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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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Improved MFCC feature extraction combining symmetric ICA algorithm for robust speech recognition

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Journal of Multimedia 2012年第1期7卷 74-81页

作者： Zhao, Huan Zhao, Kai Liu, He Yu, Fei School of Information Science and Engineering Hunan University Changsha China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou China

Independent component analysis (ICA), instead of the traditional discrete cosine transform (DCT), is often used to project log Mel spectrum in robust speech feature extraction. The paper proposed using symmetric orthogonalization in ICA for projecting log Mel spectrum into a new feature space as a substitute in extracting speech features to solve the problem of cumulative error and unequal weights that deflation orthogonalization brings, so as to improve the robustness of speech recognition systems, and increase the efficiency of estimation at the same time. Furthermore, the paper studied the nonlinearities of the objective function in ICA and their coefficients, tested them in all kinds of environments, finding that they influenced the recognition rate greatly in speech recognition systems, and applied a new coefficient in the proposed method. Experiments based on HMM and Aurora-2 speech corpus suggested that the new method was superior to deflation- based ICA and MFCC. © 2012 ACADEMY PUBLISHER.

关键词： Feature extraction

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A Novel Evaluation Method Based on Entropy for Image Segmentation

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Procedia Engineering 2012年 29卷 3959-3965页

作者： Xiaoling Chen Riming Wang Yunfei Cao Weiyu Yu Jiuchao Feng School of Electronic and Information Engineering South China University of TechnologyGuangzhou China Provincial Key Laboratory for Computer Information Processing Technology Soochow UniversitySuzhouJiangsu 215006 China

Image segmentation evaluation is still a hotspot problem. Various methods of image segmentation evaluation have been proposed. Amongst all the evaluation approaches, Segmentation Entropy Quantitative Assessment (SEQA) is one of the most popular methods. In this paper, segmentation entropy is proposed. In experiments, some standard images which are segmented by multi-level thresholds are tested and used to conclude the characteristics of SEQA, including its application conditions, advantages and disadvantages in image segmentation evaluation.

关键词： SEQA Segmentation Entropy Multi-Threshold Segmentation

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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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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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Parallel answer set solving algorithm based on multi-core processor technology

Parallel answer set solving algorithm based on multi-core pr...

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International Conference on Automatic Control and Artificial Intelligence, ACAI 2012

作者： Zhang, Xing 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 China

ISBN: (纸本)9781849195379

Answer Set Programming (ASP) is widely used in many areas of Artificial Intelligence. A parallel answer set solving algorithm based on multi-core processor technology is proposed in this paper. The parallel algorithm is designed on the shared-memory parallel computing model which is the -abs model of multi-core processor. The algorithm can distribute the whole solving task to several threads separately run on different cores of the multi-core processor. To make this parallel algorithm more efficient, we implement load balancing among different threads by the technique of shared global queue. The experimental results show that the parallel algorithm can improve the solving efficiency by times with the growth of processor cores.

关键词： Parallel algorithms

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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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A new type of dehumidifier for enclosed high-voltage switchgear cabinet

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Telkomnika - Indonesian Journal of Electrical Engineering 2012年第7期10卷 1637-1642页

作者： Zhang, Jinbo Shao, Tongguang Wang, Yu Wang, Jing College of Computer and Information Engineering Hohai University Changzhou 213022 China Jiangsu Provincial Key Lab. of Power Transmission Equipment Technology Changzhou 213022 China

In order to eliminate the internal condensation of enclosed switchgear cabinet, this paper introduced a subminiature and high-performance dehumidifier based on semiconductor refrigeration technology. This equipment utilized a Fuzzy self-tuning PID intelligent controller to monitor the humidity change in the cabinet continuously and judged the dehumidifier start-stop automatically. Besides, real-time communication with a host computer through RS485 interface was also considered. Experiments showed that this design could effectively reduce the internal humidity, eliminate the condensation, and provide a practical and effective solution to prevent the power device accidents caused by wet and condensation. © 2012 Universitas Ahmad Dahlan.

关键词： Condensation

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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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Generalized geometry-based optimal power control in wireless networks

Generalized geometry-based optimal power control in wireless...

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2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2012

作者： Wang, Wei Shin, Kang G. Zhang, Zhaoyang Wang, Wenbo Peng, Tao Department of Information Science and Electronic Engineering Zhejiang Provincial Key Laboratory of Information Network Technology Zhejiang University Hangzhou 310027 China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2121 United States Wireless Signal Processing and Networking Lab Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781467319058

Geometry-based optimal power control was proposed in [14] to transform the power-control problem to a new geometrical problem on the position relationship between a line and some points. This scheme provides a novel visual perspective and lowers the complexity of optimization. We generalize this scheme to a larger class of power-control optimization problems so as to maximize the network utility with multiple average and peak power constraints in wireless networks. To facilitate the handling of the geometrical model, we define a subset of geometrical models with specified characteristics, called a regular geometrical model, and derive the type of power-control problems eligible for the regular geometrical model. For such a type of problems, two strategies are proposed for the construction of the regular geometrical model. Utilizing geometrical properties, we propose a novel geometry-based optimization scheme for the general power-control problem. Its computational complexity is significantly lower than the conventional algorithms. We also provide a further discussion on irregular geometrical model cases. Finally, we provide two examples of deploying the proposed geometry-based power-control scheme. © 2012 IEEE.

关键词： Geometry

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