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Sample records for analytic network process

  1. SELECTION OF ONLINE SHOPPING SITE BASED ON ANALYTIC HIERARCHY PROCESS AND ANALYTIC NETWORK PROCESS METHODS

    OpenAIRE

    ÖMÜRBEK, Nuri; ŞİMŞEK, Ali

    2014-01-01

    Analytic Hierarchy Process and Analytic Network Process are common multi criteria decision-making methods. Analytic Hierarchy Process identifies the degree of importance of effective decision making criteria and ranks decision alternatives by making pairwise comparisons. Analytic Network Process, however, identifies the relationship and its direction between the criteria and the alternatives in order to solve problems in a network. In this study, Analytic Hierarchy Process and Analytic Networ...

  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. ANALYTIC HIERARCHY PROCESS FOR QOS EVALUATION OF MOBILE DATA NETWORKS

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    Daniel E. Asuquo

    2015-11-01

    Full Text Available The widespread demand for data applications over mobile networks requires that service providers guarantee a well-defined quality of service (QoS for subscribers. Evaluating the QoS provided by service providers within a geographical area to determine which network provides the best QoS is a challenging task. The complex nature of mobile networks with multi-criteria and conflicting factors makes good decision making difficult. This paper presents a measurement-based method called Analytic Hierarchy Process (AHP for evaluating QoS in application-specific and user-centric data on 3G mobile networks. The evaluation problem is formulated as a multi-criteria decision problem. Latency, jitter, data loss, and throughput are the parameters collected as criteria in drive testing over the mobile network. Decision matrix is applied to solve the problem by reaching a final ranking of the network based on the collected measured values of the problem parameters. A case study of 3G mobile networks in Uyo metropolis is used to show how this approach can be effective in ranking the QoS in data applications to determine which network provides the best QoS based on users’ perception of quality. The implemented results in Java indicate that Etisalat network is the alternative that offers the best QoS for web browsing application based on measured criteria. This is followed by Airtel and then MTN, while Glo is ranked least. The result provides useful information to decision makers for performance improvement on service quality.

  5. 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.

  6. 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. PMID:19197656

  7. Evaluation of a Light Machine Gun Using Analytic Network Process

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    Emel Kizilkaya Aydogan

    2009-05-01

    Full Text Available The light machine guns are among the significant fire support guns for the infantry. While the rapid advances in technology are improving the quality, these are also increasing the diversity, increasing the research carried out in the existing institutions and organisations.This is making the decision problem faced during the process complicated as well. To solve such problems, multiple criteria decision making methods are used. In this study, the selection of the light machine guns has been dealt as a multiple criteria decision making problem. To decide about the best machine gun, selection criteria of the best light machine gun is evaluated within a systematic feedback and a model pertaining to using Analytical Network Process (ANP in the selection of the weapons has been developed. The criteria pertaining to the alternative weapons have been determined, the necessary polls have been prepared and applied, and the results have been achieved using the Super Decisions 1.6.0 package program.Defence Science Journal, 2009, 59(3, pp.273-283, DOI:http://dx.doi.org/10.14429/dsj.59.1521

  8. 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.

  9. 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. PMID:26360215

  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. ON-LINE ANALYTICAL PROCESSING (OLAP ON NETWORKS

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    Dr.J.S. Sohal

    2012-09-01

    Full Text Available We propose a framework for efficient OLAP on networks with a focus on the most interesting kind, the topological OLAP (called “T- OLAP”, which incurs topological changes in the underlying networks. Topological OLAP operations generate new networks from the original ones by rolling up a subset of nodes chosen by certain constraintcriteria. The key challenge is to efficiently compute measures for the newly generated networks and handle user queries with varied constraints. The effective computational techniques, Topological-Distributiveness is proposed to achieve efficient query processing and cube materialization. We also provide a Topological OLAPquery processing framework into which this technique is weaved.

  12. 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.

  13. 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.

  14. Evaluation of a Light Machine Gun Using Analytic Network Process

    OpenAIRE

    Emel Kizilkaya Aydogan; Cevriye Gencer; Saim Aytürk

    2009-01-01

    The light machine guns are among the significant fire support guns for the infantry. While the rapid advances in technology are improving the quality, these are also increasing the diversity, increasing the research carried out in the existing institutions and organisations.This is making the decision problem faced during the process complicated as well. To solve such problems, multiple criteria decision making methods are used. In this study, the selection of the light machine guns has been ...

  15. Measuring the metallurgical supply chain resilience using fuzzy analytic network process

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    P. Wicher

    2016-10-01

    Full Text Available The article presents a methodology for measuring the metallurgical supply chain resilience, which enables the ascertainment of key resilience capabilities and measurable criteria, and determining a level of the resilience. The methodology is based on Analytic Network Process (ANP, which is used to solve the complex decision-making problems, whose structures can be mapped as non-linear networks. Since ambiguous pairwise comparisons expressed by fuzzy sets are considered, the Fuzzy Analytic Network Process (FANP is applied. The methodology is verified on the generalised model of a metallurgical supply chain. The SuperDecisions software was used for the application. The experiments performed demonstrate the high level of suitability of the FANP approach for measuring metallurgical supply chain resilience.

  16. A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN)

    OpenAIRE

    Muhammad eZubair

    2014-01-01

    The investigation of the nuclear accidents reveals that the accumulation of various technical and nontechnical lapses compounded the nuclear disaster. By using Analytic Hierarchy Process (AHP) and Bayesian Network (BN) the present research signifies the technical and nontechnical issues of nuclear accidents. The study exposed that besides technical fixes such as enhanced engineering safety features and better siting choices, the critical ingredient for safe operation of nuclear reactors lie i...

  17. A Hybrid Approach for Reliability Analysis Based on Analytic Hierarchy Process and Bayesian Network

    OpenAIRE

    Zubair, Muhammad

    2014-01-01

    By using analytic hierarchy process (AHP) and Bayesian Network (BN) the present research signifies the technical and non-technical issues of nuclear accidents. The study exposed that the technical faults was one major reason of these accidents. Keep an eye on other point of view it becomes clearer that human behavior like dishonesty, insufficient training, and selfishness are also play a key role to cause these accidents. In this study, a hybrid approach for reliability analysis based on AHP ...

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

    OpenAIRE

    Hadi Pazoki Toroudi; Mahsa Sadat Madani; Fatemeh Sarlak

    2016-01-01

    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 ...

  19. A robust evaluation of sustainability initiatives with analytic network process (ANP)

    OpenAIRE

    Lanndon Ocampo; Christine Omela Ocampo

    2015-01-01

    This paper presents a methodology on evaluating sustainable manufacturing initiatives using analytic network process (ANP) as its base.The evaluation method is anchored on the comprehensive sustainable manufacturing framework proposed recently in literature. A numerical example that involves an evaluation of five sustainable manufacturing initiatives is shown in this work. Results show that sustainable manufacturing implies enhancing customer and community well-being by means of addressing en...

  20. 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.

  1. 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

  2. Social network data analytics

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    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

  3. 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.

  4. 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.

  5. Penerapan Cutomer Relationship Management (CRM Dengan Menggunakan Metode Analytic Network Process (ANP Pada Perusahaan Ritel

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    Nofiyati Nofiyati

    2016-01-01

    Full Text Available Retail industry or retail business is a fast-growing business in the midst of global competition conditions. One strategy to attract more consumers are Customer Relationship Management (CRM. The successful implementation of CRM in the enterprise is influenced by several environmental perspectives, strategies, customers and products / services, processes, participants, infrastructure, and information technology are integrated in the framework of Work System (WS. This research was carried out by applying the method of Multiple Criteria Decision Making (MCDM that is able to accommodate the outer and inner linkage from multiple nodes / indicators are considered, namely the Analytical Network Process (ANP to rank the quality of implementation CRM in retail companies and strong influential node / indicator of the best retail among three alternative the consisting of Alfamart, Indomaret and Smesco mart. From the results of application ANP method, obtained the rank quality of implementation CRM in retail companies with first rank is Indomaret the value of 1.0000; and the second is Alfamart with a value 0.9575; and the third is Smesco mart with a value of 0.8034. While node / indicator strong influence on the the best retail is level of chaos, long and short term planning, customer service, system integration, appropriate skills, technical infrastructure, easily of use and accessibility of information.   Keywords: Ritel, Customer Relationship Management (CRM, Analytic Network Process (ANP, Kerangka Work System (WS.

  6. 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

  7. 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.

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

    Science.gov (United States)

    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.

  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. 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.

  11. 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.

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

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    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.

  13. An environmental pressure index proposal for urban development planning based on the analytic network process

    International Nuclear Information System (INIS)

    This paper introduces a new approach to prioritize urban planning projects according to their environmental pressure in an efficient and reliable way. It is based on the combination of three procedures: (i) the use of environmental pressure indicators, (ii) the aggregation of the indicators in an Environmental Pressure Index by means of the Analytic Network Process method (ANP) and (iii) the interpretation of the information obtained from the experts during the decision-making process. The method has been applied to a proposal for urban development of La Carlota airport in Caracas (Venezuela). There are three options which are currently under evaluation. They include a Health Club, a Residential Area and a Theme Park. After a selection process the experts chose the following environmental pressure indicators as ANP criteria for the project life cycle: used land area, population density, energy consumption, water consumption and waste generation. By using goal-oriented questionnaires designed by the authors, the experts determined the importance of the criteria, the relationships among criteria, and the relationships between the criteria and the urban development alternatives. The resulting data showed that water consumption is the most important environmental pressure factor, and the Theme Park project is by far the urban development alternative which exerts the least environmental pressure on the area. The participating experts coincided in appreciating the technique proposed in this paper is useful and, for ranking ordering these alternatives, an improvement from traditional techniques such as environmental impact studies, life-cycle analysis, etc.

  14. 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.

  15. 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

  16. 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.

  17. Evaluation of power plants in Turkey using Analytic Network Process (ANP)

    International Nuclear Information System (INIS)

    Energy is one of the most important parameters of the development of societies. Low cost, clean and secure energy supply is a common issue for all countries. Every country spends commercial and political effort to avoid not having sufficient energy and to ensure an uninterrupted energy supply. This study attempts to determine the suitability of existing power plants in Turkey and the plants that are being considered for establishment in the near future. The alternatives which are being considered are natural gas, wind, geothermal, hydroelectric, and coal/lignite energy plants as well as nuclear energy plants. By using the multi-criteria decision making technique of Analytic Network Process (ANP), a multi-criteria evaluations of six different energy plants were performed with respect to the major criteria such as technology and sustainability, economical suitability, life quality and socio-economic impacts. -- Highlights: ► The study attempted to lay out the criteria based on which power plant investments are evaluated. ► In the energy industry in Turkey and in the world, it is considerably difficult to access data on energy. ► This study will provide significant support for people working in the energy area and related decision makers in Turkey. ► The study is also thought to provide benefit decision makers in the world energy industry. ► It can provide great benefit in ensuring the security of the energy to be produced from power plant investments.

  18. The Application of the Analytic Network Process in Evaluating Assets Management of the Institution of Higher Education

    OpenAIRE

    Yong Zhao; Chunyan Shao

    2010-01-01

    The Analytic Network Process is a decision method developing on the basis of AHP. This article introduced thebasic theory of ANP and discussed its application in evaluating assets management of the institution of highereducation through establishing evaluation index system and confirming the weight of every index.

  19. Cryptography based on neural networks - analytical results

    International Nuclear Information System (INIS)

    The mutual learning process between two parity feed-forward networks with discrete and continuous weights is studied analytically, and we find that the number of steps required to achieve full synchronization between the two networks in the case of discrete weights is finite. The synchronization process is shown to be non-self-averaging and the analytical solution is based on random auxiliary variables. The learning time of an attacker that is trying to imitate one of the networks is examined analytically and is found to be much longer than the synchronization time. Analytical results are found to be in agreement with simulations. (letter to the editor)

  20. 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....

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

    OpenAIRE

    Ping-Yu Chang; Hsin-Yi Lin

    2015-01-01

    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 comp...

  2. Evaluation of options for energy recovery from municipal solid waste in India using the hierarchical analytical network process

    International Nuclear Information System (INIS)

    In this paper a Hierarchical Analytical Network Process (HANP) model is demonstrated for evaluating alternative technologies for generating electricity from MSW in India. The technological alternatives and evaluation criteria for the HANP study are characterised by reviewing the literature and consulting experts in the field of waste management. Technologies reviewed in the context of India include landfill, anaerobic digestion, incineration, pelletisation and gasification. To investigate the sensitivity of the result, we examine variations in expert opinions and carry out an Analytical Hierarchy Process (AHP) analysis for comparison. We find that anaerobic digestion is the preferred technology for generating electricity from MSW in India. Gasification is indicated as the preferred technology in an AHP model due to the exclusion of criteria dependencies and in an HANP analysis when placing a high priority on net output and retention time. We conclude that HANP successfully provides a structured framework for recommending which technologies to pursue in India, and the adoption of such tools is critical at a time when key investments in infrastructure are being made. Therefore the presented methodology is thought to have a wider potential for investors, policy makers, researchers and plant developers in India and elsewhere. - Highlights: • We evaluate alternative technologies for generating electricity from waste. • The methodology we develop is based on the analytical network process. • Assessment is made against technical, financial, environmental and risk criteria. • Anaerobic digestion and gasification are the preferred technologies for India. • The method reduces risk and ensures sustainability in energy project planning

  3. 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. PMID:20080331

  4. 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.

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

    OpenAIRE

    Chun Meng Tang; Miang Hong Ngerng

    2015-01-01

    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 co...

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

    International Nuclear Information System (INIS)

    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)

  8. 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…

  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. The Use of Analytic Network Process for Risk Assessment in Production of Renewable Energy from Agriculture Biomass in Latvia

    Directory of Open Access Journals (Sweden)

    Sandija Rivza

    2013-02-01

    Full Text Available Risk assessment is an important factor for successful and sustainable entrepreneurship of bioenergy production that has become one of the priorities in energy sector of Latvia. Promotion of the use of renewable energy is included as one of the strategic goals for European Union (EU and Latvia. As this field of energy production in Latvia is rather new and scantily explored there are many risk factors arising in different stages of production, starting with planning and building of a bioreactor and ending with production and further use and distribution of energy. The present research focuses on risk assessment in renewable energy production form biomass as this kind of energy is seen as a perspective source for renewable energy under the conditions of Latvia. A risk assessment module for renewable energy production made by using the Analytic Network Process (ANP software is described in the paper.

  11. Selecting the most appropriate maintenance strategies using fuzzy Analytic Network Process: A case study of Saipa vehicle industry

    Directory of Open Access Journals (Sweden)

    Mina Rahimi

    2014-04-01

    Full Text Available It is necessary for companies and industries to select the most appropriate maintenance strategy to increase the reliability and safety level with reasonable cost. The primary objective of this paper is to assess different maintenance strategies and to select the best and the most appropriate alternatives for Saipa vehicle industry in Tehran, Iran. For this purpose, we simultaneously consider numerous conflicting objectives and constraints. In this study to counter with this conflicting and to consider the dependency among the qualitative and quantitative criteria and sub-criteria, an integration of Analytic Network Process (ANP and fuzzy set theory are considered. Therefore, factors playing important role in selecting the best maintenance strategy are determined by reviewing the research literature and interviewing with the experts by Delphi technique. Considering the relations among different factors, a network with 4 criteria and 28 sub-criteria are proposed. In the next step, ANP technique is applied for ranking effective factors in evolution of appropriate maintenance strategy. Results reveal that the best maintenance strategy for fixture body of pride (setter is corrective maintenance.

  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 logist...

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

    OpenAIRE

    S. Hadizadeh Zargar; V. Hashemi Amri; Massoud, M

    2013-01-01

    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 appear...

  15. 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

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

    International Nuclear Information System (INIS)

    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

  17. Selection of Architecture Styles using Analytic Network Process for the Optimization of Software Architecture

    CERN Document Server

    Babu, K Delhi; Reddy, A Ramamohana; Kumari, A N Aruna

    2010-01-01

    The continuing process of software systems enlargement in size and complexity becomes system design extremely important for software production. In this way, the role of software architecture is significantly important in software development. It serves as an evaluation and implementation plan for software development and software evaluation. Consequently, choosing the correct architecture is a critical issue in software engineering domain. Moreover,software architecture selection is a multicriteria decision-making problem in which different goals and objectives must be taken into consideration. In this paper, more precise and suitable decisions in selection of architecture styles have been presented by using ANP inference to support decisions of software architects in order to exploit properties of styles in the best way to optimize the design of software architecture.

  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. 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.

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

    International Nuclear Information System (INIS)

    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

  1. 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.

  2. 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

  3. ANALYTICAL REPRESENTATION OF INDUSTRIAL PROCESSES

    Directory of Open Access Journals (Sweden)

    T. I. Chepeleva

    2009-01-01

    Full Text Available Investigation of mathematical models and problems of optimum industrial process has been carried out with the help of operational calculus theory, impulse function theory, set theory, time-tables, combinatory optimization. Analytical expressions describing discontinuous industrial process have been obtained and their geometrical interpretation is also given in the paper.

  4. Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production - a study in an Indian scenario

    DEFF Research Database (Denmark)

    Govindan, Kannan; Shankar, Madan; Kannan, Devika

    2016-01-01

    to hidden facts. Many researchers have explored such hidden facts in auto parts remanufacturing in developing nations and their emerging economies. However, there is a huge gap in the state-of-the-art remanufacturing practices in India, despite India's strong advancements in the automobile industry....... In fact, India's automobile industry is rapidly approaching that of China's in recent years. Although some studies are available regarding remanufacturing implementation, current research has generally failed to offer a deep analysis of the factors and barriers that exist as hurdles to such....... The data obtained from the case industry is processed with two solution methodologies: namely, interpretive structural modeling (ISM) and analytic network process (ANP). To avoid inaccuracies and vagueness in results, the data are manipulated under a fuzzy environment. This study reveals results which...

  5. 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.

  6. 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.

  7. 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.

  8. 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. PMID:27376847

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

    Science.gov (United States)

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

    2014-04-01

    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. PMID:24501275

  10. 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).

  11. Epidemic processes in complex networks

    CERN Document Server

    Pastor-Satorras, Romualdo; Van Mieghem, Piet; Vespignani, Alessandro

    2014-01-01

    In recent years the research community has accumulated overwhelming evidence for the emergence of complex and heterogeneous connectivity patterns in a wide range of biological and socio-technical systems. The complex properties of real world networks have a profound impact on the behavior of equilibrium and non-equilibrium phenomena occurring in various systems, and the study of epidemic spreading is central to our understanding of the unfolding of dynamical processes in complex networks. The theoretical analysis of epidemic spreading in heterogeneous networks requires the development of novel analytical frameworks, and it has produced results of conceptual and practical relevance. Here we present a coherent and comprehensive review of the vast research activity concerning epidemic processes, detailing the successful theoretical approaches as well as making their limits and assumptions clear. Physicists, epidemiologists, computer and social scientists share a common interest in studying epidemic spreading and...

  12. Process analytical technology (PAT) for biopharmaceuticals

    DEFF Research Database (Denmark)

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

    2011-01-01

    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...

  13. 基于模糊层次分析法的电信业务网项目后评价研究%Project post evaluation system for telecommunication services network items base on the fuzzy analytic hierarchy process

    Institute of Scientific and Technical Information of China (English)

    夏兴平

    2012-01-01

    Aiming at the defects of traditional project post evaluation methods of defects, this paper puts forward a method of using the fuzzy analytic hierarchy process to telecommunication service network projects for comprehensive evaluation. According to the characteristics of telecommunication service network project and project post evaluation analysis framework , it constructs telecommunication service network project investment evaluation index system. And through the analysis of examples, a comprehensive evaluation is conducted by using the fuzzy analytic hierarchy process on the expansion project of the fixed Softswitch of Chongqing telecom in 2005 , The evaluation results show that the fuzzy analytic hierarchy process in a telecommunication service network project post evaluation has rationality and maneuverability.%针对传统的项目后评价方法的缺陷,提出了运用模糊层次分析法对电信业务网项目进行综合评价.根据电信业务网项目的特点和项目后评价分析框架,构建了电信业务网项目投资后评价指标体系.并通过实例分析,运用模糊层次分析法对重庆电信2005年固网软交换设备扩容工程进行了综合评价,评价结果证明,模糊层次分析法在电信业务网项目后评价中具有合理性和可操作性.

  14. Piecewise deterministic Markov processes: an analytic approach

    OpenAIRE

    Alkurdi, Taleb Salameh Odeh

    2013-01-01

    The subject of this thesis, piecewise deterministic Markov processes, an analytic approach, is on the border between analysis and probability theory. Such processes can either be viewed as random perturbations of deterministic dynamical systems in an impulsive fashion, or as a particular kind of stochastic process in continuous time in which parts of the sample trajectories are deterministic. Accordingly, questions concerning theses processes may be approached starting from either side. The a...

  15. Piecewise deterministic Markov processes : an analytic approach

    NARCIS (Netherlands)

    Alkurdi, Taleb Salameh Odeh

    2013-01-01

    The subject of this thesis, piecewise deterministic Markov processes, an analytic approach, is on the border between analysis and probability theory. Such processes can either be viewed as random perturbations of deterministic dynamical systems in an impulsive fashion, or as a particular kind of sto

  16. Microsystem process networks

    Science.gov (United States)

    Wegeng, Robert S.; TeGrotenhuis, Ward E.; Whyatt, Greg A.

    2006-10-24

    Various aspects and applications of microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having exergetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  17. 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.

  18. Epidemic processes in complex networks

    Science.gov (United States)

    Pastor-Satorras, Romualdo; Castellano, Claudio; Van Mieghem, Piet; Vespignani, Alessandro

    2015-07-01

    In recent years the research community has accumulated overwhelming evidence for the emergence of complex and heterogeneous connectivity patterns in a wide range of biological and sociotechnical systems. The complex properties of real-world networks have a profound impact on the behavior of equilibrium and nonequilibrium phenomena occurring in various systems, and the study of epidemic spreading is central to our understanding of the unfolding of dynamical processes in complex networks. The theoretical analysis of epidemic spreading in heterogeneous networks requires the development of novel analytical frameworks, and it has produced results of conceptual and practical relevance. A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear. Physicists, mathematicians, epidemiologists, computer, and social scientists share a common interest in studying epidemic spreading and rely on similar models for the description of the diffusion of pathogens, knowledge, and innovation. For this reason, while focusing on the main results and the paradigmatic models in infectious disease modeling, the major results concerning generalized social contagion processes are also presented. Finally, the research activity at the forefront in the study of epidemic spreading in coevolving, coupled, and time-varying networks is reported.

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

    Science.gov (United States)

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

    2013-01-01

    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. PMID:22977096

  20. An analytical framework for local feedforward networks.

    Science.gov (United States)

    Weaver, S; Baird, L; Polycarpou, M

    1998-01-01

    Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are referred to as spatially local networks. To obtain a better understanding of these properties, a theoretical framework, consisting of a measure of interference and a measure of network localization, is developed. These measures incorporate not only the network weights and architecture but also the learning algorithm. Using this framework to analyze sigmoidal, multilayer perceptron (MLP) networks that employ the backpropagation learning algorithm on the quadratic cost function, we address a familiar misconception that single-hidden-layer sigmoidal networks are inherently nonlocal by demonstrating that given a sufficiently large number of adjustable weights, single-hidden-layer sigmoidal MLP's exist that are arbitrarily local and retain the ability to approximate any continuous function on a compact domain. PMID:18252471

  1. Analytical treatment of parallel resonance network

    International Nuclear Information System (INIS)

    In order to investigate the resonant behavior in the parallel network for the fast cycling synchrotron power supply, a theoretical model is introduced by assuming that a train of half-sinusoidal input current pulses is given to the magnet circuit through a choke transformer from a pulse power supply which only feeds the power lost in the network at every operation cycle. The same method can be applied to the distributed multi-mesh network. (author)

  2. 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...

  3. Analytic Moment-based Gaussian Process Filtering

    OpenAIRE

    Deisenroth, Marc P.; Huber, Marco F.; Hanebeck, Uwe D.

    2009-01-01

    We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matrix are provided for both the prediction step and the filter step, where an additional Gaussian assumption is exploited in the latter case. Our filter does not require further approximations. In particular, it avoids finite-sample approximations. We compare the filter to a variety of Gaussian filters, that is, the EKF...

  4. Spreading processes in Multilayer Networks

    OpenAIRE

    Salehi, Mostafa; Sharma, Rajesh; Marzolla, Moreno; Magnani, Matteo; Siyari, Payam; Montesi, Danilo

    2014-01-01

    Several systems can be modeled as sets of interconnected networks or networks with multiple types of connections, here generally called multilayer networks. Spreading processes such as information propagation among users of an online social networks, or the diffusion of pathogens among individuals through their contact network, are fundamental phenomena occurring in these networks. However, while information diffusion in single networks has received considerable attention from various discipl...

  5. Implementation of a communication and control network for the instruments of a nuclear analytical laboratory

    International Nuclear Information System (INIS)

    This paper describes the implementation of a communication network and control for a conventional laboratory instruments and nuclear analytical processes based on CAN open field bus to control devices and machines. Hardware components and software developed as well as installation and configuration tools for incorporating new instruments to the network re presented. (authors).

  6. An Analytical Approach for Mobility Load Balancing in Wireless Networks

    OpenAIRE

    Sarhan M. Musa; Mir, Nader F.

    2011-01-01

    Management of mobility especially balancing the load of handoff for wireless networks is an essential parameter for wireless network design and traffic study. In this paper, we present analytical mobility management in high speed wireless mobile networks focusing on factors such as the number of channel slots and offered load. We demonstrate the performance of handoffs with mobility consideration using several metrics including the alteration of states prior to reaching a cell boundary, the s...

  7. Generalized epidemic process on modular networks

    OpenAIRE

    Chung, Kihong; Baek, Yongjoo; 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...

  8. Network analytical tool for monitoring global food safety highlights China.

    Directory of Open Access Journals (Sweden)

    Tamás Nepusz

    Full Text Available BACKGROUND: The Beijing Declaration on food safety and security was signed by over fifty countries with the aim of developing comprehensive programs for monitoring food safety and security on behalf of their citizens. Currently, comprehensive systems for food safety and security are absent in many countries, and the systems that are in place have been developed on different principles allowing poor opportunities for integration. METHODOLOGY/PRINCIPAL FINDINGS: We have developed a user-friendly analytical tool based on network approaches for instant customized analysis of food alert patterns in the European dataset from the Rapid Alert System for Food and Feed. Data taken from alert logs between January 2003-August 2008 were processed using network analysis to i capture complexity, ii analyze trends, and iii predict possible effects of interventions by identifying patterns of reporting activities between countries. The detector and transgressor relationships are readily identifiable between countries which are ranked using i Google's PageRank algorithm and ii the HITS algorithm of Kleinberg. The program identifies Iran, China and Turkey as the transgressors with the largest number of alerts. However, when characterized by impact, counting the transgressor index and the number of countries involved, China predominates as a transgressor country. CONCLUSIONS/SIGNIFICANCE: This study reports the first development of a network analysis approach to inform countries on their transgressor and detector profiles as a user-friendly aid for the adoption of the Beijing Declaration. The ability to instantly access the country-specific components of the several thousand annual reports will enable each country to identify the major transgressors and detectors within its trading network. Moreover, the tool can be used to monitor trading countries for improved detector/transgressor ratios.

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

    OpenAIRE

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

    2014-01-01

    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 fa...

  10. Risk prioritisation using the analytic hierarchy process

    Science.gov (United States)

    Sum, Rabihah Md.

    2015-12-01

    This study demonstrated how to use the Analytic Hierarchy Process (AHP) to prioritise risks of an insurance company. AHP is a technique to structure complex problems by arranging elements of the problems in a hierarchy, assigning numerical values to subjective judgements on the relative importance of the elements and synthesizing the judgements to determine which elements have the highest priority. The study is motivated by wide application of AHP as a prioritisation technique in complex problems. It aims to show AHP is able to minimise some limitations of risk assessment technique using likelihood and impact. The study shows AHP is able to provide consistency check on subjective judgements, organise a large number of risks into a structured framework, assist risk managers to make explicit risk trade-offs, and provide an easy to understand and systematic risk assessment process.

  11. 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.

  12. A Performance Analytical Strategy for Network-on-Chip Router with Input Buffer Architecture

    Directory of Open Access Journals (Sweden)

    WANG, J.

    2012-11-01

    Full Text Available In this paper, a performance analytical strategy is proposed for Network-on-Chip router with input buffer architecture. First, an analytical model is developed based on semi-Markov process. For the non-work-conserving router with small buffer size, the model can be used to analyze the schedule delay and the average service time for each buffer when given the related parameters. Then, the packet average delay in router is calculated by using the model. Finally, we validate the effectiveness of our strategy by simulation. By comparing our analytical results to simulation results, we show that our strategy successfully captures the Network-on-Chip router performance and it performs better than the state-of-art technology. Therefore, our strategy can be used as an efficiency performance analytical tool for Network-on-Chip design.

  13. 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

  14. 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.

  15. 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…

  16. Z-MAC an Analytical Model for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Ramchand V

    2011-12-01

    Full Text Available This paper presents an analytical model for estimat ing throughput and energy consumption in Z-MAC protocol for Wireless Sensor Networks. The analytic al design includes transmission power control and transmission of frames through one hop, two hop and multi hop. Proposed model reduces collision under low contention level as well as high contention lev el with the use of explicit contention notification . The proposed protocol has been simulated using MATLAB. The simulations reveal better results for throughpu t and energy consumption of the proposed model as com pared to Z-MAC protoco

  17. Analytic treatment of the network synchronization problem with time delays

    CERN Document Server

    Hod, Shahar

    2010-01-01

    Motivated by novel results in the theory of network synchronization, we analyze the effects of nonzero time delays in stochastic synchronization problems with linear couplings in an arbitrary network. We determine {\\it analytically} the fundamental limit of synchronization efficiency in a noisy environment with uniform time delays. We show that the optimal efficiency of the network is achieved for $\\lambda\\tau={{\\pi^{3/2}}\\over{2\\sqrt{\\pi}+4}}\\approx0.738$, where $\\lambda$ is the coupling strength (relaxation coefficient) and $\\tau$ is the characteristic time delay in the communication between pairs of nodes. Our analysis reveals the underlying mechanism responsible for the trade-off phenomena observed in recent numerical simulations of network synchronization problems.

  18. 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.

  19. Risk Evaluation of Information System Security Based on Neural Network and Analytic Hierarchy Process%层次分析法和神经网络的信息系统风险评估

    Institute of Scientific and Technical Information of China (English)

    赵保华

    2015-01-01

    In order to improve the accuracy of the risk assessment of the information system ,a new method for risk assessment of information system based on analytic analysis process and neural network e is proposed . The experimental results show that the proposed model can avoid the defect of determining weights of evaluation indexes artificially ,accurately describe the information system risk characteristics ,enhance the accuracy of the information system risk assessment , and can provide valuable reference information for the information systems security management personnel .%为了提高信息系统风险评估的准确性,提出一种层次分析法和神经网络的信息系统风险评估模型(A H P-BP)。结果表明,此模型有效避免了人为确定评估指标权重的缺陷,可以准确描述信息系统风险变化特点,提高了信息系统风险的评估精度,能够为信息安全管理人员提供有价值的参考信息。

  20. Análisis y selección de estrategias para el fomento de las energías renovables no convencionales en Colombia a partir de la priorización de las barreras para su desarrollo basado en Analytical Network Process

    OpenAIRE

    RIBÓ PÉREZ, DAVID GABRIEL

    2015-01-01

    Ribó Pérez, DG. (2015). Análisis y selección de estrategias para el fomento de las energías renovables no convencionales en Colombia a partir de la priorización de las barreras para su desarrollo basado en Analytical Network Process. http://hdl.handle.net/10251/56022.

  1. Analytical framework for recurrence-network analysis of time series

    CERN Document Server

    Donges, Jonathan F; Donner, Reik V; Kurths, Jürgen

    2012-01-01

    Recurrence networks are a powerful nonlinear tool for time series analysis of complex dynamical systems. {While there are already many successful applications ranging from medicine to paleoclimatology, a solid theoretical foundation of the method has still been missing so far. Here, we interpret an $\\varepsilon$-recurrence network as a discrete subnetwork of a "continuous" graph with uncountably many vertices and edges corresponding to the system's attractor. This step allows us to show that various statistical measures commonly used in complex network analysis can be seen as discrete estimators of newly defined continuous measures of certain complex geometric properties of the attractor on the scale given by $\\varepsilon$.} In particular, we introduce local measures such as the $\\varepsilon$-clustering coefficient, mesoscopic measures such as $\\varepsilon$-motif density, path-based measures such as $\\varepsilon$-betweennesses, and global measures such as $\\varepsilon$-efficiency. This new analytical basis fo...

  2. Accurate Load Modeling Based on Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Zhenshu Wang

    2016-01-01

    Full Text Available Establishing an accurate load model is a critical problem in power system modeling. That has significant meaning in power system digital simulation and dynamic security analysis. The synthesis load model (SLM considers the impact of power distribution network and compensation capacitor, while randomness of power load is more precisely described by traction power system load model (TPSLM. On the basis of these two load models, a load modeling method that combines synthesis load with traction power load is proposed in this paper. This method uses analytic hierarchy process (AHP to interact with two load models. Weight coefficients of two models can be calculated after formulating criteria and judgment matrixes and then establishing a synthesis model by weight coefficients. The effectiveness of the proposed method was examined through simulation. The results show that accurate load modeling based on AHP can effectively improve the accuracy of load model and prove the validity of this method.

  3. Neural networks in signal processing

    International Nuclear Information System (INIS)

    Nuclear Engineering has matured during the last decade. In research and design, control, supervision, maintenance and production, mathematical models and theories are used extensively. In all such applications signal processing is embedded in the process. Artificial Neural Networks (ANN), because of their nonlinear, adaptive nature are well suited to such applications where the classical assumptions of linearity and second order Gaussian noise statistics cannot be made. ANN's can be treated as nonparametric techniques, which can model an underlying process from example data. They can also adopt their model parameters to statistical change with time. Algorithms in the framework of Neural Networks in Signal processing have found new applications potentials in the field of Nuclear Engineering. This paper reviews the fundamentals of Neural Networks in signal processing and their applications in tasks such as recognition/identification and control. The topics covered include dynamic modeling, model based ANN's, statistical learning, eigen structure based processing and generalization structures. (orig.)

  4. Analytical solution of a stochastic content-based network model

    International Nuclear Information System (INIS)

    We define and completely solve a content-based directed network whose nodes consist of random words and an adjacency rule involving perfect or approximate matches for an alphabet with an arbitrary number of letters. The analytic expression for the out-degree distribution shows a crossover from a leading power law behaviour to a log-periodic regime bounded by a different power law decay. The leading exponents in the two regions have a weak dependence on the mean word length, and an even weaker dependence on the alphabet size. The in-degree distribution, on the other hand, is much narrower and does not show any scaling behaviour

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

    OpenAIRE

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

    2013-01-01

    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...

  6. 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...

  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. Entropy-based heavy tailed distribution transformation and visual analytics for monitoring massive network traffic

    Science.gov (United States)

    Han, Keesook J.; Hodge, Matthew; Ross, Virginia W.

    2011-06-01

    For monitoring network traffic, there is an enormous cost in collecting, storing, and analyzing network traffic datasets. Data mining based network traffic analysis has a growing interest in the cyber security community, but is computationally expensive for finding correlations between attributes in massive network traffic datasets. To lower the cost and reduce computational complexity, it is desirable to perform feasible statistical processing on effective reduced datasets instead of on the original full datasets. Because of the dynamic behavior of network traffic, traffic traces exhibit mixtures of heavy tailed statistical distributions or overdispersion. Heavy tailed network traffic characterization and visualization are important and essential tasks to measure network performance for the Quality of Services. However, heavy tailed distributions are limited in their ability to characterize real-time network traffic due to the difficulty of parameter estimation. The Entropy-Based Heavy Tailed Distribution Transformation (EHTDT) was developed to convert the heavy tailed distribution into a transformed distribution to find the linear approximation. The EHTDT linearization has the advantage of being amenable to characterize and aggregate overdispersion of network traffic in realtime. Results of applying the EHTDT for innovative visual analytics to real network traffic data are presented.

  9. 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.

  10. On the propagation of diel signals in river networks using analytic solutions of flow equations

    Science.gov (United States)

    Fonley, M.; Mantilla, R.; Small, S. J.; Curtu, R.

    2015-08-01

    Two hypotheses have been put forth to explain the magnitude and timing of diel streamflow oscillations during low flow conditions. The first suggests that delays between the peaks and troughs of streamflow and daily evapotranspiration are due to processes occurring in the soil as water moves toward the channels in the river network. The second posits that they are due to the propagation of the signal through the channels as water makes its way to the outlet of the basin. In this paper, we design and implement a theoretical experiment to test these hypotheses. We impose a baseflow signal entering the river network and use a linear transport equation to represent flow along the network. We develop analytic streamflow solutions for two cases: uniform and nonuniform velocities in space over all river links. We then use our analytic solutions to simulate streamflows along a self-similar river network for different flow velocities. Our results show that the amplitude and time delay of the streamflow solution are heavily influenced by transport in the river network. Moreover, our equations show that the geomorphology and topology of the river network play important roles in determining how amplitude and signal delay are reflected in streamflow signals. Finally, our results are consistent with empirical observations that delays are more significant as low flow decreases.

  11. Requirements for learning scenario and learning process analytics

    OpenAIRE

    Schneider, Daniel; Class, Barbara; Benetos, Kalliopi; Lange, Marielle

    2012-01-01

    This contribution attempts to define what kind of learning analytics both learners and teachers should have in various forms of project-oriented learning designs in order to enhance the learning and teaching process within learning scenarios.

  12. 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. PMID:26985881

  13. 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.

  14. Information Network Model Query Processing

    Science.gov (United States)

    Song, Xiaopu

    Information Networking Model (INM) [31] is a novel database model for real world objects and relationships management. It naturally and directly supports various kinds of static and dynamic relationships between objects. In INM, objects are networked through various natural and complex relationships. INM Query Language (INM-QL) [30] is designed to explore such information network, retrieve information about schema, instance, their attributes, relationships, and context-dependent information, and process query results in the user specified form. INM database management system has been implemented using Berkeley DB, and it supports INM-QL. This thesis is mainly focused on the implementation of the subsystem that is able to effectively and efficiently process INM-QL. The subsystem provides a lexical and syntactical analyzer of INM-QL, and it is able to choose appropriate evaluation strategies and index mechanism to process queries in INM-QL without the user's intervention. It also uses intermediate result structure to hold intermediate query result and other helping structures to reduce complexity of query processing.

  15. Multiple criteria inventory classification using fuzzy analytic hierarchy process

    OpenAIRE

    M. Ahsan Akhtar Hasin; Golam Kabir

    2012-01-01

    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 Hierar...

  16. An analytical study of various telecomminication networks using markov models

    Science.gov (United States)

    Ramakrishnan, M.; Jayamani, E.; Ezhumalai, P.

    2015-04-01

    The main aim of this paper is to examine issues relating to the performance of various Telecommunication networks, and applied queuing theory for better design and improved efficiency. Firstly, giving an analytical study of queues deals with quantifying the phenomenon of waiting lines using representative measures of performances, such as average queue length (on average number of customers in the queue), average waiting time in queue (on average time to wait) and average facility utilization (proportion of time the service facility is in use). In the second, using Matlab simulator, summarizes the finding of the investigations, from which and where we obtain results and describing methodology for a) compare the waiting time and average number of messages in the queue in M/M/1 and M/M/2 queues b) Compare the performance of M/M/1 and M/D/1 queues and study the effect of increasing the number of servers on the blocking probability M/M/k/k queue model.

  17. 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. .

  18. Analytical advantages of multivariate data processing. One, two, three, infinity?

    Science.gov (United States)

    Olivieri, Alejandro C

    2008-08-01

    Multidimensional data are being abundantly produced by modern analytical instrumentation, calling for new and powerful data-processing techniques. Research in the last two decades has resulted in the development of a multitude of different processing algorithms, each equipped with its own sophisticated artillery. Analysts have slowly discovered that this body of knowledge can be appropriately classified, and that common aspects pervade all these seemingly different ways of analyzing data. As a result, going from univariate data (a single datum per sample, employed in the well-known classical univariate calibration) to multivariate data (data arrays per sample of increasingly complex structure and number of dimensions) is known to provide a gain in sensitivity and selectivity, combined with analytical advantages which cannot be overestimated. The first-order advantage, achieved using vector sample data, allows analysts to flag new samples which cannot be adequately modeled with the current calibration set. The second-order advantage, achieved with second- (or higher-) order sample data, allows one not only to mark new samples containing components which do not occur in the calibration phase but also to model their contribution to the overall signal, and most importantly, to accurately quantitate the calibrated analyte(s). No additional analytical advantages appear to be known for third-order data processing. Future research may permit, among other interesting issues, to assess if this "1, 2, 3, infinity" situation of multivariate calibration is really true. PMID:18613646

  19. Functional Analytic Psychotherapy for Interpersonal Process Groups: A Behavioral Application

    Science.gov (United States)

    Hoekstra, Renee

    2008-01-01

    This paper is an adaptation of Kohlenberg and Tsai's work, Functional Analytical Psychotherapy (1991), or FAP, to group psychotherapy. This author applied a behavioral rationale for interpersonal process groups by illustrating key points with a hypothetical client. Suggestions are also provided for starting groups, identifying goals, educating…

  20. 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.

  1. On-line analytical processing with conceptual information systems

    OpenAIRE

    Stumme, Gerd

    1998-01-01

    A conceptual information system consists of a database together with conceptual hierarchies. The management system TOSCANA visualizes arbitrary combinations of conceptual hierarchies by nested line diagrams and allows an on-line interaction with a database to analyze data conceptually. The paper describes the conception of conceptual information systems and discusses the use of their visualization techniques for on-line analytical processing (OLAP).

  2. An analytical approach to photonic reservoir computing - a network of SOA's - for noisy speech recognition

    Science.gov (United States)

    Salehi, Mohammad Reza; Abiri, Ebrahim; Dehyadegari, Louiza

    2013-10-01

    This paper seeks to investigate an approach of photonic reservoir computing for optical speech recognition on an examination isolated digit recognition task. An analytical approach in photonic reservoir computing is further drawn on to decrease time consumption, compared to numerical methods; which is very important in processing large signals such as speech recognition. It is also observed that adjusting reservoir parameters along with a good nonlinear mapping of the input signal into the reservoir, analytical approach, would boost recognition accuracy performance. Perfect recognition accuracy (i.e. 100%) can be achieved for noiseless speech signals. For noisy signals with 0-10 db of signal to noise ratios, however, the accuracy ranges observed varied between 92% and 98%. In fact, photonic reservoir application demonstrated 9-18% improvement compared to classical reservoir networks with hyperbolic tangent nodes.

  3. Automated refinement and inference of analytical models for metabolic networks

    Science.gov (United States)

    Schmidt, Michael D.; Vallabhajosyula, Ravishankar R.; Jenkins, Jerry W.; Hood, Jonathan E.; Soni, Abhishek S.; Wikswo, John P.; Lipson, Hod

    2011-10-01

    The reverse engineering of metabolic networks from experimental data is traditionally a labor-intensive task requiring a priori systems knowledge. Using a proven model as a test system, we demonstrate an automated method to simplify this process by modifying an existing or related model--suggesting nonlinear terms and structural modifications--or even constructing a new model that agrees with the system's time series observations. In certain cases, this method can identify the full dynamical model from scratch without prior knowledge or structural assumptions. The algorithm selects between multiple candidate models by designing experiments to make their predictions disagree. We performed computational experiments to analyze a nonlinear seven-dimensional model of yeast glycolytic oscillations. This approach corrected mistakes reliably in both approximated and overspecified models. The method performed well to high levels of noise for most states, could identify the correct model de novo, and make better predictions than ordinary parametric regression and neural network models. We identified an invariant quantity in the model, which accurately derived kinetics and the numerical sensitivity coefficients of the system. Finally, we compared the system to dynamic flux estimation and discussed the scaling and application of this methodology to automated experiment design and control in biological systems in real time.

  4. Automated refinement and inference of analytical models for metabolic networks

    International Nuclear Information System (INIS)

    The reverse engineering of metabolic networks from experimental data is traditionally a labor-intensive task requiring a priori systems knowledge. Using a proven model as a test system, we demonstrate an automated method to simplify this process by modifying an existing or related model-–suggesting nonlinear terms and structural modifications–-or even constructing a new model that agrees with the system's time series observations. In certain cases, this method can identify the full dynamical model from scratch without prior knowledge or structural assumptions. The algorithm selects between multiple candidate models by designing experiments to make their predictions disagree. We performed computational experiments to analyze a nonlinear seven-dimensional model of yeast glycolytic oscillations. This approach corrected mistakes reliably in both approximated and overspecified models. The method performed well to high levels of noise for most states, could identify the correct model de novo, and make better predictions than ordinary parametric regression and neural network models. We identified an invariant quantity in the model, which accurately derived kinetics and the numerical sensitivity coefficients of the system. Finally, we compared the system to dynamic flux estimation and discussed the scaling and application of this methodology to automated experiment design and control in biological systems in real time

  5. SensePath: understanding the sensemaking process through analytic provenance

    OpenAIRE

    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 recurrin...

  6. 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

  7. 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...

  8. 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)

  9. Material for the Encyclopaedic Dictionary of Croatian Analytical Terminology. Part II. Quality Assurance of Analytical Processes - Fundamental Terms

    OpenAIRE

    Grdinić, V

    2010-01-01

    Terms from the field of quality assurance of analytical processes that are significant for this type of analytical practice have been systemized. Assurance of analytical quality encompasses: (1) quality control, procedures and actions developed and carried out in order to achieve measurements of required quality; and (2) quality assessment, procedures and actions used to verify that quality management system is being run within acceptable limits in order to evaluate the quality of analytical ...

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

    OpenAIRE

    Siti Komsiyah

    2014-01-01

    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 desc...

  11. ANALYTICAL HIERARCHICAL PROCESS BASED SYSTEM FOR IMAGE FUSION

    OpenAIRE

    Ashok Kumar; Amruta Shelar; Jim Etheredge; Sandhya Prakash; Sudhansh Sharma; MP Mishra

    2015-01-01

    Image fusion has been rapidly gaining importance in application areas such as medical imaging, remote sensing, robotics, navigation and the military. This has led to emergence of several algorithms for image fusion for generating more precise images. This paper presents a novel approach of selecting best image fusion algorithm for a given scenario using Analytical Hierarchical Process (AHP) involving eigen vectors. Evaluations of the proposed approach indicate higher quality of fu...

  12. ANALYTICAL HIERARCHICAL PROCESS BASED SYSTEM FOR IMAGE FUSION

    Directory of Open Access Journals (Sweden)

    Ashok Kumar

    2015-10-01

    Full Text Available Image fusion has been rapidly gaining importance in application areas such as medical imaging, remote sensing, robotics, navigation and the military. This has led to emergence of several algorithms for image fusion for generating more precise images. This paper presents a novel approach of selecting best image fusion algorithm for a given scenario using Analytical Hierarchical Process (AHP involving eigen vectors. Evaluations of the proposed approach indicate higher quality of fused images.

  13. THE USE OF ONLINE ANALYTICAL PROCESSING (OLAP) FOR BUSINESS INTELLIGENCE

    OpenAIRE

    brahim Halil Seyrek

    2007-01-01

    The extensive use of information technology enables organizations to collect huge amounts of data about almost every aspect of their businesses. This large amount of data has a potential to provide valuable information to organizations so that they can maintain and improve their competitive position. Today, the problem for organizations is not data collection but extraction of meaning from the data they have collected. Online Analytical Processing (OLAP) is a set of tools to extract useful in...

  14. Analytical calculation of heavy quarkonia production processes in computer

    OpenAIRE

    Braguta, V. V.; Likhoded, A. K.; Luchinsky, A. V.; Poslavsky, S. V.

    2013-01-01

    This report is devoted to the analytical calculation of heavy quarkonia production processes in modern experiments such as LHC, B-factories and superB-factories in computer. Theoretical description of heavy quarkonia is based on the factorization theorem. This theorem leads to special structure of the production amplitudes which can be used to develop computer algorithm which calculates these amplitudes automatically. This report is devoted to the description of this algorithm. As an example ...

  15. ANALYTICAL HIERARCHY PROCESS FOR IDENTIFICATION OF ATTRIBUTES FOR TPM IMPLEMENTATION

    OpenAIRE

    Abhishek Jain; Gupta, R. C.; S. C. Soni

    2014-01-01

    Total Productivity Maintenance is one of the effective strategy designed primarily to maximize the effectiveness of equipment throughout its entire life by the participation and motivation of the entire workforce. The paper presents the Analytic Hierarchy Process (AHP) methodology for the implementation of Total Productivity Maintenance (TPM) in an organization. A TPM implementation methodology has been developed for identification of weight and priorities of TPM attributes by using pare-wise...

  16. 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.

  17. Analytical formulas for calculating the blocking probability of a dynamic star network

    Institute of Scientific and Technical Information of China (English)

    Jiajia Chen; Xiang Lü; Sailing He

    2005-01-01

    For a dynamic routing and wavelength assignment (RWA) a star topology is shown to be more efficient in comparison with a ring topology. Analytical formulas for a dynamic RWA in a star network are presented and verified with virtual simulation.

  18. 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.

  19. "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.

  20. Analytical and experimental study on complex compressed air pipe network

    Science.gov (United States)

    Gai, Yushou; Cai, Maolin; Shi, Yan

    2015-09-01

    To analyze the working characteristics of complex compressed air networks, numerical methods are widely used which are based on finite element technology or intelligent algorithms. However, the effectiveness of the numerical methods is limited. In this paper, to provide a new method to optimize the design and the air supply strategy of the complex compressed air pipe network, firstly, a novel method to analyze the topology structure of the compressed air flow in the pipe network is initially proposed. A matrix is used to describe the topology structure of the compressed air flow. Moreover, based on the analysis of the pressure loss of the pipe network, the relationship between the pressure and the flow of the compressed air is derived, and a prediction method of pressure fluctuation and air flow in a segment in a complex pipe network is proposed. Finally, to inspect the effectiveness of the method, an experiment with a complex network is designed. The pressure and the flow of airflow in the network are measured and studied. The results of the study show that, the predicted results with the proposed method have a good consistency with the experimental results, and that verifies the air flow prediction method of the complex pipe network. This research proposes a new method to analyze the compressed air network and a prediction method of pressure fluctuation and air flow in a segment, which can predicate the fluctuation of the pressure according to the flow of compressed air, and predicate the fluctuation of the flow according to the pressure in a segment of a complex pipe network.

  1. Applying economics to networks: What analytical insight do we gain?

    OpenAIRE

    Baker, Derek

    2013-01-01

    A case is made for theoretical and empirical specification of agribusiness systems as networks or netchains. This primarily involves characterization not only of the actors in value chains but also of the links between them. Selected recent work on applications of network analysis methods and approaches to economics generally, and agribusiness specifically, is discussed and extended to an empirical study of smallholder and informal dairy value chains in Tanzania and Uganda. Results are discus...

  2. Technical Reviews on Pattern Recognition in Process Analytical Technology

    International Nuclear Information System (INIS)

    Pattern recognition is one of the first and the most widely adopted chemometric tools among many active research area in chemometrics such as design of experiment(DoE), pattern recognition, multivariate calibration, signal processing. Pattern recognition has been used to identify the origin of a wine and the time of year that the vine was grown by using chromatography, cause of fire by using GC/MS chromatography, detection of explosives and land mines, cargo and luggage inspection in seaports and airports by using a prompt gamma-ray activation analysis, and source apportionment of environmental pollutant by using a stable isotope ratio mass spectrometry. Recently, pattern recognition has been taken into account as a major chemometric tool in the so-called 'process analytical technology (PAT)', which is a newly-developed concept in the area of process analytics proposed by US Food and Drug Administration (US FDA). For instance, identification of raw material by using a pattern recognition analysis plays an important role for the effective quality control of the production process. Recently, pattern recognition technique has been used to identify the spatial distribution and uniformity of the active ingredients present in the product such as tablet by transforming the chemical data into the visual information

  3. 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

  4. Technical Reviews on Design of Experiment in Process Analytical Technology

    International Nuclear Information System (INIS)

    'Design of experiment (DOE)' provides the information on the relationship between the different factors affecting a experiment and the output of that experiment in a very efficient and accurate way. DOE also can provides the basis for the standard operation procedure of the process, and the selection criteria for raw materials, instruments, and measurement methods by understanding the underlying important variables and by determining the optimum conditions. Since 1970s, DOE has been considered as one of the quality management tools in so-called '6-Sigma', which is adopted actively in many major companies in Korea for the improvement of the all sorts of qualities throughout management, marketing, office, research and development. Process analytical technology (PAT) is a new concept in the field of process analytics proposed by US Food and Drug Administration (US FDA) in Oct. 2002. US FDA encouraged the pharmaceutical industries to implement PAT in the pharmaceutical industry through 'GMPs for the 21st Centry' and the guidance 'PAT - A Framework for Innovative Pharmaceutical Manufacture and Quality Assurance'. PAT has drawn much attention from pharmaceutical industries in response to the US FDA's PAT initiative

  5. THE USE OF ONLINE ANALYTICAL PROCESSING (OLAP FOR BUSINESS INTELLIGENCE

    Directory of Open Access Journals (Sweden)

    brahim Halil Seyrek

    2007-10-01

    Full Text Available The extensive use of information technology enables organizations to collect huge amounts of data about almost every aspect of their businesses. This large amount of data has a potential to provide valuable information to organizations so that they can maintain and improve their competitive position. Today, the problem for organizations is not data collection but extraction of meaning from the data they have collected. Online Analytical Processing (OLAP is a set of tools to extract useful information from raw data. This paper explains OLAP concepts and techniques and gives examples using a hypothetical business scenario. Suggestions for organizations are also provided.

  6. Pendekatan Fuzzy-Analytic Hierarchy Process Dalam Pemilihan Konsep Produk.

    OpenAIRE

    Sigalingging, Tina M

    2011-01-01

    Product concept selection among a set of concepts/ alternatives is one of important part to get success in developing a new product. Because it faced by complex situation and uncertain, so it becomes a difficulty of decision maker/s to make a decision. Usually, decision maker/s just use their subjectivity and intuition. Fuzzy-Analytic Hierarchy Process is one of method which can solve this problem. Because this method can help decision maker/s give ranking to every criteria/ alternatives in s...

  7. 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. PMID:26357398

  8. 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.

  9. 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...

  10. Analytic solutions for links and triangles distributions in finite Barab\\'asi-Albert networks

    CERN Document Server

    Ferreira, Ricardo M; Brunnet, Leonardo G

    2016-01-01

    Barab\\'asi-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 Barab\\'asi-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.

  11. How multiple social networks affect user awareness: The information diffusion process in multiplex networks

    Science.gov (United States)

    Li, Weihua; Tang, Shaoting; Fang, Wenyi; Guo, Quantong; Zhang, Xiao; Zheng, Zhiming

    2015-10-01

    The information diffusion process in single complex networks has been extensively studied, especially for modeling the spreading activities in online social networks. However, individuals usually use multiple social networks at the same time, and can share the information they have learned from one social network to another. This phenomenon gives rise to a new diffusion process on multiplex networks with more than one network layer. In this paper we account for this multiplex network spreading by proposing a model of information diffusion in two-layer multiplex networks. We develop a theoretical framework using bond percolation and cascading failure to describe the intralayer and interlayer diffusion. This allows us to obtain analytical solutions for the fraction of informed individuals as a function of transmissibility T and the interlayer transmission rate θ . Simulation results show that interaction between layers can greatly enhance the information diffusion process. And explosive diffusion can occur even if the transmissibility of the focal layer is under the critical threshold, due to interlayer transmission.

  12. 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.

  13. Towards effective visual analytics on multiplex and multilayer networks

    DEFF Research Database (Denmark)

    Rossi, Luca; Magnani, Matteo

    2015-01-01

    properties of the data. However, despite the large renewed interest in the analysis of multiplex networks, no study has proposed specialised visualisation approaches for this context and traditional methods are typically applied instead. In this paper we initiate a critical and structured discussion of this...

  14. Laser induced breakdown spectroscopy inside liquids: Processes and analytical aspects

    Energy Technology Data Exchange (ETDEWEB)

    Lazic, V., E-mail: violeta.lazic@enea.it [ENEA (UTAPRAD-DIM), Via. E. Fermi 45, 00044 Frascati (RM) (Italy); Jovićević, S. [Institute of Physics, University of Belgrade, 11080 Belgrade (Serbia)

    2014-11-01

    This paper provides an overview of the laser induced breakdown spectroscopy (LIBS) inside liquids, applied for detection of the elements present in the media itself or in the submerged samples. The processes inherent to the laser induced plasma formation and evolution inside liquids are discussed, including shockwave generation, vapor cavitation, and ablation of solids. Types of the laser excitation considered here are single pulse, dual pulse and multi-pulse. The literature relative to the LIBS measurements and applications inside liquids is reviewed and the most relevant results are summarized. Finally, we discuss the analytical aspects and release some suggestions for improving the LIBS sensitivity and accuracy in liquid environment. - Highlights: • The paper reviews LIBS applications on bulk liquids and on submerged samples, using single, dual and multi pulse excitation. • The fundamentals about plasma in liquids are provided: beam transmission, breakdown, ablation, cavitation, and energy balance • Influence of the bubble’s optical properties on the plasma formation and detection after the second pulse is considered • The results obtained by various research groups and in different experimental conditions are reviewed and summarized • The analytical aspects are discussed, which include the experimental part, signal stability, data processing and calibration.

  15. Laser induced breakdown spectroscopy inside liquids: Processes and analytical aspects

    International Nuclear Information System (INIS)

    This paper provides an overview of the laser induced breakdown spectroscopy (LIBS) inside liquids, applied for detection of the elements present in the media itself or in the submerged samples. The processes inherent to the laser induced plasma formation and evolution inside liquids are discussed, including shockwave generation, vapor cavitation, and ablation of solids. Types of the laser excitation considered here are single pulse, dual pulse and multi-pulse. The literature relative to the LIBS measurements and applications inside liquids is reviewed and the most relevant results are summarized. Finally, we discuss the analytical aspects and release some suggestions for improving the LIBS sensitivity and accuracy in liquid environment. - Highlights: • The paper reviews LIBS applications on bulk liquids and on submerged samples, using single, dual and multi pulse excitation. • The fundamentals about plasma in liquids are provided: beam transmission, breakdown, ablation, cavitation, and energy balance • Influence of the bubble’s optical properties on the plasma formation and detection after the second pulse is considered • The results obtained by various research groups and in different experimental conditions are reviewed and summarized • The analytical aspects are discussed, which include the experimental part, signal stability, data processing and calibration

  16. 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.

  17. 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.

  18. In-Database Raster Analytics: Map Algebra and Parallel Processing in Oracle Spatial Georaster

    Science.gov (United States)

    Xie, Q. J.; Zhang, Z. Z.; Ravada, S.

    2012-07-01

    Over the past decade several products have been using enterprise database technology to store and manage geospatial imagery and raster data inside RDBMS, which in turn provides the best manageability and security. With the data volume growing exponentially, real-time or near real-time processing and analysis of such big data becomes more challenging. Oracle Spatial GeoRaster, different from most other products, takes the enterprise database-centric approach for both data management and data processing. This paper describes one of the central components of this database-centric approach: the processing engine built completely inside the database. Part of this processing engine is raster algebra, which we call the In-database Raster Analytics. This paper discusses the three key characteristics of this in-database analytics engine and the benefits. First, it moves the data processing closer to the data instead of moving the data to the processing, which helps achieve greater performance by overcoming the bottleneck of computer networks. Second, we designed and implemented a new raster algebra expression language. This language is based on PL/SQL and is currently focused on the "local" function type of map algebra. This language includes general arithmetic, logical and relational operators and any combination of them, which dramatically improves the analytical capability of the GeoRaster database. The third feature is the implementation of parallel processing of such operations to further improve performance. This paper also presents some sample use cases. The testing results demonstrate that this in-database approach for raster analytics can effectively help solve the biggest performance challenges we are facing today with big raster and image data.

  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. 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......, iteration by iteration, embracing the concepts embedded in the components. We analyze, design, and demonstrate support of individual criminal network investigation tasks for each of the five processes, and we also describe the deployment of CrimeFighter Investigator in scenarios that span multiple processes......Criminal network investigations such as police investigations, intelligence analysis, and investigative journalism involve a range of complex knowledge management processes and tasks. Criminal network investigators collect, process, and analyze information related to a specific target to create...

  1. SIRS Dynamics on Random Networks: Simulations and Analytical Models

    Science.gov (United States)

    Rozhnova, Ganna; Nunes, Ana

    The standard pair approximation equations (PA) for the Susceptible-Infective-Recovered-Susceptible (SIRS) model of infection spread on a network of homogeneous degree k predict a thin phase of sustained oscillations for parameter values that correspond to diseases that confer long lasting immunity. Here we present a study of the dependence of this oscillatory phase on the parameter k and of its relevance to understand the behaviour of simulations on networks. For k = 4, we compare the phase diagram of the PA model with the results of simulations on regular random graphs (RRG) of the same degree. We show that for parameter values in the oscillatory phase, and even for large system sizes, the simulations either die out or exhibit damped oscillations, depending on the initial conditions. This failure of the standard PA model to capture the qualitative behaviour of the simulations on large RRGs is currently being investigated.

  2. ANALYTICAL MODEL OF MISINFORMATION OF A SOCIAL NETWORK NODE

    OpenAIRE

    Monakhov, Y.; Semenova, I.; Medvednikova, M.; Kostina, N.

    2013-01-01

    This paper presents the research of the influence of cognitive, behavioral, representational factors on the susceptibility of the participants in social networks to misinformation, as well as on the activity of the nodes in this regard. The importance of this research consists of method of blocking the propaganda. This is very important because when people involuntarily acquire information some of them experience an undesired change in their social attitude. Such phenomena typically lead towa...

  3. Analytical model of misinformation of a social network node

    OpenAIRE

    Monakhov, Yuri; Medvednikova, Maria; Abramov, Konstantin; KOSTINA, Natalia; Malyshev, Roman; Oleg, Makarov; Semenova, Irina

    2012-01-01

    This paper presents the research of the influence of cognitive, behavioral, representational factors on the susceptibility of the participants in social networks to misinformation, as well as on the activity of the nodes in this regard. The importance of this research consists of method of blocking the propaganda. This is very important because when people involuntarily acquire information some of them experience an undesired change in their social attitude. Such phenomena typically lead towa...

  4. Material for the Encyclopaedic Dictionary of Croatian Analytical Terminology. Part II. Quality Assurance of Analytical Processes - Fundamental Terms

    Directory of Open Access Journals (Sweden)

    Grdinić, V

    2010-07-01

    Full Text Available Terms from the field of quality assurance of analytical processes that are significant for this type of analytical practice have been systemized. Assurance of analytical quality encompasses: (1 quality control, procedures and actions developed and carried out in order to achieve measurements of required quality; and (2 quality assessment, procedures and actions used to verify that quality management system is being run within acceptable limits in order to evaluate the quality of analytical data. An encyclopaedic dictionary of 187 terms is also included.

  5. 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. PMID:27066108

  6. Analytical Performance Evaluation of Various Frequency Reuse and Scheduling Schemes in Cellular OFDMA Networks

    OpenAIRE

    Maqbool, Masood; Godlewski, Philippe; Coupechoux, Marceau; Kélif, Jean-Marc

    2010-01-01

    In this paper, we present an analytical solution to carry out performance analysis of various frequency reuse schemes in an OFDMA based cellular network. We study the performance in downlink in terms of signal to interference (SIR) ratio and total cell data rate. The latter is analyzed while keeping in view three different scheduling schemes: equal data rate, equal bandwidth and opportunist. Analytical models are proposed for integer frequency reuse (IFR), fractional frequency reuse (FFR) and...

  7. 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.

  8. 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.

  9. 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.

  10. 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

  11. 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

    CATWOMAN that can run on standard WiFi hardware. We present an analytical model to evaluate the performance of COPE in simple networks, and our results show the excellent predictive quality of this model. By closely examining the performance in two simple topologies, we observe that the coding gain results...

  12. Optimization of analytical laboratory work using computer networking and databasing

    International Nuclear Information System (INIS)

    The Health Physics Analysis Laboratory (HPAL) performs around 600,000 analyses for radioactive nuclides each year at Los Alamos National Laboratory (LANL). Analysis matrices vary from nasal swipes, air filters, work area swipes, liquids, to the bottoms of shoes and cat litter. HPAL uses 8 liquid scintillation counters, 8 gas proportional counters, and 9 high purity germanium detectors in 5 laboratories to perform these analyses. HPAL has developed a computer network between the labs and software to produce analysis results. The software and hardware package includes barcode sample tracking, log-in, chain of custody, analysis calculations, analysis result printing, and utility programs. All data are written to a database, mirrored on a central server, and eventually written to CD-ROM to provide for online historical results. This system has greatly reduced the work required to provide for analysis results as well as improving the quality of the work performed

  13. CT image processing using digital networks

    International Nuclear Information System (INIS)

    Several digital image transmission networks have been proposed, studied, and measured for local-area medical applications. The image processing service described here uses a commercial digital network to connect the computers of CT scanners. The network service shares image processing tasks with remote sites during the times that the scanners are otherwise idle. The network is nationwide, emphasizes resource sharing, uses moderate-bandwidth (4800 or 9600 baud, i.e., 480 or 960 characters/sec) dedicated leased telephone lines, and is restricted at this time to only a few types of CT scanner. Furthermore, because it offers services that are not interactive, it is able to optimize computer resources without routine interruption from users. Discussion begins by a brief overview of classic computer network topologies, with an emphasis on their application to CT, magnetic resonance imaging (MRI), and other medical imaging modalities. This somewhat technical introduction to networks demonstrates the unique characteristics of medical image communication as opposed to the more common applications of computer communication in the banking, retail, and management information industries. In the sections that follow, a more selective focus is made on the topology, hardware, image-processing, and operational characteristics of a network that is now composed of over 50 CT scanner systems throughout the United States. The chapter concludes by summarizing the network performance during its first 35 months of operation

  14. International congress on analytical science for advanced material processing and environmental impact assessment

    International Nuclear Information System (INIS)

    The topics covered in the proceedings of the International Congress on Analytical Science 2010 include sampling and sample treatment pre-concentration (including solid phase extraction) organic analytical reagents, chemometrics, quality assurance/quality control, chromatography (GC, HPLC, IC, TLC etc.) and related techniques, hyphenated methods atomic spectroscopy (absorption, emission, fluorescence, XRF, XRD, lasers), molecular spectroscopy (IR, Raman), separation methods in analytical chemistry, sensors. Mass spectrometry, nuclear analytical methods, electroanalytical methods, geoanalytical chemistry, thermal analysis, process analytical chemistry, molecular probes for analyte sensing and imaging, express test methods, surface analytical methods, analytical microscopy, bioanalytical chemistry, environmental analysis, characterization of nano materials, analysis of new materials (including high-purity materials), analysis of food and agricultural products, clinical/forensic analysis, online analysis/process analytical chemistry, novel analytical techniques, lab on chips, LIMS, trace metal analysis and speciation. Papers relevant to INIS are indexed separately

  15. Networks and Natural Language Processing

    OpenAIRE

    Radev, Dragomir R.; University of Michigan; Mihalcea, Rada; University of North Texas

    2008-01-01

    Over the last few years, a number of areas of natural language processing have begun applying graph-based techniques. These include, among others, text summarization, syntactic parsing, word-sense disambiguation, ontology construction, sentiment and subjectivity analysis, and text clustering. In this paper, we present some of the most successful graph-based representations and algorithms used in language processing and try to explain how and why they work.

  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 simple analytical approach to describe disease spread on a network

    OpenAIRE

    Davoudi, B.; Brauer, F.; Pourbohloul, B.

    2010-01-01

    We investigate the time evolution of disease spread on a network by using the concept of generations. We derive a set of equations, which can be used to determine the average epidemic size. We find a very good agreement between the analytical and simulation results. The details of approximations and the possibility of generalization or improvement are discussed.

  18. Analytical model of a burst assembly algorithm for the VBR in the OBS networks

    International Nuclear Information System (INIS)

    This paper presents a proposed analytical model for the number of bursts aggregated in a period of time in OBS networks. The model considers the case of VBR traffic with two different sending rates, which are SCR and PCR. The model is validated using extensive simulations. Where results from simulations are in total agreement with the results obtained by the proposed model. (author)

  19. 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

    Key terms such as Global warming, Green House Gas emissions, or Energy efficiency are currently on the scope of scientific research. Regarding telecommunications networks, wireless applications, routing protocols, etc. are being designed following this new “Green” trend. This work contributes 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...

  20. Signal processing devices and networks

    Science.gov (United States)

    Graveline, S. W.

    1985-02-01

    According to an axiom employed with respect to electronic warfare (EW) behavior, system effectiveness increases directly with the amount of information recovered from an intercepted signal. The evolution in EW signal processing capability has proceeded accordingly. After an initiation of EW systems as broadband receivers, the most significant advance was related to the development of digital instantaneous frequency measurement (DIFM) devices. The use of such devices provides significant improvements regarding signal identification and RF measurement to within a few MHz. An even more accurate processing device, the digital RF memory (DRFM), allows frequency characterization to within a few Hz. This invention was made in response to the need to process coherent pulse signals. Attention is given to the generic EW system, the modern EW system, and the generic receiver function for a modern EW system showing typical output signals.

  1. 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

    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...

  2. Analytical Framework for Optimizing Weighted Average Download Time in Peer-to-Peer Networks

    CERN Document Server

    Xie, Bike; Wesel, Richard D

    2008-01-01

    This paper proposes an analytical framework for peer-to-peer (P2P) networks and introduces schemes for building P2P networks to approach the minimum weighted average download time (WADT). In the considered P2P framework, the server, which has the information of all the download bandwidths and upload bandwidths of the peers, minimizes the weighted average download time by determining the optimal transmission rate from the server to the peers and from the peers to the other peers. This paper first defines the static P2P network, the hierarchical P2P network and the strictly hierarchical P2P network. Any static P2P network can be decomposed into an equivalent network of sub-peers that is strictly hierarchical. This paper shows that convex optimization can minimize the WADT for P2P networks by equivalently minimizing the WADT for strictly hierarchical networks of sub-peers. This paper then gives an upper bound for minimizing WADT by constructing a hierarchical P2P network, and lower bound by weakening the constra...

  3. 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

  4. The best motivator priorities parents choose via analytical hierarchy process

    Science.gov (United States)

    Farah, R. N.; Latha, P.

    2015-05-01

    Motivation is probably the most important factor that educators can target in order to improve learning. Numerous cross-disciplinary theories have been postulated to explain motivation. While each of these theories has some truth, no single theory seems to adequately explain all human motivation. The fact is that human beings in general and pupils in particular are complex creatures with complex needs and desires. In this paper, Analytic Hierarchy Process (AHP) has been proposed as an emerging solution to move towards too large, dynamic and complex real world multi-criteria decision making problems in selecting the most suitable motivator when choosing school for their children. Data were analyzed using SPSS 17.0 ("Statistical Package for Social Science") software. Statistic testing used are descriptive and inferential statistic. Descriptive statistic used to identify respondent pupils and parents demographic factors. The statistical testing used to determine the pupils and parents highest motivator priorities and parents' best priorities using AHP to determine the criteria chosen by parents such as school principals, teachers, pupils and parents. The moderating factors are selected schools based on "Standard Kualiti Pendidikan Malaysia" (SKPM) in Ampang. Inferential statistics such as One-way ANOVA used to get the significant and data used to calculate the weightage of AHP. School principals is found to be the best motivator for parents in choosing school for their pupils followed by teachers, parents and pupils.

  5. 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.

  6. 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

  7. 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.

  8. Synthesis and Design of Processing Networks

    DEFF Research Database (Denmark)

    Quaglia, Alberto; Sarup, Bent; Sin, Gürkan; Gani, Rafiqul

    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......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...... 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...

  9. Synthesis and Design of Processing Networks

    DEFF Research Database (Denmark)

    Quaglia, Alberto; Sarup, Bent; Sin, Gürkan;

    2012-01-01

    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......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...

  10. Neural networks for intelligent signal processing

    CERN Document Server

    Zaknich, Anthony

    2003-01-01

    This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been tested on students, unfamiliar with neural networks, who were able to pick up enough details to successfully complete their masters or final year undergraduate projects. The text also presents a comprehensive treatment of a class of neural networks called common bandwidth spherical basis function NNs, including the probabilistic NN, the modified probabilistic NN and the general regression NN. Contents: A Brief Historica

  11. Diffusion Processes on Complex Networks

    OpenAIRE

    Švarcová, Natálie; Švarc, Petr

    2009-01-01

    In this paper we apply agent-based methodology on an issue that is fundamental for economic prosperity and growth: the diffusion of innovations. The diffusion of innovations is one of the topics where agent-based simulation is an extremely fruitful method allowing not only the observation of stable states but also the process and development of the diffusion. Furthermore, empirical studies revealed that the topological structure of interactions among individuals importantly influences the dif...

  12. Image processing with a cellular nonlinear network

    International Nuclear Information System (INIS)

    A cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is proposed for image processing purposes. It is shown theoretically and numerically that the contrast of an image loaded at the nodes of the CNN is strongly enhanced, even if this one is initially weak. An image inversion can be also obtained without reconfiguration of the network whereas a gray levels extraction can be performed with an additional threshold filtering. Lastly, an electronic implementation of this CNN is presented

  13. 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

  14. Nonlinear signal processing using neural networks: Prediction and system modelling

    Energy Technology Data Exchange (ETDEWEB)

    Lapedes, A.; Farber, R.

    1987-06-01

    The backpropagation learning algorithm for neural networks is developed into a formalism for nonlinear signal processing. We illustrate the method by selecting two common topics in signal processing, prediction and system modelling, and show that nonlinear applications can be handled extremely well by using neural networks. The formalism is a natural, nonlinear extension of the linear Least Mean Squares algorithm commonly used in adaptive signal processing. Simulations are presented that document the additional performance achieved by using nonlinear neural networks. First, we demonstrate that the formalism may be used to predict points in a highly chaotic time series with orders of magnitude increase in accuracy over conventional methods including the Linear Predictive Method and the Gabor-Volterra-Weiner Polynomial Method. Deterministic chaos is thought to be involved in many physical situations including the onset of turbulence in fluids, chemical reactions and plasma physics. Secondly, we demonstrate the use of the formalism in nonlinear system modelling by providing a graphic example in which it is clear that the neural network has accurately modelled the nonlinear transfer function. It is interesting to note that the formalism provides explicit, analytic, global, approximations to the nonlinear maps underlying the various time series. Furthermore, the neural net seems to be extremely parsimonious in its requirements for data points from the time series. We show that the neural net is able to perform well because it globally approximates the relevant maps by performing a kind of generalized mode decomposition of the maps. 24 refs., 13 figs.

  15. 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...

  16. 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.

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

    International Nuclear Information System (INIS)

    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

  18. Factors influencing the design of the Remote Analytical Laboratory at the Idaho Chemical Processing Plant

    International Nuclear Information System (INIS)

    The Remote Analytical Laboratory is a special purpose laboratory designed specifically to provide routine analytical chemistry support for the fuel reprocessing operations at the Idaho Chemical Processing Plant near Idaho Falls. It was built to replace the obsolete Remote Analytical Facility, a double line of 30 shielded cubicles equipped with Castle manipulators, which had served the plant since 1953

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

    OpenAIRE

    Lizhen; Zhangruijun; WangChen

    2015-01-01

    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 t...

  20. Analytical Framework for Optimizing Weighted Average Download Time in Peer-to-Peer Networks

    OpenAIRE

    Xie, Bike; Van Der Schaar, Mihaela; Wesel, Richard D.

    2008-01-01

    This paper proposes an analytical framework for peer-to-peer (P2P) networks and introduces schemes for building P2P networks to approach the minimum weighted average download time (WADT). In the considered P2P framework, the server, which has the information of all the download bandwidths and upload bandwidths of the peers, minimizes the weighted average download time by determining the optimal transmission rate from the server to the peers and from the peers to the other peers. This paper fi...

  1. 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.

  2. 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.

  3. Measures and mechanisms for process monitoring in evolving business networks

    OpenAIRE

    Comuzzi, M.; Vonk, J.; Grefen, P.

    2012-01-01

    The literature on monitoring of cross-organizational processes, executed within business networks, considers monitoring only in the network formation phase, since network establishment determines what can be monitored during process execution. In particular, the impact of evolution in such networks on monitoring is not considered. When a business network evolves, e.g. contracts are introduced, updated, or dropped, or actors join or leave the network, the monitoring requirements of the network...

  4. A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic

    OpenAIRE

    Euro Beinat; Martin Loidl; Günther Sagl

    2012-01-01

    In this paper we present a visual analytics approach for deriving spatio-temporal patterns of collective human mobility from a vast mobile network traffic data set. More than 88 million movements between pairs of radio cells—so-called handovers—served as a proxy for more than two months of mobility within four urban test areas in Northern Italy. In contrast to previous work, our approach relies entirely on visualization and mapping techniques, implemented in several softwa...

  5. Supercritical boiler material selection using fuzzy analytic network process

    OpenAIRE

    Saikat Ranjan Maity; Shankar Chakraborty

    2012-01-01

    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 t...

  6. 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

  7. Extraction of fibre network architecture by X-ray tomography and prediction of elastic properties using an affine analytical model

    International Nuclear Information System (INIS)

    This paper proposes a method for extracting reliable architectural characteristics from complex porous structures using micro-computed tomography (μCT) images. The work focuses on a highly porous material composed of a network of fibres bonded together. The segmentation process, allowing separation of the fibres from the remainder of the image, is the most critical step in constructing an accurate representation of the network architecture. Segmentation methods, based on local and global thresholding, were investigated and evaluated by a quantitative comparison of the architectural parameters they yielded, such as the fibre orientation and segment length (sections between joints) distributions and the number of inter-fibre crossings. To improve segmentation accuracy, a deconvolution algorithm was proposed to restore the original images. The efficacy of the proposed method was verified by comparing μCT network architectural characteristics with those obtained using high resolution CT scans (nanoCT). The results indicate that this approach resolves the architecture of these complex networks and produces results approaching the quality of nanoCT scans. The extracted architectural parameters were used in conjunction with an affine analytical model to predict the axial and transverse stiffnesses of the fibre network. Transverse stiffness predictions were compared with experimentally measured values obtained by vibration testing.

  8. Extraction of fibre network architecture by X-ray tomography and prediction of elastic properties using an affine analytical model

    Energy Technology Data Exchange (ETDEWEB)

    Tsarouchas, D. [Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ (United Kingdom); Markaki, A.E., E-mail: am253@cam.ac.uk [Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ (United Kingdom)

    2011-10-15

    This paper proposes a method for extracting reliable architectural characteristics from complex porous structures using micro-computed tomography ({mu}CT) images. The work focuses on a highly porous material composed of a network of fibres bonded together. The segmentation process, allowing separation of the fibres from the remainder of the image, is the most critical step in constructing an accurate representation of the network architecture. Segmentation methods, based on local and global thresholding, were investigated and evaluated by a quantitative comparison of the architectural parameters they yielded, such as the fibre orientation and segment length (sections between joints) distributions and the number of inter-fibre crossings. To improve segmentation accuracy, a deconvolution algorithm was proposed to restore the original images. The efficacy of the proposed method was verified by comparing {mu}CT network architectural characteristics with those obtained using high resolution CT scans (nanoCT). The results indicate that this approach resolves the architecture of these complex networks and produces results approaching the quality of nanoCT scans. The extracted architectural parameters were used in conjunction with an affine analytical model to predict the axial and transverse stiffnesses of the fibre network. Transverse stiffness predictions were compared with experimentally measured values obtained by vibration testing.

  9. Gray matter alterations in chronic pain: A network-oriented meta-analytic approach

    Directory of Open Access Journals (Sweden)

    Franco Cauda

    2014-01-01

    Full Text Available Several studies have attempted to characterize morphological brain changes due to chronic pain. Although it has repeatedly been suggested that longstanding pain induces gray matter modifications, there is still some controversy surrounding the direction of the change (increase or decrease in gray matter and the role of psychological and psychiatric comorbidities. In this study, we propose a novel, network-oriented, meta-analytic approach to characterize morphological changes in chronic pain. We used network decomposition to investigate whether different kinds of chronic pain are associated with a common or specific set of altered networks. Representational similarity techniques, network decomposition and model-based clustering were employed: i to verify the presence of a core set of brain areas commonly modified by chronic pain; ii to investigate the involvement of these areas in a large-scale network perspective; iii to study the relationship between altered networks and; iv to find out whether chronic pain targets clusters of areas. Our results showed that chronic pain causes both core and pathology-specific gray matter alterations in large-scale networks. Common alterations were observed in the prefrontal regions, in the anterior insula, cingulate cortex, basal ganglia, thalamus, periaqueductal gray, post- and pre-central gyri and inferior parietal lobule. We observed that the salience and attentional networks were targeted in a very similar way by different chronic pain pathologies. Conversely, alterations in the sensorimotor and attention circuits were differentially targeted by chronic pain pathologies. Moreover, model-based clustering revealed that chronic pain, in line with some neurodegenerative diseases, selectively targets some large-scale brain networks. Altogether these findings indicate that chronic pain can be better conceived and studied in a network perspective.

  10. 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

    generation of the supersaturation setpoint for a supersaturation controller, a tool for design of a process monitoring and control system (also called Process Analytical Technology (PAT) system) as well as a tool for performing uncertainty and sensitivity analysis of the PAT system design. The uncertainty...... analysis is important in order to produce an estimate of the risk of not achieving the desired product quality with its corresponding target crystal properties. Application of the framework is highlighted through a case study involving the design of a robust PAT system for a potassium dichromate...

  11. Sustainable Process Networks for CO2 Conversion

    DEFF Research Database (Denmark)

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

    contributors to global warming, primarily greenhouse gas emissions. Of these, carbon dioxide (CO2) is the largest source and, therefore, the reduction of the amount emitted is primary focus of developments [1]. Currently, the main method that is focused on is carbon capture and storage (CCS). There are various...... drawbacks to this geologic storage system: the CO2 is not eliminated, the implementation is limited due to natural phenomena, and the capturing methods are often expensive. Thus, it is desirable to develop an alternative strategy for reducing the CO2 emissions [2]. An additional process that reduces the...... emissions is the conversion of CO2 into useful products, such as methanol [3]. In this work, through a computer-aided framework for process network synthesis-design, a network of feasible conversion processes that all use emitted CO2 is investigated. CO2 is emitted into the environment from various sources...

  12. 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.

  13. 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.

  14. Analytically tractable studies of traveling waves of activity in integrate-and-fire neural networks

    Science.gov (United States)

    Zhang, Jie; Osan, Remus

    2016-05-01

    In contrast to other large-scale network models for propagation of electrical activity in neural tissue that have no analytical solutions for their dynamics, we show that for a specific class of integrate and fire neural networks the acceleration depends quadratically on the instantaneous speed of the activity propagation. We use this property to analytically compute the network spike dynamics and to highlight the emergence of a natural time scale for the evolution of the traveling waves. These results allow us to examine other applications of this model such as the effect that a nonconductive gap of tissue has on further activity propagation. Furthermore we show that activity propagation also depends on local conditions for other more general connectivity functions, by converting the evolution equations for network dynamics into a low-dimensional system of ordinary differential equations. This approach greatly enhances our intuition into the mechanisms of the traveling waves evolution and significantly reduces the simulation time for this class of models.

  15. Bosonic reaction-diffusion processes on scale-free networks

    Science.gov (United States)

    Baronchelli, Andrea; Catanzaro, Michele; Pastor-Satorras, Romualdo

    2008-07-01

    Reaction-diffusion processes can be adopted to model a large number of dynamics on complex networks, such as transport processes or epidemic outbreaks. In most cases, however, they have been studied from a fermionic perspective, in which each vertex can be occupied by at most one particle. While still useful, this approach suffers from some drawbacks, the most important probably being the difficulty to implement reactions involving more than two particles simultaneously. Here we develop a general framework for the study of bosonic reaction-diffusion processes on complex networks, in which there is no restriction on the number of interacting particles that a vertex can host. We describe these processes theoretically by means of continuous-time heterogeneous mean-field theory and divide them into two main classes: steady-state and monotonously decaying processes. We analyze specific examples of both behaviors within the class of one-species processes, comparing the results (whenever possible) with the corresponding fermionic counterparts. We find that the time evolution and critical properties of the particle density are independent of the fermionic or bosonic nature of the process, while differences exist in the functional form of the density of occupied vertices in a given degree class k . We implement a continuous-time Monte Carlo algorithm, well suited for general bosonic simulations, which allows us to confirm the analytical predictions formulated within mean-field theory. Our results, at both the theoretical and numerical levels, can be easily generalized to tackle more complex, multispecies, reaction-diffusion processes and open a promising path for a general study and classification of this kind of dynamical systems on complex networks.

  16. 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.

  17. Semi-analytical design methodology for large scale metal–insulator–metal waveguide networks

    International Nuclear Information System (INIS)

    A semi-analytical approach for efficient modelling of large scale networks of plasmonic metal–insulator–metal waveguides is proposed and its efficacy is assessed. A simple model for a wide range of waveguide junction configurations that can be obtained using waveguide impedance is utilized. This efficient and accurate model enables full analysis of a complete network of plasmonic waveguides without the need for any full-wave analysis. The proposed approach is computationally efficient and enables rapid design and optimization cycles using these networks. The results obtained using our approach match those obtained with finite difference time domain simulations. Several example structures have been analyzed using this approach, where their performance has been optimized through the multivariable optimization afforded by the technique reported here. (papers)

  18. Bias and precision of selected analytes reported by the National Atmospheric Deposition Program and National Trends Network, 1984

    Science.gov (United States)

    Brooks, M.H.; Schroder, L.J.; Willoughby, T.C.

    1987-01-01

    The U.S. Geological Survey operated a blind audit sample program during 1974 to test the effects of the sample handling and shipping procedures used by the National Atmospheric Deposition Program and National Trends Network on the quality of wet deposition data produced by the combined networks. Blind audit samples, which were dilutions of standard reference water samples, were submitted by network site operators to the central analytical laboratory disguised as actual wet deposition samples. Results from the analyses of blind audit samples were used to calculate estimates of analyte bias associated with all network wet deposition samples analyzed in 1984 and to estimate analyte precision. Concentration differences between double blind samples that were submitted to the central analytical laboratory and separate analyses of aliquots of those blind audit samples that had not undergone network sample handling and shipping were used to calculate analyte masses that apparently were added to each blind audit sample by routine network handling and shipping procedures. These calculated masses indicated statistically significant biases for magnesium, sodium , potassium, chloride, and sulfate. Median calculated masses were 41.4 micrograms (ug) for calcium, 14.9 ug for magnesium, 23.3 ug for sodium, 0.7 ug for potassium, 16.5 ug for chloride and 55.3 ug for sulfate. Analyte precision was estimated using two different sets of replicate measures performed by the central analytical laboratory. Estimated standard deviations were similar to those previously reported. (Author 's abstract)

  19. The application of the analytic hierarchy process when choosing layout schemes for a geokhod pumping station

    Science.gov (United States)

    Chernukhin, R. V.; Dronov, A. A.; Blashchuk, M. Y.

    2015-09-01

    The article describes one possibility of choosing layout schemes for geokhod systems which is the analytic hierarchy process. There is the essence of the method summarized therein. The usage of the method is considered for the analysis and the choice of layout schemes for a geokhod pumping station. Keywords: geokhod, analytic hierarchy process, pumping station, layout scheme.

  20. 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...

  1. Materials, Processes, and Environmental Engineering Network

    Science.gov (United States)

    White, Margo M.

    1993-01-01

    Attention is given to the Materials, Processes, and Environmental Engineering Network (MPEEN), which was developed as a central holding facility for materials testing information generated by the Materials and Processes Laboratory of NASA-Marshall. 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. The data base is 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. The data base also contains the usage and performance characteristics of these materials.

  2. Time-to-event analysis with artificial neural networks: an integrated analytical and rule-based study for breast cancer.

    Science.gov (United States)

    Lisboa, Paulo J G; Etchells, Terence A; Jarman, Ian H; Hane Aung, M S; Chabaud, Sylvie; Bachelot, Thomas; Perol, David; Gargi, Thérèse; Bourdès, Valérie; Bonnevay, Stéphane; Négrier, Sylvie

    2008-01-01

    This paper presents an analysis of censored survival data for breast cancer specific mortality and disease-free survival. There are three stages to the process, namely time-to-event modelling, risk stratification by predicted outcome and model interpretation using rule extraction. Model selection was carried out using the benchmark linear model, Cox regression but risk staging was derived with Cox regression and with Partial Logistic Regression Artificial Neural Networks regularised with Automatic Relevance Determination (PLANN-ARD). This analysis compares the two approaches showing the benefit of using the neural network framework especially for patients at high risk. The neural network model also has results in a smooth model of the hazard without the need for limiting assumptions of proportionality. The model predictions were verified using out-of-sample testing with the mortality model also compared with two other prognostic models called TNG and the NPI rule model. Further verification was carried out by comparing marginal estimates of the predicted and actual cumulative hazards. It was also observed that doctors seem to treat mortality and disease-free models as equivalent, so a further analysis was performed to observe if this was the case. The analysis was extended with automatic rule generation using Orthogonal Search Rule Extraction (OSRE). This methodology translates analytical risk scores into the language of the clinical domain, enabling direct validation of the operation of the Cox or neural network model. This paper extends the existing OSRE methodology to data sets that include continuous-valued variables. PMID:18304780

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

    International Nuclear Information System (INIS)

    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 oC, while cool water with the temperature varying from 12 to 13 oC is easily available from the underground water reservoir under investigation.

  4. 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)

  5. 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.

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

    DEFF Research Database (Denmark)

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

    2005-01-01

    the active pharmaceutical ingredients (APIs) during pelletization. Raman spectroscopy, near-infrared (NIR) spectroscopy, and X-ray powder diffraction (XRPD) were used in the characterization of polymorphic changes during the process. Samples were collected at the end of each processing stage (blending...

  7. 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…

  8. The Contribution of Analytic Information Processing to Diagnostic Performance in Medicine

    OpenAIRE

    McLaughlin, Kevin

    2007-01-01

    textabstractIs analytic processing of relevant biomedical concepts associated with diagnostic performance when solving acid-base and electrolyte problems? Our starting point was to question whether analytic processing of biomedical information had any association with diagnostic performance. In Chapter 2 we used think aloud to assess information processing in an observational study designed to be sensitive to this association: we chose a non-visual domain in which subjects were given lab data...

  9. Nuclear analytical techniques for mineral exploration, mining and processing plants

    International Nuclear Information System (INIS)

    This volume is the final report from the Coordinated Research Programme and consists primarily of the research reports presented at the third meeting of the participants. The participants of the meeting considered and discussed progress and achievements made during the last three years: systems for in-stream analysis of mineral slurries, on-line determination of ash in coal using low energy gamma rays transmission and pair production techniques, in-stream determination of solids weight fraction and ash content of coal in slurries, on-line determination of moisture in coal, iron in high grade iron ores and sulfur in lead sinter, developed and tested a borehole logging system based on the spectrometric gamma-gamma method in coal, iron ore and manganese deposits, the results from the NAA and XRF analysis of the tailings and slurries exhibit the potentiality of nuclear analytical techniques in the various stages of the mining industry. A separate abstract was prepared for each of the 12 papers in this volume

  10. 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…

  11. An Analytical hierarchy process model for the evaluation of college

    OpenAIRE

    Yin, Qingli

    2013-01-01

    Taking into account the characteristcs of college experimental teaching, through investgaton and analysis, evaluaton indices and an Analytcal Hierarchy Process (AHP) model of experimental teaching quality have been established following the analytcal hierarchy process method, and the evaluaton indices have been given reasonable weights. An example is given, and the evaluaton results show that the evaluaton indices proposed in this paper are capable of refectng objectvely, exactly ...

  12. Analytical tools for monitoring and control of fermentation processes

    OpenAIRE

    Sundström, Heléne

    2007-01-01

    The overall objective of this work has been to adopt new developments and techniques in the area of measurement, modelling and control of fermentation processes. Flow cytometry and software sensors are techniques which were considered ready for application and the focus was set on developing tools for research aiming at understanding the relationship between measured variables and process quality parameters. In this study fed-batch cultivations have been performed with two different strains o...

  13. 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.

  14. 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.

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

    Directory of Open Access Journals (Sweden)

    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.

  16. 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.

  17. 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.

  18. TIS process supervisory local area network (LAN)

    International Nuclear Information System (INIS)

    TIS - the process supervisory LAN was installed at both the NPP V-1 twin-units of WWER-440/230 type and the NPP V-2 twin-units of WWER-440/213 type at Jaslovske Bohunice, Slovak Republic, in 1992. It represents a superstructure to the existing reactor unit process computers RPP-16S and IV 500 MA at the NPP V-1 and IVS Komplex Uran 2M and KVRK at the NPP V-2. The principal goal of TIS is to supply both the main control room staff and the NPP operation personnel and operation mode engineers with process information in a larger extent and on a higher level than the existing process computers do. TIS provides following process supervision functions: Taking over Data, Data Processing, Operative and Historical Data Collection, Active Alarm Management, Mimic Diagrams, REAL-time and Historical Trending, Horizontal Bargraphs, Data Tables, Report Generation, Shift Supervisor Support in case of Failure/Accident at NPP, User Database Applications, Computerized Operating Procedures, Programmable Prompts to Operator, ''Desk-top'' Calculator, Communication with Professional Departments, Auto-diagnostics. TIS is a PC local area network of QNX NET type, its data transmission rate being 2.5 Mbits/second. TIS is run under QNX operating system. Application software modules are written in QNX C and C-86 languages. Some functions were completed in OnCmd v.4.2 database environment. (author). 2 figs

  19. 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 $\\beta$...

  20. 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. PMID:27389569

  1. 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...

  2. Dynamical Properties of Diffusion Process on Complex Networks with Arbitrary Degree Distribution

    International Nuclear Information System (INIS)

    Dynamical properties of diffusion process on complex networks with arbitrary degree distribution are investigated. The rule of the diffusion process encompasses both the structural characteristics and the information processing dynamics. Considering the influence of a node on the global dynamical behavior, the dynamical generating function of the process, which is deeply reflecting the basic characteristic of the process and mutually decided with the dynamical process, is proposed. Based on the analysis of the dynamical generating function we introduce dynamical centrality for each node, which determines the relative importance of nodes and the capability of the given node to collect and communicate information with its neighbouring environment in the network via the diffusion process. Furthermore, a new parameter, dynamical entropy, is proposed to measure the interplay between dynamical centrality and diffusion dynamics. The experimental results on large-scale complex networks with Poisson distribution confirm our analytical prediction. (authors)

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

    OpenAIRE

    Lidija Zadnik-Stirn; Petra Grošelj

    2010-01-01

    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 aggrega...

  4. Nuclear analytical techniques and applications to materials processing

    International Nuclear Information System (INIS)

    This paper will present the application of Rutherford backscattering spectrometry to thin film steochiometry determination and application to optimization of the film process elaboration in the case of dielectric films (Ge,Pb,O) and ionic conductors films (Na,Al,O). After we shall present the application of particles induced gamma emission (PIGE) for the characterization of ternary compounds (B,Si,C) used as coating to protect composites materials. The last part of this paper will describe the determination of oxygen in the bulk of fluoride glasses with charged particles activation analysis. (orig.)

  5. 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.

  6. 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.

  7. Rhodobase, a meta-analytical tool for reconstructing gene regulatory networks in a model photosynthetic bacterium.

    Science.gov (United States)

    Moskvin, Oleg V; Bolotin, Dmitry; Wang, Andrew; Ivanov, Pavel S; Gomelsky, Mark

    2011-02-01

    We present Rhodobase, a web-based meta-analytical tool for analysis of transcriptional regulation in a model anoxygenic photosynthetic bacterium, Rhodobacter sphaeroides. The gene association meta-analysis is based on the pooled data from 100 of R. sphaeroides whole-genome DNA microarrays. Gene-centric regulatory networks were visualized using the StarNet approach (Jupiter, D.C., VanBuren, V., 2008. A visual data mining tool that facilitates reconstruction of transcription regulatory networks. PLoS ONE 3, e1717) with several modifications. We developed a means to identify and visualize operons and superoperons. We designed a framework for the cross-genome search for transcription factor binding sites that takes into account high GC-content and oligonucleotide usage profile characteristic of the R. sphaeroides genome. To facilitate reconstruction of directional relationships between co-regulated genes, we screened upstream sequences (-400 to +20bp from start codons) of all genes for putative binding sites of bacterial transcription factors using a self-optimizing search method developed here. To test performance of the meta-analysis tools and transcription factor site predictions, we reconstructed selected nodes of the R. sphaeroides transcription factor-centric regulatory matrix. The test revealed regulatory relationships that correlate well with the experimentally derived data. The database of transcriptional profile correlations, the network visualization engine and the optimized search engine for transcription factor binding sites analysis are available at http://rhodobase.org. PMID:21070832

  8. 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.

  9. 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.

  10. 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.

  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. Novel process analytical technological approaches of dynamic image analysis for pharmaceutical dry particulate systems

    OpenAIRE

    Nalluri, Venkateshwar Rao

    2011-01-01

    With the introduction of Process Analytical Technology (PAT) and Quality by Design (QbD) concepts by the Food and Drug Administration (FDA) the pharmaceutical industry is thriving towards improved process understanding. Subsequently, the pharmaceutical industry shifted the focus on the implementation of new technologies for real-time process control of various unit operations. Enhanced process understanding will result in a robust process and eventually enable quality by design into the produ...

  13. 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

  14. Analytical model for chip formation in case of orthogonal machining process

    International Nuclear Information System (INIS)

    The present work deals with the presentation of analytical methodology allowing the modelling of chip formation. For that a 'decomposition approach', based on assuming that the material removal is the summation of two contributions: ploughing and pure cut was adopted. Moreover, this analytical model was calibrated by a finite element model and experimental data in terms of temperature and forces evolutions. The global aim is to propose to the industrial community, an efficient rapid-execution analytical model concerning the material removal in the case of an orthogonal cutting process.

  15. A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic

    Directory of Open Access Journals (Sweden)

    Euro Beinat

    2012-11-01

    Full Text Available In this paper we present a visual analytics approach for deriving spatio-temporal patterns of collective human mobility from a vast mobile network traffic data set. More than 88 million movements between pairs of radio cells—so-called handovers—served as a proxy for more than two months of mobility within four urban test areas in Northern Italy. In contrast to previous work, our approach relies entirely on visualization and mapping techniques, implemented in several software applications. We purposefully avoid statistical or probabilistic modeling and, nonetheless, reveal characteristic and exceptional mobility patterns. The results show, for example, surprising similarities and symmetries amongst the total mobility and people flows between the test areas. Moreover, the exceptional patterns detected can be associated to real-world events such as soccer matches. We conclude that the visual analytics approach presented can shed new light on large-scale collective urban mobility behavior and thus helps to better understand the “pulse” of dynamic urban systems.

  16. 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).

  17. Numerical and semi-analytical modelling of the process induced distortions in pultrusion

    DEFF Research Database (Denmark)

    Baran, Ismet; Carlone, P.; Hattel, Jesper Henri;

    2013-01-01

    the mechanical behavior generating the distortions during the process is eventually required. In the present study, two different modelling approaches are implemented and compared to calculate the development of the distortions during the pultrusion of a graphite/epoxy composite rod. In both cases...... latter, the transient distortions are inferred adopting a semi-analytical procedure, i.e. post processing numerical results by means of analytical methods. The predictions of the process induced distortion development using the aforementioned methods are found to be qualitatively close to each other.......Furthermore, the location of the detachment between the heating die and the part due to shrinkage is also investigated....

  18. Analytical and Neural Network Models for Gas Turbine Design and Off-Design Simulation

    Directory of Open Access Journals (Sweden)

    Andrea Toffolo

    2001-12-01

    Full Text Available

    This paper presents a gas turbine design and off-design model in which the difficulties due to lack of knowledge about stage-by-stage performance are overcome by constructing artificial machine maps through appropriate scaling techniques applied to generalized maps taken from the literature and validating them with test measurement data from real plants. In particular, off-design performance is obtained through compressor map modifications according to variable inlet guide vane closure. The set of equations of the developed analytical model is solved by a commercial package, which provides great flexibility in the choice of independent variables of the overall system. The results obtained from this simulator are used for neural network training: problems associated with the construction and use of neural networks are discussed and their capability as a tool for predicting machine performance is analyzed.

    • This paper was presented at the ECOS'01 Conference in Turkey, July 4-6, 2001 and revised 

  19. Synthesis and Design of Integrated Process and Water Networks

    DEFF Research Database (Denmark)

    Handani, Zainatul B.; Quaglia, Alberto; Gani, Rafiqul

    2015-01-01

    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......This work presents the development of a systematic framework for a simultaneous synthesis and design of process and water networks using the superstructure-based optimization approach. In this framework, a new superstructure combining both networks is developed by attempting to consider all...... 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...

  20. Learning Processes of Layered Neural Networks

    OpenAIRE

    Fujiki, Sumiyoshi; Fujiki, Nahomi M.

    1995-01-01

    A positive reinforcement type learning algorithm is formulated for a stochastic feed-forward neural network, and a learning equation similar to that of the Boltzmann machine algorithm is obtained. By applying a mean field approximation to the same stochastic feed-forward neural network, a deterministic analog feed-forward network is obtained and the back-propagation learning rule is re-derived.

  1. Quality Measures in Pre-Analytical Phase of Tissue Processing: Understanding Its Value in Histopathology

    Science.gov (United States)

    Masilamani, Suresh; Sundaram, Sandhya; Duvuru, Prathiba; Swaminathan, Rajendiran

    2016-01-01

    Introduction Quality monitoring in histopathology unit is categorized into three phases, pre-analytical, analytical and post-analytical, to cover various steps in the entire test cycle. Review of literature on quality evaluation studies pertaining to histopathology revealed that earlier reports were mainly focused on analytical aspects with limited studies on assessment of pre-analytical phase. Pre-analytical phase encompasses several processing steps and handling of specimen/sample by multiple individuals, thus allowing enough scope for errors. Due to its critical nature and limited studies in the past to assess quality in pre-analytical phase, it deserves more attention. Aim This study was undertaken to analyse and assess the quality parameters in pre-analytical phase in a histopathology laboratory. Materials and Methods This was a retrospective study done on pre-analytical parameters in histopathology laboratory of a tertiary care centre on 18,626 tissue specimens received in 34 months. Registers and records were checked for efficiency and errors for pre-analytical quality variables: specimen identification, specimen in appropriate fixatives, lost specimens, daily internal quality control performance on staining, performance in inter-laboratory quality assessment program {External quality assurance program (EQAS)} and evaluation of internal non-conformities (NC) for other errors. Results The study revealed incorrect specimen labelling in 0.04%, 0.01% and 0.01% in 2007, 2008 and 2009 respectively. About 0.04%, 0.07% and 0.18% specimens were not sent in fixatives in 2007, 2008 and 2009 respectively. There was no incidence of specimen lost. A total of 113 non-conformities were identified out of which 92.9% belonged to the pre-analytical phase. The predominant NC (any deviation from normal standard which may generate an error and result in compromising with quality standards) identified was wrong labelling of slides. Performance in EQAS for pre-analytical phase was

  2. 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.

  3. Sparse matrix-variate Gaussian process blockmodels for network modeling

    CERN Document Server

    Yan, Feng; Yuan,; Qi,

    2012-01-01

    We face network data from various sources, such as protein interactions and online social networks. A critical problem is to model network interactions and identify latent groups of network nodes. This problem is challenging due to many reasons. For example, the network nodes are interdependent instead of independent of each other, and the data are known to be very noisy (e.g., missing edges). To address these challenges, we propose a new relational model for network data, Sparse Matrix-variate Gaussian process Blockmodel (SMGB). Our model generalizes popular bilinear generative models and captures nonlinear network interactions using a matrix-variate Gaussian process with latent membership variables. We also assign sparse prior distributions on the latent membership variables to learn sparse group assignments for individual network nodes. To estimate the latent variables efficiently from data, we develop an efficient variational expectation maximization method. We compared our approaches with several state-o...

  4. Business Processes for Enhancing Coordination in Supply Networks

    OpenAIRE

    Henry Xu

    2015-01-01

    In today's supply networks, characterised by increased complexity and uncertainty, fast flow of information and decisions across the supply network is fundamental for improving efficiency and customer service in the global market. In such a complex, dynamic environment, the overall performance of the supply network can only be improved through better coordination of inter-related, boundary-spanning business processes in the network. This paper proposes a conceptual framework for enhanced coor...

  5. On the analytic hierarchy process and decision support based on fuzzy-linguistic preference structures

    DEFF Research Database (Denmark)

    Franco de los Rios, Camilo Andres

    2014-01-01

    The Analytic Hierarchy Process (AHP) has received different fuzzy formulations, where two main lines of research can be identified in literature. The most popular one refers to the Extent Analysis Method, which has been subject of recent criticism, among other things, due to a number of missaplic......The Analytic Hierarchy Process (AHP) has received different fuzzy formulations, where two main lines of research can be identified in literature. The most popular one refers to the Extent Analysis Method, which has been subject of recent criticism, among other things, due to a number of...

  6. Summarizing cellular responses as biological process networks

    OpenAIRE

    Lasher, Christopher D; Rajagopalan, Padmavathy; Murali, T.M.

    2013-01-01

    Abstract Background Microarray experiments can simultaneously identify thousands of genes that show significant perturbation in expression between two experimental conditions. Response networks, computed through the integration of gene interaction networks with expression perturbation data, may themselves contain tens of thousands of interactions. Gene set enrichment has become standard for summarizing the results of these analyses in te...

  7. 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

  8. Decisive Conditions for an Effective and Efficient Multi-modal Freight Transport Network in Europe: A Meta-Analytic Perspective

    OpenAIRE

    Bithas, Kostas; Nijkamp, Peter

    1997-01-01

    The paper addresses the issue of intermodality in European transport policy. Its aim is to derive critical factors for an effective and efficient multimodal freight transport network in Europe. The results of a survey among European transport experts are presented, while a new meta-analytic technique - roughset analysis - is deployed to infer testable conclusions.

  9. Analytic Hierarchy Process and the Farmer's Decision Problem: Choosing Between Alternative Farming Systems

    OpenAIRE

    Mawampanga, M. N.; Debertin, David L.

    1994-01-01

    In this article we illustrate the application of a new method, the Analytic Hierarchy Process (AHP), to a problem in farmer decision making. Unlike traditional decision tools, AHP is based on the principle that decision maker knowledge and experience are as valuable to the decision making process as quantitative data and information from other sources. In this theory of measurement, quantitative and intangible criteria in the decision making process are blended. Recently, AHP was applied to p...

  10. 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.

  11. Logical Sensor Network: An Abstraction of Sensor Data Processing over Multidomain Sensor Network

    OpenAIRE

    Naoya Namatame; Jin Nakazawa; Hideyuki Tokuda

    2012-01-01

    This paper focuses on a sensor network virtualization over multidomain sensor network and proposes an abstraction called “logical sensor network (LSN)” for sensor data processing. In the proposed abstraction, processing is a directed acyclic graph that consists of nodes and streams, which represents a small data processor and communication rules between them, respectively. We have added a notion of a trigger to this graph. A trigger represents a timing of the process execution. We have implem...

  12. 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

  13. Optical processing for future computer networks

    Science.gov (United States)

    Husain, A.; Haugen, P. R.; Hutcheson, L. D.; Warrior, J.; Murray, N.; Beatty, M.

    1986-01-01

    In the development of future data management systems, such as the NASA Space Station, a major problem represents the design and implementation of a high performance communication network which is self-correcting and repairing, flexible, and evolvable. To obtain the goal of designing such a network, it will be essential to incorporate distributed adaptive network control techniques. The present paper provides an outline of the functional and communication network requirements for the Space Station data management system. Attention is given to the mathematical representation of the operations being carried out to provide the required functionality at each layer of communication protocol on the model. The possible implementation of specific communication functions in optics is also considered.

  14. 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......) including estimation of their "petrophysical" properties (e.g. absolute permeability). 3) Mathematical modelling and computer studies of multiphase transport through pore space using mathematical network models. 4) Investigation of link between pore-scale and macroscopic recovery mechanisms....

  15. 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....

  16. Designer networks for time series processing

    DEFF Research Database (Denmark)

    Svarer, C; Hansen, Lars Kai; Larsen, Jan;

    1993-01-01

    networks using the so-called optima brain damage (OBD) method. The benefits from compact architectures are three-fold. Their generalization ability is at least comparable,they involve less computational burden, and they are faster to adapt if the environment changes. It is shown that the generalization...... error of the network may be estimated, without extensive cross-validation, using a modification of Akaike's final prediction error (FPE) estimate (1969)...

  17. 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.

  18. 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

  19. Design concepts for an analytical chemistry laboratory to support plutonium processing

    Energy Technology Data Exchange (ETDEWEB)

    Wade, M.A.; Treibs, H.A.; Hartenstein, S.D.

    1990-08-31

    Design concepts were developed for an analytical chemistry laboratory to support the plutonium processing functions of the Special Isotope Separation (SIS) Production Plant. These concepts include pneumatic sample delivery, total containment of samples during analyses, robotic-based dry sample storage, continuous flow air locks for introducing supplies into the gloveboxes, and a within-laboratory sample transport system capable of multiple, simultaneous transfers.

  20. Design concepts for an analytical chemistry laboratory to support plutonium processing

    International Nuclear Information System (INIS)

    Design concepts were developed for an analytical chemistry laboratory to support the plutonium processing functions of the Special Isotope Separation (SIS) Production Plant. These concepts include pneumatic sample delivery, total containment of samples during analyses, robotic-based dry sample storage, continuous flow air locks for introducing supplies into the gloveboxes, and a within-laboratory sample transport system capable of multiple, simultaneous transfers

  1. 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.

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

    Institute of Scientific and Technical Information of China (English)

    钟卫涛; 邵之江; 张余岳; 钱积新

    2000-01-01

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

  3. Extending Practical Pre-Aggregation in On-Line Analytical Processing

    DEFF Research Database (Denmark)

    Pedersen, Torben Bach; Jensen, Christian Søndergaard; Dyreson, Curtis E.

    On-Line Analytical Processing (OLAP) based on a dimensional view of data is being used increasingly in traditional business applications as well as in applications such as health care for the purpose of analyzing very large amounts of data. Pre-aggregation, the prior materialization of aggregate...

  4. Application of the analytic hierarchy process method in the selection of optimal tactical radio communication systems

    Directory of Open Access Journals (Sweden)

    Saša M. Devetak

    2011-07-01

    Full Text Available This article deals with the analytic hierarchy process method in selecting an optimal tactic radio communication system. The problem has been defined, followed by the description of the AHP method procedure as well as the criteria and alternatives for radio communication systems. The problem was solved using the mathematical model and the presented software.

  5. Application of the analytic hierarchy process method in the selection of optimal tactical radio communication systems

    OpenAIRE

    Saša M. Devetak; Miroslav R. Terzić

    2011-01-01

    This article deals with the analytic hierarchy process method in selecting an optimal tactic radio communication system. The problem has been defined, followed by the description of the AHP method procedure as well as the criteria and alternatives for radio communication systems. The problem was solved using the mathematical model and the presented software.

  6. 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…

  7. Internet-based reporting system for the US Department of Energy extended network of analytical laboratories

    International Nuclear Information System (INIS)

    The official implementation of environmental sampling under Programme 93+2 as a means to enhance nuclear safeguards for the International Atomic Energy Agency (IAEA) has led the U.S. Department of Energy (DOE) Extended Network of Analytical Laboratories (ENWAL) to reevaluate the effectiveness and efficiency of its support program in this area. One area of particular concern deals with the methods used for information transfer between the various DOE laboratories, the DOE coordination center in Oak Ridge, and IAEA headquarters in Vienna. This reevaluation has also been extended to included the type and structure of the database used to manage environmental sampling data generated within the DOE ENWAL. Efforts are currently underway to migrate to the same database used by the IAEA to manage environmental sampling data, and to develop a new database structure that allows easier use by the IAEA. The most important part of this upgrade program is the move to the internet to allow secure worldwide, dynamic access by all authorized users of the DOE system. As currently envisioned, a secure web browser and appropriate access privileges are all that will required to use the DOE data reporting and communication system. All transactions involving IAEA environmental samples, such as analysis requests, shipping notification, status information, and data reporting will be conducted over the internet under dynamic conditions. (author)

  8. 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.

  9. Development of a machine tool selection system using analytic hierarchy process

    OpenAIRE

    Çimren, Emrah; Cimren, Emrah; Çatay, Bülent; Catay, Bulent; Budak, Erhan

    2004-01-01

    The selection of appropriate machines is one of the most critical decisions in the design and development of an efficient production environment. In this study, we propose a decision support system for machine tool selection using an effective algorithm, the analytic hierarchy process. In the selection process, we first consider qualitative decision criteria that are related to the machine properties. Reliability and precision analyses may be included in the detailed evaluation procedure. Fur...

  10. Analytical modeling of turn-milling process geometry, kinematics and mechanics

    OpenAIRE

    Karagüzel, Umut; Karaguzel, Umut; Uysal, Emre; Budak, Erhan; Bakkal, Mustafa

    2014-01-01

    This paper presents an analytical approach for modeling of turn-milling which is a promising cutting process combining two conventional machining operations; turning and milling. This relatively new technology could be an alternative to turning for improved productivity in many applications but especially in cases involving hard-to-machine material or large work diameter. Intermittent nature of the process reduces forces on the workpiece, cutting temperatures and thus tool wear, and helps bre...

  11. Analytical and Computational Study of Economic Dynamical Processes by Methods of Wave Dynamics

    OpenAIRE

    Bagdoev, Alexsander; Vardanyan, Sedrak; Karapetyan, Diana; Martirosyan, Hegnar

    2009-01-01

    By methods of wave dynamics nonlinear equations for economic dynamical processes are derived. They deal both with the transition probabilities of Markov diffusion processes and the ones of random functions values. By using the mean curves of variations of random functions values with respect to time the nonlinear equations coefficients are ob-tained. Analytic and numerical solutions for several economic problems, such as the Black-Sholes precise bonds dynam-ics problem and others are found

  12. 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. PMID:26091582

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

    OpenAIRE

    C.C. Castro; Martins, Rui C.; J. A. Teixeira; Ferreira, António C.

    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...

  14. Network cloning unfolds the effect of clustering on dynamical processes

    Science.gov (United States)

    Faqeeh, Ali; Melnik, Sergey; Gleeson, James P.

    2015-05-01

    We introduce network L -cloning, a technique for creating ensembles of random networks from any given real-world or artificial network. Each member of the ensemble is an L -cloned network constructed from L copies of the original network. The degree distribution of an L -cloned network and, more importantly, the degree-degree correlation between and beyond nearest neighbors are identical to those of the original network. The density of triangles in an L -cloned network, and hence its clustering coefficient, is reduced by a factor of L compared to those of the original network. Furthermore, the density of loops of any fixed length approaches zero for sufficiently large values of L . Other variants of L -cloning allow us to keep intact the short loops of certain lengths. As an application, we employ these network cloning methods to investigate the effect of short loops on dynamical processes running on networks and to inspect the accuracy of corresponding tree-based theories. We demonstrate that dynamics on L -cloned networks (with sufficiently large L ) are accurately described by the so-called adjacency tree-based theories, examples of which include the message passing technique, some pair approximation methods, and the belief propagation algorithm used respectively to study bond percolation, SI epidemics, and the Ising model.

  15. 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...

  16. Time scales and dynamical processes in activity driven networks

    Science.gov (United States)

    Perra, Nicola; Goncalves, Bruno; Pastor-Satorras, Romualdo; Vespignani, Alessandro

    2012-02-01

    Network science has undergone explosive growth in the last ten years. This growth has been driven by the recent availability of huge digital databases, which has facilitated the analysis and construction of large-scale networks from real data and the identification of statistical regularities and structural principles common to many systems. Network modeling has played an essential role in this endeavor; however models are chiefly constructed by considering as relevant ingredients only the connectivity and statistical properties of the networks, while disregarding the actual agents' behavior. Here we address this challenge by measuring the agents' interaction activity in real-world networks and defining a minimal model capable of reproducing the intrinsically additive nature of connectivity patterns obtained from time-aggregated network representations. Additionally, we demonstrate that processes such as epidemic and information spreading in highly dynamical networks can be better characterized in terms of agent social activity than by connectivity based approaches

  17. MODEL OF INFORMATION SECURITY FOR CONTROL PROCESSES OF COMPUTER NETWORKS

    Directory of Open Access Journals (Sweden)

    Kucher V. A.

    2015-06-01

    Full Text Available In order to improve the security of information transfer we have offered one of the possible approaches to modeling process control computer networks with elements of intelligent decision support. We proceed from the graph model of network nodes which are network devices with software control agents, and arcs are logical channels of information exchange between the equipment computer systems. We built an addressless sensing technology which ensures the completeness of monitoring of all network equipment. To classify the computer networks state we provided a method for calculating the values of reliability. Development of signal mismatch triggers the control cycle as a result of which the adjustment of the state of network equipment. For existing tools we proposed adding network control expert system consists of a knowledge base, inference mechanism and means of description and fill in the knowledge base

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

    International Nuclear Information System (INIS)

    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

  19. Network measures for characterising team adaptation processes

    NARCIS (Netherlands)

    Barth, S.K.; Schraagen, J.M.C.; Schmettow, M.

    2015-01-01

    The aim of this study was to advance the conceptualisation of team adaptation by applying social network analysis (SNA) measures in a field study of a paediatric cardiac surgical team adapting to changes in task complexity and ongoing dynamic complexity. Forty surgical procedures were observed by tr

  20. Selection of welding process to fabricate butt joints of high strength aluminium alloys using analytic hierarchic process

    International Nuclear Information System (INIS)

    Selection of welding process is an unstructured decision problem involving multiple attributes (factors). To provide decision support for the welding or design engineer, an all encompassing analysis of multiple attributes is necessary. The present paper reports a new procedure using an analytic hierarchic process (AHP) for the selection of a welding process to fabricate butt joints of high strength aluminium alloy of AA 7075 grade, based on the qualitative factors of welding processes, when the quantitative factors appear to be equal. The following three welding processes from arc welding family are generally used to fabricate high strength aluminium alloys: (i) gas metal arc welding (GMAW) (ii) gas tungsten arc welding (GTAW), and (iii) plasma arc welding (PAW). Of the three available processes, the best process has been selected by doing qualitative analysis with the help of AHP and in the present case, for welding high strength aluminium alloy, the best process is GTAW

  1. Interestingness-Driven Diffusion Process Summarization in Dynamic Networks

    DEFF Research Database (Denmark)

    Qu, Qiang; Liu, Siyuan; Jensen, Christian Søndergaard;

    2014-01-01

    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...... 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...... 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...

  2. Neural networks. A new analytical tool, applicable also in nuclear technology

    International Nuclear Information System (INIS)

    The basic concept of neural networks and back propagation learning algorithm are described. The behaviour of typical neural network is demonstrated on a simple graphical case. A short literature survey about the application of neural networks in nuclear science and engineering is made. The application of the neural network to the probability density calculation is shown. (author)

  3. 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…

  4. 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.

  5. Analytical and practical examples of estimating the average nearest-neighbor distance in a rain gauge network

    Energy Technology Data Exchange (ETDEWEB)

    Skok, G. [Faculty for Mathematics and Physics, Univ. of Ljubljana (Slovenia)

    2006-10-15

    This paper deals with estimating the average n-th neighbor distance in a rain gauge network using analytical expressions. Research was carried out to find the relationship between the total number of rain gauges, the area size, and the shape of a domain on one side and the average distance to the n-th neighbor on the other side. Authors such as Hertz (1909) and Chandrasekhar (1943) have shown that when a random distribution of rain gauges and an infinite domain are assumed, a simple analytical formula can be obtained. For a circular domain, one gets a first neighbor formula, given by an integral which has to be integrated numerically. For neighbors located further away and other domain shapes, meaning not infinite and not circular, the best way to estimate the average n-th neighbor distance seems to be a computer program which uses a random number generator to distribute the rain gauges in a domain. After the process of random distribution is complete, then the distance to the n-th neighbor is found for each rain gauge. These distances are then averaged. We performed tests using seven domain shapes and the results show that the average distance to the nearest neighbor is always larger in a limited domain rather than in an infinite domain with the same rain gauge density. The difference between the average distance in an infinite and in a particular domain depends on the shape of the domain and the total number of rain gauges within it. The length of a boundary does not inherently influence the magnitude of the difference. However, the difference is small if the total number of rain gauges is large and a simple infinite domain equation can usually be used. For any tested domain the difference is less than 10% if the number of rain gauges is larger than 100. The assumption of randomly distributed rain gauges limits the usefulness of the method. There are cases, such as smaller countries or country sub-regions, where the rain gauges might be more or less evenly

  6. 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.

  7. Autocatalytic closure and the evolution of cellular information processing networks

    OpenAIRE

    Decraene, James

    2009-01-01

    Cellular Information Processing Networks (CIPNs) are chemical networks of interacting molecules occurring in living cells. Through complex molecular interactions, CIPNs are able to coordinate critical cellular activities in response to internal and external stimuli. We hypothesise that CIPNs may be abstractly regarded as subsets of collectively autocatalytic (i.e., organisationally closed) reaction networks. These closure properties would subsequently interact with the evolution and adaptatio...

  8. Management of social networks in the educational process

    OpenAIRE

    Mora Mora, Higinio; Signes Pont, María Teresa; de Miguel Casado, Gregorio; Gilart Iglesias, Virgilio

    2015-01-01

    The research developed in this work consists in proposing a set of techniques for management of social networks and their integration into the educational process. The proposals made are based on assumptions that have been proven with simple examples in a real scenario of university teaching. The results show that social networks have more capacity to spread information than educational web platforms. Moreover, educational social networks are developed in a context of freedom of expression in...

  9. 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.

  10. 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.

  11. 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...

  12. Identifying and tracking dynamic processes in social networks

    Science.gov (United States)

    Chung, Wayne; Savell, Robert; Schütt, Jan-Peter; Cybenko, George

    2006-05-01

    The detection and tracking of embedded malicious subnets in an active social network can be computationally daunting due to the quantity of transactional data generated in the natural interaction of large numbers of actors comprising a network. In addition, detection of illicit behavior may be further complicated by evasive strategies designed to camouflage the activities of the covert subnet. In this work, we move beyond traditional static methods of social network analysis to develop a set of dynamic process models which encode various modes of behavior in active social networks. These models will serve as the basis for a new application of the Process Query System (PQS) to the identification and tracking of covert dynamic processes in social networks. We present a preliminary result from application of our technique in a real-world data stream-- the Enron email corpus.

  13. Dry sample storage system for an analytical laboratory supporting plutonium processing

    Energy Technology Data Exchange (ETDEWEB)

    Treibs, H.A.; Hartenstein, S.D.; Griebenow, B.L.; Wade, M.A.

    1990-07-25

    The Special Isotope Separation (SIS) plant is designed to provide removal of undesirable isotopes in fuel grade plutonium by the atomic vapor laser isotope separation (AVLIS) process. The AVLIS process involves evaporation of plutonium metal, and passage of an intense beam of light from a laser through the plutonium vapor. The laser beam consists of several discrete wavelengths, tuned to the precise wavelength required to ionize the undesired isotopes. These ions are attracted to charged plates, leaving the bulk of the plutonium vapor enriched in the desired isotopes to be collected on a cold plate. Major portions of the process consist of pyrochemical processes, including direct reduction of the plutonium oxide feed material with calcium metal, and aqueous processes for purification of plutonium in residues. The analytical laboratory for the plant is called the Material and Process Control Laboratory (MPCL), and provides for the analysis of solid and liquid process samples.

  14. Dry sample storage system for an analytical laboratory supporting plutonium processing

    International Nuclear Information System (INIS)

    The Special Isotope Separation (SIS) plant is designed to provide removal of undesirable isotopes in fuel grade plutonium by the atomic vapor laser isotope separation (AVLIS) process. The AVLIS process involves evaporation of plutonium metal, and passage of an intense beam of light from a laser through the plutonium vapor. The laser beam consists of several discrete wavelengths, tuned to the precise wavelength required to ionize the undesired isotopes. These ions are attracted to charged plates, leaving the bulk of the plutonium vapor enriched in the desired isotopes to be collected on a cold plate. Major portions of the process consist of pyrochemical processes, including direct reduction of the plutonium oxide feed material with calcium metal, and aqueous processes for purification of plutonium in residues. The analytical laboratory for the plant is called the Material and Process Control Laboratory (MPCL), and provides for the analysis of solid and liquid process samples

  15. Process and results of analytical framework and typology development for POINT

    DEFF Research Database (Denmark)

    Gudmundsson, Henrik; Lehtonen, Markku; Bauler, Tom;

    2009-01-01

    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...... framework for the subsequent empirical research, lifting off from the initial outline in the POINT proposal, and drawing on existing theories, literature and expert advice. The purpose of this report is to craft such a framework, to describe the logic behind it and the process towards it, and suggest the...

  16. An analytic hierarchy process for benchmarking of automobile car service industry in Indian context

    Directory of Open Access Journals (Sweden)

    Bhupender Singh

    2015-06-01

    Full Text Available This paper proposes an application of Analytical Hierarchy Process (AHP to help decision maker evaluate different processes to identify the weaknesses of an automobile car service where the best alternatives and critical success factors are identified to improve their performances against the market leader. The proposed benchmarking process may help provide effective systematic decision support tool. Thus the endeavor has been made for car service industry to exhibit proposed framework by applying AHP to enhance its competitiveness. The proposed study provides an opportunity to apply to other industries in addition with a diminutive alteration.

  17. 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

  18. 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.

  19. Analytical solution for laser evaporative heating process: time exponentially decaying pulse case

    International Nuclear Information System (INIS)

    The modelling of the laser heating process gives insight into the laser workpiece interaction and minimizes the experimental cost. In the present study, analytical solution for the laser pulse heating process is considered and the closed form solution for the temperature rise due to time exponentially varying pulse is obtained. In the analysis, evaporation of the surface is taken into account. A Laplace transformation method was used when formulating the closed form solution for the temperature profiles. The effect of pulse parameters on the temperature profiles is examined in detail. It is found that the closed form solution derived from the present study reduces to the previously obtained analytical solution when the surface recession velocity is set to zero in the closed form solution. Moreover, the predictions of numerical simulation and closed form solution are found to be in good agreement. (author)

  20. An analytical modeling framework to evaluate converged networks through business-oriented metrics

    International Nuclear Information System (INIS)

    Nowadays, society has increasingly relied on convergent networks as an essential means for individuals, businesses, and governments. Strategies, methods, models and techniques for preventing and handling hardware or software failures as well as avoiding performance degradation are, thus, fundamental for prevailing in business. Issues such as operational costs, revenues and the respective relationship to key performance and dependability metrics are central for defining the required system infrastructure. Our work aims to provide system performance and dependability models for supporting optimization of infrastructure design, aimed at business oriented metrics. In addition, a methodology is also adopted to support both the modeling and the evaluation process. The results showed that the proposed methodology can significantly reduce the complexity of infrastructure design as well as improve the relationship between business and infrastructure aspects

  1. Asymmetric exclusion processes on a closed network with bottlenecks

    International Nuclear Information System (INIS)

    We study the generic nonequilibrium steady states in asymmetric exclusion processes on a closed network with bottlenecks. To this end we propose and study closed simple networks with multiple-connected non-identical junctions. Depending upon the parameters that define the network junctions and the particle number density, the models display phase transitions with both static and moving density inhomogeneities. The currents in the models can be tuned by the junction parameters. Our models highlight how extended and point defects may affect the density profiles in a closed directed network. Phenomenological implications of our results are discussed. (paper)

  2. Online Analytical Processing (OLAP): A Fast and Effective Data Mining Tool for Gene Expression Databases

    OpenAIRE

    Nadim W. Alkharouf; D. Curtis Jamison; Benjamin F. Matthews

    2005-01-01

    Gene expression databases contain a wealth of information, but current data mining tools are limited in their speed and effectiveness in extracting meaningful biological knowledge from them. Online analytical processing (OLAP) can be used as a supplement to cluster analysis for fast and effective data mining of gene expression databases. We used Analysis Services 2000, a product that ships with SQLServer2000, to construct an OLAP cube that was used to mine a time series experiment designed to...

  3. 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)

  4. APPLICATION OF ANALYTIC HIERARCHY PROCESS IN MULTI-OBJECTIVE MIXED INTEGER PROGRAMMING FOR AIRLIFT CAPACITY PLANNING

    OpenAIRE

    BARRY STANNARD; SAJJAD ZAHIR; EARL S. ROSENBLOOM

    2006-01-01

    The analytic hierarchy process is combined with multi-objective mixed integer programming to determine the optimal allocation of a limited number of aircraft among a group of airlift users with varying levels of priority and length of usage. Canadian Forces airlift planners typically encounter such a capacity planning problem. The solution to this problem requires the constrained assignment of n variable length missions (tasks) integrating hundreds of airlift requests from several users with ...

  5. Analytic hierarchy process as module for productivity evaluation and decision-making of the operation theater

    OpenAIRE

    Ezzat, Abdelrahman E. M.; Hamoud, Hesham S.

    2016-01-01

    The analytic hierarchy process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgments of experts to derive priority scales, these scales that measure intangibles in relative terms. The aim of the article was to develop a model for productivity measurement of the operation theater (OT), which could be applied as a model for quality improvement and decision-making. AHP is used in this article to evolve such a model. The steps consist of identifying the critica...

  6. Evaluation and selection of energy technologies using an integrated graph theory and analytic hierarchy process methods

    OpenAIRE

    P. B. Lanjewar; R. V. Rao; A. V. Kale,; J. Taler; P. Ocłoń

    2016-01-01

    The evaluation and selection of energy technologies involve a large number of attributes whose selection and weighting is decided in accordance with the social, environmental, technical and economic framework. In the present work an integrated multiple attribute decision making methodology is developed by combining graph theory and analytic hierarchy process methods to deal with the evaluation and selection of energy technologies. The energy technology selection attributes digraph enables a q...

  7. Application of the analytic hierarchy process (AHP) for selection of forecasting software

    OpenAIRE

    Pekin, Altuğ; Pekin, Altug; Özkan, Gamze; Ozkan, Gamze; Eski, Onur; Karaarslan, Umut; Ertek, Gürdal; Ertek, Gurdal; Kılıç, Kemal; Kilic, Kemal

    2006-01-01

    In this paper, we described an application of the Analytic Hierarchy Process (AHP) for the ranking and selection of forecasting software. AHP is a multi-criteria decision making (MCDM) approach, which is based on the pair-wise comparison of elements of a given set with respect to multiple criteria. Even though there are applications of the AHP to software selection problems, we have not encountered a study that involves forecasting software. We started our analysis by filtering among forecast...

  8. SELECTION OF BUSINESS STRATEGIES FOR QUALITY IMPROVEMENT USING FUZZY ANALYTICAL HIERARCHY PROCESS

    OpenAIRE

    Prasun Das

    2010-01-01

    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 struc...

  9. Application of analytic hierarchy process in mine environmental assesment-take Fuxin mines as example

    International Nuclear Information System (INIS)

    We taking mine environmental assessment work by analytic hierarchy process on the basis of results of remote sensing investigation in Fuxin Mines. Putting forward an assessing system consist of index, method and levels. This system makes the levels by weight percent calculated by judging matrixes. Taking Hebei Mines as an example test the system. It shows that the result by the system is credible and is reasonable. This provides a significant data for the second-mines-plan of Liaoning Province. (authors)

  10. Spectra processing at tooth enamel dosimetry: Analytical description of EPR spectrum at different microwave power

    Energy Technology Data Exchange (ETDEWEB)

    Tieliewuhan, E. [Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553 (Japan); Ivannikov, A. [Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553 (Japan) and Medical Radiological Research Center of RAMS, Korolyov str., 4, Obninsk 249036 (Russian Federation)]. E-mail: ivann@mail.ru; Zhumadilov, K. [Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553 (Japan); Nalapko, M. [Medical Radiological Research Center of RAMS, Korolyov str., 4, Obninsk 249036 (Russian Federation); Tikunov, D. [Medical Radiological Research Center of RAMS, Korolyov str., 4, Obninsk 249036 (Russian Federation); Skvortsov, V. [Medical Radiological Research Center of RAMS, Korolyov str., 4, Obninsk 249036 (Russian Federation); Stepanenko, V. [Medical Radiological Research Center of RAMS, Korolyov str., 4, Obninsk 249036 (Russian Federation); Toyoda, S. [Department of Applied Physics, Okayama University of Science, 1-1 Ridai, Okayama 700-0005 (Japan); Tanaka, K. [Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553 (Japan); Endo, S. [Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553 (Japan); Hoshi, M. [Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553 (Japan)

    2006-04-15

    Variation of the electron paramagnetic resonance (EPR) spectrum of the human tooth enamel recorded at different microwave power is investigated. The analytical models describing the native and the radiation-induced signals in the enamel are proposed, which fit the experimental spectra in wide range of microwave power. These models are designed to use for processing the spectra of irradiated enamel at determination of the absorbed dose from the intensity of the radiation-induced signal.

  11. Integration Quality Function Deployment and Analytic Hierarchy Process Methods to Improve Service Quality

    OpenAIRE

    Shun-Hsing Chen; Fei-Yun Chen; Tsu-Ming Yeh

    2015-01-01

    Customer needs regarding product and service quality are rising. Because of the economic recession, the food and beverage industry faces strong competition. Customer needs can be satisfied only by understanding their needs. Therefore, this study uses Quality Function Deployment (QFD) and the Analytic Hierarchy Process (AHP) to clarify customer needs and to explore the most effective options to improve service quality in the vegetarian foods industry. This study primary objective included: (1)...

  12. Landslide Hazard Zonation in Ardal County (CHaharmahal va Bakhtiari Province, Iran) Using Analytical Hierarchy Process (AHP)

    OpenAIRE

    H. Basiri Dehkordi; M Naderi Khorasgani; J.Mohammadi

    2014-01-01

    Landslide as a global disaster causes great human and financial damages. Identification of landslide causes and zonation assist in instability control and construction projects siting. This study aimed to identify landslide causes and instability zonation in Ardal county, Chaharmahal va Bakhtiari province, Iran, using Analytical Hierarchy Process (AHP). Current landslides were delineated through field survey and interpretation of Earth Google images and geologic maps. By using Digital Elevati...

  13. Examination of Turkey's Renewable Energy and Fossil energy Consumption with Analytic Hierarchy Process (AHP)

    OpenAIRE

    KAPLAN, Yalçın; SARAY, Umut

    2014-01-01

    – In this study, examined renewable energy sources and between fossil energy sources in the Turkey. In addition, the analytical hierarchy process (AHP) to analyze values method was used. SUPER DECİSİONS program was used in this study. As an alternative, renewable energy sources and fossil energy sources was discussed. Criteria; performance, cost, price, and is causing harm to the environment. Super decisions program was used for AHP. To results of the study, compared value 69.15%, the ideal e...

  14. Determinants of Customers’ Satisfaction in the Nigerian Aviation Industry Using Analytic Hierarchy Process (AHP) Model

    OpenAIRE

    B. E A. Oghojafor; Adebola Glorious Adekoya

    2014-01-01

    The aviation industry in Africa‟s most populous nation has been experiencing an explosive growth in recent years with older domestic operators fighting competing new players. The expansion has given Nigerians a wider choice of airlines, many of them flying with new or recently refurbished aircraft, which have helped reverse the country‟s situation for air safety in the wake of a spate of crashes six years ago. This paper applied the Analytic Hierarchy Process to identify the deter...

  15. Determinants of Customers’ Satisfaction in the Nigerian Aviation Industry Using Analytic Hierarchy Process (AHP) Model

    OpenAIRE

    B. E A. Oghojafor

    2014-01-01

    The aviation industry in Africa?s most populous nation has been experiencing an explosive growth in recent years with older domestic operators fighting competing new players. The expansion has given Nigerians a wider choice of airlines, many of them flying with new or recently refurbished aircraft, which have helped reverse the country?s situation for air safety in the wake of a spate of crashes six years ago. This paper applied the Analytic Hierarchy Process to identify the determinants of c...

  16. Integrating group Delphi, analytic hierarchy process and dynamic fuzzy cognitive maps for a climate warning scenario

    OpenAIRE

    Biloslavo, Roberto; Grebenc, Andrej

    2013-01-01

    Purpose - The purpose of this paper is to present the common use of Delphi method, analytic hierarchy process (AHP) and dynamic fuzzy cognitive maps (DFCM) for development of future scenarios in correlation with climate warnings. Design/methodology/approach - The developed global model is based on a cognitive map composed of 28 factors. Among these factors two are independent, namely human consciousness and living standard. These two factors represent the most important levers of control with...

  17. Measuring Corporate Social Responsibility Based on a Fuzzy Analytical Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Shouming Chen

    2011-08-01

    Full Text Available With increasing social awareness on the issue of corporate social responsibility (CSR, the measurement of CSR has received considerable attention in both academic literature and managerial practice. Following a review of CSR theory development and the literature on measures of CSR, this paper proposes a systematic approach to measure CSR using fuzzy analytical hierarchy process (FAHP. In addition, a preliminary investigation is presented to explain how the approach can help in evaluating CSR in practice.

  18. The Evolution of Analytical Hierarchy Process (AHP) as a Decision Making Tool in Property Sectors

    OpenAIRE

    Mohd Safian, Edie Ezwan; Nawawi, Abdul Hadi

    2011-01-01

    In the 1970s, Analytical Hierarchy Process (AHP)has been introduced accidentally by Saaty [4] as a tool to allocate resources and planning needs for the military. However, due to its ability to identify the weightage of variables efficiently in research, it has become popular in many sectors. Basically, AHP is a tool in decision making that arranges the variables into a hierarchical form in order to rank the importance of each variable. Leading to the weightage calculation of the variables in...

  19. An Analytic Hierarchy Process for The Evaluation of Transport Policies to Reduce Climate Change Impacts

    OpenAIRE

    Berrittella, Maria; Certa, A; M. Enea; Zito, P

    2007-01-01

    Transport is the sector with the fastest growth of greenhouse gases emissions, both in developed and in developing countries, leading to adverse climate change impacts. As the experts disagree on the occurrence of these impacts, by applying the analytic hierarchy process (AHP), we have faced the question on how to form transport policies when the experts have different opinions and beliefs. The opinions of experts have been investigated by a means of a survey questionnaire. The results show t...

  20. IMPLEMENTASI METODE DEMPSTER SHAFER ANALYTIC HIERARCHY PROCESS UNTUK PEMILIHAN PROGRAM STUDI CALON MAHASISWA

    OpenAIRE

    Menur Wahyu Pangestika; Oky Dwi Nurhayati; Suryono Suryono

    2016-01-01

    Methods Dempster Shafer Analytic Hierarchy Process is used to rank or sort information based on a number of criteria. DS/AHP advantage of Pairwise Comparison, Consistency Ratio, and Dempster Rule's of Combination, which is used to generate information systems in the form of a sequence of courses as consideration for the selection of majors for prospective students. The sample used in this study were 29 students of five faculty at the University of Diponegoro. The data used is the standard min...

  1. Determining New Markets Using Analytic Hierarchy Process: Case Study in Güral Porcelain

    OpenAIRE

    Habibe Yelda Sener

    2014-01-01

    The aim of this study is to solve the problem of determining the most appropriate new market upon which GüralPorcelain, a Turkish ceramic company exporting to various countries, will invest within the scope of marketdevelopment strategy. In accordance with the purpose of the study, analytic hierarchy process (AHP), whichenables to choose the most appropriate one among the alternatives by using both numeric and nonnumericcriteria, was used. The study was carried out together with Güral Porcela...

  2. Priority survey between indicators and analytic hierarchy process analysis for green chemistry technology assessment

    OpenAIRE

    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 ...

  3. A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments

    OpenAIRE

    Fan Jiang; Carson K. Leung

    2015-01-01

    Big data are everywhere as high volumes of varieties of valuable precise and uncertain data can be easily collected or generated at high velocity in various real-life applications. Embedded in these big data are rich sets of useful information and knowledge. To mine these big data and to discover useful information and knowledge, we present a data analytic algorithm in this article. Our algorithm manages, queries, and processes uncertain big data in cloud environments. More specifically, it m...

  4. Optimization Model for Uncertain Statistics Based on an Analytic Hierarchy Process

    OpenAIRE

    Yongchao Hou

    2014-01-01

    Uncertain statistics is a methodology for collecting and interpreting the expert’s experimental data by uncertainty theory. In order to estimate uncertainty distributions, an optimization model based on analytic hierarchy process (AHP) and interpolation method is proposed in this paper. In addition, the principle of least squares method is presented to estimate uncertainty distributions with known functional form. Finally, the effectiveness of this method is illustrated by an example.

  5. Measuring Corporate Social Responsibility Based on a Fuzzy Analytical Hierarchy Process

    OpenAIRE

    Shouming Chen; Jiasi Fan

    2011-01-01

    With increasing social awareness on the issue of corporate social responsibility (CSR), the measurement of CSR has received considerable attention in both academic literature and managerial practice. Following a review of CSR theory development and the literature on measures of CSR, this paper proposes a systematic approach to measure CSR using fuzzy analytical hierarchy process (FAHP). In addition, a preliminary investigation is presented to explain how the approach can help in evaluating CS...

  6. Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

    OpenAIRE

    JANJIC, ALEKSANDAR; SAVIC, SUZANA; Velimirovic, Lazar; Nikolic, Vesna

    2015-01-01

    Unlike the traditional way of efficiency assessment of renewable energy sources integration, the smart grid concept is introducing new goals and objectives regarding increased use of renewable electricity sources, grid security, energy conservation, energy efficiency, and deregulated energy market. Possible benefits brought by renewable sources integration are evaluated by the degree of the approach to the ideal smart grid. In this paper, fuzzy analytical hierarchy process methodology for the...

  7. A Field Study on the Use of Process Mining of Event Logs as an Analytical Procedure in Auditing

    OpenAIRE

    Jans, Mieke; Michael G. Alles; Vasarhelyi, Miklos A.

    2014-01-01

    There is a large body of accounting research literature examining the use of analytical procedures by auditors and proposing either new types of analytical procedures or more effective ways of implementing existing procedures. In this paper, we demonstrate using procurement data from a leading global bank the value added in an audit setting of a new type of analytical procedure: process mining of event logs. In particular, using process mining, we are able to identify numerous transactions th...

  8. 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.

  9. Self-training neural network model for tomography data processing

    Science.gov (United States)

    Kulchin, Yuri N.; Vitrik, Oleg B.; Kamenev, Oleg T.; Kirichenko, Oleg V.; Petrov, Yuri S.; Maksayev, Oleg G.

    1995-04-01

    In this paper we present self-training two-layer neural network model for tomography data processing. This model allows us to reconstruct physical field parameters distribution by use of tomography integral data.

  10. Concepts of the neural network model for tomography data processing

    Science.gov (United States)

    Kulchin, Yuri N.; Vitrik, Oleg B.; Kamenev, Oleg T.; Kirichenko, Oleg V.; Petrov, Yuri S.; Maksayev, Oleg G.

    1995-11-01

    In this paper we present a self-training two-layer neural network model for tomography data processing. This model allows us to reconstruct physical field parameters distribution by use of tomography integral data.

  11. 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 ≈10(4)). 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. PMID:26565363

  12. 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.

  13. 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.

  14. Networks of multi-server queues with parallel processing

    OpenAIRE

    Bonald, Thomas; Comte, Céline

    2016-01-01

    We consider a network of multi-server queues wherein each job can be processed in parallel by any subset of servers within a pre-defined set that depends on its class. Each server is allocated in FCFS order at each queue. Jobs arrive according to Poisson processes, have independent exponential service requirements and are routed independently at random. We prove that, when stable, the network has a product-form stationary distribution. From a practical perspective, we propose an algorithm on ...

  15. Implementing Neural Networks Using VLSI for Image Processing (compression)

    OpenAIRE

    Sindhu R; Dr Shilpa Mehta

    2015-01-01

    Biological systems process the analog signals such as image and sound efficiently. To process the information the way biological systems do we make use of ANN. (Artificial Neural Networks) The focus of this paper is to review the implementation of the neural network architecture using analog components like Gilbert cell multiplier, differential amplifier for neuron activation function and tan sigmoid function circuit using MOS transistor. The neural architecture is trained usin...

  16. Hybrid digital signal processing and neural networks applications in PWRs

    International Nuclear Information System (INIS)

    Signal validation and plant subsystem tracking in power and process industries require the prediction of one or more state variables. Both heteroassociative and auotassociative neural networks were applied for characterizing relationships among sets of signals. A multi-layer neural network paradigm was applied for sensor and process monitoring in a Pressurized Water Reactor (PWR). This nonlinear interpolation technique was found to be very effective for these applications

  17. 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, ...

  18. Neural network training by Kalman filtering in process system monitoring

    International Nuclear Information System (INIS)

    Kalman filtering approach for neural network training is described. Its extended form is used as an adaptive filter in a nonlinear environment of the form a feedforward neural network. Kalman filtering approach generally provides fast training as well as avoiding excessive learning which results in enhanced generalization capability. The network is used in a process monitoring application where the inputs are measurement signals. Since the measurement errors are also modelled in Kalman filter the approach yields accurate training with the implication of accurate neural network model representing the input and output relationships in the application. As the process of concern is a dynamic system, the input source of information to neural network is time dependent so that the training algorithm presents an adaptive form for real-time operation for the monitoring task. (orig.)

  19. 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.

  20. Artificial Neural Network Model for Friction Stir Processing

    Directory of Open Access Journals (Sweden)

    Syed Muhammed Fahd

    2014-06-01

    Full Text Available Friction stir processing (FSP is an effective means of refining grain size of aluminum alloys. An artificial neural network model (ANN is made for predicting the grain size of alloys which are processed by FSP. The simulated results from the model show how grain size varies with the process parameters.

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

    DEFF Research Database (Denmark)

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

    A large focus is placed on sustainability and sustainable practices as a result of the arising environmental issues. As an element of this, sustainable process synthesis and design becomes important. A generic, systematic methodology is proposed for solving the problem of optimal design of...... products from a set or feedstock. The problem to be solved here is the following: for a given set of raw materials, products and a network of processing routes, determine the optimal processing route from a sustainability point of view. Three different processing networks arising from chemical processes...... and reduced in order to include only the relevant alternatives. New alternatives can easily be added and stored in the database. The superstructure of alternatives in the network is then represented using a generic data-independent process model, which yields a mixed integer linear or nonlinear...

  2. 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.

  3. Distributed match-making for processes in computer networks

    OpenAIRE

    Mullender, Sape; Vitányi, Paul

    1986-01-01

    In the very large multiprocessor systems and, on a grander scale, computer networks now emerging, processes are not tied to fixed processors but run on processors taken from a pool of processors. Processors are released when a process dies, migrates or when the process crashes. In distributed operating systems using the service concept, processes can be clients asking for a service, servers giving a service or both. Establishing communication between a process asking for a service and a proce...

  4. 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.

  5. An analytical hierarchy process for decision making of high-level-waste management

    International Nuclear Information System (INIS)

    To prove the existence value of nuclear technology for the world of post cold war, demonstration of safe rad-waste disposal is essential. High-level-waste (HLW) certainly is the key issue to be resolved. To assist a rational and persuasive process on various disposal options, an Analytical Hierarchy Process (AHP) for the decision making of HLW management is presented. The basic theory and rationale are discussed, and applications are shown to illustrate the usefulness of the AHP. The authors wish that the AHP can provide a better direction for the current doomed situations of Taiwan nuclear industry, and to exchange with other countries for sharing experiences on the HLW management

  6. 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...... of a multiauthor review was born. Each section of the multiauthor review has been written by a single expert or group of experts with the aim to report on its own research results. This paper also serves as a comprehensive source of information on PAT topics for the novice reader....

  7. 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.

  8. 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.

  9. 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.

  10. Laser processes and analytics for high power 3D battery materials

    Science.gov (United States)

    Pfleging, W.; Zheng, Y.; Mangang, M.; Bruns, M.; Smyrek, P.

    2016-03-01

    Laser processes for cutting, modification and structuring of energy storage materials such as electrodes, separator materials and current collectors have a great potential in order to minimize the fabrication costs and to increase the performance and operational lifetime of high power lithium-ion-batteries applicable for stand-alone electric energy storage devices and electric vehicles. Laser direct patterning of battery materials enable a rather new technical approach in order to adjust 3D surface architectures and porosity of composite electrode materials such as LiCoO2, LiMn2O4, LiFePO4, Li(NiMnCo)O2, and Silicon. The architecture design, the increase of active surface area, and the porosity of electrodes or separator layers can be controlled by laser processes and it was shown that a huge impact on electrolyte wetting, lithium-ion diffusion kinetics, cell life-time and cycling stability can be achieved. In general, the ultrafast laser processing can be used for precise surface texturing of battery materials. Nevertheless, regarding cost-efficient production also nanosecond laser material processing can be successfully applied for selected types of energy storage materials. A new concept for an advanced battery manufacturing including laser materials processing is presented. For developing an optimized 3D architecture for high power composite thick film electrodes electrochemical analytics and post mortem analytics using laser-induced breakdown spectroscopy were performed. Based on mapping of lithium in composite electrodes, an analytical approach for studying chemical degradation in structured and unstructured lithium-ion batteries will be presented.

  11. 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.

  12. IJA: An Efficient Algorithm for Query Processing in Sensor Networks

    Directory of Open Access Journals (Sweden)

    Dong Hwa Kim

    2011-01-01

    Full Text Available One of main features in sensor networks is the function that processes real time state information after gathering needed data from many domains. The component technologies consisting of each node called a sensor node that are including physical sensors, processors, actuators and power have advanced significantly over the last decade. Thanks to the advanced technology, over time sensor networks have been adopted in an all-round industry sensing physical phenomenon. However, sensor nodes in sensor networks are considerably constrained because with their energy and memory resources they have a very limited ability to process any information compared to conventional computer systems. Thus query processing over the nodes should be constrained because of their limitations. Due to the problems, the join operations in sensor networks are typically processed in a distributed manner over a set of nodes and have been studied. By way of example while simple queries, such as select and aggregate queries, in sensor networks have been addressed in the literature, the processing of join queries in sensor networks remains to be investigated. Therefore, in this paper, we propose and describe an Incremental Join Algorithm (IJA in Sensor Networks to reduce the overhead caused by moving a join pair to the final join node or to minimize the communication cost that is the main consumer of the battery when processing the distributed queries in sensor networks environments. At the same time, the simulation result shows that the proposed IJA algorithm significantly reduces the number of bytes to be moved to join nodes compared to the popular synopsis join algorithm.

  13. Design concepts for an analytical chemistry laboratory to support plutonium processing

    International Nuclear Information System (INIS)

    The Idaho National Engineering Laboratory was chosen as the preferred site for the location of the special isotope separation (SIS) production plant. The SIS plant will use the atomic vapor laser isotope separation process to ionize the undesirable isotopes of plutonium (238Pu, 240Pu, and 241Pu) in the metal vapor and separate them electrostatically from the desirable isotope 239Pu. Feed to the plant will be reactor-grade plutonium oxide, and the product will be weapons-grade plutonium metal. The SIS plant uses both pyrochemical and aqueous processes. An analytical laboratory, the Material and Process Control Laboratory (MPCL), was designed for making chemical measurements for process control, material control and accountability, and criticality safety

  14. Design concepts for an analytical chemistry laboratory to support plutonium processing

    Energy Technology Data Exchange (ETDEWEB)

    Wade, M.A.; Treibs, H.A.; Hartenstein, S.D.

    1990-01-01

    The Idaho National Engineering Laboratory was chosen as the preferred site for the location of the special isotope separation (SIS) production plant. The SIS plant will use the atomic vapor laser isotope separation process to ionize the undesirable isotopes of plutonium ([sup 238]Pu, [sup 240]Pu, and [sup 241]Pu) in the metal vapor and separate them electrostatically from the desirable isotope [sup 239]Pu. Feed to the plant will be reactor-grade plutonium oxide, and the product will be weapons-grade plutonium metal. The SIS plant uses both pyrochemical and aqueous processes. An analytical laboratory, the Material and Process Control Laboratory (MPCL), was designed for making chemical measurements for process control, material control and accountability, and criticality safety.

  15. Design of common heat exchanger network for batch processes

    International Nuclear Information System (INIS)

    Heat integration of energy streams is very important for the efficient energy recovery in production systems. Pinch technology is a very useful tool for heat integration and maximizing energy efficiency. Creating of heat exchangers network as a common solution for systems in batch mode that will be applicable in all existing time slices is very difficult. This paper suggests a new methodology for design of common heat exchanger network for batch processes. Heat exchanger network designs were created for all determined repeatable and non-repeatable time periods – time slices. They are the basis for creating the common heat exchanger network. The common heat exchanger network as solution, satisfies all heat-transfer needs for each time period and for every existing combination of selected streams in the production process. This methodology use split of some heat exchangers into two or more heat exchange units or heat exchange zones. The reason for that is the multipurpose use of heat exchangers between different pairs of streams in different time periods. Splitting of large heat exchangers would maximize the total heat transfer usage of heat exchange units. Final solution contains heat exchangers with the minimum heat load as well as the minimum need of heat transfer area. The solution is applicable for all determined time periods and all existing stream combinations. - Highlights: •Methodology for design of energy efficient systems in batch processes. •Common Heat Exchanger Network solution based on designs with Pinch technology. •Multipurpose use of heat exchangers in batch processes

  16. 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

    nucleation and crystal growth parameters affect the product-process performances (e.g. crystal size distribution (CSD)). Analysis of the proposed PAT system design (closedloop), on the other hand, shows that the effect of the input uncertainties on the outputs (product quality) is minimized, and the target...

  17. 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.

  18. METADATA CHALLENGE FOR QUERY PROCESSING OVER HETEROGENEOUS WIRELESS SENSOR NETWORK

    Directory of Open Access Journals (Sweden)

    C.Komalavalli

    2011-09-01

    Full Text Available Wireless sensor networks become integral part of our life. These networks can be used for monitoringthe data in various domain due to their flexibility and functionality. Query processing and optimizationin the WSN is a very challenging task because of their energy and memory constraint. In this paper, firstour focus is to review the different approaches that have significant impacts on the development ofquery processing techniques for WSN. Finally, we aim to illustrate the existing approach in popularquery processing engines with future research challenges in query optimization.

  19. Metadata Challenge for Query Processing Over Heterogeneous Wireless Sensor Network

    CERN Document Server

    Komalavalli, C

    2011-01-01

    Wireless sensor networks become integral part of our life. These networks can be used for monitoring the data in various domain due to their flexibility and functionality. Query processing and optimization in the WSN is a very challenging task because of their energy and memory constraint. In this paper, first our focus is to review the different approaches that have significant impacts on the development of query processing techniques for WSN. Finally, we aim to illustrate the existing approach in popular query processing engines with future research challenges in query optimization.

  20. 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

  1. Implementing Neural Networks Using VLSI for Image Processing (compression

    Directory of Open Access Journals (Sweden)

    Sindhu R

    2015-04-01

    Full Text Available Biological systems process the analog signals such as image and sound efficiently. To process the information the way biological systems do we make use of ANN. (Artificial Neural Networks The focus of this paper is to review the implementation of the neural network architecture using analog components like Gilbert cell multiplier, differential amplifier for neuron activation function and tan sigmoid function circuit using MOS transistor. The neural architecture is trained using Back propagation algorithm for compressing the image. This paper surveys the methods of implementing the neural network using VLSI .Different CMOS technologies are used for implementing the circuits for arithmetic operations (i.e. 180nm, 45nm, 32nm.And the MOS transistors are working in sub threshold region. In this paper a review is made on how the VLSI architecture is used to implement neural networks and trained for compressing the image.

  2. Prioritizing the countries for BOT nuclear power project using Analytic Hierarchy Process

    International Nuclear Information System (INIS)

    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

  3. Purification of complex biopharmaceuticals with new processes, advanced analytics and computer-aided process design tools

    OpenAIRE

    Martins, Duarte Lima

    2013-01-01

    Viruses are highly efficient vectors that have been used for vaccination and gene therapy applications. However, their complexity renders downstream process particularly challenging since devices and strategies especially designed for virus purification are still lacking or need further optimization. After an introduction to the challenges of virus purification and the current strategies being employed, this dissertation presents the study of three different stages of the downstream proces...

  4. Process and analytical studies of enhanced low severity co-processing using selective coal pretreatment

    Energy Technology Data Exchange (ETDEWEB)

    Baldwin, R.M.; Miller, R.L.

    1990-01-01

    The objectives of the project are to investigate various coal pretreatment techniques and to determine the effect of these pretreatment procedures on the reactivity of the coal. Reactivity enhancement will be evaluated under both direct hydroliquefaction and co-processing conditions. Coal conversion utilizing low rank coals and low severity conditions (reaction temperatures generally less than 350{degrees}C) are the primary focus of the liquefaction experiments, as it is expected that the effect of pretreatment conditions and the attendant reactivity enhancement will be greatest for these coals and at these conditions. This document presents a comprehensive report summarizing the findings on the effect of mild alkylation pretreatment on coal reactivity under both direct hydroliquefaction and liquefaction co-processing conditions. Results of experiments using a dispersed catalyst system (chlorine) are also presented for purposes of comparison. IN general, mild alkylation has been found to be an effective pretreatment method for altering the reactivity of coal. Selective (oxygen) methylation was found to be more effective for high oxygen (subbituminous) coals compared to coals of higher rank. This reactivity enhancement was evidenced under both low and high severity liquefaction conditions, and for both direct hydroliquefaction and liquefaction co-processing reaction environments. Non-selective alkylation (methylation) was also effective, although the enhancement was less pronounced than found for coal activated by O-alkylation. The degree of reactivity enhancement was found to vary with both liquefaction and/or co-processing conditions and coal type, with the greatest positive effect found for subbituminous coal which had been selectively O-methylated and subsequently liquefied at low severity reaction conditions. 5 refs., 18 figs., 9 tabs.

  5. Cortical network architecture for context processing in primate brain.

    Science.gov (United States)

    Chao, Zenas C; Nagasaka, Yasuo; Fujii, Naotaka

    2015-01-01

    Context is information linked to a situation that can guide behavior. In the brain, context is encoded by sensory processing and can later be retrieved from memory. How context is communicated within the cortical network in sensory and mnemonic forms is unknown due to the lack of methods for high-resolution, brain-wide neuronal recording and analysis. Here, we report the comprehensive architecture of a cortical network for context processing. Using hemisphere-wide, high-density electrocorticography, we measured large-scale neuronal activity from monkeys observing videos of agents interacting in situations with different contexts. We extracted five context-related network structures including a bottom-up network during encoding and, seconds later, cue-dependent retrieval of the same network with the opposite top-down connectivity. These findings show that context is represented in the cortical network as distributed communication structures with dynamic information flows. This study provides a general methodology for recording and analyzing cortical network neuronal communication during cognition. PMID:26416139

  6. Network-based business process management: embedding business logic in communications networks

    OpenAIRE

    Pau, Louis-François; Vervest, Peter

    2003-01-01

    textabstractAdvanced Business Process Management (BPM) tools enable the decomposition of previously integrated and often ill-defined processes into re-usable process modules. These process modules can subsequently be distributed on the Internet over a variety of many different actors, each with their own specialization and economies-of-scale. The economic benefits of process specialization can be huge. However, how should such actors in a business network find, select, and control, the best p...

  7. 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.

  8. Energy Efficient Data Processing in Visual Sensor Network

    OpenAIRE

    Harish H Kenchannavar; Sushma. S. Kudtarkar; U.P. KulKarni

    2010-01-01

    Identifying moving objects from a video sequence is a fundamental and critical task in many computervisionapplications. After the images are captured they must be processed and then sent to the server. Inthis paper we characterize the energy consumption of a visual sensor network testbed. Each node in thetestbed consists of a “single-board computer”, equipped with a network card and a webcam. We assessthe energy consumption of activities representative of the target application (e.g., perimet...

  9. Network effects on the internationalization process of Icelandic Software Firms

    OpenAIRE

    Tryggvi Jónsson

    2014-01-01

    Background Changes in the international market environment have allowed software firms from small economies to reach market niches across the globe. The use of network relationships can help firms to skip stages in the internationalization processes and link together resources or reach market niches that are not available domestically. Problem Many studies have pointed out the influence of network relationships on the internationalization decisions of SMEs. The market for software i...

  10. Process identification through modular neural networks and rule extraction

    OpenAIRE

    Zwaag, van der, M.B.; Slump, Kees; Spaanenburg, Lambert; Ruan, Da; D'hondt, Pierre; Etienne E. Kerre

    2002-01-01

    Monolithic neural networks may be trained from measured data to establish knowledge about the process. Unfortunately, this knowledge is not guaranteed to be found and - if at all - hard to extract. Modular neural networks are better suited for this purpose. Domain-ordered by topology, rule extraction is performed module by module. This has all the benefits of a divide-and-conquer method and opens the way to structured design. This paper discusses a next step in this direction by illustrating ...

  11. 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. PMID:25350022

  12. Impact of Recent Hardware and Software Trends on High Performance Transaction Processing and Analytics

    Science.gov (United States)

    Mohan, C.

    In this paper, I survey briefly some of the recent and emerging trends in hardware and software features which impact high performance transaction processing and data analytics applications. These features include multicore processor chips, ultra large main memories, flash storage, storage class memories, database appliances, field programmable gate arrays, transactional memory, key-value stores, and cloud computing. While some applications, e.g., Web 2.0 ones, were initially built without traditional transaction processing functionality in mind, slowly system architects and designers are beginning to address such previously ignored issues. The availability, analytics and response time requirements of these applications were initially given more importance than ACID transaction semantics and resource consumption characteristics. A project at IBM Almaden is studying the implications of phase change memory on transaction processing, in the context of a key-value store. Bitemporal data management has also become an important requirement, especially for financial applications. Power consumption and heat dissipation properties are also major considerations in the emergence of modern software and hardware architectural features. Considerations relating to ease of configuration, installation, maintenance and monitoring, and improvement of total cost of ownership have resulted in database appliances becoming very popular. The MapReduce paradigm is now quite popular for large scale data analysis, in spite of the major inefficiencies associated with it.

  13. Acid in perchloroethylene scrubber solutions used in HTGR fuel preparation processes. Analytical chemistry studies

    International Nuclear Information System (INIS)

    Acids and corrosion products in used perchloroethylene scrubber solutions collected from HTGR fuel preparation processes have been analyzed by several analytical methods to determine the source and possible remedy of the corrosion caused by these solutions. Hydrochloric acid was found to be concentrated on the carbon particles suspended in perchloroethylene. Filtration of carbon from the scrubber solutions removed the acid corrosion source in the process equipment. Corrosion products chemisorbed on the carbon particles were identified. Filtered perchloroethylene from used scrubber solutions contained practically no acid. It is recommended that carbon particles be separated from the scrubber solutions immediately after the scrubbing process to remove the source of acid and that an inhibitor be used to prevent the hydrolysis of perchloroethylene and the formation of acids

  14. Study progression in application of process analytical technologies on film coating

    Directory of Open Access Journals (Sweden)

    Tingting Peng

    2015-06-01

    Full Text Available Film coating is an important unit operation to produce solid dosage forms, thereby, the monitoring of this process is helpful to find problems in time and improve the quality of coated products. Traditional methods adopted to monitor this process include measurement of coating weight gain, performance of disintegration and dissolution test, etc. However, not only do these methods cause destruction to the samples, but also consume time and energy. There have recently emerged the applications of process analytical technologies (PAT on film coating, especially some novel spectroscopic and imaging technologies, which have the potential to real-time track the progress in film coating and optimize production efficiency. This article gives an overview on the application of such technologies for film coating, with the goal to provide a reference for the further researches.

  15. INTEGRATING FACTOR ANALYSIS AND ANALYTIC HIERARCHY PROCESS FOR LIBRARY SERVICE QUALITY

    Directory of Open Access Journals (Sweden)

    K.Venkata Subbaiah

    2011-09-01

    Full Text Available In this paper an attempt has been made to propose a methodology f or identifying and prioritizing the user needs pertaining to library services. I n order to categorize the user needs into quality dimensions, Factor analysis has been carried out on user responses obtained through questionnaire survey. Analytic Hierarchy Process (AHP is employed to determine the priority ratings of the library quality dimensions. The priority structure of the quality dimension s provides an idea for the library management to allocate the resources in an effective manner to achieve more user satisfaction. A case study is presented to demonstrate the proposed methodology.

  16. 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.

  17. Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process

    DEFF Research Database (Denmark)

    Govindan, Kannan; Kaliyan, Mathiyazhagan; Kannan, Devika; Haq, A. N.

    Manufacturing industries started adopting the green concept in their supply chain management recently to focus on environmental issues. But, industries still struggle to identify barriers hindering green supply chain management implementation. This work focuses on identifying barriers to the...... implementation of a green supply chain management (Green SCM) based on procurement effectiveness. A total of 47 barriers were identified, both through detailed literature and discussion with industrial experts and through a questionnaire-based survey from various industrial sectors. Essential barriers....../priorities are identified through recourse to analytic hierarchy process. Finally, a sensitivity analysis investigates priority ranking stability. © 2013 Elsevier B.V....

  18. ANALYSIS OF SELECTION INDICATORS OF BADMINTON PLAYERS BY THE DELPHI METHOD AND ANALYTIC HIERARCHY PROCESS

    Directory of Open Access Journals (Sweden)

    Han-Chen Huang

    2015-02-01

    Full Text Available This study aims to clarify the selection standard of potential badminton players and construct an evaluation model of badminton players. Through literature review and the Delphi Method, this study validated the selection indicators of badminton team players: body type, physical qualities, physical functions, psychological qualities, and intelligence level, including a total of 17 detailed indicators. The researcher then interviewed badminton coaches and applied Analytic Hierarchy process (AHP to determine the importance of the indicators of potential badminton players for badminton coaches. A selection model of badminton players was constructed. The results can serve as reference for badminton coaches’ scientific and objective selection of players.

  19. Programming of development of commune with utilization of analytic hierarchic process

    Directory of Open Access Journals (Sweden)

    Aleksandra Łuczak

    2010-01-01

    Full Text Available The paper is a trial of application of analytical hierarchy process to work out scenarios of development of rural commune of Wielkopolska province. In the proposed method consists in building a hierarchical scheme. The scheme covers the general goal which is ensure best by the multi-functional development in administrative district, specific (basic goals and within each goal, a package of a activities can be distinguished which were the basis to work out scenarios of the development of commune. It allowed to choose the best scenario for the administrative district.

  20. 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.

  1. 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.

  2. 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.

  3. Sensitivity analysis of technological, economic and sustainability evaluation of power plants using the analytic hierarchy process

    International Nuclear Information System (INIS)

    Technological, economic and sustainability evaluation of power plants by use of the analytic hierarchy process and nine end node criteria for a reference scenario based on subjective criteria weighting has been presented in a previous paper by authors. However, criteria weight variations may substantially modify overall evaluations and rankings of power plants. The current paper presents a sensitivity analysis with four alternative scenarios (sets of criteria weights) compared with the reference scenario. The results show that priority to 'technology and sustainability' favors renewable energy power plants, while priority to 'economic' criteria favors mainly nuclear power plants and less the four types of fossil fuel power plant

  4. Sensitivity analysis of technological, economic and sustainability evaluation of power plants using the analytic hierarchy process

    International Nuclear Information System (INIS)

    Technological, economic and sustainability evaluation of power plants by use of the analytic hierarchy process and nine end node criteria for a reference scenario based on subjective criteria weighting has been presented in a previous paper by authors. However, criteria weight variations may substantially modify overall evaluations and rankings of power plants. The current paper presents a sensitivity analysis with four alternative scenarios (sets of criteria weights) compared with the reference scenario. The results show that priority to 'technology and sustainability' favors renewable energy power plants, while priority to 'economic' criteria favors mainly nuclear power plants and less the four types of fossil fuel power plant. (author)

  5. Application of the EKD Process Model to Support the Coordination of Collaborative Networks in the Civil Construction Sector

    OpenAIRE

    Neves, Flávia Vancim Frachone; Guerrini, Fábio Müller

    2010-01-01

    The civil construction industry has an operation way similar to virtual organizations, but in not structuralized form, leaving to provide competitive advantages. For in such a way, the paper will propose, through analytical research and case studies and based on EKD (Enterprise Knowledge Development) methodology, the Process Model to support the coordination of collaborative networks in the civil construction sector. This model will analyze each process and information flow contained in the b...

  6. Process and analytical studies of enhanced low severity co-processing using selective coal pretreatment

    Energy Technology Data Exchange (ETDEWEB)

    Baldwin, R.M.; Miller, R.L.

    1991-12-01

    The findings in the first phase were as follows: 1. Both reductive (non-selective) alkylation and selective oxygen alkylation brought about an increase in liquefaction reactivity for both coals. 2. Selective oxygen alkylation is more effective in enhancing the reactivity of low rank coals. In the second phase of studies, the major findings were as follows: 1. Liquefaction reactivity increases with increasing level of alkylation for both hydroliquefaction and co-processing reaction conditions. 2. the increase in reactivity found for O-alkylated Wyodak subbituminous coal is caused by chemical changes at phenolic and carboxylic functional sites. 3. O-methylation of Wyodak subbituminous coal reduced the apparent activation energy for liquefaction of this coal.

  7. Modeling socio-cultural processes in network-centric environments

    Science.gov (United States)

    Santos, Eunice E.; Santos, Eugene, Jr.; Korah, John; George, Riya; Gu, Qi; Kim, Keumjoo; Li, Deqing; Russell, Jacob; Subramanian, Suresh

    2012-05-01

    The major focus in the field of modeling & simulation for network centric environments has been on the physical layer while making simplifications for the human-in-the-loop. However, the human element has a big impact on the capabilities of network centric systems. Taking into account the socio-behavioral aspects of processes such as team building, group decision-making, etc. are critical to realistically modeling and analyzing system performance. Modeling socio-cultural processes is a challenge because of the complexity of the networks, dynamism in the physical and social layers, feedback loops and uncertainty in the modeling data. We propose an overarching framework to represent, model and analyze various socio-cultural processes within network centric environments. The key innovation in our methodology is to simultaneously model the dynamism in both the physical and social layers while providing functional mappings between them. We represent socio-cultural information such as friendships, professional relationships and temperament by leveraging the Culturally Infused Social Network (CISN) framework. The notion of intent is used to relate the underlying socio-cultural factors to observed behavior. We will model intent using Bayesian Knowledge Bases (BKBs), a probabilistic reasoning network, which can represent incomplete and uncertain socio-cultural information. We will leverage previous work on a network performance modeling framework called Network-Centric Operations Performance and Prediction (N-COPP) to incorporate dynamism in various aspects of the physical layer such as node mobility, transmission parameters, etc. We validate our framework by simulating a suitable scenario, incorporating relevant factors and providing analyses of the results.

  8. pn: A Tool for Improved Derivation of Process Networks

    Directory of Open Access Journals (Sweden)

    Sven Verdoolaege

    2007-04-01

    Full Text Available Current emerging embedded System-on-Chip platforms are increasingly becoming multiprocessor architectures. System designers experience significant difficulties in programming these platforms. The applications are typically specified as sequential programs that do not reveal the available parallelism in an application, thereby hindering the efficient mapping of an application onto a parallel multiprocessor platform. In this paper, we present our compiler techniques for facilitating the migration from a sequential application specification to a parallel application specification using the process network model of computation. Our work is inspired by a previous research project called Compaan. With our techniques we address optimization issues such as the generation of process networks with simplified topology and communication without sacrificing the process networks' performance. Moreover, we describe a technique for compile-time memory requirement estimation which we consider as an important contribution of this paper. We demonstrate the usefulness of our techniques on several examples.

  9. 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...... 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...... generation of pikes. When a stimulus is applied to the network, the spontaneous rings may prevail and hamper detection of the effects of the stimulus. Therefore, the spontaneous rings cannot be ignored and the response latency has to be detected on top of a background signal. Everything becomes more dicult...

  10. Artificial Neural Network Based Control Strategies for Paddy Drying Process

    Directory of Open Access Journals (Sweden)

    Shekhar F. Lilhare

    2014-10-01

    Full Text Available Paddy drying process depends upon ambient conditions, paddy quality, temperature and mass of hot drying air. Existing techniques of paddy drying process are highly nonlinear. In this paper, a neural network based automated controller for paddy drying is designed. The designed controller manages the steam temperature and blower motor speed to achieve constant paddy drying time. A Layer recurrent neural network is adopted for the controller. Atmospheric conditions such as temperature and humidity along with the size of the paddy are used as input to the network. Experimental results show that the developed controller can be used to control the paddy drying process. Implementation of developed controller will help in controlling the drying time at almost constant value which will definitely improve the quality of rice.

  11. Entropy Rate of Diffusion Processes on Complex Networks

    OpenAIRE

    Gomez-Gardenes, Jesus; Latora, Vito

    2007-01-01

    The concept of entropy rate for a dynamical process on a graph is introduced. We study diffusion processes where the node degrees are used as a local information by the random walkers. We describe analitically and numerically how the degree heterogeneity and correlations affect the diffusion entropy rate. In addition, the entropy rate is used to characterize complex networks from the real world. Our results point out how to design optimal diffusion processes that maximize the entropy for a gi...

  12. High Performance Convolutional Neural Networks for Document Processing

    OpenAIRE

    Chellapilla, Kumar; Puri, Sidd; Simard, Patrice

    2006-01-01

    Convolutional neural networks (CNNs) are well known for producing state-of-the-art recognizers for document processing [1]. However, they can be difficult to implement and are usually slower than traditional multi-layer perceptrons (MLPs). We present three novel approaches to speeding up CNNs: a) unrolling convolution, b) using BLAS (basic linear algebra subroutines), and c) using GPUs (graphic processing units). Unrolled convolution converts the processing in each convolutional layer (both f...

  13. Adaptivity Support for MPSoCs Based on Process Migration in Polyhedral Process Networks

    OpenAIRE

    Emanuele Cannella; Onur Derin; Paolo Meloni; Giuseppe Tuveri; Todor Stefanov

    2012-01-01

    System adaptivity is becoming an important feature of modern embedded multiprocessor systems. To achieve the goal of system adaptivity when executing Polyhedral Process Networks (PPNs) on a generic tiled Network-on-Chip (NoC) MPSoC platform, we propose an approach to enable the run-time migration of processes among the available platform resources. In our approach, process migration is allowed by a middleware layer which comprises two main components. The first component concerns the inter-ti...

  14. 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.

  15. IMPLEMENTASI METODE DEMPSTER SHAFER ANALYTIC HIERARCHY PROCESS UNTUK PEMILIHAN PROGRAM STUDI CALON MAHASISWA

    Directory of Open Access Journals (Sweden)

    Menur Wahyu Pangestika

    2016-03-01

    Full Text Available Methods Dempster Shafer Analytic Hierarchy Process is used to rank or sort information based on a number of criteria. DS/AHP advantage of Pairwise Comparison, Consistency Ratio, and Dempster Rule's of Combination, which is used to generate information systems in the form of a sequence of courses as consideration for the selection of majors for prospective students. The sample used in this study were 29 students of five faculty at the University of Diponegoro. The data used is the standard minimum value of each faculty and the average value of the semester report card 1-5 Mathematics, Indonesian, English, Biology, Chemistry, and Physics. Results of this study was the software selection study program that gives students the value of trust in each department. Testing the validity of the value of the accuracy of the system is done by comparing the majors were chosen with the recommendation majors produced by the system, resulting accuracy of 79.33%. Keywords : Dempster Shafer Analytic Hierarchy Process; Recommendations department; Standard minimum value; Average value report

  16. Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems

    OpenAIRE

    Cichocki, Andrzej

    2014-01-01

    In this paper we review basic and emerging models and associated algorithms for large-scale tensor networks, especially Tensor Train (TT) decompositions using novel mathematical and graphical representations. We discus the concept of tensorization (i.e., creating very high-order tensors from lower-order original data) and super compression of data achieved via quantized tensor train (QTT) networks. The purpose of a tensorization and quantization is to achieve, via low-rank tensor approximatio...

  17. Systemic risk management and investment analysis with financial network analytics: research opportunities and challenges

    OpenAIRE

    Hu, Daning; Schwabe, Gerhard; Li, Xiao

    2015-01-01

    Recent economic crises like the 2008 financial tsunami has demonstrated a critical need for better understanding of the topologies and various economic, social, and technical mechanisms of the increasingly interconnected global financial system. Such a system largely relies on the interconnectedness of various financial entities such as banks, firms, and investors through complex financial relationships such as interbank payment networks, investment relations, or supply chains. A network-base...

  18. School-based friendship networks and children’s physical activity: A spatial analytical approach

    OpenAIRE

    Macdonald-Wallis, Kyle; Jago, Russell; Page, Angie S; Brockman, Rowan; Thompson, Janice L

    2011-01-01

    Despite the known health benefits, the majority of children do not meet physical activity guidelines, with past interventions to increase physical activity yielding little success. Social and friendship networks have been shown to influence obesity, smoking and academic achievement, and peer-led interventions have successfully reduced the uptake of adolescent smoking. However, the role of social networks on physical activity is not clear. This paper investigates the extent to which friendship...

  19. Nonlinear identification of process dynamics using neural networks

    International Nuclear Information System (INIS)

    In this paper the nonlinear identification of process dynamics encountered in nuclear power plant components is addressed, in an input-output sense, using artificial neural systems. A hybrid feedforward/feedback neural network, namely, a recurrent multilayer perceptron, is used as the model structure to be identified. The feedforward portion of the network architecture provides its well-known interpolation property, while through recurrency and cross-talk, the local information feedback enables representation of temporal variations in the system nonlinearities. The standard backpropagation learning algorithm is modified, and it is used for the supervised training of the proposed hybrid network. The performance of recurrent multilayer perceptron networks in identifying process dynamics is investigated via the case study of a U-tube steam generator. The response of representative steam generator is predicted using a neural network, and it is compared to the response obtained from a sophisticated computer model based on first principles. The transient responses compare well, although further research is warranted to determine the predictive capabilities of these networks during more severe operational transients and accident scenarios

  20. 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

  1. 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.

  2. An Accelerated Analytical Process for the Development of STR Profiles for Casework Samples.

    Science.gov (United States)

    Laurin, Nancy; Frégeau, Chantal J

    2015-07-01

    Significant efforts are being devoted to the development of methods enabling rapid generation of short tandem repeat (STR) profiles in order to reduce turnaround times for the delivery of human identification results from biological evidence. Some of the proposed solutions are still costly and low throughput. This study describes the optimization of an analytical process enabling the generation of complete STR profiles (single-source or mixed profiles) for human identification in approximately 5 h. This accelerated process uses currently available reagents and standard laboratory equipment. It includes a 30-min lysis step, a 27-min DNA extraction using the Promega Maxwell(®) 16 System, DNA quantification in profiles on the 3500-series Genetic Analyzer. This combination of fast individual steps produces high-quality profiling results and offers a cost-effective alternative approach to rapid DNA analysis. PMID:25782346

  3. Flour Supplier Selection in a Bread Factory With Fuzzy Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Burcu Avci Ozturk,

    2012-01-01

    Full Text Available Because of the heavy competition between businesses and uncertainty in market conditions, attainment of complete and certain information flow becomes harder. Especially, in evaluations with linguistic varibles, because of the uncertainty in speaking language, there exists some fuzinesses. In fuzzy environments like this, decision making with fuzzy numbers is rather important. The aim of this study is, to put forward drawbacks of extended analysis technique, which is developed for solving multi criteria decision making problems with Fuzzy Analytic Hierarchy Process (FAHP and evaluation of the applicability of FAHP for supplier selection. In fuzzy environments, operations with imprecise data are so important in terms of decision making. FAHP is a decision making tool that supports evaluation of quantitative and qualitative criteria simultaneously. In this study, a bread factory’s flour supplier selection process is evaluated by FAHP and extended analysis and total integral techniques are compared. As a result of the comparison, total integral technique has more appropriate conclusions.

  4. Analytical and numerical methods in the theory of random wave processes

    International Nuclear Information System (INIS)

    This paper deals with the evaluation of a two-parameter, two-index, imaginary integral function Csub(n)sup(m)(x,y). The motivation for this analysis arose from the application of stochastic process theory to random ocean wave properties. Physically Csub(n)sup(m)(x,y) represents the normalized cross spectrum between any two components of a random state vector whose components are defined by wave amplitude, vector particle velocity, vector particle acceleration and linearized vector hydrodynamic force on a submerged object. The function Csub(n)sup(m)(x,y), however, is developed in a general fashion so as to be applicable to any two-dimensional random wave process. Numerical and analytical methods are employed to develop thechniques for the evaluation of Csub(n)sup(m)(x,y) and sample graphs are presented

  5. 77 FR 7214 - Notice of Availability: Programmatic Environmental Assessment for Mail Processing Network...

    Science.gov (United States)

    2012-02-10

    ... Availability: Programmatic Environmental Assessment for Mail Processing Network Rationalization Initiative (Formerly Known as the ``Network Optimization'' Initiative), Nationwide AGENCY: Postal Service. ACTION... available a Programmatic Environmental Assessment (PEA) for the Mail Processing Network...

  6. Processing of seismic signals from a seismometer network

    International Nuclear Information System (INIS)

    A description is given of the Seismometer Network Analysis Computer (SNAC) which processes short period data from a network of seismometers (UKNET). The nine stations of the network are distributed throughout the UK and their outputs are transmitted to a control laboratory (Blacknest) where SNAC monitors the data for seismic signals. The computer gives an estimate of the source location of the detected signals and stores the waveforms. The detection logic is designed to maintain high sensitivity without excessive ''false alarms''. It is demonstrated that the system is able to detect seismic signals at an amplitude level consistent with a network of single stations and, within the limitations of signal onset time measurements made by machine, can locate the source of the seismic disturbance. (author)

  7. Complete Condensation of Zero Range Process in Fitness Networks

    Science.gov (United States)

    Su, Gui-Feng; Li, Xiao-Wen; Zhang, Xiao-Bing; Zhang, Yi; Li, Xue

    2015-12-01

    In current paper we study the so-called “complete condensation” of zero range process on the fitness network. It is found that under the high temperature limit, the condensation behavior on the fitness model converges to that of the scale-free network, as expected. However, at some temperatures below the critical temprature of Bose-Einstein condensate phase on the fitness network, the complete condensation occurs as well for some values of δ > δc, which is impossible on scale-free network according to the criterion. Supported by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry (SRF for ROCS, SEM) of China, and National Natural Science Foundation of China under Grant No. 11505115

  8. Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships

    International Nuclear Information System (INIS)

    In this paper we investigate maintenance policy selection (MPS) through the use of the Analytic Hierarchy Process (AHP). A maintenance policy is a policy that dictates which parameter triggers a maintenance action. In practice, selecting the right maintenance policy appears to be a difficult decision. We investigate MPS for naval ships, but our results have wider applicability. For our study we cooperate with the owner and operator of the ships, as well as with a shipbuilder and an original equipment manufacturer of naval ships. We apply a structured five step approach to obtain the relevant criteria that may make one policy preferable over another. The criteria are drawn from both literature and a series of interviews at several navy related companies and are structured into a hierarchy of criteria usable with the AHP. Additionally, we organize three workshops at the three different companies to test the AHP-based MPS approach in practice. We conclude that the AHP is well suited for maintenance policy selection in this broad setting, and that it provides a structured and detailed approach for MPS. Adding to that, it facilitates discussions during and after the sessions, creating a better understanding of the policy selection process. - Highlights: • We use the Analytic Hierarchy Process (AHP) for maintenance policy selection (MPS). • Using both interviews and case studies from the literature, we construct a hierarchy. • In sessions at 3 companies, we find that 1 hierarchy can be used for multiple assets. • The AHP creates a better understanding of the maintenance policy selection process. • Our work is on naval ships, but our approach and findings have wider applicability

  9. Discovering Networks of Perturbed Biological Processes in Hepatocyte Cultures

    Science.gov (United States)

    Lasher, Christopher D.; Rajagopalan, Padmavathy; Murali, T. M.

    2011-01-01

    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. PMID:21245926

  10. 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.

  11. An analytical method for 14C in environmental water based on a wet-oxidation process

    International Nuclear Information System (INIS)

    An analytical method for 14C 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 14C in environmental water, or total 14C, 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 14C 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 14C 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 14C analysis in environmental water, and can be applied also to the analysis of liquid effluent from nuclear facilities. - Highlights: • An analytical method of 14C in environmental water was developed. • Extraction or recovery experiments were conducted with excellent results. • Verification and uncertainty assessment was presented

  12. 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. (PsycINFO Database Record PMID:26214013

  13. 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.

  14. 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.

  15. Diffusion processes of fragmentary information on scale-free networks

    Science.gov (United States)

    Li, Xun; Cao, Lang

    2016-05-01

    Compartmental models of diffusion over contact networks have proven representative of real-life propagation phenomena among interacting individuals. However, there is a broad class of collective spreading mechanisms departing from compartmental representations, including those for diffusive objects capable of fragmentation and transmission unnecessarily as a whole. Here, we consider a continuous-state susceptible-infected-susceptible (SIS) model as an ideal limit-case of diffusion processes of fragmentary information on networks, where individuals possess fractions of the information content and update them by selectively exchanging messages with partners in the vicinity. Specifically, we incorporate local information, such as neighbors' node degrees and carried contents, into the individual partner choice, and examine the roles of a variety of such strategies in the information diffusion process, both qualitatively and quantitatively. Our method provides an effective and flexible route of modulating continuous-state diffusion dynamics on networks and has potential in a wide array of practical applications.

  16. 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

  17. 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.

  18. Performance Evaluation of Bank Branches using Data Envelopment Analysis and Analytical Hierarchy Process (AHP/DEA

    Directory of Open Access Journals (Sweden)

    Younes Kholousi

    2013-06-01

    Full Text Available Performance evaluation is the evaluation and assessment process of the existing situation. It determines how to achieve good status with the specified criteria in a specific period of time with the goal of continuous improvement of the organization performance. Data Envelopment Analysis (DEA is one of the most effective and popular ways to evaluate performance. The basic DEA model does not rank overall and only classifies the options into two groups: efficient and inefficient. However, over the past 10 years, many efforts have been made to classify the options completely with the DEA. This research is another effort to use the concept of DEA in a complete ranking of options by one of the most common methods of multi-criteria decision making, Analytical Hierarchy Process (AHP. AHP/DEA model which is investigated in this research is comprised of two stages. In this study, first the criteria are measured in comparison to each other and the paired comparisons matrix is obtained, using data envelopment analysis. Then, the most efficient branch is determined, using the Analytical Hierarchy Process. Performance evaluation of branches is carried out based on the input and output values. In this study, four input criteria (cost of movable property, labor costs, administrative costs and the number of branch personnel and three output criteria (deposits, granted facilities and branch profits are used to evaluate the efficiency of bank branches in the period of Aban 1384 until Day 1385 for sixteen bank branches in Iran's Sistan and Baluchistan province, using WinQSB and Expert Choice software and the AHP/DEA model. Results showed that the three branches Alavi, Central and Joushkaran have the ranks highest weight respectively. In addition, the results indicated that the method of AHP/DEA is an efficient method for evaluating the performance and can improve the weaknesses of traditional DEA method.

  19. BANKSAFE : Visual analytics for big data in large-scale computer networks

    OpenAIRE

    Fischer, Fabian; Fuchs, Johannes; Mansmann, Florian; Daniel A. Keim

    2015-01-01

    The enormous growth of data in the last decades led to a wide variety of different database technologies. Nowadays, we are capable of storing vast amounts of structured and unstructured data. To address the challenge of exploring and making sense out of big data using visual analytics, the tight integration of such backend services is needed. In this article, we introduce BANKSAFE, which was built for the VAST Challenge 2012 and won the outstanding comprehensive submission award. BANKSAFE is ...

  20. An analysis of a developmentally delayed young girl. Coordinating analytic and developmental processes.

    Science.gov (United States)

    Olesker, Wendy

    2003-01-01

    Clinical material is presented from a multi-year treatment of a five-year-old girl with a variety of developmental interferences, making it necessary to consider whether standard technique would suffice. History includes the fact that she was adopted five days after birth and told as early as possible about her adoption; she was placed in a restrictive brace from four months to twenty months because of congenital hip displasia. Sandy's ability to let in the outside world was limited by her intense denial, not looking, not taking in, and by her detachment. Her passivity--whether a defense (modeled on her experience of physical restraint) or an arrest--was a formidable obstacle to the development of active transference moments. I use this case as an opportunity to look at the role of developmental sequences in the context of the analytic process. While I consciously did not do anything different than I would with any child analytic patient, I intuitively stressed certain kinds of interventions. PMID:14982015

  1. Performance of the analytical solutions for Taylor dispersion process in open channel flow

    Science.gov (United States)

    Zeng, L.; Wu, Zi; Fu, Xudong; Wang, Guangqian

    2015-09-01

    The present paper provides a systematical analysis for concentration distribution of Taylor dispersion in laminar open channel flow, seeking fundamental understandings for the physical process of solute transport that generally applies to natural rivers. As a continuation and a direct numerical verification of the previous theoretical work (Wu, Z., Chen, G.Q., 2014. Journal of Hydrology, 519: 1974-1984.), in this paper we attempt to understand that to what extent the obtained analytical solutions are valid for the multi-dimensional concentration distribution, which is vital for the key conclusion of the so-called slow-decaying transient effect. It is shown that as a first estimation, even asymptotically, the longitudinal skewness of the concentration distribution should be incorporated to predict the vertical concentration correctly. Thus the traditional truncation of the concentration expansion is considered to be insufficient for the first estimation. The analytical solution by the two-scale perturbation analysis with modifications up to the second order is shown to be a most economical solution to give a reasonably good prediction.

  2. 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.

  3. Fault Diagnosis in Process Control Valve Using Artificial Neural Network

    Directory of Open Access Journals (Sweden)

    K. Prabakaran

    2013-05-01

    Full Text Available As modern process industries become more complex, the importance to detect and identify the faulty operation of pneumatic process control valves is increasing rapidly. The prior detection of faults leads to avoiding the system shutdown, breakdown, raw material damage and etc. The proposed approach for fault diagnosis comprises of two processes such as fault detection and fault isolation. In fault diagnosis, the difference between the system outputs and model outputs called as residuals are used to detect and isolate the faults. But in the control valve it is not an easy process due to inherent nonlinearity. The particular values of five measurable quantities from the valve are depend on the commonly occurring faults such as Incorrect supply pressure, Diaphragm leakage and Actuator vent blockage. The correlations between these parameters from the fault values for each operating condition are learned by a multilayer BP Neural Network. The parameter consideration is done through the committee of Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems (DAMADICS. The simulation results using MATLab prove that BP neural network has the ability to detect and identify various magnitudes of the faults and can isolate multiple faults. In addition, it is observed that the network has the ability to estimate fault levels not seen by the network during training.

  4. Lipid Processing Technology: Building a Multilevel Modeling Network

    DEFF Research Database (Denmark)

    Diaz Tovar, Carlos Axel; Mustaffa, Azizul Azri; Hukkerikar, Amol;

    of a computer aided multilevel modeling network consisting a collection of new and adopted models, methods and tools for the systematic design and analysis of processes employing lipid technology. This is achieved by decomposing the problem into four levels of modeling: 1. pure component properties; 2. mixtures...

  5. Lipid Processing Technology: Building a Multilevel Modeling Network

    DEFF Research Database (Denmark)

    Díaz Tovar, Carlos Axel; Mustaffa, Azizul Azri; Mukkerikar, Amol;

    2011-01-01

    The aim of this work is to present the development of a computer aided multilevel modeling network for the systematic design and analysis of processes employing lipid technologies. This is achieved by decomposing the problem into four levels of modeling: i) pure component property modeling...

  6. Building a multilevel modeling network for lipid processing systems

    DEFF Research Database (Denmark)

    Mustaffa, Azizul Azri; Díaz Tovar, Carlos Axel; Hukkerikar, Amol;

    2011-01-01

    The aim of this work is to present the development of a computer aided multilevel modeling network for the systematic design and analysis of processes employing lipid technologies. This is achieved by decomposing the problem into four levels of modeling: i) pure component property modeling...

  7. 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. PMID:26733858

  8. Structured modeling for processes: A thermodynamical network theory

    NARCIS (Netherlands)

    Couenne, Françoise; Jallut, Christian; Maschke, Bernhard; Tayakout, Melaz; Breedveld, Peter C.

    2008-01-01

    We review the use of bond graphs for modeling of physico-chemical processes. We recall that bond graphs define a circuit-type language which root on a thermodynamical consistent definition of its network elements. We present the bond graph basic elements in the light of lumped models arising from ch

  9. 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…

  10. 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...

  11. Signal processing techniques for synchronization of wireless sensor networks

    Science.gov (United States)

    Lee, Jaehan; Wu, Yik-Chung; Chaudhari, Qasim; Qaraqe, Khalid; Serpedin, Erchin

    2010-11-01

    Clock synchronization is a critical component in wireless sensor networks, as it provides a common time frame to different nodes. It supports functions such as fusing voice and video data from different sensor nodes, time-based channel sharing, and sleep wake-up scheduling, etc. Early studies on clock synchronization for wireless sensor networks mainly focus on protocol design. However, clock synchronization problem is inherently related to parameter estimation, and recently, studies of clock synchronization from the signal processing viewpoint started to emerge. In this article, a survey of latest advances on clock synchronization is provided by adopting a signal processing viewpoint. We demonstrate that many existing and intuitive clock synchronization protocols can be interpreted by common statistical signal processing methods. Furthermore, the use of advanced signal processing techniques for deriving optimal clock synchronization algorithms under challenging scenarios will be illustrated.

  12. 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...

  13. 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.

  14. Signal Propagation in Cortical Networks: A Digital Signal Processing Approach

    OpenAIRE

    Rodrigues, Francisco A.

    2009-01-01

    This work reports a digital signal processing approach to representing and modeling transmission and combination of signals in cortical networks. The signal dynamics is modeled in terms of diffusion, which allows the information processing undergone between any pair of nodes to be fully characterized in terms of a finite impulse response (FIR) filter. Diffusion without and with time decay are investigated. All filters underlying the cat and macaque cortical organization are found to be of l...

  15. Process Parameter Optimization of WEDM for AISI M2 & AISI H13 by Anova & Analytic Hierarchy Process

    Directory of Open Access Journals (Sweden)

    Rajkamal Singh Banga

    2014-10-01

    Full Text Available WEDM is a widely recognized unconventional material cutting process used to manufacture components with complex shapes and profiles of hard materials. In this thermal erosion process, there is no physical contact between the wire tool and work materials. AISI M2 and AISI H13 materials are taken for studyand molybdenum wire electrode diameter (0.18mm; experiment is conducted according to Taguchi‟s L16 OA, with input parameters as Peak current, Pulse on, Pulse off their response on MRR, Surface Roughness, Kerf width & Spark Gap is analysed to check the significance of each using ANOVA. Process parameter optimization is done by Analytic Hierarchy Process with the criteria Maximum MRR, minimum kerf and surface roughness. It is observed that for material AISI M2 at low value of peak current (1 A, pulse off (20µs and pulse on (30µs we can minimize surface roughness (3.30µm, kerf width (0.195 mm and maximize MRR (0.022 g/min,from the selected levels whereas for material AISI H13 Peak current (1A, Pulse On (40µs and high Pulse Off (30µs we get better Surface roughness (3.71 µm, kerf width (0.196mm and maximum MRR (0.020g/min, from the selected levels.

  16. 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…

  17. 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

  18. Analytic hierarchy process as module for productivity evaluation and decision-making of the operation theater.

    Science.gov (United States)

    Ezzat, Abdelrahman E M; Hamoud, Hesham S

    2016-01-01

    The analytic hierarchy process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgments of experts to derive priority scales, these scales that measure intangibles in relative terms. The aim of the article was to develop a model for productivity measurement of the operation theater (OT), which could be applied as a model for quality improvement and decision-making. AHP is used in this article to evolve such a model. The steps consist of identifying the critical success factors for measuring the productivity of OT, identifying subfactors that inflauence the critical factors, comparing the pairwise, deriving their relative importance and ratings, and calculating the cumulative effect according to the attributes in OT. The cumulative productivitycan be calculated by the end and can be compared Ideal productivity to measure the productive of OT in percentage fraction. Hence, the productivity could be calculated. Hence, AHP is a very useful model to measure the productivity in OT. PMID:26955599

  19. 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.

  20. 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.

  1. 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

  2. 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.

  3. 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.

  4. Rapid Determination of Optimal Conditions in a Continuous Flow Reactor Using Process Analytical Technology

    Directory of Open Access Journals (Sweden)

    Michael F. Roberto

    2013-12-01

    Full Text Available Continuous flow reactors (CFRs are an emerging technology that offer several advantages over traditional batch synthesis methods, including more efficient mixing schemes, rapid heat transfer, and increased user safety. Of particular interest to the specialty chemical and pharmaceutical manufacturing industries is the significantly improved reliability and product reproducibility over time. CFR reproducibility can be attributed to the reactors achieving and maintaining a steady state once all physical and chemical conditions have stabilized. This work describes the implementation of a smart CFR with univariate physical and multivariate chemical monitoring that allows for rapid determination of steady state, requiring less than one minute. Additionally, the use of process analytical technology further enabled a significant reduction in the time and cost associated with offline validation methods. The technology implemented for this study is chemistry and hardware agnostic, making this approach a viable means of optimizing the conditions of any CFR.

  5. EVALUATING THE SERVICE QUALITY OF THIRDPARTY LOGISTICS SERVICE PROVIDERS USING THE ANALYTIC HIERARCHY PROCESS

    Directory of Open Access Journals (Sweden)

    Soon-hoo So

    2007-01-01

    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.

  6. 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.

  7. 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.

  8. Online Analytical Processing (OLAP: A Fast and Effective Data Mining Tool for Gene Expression Databases

    Directory of Open Access Journals (Sweden)

    Alkharouf Nadim W.

    2005-01-01

    Full Text Available Gene expression databases contain a wealth of information, but current data mining tools are limited in their speed and effectiveness in extracting meaningful biological knowledge from them. Online analytical processing (OLAP can be used as a supplement to cluster analysis for fast and effective data mining of gene expression databases. We used Analysis Services 2000, a product that ships with SQLServer2000, to construct an OLAP cube that was used to mine a time series experiment designed to identify genes associated with resistance of soybean to the soybean cyst nematode, a devastating pest of soybean. The data for these experiments is stored in the soybean genomics and microarray database (SGMD. A number of candidate resistance genes and pathways were found. Compared to traditional cluster analysis of gene expression data, OLAP was more effective and faster in finding biologically meaningful information. OLAP is available from a number of vendors and can work with any relational database management system through OLE DB.

  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. Competence Making on Computer Engineering Program by Using Analytical Hierarchy Process (AHP

    Directory of Open Access Journals (Sweden)

    Ahmad Yani

    2015-09-01

    Full Text Available This paper shows competence election for the students of the Academy of Information Management and Computer (AIMC Mataram on computer engineering courses who completed the study in semester 1, 2 and 3 and choose lesson competence. The competence election on computer engineering courses is intended to make students get easier in choosing the appropriate competence and professional expertise of students in an effort to steer students to the ability and the students' academic achievement. It is an uneasy thing for the students. Limited information make the students find it difficult to choose the competence of determining the best based on the academic achievement and interest. To solve the problems, standard decision support system is required to help and provide a solution or an alternative based on the accurate data by using Analytical Hierarchy Process (AHP that is computerized.

  11. 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.

  12. 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.

  13. An analytical calculation of neighbourhood order probabilities for high dimensional Poissonian processes and mean field models

    International Nuclear Information System (INIS)

    Consider that the coordinates of N points are randomly generated along the edges of a d-dimensional hypercube (random point problem). The probability P(d,N)m,n that an arbitrary point is the mth nearest neighbour to its own nth nearest neighbour (Cox probabilities) plays an important role in spatial statistics. Also, it has been useful in the description of physical processes in disordered media. Here we propose a simpler derivation of Cox probabilities, where we stress the role played by the system dimensionality d. In the limit d → ∞, the distances between pair of points become independent (random link model) and closed analytical forms for the neighbourhood probabilities are obtained both for the thermodynamic limit and finite-size system. Breaking the distance symmetry constraint drives us to the random map model, for which the Cox probabilities are obtained for two cases: whether a point is its own nearest neighbour or not

  14. Testing and Analytical Modeling for Purging Process of a Cryogenic Line

    Science.gov (United States)

    Hedayat, A.; Mazurkivich, P. V.; Nelson, M. A.; Majumdar, A. K.

    2015-01-01

    To gain confidence in developing analytical models of the purging process for the cryogenic main propulsion systems of upper stage, two test series were conducted. The test article, a 3.35 m long with the diameter of 20 cm incline line, was filled with liquid or gaseous hydrogen and then purged with gaseous helium (GHe). Total of 10 tests were conducted. The influences of GHe flow rates and initial temperatures were evaluated. The Generalized Fluid System Simulation Program (GFSSP), an in-house general-purpose fluid system analyzer computer program, was utilized to model and simulate selective tests. The test procedures, modeling descriptions, and the results are presented in the following sections.

  15. Testing and analytical modelling for the purging process of a cryogenic line

    Science.gov (United States)

    Hedayat, A.; Mazurkivich, P. V.; Nelson, M. A.; Majumdar, A. K.

    2015-12-01

    To gain confidence in developing analytical models of the purging process for the cryogenic main propulsion systems of the upper stage, two test series were conducted. The test article, 3.35 m long with a 20-cm-diameter incline line, was filled with liquid or gaseous hydrogen and then purged with gaseous helium (GHe). A total of 10 tests were conducted. The influences of GHe flow rates and initial temperatures were evaluated. The Generalized Fluid System Simulation Program (GFSSP), an in-house general purpose fluid system analyzer computer program, was utilized to model and simulate selective tests. The test procedures, modelling descriptions, and the results are presented in the accompanying text.

  16. 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...... surgical castration will be in effect starting 2018. With the ban, the risk of meat products with the malodorous taint reaching the consumer is highly increased, and thus, detection of boar taint is a necessity. No current on-line detection system is available; the only alternative is chemical extraction...

  17. Technological, economic and sustainability evaluation of power plants using the Analytic Hierarchy Process

    International Nuclear Information System (INIS)

    Complexity of power plant evaluation is steadily rising, as more criteria are involved in the overall assessment while evaluation data change rapidly. Apart from evaluating several aspects of power plants separately, a multicriteria analysis based on hierarchically structured criteria is necessary, so as to address the overall assessment of power plants according to the technological, economic and sustainability aspects. For this reason, in this paper, ten types of power plant are evaluated using nine end node criteria properly structured under the Analytical Hierarchy Process. Moreover, pairwise comparisons allow for accurate subjective criteria weighting. According to the scenario based on the subjective criteria weighting, emphasis is laid on sustainability driving renewable energy power plants at the top of the overall ranking, while nuclear and fossil fuel power plants rank in the last five positions. End node criteria contribution to each power plant and power plant performance per end node criterion is presented for all types of power plant and end node criteria

  18. Technological, economic and sustainability evaluation of power plants using the analytic hierarchy process

    International Nuclear Information System (INIS)

    Complexity of power plant evaluation is steadily rising, as more criteria are involved in the overall assessment while evaluation data change rapidly. Apart from evaluating several aspects of power plants separately, a multicriteria analysis based on hierarchically structured criteria is necessary, so as to address the overall assessment of power plants according to the technological, economic and sustainability aspects. For this reason, in this paper, ten types of power plant are evaluated using nine end node criteria properly structured under the Analytical Hierarchy Process. Moreover, pairwise comparisons allow for accurate subjective criteria weighting. According to the scenario based on the subjective criteria weighting, emphasis is laid on sustainability driving renewable energy power plants at the top of the overall ranking, while nuclear and fossil fuel power plants rank in the last five positions. End node criteria contribution to each power plant and power plant performance per end node criterion is presented for all types of power plant and end node criteria. (author)

  19. An Internet of Things network for proximity based distributed processing

    OpenAIRE

    Koutsoumpakis, Iakovos

    2015-01-01

    The Internet of Things, the interconnection of all computing devices, is a concept that has become very popular nowadays and many companies try to achieve a leading role in shaping its future. Billions of devices are already connected to IoT cloud networks and this number is expected to rapidly increase in the near future. Devices in an IoT cloud network can be producers or consumers of data, while some can be processors. As data often needs processing in order to be transformed from lower to...

  20. BelNet - A computer program for belief-network processing

    International Nuclear Information System (INIS)

    Recent work relating statistical models to graphical representations of dependency relationships has produced new powerful belief-network techniques for propagating the impact of new evidence and beliefs. So far the best applicable methods - with respect to computational complexity - have been developed within the Bayesian tradition, thus implying that beliefs are consistent with the axioms of probability theory. The advocates of these new techniques emphasize that the elementary building-blocks which make up human probabilistic knowledge are not the entries of a joint distribution table but, rather, the low-order marginal and conditional probabilities defined over small clusters of propositions. Belief updating is to be performed by a process that preserves the structure of human reasoning in the sense that each computational step obtains inputs only from neighbouring, semantically related variables. In this report three belief-network algorithms are presented. Two of these are applicable only to singly-connected networks but produce exact results efficiently. The third algorithm uses stochastic simulation to give estimates of exact belief values and is especially suited for complex, nondecomposable models representable by multiply-connected belief networks where the complexity of analytical computation is prohibitive. The algorithms studied apply only to networks with discrete variables. A computer program written in Lisp, which provides means for constructing, modifying and processing belief networks, is described. Implementations of the three algorithms mentioned are included in the capabilities of the program. Additionally, the program offers methods for assessing conditional probabilities between variables by user-defined functions. Functions performing the most important tasks of the program have also been made available for direct use in application programs

  1. 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.

  2. Automatic data processing and crustal modeling on Brazilian Seismograph Network

    Science.gov (United States)

    Moreira, L. P.; Chimpliganond, C.; Peres Rocha, M.; Franca, G.; Marotta, G. S.; Von Huelsen, M. G.

    2014-12-01

    The Brazilian Seismograph Network (RSBR) is a joint project of four Brazilian research institutions with the support of Petrobras and its main goal is to monitor the seismic activities, generate alerts of seismic hazard and provide data for Brazilian tectonic and structure research. Each institution operates and maintain their seismic network, sharing their data in an virtual private network. These networks have seismic stations transmitting in real time (or near real time) raw data to their respective data centers, where the seismogram files are then shared with other institutions. Currently RSBR has 57 broadband stations, some of them operating since 1994, transmitting data through mobile phone data networks or satellite links. Station management, data acquisition and storage and earthquake data processing at the Seismological Observatory of the University of Brasilia is automatically performed by SeisComP3 (SC3). However, the SC3 data processing is limited to event detection, location and magnitude. An automatic crustal modeling system was designed process raw seismograms and generate 1D S-velocity profiles. This system automatically calculates receiver function (RF) traces, Vp/Vs ratio (h-k stack) and surface waves dispersion (SWD) curves. These traces and curves are then used to calibrate the lithosphere seismic velocity models using a joint inversion scheme The results can be reviewed by an analyst, change processing parameters and selecting/neglecting RF traces and SWD curves used in lithosphere model calibration. The results to be obtained from this system will be used to generate and update a quasi-3D crustal model of Brazil's territory.

  3. Decision support for energy conservation promotion: an analytic hierarchy process approach

    International Nuclear Information System (INIS)

    An effective energy conservation program in any country should encourage the different enterprises, utilities and individuals to employ energy efficient processes, technologies, equipment, and materials. Governments use different mechanisms or policy instruments such as pricing policy (PP), regulation and legislation (RL), training and education, fiscal and financial incentives (FFI), and R and D to promote energy conservation. Effective implementation of energy conservation policies requires prioritization of the different available policy instruments. This paper presents an analytic hierarchy process (AHP) based modeling framework for the prioritization of energy conservation policy instruments. The use of AHP to support management in the prioritization process of policy instruments for promoting energy conservation is illustrated in this research using the case study of Jordan. The research provided a comprehensive framework for performing the prioritization in a scientific and systematic manner. The four most promising policy instruments for promoting energy conservation in Jordan are RL (37.4%), followed by FFI (22.2%), PP (18.0%), and Training, education and qualification (14.5%). One of the major advantages of the use of the AHP approach is that it breaks a large problem into smaller problems which enables the decision-maker (DM) to have a better concentration and to make more sound decisions. In addition, AHP employs a consistency test that can screen out inconsistent judgements. The presented methodology of the research might be beneficial to DMs in other countries

  4. Analytical Hierarchy Process for Developing a Building Performance-Risk Rating Tool

    Directory of Open Access Journals (Sweden)

    Khalil Natasha

    2016-01-01

    Full Text Available The need to optimize the performance of buildings has increased consequently due to the expansive supply of facilities in higher education building (HEB. Proper performance assessment as a proactive measure may help university building in achieving performance optimization. However, the current maintenance programs or performance evaluation in the HEB is a systemic and cyclic process where maintenance is considered as an operational issue and not as opposed to a strategic issue. Hence, this paper proposed a Building Performance Risk Rating Tool (BPRT as an improved measure for building performance evaluation by addressing the users' risk in health and safety aspects. The BPRT is developed from the result of a rating index using the Analytical Hierarchy Process (AHP method. 12 facilities management (FM experts and practitioners were involved in the rating process. The subjective weightings are analysed using the AHP computer software, the Expert Choice 11. The establishment of the BPRT was introduced as an aid of improvement towards the current performance assessment of HEB by emerging the concept of building performance and risk into a numerical strategic approach

  5. THz spectroscopy: An emerging technology for pharmaceutical development and pharmaceutical Process Analytical Technology (PAT) applications

    Science.gov (United States)

    Wu, Huiquan; Khan, Mansoor

    2012-08-01

    As an emerging technology, THz spectroscopy has gained increasing attention in the pharmaceutical area during the last decade. This attention is due to the fact that (1) it provides a promising alternative approach for in-depth understanding of both intermolecular interaction among pharmaceutical molecules and pharmaceutical product quality attributes; (2) it provides a promising alternative approach for enhanced process understanding of certain pharmaceutical manufacturing processes; and (3) the FDA pharmaceutical quality initiatives, most noticeably, the Process Analytical Technology (PAT) initiative. In this work, the current status and progress made so far on using THz spectroscopy for pharmaceutical development and pharmaceutical PAT applications are reviewed. In the spirit of demonstrating the utility of first principles modeling approach for addressing model validation challenge and reducing unnecessary model validation "burden" for facilitating THz pharmaceutical PAT applications, two scientific case studies based on published THz spectroscopy measurement results are created and discussed. Furthermore, other technical challenges and opportunities associated with adapting THz spectroscopy as a pharmaceutical PAT tool are highlighted.

  6. Analytical methods to characterize heterogeneous raw material for thermal spray process: cored wire Inconel 625

    Science.gov (United States)

    Lindner, T.; Bonebeau, S.; Drehmann, R.; Grund, T.; Pawlowski, L.; Lampke, T.

    2016-03-01

    In wire arc spraying, the raw material needs to exhibit sufficient formability and ductility in order to be processed. By using an electrically conductive, metallic sheath, it is also possible to handle non-conductive and/or brittle materials such as ceramics. In comparison to massive wire, a cored wire has a heterogeneous material distribution. Due to this fact and the complex thermodynamic processes during wire arc spraying, it is very difficult to predict the resulting chemical composition in the coating with sufficient accuracy. An Inconel 625 cored wire was used to investigate this issue. In a comparative study, the analytical results of the raw material were compared to arc sprayed coatings and droplets, which were remelted in an arc furnace under argon atmosphere. Energy-dispersive X-ray spectroscopy (EDX) and X-ray fluorescence (XRF) analysis were used to determine the chemical composition. The phase determination was performed by X-ray diffraction (XRD). The results were related to the manufacturer specifications and evaluated in respect to differences in the chemical composition. The comparison between the feedstock powder, the remelted droplets and the thermally sprayed coatings allows to evaluate the influence of the processing methods on the resulting chemical and phase composition.

  7. 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.

  8. 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.

  9. Network Scaling Effects in Graph Analytic Studies of Human Resting-State fMRI Data

    OpenAIRE

    Alex Fornito; Bullmore, Edward T.

    2010-01-01

    Graph analysis has become an increasingly popular tool for characterizing topological properties of brain connectivity networks. Within this approach, the brain is modeled as a graph comprising N nodes connected by M edges. In functional magnetic resonance imaging (fMRI) studies, the nodes typically represent brain regions and the edges some measure of interaction between them. These nodes are commonly defined using a variety of regional parcellation templates, which can vary both in the volu...

  10. Critical behavior of the contact process in a multiscale network

    CERN Document Server

    Ferreira, Silvio C; 10.1103/PhysRevE.76.036112

    2011-01-01

    Inspired by dengue and yellow fever epidemics, we investigated the contact process (CP) in a multiscale network constituted by one-dimensional chains connected through a Barab\\'asi-Albert scale-free network. In addition to the CP dynamics inside the chains, the exchange of individuals between connected chains (travels) occurs at a constant rate. A finite epidemic threshold and an epidemic mean lifetime diverging exponentially in the subcritical phase, concomitantly with a power law divergence of the outbreak's duration, were found. A generalized scaling function involving both regular and SF components was proposed for the quasistationary analysis and the associated critical exponents determined, demonstrating that the CP on this hybrid network and nonvanishing travel rates establishes a new universality class.

  11. Probabilistic Models and Process Calculi for Mobile Ad Hoc Networks

    DEFF Research Database (Denmark)

    Song, Lei

    Due to the wide use of communicating mobile devices, mobile ad hoc networks (MANETs) have gained in popularity in recent years. In order that the devices communicate properly, many protocols have been proposed working at different levels. Devices in an MANET are not stationary but may keep moving......, thus the network topology may undergo constant changes. Moreover the devices in an MANET are loosely connected not depending on pre-installed infrastructure or central control components, they exchange messages via wireless connections which are less reliable compared to wired connections. Therefore...... issues in MANETs e.g. mobility and unreliable connections. Specially speaking, 1. We first propose a discrete probabilistic process calculus with which we can model in an MANET that the wireless connection is not reliable, and the network topology may undergo changes. We equip each wireless connection...

  12. Heterogeneous pair-approximation for the contact process on complex networks

    International Nuclear Information System (INIS)

    Recent works have shown that the contact process running on the top of highly heterogeneous random networks is described by the heterogeneous mean-field theory. However, some important aspects such as the transition point and strong corrections to the finite-size scaling observed in simulations are not quantitatively reproduced in this theory. We develop a heterogeneous pair-approximation, the simplest mean-field approach that takes into account dynamical correlations, for the contact process. The transition points obtained in this theory are in very good agreement with simulations. The proximity with a simple homogeneous pair-approximation is elicited showing that the transition point in successive homogeneous cluster approximations moves away from the simulation results. We show that the critical exponents of the heterogeneous pair-approximation in the infinite-size limit are the same as those of the one-vertex theory. However, excellent matches with simulations, for a wide range of network sizes, are obtained when the sub-leading finite-size corrections given by the new theory are explicitly taken into account. The present approach can be suited to dynamical processes on networks in general providing a profitable strategy to analytically assess and fine-tune theoretical corrections

  13. 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.

  14. [Changes in positive mood states by analytic and creative information processing].

    Science.gov (United States)

    Otto, J H; Schmitz, B B

    1993-01-01

    Reviews concerning research on the influence of mood on behavior show (a) that mainly the influence of mood on behavior was investigated and (b) that achievements in memory and cognitive tasks were of central concern (Fiedler, 1988; Isen, 1987). Social behavior was analyzed as a function of these factors. Recent reviews restrict themselves to positive feeling states. Summarizing, Fiedler (1988) describes the information processing style in positive feeling states as "loosening" to capture its qualitative aspects. This study investigates the opposite direction of influence, i.e. the effect of cognitive style on positive feeling states. This study restricts itself to positive feeling states. The compatibility thesis which postulates a necessary interaction of feeling state and information processing style is tested. Equivalent states and productions have to go together to generate the mood effects. In a 2 x 2 x 5 mixed design 70 female students (non-psychologists) served as subjects. Using a 20-minute mood induction procedure (autobiographical recollection methodology) a positive or neutral feeling state was elicited in half of the participants. During the next 10 minutes half of each group worked either on a verbal creativity test (Schoppe, 1975) or on an intelligence test (Amthauer, 1973) to establish an creative or analytic style of information processing. Repeated sampling of a measurement repetition factor served as baseline assessments, manipulation checks, and measurements of the feeling states during the task completion of the creativity or intelligence test. The feeling states were assessed by means of a short version (BSK-1982) of the "Eigenschaftswörterliste" (Janke & Debus, 1978). The results confirm the compatibility thesis. Only the group in which a positive feeling state and a creative processing style interact reported a positive mood throughout the task completion. Unexpectedly, a slight deterioration of mood was found in the group with a neutral

  15. Managing the energy efficiency of a process sensor network

    Energy Technology Data Exchange (ETDEWEB)

    Karjalainen, S.; Karjalainen, T. (Univ. of Oulu, Measurement and Sensor Lab., Kajaani (Finland)). email: seppo.karjalainen@oulu.fi

    2009-07-01

    A wireless data transfer is nowadays quite easy and affordable to implement in most cases. If the wireless sensor network (Wsrn) is deployed in a very difficult environment or requires great data transfer speeds, as in many industrial and process environments, this might not always be the case. The main reason slowing the deployment of WSNs is the difficulty of supplying enough energy to the sensor nodes. In most cases all of the energy the node consumes must be stored or produced at the node. The difficulty of supplying enough energy for the nodes can shorten the maintenance interval of the nodes to an unpractical level. In this research project we study the possibilities of managing the energy efficiency (saving energy, producing energy) of a wireless process measurement system. The main focus areas of the project are saving and producing energy at the network nodes. Energy consumption is the main limitation while designing WSNs. To extend each sensor node's lifetime it is necessary to reduce power dissipation as much as possible. A sensor node is a complex device comprising of various parts, each of which must be carefully selected and utilized in order to reach the lowest possible energy consumption. The level of energy efficiency of a sensor network is greatly affected by the way we balance the goal of low energy consumption with the other requirements placed on the network. The requirements for a deployed WSN depend on the application and the operating environment. Hence, the generalization of the requirements in detail is not practical. Nonetheless sensor network applications possess several characteristics, based on which general requirements for the node platforms, protocols and applications can be defined. The relative importance of each requirement depends heavily on the application area. In this project we produce a report covering all the various aspects of managing the energy efficiency in a wireless sensor network. The physical components and

  16. Competing contact processes in the Watts-Strogatz network

    CERN Document Server

    Rybak, Marcin; Kułakowski, Krzysztof

    2014-01-01

    We investigate two competing contact processes on a set of Watts--Strogatz networks with the clustering coefficient tuned by rewiring. The base for network construction is one-dimensional chain of $N$ sites, where each site $i$ is directly linked to nodes labelled as $i\\pm 1$ and $i\\pm 2$. So initially, each node has the same degree $k_i=4$. The periodic boundary conditions are assumed as well. For each node $i$ the links to sites $i+1$ and $i+2$ are rewired to two randomly selected nodes so far not-connected to node $i$. An increase of the rewiring probability $q$ influences the nodes degree distribution and the network clusterization coefficient $\\mathcal{C}$. For given values of rewiring probability $q$ the set $\\mathcal{N}(q)=\\{\\mathcal{N}_1, \\mathcal{N}_2, \\cdots, \\mathcal{N}_M \\}$ of $M$ networks is generated. The network's nodes are decorated with spin-like variables $s_i\\in\\{S,D\\}$. During simulation each $S$ node having a $D$-site in its neighbourhood converts this neighbour from $D$ to $S$ state. Co...

  17. 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. PMID:25590997

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

    DEFF Research Database (Denmark)

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

    (RR), which enable us to identify clusters of inter-mobile categories. We apply the method to data of the labour market mobility in Denmark 2000-2007 and demonstrate how this new method can overcome some long standing obstacles to the advance of labour market segmentation theory: Instead 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....

  19. Analytical control of reducing agents on uranium/plutonium partitioning at purex process

    International Nuclear Information System (INIS)

    Spectrophotometric methods for uranium (IV), hydrazine (N2H4) and its decomposition product hydrazoic acid(HN3), and hydroxylamine (NH2 OH) determinations were developed aiming their applications for the process control of CELESTE I installation at IPEN/CNEN-SP. These compounds are normally present in the U/Pu partitioning phase of the spent nuclear treatment via PUREX process. The direct spectrophotometry was used for uranium (IV) analysis in nitric acid-hydrazine solutions based on the absorption measurement at 648 nm. The azomethine compound formed by reaction of hydrazine and p-dimethylamine benzaldehyde with maximum absorption at 457 nm was the basis for the specific analytical method for hydrazine determination. The hydrazoic acid analysis was performed indirectly by its conversion into ferric azide complex with maximum absorption at 465 nm. The hydroxylamine detection was accomplished based on its selective oxidation to nitrous acid which is easily analyzed by the reaction with Griess reagent. The resulted azocompound gas a maximum absorption at 520 nm. The sensibility of 1,4x10-6M for U(IV) with 0,8% of precision, 1,6x10-6M for hydrazine with 0,8% of precision, 2,3x10-6M hydrazoic acid with 0,9% of precision and 2,5x10-6M for hydroxylamine with 0,8% of precision were achieved. The interference studies have shown that each reducing agent can be determined in the presence of each other without any interference. Uranium(VI) and plutonium have also shown no interference in these analysis. The established methods were adapted to run inside glove-boxes by using an optical fiber colorimetry and applied to process control of the CELESTE I installation. The results pointed out that the methods are reliable and safety in order to provide just-in-time information about process conditions. (author)

  20. 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.

    2012-01-01

    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. PMID:22936519