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IEEE International Conference on Cognitive Informatics

作者： Yongguo Liu Jianrui Hao Jun Peng Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University Xiangtan China School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China College of Electronic Information Engineering Chongqing University of Science and Technology Chongqing China

In this paper, a novel method for predicting RNA secondary structure called RNA secondary structure prediction based on Tabu Search (RNATS) is proposed. In RNATS, two search models, intensification search and diversification search, are designed to exploit the local regions around the current solution and explore the unvisited space, respectively. Simulation experiments are conducted for six RNA sequences to show that the proposed method is feasible and effective.

关键词： RNA Computer simulation Space exploration Neodymium Nickel Laboratories

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Non-rigid object reconstruction based on multiview images: A survey

Non-rigid object reconstruction based on multiview images: A...

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Congress on Image and signal processing, CISP

作者： Zhi Liu Hongjun Wang Qingli Li Shi Jun Key Laboratory of Intelligent Computing & Information Processing Ministry of Education China School of Information Science and Engineering Shandong University Jinan China School of Information Science East China Jiao Tong University Shanghai China Shandong Institute of Light Industry Jinan China

In this paper we review the major approaches to nonrigid object reconstruction based on multi-view images. It tries to reflect the profile of this area by focusing more on those subjects that have been given more importance in the literature. In this context most of the paper is devoted to present all kinds of approaches for non-rigid object reconstruction based on multiview images. A number of references are provided that describe applications of non-rigid object reconstruction based on multiview images The paper ends by addressing some important issues and open questions that can be subject of future research.

关键词： Image reconstruction Three dimensional displays Shape Computational modeling Visualization Solid modeling Geometry

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Risk analysis of system security based on evidence theory

Risk analysis of system security based on evidence theory

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International Conference on Computer Design and Applications (ICCDA)

作者： Peida Xu Yong Deng Jianling Xu Xiaoyan Su Key Laboratory of Digital Agricultural Early-warning Technology Ministry of Agriculture of China Beijing China Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University China School of Electronics & Information Technology Shanghai Jiaotong University China School of Electronics & Information Technology Shanghai Jiaotong University Shanghai China Hangzhou Key Laboratory of E-Business and Information Security Hangzhou Normal University Shanghai Zhejiang China Grain Economics Institute Nanjing University of Finance and Economics Nanjing China

ISBN: (纸本)9781424471645;9781424471638

Risk evaluation is very important to the design and improvement of physical protection systems. In this paper, an evaluation method of multi-source information fusion is proposed based on the D-S evidence theory. In the proposed method, each individual component of the protection system in the simulated plane is modeled. Then, the threat report of each component according to the specific tactics is determined based on its real environment. Finally, the comprehensive threat distribution is obtained based on through the D-S evidence theory to combine multi-sources information. The proposed method can easily applied to the evaluation of the effectiveness of the protection system. We make the total threat of the protection system lowest through changes of the protection resources allocation. A numerical example is used to illustrate the efficiency of the proposed method.

关键词： Risk analysis Protection Information security Information technology Computer security Laboratories Environmental economics Educational technology Agriculture Finance

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A Spectrum Based Algorithm for Image Classification

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电子学报(英文版) 2009年第3期18卷 427-430页

作者： WANG Nian ZHANG Jiang TANG Jun FAN Yizheng LIANG Dong Key Laboratory of Intelligent Computing and Signal Processing Anhui University Education Ministry Hefei 230039 China Hefei Teachers College Hefei 230601 China Department of Mathematics Anhui University Hefei 230039 China

In this paper, a novel algorithm for image classification is presented which uses the projective value of adjacency spectrum as classified samples. Firstly, the eigenvalues of adjacency matrices constructed on the feature point-sets of images are obtained by singular value decomposition. Secondly, the eigenvalues are projected onto the eigenspace by means of the covariance matrix. Finally, image classification is performed by adopting RBF and PNN neural networks as classifiers respectively. Meanwhile, some theoretical analyses are given to support the proposed method.

关键词：图像分类分类算法神经网络分类器矩阵特征值奇异值分解协方差矩阵射影分类特征空间

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Design and implementation of the Zigbee-based body sensor network system

Design and implementation of the Zigbee-based body sensor ne...

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5th International Conference on Wireless Communications, Networking and Mobile computing, WiCOM 2009

作者： Chengcheng, Ding Xiaopei, Wu Zhao, Lv Key Laboratory of Intelligent Computing and Signal Processing China Anhui University Hefei Anhui Province

ISBN: (纸本)9781424436934

Tranditionally the medical monitoring used in hospital brought a lot inconvenience because of the complex wires between patients and equipments. In order to solve these problems, a human health wireless monitoring system based on Zigbee wireless communications is proposed. The system proposes multiple wireless physiological sensors to form a expandable wireless sensor network system architecture. Then the structure of the system used in wireless sensor nodes is introduced and the purpose is to collect the patients' physiological information, such as pulse, temperature, basically realize remote medical monitoring for patients. This system can not only realize accurate measurement of indicators, but also save the patients' travel between home and the hospital. ©2009 IEEE.

关键词： Zigbee

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Nonlinear dynamics in Internet congestion control model with TCP Westwood under RED

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The Journal of China Universities of Posts and Telecommunications 2009年第4期16卷 53-58页

作者： DING Da-wei ZHU Jie LUO Xiao-shu HUANG Lin-sheng HU Yan-jun Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Department of Electronic Engineering Shanghai Jiaotong University Shanghai 200240 China School of Electronic Engineering Guangxi Normal University Guilin 541004 China

This article develops a discrete time dynamic feedback model of a congestion control system for a simple network with TCP Westwood （TCPW） connections and a single bottleneck link with random early detection （RED） gateway. By using this model, the nonlinear dynamics of the TCPW/RED network are analyzed and its parameter sensitivities are studied. It is shown that periodic doubling bifurcation occurs when the RED control parameters or other parameters are varied. By theoretical analysis, the fixed point, the critical value of parameters and the nature of the bifurcation are determined. Moreover, by using bifurcation diagrams and Lyapunov exponent, the result of theoretical analysis is validated and the bifurcation and chaotic phenomena are numerically studied of the congestion control system with TCPW connections and RED gateway.

关键词： nonlinear system bifurcation chaos congestion control TCP Westwood RED

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Design and implementation of an improved BCI System based on alpha rhythm

Design and implementation of an improved BCI System based on...

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3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

作者： Bing, Wei Xiaopei, Wu Daoxin, Zhang Key Laboratory of Intelligent Computing and Signal Processing China of Anhui University Hefei Anhui Province China

ISBN: (纸本)9781424429028

This paper introduces an improved BCI system based on alpha rhythm, the main composition units of the system are electrodes, acquisition circuit, online detecting algorithm and outer devices. For improving the performance of BCT systems, a new algorithms for alpha wave detection is proposed, which can reduce EEG baseline wandering and energy fluctuation efficiently and make the BCI system work more stable. Based on the BCI system, experiments of media player control are carried out among different subjects, which show that the system has an excellent performance in alpha wave detection and real-time controlling. ©2009 IEEE.

关键词： Brain computer interface

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Risk analysis of physical protection system based on evidence theory

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Journal of Information and Computational Science 2010年第13期7卷 2871-2878页

作者： Xu, Peida Su, Xiaoyan Wu, Jiyi Sun, Xiaohong Zhang, Yajuan Deng, Yong College of Computer and Information Sciences Southwest University Chongqing 400715 China Hangzhou Key Lab of E-Business and Information Security Hangzhou Normal University Zhejiang 310036 China College of Food Science and Technology Shanghai Ocean University Shanghai 201306 China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 China Key Subject Laboratory of National defense for Radioactive Waste and Environmental Security Southwest University of Science and Technology Mianyang 621010 China School of Electronics and Information Technology Shanghai Jiao Tong University Shanghai 200240 China

关键词： Information fusion

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Segmentation of brain MR images based on t-mixture model

Segmentation of brain MR images based on t-mixture model

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3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

作者： Haifeng, Zhao Xingming, Xu Sibao, Chen Bin, Luo Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781424429028

As Magnetic Resonance Imaging (MRI) is an important technology of radiological evaluation and computeraided diagnosis, the accuracy of the MR image segmentation directly influences the validity of following processing. The paper concerns medical image segmentation based on t-mixture model because of merits of the model. By analyzing the features of MR images, the main procedure of white matter segmentation of brain MR Images based on t-mixture model is outlined follows. The parameters of t-mixture model for the image are firstly estimated. Then the posterior probabilities of the pixels of the image are computed. At last, the image is segmented according to the Bayes decision rule for minimum error. Experimental results show that t-mixture model fits for medical image segmentation. ©2009 IEEE.

关键词： Magnetic resonance imaging

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Despeckling SAR images using bayes-shrink in bandelet domain

Despeckling SAR images using bayes-shrink in bandelet domain

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2009 2nd International Congress on Image and signal processing, CISP'09

作者： Yanan, Xu Qingwei, Gao Yixiang, Lu Weinian, Zhong Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Institute of Electronic Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781424441310

Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. This paper presents a despeckling method for SAR images based on adaptive bandelets thresholding. This threshold is derived in a Bayesian framework. The proposed threshold is simple and closed form, and it is applied to adaptive bandelets coefficients to achieve more satisfying results. The performances of adaptive bandelets Bayesshrink soft-thresholding and wavelet thresholding for despeckling SAR images are compared through an experiment. Experiment results clearly demonstrated the capability of the proposed scheme in SAR image speckle reduction especially for SAR images possessing detailed textures. ©2009 IEEE.

关键词： Synthetic aperture radar

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