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2012 3rd International Conference on information technology for Manufacturing Systems(ITMS 2012)

作者： Yuejuan Han Jianxi Fan Lantao You Yan Wang Provincial Key Laboratory for Computer Information Processing Technology Soochow University School of Computer Science and Technology Soochow University Suzhou Industrial Park Institute Of Services Outsourcing

The locally twisted cube is a newly introduced interconnection network for parallel computing, which possesses many desirable properties. In this paper, the problem of embedding complete binary trees into locally twisted cubes is studied. Let LTQ_n（V, E） denote the n-dimensional locally twisted cube. We find the following result in this paper: for any integer n ≥ 2, we show that a complete binary tree with 2~n- 1 nodes can be embedded into the LTQ_nwith dilation 2.

关键词： Interconnection networks locally twisted cube complete binary tree embedding parallel computing

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Multi-level threshold image segmentation based on PSNR using artificial bee colony algorithm

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Research Journal of Applied Sciences, Engineering and technology 2012年第2期4卷 104-107页

作者： Yun-Fei, Cao Yong-Hao, Xiao Wei-Yu, Yu Yong-Chang, Chen School of Electronic and Information Engineering South China University of Technology Guangzhou China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou Jiangsu 215006 China

Image segmentation is still a crucial problem in image processing. It hasn yet been solved very well. In this study, we propose a novel multi-level thresholding image segmentation method based on PSNR using artificial bee colony algorithm (ABCA). PSNR is considered as an objective function of ABCA. The multi-level thresholds (t*1, t*2 ,...., t*n-1, t*n) are those maximizing the PSNR. We compare entropy and PSNR in segmenting gray-level images. The experiments results demonstrate proposed method is effective and efficient. © Maxwell Scientific Organization, 2012.

关键词： Image segmentation

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A novel image interpolation approach for vertical pixel mixture CCD

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Journal of Computational information Systems 2012年第13期8卷 5343-5349页

作者： Yu, Weiyu Tian, Jing Chen, Yongchang Feng, Jiuchao School of Electronic and Information Engineering South China University of Technology Guangzhou 510641 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

Vertical Pixel Mixture Charge Coupled device (VPMixCCD) is with a built-in vertical pixels mixing technology to average two vertically-neighboring components of a color filter array (CFA) image within the same color filter. The goal of VPMixCCD image interpolation is to produce a single full-resolution color image from its VPMixCCD counterpart. For that, a novel wavelet-based interpolation approach is proposed in this paper. The proposed approach utilizes the universal Hidden Markov tree (uHMT) model for exploiting the inter-scale correlation between the low-pass filtered wavelet coefficients and the high-pass filtered wavelet coefficients. Extensive experiments are conducted to demonstrate the superior performance of the proposed approach. © 2011 by Binary information Press.

关键词： Pixels

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Traffic vehicle behavior prediction using Hidden Markov models

Traffic vehicle behavior prediction using Hidden Markov mode...

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4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012

作者： Wu, Jian Cui, Zhi-Ming Zhao, Peng-Peng Chen, Jian-Ming Institute of Intelligent Information Processing and Application Soochow University Suzhou 215006 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China

ISBN: (纸本)9783642334771

This paper intends to focus on vehicles steering by analyzing the trajectory. The target values we need to measure are the vehicle's speed and turning angle. These two values are needed to be quantified to certain levels. To create the Hidden Markov Model, HMM learning algorithm and the two values above are used. In HMM, turning left, going straight and turning right are the hidden states and data from the video are used to compute the parameters. HMM can be used to analyze vehicles' driving and to predicate the probable steering in time. The experimental results show that in the case of getting good vehicle trajectory, it is pretty suitable to use HMM to predicate vehicle behavior. © 2012 Springer-Verlag.

关键词： Hidden Markov models

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BIDE-based parallel mining of frequent closed sequences with MapReduce

BIDE-based parallel mining of frequent closed sequences with...

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12th International Conference on Algorithms and Architectures for Parallel processing, ICA3PP 2012

作者： Yu, Dongjin Wu, Wei Zheng, Suhang Zhu, Zhixiang School of Computer Hangzhou Dianzi University Hangzhou China Zhejiang Provincial Key Laboratory of Network Technology and Information Security Hangzhou China

ISBN: (纸本)9783642330643

Parallel processing is essential to mining frequent closed sequences from massive volume of data in a timely manner. On the other hand, MapReduce is an ideal software framework to support distributed computing on large data sets on clusters of computers. In this paper, we develop a parallel implementation of BIDE algorithm on MapReduce, called BIDE-MR. It iteratively assigns the tasks of closure checking and pruning to different nodes in cluster. After one round of map-combine-partition-reduce, the closed frequent sequences with round-specific length and the candidates for the next round of computation are generated. Since the candidates and their pseudo project databases are independent with each other, BIDE-MR achieves high speed-ups. We implement BIDE-MR on an Apache Hadoop cluster and use BIDE-MR to mine the vehicles which frequently appear together from massive records collected at different monitoring sites. The results show that BIDE-MR attains good parallelization. © 2012 Springer-Verlag.

关键词： MapReduce

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A method for the WSN channel modeling via stochastic differential equations and its applications

A method for the WSN channel modeling via stochastic differe...

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International Conference on Wireless Communications and Signal processing (WCSP)

作者： Liulei Zhou Luoquan Hu Yiming Wang Jia Hou Shuqi Liu School of Electronics and Information Engineering Provincial Key Laboratory for Computer Information Processing Technology Soochow University China Soochow University Suzhou Jiangsu CN School of Electronics and Information Engineering Soochow University China

ISBN: (纸本)9781467358309

Exponential correlated random variables are generated by stochastic differential equations (SDEs), which are described by Markov diffusion processes. Under the assumption of ergodicity of stochastic process, the stationary distribution of Markov diffusion process is introduced, which is determined by drift and diffusion coefficient. We choose the drift coefficient as a linear function. The drift coefficient can be derived directly from diffusion coefficient and aimed probability density function (pdf). As a result, a generalized method for the generation of exponential correlated random variables is determined. We compare the different diffusion coefficients of Markov model. The new diffusion coefficient model can be used in Milstein high order method and the corresponding algorithm is more robust. The correlation of the random samples can be adjusted through changing a single parameter of diffusion coefficient. The generation of approximately uniformly distributed random variables with exponential correlation is introduced as an example of generating random variables with a specified pdf and correlation function, where there is no determined closed form expression of the pdf. Simulation results validate the accuracy and the effectiveness of this method.

关键词： wireless sensor network stochastic model fading channel diffusion process correlation Diffusion processes diffusion coefficient Wireless sensor networks Fading channels Random variable Stochastic models stochastic differential equation stochastic derivative drift drift channel modeling Markov random sample

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An online semantic tree for link detection

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Journal of Convergence information technology 2012年第5期7卷 147-157页

作者： He, Ruifang Hong, Yu Information System and Software Engineering Lab School of Computer Science and Technology Tianjin University Tianjin 15001 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou 215006 China

Link Detection (abbr. LDT) is to determine whether two stories discuss the same topic in Topic Detection and Tracking (abbr. TDT) track. The key issue is to correctly measure the relevance between two stories. Most researches on LDT use a series of independent words to describe stories (each story is a text specially discussing news), and the relevance between two stories is determined based on the percentage and weight of overlapping words between them. Although substantial improvement has been achieved, inadequate descriptions of word sense and semantics still have negative influences on the accuracy of LDT. In this paper we propose an online semantic tree, which is hierarchically constructed by the most relevant words extracted from previous story streams. In online semantic tree, word sense is described by a series of words in a sense closed-loop, and semantic relation among words is measured by depth and width of level that words locate in. In LDT, online semantic tree is built for each story, and the relevance between two stories is determined by measuring the KL divergence between their online semantic trees. The method performs quite well on TDT4 corpus. The Min Norm CDet of the method in testing is 0.2274 lower than that of the baseline.

关键词： Semantics

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Evolutionary modeling approach for crowd animation

Evolutionary modeling approach for crowd animation

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2012 International Conference on computer Science and information processing, CSIP 2012

作者： Yu, Hanchao Liu, Hong Yang, Xiaopeng School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China

ISBN: (纸本)9781467314114

In order to support generating crowd animation roles automatically based on a 3D animation prototype, an evolutionary modeling approach was proposed. The approach could generate a great deal of 3D animation modelings which were alike in appearance but different in characteristics by deforming the 3D animation prototype. An interactive and adaptive genetic algorithm AIAGA was introduced in this approach. In AIAGA, ACIS rule expressions were expressed by three binary trees, which were used to scale 3D entities unevenly in the x-axis, y-axis and z-axis direction separately. New rule expressions, which were used to generate new modelings by evolving, were generated by selection, adaptive crossover and mutation on binary trees. Experiments in the prototype system developed in this paper show that the proposed approach can effectively support generating a series of 3D animation modelings for crowd animation. © 2012 IEEE.

关键词： Binary trees

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A survey on video-based vehicle behavior analysis algorithms

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Journal of Multimedia 2012年第3期7卷 223-230页

作者： Wu, Jian Cui, Zhi-Ming Chen, Jian-Ming Zhang, Guang-Ming The Institute of Intelligent Information Processing and Application Soochow University Suzhou 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China Jiangsu Yihe Traffic Engineering Co. Ltd Suzhou 215002 China

Analysis of the Vehicle Behavior is mainly to analyze and identify the vehicles' motion pattern, and describe it by the use of natural language. It is a considerable challenge to analyze and describe the vehicles' behavior in a complex scene. This paper first hackles the development history of the intelligent transportation system and analysis of vehicles' behavior, and then conducts an indepth analysis of current situation of vehicle behavior analysis from the video processing, video analysis and video understanding, summarizes the achieved results and the key technical problems, and prospects the future development of vehicle behavior analysis. © 2012 ACADEMY PUBLISHER.

关键词： Video signal processing

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Intrusion-resilient identity-based signature: Security definition and construction

Intrusion-resilient identity-based signature: Security defin...

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作者： Yu, Jia Kong, Fanyu Cheng, Xiangguo Hao, Rong Fan, Jianxi College of Information Engineering Qingdao University 266071 Qingdao China Shandong Provincial Key Laboratory of Computer Network 250014 Jinan China Institute of Network Security Shandong University 250100 Jinan China School of Computer Science and Technology Soochow University 215006 Suzhou China

Traditional identity-based signatures depend on the assumption that secret keys are absolutely secure. Once a secret key is exposed, all signatures associated with this secret key have to be reissued. Therefore, limiting the impact of key exposure in identity-based signature is an important task. In this paper, we propose to integrate the intrusion-resilient security into identity-based signatures to deal with their key exposure problem. Compared with forward-secure identity-based signatures and key-insulated identity-based signatures, our proposal can achieve higher security. The proposed scheme satisfies that signatures in any other time periods are secure even after arbitrarily many compromises of base and signer, as long as the compromises do not happen simultaneously. Furthermore, the intruder cannot generate signatures pertaining to previous time periods, even if she compromises base and signer simultaneously to get all their secret information. The scheme enjoys nice average performance. There are no cost parameters including key setup time, key extract time, base (signer) key update time, base (signer) key refresh time, signing time, verifying time, and signature size, public parameter size, base (signer) storage size having complexity more than O(log T) in terms of the total number of time periods T in this scheme. We also give the security definition of intrusion-resilient identity-based signature scheme and prove that our scheme is secure based on this security definition in the random oracle model assuming CDH problem is hard. © 2011 Elsevier Inc.

关键词： Network security

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