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2011 7th Iranian Conference on Machine Vision and image processing, MVIP 2011

作者： Eshaghian, Shaghayegh Hossein-Zadeh, Gholam-Ali Soltanian-Zadeh, Hamid Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI 48202 United States

ISBN: (纸本)9781457715358

The major obstacle in discrimination between different groups of subjects in a common cognitive state, by functional Magnetic Resonance Imaging (fMRI), has been the high intersubject functional and anatomical variability in the spatial patterns of brain activity. To overcome this, we have used two types of spatial descriptors that characterize the brain regions of interest (ROIs) involved in the cognitive tasks. They include, firstly three-dimensional invariant moment descriptors (3-DMIs), and secondly k-dimensional feature vectors based on concentric spheres. Both types of descriptors are applied to analyze the spatial patterns of cognitive activity of a challenging task and then to classify them across two different subject groups. SVM classifiers along with sequential floating forward feature selection technique are applied to the extracted descriptors of each ROI across the subjects. Our method is applied to experimental fMRI data with the aim of discriminating mental status of heroin IV (Intravenous) abusers and from of those in control subjects in a visual cue task which can induce drug craving. Our results demonstrate that 3-D texture of activation maps provide a good discrimination (with high accuracy) between healthy and addict group. © 2011 IEEE.

关键词： Brain

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Predictive control of vehicle based on Echo state network

Predictive control of vehicle based on Echo state network

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International Conference on Intelligence Science and Information Engineering

作者： Ni, Shaobo Liu, Lei Wang, Zhishen Wang, Zirui Beijing Institute of Technology School of Aerospace Engineering Beijing 100081 China Beijing Aerospace Automatic Control Institute Beijing 100854 China Department of Control Science and Engineering Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780769544809

An Echo State Network (ESN) based predictive control method for aircraft system is proposed to increase the flight quality. Aerocraft is a nonlinear and time-varying system and its controllers are usually designed by trajectory linearization method. Furthermore, the predictive controller is designed to adjust the current controlled variables by the trend of output to improve the quick responsiveness and traceability. Then, the stability of the system is proved by Lyapunov function. Finally, the numerical simulation results of step-response and attitude tracking illustrate the robustness and effect of the method. © 2011 IEEE.

关键词： controllers

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The analytical algorithm of program quaternion in the arbitrary spacecraft attitude-adjusting control

The analytical algorithm of program quaternion in the arbitr...

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2011 3rd International Asia Conference on Informatics in control, Automation and Robotics, CAR 2011

作者： Ni, Shaobo Wu, Jianwu Shan, Jiayuan Liu, Lei Su, Mao School of Aerospace Engineering Beijing Institute of Technology Beijing 100081 China Beijing Aerospace Automatic Control Institute Beijing 100854 China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9783642259913

The analytical algorithm of program quaternion is studied, aiming at the problem of the arbitrary spacecraft attitude-adjusting control. It also provides the analytical constructor method of the program quaternion for any given initial quaternion and angle velocity, terminal quaternion and angle velocity. The advantages of this method are as follows: (1) Good adaptability. Both of the initial and terminal conditions are arbitrary;(2) Simple model. The calculation process only involves the simple algebraic operation;(3) Easy to optimize. By using the program quaternion model, the time consumption in the process of spacecraft attitude adjustment and the maximum angular velocity can be optimized directly. According to the Mathematical simulation results, the program quaternion tracking can be realized by a simple PD control law. © 2011 Springer-Verlag.

关键词： Attitude control

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Analysis of a memristor-based switching network

Analysis of a memristor-based switching network

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2011 International Conference on Information Science and Technology, ICIST 2011

作者： Wu, Ailong Shen, Yi Zeng, Zhigang Zhang, Jine Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China School of Basic Science East China Jiaotong University Nanchang 330013 China

ISBN: (纸本)9781424494408

In this paper, we formulate and investigate a memristor-based switching network which is directly extended from Itoh and Chua's chaotic circuit. Conditions are derived which ensure the existence of an equilibrium point and the uniformly stable for state trajectories of the memristor-based switching network. The analysis in the paper employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. It is believed that the criteria in this paper is also valuable in the design of memristor-based switching network which can be used to solve efficiently classes of optimization problems arising in practical engineering applications. © 2011 IEEE.

关键词： Memristors

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Reentry trajectory optimization based on differential evolution

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World Academy of Science, Engineering and Technology 2011年 80卷 597-601页

作者： Chang, Songtao Wang, Yongji Liu, Lei Zhao, Dangjun Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

Reentry trajectory optimization is a multi-constraints optimal control problem which is hard to solve. To tackle it, we proposed a new algorithm named CDEN(Constrained Differential Evolution Newton-Raphson Algorithm) based on Differential Evolution(DE) and *** transform the infinite dimensional optimal control problem to parameter optimization which is finite dimensional by discretize control parameter. In order to simplify the problem, we figure out the control parameter's scope by process constraints. To handle constraints, we proposed a parameterless constraints handle process. Through comprehensive analyze the problem, we use a new algorithm integrated by DE and Newton-Raphson to solve it. It is validated by a reentry vehicle X-33, simulation results indicated that the algorithm is effective and robust.

关键词： Trajectories

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NEAT versus PSO for Evolving Autonomous Multi-agents Coordination on Pursuit-Evasion Problem

NEAT versus PSO for Evolving Autonomous Multi-agents Coordin...

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2011 3rd International Asia Conference on Informatics in control, Automation and Robotics(CAR 2011)

作者： Jin Zhao Gang Peng Department of Control Science and Engineering Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry

A method based on multi-agents and ANN(Artificial Neural Network)was proposed to solve the pursuit-evasion task in continuous timevarying *** to this method,several autonomous agents with 8 circular sector sensors and an ANN controller were used to form a coordinated behavior to capture the *** evolve the controller,NEAT(Neuro Evolution of Augmenting Topologies)and PSO(Particle Swarm Optimization)method were used to optimize the *** simulation experiments show that both methods can successfully evolve the controller to capture the evaders,while NEAT requires less swarm members and consume less time comparing to PSO method.

关键词： Pursuit Multi-agents,Artificial Neural Network(ANN),Neuro Evolution of Augmenting Topologies(NEAT),Particle Swarm Optimization(PSO)

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Evaluation of functional connectivity in control and ADHD subjects by generalized canonical correlation and probabilistic independent component analysis

Evaluation of functional connectivity in control and ADHD su...

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2011 18th Iranian Conference of Biomedical Engineering, ICBME 2011

作者： Lashkari, Amirehsan Soltanian-Zadeh, Hamid Hosseinzadeh, Gholamali Elec. and Comp. Eng. Dept. Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI 48202 United States

ISBN: (纸本)9781467310055

Functional connectivity can be evaluated by temporal correlation between spatial neurophysiologic events or correlation between neural activities of brain regions. Unlike anatomical connectivity which represents physical connections between two brain regions, functional connectivity investigates interactions between brain regions. In this study, we implemented and evaluated Probabilistic Independent Component Analysis (PICA) and generalized Canonical Correlation Analysis (gCCA) on resting state data of healthy subjects and subjects with ADHD disorders from NITRC database. This was done to detect brain functional connectivity and compare the results in normal and diseased subjects. In addition, speed of the methods was compared. Our study shows that relative to PICA, gCCA has higher precision and accuracy and lower computational complexity and run time in addition to capability of extracting more reproducible statistical maps in both control and ADHD subjects. © 2011 IEEE.

关键词： Independent component analysis

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Transient fault tolerance and system safety enhancement based on system theory

Journal of Software

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Journal of Software 2011年第10期6卷 2082-2089页

作者： Huang, Xiongfeng Zhou, Chunjie Qin, Yuanqing Wang, Ye Yang, Mingyue Key laboratory of ministry of education for image processing and intelligent control Department of control science and engineering Huazhong University of Science and Technology Wuhan Hubei 430074 China

Transient faults are hard to be detected and located due to their unpredictable nature and short duration, and they are the dominant causations of system failures, which makes it necessary to consider transient fault-tolerant design in the development of modern safety-critical industrial system. In this paper an approach based on system theory is proposed to tolerate the transient faults in tunnel construction wireless monitoring and control systems (TCWMCS), in which the effects of transient faults are expressed by dysfunction of interactions among software applications. After analyzing the dysfunctional interactions of the system by the operational process model and educing the causes of dysfunction in the functional control diagram, a safety enhancement way is proposed for the designers, in which effictive safety constraints are set up to tolerate the transient faults. The experiment evaluation indicated that the effects of transient faults could be exposed by the causal factors of dysfunctional interactions and system safety could be enhanced by the enforcement of appropriate constraints. © 2011 ACADEMY PUBLISHER.

关键词： System theory

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P Systems with 2D Picture Grammars

P Systems with 2D Picture Grammars

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

作者： Tao Song Xiangxiang Zeng Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan Hubei China

In formal language theory of two-dimensions, 2D picture grammars are powerful tools to generate picture languages. In this work, we incorporate the idea of membrane systems (also called P systems) into 2D picture grammars, thus introducing a new kind of picture language generating devices, named P systems with 2D picture grammars. Inspired by the structure and functioning of living cells, such a system has a hierarchical membrane structure, symbol array objects and evolution rules of 2D picture grammars. In each region delimited by the membrane structure, array objects can evolve in a parallel manner according to evolution rules present in the region, like the way biochemical objects evolve in living cells or organisms. The computational result of P system with 2D picture grammars is the set of pictures (rectangular arrays) present in a specific output membrane when the system halts. We obtain several comparison results, which show that with the membrane structure, the generating power of Siromoney matrix grammar, 2D context-free grammar and basic puzzle grammar can be enlarged.

关键词： Grammar Arrays Biomembranes Power line communications Production Context Silicon compounds

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An Improved Non-local Means Filter for image Denoising

An Improved Non-local Means Filter for Image Denoising

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International Conference on intelligent Computation and Bio-Medical Instrumentation (ICBMI)

作者： Yi Zhan Mingyue Ding Feng Xiao Xuming Zhang Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

This paper proposes a improved non-local means (NLM) filter for image denoising. Due to the drawback that the similarity is computed based on the noisy image, the traditional NLM method easily generates the artifacts in case of high-level noise. The proposed method first preprocesses the noisy image by Gaussian filter. Then, a moving window at each pixel of the noisy image is chosen as the search window, and meanwhile, a improved calculation method of spatial distance based on the preprocessed image is used for computing the similarity. Finally, combining the improved distance with search window based on the noisy image, the intensity of each pixel is restored as the traditional NLM method. The standard images are used to evaluate restoration performance of the proposed method. Additionally, the application on medical image denoising also demonstrates that our method is practical.

关键词： Noise measurement Noise Noise reduction image denoising image restoration Biomedical imaging image edge detection

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