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H∞ Synchronization of Impulsively-Coupled Complex Switched Networks

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H∞ Synchronization of Impulsively-Coupled Complex Switched ...

Network Security Transmission Based on Bimatrix Game Theory

2011 Chinese Control and Decision Conference（CCDC）

作者： mengfan cheng1,hanping hu2 1.institute for pattern recognition and artificial intelligence,huazhong university of science and technology,wuhan,43.074,china2.institute for pattern recognition and artificial intelligence,huazhong university of science and technology,wuhan,43.074,china

This paper deals with the problem of robust H∞ synchronization for a class of impulsively-coupled complex switched networks with parametric uncertainties and time *** system under consideration involves time delay in the state and parameter *** using the switched Lyapunov function approach,some sufficient conditions are developed to guarantee the robust synchronization of the *** the mean time,H∞ norm from the external disturbance to the synchronization error is reduced to a disturbance attenuation *** the results are given in terms of linear matrix inequalities (LMIs).A numerical example is presented to demonstrate the effectiveness of the algorithm.

关键词： H∞ synchronization Complex switched networks Impulsively coupled Linear matrix inequality

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wuhan university Journal of Natural sciences 2006年第3期11卷 617-620页

作者： ZHENG Ying hu hanping GUO Wenxuan institute of Image recognition and artificial intelligence Huazhong University of Science and Technology Wuhan 430074 Hubei China

Based on the bimatrix game theory, the network data transmission has been depicted in a game theory way： the actions of the attacker and defender （legitimate users） are depicted within a two-person, non-cooperative and bimatrix game model, this paper proves the existence of the Nash equilibrium theoretically, which is further illustrated by the experimental resuhs.

关键词： security transmission game theory bimatrix game Nash equilibrium

A Network-Based VPN Architecture Using Virtual Routing

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wuhan university Journal of Natural sciences 2005年第1期10卷 161-164页

作者： ZHANG Bao-liang 1,2,hu Han-ping 1,2,WU Xiao-gang 1,2, KONG Tao 31.State Education Ministry Key Laboratory of Image Information and Intelligent Control, wuhan 43.074, hubei, china 2.institute of Pattem recognition and artificial Intelligonce, huazhong university of science and technology, wuhan 43.074, hubei, china 3.709th Research institute of china Shipbuilding Engineering Society, wuhan 43.074, hubei, china State Education Ministry Key Laboratory of Image Information and Intelligent Control Wuhan China huazhong university of science and technology Institute of Pattern Recognition and Artificial Intelligonce Wuhan China (GRID:grid.33199.31) (ISNI:***) State Education Ministry Key Laboratory of Image Information and Intelligent Control Wuhan China (GRID:grid.33199.31) huazhong university of science and technology Institute of Pattern Recognition and Artificial Intelligonce Wuhan China (GRID:grid.33199.31) (ISNI:***) 709th Research institute of china Shipbuilding Engineering Society Wuhan China (GRID:grid.33199.31)

A network-based Virtual Private Network (VPN) architecture by using fundamental routing mechanism is proposed. This network is a virtual overlay network based on the relay of IP-in-IP tunneling of virtual routing modules. The packet format employs the encapsulation of IPSec ESP(Encapsulating Security Payload), an impact path code and an extended DS(Differentiated Services) code to support multi-path routing and QoS. Comparing with other models of VPN, this network system can be deployed in the current network with little investment, and it is easy to implement. The simulation result shows its performance is better than the traditional VPN system of black box mode.

关键词： virtual routing network-based VPN proactive defense

Gravel Image Segmentation in Noisy Background Based on Partial Entropy Method

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Journal of Earth science 2000年第1期19卷 94-96页

作者： Wang Guangjun Tian Jinwen Chen Zhenyu Liu JianState Key Laboratory for Image Processing and Intelligent Control, institute for pattern recognition and artificial intelligence, huazhong university of science and technology, wuhan 43.074 Wu Guoping

Because of wide variation in gray levels and particle dimensions and the presence of many small gravel objects in the background, as well as corrupting the image by noise, it is difficult to segment gravel objects. In this paper, we develop a partial entropy method and succeed to realize gravel objects segmentation. We give entropy principles and fast calculation methods. Moreover, we use minimum entropy error automaticly to select a threshold to segment image. We introduce the filter method using mathematical morphology. The segment experiments are performed by using different window dimensions for a group of gravel image and demonstrates that this method has high segmentation rate and low noise sensitivity.

关键词： partial entropy segmentation mathematical morphology gravel threshold filter.

Terrain Simplification Research in Augmented Scene Modeling

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Journal of china university of Geosciences 2001年第4期12卷 351-355页

作者： Ming Delie You Kefei Tian Jinwen Liu Jian State Key Laboratory for Image Processing and Intelligent Control, institute for pattern recognition and artificial intelligence , huazhong university of science and technology , wuhan 43.074 Wang Guangju State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 Faculty of Information Engineering China University of Geosciences Wuhan 430074

Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has gained more and more attention. In this paper, we mainly focus on point selection problem in terrain simplification using triangulated irregular network. Based on the analysis and comparison of traditional importance measures for each input point, we put forward a new importance measure based on local entropy. The results demonstrate that the local entropy criterion has a better performance than any traditional methods. In addition, it can effectively conquer the 'short-sight' problem associated with the traditional methods.

关键词： augmented reality scene modeling terrain simplification triangulated irregular network importance measures local entropy.

A Robust Approach to Authentication of Binary Image for Multimedia Communication

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A Robust Approach to Authentication of Binary Image for Mult...

CLOUD IMAGE DETECTION BASED ON MARKOV RANDOM FIELD

2004 International Symposium on Distributed Computing and Applications to Business, Engineering and science

作者： Jin WU~(1 2) Bei-bei XIA~1 Jian LIU~2 Jin-wen TIAN~2 1 College of Information science and Engineering wuhan university of science and technology wuhan hubei 430081 china 2 institute for pattern recognition and artificial intelligence huazhong university of science and technology wuhan hubei 43.074 china

＜正＞In recent years,digital watermarking techniques have been proposed to protect the copyright of multimedia data. Different watermarking schemes have been suggested for images,while there is little discussion about binary image. Basing on the analysis of the principle of digital watermarking and a spatial domain algorithm,we propose a watermarking algorithm--the discrete cosine transforms （DCT） to realize the authentication of binary *** experiment results show that the DCT algorithm is feasible to binary *** with the spatial domain algorithm,the watermarked image by the DCT almost has no distortions and is robust to common signal distortions, including geometric manipulations.

关键词： Digital watermarking Binary image DCT Authentication Robust Multimedia Communication

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Journal of Electronics(china) 2012年第Z2期 262-270页

作者： Xu Xuemei Guo Yuanwei Wang Zhenfei* (School of Physics and Electronics, Central South university, Changsha 410083, china) *(institute for pattern recognition and artificial intelligence, huazhong university of science and technology, wuhan 410074, china)

In order to overcome the disadvantages of low accuracy rate, high complexity and poor robustness to image noise in many traditional algorithms of cloud image detection, this paper proposed a novel algorithm on the basis of Markov Random Field (MRF) modeling. This paper first defined algorithm model and derived the core factors affecting the performance of the algorithm, and then, the solving of this algorithm was obtained by the use of Belief Propagation (BP) algorithm and Iterated Conditional Modes (ICM) algorithm. Finally, experiments indicate that this algorithm for the cloud image detection has higher average accuracy rate which is about 98.76% and the average result can also reach 96.92% for different type of image noise.

关键词： Cloud image detection Markov Random Field (MRF) Belief Propagation (BP) Iterated Conditional Modes (ICM)

Generic Object recognition with Biologically-Inspired Features

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Generic Object Recognition with Biologically-Inspired Featur...

A Multi-homed VPN Architecture Based on Extended SOCKS+TLS Protocols

2009 Fourth International Conference on Bio-Inspired Computing:Theories and Applications(BIC-TA2009)

作者： Changxin Gao 1 Nong Sang 2 Jun Gao 3 Lamei Zou 4 and Qiling Tang 5 institute for pattern recognition and artificial intelligence huazhong university of science and technology wuhan 43.074 china

In this paper,a set of biologically-inspired features are presented for robust object *** proposed pyramidal feature set is obtained by extracting the geometric relationship of keypoints using a set of biologically inspired templates in different *** is proposed to describe the *** paper brings together new algorithms,representations,and insights which are quite generic and may well have broader applications in computer *** proposed approach has following ***,lifetime is applied to describe the stability of the ***,the templates,which are used to extract the geometric relationships between the keypoints,are biologically inspired structure information extractors or texture information ***,the proposed approach successfully achieves an effective trade-off between generalization ability and discrimination ability for object recognition *** experimental results on object recognition demonstrate the effectiveness of the proposed method.

关键词： geometric relationship keypoints visual cortex generalization ability discrimination ability

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Journal of Shanghai Jiaotong university(science) 2005年第3期10卷 250-255页

作者：张宝良胡汉平陈翔 State Education Ministry Key Lab. of Image Information & Intelligent Control In st. of pattern recognition & artificial intelligence Huazhong Univ. of Science & Technology Wuhan 430074 China

A multi-homed VPN architecture based on extended SOCKSv5 and TLS was proposed. The architecture employs a dynamic connection mechanism for multiple proxies in the end system,i n which the security-demanded transmission connections can switch smoothly among the multiple proxies by maint aining a coherent connection *** mechanism is transparent to application programs and can support th e building of *** the cooperation of some other security components,the mechanism guarantees the reso urce availability and reliability of the end system against some attacks to the specific ports or hosts.

关键词： multi-homed SOCKSv5 security connection context virtual private network (VPN)