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作者： Duan, Lijuan Wu, Chunpeng Miao, Jun Qing, Laiyun Fu, Yu College of Computer Science and Technology Beijing University of Technology Beijing 100124 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Information Science and Engineering Graduate University Chinese Academy of Sciences Beijing 100049 China Department of Computing University of Surrey Guildford Surrey GU2 7XH United Kingdom

ISBN: (纸本)9781457703942

In this paper, a new visual saliency detection method is proposed based on the spatially weighted dissimilarity. We measured the saliency by integrating three elements as follows: the dissimilarities between image patches, which were evaluated in the reduced dimensional space, the spatial distance between image patches and the central bias. The dissimilarities were inversely weighted based on the corresponding spatial distance. A weighting mechanism, indicating a bias for human fixations to the center of the image, was employed. The principal component analysis (PCA) was the dimension reducing method used in our system. We extracted the principal components (PCs) by sampling the patches from the current image. Our method was compared with four saliency detection approaches using three image datasets. Experimental results show that our method outperforms current state-of-the-art methods on predicting human fixations. © 2011 IEEE.

关键词： Principal component analysis

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Solving constrained optimization problems by an improved particle swarm optimization

Solving constrained optimization problems by an improved par...

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2011 2nd International Conference on Innovations in Bio-inspired computing and Applications, IBICA 2011

作者： Sun, Chaoli Zeng, Jianchao Chu, Shuchuan Roddick, John F. Pan, Jengshyang Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China School of Computer Science Engineering and Mathematics Flinders University Australia Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan

ISBN: (纸本)9781457712197

Constrained optimization problems compose a large part of real-world applications. More and more attentions have gradually been paid to solve this kind of problems. An improved particle swarm optimization (IPSO) algorithm based on feasibility rules is presented in this paper to solve constrained optimization problems. The average velocity of the swarm and the best history position in the particle's neighborhood are introduced as two turbulence factors, which are considered to influence the fly directions of particles, into the algorithm so as not to converge prematurely. The performance of IPSO algorithm is tested on 13 well-known benchmark functions. The experimental results show that the proposed IPSO algorithm is simple, effective and highly competitive. © 2011 IEEE.

关键词： Particle swarm optimization (PSO)

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Influence of copper on the by-products of different oil-paper insulations

Influence of copper on the by-products of different oil-pape...

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Biennial Meeting of the Dielectrics Group of the IOP, Dielectrics 2011

作者： Hao, Jian Liao, Ruijin Chen, George Ma, Chao State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University China School of Electronics and Computer Science University of Southampton United Kingdom Gansu Electric Power Research Institute China

Transformer failure caused by the corrosion of copper material in transformer attracts great attention of researchers and engineers. In this paper, Karamay No. 25 naphthenic mineral oil, Karamay No. 25 paraffinic mineral oil, Kraft paper and copper were used to compose four combinations of oil-paper insulation samples. The ageing by-products and dielectric properties of the four combinations of oil-paper insulation samples were compared after they were thermally aged at 130°C. The influence of copper on the by-products and dielectric properties of different oil-paper insulations was obtained. The results show that copper can accelerate the ageing rate of insulation oils and reduce their AC breakdown voltage. The content of copper substance dissolved in insulating oil increases with ageing time at first and then decreases. The paper aged in the oil-paper insulation sample with copper has higher moisture content than the one without copper. Results of energy dispersive spectroscopy (EDS) in the scanning electron microscope (SEM) show that there is copper product deposited on the surface of insulation paper. The insulation oil and paper aged in the oil-paper insulation sample with copper have higher dielectric loss and conductivity than that without copper.

关键词： Scanning electron microscopy

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A Priority-Aware NoC to Reduce Squashes in Thread Level Speculation for Chip Multiprocessors

A Priority-Aware NoC to Reduce Squashes in Thread Level Spec...

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International Symposium on Parallel and Distributed Processing with Applications, ISPA

作者： Wenbo Dai Hong An Qi Li Gongming Li Bobin Deng Shilei Wu Xiaomei Li Yu Liu School of Computer Science and Technology University of Science and Technology Hefei China Key Laboratory of Computer System and Architecture Chinese Academy and Sciences Beijing China

Thread Level Speculation (TLS) is a technique aims at boosting the performance of sequential programs running on Chip Multiprocessors (CMPs) by automatically parallelizing them. It exempts programmers from the heavy task of parallel programming. But its performance may suffer from frequent squashing caused by inter-thread data dependency violation. In this paper, we propose a Network-on-Chip (NoC) in CMP that employs a priority-aware packet arbitration policy. Packet scheduling guided by such policy reduces the occurrence of TLS squashes. Simulation results with 5 applications show that our policy reduces squashes by 22% in best case and 15% on average. Moreover, our priority aware approach could be generalized to similar scenarios in which different threads running on CMP manifest different priorities.

关键词： Instruction sets Nickel Art Switches Scalability Protocols

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A Non-blocking Programming Framework for Pipeline Application on Multi-core Platform

A Non-blocking Programming Framework for Pipeline Applicatio...

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International Symposium on Parallel and Distributed Processing with Applications, ISPA

作者： Xiaoqiang Li Hong An Gu Liu Wenting Han Mu Xu Wei Zhou Qi Li School of Computer Science and Technology University of Science and Technology Hefei China Key Laboratory of Computer System and Architecture Chinese Academy and Sciences Beijing China

Many applications meet certain programming patterns like pipeline, fork-join, do-all etc. While tools such as OS threads and OpenMP allow programmers only to express task or data parallelism, special support for programming patterns is distinctly lacking. Intel threading building blocks (TBB) is developed to address this problem, but its scheduler is general and not optimized for any of its parallel algorithms which include pipeline specially. In this paper, we provide a non-blocking framework for pipeline application on multi-core platform. We target linear pipeline in which each filter has one entrance and one exit. We design a novel work-stealing scheduler optimized specially for pipeline application: first, priority based stealing, priority is calculated for each filter in pipeline so that a worker can find the optimal "victim" easily when it needs to steal, second, multiple tasks can be stolen at a time so that much stealing time is reduced. A non-block queue is used to store intermediate result to reduce lock overhead and increase scalability. We apply our framework to four case studies, including text filter, two fish, ferret, ded up. And our framework reduces execution time of TBB by 72% in best case and 20% on average on an 8 core machine.

关键词： Pipelines Optimization Programming Load management Parallel processing Arrays

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Design of a robot cloud center

Design of a robot cloud center

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International Workshop on Assurance in Distributed systems and Networks

作者： Du, Zhihui Yang, Weiqiang Chen, Yinong Sun, Xin Wang, Xiaoying Xu, Chen Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology Tsinghua University 100084 Beijing China School of Software and Microelectronics Peking University 102600 Beijing China School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85287 United States Department of Computer Technology and Application Qinghai University Xining Qinghai 810016 China International School Beijing University of Posts and Telecommunications 102209 Beijing China

ISBN: (纸本)9780769543499

Service-oriented architecture and cloud computing have become the prevalent computing paradigm. In this paradigm, computing resources can be accessed like other utility services available in today's society. In the meantime, robotics applications are joining the trend. More and more robot applications are shifting from manufacture to non-manufacture and service industries. However, for the on-demand supply of the large-scale heterogeneous robots, It is still a problem have not yet been studied, including the fundamental management and efficiency issues in using of these resources. In this paper, we design a framework of "Robot Cloud Center" (RCC) following the general cloud computing paradigm to address the current limitations in capacity and versatility of robotic applications. In this framework, a robot can be provided as a service just like a public utility service so that everyone can access the powerful robotic services easily, efficiently, and cheaply. Based on a given scenario, a robot scheduling algorithm in RCC is proposed to take advantage of the heterogeneous robot resources to meet the end user's requirement with the minimum cost.

关键词： Robot programming

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RETRACTED ARTICLE: An approach to evaluate the effects of virtual topology on in-band crosstalk attack propagation in transparent optical networks

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Photonic Network Communications 2012年第2期24卷 166-166页

作者： Xiao, Yonghua Peng, Yunfeng Sun, Zeyu Zhao, Changming Long, Keping Key Laboratory of Optical Fiber Sensing and Communications Education Ministry of China University of Electronic Science and Technology of China Chengdu China Institute of Advanced Network Technology and New Services (ANTS) School of Computer and Communication Engineering (CCE) University of Science and Technology Beijing (USTB) Beijing China College of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China

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Competent predicate abstraction in model checking

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science China(Information sciences) 2011年第2期54卷 258-267页

作者： LI Li1,2,3, SONG XiaoYu4, GU Ming2,3 & LUO XiangYu2,3 1Department of computer science & technology, Tsinghua University, Beijing 100084, China 2Key laboratory for Information system Security, Ministry of Education of China, Beijing 100084, China 3school of Software, Tsinghua University, Beijing 100084, China 4Department of ECE, Portland State University, Portland, Oregon 97207, USA 1. Department of Computer Science & Technology Tsinghua University Beijing 100084 China2. Key Laboratory for Information System Security Ministry of Education of China Beijing 100084 China3. School of Software Tsinghua University Beijing 100084 China4. Department of ECE Portland State University Portland Oregon 97207 USA

The paper presents a new approach to computing the abstract state and a maximum weight heuristic method for finding the shortest counter-example in verification of imperative programs. The strategy is incorporated in a verification system based on the counterexample-guided abstraction refinement method. The proposed method slashes both the size of the abstract state space and the number of invokes of a decision procedure. A number of benchmarks are employed to evaluate the effectiveness of the approach.

关键词： program model checking predicate abstraction weight heuristic

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Modeling and analysis of dual-arm cluster tools for wafer fabrication with revisiting

Modeling and analysis of dual-arm cluster tools for wafer fa...

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2011 7th IEEE International Conference on Automation science and Engineering, CASE 2011

作者： Qiao, Yan Wu, NaiQi Zhou, MengChu Department of Industrial Engineering School of Mechatronics Engineering Guangdong University of Technology Guangzhou 510006 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102-1982 United States

ISBN: (纸本)9781457717307

Some wafer fabrication processes are repeated processes, e.g. atomic layer deposition (ALD) process. For such processes, the wafers need to visit some processing modules for a number of times, which complicates the cycle time analysis. This paper studies the cycle time analysis problem for such processes. With a Petri net model, it is found that such processes contain local cycles involving only the revisiting PMs and global cycles involving both revisiting and non-revisiting PMs. The process switches between these two types of cycles such that the process never reaches a steady state. Based on this finding, the mechanism underlying such processes is revealed and analytical expressions are given for the calculation of their cycle time. Illustrative examples are presented to show the application of the proposed approach. © 2011 IEEE.

关键词： Atomic layer deposition

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Road traffic freight volume forecast using support vector machine combining forecasting

Journal of Software

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Journal of Software 2011年第9期6卷 1680-1687页

作者： Gao, Shang Zhang, Zaiyue Cao, Cungen School of Computer Science and Technology Jiangsu University of Science and Technology Zhenjiang 212003 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

The grey system forecasting model, neural network forecasting model and support vector machine forecasting model are proposed in this paper. Taking the road goods traffic volume from year of 1996 to 2003 in the whole country as a study case, the forecasting results are got by three methods. From the forecasting results, we can conclude that the accuracy of the support vector machine forecasting method is higher. Analyzing the characteristic of combining forecasting method, based on grey system forecasting model, neural network forecasting model and support vector machine forecasting model, the linear combining forecasting model, neural network combining forecasting model and support vector machine combining forecasting model are set up. Compared with single prediction methods, linear combining forecasting method and neural network combining forecasting model, the accuracy of the support vector machine combining forecasting method is higher. © 2011 ACADEMY PUBLISHER.

关键词： Support vector machines

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