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A METHOD TO APPROACH OPTIMAL RESTORATION IN IMAGE RESTORATION PROBLEMS WITHOUT NOISE ENERGY INFORMATION

Acta Mathematica Scientia 2003年第4期23卷 512-520页

作者：曾三友丁立新康立山 State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China Deptartment of Computer Science Zhuzhou Institute of Technology Zhuzhou 402008 China State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China

This paper proposes a new image restoration technique, in which the resulting regularized image approximates the optimal solution steadily. The affect of the regular-ization operator and parameter on the lower band and upper band energy of the residue of the regularized image is theoretically analyzed by employing wavelet transform. This paper shows that regularization operator should generally be lowstop and highpass. So this paper chooses a lowstop and highpass operator as regularization operator, and construct an optimization model which minimizes the mean squares residue of regularized solution to determine regularization parameter. Although the model is random, on the condition of this paper, it can be solved and yields regularization parameter and regularized solution. Otherwise, the technique has a mechanism to predict noise energy. So, without noise information, it can also work and yield good restoration results.

关键词： Regularization method image restoration wavelet transform

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Solving A Kind of High Complexity Multi-Objective Problems by A Fast Algorithm

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Wuhan University Journal of Natural sciences 2003年第S1期8卷 183-188页

作者： Zeng San-you, Ding Li-xin, Kang Li-shandepartment of computer science,China University of Geosciences, Wuhan 430074, Hubei, China department of computer science, Zhuzhou Institute of technology , Zhuzhou 412008, Hunan, China state key laboratory of software Engineering, Wuhan University, Wuhan 430072, Hubei, China Department of Computer Science China University of GeoSciences Wuhan Hubei China Department of Computer Science Zhuzhou Institute of Technology Zhuzhou Hunan China State Key Laboratory of Software Engineering Wuhan University Wuhan Hubei China

A fast algorithm is proposed to solve a kind of high complexity multi-objective problems in this paper. It takes advantages of both the orthogonal design method to search evenly, and the statistical optimal method to speed up the computation. It is very suitable for solving high complexity problems, and quickly yields solutions which converge to the Pareto-optimal set with high precision and uniform distribution. Some complicated multi-objective problems are solved by the algorithm and the results show that the algorithm is not only fast but also superior to other MOGAS and MOEAs, such as the currently efficient algorithm SPEA, in terms of the precision, quantity and distribution of solutions.

关键词： evolutionary algorithms orthogonal design multi-objective optimization Pareto-optimal set

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Attribute reduction of rough sets in mining market value functions

Attribute reduction of rough sets in mining market value fun...

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IEEE/WIC International Conference on Web Intelligence, WI 2003

作者： Huang, Jiajin Liu, Chunnian Ou, Chuangxin Yao, Y.Y. Zhong, N. Mutimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina ReginaSKS4S 0A2 Canada Department of Information Engineering Macbashi Institute of Technology Maebashi-City371-0816 Japan

ISBN: (纸本)0769519326

The linear model of market value functions is a new method for direct marketing. Just like other methods in direct marketing, attribute reduction is very important to deal with large databases. We apply the algorithm of attribute reduction, which is based on the combination of rough set theory with the boosting algorithm, to the linear model of market value functions. Experimental results compared with the ELSA/ANN model show that the proposed algorithms can be used effectively in the linear model of market value functions. © 2003 IEEE.

关键词： Data mining

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Collaborative Intrusion Detection Based on Coordination Agent

Collaborative Intrusion Detection Based on Coordination Agen...

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The Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies

作者： Ran Zhang Depei Qian Heng Chen Weiguo Wu Department of Computer Science and Technology Xi'an Jiaotong University State Key Laboratory on Software Development Environment Beihang University

Based on the analysis of characteristics of current attacks,a collaborative intrusion detection model using coordination agent is *** this paper defines the inner structure of intrusion detection agents, introduces its collaboration principle and security solution. On the basis of the above research,an effective algorithm of collaborative detection is put *** this model,the complicated collaboration task is finished by some separate coordination agents,which are responsible for synthetically analyzing the detection task that the lower agents are unable to finish and are able to assign the task to the lower associated *** not only simplifies the building of detection agents and improves the extent and efficiency of collaboration,thus overcoming the shortcomings of direct collaboration among agents in traditional methods,but also enhances the capability of detecting complex *** the same time,an example shows the feasibility and validity of the model and the algorithm.

关键词： Intrusion Intrusion detection Coordination agent Collaborative detection

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Solving Integer Programming by Evolutionary Soft Agent

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Wuhan University Journal of Natural sciences 2003年第S1期8卷 283-286页

作者： Yin Jiandepartment of computer science, Zhongshan University, Guangzhou 510275,Guangdong, Chinastate key laboratory for Novel software technology, Nanjing University, Nanjing 210093, Jiangsu, China Department of Computer Science Zhongshan University Guangzhou Guangdong China State Key Laboratory for Novel Software Technology Nanjing University Nanjing Jiangsu China

Many practical problems in commerce and industry involve finding the best way to allocate scarce resources a-mong competing activities. This paper focuses on the problem of integer programming, and describes an evolutionary soft a-gent model to solve it. In proposed model, agent is composed of three components: goal, environment and behavior. Experimental shows the model has the characters of parallel computing and goal driving.

关键词： agent integer linear programming duplication

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Intrusion discovery with data mining on Honeynet

Intrusion discovery with data mining on Honeynet

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jian Yin Gang Zhang Yi-Qun Chen Department of Computer Science Zhongshan University Guangzhou China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China

ISBN: (纸本)0780378652

In order to construct a secure network, attack and intrusion mode of intruders are analyzed for improving the capability of IDS and firewall systems. This paper presents a method for constructing a network intrusion and attack detection system on Honeynet, which is a true network that is constructed for the purpose of gathering information of intruders and attackers. Analyzing these data with data mining algorithm can work our attack modes, in this paper, we propose some method for mining patterns on various data from firewall records and log server in Honeynet, and the result can be in various forms such as associated rules of historic data or certain data structures required by IDS and firewall systems.

关键词： Data mining Intrusion detection Production Data analysis Productivity computer science Laboratories Electronic mail Abstracts Pattern analysis

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Collaborative intrusion detection based on coordination agent

Collaborative intrusion detection based on coordination agen...

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IEEE International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)

作者： Ran Zhang Depei Qian Heng Chen Weiguo Wu Department of Computer Science and Technology Xi'an Jiaotong University Xi'an China State Key Laboratory on Software Development Environment Beihang University Beijing China Department of Computer Science and Technology Xi'an Jiaotong University Xi'an

Based on the analysis of characteristics of current attacks, a collaborative intrusion detection model using coordination agent is proposed. Then we define the inner structure of intrusion detection agents, introduces its collaboration principle and security solution. On the basis of the above research, an effective algorithm of collaborative detection is put forward. In this model, the complicated collaboration task is finished by some separate coordination agents, which are responsible for synthetically analyzing the detection task that the lower agents are unable to finish and are able to assign the task to the lower associated agents. It not only simplifies the building of detection agents and improves the extent and efficiency of collaboration, thus overcoming the shortcomings of direct collaboration among agents in traditional methods, but also enhances the capability of detecting complex attacks. At the same time, an example shows the feasibility and validity of the model and the algorithm.

关键词： Collaboration Intrusion detection computer hacking Data security Floods computer networks Radio access networks computer science Programming Availability

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Seamless provisioning of service in the ubiquitous computing environment

Seamless provisioning of service in the ubiquitous computing...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： En-Yi Chen De-Gan Zhang Yuan-Chun Shi Guang-You Xu The State Key Laboratory of Intelligence System and Technology Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)0780378652

In the ubiquitous computing environment (UCE), how to seamlessly provision the service or application to its occupant or its mobile user is an interesting research topic. This paper introduces our two UCEs called smart classroom (SCR) and intelligent meeting room (IMR) respectively. When a teacher gives his lesson in the SCR, different services will automatically be provisioned to him according to captured context information. When the users with various kinds of portable devices, such as PDA, mobile phone or laptop, attend a meeting in IMR, they can easily organize a meeting and unobtrusively access the services provided by IMR, for example, they could give presentation by "projector service". The paper also describes the software infrastructure of SCR and IMR - smart platform, a multi agents (MAs) system.

关键词： Ubiquitous computing Pervasive computing Thyristors Portable computers Application software Mobile computing Embedded software computer networks Space technology Education

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Design of a parser for real-time process algebra

Design of a parser for real-time process algebra

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Canadian Conference on Electrical and computer Engineering (CCECE)

作者： Jianhua Zhao Yingxu Wang State Key Laboratory of Novel Software Technology Department of Computer Science and Technology University of Calgary Nanjing University Jiangsu China Theoretical and Empirical Software Engineering Research Centre Department of Electrical and Computer Engineering University of Calgary Calgary AB Canada

ISBN: (纸本)0780377818

The real-time process algebra (RTFA) is a set of new mathematical notations for formally describing software system architectures, and static and dynamic behaviors. To bring RTPA into industrial software development practice, tools are needed for analyzing and visualizing RTPA specifications. The first step to develop the supporting tools is to build a grammar parser for recognizing the RTPA notation system. In this paper, a parser of RTPA is described. The parser takes a textual RTPA specification as input, and generates an abstract syntax tree (AST) as its output. The generated AST represents RTPA tokens and lexical information in a structured format, which provides a foundation for further semantic analysis, code generation, visualization, and validation.

关键词： Algebra Real time systems computer architecture Java software engineering Visualization computer science Drives software systems computer industry

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Online recommendation based on customer shopping model in e-commerce 03

Online recommendation based on customer shopping model in e-...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Junzhong Ji Zhiqiang Sha Chunnian Liu Ning Zhong College of Computer Science and Technology Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology Beijing University of Technology Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi Japan

ISBN: (纸本)0769519326

As e-commerce developing rapidly, it is becoming a research focus about how to capture or find customer's behavior patterns and realize commerce intelligence by use of Web mining technology. Recommendation system in electronic commerce is one of the successful applications that are based on such mechanism. We present a new framework in recommendation system by finding customer model from business data. This framework formalizes the recommending process as knowledge representation of the customer shopping information and uncertainty knowledge inference process. In our approach, we firstly build a customer model based on Bayesian network by learning from customer shopping history data, then we present a recommendation algorithm based on probability inference in combination with the last shopping action of the customer, which can effectively and in real time generate a recommendation set of commodity.

关键词： Data mining Business Knowledge representation Collaboration Web mining Uncertainty Bayesian methods History Inference algorithms Filtering

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