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International Joint Conference on Neural Networks (IJCNN)

作者： Zhanquan Sun Guangcheng Xi Haixia Li Jianqiang Yi Jie Wang Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Guanganmen Hospital Chinese Academy of Traditional Chinese Medicine Beijing China

Differentiation of syndromes of traditional Chinese medicine (TCM) mainly depends on the information obtained from four diagnosis methods. Now many physicochemical parameters are available in clinic. There exists great correlation between TCM syndromes and physicochemical parameters. The objective of the paper is to analyze the correlation between TCM syndromes and physicochemical parameters quantitatively and find the most informative physicochemical parameter combination which is useful in differentiation of syndromes. A novel definition of correlation degree based on Renyi's entropy is proposed which can measure the correlation between variables efficiently. Feature selection based on the correlation degree is used to find the most informative physicochemical parameters for assisting differentiation of syndromes.

关键词： Entropy Mutual information Medical diagnostic imaging Independent component analysis Sun Statistics Diseases Laboratories Intelligent systems Automation

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Exergy-Based Ecological Analysis:Chinese Agriculture 1980-2000

Exergy-Based Ecological Analysis:Chinese Agriculture 1980-20...

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第三届世界生态高峰会(Eco Summit 2007)

作者： Jiang M M Chen B Yang Z F Chen G Q State Key Joint Laboratory of Environmental Science and Pollution Control Faculty of EnvironmentBeijing Normal UniversityBeijing 100875China State Key Joint Laboratory of Environmental Science and Pollution ControlFaculty of EnvironmentBeijing Normal UniversityBeijing 100875China National Laboratory for Turbulence and Complex Systems Department of MechanicsPeking UniversityBeijing 100871China National Laboratory for Turbulence and Complex SystemsDepartment of MechanicsPeking UniversityBeijing 100871China

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Cooperative Driving at Lane Closures

Cooperative Driving at Lane Closures

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IEEE Symposium on Intelligent Vehicle

作者： Li Li Fei-Yue Wang Yi Zhang Department of Automation Tsinghua University Beijing China Department of Systems and Industrial Engineering University of Arizona Tucson Tucson AZ USA Key Laboratory for Complex Systems and Intelligence Science Chinese Academy and Sciences Beijing China

Cooperative driving via vehicle communication attracts increasing interests recently, since the motions of vehicles can be conducted in the safe and smooth manner. In this paper, cooperative driving at lane closures is studied. First, the solution space of all allowable driving schedules is described by a spanning tree in terms of vehicle safe passing order. The corresponding trajectory planning method is then proposed to generate the acceptable lane changing profiles. The proposed algorithm is fast and reliable, but sometimes yields conservative solutions than previous algorithms.

关键词： Vehicle driving Vehicle safety Trajectory Road accidents Intelligent vehicles Scheduling algorithm Merging Road safety Road vehicles System recovery

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CORRIDOR-SCENE CLASSIFYING METHODS FOR MOBILE ROBOT BASED ON MULTI-SONAR-SENSOR INFORMATION FUSION

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International Journal of Information Acquisition 2007年第1期4卷 15-26页

作者： XIUQING WANG ZENG-GUANG HOU LONG CHENG MIN TAN FEI ZHU Key Laboratory of Complex Systems and Intelligence Science Institute of Automation The Chinese Academy of Sciences P. O. Box 2728 Beijing 100080 China Vocational and Technical Institute Hebei Normal University Shijiazhuang 050031 China

The ability of cognition and recognition for complex environment is very important for a real autonomous robot. A new scene analysis method using kernel principal component analysis (kernel-PCA) for mobile robot based on multi-sonar-ranger data fusion is put forward. The principle of classification by principal component analysis (PCA), kernel-PCA, and the BP neural network (NN) approach to extract the eigenvectors which have the largest k eigenvalues are introduced briefly. Next the details of PCA, kernel-PCA and the BP NN method applied in the corridor scene analysis and classification for the mobile robots based on sonar data are discussed and the experimental results of those methods are given. In addition, a corridor-scene-classifier based on BP NN is discussed. The experimental results using PCA, kernel-PCA and the methods based on BP neural networks (NNs) are compared and the robustness of those methods are also analyzed. Such conclusions are drawn: in corridor scene classification, the kernel-PCA method has advantage over the ordinary PCA, and the approaches based on BP NNs can also get satisfactory results. The robustness of kernel-PCA is better than that of the methods based on BP NNs.

关键词： Sonar PCA kernel PCA mobile robot classification

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Particle Swarn Optimized Adaptive Dynamic Programming

Particle Swarn Optimized Adaptive Dynamic Programming

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IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, (ADPRL)

作者： Dongbin Zhao Jianqiang Yi Derong Liu Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Department of Electrical and Computer Engineering University of Illinois Chicago Chicago IL USA

Particle swarm optimization is used for the training of the action network and critic network of the adaptive dynamic programming approach. The typical structures of the adaptive dynamic programming and particle swarm optimization are adopted for comparison to other learning algorithms such as gradient descent method. Besides simulation on the balancing of a cart pole plant, a more complex plant pendulum robot (pendubot) is tested for the learning performance. Compared to traditional adaptive dynamic programming approaches, the proposed evolutionary learning strategy is verified as faster convergence and higher efficiency. Furthermore, the structure becomes simple because the plant model does not need to be identified beforehand

关键词： Dynamic programming Particle swarm optimization Neural networks Robots Backpropagation Adaptive systems Evolutionary computation Learning Cost function Testing

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Covariance matrix repairing in Gaussian based EDAs

Covariance matrix repairing in Gaussian based EDAs

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Congress on Evolutionary Computation

作者： Weishan Dong Xin Yao The Key Laboratory for Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China The Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA) School of Computer Science University of Binningham Birmingham UK

Gaussian models are widely adopted in continuous Estimation of Distribution Algorithms (EDAs). In this paper, we analyze continuous EDAs and show that they don't always work because of computation error: covariance matrix of Gaussian model can be ill-posed and Gaussian based EDAs using full covariance matrix will fail under specific conditions. It is a universal problem that all existing Gaussian based EDAs using full covariance matrix suffer from. Through theoretical analysis with examples of simulated data and experiments, we show that the ill-posed covariance matrix strongly affects those EDAs. This paper proposes a Covariance Matrix Repairing (CMR) method to fix ill-posed covariance matrix. CMR significantly improves the robustness of EDAs. Even some EDA's performance that was previously thought inefficient can be improved surprisingly with the help of CMR. CMR can also guarantee those EDAs to be used with small scale of population (but still should be large enough to find the global optimum) to accelerate the convergence rate while maintaining the quality of solutions.

关键词： Covariance matrix Electronic design automation and methodology Computational modeling Sampling methods Robustness Differential equations Probability distribution Failure analysis Analytical models Acceleration

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A networking identity authentication scheme combining fingerprint coding and identity based encryption

A networking identity authentication scheme combining finger...

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ISI 2007: 2007 IEEE Intelligence and Security Informatics

作者： Li, Ang Jiang, Wei-Qiang Tian, Jie Yang, Yi-Xian Jiang, Cai-Ping Wu, Zhe Yang, Xin IEEE Key Laboratory of Complex Systems and Intelligence Science Graduate School Chinese Academy of Sciences P.O. Box 2728 Beijing 100080 China Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China First Research Institute Ministry of Public Security of P.R.C. Beijing 100044 China Life Science Center Xidian University Xi'an Shaanxi 710071 China

ISBN: (纸本)1424413303

Current certificate-based information security technologies are facing a challenge of lacking the exact connection between cryptographic key and legitimate users and a problem of comprehensive management of certificates. In this paper we propose a novel networking identity authentication scheme based on fingerprint coding method and Identity-based encryption (IBE). Fingerprint code is a dual-factor authenticator which combines a token, e.g USB key, with user's fingerprint feature by direct mixing of pseudo-random number generated by token and fingerprint feature. IBE allows for a sender to encrypt a message to a receiver without access to a public key certificate. This scheme can improve the security of user authentication and simplify comprehensive management of certificates, in the meantime, protect against fingerprint data fabrication and stolen. The security and efficiency of our proposed scheme meet the requirements of practical applications. © 2007 IEEE.

关键词： Network security

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An Improved Fourth-order PDE for Noise Removal with Dissipation Reduction

An Improved Fourth-order PDE for Noise Removal with Dissipat...

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Chinese Control Conference (CCC)

作者： Ji Jing Yang Kehu Guo Jianjun Yu Wensheng The Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Beijing P. R. China HPI Innovation (Beijing) co. Ltd. Beijing P. R. China

In this paper we present a method that can reduce the dissipation during fourth-order PDE diffusion processing which is used for noise removal without blocky effect. PDE-based method has been a successful tool for image restoration. But most of PDE methods have a common problem that is the processed image looks like cartoon image. In order to overcome the blocky effect introduced by second order PDE, Yuli You proposed a fourth order PDE method which seeks to minimize a function proportional to the absolute value of the Laplacian operator of the image. But we found that this method can also introduce dissipation during the diffusion process. In order to reduce the dissipation effect, we consider revising the diffusion coefficient. And what we think is to introduce the gradient operator into the diffusion coefficient. This method can reduce the dissipation effect during the denoising process. From the experiment we can see that the dissipation is reduced.

关键词： Noise reduction Image restoration Anisotropic magnetoresistance Laboratories Automation Laplace equations Diffusion processes Image processing Intelligent systems Technological innovation

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Teleoperation System of the Internet-based Omnidirectional Mobile Robot with A Mounted Manipulator

Teleoperation System of the Internet-based Omnidirectional M...

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IEEE International Conference on Mechatronics and Automation

作者： Dawei Wang Jianqiang Yi Dongbin Zhao Guosheng Yang Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Institute of Advanced Control and Intelligent Information Processing College of Computer and Informaion Engineering Henan University Kaifeng China

A platform of the Internet-based teleoperation system with an omni-directional mobile robot which has a five DOFs robot arm is constructed. Remote control of the robot through the Internet is implemented. The system is featured as low-cost and user interface friendly: remote users can control the robot through the Internet just by a client program in a general computer. The client computer can receive the live video and environment information measured by sensors. With the help of the remote video and the local simulation, users can easily communicate with the robot. Different modules are proposed and the implementation method of the system is presented. Related experiments are conducted to test the validity of the proposed system.

关键词： Internet Mobile robots Manipulators Robot sensing systems Robot control User interfaces Control systems Computer interfaces Computational modeling System testing

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The Use of the Study on TCM Syndrome Diagnostic Criteria According to Entropy-based Partition Method for complex System

The Use of the Study on TCM Syndrome Diagnostic Criteria Acc...

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International Conference on Bio-Inspired Computing: Theories and Applications, BICTA

作者： Huai-lin Gao Yi-ling Wu Jing Chen Guang-cheng Xi Zhen-hua Jia Hebei Medical University ShiJiaZhuang Hebei China Research Institute of Medicine Hebei Medical University Shijiazhuang Hebei China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China

The research of standardization and normalization of syndromes in traditional Chinese medicine (TCM) is the focal and difficult points of TCM, but always fails to make some breakthroughs. In this paper, we try to apply a new analysis method (entropy-based partition method for complex system) to conduct a standardized and normalized study on the TCM syndromes of "deficiency of Yin" syndrome in vascular endothelial dysfunction (ED). Firstly, we carried out a clinical epidemiology survey, chose 400 ED patients, and collected corresponding symptoms information. Then we reached the symptoms combination and the diagnostic threshold of "deficiency of Yin" in ED objectively. Finally, we conducted an examination on this diagnostic criterion through three indexes: sensitivity, specificity and agreement rate. The result shows that the diagnostic criterion of "deficiency of Yin" in ED has a favourable diagnostic effect and the entropy-based partition method for complex system is suitable for study on the diagnostic criterion of syndromes in TCM. It paves a new way for the research of standardization and normalization of syndromes in TCM.

关键词： Medical diagnostic imaging Standardization Testing Laboratories Intelligent systems Automation Hypertension Heart Liver Pregnancy

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