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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Zhang, Chong Tan, Gangjun Shi, Xiaolong Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China

ISBN: (纸本)9781612843735

The existing high-speed wire production line of Wuhan Iron and Steel Group Corporation has the shortage that reliability of water-cooling control system is poor, the temperature of rolling line fluctuation range is large. Taking these problems into consideration, we build a water-cooling temperature model based on Bayesian network in order to improve the control accuracy. And the optimized system works well in the industrial site. © 2011 IEEE.

关键词： Bayesian networks

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Breaking des in tile assembly models

Breaking des in tile assembly models

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Chen, Zhihua Xu, Jin Shi, Xiaolong Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

ISBN: (纸本)9781612843735

The potential use of molecular computation in attacking the Data Encryption Standard (DES) is already known, but the used computing models are not autonomous and require many tedious laboratory steps to execute. In this paper, a description of attacking DES using tile self assembly models in Θ(1) distinct tile types is given theoretically. The computation takes advantage of tiles' autonomy and the characteristic of highly distributed parallel computation. Each assembly configuration yields the ciphertext in linear time with respect to the times of the round function included in DES. The feasibility of finding the main key of DES in tile assembly models has been discussed. Analysis indicates that the tile assembly models might succeed by using a little of DNA under low error rate. © 2011 IEEE.

关键词： Self assembly

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Accelerated algorithm to incomplete nonnegative matrix factorization

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2011年第2期39卷 291-295页

作者： Shi, Jia-Rong Jiao, Li-Cheng Shang, Fan-Hua Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an Shaanxi 710071 China

Nonnegative matrix factorization (NMF) is an increasingly popular technique for data processing and analysis. For an incomplete data matrix, the weighted nonnegative matrix factorization (WNMF) is employed to decompose it. But the searching step size in WNMF is not optimal along the given searching direction. This paper studies the incomplete nonnegative matrix factorization (INMF) and proposes an accelerated algorithm. First, INMF is transformed into solving alternatively two nonnegative least squares (NNLS) problems. For each NNLS problem, the exact step size is chosen along the searching direction. Then, the complexity of NNLS problems is analyzed. Finally, experimental results show that the proposed method outperforms WNMF.

关键词： Matrix algebra

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Brain activity during walking in patient with spinal cord injury

Brain activity during walking in patient with spinal cord in...

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2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011

作者： Wei, Li Yue, Huang Jiang, Xu He, Jiping Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781457700774

The capacity for walking is an important assessment to reflect the ability about how the patients who have movement disorders to control their lower limbs. Electroencephalography (EEG), which can describe brain activities, has been widely used in the field of neural engineering. The present study investigates 2D scalp topography mapping while the subjects perform gait-like movements with the assistance of a dynamic tilt table. Based on the result, we concluded that the motor function and the most nerve circuit of lower limbs in spinal cord injury (SCI) patients in level D are as normal as healthy human. © 2011 IEEE.

关键词： Electroencephalography

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Tuning of Auto-Disturbance Rejection controller based on the invasive weed optimization

Tuning of Auto-Disturbance Rejection Controller based on the...

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6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011

作者： Chen, Zhihua Wang, Shuo Deng, Zhonghua Zhang, Xuncai Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China School of Electrical and Electronic Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China

ISBN: (纸本)9780769545141

Auto-Disturbance Rejection controller (ADRC) has been proved to be a capable replacement of PID with unmistakable advantage in performance and practicality. But it is difficult to obtain a set of optimal parameters, for ADRC controller has too many parameters and has no deterministic rules to compute the parameters. In this paper, Objective function is constructed based on the control system performance indexes. Combined with experienced parameters of ADRC, an invasive weed optimization algorithm (IWO) is employed to obtain a set of key parameters. The simulation results show the validity of the IWO algorithm. © 2011 IEEE.

关键词： Invasive weed optimization

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Improving strategies on PSO for suborbit launch vehicle trajectory optimization

Improving strategies on PSO for suborbit launch vehicle traj...

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Xie, Fuqiang Yang, Ye Chang, Songtao Wang, Yongji School of Electric Engineering University of Souch China Hengyang China Beijing Aerospace Automatic Control Institute Beijing China 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 China

ISBN: (纸本)9781612843735

Solving the optimal control problem with a free final time, such as suborbital launch vehicle (SLV) trajectory optimization with two control variables and multi-constraints ones based on particle swarm optimization (PSO), the smoothness of control variable can not be satisfied by linear interpolation method. A novel method including some improving strategies based on PSO for trajectory optimization is proposed, named LCPSO which is a kind of Cooperate PSO based on Legendre orthogonal polynomials. An additional control variable is introduced and transcribes the original optimal problem to a problem with fixed final time, and one dimension searching method based on interval analysis is used to optimize the additional control variable. Furthermore, a theorem on how to find the boundaries of the coefficient of polynomials is proved. Compared with basic PSO, LCPSO has traits of lower dimensions and smoother control variable. An example of trajectory optimization shows the effectiveness of the LCPSO algorithm. © 2011 IEEE.

关键词： Aerodynamics

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Automatic detection of the intima-media layer in ultrasound common carotid artery image based on active contour model

Automatic detection of the intima-media layer in ultrasound ...

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2011 IEEE International conference on intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

作者： Jin, Jiaoying Ding, Mingyue Yang, Xin Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Life School of Science and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory for Multi-spectral Information Processing Technologies Life School of Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769546230

The analysis of the carotid artery wall is of paramount importance in clinical practice. Especially, the intima-media thickness is a risk index for some of the most severe acute cerebrovascular pathologies, hence, an accurate segmentation of the different layers of the carotid artery is needed. IMT is usually manually measured on longitudinal B-mode ultrasound images. In the past ten years, many computer-based techniques for intima-media thickness measurement have been proposed to overcome the limits of manual segmentation, but almost all of them require a certain degree of user interaction. In this paper we proposed a novel approach for the completely user-independent segmentation of the common carotid artery wall. Our algorithm is designed for the extraction of the intima and media layers of the distal carotid wall in ultrasound images. It is based on integrated approach consisting of common carotid artery region identification, contour initialization with threshold segmentation, intima-lumen segmentation with Snake, and media-adventitia segmentation with GVF-Snake that enables the automated tracing of the carotid walls. The acoustic impedance's difference is employed to locate common carotid artery region. Finally, the characterization of the algorithm in terms of segmentation error was evaluated with a set of 40 common carotid artery ultrasound images and compared to the segmentation traced by a trained operator. Experiments showed that a mean error lower than 1.3 pixel both on the intima and media layers was obtained, which is comparable to that obtained by means of operator dependent techniques. © 2011 IEEE.

关键词： image segmentation

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Chaos analysis and control in a chaotic circuit with a PWL memristor

Chaos analysis and control in a chaotic circuit with a PWL m...

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2011 International Conference on information Science and Technology, ICIST 2011

作者： Wen, Shiping Shen, Yi Zeng, Zhigang Cai, Yanxia 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 Fenghuang Middle School Xinzhou Wuhan Hubei 430074 China

ISBN: (纸本)9781424494408

In this paper, a nonlinear chaotic system is presented, which is derived from the chua's circuit with a memristor. This is a four-dimensional autonomous circuit which exhibits chaotic behavior. The chaotic system is demonstrated by Lyapunov exponent, and phase portraits. Furthermore, this system can be stabilized by a switched feedback controller which can be obtained by solving a set of LMIs. And the results will be demonstrated by the numerical simulation. © 2011 IEEE.

关键词： Memristors

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Nondominated individual selection strategy based on adaptive partition for evolutionary multi-objective optimization

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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2011年第4期48卷 545-557页

作者： Gong, Maoguo Cheng, Gang Jiao, Licheng Liu, Chao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Xidian University Xi'an 710071 China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

Many real world problems involve the simultaneous optimization of various and often conflicting objectives. These optimization problems are known as multi-objective optimization problems. Evolutionary multi-objective optimization, whose main task is to deal with multi-objective optimization problems by evolutionary computation techniques, has become a hot topic in evolutionary computation community. The solution diversity of multi-objective optimization problems mainly focuses on two aspects, breadth and uniformity. After analyzing the traditional methods which were used to maintain the diversity of individual in multi-objective evolutionary algorithms, a novel nondominated individual selection strategy based on adaptive partition is proposed. The new strategy partitions the current trade-off front adaptively according to the individual's similarity. Then one representative individual will be selected in each partitioned regions for pruning nondominated individuals. For maintaining the diversity of the solutions, the adaptive partition selection strategy can be incorporated in multi-objective evolutionary algorithms without the need of any parameter setting, and can be applied in either the parameter or objective domain depending on the nature of the problem involved. In order to evaluate the validity of the new strategy, we apply it into two state-of-the-art multi-objective evolutionary algorithms. The experimental results based on thirteen benchmark problems show that the new strategy improves the performance obviously in terms of breadth and uniformity of nondominated solutions.

关键词： Multiobjective optimization

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Concatenated edge and co-occurrence feature extracted from Curvelet Transform for human detection

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Journal of information and Computational Science 2011年第4期8卷 662-670页

作者： Han, Hong Fan, Youjian Jiao, L.C. Chen, Zhichao Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an 710071 China

An efficient feature extraction method based on the Curvelet Transform for detecting human in static images is proposed in this paper. The edge features can be extracted with the block-based statistical information of each sub-band coefficients, and then the texture feature can be extracted from the co-occurrence matrixes of the lowest-frequency sub-band coefficients, all the extracted features are concatenated as the final feature vector of the images. All the training and test data are from the INRIA and MIT human dataset. The classification results with test data show that the proposed feature extraction method is suitable for human detection. From the detection results, it can be seen that, the detection accuracy of the proposed method is higher, meanwhile the false positive rate is lower than the Histograms of Oriented Gradients (HOG) method. Copyright © 2011 Binary information Press.

关键词： Feature extraction

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