Sheet1Title of the PaperAuthorsAbstractKeywordsPagesPaper NumberThe following papers belong to: WSEAS NNA-FSFS-EC 2003, May 29-31, 2003, Vouliagmeni, Athens, GreeceAssociative memories on BBS neural networks: a hardware-oriented learning algorithmRenzo Perfetti,Giovanni CostantiniIn this paper, we present a learning algorithm used to implement associative memories on BSB-type neural networks with bipolar states. Both learning and recall can be implemented by parallel computation, with time saving. The learning algorithm, used to sBSB Neural Networks, Associative Memories, Learning6454-109Multivariable Control of A HVAC System Using CBETDL (Context Based Emotional Temporal Difference Learning)Farzan Rashidi, Caro LucasIn this paper, we apply a modified version of Context Based Emotional Temporal Difference Learning (CBETDL) to heating, ventilating and air conditioning (HVAC) control problem whose multivariable, nonlinear and non minimum phase nature make the task veryHVAC-Emotional Learning-Context8454-184Neural network molecular classificationFrancisco TorrensA procedure is proposed for molecular classification. It uses a similarity matrix based on the graphs generated by each molecule. This procedure is applied to the classification of five aliphatic alcohols. The similarity index results from dividing this nMultilayer perceptron, Feedforward backpropagation, Cluster analysis, Split decomposition, Molecular classification6454-176Segmentation of Thai Handwritten Word using Heuristic Method Based on Distinctive FeaturesKantip Kiratiratanaphrug,Suwich Kunaruttanapruk,Rud Budsayaplakorn,Somchai JitapankulThis paper presents character segmentation scheme using heuristic method based on distinctive features. Heuristic method is used for classifying the line edge pattern of connected Thai characters. Moreover, this method is also used for reduction of procesSegmentation,Thai,Handwritten,Heuristic,Connected5454-118speed contro of switch reluctance motors using context based brain emotional learningFarzan Rashidi, Caro LucasIn this paper we apply a modified version of context based brain emotionallearning (CBBEL) to Switched Reluctance Motor (SRM). Our proposed solution, which is biologically motivated, can achieve very robust and satisfactory performance. The results show sSwitch Reluctance-Emotional Learning-Speed Control9454-183Multivariable Control of A HVAC System Using CBETDL (Context Based Emotional Temporal Difference Learning)Farzan Rashidi, Caro LucasIn this paper, we apply a modified version of Context Based Emotional Temporal Difference Learning (CBETDL) to heating, ventilating and air conditioning (HVAC) control problem whose multivariable, nonlinear and non minimum phase nature make the task veryHVAC-Emotional Learning-Context8454-184Multivariable Control of A HVAC System Using CBETDL (Context Based Emotional Temporal Difference Learning)Farzan Rashidi, Caro LucasIn this paper, we apply a modified version of Context Based Emotional Temporal Difference Learning (CBETDL) to heating, ventilating and air conditioning (HVAC) control problem whose multivariable, nonlinear and non minimum phase nature make the task veryHVAC-Emotional Learning-Context8454-185Multivariable Control of A HVAC System Using CBETDL (Context Based Emotional Temporal Difference Learning)Farzan_Rashidi, Caro LucasIn this paper, we apply a modified version of Context Based Emotional Temporal Difference Learning (CBETDL) to heating, ventilating and air conditioning (HVAC) control problem whose multivariable, nonlinear and non minimum phase nature make the task veryHVAC-Emotional Learning-Context8454-186Self-Organization Neural Networks In Prediction of the breakdown voltage in a Point BarrierPlane Air GapL. Mokhnache , A. BoubakeurThe paper presents the application of self-organization neural networks for the prediction of breakdown voltage in a point-barrier-plane air gap.self-organization Map, neural networks, breakdown voltage, point-barrier-plane air gap4454-187Application of chaotic time series for short-term load predictionA. Tsakoumis, P. Fessas, V. Mladenov, N. MastorakisThis paper describes a new approach to short-term load prediction in electric power systems. The approach is based on application of a chaotic time series and artificial neural network. The daily power system peak loads are described by chaotic time serieShort term load forecasting, Time series, Multiplayer perceptron (MLP), Chaos, Attractor, Lyapunov exponent7454-182speed contro of switch reluctance motors using context based brain emotional learningFarzan Rashidi, Caro LucasIn this paper we apply a modified version of context based brain emotionallearning (CBBEL) to Switched Reluctance Motor (SRM). Our proposed solution, which is biologically motivated, can achieve very robust and satisfactory performance. The results show sSwitch Reluctance-Emotional Learning-Speed Control9454-183Almost space-invariant cellular neural network for edge detectionGiovanni Costantini, Daniele Casali, and Renzo PerfettiA novel cellular neural network (CNN) for edge detection in grayscale intensity images is proposed. It is based on space-invariant templates, where only the sign of the input template is allowed to change from cell to cell. When compared with existing celCellular Neural Networks, Edge Detection, Image Processing4454-108the stability measures by some invariants of generalised petersen graphsPnar DundarAbstract:As a network begins losing nodes or links eventually there is a loss in its effectiveness. Thus, communication network must be constructed to be stable as possible ,not only with respect to the initial disruption, but also with respect to the posCombinatorial Optimisation, Graph Theory, Network Connectivity , Network Stability, Communication Networks.5454-175A Novel Neural Network Controller to Eliminate Buffer Overflow in Client/Server Based Internet ApplicationsWilfred Wan Kei Lin and Allan Kang Ying WongThe Internet can provide a powerful and yet economical network environment for information sharing and collaborative computation. Its unpredictable nature, however, has deterred its massive use as the platform for serious timely applications. Meanwhile itbuffer overflow, Internet, adaptive, Neural Network Controller, safety margin D9454-132Applications of Neuro-Fuzzy Methods for Improved Housing Value ForecastingIzabella Lokshina, Miroslav TrunecThe purpose of this study was to compare predictive performance of MRA, ANN, and ANFIS for residential housing sales at small to moderate data sample size; and to demonstrate the application of neuro-fuzzy approach for expressing the imprecision in the waPricing Model, Predictive Performance, Multiple Regression Analysis, Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System6454-133Principal Components Analysis Competitive LearningEzequiel Lpez-Rubio, Jos Muoz-Prez, Jos Antonio Gmez-RuizWe present a new neural model, which extends the classical competitive learning (CL) by performing a Principal Components Analysis (PCA) at each neuron. This model represents an improvement with respect to known local PCA methods, because it is not neededPrincipal Components Analysis (PCA), Competitive learning, Unsupervised learning, Dimensionality reduction, Multisensor image processing, Dimensionality estimation6454-134Calculation of Parameters of Low-pass Ladder Networks with Mixed Lumped and Distributed Elements by Means of Artificial Neural NetworksMetin engl,Atilla zmen,Melek YlmazIn this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given. The results of ANN are compared with the values that are desired. It has been observed that thLumped and distributed elements, artificial neural networks, back propagation5454-124Multilayer Perceptron Trained by the Backpropagation AlgorithmSerban RaduThe backpropagation algorithm can be used to train multilayer networks. Backpropagation is an approximate steepest descent algorithm, in which the performance index is the mean square error. It is realized of a two layer perceptron to approximate any funcBackpropagation, Perceptron, Training set, Weights, Biases, Learning Rate3454-144an application of ordered fuzzy artmap neural network in online short term load forecastingShahram Javadi, Hossein ShourestaniThis paper presents the application of a new version of Fuzzy ARTMAP neural network named ordered fuzzy artmap for evaluating on-line short term load forecasting. Fuzzy ARTMAP can operate in off-line or on-line modes. In the on-line mode, the network mustPower Systems, Load Forecasting, Short Term, Ordered Fuzzy ARTMAP, Neural network6454-145Calculation of Parameters of Low-pass Ladder Networks with Mixed Lumped and Distributed Elements by Means of Artificial Neural NetworksMetin engl,Atilla zmen,Melek YlmazIn this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given. The results of ANN are compared with the values that are desired. It has been observed that thLumped and distributed elements, artificial neural networks, back propagation5454-123A speed controller for a pv-supplied dc motor drives using universal learning networksAhmed Hussein, Kotaro Hirasawa, Jinglu Hu, Junichi MurataThis paper introduces two Universal Learning Networks (ULNs) based speed control system for a DC motor drive. The Universal Learning Network Identifier (ULNI) is trained off-line using the forward propagation algorithm to emulate the dynamic behavior of aUniversal Learning Networks; Neural Networks; DC Motors; PV Generators; Power Converters6454-114Calculation of Parameters of Low-pass Ladder Networks with Mixed Lumped and Distributed Elements by Means of Artificial Neural NetworksMetin Sengul, Atilla Ozmen, Melek YilmazIn this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given. The results of ANN are compared with the values that are desired. It has been observed that thLumped and distributed elements, artificial neural networks, back propagation5454-143Adaptable Connectionist Based Framework for Intrusion DetectionMelanie MiddlemissAs reliance on computers and networks increases, so does the need to provide appropriate security measures. One component of network security is the use of intrusion detection systems. These systems monitor the network in order to detect misuse or anomaloIntrusion detection, Misuse detection, Anomaly detection, Evolving connectionist systems6454-158RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures.Raul C. MuresanRetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes advantage of the retinotopic arrangement in the receptive fields. The dynamics ofNeural simulator; Retinotopy; Receptive fields; Event-driven; Spikes6454-122Building lithologic facies using a non supervised neural methodSalim ChikhiThis paper presents a non supervised neural method in order to construct the lithologic facies of the wells RHA6 and RHA8 situated in the south of Algeria (Sahara). Our objective is to facilitate the expert work in geological domain and to permit them toLithologic facies, Well log's data, Non supervised neural method, Self organised map, Classification4454-120Neural network molecular classificationFrancisco TorrensA procedure is proposed for molecular classification. It uses a similarity matrix based on the graphs generated by each molecule. This procedure is applied to the classification of five aliphatic alcohols. The similarity index results from dividing thisMultilayer perceptron, Feedforward backpropagation, Cluster analysis, Split decomposition, Molecular classification6454-149Optimizing the Learning of Binary MappingsJohn A. BullinariaWhen training simple sigmoidal feed-forward neural networks on binary mappings using gradient descent algorithms with a sum-squared-error cost function, the learning algorithm often gets stuck with some outputs totally wrong. This is because the weight uLearning, Gradient descent, Evolution, Binary mappings, Sigmoid prime offsets, Target offsets.6454-151Influence of activation function for quality of ships motion modelling using artificial neural networksZygmunt Kitowski, Bogdan ZakIn the paper using of the artificial neural networks for determination of coefficients of state equations of ships motion in a horizontal plane and influence of neurons activation function for quality of ships motion modelling is presented. The recurreShip, Neural networks, Modelling, Identification.6454-152Neuro-Fuzzy Approaches for Identification and Control of Nonlinear SystemsAssociate Proffessor Dr. Anuar AhmadNeural Networks and Fuzzy Inference Systems are becoming well-recognized tools of designing a controller capable of perceiving the operating environment and imitating a human operator with high performance. The motivation behind the use of neuro-fuzzy appArtificial Neural Networks, Fuzzy Inference Systems and Neuro-fuzzy Control Architectures8454-101Application of chaotic time series for short-term load predictionA. Tsakoumis, P. Fessas, V. Mladenov, N. MastorakisThis paper describes a new approach to short-term load prediction in electric power systems. The approach is based on application of a chaotic time series and artificial neural network. The daily power system peak loads are described by chaotic time serieShort term load forecasting, Time series, Multiplayer perceptron (MLP), Chaos, Attractor, Lyapunov exponent7454-182Calculation of Parameters of Low-pass Ladder Networks with Mixed Lumped and Distributed Elements by Means of Artificial Neural NetworksMetin Sengul, Atilla Ozmen, Melek YilmazIn this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given. The results of ANN are compared with the values that are desired. It has been observed that thLumped and distributed elements, artificial neural networks, back propagation5454-142Analysis of Neural Network Edge DetectionM. I. Rajab and M. S. WoolfsonAbstract. This paper presents a new method to analyse neural networks so as to achieve close into their internal functionality. To this purpose, a new training sets consisting of a limited number of noisy edge patterns is proposed to analyse the problem oEdge detection, additive noise, generalization, neural networks, digital image processing.8454-222Effective surveillance image analysis using combination of linear regression and modified probabilistic neural networkTony Jan, Massimo Piccardi, Thomas HintzIn this paper, a hybrid model is introduced which combines a linear regression model in parallel with a nonlinear regression model such as the Modified Probabilistic Neural Network (MPNN). In this hybrid model, the linear regression model provides a reasoImage modeling, Artificial neural network, statistical image modeling, hyperspace modeling5454-225Effective surveillance image analysis using combination of linear regression and modified probabilistic neural networkTony JanIn this paper, a hybrid model is introduced which combines a linear regression model in parallel with a nonlinear regression model such as the Modified Probabilistic Neural Network (MPNN). In this hybrid model, the linear regression model provides a reasoImage modeling, Artificial neural network, statistical image modeling, hyperspace modeling5454-226Effective surveillance image analysis using combination of linear regression and modified probabilistic neural networkTony JanIn this paper, a hybrid model is introduced which combines a linear regression model in parallel with a nonlinear regression model such as the Modified Probabilistic Neural Network (MPNN). In this hybrid model, the linear regression model provides a reasoImage modeling, Artificial neural network, statistical image modeling, hyperspace modeling5454-227Multivariable Control of A HVAC System Using CBETDL (Context Based Emotional Temporal Difference Learning)Farzan Rashidi, Caro LucasIn this paper, we apply a modified version of Context Based Emotional Temporal Difference Learning (CBETDL) to heating, ventilating and air conditioning (HVAC) control problem whose multivariable, nonlinear and non minimum phase nature make the task veryHVAC-Emotional Learning-Context8454-185Modelling User NavigationCorina Sas, Ronan Reilly, Gregory O'Hare, Ioana MarianThis paper proposes the use of neural networks as a tool for studying navigation within virtual worlds. Results indicate that the network learned to predict the next step for a given trajectory. The analysis of hidden layer shows that the network was ableNeural network, Spatial cognition, Virtual environment7454-228Visual Scale Independence in a Network of Spiking NeuronsRaul MuresanThe scale independence in visual recognition tasks is still one big problem in neurocomputing today. This paper presents a method of obtaining scale independence in a purely feed-forward way, being able to account for ultra-rapid visual categorization. IScale independence; Rank order coding; Feed-forward; Receptive field;5454-102Face Recognition Using Neural NetworksA. KhashmanThe human ability to recognize objects; even by observing their crude outlines or edges, has not so far been matched by intelligent machines. The superiority of human perception is even more evident when it comes to recognizing faces. Face recognition hasKeywords: Image Processing, Segmentation, Face Recognition, Neural Networks, Back Propagation Model.6454-23228FemaleCOGS, University of Sussex, Brighton BN1 9QH, UKUNITED KINGDOMArchitectures and Techniques for Monolingual and Multilingual Information Retrieval Systems in a SOM FrameworkIoannis Triantafyllou, George CarayannisThe most important issue in Information Retrieval systems is the representation of the information that the documents and/or queries withhold. A new architecture for classification systems is introduced trying to improve the discrimination capacity of theInformation Retrieval, Classification, Self-Organizing Maps, Alignment, Name Entities9454-214Automated Visual Surveillance using Artificial Neural Network ClassifiersTony Jan, Massimo Piccardi, Thomas HintzIn visual surveillance applications, automated detection of suspicious user behavior is of great practical interest. Correct detection of suspicious human behavior is usually difficult due to randomness in human movements. In this paper Neural Network (NNArtificial neural network, Modified Probabilistic Neural Network, Automated visual surveillance, Human activity recognition, Clustering, Self organising map5454-224an integrated approach for the prediction of tropical cyclone and weather forecastJames Liu Raymond Kwong Meng Wang Danny Sin Lakhmi JainThis study introduces a new approach on automatic tropical cyclone (TC) detection in satellite images. Traditional TC identification is highly dependent on human subjective justification on vast supply of information. In the proposed system, it automatesTropical cyclone identification Wavelet analysis Neural ntwork Genetic algorithm Image acquisition system Signal processing Weather forecast8454-213Self-Organization Neural Networks In Prediction of the breakdown voltage in a Point BarrierPlane Air GapL. Mokhnache, A. BoubakeuThe paper presents the application of self-organization neural networks for the prediction of breakdown voltage in a point-barrier-plane air gap.neural networks, self-organization map, breakdown voltage prediction, poit-barrier-plane4454-211Visual Scale Independence in a Network of Spiking NeuronsRaul MuresanThe scale independence in visual recognition tasks is still one big problem in neurocomputing today. This paper presents a method of obtaining scale independence in a purely feed-forward way, being able to account for ultra-rapid visual categorization. IScale independence; Rank order coding; Feed-forward; Receptive field;5454-103Multivariable Control of A HVAC System Using CBETDL (Context Based Emotional Temporal Difference Learning)Farzan_Rashidi, Caro LucasIn this paper, we apply a modified version of Context Based Emotional Temporal Difference Learning (CBETDL) to heating, ventilating and air conditioning (HVAC) control problem whose multivariable, nonlinear and non minimum phase nature make the task veryHVAC-Emotional Learning-Context8454-186Self-Organization Neural Networks In Prediction of the breakdown voltage in a Point BarrierPlane Air GapL. Mokhnache , A. BoubakeurThe paper presents the application of self-organization neural networks for the prediction of breakdown voltage in a point-barrier-plane air gap.self-organization Map, neural networks, breakdown voltage, point-barrier-plane air gap4454-187technical drawing treatment for video presentationE. Chiarantoni, V. Di Lecce, A. Guerriero, S. ImpedovoAbstract: - A general-purpose procedure for scaling engineering drawings, suitable for video and fixed-grid low-resolution presentation media, is described in this paper. The proposed method is based on the separate processing of scaleable (layout) and noDrawing, Wavelet, Neural, Symbol, Clustering6454-208Robustness Analysis of a Cellular Associative Memory for Sinusoidal Signal RecognitionLeonarda Carnimeo, Antonio GiaquintoIn this paper, a Cellular Neural Network for an Associative Memory able to detect discrete-time sinusoidal signals is designed by considering a consolidated synthesis technique. An effective robustness analysis of the synthesized cellular associative memoCellular Neural Networks, Signal Recognition, Associative Memories3454-233Multi-agent interaction of complex systems in restricted resources environmentA. Prykarpatsky, V. GafiychukHow natural systems function and organize themselves is a very attractive and challenging problem. This problem is extremely complex studying living organisms involving a great number of biomacromolecules and cells performing a very specific role in organadaptive systems, neural flows, Lyapunov function, Gradient flow8454-207Robustness Analysis of a Cellular Associative Memory for Sinusoidal Signal RecognitionLeonarda Carnimeo, Antonio GiaquintoIn this paper, a Cellular Neural Network for an Associative Memory able to detect discrete-time sinusoidal signals is designed by considering a consolidated synthesis technique. An effective robustness analysis of the synthesized cellular associative memoCellular Neural Networks, Signal Recognition, Associative Memories3454-234Classification Methods using Neural Networks and Partial Precedence Algorithms for Differential Medical Diagnosis: A Case StudyAngel Fernando Kuri-Morales, Martha R. Ortiz-PosadasThe problem of correctly diagnosing different types of ailments has been tackled with different artificial intelligence techniques since its inception. Both heuristic and statistically based algorithms have been discussed in the past. In this paper we estPattern recognition, majority decision, neural networks, multi-layer perceptrons, self-organizing maps.6454-105Visual Scale Independence in a Network of Spiking NeuronsRaul MuresanThe scale independence in visual recognition tasks is still one big problem in neurocomputing today. This paper presents a method of obtaining scale independence in a purely feed-forward way, being able to account for ultra-rapid visual categorization. IScale independence; Rank order coding; Feed-forward; Receptive field5454-104the online learning of a hybrid fuzzy controllerShiming Wang, Hongshe Jia, Tianshi LiIn this paper, the physical model of semi-active quarter-coach suspension was established based on the theories of resemble and model testing. According to the characteristics of time-varying of parameters and time-delay of the semi-active suspension, OnPhysical model,, Fuzzy, GA, EA, Judger, Experiment7454-129Fuzzy average to estimate a situation of a complex system of biodisponibilityRegina Lanzillotti, Hayde Lanzillotti, Monica BorgesAbstract The objective at this paper was to delineate a diagnosis system that translates the interactive effect of the calcium and the ascorbic acid intake on non-heme iron absorption from the meals. It was used the fuzzy arithmetic mean, an extension ofNon-heme iron availability, Calcium, Ascorbic acid, Fuzzy sets5454-131A Dynamic Scalar-Tuning Fuzzy Control System DesignHsuan-Ming Feng and Ching-Chang WongA dynamic scalar-tuning fuzzy control system is proposed. A fuzzy control system with two-input and one-output variables is considered to directly control the plant, and a dynamic scalar-tuning mechanism through a fuzzy inference method is proposed to updFuzzy system; Scaling factor; Genetic Algorithms.7454-141Introduction in Artificial System IntuitionLeonid M. PolyakovAbstract: We have entered the era of artificial intelligence (AI) revolution (L. A. Zadeh) but still dont know what it is exactly. We try to measure the AI value, but dont know what and how to measure. Intelligence is a fuzzy term. It is natural to starKey-Words: artificial intelligence, natural intelligence, fuzziness, definition and knowledge.5454-138Designing of fuzzy tracking autopilot for underwater robotic vehicle using genetic algorithmsJerzy Garus, Zygmunt KitowskiIn the paper applying of genetic algorithms to designing of a fuzzy autopilot for track-keeping control of underwater vehicles is considered. For the tracking of desired trajectory, the way-point line of sight scheme is incorporated and three independentUnderwater vehicle, Autopilot, Fuzzy logic, Genetic algorithms, Track-keeping control5454-146Introduction in Artificial System IntuitionLeonid M. PolyakovAbstract: We have entered the era of artificial intelligence (AI) revolution (L. A. Zadeh) but still dont know what it is exactly. We try to measure the AI value, but dont know what and how to measure. Intelligence is a fuzzy term. It is natural to starKey-Words: artificial intelligence, natural intelligence, fuzziness, definition and knowledge.5454-137Design of Anfis networks using hybrid genetic and svd methods for modelling of explosive cutting processA Darvizeh, N Nariman-zadeh, M Dadfarmi:- Genetic Algorithm (GA) and Singular Value Decomposition (SVD) are deployed for optimal design of both Gaussian membership functions of antecedents and vector of linear coefficients of consequents, respectively, of ANFIS networks which are used for modeAnfis, Explosive Cutting Process, Genetic Algorithms, SVD6454-125Introduction in Artificial System IntuitionLeonid M. PolyakovAbstract: - Does the artificial system have intuition? Is it possible to create an artificial system with intuition? What is intuition? Different authors give different answers. This article is a preliminary approach to the problem of the natural intuitKey-Words: - artificial intelligence association, intuition, intuitive knowledge, motivation, and5454-135Introduction in Artificial System IntuitionLeonid M. PolyakovAbstract: - Does the artificial system have intuition? Is it possible to create an artificial system with intuition? What is intuition? Different authors give different answers. This article is a preliminary approach to the problem of the natural intuitKey-Words: - artificial intelligence association, intuition, intuitive knowledge, motivation, and5454-136Fuzzy Set Theory and Spatial Analyses Techniques for Poverty Mapping and Decision Making SupportMargareth Simes Penello Meirelles and Oswaldo Luiz Humbert FonsecaThe aim of this work is to suggest a fuzzy approach for poverty studies and apply this methodology, based on Fuzzy Poverty Index, to calculate those indexes for each municipality of Rio de Janeiro State (Brazil). Also apply several methods of spatial analFuzzy sets, Poverty, Spatial analysis9454-229A Dynamic Scalar-Tuning Fuzzy Control System DesignHsuan-Ming Feng and Ching-Chang WongA dynamic scalar-tuning fuzzy control system is proposed. A fuzzy control system with two-input and one-output variables is considered to directly control the plant, and a dynamic scalar-tuning mechanism through a fuzzy inference method is proposed to updFuzzy system; Scaling factor; Genetic Algorithms7454-116Multi Objective Emotional Learning Based Fuzzy Inference SystemAli Abbaspour, Ali Gholipour, Caro Lucas, Babak N. Araabi, Mehrdad FatourechiAbstract: - Bounded rationality and satisficing models have shown good performance in reflection of uncertainties and complexities in real world problems of decision making and control. The emotional learning algorithm is such an appropriate method in mulEmotional Learning, Prediction, Decision Making, Portfolio Selection, Takagi Sugeno FIS, ELFIS9454-210comparison of three adaptive neuro-fuzzy architectures in modeling a water gas heater: input clustering data and input variables selectionJose Vieira and Alexandre MotaThis paper present the comparison of three Neuro-Fuzzy architectures applied for modeling a non-linear real system: Adaptive Neuro Fuzzy Inference System, Artificial Neural Networks Based Fuzzy Inference System and Babuska Neuro Fuzzy Modeling and IdentifFuzzy Hybrid Systems, Neuro-Fuzzy Modeling Identification, Fuzzy Clustering, Variable Selection, Non-linear Modeling, Time-Delay Systems6454-167Fuzzy identifiability, controllability and observabilityAndrzej Swierniak, Adam GaluszkaNotions of identifiability, controllability and stabilizability play crucial roles in the problems of systems analysis and design. The situation complicates if these concepts should be applied in real world when a system designer is always confronted witFuzzy systems analysis, Identifiability, Stabilizability, Controllability, Reachability4454-119optimal design of anfis networks using genetic algorithm and svd for the modelling of natural frequencies of orthotropic cylindrical shellsNader Nariman-zadeh, M. Darvizeh, M. Barati, C.B. Sharma:- In this paper, a hybrid approach using Genetic Algorithm (GA) and Singular Value Decomposition (SVD) is proposed for optimal fuzzy rules selection and also optimal design of both Gaussian membership functions of antecedents and vector of linear coefficAnfis, Genetic Algorithms, SVD, shells, orthotropic6454-206measreuemt-to-track association using fuzzy logic compared to the chi-squared metricStephen C StubberudThe concept of target tracking, a part of Level 1 data fusion, is to combine measures from various sensors to form a coherent picture of the scene. One of the major concerns with this problem is the association of the various measurements with the existiFuzzy logic, Data fusion, Data association, Chi-squared metric, Target tracking6454-106Applications of Neuro-Fuzzy Methods for Improved Housing Value ForecastingIzabella Lokshina, Miroslav TrunecAbstract: The purpose of this study was to compare predictive performance of MRA, ANN, and ANFIS models for residential housing sales at small to moderate data sample size; and to demonstrate the application of neuro-fuzzy approach for expressing the imprKey-Words: Pricing Model, Predictive Performance, Multiple Regression Analysis, Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System.6454-115A Fuzzy Model for an Automotive Engines-Development on a Production VehicleAlaa F. Sheta and Janos GertlerIn this paper, we developed a fuzzy model for an automotive engine. The fuzzy model presented by a set of rules based on the Takagi-Sugeno type. The Gustafson-Kessel (GK) algorithm applied to determine the antecedent membership functions and east-square eFuzzy Logic, System Identification, Modeling, Industrial Processes, Nonlinear Systems9454-164A Dynamic Scalar-Tuning Fuzzy Control System DesignHsuan-Ming Feng and Ching-Chang WongA dynamic scalar-tuning fuzzy control system is proposed. A fuzzy control system with two-input and one-output variables is considered to directly control the plant, and a dynamic scalar-tuning mechanism through a fuzzy inference method is proposed to updFuzzy system; Scaling factor; Genetic Algorithms7454-117Mamdani type fuzzy controllers for the stabilization of linear systemsAnis Sakly, Kamel Ben Othman and Mohamed BenrejebThe purpose of this paper is to establish sufficient conditions for the global asymptotic stabilization of linear time-invariant SISO systems by means of Mamdani type fuzzy logic controllers in the continuous and the discrete cases. The fuzzy controllersMamdani type fuzzy logic controllers, linear SISO systems, global asymptotic stability, circle criterion7454-219measreuemt-to-track association using fuzzy logic compared to the chi-squared metricStephen C StubberudThe concept of target tracking, a part of Level 1 data fusion, is to combine measures from various sensors to form a coherent picture of the scene. One of the major concerns with this problem is the association of the various measurements with the existiFuzzy logic, Data fusion, Data association, Chi-squared metric, Target tracking6454-107Improving Ranking of the PLIR System By Local And Global ApproachesElham Ashoori, Farhad Orumchian, Babak Nadjar AraabiThe PLIR system is an experimental high precision retrieval system based on the theory of the plausible reasoning of Collins and Michalsky. The PLIR system retrieves documents through plausible inferences. These inferences could be considered as sources oPlausible Reasoning, Dempster-Shafer Theory of Evidence, Plausible Inferences, Information Retrieval and High Precision Information Retrieval9454-221Using Plausible Reasoning for Implementing Intelligent Tutoring SystemsBita Khandzad, Farhad OroumchianMany computer aided instruction systems present instruction linearly, and do not distinguish among different categories of the students. Students in these systems have little control over the curriculum to adjust them to their individual needs. These systInteractive Tutoring System, Intelligent Tutoring System, Plausible Reasoning, Uncertain Decision-making8454-202Simulation of fractal hybrid orbitals for proteinsFrancisco TorrensThe structure and shape of the polypeptide chain of proteins are determined by the hybridized states of atomic orbitals in the molecular chain. The calculated s ratio in the sp^n hybrid orbitals is computed from the fractal dimension D of the tertiary strFractal hybrid orbital, Fractal dimension, Fractal theory, Protein conformation, Structural class, Gaussian chain6454-150a new parent selection method based on real-life family situation for genetic algorithmAngus Wu and L. F. YeungIn real-life situation, fruitful and joyful marriage often occur between two individuals of similar status in the society such as maturity, status in the society and neighboring localities. Similar principle can be applied in selecting the parents for repGenetic Algorithm, Selection Operators, Genetic Recombination, and Correlation5454-155Controllability of nonlinear systemsKlamkaIn the paper nonlinear discrete-time control systems are considered. Using methods taken from functional analysis sufficient conditions for local controllability are formulated and proved. Moreover, several remarks and comments concerning controllabilityDiascrete-time systems, nonlinear systems, algebraic methods, controllability, infinite-dimensional systems,4454-126Constrained controllability of distributed parameter systemsKlamka JerzyIn the paper distributed parameter systems are considered. Using methods taken from functional analysis necessary and sufficient conditions for approximate controllability are formulated and proved. Moreover, several remarks and comments concerning controInfinite-dimensional systems, distributed parameter systems, controllability, rank conditions, eigenfunctions computations.4454-127Application of genetic algorithms to ground probing radar dataSaid ElkhetaliAbstract:- Velocity of propagation into earth layers and the depth of interfaces between them are determined from ground probing radar using genetic algorithms. The method is novel and robust. It can tolerate errors and uncertainties in the delay times obGenetic algorithms, ground prbing radar, GPR, radar processing5454-121A multi-level approach using a diversified Genetic Algorithm for solving partitioning problem in codesignMouloud Koudil, Karima Benatchba, Daniel DoursPartitioning problem in codesign is of great importance since it can widely influence the characteristics of the system under design. The numerous constraints imposed by the environment and/or the underlying target architecture, in addition to its NP-CompOptimization, Codesign, Partitioning, Genetic Algorithms6454-216computing fuzzy -testors using a genetic algorithmJos ngel Santos-Gordillo, Jess Ariel Carrasco-Ochoa, Jos Francisco Martnez-TrinidadThe computation of fuzzy -testors is an exponential complexity process, the unique available algorithm consists in verifying the definition on all the feature subsets. Since it does not exist an algorithm to compute fuzzy -testors in this paper a genetiGenetic algorithms, Fuzzy -testors, Feature selection5454-179combining evolutionary techniques to improve alvot efficiencyJess-Ariel Carrasco-Ochoa, Jos-Francisco Martnez-TrinidadIn this paper, a new method based on a combination of evolutionary techniques, which allows improving efficiency of the supervised classification model ALVOT, is presented. In order to get a better efficiency at ALVOT classification stage it is necessaryGenetic algorithms, Evolutionary strategies, Feature selection, Sample reduction6454-180Transparent and Automatic SLA Management in Proactive Networks: Closed Loop re-ConfigurationMAURIZIO DARIENZO, ANTONIO PESCAPE', GIORGIO VENTRENowadays new services and new network architectures require definite contracts between users and TC (Telecom Operator) or ISP (Internet Service Provider). These contracts, known as SLA (Service Level Agreement), rely on capabilities of new networks (PIP,Innovative network paradigms, Automatic Resource Management, Closed Loop Negotiation, Elastic Network.6454-203Knowledge and skills in information technology infrastructure developmentSeppo SirkemaaInformation technology infrastructure is the basis for information systems used in business processes in a company. Therefore it is expected to be robust and operate smoothly without interruptions. Here we look at the skills and knowledge that are neededInformation technology infrastructure, Development, Skills, Knowledge7454-204Recurrence Plot Analysis of Internet TrafficFrancesco Palmieri, Ugo FioreA broad class of natural and man-made systems exhibit complicated behavior that is produced by nonlinearity in the dynamics. Trying to understand those dynamics is difficult because, typically, a time series is all that is available to the analyst. TheInternet traffic modeling, nonlinear dynamics, recurrence quantification analysis6454-205Optimized MAP turbo decoder for 3rd generation W-CDMA systemsMaryam Mizani, Abdolreza NabaviTurbo codes have become part of the third generation W-CDMA systems because of their extraordinary coding performance. However, decoder implementation in commercial systems suffers from power, latency and complexity limitations. Here, we address new optimTurbo decoder, MAP algorithm, Low power, Interleaver, SISO, ACS5454-209Specific Evolutionary Algorithms for Permutation ProblemsFrank Neumann, Friedemann SimonIn this paper we investigate the behaviour of specific evolutionary algorithms on permutation problems. We show difficult instances of the traveling salesman problem and present a new very fast evolutionary algorithm for noncircular permutation problems.Evolutionary algorithms, Permutation problems, Global optimization, Operational research, Traveling salesman problem, Single-machine total weighted tardiness problem6454-153Application of Satisfiability algorithms to data-mining problemsKarima BENATCHBA, Lotfi ADMANE, Mouloud KOUDILData-mining is a constantly growing area. More and more domains of the daily life take advantage of the available tools (medicine, trade, meteorology). However, such tools are confronted to a particular problem: the great number of characteristics that q-mining, Satisfiability, Optimization, Genetic Algorithms, Ant Colony Systems.6454-215Lagrange Multipliers and Other Sensitivity Indices Applied to Voltage Collapse AnalysisLeonardo M. Honrio, A . C. Zambroni de Souza, Geraldo L. TorresThis paper deals with the problem of chose local control actions in power systems. The planning scenario is considered, and the aim of the study is to determine the most effective actions to lead the system to a better operating point. The tool of analysioptimization techniques, lagrange multipliers, tangent vector8454-168From UML to OF-Class towards formal specificationThouraya Bouabana-Tebibel and Mounira BelmeskUML, emerging as the industry standard for object-oriented modeling, it needs a well-defined semantic base to support formal verification and validation tasks. Our aim beeing to give system designers a life cycle of software development as complete as posObject oriented modeling language (UML), Formal language (OF-Class), Verification and validation, Reactive system, Class diagram, Object diagram, Activity diagram.6454-217A Hybrid MAX-MIN Ant System to MRF-based Image SegmentationOuadfel Salima ,Batouche MohamedIn this paper, we present a novel approach for unsupervised image segmentation based on the Markov Random Field (MRF) and the Ant Colony Optimization (ACO) metaheuristic. MRF provides a convenient tool for modeling prior distributions of image, which encoImage, Segmentation, MRF, Ant Colony Optimization, Max-Min Ant System, Local search.9454-218Criteria for Evaluation of Medical Websites on the InternetGeorge Anastassopoulos, Dimitrios Mantzaris, Ioannis StephanakisA new set of criteria for evaluation of medical websites on the Internet is proposed in this paper. These criteria are classified into two main categories: content and design criteria. They were used by expert urologists and engineers in order to evaluateInternet, Medical Websites, Medical WebPages, Evaluation Criteria, Quality Control6454-220A Hybrid MAX-MIN Ant System to MRF-based Image SegmentationOuadfel Salima ,Batouche MohamedAbstract: In this paper, we present a novel approach for unsupervised image segmentation based on the Markov Random Field (MRF) and the Ant Colony Optimization (ACO) metaheuristic. MRF provides a convenient tool for modeling prior distributions of image,Key-Words: Image, Segmentation, MRF, Ant Colony Optimization, Max-Min Ant System, Local search.8454-223Microstructure Characteristics of ZnO Varistors Simulated by Voronoi NetworkS. W. Han and H. G. ChoVoronoi network is used to simulate the microstructures of ZnO varistors, grains are represented by space-filling Voronoi polygons of different sizes and shapes with a variable number of neighbors. The geometry and topology of Voronoi networks closely resZnO Varistor, Voronoi Network, Simulation, Chaotic Property4454-230An adapted Genetic Algorithms for solving Max-Sat problemsKarima Benatchba, Mouloud Koudil, Habiba Drias, Rahim BelkacemTo solve NP-complete problems such as Max-Sat, different approaches exist in the literature, each one presenting advantages and weaknesses. In this paper, we present an adapted genetic algorithm (AGA) for one of the most important theoretical problem: MaxOptimization, Satisfiability, Maximum Satisfiability, Genetic Algorithms, Scatter Search5454-231Producing A Better Solution From Bad Chromosomes For VLSI Test Pattern GenerationL. Kalyan KumarThis paper introduces a novel operator to produce the better solutions from bad solutions to improve the efficiency of the ATPG by reducing the total number of test patters in VLSI test applications. This operator is proven to be generic when the fitnessGenetic algorithms, ATPG, Mutation, Crossover, Selection5454-235Robust Relay and PD-Sliding Mode Controllers Design Methods for Robot Position Systems with Parameter PerturbationsM. N. A. Parlakci, E. M. Jafarov, Y. IstefanopulosThis paper introduces three new position variable structure controllers design methods for robot position systems with parameter perturbations. The first method considers a relay type discontinuous sliding mode controller which employs well-known equivaleSliding mode conditions, relay control, PD-controller, equivalent control, Lyapunov full quadratic form, robot position control, parametric perturbations, stability conditions.9454-212experimental design theory for multiparent recombinationAngus Wu and L. F. YeungIn this paper, a new recombination method is proposed for multiparent recombination of genetic algorithm by using the approach of experimental design. The proposed approach applies the search techniques of experimental design to explore the solution spaceExperimental Design, Orthogonal Latin Square, Multiparent Recombination5454-156An Improved Genetic Algorithm for Multiprocessor Task Scheduling with Non-Negligible Inter-processor Communication DelayJessica Yantachka Frank Moore Gregory Kramer Michael Bohler Yi PanEfficient multiprocessor task scheduling is a long-studied and difficult problem that continues to be a topic of considerable research. This NP-hard problem was traditionally solved using a combination of search techniques and heuristics. These solutionsGenetic Algorithm Multi-processor Task Scheduling Inter-processor Delay8454-130A Comparative Study Using Genetic Algorithms to Deal with Dynamic EnvironmentsAnabela Simes, Ernesto CostaOne of the approaches used in Evolutionary Algorithms (EAs) for problems in which the environment changes from time to time is to use techniques that preserve the diversity in population. We have tested and compared several algorithms that try to keep theDynamic environments, Genetic operators, Hypermutation, Random immigrants, Diversity, Memory, Genetic algorithms6454-139hierarchical co-evolution for non-routine designM A Rosenman and R SaundersThis paper presents an evolutionary model for non-routine designing based on hierarchical co-evolution. It examines some of the ways that design knowledge required by evolutionary processes have been approached to date. It then discusses how the hierarchiEvolutionary design, Hierarchical co-evolution, Non-routine design6454-140Watch thy neighbor or how the swarm can learn from its environmentRui Mendes James Kennedy Jos NevesParticle Swarm Optimization is a novel algorithm where a population of candidate problem solution vectors evolves "social" norms by being influenced by their topological neighbors. Until now, an individual was influenced by its best performance acquired iParticle Swarm Optimization, Evolutionary Computation, Optimization7454-147computing fuzzy -testors using a genetic algorithmJos ngel Santos-Gordillo, Jess Ariel Carrasco-Ochoa, Jos Francisco Martnez-TrinidadThe computation of fuzzy -testors is an exponential complexity process, the unique available algorithm consists in verifying the definition on all the feature subsets. Since it does not exist an algorithm to compute fuzzy -testors in this paper a genetiGenetic algorithms, Fuzzy -testors, Feature selection5454-179combining evolutionary techniques to improve alvot efficiencyJess-Ariel Carrasco-Ochoa, Jos-Francisco Martnez-TrinidadIn this paper, a new method based on a combination of evolutionary techniques, which allows improving efficiency of the supervised classification model ALVOT, is presented. In order to get a better efficiency at ALVOT classification stage it is necessaryGenetic algorithms, Evolutionary strategies, Feature selection, Sample reduction6454-180genetic optimization a hybrid evolutionary computation approachfelix streichert, holger ulmer, andreas zellIn many application oriented optimization problems heterogeneous data types can be found. For example the set of parameters, that are to be optimized, could consist of a mixture of Boolean, integer- or real numbered values, permutations, selections from eEvolutionary computation, Genetic algorithms, Evolution strategies, Hybrid6454-148Acquisition of tacit knowledge in virtual organisationsBouarfa HafidaIn this paper, we describe knowledge acquisition for the construction of an extended enterprise memory. Our purpose is to verify the applicability of an existing knowledge acquisition method (commonKads) for the case of virtual organisations. The enterpriVirtual enterprise, Enterprise memory, Knowledge management, Tacit knowledge, CommonKads5454-174Producing A Better Solution From Bad Chromosomes For VLSI Test Pattern GenerationL. Kalyan KumarThis paper introduces a novel operator to produce the better solutions from bad solutions to improve the efficiency of the ATPG by reducing the total number of test patters in VLSI test applications. This operator is proven to be generic when the fitnessGenetic algorithms, ATPG, Mutation, Crossover, Selection5454-236Parallel Evolutionary Algorithms on Message Passing ClustersJason Digalakis , Konstantinos MargaritisParallel evolutionary algorithms have been developed to reduce the running time of serial evolutionary algorithms. Two major paradigms for parallel programming, Message Passing and Shared Memory, are implemented and their performance observed. Message PasParallel Evolutionary Algorithms, Messages Passing clusters9454-169an evolutionary computational method with experimental design for parametric optimizationAngus Wu and L. F. YeungIn this paper, a Taguchi Genetic Algorithm with the new evolutionary operation called Taguchi Transformation is proposed. The approach integrates Taguchi method into the crossover operation to improve the searching efficiency. The proposed algorithm has aExperimental Design, Taguchi Method, Quality Engineering and Genetic Algorithm6454-157Evolution of Cellular Automata-based Multiprocessor Scheduling AlgorithmsFranciszek Seredynski, Albert Y. Zomaya, Pascal BouvryThe paper introduces an approach to designing cellular automata - based multiprocessor scheduling algorithms, in which extracting knowledge about scheduling process occurs and thisknowledge can be potentially used while solving new instances of the schcellular automata, genetic algorithms, multiprocessors, scheduling, immune system6454-159Parallel Evolutionary Algorithms on Message-Passing and Shared-Memory ClustersJ. Digalakis, K. MargaritisParallel Evolutionary algorithms have been developed to reduce the running time of serial Evolutionary Algorithms. Two major paradigms for parallel programming, Message Passing and Shared Memory, are implemented and their performance observed. Message PasParallel Evolutionary Algorithms, Message Passing Interface9454-161Parallel Evolutionary Algorithms on Message-Passing and Shared-Memory ClustersJ. Digalakis, K. MargaritisParallel Evolutionary algorithms have been developed to reduce the running time of serial Evolutionary Algorithms. Two major paradigms for parallel programming, Message Passing and Shared Memory, are implemented and their performance observed. Message PasParallel Evolutionary Algorithms, Message Passing Interface9454-162Designing a Biological Experiment Using Genetic Programming: An Evolutionary Methodology to Improve the Production of Thermostable Lipase EnzymeWalid M. Aly, Walaa M. Sheta, Yasser R. Abdel-Fattah and Alaa F. ShetaExperimental design techniques present a more balanced alternative to the one-factor-at-a-time approach to fermentation improvement, since it reduces number of trials, cost and consequently creates models correlating relationships between variables and rebioinformatics GP knowledge discovey experimental design8454-163Solving Method for a Class of Bilevel Linear Programming based on Genetic AlgorithmsWang, G., Wan, Z. and Wang,X.The paper studies and designs an genetic algorithm (GA) of the bilevel linear programming problem (BLPP) by constructing the fitness function of the upper-level programming problem based on the definition of the feasible degree. This GA avoids the use ofbilevel linear programming,genetic algorithm, fitness function, numerical results,efficiency8454-166Constrained controllability of distributed parameter systemsKlamka JerzyIn the paper distributed parameter systems are considered. Using methods taken from functional analysis necessary and sufficient conditions for approximate controllability are formulated and proved. Moreover, several remarks and comments concerning controInfinite-dimensional systems, distributed parameter systems, controllability, rank conditions, eigenfunctions computations.4454-128high dimensional function optimization using a new genetic local search suitable for parallel computersShuhei Kimura Akihiko KonagayaIn this paper, we propose a new genetic local search GLSDC suitable for coarse grained parallel computers. In each generation, the proposed method applies a local search to all individuals. Then the search area of the local search is slightly narrowed byGenetic local search, Parallel computation, Function optimization, Real-coded genetic algorithm7454-154The following papers belong to: CSCC 2003, Corfu Island, Greece, July 7-10, 2003Second-order regular and singular state space systemsGeorge Antoniou2D models, 2D systems, second-order systems, state space, system theory8457-135Chaos and complexity in nonlinear circuits: Dynamic properties and generation of strange attractorsDonato Cafagna, Giuseppe GrassiNonlinear circuits, chaotic phenomena, hyperchaotic multi-scroll attractors6457-173Delay-dependent stability and alpha-stability criterions for linear time-delay systemElbrous M. JafarovTime Delay System, Lyapunov-Krasovskii functional, Leibniz-Newton formula, stability and alpha-stability, linear matrix inequalities LMIs, integral evulating, Schur complement.9457-182Combined approach to symbolic approximationZdenek Kolka, Martin VlkApproximate symbolic analysis, linear circuits, computer methods4457-224Use of probabilistic multiple carries to enhance the performance of a 32-bit asynchronous estimated carry adderE.M. Ashmila, S.S. Dlay, O.R. HintonAsynchronous Adder, Statistical Probability, Estimated Carry, Multiple Carry Prediction5457-241Generalized reference state model of piecewise-linear dynamical systemsJiri Pospisil, Zdenek Kolka, Stanislav Hanus, Jaromir BrzobohatyDynamical systems, piecewise-linear, modeling, topological conjugacy4457-282A Practical method to reconstruct the states and parameters of the Chua's system based on successive integrations of the outputMiguel S. Suarez Castaon , Carlos Aguilar IbaezChaos, Parameters Reconstruction, Variables Reconstruction, Observability9457-323Linearizing l-order generalized systemsM. Isabel Garcia-PlanasHigh-order linear systems, linearization, feedback.3457-344Fault detection and identification through variance of wavelet transform of system outputsG. D. Gonzalez, G. Ceballos, R. Paut, D. Miranda, P. La RosaFault detection, Fault identification, Wavelets, Fisher linear discriminant, Stochastic processes.7457-392Kernel pseudo-error monitorPeng Wang, Wee SerDensity function approximation, Error rate estimation, Pseudo-error monitor5457-152Performance evaluation of received power based call admission control techniques for W-CDMA uplinkAntonio Capone, Simone RedanaW-Cdma, Cac4457-181Designing new telecommunications services upon open programmable networksDionisis Adamopoulos, Constantine PapandreouService design, New telecommunications services, Service engineering, Service creation, Uml6457-199Performances of STFBC for MIMO OFDM Broadband FWA SystemsAntonios D. Valkanas, Ana Maria Gallardo, Panagiotis I. Dallas, Alexander D. PoularikasSpace-Time-Codes, MISO, MIMO, Diversity, OFDM, B-FWA5457-219Performance evaluation of call admission control techniques for UMTS downlinkAntonio Capone, Simone RedanaUmts, W-Cdma, Cac4457-228Implementation of an open platform for voice over IP applicationsStergios Spanos, Kyriakos Satlas, Kostas Papakonstantinou, John Angelopoulos, George StasinopoulosVoice over IP, VoIP, H.323, CompactPCI5457-272Time critical parameters for beamforming in software radiosV. N. Christofilakis, A. A. Alexandridis, K. P. Dangakis, P. KostarakisSoftware radio, Beamforming, Antenna array, Smart antenna, DSP, Instruction cycle time, Sampling rate.6457-361Designing of fuzzy tracking autopilot for underwater robotic vehicle using genetic algorithmsJerzy Garus, Zygmunt KitowskiUnderwater vehicle, Autopilot, Artificial intelligence, Track-keeping control5457-117On the Estimation of Shape Similarity in RoboticsDorina-Mioara PurcaruShape, Description, Parameter, Prototype, Distance, Reference distance, Similarity, Identification6457-185Defining parallel automata and their conflictsH.G. Mendelbaum, R.B. Yehezkael (formerly Haskell), T. Hirst, A. Teitelbaum, S. BlochParallel Automata, Conflicts in Parallel Automata, Extended-Finite-states-Machines, Timed Automata9457-187Using weights as tools in handling systems instability in model-reality optimal control algorithmRohanin Ahmad, Mohd Ismail Abd AzizOptimal control, Nonlinear System, Controllability, Eigenvalues, Stability6457-204Sliding mode throttle control for drive-by-wire operation of a racing motorcycle engineAlessandro Beghi, Mauro Bisiacco, Sebastiano Daros, Lorenzo NardoElectronic throttle control, Drive by wire, Sliding mode control6457-257Verifying specifications in hybrid automata models of systemsIsabella Kotini, George Hassapis, Ioannis MavridisFormal methods; Hybrid automata; System specification; Requirements verification; Hybrid systems6457-265Considerations about the classification of the prototypesDorina-Mioara Purcarutactile recognition, description, parameter, prototype, classification, class, nucleus5457-408Simulation model of underwater vehicles motion in disturbed environmentBogdan Zak, Andrzej ZakUnderwater vehicles, Identification, Modelling, Simulation6457-437Verification of hybrid system specifications using linear hybrid automataIsabella Kotini, George Hassapis, Ioannis Mavridisformal methods, hybrid automata, system specification, requirements verification, hybrid systems6457-449Application of a corba-based humanoid robot system for accident site inspection through the internetYasuo Nasu, Shin-Ichiro Kaneko, M. Yamano, G. Capi, S. NahavandiCORBA, Humanoid Robot, Teleoperation, Internet, Obstacle Avoidance8457-453An evolutionary based method for humanoid robot gait initiation and transitionG. Capi, Yasuo Nasu, K. MitobeGait transition, humanoid robot, Evolutionary Algorithms.5457-454Texture presentation capabilities of a high resolution tactile display mounted on a mouseMasahiro Ohka, Hiroshi Koga, Yasunaga MitsuyaHuman-machine systems, Virtual reality, Tactile display, Piezoelectric actuator, Matrix-typed, Striped texture, Optimal pitch, Perceptible pin-stroke5457-455The Configuration of the CSC (Cable SMS Confirmation) System for Digital CATV Broadcasting SystemTae Kyoon Kim, Eun Jung Kwon, O-Hyung Kwon4457-283Quality of service as an essentila component of the next generation InternetZoran Bojkovic, Zoran PerisicIP QoS, Intserv, Diffserv, RSVP, RSVP aggregation, Mobility support.5457-327Integration of the wireless lans into enterprise security architectureStanislav MilanovicWireless lan (wlan) , Firewall, Ipsec-vpn, Qos6457-330The Design of a RISC Processor Based on a Fixed-point ISA of MIPS R2000 Processor For Telecommunication ApplicationsS. Ahmad Mohseni Barandagh, A. KhademzadehRISC processor, Structural Model, MIPS.5457-345Parallel architecture for flexible approximate text searchingPanagiotis Michailidis and Konstantinos MargaritisApproximate string matching, processor arrays, parallel architecture, hardware engineering, VLSI8457-398Integrated web-based management system for a heterogeneous multimedia systemFlorin Lohan, Irek DefeeWeb-based management systems, Multimedia servers, DVB6457-441Quality of service routing of bandwidth guaranteed connections in MPLS networksAntonio Capone, Fabio MartignonQoS Routing, MPLS4457-159Interference level configuration in CDMA based cellular networksP. Demestichas, K. Tsagkaris, M. Theologou, G. DimitrakopoulosUMTS, QoS, Power allocation6457-210A priority dropping mechanism for the multicast delivery of layered video in a DiffServ environmentP. Stathopoulos, S. Zoi, D. Loukatos, V. Tountopoulos, A. Roustas, N. MitrouMulticast, DiffServ, priority dropping, video, MPEG4IP, experiments6457-231Configuring a differentiated services domain towards achieving fair distribution of resources between TCP and UDP flowsGiannis Dermitzakis, Panagiotis Stathopoulos, Nikolas MitrouDiffServ, RED, TCP friendly, TCP, UDP, Simulation5457-261Accurate scheduler implementation for shaping flows of variable length packets in high-speed networking applicationsTh. Orphanoudakis, H.-C. Leligou, George Kornaros, Ch. CharopoulosTraffic shaping, scheduling, SoC, Traffic Management, QoS8457-373Evaluation of delay bound for QoS provisioning in optical packet network interfaceMichael S. Berger, Brian B. Mortensen, Villy B. Iversen, Rodrigo Jociles-FerrerOptical packet switching, MAN, bundling, interface. Network Demonstrator, Optical Packet Switching, Timeout Parameter6457-375Measurement-based QoS management in composite radio environmentD.Kouis, V.Tountopoulos, P. Stathopoulos, K.Kontovasilis, N. Mitrou4G, WLAN, GRPS, DVB-T, Measurement-Based6457-377Evaluating a QoS-aware MAC protocol for packet-oriented GPON access networkJ. D. Angelopoulos, T. Argyriou, H. C. Leligou, C. LinardakisMAC, QoS, PONs, access, simulation results6457-381Methodology of development of high-tech profitable Mission Control Center for automatic space vehiclesValeriy Alekseevich Udaloy, Nikolay Mihailovich Ivanov , Nikolay Leonidovich Sokolov , Vladimir Urievich PazdnikovModeling, Control operations, Optimization, Methods, Hierarchical systems, spacecraft.4457-101Computational experience with a GRG method for minimizing fuel consumption on cyclic natural gas networksHumberto Flores-Villarreal, Roger Rios-MercadoNatural gas, Pipeline networks, Nonlinear optimization, GRG method, NP-complete5457-146Generating number sequences with different distributions by means of topological conjugacies between non-linear mapsMieczyslaw Jessa, Marcin WalentynowiczNumber Sequences, Different Probability Distributions, Chaos, Topological Conjugacies6457-223Hierarchy of models in microsystems designMiroslav HusakModelling, Simulation, Microsystems, Equivalence, energy domains, Design4457-270Modelling and simulation with arena of a mechatronics system for hydraulic tubes constructionGeorge K. AdamModelling, Simulation, Mechatronics system4457-273System C as an open source hardware / software Co-simulation platformG. Economakos4457-429Importance of the color in the cave maps and the imposed limitations for the light of acetylene electromagnetic spectrumJesus Irigoyen, Jose-Carlos Martinez, Eloina Coll, Jose HerraezCave Symbols, Acetylene electromagnetic spectrum, Color vision, Speleology, Geology4457-220Shape analysis and classification in the identification of colon texture imagesKhaled Marghani, Satnam Dlay, Andrew Sims , Bayan SharifMachine vision, Shape analysis, Segmentation, Morphology, Identification, Classification, Histological images, Colon6457-239New construction of complete complementary arrays with applications to image watermarkingSaid E. El-Khamy, Mohamed A. Mokhtar, and Noha O. El-GanainyComplemntary codes, Welti Codes, Image Watermarking, Orthogonal arrays, data hiding.5457-359Color images segmentation using the Support Vector MachinesH. Gomez, P. Gil, S. Lafuente, R. Vicen, R. SnchezImage Segmentation, Support Vector Machines, Color Spaces, Medical Imaging, Statistical Learning,5457-389Steganography detection of whole-image-DCT-based watermarking in gray-scale imagesSui Song, Dekun Zou, Constantine Manikopoulos and Yun-Qing ShiSteganalysis, Data hiding, Steganography, Watermarking, Statistical modeling, Neural network classification.5457-458A study on real time pitch alteration of speech signalWangrae Jo, Myungjin BaePSOLA, pitch alteration , spectrum distortion , pitch synchronous, pitch compression4457-461An integrated systems approach to monitoring and control of complex industrial processesYingchuan Zhang, D. Britton, Yong Zhang, B. Heck and G. VachtsevanosIndustrial Process, Monitoring, Intelligent Control, Baking Oven6457-145On the motion control of unmanned skid steering vehiclesLefteris Doitsidis, Kimon Valavanis, Nikos TsourveloudisSkid steering, Unmanned vehicle navigation, Fuzzy control, Computational complexity6457-148A closed-form representation of the solution of the Riccati Differential EquationLorenzo NtogramatzidisRiccati differential equation, Hamiltonian system, optimal control problem, optimal cost, linear systems4457-252Peculiarities of spacecraft Ocean-O control in geomagnetic stormsUdaloy Valeriy Alekseevich, Ivanov Nikolay Mihailovich, Sokolov Nikolay Leonidovich, Pazdnikov Vladimir UrievichControl, Spacecraft, Modeling, Geomagnetic storms, Aerodynamic moment, Solar Array.3457-284Fundamental principles of safety related system designGerhard H. Schildt, Daniela KahnFail-safe technique, safety relevant electronic system design, quiescient current principle, redundant system design, watch dog function, diversity, tolerance zone management, fail-safe comparator, safety relevant microcomputer system SIMIS, computerized6457-316Sufficient conditions for optimal control problems with state constraintsElzbieta Gakewska, Andrzej NowakowskiDual dynamic programming, Dual feedback control, Optimal control problem, State constraints, Sufficient optimality conditions.4457-348Non-linear control of motion of underwater robotic vehicle in vertical planeJerzy GarusUnmanned underwater vehicle, Non-linear control, Inverse dynamics, Depth controller4457-435Energy estimation with systemC: A programmer's perspectiveSpiros Xanthos, Alexander Chatzigeorgiou, George StephanidesSystemC, energy consumption, low power, simulation, C++, modeling, object-oriented languages6457-134An efficient test strategy for fast multiplier coresJiann-Chyi Rau, Ohia-Hung Lin, Ching-Hsiu LinMultiplier, Design for Testability, soft IP core, testing.4457-137stocast: a stochastic algorithm for scalable data aggregation in multicast sytemsMaziar Nekoveegroup communications, multicast, data aggregation, protocolo design, statistical analysis, simulations.6457-194Cartographic viewer using objects of ArcGIS 8.1 and Visual Basic 6.0. Application to the historical center of ValenciaEloina Coll, Ion Martinez, Jose-Carlos Martinez, Jesus IrigoyenVisual Basic for Applications (VBA), ArcGIS, Windows Objects (COM), GIS, Cartographic Viewer4457-218Exploring the influence of feature geometry on design styleChensheng Wang, Joris S. M. Vergeest, Tjamme Wiegers, D. J. van der Pant, T. M. C. van den BergDesign style, form feature, geometry, topology, shape analysis.8457-324An algorithm for the direct conversion of boolean expressions into VHDL code.Georgios Ch. SirakoulisVhdl, Vlsi, Cad Systems, Hardware, Logic Synthesis, Boolean Expressions, Digital Circuits.5457-353Rapid verification of a traffic light controller using ObjectGEODETatjana KapusSynchronous sequential circuits, Logic design, Formal specification, Functional correctness, Automatic verification, Software tools8457-383A method for determination the influence of thermic deformation of the round pieces and lathes knife about the size accuracy without temperature measurementC.C. Tsakoumis, T.A. Tashev, A.C. Tsakoumis, V.M. Mladenov, N.E. MastorakisTurning, Measuring, Thermic deformation, Accuracy, Variation, Parameters3457-438In search for chroma in musicDionysios Politis, Dimitrios MargounakisColor in Music, Psychoacoustics, Scales and Perception8457-445Telemedicine: multimedia communication perspectiveZoran Bojkovi, Andreja Samovi, Vedrana Mili-RaiTelemedicine, Multimedia, ISDN, Videoconference, Image processing, Telediagnosis, Electromiography4457-447Performance study of hierarchical video-on-demand (VoD) systems for layered videos in broadcast environmentW. F. Poon and K.T. LoBroadcasting, Video streaming, Network performance model, Video-on-demand6457-129Development of awareness driven 3D videoconferencing applicationsMojtaba Hosseini, Steve Pettifer, Nicolas D. GeorganasCVE, videoconferencing, awareness management9457-175SALM: a scalable application layer multicast protocolPanayotis Fouliras,Athanasios Manitsaris,Spiros XanthosVideo-on-demand, Application-layer, Protocol, Distributed, Hypercube, Self-recovering6457-202Transparency reduction algorithms for 3D-DCT encoders and decodersTomas Fryza, Stanislav HanusVideo compression, 3D-DCT, Video sequences cut, Transparency reduction, Compress ratio, NRMSE, Modification of 3D-DCT encoder6457-203A fast novel motion estimation for video coding using logarithmic diagonal search algorithmSomphob Soongsathitanon, Santam S. DlayLogarithmic Diagonal Search, Motion Estimation, Block matching algorithms, Three-Step Search, Full Search Algorithm, Low bit rate Video Coding6457-240A flow management scheme for multimedia traffic for high-speed network based on statistical Weibull distributionA. Sharifinejad457-368Background behavior analysis in video sequencesP. Gil-Jimenez, S. Lafuente, R. Vicen, R. Sanchez and R. GilComputer vision, neural network, motion detection, background behavior, statistical learning4457-388A decision fusion framework for content-based image retrievalPanagiotis Androutsos, Azadeh Kushki, Konstantinos Plataniotis, Anastasios VenetsanopoulosContent-based image retrieval, MPEG-7 visual descriptors, similarity calculations, feature6457-390Parameter analysis of Morlet wavelet transform based edge detectionLiming Zhang, Tao Qian457-413On a reduction of computation time of FFT cepstrumJongKuk KIM, MyungJin BAE: homomorphic deconvolution, characteristic system, cepstrum analysis,4457-462Combined methods for image compressionErnesto Saavedra, Adolf Grauel, Danny MortonImage Compression, Support Vector Learning, JPEG, Quadtrees, Edge Detection3457-464Performance enhancement of asynchronous MC-CDMA system with carrier frequency offset using successive interference cancellationRamy Abdallah , Mohamed MokhtarMulticarrier CDMA, Carrier frequency offset, Multiuser detection, Rayleigh fading channel6457-166Modified diffusion dynamic load balancing employing mobile agentsMagdy Saeb, Cherine FathyMobile agent, routing agent, load balancing, diffusion, data communication.9457-180Impact of imperfect channel knowledge on adaptive MIMO system performanceTomaz Javornik, Gorazd Kandus, Sreco Plevel, Tomaz SlivnikAdaptive modulation, MIMO system, Linear prediction, Quadrature amplitude modulation5457-186The impact of location awareness in mobile ad hoc networksDionisis X. Adamopoulos, Constantine A. PapandreouMobile ad hoc networks, Location-aware routing, Location-aware services, Jini technology, Wireless networks6457-197Accurate measurements and modeling of interaction between the human head and the mobile handsetT.Zervos, A.A.Alexandridis, V.V.Petrovic, K.Dangakis, B.M.Kolundzija, D.Olcan, A.R.Dordevic, C.SorasMobile handset, Head phantom, Radiation pattern, Method of moments, Absorbed power6457-230Deploying power-aware on-demand (PAOD) schemes over routing protocols of mobile wireless Ad-Hoc networksMohammed Kamel, Ahmed SamehMANET, Multi-hop, Routing, Power-Awareness, AODV, PAOD, OPNET9457-304On the logical verification of key exchange protocols for mobile communicationsT. Newe, T. CoffeyFormal methods, verification, modal logic, wireless communications, 3G mobile, security protocol.6457-340Study and of the characteristics needed for underwater acoustic networksAhcene Buzoualegh, Thierry Val, Fabrice Peyrard, Eric Camponetwork, acoustic, underwater, wireless, UWALAN, MFSK, spread spectrum, routing, fading7457-446Wireless mobile Ad Hoc network (MANET) emulation using the hardware switch software router (HSSR) platformBin He, Jun Li, Constantine ManikopoulosWireless ad hoc networks, MANETs, network emulation, network simulation, HSSR6457-465Specifications of spatial analysis softwarePhilippos Pouyioutas, Nadia CharalambousTemporal Databases, Spatial Analysis6457-131RMICR: Reconfigurable mesh with interchangeable coloumn_rowM. Reza SalehnamadiKey-words: Single-stage, Mesh, Reconfiguration, Sort, Diameter5457-147Portable instrumentation and profiling of Java bytecodeEmanuele Lattanzi, Alessandro Bogliolo, Luca BeniniJava; Bytecode; Profiling; Instrumentation; Portability6457-382The reliability optimization in safety - Critical and real-time embedded systemsNinoslav Slavek, Franjo JovicKey-Words: - Safety critical software, process assessment, software reliability, safety-critical systems, real-time embedded systems, processes/base practices, TQM model, Quality factors, Quality criteria, Quality metrics.6457-402INFRAWEBS - Intelligent framework for networked businesses and governments using semantic web services and multi-agent systemsH.-J. Nern, T. Atanasova, G. Agre, J. Saarela457-478Bi-directional DC-to-DC converter for solar converter applicationsK. H. EdelmoserSolar Power Inverter, DC-to-AC Converter, Photovoltaic systems, Power electronics, Inverter topology5457-183Fair unbundling of transmission power losses in competitive environmentsEnrico De Tuglie, Francesco TorelliLoss Allocation, Bilateral Transactions, Power Pools, Simultaneous contracts, Multiple wheeling transactions5457-351FDTD simulation for detection of objects buried in lossy and inhomogeneous soilsFethi Choubani, Thouraya Ajroudi, Ammar BouallgueAbsorbing boundary conditions, Lossy media, Finite-difference time-domain (FDTD) method, Ground Penetrating Radar.6457-407Application of a genetic algorithm for calculating the capacitances on an insulator stringIoannis F. Gonos, Nikoleta C. Ilia, Vassiliki T. Kontargyri, Ioannis A. StathopoulosInsulator string, Genetic algorithm, Stray capacitance, Cap-and-pin type porcelain insulator4457-468High quality model of data hiding in a binary imageAL-Jaber AhmedSteganography, Watermarking, Binary images, Security, Data hiding6457-127Method for design of balanced boolean functions satisfying strict avalanche criterion (SAC)M.Mitrouli,A.P.MarkovskyyBoolean functions, Balanced functions, SAC-functions7457-278Methods and tools for improving efficiency of symmetric cryptographic algorithmsN.G.Bardis, A.P.Leros, E.G.Bardis, N.KaradimasCryptographic algorithms, New security architectures7457-279Secure key-exchangeGeorge Stephanides, Nicolae ConstantinescuPublic-Key, Cryptosystem, Elliptic Curves, Key Exchange, Signature Scheme5457-334A secure and invisible data hiding in a gray-scale imageAhmed AL-Jaber & Khair Eddin SabriSteganography, Data hiding, Security, Gray-scale image, Watermarking5457-335On the extended key recovery in E-commerce systemsSangseung KangE-commerce, Cryptographic key, Recovery, Key encapsulation, Secret designation, Security evaluation6457-399Multimedia contents security: watermarking requirements and techniquesZoran Bojkovic, Dragorad MilovanovicMultimedia watermarking, Cryptography6457-405A comparison study of very large time constant switched-capacitor integratorsN. Radev, K. Ivanov, V. MladenovSwitched-capacitor integrators, Operational amplifiers, Gain- and offset- compensation, Filters6457-130Current mode state models of third-order dynamical systemsTomas Dostal, Jiri Pospisil, Stanislav Hanus, Vaclav MichalekModelling, Dynamical system, Current mode.4457-163Models with equivalent circuit of the PWM convertersElena NiculescuPWM converter modelling, averaged characteristic coefficients6457-205Control strategy of a stand-alone solar power inverter CONTROLK. H. Edelmoserinverter control, mains coupling filter5457-286Full-order model of the boost PWM converter with DCMElena Niculescu, Eugen-Petrisor IancuKey-Words: - Full-order canonical model of boost PWM converter, Discontinuous conduction mode, Averaged characteristic coefficients6457-439Robust position and tracking variable structure pd-controllers design methods for robot manipulators with parameter perturbationsM. N. A. Parlakci, E. M. Jafarov, Y. IstefanopulosVariable structure PD-controller, sliding mode, Lyapunov full quadratic form, robot tracking control9457-176A model evaluation of a wavelet based multiresolution image data codingVincenzo Di Lecce, Andrea Guerriero, Sebastiano ImpedovoMultiresolution, Coding, Wavelet, Multimedia6457-179An accelerated Papoulis-Gerchberg algorithmBenjamin G. Salomon, Hanoch UrPapoulis-Gerchberg algorithm, band-limited signal extrapolation3457-184Tracking time-varying channels with adaptive step-size transform domain lms algorithmRadu Ciprian Bilcu, Pauli Kuosmanen, Karen EgiazarianTransform domain lms, Optimum step-size, Time-varying channel, Minimum mse6457-191Accurate sampling of the instantaneous value of fast periodic signalsalessandro boglioloSample and hold; Periodic signal; CMOS Integrated Circuits; Time resolution; Repeated sampling4457-214A feedforward compensation scheme for perfect decoupling of measurable signalsGiovanni Marro, Lorenzo NtogramatzidisPerfect decoupling, Feedforward, Measurable input signals, Geometric approach, Fixed poles6457-253Change detection method with application in vibrating structures analysisPopescu TheodorChange detection, Signal segmentation, Impulse invariant transformation, Akaike information criterion, Vibration structures, Earthquake ground motion7457-309Condition number for reliable microwave transistors modellingWahid Bejaoui, FethiI Choubani, Ammar BouallegueEquivalent-Circuit, Transistor, Small-Signal, Condition Number, Optimization, Measuremenst Errors.5457-332Predictive multi-mode quantizer structure for parametric speech coding systemsJani Nurminen, Ari Heikkinen, Jukka SaarinenVector quantization, Predictive quantization, Multi-mode quantization, Matrix quantization, Quantizer design, Parametric speech coding5457-360Bandwidth estimation schemes for TCP over wireless networksAntonio Capone, Fabio MartignonTCP, Bandwidth Estimation, Wireless Links, Fairness4457-160A mathematical model of TCP with bandwidth estimationAntonio Capone, Fabio MartignonTCP, Mathematical Model, Bandwidth Estimation, Wireless Links, Fairness4457-161Design of converged IN and IP architecture that offers existing and next generation services to both PSTN and IP usersMaria Skoura, Fadi-Sotiris Salloum, Anastasios Dagiuklas, Panagiotis Katsavos, Spyros AnthisIn/ip convergence, Next generation services6457-236On designing address lookup methods for IPv6Kari SeppanenIP routers, address lookup, IPv66457-262Migration path to fully integrated IP-SANStanislav MilanovicStorage Area Network (SAN),iSCSI,IP,QoS,Fibre Channel,Virtual Private Network (VPN)6457-267Service control in connection oriented networksCristian Lambiri, Dan Ionescu, Bogdan Ionescu457-289A comparative analysis of on-line measurement-based capacity allocation schemesFatih Haciomeroglu, Michael Devetsikiotis457-370Delay reduction with provision based fair scheduling assuring QoSHenrik Wessing457-372Comparative routing overhead analysis of PNNI and saturation for ATM networksJose L. Ucles, Constantine N. ManikopoulosATM network, PNNI routing, Saturation routing, Overhead, Comparative Analysis.6457-459Influence of activation function for quality of ship's motion modeling using artificial neural networksBogdan Zak, Andrzej ZakShip, Neural Networks, Modelling, Identification6457-125Locally-connected neural networks: Stability analysis and synthesis techniqueGiuseppe Grassi, Donato CafagnaLarge-scale circuits, Locally connected circuits, Cellular Neural Networks, Associative memories6457-172Text-to-phoneme mapping using a fast neural network with adaptive learning rateEniko Beatrice Bilcu, Janne Suontausta, Jukka SaarinenNeural networks, Adaptive learning rate, Text-to-phoneme mapping, Phoneme accuracy6457-193A neural network based human machine interactive systemM. Srinivasan, W.L. Woo, S.S. DlayHybrid Connectionist, Artificial Neural Networks (ANN) and Human Machine Interaction (HMI).5457-238Improving performance of neural network models for intrusion detection using singular value decompositionOhm Sornil and Jessada KajornritIntrusion detection, Neural network, Singular value decomposition5457-460Geospatial information management systemEloina Coll, Oscar Atienza, Jose-Carlos Martinez, Rafael GabaldonGeospatial Information, Cartographic Metadata, Cartographic Databases, Cartographic Normalization, Formats, Cartographic Representation.4457-217Hardware community through the use of web services and hardware interpreterS.C. Wong, S.N.Cheong, Azhar K.M.Web services, WSDL, SOAP, Hardware community, Hardware interpreter, Java5457-245Proposal and study case of a multiAgent architecture to retrieve information in distributed and heterogeneous data sourceMaristela T. Holanda, Danisio F. M. Sousa, Robson P. Miranda, Rafael T. S. Jr, Claudia J. B. AbbasMobile agents, Distributed database, Heterogeneous database, Classification, Aglets, XML7457-250On the evaluation of availability in computer networks based on an N-Tier client/server architectureFlavia E. S. Coelho, Jacques P. Sauve, Claudia J. B. AbbasEvaluation of availability, Network availability, Dependability,N-tier client/server architecture7457-266Virtual network creation on an ATM multimedia environmentVladislav SkorpilVirtual networks, ATM, LANE, Shared server, Model, Loading4457-288An efficient path recovery mechanism for LDP in MPLS networksJenhui Chen, Chung-Ching Chiou, Shih-Lin Wu, and Cheng-Yi LinAlgorithm, network, path recovery, protocol, routing, switching5457-329Mahmud Hassan457-331Robust path routing protocol in mobile Ad Hoc networksShih-lin Wu, Chung-Ching Chiou, Jenhui Chen, and Tai-Jiun Chenmobile ad hoc networks, backup, route recovery, routing protocols, real time6457-395Delay analysis of a discrete-time non-preemptive priority buffer with 3 traffic classesJoris Walraevens, Bart Steyaert, Herwig BruneelQueueing theory and ommunications, Non-preemptive priority scheduling8457-409On using the hyperbolic distribution to statistically model network LAN traffic time-segmentsJun Li, Constantine ManikopoulosStatistical network model, Hyperbolic distribution, Anomaly intrusion detection, Internet services6457-463A new approach to designing fuzzy systemsLeszek Rutkowski, Krzysztof CpakaTriangular norms, H-function, H-implication5457-165Inverse modelling of the mass transfer process in the RDC column by fuzzy approachN.Maan, J.Talib, K.A.Arshad & T. AhmadKeywords:-Liquid-Liquid Extraction; Mass Transfer; Fuzzy Numbers; Triangular Memberships Function; RDC Column; Convex Set.6457-281Data driven modeling using descriptive Takagi-Sugeno fuzzy systemsIngo Renners, Adolf GrauelSystem identification, Modeling, Evolutionary computation, Genotype, N-ary tree, Descriptive Takagi-Sugeno fuzzy systems7457-410Feature selection for clustering based fuzzy modelingA. Chong, T.D. Gedeon, L.T. KoczyFeature selection, input contribution measurement, fuzzy modeling, feature analysis5457-456Modelling interdependent critical infrastructureRoberto Setola, Giovanni UliviCritical Infrastructure, Complex Network, Fuzzy modelling, CIP/CIIP7457-457On filter banks and wavelets based on Chebyshev polynomialsR. J. de Sobral Cintra, H. M. de Oliveira, L. R. SoaresWavelets, Filter banks, Chebyshev polynomials, Wavelet design6457-128Design of FIR digital differentiators using maximal linearity constraintsIshtiaq Rasool Khan, Masahiro Okuda, Ryoji OhbaMaximally linear, MAXFLAT, digital differentiators, digital filters6457-154Universal N-order ARC filters using current conveyors and multi-output current followersTomas DostalARC filters, Multi-loop feedback structures, Current followers, Current conveyors.4457-158Compactly supported wavelets derived from Legendre polynomials: Spherical harmonic waveletsMilde M.S. Lira, Hlio M. de Oliveira, Manoel A. Carvalho Jr, Ricardo M.C. de SouzaLegendre polynomials, Spherical harmonic, Compact support wavelets, Legendre wavelets6457-168Synthetic immittance element with gyrator for filter realizationIvo Lattenberg, Kamil VrbaFilters, Current mode, Synthetic elements, Gyrators4457-200Optimization of elliptic leap-frog CDBA-based filtersDalibor Biolek, Michal Olsak, Viera BiolkovaCDBA, Ladder Filter, Leap-Frog, SFG Simulation5457-260A comparison study of very large time constant switched-capacitor integratorsNikolay Radev, Kantcho Ivanov, Valeri MladenovSwitched-capacitor integrators, Operational amplifiers, Gain- and offset- compensation, Filters6457-285Enhancing the ODMG model: A framework based on constraintsGuy De TrConstraints, ODMG, Object-orientation, Database modeling, Object algebra.9457-171A Spatial Distributed Approach for Electronic Medical Record AdministrationGeorge Anastassopoulos, Lamprini Kolovou, Dimitrios LymperopoulosHealthcare, Medical record, Distributed database, Replication, Security, Data access6457-211A Methodological Approach for Database Access Control EngineeringIoannis Mavridis, George PangalosDatabase security, Access control, Requirements engineering6457-264Evaluating the impact of information sources heterogeneity inside data Webhousing systemsEurico Borges, Anlia Loureno, Orlando Belo457-421Improved equivalent circuit, for multiple quantum well photovoltaic nanostructures, by inclusion of thermionically escaping electronsArgyrios C. Varonidesphotovoltaic nanostructures, photoexcitation, thermal escape6457-248Photogeneration and Thermionic Currents in p/i(n)/n(+) Multiple Quantum Well NanostructuresArgyrios VaronidesQuantum wells, photo-generation, recombination, p/i/n solar cells, thermionic currents9457-450Detailed Fermi level balance in un-doped bulk and intrinsic quantum well nanostructuresArgyrios VaronidesFermi level, quantum well, nanostructures6457-451Hierarchical co-evolution for non-routine designMike Rosenman and Rob Saundersevolutionary design, hierarchical co-evolution, non-routine design6457-126Methods of heuristic search in a hypothetical delivery companyAlberto Prez AlonsoDepth First Search, Breadth First Search, Heuristic Search Algorithms, Space of Configurations, Euclidian Distance Heuristic.4457-144Towards a formalization of collective decision-making and learningNadim ObeidKeywords: Collective decision-making, individual learning, collective learning, temporal, nonmonotonic, logic.6457-153Unknown attribute value processing by hierarchical background treeIvan Bruha5457-195Maintenance of case bases through pruning and learningCostas Tsatsoulis, Ping YangCase-Based Reasoning (CBR), Intelligent Systems, Machine Learning, Case-Base Maintenance5457-271Optimisation by clonal selection principlesM. Koester, A. Grauel, H. ConveyArtificial Immune System, Clonal Selection, Affinity Maturation, Multi-modal Function Optimisation6457-362Orlando Belo457-428A common vulnerability markup language and a new zero administration framework of system securityTian Hai-tao, Huang Liu-shengvulnerability, Vulnerability Markup Language, XML, security assess, self-managing,7457-229Using adaptive decision making based on incomplete trust in electronic commercePetri Puhakainen, Catharina Candolin, Hannu H. Kariincomplete trust, e-commerce, electronic transaction, trust evaluation, risk analysis4457-269Secure key recovery for archived and communicated dataEmmanouil Magkos Vassilios Chrissikopoulos Nikos Alexandris Marios PoulosKey Recovery, Key Management, Archived and Communicated Data, Intranets, Cryptography5457-274A simple form to encode/decode information based on synchronizing hyperchaotic mapsCarlos Aguilar I., Miguel S. Suarez C., J. Humberto Sossa457-280An authentication protocol to MANETRicardo Puttini, Ludovic Me, Rafael de SousaMANET, routing protocol security, authentication, certification services19457-326Optical receiver for single-photon transmissionOtakar Wilfert, Josef Sip, Zdenek KolkaOptical wireless link, free space optics, quantum key distribution, single-photon detector4457-374Static compaction for sequential circuits by reassembling test subsequencesMichael Dimopoulos, Panagiotis LinardisSequential Digital Circuits, Test Sequence Compaction, Test Generation, Genetic Algorithms6457-196Computational geometry algorithms in an educational intelligent scenario management systemMarios Poulos, Vasilios Belessiotis, Nikolaos Alexandris, Vasilios ChrissikopoulosAdvanced Technologies in Education, Scenario Analysis, Computational Geometry, Knowledge Representation and Visualization, Modeling History5457-242Comparison between computational geometry and coherence methods applied to the EEG for medical diagnostic purposesMarios Poulos, Nikolaos Alexandris, Vasilios Belessiotis, Emmanouil MagkosComputational Geometry, Coherence, EEG, Algorithm, Power Spectrum, Signal Processing.5457-246On multi-agent fault diagnosisNadim ObeidModel-based diagnosis, Multi-agent, Collective decision-making, Temporal, Nonmonotonic Reasoning, Events.6457-346Improved selection of test subsequences in sequential circuits for reduced power consumptionMichael Dimopoulos, Panagiotis LinardisSequential Digital Circuits, Low Power Consumption, Sequence Compaction, Test Generation, Genetic Algorithms5457-393Compacting test sequences for sequential circuits by applying set covering techniquesMichael Dimopoulos, Panagiotis LinardisSequential Digital Circuits, Sequence Compaction, Test Generation, Genetic Algorithms.8457-394The reliability optimization in safety - Critical and real-time embedded systemsNinoslav Slavek, Franjo JoviKey-Words: - Reinforcement learning, Markov chain, learning automaton, adaptive critic, learning algorithm, stationary random policy, s