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作者： Aly, Gamal M. El-Nadi, Nabeel M. Fayed, Zaki T. Faheem, Hossam M. Dept. of Comp. and Control Systems Ain Shams University Faculty of Engineering Cairo Egypt Information Technology Institute Cairo Egypt Department of Computer Science Ain Shams University Fac. of Comp. and Info. Science Cairo Egypt

This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces task's execution time by analyzing multiple parts of the image concurrently. The architecture constitutes a distinctive type of single-instruction stream, multiple-data stream machine that is built around content-addressable associative memory slabs, that allow parallel access of multiple memory words. The basic building block of this architecture is a one-pixel processing element, which can perform the standard load (data acquisition) function and also contains some special comparison logic to enable its content to be compared with an external data. Several image processing operations are implemented in parallel, among them: component labeling, size filtering, pattern centralization, and pattern recognition. The proposed novel architecture can label specific regions into the image and isolate them intelligently. It is also capable of storing templates that may be considered as references for similar cases. The system is able to perform learning process and extract features from several input patterns and store the reference pattern in a slice. Moreover, the system is capable of comparing an input image with a pre-stored template during recognition process. The proposed architecture is of interest because it speeds up the recognition process and helps radiology specialists to write their reports confidently.

关键词： Ultrasonic imaging

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Texture modelling by optimal gray scale structuring elements using morphological pattern spectrum

Texture modelling by optimal gray scale structuring elements...

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International Conference on Pattern Recognition

作者： A. Asano M. Miyagawa M. Fujio Depatment of Mathematical and Information Sciences Faculty of Integrated Arts and Sciencese Hiroshima University Higa Hiroshima Japan Department of Control Engineering and Science Faculty of Computer Science and systems Engineering Kyushu institute of Technology Fukuoka Japan

ISBN: (纸本)0769507506

Proposes a texture modelling method based on the pattern spectrum. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects contained in an image. Our method is based on the idea of obtaining a model of the elementary particles that form a texture by optimizing a gray scale structuring element to fit the shape of elementary particles. The optimization method is applied in two stages: the first stage optimizes the extent of the structuring element and the second optimizes the pixel values in the extent.

关键词： Shape Optimization methods Elementary particles Art Mathematical model Morphology Application software Image texture analysis Pattern analysis control engineering

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An Adaptive Clustering Method of the Cross-Sectional Mean Void Fraction Signals of Gas-Liquid Two-Phase Flow

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IFAC Proceedings Volumes 2000年第15期33卷 633-638页

作者： Katsuhiro Inoue Kousuke Kumamaru Kotohiko Sekoguchi Dept. of Control Eng. and Science Faculty of Computer Science and Systems Eng. Kyushu Institute of Technology Iizuka Fukuoka 820-8502 Japan. Polytechnic College Kagawa 3203 Gungechou Marugame Kagawa 763-0093 Japan.

An algorithm derived from the mixture probability algorithm has been constructed by using the autoregressive model(AR) with bias component to analyze the cross-sectional mean void fraction signals. However in the algorithm with a maximum likelihood estimates, equations for parameter estimation were very complicated. So in this paper, we modified the mixture probability algorithm and proposed new algorithm based on a stochastic Newton method. The effectiveness of our method is confirmed by applying ones to classify the crosssectional mean void fraction signals of gas-liquid two-phase flow.

关键词： Clustering AR-Model Stochastic Newton Method Mixture Probability Algorithm Gas-Liquid Two-Phase Flow

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Self-Tuning PID controllers Based on Dynamics Inversion Method

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IFAC Proceedings Volumes 2000年第4期33卷 167-172页

作者： Vladimír Bobál Petr Dostál Jiří Macháček Miluše Vitečková Department of Automatic Control Faculty of Technology Zlin Brno University of Technology nám. TGM 275 762 72 Zlin Czech Republic Phone Fax: +420 67 721 1521 Department of Process Control and Computer Techniques University of Pardubice nám. Čs. Legií 565 532 10 Pardubice Czech Republic Department of Control Systems and Instrumentation Faculty of Mechanical Engineering Technical University of Ostrava 17. Listopadu 15 708 33 Ostrava-Poruba Czech Republic

A self – tuning PID controller algorithm has been derived in this paper. The process is identified by the regression (ARX) continuous – time model using the recursive least squares method (RLSM) with applied directional forgetting. The recursive parameter estimates of the continuous – time model (differential equation) are used to synthesis the PID controller. controller synthesis is designed on the basis of a dynamics inversion method. This method allows the tuning of standard analog and digital controllers for chosen types of controlled processes without or with time delay. The algorithm is suitable for the automatic setting of analog and digital PID controllers for deterministic processes or the adaptive control of stochastic and nonlinear processes. The analog modification PID controller has been verified by computer simulation.

关键词： continuous – time ARX model recursive least squares inverse dynamics control PID control self-tuning control

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Frequency domain analysis of B-spline interpolation

Frequency domain analysis of B-spline interpolation

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Z. Mihajlovic A. Goluban M. Zagar Department of Electronics Microelectronics Computer and Intelligent Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processing. The presented analysis requires careful usage of continuous and discrete representation of B-spline. Emphasis is given to the important difference between B-spline interpolation and approximation. The difference is shown through frequency domain analysis, so we derive frequency responses of the B-spline interpolation and approximation. We conclude by demonstrating the use of several reconstruction filters and appropriate gradient estimators in volume rendering. Exact reconstruction in volume visualization is very important in many industrial applications, such as material cavity control.

关键词： Frequency domain analysis Spline Interpolation Image reconstruction Convolution Filters Polynomials Data visualization Frequency response Microelectronics

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Adaptive real-time control of a Christmas tree using a novel signal processing approach

Adaptive real-time control of a Christmas tree using a novel...

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American control Conference (ACC)

作者： J. Hu H.R. Wu C.T. Chou M. Verhaegen D. Westwick G. Nijsse School of Computer Science and Software Engineering Clayton Australia Control Laboratory Faculty of Information Technology and Systems Delft University of Technnology Delft Netherlands

The LMS algorithm forms the core of a number of adaptive control schemes. It has on one hand provided certain degree of robustness to these algorithms but on the other hand its convergence rate is notoriously slow. We propose a method to initialize the LMS algorithm which dramatically shortens its adaptation period. We also prove that under certain condition this initialization can be computed without explicit knowledge of either the reference or noise spectrum. Although the work is illustrated using the filtered-X scheme, this idea can also be applied to other similar schemes. Two successful experiments starting from black-box identification to real-time control have verified the effectiveness of this idea.

关键词： Programmable control Adaptive control Adaptive signal processing Least squares approximation Signal processing algorithms control systems Testing Active noise reduction Noise cancellation Optimal control

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The B-spline interpolation in visualization

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Journal of Computing and Information Technology 1999年第3期7卷 245-253页

作者： Mihajlović, Željka Goluban, Alan Department of Electronics Microelectronics Computer and intelligent Systems Faculty of Electrical Engineering arid Computing University of Zagreb Unska 3 Zagreb10 000 Croatia Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing University of Zagreb Unska 3 Zagreb10 000 Croatia

The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty presented in this paper is B-spline interpolation in the volumetric space. We show that this approach is better than currently used methods. We also present a hybrid approach, analyze this approach in frequency domain and compare it to B-spline interpolation. To enhance the quality during the volume visualization process it is important to enhance the quality of the reconstruction. It is of crucial importance to explore different undesired effects. If better reconstruction is performed the more accurate result of volume visualization process is achieved.

关键词： Volume rendering

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Detection Filter Design in Uncertain Linear systems: Application of The Generalized Observer Scheme

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IFAC Proceedings Volumes 1999年第2期32卷 7802-7807页

作者： A. Edelmayer J. Bokor F. Szigeti Systems and Control Laboratory Computer and Automation Institute Hungarian Academy of Sciences Budapest Kende u. 13-17. H-1111 Hungary Department of Control Engineering Faculty of Engineering University of Los Andes Mérida A.p. 11. La Hechicera Venezuela

In this paper the robust fault detection and isolation (FDI) problem in linear systems, which are subjected to multiple faults and time varying system perturbations is discussed. The detection and isolation problem is treated by using algebraic methods and geometric design concepts. The idea of the classical Luenberger observer is generalized in an attempt that residual generators for solving the robust FDI problem can be designed.

关键词： Bilinear systems (c, a)-invariant subspaces luenberger observers matrix lie algebra time varying systems

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A new method on judgement of static stability for the quadruped robot

A new method on judgement of static stability for the quadru...

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IEEE International Conference on systems, Man and Cybernetics

作者： Xuedong Chen K. Watanabe K. Izumi Faculty of Computer Science and System Engineering Graduate School of Science and Engineering USA Department of Advanced Systems Control Engineering Graduate School of Science and Engineering Japan Faculty of Science and Engineering Department of Mechanical Engineering Saga University Honjomachi Saga Japan

A new approach to analysis of robot stability is presented by defining the statically stable area for the foot placement. The proposed approach is applied not only to generate the free gait for a quadruped robot walking in difficult terrain, but also to judge the robot stability. The effectiveness of this method is demonstrated by a practical example.

关键词： Leg Robot kinematics Legged locomotion Foot Stability analysis systems engineering and theory control engineering Mechanical engineering

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Signal separation of background EEG and spike by using morphological filter

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IFAC Proceedings Volumes 1999年第2期32卷 4301-4306页

作者： Shigeto Nishida Masatoshi Nakamura Akio Ikeda Hiroshi Shibasaki Department of Computer and Communication Engineering Fukuoka Institute of Technology Fukuoka 811-0295 Japan Department of Advanced Systems Control Engineering Saga University Saga 840-8502 Japan Department of Brain Pathophysiology Kyoto University Faculty of Medicine Kyoto 606-8507 Japan

A signal separation method for extracting background electroencephalogram (EEG) from EEG containing spikes was proposed. Morphological filters were designed for extracting spike waveforms, and then the background EEG was obtained by subtracting the detected spike waveforms from the EEG with spike . The proposed method was evaluated by using simulated EEG data, which consisted of a summation of EEG without spike and model waveform of typical spike. The background EEG separated by the method was processed by the automatic background EEG interpretation.

关键词： Signal separation Background EEG Spike Morphological filter Automatic EEG interpretation

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