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Three dimensional stratum modeling and a fast algorithm for arbitrary cutting based on half-edge structure

Three dimensional stratum modeling and a fast algorithm for ...

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2009 International Conference on Computational Intelligence and software Engineering, CiSE 2009

作者： Xi, Liu Dong, Lanfang Lu, Detang Hefei China Anhui Province Key Lab of Software in Computing and Communication School of Computer Science and Technology USTC Hefei China Institute of Engineering and Science Software USTC Hefei China

ISBN: (纸本)9781424445073

The three dimensional stratum modeling provides important basis of analysis and policy-making in areas such as Geophysics, Petroleum, Minerals, Urban construction and so on. In this paper, we firstly propose a general flow of three dimensional stratum modeling, then research stratum partition algorithm and reconstruct the surface of three dimensional stratum model (3DSM), finally program the module of the simulation and visualization of 3DSM, and propose a fast algorithm for arbitrary cutting based on half-edge structure. The result shows that the algorithm performs real-time, and the reconstructed model of it is perfect. The algorithm has general applicability in entity cutting, it can be used in 3DSM, medical treatment, city planning and other similar areas. ©2009 IEEE.

关键词： Three dimensional computer graphics

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The detection of Trojan horse based on the data mining

The detection of Trojan horse based on the data mining

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Tang, Shugang School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

Trojan horse is a serious security threat to computer network. Traditionally, Trojan Horses are detected using file's dynamic characteristics or behaviors. However, these methods are not available for unknown or un-awakened Trojan horses. Trojan horse always exists as PE (Portable Executable) file format in the Windows system environment, and the PE file has many static characteristics, which contains many runtime characteristics. In this paper, a new detecting method based on PE file's static attributes is proposed, and intelligent information processing techniques are used to analyze those static attributes, such as decision tree, BP network and Finite State Machine. Further, a detection model is established to estimate whether a PE file is a Trojan horse. This thesis is prepared to value the static Trojan characteristic and build a new way to detect the Trojan horse by using the PE file static characteristics. © 2009 IEEE.

关键词： Data mining

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Opportunistic Dynamic Channel Allocation Based on Chain Store Game

Opportunistic Dynamic Channel Allocation Based on Chain Stor...

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International Conference on Wireless communications, Networking and Mobile computing (WiCom)

作者： Jinglong Li Ping Zhu Xufa Wang Anhui Province Key Laboratory of Software in Computing and Communication School of Computer Science and Technology University of Science and Technology Hefei Anhui China

In adaptive secondary user channel allocation of cognitive radio, some users finish communication and release their channel as the time goes by, while some newcomers request channel resources to communicate. Thus, it is necessary to consider spectrum allocation process from the temporal perspective. In this paper, secondary users are modeled to a dynamic game similar to the chain store game, by which each user is able to achieve the equilibrium state adaptively without a central coordinator. We investigate the game through analyzing of correlated equilibria, which is computed easily and exhibits better results than Nash equilibria. We import some signal mechanisms based on time and sequence number that help users to achieve the correlated equilibria. The game algorithms based on correlated equilibrium are presented. The experimental results shows that our method have obvious superiorities to other allocation algorithms.

关键词： Channel allocation Cognitive radio Wireless sensor networks Laboratories Computer science Nash equilibrium Databases Base stations Resource management Game theory

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An improved RBF network for predicting location in mobile network

An improved RBF network for predicting location in mobile ne...

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5th International Conference on Natural Computation, ICNC 2009

作者： Liu, Fenglian School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin 300191 China

ISBN: (纸本)9780769537368

In mobile network, quality of service (Qos) is difficultly guaranteed for the particularity of mobile network. If the system knows, prior to the mobile subscriber movement, the exact trajectory it will follow, the Qos can be guaranteed. Thus, location prediction is the key issue to provide quality of service to mobile subscriber. In the present paper, RBF Network of Neural Network techniques were used to predict the mobile user's next location based on his current location as well as time. The software matlab 6.5 was used to confirm the parameters of RBF network, and to same training data, makes the detailed contrast with resilient propagation BP and BP in learning time and steps of learning. Experiment results show that predicted locations with RBF are more effective and accurate than resilient BP. © 2009 IEEE.

关键词： Radial basis function networks

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Liu, Fenglian School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing Novel Software Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

This paper presents a novel similarity measure method based a combination of color and texture feature representations. In this method, the YIQ color space is chosen, because it can describe both color images and gray images and the transform from RGB to YIQ is linear and simple than other color space. In the proposed method, we firstly segment image using texture feature by combination of wavelet transform and texture co-occurrence matrix and then quantize color feature in YIQ color space for every segmentation partition. Based on image segmentation and color quantization, a new kind of similarity measure is proposed. Compared with the traditional image retrieval methods, the proposed method is very efficient for the image retrieval purpose. © 2009 IEEE.

关键词： Image retrieval

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A Preliminary Study on Why Using the Nonself Detector Set for Anomaly Detection in Artificial Immune Systems

A Preliminary Study on Why Using the Nonself Detector Set fo...

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International Conference on Computational Intelligence and Security

作者： Baoliang Xu Wenjian Luo Xufa Wang Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China University of Science and Technology of China Hefei Anhui CN

ISBN: (纸本)9781424454112

In artificial immune systems, the detectors in the nonself space are often adopted to detect anomaly changes, such as the negative selection algorithm and its improvements. Since the detectors in the self space can also be used to detect anomaly changes, a frequently asked question is which kind of detector sets is more efficient for a specific problem. In this paper, firstly, the advantages and disadvantages of the self detector set and the nonself detector set are briefly reviewed. Secondly, when the complete matching rule is adopted, the average time costs of employing the nonself detector set and the self detector set for anomaly detection are compared theoretically. Thirdly, simulated experiments are done, and experimental results demonstrate that the theoretical conclusion is essentially correct.

关键词： Detectors Artificial immune systems Space technology Costs Immune system Biological system modeling Monitoring Laboratories Intrusion detection Biology computing

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Constructing the Voronoi diagram of planar point set in parallel

Constructing the Voronoi diagram of planar point set in para...

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2009 International Conference on Computational Intelligence and software Engineering, CiSE 2009

作者： Dong, Lanfang Wu, Yuan Zhou, Shanhai Anhui Province Key Lab. of Software in Computing and Communication College of Computer Science and Technology USTC Hefei China College of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9781424445073

By researching Voronoi diagram, parallel algorithm, and divide-and-conquer method, we present a special data structure(change doubly-connected list little) for Voronoi diagram generation in parallel. In this paper we also present two proposal, they are one processor gradually to merge and 22-merger on the parallel machine, the experiment results show that the present algorithm runs faster than the serial program. By analyzing the various results, we should choose the most suitable number of processors according to the point set scale. At last, we can conclude that gradually merger with one processor is better proposal for Voronoi diagram parallel generation. ©2009 IEEE.

关键词： Parallel algorithms

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Generating an Approximately Optimal Detector Set by Evolving Random Seeds

Generating an Approximately Optimal Detector Set by Evolving...

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IEEE International Symposium on Dependable, Autonomic and Secure computing (DASC)

作者： Jie Zhang Wenjian Luo Baoliang Xu Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China University of Science and Technology of China Hefei Anhui CN

The detector generation algorithm is the core of a negative selection algorithm (NSA). In most previous work, the NSAs generate the detector set randomly, which cannot guarantee to obtain an efficient detector set. To generate an approximately optimal detector set, in this paper, a novel detector generation algorithm for the real-valued negative selection algorithm (RNSA) is proposed. The proposed algorithm, named as the EvoSeedRNSA, adopts a genetic algorithm to evolve the random seeds to obtain an optimized detector set. The experimental results demonstrate that the EvoSeedRNSA has a better performance.

关键词： Detectors Genetic algorithms Shape software algorithms Computer science Laboratories Immune system Artificial immune systems Intrusion detection State-space methods

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Theoretical and empirical analyses of Evolutionary Negative Selection Algorithms for a combinational optimization problem

Theoretical and empirical analyses of Evolutionary Negative ...

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International Conference on Bio-Inspired computing: Theories and Applications, BICTA

作者： Xingxin Pei Wenjian Luo Nature Inspired Computation and Application Laboratory School of Computer Science and Technology Anhui Key Laboratory of Software in Computing and Communication University of Science and Technology Hefei Anhui China

Evolutionary Negative Selection Algorithms (ENSAs) could be regarded as hybrid algorithms of Evolutionary Algorithms (EAs) and Negative Selection Algorithms (NSAs). The average time complexity of ENSAs on combinational optimization problems has never been studied before. In this paper, the average time complexity of ENSAs on one combinational optimization problem is analyzed. The theoretical results demonstrate that, for the Two Max function, the ENSA with an appropriate matching threshold could perform better than the traditional (N+N) EA. Some simulation experiments on the combinational problem are also done, and the experimental results are consistent with theoretical results.

关键词： Algorithm design and analysis software algorithms Immune system Convergence Laboratories Computer applications Application software Computer science Evolutionary computation Biology computing

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A hormone based tracking strategy for wireless sensor network

A hormone based tracking strategy for wireless sensor networ...

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IEEE International Conference on Intelligent computing and Intelligent Systems (ICIS)

作者： Yipeng Zhang Haifeng You Xufa Wang Key Laboratory of Software in Computing and Communication Anhui Province School of Computer Science and Technology University of Science and Technology Hefei China

In this paper, we present a hormone based tracking strategy called Hormone based Activation (HA) for mobile target tracking in wireless sensor networks inspired by the bio-endocrine system. Hormone messages are used in sensor networks to coordinate sensor nodes for mobile target tracking in a self-adaptive way. Three kinds of hormones are introduced into sensor network for mobile target tracking: Base Hormone (BH),Wakeup Hormone (WH) and Sleep Hormone (SH).Based on different hormone messages, sensor nodes can choose to be asleep or awake in order to get good tracking results with less energy consumed. Comparative experiment shows that our strategy needs fewer nodes to wake up and has a much higher usage ratio of sensor nodes than other tracking strategies.

关键词： Biochemistry Wireless sensor networks Target tracking Biosensors Intelligent sensors Computer networks Mobile communication Sleep Energy efficiency communication system control

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