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Japan-China Joint Workshop on Frontier of computer science and technology (FCST)

作者： Lingfang Zeng Dan Feng Bharadwaj Veeravalli Qingsong Wei Key Laboratory of Information Storage Ministry of Education Huazhong University of Science and Technology China Department of Electrical and Computer Engineering National University of Singapore Singapore Data Storage Institute Singapore

To get large disk-like characteristics and offset the significant power demands of hard disk drives, we propose a fully functional hybrid archive system (called Pseudodisk) composed of an array of disks and a tape library. To get an energy conservation, low cost archive system, Pseudodisk uses data value model and utility function to guild data management. Two novel algorithms are proposed for data placement and data migration, which are referred to as utility-based data placement (UDP) and and system utility percentage (SUP) algorithms respectively. To validate the efficiency of the proposed archive system, we conduct the performance evaluation and the power-saving simulation.

关键词： Energy efficiency Energy storage Power demand Hard disks Libraries Energy conservation Cost function Power system modeling Energy management Power system management

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Quick Finding of Network Video Stream

Quick Finding of Network Video Stream

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International Conference on computer science and information technology (CSIT)

作者： Qindong Sun Shengli Li Xiaojun Guo Network Computing and Security Key Laboratory of Shaanxi Xi'an University of Technology Xi'an China School of Electronics and Information Engineering Xi'an Jiaotong University Xi'an China Department of Research and Development Xi'an Anzhi Science and Technology Corporation Xi'an China

Network video technology develops quickly in recent years and the applications of network video are various. The effectively managing of the application based on network video is necessary for network flow management, network security, etc. and finding video stream from the network flow is the precondition and foundation. This paper analyzes the characteristics of the video stream packets, and draws a conclusion that each network video stream type can be labeled uniquely by one characteristic string, based on which, we can find video streams in network flow easily. The experiment results show that the method is able to find network video streams accurately.

关键词： Streaming media Protocols Decision support systems Payloads Servers IP networks Internet

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A Dynamic Trust Model for the Multi-agent systems

A Dynamic Trust Model for the Multi-agent Systems

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International Symposiums on information Processing (ISIP)

作者： Bin li Maolin Xing JunWu Zhu Tongshen Che State Key Laboratory for Novel Software Nanjing University Nanjing China Department of Computer Science and Engineering Yangzhou University Yangzhou China College of Information Science and Technology Nanjing University of Aeronautics and Astronautics China

Internet provides a fertile medium for new breeds of computer viruses. Many people who have access to a wealth of information via Internet are attacked by more computer viruses than they can effectively process. We present a dynamic computer virus detection model that can detect known viruses and previously unknown viruses to prevent information systems from damage. This model is inspired by biological immune systems that protect the body against damage from pathogens. The architecture of this model, the formal definitions of self nonself antigen, antibody, and vaccine gene library are introduced. Furthermore, the evolution of self and nonself, the generation of the antibody, the evolution of the virus vaccine gene, and the detection of the antigen are depicted. Experiment results show that this model has better capacity of self-adaptability and self-learning in detecting unknown viruses than traditional models.

关键词： Multiagent systems computer viruses Biological system modeling Internet Vaccines Evolution (biology) Biology computing information systems Immune system Protection

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Improved Ant Colony system for VRPSPD with Maximum Distance Constraint

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systems Engineering - Theory & Practice 2008年第1期28卷 132-140页

作者： Tao ZHANG Wen-xin TIAN Yue-jie ZHANG Shi-xin LIU School of Information Management and Engineering Shanghai University of Finance and Economics Shanghai 200433 China Informatization Office in Center of Modern Education Technology of Shanghai Finance University Shanghai 201209 China Department of Computer Science and Engineering Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai 200433 China School of Information Science and Engineering Northeastern University Key Laboratory of Integrated Automation of Process Industry Ministry of Education Shenyang 110004 China

This article investigates the reverse logistics vehicle routing problem with a single depot, simultaneous distribution and collection of the goods by a homogeneous fleet of vehicles under the restrictions of maximum capacities and maximum distance. A mixed integer programming model is established. To solve the model, an Ant Colony system (ACS) approach combined with the pheromone updating strategy of ASRank and MMAS ant algorithm is proposed. In such approach, the vehicle residual loading capacity is introduced into the heuristic function considering the complex feature of fluctuating vehicle load. Moreover, the initial load is designed to be a random value correlated to the delivery and pick-up demands of the rest clients. The experimental study indicates that the proposed approach could improve the vehicle load rate and avoid the added total distance caused by the fluctuating load and the maximum capacity constraint. It could reach the satisfied solutions with high convergence speed in an acceptable computational time.

关键词： reverse logistic vehicle routing with simultaneous delivery and pick-up (VRPSPD) ant colony system (ACS) mixed integer programming

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A communication-aware scheduling algorithm for heterogeneous systems

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High technology Letters 2008年第2期14卷 129-133页

作者：阮幼林 Liu Gan Zhang Jianjun Hart Jianjun Li Qinghua School of Information Engineering Wuhan University of Technology Wuhan 430070 P.R. China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 P.R. ChinaI Department of Computer Science and Technology Huazhang University of Science and Technology Wuhan 430074 P.R. Chinat

Previous work mostly employs an ideal system model that assumes fully connected processors and concurrent communication, which leads to inaccurate and inegicient schedule results. In this paper, a new scheduling model which integrates the communication awareness was proposed. Then, a novel scheduling algorithm based on list heuristic was put forward for the new model, which can produce optimal schedule by serializing the communications edges. Experimental results show that the accuracy and efficiency of the new model and algorithm are significantly improved.

关键词： communication-aware serializing concurrent communication

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Research on Motion Vector Accuracy in OvercompleteWavelet-Domain Scalable Video Coding Based on Human Visual system Characteristics

Research on Motion Vector Accuracy in OvercompleteWavelet-Do...

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The 9th International Conference for Young computer Scientists(第九届国际青年计算机大会)

作者： Chuanming Song Xianghai Wang Fuyan Zhang Department of Computer Science & Technology Nanjing University Nanjing 210093 China College of Computer & Information Technol. Liaoning Normal University Dalian 116029 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China

This paper proposes an accuracy-distortion model for overcomplete wavelet-based scalable motion estimation by exploiting the theory of stationary random process. We first estimate the motion compensation errors in spatial domain due to inaccurate motion vectors, then extend the results to overcomplete wavelet domain, and further derive the errors caused by fraction-pixel motion vectors. Finally, combining with a visibility model of wavelet coefficient errors, this paper proposes a novel algorithm to estimate the motion vector accuracy with which the motion compensation errors will be invisible. Experimental results show that the proposed algorithm is effective in estimating the visually lossless accuracy threshold of motion vectors. The proposed algorithm can be used in scalable coding of motion vectors. Also it can accelerate the motion estimation speed by stopping halfway at the accuracy that will not cause any visible errors.

关键词： Scalable video coding scalable motion vector human visual system wavelet.

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A Novel Method of Combined Feature Extraction for Recognition

A Novel Method of Combined Feature Extraction for Recognitio...

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IEEE International Conference on Data Mining (ICDM)

作者： Tingkai Sun Songcan Chen Jingyu Yang Pengfei Shi School of Computer Science and Technology Nanjing University of Science and Technology of PLA Nanjing China Department of Computer Science & Engineering Nanjing University of Aeronautics and Astronautics Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Shanghai China

Multimodal recognition is an emerging technique to overcome the non-robustness of the unimodal recognition in real applications. Canonical correlation analysis (CCA) has been employed as a powerful tool for feature fusion in the realization of such multimodal system. However, CCA is the unsupervised feature extraction and it does not utilize the class information of the samples, resulting in the constraint of the recognition performance. In this paper, the class information is incorporated into the framework of CCA for combined feature extraction, and a novel method of combined feature extraction for multimodal recognition, called discriminative canonical correlation analysis (DCCA), is proposed. The experiments show that DCCA outperforms some related methods of both unimodal recognition and multimodal recognition.

关键词： Feature extraction Space technology Electronic mail computer science Signal mapping Pattern recognition Speech recognition Data mining Data engineering Application software

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On Energy Spreading Transform Based MIMO systems: Capacity and Diversity

On Energy Spreading Transform Based MIMO Systems: Capacity a...

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IEEE Conference on Wireless Communications and Networking

作者： Feng Han Pingyi Fan Q. T. Zhang K. B. Letaief State Key Laboratory on Microwave and Digital Communications Department of Electronic Engineering Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Department Electrical Engineering City University of Hong Kong Hong Kong China Department Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong China

The energy spreading transform (EST) has recently been proposed as a technique for the multiple input and multiple output (MIMO) fading channels, ending up with an EST-based iterative detection scheme for MIMO systems. In this paper, we develop a novel concept of capacity with iterative detection, which enables us to evaluate the contribution of the iterative data processing employed in this MIMO scheme to the achievable rate region. We then discuss the diversity gain of the EST-based MIMO system. In particular, we address the case where a technique of data rate adaption to signal-to-noise ratio (SNR) is employed, given that the achievable rate increases with the increment of SNR. Some simulation results are also given to demonstrate the theoretical results obtained in this paper.

关键词： MIMO Data processing Diversity methods Diversity reception Fading Laboratories Power engineering and energy Signal to noise ratio Communications Society Cultural differences

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Evolutionary Testing of Trusted Computing Supporting Software Based on Genetic Algorithms

Evolutionary Testing of Trusted Computing Supporting Softwar...

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International Symposium on Knowledge Acquisition and Modeling, KAM

作者： Fan He Jing Len Huanguo Zhang Yonghua Tan College of Computer Wuhan University of China Wuhan Hubei China Department of Information Technology Hubei University of Police Wuhan Hubei China Key Laboratory of AeroSpace Information Security and Trusted Computing Ministry of Education Wuhan Hubei China Development and Reform Bureau of Laoshan Qingdao Shandong China

The rapid development of trusted computing (TC) technology has become a milestone in the field of information security. There is an increasing application of trusted computing platform (TCP) with trusted computing supporting software (TCSS) providing support for the trusted platform module (TPM) of TCP. There is an urgent need to test TCSS according to the specification of TC to ensure its quality. A promising approach to enhance the efficiency of the test process is evolutionary testing. This paper presents a test method of TCSS by using genetic algorithms-firstly making security function division of TCSS based on the common criteria (CC), then giving a model of evolutionary testing for TCSS, describing the concrete implementation of the testing prototype system, and finally testing a concrete TCSS product.

关键词： Software testing Genetic algorithms system testing Data security Application software ISO standards information security Concrete Personal digital assistants Protection

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An Effective and Robust Pedestrians Detecting Algorithm & Symposia

An Effective and Robust Pedestrians Detecting Algorithm & Sy...

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International Conference on Intelligent Transportation

作者： Zhipeng Li Yun Sun Fuqiang Liu Wenhuan Shi Key Laboratory of Embedded System and Service Computing supported by Ministry of Education University of Tongji Shanghai China School of Electronics and Information Engineering University of Tongji Shanghai China Department of Control Science and Technology Shanghai Jiaotong University Shanghai China

In this paper, we present a pedestrian detection approach using spatial histograms of oriented gradients feature. As spatial histograms of oriented gradients consist of marginal distributions of an image over local and global patches, they can preserve shape and contour of a pedestrian simultaneously. There are two main contributions in this paper. First of all, we expand the histograms of oriented gradients features from single-size to variable-size which can capture local and global feature of pedestrian automatically. We call theses feature as the "spatial histograms of oriented gradients". Secondly, we employ histogram similarity and Fisher criterion to measure discriminability of features and select some discriminative features to identify the pedestrian. SVM classifier is constructed to train the selected features from target and surrounding background. The proposed algorithm is tested on some public database. Experimental results show that the proposed approach is efficient and rapid in pedestrian detection.

关键词： Robustness Conferences Histograms Support vector machines Shape Intelligent transportation systems Sun Support vector machine classification computer vision Image edge detection

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