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2013 International Conference on Computer,Networks and Communication Engineering(ICCNCE 2013)

作者： Liu Minjia Lin Jie Yuan Yuyu School of Computer Science and Technology Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Services Ministry of Education Beijing University of Posts and Telecommunications

ISBN: (纸本)9781629932170

Unmanned aerial vehicle (UAV) builds cognitive map for the enemy important targets and anti-aircraft fire threats in the unknown environment. Then UAV tries to avoid the threats and head to important targets where the enemy locate. This paper studies how the unmanned aerial vehicle (UAV) in complex dynamic field environment make path planning to search the enemy's important targets. The standard for choosing the most appropriate path from alternative paths is based on cost equation. It is the smallest cost that the UAV can get. The study of self organization path planning is to analyze the four kinds of short-term costs and a long-term cost. Through adjusting the weight coefficient, all kinds of UAV path plannings in different battlefield environment can be achieved.

关键词： unmanned aerial vehicles(UAV), cooperative reconnaissance, path planning, information distribution, selforganization

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Research of contour extraction for mountain tunnel entrance images

Research of contour extraction for mountain tunnel entrance ...

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2013 International Conference on Computer,Networks and Communication Engineering(ICCNCE 2013)

ISBN: (纸本)9781629932170

Unmanned aerial vehicle (UAV) needs unmanned ground vehicle (UGV) searching the areas, such as tunnel inside the mountain. The technology of UGV extraction image features of mountain tunnel portal is very important. This paper implies embedded hardware platform to realize the UGV scanning environment image contour feature extraction. A new digital image processing algorithm with MATLAB is expressed for miniaturization real-time image contour feature extraction procedure. The processing speed is fast enough for real-time search task. Otsu method is implied to determine the threshold value, combining with Sobel operator, Prewitt operator and Canny operator to verify that Canny operator has the best effect in images contour extraction. The contour is precision with small amount of calculation.

关键词： UAV, cooperative search, wireless communication, image feature extraction, 3G SIM card networking

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Use the core clusters for the initialization of the clustering based on one-class support vector machine

Use the core clusters for the initialization of the clusteri...

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4th International Conference on Advances in Swarm Intelligence, ICSI 2013

作者： Gu, Lei Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing 210023 China

ISBN: (纸本)9783642387142

The clustering method based on one-class support vector machine has been presented recently. Although this approach can improve the clustering accuracies, it often gains the unstable clustering results because some random datasets are employed for its initialization. In this paper, a novel initialization method based on the core clusters is used for the clustering algorithm based one-class support vector machine. The core clusters are gained by constructing the neighborhood graph and they are regarded as the initial datasets of the clustering algorithm based one-class support vector machine. To investigate the effectiveness of the proposed approach, several experiments are done on four datasets. Experimental results show that the new presented method can improve the clustering performance compared to the previous clustering algorithm based on one-class support vector machine and k-means approach. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Support vector machines

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An evolutionary semi-supervised subtractive clustering method by seeding

An evolutionary semi-supervised subtractive clustering metho...

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2012 International Conference on Information technology and Software Engineering, ITSE 2012

ISBN: (纸本)9783642345210

A semi-supervised subtractive clustering has been proposed recently. However, it performance depends greatly on the choice of the parameters of the mountain function and only proper parameters enable the clustering method to produce a better effect. In this paper, an evolutionary semi-supervised subtractive clustering method by seeding is presented. The novel approach uses the genetic algorithms for tuning the relative parameters of the subtractive clustering by minimizing the Davies Bouldin clustering validity index regarded as the fitness function. To investigate the effectiveness of our approach, several experiments are done three real datasets. Experimental results show that our proposed method can improve the clustering performance significantly compared to other two traditional semi-supervised clustering algorithms. © 2013 Springer-Verlag.

关键词： Genetic algorithms

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Two-dimensional color uncorrelated principal component analysis for feature extraction with application to face recognition

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2012 International Conference on Service-Oriented computing, ICSOC 2012

作者： Zhao, Cairong Miao, Duoqian Department of Computer Science and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai 7201804 China Ministry of Education Nanjing 210094 China

ISBN: (纸本)9783319029603

This paper proposes a two-dimensional color uncorrelated principal component analysis algorithm(2DCUPCA) for unsupervised subspace learning directly from color face images. The 2DCUPCA can be used to explore uncorrelated properties among color-based features, which contain minimum redundancy and ensure linear independence among features. Furthermore, the proposed 2DCUPCA provided the theoretical foundations analysis and proved the uncorrelated property between color-based features in theory. This makes it sure that the extracted features directly from three color image matrices will be uncorrelated. Finally, experimental results on the AR and FRGC-2 color face databases show that 2DCUPCA achieves better recognition performance than other color face recognition methods. © Springer International Publishing 2013.

关键词： Principal component analysis

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A Cooperative Game Based Allocation for Sharing Data Center Networks

A Cooperative Game Based Allocation for Sharing Data Center ...

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IEEE INFOCOM Conference

作者： Jian Guo Fangming Liu Dan Zeng John C. S. Lui Hai Jin Key Laboratory of Services Computing Technology and System Ministry of Education School of Computer Science and Technology Huazhong University of Science and Technology China The Chinese University of Hong Kong

ISBN: (纸本)9781467359443

In current IaaS datacenters, tenants are suffering unfairness since the network bandwidth is shared in a best-effort manner. To achieve predictable network performance for rented virtual machines (VMs), cloud providers should guarantee minimum bandwidth for VMs or allocate the network bandwidth in a fairness fashion at VM-level. At the same time, the network should be efficiently utilized in order to maximize cloud providers' revenue. In this paper, we model the bandwidth sharing problem as a Nash bargaining game, and propose the allocation principles by defining a tunable base bandwidth for each VM. Specifically, we guarantee bandwidth for those VMs with lower network rates than their base bandwidth, while maintaining fairness among other VMs with higher network rates than their base bandwidth. Based on rigorous cooperative game-theoretic approaches, we design a distributed algorithm to achieve efficient and fair bandwidth allocation corresponding to the Nash bargaining solution (NBS). With simulations under typical scenarios, we show that our strategy can meet the two desirable requirements towards predictable performance for tenants as well as high utilization for providers. And by tuning the base bandwidth, our solution can enable cloud providers to flexibly balance the tradeoff between minimum guarantees and fair sharing of datacenter networks.

关键词： Bandwidth Servers Channel allocation Resource management Games Bismuth NIST

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Model predictive control for HVAC systems - A review

Model predictive control for HVAC systems - A review

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Kwadzogah, Roger Zhou, Mengchu Li, Sisi Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07013 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9781479915156

The world faces an energy problem. Oil supply is gradually running out. Its use is polluting the planet with greenhouse gas. Most alternative energy sources also pose some environmental problems. Hence the efficient use of energy must be an integral part of any solution to them. Whenever possible, one must use advanced control engines and technologies to achieve the highest energy efficiency. In Heating Ventilation and Air Conditioning (HVAC) industry, much research has identified a number of energy-saving control methods. Derived from optimal control theory, Model Predictive Control (MPC) is one of them. This paper presents a comprehensive review of its applications to HVAC systems. © 2013 IEEE.

关键词： Model predictive control

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A novel unconstrained criterion for blind equalization based on the property of vector norm

A novel unconstrained criterion for blind equalization based...

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3rd International Conference on Materials Science and Information technology, MSIT 2013

作者： Wang, Da Lei Yang, Bin Wu, Ying Wang, Xiu Xiu National Digital Switching System Engineering and Technology Research Center Zhengzhou Henan Province 450002 China National Key Laboratory of Integrated Services Networks Xidian University Xi'an ShaanXi Province 710071 China

ISBN: (纸本)9783037857700

This paper proposes a novel unconstrained criterion of blind equalization, which is based on minimizing the difference between two norms of the joint channel-equalizer impulse response. There is no need to impose any constraint on the equalizer coefficients when adjusting. The algorithm is convergent in the sense that a perfect equalization solution is achieved at every local optimum of the function. And we propose a batch algorithm and online-recursive method for implementation. Finally, the reliability, validity and good performance of the proposed algorithm are verified by evaluation of residual ISI through computer simulations. © (2013) Trans Tech Publications, Switzerland.

关键词： Blind equalization

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Abnormal network traffic detection approach based on alive entropy

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Tongxin Xuebao/Journal on Communications 2013年第SUPPL.2期34卷 51-57页

作者： Mu, Xiang-Kun Wang, Jin-Song Xue, Yu-Feng Huang, Wei Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China

A novel alive entropy-based detection approach was proposed, which detects the abnormal network traffic based on the values of alive entropies. The alive entropies calculated based on the NetFlow data coming from the network traffic of input and output of a whole system, which is essentially a monitored network. In order to decrease false positive rate of abnormal network traffic, different scales are selected to compute the values of alive entropies in different sizes of network traffic. With the low false positive rate of abnormal network traffic, the abnormal network traffic can be effectively detected. Experiments carried out on a real campus network were used to evaluate the effectiveness of the proposed approach. A comparative study illustrates that the proposed approach may easily detect the abnormal network traffic with random characteristics in comparison with some "conventional" approaches reported in the literatures.

关键词： Entropy

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Research of deep packet inspection system based on the MapReduce

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Journal of Computational Information systems 2013年第7期9卷 2587-2594页

作者： Wang, Jinsong Wei, Jun Lin, Sheng Huang, Wei Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300384 China

In this paper, we propose a deep packet inspection system based on the MapReduce. The MapReduce which is a parallel distributed programming model developed by Google applies the technology of deep packet inspection. Network protocol analysis technique is invoked to realize detect, effectively reducing the packet number to be matched. Furthermore, cache technology is adopted to store attack signature from database in order to reduce the frequency of reading the rules from library file which improved the detection efficiency. Experimental results show that effectiveness of the proposed system with the high-speed network traffic. Copyright © 2013 Binary Information Press.

关键词： MapReduce

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