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26th Chinese Control Conference, CCC 2007

作者： Fei, Yu Yue, Shen Guiping, Liao Linfeng, Zhang Cheng, Xu School of Computer Andinformation Engineering Hunan Agricultural University Changsha 410128 China Guangdong Province Key Lab. of Electronic Commerce Market Application Technology Guangdong University of Business Studies Guangzhou 510320 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 2150063 China

ISBN: (纸本)7900719229

The paper proposes a new network intrusion detection system based on fuzzy neural network by redesigning the intrusion detection system's architecture and arithmetic. In order to overcome the difficulty of specifying the membership function of rules depending on experiences of experts in multi-dimension space.,neural network is introduced to distinguish non-linearly input/output characteristics of complex system and to generate rule sets and membership functions automatically. The new architecture adopts the network processor to collect and analyse the data in the low layer of network.,and to establish a prototype system. This system demonstrated in this experiment appears to be better intrusion detection ability, moreover, which is able to detect unknown attack and plays down false alarms.

关键词： Fuzzy neural networks

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Design and realization of evaluation environment in the performance analysis of intrusion detection system

Design and realization of evaluation environment in the perf...

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26th Chinese Control Conference, CCC 2007

作者： Liao, Guiping Yu, Fei Shen, Yue Zhang, Linfeng Xu, Cheng School of Computer and Information Engineering Hunan Agricultural University Changsha 410128 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 2150063 China Guangdong Province Key Lab of Electronic Commerce Market Application Technology Guangdong University of Business Studies Guangzhou510320 China

ISBN: (纸本)7900719229

With the deeply research on intrusion detection techniques and the widely use of intrusion detection products, the study of evaluation techniques of intrusion detection systems became important. In the paper, relative works of the evaluation of intrusion detection systems was introduced. The primary aspects of intrusion detection systems in an evaluation were discussed. An evaluation system for intrusion detection systems was proposed. In the system, a supervisor module controls the whole system. The supervisor module schedules the traffic control module and the attack emulation module. The data in the evaluation environment are recorded and input to the evaluation module. The functions such as emulation of network traffic and host usage, emulation of attacks and evaluation report generation are implemented.

关键词： Control system analysis

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Coverage and Exposure Paths in Wireless Sensor Networks

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Journal of computer Science & technology 2006年第4期21卷 490-495页

作者：黄刘生徐宏力汪炀吴俊敏李虹 Department of Computer Science and Technology University of Science & Technology of China Hefei 230027 P.R. China Anhui Province-Most Co-Key Laboratory of High Performance Computing and Its Application Hefei 230027 P.R. China

Wireless sensor networks have posed a number of challenging problems such as localization, deployment and tracking, etc. One of the interesting problems is the calculation of the coverage and exposure paths for the sensor networks. This paper presents a fully localized algorithm to solve the worst coverage problem first introduced by Meguerdichian et al. The nodes of the sensor network cooperate to construct the worst coverage path only by the one-hop neighbor＇s information, thus avoiding the massive communication and conserving the energy. The correctness of the proposed algorithm is proved formally under the sensing diminishing model. Moreover, this algorithm can be easily extended to solve the minimal exposure problem with local information as well.

关键词： coverage wireless sensor networks localized algorithm exposure

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Interpolatory ternary subdivision for triangular meshes with arbitrary topology

Interpolatory ternary subdivision for triangular meshes with...

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16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006

作者： Ling, Ruotian Luo, Xiaonan Chen, Ren Huang, Wanmin Computer Application Institute Sun Yat-Sen University Guangzhou China Guangdong Key Laboratory of Common Technology in Software Guangdong Software Science Park China

ISBN: (纸本)076952754X

This paper proposes an interpolatory ternary subdivision for triangular meshes that produces C2 continuous limit surfaces for regular meshes while achieve C1 continuity with bounded curvature at extraordinary vertices. Prior to this paper, there is no practical interpolatory subdivision scheme which exhibits C2 continuous for triangular meshes. This subdivision scheme splits each triangle into nine by inserting two E-vertices onto each edge and a F-vertex onto each face. The regular mask is derived from interpolatory ternary subdivision curves and the irregular masks are established based on Fourier transformation. Finally, we demonstrate the visual quality of surfaces refined by our new ternary subdivision scheme with several examples. © 2006 IEEE.

关键词： Fourier transforms

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Structural Pattern Analysis for Texture Synthesis

Structural Pattern Analysis for Texture Synthesis

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International Multi-Symposiums on computer and Computational Sciences (IMSCCS)

作者： Yizhe Li Guoliang Chen Qilong Zheng Department of Computer Science and Technology Anhui Province-MOST Co-Key Laboratory of High Performance Computing and Its Application University of Science and Technology Anhui China

Sample based texture synthesis allows the generation of arbitrarily sized textures based on a small sample image. One main drawback of the technique is that a new pixel or patch is selected only considering local information in the generated texture. Thus structural error can't assure to be avoided for structural textures. To accelerate texture synthesis process and to avoid structural mismatch in the output picture, we present in this paper a structural pattern analysis (SPA) algorithm and a texture synthesis method using the algorithm. The pattern analysis tool also quantizes the texture randomness in macro scope view. It can be used in other applications such as automatic texture classification and quality evaluation of synthesized texture. We illustrate our result with some examples

关键词： Pattern analysis application software Pattern recognition Acceleration Image processing computer graphics Image analysis Large-scale systems computer science Laboratories

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Robust moving object segmentation in the compressed domain for H.264/AVC video stream

Robust moving object segmentation in the compressed domain f...

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25th PCS: Picture Coding Symposium 2006, PCS2006

作者： Yang, Gaobo Yu, Shengfa Zhang, Zhaoyang Network and Information Security Lab School of Computer and Communication Hunan University Changsha Hunan 410082 China School of Electronic Science and Engineering National University of Defense Technology Changsha Hunan 410073 China Key Laboratory of Advanced Displays and System Application Shanghai University Ministry of Education Shanghai 200072 China

ISBN: (纸本)300018726X

Moving object segmentation in the compressed domain plays an important role in many real-time applications, e.g. video indexing, video surveillance, etc. H.264/AVC is the up-to-date video coding standard, which employs several new coding tools and provides a different video format. In this paper, a robust spatio-temporal segmentation approach to extract moving objects in the compressed domain for H.264 video stream is proposed. Coarse moving objects are firstly extracted from the motion vector field through the MRF classification process. Spatial segmentation is based on the HT coefficient, which is used to refine the object boundary of temporal segmentation results. Fusion of spatio-temporal segmentation is based on region projection based labeling technique. Further edge refinement is performed to smooth the object boundaries. The performance of the proposed approach is illustrated by simulation carried on several test sequences. Experimental results show that the proposed approach can provide the visually similar results as by using spatial domain process with much less computational complexity.

关键词： Image segmentation

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Using Accelerator Feedback to Improve Performance of Integral-Controller Particle Swarm Optimization

Using Accelerator Feedback to Improve Performance of Integra...

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049

ISBN: (纸本)9781424404759

Integral-controller particle swarm optimization (ICPSO), influenced by inertia weight w and coefficient ψ is a new swarm technology by adding accelerator information. Based on stability analysis, the convergence conditions imply the negative selection principles of inertia weight w, and the relationship between w and ψ. To improve the computational efficiency, an adaptive strategy for tuning the parameters of ICPSO is described using a new statistical variable reflecting computational efficiency index-average accelerator information. The optimization computing of some examples is made to show that the ICPSO has better global search capacity and rapid convergence speed.

关键词： Particle swarm optimization Average Accelerator Information Integral-controller

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Predicted Particle Swarm Optimization

Predicted Particle Swarm Optimization

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an. 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an. 710049

ISBN: (纸本)1424404754;9781424404759

The standard particle swarm optimization (PSO) may prematurely converge on suboptimal solution partly because of the insufficiency information utilization of the velocity. The time cost by velocity is longer than position of each particle of the swarm, though the velocity, limited by the constant Vmax, onfy provides the positional displacement To avoid premature convergence, a new modified PSO, predicted PSO, is proposed owning two different swarms in which the velocity without limitation, considered as a predictor, is used to explore the search space besides providing the displacement while the position considered as a corrector. The algorithm gives some balance between global and local search capability. The optimization computing of some examples is made to show the new algorithm has better global search capacity and rapid convergence rate.

关键词： Particle swarm optimization Predicted velocity Exploration capability Exploitation capability

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Interpolatory Ternary Subdivision for Triangular Meshes with Arbitrary Topology

Interpolatory Ternary Subdivision for Triangular Meshes with...

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Ruotian Ling Xiaonan Luo Ren Chen Wanmin Huang Sun Yat-Sen University Guangzhou Guangdong CN Computer Application Institute Sun Yat-sen University Guangzhou China Guangdong Key Laboratory of Common Technology in Software Guangdong Software Science Park China

This paper proposes an interpolatory ternary subdivision for triangular meshes that produces C 2 continuous limit surfaces for regular meshes while achieve C 1 continuity with bounded curvature at extraordinary vertices. Prior to this paper, there is no practical interpolatory subdivision scheme which exhibits C 2 continuous for triangular meshes. This subdivision scheme splits each triangle into nine by inserting two E-vertices onto each edge and a F-vertex onto each face. The regular mask is derived from interpolatory ternary subdivision curves and the irregular masks are established based on Fourier transformation. Finally, we demonstrate the visual quality of surfaces refined by our new ternary subdivision scheme with several examples

关键词： Topology computer applications Sun Laboratories Mesh generation

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New Java memory model L-JMM

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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2006年第4期43卷 738-743页

作者： Wu, Junmin Chen, Guoliang Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Anhui Province Co-Key Laboratory of High Performance Computing and Application University of Science and Technology of China Hefei 230027 China

Java memory model (JMM) is an important topic in Java language and Java virtual machine (JVM) design. But the memory model in Java specification can't guarantee the safely running of Java multithread code. It needs memory coherence, which imposes constraints that prohibit JVM implementation optimization. To fix the problem of Java memory model in Java specification, a new Java memory model, L-JMM, is proposed, which is based on location consistency. This model extends the location consistency to adapt the features of Java technology. It also defines the rule of Java multithread memory operation, including ordinary variable rule, volatile variable rule, final variable rule and synchronization rule. It is proved that this memory model has the same property as location consistency. It can guarantee the correctness for Java multithread code. It can also improve the performance of Java virtual machine. Finally, the simulation of this memory model in the simulator MMS verifies that the new model boasts a better performance than the Java specification memory model does.

关键词： Java programming language

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