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International Journal of Digital Content technology and its Applications 2012年第22期6卷 430-439页

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

A robust image watermarking scheme based on singular value decomposition (SVD) and discrete wavelet transform (DWT) with Artificial Bee Colony Algorithm is proposed in this paper. Previous SVD based watermarking algorithms have a major drawback of false positive detection. For solving this problem, the similarity measure of U matrix for ownership is checked. To achieve the highest possible robustness without losing the transparency, an adaptive scale factor is obtained by the artificial bee colony (ABC) algorithm. Experimental results demonstrate that the performance of the proposed approach outperforms the existing methods.

关键词： Discrete wavelet transforms

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Logic program with prioritized preference

Logic program with prioritized preference

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International Conference on Automatic Control and Artificial Intelligence, ACAI 2012

作者： Wang, Jinxin Zhang, Zhizheng Zhai, Yuqing Gao, Zhiqiang School of Computer Science and Engineering Southeast University Nanjing China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou China

ISBN: (纸本)9781849195379

Prioritized preference based decision making is pervasive in real problems solving. We propose a new paradigm of logic programming to handle prioritized preference. The paradigm is interpreted based on answer set semantics. We introduce two semantics to optimize answer sets of the programs. Then, we present the properties of those semantics by investigating their order characterization. Finally, compared with related works, it shows our new paradigm has strong expressive power of preference representation and reasoning.

关键词： Semantics

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Mining association rules on qing court medical records: Semantic abstraction and standardization

Mining association rules on qing court medical records: Sema...

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2012 IEEE 12th International Conference on computer and information technology, CIT 2012

作者： Cao, Cong Wang, Weimin Cao, Cungen Zang, Liangjun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate University Chinese Academy of Sciences Beijing China School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang China

ISBN: (纸本)9780769548586

To explore the association relations among disease, pathogenesis, physician, symptoms and drug, we adapt a variational Apriori algorithm for discovering association rules on a dataset of the Qing Court Medical Records. There are five types of semantic associations we intend to discover, including Disease-Pathogenesis-Drug set(DPaD), Disease-Symptoms-Drug set (DSyD), Disease-Drug set (DD), Disease-Physician-Drug set (DPhD) and Disease-Drug Category Set (DDC). To solve the synonymity problem and the data sparseness problem, we give a mapping strategy which maps pathogenesis to standardized forms and maps drugs to drug categories. With the mapping strategy the number of frequent drug sets rises from 287 to 1184. The experimental results indicate that our method with the mapping strategy is an effective way to acquire valuable semantic association rules. © 2012 IEEE.

关键词： Association rules

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Pick-up tree based route recommendation from taxi trajectories

Pick-up tree based route recommendation from taxi trajectori...

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13th International Conference on Web-Age information Management, WAIM 2012

作者： Hu, Haoran Wu, Zhiang Mao, Bo Zhuang, Yi Cao, Jie Pan, Jingui State Key Lab. for Novel Software Technology Nanjing University Nanjing China Jiangsu Provincial Key Laboratory of E-Business Nanjing University of Finance and Economics Nanjing China College of Computer and Information Engineering Zhejiang Gongshang University Hangzhou China

ISBN: (纸本)9783642322808

Recommending suitable routes to taxi drivers for picking up passengers is helpful to raise their incomes and reduce the gasoline consumption. In this paper, a pick-up tree based route recommender system is proposed to minimize the traveling distance without carrying passengers for a given taxis set. Firstly, we apply clustering approach to the GPS trajectory data of a large number of taxis that indicates state variance from "free" to "occupied", and take the centroids as potential pick-up points. Secondly, we propose a heuristic based on skyline computation to construct a pick-up tree in which current position is its root node that connects all centroids. Then, we present a probability model to estimate gasoline consumption of every route. By adopting the estimated gasoline consumption as the weight of every route, the weighted Round-Robin recommendation method for the set of taxis is proposed. Our experimental results on real-world taxi trajectories data set have shown that the proposed recommendation method effectively reduce the driving distance before carrying passengers, especially when the number of cabs becomes large. Meanwhile, the time-cost of our method is also lower than the existing methods. © 2012 Springer-Verlag.

关键词： Taxicabs

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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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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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Fuzzy inference mechanism based automatic elastic registration of two-dimensional gel electrophoresis images

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information technology Journal 2012年第1期11卷 20-29页

作者： Pan, Yonghui Deng, Zhaohong Wang, Shitong Gao, Qun Jiangsu Engineering R and D Center for Information Fusion Software Jiangsu Jiangyin 214405 China School of Digital Media Jiangnan University Lihu Avenue 1800 Wuxi Jiangsu 214122 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Jiangsu Suzhou 215123 China

A key technique for protein analysis is the geometric alignment of two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), i.e., 2-D PAGE image registration. In this study, the adaptability in elastic image registration was emphasized. According to the characteristics of 2-D gel image registration, a fuzzy-inference-rule based flexible model (FIM-FM) is proposed to model the complex transformation between 2-D gel image pairs. By introducing the concept of motion estimation, the parameter learning rules of the proposed model are derived for registration. The experiments show that the proposed algorithm is highly effective for registration of 2-D gel images and is competitive to the existing state-of-the-art algorithms. © 2012 Asian Network for Scientific information.

关键词： Image registration

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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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Embedding Complete Binary Trees into Locally Twisted Cubes

Embedding Complete Binary Trees into Locally Twisted Cubes

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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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Mining Association Rules on Qing Court Medical Records: Semantic Abstraction and Standardization

Mining Association Rules on Qing Court Medical Records: Sema...

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International Conference on computer and information technology (CIT)

作者： Cong Cao Weimin Wang Cungen Cao Liangjun Zang Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences School of Computer Science & Engineering Jiangsu University of Science and Technology Zhenjiang China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China

关键词： Drugs Association rules Diseases Semantics Databases

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