PROGRAM
The
6th WSEAS International Conference on
SIMULATION, MODELLING AND OPTIMIZATION (SMO '06)
Lisbon, Portugal, September 22-24, 2006
Friday, September 22, 2006
PLENARY LECTURE 1
Video Systems and Robot Arms
Professor Vincenzo Niola
Departement of Mechanical Engineering for Energetics
University of Naples Federico II
Via Claudio n. 21, 80125 Naples
Italy
E-mail: vincenzo.niola@unina.it
Abstract: Video applications represent an useful tool for many robotic applications. Among others, very interesting can be considered: the robot cinematic calibration and the trajectories recording.
First of all it is important to consider that, by a suitable cameras calibration technique, it is possible to record three dimensional objects and trajectories by means of a couple of television cameras.
By means of perspective transformation it is possible to associate a point in the geometric space to a point in a plane. In homogeneous coordinates the perspective transformation matrix has non-zero elements in the fourth row. An expression of perspective transformation is proposed with the scope to introduce the perspective concepts for the application in robotic field.
By means of studies on a camera vision model, an algorithm for stereoscopic vision system has been obtained.
This algorithm will be used to apply vision model to robotic applications, mainly for robot’s mechanical calibration and three-dimensional trajectories recording, but also for general vision systems in robotic applications.
The proposed algorithm uses the fourth row of the Denavit and Hartemberg transformation matrix that, for kinematics’ purposes, usually contains three zeros and a scale factor, so it is useful to start from the perspective transform matrix.
A camera can be modelled as a thin lens and an image plane with CCD sensors. The objects located in the Cartesian space emit rays of light that are refracted from the lens on the image plane. Each CCD sensor emit an electric signal that is proportional to the intensity of the ray of light on it; the image is made up by a number of pixels, each one of them records the information coming from the sensor that corresponds to that pixel.
In order to indicate the position of a point of an image it is possible to define a frame u,v (see fig.6) which axes are contained in the image plane. To a given point in the space (which position is given by its Cartesian coordinates) it is possible to associate a point in the image plane (two coordinates) by means of the telecamera. So, the expression “model of the camera” means the transform that associates a point in the Cartesian space to a point in the image space.
The proposed techniques can be also used for the robot cinematic calibration. The procedure can be summarized in two main steps:
I. positioning and orientation error of the end-effector in a given number in the work space:
II. developing of a mathematic technique to predict and offset the errors.
The cinematic calibration techniques generally doesn’t not consist in the direct measurement of the geometric parameters of the robot arm but needs the possibility to measure the end-effector position with a very high accuracy.
So, the proposed calibration technique can be applied to existing industrial robots and doesn’t require to set up a complex device, as it is based on the employment of a vision system and uses a couple of telecameras.
Another application of vision systems in robotics is the trajectory recording; this is essential to study robot arm dynamical behaviour has been obtained by means of two digital television camera linked to a PC.
A vision algorithm is proposed by means of which it is rather easy to record trajectories of a point belonging to a robot arm in the three dimensional space.
The rig, that has been developed, allows us to obtain the velocity vector of each point of the manipulator by means of which it is possible:
- to control the motion giving the instantaneous joint positions and velocities;
- to measure the motions between link and servomotor in presence of non-rigid transmissions;
- to identify the robot arm dynamical parameters.
PLENARY LECTURE 2
Scale Free Networks – A Challenge in Modeling Complexity
Professor Radu Dobrescu
"POLITEHNICA" University of Bucharest
Splaiul Independentei no.313
Faculty of Control and Computers
E-mail: radud@isis.pub.ro
Abstract: The Lecture proposes a model that relieves the characteristics of several complex systems having a similar scale free network architecture. The properties of this kind of networks are compared with those of other methods which are specific for studying complex systems: nonlinear dynamics and statistical methods. We place particular emphasis on scale free network theory and its importance in augmenting the framework for the quantitative study of complex systems, by discussing three important applications: Internet topology and traffic characteristics, epidemics broadcast and cellular communication system in biological networks. Finally the new ways in modeling complex systems with scale-free networks are discussed.
PLENARY LECTURE 3
Univariance Optimization in High Dimensional Model Representation over Uniformly Data Filled Hypergrid
Professor Metin Demiralp
Informatics Institute
Istanbul Technical University, Turkey
E-mail: demiralp@be.itu.edu.tr
Abstract: Recent fifteen years brought a new powerful tool which is now called High Dimensional Model Representation to multivariate analysis. It is a divide–and–conquer type algorithm and finds its roots in the works of Sobol, Rabitz’s group, and most recently Demiralp’s group. It is based on an expansion in ascending multivariance such that the components of the expansion start with a constant followed by univariate components each of which depends on a different independent variable. The next terms are bivariate functions followed by the trivariate functions and so on. HDMR contains a finite number of components (2N if the number of the independent variables is N). However this number may become impractically large when N tends to grow higher values like hundreds, thousands. In these circumstances and generally for the practical point of view the univariate truncation of HDMR is desired to be an approximation for the multivariate function.
The dominancy of univariance may not be encountered in certain multivariate functions. These cases urge us to increase this dominancy by optimizing certain flexibilities. Since HDMR contains a weight function which can be somehow arbitrarily chosen, the choice becomes important since it affects the dominancy of constant and univariate components of HDMR.
HDMR’s weight function can be chosen as a continuous function or a generalized function like the product of certain linear combinations of Dirac’s delta function. The latter one becomes the only alternative when the multivariate function under consideration is given not analytically but a finite set of values on a hypergrid whose all nodes are accompained by the corresponding values of the multivariate function under consideration.
Since there are flexibilities in the coefficients of the linear combination of the delta functions they can be optimized to get maximum univariance in HDMR.
Lecture will be held at phenomenological level although sufficient instructions will also be given for numerical implementations.
PLENARY LECTURE 4
Mixed Discretization-Optimization Methods for Optimal Control of Nonlinear Parabolic Systems
Professor Ion Chryssoverghi
Department of Mathematics, School of Applied Mathematics and Physics
National Technical University of Athens
Zografou Campus, 15780 Athens
GREECE
E-mail: ichris@central.ntua.gr
Abstract: An optimal control problem is considered, for systems governed by a parabolic partial differential equation, jointly nonlinear in the state and control variables, with control and state constraints. Since no convexity assumptions are made on the data, this problem may have no classical solutions, and thus it is also formulated in the relaxed form. The classical and relaxed problems are discretized by using a finite element method in space and an implicit theta-scheme in time, while the controls are approximated by blockwise constant classical or relaxed controls. Various necessary/sufficient conditions for optimality are given for the control problems, in the continuous and discrete cases. Results are then obtained on the behavior in the limit of discrete optimality, and of discrete admissibility and extremality. Next, we propose a conditional descent method, applied to the discrete relaxed problem, and a penalized gradient projection method, applied to the discrete classical problem, and also progressively refining versions of these methods that reduce computing time and memory. The behavior in the limit of sequences constructed by these methods is examined. Finally, several numerical examples are given.
PLENARY LECTURE 5
From the Magic Square to the Optimization of Networks of AGVs and from MIP to an Improved GRASP like Optimization Algorithm and from this one to an Improved Evolutionary Algorithm
Professor Jose Barahona da Fonseca
Department of Electrical Engineering and Computer Science
Faculty of Sciences and Technology
New University of Lisbon
2829-516 Monte de Caparica, Portugal
E-mail: jbfo@fct.unl.pt
Abstract: In a previous work we presented an algorithm inspired in the Strong Artificial Intelligence and in the minimax optimization that imitates the human being in the solution of the magic square and we showed that in most cases its performance was much better than the human’s performance and even better than the performance of the best algorithms to solve the magic square, in terms of number of changes.
In this paper we adapt and transform this algorithm to solve the optimization of an AGVs network problem, using as a first test case 9 workstations in fixed positions and 9 operations to be executed, and the optimization problem is translated in the search of which of the 9! possible manners to distribute 9 operations by the 9 workstations that minimizes the total production time for a given plan of production.
As a final validation test, using random search, in 1000 runs it never reached the optimal solution at the end of 100000 iterations.
Finally we considered the more general case where the number of workstations is greater than the number of operations, and so there are some workstations that make the same operation, and we will have a layout with repetitions and multiple trajectories that implement the same product. This turns the problem more complex since when a product has operations that are executed by various workstations we must search all the possible combinations and find the average distance over all possible trajectories associated to a product. Furthermore the generation of all ‘permutations with repetitions’ is more complex and in the literature there are no published algorithm to generate this type of combinatorial entities. The Mixed Integer Programming approach proves to be impractical even for a simple test case of two products defined as sequences of four operations since the implementation of the division of the total distance over all trajectories that implement a product by their number turns the MIP model very big and combinatorial explosive. Using the BDMLP Solver with the GAMS software we only did obtain a sub-optimal solution that corresponds to a production time of 752s (the optimal being 690s) after 5 hours of computation in a 3.6GHz clock Pentium IV with 2G RAM and after exhausted the memory. Next using the CPLEX Solver we already obtain the optimal solution after 5.6 hours of computation. Again our algorithm adapted to layouts with repetitions presented very good results for this simple test case of 9 machines, 4 operations and 2 products. Finally we adapt and improve the OmeGA algorithm [1] and we apply it to our test cases and we got much better runtimes and almost always the optimal solution.
[1] D. Knjazew, OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems, Kluwer Academic Publishers, 2002.
SESSION: Computartional and Artificial Intelligence
Chair: Jonathan H. Chan, Khaled Al Khnaifes
Searching Raw Datasets in Data Grids Using Ant Colony Optimization |
Uros Jovanovic, Bostjan Slivnik |
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Forecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric Models |
Abdel karim M. Baareh, Alaa F. Sheta and Khaled Al Khnaifes |
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Integration of Process Planning and Job Shop Scheduling Using Genetic Algorithm |
Byung joo Park, Hyung Rim Choi |
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An ant colony optimization for single-machine weighted tardiness scheduling with sequence-dependent setups |
Farhad Kolahan, Mahdi Abachizadeh, Saeed Soheili |
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Classification of Extended Control Chart Patterns: A Neural Networks Approach |
Bunthit Watanapa and Jonathan H. Chan |
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Implementation of Artificial Intelligence in the Time Series Prediction Problem |
L. Ekonomou, S.Sp. Pappas |
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Comparison of Artificial Intelligence Methods for Predicting the Time Series Problem |
S.Sp. Pappas, L. Ekonomou |
SESSION: Advances in Control Theory and Control Applications
Chair: Jonathan Ion Chryssoverghi, Glenda Dinolfo
Mixed discretization-optimization methods for relaxed optimal control of nonlinear parabolic systems |
Ion Chryssoverghi |
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Rotor Power Feedback Control of Wind Turbine System with Doubly-Fed Induction Generator |
Jurica Smajo |
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Optimization methods for optimal control of nonlinear elliptic systems |
John Coletsos, Basil Kokkinis |
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Guaranteeing cost minimax strategies for uncertain discrete-time systems |
Eva Gyurkovics, Tibor Takacs |
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Adaptive control and data fusion using EKF for wheeled robots with parametric uncertainties |
Francesco M. Raimondi, Maurizio Melluso, Glenda Dinolfo |
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Stochastic delay estimation and adaptive control of networked control systems |
Chunmao Li, Jian Xiao, Yue Zhang |
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Fault-tolerant search of container codes | Juan Rosell, Gabriela Andreu, Alberto Perez | 537-364 |
An adaptive system to control robots: ontology distribution and treatment |
Mickael Camus, Alain Cardon |
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Modelling and control of a complex systems using a new approach |
Soheil Damangir, Ghazaleh Jafari Jashemi, Hassan Zohur |
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Indirect Vector Control of Induction Motor |
A. Onea, V. Horga, M. Ratoi |
SESSION: Electronics Design Methods I
Chair: G. H. Amirbostaghi, Elizabeth Elias
An evolutionary-analytical method for improving convergence in 63/20 kv substation emplacement |
Peyman Nazarian, G. H. Amirbostaghi |
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Automatic HDL Generation for ASIC Designs |
Jouni Riihimäki |
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Voltage Unbalance Effects On Induction Motor Performance |
Larbi Refoufi, Hamid Bentarzi, and Fatma Zohra Dekhandji |
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Design of Two-Dimensional Signal adapted filter bank from One Dimensional filters |
Sheeba V S, Elizabeth Elias |
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Vulnerability and Security of Mobile Ad hoc Networks | Ali Ghaffari | 520-221 |
2nd WSEAS Intern. Symposium on DATA MINING
SESSION: Data Mining Methodologies
Chair: Metin Demiralp, Jaideep Srivastava
Process Parameter Optimization via Data Mining Technique |
Kun-Lin Hsieh |
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Hybrid Neuro-Genetic Systems as Effective Analysis schemes of Financial and Accounting statements |
Loukeris Nikolaos, Matsatsinis Nikolaos |
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Prioritizing of Offenders in Networks |
Giles Oatley, Ken McGarry, Brian Ewart |
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Recurrent Neural-Genetic Hybrids in Corporate Financial Evaluation |
Loukeris Nikolaos, Matsatsinis Nikolaos |
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Hybrid Neuro-Genetic Principle Components Analysis as networks in Corporate Financial Evaluation |
Matsatsinis Nikolaos, Loukeris Nikolaos |
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Mining usage profiles from access data using fuzzy clustering |
Giovanna Castellano, Anna Maria Fanelli, Maria Alessandra Torsello |
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Data Mining for Decision Support in Multiple-Model System Identification |
Sandro Saitta, Benny Raphael, Ian F.C. Smith |
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Fuzzy Inference in the Analysis of Non-interval Data |
Namdar Mogharreban, Lisabeth Dilalla |
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A Method for Mining Quantitative Association Rules |
María N. Moreno, Saddys Segrera, Vivian F. López And M. José Polo |
SESSION: Evaluation methodologies
Chair: F. Gallerano, Vincenzo Niola
Binary Decision Diagrams: A Mathematical Model for the Path-Related Objective Functions | P. W. C. Prasad, Ali Assi, Bruce Mills | 517-140 |
The application of DWT for determining the level of audibility |
Vincenzo Niola, Giuseppe Quaremba |
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Adaptive model reduction for sensitivity analysis |
David Ryckelynck |
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A New Approach for Evaluating SNR of ECG Signals and its Implementation |
Ch. Renumadhavi, S.Madhava Kumar, A. G. Ananth, Nirupama Srinivasan |
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Comparisons of the Turkish, English, German, French, Russian and Spanish languages for communication of same semantic content |
Aladdin Shamilov, Senay Yolacan |
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A Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair |
Doina Cascaval, Petru Cascaval |
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Optimized Agent Based System Performance - A Role Oriented Approach | Soumya Suravita, Prabhat Ranjan , R.K. Singh, A. K. Misra | 534-920 |
SESSION: Mathematical Modelling and Applications
Chair: Li Kai, Nigel P. French
A new linear analytical SIR model for age-dependent susceptibility and occupation-dependent immune status |
Graham B. McBride, Nigel P. French |
517-182 |
Energy modelling applications for analysis of policy options-an overview |
Mukhtar H. Sahir, Arshad H. Qureshi |
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New achievements for Romanian Engineering Training in Modelling Power Systems |
Stefania Popadiuc, Frangiskos Topalis, Cristiana Geambasu |
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Optimization and simulation of secondary settler models |
I. A. C. P. Espirito Santo, E. M. G. P. Fernandes, M. M. Araujo, E. C. Ferreira |
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Large deformation modeling in soil-tillage tool interaction using advanced 3D nonlinear finite element approach |
Ramin Jafari, Teymur Tavakoli Hashjin, Saeed Minaee, Mohamad Hosein Raoufat |
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Modeling and Simulation of Substrate Noise in Mixed-Signal Circuits Applied to a Special VCO |
Golnar Khodabandehloo,Sattar Mirzakuchaki |
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Research on the model of arc noise in welding seam tracking |
Li Kai, Yue Hong, Sun Lixin, Dai Shijie, Cai Hegao |
Saturday, August 23, 2006
SESSION: Software Engineering and Applications
Chair: Genadijus Kulvietis, Youssef Bellouki
The application of morphological algorithms on 3-dimensional porous structures for identifying pores and gathering statistical data |
Thomas Byholm, Jan Westerholm, Martti Toivakka |
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Computer algebra technique for abrasive treatment process dynamics |
Jurate Mikucioniene, Algimantas Fedaravicius, Regina Kulvietiene, Genadijus Kulvietis |
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Multifunctional Relay Developed in ATP „Foreign Model“ and C++ |
Frantisek Janicek, Martin Mucha |
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Solving semi-infinite programming problems by using an interface between MATLAB and SIPAMPL |
A. Ismael F. Vaz, Edite M.G.P. Fernandes |
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A Meta-model Semantics for Structural Constraints in ODP computational Language |
Mohamed. Bouhdadi, El Maati. Chabbar, Youssef. Bellouki, Hahif Belhaj |
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A Meta-model Syntax for Structural Constraints in ODP Enterprise Language |
Mohamed. Bouhdadi, El Maati. Chabbar, Hafid Belhaj, Youssef Bellouki |
SESSION: Optimization: Advanced Theory and Applications
Chair: Ana Maria Madureira
Evolutionary Techniques in Circuit Design and Optimization |
Cecilia Reis, J. A. Tenreiro Machado, J. Boaventura Cunha |
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Genetic Algorithms and Neural Networks in Optimal Location of Piezoelectric Actuators and Identification of Mechanical Properties |
L. Roseiro, U. Ramos, R. Leal |
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Street-crossing Simulation in Real Environments - A Case Study |
Viriato M. Marques, Hugo R. Felgar, Nelson O. Alves, Cristina C. Costa |
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Team-Work Based Architecture for Distributed Manufacturing Scheduling |
Ana Madureira, Nuno Fernandes Gomes, Joaquim Santos |
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Neuro-Fuzzy ZMP Control of a Biped Robot | Joao Paulo Ferreira, Manuel Crisostomo, A. Paulo Coimbra | 517-099 |
On the implementation of an interior-point SQP filter line search algorithm | M. Fernandes P. Costa, Edite M.G.P. Fernandes | 517-187 |
SESSION: Computational Mathematics and Modelling
Chair: Jose Barahona da Fonseca See-Yeob Song
Randomized algorithm for arrival and departure of the ships in a simple port |
Ali Delavarkhalafi |
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An Automation of Fatigue Durability Analysis for Welded Bogie Frame Using System Integration Techniques |
Je-Sung Bang, Seung-Ho Han, Jai-Kyung Lee, Seong-Whan Park, See-Yeob Song |
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Contaminant Transport with Groundwater Flow in Unconfined Aquifer (Two-dimensional Numerical Solution) | Dwi Tjahjanto, Amir Hashim Mohd Kassim | 516-178 |
Performance of Maximum Entropy Probability Density in the Case of Data Which are not Well Distributed |
Aladdin Shamilov, Ilhan Usta, Yeliz Mert Kantar |
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Analysis of the Gulf of Mexico Coastal and Estuarine Water Levels as Random Signals |
Alexey L Sadovski, G. Beate Zimmer, Blair Sterba-Boatwright, Philippe Tissot, Ray Bachnak |
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Approximation of a general data assimilation scheme by stochastic diffusion processes |
Konstantin Belyaev, Detlev Mueller, Clemente A. S. Tanajura |
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From Fisher's Linear Discriminant Analysis to NLDA or the Story of the Solution of a Very Difficult Nonlinear Classification Problem |
Jose Barahona da Fonseca |
SESSION: Systems Modelling and Simulation
Chair: Majda Bastic, J.A.Ferreira
Culture, Entrepreneurship and Market Orientation as Determinants of Organizational Innovation Capability: the Case of Transition Economy |
Gabrijela Leskovar-Spacapan, Majda Bastic |
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Measuring information propagation and retention in boolean networks and its implications to a model of human organizations |
Andre S. Ribeiro, Robert A. Este, Jason Lloyd-Price, Stuart .A. Kauffman |
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Using Generating Functions to Solve Linear Inhomogeneous Recurrence Equations |
Minh Tang and To V. Tang |
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L2-sensitivity minimization of 2-D separable-denominator state-space digital filters subject to L2-scaling constraints |
Osemekhian Omoifo and Takao Hinamoto |
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Generalized Fourier Diffraction Theorem for Tomography |
Natalie Baddour |
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Data Transmission Encryption and Decryption Algorithm in Network Security |
Tsang-Yean Lee, Huey-Ming Lee, Homer Wu, Jin-Shieh Su |
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A nonlinear viscoelasticity problem with memory in time |
J.R.Branco, J.A.Ferreira |
2nd WSEAS Intern. Symposium on DATA MINING
SESSION: Data Mining Techniques and Applications
Chair: Filippo Tangorra, Faouzi Mhamdi
Text-based Decision Making with Artificial Immune Systems |
Hana Kopackova,Ludek Kopacek |
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Capturing Semantics from Bitmap Indices for Data Analysis |
Carlo dell’Aquila, Ezio Lefons, and Filippo Tangorra |
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Combining feature selection and feature reduction for protein classification |
Ricco Rakotomalala, Faouzi Mhamdi |
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Estimation of FAQ Knowledge by Classifying Questions and Answers |
Jun Harada, Masao Fuketa, Kazuhiro Morita, Touru Sumitomo, Elsayed Atlam And Jun-Ichi Aoe |
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Towards a Formal Model for the Network Alarm Correlation Problem |
Jacques Bellec, Tahar Kechadi |
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Query-focused multidocument summarization based on hybrid relevance analysis and surface feature salience |
Jen-Yuan Yeh, Hao-Ren Ke, Wei-Pang Yang |
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Multidimensional clusters in RadViz |
Lenka Novakova, Olga Stepankova |
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Fuzzy clustering ensemble based on mutual information |
Yan Gao, Shiwen Gu, Liming Xia, Zhining Niao |
SESSION: Industrial Systems
Chair: Horst Zimmermann, M. Ratoi
Operational amplifier with two-stage gain-boost |
Franz Schlögl, Horst Dietrich, Horst Zimmermann |
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Contact problem in shape modelling of Multi-Bellows Air Springs |
Ludvik Prasil, Vladimir Kracik, Dalibor Frydrych |
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A PSO approach for non-linear actine noise cancellation |
Hamidreza Modares , Alireza Ahmadyfard and Mohammad HadadZarif |
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Real Time Fleet Monitoring and Security System using GSM network |
Muhammad Ahmad, Javaid Iqbal, Qurat-Ul-Ain, Sumaira Ghazal |
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Unlike robots, people modulate internal forces during object manipulation |
Vladimir M. Zatsiorsky, Mark L. Latash, Fan Gao |
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Analysis of PWM Converters Using MATLAB |
Elena Niculescu, E. P. Iancu, M. C. Niculescu and Dorina-Mioara Purcaru |
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Parameter Estimation of Induction Motor Based on Continuous Time Model |
V. Horga, A. Onea, M. Ratoi |
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Nanofiber textiles - problem of FEM modelling the coupled heat and moisture transfer |
Dalibor Frydrych, Petr Ralek |
SESSION: Fuzzy Systems and Fuzzy Engineering
Chair: Iraklis Chalkidis, Gilberto Perez-Lechuga
Fuzzy Model for Municipalities Classification in the State of Hidalgo in Mexico |
Amaury A. Caballero, Kang K. Yen, Miriam Alvarez, Gilberto Perez-Lechuga |
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Fuzzy Logic Techniques used in Manufacturing Processes Reengineering |
Lucian Cioca, Radu Breaz, Gabriel Racz |
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Fuzzy sliding mode PI controller for nonlinear systems |
Lagrat Ismail, Ouakka Hamid, Boumhidi Ismail |
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Stability Analysis and Control Design of Fuzzy Systems using Scilab package |
L. Ekonomou |
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Water resources management of an aquifer with fuzzy linear programming |
Iraklis Chalkidis, Christos Tzimopoulos, Christos Evangelides, Stauros Yannopoulos |
SESSION: Numerical Techniques for Modelling and Simulation
Chair: F.Topalis, D.A.Karras
System-level simulation results of UMTS networks with smart antennas |
Ramón Martínez-Rodríguez-Osorio, Leandro de Haro Ariet |
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Applications of the Malliavin.Calculus of Bismut type without probability |
Remi Leandre |
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Novel DCA algorithms for efficient Channel Assignment in Cellular Communications and their evaluation through a generic Java Simulation System |
P.M.Papazoglou, D.A.Karras, R.C.Papademetriou |
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Using simulation and symbolic computing in linear programming |
Silviu Guiasu |
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Simulation Analysis for the Bullwhip Effect in Supply Chain Model |
Kun-Lin Hsieh, Yan-Kwang Chen |
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Simulation study in consolidated transportation |
Euiseok Byeon |
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A comparison of layouts of reefer containers in automated container terminal |
Hyung Rim Choi, Byung Joo Park, Hae Kyoung Kwon, Dong Ho Yoo, Nam Kyu Park |
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A Simulation Study on Computation and Inference Accuracy of Factor Loadings for Large Data Mines |
Chih-Chien Yang, Liang-Ting Tsai |
SESSION: Advanced Optimization Algorithms
Chair Martti Forsell, Kaisa Miettinen.
Optimum LCC of the k-out-of-n Parallel Redundancy System |
Sherif Sabry Issa |
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Global optimal solution of rendezvous problem using a hybrid approach |
Reza Esmaelzadeh, Abolghasem Naghash, Mehdi Mortazavi |
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From the Magic Square to the Optimization of Networks of AGVs and from MIP to an Improved Hybrid Tabu-Genetic Optimization Algorithm |
Jose Barahona da Fonseca |
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Advances in c-based parallel design of MP-SOCs |
Martti Forsell |
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A Parameter-less Evolution Strategy for Global Optimization |
Lino Costa |
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Weight Parameters Optimization to Get Maximum Constancy in High Dimensional Model Representation |
Metin Demiralp |
Sunday, September 24, 2006
SESSION: Estimation and Identification methods
Chair: F.Topalis, F.-K. Benra
The Impact of Market Knowledge on the Innovation Process of Slovenian Firms |
Majda Bastic, Gabrijela Leskovar-Spacapan |
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Parameter Estimation Using The Measure Of Symmetric Cross Entropy Divergence Measure |
Aladdin Shamilov, Yeliz Mert Kantar, Ilhan Usta |
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Determining Probability Distribution by Minimum Cross Entropy Method |
A Shamilo C.Giriftinoglu I.Usta Y.M. Kantar |
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Adding fractal dimension as textural feature for Content Base Image Retrieval |
Radu Dobrescu Matei Dobrescu Loretta Ichim |
SESSION: Optimization Algorithms and Optimization Strategies
Chair: Kaisa Miettinen, Kun-Lin Hsieh
IND-NIMBUS Software for Multiobjective Optimization |
Vesa Ojalehto, Marko M. Mäkelä and Kaisa Miettinen |
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Optimized Mapping for enchancing the operation parallelism in Coarse-Grained Reconfigurable Arrays |
Gregory Dimitroulakos, Michalis Galanis, Costas Goutis |
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Optimization of processes using the Eficus solution |
Nadja Damij |
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Optimum synthesis of mechanisms for path generation using a new curvature based – deflection based objective function |
Soheil Damangir; Ghazaleh Jafarijashemi; Mohammadhossein Mamduhi; Hassan Zohur |
2nd WSEAS Intern. Symposium on GRID COMPUTING
Chair: Serena Pastore, Shlomit Pinter
Data and Code Integrity in Grid Environments |
Rachel Akimana and Olivier Markowitch |
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Study on architecture of SMT-MG |
Li Chunquan, Yu Tao, Zhou Dejian |
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Possibilities of Diminishing the Distortions Introduced by Superior Harmonics of Electric Current |
Marcel Ionel, Mihail-Florin Stan, Valentin Dogaru-Ulieru, Octavian Marcel Ionel |
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Internet technologies and the grid paradigm: designing a custom environment for web services based applications |
Serena Pastore |
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Distributed Modelling and Simulation for collaborative E-science in Grid Infrastructure |
Peter Kurdel, Jolana Sebestyénová |
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Grid meets sensors, sensors meet grid |
Francesco Lelli, Gaetano Maron, S. Orlando and Shlomit Pinter |
SESSION: Computational Engineering in Systems Applications
Chair: F. Parandin, Enn Tyugu
Calculation and simulation of passive Q-switching diode laser parameters |
M. M. Karkhanehchi and F. Parandin |
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Simulation of Atmospheric Overvoltages on 400kV Power Lines in Transmission System |
Martin Mucha, Žaneta Eleschová, Anton Belá, František Janíek, Peter Szathmáry |
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Numerical simulation of a catalytic distillation column for ethyl acetate production |
A. Arpornwichanop, Y. Somrang, C. Wiwittanaporn |
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Fatigue of car drivers - detection and classifacation based on the experiments on car simulators |
Petr Bouchner, Roman Pieknik, Stanislav Novotny, Jan Pekny, Michal Hajny, Claudia Borzova |
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Business Process Modelling Using Activity Table Technique |
Nadja Damij, Janez Grad |
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Extensible Multipurpose Simulation Platform |
Enn Tyugu |