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2015 6th IEEE International Conference on Software Engineering and Service Science(ICSESS 2015)

作者： Yan-xia Cui Hong-yun Ning Yun-yun Du Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology Key Laboratory of Computer Vision and System Ministry of Education School of Computer and Communication Engineering Tianjin University of Technology

In peer-to-peer network environment, there is no centralized management authority to be relied on, so the service provider and service requester have to establish some assessment model, and evaluate the dynamic behavior of others, then choose more credible trusted entities to interact. Only in this way can they ensure security, safety and reliable decisions. On the basis of Eigen Trust model, a local trust value computation model considering time effect function is put forward, and it reduces the network overhead, increases the binding force of malicious nodes,and makes the trust value computation model more reliable and accurate. Simulation experiments show that the improved model proposed in this paper greatly reduces the network overhead indeed, and transaction success rate of nodes is higher than Eigen Trust model in the presence of malicious nodes in the P2P system.

关键词： component P2P network security trust models time influence function

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Correlative Filters for Convolutional Neural Networks

Correlative Filters for Convolutional Neural Networks

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IEEE International Conference on systems, Man and Cybernetics

作者： Peiqiu Chen Hanli Wang Jun Wu Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Computer Science and Technology Tongji University Shanghai China

ISBN: (纸本)9781479986989

This paper introduces a regularization method called Correlative Filter (CF) for Convolutional Neural Network (CNN), which takes advantage of the relevance between the convolutional kernels belonging to the same convolutional layer. During the process of training with the proposed CF method, several pairs of filters are designed in a manner of randomness to contain opposite weights in low-level layers. Regarding higher level layers where synthetical features are processed, the relation between correlative filters is explored as translation of various directions. The proposed CF method attempts to optimize the inner structure of convolutional layers and it can work jointly with other regularization techniques, such as stochastic pooling, Dropout, etc. The experimental results on the competitive image classification benchmark dataset CIFAR-10 demonstrates the performance of the proposed CF method, additionally, it is also verified that the proposed CF method is wonderful to be employed to enhance several state-of-the-art regularization models.

关键词： Feature extraction Neurons Training Stochastic processes Convolution Kernel Biological neural networks

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Noncoherent detection of satellite-based AIS signal with phase offset compensation

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Sensors and Transducers 2014年第3期166卷 128-134页

作者： Ma, Shexiang Fang, Ting Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

Considering the existence of large Doppler frequency shift, fast time-varying channels and multiple user interference and other serious problems in the satellite-based AIS system, a noncoherent detection method called phase adaptive algorithm is proposed. For AIS signals, utilizing the characteristic of the energy distribution under the Laurent decomposition of PAM waveform, matched filter is evaluated without whitening filter on the main component. This can effectively avoid the influence of the correlation length on the performance of detection. And the complexity of the system is significantly reduced. The cost function of decoding is given based on maximum likelihood criterion in the algorithm. Multiple symbols as the observation window are decoded at the same time. Meanwhile, phase adaptive compensation is employed in the decoding process. Simulation results show that this method has good detection performance. The BER is close to the ideal coherent detection when the size of observation window is 10 symbols, and is superior to the traditional differential decoding. At the same time, the algorithm has a higher robust and is also applicable to the conditions of multiple user co-channel interference. © 2014 IFSA Publishing, S. L.

关键词： Satellites

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Data streams classification method handling concept drifts

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Journal of Information and Computational Science 2014年第15期11卷 5427-5435页

作者： Wang, Xiaoye Hao, Yapei Zhang, Tao Chen, Bingjie Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China

This paper presented a classification algorithm which could find the concept drifts from the data streams, called Incremental Updated Discriminant Eigenspace (IUDE). The algorithm constructs the eigenspace model of the data streams based on the algorithm of LDA (linear discriminant analysis). It handles the Gradual Concept Drifts by incremental update the Discriminant eigenspace. And at the same times, it uses the Mean Square Error (MSE) to handle the Abrupt Concept Drifts. The 1-nearest neighbour (1-NN) method classifies the new data streams. The experiment result shows that it is better flexibility over concept drifts than traditional approaches. Copyright © 2014 Binary Information Press.

关键词： Mean square error

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Observer-based controller design for networked systems with multiple packet losses and mixed delay

Observer-based controller design for networked systems with ...

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第27届中国控制与决策会议

作者： Fengfeng Qian Huaicheng Yan Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education School of Information Science and Engineering East China University of Science and Technology Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University

The paper focuses on a stabilizing controller design problem for networked systems with quantization,mixed delays,and a series of packet losses due to the signal transmission through the unreliable communication *** of both sensor-to-controller and controller-to-actuator are taken into account for the networked systems,and the distributed time delay is also considered in the network *** conditions for designing the controller as well as the system parameters can be obtained by solving certain linear matrix ***,the effectiveness of the designed method is proved by a numerical example.

关键词： quantization,mixed delays,multiple packet losses

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SAR image compression and reconstruction based on Compressed Sensing

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Journal of Information and Computational Science 2014年第2期11卷 573-579页

作者： Guo, Lina Wen, Xianbin Key Laboratory of Computer Vision and System of Ministry of Education Tianjin University of Technology Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin 300191 China

The appearance of multiplicative speckle noise in Synthetic Aperture Radar (SAR) imagery makes it very difficult to visualization and compression. This paper proposes a novel framework of Compressed Sensing (CS) to compress the SAR image. It combined the Nonsubsampled Contourlet Transform (NSCT) shrinkage method to SAR image sparse represent. And a modified Smoothed LO norm (SLO) algorithm is used for SAR image accurate reconstruction. The experimental results show the proposed method is very effective and can get better reconstruction performances. Copyright © 2014 Binary Information Press.

关键词： Compressed sensing

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AAA Based on 802.1x Authentication

AAA Based on 802.1x Authentication

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2015 Joint International Mechanical,Electronic and Information technology Conference(JIMET 2015)

作者： Jiange Zhang Yuanbo Guo Yue Chen Jun Ma State Key Laboratory of Mathematical Engineering and Advanced Computing China National Digital Switching System Engineering and Technological Research CenterZhengzhou Information Science and Technology Institute

ISBN: (纸本)9781510817982

It has obvious advantage to adopt 802.1x authentication for network access control, which is an ideal and low-cost scheme and is usually used for those enterprises and campuses which run and manage simply or have simple business. This paper analyzed 802.1x protocol, EAP protocol and RADIUS protocol, configured switch, Free RADIUS Server and My SQL, constructed AAA management framework which is based on 802.1x authentication at the end, and showed the whole authentication flow. Using software the messages of the whole authentication process have been captured. The brief analysis of these messages provides technology strongly for particular research and further improvement, and has important value for research and application.

关键词： 802.1x authentication EAP protocol RADIUS protocol configure analysis of these messages

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Research of AAA messages Based on 802.1x Authentication

Research of AAA messages Based on 802.1x Authentication

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2015 IEEE Advanced Information technology,Electronic and Automation Control Conference(IAEAC 2015)

ISBN: (纸本)9781479919819

It has obvious advantage to adopt 802.1x authentication for network access *** paper analyzes802.1x protocol,EAP protocol and RADIUS protocol,and constructs AAA which is based on 802.1x authentication at the *** software the messages of the whole authentication process have been *** to AAA mechanism it analyzes EAP messages and RADIUS messages *** analysis of these messages provides technology strongly for particular research and further improvement,and it has important value for research and application.

关键词： 802.1x authentication EAP protocol RADIUS protocol AAA analysis of these messages

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Parallel Discrete Event Simulation of Stochastic Reaction and Diffusion Using Reverse Computation

Parallel Discrete Event Simulation of Stochastic Reaction an...

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IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

作者： Zhongwei Lin Yiping Yao State Key Laboratory of High Performance Computing National University of Defense Technology Changsha Hunan China College of Information System and Management National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781509018949

Parallel discrete event simulation consumes massive memory, involves frequent allocation and deallocation, and generates huge amount of data, which makes the memory usage an important issue for performance. In this paper, we present our reverse computation approach in our multi-threaded parallel discrete event simulator used for large scale stochastic reaction-diffusion simulation. We compute the reverse control code to record what operation an event did on the state of the host Logical Process during forward processing, and undo the operation according to the corresponding code during recovering that event. As the results on two versions of calcium wave model show, the reverse computation version achieved better performance than the state-saving version-it saved about 33% and 36% execution time for the two models respectively when two processing threads were used.

关键词： Computational modeling Stochastic processes Process control Message systems Mathematical model Discrete event simulation Chemicals

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An asynchronous GVT computing algorithm in neuron time warp-multi thread 15

An asynchronous GVT computing algorithm in neuron time warp-...

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Simulation Winter Conference

作者： Zhongwei Lin Yiping Yao State Key Laboratory of High Performance Computing National University of Defense Technology Changsha Hunan CHINA College of Information System and Management National University of Defense Technology Changsha Hunan CHINA

ISBN: (纸本)9781467397414

Multi-threaded Parallel Discrete Event Simulation (PDES) is promising to achieve high performance. Generally employing a collection of multi-core nodes is necessary to accomplish large scale PDES, which makes it running in a hybrid of distributed and shared memory platform. Present Global Virtual Time (GVT) computing algorithms are suitable for pure distributed or shared memory platform. In this paper we present an asynchronous GVT computing algorithm in Neuron Time Warp-Multi Thread (NTW-MT) simulator for stochastic simulation in NEURON project. GVT is computed asynchronously both within and among processes, which is the first try in multi-threaded PDES as far as we know. Then we prove this algorithm can compute a valid GVT at any wall clock time, and conclude it has less computational cost through analysing the cost and delay. Finally we show results of simulating a calcium wave model in an unbranched apical dendrite of a hippocampal pyramidal neuron.

关键词： Message systems Neurons Predator prey systems Computational modeling Clocks Algorithm design and analysis Mathematical model

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