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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： PENG YU DA-YOU LIU College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Uni

Aiming at the larger search space of learning clause in Inductive Logic Programming, we put forward the definitions of the predicate template and the clause template to reduce search *** suggest IMPI algorithm, which is a genetic algorithm combining immune mechanism and uses the clause template as genetic code to learn the clause template of required *** uses immune mechanism to invent new predicates, which can extend the hypothesis language, find better *** we design when to invent *** obtaining the clause template, we use a general method based on generalization and information gain sampling to convert clause template to *** design the corresponding fitness function and genetic *** indicates that this algorithm can reduce the search space, improve the efficiency of search algorithm and can learn recursion clause by theoretical analysis and experiment *** is an effective clause learning algorithm.

关键词： Inductive logic programming Clause template Immune mechanism Recursion clause Information gain Genetic algorithm

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An improved ant colony optimization algorithm based on route optimization and its applications in travelling salesman problem

An improved ant colony optimization algorithm based on route...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Zhang, Yi Pei, Zhi-Li Yang, Jin-Hui Liang, Yan-Chun College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Department of Computer Science Jilin Business and Technology College College of Mathematics and Computer Science Inner Mongolia University for Nationalities

ISBN: (纸本)1424415098

In this paper, we introduce two improvements on Ant Colony Optimization (ACO) algorithm: route optimization and individual variation. The first is an optimized implementation of ACO, by which the running time of ants routing is largely reduced. The results of the simulated experiments show that the improved algorithm not only reduces the number of routing in the ACO but also surpasses existing algorithms in performance in solving large-scale TSP problems. In the second improvement, we introduce individual variation to ACO, by which the ants have different routing strategies. Simulation results show that the speed of convergence of ACO algorithm could be enhanced greatly. ©2007 IEEE.

关键词： Ant colony optimization

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A NEW TECHNIQUE FOR RAY TRACING POINT-BASED GEOMETRY

A NEW TECHNIQUE FOR RAY TRACING POINT-BASED GEOMETRY

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： YONG QUAN ZHEN-HUA ZHANG WEN-HUI LI WEI LIU Computer Graphics Laboratory College of Computer Science and Technology Jilin University Qianwei Road Changchun 130012 P.R.China Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education

In this paper a new technique for ray tracing point-based models is *** approach offers a higher ray tracing speed in comparison with previous *** pre-process, we add an important attribute to each point for the purpose of ray *** rendering, an algorithm of intersecting a ray with point geometry is demonstrated to get satisfied *** approach makes it possible to render high quality ray traced images with global *** performs well especially in the way of boundary *** have tested our idea for shadows, reflection and refraction.

关键词： Points Neighbor radius Ray tracing Intersection algorithm Boundary representation

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Translating PDDL Tasks into Multi-valued Conformant Planning Tasks

Translating PDDL Tasks into Multi-valued Conformant Planning...

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International Conference on Fuzzy Systems and knowledge Discovery (FSKD)

作者： Jingjing Zhao Jigui Sun Minghao Yin College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Business Administration Changchun University of Technology China

In this paper, we formally define the problem of conformant planning with multi-valued state variables, namely multi-valued conformant planning task (MCPT), and present an algorithm for transforming conformant planning problems specified in Planning Domain Definition Language (PDDL) into MCPTs. The algorithm can deal with the uncertainties of initial conditions and disjunctive goals according to two important relaxed conditions.

关键词： Technology planning Uncertainty educational institutions educational technology State-space methods Computer science Laboratories knowledge engineering Computer science education Path planning

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Anomaly Intrusion Detection Methods for Peer-to-Peer System

Anomaly Intrusion Detection Methods for Peer-to-Peer System

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IFIP International Conference on Network and Parallel Computing Workshops (NPC Workshops)

作者： Daxin Tian Yanheng Liu Bin Li College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China College of Mathematics Science Jilin University Changchun China

Peer-to-peer systems and applications are the hotspot of research of network applications. As peer-to-peer system has no central system and is deployed on an open network, new concerns regarding security have been raised. As an additional security measure, the intrusion detection system would help determine whether unauthorized users are attempting to access, have already accessed, or have compromised the network Intrusion detection, as the second line of defense, is an indispensable tool for highly survivable networks. In this paper two anomaly intrusion detection methods are proposed for peer-to-peer system. The main characters of the methods are that they can detect intrusion in real-time without any expert knowledge and attack signatures. One method uses hidden Markov model to check reflector DoS attacks, another based on adaptive resonance theory, which can learn the normal behavior with unsupervised method. The experimental P2P system is built on FreePastry 1.401 and JDK 1.5.0. The results have indicated that the methods can find DoS attacks immediately and find new intruders with low false alarm rate.

关键词： Intrusion detection Peer to peer computing Computer crime Hidden Markov models Resonance Protection Communication system security educational institutions Application software Authentication

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Making FF Faster in ADL Domains

Making FF Faster in ADL Domains

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International Conference on Natural computation (ICNC)

作者： Dunbo Cai Jigui Sun Minghao Yin College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China School of Computer Science Northeast Normal University Changchun Jilin China

The fast-forward planning system (FF), which obtains heuristics via a relaxed planning graph to guide the enforced hill-climbing search strategy, has shown excellent performance in most STRIPS domains. When it comes to ADL domains, FF handles actions with conditional effects in a way similar to factored expansion. The result is that enforced hill-climbing guided by the relaxed Graphplan always fails in some ADL domains. We have discovered that the reason behind this issue is the relaxed Graphplan's inability to handle relationships between actions' components. We propose a novel approach called delayed partly reasoning on a naive conditional-effects planning graph (DP-CEPG). We do not ignore action's delete effects and consider restricted induced component mutual exclusions between factored expanded actions. Preliminary results show that enforced hill-climbing while guided by DP-CEPG gains obvious improvements in most ADL problems in terms of both solution length and runtime.

关键词： Computer science Strategic planning Technology planning Strips State estimation educational institutions educational technology Laboratories knowledge engineering Computer science education

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SEGMENTATION-BASED IMAGE RETRIEVAL

SEGMENTATION-BASED IMAGE RETRIEVAL

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： WEN-HUI LI GANG WANG ZHEN-HUA ZHANG YI-NAN LU College of Computer Science and Technology Jilin University Changchun 130012 China Key laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education Jilin Unive

Color features are important to pictures and they are easy to ***, the features are widely used in content-based image retrieval (CBIR)[4][7].In the meantime, it lacks space *** this paper, color spaces are analyzed and YUV color space is *** and texture features are extracted in segmentation block, so there are space *** color, major segmentation block, a new kind of color quantization and a new Gray scale co-existing matrix's method are *** approach is described in detail and compared with other methods presented in the literature to deal with the same *** experiments are finished and show that the method in this paper is effective and efficient.

关键词： Image retrieval Color histogram Content-based image retrieval (CBIR) Texture feature Image segmentation

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A Prototype of Semantic-Based Intelligent Search Engine for Chinese Documents

A Prototype of Semantic-Based Intelligent Search Engine for ...

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International Conference on Fuzzy Systems and knowledge Discovery (FSKD)

作者： Haiyan Che Jigui Sun Tao Jing Xi Bai Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University College of Computer Science and Technology Jilin University Changchun China Jilin University Changchun Jilin CN

To overcome the shortcomings of traditional search engines, advocates a prototype of semantic-based search engine, called CRAB. By combining technologies of semantic Web, information extraction (IE), natural language processing (NLP) and a novel theme-based method, this framework can extract factual knowledge from Chinese natural language documents automatically. Instead of list of document links, results of user's query request returned from CRAB are semantically coherent reports generated intelligently, which can satisfy users greatly.

关键词： Prototypes Search engines Data mining Ontologies educational institutions Computer science educational technology Web pages Laboratories knowledge engineering

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A Method of Gene-Function Annotation Based on Variable Precision Rough Sets

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Journal of Bionic engineering 2007年第3期4卷 177-184页

作者： Zhi-li Pei Xiao-hu Shi Meng Niu Xu-ning Tang Li-sha Liu Ying Kong Yan-chun Liang College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun 130012 P. R. China College of Mathematics and Computer Science Inner Mongolia University for NationalitiesTongliao 028043 P. R. China College of Software Jilin University Changchun 130012 P. R. China Department of Biochemistry and Molecular Biology Institution of Glycobiology Dalian Medical University Dalian 116027 P. R. China

It is very important in the field of bioinformatics to apply computer to perform the function annotation for new sequenced bio-sequences. Based on GO database and BLAST program, a novel method for the function annotation of new biological sequences is presented by using the variable-precision rough set theory. The proposed method is applied to the real data in GO database to examine its effectiveness. Numerical results show that the proposed method has better precision, recall-rate and harmonic mean value compared with existing methods.

关键词： gene function annotation variable precision rough set GO BLAST

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A populations evolution study using the genotype frequency data of single nucleotide polymorphism from Y-chromosome

A populations evolution study using the genotype frequency d...

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2007 1st International Conference on Bioinformatics and Biomedical engineering, ICBBE

作者： Pei, Zhili Kong, Ying Shi, Xiaohu Lian, Zhichao Tang, Xuning Liu, Lisha Cao, Zhongbo Liang, Yanchun Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Chang'chun 130012 China College of Mathematics and Computer Science Inner Mongolia University for Nationalities Tong'liao 028043 China Department of Biochemistry and Molecular Biology Institution of Glycobiology Dalian Medical University Da'lian 116027 China

ISBN: (纸本)1424411203

This paper proposes a novel way for the population evolution research. In the paper, it constructs the phylogenies tree of four populations using the single nucleotide polymorphism (SNP) genotype frequency of human's Y-chromosome provided by the international Hapmap project firstly, then a mathematical model is proposed to calculate the distance of any two races for all SNP genotype frequency. The simulation results suggest that the theory of constructing phylogenetic tree by analyzing SNP genotype frequency is effective. The accuracy of the adopted processing method is also shown by the simulation results. About the origination of modern human being, the result of this study can support the 'out of Africa' hypothesis, and this result is same as most evidences of paleontology. © 2007 IEEE.

关键词： Gene expression

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