By Topic

International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)

Date 28-30 Nov. 2005

Go

Filter Results

Displaying Results 1 - 25 of 195
  • International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce - Cover

    Publication Year: 2005, Page(s): c1
    Request permission for commercial reuse | PDF file iconPDF (129 KB)
    Freely Available from IEEE
  • International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce - Title

    Publication Year: 2005, Page(s):i - iii
    Request permission for commercial reuse | PDF file iconPDF (233 KB)
    Freely Available from IEEE
  • International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce - Copyright

    Publication Year: 2005, Page(s): iv
    Request permission for commercial reuse | PDF file iconPDF (53 KB)
    Freely Available from IEEE
  • International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce - Table of contents

    Publication Year: 2005, Page(s):v - xix
    Request permission for commercial reuse | PDF file iconPDF (223 KB)
    Freely Available from IEEE
  • Message from the Program and Organizing Chair of CIMCA

    Publication Year: 2005, Page(s): xx
    Request permission for commercial reuse | PDF file iconPDF (157 KB) | HTML iconHTML
    Freely Available from IEEE
  • Message from the Program and Organizing Chair of IAWTIC

    Publication Year: 2005, Page(s): xxi
    Request permission for commercial reuse | PDF file iconPDF (159 KB) | HTML iconHTML
    Freely Available from IEEE
  • International Program Committee and Liaisons of CIMCA

    Publication Year: 2005, Page(s): xxii
    Request permission for commercial reuse | PDF file iconPDF (176 KB)
    Freely Available from IEEE
  • International Program Committee and Liaisons of IAWTIC

    Publication Year: 2005, Page(s): xxv
    Request permission for commercial reuse | PDF file iconPDF (180 KB)
    Freely Available from IEEE
  • Abstracts

    Publication Year: 2005, Page(s): xxix
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (82 KB) | HTML iconHTML

    Presents abstracts of papers presented at the conference proceedings. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Intelligent Text Extraction from PDF Documents

    Publication Year: 2005, Page(s):2 - 6
    Cited by:  Papers (4)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1716 KB) | HTML iconHTML

    In recent years, PDF has become the de-facto standard for the exchange of print-oriented documents on the Web. This includes many business documents such as financial reports, newsletters and patent applications, and there are many commercial applications that require data to be extracted from these documents and processed by computer systems. A number of products currently exist on the market tha... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Building an Adaptive Hierarchy of Clusters for Text Data

    Publication Year: 2005, Page(s):7 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (274 KB) | HTML iconHTML

    Text clustering has been recognized as an important component in Web-based applications. Clustering data on a hierarchical structure enables exploring data on different levels of granularity, providing a more intuitive view that is close to the way humans view the world. Self-organizing map (SOM) based models have been found to have certain advantages for clustering sizeable text data. However, cu... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Web Document Clustering using Semantic Link Analysis

    Publication Year: 2005, Page(s):13 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (203 KB) | HTML iconHTML

    Searching and discovering the relevant information on the Web have always been challenging research areas. Web document clustering is a promising technique in preparing a huge collection of Web documents suitable for Web search engines. This paper proposes a semantic document clustering approach to categorize Web documents in a semantic manner. First, the formal methods and algorithms are introduc... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Using Cross-Language Information Retrieval Methods for Bilingual Search of the Web

    Publication Year: 2005, Page(s):19 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (155 KB) | HTML iconHTML

    English content dominates the Web, while the number of Web users speaking other languages is increasing rapidly. This paper describes a system that uses various cross-language information retrieval methods to provide search engines with capability of automatic search in a local language as well as English even when the user makes search queries only in the local language. The system would be usefu... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Genetic Algorithms for Minimal Fuel Consumption of Electric Propulsion Space Vehicles

    Publication Year: 2005, Page(s):25 - 30
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB) | HTML iconHTML

    This paper demonstrates the utility of genetic algorithms (GAs) to determine a near optimal control strategy for electric propulsion systems. The various strategies implemented are simple GA, simple GA with elitism and micro GA. The accuracy and performance of the control strategy obtained using these methods are discussed along with their detailed description. This work inherently validates the u... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Efficient Finite Word Length Determination For Neural Networks Implementation

    Publication Year: 2005, Page(s):31 - 35
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (185 KB) | HTML iconHTML

    Most of the artificial neural networks (ANN) based applications are implemented on FPGAs using fixed-point arithmetic. The problem is to achieve a balance between the need for numerical precision, which is important for network accuracy, and the cost of logic areas, i.e. FPGA resources. In this paper we propose a genetic algorithm based methodology permitting the optimization of the FPGA resources... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Heuristic Immune-Genetic Algorithm for Multimodal Function Optimization

    Publication Year: 2005, Page(s):36 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (206 KB) | HTML iconHTML

    To avoid premature convergence and guarantee the diversity of the population, a heuristic immune-genetic algorithm (HIGA) is proposed. Rapid immune response (secondary response), adaptive mutation and density operators in the HIGA are emphatically designed to improve the searching ability, greatly increase the converging speed, and avoid locating the local maxima due to the premature convergence. ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multi-Valued Function Chains in Evolutionary Algorithm

    Publication Year: 2005, Page(s):41 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (207 KB) | HTML iconHTML

    The choice of function modelling methods for the computer aided engineering/computer aided design tools is based on numerous criterions. The possibility to use evolutionary algorithms to optimisation in design electronic circuits arouses the large interest. Multi-valued function chains (MFC) as the representation of individuals in evolutionary algorithm is presented in the paper. The MFC gives pos... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database

    Publication Year: 2005, Page(s):47 - 54
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (380 KB) | HTML iconHTML

    A method of association rule mining using genetic network programming (GNP) is proposed to improve the performance of association rule extraction from dense database. Rule extraction is done without identifying frequent itemsets used in a priori-like methods. Association rules are represented as the connections of nodes in GNP. The proposed mechanisms calculate measurements of association rules di... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Constructing university timetable using constraint satisfaction programming approach

    Publication Year: 2005, Page(s):55 - 60
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB) | HTML iconHTML

    The timetabling problem consists of a set of subjects to be scheduled in different timeslots, a set of rooms in which the subjects can take place, a set of students who attend the subjects, and a set of subjects satisfied by rooms and required by timeslots. The heart of the problem is the constraints that exist as regulations within each resource and between resources. There are various solution a... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • M-GA: A Genetic Algorithm to Search for the Best Conditional Gaussian Bayesian Network

    Publication Year: 2005, Page(s):61 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB) | HTML iconHTML

    The search of optimal Bayesian network from a database of observations is NP-hard. Nevertheless, several heuristic search strategies have been found to be effective. We present a new population-based algorithm to learn the structure of Bayesian networks without assuming any ordering of nodes and allowing for the presence of both discrete and continuous random variables. Numerical performances of o... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Can Ensemble Method Convert a 'Weak' Evolutionary Algorithm to a 'Strong' One?

    Publication Year: 2005, Page(s):68 - 74
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (205 KB) | HTML iconHTML

    The contribution of the paper is bringing ensemble method to the field of evolutionary computation. The conceptive model of evolutionary algorithm ensemble is introduced, in which a collection of evolutionary algorithms are designed to solve the same problem and each interact with others. Two implementation methods are invented: data-based ensemble and model-based ensemble. In data-based ensemble,... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Neural System for in silico Drug-Drug Interaction Screening

    Publication Year: 2005, Page(s):75 - 80
    Cited by:  Papers (95)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    Drug usage is always associated with risk drugs interactions are considered to be one of the potential sources of undesirable action of drugs. Such a situation enforced U.S. Food and Drug Administration (FDA) as well as European Medicines Agency (EMEA) to issue a guidance for industry and researchers for in vivo and in vitro drug interactions studies. The authors proposed neural networks based in ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles

    Publication Year: 2005, Page(s):81 - 86
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB) | HTML iconHTML

    Neural networks appear to be a promising tool to solve the so-called inverse problems focused to obtain a retrieval of certain physical properties related to the radiative transference of energy. In this paper the capability of neural networks to retrieve the temperature profile in a combustion environment is proposed. Temperature profile retrieval will be obtained from the measurement of the spec... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Detectioning of an Asynergy Using the Neural Network

    Publication Year: 2005, Page(s):87 - 91
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (536 KB) | HTML iconHTML

    Recently in medical fields, various imaging diagnostic technologies have been studied and used in practical. It is necessary to develop an automatic diagnosing processing system for detecting and diagnosing the internal organs. By the way, cardiac disease is one of the most common cause of death. Therefore, it is necessary to measure cardiac function quantitatively. The processing images are X-ray... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Prediction of Delays in Public Transportation using Neural Networks

    Publication Year: 2005, Page(s):92 - 97
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (662 KB) | HTML iconHTML

    The project the authors of this paper are involved in is titled "system for intelligent realtime timetable optimization and monitoring". The objective is to develop a system being able to use delay-predictions for real-time-delay-monitoring, and in the long term, for a timetable-optimization in the range of train networks. The presented paper deals with the part of the system responsible for proce... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.