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World Congress on Intelligent control and Automation (WCICA)

作者： Luxin Yan Tianxu Zhang Sheng Zhong Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

A DSP/FPGA-based parallel architecture oriented to real-time image processing applications is presented. The architecture is structured with high performance DSPs interconnected by FPGA. Within FPGA a FIFO interconnection network and the specific data communication protocol are implemented, which interconnect 3 DSPs (TMS320C6414) effectively. The measured performances in the prototype with the proposed parallel architecture, including inter-DSP data communication performance and system computing capacity, show high data transfer bandwidth (up to 400 Mbytes/s) with low latency as well as high image processing performance, which achieve a good balance for parallel image processing

关键词： Digital signal processing Field programmable gate arrays Parallel architectures Image processing Data communication Computer architecture Multiprocessor interconnection networks Protocols Performance evaluation Prototypes

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Genetic Algorithm Based Constrained control Allocation for Tailless Fighter

Genetic Algorithm Based Constrained Control Allocation for T...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Yong Fan Ji-hong Zhu Jia-qiang Zhu Zeng-qi Sun Department of Computer Science and Technology Tsinghua University Beijing Beijing China National Defence Key Laboratory of Space Intelligent Control Technology Beijing China

A genetic algorithm based optimization approach is proposed for constrained control allocation problem via adjusting the components of output vector and finding a proper vector in the attainable moment set (AMS) autonomously. The basic idea is to minimize the L 2 norm of error between the desired moment and attainable moment using the designing freedom provided by redundant control surfaces. With the constraints of control surfaces, in order to obtain desired performance of aircraft such as stability and maneuverability, the weights of different components are updated by the genetic algorithm, which makes the close-loop system self-adaptation. As a demonstration, application of the proposed approach to the designing of control system for a tailless fighter is discussed. The results show good closed loop performance and validate the proposed intelligent optimization approach of constrained control allocation for flight control

关键词： Genetic algorithms Aerospace control control systems Automatic control Constraint optimization Optimal control Intelligent control space technology Aircraft Actuators

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Research on the intelligent agent of distributed fault diagnose system

Research on the intelligent agent of distributed fault diagn...

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Systems and control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

作者： Bo Chen Changhong Wang Xiue Gao Space Control and Inertial Technology Center Harbin Institute of Technology and the Key Laboratory of Informational science and Engineering of Liaoning Dalian University China Key Laboratory of Informational science and Engineering of Liaoning Dalian University China

ISBN: (纸本)0780393953

The characteristics and composing of fault diagnose intelligent agent technology is discussed. The intelligent agent model, and the structure of monitoring agent, analysis agent, diagnose agent of distributed fault diagnose is also discussed. What's more, the class definition of agent diagnose knowledge and the class definition of diagnose rules is expounded with examples. The tasks of fault diagnose system can be decomposed and assigned easily by the intelligent agent technology, and can improve the diagnose ability of distributed remote fault diagnose expert system, can settle well the inconsistency between the universality and adaptability of diagnose software.

关键词： distributed processing expert systems fault tolerant computing multi-agent systems program diagnostics software agents agent diagnose knowledge analysis agent diagnose agent diagnose rules diagnose software distributed fault diagnose system intelligent a

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Image Denoising Algorithm Based on Neighbouring Thresholding Classification in Wavelet Domain

Image Denoising Algorithm Based on Neighbouring Thresholding...

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2006 8th International Conference on Signal Processing

作者： Jianhua Hou Chengyi Xiong College of Electronic Information Engineering South-Central University for Nationalities Laboratory for State Key Image Processing & Intelligence Control Huazhong University of Science & Technology

This paper proposes a new image denoising method which exploits spatial correlation among image wavelet coefficients and classification *** extending the neighbouring threshold of wavelet coefficients for 1D signal to 2D image case,each coefficient in a subband is classified as "large" or "small" category,according to its corresponding neighbouring *** strategies are implemented to the classified *** results show that although very simple,the performance of the proposed method can be competitive to the two excellent state of the art denoising algorithms with spatial adaptivity.

关键词： Gaussian image Image Denoising Algorithm Based on Neighbouring Thresholding Classification in Wavelet Domain Wavelet

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Balance Properties and Stabilization of Min-Max Systems

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International Journal of Automation and computing 2006年第1期3卷 76-83页

作者： Yue-Gang Tao Wen-De Chen Yi-Xin Yin Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 PRC Laboratory of Systems and Control Academy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100080 PRC School of Information Engineering University of Science and Technology Beijing Beijing 100083 PRC

A variety of problems in operations research, performance analysis, manufacturing, and communication networks, etc., can be modelled as discrete event systems with minimum and maximum constraints. When such systems require only maximum constraints （or dually, only minimum constraints）, they can be studied using linear methods based on max-plus algebra. Systems with mixed constraints are called min-max systems in which rain, max and addition operations appear simultaneously. A significant amount of work on such systems can be seen in literature. In this paper we provide some new results with regard to the balance problem of min-max functions; these are the structure properties of min-max systems. We use these results in the structural stabilization. Our main results are two sufficient conditions for the balance and one sufficient condition for the structural stabilization. The block technique is used to analyse the structure of the systems. The proposed methods, based on directed graph and max-plus algebra are constructive in nature. We provide several examples to demonstrate how the methods work in practice.

关键词： Balance fixed point min-max systems output feedback structural stabilization.

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Modeling Based on MOGA and the Dynamic ε -SVM for Fermentation Process

Modeling Based on MOGA and the Dynamic ε -SVM for Fermentat...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xuejin Gao Pu Wang Chongzheng Sun Yating Zhang Huiqing Zhang Jianqiang Yi College of Electronic Information and Control Engineering Beijing University of Technology Beijing China The Key Laboratory of Complex System and Intelligence Science Chinese Academy and Sciences Beijing China

To found the suitable models to describe the behavior of biochemistry systems, the dynamic epsiv-SVM method was proposed on the basis of SVM. Each training sample uses different error. The existed methods for selecting the parameters of SVM not only consume time, but also are difficult to find the optimal parameters. The optimal parameters were automatically decided by using multi-object genetic algorithm (MOGA). A new modeling method that combined MOGA with the dynamic epsiv-SVM was presented. The model for penicillin titer pre-estimate was developed by it in Matlab 6.5 with data collected from real plant. The model possesses the strong capability of fitting and generalization. Experiments show that the dynamic epsiv-SVM is superior to the standard SVM modeling method. MOGA is very feasible and efficient too

关键词： Mathematical model Support vector machines Artificial neural networks Risk management Educational programs Systems engineering education Genetic algorithms Computer languages Sun Educational institutions

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Image Denoising Algorithm Based on Neighbouring Thresholding Classification in Wavelet Domain

Image Denoising Algorithm Based on Neighbouring Thresholding...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Jianhua Hou Chengyi Xiong Laboratory for State Key Image Processing & Intelligence Control Huazhong University of Science and Technology Wuhan China College of Electronic Information Engineering South Central University of Nationalities Wuhan China

This paper proposes a new image denoising method which exploits spatial correlation among image wavelet coefficients and classification technique. By extending the neighbouring threshold of wavelet coefficients for 1D signal to 2D image case, each coefficient in a subband is classified as "large" or "small" category, according to its corresponding neighbouring threshold. Different strategies are implemented to the classified coefficients. Simulation results show that although very simple, the performance of the proposed method can be competitive to the two excellent state of the art denoising algorithms with spatial adaptivity

关键词： Image denoising Wavelet domain Wavelet coefficients Noise reduction Additive white noise Image processing Wavelet transforms Clustering algorithms Random variables Maximum likelihood estimation

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Dualband Infrared Images Target Detection Algorithm Based on Multiscale Morphology

Dualband Infrared Images Target Detection Algorithm Based on...

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2006 8th International Conference on Signal Processing

作者： Yuqiu Sun Jinwen Tian Jian Liu School of Information and Mathematics Yangtze University State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial IntelligenceHuazhong University of Science and Technology

According to the features of mid-wave and long-wave infrared images,they are decomposed into morphology pyramid respectively based on the new multiscale mathematical morphology filters proposed in the *** features such as local maximum gray level and average gradient strength of every image are extracted at each level of morphology *** dualband infrared images based on fusion rule put forward in the paper,and then reconstruct original image and detect target using contrast threshold *** experiment results show that dualband infrared images target detection algorithm based on multiscale morphology algorithm is better than use mid-wave or long-wave infrared images detect targets alone.

关键词： image Dualband Infrared Images Target Detection Algorithm Based on Multiscale Morphology Target

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Hopf Bifurcation Analysis of a Class of Delay Differential Systems

Hopf Bifurcation Analysis of a Class of Delay Differential S...

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Chinese control Conference (CCC)

作者： Ping Wei Wensheng Yu Long Wang Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China National Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Center for Systems and Control Department of Mechanics and Engineering Science Peking University Beijing China

This paper analyzes when a Hopf bifurcation occurs for a class of delay differential systems, and constructs the algorithms for determining the bifurcation's occurrence. By using some algebraic criteria, the "complete discrimination system for polynomials" and Hurwitz criterion, on-line determining bifurcation's occurrence can be realized. The methods unify and generalize the relevant results in the literature.

关键词： Bifurcation Delay systems Laboratories Intelligent systems Polynomials Automation Content addressable storage Automatic control control systems Algorithm design and analysis

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3D TRUS Image Segmentation in Prostate Brachytherapy

3D TRUS Image Segmentation in Prostate Brachytherapy

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Mingyue Ding L. Gardi Zhouping Wei A. Fenster Institute for Pattern Recognition and Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Imaging Research Laboratories Robarts Research Institute London ONT Canada

Brachytherapy is a minimally invasive interventional surgery used to treat prostate cancer. It is composed of three steps: dose pre-planning, implantation of radioactive seeds, and dose post-planning. In these procedures, it is crucial to determine the positions of needles and seeds, measure the volume of the prostate gland. Three-dimensional transrectal ultrasound (TRUS) imaging has been demonstrated to be a useful technique to perform such tasks. Compared to CT, MRI or X-ray imaging, US image suffers from low contrast, image speckle and shadows, making it challenging for segmentation of needles, the prostates and seeds in the 3D TRUS images. In this paper, we reviewed 3D TRUS image segmentation methods used in prostate brachytherapy including the segmentations of the needles, the prostate, as well as the seeds. Furthermore, some experimental results with agar phantom, turkey and chicken phantom, as well as the patient data are reported

关键词： Image segmentation Brachytherapy Needles Minimally invasive surgery Ultrasonic imaging Imaging phantoms Oncological surgery Prostate cancer Position measurement Volume measurement

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