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International Conference on Electronics, Communications and Control (ICECC)

作者： Yingquan Zou Liu Xiaolin Hongqun Zhang Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science and Technology Nanjing China Nanjing University of Information Science and Technology Nanjing Jiangsu CN

On the basis of studying an atmospheric black carbon aerosol concentration detection system, a black carbon aerosol concentration detection method based on optical attenuation method is proposed. First, this method and its inversion are analyzed theoretically. Then, hardware design of optical detection circuit and software design of aerosol concentration inversion algorithm are described in detail. Finally, the detection results are displayed and analyzed by management software on the computer. The experimental results indicate that this proposed detection system can arrive at the anticipated goal.

关键词： Aerosols Carbon Optical filters Atmospheric measurements Particle measurements Attenuation Optical variables measurement

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Adaptive detection of moving vehicle based on on-line clustering

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Journal of computers 2011年第10期6卷 2045-2052页

作者： Wu, Jian Xia, Jie Chen, Jian-Ming Cui, Zhi-Ming The Institute of Intelligent Information Processing and Application Soochow University Suzhou 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

Detection of moving vehicles plays a very important role in Intelligent Transport. Aiming at the deficiency of moving vehicle detection, we proposed the adaptive detection method of moving vehicles based on the online clustering. First extracts background adaptively using a new online clustering algorithm which does not need to set any parameters when extract the background image. Then adaptively select the background updating rate according to the road disturbance of background and illumination changes after background building is completed. Finally, realize correct and complete moving object segmentation through foreground detection using background difference. Experimental results show that the proposed method is able to detect moving target accurately in the transport video, it not only has good self-adaptability and real-time but also insensitive to the light changes and background interference. © 2011 ACADEMY PUBLISHER.

关键词： Clustering algorithms

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The light scattering properties study of black carbon aerosols

The light scattering properties study of black carbon aeroso...

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International Conference on Electronics, Communications and Control (ICECC)

作者： Yingquan Zou Shanrong Cheng Hongqun Zhang Nanjing University of Information Science and Technology Nanjing Jiangsu CN Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science and Technology Nanjing China

The paper studies the light scattering properties of black carbon aerosols by using photoelectric detection method. Black carbon particles scatter light under the role of laser, which are detected by photodetector. The paper uses the leading edge of scattering light to fit the full Gaussian function of particle's scattering light. Then by the constructed Gaussian function we can analysis the size of Black carbon particles.

关键词： Scattering Laser beams Carbon dioxide Aerosols Detectors Carbon Particle beams

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Moving object classification method based on SOM and K-means

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Journal of computers 2011年第8期6卷 1654-1661页

作者： Wu, Jian Xia, Jie Chen, Jian-ming Cui, Zhi-ming The Institute of Intelligent Information Processing and Application Soochow University Suzhou 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

We do research on moving object classification in traffic video. Our aim is to classify the moving objects into pedestrians, bicycles and vehicles. Due to the advantage of self-organizing feature map (SOM), an unsupervised learning algorithm, which is simple and self organization, and the common usage of K-means clustering method, this paper combines SOM with K-means to do classification of moving objects in traffic video, constructs a system including four parts, and proposes a method based on bidirectional comparison of centroid to do tracking, and an improved method to obtain initial background when using background subtraction method to detect motion of moving objects. Experimental results show the effectiveness and robustness of the proposed approach. © 2011 ACADEMY PUBLISHER.

关键词： Self organizing maps

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Combination Method of Rules and Statistics for Abbreviation and Its Full Name Recognition

Combination Method of Rules and Statistics for Abbreviation ...

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2011 International Conference on Informatics,Cybernetics,and computer Engineering(ICCE 2011)

作者： Yang Hua Hong Yu Hua Zhenwei Yao Jianmin Zhao Mingming Feng Yanhui Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou Municipal Science and Technology Bureau

This paper proposes a Combination of rules and statistics algorithm. Firstly, this research uses the rule-based approach to identify the abbreviation. Secondly, the full name candidates of the abbreviation are recognized based on n-gram feature. Thirdly, we use the rule and statistic based algorithm to identify the best candidate for the abbreviation. The method of abbreviation recognition has achieved a high accuracy rate, and it is independent, portable and efficient. The method of the full name recognition is superior to the approach introduced in related work on the basis of analyzing and comparing experiment results.

关键词： Biomedical information extraction Abbreviation recognition Abbreviation full name recognition Text mining Combining method of rules and statistics

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An intelligent load balancing algorithm towards efficient cloud computing

An intelligent load balancing algorithm towards efficient cl...

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2011 AAAI Workshop

作者： Xu, Yang Wu, Lei Guo, Liying Chen, Zheng Yang, Lai Shi, Zhongzhi Agent-based Cooperative System Lab School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu SC 611731 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781577355243

MapReduce provided a novel computing model for complex job decomposition and sub-tasks management to support cloud computing with large distributed data sets. However, its performance is significantly influenced by the working data distributions over those data sets. In this paper, we put forward a novel model to balance data distribution to improve cloud computing performance in data-intensive applications, such as distributed data mining. By extending the classic MapReduce model with an agent-aid layer and abstracting working load requests for data blocks as tokens, the agents can reason from previously received tokens about where to send other tokens in order to balance the working tasks and improve system performance. Our key contribution lies in building an efficient token routing algorithm in spite of agents' unknowing to the global state of data distribution in cloud. We also built a prototype of our system, and the experimental results show that our approach can significantly improve the efficiency of cloud computing. Copyright © 2011, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： MapReduce

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Multi-kernel Co-SVM with a new strategy using unlabeled data for image retrieval

Multi-kernel Co-SVM with a new strategy using unlabeled data...

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2011 6th International Conference on Pervasive Computing and Applications, ICPCA 2011

作者： Zongmin, Li Yang, Liu Hua, Li School of Computer and Communication Engineering China University 0f Petroleum Shandong 257061 China Key Laboratory Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing l0080 China

ISBN: (纸本)9781457702082

Relevance feedback based on SVM classifier shows a good performance recently but the finite feedback counts limited by user's patience and the small sample size problem are not solved well, Co-SVM does a good job in solving these problems but still has some flaws. We propose three strategies to try to improve this algorithm: (1) different kernel functions are used to characterize the color and texture visual similarities;(2) a new method is proposed to caculate the confident scores of the contention samples;(3) a bunch of the most irrelevant images with the highest confident score are added into the labeled images to extend the size of labeled data while choosing a bunch of images for user labeling. Experimental results verify the superiority of our method over Co-SVM. © 2011 IEEE.

关键词： Image enhancement

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A causality based dynamic message ordering for DVEs on Wide Area Network

A causality based dynamic message ordering for DVEs on Wide ...

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IEEE International Conference on Communication Software and Networks

作者： Zhou, Hangjun Fu, Sha Department of Information Management Hunan University of Finance and Economics Chang Sha Hu Nan China Key Laboratory of Science and Technology for National Defence of Parallel and Distributed Processing School of Computer Science National University of Defense Technology Chang Sha Hu Nan China

ISBN: (纸本)9781612844855

Due to the large message transmission latency in Distributed Virtual Environments(DVEs) on Wide Area Net-work(WAN), the effectiveness of causality consistency control of message ordering is determined by not only causal order of messages but also the real-timeness. If merely causal order is considered, the real-time property of DVEs may not be ensured because of the unlimited waiting time for the delayed messages. While if only real-timeness is emphasized, there may be too many delayed messages, which have to be discarded, to maintain the quality of causal message ordering. Therefore, a trade-off between the quality of causal order delivery and real-timeness is necessary for DVEs. In this article, a novel causality based message ordering approach is presented. In general, this new approach dynamically balances the demands of causal order delivery and real-timeness. Experiment results demonstrate the approach can enhance the quality of causality, while simultaneously keep the real-time property of DVEs. © 2011 IEEE.

关键词： Wide area networks

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An effective control scheme to ensure real-time causal order in large-scale distributed interactive simulations

An effective control scheme to ensure real-time causal order...

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2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011

ISBN: (纸本)9781612844855

When a large-scale distributed interactive simulation system is running on WAN, the sites usually disperse over a wide area in geography, which results in the simulation clock of each site is hardly to be accurately synchronized with that of other sites. The asynchronous clocks and large transmission latency on WAN bring on a problem for the large-scale simulations to preserve the real-time causal order delivery of received events at each site. In this article, we analyze the indirect way to compare the values of asynchronous simulation clocks at first, and then propose a novel scheme which can select the reconstructible causal control information for each message so as to ensure the causal ordering of events in real time. Experiments demonstrate that the scheme can weaken the effect of network latency, reduce the overhead of the transmission amount of control information and improve the causal order consistency in asynchronous distributed simulations. © 2011 IEEE.

关键词： Real time control

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A multi-layered emulation platform to verify the effectiveness of consistency control approaches about message ordering

A multi-layered emulation platform to verify the effectivene...

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IEEE International Conference on Communication Software and Networks

ISBN: (纸本)9781612844855

It is an important issue to preserve the consistent delivering order of messages at each site in Distributed Virtual Environments(DVEs). Currently, the violations of message delivery order are inclined to happen in the large-scale and frequently interactive DVEs running on Wide Area Network(WAN). The inconsistent anomalies are characterized as unpredictable, unrepeatable and uncontrollable, which results in the severe problem for the development of the consistency control approaches. Meanwhile, it is also highly expensive to directly verify the proposed approaches on WAN. Therefore, in this paper, we design and establish an original multi-layered emulation platform in LAN, which can emulate the network latency of WAN and repeat the scenarios of violations. On the platform, the designers of consistency approaches don't have to spend efforts to realize the fundamental functions of the verification, but could pay more attention to the development and optimization of the control algorithms, which is very beneficial for the improvement of message ordering approaches. © 2011 IEEE.

关键词： Wide area networks

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