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Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'05)

Date 16-18 Aug. 2005

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Displaying Results 1 - 25 of 60
  • Proceedings. Sixth International Conference on Computational Intelligence and Multimedia Applications

    Publication Year: 2005
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  • Sixth International Conference on Computational Intelligence and Multimedia Applications - Title Page

    Publication Year: 2005, Page(s):i - iii
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  • Sixth International Conference on Computational Intelligence and Multimedia Applications - Copyright Page

    Publication Year: 2005, Page(s): iv
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  • Sixth International Conference on Computational Intelligence and Multimedia Applications - Table of contents

    Publication Year: 2005, Page(s):v - x
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  • General Chair's message

    Publication Year: 2005, Page(s): xi
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  • Committees

    Publication Year: 2005, Page(s): xii
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  • A multi-agent system to stream multimedia to handheld devices

    Publication Year: 2005, Page(s):2 - 10
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (144 KB) | HTML iconHTML

    The concept of mobile computing and its associated content is a topic receiving growing attention. The computing paradigm has evolved since the days of the mainframe system of previous decades to the laptop and handheld devices of today. These new systems require purpose-built applications, as users have ever increasing expectations of computational capabilities while on the move. Today, it is exp... View full abstract»

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  • Mixed heuristic algorithm for intelligent string matching for information retrieval

    Publication Year: 2005, Page(s):11 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB) | HTML iconHTML

    Text searching problem has been tackled by variety of traditional string matching approaches over the years. This paper proposes an intelligent text searching technique for information retrieval using probabilistic approach, called mix heuristic algorithm (MHA). In the proposed algorithm, an intelligent programming approach using logical operators has been used that makes this algorithm intelligen... View full abstract»

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  • VirtuaLatin - towards a musical multi-agent system

    Publication Year: 2005, Page(s):17 - 22
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (144 KB) | HTML iconHTML

    This project investigates the use of multi-agent systems for musical accompaniment. It details the construction and analysis of a percussive agent, able to add timbales accompaniment to pre-recorded salsa music. We propose, implement and test a novel representational structure directed towards Latin music, and develop a music listening system designed to build up these high level representations. ... View full abstract»

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  • Applying text mining and machine learning techniques to gene clusters analysis

    Publication Year: 2005, Page(s):23 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (152 KB) | HTML iconHTML

    Genomic data clustering is receiving growing attention. However, finding the biological meaning of the clusters is still manual work, which becomes very difficult as the amount of data grows. In this paper, the authors present a few experiments applying text mining and machine learning techniques to help associate meaning to gene clusters. These experiments were applied to paper abstracts and inte... View full abstract»

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  • Digital modulation identification by wavelet analysis

    Publication Year: 2005, Page(s):29 - 34
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (128 KB) | HTML iconHTML

    There is a need to determine the modulation type of an incoming signal. This paper proposes the use of the wavelet transform (WT) for modulation identification of digital signals without requiring any priori knowledge. The identifier consists of inter-class and intra-class identification. Different features have been used for different signals to increase the number of identification types and imp... View full abstract»

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  • A neural network prediction model for a psychiatric application

    Publication Year: 2005, Page(s):36 - 40
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (81 KB) | HTML iconHTML

    This paper presents a unique application of artificial neural networks used to predict the successful or unsuccessful completion of special education programming for students diagnosed with serious emotional disturbance (SED). In this study, as is common in medical applications, there is an insufficient amount of input data for training and testing the neural network. Bootstrapping and noisy repli... View full abstract»

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  • Artificial neural network based automatic cardiac abnormalities classification

    Publication Year: 2005, Page(s):41 - 46
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (128 KB) | HTML iconHTML

    Automatic detection and classification of cardiac arrhythmias from a limited number of ECG signals is of considerable importance in critical care or operating room patient monitoring. We propose a method to accurately classify the heartbeat of ECG signals through the artificial neural networks (ANN). Feature sets are based on Heartbeat intervals, RR intervals and Spectral entropy of the ECG signal... View full abstract»

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  • A lecture allocation support system for elective subjects-based curricula

    Publication Year: 2005, Page(s):48 - 53
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    This paper proposes a lecture allocation support system based on users' utilities in elective subjects. Elective subjects systems are employed in many universities and colleges and students select subjects based on their interests and preferences. Generally, educational institutions (universities) determine members of elective subjects based on only one simple rule, such as the order of grade, ran... View full abstract»

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  • Fuzzy image processing in quality control application

    Publication Year: 2005, Page(s):55 - 60
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (168 KB) | HTML iconHTML

    Today, a visual inspection of the repair coating quality in can ends of metal containers for fish food is carried out. This visual inspection is a manual and non-destructive testing procedure. In order to improve this quality control, we have developed an automated inspection system, based on machine vision, which assesses the repair coating quality of each can end with a fuzzy system. In this wor... View full abstract»

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  • Genetically evolving higher order neural networks by direct encoding method

    Publication Year: 2005, Page(s):62 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    There are two major ways of encoding a neural network into a chromosome, as required in design of a genetic algorithm (GA). These are explicit (direct) and implicit (indirect) encoding methods. The proposed direct encoding method to design higher order neural networks (HONN) does not use any known learning algorithm - rather it uses a gradient descent method to minimize the mean output error. The ... View full abstract»

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  • On the approximation of Markov chains to determine the probability of extinction of a genotype

    Publication Year: 2005, Page(s):68 - 73
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (144 KB) | HTML iconHTML

    As it is known a precise definition of the Brownian motion involves a measure on the path space, such that it is possible to put the Brownian motion on a firm mathematical foundation. In this paper we refer to an application of asymptotic theory of stochastic differential equations in mathematical genetics. The construction of the Brownian motion as a limit of a rescaled random walk can be general... View full abstract»

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  • A GA-based timing-driven placement technique

    Publication Year: 2005, Page(s):74 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB) | HTML iconHTML

    Deep-sub-micron technology (DSM) of 0.18 micron and below enable the integration of logical circuits having more than 10 million gates. In such a DSM technology, timing constraint has become the dominant factor in the performance of VLSI. This paper discusses a novel timing driven placement technique through genetic algorithm. The proposed algorithm has a two-level hierarchical structure consistin... View full abstract»

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  • A machine learning approach for automatic performance of a trumpet

    Publication Year: 2005, Page(s):80 - 85
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB) | HTML iconHTML

    The artificial mouth is a robotic device that simulates a human mouth. It consists of moveable lips and an adjustable air supply. In this study the use of a genetic algorithm to compute air pressure and lip pressure values so that the artificial mouth can correctly play five notes on a trumpet was investigated. The genetic algorithm is discussed. Results from experimentation showed solutions being... View full abstract»

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  • Parallel Gray code optimization for high dimensional problems

    Publication Year: 2005, Page(s):86 - 91
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (90 KB) | HTML iconHTML

    A parallel Gray code optimization (PGCO) algorithm is proposed in this paper. The Gray code optimization (GCO) shares some similarities with genetic algorithm (GA) and evolutionary programming (EP). It uses a binary representation, but the only operator is the mutation of a number of bits. The evolving strategy utilizes the adjacency property of the Gray code. By controlling how many bits to flip,... View full abstract»

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  • Performance analysis of grinding process via particle swarm optimization

    Publication Year: 2005, Page(s):92 - 97
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (93 KB) | HTML iconHTML

    Optimization is necessary for the control of any process to achieve better product quality, high productivity with low cost. The grinding of silicon carbide is not an easy task due to its low fracture toughness, making the material sensitive to cracking. The efficient grinding involves the optimal selection of operating parameters to maximize the material removal rate (MRR) while maintaining the r... View full abstract»

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  • Performance analysis of embedded lossless wavelet based successive partition zero coder for ECG signal coding

    Publication Year: 2005, Page(s):99 - 104
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB) | HTML iconHTML

    Wavelets have emerged as powerful tools for signal coding. In this paper embedded lossless Wavelet based coder with hybrid bit scanning is used for ECG signal coding. Experimental results show that this algorithm outperforms than other coders such as Djohn, EZW, SPIHT, LJPEG etc exits in the literature in terms of coding efficiency by successive partitioned the wavelet coefficients in the space fr... View full abstract»

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  • MRI image segmentation using unsupervised clustering techniques

    Publication Year: 2005, Page(s):105 - 110
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB) | HTML iconHTML

    In medical image visualization and analysis, segmentation is an indispensable step in the processing of images. MR has become a particularly useful medical diagnostic tool for cases involving soft tissues, such as in brain imaging. The aim of our research is to develop an effective algorithm for the segmentation of the MRI images. This paper discusses the use and implementation of fuzzy C means cl... View full abstract»

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  • An integrated platform for distributed knowledge-based production scheduling

    Publication Year: 2005, Page(s):111 - 116
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (176 KB) | HTML iconHTML

    Production scheduling is a complex decision-making process that is becoming more important than ever in competitive markets today. However, effective production scheduling remains a very challenging task, and the current production scheduling systems tend to be inflexible and expensive. Although domain knowledge and information are very important to scheduling decisions, scheduling systems usually... View full abstract»

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  • Fuzzy-dynamic matrix pH control for treatment of dye wastewater plant

    Publication Year: 2005, Page(s):118 - 123
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (120 KB) | HTML iconHTML

    This paper presents an experimental application of fuzzy-dynamic matrix control (FDMC) to study the coagulation process of wastewater treatment in a dye plant. Also this study includes a series of tests in which an FDMC was used for pH control. The performance results of the FDMC controller are compared with the results obtained by using conventional PID algorithm. Experimental results show that t... View full abstract»

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