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International Workshop on Intelligent Communication and Social networks

作者： Chao Yang Cong Cong Ai Renfa Li Key Laboratory for Embedded and Network Computing of Hunan University

ISBN: (纸本)9781479909735

Recommendation systems are popular information filtering tools that help people find what they want. Accuracy is the most widely used metric for evaluating recommendation systems. Recently, many research works have focused on new measurements beyond the accuracy of recommendation systems. In this paper, we propose a neighbor diversification collaborative filtering algorithm to improve the recommendation lists. By using Movielens dataset for empirical analysis, we investigated the influence of neighbor diversity to the recommendation accuracy, diversity, novelty and coverage. Intensive experimental results proved the efficiency of our proposed algorithm for improving recommendation lists.

关键词： Recommendation System Neighbor Diversification Diversity Novelty Coverage

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Discriminative hough-voting for object detection with parts

Discriminative hough-voting for object detection with parts

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International Conference on Mechatronic Science, Electric Engineering and Computer

作者： Yaodong Chen Renfa Li Key Laboratory for Embedded and Network Computing of Hunan Province Changsha China

ISBN: (纸本)9781479925667

Many detection models rely on sliding-window methods to search all possible candidates and then localize true instances by linear classifiers. Such exhaustive search involves massive computation. Hough voting scheme provides an alternative way to localize objects. Typical voting-based approaches, casting independent votes for a hypothesis, ignore the mutual relevance of features. The weights of the features for voting are learnt in a simple way. These two weaknesses limit the detection performance of the voting scheme. This paper introduces a novel voting-based model. We group the model features into parts. The features in one part are dependent and can cast consistent votes for a given hypothesis. For a given hypothesis we introduce an overall score function whose parameters can be optimized in a discriminative way. We apply a latent learning framework to deal with part-level weak supervision. The experiments evaluate the proposed model on two standard datasets. We demonstrate significant improvements in detection performance comparing the start-of-the-art detection models.

关键词： Object detection Computational modeling Shape Feature extraction Training Search problems Transforms

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A Power Model Combined of Architectural Level and Gate Level for Multicore Processors

A Power Model Combined of Architectural Level and Gate Level...

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Manman Peng Yan Hu Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China

ISBN: (纸本)9781479914449

Low power consumption is becoming a critical factor for multicore processors. As the multicore processor design complexity increases, power estimation for multicore processors has gained more importance. This paper presents a new power model combined of architectural level and gate level for multicore processors. The model maps the multicore processors to a combination of building blocks, and estimates the gate-level power of these blocks using parameterized RTL. Then, the power numbers are made in the form of look-up tables, and integrated in architecture simulators. The experiments show that for peak power estimation, an excellent accuracy has been reached and simulation performance is greatly improved compared to the gate level.

关键词： Program processors Computational modeling Multicore processing Logic gates Random access memory Hardware Analytical models

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An intrusion detection system for cluster based wireless sensor networks

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Information Technology Journal 2013年第9期12卷 1764-1771页

作者： Deng, Xue Wu, Renyong Wang, Wenru Bu, Renfei Key Laboratory for Embedded and Network Computing of Hunan Province Changsha Hunan 410082 China School of Information Science and Engineering Hunan University Changsha 410082 China

With the rapid development of wireless communication technology, wireless sensor networks (WSNs) have been widely used in many fields. Therefore, the security become an important issue in WSNs. Compared with the wired network, wireless sensor networks have its own features. The one is limited resource, such as energy, computing power and communication capability. The other is attack types. There are some additional attacks appear on sensor node, such as node capture and tampering. As a result, the security mechanisms which work well in wired network can not be applied in wireless senor network directly. In this paper, in order to improve the security level of WSNs, we proposed a new intrusion detection system (IDS) to find malicious node in WSNs. According to the deviation from the normal pattern of node's behavior, basic input vector of evidence is constructed. Furthermore, the weight value is applied to represent the importance of each behavior characteristic and revise the evidence before evidence synthesis. Finally, by utilizing evidence theory and judgment rules, the running state of the evaluated node is obtained. Extensive simulation results show that the proposed IDS is more effective in detecting malicious nodes than existing schemes. © 2031 Asian network for Scientific Information.

关键词： Computer crime

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A K-NN and Sparse Representation Based Method for Gesture Recognition

A K-NN and Sparse Representation Based Method for Gesture Re...

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IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Meifang Zeng Ling Xiao Renfa Li Key Laboratory of Embedded and Network Hunan University Changsha China

ISBN: (纸本)9781479909735

Sparse representation classification is widely used in pattern recognition. In this paper, a k-nn and sparse represent based method for gesture recognition (KSRC) is proposed. In order to reduce the computational complexity problem in sparse representation, KSRC exploits K nearest neighbors of the testing sample from all training samples and represents the test sample as a linear combination of the K nearest neighbors, then solving the l1-norm constrained least square problem. Taking linear interpolation method to force all data to be in the same space. Experiments show almost perfect user-independent recognition, and user-mixed recognition and user-dependent recognition, and speeds up 4 times than SRC.

关键词： Training Gesture recognition Computational complexity Dictionaries Acceleration Vectors Accelerometers

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9th International Conference on Intelligent computing, ICIC 2013

作者： Wang, Bing Ji, Zhiwei Advanced Research Institute of Intelligent Sensing Network Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China School of Electronics and Information Engineering Tongji University Shanghai 201804 China

ISBN: (纸本)9783642394812

The development of novel high-throughput experimental techniques makes it possible to comprehensively analyze biological data in health and disease. However, a large amount of data generated results in dramatic data-analytic challenges in discovery of 'signature' molecules, which are specific to different biological conditions (e.g. normal vs. disease, treated vs. untreated). Current statistical methods are effective only in the case their hypothesis can be matched. In this paper, we apply an ensemble statistical method to infer significant molecules. In our approach, four well-done and well-understanding statistical techniques had been used for the analysis to the experimental data, and then the results will be collected into an ensemble framework to find the high confident "significant" molecules which can distinguish the different experimental conditions. We evaluate the performance of our approach on a test dataset which deposited on GEO database with an access number of GSE45114. © 2013 Springer-Verlag.

关键词： Molecules

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RELIABILITY-DRIVEN REAL-TIME TASK REPLICATION FOR FAULT TOLERANCE IN HIERARCHICAL SCHEDULING MULTIPROCESSOR SYSTEMS

RELIABILITY-DRIVEN REAL-TIME TASK REPLICATION FOR FAULT TOLE...

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2013IET International Conference on Information and Communication Technologies(IETICT2013)2013IET信息与通信技术国际会议

作者： Lin Liu Renfa Li Rui Li Yong Xie Qingguang Zeng Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangshaChina

ISBN: (纸本)9781629931357

The increasing complexity of systems poses a big challenge to design systems with fault-tolerant *** aim of this study was to establish fault-tolerant system for multiprocessor platform with the help of hierarchical scheduling framework.A mathematical fault and reliability model for hierarchical scheduling framework was proposed firstly,and then a heuristic algorithm by exploiting the difference of task resource overhead and the probability of task failures was presented and a task replication scheme was given *** experimental results demonstrated the proposed scheme could effectively guarantee reliability goal and reduce resource consumption simultaneously.

关键词： multiprocessor fault tolerance task replication reliability requirements the hierarchical scheduling

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Compressed sensing based on best wavelet packet basis for image processing

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Journal of Computers (Finland) 2013年第8期8卷 1947-1950页

作者： Li, Zhe Tao Xie, Jing Xiong Yu, Zu Guo Tu, Deng Biao Choi, Young June The College of Information Engineering Xiangtan University Hunan 411105 China School of Computer National University of Defense Technology Hunan 410073 China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 China School of Mathematics and Computational Science Xiangtan University Hunan 411105 China National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing 100029 China Department of Information and Computer Engineering Ajou University Suwon 443749 Korea Republic of

In this paper, an algorithm named best wavelet packet tree decomposition (BWPTD) is proposed for image compression. In order to obtain better sparse representation of image, best wavelet packet basis is introduced to decompose image signal in the algorithm. Experimental results show that BWPTD is better than single layer wavelet decompression (SLWD) and original compressed sensing (OCS) in peak signal to noise ratio (PSNR) by 2db and 8db, respectively. In addition, the reconstruction time of BWPTD is only half as that of SLWD and OCS. © 2013 ACADEMY PUBLISHER.

关键词： Compressed sensing

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A cross layer collaborating cache scheme to improve performance of HTTP clients in MANETs

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International Journal of u- and e- Service, Science and Technology 2013年第6期6卷 51-57页

作者： Liu, Jin Ren, Hongmin Wang, Jin Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Shanghai International Shipping Institute Shanghai Maritime University Shanghai China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China College of Information Engineering Shanghai Maritime University Shanghai China

This paper proposes a novel cross layer collaborating cache scheme for HTTP clients. It is designed to accelerate the process that an HTTP client retrieves Web content in mobile ad hoc network environment. Unlike other techniques to exploit Web proxy caching or to build P2P protocol overlay to improve HTTP, our scheme incorporates collaboratively working capability into the HTTP client response cache, and thus there is no impact on the compatibility of upper level applications. In addition, as the sharing file information is diffused with routing information, there is no redundant traffic to maintain the cooperating cache mechanism. Using this scheme, cacheable Web content can be distributed among local peers and retrieved later by a client if needed. In our simulation results, this novel cache scheme significantly decreases the latency experienced by a client to download Web content. © 2013 SERSC.

关键词： HTTP

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Improvement on masked S-box hardware implementation

Improvement on masked S-box hardware implementation

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2012 International Conference on Innovations in Information Technology, IIT 2012

作者： Zeng, Juanli Wang, Yi Xu, Cheng Li, Renfa Embedded System and Network Laboratory Hunan University Changsha Hunan 410082 China Hunan Province Key Laboratory of Network and Information Security Hunan University Changsha Hunan 410082 China College of Information Science and Engineering Hunan University Changsha Hunan 410082 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

ISBN: (纸本)9781467311014

Masking in gate level could efficiently protect AES S-box out of power analysis attack. But there still exists a kind of attack, called glitch attack, to achieve the sensitive information from gate cell leakage. Some works had been done to resist against glitch attack, which carefully masked AND gate or used Wave Dynamic Differential Logic (WDDL) cell. In this paper, we propose an improved masked AND gate, in which the relationship between input masked values and masks is nonlinear. Usually, when converting S-box operations from GF(2 8) to GF(((22)2)2), all the necessary computations become XOR and AND operations. Therefore, to fully mask AES S-box is to substitute the unmasked XOR and AND operations with the proposed masked AND gate and protected XOR gate. Although the proposed masked AND gate take up one extra XOR gate than Trichina's design and Baek's design, it can resist against glitch attack without using specific gate cell, such as WDDL. © 2012 IEEE.

关键词： Field programmable gate arrays (FPGA)

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