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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Fábio A. Guerra Helon V. H. Ayala André E. Lazzaretti Marcio R. Sans Leandro S. Coelho Cesar A. Tacla Eletroelectronics Department (DPEE) Electrical System Division (DVSE) Centro Politécnico da UFPR LACTEC-Institute of Technology for Development Curitiba Parana Brazil Industrial and Systems Engineering Graduate Program (LAS/PPGEPS) Pontifical Catholic University of Paraná Curitiba Parana Brazil Graduate Program in Eletrical Engineering and Industrial Informatics (CPGEI) Federal University of Technology Parana Curitiba Parana Brazil

The identification of nonlinear systems with artificial neural networks models has been successfully used in many applications. Most processes in industry are characterized by nonlinear and time-varying behavior. In this context, the identification of mathematical models for nonlinear systems is vital in many fields of engineering. The Radial Basis Function Neural Network (RBF-NN) is a powerful approach for nonlinear identification and can be improved using Particle Swarm Optimization (PSO) approaches. This paper presents a multivariable nonlinear system identification using RBF-NN combined with standard PSO and Constriction Factor PSO (CFPSO) approaches in order to determine the RBF-NN parameters. RBF-NN is considered to be a good choice for black-box modeling problems due to its rapid learning capacity and, therefore, has been applied successfully to nonlinear time series modeling and nonlinear identification. On the other hand, PSO was inspired by the choreography of bird flocks and fish schools and can be seen as a distributed behavior algorithm that performs multidimensional search. Furthermore, promising simulation results from performance analysis of the proposed RBF-NN with PSO training approaches are presented and discussed in this paper showing promising results.

关键词： Artificial neural networks Boilers Neurons Modeling Power generation Optimization Nonlinear systems

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Empirical Studies on Application of Genetic Algorithms and Ant Colony Optimization for Data Clustering

Empirical Studies on Application of Genetic Algorithms and A...

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Computer Science Society (SCCC) International Conference Chilean FLAGGED

作者： Thelma Elita Colanzi Wesley Klewerton Guez Assunção Aurora Trinidad Ramirez Pozo Ana Cristina B. Kochem Vendramin Diogo Augusto Barros Pereira Computer Science Postgraduate Program Federal University of Paraná (UFPR) Curitiba Paraná Brazil Graduate School of Electrical Engineering and Computer Science (CPGEI) Federal Technological University of Paraná (UTFPR) Curitiba Paraná Brazil Informatics Department (DAINF)

Cluster analysis is used in several research areas to classify data sets in groups by their similar characteristics. Metaheuristic-based techniques, such as Genetic Algorithms (GAs) and Ant Colony Optimization (ACO), have been applied in order to increase the clustering algorithm performance. GA and ACO-based clustering algorithms are capable of efficiently and automatically forming natural groups from a pre-defined number of clusters. This paper presents a GA and an ACO algorithm to the clustering problem. Both algorithms were refined using local search in order to improve the clustering accuracy. The results are compared on numeric UCI databases.

关键词： Clustering algorithms Search problems Equations Mathematical model Gallium Genetic algorithms Memetics

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Enhanced Wireless Sensor Network setup strategy supported by intelligent software agents

Enhanced Wireless Sensor Network setup strategy supported by...

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IEEE SENSORS

作者： Edison Pignaton de Freitas Tales Heimfarth Ivayr Farah Netto Alex Guimarães Cardoso de Sá Carlos Eduardo Pereira Armando Morado Ferreira Flávio Rech Wagner Tony Larsson IDE Halmstad University Halmstad Sweden Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Federal University of Lavras Lavras Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

A well know problem in the Wireless Sensor Network (WSN) research area is the usage of appropriate strategies to setup the sensor nodes such that they may accomplish sensing missions. This problem refers to the selection of appropriate nodes to perform the different tasks required to the missions' accomplishment and may be thus characterized as an instance of the task and resource allocation problem. Traditional approaches consider pre-planned strategies, which are not flexible to deal with changes in the network and environment operating conditions. This paper presents an enhanced agent-oriented strategy, which consists of a usage of mobile intelligent agents to disseminate missions and nodes' information over the network, as well as stationary software agents installed in the sensor nodes to provide advanced reasoning apparatus for decision making purposes. The proposed enhancement complements the original agent-based approach with robustness features required to overcome extreme adverse conditions in which an ordinary WSN presents poor results. Results from simulations provide evidences of the efficiency of the complete enhanced approach.

关键词： Wireless sensor networks Software agents Temperature sensors Conferences Atmosphere Accuracy

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Metabolomics as molecular analysis tool in cell culture engineering

Metabolomics as molecular analysis tool in cell culture engi...

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作者： Vernardis, S.I. Chrysanthopoulos, P.K. Goudar, C.T. Klapa, M.I. Foundation for Research and Technology-Hellas Metabolic Engineering and Systems Biology Laboratory Institute of Chemical Engineering and High-Temperature Chemical Processes Patras GR- 265 04 Greece Cell Culture Development Global Biological Development Bayer HealthCare 800 Dwight Way Berkeley CA 94710 United States Interdepartmental Graduate Program in Informatics in Life Sciences Medical School University of Patras Greece Departments of Chemical and Biomolecular Engineering and Bioengineering University of Maryland College Park MD 20742 United States

ISBN: (纸本)9783902661708

So far, cell culture engineering has used the high-throughput transcriptional and more recently protein profiling techniques attempting to further understand and resolve significant issues regarding the cell culture performance and its optimization. At the metabolic level, flux analysis has been used to monitor changes in the metabolic state that could affect the successful outcome of cell cultures. Metabolomics, referring to the simultaneous quantification of the (relative) concentration of the free small metabolites, is the most recently introduced high-throughput method for the measurement of the metabolic fingerprint of a biological system. Considering the role of metabolism in the context of the overall cellular function, it is easily understandable why quantifying a complete and accurate metabolomic profile is foreseen to have a major positive impact in cell culture engineering research. We will present application of Gas Chromatorgaphy-Mass Spectrometry metabolomics to monitor and analyze mammalian cell culture systems. Specifically, two bioreactor processes will be discussed in which baby hamster kidney cells were cultivated in high-cell density perfusion reactors at both laboratory and manufacturing scales and samples were analyzed over the course of the cultivation. Metabolomics enabled the differentiation between cell cultures based on bioreactor type, and stage of cell growth. Multivariate statistical analysis enabled the identification of the metabolites whose change in concentration was characteristic of the modification in any of these macroscopic parameters. The acquired results support the usefulness of metabolomics as a molecular analysis tool in cell culture engineering. © 2010 IFAC.

关键词： Bioreactors

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UAV relay network to support WSN connectivity

UAV relay network to support WSN connectivity

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International Conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Edison Pignaton de Freitas Tales Heimfarth Ivayr Farah Netto Carlos Eduardo Lino Carlos Eduardo Pereira Armando Morado Ferreira Flávio Rech Wagner Tony Larsson IDE Halmstad University Halmstad Sweden Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Computer Science Department Federal University of Lavras Lavras Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

An important problem in Wireless Sensor Networks (WSN) is the occurrence of failures that lead to the disconnection of parts of the network, compromising the final results achieved by the WSN operation. A way to overcome such problem is to provide a reliable connection to support the connectivity via other types of nodes that communicate with the sensor nodes. This paper proposes the usage of a network composed by Unmanned Aerial Vehicles (UAVs) as a relay network to guarantee the delivery of data produced by WSN nodes on the ground to the users. Results from simulations of the proposed technique are provided and discussed.

关键词： Base stations Unmanned aerial vehicles Mobile communication Wireless sensor networks Peer to peer computing Mobile computing Relays

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Applying an event-based approach for detecting requirements interaction

Applying an event-based approach for detecting requirements ...

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ICEIS 2009 - 11th International Conference on Enterprise Information Systems

作者： Sarmiento, Edgar Borges, Marcos R. S. Campos, Maria Luiza M. Graduate Program in Informatics Federal University of Rio de Janeiro Brazil

ISBN: (纸本)9789898111845

At the software development cycle, it is in the requirements analysis phase that most of the problems that can compromise the delivery time and the development and maintenance costs must be identified and resolved. In general, the requirements obtained in this phase have different relationships with each other. Some of these relationships, commonly called negative interactions, make difficult or impossible the progress of some activities of the development process. The detection of interactions between requirements is an important activity that may prevent some of these problems and avoid their propagation throughout the remainder activities. Most of the existent research in this area only focuses on the requirements phase, mainly in the identification of conflict and/or inconsistency interactions. This paper presents a semi-formal event-based approach to model and identify the interactions between requirements, investigating the interactions that influence the other phases of the software development process.

关键词： Requirements engineering

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Metabolomics as molecular analysis tool in cell culture engineering

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IFAC Proceedings Volumes 2010年第6期43卷 491-495页

作者： S.I. Vernardis P.K. Chrysanthopoulos C.T. Goudar M.I. Klapa Metabolic Engineering and Systems Biology Laboratory Institute of Chemical Engineering and High-Temperature Chemical Processes Foundation for Research and Technology-Hellas Patras GR- 265 04 Greece Cell Culture Development Global Biological Development Bayer HealthCare 800 Dwight Way Berkeley CA 94710 Interdepartmental Graduate Program in “Informatics in Life Sciences” Medical School University of Patras Greece Departments of Chemical & Biomolecular Engineering and Bioengineering University of Maryland College Park MD 20742 USA

关键词： bioprocess development and optimization cell culture Gas Chromatography-Mass Spectrometry (GC-MS) high-cell density perfusion system high-throughput biomolecular analysis

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Towards the neuropsychological diagnosis of alzheimer's disease: A hybrid model in decision making

Towards the neuropsychological diagnosis of alzheimer's dise...

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作者： De Castro, Ana Karoline Araujo Pinheiro, Placido Rogerio Pinheiro, Mirian Caliope Dantas Graduate Program in Applied Informatics University of Fortaleza Av. Washington Soares 1321 - Bloco J CEP: 60811-905 Fortaleza Ceara Brazil

ISBN: (纸本)9783642047565

Dementias are syndromes described by a decline in memory and other neuropsychological changes especially occurring in the elderly and increasing exponentially in function of age. Due to this fact and the therapeutical limitations in the most advanced stage of the disease, diagnosis of Alzheimer's disease is extremely important and it can provide better life conditions to patients and their families. This work presents a hybrid model, combining Influence Diagrams and the Multicriteria Method, for aiding to discover, from a battery of tests, which are the most attractive questions, in relation to the stages of CDR (Clinical Dementia Rating) in decision making for the diagnosis of Alzheimer's disease. This disease is the most common dementia. Influence Diagram is implemented using GeNie tool. Next, the judgment matrixes are constructed to obtain cardinal value scales which are implemented through MACBETH Multicriteria Methodology. The modeling and evaluation processes were carried out through a battery of standardized assessments for the evaluation of cases with Alzheimer's disease developed by Consortium to Establish a Registry for Alzheimer's disease (CERAD). © 2009 Springer Berlin Heidelberg.

关键词： Diagnosis

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An Approach for the Neuropsychological Diagnosis of Alzheimer's Disease: A Hybrid Model in Decision Making

An Approach for the Neuropsychological Diagnosis of Alzheime...

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4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009

ISBN: (纸本)3642029612

This work presents a hybrid model, combining Influence Diagrams and the Multicriteria Method, for aiding to discover, from a battery of tests, which are the most attractive questions, in relation to the stages of Clinical Dementia Rating in decision making for the diagnosis of Alzheimer's disease. This disease is the most common dementia. Because of this and due to limitations in treatment at late stages of the disease early diagnosis is fundamental because it improves quality of life for patients and their families. Influence Diagram is implemented using GeNie tool. Next, the judgment matrixes are constructed to obtain cardinal value scales which are implemented through MACBETH Multicriteria Methodology. The modeling and evaluation processes were carried out through a battery of standardized assessments for the evaluation of cases with Alzheimer's disease developed by Consortium to Establish a Registry for Alzheimer's disease (CERAD). © 2009 Springer Berlin Heidelberg.

关键词： Bayesian networks

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Selecting prototypes for two multicriteria classification methods: A comparative study

Selecting prototypes for two multicriteria classification me...

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World Congress on Nature & Biologically Inspired Computing (NaBIC)

作者： Nathanael C. Costa Amaury T. Brasil Filho André L. V. Coelho Plácido R. Pinheiro Graduate Program in Applied Informatics University of Fortaleza-UNIFOR Brazil

In the last years, the area of Multicriteria Decision Analysis (MCDA) has brought about new methods to cope with classification problems, among which those based on the concept of prototypes. These refer to specific alternatives (samples) of the training dataset that are good representatives of the groups they fit in. In this paper, experiments are conducted over two prototype selection (PS) techniques employed to improve the accuracy of two prototype-based MCDA classification methods. The PS techiques investigated are based, respectively, on a customized genetic algorithm and on the Electre IV approach, whereas the MCDA classification methods studied comprise the one proposed by Goletsis et al. and the well-known PROAFTN method. The results achieved demonstrate that the classification methods are indeed very sensitive to the choice of prototypes and that the PS techniques investigated may be instrumental for leveraging their performance levels.

关键词： Prototypes Genetic algorithms Sorting informatics Instruments Pattern recognition Machine learning Delta modulation Engines Classification algorithms

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