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2012全国高性能计算学术年会

作者： Liu Xing-Kui 刘兴奎 Shao Zong-You 邵宗有 Liu Xin-Chun 刘新春 Sun Ning-Hui 孙凝晖 High Performance Computer Research Center Institute of Computing TechnologyChinese Academy of Scien 中国科学院计算技术研究所高性能计算机研究中心北京 100190 中国科学院研究生院北京 100190 School of Information Engineering University of Science and Technology BeijingBeijing 100083China 北京科技大学信息工程学院北京 100083 Wuxi City cloud computing centers Co. Ltd.Wuxi 214315China 无锡城市云计算中心有限公司无锡 214315 High Performance Computer Research Center Institute of Computing TechnologyChinese Academy of Scien 中国科学院计算技术研究所高性能计算机研究中心北京 100190

随着网络带宽的快速增长,互联网正面临着日益严重的安全威胁.网络入侵检测系统(NIDS)利用模式匹配等技术对网络报文进行分析和检测,是防范网络威胁、保护网络安全的一种有效手段.但模式匹配消耗巨大的计算量,现有的技术难以满足10Gbps... 详细信息

随着网络带宽的快速增长,互联网正面临着日益严重的安全威胁.网络入侵检测系统(NIDS)利用模式匹配等技术对网络报文进行分析和检测,是防范网络威胁、保护网络安全的一种有效手段.但模式匹配消耗巨大的计算量,现有的技术难以满足10Gbps以上骨干网络NIDS的需求.本文提出了基于Bloom filter的细粒度并行模式匹配技术PBPM(Parallel-Bloom-filter-based multi-Pattern Matching),PBPM利用多个相同的Bloom filter分别从输入文本的不同位置处并行匹配,每个周期可完成多个字符的匹配,显著提高了匹配速率.详细讨论了在FPGA上的实现方式,在Snort2.9规则集上的测试结果表明,PBPM能够提供超过20Gbps的模式匹配需求.

关键词：网络安全网络入侵检测系统并行模式匹配技术

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KLT Feature Based Vehicle Detection and Tracking in Airborne Videos

KLT Feature Based Vehicle Detection and Tracking in Airborne...

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International Conference on Image and Graphics (ICIG)

作者： Xianbin Cao Jinhe Lan Pingkun Yan Xuelong Li Anhui Province Key Laboratory of Software in Computing and Communication School of Computer Science and Technology University of Science and Technology Hefei Anhui China Center of OPTical IMagery Analysis and Learning (OPTIMAL) State Key Laboratory of Transient Optics and Photonics Xi'an Institute of Optics and Precision Mechanics Chinese Academy and Sciences Xi'an Shaanxi China

Airborne vehicle detection and tracking systems equipped on unmanned aerial vehicles (UAVs) are difficult to develop because of factors like UAV motion, scene complexity and so on. In this paper, we propose a new framework of multi-motion layer analysis to detect and track moving vehicles in airborne platform. Moving vehicles are firstly detected by registration and temporal differencing to establish motion layers. After motion layers are constructed, they are maintained over time for tracking vehicles. All vehicles are tracked by maintaining their corresponding motion layers. Our experimental results showed that compared with other previous algorithms, our method can achieve better results in terms of detection and tracking performance.

关键词： Vehicles Tracking Videos Feature extraction Vehicle detection Maintenance engineering Motion segmentation

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Accelerating Vehicle Detection in Low-Altitude Airborne Urban Video

Accelerating Vehicle Detection in Low-Altitude Airborne Urba...

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International Conference on Image and Graphics (ICIG)

作者： Xianbin Cao Renjun Lin Pingkun Yan Xuelong Li Anhui Province Key Laboratory of Software in Computing and Communication School of Computer Science and Technology University of Science and Technology Hefei Anhui China Center of OPTical IMagery Analysis and Learning (OPTIMAL) State Key Laboratory of Transient Optics and Photonics Xi'an Institute of Optics and Precision Mechanics Chinese Academy and Sciences Xi'an Shaanxi China

The limitation of the existing methods of traffic data collection is that they rely on techniques that are strictly local in nature. The airborne system in unmanned aircrafts provides the advantages of wider view angle and higher mobility. However, detecting vehicles in airborne videos is a challenging task because of the scene complexity and platform movement. Most of the techniques used in stationary platforms cannot perform well in this situation. A new and efficient method based on Bayes model is proposed in this paper. This method can be divided into two stages, attention focus extraction and vehicle classification. Experimental results demonstrated that, compared with other representative algorithms, our method obtained better performance with higher detection rate, lower false positive rate and faster detection speed.

关键词： Vehicles Feature extraction Vehicle detection Road transportation Cameras Atmospheric modeling Classification algorithms

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BioVLAB-MMIA: A Reconfigurable Cloud computing Environment for microRNA and mRNA Integrated Analysis

BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment f...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Hyungro Lee Youngik Yang Heejoon Chae Seungyoon Nam Donghoon Choi Patanachai Tangchaisin Chathura Herath Suresh Marru Kenneth P. Nephew Sun Kim School of Informatics and Computing Indiana University Bloomington IN USA J Craig Venter Institute San Diego CA USA National Cancer Center Goyang South Korea Supercomputing Center Korea Institute of Science and Technology Information South Korea Medical Sciences Program Indiana University School of Medicine Indiana University Bloomington IN USA School of Computer Science and Engineering Seoul National University Seoul South Korea

MicroRNAs, by regulating the expression of hundreds of target genes, play critical roles in developmental biology and the etiology of numerous diseases, including cancer. As vast amounts of microRNA expression profile data are now publicly available, the integration of those data sets with gene expression profiles represents an extremely active area of life science research. However, the ability to conduct genome wide microRNA-mRNA (gene) integration currently requires sophisticated, high-end informatics tools, significant expertise in bioinformatics and computer science to carry out the complex integration analysis. In addition, increased computing infrastructure capabilities are essential in order to accommodate large data sets. In this study, we have extending BioVLAB cloud workbench to develop an environment for the integrated analysis of microRNA and mRNA expression data, named BioVLAB-MMIA. The workbench facilitates computations on the Amazon EC2 and S3 resources orchestrated by XBaya Workflow Suite. The advantages of BioVLAB-MMIA over the web-based MMIA system include: 1) readily expanded as new computational tools become available; 2) easily modifiable by re-configuring graphic icons in the workflow; 3) on-demand cloud computing resources can be used on an as needed basis; 4) distributed orchestration supports complex and long running workflows asynchronously.

关键词： Bioinformatics Cloud computing Cancer Genomics Educational institutions Diseases computer architecture

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Quantum secret sharing between multiparty and multiparty with Bell states and Bell measurements

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science China(Physics,Mechanics & Astronomy) 2010年第12期53卷 2238-2244页

作者： SHI RunHua HUANG LiuSheng YANG Wei ZHONG Hong National High Performance Computing Center at Hefei Department of Computer Science and TechnologyUniversity of Science and Technology of ChinaHefei230027China School of Computer Science and Technology Anhui UniversityHefei 230039China Suzhou Institute for Advanced Study USTCSuzhou 215123China

We present a quantum secret sharing scheme between multiparty (m members in Group 1) and multiparty (n members in Group 2), and analyze its security. This scheme takes EPR pairs in Bell states as quantum resources. In order to obtain the shared key, all members only need to perform Bell measurements, rather than perform any local unitary operation. The total efficiency in this scheme approaches 100% as the classical information exchanged is not necessary except for the eavesdropping checks.

关键词： quantum information quantum cryptography quantum secret sharing

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A semi-supervised text clustering algorithm based on pairwise constraints

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Journal of Information and Computational science 2011年第6期8卷 951-960页

作者： Zhong, Jiang Dong, Gaofeng Zhou, Ying Li, Xue Liu, Longhai Chen, Qiang College of Computer Science Chongqing University Chongqing 400044 China Chongqing Management Center of Housing Provident Fund Chongqing 400015 China School of Information Technology and Electrical Engineering Queensland University Queensland QLD 4072 Australia Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education Chongqing 400044 China

In this paper, an active learning method which can effectively select pairwise constraints during clustering procedure was presented. A novel semi-supervised text clustering algorithm was proposed, which employed an effective pairwise constraints selection method. As the samples on the fuzzy boundary are far away from the cluster center in the clustering procedure, they can be easily divided into the wrong clusters. Therefore, we choose the pairwise constraint points from the fuzzy boundary to guide the clustering process towards appropriate partition. The experimental results show that the proposed algorithm can effectively improve the text clustering results by using the same amount of pairwise constraints. © 2011 Binary Information Press.

关键词： Supervised learning

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CDRAS: An Approach to Dealing with Man-in-the-Middle Attacks in the Context of Voice over IP

CDRAS: An Approach to Dealing with Man-in-the-Middle Attacks...

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International Conference on Availability, Reliability and Security, ARES

作者： Stefan Hofbauer Gerald Quirchmayr Christopher C. Wills Danube Data Center GmbH Vienna Austria Division of Information Technology School of Computer and Information Science University of South Australia Adelaide SA Australia Multimedia Information Systems Research Group University of Vienna Vienna Austria Faculty of Computing Information Systems and Mathematics Kingston University London Surrey UK

This paper describes the CDRAS (Call Detail Records Analysis System) system, the motivation behind it, its approach and its background. The system aims at dealing with the notorious Man-in-the-Middle attack in the context of VoIP. As the use of such a system constitutes leads to an interference with the privacy of users, the most relevant legal aspects related to this work are also briefly discussed.

关键词： Protocols Authentication Software Law Internet telephony Multimedia communication

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Locally linear embedding for the construction of the purkinje system

Locally linear embedding for the construction of the purkinj...

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2010 International Conference on Biomedical Engineering and computer science, ICBECS 2010

作者： Li, Jie Wang, Kuanquan Zuo, Wangmeng Yuan, Yongfeng Bio-computing Research Center School of Computer Science and Technoloy Harbin Institute of Technology Harbin China

ISBN: (纸本)9781424453153

Locally linear embedding (LLE), recently proposed unsupervised procedure for mapping high-dimensional data nonlinearly to a lower-dimensional space, is shown to yield remarkable good results in exploratory analysis and visualization. LLE is able to learn the global structure of nonlinear manifolds, and it maps its inputs into a single global coordinate system of lower dimensionality, which takes good advantage of remaining points close to each other in the computed low-dimensional space when they are close to each other in the high-dimensional space. However, the application to the closed geometry is consequently limited. The purkinje system is a very important conduction system in the endocardial surface of the ventricle that is a semi-closed organ. Traditional construction of the purkinje system is mostly relevant to the fractal tree or something similar, which is based of supposed theory and is an approximation to the actuality. In this paper, a novel method for the construction of the purkinje system in the canine left ventricle by applying LLE algorithm is proposed. The results show that the construction of the purkinje system approaches the one in real structure of the left ventricle better than ever reconstructed. ©2010 IEEE.

关键词： Clustering algorithms

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Concept extraction based on association linked network

Concept extraction based on association linked network

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6th International Conference on Semantics, Knowledge and Grid, SKG 2010

作者： Wei, Xiao Luo, Xiangfeng School of Computing Engineering and Science High Performance Computing Center Shanghai University Shanghai 200072 China School of Computer Science and Information Engineering Shanghai Institute of Technology Shanghai 200235 China

ISBN: (纸本)9780769541891

Text keywords at different semantic levels have different semantic representation abilities. Although words have been organized by semantic dictionaries (e.g. WordNet) with exact semantics, the dictionaries can not be constructed automatically by machine and there are still many words which are not included in the dictionaries. This paper proposes a novel method to automatically extract keywords of higher semantic level which named concept. According to the Association Linked Network (ALN) of webpages, the ALN of keywords (kALN) is constructed first which holds the keywords of a domain and the relations among these keywords. By analyzing graph characteristics of kALN, keywords are grouped into communities. Then drawing on Entropy and Mutual Information, concepts are extracted from each kALN community. Experimental results show that the proposed method of concept extraction is acceptable in accuracy and complexity. © 2010 IEEE.

关键词： Semantics

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An approach for evaluating availability and performability of data processing center in the internet of things environment

An approach for evaluating availability and performability o...

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1st International Conference on Pervasive computing, Signal Processing and Applications, PCSPA 2010

作者： Yi, Feng Zhan, Zhang Hao, Liu Zuo, De-Cheng Yang, Xiao-Zong Dependable and Mobile Computing Center School of Computer Science and Technology Harbin Institute of Technology 92 West Dazhi St. Harbin China

ISBN: (纸本)9780769541808

With the developing of pervasive computing technology especially the appearance of the internet of things, there will generate more tremendous real-time or OLTP information that requires the data center with high availability and performability. This paper proposes a hierarchical approach to model and evaluate the availability and performability of the transaction processing data center using throughout under fault-injection as reward rate. An example is given out to illustrate the use of the approach. © 2010 IEEE.

关键词： Ubiquitous computing

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