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Efficient strategy for out-of-order event stream processing

Journal of Applied Science and Engineering 2014年第1期17卷 73-80页

作者： Xiao, Yingyuan Jiang, Tao Shen, Yan Deng, Huafeng Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin-300384 China College of Information Technology South China Normal University Guangzhou-510631 China

Complex event processing has been widely used in many modern applications. Akey aspect of complex event processing is to extract patterns from event streams to make informed decisions in real-time. However, network latencies and machine failures may cause events to arrive out-of-order at the event processing engine. To address the problem, a number of disordered event processing techniques are proposed. In this paper, we introduce latency distance and purging time to process out-of-order event streams in real-time. Further, we present a redo strategy based on playback, with which those false pattern matches produced at the early phase can be corrected by the aid of the cloud *** conduct extensive experiments, and the experimental results demonstrate the effectiveness of our methods.

关键词： Purging

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Distributed collaborative vehicle tracking in embedded smart camera networks 12

Distributed collaborative vehicle tracking in embedded smart...

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12th IEEE International Conference on Dependable, Autonomic and Secure computing, DASC 2014

作者： Zhang, Yaying Lu, Xiuqing Ye, Chen Key Laboratory on Embedded System and Service Computing College of Electronics and Information Engineering Tongji University Shanghai China

ISBN: (纸本)9781479950799

A vehicle tracking mode based on dynamic roles is proposed in the smart camera networks. The tracking for a specific vehicle is organized collaboratively and automatically in smart camera network. The tracking is completed autonomously by smart cameras in a distributed manner. The decentralized control mode can effectively decrease the working pressure of server system, reduce the requirements of network bandwidth for real-time video transmission, and make the system flexible and fault-tolerant. An information transmission mechanism is also presented in the smart camera network to ensure the collaborative tracking. Finally, a demo system for vehicle tracking in intelligent traffic surveillance system is implemented to verify the proposed methods. © 2014 IEEE.

关键词： Image communication systems

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MR-COF:A Genetic MapReduce Configuration Optimization Framework

MR-COF:A Genetic MapReduce Configuration Optimization Framew...

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The 7th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

作者： Chao Liu Deze Zeng Hong Yao Chengyu Hu Xuesong Yan Yuanyuan Fan China Services Computing Technology and System Lab and Cluster and GridComputing Lab Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhan 430074China

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing *** has many configuration parameters,some of which are crucial to the performance of MapReduce *** practice,these parameters... 详细信息

ISBN: (纸本)9783319271392

关键词： Mapreduce Massive data processing Parameter configuration Performance optimization Search algorithm

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Multi-symplectic method for the coupled Schr(o)dinger-KdV equations

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中国物理B（英文版） 2014年第8期23卷 226-232页

作者： Zhang Hong Song Song-He Zhou Wei-En Chen Xu-Dong Department of Mathematics and System Science College of Science National University of Defense Technology Changsha 410073 China Department of Mathematics and System Science College of Science National University of Defense Technology Changsha 410073 China State Key Laboratory of High Performance Computing National University of Defense Technology Changsha 410073 China

In this paper, we present a multi-symplectic Hamiltonian formulation of the coupled Schrödinger-KdV equations (CSKE) with periodic boundary conditions. Then we develop a novel multi-symplectic Fourier pseudospectral (MSFP) scheme for the CSKE. In numerical experiments, we compare the MSFP method with the Crank—Nicholson (CN) method. Our results show high accuracy, effectiveness, and good ability of conserving the invariants of the MSFP method.

关键词： coupled Schr(o)dinger-KdV equations multi-symplectic Fourier pseudospectral method

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Average vector field methods for the coupled Schr(o)dinger-KdV equations

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中国物理B（英文版） 2014年第7期23卷 242-250页

作者： Zhang Hong Song Song-He Chen Xu-Dong Zhou Wei-En Department of Mathematics and System Science College of Science National University of Defense Technology Changsha 410073 China Department of Mathematics and System Science College of Science National University of Defense Technology Changsha 410073 China State Key Laboratory of High Performance Computing National University of Defense Technology Changsha 410073 China

The energy preserving average vector field (AVF) method is applied to the coupled Schrödinger—KdV equations. Two energy preserving schemes are constructed by using Fourier pseudospectral method in space direction discretization. In order to accelerate our simulation, the split-step technique is used. The numerical experiments show that the non-splitting scheme and splitting scheme are both effective, and have excellent long time numerical behavior. The comparisons show that the splitting scheme is faster than the non-splitting scheme, but it is not as good as the non-splitting scheme in preserving the invariants.

关键词： coupled Schr(o)dinger-KdV equations average vector field method splitting method Fourier pseudospectral method

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Antenna calibration method for MMSE-based network MIMO system

Antenna calibration method for MMSE-based network MIMO syste...

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IEEE International Conference on Communications in China Workshops (ICCC)

作者： Qiang Liu Xin Su Jie Zeng Lili Liu Tiejun Lv Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China Beijing University of Posts and Telecommunications Beijing Beijing CN

ISBN: (纸本)9781467397025

In this paper, we propose a new channel reciprocity calibration method based on minimum mean square error (MMSE) in network multiple-input and multiple-output (MIMO) system. Network MIMO system can mitigate the inter-cell interference by joint precoding techniques. The system is assumed to operate in time division duplex (TDD). However, the generalized channeles do not only consist of free-space electromagnetic channel, but also include transceiver modules, the mismatches between the transceiver modules of the antennas destroy the channel reciprocity. Therefore the mismatches should be calibrated before channel reciprocity can be utilized. An effective method for calculating the calibration coefficients in the network MIMO system whose BSs are equipped with multiple antennas is proposed. The network MIMO system is divided into M independent centralized MIMO systems and one distributed MIMO system, then the calibration coefficients of the two systems can be combined to calculate the calibration coefficients of the network MIMO system. The validity of the method is proved by the simulation results.

关键词： Antennas Calibration MIMO Manganese Transceivers Channel estimation Downlink

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A survey on distributed compressed sensing： theory and applications

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Frontiers of Computer Science 2014年第6期8卷 893-904页

作者： Hongpeng YIN Jinxing LI Yi CHAI Simon X. YANG College of Automation Chongqing University Chongqing 400030 China Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing 400030 China State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing 400030 China School of Engineering University of Guelph Guelph N1G 2W1 Canada

The compressed sensing （CS） theory makes sample rate relate to signal structure and content. CS samples and compresses the signal with far below Nyquist sampling frequency simultaneously. However, CS only considers the intra-signal correlations, without taking the correlations of the multi-signals into account. Distributed compressed sensing （DCS） is an extension of CS that takes advantage of both the inter- and intra-signal correlations, which is wildly used as a powerful method for the multi-signals sensing and compression in many fields. In this paper, the characteristics and related works of DCS are reviewed. The framework of DCS is introduced. As DCS＇s main portions, sparse representation, measurement matrix selection, and joint reconstruction are classified and summarized. The applications of DCS are also categorized and discussed. Finally, the conclusion remarks and the further research works are provided.

关键词： compressed sensing distributed compressed sensing sparse representation measurement matrix joint reconstruction joint sparsity model

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Convolution-based means of gradient for fast eye center localization

Convolution-based means of gradient for fast eye center loca...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hai-Bin Cai Hui Yu Chun-Yan Yao Shen-Yong Chen Hong-Hai Liu School of Computing University of of Portsmouth UK College of Computer Science Zhejiang University of Technology China College of Mechanical Engineering Zhejiang University of Technology China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University China

ISBN: (纸本)9781467372220

Localizing eye center is primary challenge for application-s involving gaze estimation, face recognition and human machine interaction. The challenge is caused by significant variability of eye appearance in illumination, shape, color, viewing angle and dynamics, and computation related issues. In this paper, we propose a convolution-based means of gradient method to efficiently and accurately locate the eye center in low resolution images. Priority of enhancing its computation is achieved by the use of FFT transform and fewer identified pixels of circular boundary of potential eye centres. The proposed algorithm is validated in the research database platform of BioID face database. The experimental results confirm that the proposed outperforms the-state-of-art methods and its potential in real-time eye gaze tracking related applications.

关键词： Convolution Eye center location Gradients Iris center location Convolution Eye Gradient mean gradient Human machine interaction

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Research of a Novel Flash P2P Network Traffic Prediction Algorithm

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Procedia Computer Science 2015年 55卷 1293-1301页

作者： Ji Yimu Yuan Yongge Zhao Chuanxin Jiang Chenchen Wang RuChuan School of Computer Science Nanjing University of Posts and Telecommunications Nanjing 210023 China Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing 210023 China Guangdong Key Laboratory of Popular High Performance Computers Shenzhen Key Laboratory of Service Computing and Applications Shenzhen 518060 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Network Nanjing University of Posts and Telecommunications Nanjing 210023 China School of Mathematics and Computer Sciences Anhui Normal University Wuhu 241000 China

To improve the quality of service and network performance of the FlashP2P video-on-demand, the prediction FlashP2P network traffic flow is very useful to t control the network video traffic. In this paper, a novel prediction algorithm to forecast the traffic rate of the Flash P2P video is proposed. This method is based on the combination of the local mean decomposition (LMD) and the generalized autoregressive conditional heteroscedasticity (GARCH). LMD is used to decompose the original long-related flow into the summation of the short-related flow. Then, GRACH is utilized to predict the short-related flow. The developed algorithm is tested on a university's campus network. The predicted results show that our proposed method can achieve higher accuracy than those obtained by existing algorithms, such as EMD-ARMA(Empirical Mode Decomposition and Auto-Regressive and Moving Average Model) and WNN(Wavelet Neural Network), while keeping lower computational complexity.

关键词： Self-similarity LMD GARCH Traffic prediction

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Explicit Multi-Symplectic Splitting Methods for the Nonlinear Dirac Equation

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Advances in Applied Mathematics and Mechanics 2014年第4期6卷 494-514页

作者： Yaming Chen Songhe Song Huajun Zhu Department of Mathematics and System Science and State Key Laboratory of High Performance Computing National University of Defense TechnologyChangsha 410073China State Key Laboratory of Aerodynamics China Aerodynamics Research and Development CenterMianyang 621000China

In this paper,we propose two new explicit multi-symplectic splitting methods for the nonlinear Dirac(NLD)*** on its multi-symplectic formulation,the NLD equation is split into one linear multi-symplectic system and one nonlinear infinite Hamiltonian *** multi-symplectic Fourier pseudospectral method and multi-symplectic Preissmann scheme are employed to discretize the linear subproblem,*** the nonlinear subsystem is solved by a symplectic ***,a composition method is applied to obtain the final schemes for the NLD *** find that the two proposed schemes preserve the total symplecticity and can be solved *** experiments are presented to show the effectiveness of the proposed methods.

关键词： Nonlinear Dirac equation multi-symplectic method splitting method explicit method

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