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7th ACIS International Conference on Software Engineering Research, Management and Applications, SERA09

作者： Zhang, Kailong Zhou, Xingshe Zhao, Chongqing Yao, Yuan School of Computer Northwestern Polytechnical University Xi'an 710072 China Shaanxi Provincial Key Laboratory of Embedded System Technology Northwestern Polytechnical University Xi'an 710072 China

ISBN: (纸本)9780769539034

Now, autonomous tasks planning and allocating (TPA) in Multi Agent system (MAS) has been one key and fundamental problem to promote the intelligent level of such system. Autonomous TPA means that, all tasks should be (re)planned and (re)allocated automatically according to the synthesis constraints and the dynamic environment aspects, such as the changing mission, status of each member, and topology, etc. In this article, the formal descriptions of hierarchical tasks and models of logic constraints are studied firstly. And then, some new methods are proposed to evaluate the efficiency of synthesis constraints. Moreover, the key elements, e.g. task allocation vector (TAV), are designed with the theory of genetic algorithm (GA), and a TPA problem can be mapped to the solving model of GA. Based on above, the crossover and mutation operators of GA are optimized with the domain knowledge to perfect the solving efficiency and quality while ensuring the randomicity of evolution. The simulation results show that the solving quality and velocity are improved with studied methods. © 2009 IEEE.

关键词： Genetic algorithms

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Counting Pedestrian in Crowded Subway Scene

Counting Pedestrian in Crowded Subway Scene

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Congress on Image and Signal Processing, CISP

作者： Keju Zu Fuqiang Liu Zhipeng Li Key Laboratory of Embedded System and Service Computing University of Tongji Shanghai China

When the high occlusion occurs in crowded scene, face detection is a better substitute for detecting pedestrian. In this paper, we present a novel crowd analysis method based on discriminative descriptor of faces and support vector machine (SVM) ensemble. Through manipulating the input features in the same sample set, the different input features of faces are extracted to train two SVM classifiers. The classification scores of two generated classifiers are combined adaptively to make a collective decision. The first SVM, as the principal classifier gives out most of face hypotheses, while the second SVM serves as secondary one to rejecting the false positive. We present experiment to test the proposed method in crowded subway video, and the result shows that the SVM ensemble outperforms the single SVM in counting the pedestrian.

关键词： Layout Support vector machines Support vector machine classification Face detection Histograms Surveillance Humans Lighting Cameras Feature extraction

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Image Retrieval Based on Manifold Learning and Incorporate Clustering

Image Retrieval Based on Manifold Learning and Incorporate C...

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GCIS, WRI Global Congress on Intelligent systems

作者： Jianzhu Cui Fuqiang Liu Zhipeng Li Jing Li The Key Laboratory of Embedded System and Service Computing University of Tongji Shanghai China

This paper presents a novel unsupervised learning framework named image retrieval based on manifold learning and incorporate clustering. The dimensionality of image descriptors used in image retrieval applications is quite high. Given a query image, our algorithm first makes use of manifold learning (LPP) for dimensionality reduction and manifold ranking algorithm to explore the relationship among all the data points in the feature space, and then measures relevance between the query and all the images in the database accordingly. Then we use the similarities among target images for improving the performance of the image retrieval systems by cluster-based retrieval of images by unsupervised learning. Our algorithm retrieves image clusters as retrieval results by applying K-means clustering algorithm to a collection of images collected by manifold ranking algorithm. Experimental results on a general-purpose image database show that our algorithm attains a significant improvement over existing systems.

关键词： Image retrieval Clustering algorithms Feedback Unsupervised learning Support vector machines Support vector machine classification Image databases Content based retrieval Intelligent systems Laboratories

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Improved Extremal Optimization for Constrained Pairwise Testing

Improved Extremal Optimization for Constrained Pairwise Test...

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International Conference on Research Challenges in computer Science (ICRCCS)

作者： Jianjun Yuan Changjun Jiang Zuowen Jiang Department of Computer Science and Technology The Key Laboratory of Embedded System and Service Computing Ministry of Education of China University of Tongji Shanghai China

Pairwise testing, which requires that every combination of valid values of each pair of system factors be covered by at lease one test case, plays an important role in software testing since many faults are caused by unexpected 2-way interactions among system factors. In real systems, constraints usually exist between values, which means that some values cannot coexist in a valid test. Although meta-heuristic strategies like simulated annealing can generally discover smaller pairwise test suite in the presence of constraints, they may cost more time to perform search, compared with greedy algorithms. We propose a new method, improved extremal optimization, for constructing constrained pairwise test suites. Experimental results show that improved extremal optimization gives similar size of resulting pairwise test suite and yields a 13% reduction in solution time over simulated annealing.

关键词： Constraint optimization Software testing system testing Simulated annealing Costs Greedy algorithms computer science Educational technology Laboratories embedded system

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Parameter Approximate Dynamic Optimization for PSO systems

Parameter Approximate Dynamic Optimization for PSO Systems

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： Qi Kang Lei Wang Derong Liu Qidi Wu College of Electronics and Information Engineering and the Key Laboratory of Embedded System and Computer-service of MOETongji University Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences

This paper presents a novel swarm approximate dynamic programming method(swarm-ADP) for parameter optimization of PSO systems,from the perspective of optimal *** on the stability results of a simplified PSO and the swarm-ADP algorithm,parameter dynamic optimization and computation is studied in detail for a deterministic PSO system and a stochastic PSO system,***,numerical simulations based on several benchmarks optimization are *** results show the validity of the proposed parameter optimization method for PSO systems.

关键词： swarm Parameter Approximate Dynamic Optimization for PSO systems

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Study on stability of traffic flow for cooperative driving control

Study on stability of traffic flow for cooperative driving c...

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IEEE Symposium on Intelligent Vehicle

作者： Zhipeng Li Ping Wang Fuqiang Liu Key Laboratory of Embedded System and ServIce Computing supported by Ministry of Education University of Tongji Shanghai China

ISBN: (纸本)9781424435036

In the literature of traffic flow theory, the research on the effect on stability of traffic flow for cooperative driving control possesses an important significance. However, presently the the study on the problem is unsatisfactory because it is difficult to determine the impact qualitatively or quantitatively in real traffic experiment. In this paper, some efforts have been made for better understanding the effect on stability of traffic flow for cooperative driving control by investigating the stability for lattice traffic models, which are presented here by incorporating motion information of cars preceding. From linear stability analysis and direct simulations validation, we learn some properties of the effect on the stability and congestion waves by using the information of many other cars. First, cooperative driving behavior of many cars preceding can efficiently stabilize the traffic flow. Second, cooperative driving behavior of the cars nearby plays a prominent role in stability. Third, when the car number participating in cooperative driving policy exceeds a certain value, the congestion waves will disappear.

关键词： Traffic control Control systems Communication system traffic control Roads Laboratories embedded system embedded computing Stability analysis Transportation Mathematical model

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Adaptation of Mismatching services Based on Labelled Interface Automata

Adaptation of Mismatching Services Based on Labelled Interfa...

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Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

作者： Tao Liu Guosun Zeng Department of Computer Science and Technology Tongji University Shanghai 200092 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji Universit

In today's web, more and more software and applications are wrapped as services. However interactions between services are not always perfectly completed because of mismatches among them. service mediation and adaptation problems obtain increasingly concerns. In this paper, we propose an extension of interface automata, labelled interface automata, to illustrate mismatching services and adaptation. We characterize the problem by classifying different kinds of adaptation scenarios. Then we focus on how to use labelled interface automata to illustrate the building of adaption service between mismatching services.

关键词： mismatching service adaptation interface automata

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Construct pairwise test suites based on the Bak-Sneppen model of biological evolution

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World Academy of Science, Engineering and Technology 2009年 35卷 224-229页

作者： Yuan, Jianjun Jiang, Changjun Department of Computer Science and Technology The Key Lab. of 'Embedded System and Service Computing' Ministry of Education of China Tongji University Shanghai 201804 China

Pairwise testing, which requires that every combination of valid values of each pair of system factors be covered by at lease one test case, plays an important role in software testing since many faults are caused by unexpected 2-way interactions among system factors. Although meta-heuristic strategies like simulated annealing can generally discover smaller pairwise test suite, they may cost more time to perform search, compared with greedy algorithms. We propose a new method, improved Extremal Optimization (EO) based on the Bak-Sneppen (BS) model of biological evolution, for constructing pairwise test suites and define fitness function according to the requirement of improved EO. Experimental results show that improved EO gives similar size of resulting pairwise test suite and yields an 85% reduction in solution time over SA.

关键词： Simulated annealing

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Coverage optimization in wireless mobile sensor networks

Coverage optimization in wireless mobile sensor networks

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5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

作者： Xingzhen, Bai Shu, Li Changjun, Jiang Zhengzhong, Gao Electronics and Information Engineering School Tongji University Shanghai 201804 China Key Laboratory for the Embedded System and Service Computing of Ministry of Education Tongji University Shanghai 201804 China College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao 266510 China

ISBN: (纸本)9781424436934

The coverage of Wireless Sensor Networks (WSNs) is one of the most important measurement criteria of Qos. Optimal coverage of sensors is propitious to the maximum possible utilization of the available sensors. It can balance node energy consumption, and elongate network lifetime. In this paper, particle swarm optimization (PSO) approach is applied to maximize the coverage of mobile sensor networks. We first analyze the node distribution of random deployed sensor networks. There are big coverage holes as the network size grows. In order to reduce energy consumption during node move process, we study the sensor network coverage optimization in the limited mobility model. The simulation results show that sensor node move in the limited region can also realize the coverage optimization , and it can reduce the moving distance greatly. ©2009 IEEE.

关键词： Sensor nodes

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Research of Meridian Diagnosis system Based on SVM

Research of Meridian Diagnosis System Based on SVM

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The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

作者： Guo-Xia Zhang Fu-Qiang Liu Chun-Lin Song Pei-Yuan Lai BW&M Institute The Key Laboratory of Embedded System and Service ComputingMinistry of Education Tongji University ShanghaiChina

Aiming at the deficiency of the current meridian diagnosis algorithms, SVM is applied to meridian diagnosis system. The system structure is described firstly, then the model selection of SVM is discussed in detail by taking chronic pharyngitis as an example: one-against-one method is used to realize multi-class;the problem of non-symmetrical samples of C-SVM is solved by giving positive and negative samples of different weights;a margin-based bound on generalization method is used to search parameters of the model. Finally, test results show that the classifier, which is realized and tested using vc++6.0, possess a very high recognition rate and can be applied to meridian diagnosis system.

关键词： Meridians Diagnosis system SVM Nonsymmetrical Samples Generalization Bound

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