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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： S. P. Gou Xin. Qiao L. C. Jiao Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education of China Institute of Intelligent Information Processing Xidian University Xi'an China

In this paper, we focus on the distribution of eigenvalues, and based on Gaussian assumption, then we do an analysis of the eigenvalues potential for POL-SAR classification. Generally, we use Gaussian mixture model to describe the distribution of the eigenvalue and Bayesian classifier to achieve the POL-SAR pixel classification. The method is tested with the NASA/JPL AIRSAR data.

关键词： Decision support systems

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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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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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A noninvasive, remote and precise method for temperature and concentration estimation using magnetic nanoparticles

A noninvasive, remote and precise method for temperature and...

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2012上海市研究生学术论坛暨第三届上海交通大学医(理)工研究生学术论坛

作者： Jing Zhong Wenzhong Liu Zhongzhou Du Paulo C′esar de Morais Qing Xiang Qingguo Xie Department of Control Science and Engineering Huazhong University of Science and TechnologyWuhan 430074People''s Republic of China Key Laboratory of Image Processing and Intelligent ControlHuazhong University of Science and TechnologyWuhan 430074People''s Republic of China Department of Control Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074People''s Republic of China Universidade de BrasiliaInstituto de FisicaNucleo de Fisica AplicadaBrasilia DF 70910-900Brazil School of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074People''s Republic of China

is study describes an approach for remote measuring of on-site temperature and particleconcentration using magnetic nanoparticles (MNPs) via simulation and also *** sensor model indicates that under different applied magnetic fields, the magnetizationequation of the MNPs can be discretized to give a higher-order nonlinear equation in twovariables that consequently separates information regarding temperature and particleconcentration. As a result, on-site tissue temperature or nanoparticle concentration can bedetermined using remote detection of the magnetization. In order to address key issues in thehigher-order equation we propose a new solution method of the first-order model from theperspective of the generalized inverse matrix. Simulations for solving the equation, as well asto optimize the solution of higher equations, were carried out. In the final section we describea prototype experiment used to investigate the measurement of the temperature in which weused a superconducting magnetometer and commercial MNPs. The overall error after ninerepeated measurements was found to be less than 0.57 K within 310–350 K, with acorresponding root mean square of less than 0.55 K. A linear relationship was also foundbetween the estimated concentration of MNPs and the sample’s mass.

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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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A uniform solution to common algorithmic problem by tissue p systems with cell division

A uniform solution to common algorithmic problem by tissue p...

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

作者： Niu, Yunyun Pan, Linqiang Pérez-Jiménez, Mario J. Key Laboratory on Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Research Group on Natural Computing Department of Computer Science and Artificial Intelligence University of Sevilla Sevilla 41012 Spain

ISBN: (纸本)9780769545141

Common algorithmic problem is an optimization problem, which has the nice property that several other NPcomplete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model which has two basic characters: intercellular communication and the ability of cell division. The ability of cell division allows us to obtain an exponential amount of cells in linear time and to design cellular solutions to computationally hard problems in polynomial time. We here present an effective solution to the common algorithmic decision problem using a family of recognizer tissue P systems with cell division. © 2011 IEEE.

关键词： Polynomial approximation

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A Tube Length Measurement Device Based on Acoustic Method

A Tube Length Measurement Device Based on Acoustic Method

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

作者： Yimin Chen Jian Qi Xuming Zhang Mingyue Ding Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan China

A low-cost device using acoustic method for measuring open-end tube length is developed. The proposed device is aimed to get the length of the tubes which are piled up together, and only one end of which is available in the warehouse or dumping areas. The device contains the emitting and receiving probes to echo the sound pulse and receive the reflection sound wave, and has been developed with discrete component circuits whose key part is the logical control circuit based on ARM. Experiments are performed in the open tubes with the lengths between 0.85 m to 6 m. The measurement error is below 0.5 cm. For the tubes blocked by the cement or earth, the device can detect the location of obstruction automatically. Based on the acoustic method, experiments are also conducted in the blocked tubes based on Matlab software, and the analysis of the reflection wave is given.

关键词： Electron tubes Length measurement Acoustics Acoustic measurements Calibration Earth Measurement uncertainty

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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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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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Hierarchical and discriminative bag of features for face profile and ear based gender classification

Hierarchical and discriminative bag of features for face pro...

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IEEE International Joint Conference on Biometrics (IJCB)

作者： Guangpeng Zhang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781457713583

Gender is an important demographic attribute of human beings, automatic face based gender classification has promising applications in various fields. Previous methods mainly deal with frontal face images, which in many cases can not be easily obtained. In contrast, we concentrate on gender classification based on face profiles and ear images in this paper. Hierarchical and discriminative bag of features technique is proposed to extract powerful features which are classified by support vector classification (SVC) with histogram intersection kernel. With the output of SVC, fusion of multi-modalities is performed at the score level based on Bayesian analysis to improve the accuracy. Experiments are conducted using texture images of the UND biometrics data sets Collection F, and average classification accuracy of 97.65% is achieved, which is comparable to the state of the art. Our work can be used in cooperate with existing frontal face based methods for accurate multi- view gender classification.

关键词： Educational institutions

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