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International Conference on Parallel and Distributed systems (ICPADS)

作者： Yongang Wang Ennan Zhai Cui Cao Yongqiang Xie Zhaojun Wang Jianbin Hu Zhong Chen Key Laboratory of High Confidence Software Technologies Ministry of Education China School of Electronics Engineering and Computer Science Peking University China Institute of Electronic System Engineering Corporation China

Resisting spam in tagging system is very challenging. This paper presents DSpam, a novel spam-resistant tagging system which can significantly diminish spam in tag search results with users' reliabilities. DSpam client groups other users into unfamiliar users and interacted users according to the fact whether the client has interacted with such users. For an unfamiliar user, the client computes his reliability by tagging behavior-based mechanism which reflects correlation of annotations between them. For an interacted user, the reliability includes two parts: feedback-based reliability, which indicates direct interactions between that user and the client, and recommendation reliability, which indicates the evaluation about that user from the client's friends. The client ranks search result with the average reliabilities of himself with respect to annotators of each result. Experimental results show DSpam can effectively resist tag spam and work better than existing tag search schemes.

关键词： Reliability Tagging Computational modeling Mathematical model Equations Social network services Videos

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GPU-BASED TIME PARALLEL CACHE SIMULATOR

GPU-BASED TIME PARALLEL CACHE SIMULATOR

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2010 IEEE Youth Conference on Information,Computing and Telecommunications(2010 IEEE青年信息、计算和通信技术大会)

作者： Junjie Ma Han Wan Xiaopeng Gao Xiang Long State Key Laboratory of Virtual Reality Technology and System School of Computer Science and Engineering Beihang University Xueyuan Rd.37 100191 Beijing China

We present the design of time parallel trace-driven cache simulation for the purpose of evaluating different cache architectures. Due to the long simulation cycles, traditional sequential simulation methods are no longer practical. An obvious way to achieve fast parallel simulation is time parallel. It splits the whole trace into small slices which are assigned to parallel processors for concurrent simulation. In this paper, we introduce a novel time parallel multiconfiguration simulation on single pass method. It exploits time partitioning as the main sources of parallelism and takes the full advantage of the computational capability offered by the Compute Unified Device Architecture (CUDA) on the GPU. Our experimental results demonstrate that the cache simulator based on GPU platform gains 1.91x performance improvement compared to traditional serial algorithm.

关键词： cache simulation trace-driven simulation time partitioning GPU CUDA

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High performance FFT on multicore processors

High performance FFT on multicore processors

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International Conference on Cognitive Radio Oriented Wireless Networks and Communications

作者： J. Barhen C. Kotas T. S. Humble P. Mitra N. Imam M. A. Buckner M. R. Moore Center of Engineering Science Advanced Research Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN USA RF and Microwave Systems Group Measurement Science & System Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA

Importance of achieving high performance Fourier transforms for Cognitive Radio applications can not be over-emphasized. This includes signal detection in the presence of noise power uncertainty, multi-resolution spectrum sensing, minimization of subcarriers' side lobes in OFDM modulators, multi-stream processing, or spectrum loading, for example. With the emergence of advanced multicore processors, there is a remarkable opportunity to develop novel, massively parallel implementations of the FFT. This paper reviews recent advances in the area, and presents results for three classes of devices: the IBM Cell multi-SIMD processor, the Nvidia Tesla SIMT processor, and the EnLight digital optical core device.

关键词： Object recognition Digital filters MATLAB

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DAWN: Energy efficient data aggregation in WSN with mobile sinks

DAWN: Energy efficient data aggregation in WSN with mobile s...

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International Workshop on Quality of Service

作者： ShaoJie Tang Jing Yuan XiangYang Li Yunhao Liu GuiHai Chen Ming Gu JiZhong Zhao Guojun Dai Department of Computer Science Illinois Institute of Technology Chicago IL USA State Key Laboratory of Novel Software Technology NanJing University NanJing China Institute of Computer Application Technology Hangzhou Dianzi University China Department of Computer Science and Engineering HKUST China Key Laboratory of Information System Security Tsinghua University China Department of Computer Science and Engineering Xi'An JiaoTong University China

The benefits of using mobile sink to prolong sensor network lifetime have been well recognized. However, few provably theoretical results remain are developed due to the complexity caused by time-dependent network topology. In this work, we investigate the optimum routing strategy for the static sensor network. We further propose a number of motion stratifies for the mobile sink(s) to gather real time data from static sensor network, with the objective to maximize the network lifetime. Specially, we consider a more realistic model where the moving speed and path for mobile sinks are constrained. Our extensive experiments show that our scheme can significantly prolong entire network lifetime and reduce delivery delay.

关键词： Energy efficiency Wireless sensor networks Routing computer science Optical sensors Temperature sensors Laboratories Data engineering Power engineering and energy Network topology

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Domino gate with modified voltage keeper

Domino gate with modified voltage keeper

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IEEE International Symposium on Quality Electronic Design

作者： Jinhui Wang Wuchen Wu Na Gong Ligang Hou VLSI and System Laboratory Beijing University of Technology Beijing China Department of Computer Science and Engineering State University of New York University at Buffalo Buffalo NY USA

ISBN: (纸本)9781424464548

Using both the modified supply voltage and body voltage, an optimized keeper technique is presented in this paper to tradeoff the performance of domino OR gates. The simulation results show that the novel technique can highly improve power/speed efficiency and robustness to noise. In addition, because of employment of body biased voltage, the optimized keeper technique enables to minimize effect of the strong process parameter variation.

关键词： Noise robustness Energy consumption Circuit noise Low voltage Crosstalk Leakage current Immune system Logic arrays Logic circuits Very large scale integration

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Using colour local binary pattern features for face recognition

Using colour local binary pattern features for face recognit...

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IEEE International Conference on Image Processing

作者： Jae Young Choi Konstantinos N. Plataniotis Yong Man Ro Image and Video System Laboratory Korea Advanced Institute of Science and Technology Daejeon South Korea Department of Electrical and Computer Engineering University of Toronto Toronto ONT Canada

In this paper, we propose a novel feature representation based on color-based Local Binary Pattern (LBP) texture analysis for face recognition (FR). The proposed method exploits both color and texture discriminative features of a face image for FR purpose. We evaluate the proposed feature using three public face databases: CMU-PIE, Color FERET, and XM2VTSDB. Experimental results show that the results of the proposed feature impressively better than the results of grayscale LBP and color features. In particular, it is shown that the proposed feature is highly robust against severe variations in illumination and spatial resolution.

关键词： Image color analysis Face Feature extraction Gray-scale Histograms Lighting Pixel

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Color component feature selection in feature-level fusion based color face recognition

Color component feature selection in feature-level fusion ba...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Seung Ho Lee Jae Young Choi Konstantinos N. Plataniotis Yong Man Ro Image and Video System Laboratory Korea Advanced Institute of Science and Technology Daejeon South Korea School of Computer Science Ryerson University Toronto ONT Canada Department of Electrical and computer Engineering University of Toronto Toronto ONT Canada

In this paper, we propose a new color face recognition (FR) method which effectively employs feature selection algorithm in order to find the set of optimal color components (from various color models) for FR purpose. The proposed FR method is also designed to improve FR accuracy by combining the selected color components at the feature level. The effectiveness of the proposed color FR method has been successfully demonstrated using two public CMU-PIE and Color FERET face databases (DB). In our comparative experiments, traditional grayscale-based FR, previous color-based FR, and popular local binary pattern (LBP) based FR methods were compared with the proposed method. Experimental results show that our color FR method performs better than the aforementioned three different FR approaches. In particular, the proposed method can achieve 7.81% and 18.57% improvement in FR performance on the CMU-PIE and Color FERET DB, respectively, compared to representative color-based FR solutions previously developed.

关键词： Image color analysis Face Classification algorithms Lighting Feature extraction Principal component analysis Optimized production technology

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Swarm intelligence applied basic research on ecological environment protection in the “Three-River Headwaters” region: A survey

Swarm intelligence applied basic research on ecological envi...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Zhi-bin Xue Jian-chao Zeng Department of chemical machinery Chemical engineering college Qinghai University Xining China Complex System and Computer Intelligence Laboratory Taiyuan University of Science and Technology Shanxi China

Some potential research hotspot problems on swarm intelligence in the “Three-River Headwaters” region are surveyed form an artificial intelligence perspective. The scientific analysis and demonstration results in this paper confirm that the scheme that application of advanced artificial intelligent technology and the idea of circular economy in the regional economic development of the “Three-River Headwaters” region so as to make the rich resources can be effective utilization and realize the sustainable development which is feasible and accord with the requirement of the scientific development view.

关键词： Particle swarm optimization Global Positioning system Robots Artificial intelligence Educational institutions Economics Automation

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CantorSim: Simplifying Acceleration of Micro-architecture Simulations

CantorSim: Simplifying Acceleration of Micro-architecture Si...

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International Symposium on Modeling, Analysis and Simulation of computer and Telecommunication systems (MASCOTS)

作者： Zhibin Yu Hai Jin Jian Chen Lizy K. John Service Computing Technology and System Laboratory Cluster and Grid Computing Laboratory Huazhong University of Science and Technology Wuhan China Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

Many techniques have been developed to accelerate micro-architecture simulation since it is becoming increasingly urgent as the complexity of workloads and simulated processors increases. However, most of popular techniques need profiles or trial simulations to determine parameters before real simulations. When the number of dynamic instructions of workloads such as SPEC CPU2006 is huge, the profiles or trial simulations often take a long time. What's worse, any changes of benchmarks need to repeat the above work. This paper proposes a novel approach based on fractals to solve this problem. It employs the generation procedure of trisection Cantor Set, a classic fractal, to select instructions simulated in detail. We implement a simulator named CantorSim using the trisection Cantor fractal approach. The simulator is evaluated with benchmark programs from SPEC CPU2000 and SPEC CPU2006. We show that our approach is micro-architecture independent as the same parameter value for a single program yields similar results on processors with different configurations. The unified analytical model used to determine sampling parameters for different benchmarks indicates the proposed approach can save a lot of time for preparing parameters. On the other hand, for SPEC CPU2000 and SPEC CPU2006, CantorSim is slightly faster than SMARTSim. The validated average CPI relative errors of the SPEC CPU2000 and SPEC CPU2006 are 3.2% and 2.2% respectively. Therefore, our proposed approach can simplify acceleration of simulations significantly without sacrificing speed and accuracy.

关键词： Fractals Benchmark testing Acceleration Computational modeling Accuracy Predictive models Program processors

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Mining Hierarchical Decision Rules from Hybrid Data with Categorical and Continuous Valued Attributes

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浙江海洋学院学报（自然科学版） 2010年第5期29卷 420-427页

作者： MIAO Duo-qian QIAN Jin LI Wen ZHANG Ze-hua Department of Computer＇Science and Technology Tongji University Shanghai 201804 China College of Computer Engineering Jiangsu Teachers University of Technology Changzhou 213015 China Key Laboratory of Embedded System and Service Computing Ministry of Education of China Tongji University Shanghai 201804 China

Decision rules mining is an important issue in machine learning and data ***,most proposed algorithms mine categorical data at single level,and these rules are not easily understandable and really useful for ***,a new approach to hierarchical decision rules mining is provided in this paper,in which similarity direction measure is introduced to deal with hybrid *** approach can mine hierarchical decision rules by adjusting similarity measure parameters and the level of concept hierarchy trees.

关键词： Similarity relation Attribute reduction Hierarchical decision rules Hybrid data

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