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Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on

Aug. 30 2000-Sept. 1 2000

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  • KES 2000 Fouth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies [frontmatter]

    Publication Year: 2000, Page(s):0_1 - 0_20
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    Freely Available from IEEE
  • D*+ identification using a neural network method in νμ charged current interactions in the NOMAD experiment

    Publication Year: 2000, Page(s):784 - 787
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (338 KB)

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  • The design of self tuning PID control system based on minimum variance control algorithm

    Publication Year: 2000, Page(s):874 - 877
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    In this paper, we proposes design method of self tuning PID control adapted for uncertainty of plant in control which characteristic change dynamicaly. In proposal method, characteristic polynomial was designed, and minimum variance control on basis of minimization of estimation example was used. Furthermore, self tuning PID control which used stabilization technique proposed. In range of characte... View full abstract»

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  • Risk classifiers and generalized perceptrons

    Publication Year: 2000, Page(s):720 - 723 vol.2
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    Risk classification of financial institutions is analyzed in the case where several risk classes are present. It is shown that the classical scoring systems (simple perceptrons) may no longer provide sufficient storage capacity in this case (no matter which learning algorithm is employed). Hence, a generalized version of the perceptron, which increases the storage capacity, is considered. It is ar... View full abstract»

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  • An intelligent tutoring system for student guidance in Web-based courses

    Publication Year: 2000, Page(s):835 - 839 vol.2
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    In this study, an intelligent agent to guide students throughout the course material on the Internet is defined. The agent will help students to study and learn the concepts in the course by giving navigational support according to their knowledge level. An overlay model is used to model the knowledge levels of students View full abstract»

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  • Soft computing techniques to model the economics of incentives

    Publication Year: 2000, Page(s):716 - 719 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB)

    In this paper, soft computing techniques (SCTs) are applied in economic dynamics modeling. In particular, the topic of the economics of incentives is addressed, focusing on the potentialities of new paradigms, such as cybershares, as well as on the way in which SCTs may be of help to properly insert them into an economic model. For this purpose, a simulation where control parameters are driven by ... View full abstract»

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  • An intelligent agent for content-based indexing and retrieval of documents

    Publication Year: 2000, Page(s):831 - 834 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    The amount of information available on the Internet is currently growing at an incredible rate. However, the lack of efficient indexing is still a major barrier to effective information retrieval on the Web. This paper presents the design of an intelligent agent for content-based indexing and retrieval of relevant documents from a large collection such as the Internet. The agent aims at improving ... View full abstract»

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  • The hierarchical neural network for generating an arbitrary period rhythm

    Publication Year: 2000, Page(s):772 - 775 vol.2
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    The living body has various biological rhythms with different periods. The nervous system is very important as a mechanism and a control for rhythm generation. However, the detailed constitution and the operating algorithm for the system are not well known for neural physiology or anatomy. We thus propose a hierarchical neural network for generating a sine wave with an arbitrary period rhythm. The... View full abstract»

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  • The effect of orientation map accuracy on fingerprint classification using PCA-MSOM

    Publication Year: 2000, Page(s):527 - 530 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    Fingerprint classification is an important part of an identification system and there are various approaches for solving this problem. In any pattern classification system the most important part is the feature extraction process. For fingerprints the orientation map is the most common and promising feature to be used for classification. Two different orientation map extraction algorithms are comp... View full abstract»

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  • On intelligent human intelligible routing

    Publication Year: 2000, Page(s):712 - 715 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    Presents a human-intelligible approach to the solution of Internet routing problems. This paper suggests a user-friendly dialogue in the definition of customer choices as a compromise between their preferences and temporary Internet abilities. Such a compromise arises in the comparison of customer needs for timely, price-affordable, secure and safe Internet transactions with the multi-variant, add... View full abstract»

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  • Web server future planning decision analysis-fuzzy linguistic weighted approach

    Publication Year: 2000, Page(s):826 - 830 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    In this paper, a fuzzy weighted approach is used to solve the multi-criteria decision making problem in a Web server system. The assessments of the Web server by Web administrators are assigned using linguistic terms. The overall assessments of alternatives, with respect to every criteria, are allowed by different weights using a symmetrical triangular fuzzy number with fixed interval confidence. ... View full abstract»

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  • A robust knowledge-based technique for ischemia detection in noisy ECGs

    Publication Year: 2000, Page(s):768 - 771 vol.2
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (252 KB)

    In cases where the signal-to-noise ratio (SNR) in ECGs is very poor, the correct definition of characteristics such as the isoelectric line and the J-point (beginning of the ST segment) is difficult. Inaccurate definition of those ECG characteristics can lead an automated ischemia detector to an incorrect diagnosis. We propose a method capable of extracting from noisy long duration ECG recordings ... View full abstract»

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  • The genetic algorithm method for multiple depot capacitated vehicle routing problem solving

    Publication Year: 2000, Page(s):520 - 526 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (540 KB)

    Many organizations face the problem of delivering goods from a certain number of warehouses to a number of retail sites using a fleet of vehicles. The multiple depot capacitated vehicle routing problem is mathematical model that closely approximates the problem faced by many of these organizations. Because the problem is NP-hard, requiring excessive time to be solved exactly, we develop a heuristi... View full abstract»

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  • Markov-switching regime for time series prediction

    Publication Year: 2000, Page(s):470 - 474 vol.2
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    We describe in this paper an approach of time series prediction using the Markov switching model to detect changes in the regime. The procedure is based on the inference of unobserved state and the estimation of model parameters. Emphasis is placed on the formulation and specification of the model. The proposed model fits well in-sample and it is able to detect the changes in the regime. A simple ... View full abstract»

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  • Detection of blade contamination in turbine flowmeters using neural networks

    Publication Year: 2000, Page(s):635 - 639 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (340 KB)

    The accumulation of contaminating materials on the rotor blades of a gas turbine flowmeter is a condition of concern to the manufacturers, since it can lead to loss of calibration. Over time, a deposit of tar and heavy oil mixed with sand and dust can build up on the rotor blades, which causes the meter factor to change from its original value of calibration. A novel neural network technique is de... View full abstract»

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  • Flexible query techniques for well-formed XML documents

    Publication Year: 2000, Page(s):708 - 711 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    An increasing number of XML (eXtensible Markup Language) documents available on the World Wide Web have no document type definition (DTD); still, most current query languages for XML rely on the user knowing the DTD when composing queries on XML data. In this paper, a flexible query model for well-formed XML documents without DTDs is outlined View full abstract»

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  • Digital remote-action environment for disabled persons: automatic adaptation of the scrolling time to the user's characteristics and intentions

    Publication Year: 2000, Page(s):822 - 825 vol.2
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    This article deals with a method of automatic adaptation of the scrolling time of the different actions proposed in a man/machine interface called “communicator”. The EDITH project (for Digital Remote-action Environment for Disabled persons), elaborated at the University of Metz, was used as a test-bed to define this method. It is only after the clinical evaluation of the EDITH system ... View full abstract»

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  • An inference mechanism under incomplete knowledge based on rule similarity considering viewpoint

    Publication Year: 2000, Page(s):750 - 755 vol.2
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (444 KB)

    This paper describes a mechanism that uses similarities between rules to obtain an approximate solution when the knowledge stored in the problem-solving system is incomplete. When the knowledge base does not contain rules needed to solve a problem, the problem is solved by applying similar rules. The similarities between rules are measuring considering the circumstances of the problem. A large-sca... View full abstract»

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  • Optimising a neural tree classifier using a genetic algorithm

    Publication Year: 2000, Page(s):848 - 851 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB)

    This paper documents experiments performed using a GA to optimise the parameters of a dynamic neural tree model. Two fitness functions were created from two selected clustering measures, and a population of genotypes, specifying parameters of the model were evolved. This process mirrors genomic evolution and ontogeny. It is shown that the evolved parameter values improved performance View full abstract»

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  • Prospects for clinical decision support in breast cancer based on neural network analysis of clinical survival data

    Publication Year: 2000, Page(s):764 - 767 vol.2
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB)

    The paper illustrates the potential contributions of neural networks to a clinical decision support framework for prognosis or for prediction of therapy response using real breast cancer data. Clinical data poses special problems for training of neural networks due to the inherently limited information available in biological systems. Moreover, in breast cancer and many other applications, the pro... View full abstract»

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  • Genetic algorithm behaviour in the multi-criteria optimisation task

    Publication Year: 2000, Page(s):514 - 519 vol.2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (532 KB)

    The study investigates genetic algorithm behaviour. A hypothesis is suggested which states that the genetic algorithm can be used not only for finding a single global optimum point but also for determining a whole parameter region. Two multi-criteria optimisation tasks are solved, with the behaviour of three different real number genetic algorithms being compared in the solution process. Real numb... View full abstract»

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  • Solutions on fuzzy diagnosis by inverse process with natural language input

    Publication Year: 2000, Page(s):499 - 502 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    Several kinds of diagnosis techniques based on the kinetic or statistical model of a nuclear plant have already been utilized in operation. Rule-based approaches have also been proposed to realize a flexible diagnostic method by using fuzzy sets, which consider the rules describing the relationship between the cause and symptom of the failures. These might be able to infer the failure by modus tol... View full abstract»

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  • Design of a distributed neuro-genetic learning architecture

    Publication Year: 2000, Page(s):612 - 615 vol.2
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    Discusses a software application, called the GANN (Genetic Algorithm for Artificial Neural Networks) simulator, which is required to conduct experiments using genetic neural network (GNN) techniques. In particular, progression from the initial investigations into artificial neural networks (ANNs) and genetic algorithms (GAs) to the specific topic of GNNs is provided. The purpose of this applicatio... View full abstract»

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  • Non-linear control with neural networks

    Publication Year: 2000, Page(s):868 - 873 vol.2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (420 KB)

    This paper is concerned with a non-linear self-tuning tracking problem using back-propagation (BP) neural learning and system identification techniques. Traditional self-tuning adaptive control techniques can only deal with linear systems or special nonlinear systems. BP neural networks have the capability to learn arbitrary non-linearities and show great potential for adaptive control application... View full abstract»

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  • Hierarchic function approximation in kd-Q-learning

    Publication Year: 2000, Page(s):466 - 469 vol.2
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    Function approximation is an important issue in reinforcement learning for control problems with continuous state space. A new learning algorithm is presented that approximates the quality function with a hierarchic discretization structure called kd-tree. It learns at the beginning for each experienced state transition simultaneously on several hierarchic levels representing different spatial gen... View full abstract»

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