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A novel fingerprint recognition algorithm using 2DPCA and RBFNN

Journal of Information and Computational science 2009年第4期6卷 1899-1906页

作者： Ni, Jianyun Xu, Qinmin Lei, Ming Luo, Jing Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems Tianjin University of Technology Tianjin 300191 China School of Electrical Engineering Tianjin University of Technology Tianjin 300191 China School of Computer Science and Technology Tianjin University of Technology Tianjin 300191 China College of Electrical Engineering and Automation Tianjin Polytechnic University Tianjin 300160 China

Fingerprint recognition algorithm based on minutiae has large computation, slow recognition speed as a result of complex processing, such as image enhance, smooth, binary, and thinning. A novel fingerprint recognition algorithm Using 2DPCA(Two-Dimensional Principal Component Analysis) has been proposed in this paper. Firstly, original images are decomposed into high-frequency and lowfrequency components with the help of Wavelet Transform (WT), and high-frequency components are ignored, so the prime features of original images can be attained. Secondly, the projected features are solved by 2DPCAFinallyfingerprint recognition can be realized by Radial Basis Function Neural Network (RBFNN). The algorithm combines the optimization of the 2DPCA and the adaptability of RBFNN. The experimental results based on FVC2002 have verified that the proposed algorithm has higher robustness to the fingerprint images which has the change of shift and rotation and light than IDFFWNN. © 2009 Binary Information Press.

关键词： Wavelet transforms

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H∞ Filtering for Neutral Stochastic Systems with Time-Varying Delays

H∞ Filtering for Neutral Stochastic Systems with Time-Varyi...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Lin Li Yingmin Jia Junping Du Hideki Kokame the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the College of Engineering Osaka Prefecture University

This paper is devoted to the problem of H filtering for a class of neutral stochastic systems with both discrete and distributed time-varying *** objective is to design a full order filter such that the resulting filtering error system is stochastically asymptotically stable with a prescribed H∞performance *** on the stability theory of stochastic systems,a delay-dependent and rate-dependent sufficient condition for the existence of filter is obtained in terms of linear matrix inequalities（LMIs）.The corresponding filter design method is also proposed,while the explicit expression for the desired filter is given.A numerical example is finally included to illustrate the effectiveness of the proposed method.

关键词： Filtering for Neutral Stochastic Systems with Time-Varying Delays filter

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OWA fuzzy linking histogram approach for image retrieval

OWA fuzzy linking histogram approach for image retrieval

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International Conference on Computational Cybernetics (ICCC)

作者： Maryam Tayefeh Mahmoudi Maedeh Beheshti Caro Lucas Fattaneh Taghiyareh Knowledge Engineering & Intelligent Systems Group Iran Telecom Research Center Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran School of computer engineering Iran University of Science and Technology Tehran Iran Control and Intelligent Processing Laboratory University of Tehran Tehran Iran School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

Color image histograms are very useful tools for content based image retrieval (CBIR) that can be applied on features such as colour, texture and shape. As these kinds of histograms results with large variations between neighbouring bins, they seem so sensitive to any kind of changes such as noise, illumination. To overcome this problem, in this paper, fuzzy linking histogram approach based on OWA aggregation operator is proposed, which is capable of projecting 3-dimensional (L*a*b*) colour histograms into single-dimension. The proposed method have been evaluated and compared with five other related methods in retrieving similar images from the common dataset which is available on http://***/~konkonst. The experimental results on 100 images within two categories of Cat and Sky reveals better performance of the proposed method in comparison with the other mentioned methods.

关键词： Open wireless architecture Joining processes Histograms Image retrieval Colored noise Color Content based retrieval Shape Noise shaping Lighting

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Gene Selection of Multiple Cancer Types via Huberized Multi-class Support Vector Machine

Gene Selection of Multiple Cancer Types via Huberized Multi-...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Juntao Li Yingmin Jia Junping Du Fashan Yu the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the School of Electrical Engineering and Automation Henan Polytechnic University

This paper proposes a new type of regularization in the context of multi-class support vector machine for simultaneous classification and gene *** combining the huberized hinge loss function and the elastic net penalty,the proposed support vector machine can do automatic gene selection and further encourage a grouping effect in the process of building classifiers,thus leading a sparse multi-classifiers with enhanced ***,a reasonable correlation between the two regularization parameters is proposed and an efficient solution path algorithm is *** of microarray classification are performed on the leukaemia data set to verify the obtained results.

关键词： Gene selection grouping effect microarray classification solution path support vector machine(SVM)

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Frequency-domain approach to robust iterative learning controller design for uncertain time-delay systems

Frequency-domain approach to robust iterative learning contr...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu the Department of Systems and Control Beihang University (BUAA) the Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications the School of Electrical Engineering and Automation Henan Polytechnic University

This paper deals with the robust iterative learning control(ILC) for time-delay systems(TDS) with both model and delay *** ILC algorithm with anticipation in time is considered,and a frequency-domain approach to its design is *** shows that a necessary and sufficient convergence condition can be provided in terms of three design parameters:the lead time,the learning gain,and the performance weighting *** particular,if the lead time is chosen as just the delay estimate,then the convergence condition is derived independent of the delay and the *** this case,with the selection of the performance weighting function,the perfect tracking can be achieved,or the least upper bound of the L2-norm of the limit tracking error can be guaranteed less than the least upper bound of the L2-norm of the initial tracking error.

关键词： Iterative learning control time-delay systems frequency-domain approach anticipation in time

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H∞-based design approach to discrete-time learning control systems with iteration-varying disturbances

H∞-based design approach to discrete-time learning control ...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

This paper is concerned with the iterative learning control(ILC) problem for discrete-time systems with iterationvarying *** the so-called super-vector approach to ILC,the discrete domain bounded real lemma is employed to develop a sufficient condition ensuring both the stability and the desired H∞ performance of the ILC *** is shown that this sufficient condition can be presented in terms of linear matrix inequalities(LMIs),which can also determine the learning gain matrix.A numerical simulation example is included to validate the theoretical results.

关键词： Iterative learning control discrete-time systems iteration-varying disturbances H_∞ performance linear matrix inequality

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Embedded intelligent capability of a modular robotic system

Embedded intelligent capability of a modular robotic system

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IEEE International Conference on Robotics and Biomimetics

作者： H. X. Zhang J. Gonzalez-Gomez S.Y. Chen J. W. Zhang Institute of Technical Aspects of Multimodal Systems Department of Computer Science University of Hamburg Hamburg Germany Control and Telematics Systems Laboratory Universidad Autonoma de Madrid Spain College of Information Engineering Zhejiang University of Technology Hangzhou China

The last few years have witnessed an increasing interest in modular reconfigurable robotics for education, inspired robotic research, and space applications. This paper presents the latest results of the cube-M modular project. Firstly, an overview of the research achievements in modular robot is given. Then the new modular robot cube-M with one degree of freedom, an improved version of the Y1 modular robot, is presented. After that, the discussion focuses on the realization of a distributed hardware and control. Each module has embedded intelligent capabilities with an independent onboard controller to enable the realization of completely modular design. In the end, a snake-like robot prototype is built to confirm the feasibility of our design principle.

关键词： Intelligent robots Orbital robotics Prototypes Pulse width modulation Educational robots Joining processes Mobile robots Leg Arm Legged locomotion

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Particle Swarm Optimization in Solving Vehicle Routing Problem

Particle Swarm Optimization in Solving Vehicle Routing Probl...

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International Conference on Intelligent Computation technology and Automation, ICICTA

作者： Hai Shen Yunlong Zhu Ting Liu Li Jin College of Physics Science and Technology Shenyang Normal University Shenyang China Key Laboratory of Industrial Informatics Shenyang Institute of Automation Chinese Academy and Sciences Shenyang China Key Laboratory of Industrial Informatics Shenyang Institute of Automation Chinese Academy and Sciences Beijing China Department of Automatic Control School of Information Science and Engineering Northeastern University Shenyang China Chinese Academy of Sciences Beijing Beijing CN

The vehicle routing problem (VRP) is a NP complete problem and is also a hot topic in the operational research. But traditional methods might suffer from slow convergence and the curse of large sizes, heuristics-based swarm intelligence can be an efficient alternative. Particle swarm optimization (PSO) is known to effectively solve engineering optimization problems. In this paper, the PSO in solving VRP is comprehensive surveyed from two basic aspects: the improved PSO algorithms and the particle encoding method. For each application, technical details that are required are all discussed. Finally, a summary is given together with suggestions for future research.

关键词： Particle swarm optimization Vehicles Routing Automation Encoding Laboratories computer industry Industrial control Informatics Educational institutions

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Distributed H∞ consensus control for networks of multiple agents with linear coupling dynamics

Distributed H∞ consensus control for networks of multiple a...

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SICE Annual Conference

作者： Yang Liu Yingmin Jia Junping Du Fashan Yu Department of Systems and Control Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper is devoted to the consensus control for a network of autonomous agents with high-dimension linear coupling dynamics and subject to external disturbances. By transforming the consensus control problem into an H infin control problem, we propose a distributed state feedback protocol, and obtain conditions in terms of linear matrix inequalities (LMIs) to ensure the consensus with a prescribed H infin performance level for networks with zero and nonzero communication delays, respectively. Furthermore, the undetermined feedback matrix of the proposed protocol is also solved. A numerical example is included to validate the theoretical results.

关键词： control systems Communication system control Protocols Multiagent systems Vehicle dynamics automatic control Telecommunication control Electronic mail Linear feedback control systems State feedback

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Adaptive multi-class support vector machine for microarray classification and gene selection

Adaptive multi-class support vector machine for microarray c...

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SICE Annual Conference

作者： Juntao Li Yingmin Jia Junping Du Fashan Yu Department of Systems and Control Beihang University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper proposes an adaptive multi-class support vector machine for simultaneous microarray classification and gene selection. By evaluating the gene ranking significance, the adaptive multi-class support vector machine is shown to encourage an adaptive grouping effect in the process of building classifiers, thus leading a sparse multi-classifiers with enhanced interpretability. Based on a reasonable correlation between the two regularization parameters, an efficient solution path algorithm is developed for solving the proposed support vector machine. Experiments performed on the leukaemia data set are provided to verify the obtained results.

关键词： Support vector machines Support vector machine classification Electronic mail Programmable control Adaptive control Gene expression Learning systems automatic control control systems Telecommunication control

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