactive visual data analysis application, and compare its performance with two alternatives for serial and parallel filtering/querying on 2.5 billion records worth of network connection data collected over a period of 42 weeks. Our approach to visual network connection data exploration centers on two primary factors: interactive ad-hoc and multiresolution query formulation and execution over n dimensions and visual display of then-dimensional histogram results. This combination is applied in a case study to detect a distributed network scan and to then identify the set of remote hosts participating in the attack. Our approach is sufficiently general to be applied to a diverse set of data understanding problems as well as used in conjunction with a diverse set of analysis and visualization tools.

  8. General analytical solutions for DC/AC circuit network analysis

    CERN Document Server

    Rubido, Nicolás; Baptista, Murilo S

    2014-01-01

    In this work, we present novel general analytical solutions for the currents that are developed in the edges of network-like circuits when some nodes of the network act as sources/sinks of DC or AC current. We assume that Ohm's law is valid at every edge and that charge at every node is conserved (with the exception of the source/sink nodes). The resistive, capacitive, and/or inductive properties of the lines in the circuit define a complex network structure with given impedances for each edge. Our solution for the currents at each edge is derived in terms of the eigenvalues and eigenvectors of the Laplacian matrix of the network defined from the impedances. This derivation also allows us to compute the equivalent impedance between any two nodes of the circuit and relate it to currents in a closed circuit which has a single voltage generator instead of many input/output source/sink nodes. Contrary to solving Kirchhoff's equations, our derivation allows to easily calculate the redistribution of currents that o...

  9. Laplacian spectra of recursive treelike small-world polymer networks: analytical solutions and applications.

    Science.gov (United States)

    Liu, Hongxiao; Zhang, Zhongzhi

    2013-03-21

    A central issue in the study of polymer physics is to understand the relation between the geometrical properties of macromolecules and various dynamics, most of which are encoded in the Laplacian spectra of a related graph describing the macrostructural structure. In this paper, we introduce a family of treelike polymer networks with a parameter, which has the same size as the Vicsek fractals modeling regular hyperbranched polymers. We study some relevant properties of the networks and show that they have an exponentially decaying degree distribution and exhibit the small-world behavior. We then study the Laplacian eigenvalues and their corresponding eigenvectors of the networks under consideration, with both quantities being determined through the recursive relations deduced from the network structure. Using the obtained recursive relations we can find all the eigenvalues and eigenvectors for the networks with any size. Finally, as some applications, we use the eigenvalues to study analytically or semi-analytically three dynamical processes occurring in the networks, including random walks, relaxation dynamics in the framework of generalized Gaussian structure, as well as the fluorescence depolarization under quasiresonant energy transfer. Moreover, we compare the results with those corresponding to Vicsek fractals, and show that the dynamics differ greatly for the two network families, which thus enables us to distinguish between them.

  10. Analytical SIR for Self-Organizing Wireless Networks

    Directory of Open Access Journals (Sweden)

    Abdurazak Mudesir

    2009-01-01

    Full Text Available The signal to interference ratio (SIR in the presence of multipath fading, shadowing and path loss is a valuable parameter for studying the capacity of a wireless system. This paper presents a new generalized path loss equation that takes into account the large-scale path loss as well as the small-scale multipath fading. The probability density function (pdf of the SIR for self-organising wireless networks with Nakagami-m channel model is analytically derived using the new path loss equation. We chose the Nakagami-m channel fading model because it encompasses a large class of fading channels. The results presented show good agreement between the analytical and Monte Carlo- based methods. Furthermore, the pdf of the signal to interference plus noise ratio (SINR is provided as an extension to the SIR derivation. The analytical derivation of the pdf for a single interferer in this paper lays a solid foundation to calculate the statistics for multiple interferers.

  11. Neural Network Communications Signal Processing

    Science.gov (United States)

    1994-08-01

    Technical Information Report for the Neural Network Communications Signal Processing Program, CDRL A003, 31 March 1993. Software Development Plan for...track changing jamming conditions to provide the decoder with the best log- likelihood ratio metrics at a given time. As part of our development plan we...Artificial Neural Networks (ICANN-91) Volume 2, June 24-28, 1991, pp. 1677-1680. Kohonen, Teuvo, Raivio, Kimmo, Simula, Oli, Venta , 011i, Henriksson

  12. Hybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical Models

    OpenAIRE

    Abdelkrim Moussaoui; Yacine Selaimia; Hadj A. Abbassi

    2006-01-01

    The authors discuss the combination of an Artificial Neural Network (ANN) with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the real rolling mill data. Completely independent set of real rolling data were used to evaluate the capa...

  13. Using Hybrid Simulation/Analytical Queueing Networks to Capacitate USAF Air Mobility Command Passenger Terminals

    Science.gov (United States)

    2012-03-01

    airports’ terminal processing facilities again utilizing the AACC /IATA criteria. This method , however, received much criticism for various fundamental flaws...networks in the literature are limited, so a method for using DES to adjust for ar- rival time-dependency in QNA is developed. Second, beyond quality of...terminal in particular, using a hybrid of simulation and analytical methods . The challenge, then, is to determine the optimal capacity given estimated

  14. The influence of retrieval practice on metacognition: The contribution of analytic and non-analytic processes.

    Science.gov (United States)

    Miller, Tyler M; Geraci, Lisa

    2016-05-01

    People may change their memory predictions after retrieval practice using naïve theories of memory and/or by using subjective experience - analytic and non-analytic processes respectively. The current studies disentangled contributions of each process. In one condition, learners studied paired-associates, made a memory prediction, completed a short-run of retrieval practice and made a second prediction. In another condition, judges read about a yoked learners' retrieval practice performance but did not participate in retrieval practice and therefore, could not use non-analytic processes for the second prediction. In Study 1, learners reduced their predictions following moderately difficult retrieval practice whereas judges increased their predictions. In Study 2, learners made lower adjusted predictions than judges following both easy and difficult retrieval practice. In Study 3, judge-like participants used analytic processes to report adjusted predictions. Overall, the results suggested non-analytic processes play a key role for participants to reduce their predictions after retrieval practice.

  15. Cloud reasoning threat assessment based on analytic network process%结合网络层次分析法的云推理威胁评估模型

    Institute of Scientific and Technical Information of China (English)

    高杨; 李东生; 雍爱霞

    2016-01-01

    针对传统的威胁评估方法存在指标数据冗余、指标权值设置合理性、推理有效性等问题,建立结合网络层次分析法的云推理威胁评估模型,能够合理精简指标,有效优化推理规则。将该模型用于目标识别系统的威胁评估,首先给出威胁评估指标,用网络层次分析法精简指标并得到规范化权值;构建指标云模型,将规范后的指标数据输入前件云发生器,建立推理规则库,引入分级结构简化规则数,运用加权扎德算子实现规则的合成,将合成结果输入后件云发生器得到威胁度云滴,经多次重复操作后,处理数据得到系统威胁度。最后,以实例说明方法的有效性。%There were some problems in the traditional threat assessment method,such as the index data redundancy,index weight unreasonable and bad reasoning effectiveness.So the cloud reasoning threat assessment model based on analytic network process(ANP)was constructed,which could simplify the reasoning indexes and optimize the inference rules.The model was used to assess the threat degree of different target recognition systems.Firstly,the reasoning indicators were given and simpli-fied by ANP model.Then indexes cloud model were constructed and the standardized indicators data were put into the anteced-ent cloud generators.Then the reasoning rules were constructed which could be reduced by classification structure.The rules were synthetic by weighted Zadeh operator and the synthetic results were put into consequent cloud generator to get the threat degree cloud droplet.After repeating the operation,the system threat degree could be gotten.Finally,the example shows the method is effective and reasonable.

  16. Transformations for polyhedral process networks

    NARCIS (Netherlands)

    Meijer, Sjoerd

    2010-01-01

    We use the polyhedral process network (PPN) model of computation to program and map streaming applications onto embedded Multi-Processor Systems on Chip (MPSoCs) platforms. The PPNs, which can be automatically derived from sequential program applications, do not necessarily meet the performance/res

  17. Controlling Contagion Processes in Time-Varying Networks

    CERN Document Server

    Liu, Suyu; Karsai, Marton; Vespignani, Alessandro

    2013-01-01

    The vast majority of strategies aimed at controlling contagion processes on networks considers the connectivity pattern of the system as either quenched or annealed. However, in the real world many networks are highly dynamical and evolve in time concurrently to the contagion process. Here, we derive an analytical framework for the study of control strategies specifically devised for time-varying networks. We consider the removal/immunization of individual nodes according the their activity in the network and develop a block variable mean-field approach that allows the derivation of the equations describing the evolution of the contagion process concurrently to the network dynamic. We derive the critical immunization threshold and assess the effectiveness of the control strategies. Finally, we validate the theoretical picture by simulating numerically the information spreading process and control strategies in both synthetic networks and a large-scale, real-world mobile telephone call dataset

  18. Pellet manufacturing by extrusion-spheronization using process analytical technology

    DEFF Research Database (Denmark)

    Sandler, Niklas; Rantanen, Jukka; Heinämäki, Jyrki;

    2005-01-01

    The aim of this study was to investigate the phase transitions occurring in nitrofurantoin and theophylline formulations during pelletization by extrusion-spheronization. An at-line process analytical technology (PAT) approach was used to increase the understanding of the solid-state behavior...... hydrate (nitrofurantoin), dehydration was observed at higher temperatures. To reach an understanding of the process and to find the critical process parameters, the use of complementary analytical techniques are absolutely necessary when signals from APIs and different excipients overlap each other....

  19. Extending the applicability of the analytic hierarchy process

    NARCIS (Netherlands)

    Huizingh, K.R.E.; Vrolijk, H.C.J.

    1997-01-01

    The Analytic Hierarchy Process (AHP) has often been used to support decisions that only have to be made once. in this study, we explore whether the AHP can be applied to repetitive decision-making. We suggest a variant of the process to elicit implicit decision models that evaluate alternatives not

  20. Analytical Approach for Performance of Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Prof. Satish K Shah

    2012-06-01

    Full Text Available Wireless Sensor Networks (WSN have been noticed and researched in recent years. WSNs have inherent and unique characteristics compared with traditional networks. It consists of light-weight, low power and small size sensor nodes (SNs. They have ability to monitor, calculate and communicate wirelessly. Sensor nodes should send their collected data to a determined node called Sink. The sink processes data and performs appropriate actions. Nodes using routing protocol determine a path for sending data to sink. Sensor nodes have a limited transmission range, and their processing and storage capabilities as well as their energy resources are also limited. Routing protocols for wireless sensor networks have to ensure reliable multi-hop communication under these conditions. In this paper, we provide an accurate simulation model with respect to the specifications of IEEE 802.15.4 standard. We simulated and analyzed two different scenarios, where we examined the topological features and performance of the IEEE 802.15.4 standard using OPNET simulator. We compared the two possible topologies (Mesh and Tree to each other. The comparative results have been reported for the performance metrics like: Number of hopes, End to End Delay and Load of network.

  1. Interacting Social Processes on Interconnected Networks

    Science.gov (United States)

    Alvarez-Zuzek, Lucila G.; La Rocca, Cristian E.; Vazquez, Federico; Braunstein, Lidia A.

    2016-01-01

    We propose and study a model for the interplay between two different dynamical processes –one for opinion formation and the other for decision making– on two interconnected networks A and B. The opinion dynamics on network A corresponds to that of the M-model, where the state of each agent can take one of four possible values (S = −2,−1, 1, 2), describing its level of agreement on a given issue. The likelihood to become an extremist (S = ±2) or a moderate (S = ±1) is controlled by a reinforcement parameter r ≥ 0. The decision making dynamics on network B is akin to that of the Abrams-Strogatz model, where agents can be either in favor (S = +1) or against (S = −1) the issue. The probability that an agent changes its state is proportional to the fraction of neighbors that hold the opposite state raised to a power β. Starting from a polarized case scenario in which all agents of network A hold positive orientations while all agents of network B have a negative orientation, we explore the conditions under which one of the dynamics prevails over the other, imposing its initial orientation. We find that, for a given value of β, the two-network system reaches a consensus in the positive state (initial state of network A) when the reinforcement overcomes a crossover value r*(β), while a negative consensus happens for r βc. We develop an analytical mean-field approach that gives an insight into these regimes and shows that both dynamics are equivalent along the crossover line (r*, β*). PMID:27689698

  2. Comparison of Analytical and Measured Performance Results on Network Coding in IEEE 802.11 Ad-Hoc Networks

    DEFF Research Database (Denmark)

    Zhao, Fang; Médard, Muriel; Hundebøll, Martin

    2012-01-01

    Network coding is a promising technology that has been shown to improve throughput in wireless mesh networks. In this paper, we compare the analytical and experimental performance of COPE-style network coding in IEEE 802.11 ad-hoc networks. In the experiments, we use a lightweight scheme called...

  3. Intersubjectivity and the creation of meaning in the analytic process.

    Science.gov (United States)

    Maier, Christian

    2014-11-01

    By means of a clinical illustration, the author describes how the intersubjective exchanges involved in an analytic process facilitate the representation of affects and memories which have been buried in the unconscious or indeed have never been available to consciousness. As a result of projective identificatory processes in the analytic relationship, in this example the analyst falls into a situation of helplessness which connects with his own traumatic experiences. Then he gets into a formal regression of the ego and responds with a so-to-speak hallucinatory reaction-an internal image which enables him to keep the analytic process on track and, later on, to construct an early traumatic experience of the analysand.

  4. Analytic description of adaptive network topologies in a steady state.

    Science.gov (United States)

    Wieland, Stefan; Nunes, Ana

    2015-06-01

    In many complex systems, states and interaction structure coevolve towards a dynamic equilibrium. For the adaptive contact process, we obtain approximate expressions for the degree distributions that characterize the interaction network in such active steady states. These distributions are shown to agree quantitatively with simulations except when rewiring is much faster than state update and used to predict and to explain general properties of steady-state topologies. The method generalizes easily to other coevolutionary dynamics.

  5. The analytic hierarchy process as a support for decision making

    Directory of Open Access Journals (Sweden)

    Filipović Milanka

    2007-01-01

    Full Text Available The first part of this text deals with a convention site selection as one of the most lucrative areas in the tourism industry. The second part gives a further description of a method for decision making - the analytic hierarchy process. The basic characteristics: hierarchy constructions and pair wise comparison on the given level of the hierarchy are allured. The third part offers an example of application. This example is solved using the Super - Decision software, which is developed as a computer support for the analytic hierarchy process. This indicates that the AHP approach is a useful tool to help support a decision of convention site selection. .

  6. Lyophilization: a useful approach to the automation of analytical processes?

    OpenAIRE

    de Castro, M. D. Luque; Izquierdo, A.

    1990-01-01

    An overview of the state-of-the-art in the use of lyophilization for the pretreatment of samples and standards prior to their storage and/or preconcentration is presented. The different analytical applications of this process are dealt with according to the type of material (reagent, standard, samples) and matrix involved.

  7. Evaluating Modeling Sessions Using the Analytic Hierarchy Process

    NARCIS (Netherlands)

    Ssebuggwawo, D.; Hoppenbrouwers, S.J.B.A.; Proper, H.A.

    2008-01-01

    In this paper, which is methodological in nature, we propose to use an established method from the field of Operations Research, the Analytic Hierarchy Process (AHP), in the integrated, stakeholder- oriented evaluation of enterprise modeling sessions: their language, pro- cess, tool (medium), and pr

  8. Literature Review on Processing and Analytical Methods for ...

    Science.gov (United States)

    Report The purpose of this report was to survey the open literature to determine the current state of the science regarding the processing and analytical methods currently available for recovery of F. tularensis from water and soil matrices, and to determine what gaps remain in the collective knowledge concerning F. tularensis identification from environmental samples.

  9. Decision support for information systems management : applying analytic hierarchy process

    NARCIS (Netherlands)

    Huizingh, Eelko K.R.E.; Vrolijk, Hans C.J.

    1995-01-01

    Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly turbulent environment. In this paper we explore the appropriateness of Analytic Hierarchy Process to support I/S decision

  10. Coupling entropy of co-processing model on social networks

    Science.gov (United States)

    Zhang, Zhanli

    2015-08-01

    Coupling entropy of co-processing model on social networks is investigated in this paper. As one crucial factor to determine the processing ability of nodes, the information flow with potential time lag is modeled by co-processing diffusion which couples the continuous time processing and the discrete diffusing dynamics. Exact results on master equation and stationary state are achieved to disclose the formation. In order to understand the evolution of the co-processing and design the optimal routing strategy according to the maximal entropic diffusion on networks, we propose the coupling entropy comprehending the structural characteristics and information propagation on social network. Based on the analysis of the co-processing model, we analyze the coupling impact of the structural factor and information propagating factor on the coupling entropy, where the analytical results fit well with the numerical ones on scale-free social networks.

  11. Distributed data networks: a blueprint for Big Data sharing and healthcare analytics.

    Science.gov (United States)

    Popovic, Jennifer R

    2017-01-01

    This paper defines the attributes of distributed data networks and outlines the data and analytic infrastructure needed to build and maintain a successful network. We use examples from one successful implementation of a large-scale, multisite, healthcare-related distributed data network, the U.S. Food and Drug Administration-sponsored Sentinel Initiative. Analytic infrastructure-development concepts are discussed from the perspective of promoting six pillars of analytic infrastructure: consistency, reusability, flexibility, scalability, transparency, and reproducibility. This paper also introduces one use case for machine learning algorithm development to fully utilize and advance the portfolio of population health analytics, particularly those using multisite administrative data sources.

  12. SensePath: Understanding the Sensemaking Process Through Analytic Provenance

    OpenAIRE

    Nguyen, P.; Xu, K.; Wheat, A.; Wong, B.L.W.; Attfield, S.; Fields, B.

    2016-01-01

    Sensemaking is described as the process of comprehension, finding meaning and gaining insight from information, producing new knowledge and informing further action. Understanding the sensemaking process allows building effective visual analytics tools to make sense of large and complex datasets. Currently, it is often a manual and time-consuming undertaking to comprehend this: researchers collect observation data, transcribe screen capture videos and think-aloud recordings, identify recurrin...

  13. Social Sensor Analytics: Making Sense of Network Models in Social Media

    Energy Technology Data Exchange (ETDEWEB)

    Dowling, Chase P.; Harrison, Joshua J.; Sathanur, Arun V.; Sego, Landon H.; Corley, Courtney D.

    2015-07-27

    Social networks can be thought of as noisy sensor networks mapping real world information to the web. Owing to the extensive body of literature in sensor network analysis, this work sought to apply several novel and traditional methods in sensor network analysis for the purposes of efficiently interrogating social media data streams from raw data. We carefully revisit our definition of a social media signal from previous work both in terms of time-varying features within the data and the networked nature of the medium. Further, we detail our analysis of global patterns in Twitter over the months of November 2013 and June 2014, detect and categorize events, and illustrate how these analyses can be used to inform graph-based models of Twitter, namely using a recent network influence model called PhySense: similar to PageRank but tuned to behavioral analysis by leveraging a sociologically inspired probabilistic model. We ultimately identify forms of information dissemination via analysis of time series and dynamic graph spectra and corroborate these findings through manual investigation of the data as a requisite step in modeling the diffusion process with PhySense. We hope to sufficiently characterize global behavior in a medium such as Twitter as a means of learning global model parameters one may use to predict or simulate behavior on a large scale. We have made our time series and dynamic graph analytical code available via a GitHub repository https://github.com/cpatdowling/salsa and our data are available upon request.

  14. Developmental changes in analytic and holistic processes in face perception

    Directory of Open Access Journals (Sweden)

    Jane Elizabeth Joseph

    2015-08-01

    Full Text Available Although infants demonstrate sensitivity to some kinds of perceptual information in faces, many face capacities continue to develop throughout childhood. One debate is the degree to which children perceive faces analytically versus holistically and how these processes undergo developmental change. In the present study, school-aged children and adults performed a perceptual matching task with upright and inverted face and house pairs that varied in similarity of featural or 2nd order configural information. Holistic processing was operationalized as the degree of serial processing when discriminating faces and houses (i.e., increased reaction time, RT, as more features or spacing relations were shared between stimuli. Analytical processing was operationalized as the degree of parallel processing (or no change in reaction time as a function of greater similarity of features or spatial relations. Adults showed the most evidence for holistic processing (most strongly for 2nd order faces and holistic processing was weaker for inverted faces and houses. Younger children (6-8 years, in contrast, showed analytical processing across all experimental manipulations. Older children (9-11 years showed an intermediate pattern with a trend toward holistic processing of 2nd order faces like adults, but parallel processing in other experimental conditions like younger children. These findings indicate that holistic face representations emerge around 10 years of age. In adults both 2nd order and featural information are incorporated into holistic representations, whereas older children only incorporate 2nd order information. Holistic processing was not evident in younger children. Hence, the development of holistic face representations relies on 2nd order processing initially then incorporates featural information by adulthood.

  15. Process-based network decomposition reveals backbone motif structure.

    Science.gov (United States)

    Wang, Guanyu; Du, Chenghang; Chen, Hao; Simha, Rahul; Rong, Yongwu; Xiao, Yi; Zeng, Chen

    2010-06-08

    A central challenge in systems biology today is to understand the network of interactions among biomolecules and, especially, the organizing principles underlying such networks. Recent analysis of known networks has identified small motifs that occur ubiquitously, suggesting that larger networks might be constructed in the manner of electronic circuits by assembling groups of these smaller modules. Using a unique process-based approach to analyzing such networks, we show for two cell-cycle networks that each of these networks contains a giant backbone motif spanning all the network nodes that provides the main functional response. The backbone is in fact the smallest network capable of providing the desired functionality. Furthermore, the remaining edges in the network form smaller motifs whose role is to confer stability properties rather than provide function. The process-based approach used in the above analysis has additional benefits: It is scalable, analytic (resulting in a single analyzable expression that describes the behavior), and computationally efficient (all possible minimal networks for a biological process can be identified and enumerated).

  16. ANALYTICAL SOLUTION OF FILLING AND EXHAUSTING PROCESS IN PNEUMATIC SYSTEM

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The filling and exhausting processes in a pneumatic system are involved with many factors,and numerical solutions of many partial differential equations are always adapted in the study of those processes, which have been proved to be troublesome and less intuitive. Analytical solutions based on loss-less tube model and average friction tube model are found respectively by using fluid net theory,and they fit the experimental results well. The research work shows that: Fluid net theory can be used to solve the analytical solution of filling and exhausting processes of pneumatic system, and the result of loss-less tube model is close to that of average friction model, so loss-less tube model is recommended since it is simpler, and the difference between filling time and exhausting time is determined by initial and final pressures, the volume of container and the section area of tube, and has nothing to do with the length of the tube.

  17. Parametrization of analytic interatomic potential functions using neural networks.

    Science.gov (United States)

    Malshe, M; Narulkar, R; Raff, L M; Hagan, M; Bukkapatnam, S; Komanduri, R

    2008-07-28

    A generalized method that permits the parameters of an arbitrary empirical potential to be efficiently and accurately fitted to a database is presented. The method permits the values of a subset of the potential parameters to be considered as general functions of the internal coordinates that define the instantaneous configuration of the system. The parameters in this subset are computed by a generalized neural network (NN) with one or more hidden layers and an input vector with at least 3n-6 elements, where n is the number of atoms in the system. The Levenberg-Marquardt algorithm is employed to efficiently affect the optimization of the weights and biases of the NN as well as all other potential parameters being treated as constants rather than as functions of the input coordinates. In order to effect this minimization, the usual Jacobian employed in NN operations is modified to include the Jacobian of the computed errors with respect to the parameters of the potential function. The total Jacobian employed in each epoch of minimization is the concatenation of two Jacobians, one containing derivatives of the errors with respect to the weights and biases of the network, and the other with respect to the constant parameters of the potential function. The method provides three principal advantages. First, it obviates the problem of selecting the form of the functional dependence of the parameters upon the system's coordinates by employing a NN. If this network contains a sufficient number of neurons, it will automatically find something close to the best functional form. This is the case since Hornik et al., [Neural Networks 2, 359 (1989)] have shown that two-layer NNs with sigmoid transfer functions in the first hidden layer and linear functions in the output layer are universal approximators for analytic functions. Second, the entire fitting procedure is automated so that excellent fits are obtained rapidly with little human effort. Third, the method provides a

  18. An analytical approach to managing complex process problems

    Energy Technology Data Exchange (ETDEWEB)

    Ramstad, Kari; Andersen, Espen; Rohde, Hans Christian; Tydal, Trine

    2006-03-15

    The oil companies are continuously investing time and money to ensure optimum regularity on their production facilities. High regularity increases profitability, reduces workload on the offshore organisation and most important; - reduces discharge to air and sea. There are a number of mechanisms and tools available in order to achieve high regularity. Most of these are related to maintenance, system integrity, well operations and process conditions. However, for all of these tools, they will only be effective if quick and proper analysis of fluids and deposits are carried out. In fact, analytical backup is a powerful tool used to maintain optimised oil production, and should as such be given high priority. The present Operator (Hydro Oil and Energy) and the Chemical Supplier (MI Production Chemicals) have developed a cooperation to ensure that analytical backup is provided efficiently to the offshore installations. The Operator's Research and Development (R and D) departments and the Chemical Supplier have complementary specialties in both personnel and equipment, and this is utilized to give the best possible service when required from production technologists or operations. In order for the Operator's Research departments, Health, Safety and Environment (HSE) departments and Operations to approve analytical work performed by the Chemical Supplier, a number of analytical tests are carried out following procedures agreed by both companies. In the present paper, three field case examples of analytical cooperation for managing process problems will be presented. 1) Deposition in a Complex Platform Processing System. 2) Contaminated Production Chemicals. 3) Improved Monitoring of Scale Inhibitor, Suspended Solids and Ions. In each case the Research Centre, Operations and the Chemical Supplier have worked closely together to achieve fast solutions and Best Practice. (author) (tk)

  19. Neural Networks for Signal Processing and Control

    Science.gov (United States)

    Hesselroth, Ted Daniel

    cortex by the application of lateral interactions during the learning phase. The organization of the mature network is compared to that found in the macaque monkey by several analytical tests. The capacity of the network to process images is investigated. By a method of reconstructing the input images in terms of V1 activities, the simulations show that images can be faithfully represented in V1 by the proposed network. The signal-to-noise ratio of the image is improved by the representation, and compression ratios of well over two-hundred are possible. Lateral interactions between V1 neurons sharpen their orientational tuning. We further study the dynamics of the processing, showing that the rate of decrease of the error of the reconstruction is maximized for the receptive fields used. Lastly, we employ a Fokker-Planck equation for a more detailed prediction of the error value vs. time. The Fokker-Planck equation for an underdamped system with a driving force is derived, yielding an energy-dependent diffusion coefficient which is the integral of the spectral densities of the force and the velocity of the system. The theory is applied to correlated noise activation and resonant activation. Simulation results for the error of the network vs time are compared to the solution of the Fokker-Planck equation.

  20. Roll levelling semi-analytical model for process optimization

    Science.gov (United States)

    Silvestre, E.; Garcia, D.; Galdos, L.; Saenz de Argandoña, E.; Mendiguren, J.

    2016-08-01

    Roll levelling is a primary manufacturing process used to remove residual stresses and imperfections of metal strips in order to make them suitable for subsequent forming operations. In the last years the importance of this process has been evidenced with the apparition of Ultra High Strength Steels with strength > 900 MPa. The optimal setting of the machine as well as a robust machine design has become critical for the correct processing of these materials. Finite Element Method (FEM) analysis is the widely used technique for both aspects. However, in this case, the FEM simulation times are above the admissible ones in both machine development and process optimization. In the present work, a semi-analytical model based on a discrete bending theory is presented. This model is able to calculate the critical levelling parameters i.e. force, plastification rate, residual stresses in a few seconds. First the semi-analytical model is presented. Next, some experimental industrial cases are analyzed by both the semi-analytical model and the conventional FEM model. Finally, results and computation times of both methods are compared.

  1. Decision support for information systems management: applying analytic hierarchy process

    OpenAIRE

    Huizingh, Eelko K.R.E.; Vrolijk, Hans C.J.

    1995-01-01

    Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly turbulent environment. In this paper we explore the appropriateness of Analytic Hierarchy Process to support I/S decision making. AHP can be applied if the decision problem includes multiple objectives, conflicting criteria, incommensurable units, and aims at selecting an alternative from a known set of alternatives. ...

  2. Contagion processes on the static and activity driven coupling networks

    CERN Document Server

    Lei, Yanjun; Guo, Quantong; Ma, Yifang; Li, Meng; Zheng, Zhiming

    2015-01-01

    The evolution of network structure and the spreading of epidemic are common coexistent dynamical processes. In most cases, network structure is treated either static or time-varying, supposing the whole network is observed in a same time window. In this paper, we consider the epidemic spreading on a network consisting of both static and time-varying structures. At meanwhile, the time-varying part and the epidemic spreading are supposed to be of the same time scale. We introduce a static and activity driven coupling (SADC) network model to characterize the coupling between static (strong) structure and dynamic (weak) structure. Epidemic thresholds of SIS and SIR model are studied on SADC both analytically and numerically with various coupling strategies, where the strong structure is of homogeneous or heterogeneous degree distribution. Theoretical thresholds obtained from SADC model can both recover and generalize the classical results in static and time-varying networks. It is demonstrated that weak structure...

  3. Process Neural Networks Theory and Applications

    CERN Document Server

    He, Xingui

    2010-01-01

    "Process Neural Networks - Theory and Applications" proposes the concept and model of a process neural network for the first time, showing how it expands the mapping relationship between the input and output of traditional neural networks, and enhancing the expression capability for practical problems, with broad applicability to solving problems relating to process in practice. Some theoretical problems such as continuity, functional approximation capability, and computing capability, are strictly proved. The application methods, network construction principles, and optimization alg

  4. AtPID: the overall hierarchical functional protein interaction network interface and analytic platform for Arabidopsis.

    Science.gov (United States)

    Li, Peng; Zang, Weidong; Li, Yuhua; Xu, Feng; Wang, Jigang; Shi, Tieliu

    2011-01-01

    Protein interactions are involved in important cellular functions and biological processes that are the fundamentals of all life activities. With improvements in experimental techniques and progress in research, the overall protein interaction network frameworks of several model organisms have been created through data collection and integration. However, most of the networks processed only show simple relationships without boundary, weight or direction, which do not truly reflect the biological reality. In vivo, different types of protein interactions, such as the assembly of protein complexes or phosphorylation, often have their specific functions and qualifications. Ignorance of these features will bring much bias to the network analysis and application. Therefore, we annotate the Arabidopsis proteins in the AtPID database with further information (e.g. functional annotation, subcellular localization, tissue-specific expression, phosphorylation information, SNP phenotype and mutant phenotype, etc.) and interaction qualifications (e.g. transcriptional regulation, complex assembly, functional collaboration, etc.) via further literature text mining and integration of other resources. Meanwhile, the related information is vividly displayed to users through a comprehensive and newly developed display and analytical tools. The system allows the construction of tissue-specific interaction networks with display of canonical pathways. The latest updated AtPID database is available at http://www.megabionet.org/atpid/.

  5. Towards effective visual analytics on multiplex and multilayer networks

    DEFF Research Database (Denmark)

    Rossi, Luca; Magnani, Matteo

    2015-01-01

    In this article we discuss visualisation strategies for multiplex networks. Since Moreno’s early works on network analysis, visualisation has been one of the main ways to understand networks thanks to its ability to summarise a complex structure into a single representation highlighting multiple ...

  6. "Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process

    Energy Technology Data Exchange (ETDEWEB)

    Sanfilippo, Antonio P.; Nibbs, Faith G.

    2007-08-24

    While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.

  7. APPLICATION OF FUZZY ANALYTIC HIERARCHY PROCESS TO BUILDING RESEARCH TEAMS

    Directory of Open Access Journals (Sweden)

    Karol DĄBROWSKI

    2016-01-01

    Full Text Available Building teams has a fundamental impact for execution of research and development projects. The teams appointed for the needs of given projects are based on individuals from both inside and outside of the organization. Knowledge is not only a product available on the market but also an intangible resource affecting their internal and external processes. Thus it is vitally important for businesses and scientific research facilities to effectively manage knowledge within project teams. The article presents a proposal to use Fuzzy AHP (Analytic Hierarchy Process and ANFIS (Adaptive Neuro Fuzzy Inference System methods in working groups building for R&D projects on the basis of employees skills.

  8. H CANYON PROCESSING IN CORRELATION WITH FH ANALYTICAL LABS

    Energy Technology Data Exchange (ETDEWEB)

    Weinheimer, E.

    2012-08-06

    Management of radioactive chemical waste can be a complicated business. H Canyon and F/H Analytical Labs are two facilities present at the Savannah River Site in Aiken, SC that are at the forefront. In fact H Canyon is the only large-scale radiochemical processing facility in the United States and this processing is only enhanced by the aid given from F/H Analytical Labs. As H Canyon processes incoming materials, F/H Labs provide support through a variety of chemical analyses. Necessary checks of the chemical makeup, processing, and accountability of the samples taken from H Canyon process tanks are performed at the labs along with further checks on waste leaving the canyon after processing. Used nuclear material taken in by the canyon is actually not waste. Only a small portion of the radioactive material itself is actually consumed in nuclear reactors. As a result various radioactive elements such as Uranium, Plutonium and Neptunium are commonly found in waste and may be useful to recover. Specific processing is needed to allow for separation of these products from the waste. This is H Canyon's specialty. Furthermore, H Canyon has the capacity to initiate the process for weapons-grade nuclear material to be converted into nuclear fuel. This is one of the main campaigns being set up for the fall of 2012. Once usable material is separated and purified of impurities such as fission products, it can be converted to an oxide and ultimately turned into commercial fuel. The processing of weapons-grade material for commercial fuel is important in the necessary disposition of plutonium. Another processing campaign to start in the fall in H Canyon involves the reprocessing of used nuclear fuel for disposal in improved containment units. The importance of this campaign involves the proper disposal of nuclear waste in order to ensure the safety and well-being of future generations and the environment. As processing proceeds in the fall, H Canyon will have a substantial

  9. A Mobile Network Planning Tool Based on Data Analytics

    Directory of Open Access Journals (Sweden)

    Jessica Moysen

    2017-01-01

    Full Text Available Planning future mobile networks entails multiple challenges due to the high complexity of the network to be managed. Beyond 4G and 5G networks are expected to be characterized by a high densification of nodes and heterogeneity of layers, applications, and Radio Access Technologies (RAT. In this context, a network planning tool capable of dealing with this complexity is highly convenient. The objective is to exploit the information produced by and already available in the network to properly deploy, configure, and optimise network nodes. This work presents such a smart network planning tool that exploits Machine Learning (ML techniques. The proposed approach is able to predict the Quality of Service (QoS experienced by the users based on the measurement history of the network. We select Physical Resource Block (PRB per Megabit (Mb as our main QoS indicator to optimise, since minimizing this metric allows offering the same service to users by consuming less resources, so, being more cost-effective. Two cases of study are considered in order to evaluate the performance of the proposed scheme, one to smartly plan the small cell deployment in a dense indoor scenario and a second one to timely face a detected fault in a macrocell network.

  10. Inferring network topology via the propagation process

    CERN Document Server

    Zeng, An

    2013-01-01

    Inferring the network topology from the dynamics is a fundamental problem with wide applications in geology, biology and even counter-terrorism. Based on the propagation process, we present a simple method to uncover the network topology. The numerical simulation on artificial networks shows that our method enjoys a high accuracy in inferring the network topology. We find the infection rate in the propagation process significantly influences the accuracy, and each network is corresponding to an optimal infection rate. Moreover, the method generally works better in large networks. These finding are confirmed in both real social and nonsocial networks. Finally, the method is extended to directed networks and a similarity measure specific for directed networks is designed.

  11. Semantic Network in Information Processing for the Pork Market

    Directory of Open Access Journals (Sweden)

    J. Rydval

    2014-09-01

    Full Text Available The main aim of this paper is to capture the elements of individual information frames and their relations using semantic network; and to express the loss of information and information asymmetry in the market environment. Preferences of elements in the network are evaluated by the Analytical network process. The benefits of applying semantic networks in the market environment are in increasing consumer information and reducing information asymmetry. The use of semantic networks will be shown in the analysis of the information frames of the producer, distributor and consumer in the pork market. The consumer’s frame expresses expectations and preferences, according to which decisions are made. Producer operates with greater range of information about the product than is available to the consumer. Distributor receives information from both the producer and from the consumer, but this information is not usually fully shared to the consumers or producers. This creates information asymmetry.

  12. SensePath: Understanding the Sensemaking Process Through Analytic Provenance.

    Science.gov (United States)

    Nguyen, Phong H; Xu, Kai; Wheat, Ashley; Wong, B L William; Attfield, Simon; Fields, Bob

    2016-01-01

    Sensemaking is described as the process of comprehension, finding meaning and gaining insight from information, producing new knowledge and informing further action. Understanding the sensemaking process allows building effective visual analytics tools to make sense of large and complex datasets. Currently, it is often a manual and time-consuming undertaking to comprehend this: researchers collect observation data, transcribe screen capture videos and think-aloud recordings, identify recurring patterns, and eventually abstract the sensemaking process into a general model. In this paper, we propose a general approach to facilitate such a qualitative analysis process, and introduce a prototype, SensePath, to demonstrate the application of this approach with a focus on browser-based online sensemaking. The approach is based on a study of a number of qualitative research sessions including observations of users performing sensemaking tasks and post hoc analyses to uncover their sensemaking processes. Based on the study results and a follow-up participatory design session with HCI researchers, we decided to focus on the transcription and coding stages of thematic analysis. SensePath automatically captures user's sensemaking actions, i.e., analytic provenance, and provides multi-linked views to support their further analysis. A number of other requirements elicited from the design session are also implemented in SensePath, such as easy integration with existing qualitative analysis workflow and non-intrusive for participants. The tool was used by an experienced HCI researcher to analyze two sensemaking sessions. The researcher found the tool intuitive and considerably reduced analysis time, allowing better understanding of the sensemaking process.

  13. Facing mixed emotions: Analytic and holistic perception of facial emotion expressions engages separate brain networks.

    Science.gov (United States)

    Meaux, Emilie; Vuilleumier, Patrik

    2016-11-01

    The ability to decode facial emotions is of primary importance for human social interactions; yet, it is still debated how we analyze faces to determine their expression. Here we compared the processing of emotional face expressions through holistic integration and/or local analysis of visual features, and determined which brain systems mediate these distinct processes. Behavioral, physiological, and brain responses to happy and angry faces were assessed by presenting congruent global configurations of expressions (e.g., happy top+happy bottom), incongruent composite configurations (e.g., angry top+happy bottom), and isolated features (e.g. happy top only). Top and bottom parts were always from the same individual. Twenty-six healthy volunteers were scanned using fMRI while they classified the expression in either the top or the bottom face part but ignored information in the other non-target part. Results indicate that the recognition of happy and anger expressions is neither strictly holistic nor analytic Both routes were involved, but with a different role for analytic and holistic information depending on the emotion type, and different weights of local features between happy and anger expressions. Dissociable neural pathways were engaged depending on emotional face configurations. In particular, regions within the face processing network differed in their sensitivity to holistic expression information, which predominantly activated fusiform, inferior occipital areas and amygdala when internal features were congruent (i.e. template matching), whereas more local analysis of independent features preferentially engaged STS and prefrontal areas (IFG/OFC) in the context of full face configurations, but early visual areas and pulvinar when seen in isolated parts. Collectively, these findings suggest that facial emotion recognition recruits separate, but interactive dorsal and ventral routes within the face processing networks, whose engagement may be shaped by

  14. Multiple criteria inventory classification using fuzzy analytic hierarchy process

    Directory of Open Access Journals (Sweden)

    M. Ahsan Akhtar Hasin

    2012-01-01

    Full Text Available A systematic approach to the inventory control and classification may have a significant influence on company competitiveness. In practice, all inventories cannot be controlled with equal attention. In order to efficiently control the inventory items and to determine the suitable ordering policies for them, multi-criteria inventory classification is used. In this paper, fuzzy analytic hierarchy process for multiple criteria ABC inventory classification has been proposed. Fuzzy Analytic Hierarchy process (Fuzzy AHP is used to determine the relative weights of the attributes or criteria, and to classify inventories into different categories. To accredit the proposed model, it is implemented for the 351 raw materials of switch gear section of Energypac Engineering Limited (EEL, a large power engineering company of Bangladesh. In this approach, at first, related criteria have been selected (Unit price, last year consumption or annual demand, last use date, supplier, criticality, durability and the weights of these criteria was determined using Fuzzy AHP. Then a score to each item was assigned for each criterion as triangular fuzzy number and the final normalized weighted score of each item using fuzzy set theory is calculate. Finally, Chang’s extent analysis was used for the comparison of fuzzy numbers and the final scores are compared with each other. Then all items were classified into three classes according to their final score.

  15. A hierarchical algorithm for cyberspace situational awareness based on analytic hierarchy process

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The existing network security management systems are unable either to provide users with useful security situation and risk assessment, or to aid administrators to make right and timely decisions based on the current state of network. These disadvantages always put the whole network security management at high risk. This paper establishes a simulation environment, captures the alerts as the experimental data and adopts statistical analysis to seek the vulnerabilities of the services provided by the hosts in the network. According to the factors of the network, the paper introduces the two concepts: Situational Meta and Situational Weight to depict the total security situation. A novel hierarchical algorithm based on analytic hierarchy process (AHP) is proposed to analyze the hierarchy of network and confirm the weighting coefficients. The algorithm can be utilized for modeling security situation, and determining its mathematical expression. Coupled with the statistical results, this paper simulates the security situational trends.Finally, the analysis of the simulation results proves the algorithm efficient and applicable, and provides us with an academic foundation for the implementation in the security situation.

  16. ANALYTIC HIERARCHY PROCESS: AN APPLICATION IN GREEN BUILDING MARKET RESEARCH

    Directory of Open Access Journals (Sweden)

    Sharmin Attaran

    2013-01-01

    Full Text Available Sustainability has become a necessity in the building industry. In recent years, as the general public is more informed and aware of sustainability related issues, they are becoming major players in the decision making process regarding their built environment. However, there are still challenges with how sustainability is communicated to occupants and owners of buildings. As the global economic crisis is continuing, the marketing of green buildings needs to be refined to communicate the lifetime benefits of sustainability. One of the ways to develop effective marketing strategies, is to understand what the occupants value the most among many aspects of green buildings thus develop focused marketing solutions. Authors present a conceptual methodology using Analytic Hierarchy Process toward identifying consumer ranking and weights of a major green building rating system’s categories. Authors use sample non-representative data to illustrate the proposed methodology, while sharing preliminary qualitative data from the research in progress.

  17. Supplier Selection in Dynamic Environment using Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Prince Agarwal

    2014-08-01

    Full Text Available In today’s highly competitive business environment, the rapidly changing customer demands and with the advent of enterprise wide information systems, the managers are bound to think beyond the conventional business processes and devise new ways to squeeze out costs and improve the performance without compromising on the quality at the same time. Supplier evaluation and selection is one such area which determines the success of any manufacturing firm. Supplier selection is the problem wherein the company decides which vendor to select to have that strategic and operational advantage of meeting the customers’ varying demands and fight the fierce competition. This paper presents a simple model based on Analytic Hierarchy Process (AHP to help decision makers in supplier evaluation and selection, taking into account the firm’s requirements. The article is intended to help new scholars and researchers understand the AHP model and see different facets in first sight.

  18. Selection of Fuel by Using Analytical Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Asilata M. Damle,

    2015-04-01

    Full Text Available Selection of fuel is a very important and critical decision one has to make. Various criteria are to be considered while selecting a fuel. Some of important criteria are Fuel Economy, Availability of fuel, Pollution from vehicle, Maintenance of the vehicle. Selection of best fuel is a complex situation. It needs a multi-criteria analysis. Earlier, the solution to the problem were found by applying classical numerical methods which took into account only technical and economic merits of the various alternatives. By applying multi-criteria tools, it is possible to obtain more realistic results. This paper gives a systematic analysis for selection of fuel by using Analytical Hierarchy Process (AHP. This is a multi-criteria decision making process. By using AHP we can select the fuel by comparing various factors in a mathematical model. This is a scientific method to find out the best fuel by making pairwise comparisons.

  19. Model and Analytic Processes for Export License Assessments

    Energy Technology Data Exchange (ETDEWEB)

    Thompson, Sandra E.; Whitney, Paul D.; Weimar, Mark R.; Wood, Thomas W.; Daly, Don S.; Brothers, Alan J.; Sanfilippo, Antonio P.; Cook, Diane; Holder, Larry

    2011-09-29

    This paper represents the Department of Energy Office of Nonproliferation Research and Development (NA-22) Simulations, Algorithms and Modeling (SAM) Program's first effort to identify and frame analytical methods and tools to aid export control professionals in effectively predicting proliferation intent; a complex, multi-step and multi-agency process. The report focuses on analytical modeling methodologies that alone, or combined, may improve the proliferation export control license approval process. It is a follow-up to an earlier paper describing information sources and environments related to international nuclear technology transfer. This report describes the decision criteria used to evaluate modeling techniques and tools to determine which approaches will be investigated during the final 2 years of the project. The report also details the motivation for why new modeling techniques and tools are needed. The analytical modeling methodologies will enable analysts to evaluate the information environment for relevance to detecting proliferation intent, with specific focus on assessing risks associated with transferring dual-use technologies. Dual-use technologies can be used in both weapons and commercial enterprises. A decision-framework was developed to evaluate which of the different analytical modeling methodologies would be most appropriate conditional on the uniqueness of the approach, data availability, laboratory capabilities, relevance to NA-22 and Office of Arms Control and Nonproliferation (NA-24) research needs and the impact if successful. Modeling methodologies were divided into whether they could help micro-level assessments (e.g., help improve individual license assessments) or macro-level assessment. Macro-level assessment focuses on suppliers, technology, consumers, economies, and proliferation context. Macro-level assessment technologies scored higher in the area of uniqueness because less work has been done at the macro level. An

  20. Analytic solutions for links and triangles distributions in finite Barabási-Albert networks

    Science.gov (United States)

    Ferreira, Ricardo M.; de Almeida, Rita M. C.; Brunnet, Leonardo G.

    2017-01-01

    Barabási-Albert model describes many different natural networks, often yielding sensible explanations to the subjacent dynamics. However, finite size effects may prevent from discerning among different underlying physical mechanisms and from determining whether a particular finite system is driven by Barabási-Albert dynamics. Here we propose master equations for the evolution of the degrees, links and triangles distributions, solve them both analytically and by numerical iteration, and compare with numerical simulations. The analytic solutions for all these distributions predict the network evolution for systems as small as 100 nodes. The analytic method we developed is applicable for other classes of networks, representing a powerful tool to investigate the evolution of natural networks.

  1. Meta-analytically informed network analysis of resting state FMRI reveals hyperconnectivity in an introspective socio-affective network in depression.

    Directory of Open Access Journals (Sweden)

    Leonhard Schilbach

    Full Text Available Alterations of social cognition and dysfunctional interpersonal expectations are thought to play an important role in the etiology of depression and have, thus, become a key target of psychotherapeutic interventions. The underlying neurobiology, however, remains elusive. Based upon the idea of a close link between affective and introspective processes relevant for social interactions and alterations thereof in states of depression, we used a meta-analytically informed network analysis to investigate resting-state functional connectivity in an introspective socio-affective (ISA network in individuals with and without depression. Results of our analysis demonstrate significant differences between the groups with depressed individuals showing hyperconnectivity of the ISA network. These findings demonstrate that neurofunctional alterations exist in individuals with depression in a neural network relevant for introspection and socio-affective processing, which may contribute to the interpersonal difficulties that are linked to depressive symptomatology.

  2. Interactive network analytical tool for instantaneous bespoke interrogation of food safety notifications.

    Directory of Open Access Journals (Sweden)

    Tamás Nepusz

    Full Text Available BACKGROUND: The globalization of food supply necessitates continued advances in regulatory control measures to ensure that citizens enjoy safe and adequate nutrition. The aim of this study was to extend previous reports on network analysis relating to food notifications by including an optional filter by type of notification and in cases of contamination, by type of contaminant in the notified foodstuff. METHODOLOGY/PRINCIPAL FINDINGS: A filter function has been applied to enable processing of selected notifications by contaminant or type of notification to i capture complexity, ii analyze trends, and iii identify patterns of reporting activities between countries. The program rapidly assesses nations' roles as transgressor and/or detector for each category of contaminant and for the key class of border rejection. In the open access demonstration version, the majority of notifications in the Rapid Alert System for Food and Feed were categorized by contaminant type as mycotoxin (50.4%, heavy metals (10.9% or bacteria (20.3%. Examples are given demonstrating how network analytical approaches complement, and in some cases supersede, descriptive statistics such as frequency counts, which may give limited or potentially misleading information. One key feature is that network analysis takes the relationship between transgressor and detector countries, along with number of reports and impact simultaneously into consideration. Furhermore, the indices that compliment the network maps and reflect each country's transgressor and detector activities allow comparisons to be made between (transgressing vs. detecting as well as within (e.g. transgressing activities. CONCLUSIONS/SIGNIFICANCE: This further development of the network analysis approach to food safety contributes to a better understanding of the complexity of the effort ensuring food is safe for consumption in the European Union. The unique patterns of the interplay between detectors and

  3. Evaluation of Analytical Modeling Functions for the Phonation Onset Process.

    Science.gov (United States)

    Petermann, Simon; Kniesburges, Stefan; Ziethe, Anke; Schützenberger, Anne; Döllinger, Michael

    2016-01-01

    The human voice originates from oscillations of the vocal folds in the larynx. The duration of the voice onset (VO), called the voice onset time (VOT), is currently under investigation as a clinical indicator for correct laryngeal functionality. Different analytical approaches for computing the VOT based on endoscopic imaging were compared to determine the most reliable method to quantify automatically the transient vocal fold oscillations during VO. Transnasal endoscopic imaging in combination with a high-speed camera (8000 fps) was applied to visualize the phonation onset process. Two different definitions of VO interval were investigated. Six analytical functions were tested that approximate the envelope of the filtered or unfiltered glottal area waveform (GAW) during phonation onset. A total of 126 recordings from nine healthy males and 210 recordings from 15 healthy females were evaluated. Three criteria were analyzed to determine the most appropriate computation approach: (1) reliability of the fit function for a correct approximation of VO; (2) consistency represented by the standard deviation of VOT; and (3) accuracy of the approximation of VO. The results suggest the computation of VOT by a fourth-order polynomial approximation in the interval between 32.2 and 67.8% of the saturation amplitude of the filtered GAW.

  4. Evaluation of Analytical Modeling Functions for the Phonation Onset Process

    Directory of Open Access Journals (Sweden)

    Simon Petermann

    2016-01-01

    Full Text Available The human voice originates from oscillations of the vocal folds in the larynx. The duration of the voice onset (VO, called the voice onset time (VOT, is currently under investigation as a clinical indicator for correct laryngeal functionality. Different analytical approaches for computing the VOT based on endoscopic imaging were compared to determine the most reliable method to quantify automatically the transient vocal fold oscillations during VO. Transnasal endoscopic imaging in combination with a high-speed camera (8000 fps was applied to visualize the phonation onset process. Two different definitions of VO interval were investigated. Six analytical functions were tested that approximate the envelope of the filtered or unfiltered glottal area waveform (GAW during phonation onset. A total of 126 recordings from nine healthy males and 210 recordings from 15 healthy females were evaluated. Three criteria were analyzed to determine the most appropriate computation approach: (1 reliability of the fit function for a correct approximation of VO; (2 consistency represented by the standard deviation of VOT; and (3 accuracy of the approximation of VO. The results suggest the computation of VOT by a fourth-order polynomial approximation in the interval between 32.2 and 67.8% of the saturation amplitude of the filtered GAW.

  5. Mapping social networks in software process improvement

    DEFF Research Database (Denmark)

    Tjørnehøj, Gitte; Nielsen, Peter Axel

    2005-01-01

    to map social networks and suggest how it can be used in software process improvement. We applied the mapping approach in a small software company to support the realization of new ways of improving software processes. The mapping approach was found useful in improving social networks, and thus furthers...

  6. Designing Robust Process Analytical Technology (PAT) Systems for Crystallization Processes: A Potassium Dichromate Crystallization Case Study

    DEFF Research Database (Denmark)

    Abdul Samad, Noor Asma Fazli Bin; Sin, Gürkan

    2013-01-01

    The objective of this study is to test and validate a Process Analytical Technology (PAT) system design on a potassium dichromate crystallization process in the presence of input uncertainties using uncertainty and sensitivity analysis. To this end a systematic framework for managing uncertaintie...

  7. Hybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical Models

    Directory of Open Access Journals (Sweden)

    Abdelkrim Moussaoui

    2006-01-01

    Full Text Available The authors discuss the combination of an Artificial Neural Network (ANN with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the real rolling mill data. Completely independent set of real rolling data were used to evaluate the capacity of the fitted ANN model to predict the unseen regions of data. As a result, test rolls obtained by the suggested hybrid model have shown high prediction quality comparatively to the usual empirical prediction models.

  8. Aplikasi Analytical Hierarchy Process (AHP pada Pemilihan Software Manajemen Proyek

    Directory of Open Access Journals (Sweden)

    Siti Komsiyah

    2014-12-01

    Full Text Available The problem with many alternative decisions in the areas of management and administration commonly referred to as multi-attribute decision problems. For example, the decision problem with many variables so that the target decision can not always be determined easily. Well-known method of approach, to overcome this kind of problem is called the Analytical Hierarchy Process (AHP. AHP technique is given by arranging alternative levels of decision, so as to provide a structured quantitative description. Application of multi-attribute types of problems such as problems in the selection of software, car, project proposal, the university, the best employees, and so forth. In this paper, the approach developed using the AHP in software selection project management.

  9. Optimizing an immersion ESL curriculum using analytic hierarchy process.

    Science.gov (United States)

    Tang, Hui-Wen Vivian

    2011-11-01

    The main purpose of this study is to fill a substantial knowledge gap regarding reaching a uniform group decision in English curriculum design and planning. A comprehensive content-based course criterion model extracted from existing literature and expert opinions was developed. Analytical hierarchy process (AHP) was used to identify the relative importance of course criteria for the purpose of tailoring an optimal one-week immersion English as a second language (ESL) curriculum for elementary school students in a suburban county of Taiwan. The hierarchy model and AHP analysis utilized in the present study will be useful for resolving several important multi-criteria decision-making issues in planning and evaluating ESL programs. This study also offers valuable insights and provides a basis for further research in customizing ESL curriculum models for different student populations with distinct learning needs, goals, and socioeconomic backgrounds.

  10. Evaluating supplier quality performance using fuzzy analytical hierarchy process

    Science.gov (United States)

    Ahmad, Nazihah; Kasim, Maznah Mat; Rajoo, Shanmugam Sundram Kalimuthu

    2014-12-01

    Evaluating supplier quality performance is vital in ensuring continuous supply chain improvement, reducing the operational costs and risks towards meeting customer's expectation. This paper aims to illustrate an application of Fuzzy Analytical Hierarchy Process to prioritize the evaluation criteria in a context of automotive manufacturing in Malaysia. Five main criteria were identified which were quality, cost, delivery, customer serviceand technology support. These criteria had been arranged into hierarchical structure and evaluated by an expert. The relative importance of each criteria was determined by using linguistic variables which were represented as triangular fuzzy numbers. The Center of Gravity defuzzification method was used to convert the fuzzy evaluations into their corresponding crisps values. Such fuzzy evaluation can be used as a systematic tool to overcome the uncertainty evaluation of suppliers' performance which usually associated with human being subjective judgments.

  11. A Task Analytic Process to Define Future Concepts in Aviation

    Science.gov (United States)

    Gore, Brian Francis; Wolter, Cynthia A.

    2014-01-01

    A necessary step when developing next generation systems is to understand the tasks that operators will perform. One NextGen concept under evaluation termed Single Pilot Operations (SPO) is designed to improve the efficiency of airline operations. One SPO concept includes a Pilot on Board (PoB), a Ground Station Operator (GSO), and automation. A number of procedural changes are likely to result when such changes in roles and responsibilities are undertaken. Automation is expected to relieve the PoB and GSO of some tasks (e.g. radio frequency changes, loading expected arrival information). A major difference in the SPO environment is the shift to communication-cued crosschecks (verbal / automated) rather than movement-cued crosschecks that occur in a shared cockpit. The current article highlights a task analytic process of the roles and responsibilities between a PoB, an approach-phase GSO, and automation.

  12. An Application of Fuzzy Analytic Hierarchy Process Evaluation

    Directory of Open Access Journals (Sweden)

    Yan Chen

    2013-07-01

    Full Text Available Unlike previous studies on political risk and Outward Foreign Direct Investment (ODI that used macro-level ODI data to make analysis, this paper uses of firm-level data to study the relationship between political risk and ODI from institutional distance perspective. This paper builds a relative political risk evaluation system between home country (China and US and host country (Russia by Fuzzy Analytic Hierarchy Process (FAHP. We find that relative political risk strengthens China’s ability of investing in Russia, and weakens US’s. This paper argues that firms that desire investing in high political risk countries should cultivate their relative political risk advantages for their overseas investments.

  13. Evaluation and Improvement of Procurement Process with Data Analytics

    Directory of Open Access Journals (Sweden)

    Melvin Tan H.C.

    2015-08-01

    Full Text Available Analytics can be applied in procurement to benefit organizations beyond just prevention and detection of fraud. This study aims to demonstrate how advanced data mining techniques such as text mining and cluster analysis can be used to improve visibility of procurement patterns and provide decision-makers with insight to develop more efficient sourcing strategies, in terms of cost and effort. A case study of an organization’s effort to improve its procurement process is presented in this paper. The findings from this study suggest that opportunities exist for organizations to aggregate common goods and services among the purchases made under and across different prescribed procurement approaches. It also suggests that these opportunities are more prevalent in purchases made by individual project teams rather than across multiple project teams.

  14. A network analytical approach to the study of labour market mobility

    DEFF Research Database (Denmark)

    Toubøl, Jonas; Larsen, Anton Grau; Jensen, Carsten Strøby

    The aim of this paper is to present a new network analytical method for analysis of social mobility between categories like occupations or industries. The method consists of two core components; the algorithm MONECA (Mobility Network Clustering Algorithm), and the intensity measure of Relative Ri...... of the typical theory driven definition of the labour market segments, the use of social network analysis enable a data driven definition of the segments based on the direct observation of mobility between job-positions, which reveals a number of new findings.......The aim of this paper is to present a new network analytical method for analysis of social mobility between categories like occupations or industries. The method consists of two core components; the algorithm MONECA (Mobility Network Clustering Algorithm), and the intensity measure of Relative Risk...

  15. An Analytical Model for Torus Networks in the Presence of Batch Message Arrivals with Hot-spot Destinations

    Institute of Scientific and Technical Information of China (English)

    Yulei Wu; Geyong Min; Mohamed Ould-Khaoua; Hao Yin

    2009-01-01

    Interconnection networks are hardware fabrics supporting communications between individual processors in multicomputers.The low-dimensional k-ary n-cubes (or torus) with adaptive wormhole switching have attracted significant research efforts to construct high-performance interconnection networks in contemporary multi-computers.The arrival process and destination distribution of messages have great effects on network performance.With the aim of capturing the characteristics of the realistic traffic pattern and obtaining a deep understanding of the performance behaviour of interconnection networks,this paper presents an analytical model to investigate the message latency in adaptive-routed wormhole-switched torus networks where there exists hot-spot nodes and the message arrivals follow a batch arrival process.Each generated message has a given probability to be directed to the hot-spot node.The average degree of virtual channel multiplexing is computed by the GE/G/1/V queueing system with finite buffer capacity.We compare analytical results of message latency with those obtained through the simulation experiments in order to validate the accuracy of the derived model.

  16. SEMANTIC NETWORKS: THEORETICAL, TECHNICAL, METHODOLOGIC AND ANALYTICAL ASPECTS

    Directory of Open Access Journals (Sweden)

    José Ángel Vera Noriega

    2005-09-01

    Full Text Available This work is a review of the methodological procedures and cares for the measurement of the connotative meanings which will be used in the elaboration of instruments with ethnic validity. Beginning from the techniques originally proposed by Figueroa et al. (1981 and later described by Lagunes (1993, the intention is to offer a didactic panorama to carry out the measurement by semantic networks introducing some recommendations derived from the studies performed with this method.

  17. Controlled English to facilitate human/machine analytical processing

    Science.gov (United States)

    Braines, Dave; Mott, David; Laws, Simon; de Mel, Geeth; Pham, Tien

    2013-06-01

    Controlled English is a human-readable information representation format that is implemented using a restricted subset of the English language, but which is unambiguous and directly accessible by simple machine processes. We have been researching the capabilities of CE in a number of contexts, and exploring the degree to which a flexible and more human-friendly information representation format could aid the intelligence analyst in a multi-agent collaborative operational environment; especially in cases where the agents are a mixture of other human users and machine processes aimed at assisting the human users. CE itself is built upon a formal logic basis, but allows users to easily specify models for a domain of interest in a human-friendly language. In our research we have been developing an experimental component known as the "CE Store" in which CE information can be quickly and flexibly processed and shared between human and machine agents. The CE Store environment contains a number of specialized machine agents for common processing tasks and also supports execution of logical inference rules that can be defined in the same CE language. This paper outlines the basic architecture of this approach, discusses some of the example machine agents that have been developed, and provides some typical examples of the CE language and the way in which it has been used to support complex analytical tasks on synthetic data sources. We highlight the fusion of human and machine processing supported through the use of the CE language and CE Store environment, and show this environment with examples of highly dynamic extensions to the model(s) and integration between different user-defined models in a collaborative setting.

  18. Mapping disaster vulnerability in India using analytical hierarchy process

    Directory of Open Access Journals (Sweden)

    Anusheema Chakraborty

    2016-01-01

    Full Text Available Disasters are the coincidences between hazardous events, elements at risk, and conditions of vulnerability. Vulnerability integrates social and environmental systems to reduce the intensity and frequency of these risks. By categorizing regions according to their level of vulnerability, one can examine and assess the possible impacts of developmental and environmental degradation processes. This study is an attempt to map the sub-national areas (districts in India that are vulnerable to natural and climate-induced disasters. The assessment is considered under the framework of Intergovernmental Panel on Climate Change definition of vulnerability. Using analytical hierarchy process as a multi-criteria decision-mapping method, vulnerability is measured in terms of exposure, sensitivity, and adaptive capacity. Based on this mapping assessment, districts in the state of Arunachal Pradesh, Assam, Bihar, Himachal Pradesh, Jharkhand, Manipur, Meghalaya, Mizoram, Uttar Pradesh, Uttarakhand, and West Bengal are the most vulnerable regions; while districts in the state of Punjab, Haryana, Gujarat, Tamil Nadu, Maharashtra, Goa, Andhra Pradesh, Kerala, and Karnataka are among the least vulnerable regions. The results of this study can serve as the basis for targeting prioritization efforts, emergency response measures, and policy interventions at district level for mitigating disaster vulnerability in the country.

  19. USING ANALYTIC HIERARCHY PROCESS (AHP METHOD IN RURAL DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Tülay Cengiz

    2003-04-01

    Full Text Available Rural development is a body of economical and social policies towards improving living conditions in rural areas through enabling rural population to utilize economical, social, cultural and technological blessing of city life in place, without migrating. As it is understood from this description, rural development is a very broad concept. Therefore, in development efforts problem should be stated clearly, analyzed and many criterias should be evaluated by experts. Analytic Hierarchy Process (AHP method can be utilized at there stages of development efforts. AHP methods is one of multi-criteria decision method. After degrading a problem in smaller pieces, relative importance and level of importance of two compared elements are determined. It allows evaluation of quality and quantity factors. At the same time, it permits utilization of ideas of many experts and use them in decision process. Because mentioned features of AHP method, it could be used in rural development works. In this article, cultural factors, one of the important components of rural development is often ignored in many studies, were evaluated as an example. As a result of these applications and evaluations, it is concluded that AHP method could be helpful in rural development efforts.

  20. Application of a high-throughput process analytical technology metabolomics pipeline to Port wine forced ageing process.

    Science.gov (United States)

    Castro, Cristiana C; Martins, R C; Teixeira, José A; Silva Ferreira, António C

    2014-01-15

    Metabolomics aims at gathering the maximum amount of metabolic information for a total interpretation of biological systems. A process analytical technology pipeline, combining gas chromatography-mass spectrometry data preprocessing with multivariate analysis, was applied to a Port wine "forced ageing" process under different oxygen saturation regimes at 60°C. It was found that extreme "forced ageing" conditions promote the occurrence of undesirable chemical reactions by production of dioxane and dioxolane isomers, furfural and 5-hydroxymethylfurfural, which affect the quality of the final product through the degradation of the wine aromatic profile, colour and taste. Also, were found high kinetical correlations between these key metabolites with benzaldehyde, sotolon, and many other metabolites that contribute for the final aromatic profile of the Port wine. The use of the kinetical correlations in time-dependent processes as wine ageing can further contribute to biological or chemical systems monitoring, new biomarkers discovery and metabolic network investigations.

  1. ACCESS SELECTION ALGORITHM FOR HETEROGENEOUS WIRELESS NETWORKS BASED ON ROUGH SET AND ANALYTIC HIERARCHY PROCESS%基于粗糙集理论和层次分析法的异构无线网络接入选择算法

    Institute of Scientific and Technical Information of China (English)

    盛洁; 祁兵; 杨筝; 唐良瑞

    2013-01-01

    The load balancing-based access selection algorithms in heterogeneous wireless networks fail to take full account of the decision factors and to reasonably reflect the comprehensive performance level of the candidate networks, in light of these problems, in this paper we propose an access selection algorithm for heterogeneous wireless network by the adoption of multi-attribute decision making theory. On the basis of satisfying the multi-attribute judgment, the rough set theory and analytical hierarchy process are respectively used in the algorithm to determine the subjective and objective weights of access judgement indexes. Meanwhile, the least square method is employed to make the compromised selection on either the subjective or objective weights. The comprehensive performance level of networks and the user preferences are both considered in judging process, which improves the accuracy and reasonability of the network access selection. Simulation results show that the proposed algorithm performs much better than the reference algorithms with respect to the system blocking probability as well as the load balance between the heterogeneous networks.%针对异构无线网络环境下的基于负载均衡的接入选择算法未能全面考虑判决因素以及合理反映候选网络综合性能水平的问题,利用多属性决策理论提出一种异构无线网络接入选择算法.该算法在满足多属性判决的基础上,采用粗糙集理论和层次分析法确定接入判决指标的主观和客观权重,并通过最小二乘法对主客观权重进行折中选择,判决过程兼顾了网络的综合性能水平和用户的喜好,提高了网络接入选择的准确性和合理性.仿真结果表明,该算法相对于参考算法有效降低了系统阻塞率,并有利于异构网络之间的负载均衡.

  2. Optimizing RDF Data Cubes for Efficient Processing of Analytical Queries

    DEFF Research Database (Denmark)

    Jakobsen, Kim Ahlstrøm; Andersen, Alex B.; Hose, Katja

    2015-01-01

    data warehouses and data cubes. Today, external data sources are essential for analytics and, as the Semantic Web gains popularity, more and more external sources are available in native RDF. With the recent SPARQL 1.1 standard, performing analytical queries over RDF data sources has finally become......In today’s data-driven world, analytical querying, typically based on the data cube concept, is the cornerstone of answering important business questions and making data-driven decisions. Traditionally, the underlying analytical data was mostly internal to the organization and stored in relational...

  3. An Analytical Framework for Performance of Different Fault Restoration Policies with QoS Constraints in MPLS Networks

    Institute of Scientific and Technical Information of China (English)

    Xian-Si Tan; Zong-Kai Yang; Liang Ou; Jing-Wen Chen; Ya-Jie Ma

    2004-01-01

    An analytical framework for the performance of different protection switching restoration mechanisms with different protection policies in Multi-Protocol Label Switching (MPLS) networks is developed, where the protection policy may be 1 + 1, 1:1, n:l or n:m. As a general rule, it aims at the MPLS networks with the protection paths created in advance of fault occurrence without resources reserved, and it reroutes the protected traffic in the event of link or router failures while trying to maintain quality of service (QoS) requirements. Based on the proposed protocol for processing faults, an analytical model and an evaluating model are created, and the benefits and penalties of different mechanisms with different protection policies are evaluated. In particular, an improvement on the proposed protocol is presented to overcome the drawbacks of n:m protection policy in which m > 1 and n> 1.

  4. The European Network of Analytical and Experimental Laboratories for Geosciences

    Science.gov (United States)

    Freda, Carmela; Funiciello, Francesca; Meredith, Phil; Sagnotti, Leonardo; Scarlato, Piergiorgio; Troll, Valentin R.; Willingshofer, Ernst

    2013-04-01

    Integrating Earth Sciences infrastructures in Europe is the mission of the European Plate Observing System (EPOS).The integration of European analytical, experimental, and analogue laboratories plays a key role in this context and is the task of the EPOS Working Group 6 (WG6). Despite the presence in Europe of high performance infrastructures dedicated to geosciences, there is still limited collaboration in sharing facilities and best practices. The EPOS WG6 aims to overcome this limitation by pushing towards national and trans-national coordination, efficient use of current laboratory infrastructures, and future aggregation of facilities not yet included. This will be attained through the creation of common access and interoperability policies to foster and simplify personnel mobility. The EPOS ambition is to orchestrate European laboratory infrastructures with diverse, complementary tasks and competences into a single, but geographically distributed, infrastructure for rock physics, palaeomagnetism, analytical and experimental petrology and volcanology, and tectonic modeling. The WG6 is presently organizing its thematic core services within the EPOS distributed research infrastructure with the goal of joining the other EPOS communities (geologists, seismologists, volcanologists, etc...) and stakeholders (engineers, risk managers and other geosciences investigators) to: 1) develop tools and services to enhance visitor programs that will mutually benefit visitors and hosts (transnational access); 2) improve support and training activities to make facilities equally accessible to students, young researchers, and experienced users (training and dissemination); 3) collaborate in sharing technological and scientific know-how (transfer of knowledge); 4) optimize interoperability of distributed instrumentation by standardizing data collection, archive, and quality control standards (data preservation and interoperability); 5) implement a unified e-Infrastructure for data

  5. Consistent analytic approach to the efficiency of collisional Penrose process

    CERN Document Server

    Harada, Tomohiro; Miyamoto, Umpei

    2016-01-01

    We propose a consistent analytic approach to the efficiency of collisional Penrose process in the vicinity of a maximally rotating Kerr black hole. We focus on a collision with arbitrarily high centre-of-mass energy, which occurs if either of the colliding particles has its angular momentum finetuned to the critical value to enter the horizon. We show that if the finetuned particle is ingoing on the collision, the upper limit of the efficiency is $(2+\\sqrt{3})(2-\\sqrt{2})\\simeq 2.186$, while if the finetuned particle is bounced back before the collision, the upper limit is $(2+\\sqrt{3})^{2}\\simeq 13.93$. Despite earlier claims, the former can be attained for inverse Compton scattering if the finetuned particle is massive and starts at rest at infinity, while the latter for various particle reactions, such as inverse Compton scattering and pair annihilation, if the finetuned particle is either massless or highly relativistic at infinity. We discuss difference between the present and earlier analyses.

  6. Consistent analytic approach to the efficiency of collisional Penrose process

    Science.gov (United States)

    Harada, Tomohiro; Ogasawara, Kota; Miyamoto, Umpei

    2016-07-01

    We propose a consistent analytic approach to the efficiency of collisional Penrose process in the vicinity of a maximally rotating Kerr black hole. We focus on a collision with arbitrarily high center-of-mass energy, which occurs if either of the colliding particles has its angular momentum fine-tuned to the critical value to enter the horizon. We show that if the fine-tuned particle is ingoing on the collision, the upper limit of the efficiency is (2 +√{3 })(2 -√{2 })≃2.186 , while if the fine-tuned particle is bounced back before the collision, the upper limit is (2 +√{3 })2≃13.93 . Despite earlier claims, the former can be attained for inverse Compton scattering if the fine-tuned particle is massive and starts at rest at infinity, while the latter can be attained for various particle reactions, such as inverse Compton scattering and pair annihilation, if the fine-tuned particle is either massless or highly relativistic at infinity. We discuss the difference between the present and earlier analyses.

  7. Comparative Analysis between Fuzzy and Traditional Analytical Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Mulubrhan Freselam

    2014-07-01

    Full Text Available Analytic Hierarchy Process (AHP is one of the techniques commonly used for prioritizing different alternatives, by using complex criteria. In real applications, conventional AHP assumes the expert judgment as it is exact and use crisp number leading to inconsideration of the uncertainty that came from linguistic variable. Fuzzy logic deals with situations which are vague or unwell defined and gives a quantify value. In this study a comparison is made between traditional AHP and fuzzy AHP by taking a case of selecting an effective oil refinery. The selection is conducted using system effectiveness as a criterion. The two approaches have been compared on the same hierarchy structure and criteria set and the result show that in both case dual drum scheme (DDS has the highest priority but different value that is 0.51 and 0.36 for AHP and FAHP respectively which shows that if the expert opinion is certain AHP should be used if not FAHP should be preferred

  8. Evaluating supplier quality performance using analytical hierarchy process

    Science.gov (United States)

    Kalimuthu Rajoo, Shanmugam Sundram; Kasim, Maznah Mat; Ahmad, Nazihah

    2013-09-01

    This paper elaborates the importance of evaluating supplier quality performance to an organization. Supplier quality performance evaluation reflects the actual performance of the supplier exhibited at customer's end. It is critical in enabling the organization to determine the area of improvement and thereafter works with supplier to close the gaps. Success of the customer partly depends on supplier's quality performance. Key criteria as quality, cost, delivery, technology support and customer service are categorized as main factors in contributing to supplier's quality performance. 18 suppliers' who were manufacturing automotive application parts evaluated in year 2010 using weight point system. There were few suppliers with common rating which led to common ranking observed by few suppliers'. Analytical Hierarchy Process (AHP), a user friendly decision making tool for complex and multi criteria problems was used to evaluate the supplier's quality performance challenging the weight point system that was used for 18 suppliers'. The consistency ratio was checked for criteria and sub-criteria. Final results of AHP obtained with no overlap ratings, therefore yielded a better decision making methodology as compared to weight point rating system.

  9. Selection of Vendor Based on Intuitionistic Fuzzy Analytical Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Prabjot Kaur

    2014-01-01

    Full Text Available Business environment is characterized by greater domestic and international competitive position in the global market. Vendors play a key role in achieving the so-called corporate competition. It is not easy however to identify good vendors because evaluation is based on multiple criteria. In practice, for VSP most of the input information about the criteria is not known precisely. Intuitionistic fuzzy set is an extension of the classical fuzzy set theory (FST, which is a suitable way to deal with impreciseness. In other words, the application of intuitionistic fuzzy sets instead of fuzzy sets means the introduction of another degree of freedom called nonmembership function into the set description. In this paper, we proposed a triangular intuitionistic fuzzy number based approach for the vendor selection problem using analytical hierarchy process. The crisp data of the vendors is represented in the form of triangular intuitionistic fuzzy numbers. By applying AHP which involves decomposition, pairwise comparison, and deriving priorities for the various levels of the hierarchy, an overall crisp priority is obtained for ranking the best vendor. A numerical example illustrates our method. Lastly a sensitivity analysis is performed to find the most critical criterion on the basis of which vendor is selected.

  10. Model choice considerations and information integration using analytical hierarchy process

    Energy Technology Data Exchange (ETDEWEB)

    Langenbrunner, James R [Los Alamos National Laboratory; Hemez, Francois M [Los Alamos National Laboratory; Booker, Jane M [BOOKER SCIENTIFIC; Ross, Timothy J. [UNM

    2010-10-15

    Using the theory of information-gap for decision-making under severe uncertainty, it has been shown that model output compared to experimental data contains irrevocable trade-offs between fidelity-to-data, robustness-to-uncertainty and confidence-in-prediction. We illustrate a strategy for information integration by gathering and aggregating all available data, knowledge, theory, experience, similar applications. Such integration of information becomes important when the physics is difficult to model, when observational data are sparse or difficult to measure, or both. To aggregate the available information, we take an inference perspective. Models are not rejected, nor wasted, but can be integrated into a final result. We show an example of information integration using Saaty's Analytic Hierarchy Process (AHP), integrating theory, simulation output and experimental data. We used expert elicitation to determine weights for two models and two experimental data sets, by forming pair-wise comparisons between model output and experimental data. In this way we transform epistemic and/or statistical strength from one field of study into another branch of physical application. The price to pay for utilizing all available knowledge is that inferences drawn for the integrated information must be accounted for and the costs can be considerable. Focusing on inferences and inference uncertainty (IU) is one way to understand complex information.

  11. Sensor Network Design for Nonlinear Processes

    Institute of Scientific and Technical Information of China (English)

    李博; 陈丙珍

    2003-01-01

    This paper presents a method to design a cost-optimal nonredundant sensor network to observe all variables in a general nonlinear process. A mixed integer linear programming model was used to minimize the cost with data classification to check the observability of all unmeasured variables. This work is a starting point for designing sensor networks for general nonlinear processes based on various criteria, such as reliability and accuracy.

  12. 基于层次分析法的西安市网络舆论引导路径探究%Based on the Analytic Hierarchy Process (AHP) of Xi’an Network Path of Public Opinion to Guide Research

    Institute of Scientific and Technical Information of China (English)

    田启燕

    2014-01-01

    本研究基于西安市网络舆论引导路径状况的调查问卷结果,应用层次分析法对当前西安市网络舆论引导路径状况进行评价分析,从而为构建政府网站、门户网站、政务微博、网络论坛、传统媒体共同支撑的西安市网络舆论引导路径提供支持。%This study based on Xi’an internet public opinion guide path condition questionnaire result, evaluates the current Xi’an network public opinion guide path condition applied Analytic Hierarchy Process (AHP),to provide support for Xi’an network public opinion guide path composed of government website, introductive website, e-government twitter,internet forum and traditional media.

  13. Explicit solutions to analytical models of cross-layer protocol optimization in wireless sensor networks

    Science.gov (United States)

    Hortos, William S.

    2009-05-01

    The work is based on the interactions among the nodes of a wireless sensor network (WSN) to cooperatively process data from multiple sensors. Quality-of-service (QoS) metrics are associated with the quality of fused information: throughput, delay, packet error rate, etc. A multivariate point process (MVPP) model of discrete random events in WSNs establishes stochastic characteristics of optimal cross-layer protocols. In previous work by the author, discreteevent, cross-layer interactions in the MANET protocol are modeled in very general analytical terms with a set of concatenated design parameters and associated resource levels by multivariate point processes (MVPPs). Characterization of the "best" cross-layer designs for the MANET is formulated by applying the general theory of martingale representations to controlled MVPPs. Performance is described in terms of concatenated protocol parameters and controlled through conditional rates of the MVPPs. Assumptions on WSN characteristics simplify the dynamic programming conditions to yield mathematically tractable descriptions for the optimal routing protocols. Modeling limitations on the determination of closed-form solutions versus iterative explicit solutions for ad hoc WSN controls are presented.

  14. Determinants of Customers` Churn Decision in the Nigeria Telecommunication Industry: An Analytic Hierarchy Process Approach

    Directory of Open Access Journals (Sweden)

    Sulaimon Olanrewaju Adebiyi

    2015-10-01

    Full Text Available This paper describes the application of Analytic Hierarchy Process (AHP for unraveling customers’ motivation for churn of telecommunication network in Nigeria. By identifying, modeling and measuring of customers` churn motivations across four mobile telecommunication service providers in Nigeria. AHP was used to design a hierarchical model of seven criteria for customers` churning of network and investigates the relative priorities of the criteria through a pairwise comparison. The questionnaire were administered through convenient sampling to 480 mobile telecommunication customers and was completed and returned by 438 mobile phone subscribers in Lagos state, Nigeria, but only 408 copies were useful for the analysis of this study. The result shows that six out of the seven criteria have weight above 10% in their individual contribution to motivating customer churn behavior in the Nigeria telecommunication industry. The inefficient data/ internet plan criterion has the highest weight of 18.81% relative to the churn decision. Thus, AHP effectively supported modeling and analyzing subscribers` motivation toward good marketing decision for both the individual and the organization. It helps in developing an analytic and intelligible framework of decision-making on complex problem of customer churn in an emerging market like Nigeria

  15. Assessment of Learning in Digital Interactive Social Networks: A Learning Analytics Approach

    Science.gov (United States)

    Wilson, Mark; Gochyyev, Perman; Scalise, Kathleen

    2016-01-01

    This paper summarizes initial field-test results from data analytics used in the work of the Assessment and Teaching of 21st Century Skills (ATC21S) project, on the "ICT Literacy--Learning in digital networks" learning progression. This project, sponsored by Cisco, Intel and Microsoft, aims to help educators around the world enable…

  16. Networking in the Desert - Operational and Analytical Challenges for MINUSMA in Mali

    DEFF Research Database (Denmark)

    Haugegaard, Rikke

    This paper will initiate a discussion of the operational and analytical challenges in understanding network dynamics in Mali, and how these dynamics can be seen as one source of conflict in Mali. The paper is based on a field visit to Mali in 2014....

  17. A network analytical approach to the study of labour market mobility

    DEFF Research Database (Denmark)

    Toubøl, Jonas; Larsen, Anton Grau; Jensen, Carsten Strøby

    The aim of this paper is to present a new network analytical method for analysis of social mobility between categories like occupations or industries. The method consists of two core components; the algorithm MONECA (Mobility Network Clustering Algorithm), and the intensity measure of Relative Risk...... of the typical theory driven definition of the labour market segments, the use of social network analysis enable a data driven definition of the segments based on the direct observation of mobility between job-positions, which reveals a number of new findings....

  18. Analytical approach to cross-layer protocol optimization in wireless sensor networks

    Science.gov (United States)

    Hortos, William S.

    2008-04-01

    In the distributed operations of route discovery and maintenance, strong interaction occurs across mobile ad hoc network (MANET) protocol layers. Quality of service (QoS) requirements of multimedia service classes must be satisfied by the cross-layer protocol, along with minimization of the distributed power consumption at nodes and along routes to battery-limited energy constraints. In previous work by the author, cross-layer interactions in the MANET protocol are modeled in terms of a set of concatenated design parameters and associated resource levels by multivariate point processes (MVPPs). Determination of the "best" cross-layer design is carried out using the optimal control of martingale representations of the MVPPs. In contrast to the competitive interaction among nodes in a MANET for multimedia services using limited resources, the interaction among the nodes of a wireless sensor network (WSN) is distributed and collaborative, based on the processing of data from a variety of sensors at nodes to satisfy common mission objectives. Sensor data originates at the nodes at the periphery of the WSN, is successively transported to other nodes for aggregation based on information-theoretic measures of correlation and ultimately sent as information to one or more destination (decision) nodes. The "multimedia services" in the MANET model are replaced by multiple types of sensors, e.g., audio, seismic, imaging, thermal, etc., at the nodes; the QoS metrics associated with MANETs become those associated with the quality of fused information flow, i.e., throughput, delay, packet error rate, data correlation, etc. Significantly, the essential analytical approach to MANET cross-layer optimization, now based on the MVPPs for discrete random events occurring in the WSN, can be applied to develop the stochastic characteristics and optimality conditions for cross-layer designs of sensor network protocols. Functional dependencies of WSN performance metrics are described in

  19. Laser-based analytical monitoring in nuclear-fuel processing plants

    Energy Technology Data Exchange (ETDEWEB)

    Hohimer, J.P.

    1978-09-01

    The use of laser-based analytical methods in nuclear-fuel processing plants is considered. The species and locations for accountability, process control, and effluent control measurements in the Coprocessing, Thorex, and reference Purex fuel processing operations are identified and the conventional analytical methods used for these measurements are summarized. The laser analytical methods based upon Raman, absorption, fluorescence, and nonlinear spectroscopy are reviewed and evaluated for their use in fuel processing plants. After a comparison of the capabilities of the laser-based and conventional analytical methods, the promising areas of application of the laser-based methods in fuel processing plants are identified.

  20. Impact of bankruptcy through asset portfolios. Network analytic solution unveils 1990s Japanese banking crisis

    Science.gov (United States)

    Sakamoto, Y.; Vodenska, I.

    2016-09-01

    We investigate the Japanese banking crisis in the late 1990s with a simple network based mathematical model, which allows us to simulate the crisis as well as to obtain new perspective through analytic solution of our network model. We effectively identify the actual bankrupted banks and the robustness of the banking system using a simulation model based on properties of a bi-partite bank-asset network. We show the mean time property and analytical solution of the model revealing aggregate time dynamics of bank asset prices throughout the banking crisis. The results disclose simple but fundamental property of asset growth, instrumental for understanding the bank crisis. We also estimate the selling pressure for each asset type, derived from a Cascading Failure Model (CFM), offering new perspective for investigating the phenomenon of banking crisis.

  1. Signal Processing for Optical Networks

    Science.gov (United States)

    2007-11-02

    understanding and enhancing a number of important recent wavelet-based and DCT- based image coders. We show that Shapiro’s well-known EZW scheme, Said and...comparable to Shapiro’s EZW coder (J. M. Shapiro, "Embedded image coding using zerotrees of wavelet coefficients", IEEE Trans, on Signal Processing, v. 41

  2. Network Model Building (Process Mapping)

    OpenAIRE

    Blau, Gary; Yih, Yuehwern

    2004-01-01

    12 slides Provider Notes:See Project Planning Video (Windows Media) Posted at the bottom are Gary Blau's slides. Before watching, please note that "process mapping" and "modeling" are mentioned in the video and notes. Here they are meant to refer to the NSCORT "project plan"

  3. Synthesis and Design of Processing Networks

    DEFF Research Database (Denmark)

    Quaglia, Alberto; Sarup, Bent; Sin, Gürkan

    2012-01-01

    In this contribution, we propose an integrated business and engineering framework for synthesis and design of processing networks under uncertainty. In our framework, an adapted formulation of the transhipment problem is integrated with a superstructure, leading to a Stochastic Mixed Integer Non...... Linear Program (sMINLP), which is solved to determine simultaneously the optimal strategic and tactical decisions with respect to the processing network, the material flows, raw material and product portfolio. The framework allows time-effective and robust formulation, solution and analysis of largescale...... synthesis problems in presence of uncertainty parameters, contributing to broaden the range of application of stochastic programming and optimization to real industrial problems. The framework is applied to an industrial case study based on soybean processing, to identify the optimal processing network...

  4. Sustainable Process Networks for CO2 Conversion

    DEFF Research Database (Denmark)

    Frauzem, Rebecca; Kongpanna, P.; Pavarajam, V.

    carbonate and ethylene carbonate are just some of the possible products that can be formed. Each of these involves CO2 and a co-reactant, such as hydrogen, which may also be captured from process purge streams. The process network evolves as some of the reactions involve products from other reactions...

  5. Discovering Implicit Networks from Point Process Data

    Science.gov (United States)

    2013-08-03

    Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 SOCIAL NETWORK ANALYSIS Szell et al, Nature 2012 Saturday, August 3, 13 (a) Adjacency...processes: ‣ Seismology ‣ Epidemiology ‣ Economics ‣ Modeling dependence is challenging - “beyond Poisson” ‣ Strauss and Gibbs Processes ‣ Determinantal

  6. Correlation Between the System Capabilities Analytic Process (SCAP) and the Missions and Means Framework (MMF)

    Science.gov (United States)

    2013-05-01

    Correlation Between the System Capabilities Analytic Process (SCAP) and the Missions and Means Framework ( MMF ) by Kevin S. Agan ARL-TR...ARL-TR-6455 May 2013 Correlation Between the System Capabilities Analytic Process (SCAP) and the Missions and Means Framework ( MMF ) Kevin...Analytic Process (SCAP) and the Missions and Means Framework ( MMF ) 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S

  7. Utility Optimal Scheduling in Processing Networks

    CERN Document Server

    Huang, Longbo

    2010-01-01

    We consider the problem of utility optimal scheduling in general \\emph{processing networks} with random arrivals and network conditions. These are generalizations of traditional data networks where commodities in one or more queues can be combined to produce new commodities that are delivered to other parts of the network. This can be used to model problems such as in-network data fusion, stream processing, and grid computing. Scheduling actions are complicated by the \\emph{underflow problem} that arises when some queues with required components go empty. In this paper, we develop the Perturbed Max-Weight algorithm (PMW) to achieve optimal utility. The idea of PMW is to perturb the weights used by the usual Max-Weight algorithm to ``push'' queue levels towards non-zero values (avoiding underflows). We show that when the perturbations are carefully chosen, PMW is able to achieve a utility that is within $O(1/V)$ of the optimal value for any $V\\geq1$, while ensuring an average network backlog of $O(V)$.

  8. Cascading Edge Failures: A Dynamic Network Process

    CERN Document Server

    Zhang, June

    2016-01-01

    This paper considers the dynamics of edges in a network. The Dynamic Bond Percolation (DBP) process models, through stochastic local rules, the dependence of an edge $(a,b)$ in a network on the states of its neighboring edges. Unlike previous models, DBP does not assume statistical independence between different edges. In applications, this means for example that failures of transmission lines in a power grid are not statistically independent, or alternatively, relationships between individuals (dyads) can lead to changes in other dyads in a social network. We consider the time evolution of the probability distribution of the network state, the collective states of all the edges (bonds), and show that it converges to a stationary distribution. We use this distribution to study the emergence of global behaviors like consensus (i.e., catastrophic failure or full recovery of the entire grid) or coexistence (i.e., some failed and some operating substructures in the grid). In particular, we show that, depending on...

  9. Analytical estimates of efficiency of attractor neural networks with inborn connections

    Directory of Open Access Journals (Sweden)

    Solovyeva Ksenia

    2016-01-01

    Full Text Available The analysis is restricted to the features of neural networks endowed to the latter by the inborn (not learned connections. We study attractor neural networks in which for almost all operation time the activity resides in close vicinity of a relatively small number of attractor states. The number of the latter, M, is proportional to the number of neurons in the neural network, N, while the total number of the states in it is 2N. The unified procedure of growth/fabrication of neural networks with sets of all attractor states with dimensionality d=0 and d=1, based on model molecular markers, is studied in detail. The specificity of the networks (d=0 or d=1 depends on topology (i.e., the set of distances between elements which can be provided to the set of molecular markers by their physical nature. The neural networks parameters estimates and trade-offs for them in attractor neural networks are calculated analytically. The proposed mechanisms reveal simple and efficient ways of implementation in artificial as well as in natural neural networks of multiplexity, i.e. of using activity of single neurons in representation of multiple values of the variables, which are operated by the neural systems. It is discussed how the neuronal multiplexity provides efficient and reliable ways of performing functional operations in the neural systems.

  10. USING ANALYTIC NETWORK FOR SELECTION OF ENTERPRISE RESOURCE PLANNING (ERP ALIGNED TO BUSINESS STRATEGY

    Directory of Open Access Journals (Sweden)

    Alberto de Medeiros Junior

    2014-10-01

    Full Text Available The choice of an Enterprise Resource Planning (ERP must be made judiciously by the high costs involved in the acquisition of such systems. Managers in areas such as accounting, financial and information technology need support and tools that help in selecting an appropriate ERP for their business. With this article, we present a study aimed at investigating the possibility of a Decision Support System (DSS to be used for this selection interrelating evaluation criteria, which could allow to contemplate the strategic alignment between Business and Information Technology. From the literature review 28 factors related to the selection of software packages, with special emphasis on ERP were identified. For the research procedures, the qualitative ones were adopted, in that the 18 factors considered relevant to a good selection of ERP were classified with the Delphi technique and used as input in a DSS: Analytical Network Process (ANP, applied as a Case Study in a small business that hired the ERP. The results showed that the ANP was efficient in interrelated criteria and evaluated the strategic alignment between Business and Information Technology.

  11. Analytical Model based on Green Criteria for Optical Backbone Network Interconnection

    DEFF Research Database (Denmark)

    Gutierrez Lopez, Jose Manuel; Riaz, M. Tahir; Pedersen, Jens Myrup

    2011-01-01

    to the evaluation of the environmental impact of networks from physical interconnection point of view. Networks deployment, usage, and disposal are analyzed as contributing elements to ICT’s (Information and Communications Technology) CO2 emissions. This paper presents an analytical model for evaluating...... and quantifying the CO2 emissions of optical backbone networks during their lifetime. The main goal of this work is to present the model and illustrate how to evaluate the physical interconnection of backbones from an environmental perspective. This model can be applied as a new type of decision support criteria...... for backbone’s interconnection, since minimization of CO2 emissions is becoming an important factor. In addition, two case studies are presented to illustrate the use and application of this model, and the need for de facto and international standards to reduce CO2 emissions through good network planning....

  12. Experimental and Analytical Research on Fracture Processes in ROck

    Energy Technology Data Exchange (ETDEWEB)

    Herbert H.. Einstein; Jay Miller; Bruno Silva

    2009-02-27

    Experimental studies on fracture propagation and coalescence were conducted which together with previous tests by this group on gypsum and marble, provide information on fracturing. Specifically, different fracture geometries wsere tested, which together with the different material properties will provide the basis for analytical/numerical modeling. INitial steps on the models were made as were initial investigations on the effect of pressurized water on fracture coalescence.

  13. Analytical Solution for the Size of the Minimum Dominating Set in Complex Networks

    CERN Document Server

    Nacher, Jose C

    2016-01-01

    Domination is the fastest-growing field within graph theory with a profound diversity and impact in real-world applications, such as the recent breakthrough approach that identifies optimized subsets of proteins enriched with cancer-related genes. Despite its conceptual simplicity, domination is a classical NP-complete decision problem which makes analytical solutions elusive and poses difficulties to design optimization algorithms for finding a dominating set of minimum cardinality in a large network. Here we derive for the first time an approximate analytical solution for the density of the minimum dominating set (MDS) by using a combination of cavity method and Ultra-Discretization (UD) procedure. The derived equation allows us to compute the size of MDS by only using as an input the information of the degree distribution of a given network.

  14. MENGURAI MASALAH PENGEMBANGAN SUKUK KORPORASI INDONESIA MENGGUNAKAN ANALYTIC NETWORK PROCESS

    Directory of Open Access Journals (Sweden)

    Nila Dewi

    2014-03-01

    Full Text Available Sukuk as an instrument of Islamic finance has created the competitive advantages for the practitioners of Islamic finance, which it can contribute of funding mobilization in economic development. Although in size of issuance and emission growing rapidly, but the growth of sukuk has slow moving. These causes are consist of 1 emiten problem: lack of commitment, understanding, averse to risk, and low of corporate rating; 2 investor problem: lack of knowledge, averse to risk, diversification, profitoriented/floating majority; 3 supporting problem: incentive, taxation, socialization, understanding of underwriter; 4 market problem: conventional dominant, lack of instruments, low of size of issuance, liquidity of secondary market. Therefore, this study try to identifies some causes, factors and hindrances the development of corporate sukuk in Indonesia. The results show that the primary problems come from: 1 lack of understanding (emiten; liquidity of secondary market (market; 3 lack of knowledge (investor; 4 incentive (supporting; 5 low of size of issuance. The primary solutions are: 1 intensive socialization; 2 encouragement to state owned corporation; 3 taxation regulation; 4 product innovation; 5 incentive. Furthermore, the levels of agreement among respondents (Kendall’s coefficient conclude that practitioners show higher rater agreement than that of experts. Therefore, in applying of sukuk, appraisal and opinion of practitioners can be used in considering.JEL Classification : C14, G39Keywords : ANP, Sukuk Corporate

  15. Shaping Formal Networks throug the Regulatory Process

    NARCIS (Netherlands)

    Hall, Thad E.; O'Toole, Laurence J.

    2004-01-01

    Recent research has shown that, at the federal level, new or amended programs typically create networks consisting of multiactor structures spanning governments, sectors, and/or agencies. This study examines the implementation structures created through the regulatory process. We find that in a majo

  16. Inferring sparse networks for noisy transient processes

    Science.gov (United States)

    Tran, Hoang M.; Bukkapatnam, Satish T. S.

    2016-02-01

    Inferring causal structures of real world complex networks from measured time series signals remains an open issue. The current approaches are inadequate to discern between direct versus indirect influences (i.e., the presence or absence of a directed arc connecting two nodes) in the presence of noise, sparse interactions, as well as nonlinear and transient dynamics of real world processes. We report a sparse regression (referred to as the -min) approach with theoretical bounds on the constraints on the allowable perturbation to recover the network structure that guarantees sparsity and robustness to noise. We also introduce averaging and perturbation procedures to further enhance prediction scores (i.e., reduce inference errors), and the numerical stability of -min approach. Extensive investigations have been conducted with multiple benchmark simulated genetic regulatory network and Michaelis-Menten dynamics, as well as real world data sets from DREAM5 challenge. These investigations suggest that our approach can significantly improve, oftentimes by 5 orders of magnitude over the methods reported previously for inferring the structure of dynamic networks, such as Bayesian network, network deconvolution, silencing and modular response analysis methods based on optimizing for sparsity, transients, noise and high dimensionality issues.

  17. Process analytical technology tools for perfusion cell culture

    NARCIS (Netherlands)

    Mercier, S.M.; Rouel, P.M.; Lebrun, P.M.; Diepenbroek, B.; Wijffels, R.H.; Streefland, M.

    2016-01-01

    During cell cultivation processes for the production of biopharmaceuticals, good process performance and good product quality can be ensured by online monitoring of critical process parameters (e.g. temperature, pH, or dissolved oxygen). These data can be used in real-time for process control, as su

  18. Calculating of river water quality sampling frequency by the analytic hierarchy process (AHP).

    Science.gov (United States)

    Do, Huu Tuan; Lo, Shang-Lien; Phan Thi, Lan Anh

    2013-01-01

    River water quality sampling frequency is an important aspect of the river water quality monitoring network. A suitable sampling frequency for each station as well as for the whole network will provide a measure of the real water quality status for the water quality managers as well as the decision makers. The analytic hierarchy process (AHP) is an effective method for decision analysis and calculation of weighting factors based on multiple criteria to solve complicated problems. This study introduces a new procedure to design river water quality sampling frequency by applying the AHP. We introduce and combine weighting factors of variables with the relative weights of stations to select the sampling frequency for each station, monthly and yearly. The new procedure was applied for Jingmei and Xindian rivers, Taipei, Taiwan. The results showed that sampling frequency should be increased at high weighted stations while decreased at low weighted stations. In addition, a detailed monitoring plan for each station and each month could be scheduled from the output results. Finally, the study showed that the AHP is a suitable method to design a system for sampling frequency as it could combine multiple weights and multiple levels for stations and variables to calculate a final weight for stations, variables, and months.

  19. Criminal Network Investigation: Processes, Tools, and Techniques

    DEFF Research Database (Denmark)

    Petersen, Rasmus Rosenqvist

    to the success of investigations. Basic criminal network investigation concepts have been developed and tested using proof-of-concept prototyping, resulting in generic software components for tool support of criminal network investigation. We have used these components to build CrimeFighter Investigator...... three challenges we formulated our hypothesis for tool support, and analyzed problems related to each individual challenge. Our response to these problems is a list of research focus requirements, to guide our development of new processes, tools, and techniques that ultimately would reduce the impact...... of the challenges and support the hypothesis. We propose hypertext as the key technology to bridge human and tool related requirements to provide integrated support for both, resulting in increased capabilities, that ultimately will create a synergy effect useful for criminal network investigation. We create...

  20. Variability of Contact Process in Complex Networks

    CERN Document Server

    Gong, Kai; Yang, Hui; Shang, Mingsheng; 10.1063/1.3664403

    2012-01-01

    We study numerically how the structures of distinct networks influence the epidemic dynamics in contact process. We first find that the variability difference between homogeneous and heterogeneous networks is very narrow, although the heterogeneous structures can induce the lighter prevalence. Contrary to non-community networks, strong community structures can cause the secondary outbreak of prevalence and two peaks of variability appeared. Especially in the local community, the extraordinarily large variability in early stage of the outbreak makes the prediction of epidemic spreading hard. Importantly, the bridgeness plays a significant role in the predictability, meaning the further distance of the initial seed to the bridgeness, the less accurate the predictability is. Also, we investigate the effect of different disease reaction mechanisms on variability, and find that the different reaction mechanisms will result in the distinct variabilities at the end of epidemic spreading.

  1. Quality-by-Design (QbD): An integrated process analytical technology (PAT) approach for a dynamic pharmaceutical co-precipitation process characterization and process design space development.

    Science.gov (United States)

    Wu, Huiquan; White, Maury; Khan, Mansoor A

    2011-02-28

    The aim of this work was to develop an integrated process analytical technology (PAT) approach for a dynamic pharmaceutical co-precipitation process characterization and design space development. A dynamic co-precipitation process by gradually introducing water to the ternary system of naproxen-Eudragit L100-alcohol was monitored at real-time in situ via Lasentec FBRM and PVM. 3D map of count-time-chord length revealed three distinguishable process stages: incubation, transition, and steady-state. The effects of high risk process variables (slurry temperature, stirring rate, and water addition rate) on both derived co-precipitation process rates and final chord-length-distribution were evaluated systematically using a 3(3) full factorial design. Critical process variables were identified via ANOVA for both transition and steady state. General linear models (GLM) were then used for parameter estimation for each critical variable. Clear trends about effects of each critical variable during transition and steady state were found by GLM and were interpreted using fundamental process principles and Nyvlt's transfer model. Neural network models were able to link process variables with response variables at transition and steady state with R(2) of 0.88-0.98. PVM images evidenced nucleation and crystal growth. Contour plots illustrated design space via critical process variables' ranges. It demonstrated the utility of integrated PAT approach for QbD development.

  2. GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection

    Energy Technology Data Exchange (ETDEWEB)

    Harshaw, Chris R [ORNL; Bridges, Robert A [ORNL; Iannacone, Michael D [ORNL; Reed, Joel W [ORNL; Goodall, John R [ORNL

    2016-01-01

    This paper introduces a novel graph-analytic approach for detecting anomalies in network flow data called \\textit{GraphPrints}. Building on foundational network-mining techniques, our method represents time slices of traffic as a graph, then counts graphlets\\textemdash small induced subgraphs that describe local topology. By performing outlier detection on the sequence of graphlet counts, anomalous intervals of traffic are identified, and furthermore, individual IPs experiencing abnormal behavior are singled-out. Initial testing of GraphPrints is performed on real network data with an implanted anomaly. Evaluation shows false positive rates bounded by 2.84\\% at the time-interval level, and 0.05\\% at the IP-level with 100\\% true positive rates at both.

  3. Analytical method for promoting process capability of shock absorption steel

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    Mechanical properties and low cycle fatigue are two factors that must be considered in developing new type steel for shock absorption. Process capability and process control are significant factors in achieving the purpose of research and development programs. Often-used evaluation methods failed to measure process yield and process centering; so this paper uses Taguchi loss function as basis to establish an evaluation method and the steps for assessing the quality of mechanical properties and process control of an iron and steel manufacturer. The establishment of this method can serve the research and development and manufacturing industry and lay a foundation in enhancing its process control ability to select better manufacturing processes that are more reliable than decision making by using the other commonly used methods.

  4. Speed of synchronization in complex networks of neural oscillators: analytic results based on Random Matrix Theory.

    Science.gov (United States)

    Timme, Marc; Geisel, Theo; Wolf, Fred

    2006-03-01

    We analyze the dynamics of networks of spiking neural oscillators. First, we present an exact linear stability theory of the synchronous state for networks of arbitrary connectivity. For general neuron rise functions, stability is determined by multiple operators, for which standard analysis is not suitable. We describe a general nonstandard solution to the multioperator problem. Subsequently, we derive a class of neuronal rise functions for which all stability operators become degenerate and standard eigenvalue analysis becomes a suitable tool. Interestingly, this class is found to consist of networks of leaky integrate-and-fire neurons. For random networks of inhibitory integrate-and-fire neurons, we then develop an analytical approach, based on the theory of random matrices, to precisely determine the eigenvalue distributions of the stability operators. This yields the asymptotic relaxation time for perturbations to the synchronous state which provides the characteristic time scale on which neurons can coordinate their activity in such networks. For networks with finite in-degree, i.e., finite number of presynaptic inputs per neuron, we find a speed limit to coordinating spiking activity. Even with arbitrarily strong interaction strengths neurons cannot synchronize faster than at a certain maximal speed determined by the typical in-degree.

  5. Analytical method for promoting process capability of shock absorption steel

    Institute of Scientific and Technical Information of China (English)

    SUNGWen-Pei; SHIHMing-Hsiang; CHENKuen-Suan

    2003-01-01

    Mechanical properties and low cycle fatigue are two factors that must be considered in developin gnew type steel for shock absorption. Process capability and process control are significant factors in achieving the purpose of research and development programs. Often-used evaluation methods failed to measure processyield and process centering ; so this paper uses Taguchi loss function as basis to establish an evaluation methodand the steps for assessing the quality of mechanical properties and process control of an iron and steel manu-facturer. The establishment of this method can serve the research and development and manufacturing industry and lay a foundation in enhancing its process control ability to select better manufacturing processes that are more reliable than decision making by using the other commonly used methods.

  6. Leveraging Big-Data for Business Process Analytics

    Science.gov (United States)

    Vera-Baquero, Alejandro; Colomo Palacios, Ricardo; Stantchev, Vladimir; Molloy, Owen

    2015-01-01

    Purpose: This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence…

  7. Classification of user interfaces for graph-based online analytical processing

    Science.gov (United States)

    Michaelis, James R.

    2016-05-01

    In the domain of business intelligence, user-oriented software for conducting multidimensional analysis via Online- Analytical Processing (OLAP) is now commonplace. In this setting, datasets commonly have well-defined sets of dimensions and measures around which analysis tasks can be conducted. However, many forms of data used in intelligence operations - deriving from social networks, online communications, and text corpora - will consist of graphs with varying forms of potential dimensional structure. Hence, enabling OLAP over such data collections requires explicit definition and extraction of supporting dimensions and measures. Further, as Graph OLAP remains an emerging technique, limited research has been done on its user interface requirements. Namely, on effective pairing of interface designs to different types of graph-derived dimensions and measures. This paper presents a novel technique for pairing of user interface designs to Graph OLAP datasets, rooted in Analytic Hierarchy Process (AHP) driven comparisons. Attributes of the classification strategy are encoded through an AHP ontology, developed in our alternate work and extended to support pairwise comparison of interfaces. Specifically, according to their ability, as perceived by Subject Matter Experts, to support dimensions and measures corresponding to Graph OLAP dataset attributes. To frame this discussion, a survey is provided both on existing variations of Graph OLAP, as well as existing interface designs previously applied in multidimensional analysis settings. Following this, a review of our AHP ontology is provided, along with a listing of corresponding dataset and interface attributes applicable toward SME recommendation structuring. A walkthrough of AHP-based recommendation encoding via the ontology-based approach is then provided. The paper concludes with a short summary of proposed future directions seen as essential for this research area.

  8. Adaptive cyclically dominating game on co-evolving networks: Numerical and analytic results

    CERN Document Server

    Choi, Chi Wun; Hui, Pak Ming

    2016-01-01

    A co-evolving and adaptive Rock (R)-Paper (P)-Scissors (S) game (ARPS) in which an agent uses one of three cyclically dominating strategies is proposed and studied numerically and analytically. An agent takes adaptive actions to achieve a neighborhood to his advantage by rewiring a dissatisfying link with a probability $p$ or switching strategy with a probability $1-p$. Numerical results revealed two phases in the steady state. An active phase for $pp_{\\text{cri}}$ has three separate clusters of agents using only R, P, and S, respectively with terminated adaptive actions. A mean-field theory of link densities in co-evolving network is formulated in a general way that can be readily modified to other co-evolving network problems of multiple strategies. The analytic results agree with simulation results on ARPS well. We point out the different probabilities of winning, losing, and drawing a game among the agents as the origin of the small discrepancy between analytic and simulation results. As a result of the a...

  9. Toward an Analytical and Methodological Understanding of Actor-Network Theory

    Directory of Open Access Journals (Sweden)

    Sharon Jackson

    2015-02-01

    Full Text Available Actor-Network theory (ANT is well developed within social studies of science and technology. The last two decades have seen an increasing awareness and interest in ANT within the social sciences and it has increasingly been invoked to theorise the role of ‘nonhumans’ in social life.  In this respect the conceptual repertoire of ANT has been increasingly drawn upon to examine the relational dimensions between artefacts and people. Despite this the use of ANT as an analytical and/or methodological approach occupies a peripheral within social science research.  In part, the reticence towards ANT may be explained by its lack of theoretical unity. Analytically and methodologically the application of ANT and thought which is closely associated with the approach is considerably varied. ANT informed research often differs quite considerably in terms of methodological approach and style of analyses. This is further complicated by the disparate emphases of ANT proponents and the proliferation of different versions of ANT. Thus, there is no generic way to ‘apply’ actor-network theory and it lacks methodological prescription. This article intends to articulate the analytical and methodological possibilities of ANT. For those who are encountering ANT for the first time or for whom ANT has been regarded as a somewhat left field and inaccessible theory obscured by its own vocabularies and heterogeneity this article may provide a useful conceptual map through which the key elements of ANT can be navigated.

  10. A Novel Analytical Approach to Pulsatile Blood Flow in the Arterial Network.

    Science.gov (United States)

    Flores, Joaquín; Alastruey, Jordi; Corvera Poiré, Eugenia

    2016-10-01

    Haemodynamic simulations using one-dimensional (1-D) computational models exhibit many of the features of the systemic circulation under normal and diseased conditions. We propose a novel linear 1-D dynamical theory of blood flow in networks of flexible vessels that is based on a generalized Darcy's model and for which a full analytical solution exists in frequency domain. We assess the accuracy of this formulation in a series of benchmark test cases for which computational 1-D and 3-D solutions are available. Accordingly, we calculate blood flow and pressure waves, and velocity profiles in the human common carotid artery, upper thoracic aorta, aortic bifurcation, and a 20-artery model of the aorta and its larger branches. Our analytical solution is in good agreement with the available solutions and reproduces the main features of pulse waveforms in networks of large arteries under normal physiological conditions. Our model reduces computational time and provides a new approach for studying arterial pulse wave mechanics; e.g.,  the analyticity of our model allows for a direct identification of the role played by physical properties of the cardiovascular system on the pressure waves.

  11. Diagnosing process faults using neural network models

    Energy Technology Data Exchange (ETDEWEB)

    Buescher, K.L.; Jones, R.D.; Messina, M.J.

    1993-11-01

    In order to be of use for realistic problems, a fault diagnosis method should have the following three features. First, it should apply to nonlinear processes. Second, it should not rely on extensive amounts of data regarding previous faults. Lastly, it should detect faults promptly. The authors present such a scheme for static (i.e., non-dynamic) systems. It involves using a neural network to create an associative memory whose fixed points represent the normal behavior of the system.

  12. An Analytic Hierarchy Process for School Quality and Inspection: Model Development and Application

    Science.gov (United States)

    Al Qubaisi, Amal; Badri, Masood; Mohaidat, Jihad; Al Dhaheri, Hamad; Yang, Guang; Al Rashedi, Asma; Greer, Kenneth

    2016-01-01

    Purpose: The purpose of this paper is to develop an analytic hierarchy planning-based framework to establish criteria weights and to develop a school performance system commonly called school inspections. Design/methodology/approach: The analytic hierarchy process (AHP) model uses pairwise comparisons and a measurement scale to generate the…

  13. Rapid process development of chromatographic process using direct analysis in real time mass spectrometry as a process analytical technology tool.

    Science.gov (United States)

    Yan, Binjun; Chen, Teng; Xu, Zhilin; Qu, Haibin

    2014-06-01

    The concept of quality by design (QbD) is widely applied in the process development of pharmaceuticals. However, the additional cost and time have caused some resistance about QbD implementation. To show a possible solution, this work proposed a rapid process development method, which used direct analysis in real time mass spectrometry (DART-MS) as a process analytical technology (PAT) tool for studying the chromatographic process of Ginkgo biloba L., as an example. The breakthrough curves were fast determined by DART-MS at-line. A high correlation coefficient of 0.9520 was found between the concentrations of ginkgolide A determined by DART-MS and HPLC. Based on the PAT tool, the impacts of process parameters on the adsorption capacity were discovered rapidly, which showed a decreased adsorption capacity with the increase of the flow rate. This work has shown the feasibility and advantages of integrating PAT into QbD implementation for rapid process development.

  14. Green Degree Comprehensive Evaluation of Elevator Based on Fuzzy Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Lizhen

    2015-01-01

    Full Text Available The green design of the elevator has many characteristics which contains many factors and the combination of qualitative and quantitative. In view of the fuzzy problem of evaluation index information, fuzzy analytic hierarchy process and fuzzy comprehensive evaluation model are combined to evaluate the green degree of elevator. In this method, the weights of the indexes are calculated by using the fuzzy analytic hierarchy process and the fuzzy analytic hierarchy process is used to calculate the weights of each level. The feasibility will be defined of using green degree evaluation of elevator system as an example to verify the method.

  15. Tensegrity II. How structural networks influence cellular information processing networks

    Science.gov (United States)

    Ingber, Donald E.

    2003-01-01

    The major challenge in biology today is biocomplexity: the need to explain how cell and tissue behaviors emerge from collective interactions within complex molecular networks. Part I of this two-part article, described a mechanical model of cell structure based on tensegrity architecture that explains how the mechanical behavior of the cell emerges from physical interactions among the different molecular filament systems that form the cytoskeleton. Recent work shows that the cytoskeleton also orients much of the cell's metabolic and signal transduction machinery and that mechanical distortion of cells and the cytoskeleton through cell surface integrin receptors can profoundly affect cell behavior. In particular, gradual variations in this single physical control parameter (cell shape distortion) can switch cells between distinct gene programs (e.g. growth, differentiation and apoptosis), and this process can be viewed as a biological phase transition. Part II of this article covers how combined use of tensegrity and solid-state mechanochemistry by cells may mediate mechanotransduction and facilitate integration of chemical and physical signals that are responsible for control of cell behavior. In addition, it examines how cell structural networks affect gene and protein signaling networks to produce characteristic phenotypes and cell fate transitions during tissue development.

  16. Quantum Processes and Dynamic Networks in Physical and Biological Systems.

    Science.gov (United States)

    Dudziak, Martin Joseph

    , by virtue of mathematical and computational models that may be transferred from the macroscopic domain to the microscopic. A consequence of this multi-faceted thesis is that there may be mature analytical tools and techniques that have heretofore not been adequately recognized for their value to quantum physics. These may include adaptations of neural networks, cellular automata, chaotic attractors, and parallel processing systems. Conceptual and practical architectures are presented for the development of software and hardware environments to employ massively parallel computing for the modeling of large populations of dynamic processes.

  17. An analytical approach to customer requirement information processing

    Science.gov (United States)

    Zhou, Zude; Xiao, Zheng; Liu, Quan; Ai, Qingsong

    2013-11-01

    'Customer requirements' (CRs) management is a key component of customer relationship management (CRM). By processing customer-focused information, CRs management plays an important role in enterprise systems (ESs). Although two main CRs analysis methods, quality function deployment (QFD) and Kano model, have been applied to many fields by many enterprises in the past several decades, the limitations such as complex processes and operations make them unsuitable for online businesses among small- and medium-sized enterprises (SMEs). Currently, most SMEs do not have the resources to implement QFD or Kano model. In this article, we propose a method named customer requirement information (CRI), which provides a simpler and easier way for SMEs to run CRs analysis. The proposed method analyses CRs from the perspective of information and applies mathematical methods to the analysis process. A detailed description of CRI's acquisition, classification and processing is provided.

  18. Analytical calculation of adiabatic processes in real gases

    Science.gov (United States)

    Amarskaja, I. B.; Belousov, V. S.; Filippov, P. S.

    2016-10-01

    The impact of gases nonideality in the compression and expansion processes on the specific heat ratio and the heat capacity is analyzed. The specific heat ratio variation leads to temperature variation during compression in the compressor and expansion in the turbine and, consequently, the gas turbine cycle efficiency factor variation. It is also essential to consider the gases nonideality in the compression and expansion processes in the compression processes in compressor. Generally it is assumed during calculations that the heat capacities depend only on temperature, in this case the reference data presented by various authors differs markedly. In the real processes the heat capacity and the specific heat ratio depend on temperature and within the particular temperatures and pressures range depend on pressure. Consequently, the operating fluid nonideality in the gas turbine cycle should be considered.

  19. Investigation of thermal stratification in cisterns using analytical and Artificial Neural Networks methods

    Energy Technology Data Exchange (ETDEWEB)

    Ameri Siahoui, H.R. [Department of Architectural Engineering, Payam-e-Noor University, Bandar Abbas (Iran, Islamic Republic of); Dehghani, A.R.; Razavi, M. [Department of Mechanical Engineering, Islamic Azad University, Science and Research Branch, 1486953781 Tehran (Iran, Islamic Republic of); Khani, M.R. [Department of Environmental Health, School of Public Health, Islamic Azad University, Medical Sciences Branch, Tehran (Iran, Islamic Republic of)

    2011-01-15

    The thermal characteristics of an underground cold-water reservoir are investigated analytically and using Artificial Neural Networks (ANN). An analytical solution is developed for the temperature distribution in the reservoir by assuming a linearized boundary condition at the water surface. For the general non-linear boundary condition, the temperature distribution is modeled using ANN. Very good agreements between the analytical and ANN results at various times during the withdrawal cycle are observed, ensuring the accuracy of the analytical and ANN procedures. The results show that a stable thermal stratification is preserved in the reservoir throughout the entire course of withdrawal cycle. As one important outcome of this research, two different regions are observed inside the thermally stratified tank during discharge cycle. The bottom region with a linear temperature distribution and the upper one in which a nearly exponential thermal stratification are developed. During withdrawal cycle, the outside temperature reaches as high as 42 C, while cool water with the temperature varying from 12 to 13 C is easily available from the underground water reservoir under investigation. (author)

  20. Analytical Model of Large Data Transactions in CoAP Networks

    Directory of Open Access Journals (Sweden)

    Alessandro Ludovici

    2014-08-01

    Full Text Available We propose a novel analytical model to study fragmentation methods in wireless sensor networks adopting the Constrained Application Protocol (CoAP and the IEEE 802.15.4 standard for medium access control (MAC. The blockwise transfer technique proposed in CoAP and the 6LoWPAN fragmentation are included in the analysis. The two techniques are compared in terms of reliability and delay, depending on the traffic, the number of nodes and the parameters of the IEEE 802.15.4 MAC. The results are validated trough Monte Carlo simulations. To the best of our knowledge this is the first study that evaluates and compares analytically the performance of CoAP blockwise transfer and 6LoWPAN fragmentation. A major contribution is the possibility to understand the behavior of both techniques with different network conditions. Our results show that 6LoWPAN fragmentation is preferable for delay-constrained applications. For highly congested networks, the blockwise transfer slightly outperforms 6LoWPAN fragmentation in terms of reliability.

  1. Analytical model of large data transactions in CoAP networks.

    Science.gov (United States)

    Ludovici, Alessandro; Di Marco, Piergiuseppe; Calveras, Anna; Johansson, Karl H

    2014-08-22

    We propose a novel analytical model to study fragmentation methods in wireless sensor networks adopting the Constrained Application Protocol (CoAP) and the IEEE 802.15.4 standard for medium access control (MAC). The blockwise transfer technique proposed in CoAP and the 6LoWPAN fragmentation are included in the analysis. The two techniques are compared in terms of reliability and delay, depending on the traffic, the number of nodes and the parameters of the IEEE 802.15.4 MAC. The results are validated trough Monte Carlo simulations. To the best of our knowledge this is the first study that evaluates and compares analytically the performance of CoAP blockwise transfer and 6LoWPAN fragmentation. A major contribution is the possibility to understand the behavior of both techniques with different network conditions. Our results show that 6LoWPAN fragmentation is preferable for delay-constrained applications. For highly congested networks, the blockwise transfer slightly outperforms 6LoWPAN fragmentation in terms of reliability.

  2. Resting-brain functional connectivity predicted by analytic measures of network communication

    Science.gov (United States)

    Goñi, Joaquín; van den Heuvel, Martijn P.; Avena-Koenigsberger, Andrea; Velez de Mendizabal, Nieves; Betzel, Richard F.; Griffa, Alessandra; Hagmann, Patric; Corominas-Murtra, Bernat; Thiran, Jean-Philippe; Sporns, Olaf

    2014-01-01

    The complex relationship between structural and functional connectivity, as measured by noninvasive imaging of the human brain, poses many unresolved challenges and open questions. Here, we apply analytic measures of network communication to the structural connectivity of the human brain and explore the capacity of these measures to predict resting-state functional connectivity across three independently acquired datasets. We focus on the layout of shortest paths across the network and on two communication measures—search information and path transitivity—which account for how these paths are embedded in the rest of the network. Search information is an existing measure of information needed to access or trace shortest paths; we introduce path transitivity to measure the density of local detours along the shortest path. We find that both search information and path transitivity predict the strength of functional connectivity among both connected and unconnected node pairs. They do so at levels that match or significantly exceed path length measures, Euclidean distance, as well as computational models of neural dynamics. This capacity suggests that dynamic couplings due to interactions among neural elements in brain networks are substantially influenced by the broader network context adjacent to the shortest communication pathways. PMID:24379387

  3. Error processing network dynamics in schizophrenia.

    Science.gov (United States)

    Becerril, Karla E; Repovs, Grega; Barch, Deanna M

    2011-01-15

    Current theories of cognitive dysfunction in schizophrenia emphasize an impairment in the ability of individuals suffering from this disorder to monitor their own performance, and adjust their behavior to changing demands. Detecting an error in performance is a critical component of evaluative functions that allow the flexible adjustment of behavior to optimize outcomes. The dorsal anterior cingulate cortex (dACC) has been repeatedly implicated in error-detection and implementation of error-based behavioral adjustments. However, accurate error-detection and subsequent behavioral adjustments are unlikely to rely on a single brain region. Recent research demonstrates that regions in the anterior insula, inferior parietal lobule, anterior prefrontal cortex, thalamus, and cerebellum also show robust error-related activity, and integrate into a functional network. Despite the relevance of examining brain activity related to the processing of error information and supporting behavioral adjustments in terms of a distributed network, the contribution of regions outside the dACC to error processing remains poorly understood. To address this question, we used functional magnetic resonance imaging to examine error-related responses in 37 individuals with schizophrenia and 32 healthy controls in regions identified in the basic science literature as being involved in error processing, and determined whether their activity was related to behavioral adjustments. Our imaging results support previous findings showing that regions outside the dACC are sensitive to error commission, and demonstrated that abnormalities in brain responses to errors among individuals with schizophrenia extend beyond the dACC to almost all of the regions involved in error-related processing in controls. However, error related responses in the dACC were most predictive of behavioral adjustments in both groups. Moreover, the integration of this network of regions differed between groups, with the

  4. Just-in-time Data Distribution for Analytical Query Processing

    NARCIS (Netherlands)

    Ivanova, M.G.; Kersten, M.L.; Groffen, F.E.

    2012-01-01

    Distributed processing commonly requires data spread across machines using a priori static or hash-based data allocation. In this paper, we explore an alternative approach that starts from a master node in control of the complete database, and a variable number of worker nodes for delegated

  5. Just-In-Time Data Distribution for Analytical Query Processing

    NARCIS (Netherlands)

    Ivanova, M.; Kersten, M.; Groffen, F.

    2012-01-01

    Distributed processing commonly requires data spread across machines using a priori static or hash-based data allocation. In this paper, we explore an alternative approach that starts from a master node in control of the complete database, and a variable number of worker nodes for delegated query pr

  6. Analytical control of process impurities in Pazopanib hydrochloride by impurity fate mapping.

    Science.gov (United States)

    Li, Yan; Liu, David Q; Yang, Shawn; Sudini, Ravinder; McGuire, Michael A; Bhanushali, Dharmesh S; Kord, Alireza S

    2010-08-01

    Understanding the origin and fate of organic impurities within the manufacturing process along with a good control strategy is an integral part of the quality control of drug substance. Following the underlying principles of quality by design (QbD), a systematic approach to analytical control of process impurities by impurity fate mapping (IFM) has been developed and applied to the investigation and control of impurities in the manufacturing process of Pazopanib hydrochloride, an anticancer drug approved recently by the U.S. FDA. This approach requires an aggressive chemical and analytical search for potential impurities in the starting materials, intermediates and drug substance, and experimental studies to track their fate through the manufacturing process in order to understand the process capability for rejecting such impurities. Comprehensive IFM can provide elements of control strategies for impurities. This paper highlights the critical roles that analytical sciences play in the IFM process and impurity control. The application of various analytical techniques (HPLC, LC-MS, NMR, etc.) and development of sensitive and selective methods for impurity detection, identification, separation and quantification are highlighted with illustrative examples. As an essential part of the entire control strategy for Pazopanib hydrochloride, analytical control of impurities with 'meaningful' specifications and the 'right' analytical methods is addressed. In particular, IFM provides scientific justification that can allow for control of process impurities up-stream at the starting materials or intermediates whenever possible.

  7. A comparison of verbal and numerical judgments in the analytic hierarchy process

    NARCIS (Netherlands)

    Huizingh, EKRE; Vrolijk, HCJ

    1997-01-01

    In the Analytic Hierarchy Process (AHP), decision makers make pairwise comparisons of alternatives and criteria. The AHP allows to make these pairwise comparisons verbally or numerically. Although verbal statements are intuitively attractive for preference elicitation, there is overwhelming evidence

  8. Coastal vulnerability assessment of Puducherry coast, India, using the analytical hierarchical process

    Digital Repository Service at National Institute of Oceanography (India)

    ManiMurali, R.; Ankita, M.; Amrita, S.; Vethamony, P.

    for vulnerability assessment to ensure better understanding of the elements causing different hazards and to consequently minimize the after- effects of the future events. This paper demonstrates an analytical hierarchical process (AHP)-based approach to coastal...

  9. Process-Hardened, Multi-Analyte Sensor for Characterizing Rocket Plum Constituents Under Test Environment Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This STTR project aims to develop a process-hardened, simple and low cost multi-analyte sensor for detecting components of rocket engine plumes. The sensor will be...

  10. Analytical Model of Large Data Transactions in CoAP Networks

    OpenAIRE

    Alessandro Ludovici; Piergiuseppe Di Marco; Anna Calveras; Johansson, Karl H.

    2014-01-01

    We propose a novel analytical model to study fragmentation methods in wireless sensor networks adopting the Constrained Application Protocol (CoAP) and the IEEE 802.15.4 standard for medium access control (MAC). The blockwise transfer technique proposed in CoAP and the 6LoWPAN fragmentation are included in the analysis. The two techniques are compared in terms of reliability and delay, depending on the traffic, the number of nodes and the parameters of the IEEE 802.15.4 MAC. The results are v...

  11. WHY FUZZY ANALYTIC HIERARCHY PROCESS APPROACH FOR TRANSPORT PROBLEMS?

    OpenAIRE

    2011-01-01

    The evaluation of transport projects has become increasingly complex. Different aspects have to be taken into account and the consequences of the problems are usually far reaching and the different policy alternatives are numerous and difficult to predict. Several pressure or action groups have also emerged causing an even more complex decision making process. The use of multi criteria analysis for the evaluation of transport projects has increased due to this increasing complexity of the pro...

  12. FIST and the Analytical Hierarchy Process: Comparative Modeling

    Science.gov (United States)

    2013-03-01

    higher capital construction costs - think Portland Cement Concrete (PCC) pavement versus asphalt pavement. PCC will cost more to install, but last...combining AHP with integer programming to optimize a portfolio of defense programs. While AHP is a stand- alone technique that derives an overall...efficiently executing a program using program management techniques (Lepore et al., 2012). Summary The DoD acquisition processes is too lengthy, costs

  13. Analytical bounds on the area spectral efficiency of uplink heterogeneous networks over generalized fading channels

    KAUST Repository

    Shakir, Muhammad

    2014-06-01

    Heterogeneous networks (HetNets) are envisioned to enable next-generation cellular networks by providing higher spectral and energy efficiency. A HetNet is typically composed of multiple radio access technologies where several low-power low-cost operators or user-deployed small-cell base stations (SBSs) complement the macrocell network. In this paper, we consider a two-tier HetNet where the SBSs are arranged around the edge of the reference macrocell such that the resultant configuration is referred to as cell-on-edge (COE). Each mobile user in a small cell is considered capable of adapting its uplink transmit power according to a location-based slow power control mechanism. The COE configuration is observed to increase the uplink area spectral efficiency (ASE) and energy efficiency while reducing the cochannel interference power. A moment-generating-function (MGF)-based approach has been exploited to derive the analytical bounds on the uplink ASE of the COE configuration. The derived expressions are generalized for any composite fading distribution, and closed-form expressions are presented for the generalized- K fading channels. Simulation results are included to support the analysis and to show the efficacy of the COE configuration. A comparative performance analysis is also provided to demonstrate the improvements in the performance of cell-edge users of the COE configuration compared with that of macro-only networks (MoNets) and other unplanned deployment strategies. © 2013 IEEE.

  14. An Analytical Approach for Optimal Clustering Architecture for Maximizing Lifetime in Large Scale Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Mr. Yogesh Rai

    2011-09-01

    Full Text Available Many methods have been researched to prolong sensor network lifetime using mobile technologies. In the mobile sink research, there are the track based methods and the anchor points based methods as representative operation methods for mobile sinks. However, the existing methods decrease Quality of Service (QoS and lead the routing hotspot in the vicinity of the mobile sink. In large scale wireless sensor networks, clustering is an effective technique for the purpose of improving the utilization of limited energy and prolonging the network lifetime. However, the problem of unbalanced energy dissipation exists in the multi-hop clustering model, where the cluster heads closer to the sink have to relay heavier traffic and consume more energy than farther nodes. In this paper we analyze several aspects based on the optimal clustering architecture for maximizing lifetime for large scale wireless sensor network. We also provide some analytical concepts for energy-aware head rotation and routing protocols to further balance the energy consumption among all nodes.

  15. Process analytical approach to translation and implications for translations teaching Process analytical approach to translation and implications for translations teaching

    Directory of Open Access Journals (Sweden)

    Wolfgang Lörscher

    2008-04-01

    Full Text Available The considerations which will be made in this paper can be located within the newly established field of translation process analysis (cf.Gerloff 1988; Jääskeläinen 1990; Krings 1986; Lörscher 1991; Séguinot 1989; Tirkkonen-Condit 1991. They are based on a research project which I have been carrying out since 1983. The aim of this project is to analyze psycholinguistically translation performance as contained in a corpus of orally produced translations from German into English and vice versa. This is done in order to reconstruct translation strategies. These underlie translation performance, operate within the translation process, and are thus not open to direct inspection. In the first stage of the project, translation processes of advanced foreign language learners were investigated. The considerations which will be made in this paper can be located within the newly established field of translation process analysis (cf.Gerloff 1988; Jääskeläinen 1990; Krings 1986; Lörscher 1991; Séguinot 1989; Tirkkonen-Condit 1991. They are based on a research project which I have been carrying out since 1983. The aim of this project is to analyze psycholinguistically translation performance as contained in a corpus of orally produced translations from German into English and vice versa. This is done in order to reconstruct translation strategies. These underlie translation performance, operate within the translation process, and are thus not open to direct inspection. In the first stage of the project, translation processes of advanced foreign language learners were investigated.

  16. Analytical solutions for transport processes fluid mechanics, heat and mass transfer

    CERN Document Server

    Brenn, Günter

    2017-01-01

    This book provides analytical solutions to a number of classical problems in transport processes, i.e. in fluid mechanics, heat and mass transfer. Expanding computing power and more efficient numerical methods have increased the importance of computational tools. However, the interpretation of these results is often difficult and the computational results need to be tested against the analytical results, making analytical solutions a valuable commodity. Furthermore, analytical solutions for transport processes provide a much deeper understanding of the physical phenomena involved in a given process than do corresponding numerical solutions. Though this book primarily addresses the needs of researchers and practitioners, it may also be beneficial for graduate students just entering the field. .

  17. Penentuan Kriteria Pemilihan Strategi Sistem Manufaktur Menggunakan Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Apriani Soepardi

    2012-01-01

    Full Text Available This paper presents the decision making process for the selection of criteria manufacturing system using AHP. The accuracy of the selection strategy is based on many criteria that termed as agility capabilities. Several influential criteria that is used in the selection are responsiveness, product quality, product cost, operator skills, and inventory. From these criteria, manufacturing responsiveness has the highest priority weight. On these criteria, the company cast metal is required to have the agility capabilities in reduction of lead-time for product development, new product introduction, and a wide variety of products. While the criteria for product quality takes places at second priority, followed by product cost, operator skill and inventory. From agility capability priorities that must be owned by the company of cast metal, the manufacturing system according to the characteristics of the organization and be able to respond appropriately to environmental changes is lean manufacturing system.

  18. Materials, processes, and environmental engineering network

    Science.gov (United States)

    White, Margo M.

    1993-01-01

    The Materials, Processes, and Environmental Engineering Network (MPEEN) was developed as a central holding facility for materials testing information generated by the Materials and Processes Laboratory. It contains information from other NASA centers and outside agencies, and also includes the NASA Environmental Information System (NEIS) and Failure Analysis Information System (FAIS) data. Environmental replacement materials information is a newly developed focus of MPEEN. This database is the NASA Environmental Information System, NEIS, which is accessible through MPEEN. Environmental concerns are addressed regarding materials identified by the NASA Operational Environment Team, NOET, to be hazardous to the environment. An environmental replacement technology database is contained within NEIS. Environmental concerns about materials are identified by NOET, and control or replacement strategies are formed. This database also contains the usage and performance characteristics of these hazardous materials. In addition to addressing environmental concerns, MPEEN contains one of the largest materials databases in the world. Over 600 users access this network on a daily basis. There is information available on failure analysis, metals and nonmetals testing, materials properties, standard and commercial parts, foreign alloy cross-reference, Long Duration Exposure Facility (LDEF) data, and Materials and Processes Selection List data.

  19. Bayesian Network Based XP Process Modelling

    Directory of Open Access Journals (Sweden)

    Mohamed Abouelela

    2010-07-01

    Full Text Available A Bayesian Network based mathematical model has been used for modelling Extreme Programmingsoftware development process. The model is capable of predicting the expected finish time and theexpected defect rate for each XP release. Therefore, it can be used to determine the success/failure of anyXP Project. The model takes into account the effect of three XP practices, namely: Pair Programming,Test Driven Development and Onsite Customer practices. The model’s predictions were validated againsttwo case studies. Results show the precision of our model especially in predicting the project finish time.

  20. Using Landscape Metrics Analysis and Analytic Hierarchy Process to Assess Water Harvesting Potential Sites in Jordan

    Directory of Open Access Journals (Sweden)

    Abeer Albalawneh

    2015-09-01

    Full Text Available Jordan is characterized as a “water scarce” country. Therefore, conserving ecosystem services such as water regulation and soil retention is challenging. In Jordan, rainwater harvesting has been adapted to meet those challenges. However, the spatial composition and configuration features of a target landscape are rarely considered when selecting a rainwater-harvesting site. This study aimed to introduce landscape spatial features into the schemes for selecting a proper water-harvesting site. Landscape metrics analysis was used to quantify 10 metrics for three potential landscapes (i.e., Watershed 104 (WS 104, Watershed 59 (WS 59, and Watershed 108 (WS 108 located in the Jordanian Badia region. Results of the metrics analysis showed that the three non–vegetative land cover types in the three landscapes were highly suitable for serving as rainwater harvesting sites. Furthermore, Analytic Hierarchy Process (AHP was used to prioritize the fitness of the three target sites by comparing their landscape metrics. Results of AHP indicate that the non-vegetative land cover in the WS 104 landscape was the most suitable site for rainwater harvesting intervention, based on its dominance, connectivity, shape, and low degree of fragmentation. Our study advances the water harvesting network design by considering its landscape spatial pattern.

  1. An Analytic Hierarchy Process Analysis: Application to Subscriber Retention Decisions in the Nigerian Mobile Telecommunications

    Directory of Open Access Journals (Sweden)

    Adebiyi Sulaimon Olanrewaju

    2015-12-01

    Full Text Available The introduction of mobile number portability (MNP in the Nigerian telecommunications industry has brought a new challenge for mobile operators. This study investigates the use of Analytic Hierarchy Process (AHP in customer retention decisions in the Nigerian telecommunication industry using a cross-sectional survey design. Primary data were obtained through questionnaires administered to 480 mobile telecommunications subscribers in six tertiary institutions located in Lagos State, Nigeria. These educational institutions were chosen using a multistage sampling technique. Of 438 questionnaires received from subscribers, 408 were valid. Based on this sample data an AHP model was built to assess the determinants of customer retention decisions. Next, eigen values, an eigen vector and maximum lambda (λMax were obtained using the AHP analysis for the matrices. This analysis shows that customers considered call quality as the important in the retention decision. We conclude that AHP is a meaningful tool for determining what motivates retention decisions, that can help network operators formulate effective customer retention strategies.

  2. Marketization of Higher Education Institute; Identifying a Set of Performance Measurements Based on Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Neda Jalaliyoon

    2014-08-01

    Full Text Available Nowadays, Higher Education is bearing significant alters. These alters are in replying to diversity factors; the expansion of information and communication technologies, globalization, internationalization and regionalization, progress network society, developing information society, socio-cultural orientations and demographical orientations. The marketization in higher education leads to change the roles of Governments. ‘Marketization’ in universities and colleges is a famous feature of the current wave of answerability. On the other hand, since there has been massive growth in the number of universities during the past decades, under the precedent of an increasing number of universities and shortage of education source, universities have to consider economic aim into their purpose to achieve profits through exposure social services. As a result, encountering the high competitive condition of students’ recruitment, all universities have to void with conservative management practice and sub it by applying implications of business operations to attain the perdurable development and permanence. The main reason of this study is to introduce the Key Performance Indicators (KPI measurement in higher education institution and determining their importance based on the opinion and experience of previous researchers. Furthermore, this study suggests a methodology to determine the weight and amount of significance of each measurer by using Analytic Hierarchy Process (AHP technique which is one of the techniques in Multi-Criteria Decision Making (MCDM. The AHP, as a reparative method, supposes full aggregation among criteria and expands a linear increasable model. The weights and scores are achieved mainly by pair wise comparisons among all options.

  3. Neural network training as a dissipative process.

    Science.gov (United States)

    Gori, Marco; Maggini, Marco; Rossi, Alessandro

    2016-09-01

    This paper analyzes the practical issues and reports some results on a theory in which learning is modeled as a continuous temporal process driven by laws describing the interactions of intelligent agents with their own environment. The classic regularization framework is paired with the idea of temporal manifolds by introducing the principle of least cognitive action, which is inspired by the related principle of mechanics. The introduction of the counterparts of the kinetic and potential energy leads to an interpretation of learning as a dissipative process. As an example, we apply the theory to supervised learning in neural networks and show that the corresponding Euler-Lagrange differential equations can be connected to the classic gradient descent algorithm on the supervised pairs. We give preliminary experiments to confirm the soundness of the theory.

  4. Competing dynamical processes on two interacting networks

    CERN Document Server

    Alvarez-Zuzek, L G; Braunstein, L A; Vazquez, F

    2016-01-01

    We propose and study a model for the competition between two different dynamical processes, one for opinion formation and the other for decision making, on two interconnected networks. The networks represent two interacting social groups, the society and the Congress. An opinion formation process takes place on the society, where the opinion S of each individual can take one of four possible values (S=-2,-1,1,2), describing its level of agreement on a given issue, from totally against (S=-2) to totally in favor (S=2). The dynamics is controlled by a reinforcement parameter r, which measures the ratio between the likelihood to become an extremist or a moderate. The dynamics of the Congress is akin to that of the Abrams-Strogatz model, where congressmen can adopt one of two possible positions, to be either in favor (+) or against (-) the issue. The probability that a congressman changes his decision is proportional to the fraction of interacting neighbors that hold the opposite opinion raised to a power $\\beta$...

  5. Inhomogeneous Poisson point process nucleation: comparison of analytical solution with cellular automata simulation

    Directory of Open Access Journals (Sweden)

    Paulo Rangel Rios

    2009-06-01

    Full Text Available Microstructural evolution in three dimensions of nucleation and growth transformations is simulated by means of cellular automata (CA. In the simulation, nuclei are located in space according to a heterogeneous Poisson point processes. The simulation is compared with exact analytical solution recently obtained by Rios and Villa supposing that the intensity is a harmonic function of the spatial coordinate. The simulated data gives very good agreement with the analytical solution provided that the correct shape factor for the growing CA grains is used. This good agreement is auspicious because the analytical expressions were derived and thus are exact only if the shape of the growing regions is spherical.

  6. Big Data Processing in Complex Hierarchical Network Systems

    CERN Document Server

    Polishchuk, Olexandr; Tyutyunnyk, Maria; Yadzhak, Mykhailo

    2016-01-01

    This article covers the problem of processing of Big Data that describe process of complex networks and network systems operation. It also introduces the notion of hierarchical network systems combination into associations and conglomerates alongside with complex networks combination into multiplexes. The analysis is provided for methods of global network structures study depending on the purpose of the research. Also the main types of information flows in complex hierarchical network systems being the basic components of associations and conglomerates are covered. Approaches are proposed for creation of efficient computing environments, distributed computations organization and information processing methods parallelization at different levels of system hierarchy.

  7. Possibilities of Utilizing the Method of Analytical Hierarchy Process Within the Strategy of Corporate Social Business

    Science.gov (United States)

    Drieniková, Katarína; Hrdinová, Gabriela; Naňo, Tomáš; Sakál, Peter

    2010-01-01

    The paper deals with the analysis of the theory of corporate social responsibility, risk management and the exact method of analytic hierarchic process that is used in the decision-making processes. The Chapters 2 and 3 focus on presentation of the experience with the application of the method in formulating the stakeholders' strategic goals within the Corporate Social Responsibility (CSR) and simultaneously its utilization in minimizing the environmental risks. The major benefit of this paper is the application of Analytical Hierarchy Process (AHP).

  8. Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review

    DEFF Research Database (Denmark)

    Simon, Levente L.; Pataki, Hajnalka; Marosi, György;

    2015-01-01

    This multiauthor review article aims to bring readers up to date with some of the current trends in the field of process analytical technology (PAT) by summarizing each aspect of the subject (sensor development, PAT based process monitoring and control methods) and presenting applications both...

  9. Communication Theoretic Data Analytics

    OpenAIRE

    Chen, Kwang-Cheng; Huang, Shao-Lun; Zheng, Lizhong; Poor, H. Vincent

    2015-01-01

    Widespread use of the Internet and social networks invokes the generation of big data, which is proving to be useful in a number of applications. To deal with explosively growing amounts of data, data analytics has emerged as a critical technology related to computing, signal processing, and information networking. In this paper, a formalism is considered in which data is modeled as a generalized social network and communication theory and information theory are thereby extended to data analy...

  10. An analytical model for evaluating outage and handover probability of cellular wireless networks

    CERN Document Server

    Decreusefond, Laurent; Vu, Than-Tung

    2010-01-01

    We consider stochastic cellular networks where base stations locations form a homogenous Poisson point process and each mobile is attached to the base station that provides the best mean signal power. The mobile is in outage if the SINR falls below some threshold. The handover decision has to be made if the mobile is in outage for some time slots. The outage probability and the handover probability is evaluated in taking into account the effect of path loss, shadowing, Rayleigh fast fading, frequency factor reuse and conventional beamforming. The main assumption is that the Rayleigh fast fading changes each time slot while other network components remain static during the period of study.

  11. A Generic Methodology for Superstructure Optimization of Different Processing Networks

    DEFF Research Database (Denmark)

    Bertran, Maria-Ona; Frauzem, Rebecca; Zhang, Lei;

    2016-01-01

    In this paper, we propose a generic computer-aided methodology for synthesis of different processing networks using superstructure optimization. The methodology can handle different network optimization problems of various application fields. It integrates databases with a common data architecture...

  12. Faith (F) and presence moment (O) in analytic processes: an example of a narcissistic disorder.

    Science.gov (United States)

    Nissen, Bernd

    2015-10-01

    Based on Freud's remark that a neurosis can not be slain in absentia, the thesis is established that presence moments constitute the central points in the analytic process. The interpenetrative dynamics between analyst and analysand creates an analytical field, in which a pre-conception is formed. This pre-conception meets the self-revealing psychic world of the patient. This realization is a moment of presence (O) and the analytic third is determined. In this moment, the presence of psychic reality is irrefutable present and can be called by name. The name, which is seen as a presentational symbol, is a creation of the analytic couple, but has its source in the genetic roots of the patient. The presentational arises from the presence, which can then become the representation. F is central in this process and is part of the analytic couple. Based on detailed case material of a narcissistic disorder it is shown that a dynamic that impresses at first narcissistic, can be understood from a different point of view as a struggle for the analytical attitude and belief (F).

  13. Aplikasi Analytical Hierarchy Process Pada Pemilihan Metode Analisis Zat Organik Dalam Air

    Directory of Open Access Journals (Sweden)

    Dino Rimantho

    2016-07-01

    Full Text Available Water is one of the food products analyzed in water chemistry and environmental laboratories. One of the parameters analyzed are organic substances. The number of samples that were not comparable with the analytical skills can cause delays in test results. Analytical Hierarchy Process applied to evaluate the analytical methods used. Alternative methods tested include titrimetric method, spectrophotometry, and total organic carbon (TOC. Respondents consisted of deputy technical manager, laboratory coordinator, and two senior analysts. Alternative results obtained are methods of TOC. Proposed improvements alternative analytical method based on the results obtained, the method of the TOC with a 10-15 minute analysis time and use of CRM to the validity of the analysis results.

  14. Residential Saudi load forecasting using analytical model and Artificial Neural Networks

    Science.gov (United States)

    Al-Harbi, Ahmad Abdulaziz

    In recent years, load forecasting has become one of the main fields of study and research. Short Term Load Forecasting (STLF) is an important part of electrical power system operation and planning. This work investigates the applicability of different approaches; Artificial Neural Networks (ANNs) and hybrid analytical models to forecast residential load in Kingdom of Saudi Arabia (KSA). These two techniques are based on model human modes behavior formulation. These human modes represent social, religious, official occasions and environmental parameters impact. The analysis is carried out on residential areas for three regions in two countries exposed to distinct people activities and weather conditions. The collected data are for Al-Khubar and Yanbu industrial city in KSA, in addition to Seattle, USA to show the validity of the proposed models applied on residential load. For each region, two models are proposed. First model is next hour load forecasting while second model is next day load forecasting. Both models are analyzed using the two techniques. The obtained results for ANN next hour models yield very accurate results for all areas while relatively reasonable results are achieved when using hybrid analytical model. For next day load forecasting, the two approaches yield satisfactory results. Comparative studies were conducted to prove the effectiveness of the models proposed.

  15. Analytical approach to the dynamics of facilitated spin models on random networks

    Science.gov (United States)

    Fennell, Peter G.; Gleeson, James P.; Cellai, Davide

    2014-09-01

    Facilitated spin models were introduced some decades ago to mimic systems characterized by a glass transition. Recent developments have shown that a class of facilitated spin models is also able to reproduce characteristic signatures of the structural relaxation properties of glass-forming liquids. While the equilibrium phase diagram of these models can be calculated analytically, the dynamics are usually investigated numerically. Here we propose a network-based approach, called approximate master equation (AME), to the dynamics of the Fredrickson-Andersen model. The approach correctly predicts the critical temperature at which the glass transition occurs. We also find excellent agreement between the theory and the numerical simulations for the transient regime, except in close proximity of the liquid-glass transition. Finally, we analytically characterize the critical clusters of the model and show that the departures between our AME approach and the Monte Carlo can be related to the large interface between blocked and unblocked spins at temperatures close to the glass transition.

  16. Study of Injection Molding Warpage Using Analytic Hierarchy Process and Taguchi Method

    Directory of Open Access Journals (Sweden)

    Dyi-Cheng Chen

    2016-10-01

    Full Text Available This study integrated Analytic Hierarchy Process and Taguchi method to investigate into injection molding warpage. The warpage important factor will be elected by Analytic Hierarchy Process (AHP, the AHP hierarchy analysis factor from documents collected and aggregate out data, then through the expert questionnaire delete low weight factor. Finally, we used Taguchi quality engineering method to decide injection molding optimized combination factors. Furthermore, the paper used injection pressure, holding pressure, holding time, mold temperature to analyze four factors, three levels Taguchi design data. Moreover, the paper discussed the reaction of each factor on the S / N ratio and analysis of variance to obtain the best combination of minimal warpage.

  17. Comparison of the Analytic Hierarchy Process and Incomplete Analytic Hierarchy Process for identifying customer preferences in the Texas retail energy provider market

    Science.gov (United States)

    Davis, Christopher

    The competitive market for retail energy providers in Texas has been in existence for 10 years. When the market opened in 2002, 5 energy providers existed, offering, on average, 20 residential product plans in total. As of January 2012, there are now 115 energy providers in Texas offering over 300 residential product plans for customers. With the increase in providers and product plans, customers can be bombarded with information and suffer from the "too much choice" effect. The goal of this praxis is to aid customers in the decision making process of identifying an energy provider and product plan. Using the Analytic Hierarchy Process (AHP), a hierarchical decomposition decision making tool, and the Incomplete Analytic Hierarchy Process (IAHP), a modified version of AHP, customers can prioritize criteria such as price, rate type, customer service, and green energy products to identify the provider and plan that best meets their needs. To gather customer data, a survey tool has been developed for customers to complete the pairwise comparison process. Results are compared for the Incomplete AHP and AHP method to determine if the Incomplete AHP method is just as accurate, but more efficient, than the traditional AHP method.

  18. Intelligent sensor networks the integration of sensor networks, signal processing and machine learning

    CERN Document Server

    Hu, Fei

    2012-01-01

    Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, incl

  19. Knowledge spillover processes as complex networks

    Science.gov (United States)

    Konno, Tomohiko

    2016-11-01

    We introduce the model of knowledge spillover on networks. Knowledge spillover is a major source of economic growth; and is a representative externality in economic phenomena. We show that the model has the following four characteristics: (1) the long-run growth rate is not relevant to the mean degree, but is determined by the mean degree of the nearest neighbors; (2) the productivity level of a firm is proportional to the degree of the firm; (3) the long-run growth rate increases with the increasing heterogeneity of the network; and (4) of three representative networks, the largest growth rate is in scale-free networks and the least in regular networks.

  20. Process Analysis in Container Shipping Network Structure Form Change

    Directory of Open Access Journals (Sweden)

    Chen Chao

    2012-03-01

    Full Text Available Being aimed at the influence of ship-size and cargo-demand changes on container shipping networks, to reveal the evolution process of container shipping networks structure form, this paper respectively designed the operation models for two major container shipping networks structure forms: Multi-port-calling network and Hub-and-spoke network, to maximizing the investment efficiency. Based on the above models, a comprehensively integrated operation model of container shipping networks is built and the evolution process of container shipping networks structure form with changing of both ship-size and cargo demands is analyzed. Finally, through a case study, results show that the comprehensive integrated operation model is very effective in the analysis of evolution process of container shipping networks structure forms.

  1. Lack of habituation of evoked visual potentials in analytic information processing style: evidence in healthy subjects.

    Science.gov (United States)

    Buonfiglio, Marzia; Toscano, M; Puledda, F; Avanzini, G; Di Clemente, L; Di Sabato, F; Di Piero, V

    2015-03-01

    Habituation is considered one of the most basic mechanisms of learning. Habituation deficit to several sensory stimulations has been defined as a trait of migraine brain and also observed in other disorders. On the other hand, analytic information processing style is characterized by the habit of continually evaluating stimuli and it has been associated with migraine. We investigated a possible correlation between lack of habituation of evoked visual potentials and analytic cognitive style in healthy subjects. According to Sternberg-Wagner self-assessment inventory, 15 healthy volunteers (HV) with high analytic score and 15 HV with high global score were recruited. Both groups underwent visual evoked potentials recordings after psychological evaluation. We observed significant lack of habituation in analytical individuals compared to global group. In conclusion, a reduced habituation of visual evoked potentials has been observed in analytic subjects. Our results suggest that further research should be undertaken regarding the relationship between analytic cognitive style and lack of habituation in both physiological and pathophysiological conditions.

  2. Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights

    Directory of Open Access Journals (Sweden)

    Wilten eNicola

    2016-02-01

    Full Text Available A fundamental question in computational neuroscience is how to connect a network of spiking neurons to produce desired macroscopic or mean field dynamics. One possible approach is through the Neural Engineering Framework (NEF. The NEF approach requires quantities called decoders which are solved through an optimization problem requiring large matrix inversion. Here, we show how a decoder can be obtained analytically for type I and certain type II firing rates as a function of the heterogeneity of its associated neuron. These decoders generate approximants for functions that converge to the desired function in mean-squared error like 1/N, where N is the number of neurons in the network. We refer to these decoders as scale-invariant decoders due to their structure. These decoders generate weights for a network of neurons through the NEF formula for weights. These weights force the spiking network to have arbitrary and prescribed mean field dynamics. The weights generated with scale-invariant decoders all lie on low dimensional hypersurfaces asymptotically. We demonstrate the applicability of these scale-invariant decoders and weight surfaces by constructing networks of spiking theta neurons that replicate the dynamics of various well known dynamical systems such as the neural integrator, Van der Pol system and the Lorenz system. As these decoders are analytically determined and non-unique, the weights are also analytically determined and non-unique. We discuss the implications for measured weights of neuronal networks

  3. Analytical estimation of laser phase noise induced BER floor in coherent receiver with digital signal processing.

    Science.gov (United States)

    Vanin, Evgeny; Jacobsen, Gunnar

    2010-03-01

    The Bit-Error-Ratio (BER) floor caused by the laser phase noise in the optical fiber communication system with differential quadrature phase shift keying (DQPSK) and coherent detection followed by digital signal processing (DSP) is analytically evaluated. An in-phase and quadrature (I&Q) receiver with a carrier phase recovery using DSP is considered. The carrier phase recovery is based on a phase estimation of a finite sum (block) of the signal samples raised to the power of four and the phase unwrapping at transitions between blocks. It is demonstrated that errors generated at block transitions cause the dominating contribution to the system BER floor when the impact of the additive noise is negligibly small in comparison with the effect of the laser phase noise. Even the BER floor in the case when the phase unwrapping is omitted is analytically derived and applied to emphasize the crucial importance of this signal processing operation. The analytical results are verified by full Monte Carlo simulations. The BER for another type of DQPSK receiver operation, which is based on differential phase detection, is also obtained in the analytical form using the principle of conditional probability. The principle of conditional probability is justified in the case of differential phase detection due to statistical independency of the laser phase noise induced signal phase error and the additive noise contributions. Based on the achieved analytical results the laser linewidth tolerance is calculated for different system cases.

  4. Extreme Value Estimates for Arbitrary Bandwidth Gaussian Processes Using the Analytic Envelope.

    Science.gov (United States)

    1984-03-01

    Dugundji 1.) This envelope is defined by using the Hilbert transform. In a recent paper by Rice15 this envelope is called the analytic envelope. 5 tI...Processes for Envelopes of Normal Noise," IRE Transactions on Information Theory, Vol. IT-3, p. 204 (Sept 1957). 14. Dugundji , J., "Envelopes and Pre

  5. 75 FR 13766 - Food and Drug Administration and Process Analytical Technology for Pharma Manufacturing: Food and...

    Science.gov (United States)

    2010-03-23

    ... HUMAN SERVICES Food and Drug Administration Food and Drug Administration and Process Analytical Technology for Pharma Manufacturing: Food and Drug Administration--Partnering With Industry; Public Conference AGENCY: Food and Drug Administration, HHS. ACTION: Notice of public conference. The Food and...

  6. The Use of the Analytic Hierarchy Process to Aid Decision Making in Acquired Equinovarus Deformity

    NARCIS (Netherlands)

    Til, van J.A.; Renzenbrink, G.J.; Dolan, J.G.; IJzerman, M.J.

    2008-01-01

    Objective: To increase the transparency of decision making about treatment in patients with equinovarus deformity poststroke. - Design: The analytic hierarchy process (AHP) was used as a structured methodology to study the subjective rationale behind choice of treatment. - Setting: An 8-hour meeting

  7. Defining desired genetic gains for rainbow trout breeding objective using analytic hierarchy process

    NARCIS (Netherlands)

    Sae-Lim, P.; Komen, J.; Kause, A.; Arendonk, van J.A.M.; Barfoot, A.J.; Martin, K.E.; Parsons, A.J.

    2012-01-01

    Distributing animals from a single breeding program to a global market may not satisfy all producers, as they may differ in market objectives and farming environments. Analytic hierarchy process (AHP) is used to estimate preferences, which can be aggregated to consensus preference values using weigh

  8. PP1 - A systematic review of the analytic hierarchy process in health care decision making

    NARCIS (Netherlands)

    Hummel, J.M.; IJzerman, M.

    2009-01-01

    OBJECTIVES: The analytic hierarchy process (AHP), a technique for multi-criteria decision analysis, is increasingly being used to support health care decision making. These decisions mainly relate to the application and coverage of health care technologies, and its use as a patient-reported outcome

  9. Group Decision Making with the Analytic Hierarchy Process in Benefit-Risk Assessment: A Tutorial

    NARCIS (Netherlands)

    Hummel, J. Marjan; Bridges, John F.P.; IJzerman, Maarten J.

    2014-01-01

    The analytic hierarchy process (AHP) has been increasingly applied as a technique for multi-criteria decision analysis in healthcare. The AHP can aid decision makers in selecting the most valuable technology for patients, while taking into account multiple, and even conflicting, decision criteria. T

  10. Evaluating the Effectiveness of the Chemistry Education by Using the Analytic Hierarchy Process

    Science.gov (United States)

    Yüksel, Mehmet

    2012-01-01

    In this study, an attempt was made to develop a method of measurement and evaluation aimed at overcoming the difficulties encountered in the determination of the effectiveness of chemistry education based on the goals of chemistry education. An Analytic Hierarchy Process (AHP), which is a multi-criteria decision technique, is used in the present…

  11. Applying Analytical Derivative and Sparse Matrix Techniques to Large-Scale Process Optimization Problems

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    The performance of analytical derivative and sparse matrix techniques applied to a traditional densesequential quadratic programming(SQP) is studied, and the strategy utilizing those techniques is also presented. Computational results on two typicalchemical optimization problems demonstrate significant enhancement in efficiency, which shows this strategy ispromising and suitable for large-scale process optimization problems.

  12. Inline monitoring of CO2 absorption processes using simple analytical techniques and multivariate modeling

    NARCIS (Netherlands)

    Ham, L.V. van der; Bakker, D.E.; Geers, L.F.G.; Goetheer, E.L.V.

    2014-01-01

    The solvent and the dissolved CO2 concentrations are two essential properties of CO2 absorption processes. Currently, they are typically monitored using time-consuming offline analytical techniques. Initial development efforts aiming at a cost-effective and reliable inline monitoring system are desc

  13. Pre-processing for Triangulation of Probabilistic Networks

    NARCIS (Netherlands)

    Bodlaender, H.L.; Koster, A.M.C.A.; Eijkhof, F. van den; Gaag, L.C. van der

    2001-01-01

    The currently most efficient algorithm for inference with a probabilistic network builds upon a triangulation of a networks graph. In this paper, we show that pre-processing can help in finding good triangulations for probabilistic networks, that is, triangulations with a minimal maximum clique

  14. Assessment of Matrix Multiplication Learning with a Rule-Based Analytical Model--"A Bayesian Network Representation"

    Science.gov (United States)

    Zhang, Zhidong

    2016-01-01

    This study explored an alternative assessment procedure to examine learning trajectories of matrix multiplication. It took rule-based analytical and cognitive task analysis methods specifically to break down operation rules for a given matrix multiplication. Based on the analysis results, a hierarchical Bayesian network, an assessment model,…

  15. Exploratory Visual Analytics of a Dynamically Built Network of Nodes in a WebGL-Enabled Browser

    Science.gov (United States)

    2014-01-01

    Approved for public release; distribution is unlimited. 13. SUPPLEMENTARY NOTES 14. ABSTRACT This report describes an extensible hypertext markup...analytics capability has been done in a WebGL-enabled browser. Gaming technology has been further strengthened by update of the hypertext markup language...Nodes 8 The following extensible hypertext markup language (XHTML) example builds a 26-node network. The code is

  16. Sensitivity analysis of a branching process evolving on a network with application in epidemiology

    CERN Document Server

    Hautphenne, Sophie; Delvenne, Jean-Charles; Blondel, Vincent D

    2015-01-01

    We perform an analytical sensitivity analysis for a model of a continuous-time branching process evolving on a fixed network. This allows us to determine the relative importance of the model parameters to the growth of the population on the network. We then apply our results to the early stages of an influenza-like epidemic spreading among a set of cities connected by air routes in the United States. We also consider vaccination and analyze the sensitivity of the total size of the epidemic with respect to the fraction of vaccinated people. Our analysis shows that the epidemic growth is more sensitive with respect to transmission rates within cities than travel rates between cities. More generally, we highlight the fact that branching processes offer a powerful stochastic modeling tool with analytical formulas for sensitivity which are easy to use in practice.

  17. Application of a high-throughput process analytical technology metabolomics pipeline to Port wine forced ageing process

    OpenAIRE

    2014-01-01

    Metabolomics aims at gathering the maximum amount of metabolic information for a total interpretation of biological systems. A process analytical technology pipeline, combining gas chromatography–mass spectrometry data preprocessing with multivariate analysis, was applied to a Port wine “forced ageing” process under different oxygen saturation regimes at 60 °C. It was found that extreme “forced ageing” conditions promote the occurrence of undesirable chemical reactions by production of di...

  18. Some Notes on Inconsistence and Indecisiveness in the Analytic Hierarchy Process

    OpenAIRE

    Jiri, Mazurek

    2012-01-01

    The aim of the article is to introduce a mathematical concept of indecisiveness into the analytic hierarchy process (AHP) framework. Indecisiveness can be useful in two ways: first, decision makers with high indecisiveness (higher than a given threshold value) can be excluded from a decision making process in its early stages as low-competent and replaced by other, more competent DMs; second, indecisiveness along with consistency index C.I. can be used for the calculation of (aposteriori) DMs...

  19. What makes us think? A three-stage dual-process model of analytic engagement.

    Science.gov (United States)

    Pennycook, Gordon; Fugelsang, Jonathan A; Koehler, Derek J

    2015-08-01

    The distinction between intuitive and analytic thinking is common in psychology. However, while often being quite clear on the characteristics of the two processes ('Type 1' processes are fast, autonomous, intuitive, etc. and 'Type 2' processes are slow, deliberative, analytic, etc.), dual-process theorists have been heavily criticized for being unclear on the factors that determine when an individual will think analytically or rely on their intuition. We address this issue by introducing a three-stage model that elucidates the bottom-up factors that cause individuals to engage Type 2 processing. According to the model, multiple Type 1 processes may be cued by a stimulus (Stage 1), leading to the potential for conflict detection (Stage 2). If successful, conflict detection leads to Type 2 processing (Stage 3), which may take the form of rationalization (i.e., the Type 1 output is verified post hoc) or decoupling (i.e., the Type 1 output is falsified). We tested key aspects of the model using a novel base-rate task where stereotypes and base-rate probabilities cued the same (non-conflict problems) or different (conflict problems) responses about group membership. Our results support two key predictions derived from the model: (1) conflict detection and decoupling are dissociable sources of Type 2 processing and (2) conflict detection sometimes fails. We argue that considering the potential stages of reasoning allows us to distinguish early (conflict detection) and late (decoupling) sources of analytic thought. Errors may occur at both stages and, as a consequence, bias arises from both conflict monitoring and decoupling failures.

  20. Towards Business Process Management in networked ecosystems

    NARCIS (Netherlands)

    Grondelle, Jeroen; Zoet, Martijn; Versendaal, Johan

    2014-01-01

    Managing and supporting the collaboration between different actors is key in any organizational context, whether of a hierarchical or a networked nature. In the networked context of ecosystems of service providers and other stakeholders, BPM is faced with different challenges than in a conventional

  1. Streamlining the analytical workflow for multiplex MS/MS allergen detection in processed foods.

    Science.gov (United States)

    Pilolli, Rosa; De Angelis, Elisabetta; Monaci, Linda

    2017-04-15

    Allergenic ingredients in pre-packaged foods are regulated by EU legislation mandating their inclusion on labels. In order to protect allergic consumers, sensitive analytical methods are required for detect allergen traces in different food products. As a follow-up to our previous investigations, an optimized, sensitive, label-free LC-MS/MS method for multiplex detection of five allergenic ingredients in a processed food matrix is proposed. A cookie base was chosen as a complex food matrix and home-made cookies incurred with whole egg, skimmed milk, soy flour, ground hazelnut and ground peanut were prepared at laboratory scale. In order to improve the analytical workflow both protein extraction and purification protocols were optimized and finally a sensitive streamlined SRM based analytical method for allergens detection in incurred cookies was devised. The effect of baking on the detection of selected markers was also investigated.

  2. Synthesis and Design of Integrated Process and Water Networks

    DEFF Research Database (Denmark)

    2015-01-01

    possible options with respect to the topology of the process and water networks, leading to Mixed Integer Non Linear Programming (MINLP) problem. A solution strategy to solve the multi-network problem accounts explicitly the interactions between the networks by selecting suitable technologies in order...... to transform raw materials into products and produce clean water to be reused in the process at the early stage of design. Since the connection between the process network and the wastewater treatment network is not a straight forward connection, a new converter interval is introduced in order to convert...... the values of contaminants in the wastewater stream into wastewater characterizations. The systematic approach is used to manage the complexity of the problem by solving simultaneously process synthesis and water synthesis network problems with respect to environment, economics and sustainability...

  3. A semi-analytical model for the flow behavior of naturally fractured formations with multi-scale fracture networks

    Science.gov (United States)

    Jia, Pin; Cheng, Linsong; Huang, Shijun; Wu, Yonghui

    2016-06-01

    This paper presents a semi-analytical model for the flow behavior of naturally fractured formations with multi-scale fracture networks. The model dynamically couples an analytical dual-porosity model with a numerical discrete fracture model. The small-scale fractures with the matrix are idealized as a dual-porosity continuum and an analytical flow solution is derived based on source functions in Laplace domain. The large-scale fractures are represented explicitly as the major fluid conduits and the flow is numerically modeled, also in Laplace domain. This approach allows us to include finer details of the fracture network characteristics while keeping the computational work manageable. For example, the large-scale fracture network may have complex geometry and varying conductivity, and the computations can be done at predetermined, discrete times, without any grids in the dual-porosity continuum. The validation of the semi-analytical model is demonstrated in comparison to the solution of ECLIPSE reservoir simulator. The simulation is fast, gridless and enables rapid model setup. On the basis of the model, we provide detailed analysis of the flow behavior of a horizontal production well in fractured reservoir with multi-scale fracture networks. The study has shown that the system may exhibit six flow regimes: large-scale fracture network linear flow, bilinear flow, small-scale fracture network linear flow, pseudosteady-state flow, interporosity flow and pseudoradial flow. During the first four flow periods, the large-scale fracture network behaves as if it only drains in the small-scale fracture network; that is, the effect of the matrix is negligibly small. The characteristics of the bilinear flow and the small-scale fracture network linear flow are predominantly determined by the dimensionless large-scale fracture conductivity. And low dimensionless fracture conductivity will generate large pressure drops in the large-scale fractures surrounding the wellbore. With

  4. The power of event-driven analytics in Large Scale Data Processing

    CERN Document Server

    CERN. Geneva; Marques, Paulo

    2011-01-01

    FeedZai is a software company specialized in creating high-­‐throughput low-­‐latency data processing solutions. FeedZai develops a product called "FeedZai Pulse" for continuous event-­‐driven analytics that makes application development easier for end users. It automatically calculates key performance indicators and baselines, showing how current performance differ from previous history, creating timely business intelligence updated to the second. The tool does predictive analytics and trend analysis, displaying data on real-­‐time web-­‐based graphics. In 2010 FeedZai won the European EBN Smart Entrepreneurship Competition, in the Digital Models category, being considered one of the "top-­‐20 smart companies in Europe". The main objective of this seminar/workshop is to explore the topic for large-­‐scale data processing using Complex Event Processing and, in particular, the possible uses of Pulse in...

  5. POISSON TRAFFIC PROCESSES IN PURE JUMP MARKOV PROCESSES AND GENERALIZED NETWORKS

    Institute of Scientific and Technical Information of China (English)

    CAO Chengxuan; XU Guanghui

    2001-01-01

    In this paper, we present the conditions under which the traffic processes in a pure jump Markov process with a general state space are Poisson processes, and give a simple proof of PASTA type theorem in Melamed (1982) and Walrand (1988).Furthermore, we consider a generalized network with phase type negative arrivals and show that the network has a product-form invariant distribution and its traffic processes which represent the customers exiting from the network are Poisson processes.

  6. Self-Organization of Weighted Networks in Connection with the Misanthrope Process

    Institute of Scientific and Technical Information of China (English)

    MENG Qing-Kuan; ZHU Jian-Yang

    2009-01-01

    From an undirected random graph,by the weight redistribution of the edges,we obtain a weighted network.The weight redistribution of the edges can be connected to the well-known Misanthrope process,in which distinguishable particles hop among different urns.Under specific conditions,the condensation phenomena can be observed,i.e.,nearly all the edges connect to one vertex in the network.When there is no condensation,by adjusting the parameters,the strength distribution can be scale-free or exponentially decreasing.The numerical results fit well with the analytical ones.

  7. Network Traffic Analysis With Query Driven VisualizationSC 2005HPC Analytics Results

    Energy Technology Data Exchange (ETDEWEB)

    Stockinger, Kurt; Wu, Kesheng; Campbell, Scott; Lau, Stephen; Fisk, Mike; Gavrilov, Eugene; Kent, Alex; Davis, Christopher E.; Olinger,Rick; Young, Rob; Prewett, Jim; Weber, Paul; Caudell, Thomas P.; Bethel,E. Wes; Smith, Steve

    2005-09-01

    Our analytics challenge is to identify, characterize, and visualize anomalous subsets of large collections of network connection data. We use a combination of HPC resources, advanced algorithms, and visualization techniques. To effectively and efficiently identify the salient portions of the data, we rely on a multi-stage workflow that includes data acquisition, summarization (feature extraction), novelty detection, and classification. Once these subsets of interest have been identified and automatically characterized, we use a state-of-the-art-high-dimensional query system to extract data subsets for interactive visualization. Our approach is equally useful for other large-data analysis problems where it is more practical to identify interesting subsets of the data for visualization than to render all data elements. By reducing the size of the rendering workload, we enable highly interactive and useful visualizations. As a result of this work we were able to analyze six months worth of data interactively with response times two orders of magnitude shorter than with conventional methods.

  8. Fast radiative transfer of dust reprocessing in semi-analytic models with artificial neural networks

    CERN Document Server

    Silva, Laura; Granato, Gian Luigi

    2012-01-01

    A serious concern for semi-analytical galaxy formation models, aiming to simulate multi-wavelength surveys and to thoroughly explore the model parameter space, is the extremely time consuming numerical solution of the radiative transfer of stellar radiation through dusty media. To overcome this problem, we have implemented an artificial neural network algorithm in the radiative transfer code GRASIL, in order to significantly speed up the computation of the infrared SED. The ANN we have implemented is of general use, in that its input neurons are defined as those quantities effectively determining the shape of the IR SED. Therefore, the training of the ANN can be performed with any model and then applied to other models. We made a blind test to check the algorithm, by applying a net trained with a standard chemical evolution model (i.e. CHE_EVO) to a mock catalogue extracted from the SAM MORGANA, and compared galaxy counts and evolution of the luminosity functions in several near-IR to sub-mm bands, and also t...

  9. Analytical Solutions for Rumor Spreading Dynamical Model in a Social Network

    Science.gov (United States)

    Fallahpour, R.; Chakouvari, S.; Askari, H.

    2015-03-01

    In this paper, Laplace Adomian decomposition method is utilized for evaluating of spreading model of rumor. Firstly, a succinct review is constructed on the subject of using analytical methods such as Adomian decomposion method, Variational iteration method and Homotopy Analysis method for epidemic models and biomathematics. In continue a spreading model of rumor with consideration of forgetting mechanism is assumed and subsequently LADM is exerted for solving of it. By means of the aforementioned method, a general solution is achieved for this problem which can be readily employed for assessing of rumor model without exerting any computer program. In addition, obtained consequences for this problem are discussed for different cases and parameters. Furthermore, it is shown the method is so straightforward and fruitful for analyzing equations which have complicated terms same as rumor model. By employing numerical methods, it is revealed LADM is so powerful and accurate for eliciting solutions of this model. Eventually, it is concluded that this method is so appropriate for this problem and it can provide researchers a very powerful vehicle for scrutinizing rumor models in diverse kinds of social networks such as Facebook, YouTube, Flickr, LinkedIn and Tuitor.

  10. Further results in multiset processing with neural networks.

    Science.gov (United States)

    McGregor, Simon

    2008-08-01

    This paper presents new experimental results on the variadic neural network (VNN) [McGregor, S. (2007). Neural network processing for multiset data. In Proceedings: Vol. 4668. Artificial neural networks - ICANN 2007, 17th international conference (pp. 460-470). Springer]. The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n is fixed, and the function computed by the network is unaffected by permutation of the inputs. This paper describes improvements in the training algorithm for the variadic perceptron, based on a constructive cascade topology, and performance of the improved networks on geometric problems inspired by vector graphics. Further development may allow practical application of these or similar networks to vector graphics processing and statistical analysis.

  11. Social Networks in Software Process Improvement

    DEFF Research Database (Denmark)

    Nielsen, Peter Axel; Tjørnehøj, Gitte

    2010-01-01

    . In the action research we have applied the framework of social network analysis and we show this can be used to understand the underlying structures of communication and knowledge sharing between software developers and managers. We show in detail how the analysis can be done and how the management can utilise...... the findings. From this we conclude that social network analysis was a useful framework together with accompanying tools and techniques. Copyright © 2009 John Wiley & Sons, Ltd....

  12. Raman spectroscopy as a process analytical technology for pharmaceutical manufacturing and bioprocessing.

    Science.gov (United States)

    Esmonde-White, Karen A; Cuellar, Maryann; Uerpmann, Carsten; Lenain, Bruno; Lewis, Ian R

    2017-01-01

    Adoption of Quality by Design (QbD) principles, regulatory support of QbD, process analytical technology (PAT), and continuous manufacturing are major factors effecting new approaches to pharmaceutical manufacturing and bioprocessing. In this review, we highlight new technology developments, data analysis models, and applications of Raman spectroscopy, which have expanded the scope of Raman spectroscopy as a process analytical technology. Emerging technologies such as transmission and enhanced reflection Raman, and new approaches to using available technologies, expand the scope of Raman spectroscopy in pharmaceutical manufacturing, and now Raman spectroscopy is successfully integrated into real-time release testing, continuous manufacturing, and statistical process control. Since the last major review of Raman as a pharmaceutical PAT in 2010, many new Raman applications in bioprocessing have emerged. Exciting reports of in situ Raman spectroscopy in bioprocesses complement a growing scientific field of biological and biomedical Raman spectroscopy. Raman spectroscopy has made a positive impact as a process analytical and control tool for pharmaceutical manufacturing and bioprocessing, with demonstrated scientific and financial benefits throughout a product's lifecycle.

  13. Site selection for Handy Craft Market in South Khorasan Province Using Analytical Hierarchy Process (AHP

    Directory of Open Access Journals (Sweden)

    M. Karami

    2013-01-01

    and unmistakable method (Fernandez, 2009.3– DiscussionThe process of selecting optimal spots to locate the handicrafts market in South Khorasan ProvinceThe first stage in locating markets of handicrafts in South Khorasan Province includes establishing hierarchy, weighting and selecting, which is described as follow:Establishing hierarchyCreating a graphic display is the first stage in the process of hierarchical analysis, in which, the objectives, criteria and options are showed (Ramanathan, 2001. Figure 1 shows hierarchical choices of suitable townships in order of priority for locating handicraft markets over the province. The criteria include:Criterion 1: employees of handicraft industry and its conditionCriterion 2: enjoying tourism and cultural relics to locate the marketCriterion 3: general condition of employment in the provinceCriterion 4: population and the number of rural and urban spotsCriterion 5: enjoying surface structures (education centers, schools, health centers and etc.Criterion 6: condition of the number of the incomer tourists of the townshipCriterion 7: Having AirportCriterion 8: Networks and routesCriterion 9: Enjoying border market and customsCriterion 10: industrial prosperity Table1. Binary comparison of the criteria and indicating their priorityCriterion priorityGeometric mean10987654321Criterion0/293/873662765210/182/294233143320/070/8422111/32130/050/6311/2111/3140/040/5611/2111/350/151/99423360/050/6311/2170/050/6311/280/080/03290/290/5410Table 2. Indicating final priority of the townships to establish markets for handicraft Industry in the provinceTownship criterion1th criterion2th criterion3th criterion4th criterion5th criterion6th criterion7th criterion8th criterion9th criterion10th criterionImportance rateFinal priorityBirjand0/1490/0770/0360/0260/020/0640/030/0060/0350/0190/6445/7Gayenat0/060/0320/0140/0110/0090/0270/0030/0140/0210/0070/219/7Ferdos0/0310/0320/0070/0050/0040/0270/0030/0060/0030/0030/122/12Sarayan0/0130

  14. MULTIPLE CRITERA METHODS WITH FOCUS ON ANALYTIC HIERARCHY PROCESS AND GROUP DECISION MAKING

    Directory of Open Access Journals (Sweden)

    Lidija Zadnik-Stirn

    2010-12-01

    Full Text Available Managing natural resources is a group multiple criteria decision making problem. In this paper the analytic hierarchy process is the chosen method for handling the natural resource problems. The one decision maker problem is discussed and, three methods: the eigenvector method, data envelopment analysis method, and logarithmic least squares method are presented for the derivation of the priority vector. Further, the group analytic hierarchy process is discussed and six methods for the aggregation of individual judgments or priorities: weighted arithmetic mean method, weighted geometric mean method, and four methods based on data envelopment analysis are compared. The case study on land use in Slovenia is applied. The conclusions review consistency, sensitivity analyses, and some future directions of research.

  15. The Use of Programming Languages on the Final Project Report by Using Analytical Hierarchy Process (AHP

    Directory of Open Access Journals (Sweden)

    Juhartini

    2015-09-01

    Full Text Available The development in information technology provides a lot of convenience for everyone. Academy of Information Management and Computer (AIMC students of the fourth semester, implementing the Job Training must specify the type of programming that will be used as a Final Project Report. The study assessed five types of programming language by using the approach of Analytical Hierarchy Process (AHP to obtain information on the programming language that has the quality or better rating than 5 programming languages is based on the parameters. Analytical Hierarchy Process (AHP is one way in determining or making a decision that are multi-criteria or multi-objective such as choosing the programming language for the Student Information Management at the Academy of Information Management and Computer (AIMC. Programming language based on five criteria consisting of Clarity, Simplicity, and unity; Orthogonality; Fairness for Applications; Supports Abstraction; Environment Program; and Portability Program.

  16. A micro-process analysis of Functional Analytic Psychotherapy's mechanism of change.

    Science.gov (United States)

    Busch, Andrew M; Kanter, Jonathan W; Callaghan, Glenn M; Baruch, David E; Weeks, Cristal E; Berlin, Kristoffer S

    2009-09-01

    This study sought to clarify the micro-process of Functional Analytic Psychotherapy (FAP) by using the Functional Analytic Psychotherapy Rating Scale (FAPRS) to code every client and therapist turn of speech over the course of successful treatment of an individual meeting diagnostic criteria for depression and histrionic personality disorder. Treatment consisted of cognitive behavioral therapy alone followed by the addition of FAP techniques in a unique A / A+B design. In-session client behavior improved following the shift to FAP techniques, and micro-process data suggested that client behavior was effectively shaped by in-vivo FAP procedures. These results support FAP's purported mechanisms of change and highlight the advantages of utilizing molecular coding systems to explore these mechanisms.

  17. Process analysis of two-layered tube hydroforming with analytical and experimental verification

    Energy Technology Data Exchange (ETDEWEB)

    Seyedkashi, S. M. Hossein [The University of Birjand, Birjand (Iran, Islamic Republic of); Panahizadeh R, Valiollah [Shahid Rajaee Teacher Training University, Tehran (Iran, Islamic Republic of); Xu, Haibin; Kim, Sang Yun; Moon, Young Hoon [Pusan National University, Busan (Korea, Republic of)

    2013-01-15

    Two-layered tubular joints are suitable for special applications. Designing and manufacturing of two layered components require enough knowledge about the tube material behavior during the hydroforming process. In this paper, hydroforming of two-layered tubes is investigated analytically, and the results are verified experimentally. The aim of this study is to derive an analytical model which can be used in the process design. Fundamental equations are written for both of the outer and inner tubes, and the total forming pressure is obtained from these equations. Hydroforming experiments are carried out on two different combinations of materials for inner and outer tubes; case 1: copper/aluminum and case 2: carbon steel/stainless steel. It is observed that experimental results are in good agreement with the theoretical model obtained for estimation of forming pressure able to avoid wrinkling.

  18. Neural networks in windprofiler data processing

    Science.gov (United States)

    Weber, H.; Richner, H.; Kretzschmar, R.; Ruffieux, D.

    2003-04-01

    Wind profilers are basically Doppler radars yielding 3-dimensional wind profiles that are deduced from the Doppler shift caused by turbulent elements in the atmosphere. These signals can be contaminated by other airborne elements such as birds or hydrometeors. Using a feed-forward neural network with one hidden layer and one output unit, birds and hydrometeors can be successfully identified in non-averaged single spectra; theses are subsequently removed in the wind computation. An infrared camera was used to identify birds in one of the beams of the wind profiler. After training the network with about 6000 contaminated data sets, it was able to identify contaminated data in a test data set with a reliability of 96 percent. The assumption was made that the neural network parameters obtained in the beam for which bird data was collected can be transferred to the other beams (at least three beams are needed for computing wind vectors). Comparing the evolution of a wind field with and without the neural network shows a significant improvement of wind data quality. Current work concentrates on training the network also for hydrometeors. It is hoped that the instrument's capability can thus be expanded to measure not only correct winds, but also observe bird migration, estimate precipitation and -- by combining precipitation information with vertical velocity measurement -- the monitoring of the height of the melting layer.

  19. The Technique of Building a Networked Manufacturing Process Monitoring System

    Institute of Scientific and Technical Information of China (English)

    XIE Yong; ZHANG Yu; YANG Musheng

    2006-01-01

    This paper introduces the constitute, structure and the software model of a set of networked manufacturing process monitoring system, using JAVA network technique to realize a set of three layer distributed manufacturing process monitoring system which is comprised with remote manage center, manufacturing process supervision center and the units of measure and control layer such as displacement sensor, the device of temperature measure and alarm etc. The network integration of the production management layer, the process control layer and the hard ware control layer is realized via using this approach. The design using object-oriented technique based on JAVA can easily transport to different operation systems with high performance of the expansibility.

  20. A novel neural network for the prediction of process variables

    Institute of Scientific and Technical Information of China (English)

    赵晓光; 陈丙珍; 何小荣

    1995-01-01

    A novel neural network, which forms a complex function in whole via multiple compounding of simple quadratic functions is presented. Generally, it approximates a process relationship by complicated polynomials. In practical problems, quite a lot of processes exhibit a polynomial relation, and within a certain range, processes without polynomial relations can also be approximated completely by polynomials. Therefore, this network can predict process variables more accurately. Theoretically, it can approximate any continuous functions. In this artide this network is investigated and its characteristics are analysed, then some examples to demonstrate its efficiency are presented.

  1. A formalism for evaluating analytically the cross-correlation structure of a firing-rate network model.

    Science.gov (United States)

    Fasoli, Diego; Faugeras, Olivier; Panzeri, Stefano

    2015-01-01

    We introduce a new formalism for evaluating analytically the cross-correlation structure of a finite-size firing-rate network with recurrent connections. The analysis performs a first-order perturbative expansion of neural activity equations that include three different sources of randomness: the background noise of the membrane potentials, their initial conditions, and the distribution of the recurrent synaptic weights. This allows the analytical quantification of the relationship between anatomical and functional connectivity, i.e. of how the synaptic connections determine the statistical dependencies at any order among different neurons. The technique we develop is general, but for simplicity and clarity we demonstrate its efficacy by applying it to the case of synaptic connections described by regular graphs. The analytical equations so obtained reveal previously unknown behaviors of recurrent firing-rate networks, especially on how correlations are modified by the external input, by the finite size of the network, by the density of the anatomical connections and by correlation in sources of randomness. In particular, we show that a strong input can make the neurons almost independent, suggesting that functional connectivity does not depend only on the static anatomical connectivity, but also on the external inputs. Moreover we prove that in general it is not possible to find a mean-field description à la Sznitman of the network, if the anatomical connections are too sparse or our three sources of variability are correlated. To conclude, we show a very counterintuitive phenomenon, which we call stochastic synchronization, through which neurons become almost perfectly correlated even if the sources of randomness are independent. Due to its ability to quantify how activity of individual neurons and the correlation among them depends upon external inputs, the formalism introduced here can serve as a basis for exploring analytically the computational capability of

  2. Using neural networks for dynamic light scattering time series processing

    Science.gov (United States)

    Chicea, Dan

    2017-04-01

    A basic experiment to record dynamic light scattering (DLS) time series was assembled using basic components. The DLS time series processing using the Lorentzian function fit was considered as reference. A Neural Network was designed and trained using simulated frequency spectra for spherical particles in the range 0–350 nm, assumed to be scattering centers, and the neural network design and training procedure are described in detail. The neural network output accuracy was tested both on simulated and on experimental time series. The match with the DLS results, considered as reference, was good serving as a proof of concept for using neural networks in fast DLS time series processing.

  3. Defining desired genetic gains for rainbow trout breeding objective using analytic hierarchy process

    OpenAIRE

    2012-01-01

    Distributing animals from a single breeding program to a global market may not satisfy all producers, as they may differ in market objectives and farming environments. Analytic hierarchy process (AHP) is used to estimate preferences, which can be aggregated to consensus preference values using weighted goal programming (WGP). The aim of this study was to use an AHP-WGP based approach to derive desired genetic gains for rainbow trout breeding, and to study whether breeding trait preferences va...

  4. [Preliminary Study on Error Control of Medical Devices Test Reports Based on the Analytic Hierarchy Process].

    Science.gov (United States)

    Huang, Yanhong; Xu, Honglei; Tu, Rong; Zhang, Xu; Huang, Min

    2016-01-01

    In this paper, the common errors in medical devices test reports are classified and analyzed. And then the main 11 influence factors for these inspection report errors are summarized. The hierarchy model was also developed and verified by presentation data using MATLAB. The feasibility of comprehensive weights quantitative comparison has been analyzed by using the analytic hierarchy process. In the end, this paper porspects the further research direction.

  5. Assessment of Effects of Green Construction by Analytic Hierarchy Process and Fuzzy Synthetic Judgment Method

    Institute of Scientific and Technical Information of China (English)

    SHEN Qi-yu; LI Hui-qiang

    2008-01-01

    The index system, code system, and weights of indexes are established to assess the effects of green construction. The index system consists of index level, factor level and sub-factor level. The analytic hierarchy process is used to determine the weights of indexes, and the consistency test indicate that the weight assignment is reasonable. Using fuzzy synthetic judgment method, the assessment model is built, which includes factor set, weight set and conclusion set. An example is given to demonstrate the assessment procedures.

  6. An Analytic Hierarchy Process (AHP) Approach to Port Selection Decisions – Empirical Evidence from Nigerian Ports

    OpenAIRE

    Chinonye Ugboma; Ogochukwu Ugboma; Innocent C Ogwude

    2006-01-01

    This study presents the findings of a survey to determine the service characteristics that shippers consider important when selecting a port and the way these characteristics are prioritised according to their importance. Seven criteria for the port selection decision and four ports were identified, and the decision problem was structured into a three-level hierarchy using the Analytic Hierarchy Process. The findings suggest that shippers place high emphasis on efficiency, frequency of ship v...

  7. An analytical method for determining the temperature dependent moisture diffusivities of pumpkin seeds during drying process

    Energy Technology Data Exchange (ETDEWEB)

    Can, Ahmet [Department of Mechanical Engineering, University of Trakya, 22030 Edirne (Turkey)

    2007-02-15

    This paper presents an analytical method, which determines the moisture diffusion coefficients for the natural and forced convection hot air drying of pumpkin seeds and their temperature dependence. In order to obtain scientific data, the pumpkin seed drying process was investigated under both natural and forced hot air convection regimes. This paper presents the experimental results in which the drying air was heated by solar energy. (author)

  8. Large-scale analytical Fourier transform of photomask layouts using graphics processing units

    Science.gov (United States)

    Sakamoto, Julia A.

    2015-10-01

    Compensation of lens-heating effects during the exposure scan in an optical lithographic system requires knowledge of the heating profile in the pupil of the projection lens. A necessary component in the accurate estimation of this profile is the total integrated distribution of light, relying on the squared modulus of the Fourier transform (FT) of the photomask layout for individual process layers. Requiring a layout representation in pixelated image format, the most common approach is to compute the FT numerically via the fast Fourier transform (FFT). However, the file size for a standard 26- mm×33-mm mask with 5-nm pixels is an overwhelming 137 TB in single precision; the data importing process alone, prior to FFT computation, can render this method highly impractical. A more feasible solution is to handle layout data in a highly compact format with vertex locations of mask features (polygons), which correspond to elements in an integrated circuit, as well as pattern symmetries and repetitions (e.g., GDSII format). Provided the polygons can decompose into shapes for which analytical FT expressions are possible, the analytical approach dramatically reduces computation time and alleviates the burden of importing extensive mask data. Algorithms have been developed for importing and interpreting hierarchical layout data and computing the analytical FT on a graphics processing unit (GPU) for rapid parallel processing, not assuming incoherent imaging. Testing was performed on the active layer of a 392- μm×297-μm virtual chip test structure with 43 substructures distributed over six hierarchical levels. The factor of improvement in the analytical versus numerical approach for importing layout data, performing CPU-GPU memory transfers, and executing the FT on a single NVIDIA Tesla K20X GPU was 1.6×104, 4.9×103, and 3.8×103, respectively. Various ideas for algorithm enhancements will be discussed.

  9. Relative frequencies of constrained events in stochastic processes: An analytical approach

    Science.gov (United States)

    Rusconi, S.; Akhmatskaya, E.; Sokolovski, D.; Ballard, N.; de la Cal, J. C.

    2015-10-01

    The stochastic simulation algorithm (SSA) and the corresponding Monte Carlo (MC) method are among the most common approaches for studying stochastic processes. They relies on knowledge of interevent probability density functions (PDFs) and on information about dependencies between all possible events. Analytical representations of a PDF are difficult to specify in advance, in many real life applications. Knowing the shapes of PDFs, and using experimental data, different optimization schemes can be applied in order to evaluate probability density functions and, therefore, the properties of the studied system. Such methods, however, are computationally demanding, and often not feasible. We show that, in the case where experimentally accessed properties are directly related to the frequencies of events involved, it may be possible to replace the heavy Monte Carlo core of optimization schemes with an analytical solution. Such a replacement not only provides a more accurate estimation of the properties of the process, but also reduces the simulation time by a factor of order of the sample size (at least ≈104 ). The proposed analytical approach is valid for any choice of PDF. The accuracy, computational efficiency, and advantages of the method over MC procedures are demonstrated in the exactly solvable case and in the evaluation of branching fractions in controlled radical polymerization (CRP) of acrylic monomers. This polymerization can be modeled by a constrained stochastic process. Constrained systems are quite common, and this makes the method useful for various applications.

  10. Identification and Prioritization of Supply Chain Risks in Automotive Industries Using Fuzzy Analytic Network Approach: A Case Study

    Directory of Open Access Journals (Sweden)

    Fatemeh Parsamehr

    2016-12-01

    Full Text Available Supply chains are constantly exposed to various risks. An incident or uncertain event, which, in case of happening, has positive or negative effects on the objectives of a project, is called a risk. According to this identification, analysis and prioritization of risks may have a significant role in the success of the project. The purpose of risk management is to reduce the risks of non-achievement of these objectives and to identify and benefit from opportunities. The current study’s objective is to prioritize the performance of supply chain risks in Cruise Company, based on the method of fuzzy analytic network process, taking into account the opinion of specialists and experts. Fields of study for the prioritization of the supply chain risks, consist of 5 main components, supplier risk, manufacturer risk, distributor risk, external risks and final customer risks. In order to prioritize these fields, some questionnaires were prepared and codified based on expert opinion. Afterwards, the compiled data was analyzed and investigated in Super decision software. The research result indicates that, among the main components, external risks are the first priority and final customer risks are the second priority. Among the sub-components, the inappropriate price sub-component has been allocated the first priority and, finally, the supplier bankruptcy sub-component has the last priority.

  11. Analytical modeling of mode selection and power control for underlay D2D communication in cellular networks

    KAUST Repository

    Elsawy, Hesham

    2014-11-01

    Device-to-device (D2D) communication enables the user equipments (UEs) located in close proximity to bypass the cellular base stations (BSs) and directly connect to each other, and thereby, offload traffic from the cellular infrastructure. D2D communication can improve spatial frequency reuse and energy efficiency in cellular networks. This paper presents a comprehensive and tractable analytical framework for D2D-enabled uplink cellular networks with a flexible mode selection scheme along with truncated channel inversion power control. The developed framework is used to analyze and understand how the underlaying D2D communication affects the cellular network performance. Through comprehensive numerical analysis, we investigate the expected performance gains and provide guidelines for selecting the network parameters.

  12. Reliability theory for diffusion processes on interconnected networks

    Science.gov (United States)

    Khorramzadeh, Yasamin; Youssef, Mina; Eubank, Stephen

    2014-03-01

    We present the concept of network reliability as a framework to study diffusion dynamics in interdependent networks. We illustrate how different outcomes of diffusion processes, such as cascading failure, can be studied by estimating the reliability polynomial under different reliability rules. As an example, we investigate the effect of structural properties on diffusion dynamics for a few different topologies of two coupled networks. We evaluate the effect of varying the probability of failure propagating along the edges, both within a single network as well as between the networks. We exhibit the sensitivity of interdependent network reliability and connectivity to edge failures in each topology. Network Dynamics and Simulation Science Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, Virginia 24061, USA.

  13. Designing neural networks that process mean values of random variables

    Energy Technology Data Exchange (ETDEWEB)

    Barber, Michael J. [AIT Austrian Institute of Technology, Innovation Systems Department, 1220 Vienna (Austria); Clark, John W. [Department of Physics and McDonnell Center for the Space Sciences, Washington University, St. Louis, MO 63130 (United States); Centro de Ciências Matemáticas, Universidade de Madeira, 9000-390 Funchal (Portugal)

    2014-06-13

    We develop a class of neural networks derived from probabilistic models posed in the form of Bayesian networks. Making biologically and technically plausible assumptions about the nature of the probabilistic models to be represented in the networks, we derive neural networks exhibiting standard dynamics that require no training to determine the synaptic weights, that perform accurate calculation of the mean values of the relevant random variables, that can pool multiple sources of evidence, and that deal appropriately with ambivalent, inconsistent, or contradictory evidence. - Highlights: • High-level neural computations are specified by Bayesian belief networks of random variables. • Probability densities of random variables are encoded in activities of populations of neurons. • Top-down algorithm generates specific neural network implementation of given computation. • Resulting “neural belief networks” process mean values of random variables. • Such networks pool multiple sources of evidence and deal properly with inconsistent evidence.

  14. A Network Model on the Processing of Sound Wave

    Institute of Scientific and Technical Information of China (English)

    LI Feng; WU Guo-wen

    2008-01-01

    On the base of auditory neural system,the network model on the processing of the sound wave is presented.The mathematic equation of the network is also discussed.In the network model,in addition to the negative feedback of the nfural cell in the ontput layer,the cell in the input layer excites the corresponding cell in the output layer meanwhile it inhibits the lateral cells.The network has its advantage on the processing of sound wave.In addition to filter the noise,it can search the significance frequency segments (Barks).Thc "channel supprcssgr" feature,the special phenomena of the human ear,is explained based on the model.The learning algorithm of the network model is discussed,too.In the end,an example is introduced about the application of the network.

  15. Interestingness-Driven Diffusion Process Summarization in Dynamic Networks

    DEFF Research Database (Denmark)

    Qu, Qiang; Liu, Siyuan; Jensen, Christian S.

    2014-01-01

    tool in this regard is data summarization. However, few existing studies aim to summarize graphs/networks for dynamics. Dynamic networks raise new challenges not found in static settings, including time sensitivity and the needs for online interestingness evaluation and summary traceability, which......The widespread use of social networks enables the rapid diffusion of information, e.g., news, among users in very large communities. It is a substantial challenge to be able to observe and understand such diffusion processes, which may be modeled as networks that are both large and dynamic. A key...... render existing techniques inapplicable. We study the topic of dynamic network summarization: how to summarize dynamic networks with millions of nodes by only capturing the few most interesting nodes or edges over time, and we address the problem by finding interestingness-driven diffusion processes...

  16. Analytical Methodologies for Semiconductor Process Characterization—Novel Mass Spectrometric Methods

    Science.gov (United States)

    Vartanian, Victor H.; Goolsby, Brian

    2003-09-01

    New analytical techniques and applications are needed to address the challenges facing the semiconductor industry as transistor feature sizes continue to decrease beyond the 100 nm technology node. Several new applications of quadrupole ion trap (QIT) and Fourier transform ion cyclotron resonance (FTICR) mass spectrometry are presented, specifically applied to process tool effluent characterization. A QIT with atmospheric pressure transfer line and pneumatically driven valves is used to characterize a dielectric etch process, with response times comparable to extractive Fourier transform infrared (FTIR) spectroscopy. The QIT allows application of collision-induced dissociation (CID) for structure elucidation, and is useful when high-molecular weight metal organic precursors are used in processes that evolve byproducts that are ambiguous by gas-phase infrared analysis. Similarly, a transportable FTICR with a fixed magnet and pulsed-valve sample introduction allows matrix ion ejection to improve the sensitivity to analyte ions. The FTICR has also been evaluated for a low-pressure chemical vapor deposition (LPCVD) process using a high-molecular weight precursor. Byproducts are ambiguous in FTIR spectra, but the FTICR provided structural confirmation of the effluent species, and is a useful complement to FTIR. The FTICR was also used with FTIR to characterize process tool effluent emissions in a study using SF6 and Ar to plasma etch a candidate metal oxide gate electrode material, RuO2. The results confirmed that no significant amount of RuO4, a toxic byproduct, were produced in this process.

  17. A Sensemaking Approach to Visual Analytics of Attribute-Rich Social Networks

    Science.gov (United States)

    Gou, Liang

    2012-01-01

    Social networks have become more complex, in particular considering the fact that elements in social networks are not only abstract topological nodes and links, but contain rich social attributes and reflecting diverse social relationships. For example, in a co-authorship social network in a scientific community, nodes in the social network, which…

  18. Evaluation of EOR Processes Using Network Models

    DEFF Research Database (Denmark)

    Larsen, Jens Kjell; Krogsbøll, Anette

    1998-01-01

    The report consists of the following parts: 1) Studies of wetting properties of model fluids and fluid mixtures aimed at an optimal selection of candidates for micromodel experiments. 2) Experimental studies of multiphase transport properties using physical models of porous networks (micromodels)...

  19. Security Visualization Analytics Model in Online Social Networks Using Data Mining and Graph-based Structure Algorithms

    Directory of Open Access Journals (Sweden)

    Prajit Limsaiprom

    2014-07-01

    Full Text Available The rise of the Internet accelerates the creation of various large-scale online social networks, which can be described the relationships and activities between human beings. The online social networks relationships in real world are too big to present with useful information to identify the criminal or cyber-attacks. This research proposed new information security analytic model for online social networks, which called Security Visualization Analytics (SVA Model. SVA Model used the set of algorithms (1 Graph-based Structure algorithm to analyze the key factors of influencing nodes about density, centrality and the cohesive subgroup to identify the influencing nodes of anomaly and attack patterns (2 Supervised Learning with oneR classification algorithm was used to predict new links from such influencing nodes in online social networks on discovering surprising links in the existing ones of influencing nodes, which nodes in online social networks will be linked next from the attacked influencing nodes to monitor the risk. The results showed 42 influencing nodes of anomaly and attack patterns and can be predict 31 new links from such nodes were achieved by SVA Model with the accuracy of confidence level 95.0%. The new proposed model and results illustrated SVA Model was significance analysis. Such understanding can lead to efficient implementation of tools to links prediction in online social networks. They could be applied as a guide to further investigate of social networks behavior to improve the security model and notify the risk, computer viruses or cyber-attacks for online social networks in advance.

  20. Advanced information processing system: Input/output network management software

    Science.gov (United States)

    Nagle, Gail; Alger, Linda; Kemp, Alexander

    1988-01-01

    The purpose of this document is to provide the software requirements and specifications for the Input/Output Network Management Services for the Advanced Information Processing System. This introduction and overview section is provided to briefly outline the overall architecture and software requirements of the AIPS system before discussing the details of the design requirements and specifications of the AIPS I/O Network Management software. A brief overview of the AIPS architecture followed by a more detailed description of the network architecture.

  1. A Universal Quantum Network Quantum Central Processing Unit

    Institute of Scientific and Technical Information of China (English)

    WANG An-Min

    2001-01-01

    A new construction scheme of a universal quantum network which is compatible with the known quantum gate- assembly schemes is proposed. Our quantum network is standard, easy-assemble, reusable, scalable and even potentially programmable. Moreover, we can construct a whole quantum network to implement the generalquantum algorithm and quantum simulation procedure. In the above senses, it is a realization of the quantum central processing unit.

  2. A Discovery Process for Initializing Ad Hoc Underwater Acoustic Networks

    Science.gov (United States)

    2008-12-01

    1 The route establishment process is very similar to Ad hoc On-Demand Distance Vector ( AODV ) routing protocol except that AODV does not...research in network routing protocols . 3 Chapter III provides an overview of the challenges posed by the physical ocean medium on acoustic communications...network routing strategies. A. RELATED WORK While discovery and routing protocols for terrestrial ad hoc and wireless sensor networks have been

  3. Toward an Analytic Framework of Interdisciplinary Reasoning and Communication (IRC) Processes in Science

    Science.gov (United States)

    Shen, Ji; Sung, Shannon; Zhang, Dongmei

    2015-11-01

    Students need to think and work across disciplinary boundaries in the twenty-first century. However, it is unclear what interdisciplinary thinking means and how to analyze interdisciplinary interactions in teamwork. In this paper, drawing on multiple theoretical perspectives and empirical analysis of discourse contents, we formulate a theoretical framework that helps analyze interdisciplinary reasoning and communication (IRC) processes in interdisciplinary collaboration. Specifically, we propose four interrelated IRC processes-integration, translation, transfer, and transformation, and develop a corresponding analytic framework. We apply the framework to analyze two meetings of a project that aims to develop interdisciplinary science assessment items. The results illustrate that the framework can help interpret the interdisciplinary meeting dynamics and patterns. Our coding process and results also suggest that these IRC processes can be further examined in terms of interconnected sub-processes. We also discuss the implications of using the framework in conceptualizing, practicing, and researching interdisciplinary learning and teaching in science education.

  4. Electro-spun organic nanofibers elaboration process investigations using comparative analytical solutions.

    Science.gov (United States)

    Colantoni, A; Boubaker, K

    2014-01-30

    In this paper Enhanced Variational Iteration Method, EVIM is proposed, along with the BPES, for solving Bratu equation which appears in the particular elecotrospun nanofibers fabrication process framework. Elecotrospun organic nanofibers, with diameters less than 1/4 microns have been used in non-wovens and filtration industries for a broad range of filtration applications in the last decade. Electro-spinning process has been associated to Bratu equation through thermo-electro-hydrodynamics balance equations. Analytical solutions have been proposed, discussed and compared.

  5. Process data: a means to measure operational performance and implement advanced analytical models.

    Science.gov (United States)

    Santibañez, Pablo; Chow, Vincent S; French, John; Puterman, Martin L; Tyldesley, Scott

    2009-01-01

    We present the case of an ambulatory clinic in which an operational review was conducted to identify opportunities for efficiency in appointment scheduling and capacity allocation. We required process data to compare that which was planned to that which actually happened and to develop advanced analytical models. Similar to other health care studies, these data proved to be limited or non-existent. Consequently we had to conduct a time-consuming collection of operational metrics. We make recommendations for the perpetual collection of process data for modeling and simulation.

  6. Selection of Leading Industry in Anshun Experimental District Based on Analytic Hierarchy Process

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    Analytic Hierarchy Process is selected according to the selection method of leading industries by both domestic and foreign scholars. Leading industries which can accelerate the overall economic development of Anshun Experimental District is taken as the target layer; and market demand, efficiency standards and local conditions are taken as the criterion layers, so as to construct the select model of leading industry and to choose the leading industry in Anshun Experimental District. Result shows that the priority order of the leading industry selection in Anshun Experimental District is as follows: tourism > pharmacy > transportation > energy > food processing > characteristic agriculture > package and printing > automobile industry > mining > electric engineering.

  7. A Robust Process Analytical Technology (PAT) System Design for Crystallization Processes

    DEFF Research Database (Denmark)

    Abdul Samad, Noor Asma Fazli Bin; Sin, Gürkan; Gernaey, Krist

    2013-01-01

    A generic computer-aided framework for systematic design of a process monitoring and control system for crystallization processes has been developed to study various aspects of crystallization operations. The design framework contains a generic multidimensional modelling framework, a tool for gen...

  8. Understanding wax screen-printing: a novel patterning process for microfluidic cloth-based analytical devices.

    Science.gov (United States)

    Liu, Min; Zhang, Chunsun; Liu, Feifei

    2015-09-01

    In this work, we first introduce the fabrication of microfluidic cloth-based analytical devices (μCADs) using a wax screen-printing approach that is suitable for simple, inexpensive, rapid, low-energy-consumption and high-throughput preparation of cloth-based analytical devices. We have carried out a detailed study on the wax screen-printing of μCADs and have obtained some interesting results. Firstly, an analytical model is established for the spreading of molten wax in cloth. Secondly, a new wax screen-printing process has been proposed for fabricating μCADs, where the melting of wax into the cloth is much faster (∼5 s) and the heating temperature is much lower (75 °C). Thirdly, the experimental results show that the patterning effects of the proposed wax screen-printing method depend to a certain extent on types of screens, wax melting temperatures and melting time. Under optimized conditions, the minimum printing width of hydrophobic wax barrier and hydrophilic channel is 100 μm and 1.9 mm, respectively. Importantly, the developed analytical model is also well validated by these experiments. Fourthly, the μCADs fabricated by the presented wax screen-printing method are used to perform a proof-of-concept assay of glucose or protein in artificial urine with rapid high-throughput detection taking place on a 48-chamber cloth-based device and being performed by a visual readout. Overall, the developed cloth-based wax screen-printing and arrayed μCADs should provide a new research direction in the development of advanced sensor arrays for detection of a series of analytes relevant to many diverse applications.

  9. Contagion processes on urban bus networks in Indian cities

    CERN Document Server

    Chatterjee, Atanu; Jagannathan, Krishna

    2015-01-01

    Bus transportation is considered as one of the most convenient and cheapest modes of public transportation in Indian cities. Due to their cost-effectiveness and wide reachability, they help a significant portion of the human population in cities to reach their destinations every day. Although from a transportation point of view they have numerous advantages over other modes of public transportation, they also pose a serious threat of contagious diseases spreading throughout the city. The presence of numerous local spatial constraints makes the process and extent of epidemic spreading extremely difficult to predict. Also, majority of the studies have focused on the contagion processes on scale-free network topologies whereas, spatially-constrained real-world networks such as, bus networks exhibit a wide-spectrum of network topology. Therefore, we aim in this study to understand this complex dynamical process of epidemic outbreak and information diffusion on the bus networks for six different Indian cities usin...

  10. Basic emotion processing and the adolescent brain: Task demands, analytic approaches, and trajectories of changes

    Directory of Open Access Journals (Sweden)

    Larissa B. Del Piero

    2016-06-01

    Full Text Available Early neuroimaging studies suggested that adolescents show initial development in brain regions linked with emotional reactivity, but slower development in brain structures linked with emotion regulation. However, the increased sophistication of adolescent brain research has made this picture more complex. This review examines functional neuroimaging studies that test for differences in basic emotion processing (reactivity and regulation between adolescents and either children or adults. We delineated different emotional processing demands across the experimental paradigms in the reviewed studies to synthesize the diverse results. The methods for assessing change (i.e., analytical approach and cohort characteristics (e.g., age range were also explored as potential factors influencing study results. Few unifying dimensions were found to successfully distill the results of the reviewed studies. However, this review highlights the potential impact of subtle methodological and analytic differences between studies, need for standardized and theory-driven experimental paradigms, and necessity of analytic approaches that are can adequately test the trajectories of developmental change that have recently been proposed. Recommendations for future research highlight connectivity analyses and non-linear developmental trajectories, which appear to be promising approaches for measuring change across adolescence. Recommendations are made for evaluating gender and biological markers of development beyond chronological age.

  11. Machine learning and predictive data analytics enabling metrology and process control in IC fabrication

    Science.gov (United States)

    Rana, Narender; Zhang, Yunlin; Wall, Donald; Dirahoui, Bachir; Bailey, Todd C.

    2015-03-01

    Integrate circuit (IC) technology is going through multiple changes in terms of patterning techniques (multiple patterning, EUV and DSA), device architectures (FinFET, nanowire, graphene) and patterning scale (few nanometers). These changes require tight controls on processes and measurements to achieve the required device performance, and challenge the metrology and process control in terms of capability and quality. Multivariate data with complex nonlinear trends and correlations generally cannot be described well by mathematical or parametric models but can be relatively easily learned by computing machines and used to predict or extrapolate. This paper introduces the predictive metrology approach which has been applied to three different applications. Machine learning and predictive analytics have been leveraged to accurately predict dimensions of EUV resist patterns down to 18 nm half pitch leveraging resist shrinkage patterns. These patterns could not be directly and accurately measured due to metrology tool limitations. Machine learning has also been applied to predict the electrical performance early in the process pipeline for deep trench capacitance and metal line resistance. As the wafer goes through various processes its associated cost multiplies. It may take days to weeks to get the electrical performance readout. Predicting the electrical performance early on can be very valuable in enabling timely actionable decision such as rework, scrap, feedforward, feedback predicted information or information derived from prediction to improve or monitor processes. This paper provides a general overview of machine learning and advanced analytics application in the advanced semiconductor development and manufacturing.

  12. Letter of Intent for RPP Characterization Program Process Engineering and Hanford Analytical Services and Characterization Project

    Energy Technology Data Exchange (ETDEWEB)

    ADAMS, M.R.

    2000-02-25

    The Characterization Project level of success achieved by the River Protection Project (RPP) is determined by the effectiveness of several organizations across RPP working together. The requirements, expectations, interrelationships, and performance criteria for each of these organizations were examined in order to understand the performances necessary to achieve characterization objectives. This Letter of Intent documents the results of the above examination. It formalizes the details of interfaces, working agreements, and requirements for obtaining and transferring tank waste samples from the Tank Farm System (RPP Process Engineering, Characterization Project Operations, and RPP Quality Assurance) to the characterization laboratory complex (222-S Laboratory, Waste Sampling and Characterization Facility, and the Hanford Analytical Service Program) and for the laboratory complex analysis and reporting of analytical results.

  13. Estimation and optimization of the performance of polyhedral process networks

    NARCIS (Netherlands)

    Haastregt, Sven Joseph Johannes van

    2013-01-01

    A system-level design methodology such as Daedalus provides designers with a forward synthesis flow for automated design, programming, and implementation of multiprocessor systems-on-chip. Daedalus employs the polyhedral process network model of computation to represent applications. These networks

  14. Pre-Processing Rules for Triangulation of Probabilistic Networks

    NARCIS (Netherlands)

    Bodlaender, H.L.; Koster, A.M.C.A.; Eijkhof, F. van den

    2003-01-01

    The currently most efficient algorithm for inference with a probabilistic network builds upon a triangulation of a network’s graph. In this paper, we show that pre-processing can help in finding good triangulations for probabilistic networks, that is, triangulations with a minimal maximum clique siz

  15. FUNDAMENTALS OF THE ANALYTIC NETWORK PROCESS-MULTIPLE NETWORKS WITH BENEFITS,COSTS,OPPORTUNITIES AND RISKS

    Institute of Scientific and Technical Information of China (English)

    Thomas L. SAATY

    2004-01-01

    The general theory of the ANP enables one to deal with the benefits, opportunities, costs, and risks (the BOCR merits) of a decision, by introducing the notion of negative priorities for C and R along with the rating (not comparison) of the top priority alternative synthesized for each of the four merits in terms of strategic criteria to enable one to combine the four B, O, C, and R values of each alternative into a single outcome. Strategic criteria are very basic criteria individuals and groups use to assess whether they should make any of the many decisions they face in their daily operations.They do not depend on any particular decision for their priorities but are assessed in terms of the goals and values of the individual or organization. Synthesis is made with two formulas, one multiplicative and one additive subtractive that can give rise to negative overall priorities. This paper summarizes and illustrates basic complex decisions involving several control criteria under each of the BOCR merits.

  16. Analytical characterization of spontaneous firing in networks of developing rat cultured cortical neurons

    Science.gov (United States)

    Tateno, Takashi; Kawana, Akio; Jimbo, Yasuhiko

    2002-05-01

    We have used a multiunit electrode array in extracellular recording to investigate changes in the firing patterns in networks of developing rat cortical neurons. The spontaneous activity of continual asynchronous firing or the alternation of asynchronous spikes and synchronous bursts changed over time so that activity in the later stages consisted exclusively of synchronized bursts. The spontaneous coordinated activity in bursts produced a variability in interburst interval (IBI) sequences that is referred to as ``form.'' The stochastic and nonlinear dynamical analysis of IBI sequences revealed that these sequences reflected a largely random process and that the form for relatively immature neurons was largely oscillatory while the form for the more mature neurons was Poisson-like. The observed IBI sequences thus showed changes in form associated with both the intrinsic properties of the developing cells and the neural response to correlated synaptic inputs due to interaction between the developing neural circuits.

  17. Distributed query processing in flash-based sensor networks

    Institute of Scientific and Technical Information of China (English)

    Jianliang XU; Xueyan TANG; Wang-Chien LEE

    2008-01-01

    Wireless sensor networks are used in a large array of applications to capture,collect,and analyze physical environmental data.Many existing sensor systems instruct sensor nodes to report their measurements to central repositories outside the network,which is expensive in energy cost.Recent technological advances in flash memory have given rise to the development of storagecentric sensor networks,where sensor nodes are equipped with high-capacity flash memory storage such that sensor data can b.e stored and managed inside the network to reduce expensive communication.This novel architecture calls for new data management techniques to fully exploit distributed in-network data storage.This paper describes some of our research on distributed query processing in such flash-based sensor networks.Of particular interests are the issues that arise in the design of storage management and indexing structures combining sensor system workload and read/write/erase characteristics of flash memory.

  18. Information processing by biochemical networks: a dynamic approach.

    Science.gov (United States)

    Bowsher, Clive G

    2011-02-06

    Understanding how information is encoded and transferred by biochemical networks is of fundamental importance in cellular and systems biology. This requires analysis of the relationships between the stochastic trajectories of the constituent molecular (or submolecular) species that comprise the network. We describe how to identify conditional independences between the trajectories or time courses of groups of species. These are robust network properties that provide important insight into how information is processed. An entire network can then be decomposed exactly into modules on informational grounds. In the context of signalling networks with multiple inputs, the approach identifies the routes and species involved in sequential information processing between input and output modules. An algorithm is developed which allows automated identification of decompositions for large networks and visualization using a tree that encodes the conditional independences. Only stoichiometric information is used and neither simulations nor knowledge of rate parameters are required. A bespoke version of the algorithm for signalling networks identifies the routes of sequential encoding between inputs and outputs, visualized as paths in the tree. Application to the toll-like receptor signalling network reveals that inputs can be informative in ways unanticipated by steady-state analyses, that the information processing structure is not well described as a bow tie, and that encoding for the interferon response is unusually sparse compared with other outputs of this innate immune system.

  19. Trend detection in social networks using Hawkes processes

    OpenAIRE

    2015-01-01

    International audience; —We develop in this paper a trend detection algorithm , designed to find trendy topics being disseminated in a social network. We assume that the broadcasts of messages in the social network is governed by a self-exciting point process, namely a Hawkes process, which takes into consideration the real broadcasting times of messages and the interaction between users and topics. We formally define trendiness and derive trend indices for each topic being disseminated in th...

  20. Neural PID Control Strategy for Networked Process Control

    Directory of Open Access Journals (Sweden)

    Jianhua Zhang

    2013-01-01

    Full Text Available A new method with a two-layer hierarchy is presented based on a neural proportional-integral-derivative (PID iterative learning method over the communication network for the closed-loop automatic tuning of a PID controller. It can enhance the performance of the well-known simple PID feedback control loop in the local field when real networked process control applied to systems with uncertain factors, such as external disturbance or randomly delayed measurements. The proposed PID iterative learning method is implemented by backpropagation neural networks whose weights are updated via minimizing tracking error entropy of closed-loop systems. The convergence in the mean square sense is analysed for closed-loop networked control systems. To demonstrate the potential applications of the proposed strategies, a pressure-tank experiment is provided to show the usefulness and effectiveness of the proposed design method in network process control systems.

  1. Slow dynamics of the contact process on complex networks

    Directory of Open Access Journals (Sweden)

    Ódor Géza

    2013-03-01

    Full Text Available The Contact Process has been studied on complex networks exhibiting different kinds of quenched disorder. Numerical evidence is found for Griffiths phases and other rare region effects, in Erdős Rényi networks, leading rather generically to anomalously slow (algebraic, logarithmic,… relaxation. More surprisingly, it turns out that Griffiths phases can also emerge in the absence of quenched disorder, as a consequence of sole topological heterogeneity in networks with finite topological dimension. In case of scalefree networks, exhibiting infinite topological dimension, slow dynamics can be observed on tree-like structures and a superimposed weight pattern. In the infinite size limit the correlated subspaces of vertices seem to cause a smeared phase transition. These results have a broad spectrum of implications for propagation phenomena and other dynamical process on networks and are relevant for the analysis of both models and empirical data.

  2. Competing spreading processes and immunization in multiplex networks

    CERN Document Server

    Gao, Bo

    2016-01-01

    Epidemic spreading on physical contact network will naturally introduce the human awareness information diffusion on virtual contact network, and the awareness diffusion will in turn depress the epidemic spreading, thus forming the competing spreading processes of epidemic and awareness in a multiplex networks. In this paper, we study the competing dynamics of epidemic and awareness, both of which follow the SIR process, in a two-layer networks based on microscopic Markov chain approach and numerical simulations. We find that strong capacities of awareness diffusion and self-protection of individuals could lead to a much higher epidemic threshold and a smaller outbreak size. However, the self-awareness of individuals has no obvious effect on the epidemic threshold and outbreak size. In addition, the immunization of the physical contact network under the interplay between of epidemic and awareness spreading is also investigated. The targeted immunization is found performs much better than random immunization, ...

  3. PENGGUNAAN METODE ANALYTIC HIERARCHY PROCESS DALAM MENGANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI PEMILIHAN MODA KE KAMPUS

    Directory of Open Access Journals (Sweden)

    Kardi Teknomo

    1999-01-01

    Full Text Available Limitation of parking spaces in Petra Christian University need to be solved by deterring private cars usage. However, the factors that affect students to choose their mode to campus are unknown. Determination of factors that influence mode choices may support alternatives and policy that could be proposed. Analytic Hierarchy Process was used to analyze the factors. Trips characteristics data of the students was collected by questionnaires interview. The results of the analysis show that the main factors that influence student to choose their mode to campus is security (49,3% and time (27,3%. Walking from student dormitory was the best alternative (33.2%, while carpool (16% is slightly lower than private cars usage (18%. Vanpool (12.4% is lower than carpool. Abstract in Bahasa Indonesia : Lahan parkir di Universitas Kristen Petra yang terbatas, memerlukan solusi alternatif yang mengalihkan penggunaan kendaraan pribadi. Permasalahannya, faktor-faktor apa yang menyebabkan mahasiswa memilih menggunakan mobil pribadi daripada alternatif moda yang lain belum diketahui. Dengan menentukan faktor-faktor yang mempengaruhi pemilihan moda, serta besar pengaruhnya, berbagai alternatif dan kebijakan untuk menurunkan kebutuhan akan lahan parkir, dapat diusulkan dengan lebih efektif. Metoda Analytic Hierarchy Process (AHP dapat dipergunakan untuk menentukan faktor-faktor pemilihan moda. Data karakteristik perjalanan dilakukan dengan wawancara berkuisioner kepada mahasiswa Universitas Kristen Petra yang mempunyai kemungkinan untuk melakukan pilihan terhadap alternatif-alternatif moda yang ada. Hasil analisa menunjukkan bahwa faktor utama yang mempengaruhi pemilihan moda untuk berangkat kuliah adalah faktor keamanan (49,3% dan faktor waktu (27,3%. Ditinjau dari berbagai faktor, alternatif jalan kaki dari pondokan merupakan alternatif yang terbaik (33,2%, sedangkan carpool (16%, sedikit lebih rendah daripada penggunaan mobil pribadi (18%. Angkutan kampus (antar

  4. A results-based process for evaluation of diverse visual analytics tools

    Science.gov (United States)

    Rubin, Gary; Berger, David H.

    2013-05-01

    With the pervasiveness of still and full-motion imagery in commercial and military applications, the need to ingest and analyze these media has grown rapidly in recent years. Additionally, video hosting and live camera websites provide a near real-time view of our changing world with unprecedented spatial coverage. To take advantage of these controlled and crowd-sourced opportunities, sophisticated visual analytics (VA) tools are required to accurately and efficiently convert raw imagery into usable information. Whether investing in VA products or evaluating algorithms for potential development, it is important for stakeholders to understand the capabilities and limitations of visual analytics tools. Visual analytics algorithms are being applied to problems related to Intelligence, Surveillance, and Reconnaissance (ISR), facility security, and public safety monitoring, to name a few. The diversity of requirements means that a onesize- fits-all approach to performance assessment will not work. We present a process for evaluating the efficacy of algorithms in real-world conditions, thereby allowing users and developers of video analytics software to understand software capabilities and identify potential shortcomings. The results-based approach described in this paper uses an analysis of end-user requirements and Concept of Operations (CONOPS) to define Measures of Effectiveness (MOEs), test data requirements, and evaluation strategies. We define metrics that individually do not fully characterize a system, but when used together, are a powerful way to reveal both strengths and weaknesses. We provide examples of data products, such as heatmaps, performance maps, detection timelines, and rank-based probability-of-detection curves.

  5. Hazardous Waste Landfill Siting using GIS Technique and Analytical Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Ozeair Abessi

    2010-07-01

    Full Text Available Disposal of large amount of generated hazardous waste in power plants, has always received communities' and authori¬ties attentions. In this paper using site screening method and Analytical Hierarchy Process (AHP a sophisticated approach for siting hazardous waste landfill in large areas is presented. This approach demonstrates how the evaluation criteria such as physical, socio-economical, technical, environmental and their regulatory sub criteria can be introduced into an over layer technique to screen some limited appropriate zones in the area. Then, in order to find the optimal site amongst the primary screened site utilizing a Multiple Criteria Decision Making (MCDM method for hierarchy computations of the process is recommended. Using the introduced method an accurate siting procedure for environmental planning of the landfills in an area would be enabled. In the study this approach was utilized for disposal of hazardous wastes of Shahid Rajaee thermal power plant located in Qazvin province west central part of Iran. As a result of this study 10 suitable zones were screened in the area at first, then using analytical hierarchy process a site near the power plant were chosen as the optimal site for landfilling of the hazardous wastes in Qazvin province.

  6. Development of balanced key performance indicators for emergency departments strategic dashboards following analytic hierarchical process.

    Science.gov (United States)

    Safdari, Reza; Ghazisaeedi, Marjan; Mirzaee, Mahboobeh; Farzi, Jebrail; Goodini, Azadeh

    2014-01-01

    Dynamic reporting tools, such as dashboards, should be developed to measure emergency department (ED) performance. However, choosing an effective balanced set of performance measures and key performance indicators (KPIs) is a main challenge to accomplish this. The aim of this study was to develop a balanced set of KPIs for use in ED strategic dashboards following an analytic hierarchical process. The study was carried out in 2 phases: constructing ED performance measures based on balanced scorecard perspectives and incorporating them into analytic hierarchical process framework to select the final KPIs. The respondents placed most importance on ED internal processes perspective especially on measures related to timeliness and accessibility of care in ED. Some measures from financial, customer, and learning and growth perspectives were also selected as other top KPIs. Measures of care effectiveness and care safety were placed as the next priorities too. The respondents placed least importance on disease-/condition-specific "time to" measures. The methodology can be presented as a reference model for development of KPIs in various performance related areas based on a consistent and fair approach. Dashboards that are designed based on such a balanced set of KPIs will help to establish comprehensive performance measurements and fair benchmarks and comparisons.

  7. Lateralized goal framing: How health messages are influenced by valence and contextual/analytic processing.

    Science.gov (United States)

    McCormick, Michael; Seta, John J

    2016-05-01

    The effectiveness of health messages has been shown to vary due to the positive or negative framing of information, often known as goal framing. In two experiments we altered, the strength of the goal framing manipulation by selectively activating the processing style of the left or right hemisphere (RH). In Experiment 1, we found support for the contextual/analytic perspective; a significant goal framing effect was observed when the contextual processing style of the RH - but not the analytic processing style of the left hemisphere (LH) - was initially activated. In Experiment 2, support for the valence hypothesis was found when a message that had a higher level of personal involvement was used than that in Experiment 1. When the LH was initially activated, there was an advantage for the gain- vs. loss-framed message; however, an opposite pattern - an advantage for the loss-framed message - was obtained when the RH was activated. These are the first framing results that support the valence hypothesis. We discuss the theoretical and applied implications of these experiments.

  8. Development of Multi-slice Analytical Tool to Support BIM-based Design Process

    Science.gov (United States)

    Atmodiwirjo, P.; Johanes, M.; Yatmo, Y. A.

    2017-03-01

    This paper describes the on-going development of computational tool to analyse architecture and interior space based on multi-slice representation approach that is integrated with Building Information Modelling (BIM). Architecture and interior space is experienced as a dynamic entity, which have the spatial properties that might be variable from one part of space to another, therefore the representation of space through standard architectural drawings is sometimes not sufficient. The representation of space as a series of slices with certain properties in each slice becomes important, so that the different characteristics in each part of space could inform the design process. The analytical tool is developed for use as a stand-alone application that utilises the data exported from generic BIM modelling tool. The tool would be useful to assist design development process that applies BIM, particularly for the design of architecture and interior spaces that are experienced as continuous spaces. The tool allows the identification of how the spatial properties change dynamically throughout the space and allows the prediction of the potential design problems. Integrating the multi-slice analytical tool in BIM-based design process thereby could assist the architects to generate better design and to avoid unnecessary costs that are often caused by failure to identify problems during design development stages.

  9. USING THE ANALYTICAL HIERARCHY PROCESS TO SUPPORT SUSTAINABLE USE OF GEO-RESOURCES IN METROPOLITAN AREAS

    Institute of Scientific and Technical Information of China (English)

    Oswald MARINONI; Andreas HOPPE

    2006-01-01

    Sand and gravel are important raw materials which are needed for many civil engineering projects.Due to economic reasons, sand and gravelpits are frequently located in the periphery of metropolitan areas which are often subject to competing land-use interests. As a contribution to land-use conflict solving, the Analytic Hierarchy Process (AHP) is applied within a Geographic Information System (GIS) environment. Two AHP preference matrix scenario constellations are evaluated and their results are used to create a land-use conflict map.

  10. Process Characterization of 32nm Semi Analytical Bilayer Graphene-based MOSFET

    OpenAIRE

    Noor Faizah Z. A.; Ahmad Ibrahim; Ker P.J.; Menon P. S.

    2016-01-01

    This paper presents an inclusive study and analysis of graphene-based MOSFET device at 32nm gate length. The analysis was based on top-gated structure which utilized Hafnium Dioxide (HfO2) dielectrics and metal gate. The same conventional process flows of a transistor were applied except the deposition of bilayer graphene as a channel. The analytical expression of the channel potential includes all relevant physics of bilayer graphene and by assuming that this device displays an ideal ohmic c...

  11. Pressure analysis for green supply chain management implementation in Indian industries using analytic hierarchy process

    DEFF Research Database (Denmark)

    Mathiyazhagan, K.; Govindan, Kannan; Noorul Haq, A.

    2014-01-01

    into six groups. Then common acceptable pressures were identified through a questionnaire survey from different industrial sectors in Phase 1. Finally, essential pressures are prioritised with the help of analytic hierarchy process in Phase 2. © 2013 Copyright Taylor and Francis Group, LLC.......Due to growing awareness about environment protection, firms are forced to implement environmental practices to enhance their green image. In recent times, academicians and practitioners have shown interest in green marketing and green supply chain management (GSCM). Fields of green branding...

  12. Web Data Cube Construction in Multidimensional On-line Analytical Processing Environment

    Institute of Scientific and Technical Information of China (English)

    ZHU Yan

    2007-01-01

    This paper investigates how to integrate Web data into a multidimensional data warehouse (cube) for comprehensive on-line analytical processing (OLAP) and decision making. An approach for Web data-based cube construction is proposed, which includes Web data modeling based on MIX (Metadata based Integration model for data X-change), generic and specific mapping rules design, and a transformation algorithm for mapping Web data to a multidimensional array. Besides, the structure and implementation of the prototype of a Web data base cube are discussed.

  13. Research on Marketing Channel of Mobile Manufacturer Based on Analytic Hierarchy Process

    Institute of Scientific and Technical Information of China (English)

    XIONG Hui; LI Shi-ming; LAN Yong

    2006-01-01

    Research on "marketing channel" of mobile attracts much attention in these years,but there're only few articles referring to how to optimize the disposition of channel resources for mobile manufacturers. Based on a typically multiplex marketing channel system of mobile manufacturer, the analytic hierarchy process (AHP) structure model is established. Through the judgment matrix, simple and total hierarchy arrangement, consistent test, this paper gets the weight of each kind of marketing channel of mobile manufacturer. It provides the practical reference value for mobile manufacturers to distribute resources of marketing channels.

  14. Tribal farmer preferences for conservation agriculture production systems: An application of Analytic Hierarchy Process.

    OpenAIRE

    Reed, B.F.

    2012-01-01

    In winter of 2012, Analytic Hierarchy Process (AHP) was conducted in three Nepali villages in or near the Trisuli River valley and at two in-country research organizations. AHP was conducted with a total of 40 scientists and 41 randomly selected farmers. Expert Choice 11.5.829 was used to calculate results. Overall, soil quality (49%) was perceived as most important to the goal of improved income. This was followed by yield (25%), profit (14%), and labor savings (11%). Also in terms of improv...

  15. Overview of analytical procedures for fatty and resin acids in the papermaking process

    Directory of Open Access Journals (Sweden)

    Piia Valto

    2012-11-01

    Full Text Available This review describes the role of wood extractives, especially fatty and resin acids, in papermaking, as well as the importance of their removal from process waters. One of the main aims is also to illustrate versatile analysis methods for this purpose and highlight recent developments in corresponding applications. Most of the current methods require time-consuming and laborious sample pretreatment procedures prior to gas chromatography coupled either with flame ionization or mass selective detection. However, some faster, even online techniques with minimum sample pretreatment, are also available, mainly including high performance liquid chromatography coupled with mass spectrometry. The advantages and disadvantages of all analytical procedures are briefly discussed.

  16. Introducing process analytical technology (PAT) in filamentous cultivation process development: comparison of advanced online sensors for biomass measurement

    DEFF Research Database (Denmark)

    Rønnest, Nanna Petersen; Stocks, Stuart M.; Eliasson Lantz, Anna

    2011-01-01

    cultivation data, such as the carbon dioxide evolution rate (CER) and the concentration of dissolved oxygen. Prediction models for the biomass concentrations were estimated on the basis of the individual sensors and on combinations of the sensors. The results showed that the more advanced sensors based on MWF......The recent process analytical technology (PAT) initiative has put an increased focus on online sensors to generate process-relevant information in real time. Specifically for fermentation, however, introduction of online sensors is often far from straightforward, and online measurement of biomass...... is one of the best examples. The purpose of this study was therefore to compare the performance of various online biomass sensors, and secondly to demonstrate their use in early development of a filamentous cultivation process. Eight Streptomyces coelicolor fed-batch cultivations were run as part...

  17. Beyond Scientific Workflows: Networked Open Processes

    NARCIS (Netherlands)

    Cushing, R.; Bubak, M.; Belloum, A.; de Laat, C.

    2013-01-01

    The multitude of scientific services and processes being developed brings about challenges for future in silico distributed experiments. Choosing the correct service from an expanding body of processes means that the the task of manually building workflows is becoming untenable. In this paper we pro

  18. Analytical Investigation on Computer Network Security System of Colleges and Universities

    Institute of Scientific and Technical Information of China (English)

    徐悦

    2013-01-01

    With the development of network technology, computer systems of colleges and universities gradually use network management and services, which provides comprehensive and convenient information access and management conditions. How?ever, in the network environment, the security of the system faces security threats like virus, malicious software and human at?tack, which may make the network data of the computer system damaged and tampered, or even lead to network system paraly?sis, breakdown of system concerning management and payment, missing and stealing of confidential documents. Therefore, it is of important application significance to promote the security of computer network systems of colleges and universities. This paper conducts comprehensive analysis on the security system of computer network systems of colleges and universities, elaborates its R&D and application status and puts forward specific schemes of prevention and solutions, which provides suggestions and refer?ence for its construction.

  19. A Big Data and Learning Analytics Approach to Process-Level Feedback in Cognitive Simulations.

    Science.gov (United States)

    Pecaric, Martin; Boutis, Kathy; Beckstead, Jason; Pusic, Martin

    2017-02-01

    Collecting and analyzing large amounts of process data for the purposes of education can be considered a big data/learning analytics (BD/LA) approach to improving learning. However, in the education of health care professionals, the application of BD/LA is limited to date. The authors discuss the potential advantages of the BD/LA approach for the process of learning via cognitive simulations. Using the lens of a cognitive model of radiograph interpretation with four phases (orientation, searching/scanning, feature detection, and decision making), they reanalyzed process data from a cognitive simulation of pediatric ankle radiography where 46 practitioners from three expertise levels classified 234 cases online. To illustrate the big data component, they highlight the data available in a digital environment (time-stamped, click-level process data). Learning analytics were illustrated using algorithmic computer-enabled approaches to process-level feedback.For each phase, the authors were able to identify examples of potentially useful BD/LA measures. For orientation, the trackable behavior of re-reviewing the clinical history was associated with increased diagnostic accuracy. For searching/scanning, evidence of skipping views was associated with an increased false-negative rate. For feature detection, heat maps overlaid on the radiograph can provide a metacognitive visualization of common novice errors. For decision making, the measured influence of sequence effects can reflect susceptibility to bias, whereas computer-generated path maps can provide insights into learners' diagnostic strategies.In conclusion, the augmented collection and dynamic analysis of learning process data within a cognitive simulation can improve feedback and prompt more precise reflection on a novice clinician's skill development.

  20. Global tree network for computing structures enabling global processing operations

    Science.gov (United States)

    Blumrich; Matthias A.; Chen, Dong; Coteus, Paul W.; Gara, Alan G.; Giampapa, Mark E.; Heidelberger, Philip; Hoenicke, Dirk; Steinmacher-Burow, Burkhard D.; Takken, Todd E.; Vranas, Pavlos M.

    2010-01-19

    A system and method for enabling high-speed, low-latency global tree network communications among processing nodes interconnected according to a tree network structure. The global tree network enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices are included that interconnect the nodes of the tree via links to facilitate performance of low-latency global processing operations at nodes of the virtual tree and sub-tree structures. The global operations performed include one or more of: broadcast operations downstream from a root node to leaf nodes of a virtual tree, reduction operations upstream from leaf nodes to the root node in the virtual tree, and point-to-point message passing from any node to the root node. The global tree network is configurable to provide global barrier and interrupt functionality in asynchronous or synchronized manner, and, is physically and logically partitionable.

  1. Recovery processes and dynamics in single and interdependent networks

    Science.gov (United States)

    Majdandzic, Antonio

    Systems composed of dynamical networks --- such as the human body with its biological networks or the global economic network consisting of regional clusters --- often exhibit complicated collective dynamics. Three fundamental processes that are typically present are failure, damage spread, and recovery. Here we develop a model for such systems and find phase diagrams for single and interacting networks. By investigating networks with a small number of nodes, where finite-size effects are pronounced, we describe the spontaneous recovery phenomenon present in these systems. In the case of interacting networks the phase diagram is very rich and becomes increasingly more complex as the number of interacting networks increases. In the simplest example of two interacting networks we find two critical points, four triple points, ten allowed transitions, and two forbidden transitions, as well as complex hysteresis loops. Remarkably, we find that triple points play the dominant role in constructing the optimal repairing strategy in damaged interacting systems. To test our model, we analyze an example of real interacting financial networks and find evidence of rapid dynamical transitions between well-defined states, in agreement with the predictions of our model.

  2. Scalable Networked Information Processing Environment (SNIPE)

    Energy Technology Data Exchange (ETDEWEB)

    Fagg, G.E.; Moore, K. [Univ. of Tennessee, Knoxville, TN (United States). Dept. of Computer Science; Dongarra, J.J. [Univ. of Tennessee, Knoxville, TN (United States). Dept. of Computer Science]|[Oak Ridge National Lab., TN (United States). Computer Science and Mathematics Div.; Geist, A. [Oak Ridge National Lab., TN (United States). Computer Science and Mathematics Div.

    1997-11-01

    SNIPE is a metacomputing system that aims to provide a reliable, secure, fault tolerant environment for long term distributed computing applications and data stores across the global Internet. This system combines global naming and replication of both processing and data to support large scale information processing applications leading to better availability and reliability than currently available with typical cluster computing and/or distributed computer environments.

  3. A Process Analytical Technology (PAT) approach to control a new API manufacturing process: development, validation and implementation.

    Science.gov (United States)

    Schaefer, Cédric; Clicq, David; Lecomte, Clémence; Merschaert, Alain; Norrant, Edith; Fotiadu, Frédéric

    2014-03-01

    Pharmaceutical companies are progressively adopting and introducing Process Analytical Technology (PAT) and Quality-by-Design (QbD) concepts promoted by the regulatory agencies, aiming the building of the quality directly into the product by combining thorough scientific understanding and quality risk management. An analytical method based on near infrared (NIR) spectroscopy was developed as a PAT tool to control on-line an API (active pharmaceutical ingredient) manufacturing crystallization step during which the API and residual solvent contents need to be precisely determined to reach the predefined seeding point. An original methodology based on the QbD principles was designed to conduct the development and validation of the NIR method and to ensure that it is fitted for its intended use. On this basis, Partial least squares (PLS) models were developed and optimized using chemometrics methods. The method was fully validated according to the ICH Q2(R1) guideline and using the accuracy profile approach. The dosing ranges were evaluated to 9.0-12.0% w/w for the API and 0.18-1.50% w/w for the residual methanol. As by nature the variability of the sampling method and the reference method are included in the variability obtained for the NIR method during the validation phase, a real-time process monitoring exercise was performed to prove its fit for purpose. The implementation of this in-process control (IPC) method on the industrial plant from the launch of the new API synthesis process will enable automatic control of the final crystallization step in order to ensure a predefined quality level of the API. In addition, several valuable benefits are expected including reduction of the process time, suppression of a rather difficult sampling and tedious off-line analyses.

  4. Analytical Study on Multi-Tier 5G Heterogeneous Small Cell Networks: Coverage Performance and Energy Efficiency.

    Science.gov (United States)

    Xiao, Zhu; Liu, Hongjing; Havyarimana, Vincent; Li, Tong; Wang, Dong

    2016-11-04

    In this paper, we investigate the coverage performance and energy efficiency of multi-tier heterogeneous cellular networks (HetNets) which are composed of macrocells and different types of small cells, i.e., picocells and femtocells. By virtue of stochastic geometry tools, we model the multi-tier HetNets based on a Poisson point process (PPP) and analyze the Signal to Interference Ratio (SIR) via studying the cumulative interference from pico-tier and femto-tier. We then derive the analytical expressions of coverage probabilities in order to evaluate coverage performance in different tiers and investigate how it varies with the small cells' deployment density. By taking the fairness and user experience into consideration, we propose a disjoint channel allocation scheme and derive the system channel throughput for various tiers. Further, we formulate the energy efficiency optimization problem for multi-tier HetNets in terms of throughput performance and resource allocation fairness. To solve this problem, we devise a linear programming based approach to obtain the available area of the feasible solutions. System-level simulations demonstrate that the small cells' deployment density has a significant effect on the coverage performance and energy efficiency. Simulation results also reveal that there exits an optimal small cell base station (SBS) density ratio between pico-tier and femto-tier which can be applied to maximize the energy efficiency and at the same time enhance the system performance. Our findings provide guidance for the design of multi-tier HetNets for improving the coverage performance as well as the energy efficiency.

  5. Analytical Study on Multi-Tier 5G Heterogeneous Small Cell Networks: Coverage Performance and Energy Efficiency

    Directory of Open Access Journals (Sweden)

    Zhu Xiao

    2016-11-01

    Full Text Available In this paper, we investigate the coverage performance and energy efficiency of multi-tier heterogeneous cellular networks (HetNets which are composed of macrocells and different types of small cells, i.e., picocells and femtocells. By virtue of stochastic geometry tools, we model the multi-tier HetNets based on a Poisson point process (PPP and analyze the Signal to Interference Ratio (SIR via studying the cumulative interference from pico-tier and femto-tier. We then derive the analytical expressions of coverage probabilities in order to evaluate coverage performance in different tiers and investigate how it varies with the small cells’ deployment density. By taking the fairness and user experience into consideration, we propose a disjoint channel allocation scheme and derive the system channel throughput for various tiers. Further, we formulate the energy efficiency optimization problem for multi-tier HetNets in terms of throughput performance and resource allocation fairness. To solve this problem, we devise a linear programming based approach to obtain the available area of the feasible solutions. System-level simulations demonstrate that the small cells’ deployment density has a significant effect on the coverage performance and energy efficiency. Simulation results also reveal that there exits an optimal small cell base station (SBS density ratio between pico-tier and femto-tier which can be applied to maximize the energy efficiency and at the same time enhance the system performance. Our findings provide guidance for the design of multi-tier HetNets for improving the coverage performance as well as the energy efficiency.

  6. Oneiric activity and the analytical process. A semiotic perspective on Willy Baranger's theory of dreams.

    Science.gov (United States)

    Vinocur-Fischbein, Susana

    2005-10-01

    This author reconsiders, from a semiotic perspective, the theoretical and technical ideas developed by Willy and Madeleine Baranger, especially W. Baranger's views on the function of dreams, the status of oneiric symbols and the further clinical-technical use of dreams in the context of the inter-subjective dynamic field, together with the basic unconscious fantasy that emerges in the analytic situation. She attempts to relate the Barangers' ideas to others arising from Peirce's analytic semiotics that would support a triadic conceptualization of dreams. The need to incorporate a pragmatic view of communication and of the processes of production of sense as contributions to dream metapsychology and interpretation in the case of non-neurotic patients is particularly emphasized. On the basis of the hypothesis of a described series of triads underlying the production and retelling of dreams, the acknowledgment of these produced/told dreams as intentional signs allows the presence of a continuous process of semiosis to be proposed. The author introduces clinical material to illustrate the communicative value of dreams through the textual analysis of the report and accompanying associations of three dreams. Such analysis takes a linguistic pragmatics approach that examines those aspects of meaning not accounted for by a restricted semantic theory.

  7. Towards the understanding of network information processing in biology

    Science.gov (United States)

    Singh, Vijay

    Living organisms perform incredibly well in detecting a signal present in the environment. This information processing is achieved near optimally and quite reliably, even though the sources of signals are highly variable and complex. The work in the last few decades has given us a fair understanding of how individual signal processing units like neurons and cell receptors process signals, but the principles of collective information processing on biological networks are far from clear. Information processing in biological networks, like the brain, metabolic circuits, cellular-signaling circuits, etc., involves complex interactions among a large number of units (neurons, receptors). The combinatorially large number of states such a system can exist in makes it impossible to study these systems from the first principles, starting from the interactions between the basic units. The principles of collective information processing on such complex networks can be identified using coarse graining approaches. This could provide insights into the organization and function of complex biological networks. Here I study models of biological networks using continuum dynamics, renormalization, maximum likelihood estimation and information theory. Such coarse graining approaches identify features that are essential for certain processes performed by underlying biological networks. We find that long-range connections in the brain allow for global scale feature detection in a signal. These also suppress the noise and remove any gaps present in the signal. Hierarchical organization with long-range connections leads to large-scale connectivity at low synapse numbers. Time delays can be utilized to separate a mixture of signals with temporal scales. Our observations indicate that the rules in multivariate signal processing are quite different from traditional single unit signal processing.

  8. Process and results of analytical framework and typology development for POINT

    DEFF Research Database (Denmark)

    Gudmundsson, Henrik; Lehtonen, Markku; Bauler, Tom

    2009-01-01

    insights from different fields, paradigms, and studies can be combined The report reviews and seeks to synthesize a multitude of approaches and findings in a broad field of literature on use and influence of indicators and related areas. The resulting framework consists of the structuring of the knowledge......POINT is a project about how indicators are used in practice; to what extent and in what way indicators actually influence, support, or hinder policy and decision making processes, and what could be done to enhance the positive role of indicators in such processes. The project needs an analytical...... the applications of it. Key inter-related issues for building the framework, as addressed in this report, include, •Terminologies: How basic terms such as ‘use’ and ‘influence’ of ‘indicators’ and ‘framework’s are defined and ‘typologised’ • Causalities: How relationships between policies and indicators can...

  9. Supplier Selection for Food Industry: A Combination of Taguchi Loss Function and Fuzzy Analytical Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Renna Magdalena

    2012-09-01

    Full Text Available Supplier selection is an important part of supply chain management process by which firms identify, evaluate, and establish contracts with suppliers. Deciding the right supplier can be a complex task. As such, various criteria must be taken into account to choose the best supplier. This study focused on the supply in the packaging division of a food industry in Denpasar-Bali. A combination of Taguchi Loss Function and fuzzy-AHP (Analytical Hierarchy Process Fuzzy Linear Programming was used to determine the best supplier. In this analysis, several suppliers’ criteria were considered, namely quality, delivery, completeness, quality loss and environmental management. By maximizing the suppliers’ performances based on each criterion and aggregating the suppliers’ performances based on the overall criteria, the best supplier was determined. Keywords: supplier selection, taguchi loss function, AHP, fuzzy linear programming,environment

  10. IT vendor selection model by using structural equation model & analytical hierarchy process

    Science.gov (United States)

    Maitra, Sarit; Dominic, P. D. D.

    2012-11-01

    Selecting and evaluating the right vendors is imperative for an organization's global marketplace competitiveness. Improper selection and evaluation of potential vendors can dwarf an organization's supply chain performance. Numerous studies have demonstrated that firms consider multiple criteria when selecting key vendors. This research intends to develop a new hybrid model for vendor selection process with better decision making. The new proposed model provides a suitable tool for assisting decision makers and managers to make the right decisions and select the most suitable vendor. This paper proposes a Hybrid model based on Structural Equation Model (SEM) and Analytical Hierarchy Process (AHP) for long-term strategic vendor selection problems. The five steps framework of the model has been designed after the thorough literature study. The proposed hybrid model will be applied using a real life case study to assess its effectiveness. In addition, What-if analysis technique will be used for model validation purpose.

  11. Heuristic and analytic processes in reasoning: an event-related potential study of belief bias.

    Science.gov (United States)

    Banks, Adrian P; Hope, Christopher

    2014-03-01

    Human reasoning involves both heuristic and analytic processes. This study of belief bias in relational reasoning investigated whether the two processes occur serially or in parallel. Participants evaluated the validity of problems in which the conclusions were either logically valid or invalid and either believable or unbelievable. Problems in which the conclusions presented a conflict between the logically valid response and the believable response elicited a more positive P3 than problems in which there was no conflict. This shows that P3 is influenced by the interaction of belief and logic rather than either of these factors on its own. These findings indicate that belief and logic influence reasoning at the same time, supporting models in which belief-based and logical evaluations occur in parallel but not theories in which belief-based heuristic evaluations precede logical analysis.

  12. Analytical solution of steady-state equations for chemical reaction networks with bilinear rate laws.

    Science.gov (United States)

    Halász, Adám M; Lai, Hong-Jian; McCabe Pryor, Meghan; Radhakrishnan, Krishnan; Edwards, Jeremy S

    2013-01-01

    True steady states are a rare occurrence in living organisms, yet their knowledge is essential for quasi-steady-state approximations, multistability analysis, and other important tools in the investigation of chemical reaction networks (CRN) used to describe molecular processes on the cellular level. Here, we present an approach that can provide closed form steady-state solutions to complex systems, resulting from CRN with binary reactions and mass-action rate laws. We map the nonlinear algebraic problem of finding steady states onto a linear problem in a higher-dimensional space. We show that the linearized version of the steady-state equations obeys the linear conservation laws of the original CRN. We identify two classes of problems for which complete, minimally parameterized solutions may be obtained using only the machinery of linear systems and a judicious choice of the variables used as free parameters. We exemplify our method, providing explicit formulae, on CRN describing signal initiation of two important types of RTK receptor-ligand systems, VEGF and EGF-ErbB1.

  13. Designer networks for time series processing

    DEFF Research Database (Denmark)

    Svarer, C; Hansen, Lars Kai; Larsen, Jan;

    1993-01-01

    The conventional tapped-delay neural net may be analyzed using statistical methods and the results of such analysis can be applied to model optimization. The authors review and extend efforts to demonstrate the power of this strategy within time series processing. They attempt to design compact...

  14. Characteristic functions and process identification by neural networks

    CERN Document Server

    Dente, J A

    1997-01-01

    Principal component analysis (PCA) algorithms use neural networks to extract the eigenvectors of the correlation matrix from the data. However, if the process is non-Gaussian, PCA algorithms or their higher order generalisations provide only incomplete or misleading information on the statistical properties of the data. To handle such situations we propose neural network algorithms, with an hybrid (supervised and unsupervised) learning scheme, which constructs the characteristic function of the probability distribution and the transition functions of the stochastic process. Illustrative examples are presented, which include Cauchy and Levy-type processes

  15. Extreme Values of Queues, Point Processes and Stochastic Networks.

    Science.gov (United States)

    2014-09-26

    AD-A158 619 EXTREMIE YALUES OF QUEUES POINT PROCESSES AND STOCHASTIC i/i NETUORKS(U) GEORGIA INST OF TECH ATLANTA R F SERFOZO 25 JUN 85 SFOSR-TR-85...O If "Extreme Values of Queues, Point Processes VW- and Stochastic Networks" 1 Grant No. AFOSR 84-0367 by Professor Richard F. Serfozo Industrial and...Claaraicajton) Extreme Values of Oueues. Point Processes & Stochastic Networks_ 12. PERSONAL AUTHOR(S) R_ F_ Serfozo 13. TYPE OF REPORT 13b. TIME COVERED 14

  16. Review of neural network modelling of cracking process

    Science.gov (United States)

    Rosli, M. N.; Aziz, N.

    2016-11-01

    Cracking process is a very important process that converts low value products into high value products such as conversion of naphtha into ethylene and propylene. The process is nonlinear with extensive reaction network. Thus, nonlinear technique such as artificial neural network is explored to develop the model of the system. The paper will review and discuss the research works done on the technique in modelling cracking process using artificial neural network starting from early 1990s until recent development in 2015. Timeline is provided to show progression of work done throughout the years, the main issues addressed, and the proposed techniques for each. In the next section, the main objective of each work and each techniques explored by previous researchers is discussed in more detail. A table that summarizes previous works is provided to show common works done throughout the years. Lastly, potential gap for future works in the area is highlighted.

  17. A DNA Network as an Information Processing System

    Directory of Open Access Journals (Sweden)

    Andy M. Tyrrell

    2012-04-01

    Full Text Available Biomolecular systems that can process information are sought for computational applications, because of their potential for parallelism and miniaturization and because their biocompatibility also makes them suitable for future biomedical applications. DNA has been used to design machines, motors, finite automata, logic gates, reaction networks and logic programs, amongst many other structures and dynamic behaviours. Here we design and program a synthetic DNA network to implement computational paradigms abstracted from cellular regulatory networks. These show information processing properties that are desirable in artificial, engineered molecular systems, including robustness of the output in relation to different sources of variation. We show the results of numerical simulations of the dynamic behaviour of the network and preliminary experimental analysis of its main components.

  18. Die-out Probability in SIS Epidemic Processes on Networks

    CERN Document Server

    Liu, Qiang

    2016-01-01

    An accurate approximate formula of the die-out probability in a SIS epidemic process on a network is proposed. The formula contains only three essential parameters: the largest eigenvalue of the adjacency matrix of the network, the effective infection rate of the virus, and the initial number of infected nodes in the network. The die-out probability formula is compared with the exact die-out probability in complete and Erd\\H{o}s-R\\'enyi graphs, which demonstrates the accuracy. Furthermore, as an example, the formula is applied to the N-Intertwined Mean-Field Approximation, to explicitly incorporate the die-out.

  19. A Network Model on the Processing of Image

    Institute of Scientific and Technical Information of China (English)

    Qian Qingquan; Li Feng

    1994-01-01

    By imitating the construction of human eyes,a network model.on-center offsurround,on the processing of the image is presented. The activity of the cell under the perturbing of an input pattern is discussed in this paper. Authors also analyse the feature of the network model on the matching of the input patterns,suppressing of the uniform spatial noise and detecting of the edges.

  20. Prioritizing the countries for BOT nuclear power project using Analytic Hierarchy Process

    Energy Technology Data Exchange (ETDEWEB)

    Choi, Sun Woo; Roh, Myung Sub [KEPCO International Nuclear Graduate School, Ulsan (Korea, Republic of)

    2013-10-15

    This paper proposes factors influencing the success of BOT nuclear power projects and their weighting method using Analytic Hierarchy Process (AHP) to find the optimal country which developer intends to develop. To summarize, this analytic method enable the developer to select and focus on the country which has preferable circumstance so that it enhances the efficiency of the project promotion by minimizing the opportunity cost. Also, it enables the developer to quantify the qualitative factors so that it diversifies the project success strategy and policy for the targeted country. Although the performance of this study is insufficient due to the limitation of time, small sampling and security of materials, it still has the possibility to improve the analytic model more systematically through further study with more data. Developing Build-Own(or Operate)-Transfer (BOT) nuclear power project carrying large capital in the long term requires initially well-made multi-decision which it prevents sorts of risks from unexpected situation of targeted countries. Moreover, the nuclear power project in most case is practically implemented by Government to Government cooperation, so the key concern for such nuclear power project would be naturally focused on the country situation rather than project viability at planning stage. In this regard, it requires the evaluation of targeted countries before involving the project, comprehensive and proper decision making for complex judgment factors, and efficient integration of expert's opinions, etc. Therefore, prioritizing and evaluating the feasibility of country for identification of optimal project region is very meaningful study.

  1. Development of Process Analytical Technology (PAT) methods for controlled release pellet coating.

    Science.gov (United States)

    Avalle, P; Pollitt, M J; Bradley, K; Cooper, B; Pearce, G; Djemai, A; Fitzpatrick, S

    2014-07-01

    This work focused on the control of the manufacturing process for a controlled release (CR) pellet product, within a Quality by Design (QbD) framework. The manufacturing process was Wurster coating: firstly layering active pharmaceutical ingredient (API) onto sugar pellet cores and secondly a controlled release (CR) coating. For each of these two steps, development of a Process Analytical Technology (PAT) method is discussed and also a novel application of automated microscopy as the reference method. Ultimately, PAT methods should link to product performance and the two key Critical Quality Attributes (CQAs) for this CR product are assay and release rate, linked to the API and CR coating steps respectively. In this work, the link between near infra-red (NIR) spectra and those attributes was explored by chemometrics over the course of the coating process in a pilot scale industrial environment. Correlations were built between the NIR spectra and coating weight (for API amount), CR coating thickness and dissolution performance. These correlations allow the coating process to be monitored at-line and so better control of the product performance in line with QbD requirements.

  2. Scenes for Social Information Processing in Adolescence: Item and factor analytic procedures for psychometric appraisal.

    Science.gov (United States)

    Vagos, Paula; Rijo, Daniel; Santos, Isabel M

    2016-04-01

    Relatively little is known about measures used to investigate the validity and applications of social information processing theory. The Scenes for Social Information Processing in Adolescence includes items built using a participatory approach to evaluate the attribution of intent, emotion intensity, response evaluation, and response decision steps of social information processing. We evaluated a sample of 802 Portuguese adolescents (61.5% female; mean age = 16.44 years old) using this instrument. Item analysis and exploratory and confirmatory factor analytic procedures were used for psychometric examination. Two measures for attribution of intent were produced, including hostile and neutral; along with 3 emotion measures, focused on negative emotional states; 8 response evaluation measures; and 4 response decision measures, including prosocial and impaired social behavior. All of these measures achieved good internal consistency values and fit indicators. Boys seemed to favor and choose overt and relational aggression behaviors more often; girls conveyed higher levels of neutral attribution, sadness, and assertiveness and passiveness. The Scenes for Social Information Processing in Adolescence achieved adequate psychometric results and seems a valuable alternative for evaluating social information processing, even if it is essential to continue investigation into its internal and external validity.

  3. The physics of spreading processes in multilayer networks

    Science.gov (United States)

    de Domenico, Manlio; Granell, Clara; Porter, Mason A.; Arenas, Alex

    2016-10-01

    Despite the success of traditional network analysis, standard networks provide a limited representation of complex systems, which often include different types of relationships (or `multiplexity’) between their components. Such structural complexity has a significant effect on both dynamics and function. Throwing away or aggregating available structural information can generate misleading results and be a major obstacle towards attempts to understand complex systems. The recent multilayer approach for modelling networked systems explicitly allows the incorporation of multiplexity and other features of realistic systems. It allows one to couple different structural relationships by encoding them in a convenient mathematical object. It also allows one to couple different dynamical processes on top of such interconnected structures. The resulting framework plays a crucial role in helping to achieve a thorough, accurate understanding of complex systems. The study of multilayer networks has also revealed new physical phenomena that remain hidden when using ordinary graphs, the traditional network representation. Here we survey progress towards attaining a deeper understanding of spreading processes on multilayer networks, and we highlight some of the physical phenomena related to spreading processes that emerge from multilayer structure.

  4. Research on Networked Rapid Product Development Process

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Today the cycle time of the product develop is requ ir ed to be shortened. At the same time the requirement of the customers becomes mo re and more diverse and complex. The capability of the develop unit is limited b ecause of the existence of heterogeneous systems and distributed environments. I n this paper, we bring forward a new approach to solve the problem in product de velopment process. We also settle part key technologies in it. A great deal of information from all kinds of sources in the distribu...

  5. Multimodal processes scheduling in mesh-like network environment

    Directory of Open Access Journals (Sweden)

    Bocewicz Grzegorz

    2015-06-01

    Full Text Available Multimodal processes planning and scheduling play a pivotal role in many different domains including city networks, multimodal transportation systems, computer and telecommunication networks and so on. Multimodal process can be seen as a process partially processed by locally executed cyclic processes. In that context the concept of a Mesh-like Multimodal Transportation Network (MMTN in which several isomorphic subnetworks interact each other via distinguished subsets of common shared intermodal transport interchange facilities (such as a railway station, bus station or bus/tram stop as to provide a variety of demand-responsive passenger transportation services is examined. Consider a mesh-like layout of a passengers transport network equipped with different lines including buses, trams, metro, trains etc. where passenger flows are treated as multimodal processes. The goal is to provide a declarative model enabling to state a constraint satisfaction problem aimed at multimodal transportation processes scheduling encompassing passenger flow itineraries. Then, the main objective is to provide conditions guaranteeing solvability of particular transport lines scheduling, i.e. guaranteeing the right match-up of local cyclic acting bus, tram, metro and train schedules to a given passengers flow itineraries.

  6. Stupidity in the analytic field: Vicissitudes of the detachment process in adolescence.

    Science.gov (United States)

    Cassorla, Roosevelt M S

    2017-04-01

    This paper has the objective of broadening the understanding of technical aspects in working with adolescents who defend themselves against detachment from infantile aspects through defensive organizations. These organizations numb the adolescent toward both triangular reality and narcissistic defenses. The families of such young people may be part of the organization and the analyst can also be recruited to participate in it. But the analyst's perception can become blurry and this fact makes him appear stupid. Aspects of the myths of Narcissus and Oedipus are used here as models for studying stupidity. The analysis of a psychotic teenage girl who is symbiotic in relation to her family shows how the analytical field can be invaded by defensive configurations. Collusions of idealization and domination/submission involve the young person, her family and the analyst but the defensive organizations are only identified after their traumatic breakdown. The expansion of the symbolic network allows symbiotic transgenerational organizations to be identified, while models related to enactments prove helpful for understanding technical ups and downs. The paper ends with imaginative conjectures where Oedipus, as 'patient', is compared to the patient discussed here. These conjectures lead to reinterpretations of aspects of the Oedipus myth. The reinterpretations, together with the theoretical and clinical study, may serve as models for understanding the technical ups and downs in working with troubled teens.

  7. Process-Hardened, Multi-Analyte Sensor for Characterizing Rocket Plum Constituents Under Test Environment Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The objective of the Phase II STTR project is to develop a prototype multi-analyte sensor system to detect gaseous analytes present in the test stands during...

  8. Strategy for design NIR calibration sets based on process spectrum and model space: An innovative approach for process analytical technology.

    Science.gov (United States)

    Cárdenas, V; Cordobés, M; Blanco, M; Alcalà, M

    2015-10-10

    The pharmaceutical industry is under stringent regulations on quality control of their products because is critical for both, productive process and consumer safety. According to the framework of "process analytical technology" (PAT), a complete understanding of the process and a stepwise monitoring of manufacturing are required. Near infrared spectroscopy (NIRS) combined with chemometrics have lately performed efficient, useful and robust for pharmaceutical analysis. One crucial step in developing effective NIRS-based methodologies is selecting an appropriate calibration set to construct models affording accurate predictions. In this work, we developed calibration models for a pharmaceutical formulation during its three manufacturing stages: blending, compaction and coating. A novel methodology is proposed for selecting the calibration set -"process spectrum"-, into which physical changes in the samples at each stage are algebraically incorporated. Also, we established a "model space" defined by Hotelling's T(2) and Q-residuals statistics for outlier identification - inside/outside the defined space - in order to select objectively the factors to be used in calibration set construction. The results obtained confirm the efficacy of the proposed methodology for stepwise pharmaceutical quality control, and the relevance of the study as a guideline for the implementation of this easy and fast methodology in the pharma industry.

  9. AODV Robust (AODVR: An Analytic Approach to Shield Ad-hoc Networks from Black Holes

    Directory of Open Access Journals (Sweden)

    Mohammad Abu Obaida

    2011-08-01

    Full Text Available Mobile ad-hoc networks are vulnerable to several types of malicious routing attacks, black hole is one of those, where a malicious node advertise to have the shortest path to all other nodes in the network by the means of sending fake routing reply. As a result the destinations are deprived of desired information. In this paper, we propose a method AODV Robust (AODVR a revision to the AODV routing protocol, in which black hole is perceived as soon as they emerged and other nodes are alerted to prevent the network of such malicious threats thereby isolating the black hole. In AODVR method, the routers formulate the range of acceptable sequence numbers and define a threshold. If a node exceeds the threshold several times then it is black listed thereby increasing the network robustness.

  10. Evaluation of Conservation Voltage Reduction with Analytic Hierarchy Process: A Decision Support Framework in Grid Operations Planning

    Directory of Open Access Journals (Sweden)

    Kyungsung An

    2016-12-01

    Full Text Available This paper presents a systematic framework to evaluate the performance of conservation voltage reduction (CVR by determining suitable substations for CVR in operations planning. Existing CVR planning practice generally only focuses on the energy saving aspect without taking other underlying attributes into account, i.e., network topology and reduced voltage effects on other substations. To secure the desired operating reserve and avoid any adverse impacts, these attributes should be considered for implementing CVR more effectively. This research develops a practical decision-making framework based on the analytic hierarchy process (AHP to quantify several of the aforementioned attributes. Candidate substations for CVR deployment are prioritized such that performances are compared in terms of power transfer distribution factor (PTDF, voltage sensitivity factor (VSF, and CVR factor. In addition, to meet a specified reserve requirement, an integer programming approach is adopted to select potential substations for CVR implementations. Case studies for a Korean electric power system under diverse operating conditions are performed to demonstrate the effectiveness of the proposed method.

  11. Load balancing prediction method of cloud storage based on analytic hierarchy process and hybrid hierarchical genetic algorithm.

    Science.gov (United States)

    Zhou, Xiuze; Lin, Fan; Yang, Lvqing; Nie, Jing; Tan, Qian; Zeng, Wenhua; Zhang, Nian

    2016-01-01

    With the continuous expansion of the cloud computing platform scale and rapid growth of users and applications, how to efficiently use system resources to improve the overall performance of cloud computing has become a crucial issue. To address this issue, this paper proposes a method that uses an analytic hierarchy process group decision (AHPGD) to evaluate the load state of server nodes. Training was carried out by using a hybrid hierarchical genetic algorithm (HHGA) for optimizing a radial basis function neural network (RBFNN). The AHPGD makes the aggregative indicator of virtual machines in cloud, and become input parameters of predicted RBFNN. Also, this paper proposes a new dynamic load balancing scheduling algorithm combined with a weighted round-robin algorithm, which uses the predictive periodical load value of nodes based on AHPPGD and RBFNN optimized by HHGA, then calculates the corresponding weight values of nodes and makes constant updates. Meanwhile, it keeps the advantages and avoids the shortcomings of static weighted round-robin algorithm.

  12. Evaluating the service quality of third-party logistics service providers using the analytic hierarchy process

    Directory of Open Access Journals (Sweden)

    Soon-hoo So

    2006-12-01

    Full Text Available In this study we apply the analytic hierarchy process (AHP to evaluate the service quality of third-party logistics (3PL service providers. We first conceptualize five dimensions of 3PL service quality (i.e. tangibles, reliability, responsiveness, assurance and empathy. We then apply the AHP method to determine the relative weights of the five service quality dimensions and eventually select the best 3PL service provider. To implement this idea in practice, we conduct an empirical case study on four companies providing 3PL services in Korea. The results indicate that Responsiveness out of the five service quality dimensions is the most important factor in the perception of 3PL customers.

  13. Prioritizing the client trust factors in electronic banking using analytic hierarchy process

    Directory of Open Access Journals (Sweden)

    Hossein vazifedust

    2014-04-01

    Full Text Available This paper prioritizes the trust factors among electronic banking clients of an Iranian bank named Parsian Bank. The study first analyzes and reviews the literature and interviews with experts of electronic banking and academicians and determines client trust as the most important factor for development of electronic banking. The study also determines different factors associated with trust, which includes individual factors, banking factors and infrastructural factors. The sample populations consist of 25 experts who are academicians, managers and bank officers, clients of electronic banking. The necessary data was collected through conducting interviews and questionnaires and they are analyzed using analytic hierarchy process (AHP. The research findings indicate that the attitudinal factors, telecommunication infrastructure and cultural factors were the most influential factors accordingly and the customer orientation and ease of access were the least influential factors.

  14. Process Analytical Technology and On-Line Spectroscopic Measurements of Chemical Meat Quality

    DEFF Research Database (Denmark)

    Sørensen, Klavs Martin

    This thesis deals with process analytical technology and how it can be implemented in the meat industry through on-line grading of chemical meat quality. The focus will be on two applications, namely the rapid quality control of fat quality and the development of a method for on-line detection...... of boar taint. The chemical makeup of fat has a large effect on meat cut quality. Fat quality has traditionally been determined by methylation of a tissue sample followed by chromatography on a GC-MS system, elucidating the composition of the individual fatty acids. As this procedure typically takes far...... of nano-molar quantification in few seconds, in addition to an accelerated extraction-free GC-MS method that through automation can deliver results much faster than other similar methods. The implementation of these high tech methods will provide the meat industry with a leading edge not only with product...

  15. SELECTION OF BUSINESS STRATEGIES FOR QUALITY IMPROVEMENT USING FUZZY ANALYTICAL HIERARCHY PROCESS

    Directory of Open Access Journals (Sweden)

    Prasun Das

    2010-12-01

    Full Text Available Fuzzy linguistic concepts are often used to enhance the traditional analytic hierarchy process (AHP in capturing the fuzziness and subjectiveness of decision makers' judgments. In this paper, fuzzy AHP methodology is adopted for selection of the strategies for business improvement in an Indian industry as a decision making problem. Due to simplicity and effectiveness, triangular fuzzy numbers are adopted as a reference to indicate the influence strength of each element in the hierarchy structure. The confidence level and the optimistic levels of multiple decision makers are captured by using ? -cut based fuzzy number methods. This fuzzy set theory based multi-attribute decision making method is found to be quite useful and effective in industrial environment.

  16. Analytical tools for investigating strong-field QED processes in tightly focused laser fields

    CERN Document Server

    Di Piazza, A

    2015-01-01

    The present paper is the natural continuation of the letter [Phys. Rev. Lett. \\textbf{113}, 040402 (2014)], where the electron wave functions in the presence of a background electromagnetic field of general space-time structure have been constructed analytically, assuming that the initial energy of the electron is the largest dynamical energy scale in the problem and having in mind the case of a background tightly focused laser beam. Here, we determine the scalar and the spinor propagators under the same approximations, which are useful tools for calculating, e.g., total probabilities of processes occurring in such complex electromagnetic fields. In addition, we also present a simpler and more general expression of the electron wave functions found in [Phys. Rev. Lett. \\textbf{113}, 040402 (2014)] and we indicate a substitution rule to obtain them starting from the well-known Volkov wave functions in a plane-wave field.

  17. Integrasi Taguchi Loss Function dengan Fuzzy Analytical Hierarchy Process dalam Pemilih Pemasok

    Directory of Open Access Journals (Sweden)

    Ahmad S. Indrapriyatna

    2011-01-01

    Full Text Available One important issue in the line production is the selection of the company's best supplier. Various criteria should be considered for determining the best supplier. Answering to that challenge, we apply Taguchi loss function- Analytical Hierarchy Process Fuzzy-Linear Programming (Taguchi loss function-Fuzzy AHP to find out the best supplier. Moreover, we also consider multiple criteria, i.e., goods’ completeness, quality, delivery, and quality loss in that analysis. By maximizing the suppliers’ performances based on each criterion and aggregated the suppliers’ performances based on the overall criteria, we selected the best one. Applying this method for selecting the best pressure gauge’s supplier in PT. Coca Cola Bottling Indonesia Central Sumatera (PT. CCBICS, we found out that among three suppliers, the second supplier is the best one.

  18. Improving analytic hierarchy process applied to fire risk analysis of public building

    Institute of Scientific and Technical Information of China (English)

    SHI Long; ZHANG RuiFang; XIE QiYuan; FU LiHua

    2009-01-01

    The structure importance in Fault Tree Analysis (FTA) reflects how important Basic Events are to Top Event.Attribute at alternative level in Analytic Hierarchy Process (AHP) also reflect its importance to general goal.Based on the coherence of these two methods,an improved AHP is put forward.Using this improved method,how important the attribute is to the fire safety of public building can be ana-lyzed more credibly because of the reduction of subjective judgment.Olympic venues are very impor-tant public buildings in China.The fire safety evaluation of them will be a big issue to engineers.Im-proved AHP is a useful tool to the safety evaluation to these Olympic venues,and it will guide the evaluation in other areas.

  19. Priority survey between indicators and analytic hierarchy process analysis for green chemistry technology assessment

    Science.gov (United States)

    Kim, Sungjune; Hong, Seokpyo; Ahn, Kilsoo; Gong, Sungyong

    2015-01-01

    Objectives This study presents the indicators and proxy variables for the quantitative assessment of green chemistry technologies and evaluates the relative importance of each assessment element by consulting experts from the fields of ecology, chemistry, safety, and public health. Methods The results collected were subjected to an analytic hierarchy process to obtain the weights of the indicators and the proxy variables. Results These weights may prove useful in avoiding having to resort to qualitative means in absence of weights between indicators when integrating the results of quantitative assessment by indicator. Conclusions This study points to the limitations of current quantitative assessment techniques for green chemistry technologies and seeks to present the future direction for quantitative assessment of green chemistry technologies. PMID:26206364

  20. Comparing Online Analytical Processing and Data Mining Tasks In Enterprise Resource Planning Systems

    Directory of Open Access Journals (Sweden)

    Tamer Salah

    2011-11-01

    Full Text Available Enterprise Resource Planning (ERP is an environment which is often rich of data about the enterprise. Data warehouse online analytical processing techniques provided decision makers a set of useful tools to analyze report and graphically represent data of the ERP. It can be said that OLAP tools provides different summarized perspectives of the data. On the other hand, Data Mining techniques can discover previously unknown patterns of knowledge. It can be said that data mining provides a deeper look in the data. This paper provides a comparison and case-study of benefits obtained by applying OLAP or data mining techniques and the effect of integrating the both approaches in ERP

  1. Evaluation of Ecological Environment in Jingxin Wetland Using Analytic Hierarchy Process

    Institute of Scientific and Technical Information of China (English)

    TIAN; Hui; ZHAO; Hai-qing; GUO; Xiao-dong; DU; Ji-zhong

    2012-01-01

    [Objective]The study aimed to assess the ecological environment in Jingxin wetland using analytic hierarchy process (AHP). [Method]Based on the field survey on Jingxin wetland in the downstream of Tumen River, as well as domestic and international indicators and methods of wetland ecological evaluation, ten indicators reflecting the environmental protection function, functions of the ecological system and social and cultural value of the wetland were selected to evaluate the ecological environment of Jingxin wetland using AHP. [Result] The comprehensive evaluation index ( CEI ) of Jingxin wetland was 0.7124, namely 0.7CEI≤1.0, showing that the ecological environment in Jingxin wetland was better on the whole. Among the ten indicators, the functions of regulating flood, water supply, climate regulation, tourism and being an important animal habitat played important roles in the determination of the wetland value. [Conclusion]The research could provide theoretical foundations for the protection of ecological environment in Jingxin wetland.

  2. Evaluation of Ecological Environment in Jingxin Wetland Using Analytic Hierarchy Process

    Institute of Scientific and Technical Information of China (English)

    TIAN; Hui; ZHAO; Hai-qing; GUO; Xiao-dong; DU; Ji-zhong

    2012-01-01

    [Objective]The study aimed to assess the ecological environment in Jingxin wetland using analytic hierarchy process (AHP). [Method]Based on the field survey on Jingxin wetland in the downstream of Tumen River, as well as domestic and international indicators and methods of wetland ecological evaluation, ten indicators reflecting the environmental protection function, functions of the ecological system and social and cultural value of the wetland were selected to evaluate the ecological environment of Jingxin wetland using AHP. [Result] The comprehensive evaluation index ( CEI ) of Jingxin wetland was 0.7124, namely 0.7

  3. Reduced description of nonequilibrium processes and correlation functions. Divergences and non-analyticity

    Directory of Open Access Journals (Sweden)

    A.I.Sokolovsky

    2006-01-01

    Full Text Available A complete theory for investigation of time correlation functions is developed on the basis of the Bogolyubov reduced description method proceeding from his functional hypothesis. The problem of convergence in the theory of nonequilibrium processes and its relation to the non-analytic dependence of basic values of the theory on a small parameter of the perturbation theory are discussed. A natural regularization of integral equations of the theory is proposed. In the framework of a model of slow variables (hydrodynamics of a fluid, kinetics of a gas a generalized perturbation theory without divergencies is constructed corresponding to a partial summation in a usual perturbation theory. Properties of Green functions are discussed on the basis of resolvent formalism for the Liouville operator. A generalized Ernst and Dorfman theory is elaborated allowing to study the peculiarities of correlation and Green functions and to solve the convergence problem in the reduced description method.

  4. Stakeholder prioritization of zoonoses in Japan with analytic hierarchy process method.

    Science.gov (United States)

    Kadohira, M; Hill, G; Yoshizaki, R; Ota, S; Yoshikawa, Y

    2015-05-01

    There exists an urgent need to develop iterative risk assessment strategies of zoonotic diseases. The aim of this study is to develop a method of prioritizing 98 zoonoses derived from animal pathogens in Japan and to involve four major groups of stakeholders: researchers, physicians, public health officials, and citizens. We used a combination of risk profiling and analytic hierarchy process (AHP). Profiling risk was accomplished with semi-quantitative analysis of existing public health data. AHP data collection was performed by administering questionnaires to the four stakeholder groups. Results showed that researchers and public health officials focused on case fatality as the chief important factor, while physicians and citizens placed more weight on diagnosis and prevention, respectively. Most of the six top-ranked diseases were similar among all stakeholders. Transmissible spongiform encephalopathy, severe acute respiratory syndrome, and Ebola fever were ranked first, second, and third, respectively.

  5. Group decision making with the analytic hierarchy process in benefit-risk assessment: a tutorial.

    Science.gov (United States)

    Hummel, J Marjan; Bridges, John F P; IJzerman, Maarten J

    2014-01-01

    The analytic hierarchy process (AHP) has been increasingly applied as a technique for multi-criteria decision analysis in healthcare. The AHP can aid decision makers in selecting the most valuable technology for patients, while taking into account multiple, and even conflicting, decision criteria. This tutorial illustrates the procedural steps of the AHP in supporting group decision making about new healthcare technology, including (1) identifying the decision goal, decision criteria, and alternative healthcare technologies to compare, (2) structuring the decision criteria, (3) judging the value of the alternative technologies on each decision criterion, (4) judging the importance of the decision criteria, (5) calculating group judgments, (6) analyzing the inconsistency in judgments, (7) calculating the overall value of the technologies, and (8) conducting sensitivity analyses. The AHP is illustrated via a hypothetical example, adapted from an empirical AHP analysis on the benefits and risks of tissue regeneration to repair small cartilage lesions in the knee.

  6. Combining the Analytical Hierarchy Process and the Genetic Algorithm to Solve the Timetable Problem

    Directory of Open Access Journals (Sweden)

    Ihab Sbeity

    2014-07-01

    Full Text Available The main problems of school course timetabling are time, curriculum, and classrooms. In addition there are other problems that vary from one institution to another. This paper is intended to solve the problem of satisfying the teachers’ preferred schedule in a way that regards the importance of the teacher to the supervising institute, i.e. his score according to some criteria. Genetic algorithm (GA has been presented as an elegant method in solving timetable problem (TTP in order to produce solutions with no conflict. In this paper, we consider the analytic hierarchy process (AHP to efficiently obtain a score for each teacher, and consequently produce a GA-based TTP solution that satisfies most of the teachers’ preferences

  7. Using fuzzy analytical hierarchy process (AHP to evaluate web development platform

    Directory of Open Access Journals (Sweden)

    Ahmad Sarfaraz

    2012-01-01

    Full Text Available Web development is plays an important role on business plans and people's lives. One of the key decisions in which both short-term and long-term success of the project depends is choosing the right development platform. Its criticality can be judged by the fact that once a platform is chosen, one has to live with it throughout the software development life cycle. The entire shape of the project depends on the language, operating system, tools, frameworks etc., in short the web development platform chosen. In addition, choosing the right platform is a multi criteria decision making (MCDM problem. We propose a fuzzy analytical hierarchy process model to solve the MCDM problem. We try to tap the real-life modeling potential of fuzzy logic and conjugate it with the commonly used powerful AHP modeling method.

  8. Energy Efficiency Evaluation Based on Data Envelopment Analysis Integrated Analytic Hierarchy Process in Ethylene Production☆

    Institute of Scientific and Technical Information of China (English)

    Yongming Han; Zhiqiang Geng; Qiyu Liu

    2014-01-01

    Energy efficiency data from ethylene production equipment are of high dimension, dynamic and time sequential, so their evaluation is af ected by many factors. Abnormal data from ethylene production are eliminated through consisten-cy test, making the data consumption uniform to improve the comparability of data. Due to the limit of input and output data of decision making unit in data envelopment analysis (DEA), the energy efficiency data from the same technology in a certain year are disposed monthly using DEA. The DEA data of energy efficiency from the same technology are weighted and fused using analytic hierarchy process. The energy efficiency data from different technologies are evalu-ated by their relative ef ectiveness to find the direction of energy saving and consumption reduction.

  9. Determination of Teaching Methods in Chemistry Education by the Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Mehmet YÜKSE

    2013-06-01

    Full Text Available In this study, the relative importance of the topics of the chemistry course for the 9th grade of the secondary education and their teaching methods for an effective chemistry course have been determined by the Analytic Hierarchy Process (AHP technique. The AHP model of the research have been composed based on the topics in the chemistry course for the 9th grade and pair wise comparison matrix have been determined according to teachers’ view. As a result of the study, relative importance of the topics of the chemistry course as per percentage are compounds (47.8 %, chemical changes (26.5 %, chemical mixture (13.6 %, the development of chemistry (6.3 %, chemistry in our lives (5.8 %. The relative percentages of the teaching methods are narrative (32 %, demonstration (24.9 %, laboratory (18.9 %, question and answer (15.2 %, project work (9 %.

  10. Comparison of rheological analytic model with numerical simulation in powder injection molding filling process

    Institute of Scientific and Technical Information of China (English)

    刘跃军; 李祥刚; 黄宇刚; 魏珊珊; 曾广胜

    2008-01-01

    Mathematical model of filling disk-shaped mold cavity in steady state was studied.And the mathematical model under vibration field was developed from the model in steady state.According to the model of filling disk-shaped mold cavity in steady state,the filling time,the distribution of velocity field and the pressure field were obtained.The analysis results from rheological analytic model were compared with the numerical simulation results using Moldflow software in the powder injection molding filling process.Through the comparison,it is found that it is unreasonable to neglect the influence of temperature when calculated the pressure changing with the time at the cavity gate,while it can be neglected in other situations such as calculating the distribution of the velocity fields.This provides a theoretical reference for the establishment of correct model both in steady state and under vibration force field in the future.

  11. Analytic Hierarchy Process While Choosing Authentication with Radio Frequency Identification (RFID Systems

    Directory of Open Access Journals (Sweden)

    Mehmed Cihad Çağlayan

    2016-12-01

    Full Text Available Nowadays, it cannot be thought that companies carry out their activities stand away from technology. Especially, with Fourth Industrial Revolution 4.0 (Industry 4.0 smart technologies has started to play big role in factories. One of the innovation of industry 4.0 is RFI technology, today used by various industries in multiple areas, and there are widespread researches about this subject thus aims that to improve these technologies one step further. Besides that, management of technology becomes more crucial from many points of view of companies. Inaccurate technology investment usually might cause loss for companies. In this context, in order to choose best RFID option with defined criteria, at a company in automotive sector where technological development is followed and implemented, hierarchical model is established and from based on this model analytical hierarchy process used and an application is carried out.

  12. Whole fusion-fission process with Langevin approach and compared with analytical solution for barrier passage

    CERN Document Server

    Han, Jie

    2014-01-01

    We investigate time-dependent probability for a Brownian particle passing over the barrier to stay at a metastable potential pocket against escaping over the barrier. This is related to whole fusion-fission dynamical process and can be called the reverse Kramers problem. By the passing probability over the saddle point of inverse harmonic potential multiplying the exponential decay factor of a particle in the metastable potential, we present an approximate expression for the modified passing probability over the barrier, in which the effect of reflection boundary of potential is taken into account. Our analytical result and Langevin Monte-Carlo simulation show that the probability passing and against escaping over the barrier is a non-monotonous function of time and its maximal value is less than the stationary result of passing probability over the saddle point of inverse harmonic potential.

  13. Flavor pleasantness processing in the ventral emotion network

    Science.gov (United States)

    Weitkamp, Liselore; Renken, Remco J.; Nanetti, Luca; ter Horst, Gert J.

    2017-01-01

    The ventral emotion network–encompassing the amygdala, insula, ventral striatum, and ventral regions of the prefrontal cortex–has been associated with the identification of emotional significance of perceived external stimuli and the production of affective states. Functional magnetic resonance imaging (fMRI) studies investigating chemosensory stimuli have associated parts of this network with pleasantness coding. In the current study, we independently analyzed two datasets in which we measured brain responses to flavor stimuli in young adult men. In the first dataset, participants evaluated eight regular off the shelf drinking products while participants evaluated six less familiar oral nutritional supplements (ONS) in the second dataset. Participants provided pleasantness ratings 20 seconds after tasting. Using independent component analysis (ICA) and mixed effect models, we identified one brain network in the regular products dataset that was associated with flavor pleasantness. This network was very similar to the ventral emotion network. Although we identified an identical network in the ONS dataset using ICA, we found no linear relation between activation of any network and pleasantness scores within this dataset. Our results indicate that flavor pleasantness is processed in a network encompassing amygdala, ventral prefrontal, insular, striatal and parahippocampal regions for familiar drinking products. For more unfamiliar ONS products the association is not obvious, which could be related to the unfamiliarity of these products. PMID:28207751

  14. Image and signal processing for networked eHealth applications

    CERN Document Server

    Maglogiannis, Ilias

    2006-01-01

    E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and technique

  15. Possibilistic networks for uncertainty knowledge processing in student diagnosis

    Directory of Open Access Journals (Sweden)

    Adina COCU

    2006-12-01

    Full Text Available In this paper, a possibilistic network implementation for uncertain knowledge modeling of the diagnostic process is proposed as a means to achieve student diagnosis in intelligent tutoring system. This approach is proposed in the object oriented programming domain for diagnosis of students learning errors and misconception. In this expertise domain dependencies between data exist that are encoded in the structure of network. Also, it is available qualitative information about these data which are represented and interpreted with qualitative approach of possibility theory. The aim of student diagnosis system is to ensure an adapted support for the student and to sustain the student in personalized learning process and errors explanation.

  16. A Generic Methodology for Superstructure Optimization of Different Processing Networks

    DEFF Research Database (Denmark)

    Bertran, Maria-Ona; Frauzem, Rebecca; Zhang, Lei;

    2016-01-01

    In this paper, we propose a generic computer-aided methodology for synthesis of different processing networks using superstructure optimization. The methodology can handle different network optimization problems of various application fields. It integrates databases with a common data architecture......, a generic model to represent the processing steps, and appropriate optimization tools. A special software interface has been created to automate the steps in the methodology workflow, allow the transfer of data between tools and obtain the mathematical representation of the problem as required...

  17. BiNA: a visual analytics tool for biological network data.

    Directory of Open Access Journals (Sweden)

    Andreas Gerasch

    Full Text Available Interactive visual analysis of biological high-throughput data in the context of the underlying networks is an essential task in modern biomedicine with applications ranging from metabolic engineering to personalized medicine. The complexity and heterogeneity of data sets require flexible software architectures for data analysis. Concise and easily readable graphical representation of data and interactive navigation of large data sets are essential in this context. We present BiNA--the Biological Network Analyzer--a flexible open-source software for analyzing and visualizing biological networks. Highly configurable visualization styles for regulatory and metabolic network data offer sophisticated drawings and intuitive navigation and exploration techniques using hierarchical graph concepts. The generic projection and analysis framework provides powerful functionalities for visual analyses of high-throughput omics data in the context of networks, in particular for the differential analysis and the analysis of time series data. A direct interface to an underlying data warehouse provides fast access to a wide range of semantically integrated biological network databases. A plugin system allows simple customization and integration of new analysis algorithms or visual representations. BiNA is available under the 3-clause BSD license at http://bina.unipax.info/.

  18. Future planning: default network activity couples with frontoparietal control network and reward-processing regions during process and outcome simulations.

    Science.gov (United States)

    Gerlach, Kathy D; Spreng, R Nathan; Madore, Kevin P; Schacter, Daniel L

    2014-12-01

    We spend much of our daily lives imagining how we can reach future goals and what will happen when we attain them. Despite the prevalence of such goal-directed simulations, neuroimaging studies on planning have mainly focused on executive processes in the frontal lobe. This experiment examined the neural basis of process simulations, during which participants imagined themselves going through steps toward attaining a goal, and outcome simulations, during which participants imagined events they associated with achieving a goal. In the scanner, participants engaged in these simulation tasks and an odd/even control task. We hypothesized that process simulations would recruit default and frontoparietal control network regions, and that outcome simulations, which allow us to anticipate the affective consequences of achieving goals, would recruit default and reward-processing regions. Our analysis of brain activity that covaried with process and outcome simulations confirmed these hypotheses. A functional connectivity analysis with posterior cingulate, dorsolateral prefrontal cortex and anterior inferior parietal lobule seeds showed that their activity was correlated during process simulations and associated with a distributed network of default and frontoparietal control network regions. During outcome simulations, medial prefrontal cortex and amygdala seeds covaried together and formed a functional network with default and reward-processing regions.

  19. Traffic analysis and signal processing in optical packet switched networks

    DEFF Research Database (Denmark)

    Fjelde, Tina

    2002-01-01

    Gbit/s demultiplexing and 2x10 to 20 Gbit/s multiplexing. Lastly, the IWC’s capabilities as an optical logic gate for enabling more complex signal processing are demonstrated and four applications hereof are discussed. Logic OR and AND are verified in full at 10 Gbit/s using PRBS sequences coupled......This thesis focuses on functionalities that are important for the realisation of future all-optical packet switched networks, and which may be implemented using the interferometric wavelength converter. The European IST research project DAVID, with the aim of demonstrating the feasibility of a Tbit....../s optical packet switched network exploiting the best of optics and electronics, is used as a thread throughout the thesis. An overview of the DAVID network architecture is given, focussing on the MAN and WAN architecture as well as the MPLS-based network hierarchy. Subsequently, the traffic performance...

  20. Dynamics of sensory thalamocortical synaptic networks during information processing states.

    Science.gov (United States)

    Castro-Alamancos, Manuel A

    2004-11-01

    The thalamocortical network consists of the pathways that interconnect the thalamus and neocortex, including thalamic sensory afferents, corticothalamic and thalamocortical pathways. These pathways are essential to acquire, analyze, store and retrieve sensory information. However, sensory information processing mostly occurs during behavioral arousal, when activity in thalamus and neocortex consists of an electrographic sign of low amplitude fast activity, known as activation, which is caused by several neuromodulator systems that project to the thalamocortical network. Logically, in order to understand how the thalamocortical network processes sensory information it is essential to study its response properties during states of activation. This paper reviews the temporal and spatial response properties of synaptic pathways in the whisker thalamocortical network of rodents during activated states as compared to quiescent (non-activated) states. The evidence shows that these pathways are differentially regulated via the effects of neuromodulators as behavioral contingencies demand. Thus, during activated states, the temporal and spatial response properties of pathways in the thalamocortical network are transformed to allow the processing of sensory information.

  1. Discovering networks of perturbed biological processes in hepatocyte cultures.

    Directory of Open Access Journals (Sweden)

    Christopher D Lasher

    Full Text Available The liver plays a vital role in glucose homeostasis, the synthesis of bile acids and the detoxification of foreign substances. Liver culture systems are widely used to test adverse effects of drugs and environmental toxicants. The two most prevalent liver culture systems are hepatocyte monolayers (HMs and collagen sandwiches (CS. Despite their wide use, comprehensive transcriptional programs and interaction networks in these culture systems have not been systematically investigated. We integrated an existing temporal transcriptional dataset for HM and CS cultures of rat hepatocytes with a functional interaction network of rat genes. We aimed to exploit the functional interactions to identify statistically significant linkages between perturbed biological processes. To this end, we developed a novel approach to compute Contextual Biological Process Linkage Networks (CBPLNs. CBPLNs revealed numerous meaningful connections between different biological processes and gene sets, which we were successful in interpreting within the context of liver metabolism. Multiple phenomena captured by CBPLNs at the process level such as regulation, downstream effects, and feedback loops have well described counterparts at the gene and protein level. CBPLNs reveal high-level linkages between pathways and processes, making the identification of important biological trends more tractable than through interactions between individual genes and molecules alone. Our approach may provide a new route to explore, analyze, and understand cellular responses to internal and external cues within the context of the intricate networks of molecular interactions that control cellular behavior.

  2. Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes

    Science.gov (United States)

    Vu, Truong Nguyen Luan; Lee, Moonyong

    In this chapter, a robust design of multi-loop PI controller for multivariable processes in the presence of the multiplicative input uncertainty is presented. The method consists of two major steps: firstly, the analytical tuning rules of multi-loop PI controller are derived based on the direct synthesis and IMC-PID approach. Then, in the second step, the robust stability analysis is utilized for enhancing the robustness of proposed PI control systems. The most important feature of the proposed method is that the tradeoff between the robust stability and performance can be established by adjusting only one design parameter (i.e., the closed-loop time constant) via structured singular value synthesis. To verify the superiority of the proposed method, simulation studies have been conducted on a variety of the nominal processes and their plant-model mismatch cases. The results demonstrate that the proposed design method guarantees the robustness under the perturbation on each of the process parameters simultaneously.

  3. Multiple predator based capture process on complex networks

    CERN Document Server

    Sharafat, Rajput Ramiz; Pu, Cunlai; Chen, Rongbin

    2016-01-01

    The predator/prey (capture) problem is a prototype of many network-related applications. We study the capture process on complex networks by considering multiple predators from multiple sources. In our model, some lions start from multiple sources simultaneously to capture the lamb by biased random walks, which are controlled with a free parameter $\\alpha$. We derive the distribution of the lamb's lifetime and the expected lifetime $\\left\\langle T\\right\\rangle $. Through simulation, we find that the expected lifetime drops substantially with the increasing number of lions. We also study how the underlying topological structure affects the capture process, and obtain that locating on small-degree nodes is better than large-degree nodes to prolong the lifetime of the lamb. Moreover, dense or homogeneous network structures are against the survival of the lamb.

  4. Processing directed acyclic graphs with recursive neural networks.

    Science.gov (United States)

    Bianchini, M; Gori, M; Scarselli, F

    2001-01-01

    Recursive neural networks are conceived for processing graphs and extend the well-known recurrent model for processing sequences. In Frasconi et al. (1998), recursive neural networks can deal only with directed ordered acyclic graphs (DOAGs), in which the children of any given node are ordered. While this assumption is reasonable in some applications, it introduces unnecessary constraints in others. In this paper, it is shown that the constraint on the ordering can be relaxed by using an appropriate weight sharing, that guarantees the independence of the network output with respect to the permutations of the arcs leaving from each node. The method can be used with graphs having low connectivity and, in particular, few outcoming arcs. Some theoretical properties of the proposed architecture are given. They guarantee that the approximation capabilities are maintained, despite the weight sharing.

  5. Collaborative In-Network Processing for Target Tracking

    Directory of Open Access Journals (Sweden)

    Juan Liu

    2003-03-01

    Full Text Available This paper presents a class of signal processing techniques for collaborative signal processing in ad hoc sensor networks, focusing on a vehicle tracking application. In particular, we study two types of commonly used sensors—acoustic-amplitude sensors for target distance estimation and direction-of-arrival sensors for bearing estimation—and investigate how networks of such sensors can collaborate to extract useful information with minimal resource usage. The information-driven sensor collaboration has several advantages: tracking is distributed, and the network is energy-efficient, activated only on a when-needed basis. We demonstrate the effectiveness of the approach to target tracking using both simulation and field data.

  6. Multiple k Nearest Neighbor Query Processing in Spatial Network Databases

    DEFF Research Database (Denmark)

    Xuegang, Huang; Jensen, Christian Søndergaard; Saltenis, Simonas

    2006-01-01

    This paper concerns the efficient processing of multiple k nearest neighbor queries in a road-network setting. The assumed setting covers a range of scenarios such as the one where a large population of mobile service users that are constrained to a road network issue nearest-neighbor queries...... for points of interest that are accessible via the road network. Given multiple k nearest neighbor queries, the paper proposes progressive techniques that selectively cache query results in main memory and subsequently reuse these for query processing. The paper initially proposes techniques for the case...... where an upper bound on k is known a priori and then extends the techniques to the case where this is not so. Based on empirical studies with real-world data, the paper offers insight into the circumstances under which the different proposed techniques can be used with advantage for multiple k nearest...

  7. Synthesis of a parallel data stream processor from data flow process networks

    NARCIS (Netherlands)

    Zissulescu-Ianculescu, Claudiu

    2008-01-01

    In this talk, we address the problem of synthesizing Process Network specifications to FPGA execution platforms. The process networks we consider are special cases of Kahn Process Networks. We call them COMPAAN Data Flow Process Networks (CDFPN) because they are provided by a translator called the C

  8. An Analytic Approach for Calculating Frame Erasue Rate in Cellular GSM Networks

    Directory of Open Access Journals (Sweden)

    Ahmed M. Alaa

    2013-11-01

    Full Text Available The Quality of Service (QoS of a GSM system is quantified in terms of Bit Error Rate (BER and Frame Erasure Rate (FER observed by the user. The problem of obtaining analytical expressions for BER and FER in a fading channel with multiple cochannel interferers (CCI is an extremely complex mathematical problem. The reason for this complexity is that the involvement of several GSM physical layer modules is required to obtain an expression for the probability of bit error. Besides, one needs to obtain the statistical properties of faded cochannel interferers in order to obtain the raw BER of GMSK modulation. Thus, error rate metrics are usually obtained by simulating the GSM physical layer rather than treating the problem analytically. A reliable interface between system and link level models can be obtained by evaluating the BER and FER in terms of the Signal-to-Interference Ratio (SIR analytically, instead of the pre-defined statistical mapping data usually used in literature. In this work, bounds on the uplink BER and FER are obtained for the GSM physical layer assuming a CCI limited system where both the desired and interference signals are subjected to Rayleigh fading. The analysis considers GMSK modulation, convolutional coding and Frequency Hopping.

  9. The longitudinal use of SaNDVis: visual social network analytics in the enterprise.

    Science.gov (United States)

    Perer, Adam; Guy, Ido; Uziel, Erel; Ronen, Inbal; Jacovi, Michal

    2013-07-01

    As people continue to author and share increasing amounts of information in social media, the opportunity to leverage such information for relationship discovery tasks increases. In this paper, we describe a set of systems that mine, aggregate, and infer a social graph from social media inside an enterprise, resulting in over 73 million relationships between 450,000 people. We then describe SaNDVis, a novel visual analytics tool that supports people-centric tasks like expertise location, team building, and team coordination in the enterprise. We provide details of a 22-month-long, large-scale deployment to over 2,300 users from which we analyze longitudinal usage patterns, classify types of visual analytics queries and users, and extract dominant use cases from log and interview data. By integrating social position, evidence, and facets into SaNDVis, we demonstrate how users can use a visual analytics tool to reflect on existing relationships as well as build new relationships in an enterprise setting.

  10. Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    Hoda Hosny Abuzied

    2012-01-01

    Full Text Available Electrochemical machining (ECM is a non-traditional machining process used mainly to cut hard or difficult to cut metals, where the application of a more traditional process is not convenient. It offers several special advantages including higher machining rate, better precision and control, and a wider range of materials that can be machined. A suitable selection of machining parameters for the ECM process relies heavily on the operator’s technologies and experience because of their numerous and diverse range. Machining parameters provided by the machine tool builder cannot meet the operator’s requirements. So, artificial neural networks were introduced as an efficient approach to predict the values of resulting surface roughness and material removal rate. Many researchers usedartificial neural networks (ANN in improvement of ECM process and also in other nontraditional machining processes as well be seen in later sections. The present study is, initiated to predict values of some of resulting process parameters such as metal removal rate(MRR, and surface roughness (Ra using artificial neural networks based on variation of certain predominant parameters of an electrochemical broaching process such as applied voltage, feed rate and electrolyte flow rate. ANN was found to be an efficient approach as it reduced time & effort required to predict material removal rate & surface roughness if they were found experimentally using trial & error method. To validate the proposed approach the predicted values of surface roughness and material removal rate were compared with a previously obtained ones from the experimental work.

  11. Analytic treatment of tipping points for social consensus in large random networks.

    Science.gov (United States)

    Zhang, W; Lim, C; Szymanski, B K

    2012-12-01

    We introduce a homogeneous pair approximation to the naming game (NG) model by deriving a six-dimensional Open Dynamics Engine (ODE) for the two-word naming game. Our ODE reveals the change in dynamical behavior of the naming game as a function of the average degree {k} of an uncorrelated network. This result is in good agreement with the numerical results. We also analyze the extended NG model that allows for presence of committed nodes and show that there is a shift of the tipping point for social consensus in sparse networks.

  12. Artificial neural networks in biology and chemistry: the evolution of a new analytical tool.

    Science.gov (United States)

    Cartwright, Hugh M

    2008-01-01

    Once regarded as an eccentric and unpromising algorithm for the analysis of scientific data, the neural network has been developed in the last decade into a powerful computational tool. Its use now spans all areas of science, from the physical sciences and engineering to the life sciences and allied subjects. Applications range from the assessment of epidemiological data or the deconvolution of spectra to highly practical applications, such as the electronic nose. This introductory chapter considers briefly the growth in the use of neural networks and provides some general background in preparation for the more detailed chapters that follow.

  13. Neural network connectivity and response latency modelled by stochastic processes

    DEFF Research Database (Denmark)

    Tamborrino, Massimiliano

    is connected to thousands of other neurons. The rst question is: how to model neural networks through stochastic processes? A multivariate Ornstein-Uhlenbeck process, obtained as a diffusion approximation of a jump process, is the proposed answer. Obviously, dependencies between neurons imply dependencies......Stochastic processes and their rst passage times have been widely used to describe the membrane potential dynamics of single neurons and to reproduce neuronal spikes, respectively.However, cerebral cortex in human brains is estimated to contain 10-20 billions of neurons and each of them...... between their spike times. Therefore, the second question is: how to detect neural network connectivity from simultaneously recorded spike trains? Answering this question corresponds to investigate the joint distribution of sequences of rst passage times. A non-parametric method based on copulas...

  14. Competing spreading processes on multiplex networks: awareness and epidemics

    CERN Document Server

    Granell, Clara; Arenas, Alex

    2014-01-01

    Epidemic-like spreading processes on top of multilayered interconnected complex networks reveal a rich phase diagram of intertwined competition effects. A recent study by the authors [Granell et al. Phys. Rev. Lett. 111, 128701 (2013)] presented the analysis of the interrelation between two processes accounting for the spreading of an epidemics, and the spreading of information awareness to prevent its infection, on top of multiplex networks. The results in the case in which awareness implies total immunization to the disease, revealed the existence of a metacritical point at which the critical onset of the epidemics starts depending on the reaching of the awareness process. Here we present a full analysis of these critical properties in the more general scenario where the awareness spreading does not imply total immunization, and where infection does not imply immediate awareness of it. We find the critical relation between both competing processes for a wide spectrum of parameters representing the interacti...

  15. Signal Processing in Periodically Forced Gradient Frequency Neural Networks.

    Science.gov (United States)

    Kim, Ji Chul; Large, Edward W

    2015-01-01

    Oscillatory instability at the Hopf bifurcation is a dynamical phenomenon that has been suggested to characterize active non-linear processes observed in the auditory system. Networks of oscillators poised near Hopf bifurcation points and tuned to tonotopically distributed frequencies have been used as models of auditory processing at various levels, but systematic investigation of the dynamical properties of such oscillatory networks is still lacking. Here we provide a dynamical systems analysis of a canonical model for gradient frequency neural networks driven by a periodic signal. We use linear stability analysis to identify various driven behaviors of canonical oscillators for all possible ranges of model and forcing parameters. The analysis shows that canonical oscillators exhibit qualitatively different sets of driven states and transitions for different regimes of model parameters. We classify the parameter regimes into four main categories based on their distinct signal processing capabilities. This analysis will lead to deeper understanding of the diverse behaviors of neural systems under periodic forcing and can inform the design of oscillatory network models of auditory signal processing.

  16. Recurrent Artificial Neural Networks and Finite State Natural Language Processing.

    Science.gov (United States)

    Moisl, Hermann

    It is argued that pessimistic assessments of the adequacy of artificial neural networks (ANNs) for natural language processing (NLP) on the grounds that they have a finite state architecture are unjustified, and that their adequacy in this regard is an empirical issue. First, arguments that counter standard objections to finite state NLP on the…

  17. An Image Database on a Parallel Processing Network.

    Science.gov (United States)

    Philip, G.; And Others

    1991-01-01

    Describes the design and development of an image database for photographs in the Ulster Museum (Northern Ireland) that used parallelism from a transputer network. Topics addressed include image processing techniques; documentation needed for the photographs, including indexing, classifying, and cataloging; problems; hardware and software aspects;…

  18. An analytical method for 14C in environmental water based on a wet-oxidation process.

    Science.gov (United States)

    Huang, Yan-Jun; Guo, Gui-Yin; Wu, Lian-Sheng; Zhang, Bing; Chen, Chao-Feng; Zhang, Hai-Ying; Qin, Hong-Juan; Shang-Guan, Zhi-Hong

    2015-04-01

    An analytical method for (14)C in environmental water based on a wet-oxidation process was developed. The method can be used to determine the activity concentrations of organic and inorganic (14)C in environmental water, or total (14)C, including in drinking water, surface water, rainwater and seawater. The wet-oxidation of the organic component allows the conversion of organic carbon to an inorganic form, and the extraction of the inorganic (14)C can be achieved by acidification and nitrogen purging. Environmental water with a volume of 20 L can be used for the wet-oxidation and extraction, and a detection limit of about 0.02 Bq/g(C) can be achieved for water with carbon content above 15 mg(C)/L, obviously lower than the natural level of (14)C in the environment. The collected carbon is sufficient for measurement with a low level liquid scintillation counter (LSC) for typical samples. Extraction or recovery experiments for inorganic carbon and organic carbon from typical materials, including analytical reagents of organic benzoquinone, sucrose, glutamic acid, nicotinic acid, humic acid, ethane diol, et cetera., were conducted with excellent results based on measurement on a total organic carbon analyzer and LSC. The recovery rate for inorganic carbon ranged tween 98.7%-99.0% with a mean of 98.9(± 0.1)%, for organic carbon recovery ranged between 93.8% and 100.0% with a mean of 97.1(± 2.6)%. Verification and an uncertainty budget of the method are also presented for a representative environmental water. The method is appropriate for (14)C analysis in environmental water, and can be applied also to the analysis of liquid effluent from nuclear facilities.

  19. A fuzzy neural network for intelligent data processing

    Science.gov (United States)

    Xie, Wei; Chu, Feng; Wang, Lipo; Lim, Eng Thiam

    2005-03-01

    In this paper, we describe an incrementally generated fuzzy neural network (FNN) for intelligent data processing. This FNN combines the features of initial fuzzy model self-generation, fast input selection, partition validation, parameter optimization and rule-base simplification. A small FNN is created from scratch -- there is no need to specify the initial network architecture, initial membership functions, or initial weights. Fuzzy IF-THEN rules are constantly combined and pruned to minimize the size of the network while maintaining accuracy; irrelevant inputs are detected and deleted, and membership functions and network weights are trained with a gradient descent algorithm, i.e., error backpropagation. Experimental studies on synthesized data sets demonstrate that the proposed Fuzzy Neural Network is able to achieve accuracy comparable to or higher than both a feedforward crisp neural network, i.e., NeuroRule, and a decision tree, i.e., C4.5, with more compact rule bases for most of the data sets used in our experiments. The FNN has achieved outstanding results for cancer classification based on microarray data. The excellent classification result for Small Round Blue Cell Tumors (SRBCTs) data set is shown. Compared with other published methods, we have used a much fewer number of genes for perfect classification, which will help researchers directly focus their attention on some specific genes and may lead to discovery of deep reasons of the development of cancers and discovery of drugs.

  20. Activated sludge process based on artificial neural network

    Institute of Scientific and Technical Information of China (English)

    张文艺; 蔡建安

    2002-01-01

    Considering the difficulty of creating water quality model for activated sludge system, a typical BP artificial neural network model has been established to simulate the operation of a waste water treatment facilities. The comparison of prediction results with the on-spot measurements shows the model, the model is accurate and this model can also be used to realize intelligentized on-line control of the wastewater processing process.

  1. Tools for Large-Scale Data Analytic Examination of Relational and Epistemic Networks in Engineering Education

    Science.gov (United States)

    Madhavan, Krishna; Johri, Aditya; Xian, Hanjun; Wang, G. Alan; Liu, Xiaomo

    2014-01-01

    The proliferation of digital information technologies and related infrastructure has given rise to novel ways of capturing, storing and analyzing data. In this paper, we describe the research and development of an information system called Interactive Knowledge Networks for Engineering Education Research (iKNEER). This system utilizes a framework…

  2. Analytical Study of different types Of network failure detection and possible remedies

    Science.gov (United States)

    Saxena, Shikha; Chandra, Somnath

    2012-07-01

    Faults in a network have various causes,such as the failure of one or more routers, fiber-cuts, failure of physical elements at the optical layer, or extraneous causes like power outages. These faults are usually detected as failures of a set of dependent logical entities and the links affected by the failed components. A reliable control plane plays a crucial role in creating high-level services in the next-generation transport network based on the Generalized Multiprotocol Label Switching (GMPLS) or Automatically Switched Optical Networks (ASON) model. In this paper, approaches to control-plane survivability, based on protection and restoration mechanisms, are examined. Procedures for the control plane state recovery are also discussed, including link and node failure recovery and the concepts of monitoring paths (MPs) and monitoring cycles (MCs) for unique localization of shared risk linked group (SRLG) failures in all-optical networks. An SRLG failure is a failure of multiple links due to a failure of a common resource. MCs (MPs) start and end at same (distinct) monitoring location(s). They are constructed such that any SRLG failure results in the failure of a unique combination of paths and cycles. We derive necessary and sufficient conditions on the set of MCs and MPs needed for localizing an SRLG failure in an arbitrary graph. Procedure of Protection and Restoration of the SRLG failure by backup re-provisioning algorithm have also been discussed.

  3. Introducing process analytical technology (PAT) in filamentous cultivation process development: comparison of advanced online sensors for biomass measurement.

    Science.gov (United States)

    Rønnest, Nanna Petersen; Stocks, Stuart M; Eliasson Lantz, Anna; Gernaey, Krist V

    2011-10-01

    The recent process analytical technology (PAT) initiative has put an increased focus on online sensors to generate process-relevant information in real time. Specifically for fermentation, however, introduction of online sensors is often far from straightforward, and online measurement of biomass is one of the best examples. The purpose of this study was therefore to compare the performance of various online biomass sensors, and secondly to demonstrate their use in early development of a filamentous cultivation process. Eight Streptomyces coelicolor fed-batch cultivations were run as part of process development in which the pH, the feeding strategy, and the medium composition were varied. The cultivations were monitored in situ using multi-wavelength fluorescence (MWF) spectroscopy, scanning dielectric (DE) spectroscopy, and turbidity measurements. In addition, we logged all of the classical cultivation data, such as the carbon dioxide evolution rate (CER) and the concentration of dissolved oxygen. Prediction models for the biomass concentrations were estimated on the basis of the individual sensors and on combinations of the sensors. The results showed that the more advanced sensors based on MWF and scanning DE spectroscopy did not offer any advantages over the simpler sensors based on dual frequency DE spectroscopy, turbidity, and CER measurements for prediction of biomass concentration. By combining CER, DE spectroscopy, and turbidity measurements, the prediction error was reduced to 1.5 g/l, corresponding to 6% of the covered biomass range. Moreover, by using multiple sensors it was possible to check the quality of the individual predictions and switch between the sensors in real time.

  4. Structural damage localization by outlier analysis of signal-processed mode shapes - Analytical and experimental validation

    Science.gov (United States)

    Ulriksen, M. D.; Damkilde, L.

    2016-02-01

    Contrary to global modal parameters such as eigenfrequencies, mode shapes inherently provide structural information on a local level. Therefore, this particular modal parameter and its derivatives are utilized extensively for damage identification. Typically, more or less advanced mathematical methods are employed to identify damage-induced discontinuities in the spatial mode shape signals, hereby, potentially, facilitating damage detection and/or localization. However, by being based on distinguishing damage-induced discontinuities from other signal irregularities, an intrinsic deficiency in these methods is the high sensitivity towards measurement noise. In the present paper, a damage localization method which, compared to the conventional mode shape-based methods, has greatly enhanced robustness towards measurement noise is proposed. The method is based on signal processing of a spatial mode shape by means of continuous wavelet transformation (CWT) and subsequent application of a generalized discrete Teager-Kaiser energy operator (GDTKEO) to identify damage-induced mode shape discontinuities. In order to evaluate whether the identified discontinuities are in fact damage-induced, outlier analysis is conducted by applying the Mahalanobis metric to major principal scores of the sensor-located bands of the signal-processed mode shape. The method is tested analytically and benchmarked with other mode shape-based damage localization approaches on the basis of a free-vibrating beam and validated experimentally in the context of a residential-sized wind turbine blade subjected to an impulse load.

  5. Analytic hierarchy process helps select site for limestone quarry expansion in Barbados.

    Science.gov (United States)

    Dey, Prasanta Kumar; Ramcharan, Eugene K

    2008-09-01

    Site selection is a key activity for quarry expansion to support cement production, and is governed by factors such as resource availability, logistics, costs, and socio-economic-environmental factors. Adequate consideration of all the factors facilitates both industrial productivity and sustainable economic growth. This study illustrates the site selection process that was undertaken for the expansion of limestone quarry operations to support cement production in Barbados. First, alternate sites with adequate resources to support a 25-year development horizon were identified. Second, technical and socio-economic-environmental factors were then identified. Third, a database was developed for each site with respect to each factor. Fourth, a hierarchical model in analytic hierarchy process (AHP) framework was then developed. Fifth, the relative ranking of the alternate sites was then derived through pair wise comparison in all the levels and through subsequent synthesizing of the results across the hierarchy through computer software (Expert Choice). The study reveals that an integrated framework using the AHP can help select a site for the quarry expansion project in Barbados.

  6. A coordinate-based meta-analytic model of trauma processing in posttraumatic stress disorder.

    Science.gov (United States)

    Ramage, Amy E; Laird, Angela R; Eickhoff, Simon B; Acheson, Ashley; Peterson, Alan L; Williamson, Douglas E; Telch, Michael J; Fox, Peter T

    2013-12-01

    Posttraumatic stress disorder (PTSD) has a well-defined set of symptoms that can be elicited during traumatic imagery tasks. For this reason, trauma imagery tasks are often employed in functional neuroimaging studies. Here, coordinate-based meta-analysis (CBM) was used to pool eight studies applying traumatic imagery tasks to identify sites of task-induced activation in 170 PTSD patients and 104 healthy controls. In this way, right anterior cingulate (ACC), right posterior cingulate (PCC), and left precuneus (Pcun) were identified as regions uniquely active in PTSD patients relative to healthy controls. To further characterize these regions, their normal interactions, and their typical functional roles, meta-analytic connectivity modeling (MACM) with behavioral filtering was applied. MACM indicated that the PCC and Pcun regions were frequently co-active and associated with processing of cognitive information, particularly in explicit memory tasks. Emotional processing was particularly associated with co-activity of the ACC and PCC, as mediated by the thalamus. By narrowing the regions of interest to those commonly active across multiple studies (using CBM) and developing a priori hypotheses about directed probabilistic dependencies amongst these regions, this proposed model-when applied in the context of graphical and causal modeling-should improve model fit and thereby increase statistical power for detecting differences between subject groups and between treatments in neuroimaging studies of PTSD.

  7. Application of analytic hierarchy process method in the evaluation of managers of industrial enterprises in Slovakia

    Directory of Open Access Journals (Sweden)

    Lukáš Jurík

    2015-10-01

    Full Text Available Evaluation of employees in industrial enterprises is a problem, because evaluators often make decisions based on subjective feelings. The objective approach is missing in the evaluation of employees. Objective approach during evaluation of employees can be achieved by applying the method of Analytic Hierarchy Process. We applied the method in the field of HR management in three enterprises in Slovakia. For the first time, we used the method in an enterprise in selection process of the position of HR worker, where on the basis of the criteria, we recommended the most suitable candidate for the enterprise. The second was the application of the method in the enterprise for evaluating managers, where the enterprise needed to identify qualitative differences between managers and then determine, in which fields the employees must improve. The third application was the creation of a methodology for evaluating the competencies of managers in enterprise. In the above-mentioned enterprise, there was defined a competency model, which served as a system of criteria for evaluation, and by the application of method, quality of managers was able to be expressed by the synthetic indicator.

  8. An experimental comparison of fuzzy logic and analytic hierarchy process for medical decision support systems.

    Science.gov (United States)

    Uzoka, Faith-Michael Emeka; Obot, Okure; Barker, Ken; Osuji, J

    2011-07-01

    The task of medical diagnosis is a complex one, considering the level vagueness and uncertainty management, especially when the disease has multiple symptoms. A number of researchers have utilized the fuzzy-analytic hierarchy process (fuzzy-AHP) methodology in handling imprecise data in medical diagnosis and therapy. The fuzzy logic is able to handle vagueness and unstructuredness in decision making, while the AHP has the ability to carry out pairwise comparison of decision elements in order to determine their importance in the decision process. This study attempts to do a case comparison of the fuzzy and AHP methods in the development of medical diagnosis system, which involves basic symptoms elicitation and analysis. The results of the study indicate a non-statistically significant relative superiority of the fuzzy technology over the AHP technology. Data collected from 30 malaria patients were used to diagnose using AHP and fuzzy logic independent of one another. The results were compared and found to covary strongly. It was also discovered from the results of fuzzy logic diagnosis covary a little bit more strongly to the conventional diagnosis results than that of AHP.

  9. APPLICATION OF ANALYTIC HIERARCHY PROCESS TO ASSESSING THE ECOLOGICAL VULNERABILITY OF WETLANDS IN THE JIANGHAN PLAIN

    Institute of Scientific and Technical Information of China (English)

    WANG Xue-lei; NING Long-mei; HU Wang-bin

    2003-01-01

    Wetlands in the Jianghan Plain are important components of wetland types in lake area in the middle and lower reaches the Changjiang (Yangtze) River and they fulfill many uses and functions related to hydrology,waste assimilation, ecosystem productivity and biodiversity. Owing to natural factors and human activities, especially excessive reclamation from lakes, the shrinking process of the lakes has been accelerated. Wetland ecosystem has shown the characteristics of vulnerability. According to the analysis of wetland ecological function in the Jianghan Plain, this paper presented an index system related to productivity, stability and environmental capacity. By using the method of Analytic Hierarchy Process, we computed the values of the relative weights of the indexes, and evaluated the vulnerability level of the wetland ecosystem by the method of multi-indexes. The case study showed that the fragile extent of wetland ecosystem in the Jianghan Plain is 5.6. This means that the wetland ecosystem in the Jiang-han Plain is laid to the state of middle vulnerability. Therefore, the wetland conservation and eco-rehabilitation in the Jianghan Plain should be paid attention to.

  10. A note on the use of the analytic hierarchy process for environmental impact assessment.

    Science.gov (United States)

    Ramanathan, R

    2001-09-01

    Environmental impact assessment (EIA) is an intrinsically complex multi-dimensional process, involving multiple criteria and multiple actors. Multi-criteria methods can serve as useful decision aids for carrying out the EIA. This paper proposes the use of a multi-criteria technique, namely the analytic hierarchy process (AHP), for the purpose. AHP has the flexibility to combine quantitative and qualitative factors, to handle different groups of actors, to combine the opinions expressed by many experts, and can help in stakeholder analysis. The main shortcomings of AHP and some modifications to it to overcome the shortcomings are briefly described. Finally, the use of AHP is illustrated for a case study involving socio-economic impact assessment. In this case study, AHP has been used for capturing the perceptions of stakeholders on the relative severity of different socio-economic impacts, which will help the authorities in prioritizing their environmental management plan, and can also help in allocating the budget available for mitigating adverse socio-economic impacts.

  11. A Networked Perspective on the Engineering Design Process: At the Intersection of Process and Organisation Architectures

    DEFF Research Database (Denmark)

    Parraguez, Pedro

    projects often fail to be on time, on budget, and meeting specifications. Despite the wealth of process models available, previous approaches have been insufficient to provide a networked perspective that allows the challenging combination of organisational and process complexity to unfold. The lack...... the process. This combination of process structure—how people and activities are connected—and composition—the functional diversity of the groups participating in the process—is referred to as the actual design process architecture. This thesis reports on research undertaken to develop, apply and test......-driven reflection of the relationship between process architecture and performance, and to provide the means to compare process plans against the actual process. The framework is based on a multi-domain network approach to process architecture and draws on previous research using matrix-based and graph...

  12. Congestion estimation technique in the optical network unit registration process.

    Science.gov (United States)

    Kim, Geunyong; Yoo, Hark; Lee, Dongsoo; Kim, Youngsun; Lim, Hyuk

    2016-07-01

    We present a congestion estimation technique (CET) to estimate the optical network unit (ONU) registration success ratio for the ONU registration process in passive optical networks. An optical line terminal (OLT) estimates the number of collided ONUs via the proposed scheme during the serial number state. The OLT can obtain congestion level among ONUs to be registered such that this information may be exploited to change the size of a quiet window to decrease the collision probability. We verified the efficiency of the proposed method through simulation and experimental results.

  13. PEJA: Progressive Energy-Efficient Join Processing for Sensor Networks

    Institute of Scientific and Technical Information of China (English)

    Yong-Xuan Lai; Yi-Long Chen; Hong Chen

    2008-01-01

    Sensor networks are widely used in many applications to collaboratively collect information from the physical environment. In these applications, the exploration of the relationship and linkage of sensing data within multiple regions can be naturally expressed by joining tuples in these regions. However, the highly distributed and resource-constraint nature of the network makes join a challenging query. In this paper, we address the problem of processing join query among different regions progressively and energy-efficiently in sensor networks. The proposed algorithm PEJA (Progressive Energy-efficient Join Algorithm) adopts an event-driven strategy to output the joining results as soon as possible, and alleviates the storage shortage problem in the in-network nodes. It also installs filters in the joining regions to prune unmatchable tuples in the early processing phase, saving lots of unnecessary transmissions. Extensive experiments on both synthetic and real world data sets indicate that the PEJA scheme outperforms other join algorithms, and it is effective in reducing the number of transmissions and the delay of query results during the join processing.

  14. Living ordered neural networks as model systems for signal processing

    Science.gov (United States)

    Villard, C.; Amblard, P. O.; Becq, G.; Gory-Fauré, S.; Brocard, J.; Roth, S.

    2007-06-01

    Neural circuit architecture is a fundamental characteristic of the brain, and how architecture is bound to biological functions is still an open question. Some neuronal geometries seen in the retina or the cochlea are intriguing: information is processed in parallel by several entities like in "pooling" networks which have recently drawn the attention of signal processing scientists. These systems indeed exhibit the noise-enhanced processing effect, which is also actively discussed in the neuroscience community at the neuron scale. The aim of our project is to use in-vitro ordered neuron networks as living paradigms to test ideas coming from the computational science. The different technological bolts that have to be solved are enumerated and the first results are presented. A neuron is a polarised cell, with an excitatory axon and a receiving dendritic tree. We present how soma confinement and axon differentiation can be induced by surface functionalization techniques. The recording of large neuron networks, ordered or not, is also detailed and biological signals shown. The main difficulty to access neural noise in the case of weakly connected networks grown on micro electrode arrays is explained. This open the door to a new detection technology suitable for sub-cellular analysis and stimulation, whose development will constitute the next step of this project.

  15. The transmission process: A combinatorial stochastic process for the evolution of transmission trees over networks.

    Science.gov (United States)

    Sainudiin, Raazesh; Welch, David

    2016-12-07

    We derive a combinatorial stochastic process for the evolution of the transmission tree over the infected vertices of a host contact network in a susceptible-infected (SI) model of an epidemic. Models of transmission trees are crucial to understanding the evolution of pathogen populations. We provide an explicit description of the transmission process on the product state space of (rooted planar ranked labelled) binary transmission trees and labelled host contact networks with SI-tags as a discrete-state continuous-time Markov chain. We give the exact probability of any transmission tree when the host contact network is a complete, star or path network - three illustrative examples. We then develop a biparametric Beta-splitting model that directly generates transmission trees with exact probabilities as a function of the model parameters, but without explicitly modelling the underlying contact network, and show that for specific values of the parameters we can recover the exact probabilities for our three example networks through the Markov chain construction that explicitly models the underlying contact network. We use the maximum likelihood estimator (MLE) to consistently infer the two parameters driving the transmission process based on observations of the transmission trees and use the exact MLE to characterize equivalence classes over the space of contact networks with a single initial infection. An exploratory simulation study of the MLEs from transmission trees sampled from three other deterministic and four random families of classical contact networks is conducted to shed light on the relation between the MLEs of these families with some implications for statistical inference along with pointers to further extensions of our models. The insights developed here are also applicable to the simplest models of "meme" evolution in online social media networks through transmission events that can be distilled from observable actions such as "likes", "mentions

  16. Time series prediction using wavelet process neural network

    Institute of Scientific and Technical Information of China (English)

    Ding Gang; Zhong Shi-Sheng; Li Yang

    2008-01-01

    In the real world, the inputs of many complicated systems are time-varying functions or processes. In order to predict the outputs of these systems with high speed and accuracy, this paper proposes a time series prediction model based on the wavelet process neural network, and develops the corresponding learning algorithm based on the expansion of the orthogonal basis functions. The effectiveness of the proposed time series prediction model and its learning algorithm is proved by the Mackey-Glass time series prediction, and the comparative prediction results indicate that the proposed time series prediction model based on the wavelet process neural network seems to perform well and appears suitable for using as a good tool to predict the highly complex nonlinear time series.

  17. Performance Analysis for Wireless Networks: An Analytical Approach by Multifarious Sym Teredo

    Directory of Open Access Journals (Sweden)

    D. Shalini Punithavathani

    2014-01-01

    Full Text Available IPv4-IPv6 transition rolls out numerous challenges to the world of Internet as the Internet is drifting from IPv4 to IPv6. IETF recommends few transition techniques which includes dual stack and translation and tunneling. By means of tunneling the IPv6 packets over IPv4 UDP, Teredo maintains IPv4/IPv6 dual stack node in isolated IPv4 networks behindhand network address translation (NAT. However, the proposed tunneling protocol works with the symmetric and asymmetric NATs. In order to make a Teredo support several symmetric NATs along with several asymmetric NATs, we propose multifarious Sym Teredo (MTS, which is an extension of Teredo with a capability of navigating through several symmetric NATs. The work preserves the Teredo architecture and also offers a backward compatibility with the original Teredo protocol.

  18. Performance analysis for wireless networks: an analytical approach by multifarious Sym Teredo.

    Science.gov (United States)

    Punithavathani, D Shalini; Radley, Sheryl

    2014-01-01

    IPv4-IPv6 transition rolls out numerous challenges to the world of Internet as the Internet is drifting from IPv4 to IPv6. IETF recommends few transition techniques which includes dual stack and translation and tunneling. By means of tunneling the IPv6 packets over IPv4 UDP, Teredo maintains IPv4/IPv6 dual stack node in isolated IPv4 networks behindhand network address translation (NAT). However, the proposed tunneling protocol works with the symmetric and asymmetric NATs. In order to make a Teredo support several symmetric NATs along with several asymmetric NATs, we propose multifarious Sym Teredo (MTS), which is an extension of Teredo with a capability of navigating through several symmetric NATs. The work preserves the Teredo architecture and also offers a backward compatibility with the original Teredo protocol.

  19. Analytical Simulation and Performance Optimization for Spectrum Sensing in Cognitive Radio Networks

    Directory of Open Access Journals (Sweden)

    Ayman A. El-Saleh

    2011-02-01

    Full Text Available Dynamic spectrum allocation (DSA solutions such as cognitive radio networks (CRNs have been proposed as a key technology to exploit the frequency segments that are spectrally underutilized. In this paper, the performance of cooperative CRNs has been analyzed under two different operational modes, namely, constant primary user protection (CPUP and constant secondary user spectrum usability (CSUSU. The CRN performance metrics have been selected to be the overall CRN capacity and the overall interference from CRN to the primary users under CPUP and CSUSU scenario, respectively. Computer simulations are invoked to evaluate the CRN performance with varying the sensing time as well as the number of cooperating users in the network and the observations have been presented. Finally, particle swarm ptimization algorithm has been used to jointly optimize the sensing time duration and cooperation level of spectrum sensing in CRNs. The simulation results show that the CRN performance can be noticeably improved by applying suitable optimization algorithms.

  20. Multi-level anomaly detection: Relevance of big data analytics in networks

    Indian Academy of Sciences (India)

    Saad Y Sait; Akshay Bhandari; Shreya Khare; Cyriac James; Hema A Murthy

    2015-09-01

    The Internet has become a vital source of information; internal and external attacks threaten the integrity of the LAN connected to the Internet. In this work, several techniques have been described for detection of such threats. We have focussed on anomaly-based intrusion detection in the campus environment at the network edge. A campus LAN consisting of more than 9000 users with a 90 Mbps internet access link is a large network. Therefore, efficient techniques are required to handle such big data and to model user behaviour. Proxy server logs of a campus LAN and edge router traces have been used for anomalies like abusive Internet access, systematic downloading (internal threats) and DDoS attacks (external threat); our techniques involve machine learning and time series analysis applied at different layers in TCP/IP stack. Accuracy of our techniques has been demonstrated through extensive experimentation on huge and varied datasets. All the techniques are applicable at the edge and can be integrated into a Network Intrusion Detection System.