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

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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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

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. Copyright © 2010 Binary Information Press.

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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Development of a human computer Interface system using EOG

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Health 2009年第1期1卷 39-46页

作者： Zhao Lv Xiao-Pei Wu Mi Li De-Xiang Zhang The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education China Anhui University The First Aeronautical College of Air-Force

Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transforms electrical po-tentials recorded by horizontal and vertical EOG into a computer in order to control external equipment. The system consists of EOG acqui-sition unit, EOG pattern recognition part and control command output unit. Three plane elec-trodes are employed to detect EOG signals, which contain the information related to the eye blinking and vertical (or horizontal) eye move-ments referred to pre-designed command table. An online signal processing algorithm is de-signed to get the command information con-tained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.

关键词： Human Computer Interface (HCI) Elec- trooculogram (EOG) Blinking Eye Movements

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The implementation of the web mining based on XML technology

The implementation of the web mining based on XML technology

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2009 International Conference on Computational Intelligence and Security, CIS 2009

作者： Zheng, Cheng Fang, Yong Shen, Yaping Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9780769539317

The rapid development of the Web technology makes the Web mining become the focus of the current data mining, and the XML technology also becomes the standard of the data exchange on the Web. The paper introduces the Web mining technology, implements a frame of the Web mining based on the XML technology according to the advantage of XML in the data description, describes the implementation process of specific Web mining, and puts forward a promoting scheme on solving XML documents with VTD which solves the difficult mining problem on the Web caused by the most of the non-structure information. © 2009 IEEE.

关键词： XML

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Depth Estimation from Defocus Images Based on Oriented Heat-Flows

Depth Estimation from Defocus Images Based on Oriented Heat-...

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International Conference on Machine Vision (ICMV)

作者： Liu Hong Jia Yu Cheng Hong Wei Sui Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China

The amount of blur on the defocus image depends on the depth information of the scene. So depth of the scene can be estimated by calculating the blur with the knowledge of the lens parameters. A novel depth estimation mode based on oriented heat-flows is proposed in this paper. In this model, the process of image defocusing is described using oriented heat-flows diffusion. The diffusion can be seen as the coupling of two weighted heat flows along orthonormal directions. The diffusion directions are defined by the local coherence geometry of image and the diffusion strength is the function of blur amount. Experimental results show that the model is quite effective and the emergence of artificial depth information in edge can be avoided by using this model.

关键词： Lenses Layout Focusing Computer vision Design for disassembly Cameras Frequency domain analysis Deconvolution Apertures Polynomials

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Shape Representation and Clustering Based on Laplacian Spectrum

Shape Representation and Clustering Based on Laplacian Spect...

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Congress on Image and signal processing, CISP

作者： Hong-Fei Pan Don Liang Jun Tang Nian Wang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

The spectrum of a graph has been widely used to characterize the properties of a graph and extract information from its structure. In this paper, we investigate the performance of Laplacian spectrum and multidimensional scaling (MDS) as shape recognition and clustering. Firstly, we extract boundary points to characterize the shape and to construct the Laplacian matrix. Secondly, the structural information about graph is described by using the eigenvalues of the Laplacian matrix. Finally, the given shapes are projected onto the low-dimensional space by performing MDS. Meanwhile, the clustering is achieved via analyzing the distribution of shapes. Comparative experiments on the public data sets demonstrate the validation of the proposed algorithm.

关键词： Laplace equations Eigenvalues and eigenfunctions Histograms Data mining Multidimensional systems Costs Feature extraction Shape measurement intelligent structures Multidimensional signal processing

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Foundation of granular computing

Foundation of granular computing

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2009 International Conference on Theoretical and Mathematical Foundations of Computer Science, TMFCS 2009

作者： Zhao, Liquan Zhang, Ling Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing 210003 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China Artificial Intelligence Institute Anhui University Hefei 230039 China

ISBN: (纸本)9781615676583

Granular computing which imitates the manner of human thinking is the foundation of artificial intelligence. This paper discusses some operations of granules including quotient intersection, quotient union, quotient complement and quotient difference. Then defines a knowledge space and presents it by a group of basis. Besides we introduce granule spaces and their main properties.

关键词： Granular computing

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Multiuser-based gray-level watermarking sharing system

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Journal of Multimedia 2009年第6期4卷 341-348页

作者： Luo, Bin Wu, Youqing Tang, Jin Lv, Wanli Gu, Wei Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei Anhui China

A novel watermarking sharing system having the ability of sharing gray-level secret images with multi-user is proposed. Multiple-based number system is used to split the secret into n meaningless shares, each share is embedded into respective cover image with controlled distortion and to be assigned to each user afterwards. The architecture of the proposed watermarking system is an open issue, which means the system is easy to be implemented according to the purposes and concerns of the users. The main feature of the proposed system is sharing a secret of gray-level image among multi-users;another application of such system is ownership verification. To reveal the secret, the necessary amount of shares has to be presented. That is, the secret can be recovered even if some shares were lost. Simulation results show that the recovered secret has robustness against a wide range of imaging processing operations. © 2009 ACADEMY PUBLISHER.

关键词： Numbering systems

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