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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Liang Liu Xi Zhang Huadong Ma Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University-áof Posts and-áTelecommunications Beijing China Networking and Information System Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

ISBN: (纸本)9781467307734;9781467307758

Most existing works on sensor coverage mainly concentrate on the full coverage models which ensure that all points in the deployment region are covered at the expense of high complexity and cost. In contrast, the exposure-path prevention does not require full coverage sensor deployment, and instead it only needs the partial coverage, because the exposure paths are prevented as long as no moving objects or phenomena can go through a deployment region without being detected. Towards this end, we focus on the partial coverage by applying the percolation theory to solve the exposure path problem for wireless sensor networks. Specifically, we propose a bond-percolation based scheme by mapping the exposure path problem into a bond percolation model. Using this model, we derive the analytical expressions of critical densities for wireless sensor networks under random sensor deployment.

关键词： Lattices Wireless sensor networks Simulation Upper bound Educational institutions Approximation methods Wireless networks

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Web service composition algorithm based on hybrid-QoS and pair-wise comparison matrix

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Journal of Information and Computational Science 2012年第1期9卷 135-142页

作者： Zhang, Longchang Zhang, Tongguang Zhang, Chengwen School of Marketing Management Liaoning Technical University Huludao 125105 China College of Computer and Information Engineering Xinxiang University Xinxiang 453003 China Beijing Key Laboratory of Intelligent Telecommunications Software Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China

Open and dynamic Internet environment increased the uncertainty of composition service selection and user's weight expressed by pair-wise comparison matrix is closer to user's habits. To solve the above difficulties, this paper presents a novel hybrid QoS model supporting real numbers, interval numbers, triangular fuzzy numbers and intuitionistic fuzzy numbers, a strategy for aggregating composition service QoS and a user weight model expressed by pair-wise comparison matrix firstly. Furthermore, Web service composition algorithm based on AHP and TOPSIS (WSCA AT) is presented, which includes five main steps: calculating user's weight, converting hybrid QoS into intervals, weighting normalized decisionmatrix, determining the positive and negative ideal solutions and calculating the closedegrees of candidates. Finally, some experiments demonstrate the benefits and effectiveness of our approach. © 2012 Binary Information Press January 2012.

关键词： Quality of service

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Tracking and identifying burglar using collaborative sensor-camera networks

Tracking and identifying burglar using collaborative sensor-...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Haitao Zhang Shaojie Tang Xiang-Yang Li Huadong Ma Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University슠of Posts and슠Telecommunications Beijing China Department of Computer Science Illinois Institute of Technology Chicago USA Tsinghua National Laboratory of Information Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781467307734;9781467307758

This work presents BurTrap, a networking system which integrates wireless modules (such as TelosB nodes) with networked surveillance cameras to automatically, accurately, timely track and identify burglar who stole the property. First, we design an energy-efficient wakeup scheduling protocol that guarantees a successful target tracking while reducing the communication energy consumption of the portable wireless module. Then, we identify burglar among all the objects appeared in the obtained video information by performing trajectory fitting between the estimated geometric trajectory and the estimated local visual trajectory. Through extensive experiments, we show that BurTrap can pinpoint the burglar with extremely high accuracy.

关键词： Trajectory Wireless communication Cameras Wireless sensor networks Visualization Surveillance Sensors

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A binary-classification-tree based framework for distributed target classification in multimedia sensor networks

A binary-classification-tree based framework for distributed...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Liang Liu Anlong Ming Huadong Ma Xi Zhang Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University슠of Posts and슠Telecommunications Beijing China Networking and Information System Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

ISBN: (纸本)9781467307734;9781467307758

With rapid improvements and miniaturization in hardware, sensor nodes equipped with acoustic and visual information collection modules promise an unprecedented opportunity for target surveillance applications. This paper investigates a critical task of target surveillance, multi-class classification, in distributed multimedia sensor networks. We first analyze the procedure of target classification utilizing the acoustic and visual information. Then, we propose a binary classification tree based framework for distributed target classification in multimedia sensor networks. The proposed framework includes three main components: Generation of binary classification tree, Division of binary classification tree, and Selection of multimedia sensor nodes. Finally, we conduct an experimental application of target classification and extensive simulations to validate and evaluate our proposed framework and related schemes.

关键词： multimedia communication Feature extraction Acoustics Visualization Support vector machines Training Wireless sensor networks

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Physarum optimization: A biology-inspired algorithm for minimal exposure path problem in wireless sensor networks

Physarum optimization: A biology-inspired algorithm for mini...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Liang Liu Yuning Song Huadong Ma Xi Zhang Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing University슠of Posts and슠Telecommunications Beijing China Networking and Information System Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

ISBN: (纸本)9781467307734;9781467307758

Using insights from biological processes could help to design new optimization techniques for long-standing computational problems. This paper exploits a cellular computing model in the slime mold physarum polycephalum to solve the minimal exposure path problem which is a fundamental problem corresponding to the worst-case coverage in wireless sensor networks. We first formulate the minimal exposure path problem, and then convert it into the shortest path problem by discretizing the monitoring field to a large-scale weighted grid. Inspired by the path-finding capability of physarum, we develop a new optimization algorithm, named as the physarum optimization, for solving the shortest path problem. Our proposed algorithm is with low-complexity and high-parallelism. Moreover, the core mechanism of our physarum optimization is also helpful for designing new graph algorithms and improving routing protocols and topology control in self-organized networks.

关键词： Mathematical model Electron tubes Optimization Computational modeling Equations Organisms

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Irregular community discovery for cloud service improvement

Irregular community discovery for cloud service improvement

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作者： Liu, Jin Zhou, Jing Wang, Junfeng Zhang, Feng Liu, Fei State Key Lab. of Software Engineering Wuhan University Wuhan 430072 China Lab. of Complex Systems and Intelligence Science Institute of Automation CAS Beijing 100190 China State Key Lab. for Novel Software Technology Nanjing University Nanjing China School of Computer Science Communication University of China Beijing 100024 China Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100190 China College of Computer Science Sichuan University Chengdu 610064 China Software School Sun Yat-sen University Guangzhou 510006 China

Utility services provided by cloud computing rely on virtual customer communities forming spontaneously and evolving continuously. Clarifying the explicit boundaries of these communities is thus essential to the quality of utility services in cloud computing. Communities with overlapping features or prominent peripheral vertexes are usually typical irregular communities. Traditional community identification algorithms are limited in discovering irregular topological structures from CR networks, whereas these irregular shapes typically play an important role in finding prominent customers which are ignored in social CRM otherwise. We present a novel method of discovering irregular communities. It firstly finds and merges primitive maximal cliques and the irregular features of overlapping and prominent sparse vertices are further considered. An empirical case and a methodology comparison confirm the feasibility and efficiency of our approach. © 2012 Springer Science+Business Media, LLC.

关键词： Cloud computing

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Parallel implementation of apriori algorithm based on MapReduce

Parallel implementation of apriori algorithm based on MapRed...

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13th ACIS International Conference on software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2012

作者： Li, Ning Zeng, Li He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100139 China Key Lab. of Machine Learning and Computational Intelligence College of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China

ISBN: (纸本)9780769547619

Searching frequent patterns in transactional databases is considered as one of the most important data mining problems and Apriori is one of the typical algorithms for this task. Developing fast and efficient algorithms that can handle large volumes of data becomes a challenging task due to the large databases. In this paper, we implement a parallel Apriori algorithm based on MapReduce, which is a framework for processing huge datasets on certain kinds of distributable problems using a large number of computers (nodes). The experimental results demonstrate that the proposed algorithm can scale well and efficiently process large datasets on commodity hardware. © 2012 IEEE.

关键词： MapReduce

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Scaling Laws of Multicast Capacity for Power-Constrained Wireless Networks under Gaussian Channel Model

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IEEE Transactions on computers 2012年第5期61卷 713-725页

作者： Cheng Wang Changjun Jiang Xiang-Yang Li Shaojie Tang Yuan He Xufei Mao Yunhao Liu Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science and Engineering Building of Electronics and Information Engineering University of Tongji Shanghai China Department of Computer Science Illinois Institute of Technology Chicago IL USA Tsinghua National Laboratory for Information Science and Technology (TNLIST) Tsinghua University Beijing China Department of Computer Science and Engineering University of Tongji China Department of Computer Science Hong Kong University of Science and Technology Kowloon Hong Kong China Tsinghua National Laboratory for Information Science and Technology (TNLIST) School of Software Tsinghua University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing China

We study the asymptotic networking-theoretic multicast capacity bounds for random extended networks (REN) under Gaussian channel model, in which all wireless nodes are individually power-constrained. During the transmission, the power decays along path with attenuation exponent α >; 2. In REN, n nodes are randomly distributed in the square region of side length √n. There are n s randomly and independently chosen multicast sessions. Each multicast session has n d + 1 randomly chosen terminals, including one source and n d destinations. By effectively combining two types of routing and scheduling strategies, we analyze the asymptotic achievable throughput for all n s = ω(1) and nd. As a special case of our results, we show that for n s = Θ(n), the per-session multicast capacity for REN is of order Θ(1/√n d n) when nd = O(n/(log n) a+1 ) and is of order Θ(1/n d · (log n) -n/2 ) when n d = Ω(n/log n).

关键词： Lattices Throughput Upper bound Road transportation Receivers Interference Routing

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STUDY AND IMPLEMENTATION OF PERSONALIZED SEARCHING SYSTEM BASED ON USER'S INTEREST MODEL

STUDY AND IMPLEMENTATION OF PERSONALIZED SEARCHING SYSTEM BA...

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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

作者： Xue Li Junping Du Lingling Zi Katsunori Shimohara Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer ScienceBeijing University of Posts and Telecommunications School of Electronic and Information Engineering Liaoning Technical University Department of Information Systems Design Doshisha University

The common personalized searching technology can neither make full use of features of domain knowledge,nor understand the user's special needs in this *** at solving this issue,this paper studies personalized searching technology combining the characteristics of *** tourism fields,this paper designs and realizes a user-based personalized searching system,and provides with its general framework and implementation of system *** tourism field knowledge database is firstly *** to the user's browsing history and personal information,this paper builds the user-interest model based on tourism areas,and then realizes the personalized information recommendation technology and information expanding *** results show that the information searching based on domain knowledge and tourism information achieves better results in recall rate,accuracy and recommend function than traditional searching engine.

关键词： Personalized searching Tourism area Regional weight Attractions priority

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The hot topics evaluation and key issues in online news about emergency events

The hot topics evaluation and key issues in online news abou...

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World Congress on intelligent Control and Automation (WCICA)

作者： Liping Chen Junping Du Katsunori Shimohara Maoqiang Song Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia School of Computer Science Beijing University of Posts and Telecommunications Beijing China Department of Information Systems Design Doshisha University Kyotanabe Kyoto Japan Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education Beijing University of Posts and Telecommunications Beijing China

This paper concentrates on the evaluation system of hot topics in the online news about the emergency events. First, the overall technology framework of the system was established and description was formulated on the key issues need to be resolved prior to the evaluation of the hot topics. Focusing on the vector representation of the news documents and clustering algorithm of the news topics, a modified TF-IDF text representation model was formulated and an improved selection method of initial topic clustering center was established. The evaluation model of the hot topics was then established to evaluate the heat value of the clustered topics based on extracting websites feature parameters, such as the time properties of the news reports, reporting properties, and user attention. Finally, the paper takes news of 2011 Japan Earthquake as data source for algorism and model evaluation. The results showed that the identification and evaluation system of hot topics in online news about the emergency events was valid, and the evaluation result of hot topics by the systems agreed with the expected results. It lays a foundation for the subsequent studying about the tracking and evolution of the hot topics.

关键词： Vectors Heating Feature extraction Media Educational institutions Earthquakes Time frequency analysis

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