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15th World Congress of the International Federation of Automatic Control, 2002

作者： Yu, H. Deng, M. Yang, T.C. Owens, D.H. School of Engineering and Computer Science Exeter University ExeterEX4 4QF United Kingdom School of Engineering and Information Technology Sussex University BrightonBN1 9QT United Kingdom Department of Automatic Control and Systems Sheffield University SheffieldS1 3JD United Kingdom

ISBN: (纸本)9783902661746

Most of iterative learning control (ILC) methods requires that the relative degree of the plant is less than 2 for a linear system or the plant is passive for a non-linear system. A new model reference parametric adaptive iterative learning control using the command generator tracker (CGT) theory is proposed in this paper. The method can be applied to control a plant with a higher relative degree and it only requires to iteratively adjust nm + 2 parameters for an SISO plant. Therefore, the ILC control system is very simple. The proposed method is in the spirit of simple adaptive control which has received intensive researches during past two decades. Simulation results show the effectiveness and usefulness of the proposed method. Copyright © 2002 IFAC.

关键词： Model reference adaptive control

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Evaluation of plane bending fatigue damage in metallic plates using the thin-film flux-gate magnetic sensor

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AIP Conference Proceedings 2002年第1期615卷 1553-1560页

作者： M. Oka T. Yakushiji Y. Tsuchida M. Enokizono 1Department of Computer and Control Engineering Oita National College of Technology 1666 Maki Oita 870-0152 Japan 2Department of Mechanical Engineering Oita National College of Technology 1666 Maki Oita 870-0152 Japan 3Faculty of Engineering Oita University 700 Dannoharu Oita 870-1192 Japan

To estimate the amount of fatigue damage in metallic plates such as steel and stainless steel, we have investigated the relationship between the amount of plane bending fatigue damage and residual magnetization. The magnetic flux density in the Z component (Bz) at 1 mm above a specimen caused by residual magnetization is measured by using a thin-film flux-gate magnetic sensor. From the results of our experiment, the magnetic flux density has clear dependence on the increase of bending stress and the number of stress cycles in austenitic stainless steel. The distribution of Bz on steel plates is changed by the amount of plane bending fatigue damage. But, the relationship between the change of Bz and the number of stress cycles is not clear in the case of steel plates. In this paper, the relationship between the amount of plane bending fatigue damage and residual magnetization in metallic plates is discussed.

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Fast k-nn image search with self-organizing maps

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International Conference on Image and Video Retrieval, CIVR 2002

作者： Oh, Kun Seok Aghbari, Zaher Kim, Pan-Koo Department of Digital Media Division of Information Technology Kwangju Health College 683-3 Shinchang-dong Kwangsan-ku Gwangju506-701 Korea Republic of Department of Intelligent Systems Graduate School of Information Science and Electrical Engineering Kyushu University 6-10-1 Hakozaki Higashi-Ku Fukuoka812-8581 Japan Department of Computer Engineering Chosun University 375 Seosuk-dong Dong-ku Gwangju501-759 Korea Republic of

ISBN: (纸本)9783540438991

Feature-based similarity retrieval became an important research issue in image database systems. The features of image data are useful in image discrimination. In this paper, we propose a fast k-Nearest Neighbor (k-NN) search algorithm for images clustered by the Self-Organizing Maps algorithm. Self-Organizing Maps (SOM) algorithm maps feature vectors from high dimensional feature space onto a two-dimensional space. The mapping preserves the topology (similarity) of the feature vectors by clustering mutually similar feature vectors in neighboring nodes (clusters). Our k-NN search algorithm utilizes the characteristics of these clusters to reduce the search space and thus speed up the search for exact k-NN answer images to a given query image. We conducted several experiments to evaluate the performance of the proposed algorithm using color feature vectors and obtained promising results. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Nearest neighbor search

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Structure formation, tearing and merging of relativistic electron beam propagating through a laser produced plasma

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AIP Conference Proceedings 2002年第1期611卷 329-339页

作者： T. Taguchi T. M. Antonsen, Jr. C. S. Liu K. Mima Y. Sentoku H. Nagatomo H. Sakagami 1Department of Electrical Engineering Setsunan University Neyagawa Osaka Japan 2Institute for Plasma Research University of Maryland College Park Maryland 3Institute of Laser Engineering Osaka University Suita Osaka Japan 4Department of Computer Engineering Himeji Institute of Technology Himeji Hyogo Japan

Hot electron transport in a high density plasmas has been studied using a two dimensional hybrid code. The results show that the initially cylindrical solid beam evolves into a hollow, annular beam due to the Weibel instability and generates strong magnetic fields on both sides of the annular ring. The annular structure subsequently breaks up into several beamlets due to a mechanism similar to a tearing instability. It is found that the magnetic fields parallel to the direction of beam propagation also grow during the tearing process. These beamlets are attract each other and finally they merged into a single beam which carries a net electric current. The tearing and merging processes have also been analyzed by the hybrid code for a uniform initial condition to determine an asymptotic behaviors of the total number of hot electron beams. We also have performed a three dimensional particle-in-cell (PIC) simulation to compare with the results of 2D hybrid code. It shows that the spatial variation of cold electron density is much more uniform than that obtained by 2D code.

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Adaptive fuzzy controller for a class of nonlinear systems with uncertainty

Adaptive fuzzy controller for a class of nonlinear systems w...

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2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02

作者： Han, Hugang Su, Chun-Yi Murakami, Shuta Department of Information Science Hiroshima Prefectural University 562 Nanatsuka-cho Shobara-shi Hiroshima 727-0023 Japan Department of Mechanical Engineering Concordia University 1455 de Marsonneuve Blvd. W. Montreal Que. H3G 1M8 Canada Department of Computer Science Kyushu Institute of Technology 1-1 Sensui-cho Tobata-ku Kitakyushu 804-8550 Japan

When using the Lyapunov synthesis approach to construct an adaptive fuzzy control system, one important way is to regard the fuzzy systems as approximators to approximate the unknown functions in the system to be controlled. Concerning the unknownness, generally there are two cases: a completely unknown case, and a partly unknown case. However, most of the schemes presented so far have only focused on the former. Clearly, if an unknown function belongs to the latter, the knowledge available about the function should be utilized as much as possible in the development of the control system. In this paper, our goal is to design an adaptive fuzzy controller for a class of nonlinear systems with uncertainty, which can correspond to the either case. Also, we propose a unique way to deal with the uncertainty, i.e., adopt a switching function with an alterable coefficient, which is tuned by adaptive law based on the tracking error.

关键词： Fuzzy control

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Modeling and Analysis of Genetic Algorithms Using Neural Networks

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AIP Conference Proceedings 2002年第1期627卷 365-374页

作者： Jun‐ichi Imai Takeshi Yoshikawa Hiroyuki Shioya Tsutomu Da‐te *Division of Systems and Information Engineering Hokkaido University Kita 13 Nishi 8 Kita‐ku Sapporo 060‐8628 Japan †Department of Computer Science and Systems Engineering Muroran Institute of Technology Mizumoto‐cho 27‐1 Muroran 050‐8585 Japan

Vose’s genetic algorithm model assuming an infinite population is useful for a theoretical analysis. However, it is generally difficult to know transitions of infinite populations. In this paper, we propose a method for modeling genetic algorithms for infinite populations by using neural networks. We use a neural network for estimating deterministic transitions of infinite populations from stochastic data obtained through observing a process of a genetic algorithm for finite populations. Then the trained network approximates a mapping (or a vector field) which characterizes the genetic algorithm. Our method introduces a framework for analyzing genetic algorithms from the viewpoint of neural networks. In this paper, we use a mixture‐of‐experts architecture for modeling and show that an optimization problem, which the genetic algorithm solves, is represented as a combination of some other optimization problems corresponding to expert networks.

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MODEL REFERENCE PARAMETRIC ADAPTIVE ITERATIVE LEARNING CONTROL

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IFAC Proceedings Volumes 2002年第1期35卷 469-474页

作者： H. Yu M. Deng T.C. Yang D.H. Owens School of Engineering and Computer Science Exeter University Exeter EX4 4QF School of Engineering and Information Technology Sussex University Brighton BN1 9QT Department of Automatic Control and Systems Sheffield University Sheffield S1 3JD

Most of iterative learning control (ILC) methods requires that the relative degree of the plant is less than 2 for a linear system or the plant is passive for a non-linear system. A new model reference parametric adaptive iterative learning control using the command generator tracker (CGT) theory is proposed in this paper. The method can be applied to control a plant with a higher relative degree and it only requires to iteratively adjust n m + 2 parameters for an SISO plant. Therefore, the ILC control system is very simple. The proposed method is in the spirit of simple adaptive control which has received intensive researches during past two decades. Simulation results show the effectiveness and usefulness of the proposed method.

关键词： Iterative learning control Adaptive control Strictly positive real Model reference control

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A Method of Medical Image Enhancement Using Wavelet Analysis

A Method of Medical Image Enhancement Using Wavelet Analysis

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2002年第6届信号处理国际会议

作者： Du-Yih TSAI Yongbum LEE Masaru SEKIYA Satoshi SAKAGUCHI Isao YAMADA Department of Radiological Technology School oh Health Sciences Faculty of Medicine Niigata University Asahimachi-dori 2-746 Niigata city Niigata 951-8518 Japan Department of Radiological Technology School oh Health Sciences Faculty of Medicine Niigata University Asahimachi-dori 2-746 Niigata city Niigata 951-8518 Japan Department of Radiological Technology School oh Health Sciences Faculty of Medicine Niigata University Asahimachi-dori 2-746 Niigata city Niigata 951-8518 Japan Department of Information Science Faculty of Engineering Gifu University Yanagido 1-1 Gifu City 501-1193 Japan Department of Electrical and Computer Engineering Gifu National College of Technology Shinsei-cho Motosu-gun. Gifu 501-0495 Japan

This paper presents a wavelet-based method for medical image enhancement. In the proposed method, a transfer function is derived for transferring wavelet coefficients at various multiresolution levels with different weighting values. Applications of the method to digital radiographic images of x-ray chest are shown. Moreover. in order to validate the effectiveness of the proposed method, we compare the results obtained using the wavelet analysis method to that using the conventional fast Fourier transform (FFT) method. The results show that the proposed method is superior to the FFT method in terms of image enhancement.

关键词： image Wavelet A Method of Medical Image Enhancement Using Wavelet Analysis

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Findings from Phase 2 of the SPICE trials

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Software Process: Improvement and Practice 2002年第4期6卷

作者： Ho-Won Jung Robin Hunter Dennis R. Goldenson Khaled El-Emam Department of Business Administration Korea University Anam-dong 5Ka Sungbuk-gu Seoul 136-701 Korea Department of Computer Science University of Strathclyde Richmond Street Glasgow G1 1XH UK Software Engineering Institute Carnegie Mellon University Pittsburgh PA 15213-3890 USA National Research Council Canada Institute for Information Technology Building M-50 Montreal Road Ottawa Ontario Canada K1A OR6

The international SPICE (Software Process Improvement and Capability dEtermination) project was set up to support the development of the ISO/IEC 15504 standard for software process assessment (SPA). The project mounted a set of trials to validate the emerging standard against the goals and requirements defined at the start of the SPICE project and to verify the consistency and usability of its component parts. A considerable number of empirical evaluation studies have been conducted during the Phase 2 SPICE Trials based on ISO/IEC PDTR 15504 (between September 1996 and June 1998). Such an exercise is unprecedented in the software engineering standards community and it provides a unique opportunity for empirical validation. The purpose of this paper is to present major parts of the findings of the empirical studies conducted as part of the SPICE Project during Phase 2 of the SPICE Trials. The topics covered in this paper include (i) investigation into reasons for performing SPAs, (ii) evaluation of the internal consistency of the capability dimension, (iii) use of interrater agreement as a measure of the reliability of assessments, (iv) evaluation of the predictive validity of process capability, (v) evaluation of an exemplar model (Part 5), (vi) identification of factors influencing assessor effort, and (vii) empirical comparison between ISO/IEC PDTR 15504 and ISO 9001. Major lessons learned as well as future research directions are summarized on the strengths and weaknesses of ISO/IEC 15505. Copyright © 2001 John Wiley & Sons, Ltd.

关键词： ISO/IEC 15504 SPICE Trials SPA(Software Process Assessment)

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Type-based useless-variable elimination

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Higher-Order and Symbolic Computation 2001年第2-3期14卷 221-260页

作者： Kobayashi, Naoki Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo 152-8552 Japan

Useless-variable elimination is a transformation that eliminates variables whose values does not affect the result of a computation. We present a type-based method for useless-variable elimination and prove its correctness. The algorithm is a surprisingly simple extension of the usual type-reconstruction algorithm. Our method has several attractive features. First, it is simple, so that the proof of the correctness is clear and the method can be easily extended to deal with a polymorphic language. Second, it is efficient: for a simply-typed λ-calculus, it runs in time almost linear in the size of an input expression. Moreover, our transformation is optimal in a certain sense among those that preserve well-typedness, both for the simply-typed language and for an ML-style polymorphically-typed language.

关键词： Program debugging

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