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IEEE Symposium on Electrical & Electronics Engineering (EEESYM)

作者： Xuehua Liao Zhousen Zhu Yusong Yan Tao Lv 1. Visual Computing and Virtual Reality Key Laboratory of Sichuan Province 2. Institute of Computer Science of Sichuan Normal University Chengdu Sichuan China Institute of Physics and Electronic Engineer of Sichuan Normal University Chengdu Sichuan China Institute of Computer Science of Sichuan Normal University Chengdu Sichuan China

ISBN: (纸本)9781467323635

Accident reconstruction is not only an important way for responsibility identification or cause analysis in traffic accident but also an important step in study on traffic safety improvement. In this work, a type of physical analysis and an assumption model for traffic accident reconstruction, together with their respective realization methods, were introduced and described; simulation technology in two-vehicle collision accident was investigated; 2-Dimension impact calculation of velocity variations before and after collision was specifically given; computer simulation system was established to analyze and reconstruct impact velocities and vehicle behaviors according to data measured in accident scene; software application in practice was also briefly discussed.

关键词： Educational institutions

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International Conference on Computer Communications and Networks (ICCCN)

作者： Yuehua Wang Zhong Zhou Ling Liu Liang Cheng Wei Wu State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University China Georgia Institute of Technology College of Computing Georgia Institute of Technology USA Department of Computer Science and Engineering Lehigh University USA

Group communication is essential for multi-user applications. However, due to unpredictable node departures and non-deterministic network partitions, providing reliable and scalable group communication services is challenging when the applications are utilized by the users with heterogeneous capacities on a large scale. To address this challenge, we propose a novel replication scheme to achieve high reliability and low-cost scalability in group communication with following three features. First, it introduces a new concept of replication based on topological similarity, which empowers each node with an ability of measuring similarity between the nodes in topology. By eliminating the topological similarity between the replicas, it intelligently mitigates service interruptions caused by node failures and network partitions. Second, instead of specifying the number of replicas, it provides a technique for nodes to dynamically adapt the replication placement schemes by exploiting functionality importance of the nodes in the group- communication session. It eliminates the bottleneck problem and improves the network resource utilization. Third, the scheme is self-converging and it can stabilize within a few adaptations even facing a high churn rate. Extensive simulations show that it yields significant improvements in reduction of replication overhead and service interruption when comparing to existing approaches.

关键词： Random access memory Topology Maintenance engineering Reliability theory Computer network reliability

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Crowd flow-based information for crowd simulation

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第23期6卷 145-152页

作者： Wu, He Qi, Li Rao, Yunbo Visual Computing and Virtual Reality Key Laboratory of Sichuan Province Sichuan Normal University Chengdu Sichuan 610068 China Digital Media Department Sichuan Normal University Chengdu Sichuan 610068 China School of Information Science and Technology Southwest Jiaotong University Chengdu Sichuan 610031 China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu Sichuan 6100541 China

In this paper, we propose a novel algorithm for crowd simulation in real-time virtual environments. The proposed algorithm uses a navigation mesh for global planning in a polygonal multilayered threedimensional (3D) environment and crowd flow-based information to help individuals collision-free. At the same time, the proposed algorithm also focuses on addressing two problems: 1) in order to improve precision of collision-free, we propose based on hierarchy priority for collision-free of the individuals. 2) To avoid "shaking" behaviors of the individuals in the original place, we propose the stopping rule for solving it. Experimental results show that the proposed algorithm could be used for crowd simulation in complicated virtual environments.

关键词： virtual reality

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The feature of resonance of gene expression and identification of the genes associated with Alzheimer's disease

The feature of resonance of gene expression and identificati...

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IEEE International Conference on Granular computing (GRC)

作者： Rong Chen Ben-Qiong Hu Dan-Xia Zhang Qin Zhang Chao-Yang Pang College of Computer Science and Technology Sichuan University Chengdu China College of Information Management Chengdu University of Technology Chengdu China Group of Gene Computation College of Mathematics and Software Science Sichuan Normal University China Group of Gene Computation Key Laboratory Visual Computation and Virtual Reality Sichuan Sichuan China

Alzheimer's disease (AD) is the most common type of dementia and the amount of risk of AD that is attributable to genetics is estimated to be around 70%. Since 2000, cDNA microarray technology is used to identify AD-related gene (ADG), and the commonly used criterion of identification is the up-regulation or down-regulation of genes. In this paper, the following feature named resonance of gene expression is observed from gene expression profile of AD: Some genes change their expression levels synchronously with a given ADG at uncontrolled stage while their expressions are independent to the ADG at control stage. This feature likes the resonance of wave or the synchronization of a group of dancers. The genes holding this feature are related to AD potentially and are identified as the candidate ADGs. The shown characteristic at Fig. 1 is suggested with the result 0 f famous Prof Goate's group on Feb. 2012.

关键词： GSM Alzheimer's disease Abstracts Vectors Presence network agents Maintenance engineering

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Adaptive Framework for Online Deployment of virtual Scenes on Heterogeneous Applications

Adaptive Framework for Online Deployment of Virtual Scenes o...

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The 2011 International Conference on Advanced Materials and Information Technology Processing(AMITP 2011)

作者： Qianyi Gu Visual Computing and Virtual Reality Key Laboratory of Sichuan Province College of Computer Science Sichuan Normal University

ISBN: (纸本)9783037851579

With emergence of online virtual reality applications, the 3D data of virtual scenes are available to heterogeneous end user devices with relatively limited computing power, resolution and transmission rate. Still, many virtual scenes created by expert developers are composed of complex 3D data models with huge number of geometry primitives and appearence elements. This complexity can cause a lot of problems when the scenes are deployed on the limited access devices. To address this issue, we propose a virtual scene adaptation framework which is able to perform the transformation of given complex 3D model into new forms with less geometric and appearance data. Through the framework, complex virtual scenes are connected with real-world semantics and are preprocessed with selected optimization strategies based on the semantic features matching client devices' capabilities before deployment.

关键词： virtual reality,Semantics,Ontology,Optimization,Deployment

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Water Treatment Plant Decision Making Using Rough Multiple Classifier Systems

Water Treatment Plant Decision Making Using Rough Multiple C...

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2011 2nd International Conference on Challenges in Environmental Science and Computer Engineering(CESCE 2011)

作者： Lin Feng College of Computer Science Sichuan Normal University Sichuan Key Laboratory of Visualization Computing and Virtual Reality

For high-dimensional water treatment plant data sets and a single rough classifier’s weak classification ability for data sets with many classes,a new computing approach,termed CMBMRCS(water treatment plant Classification Model Based on Multiple Rough Classifier Systems),is ***,by combing rough sets theory,some subset of attributes is ***,each simplified data set establishes a group of rough ***,the water treatment plant data classification result is obtained according to the absolute majority voting *** experimental results illustrate the effectiveness of the proposed methods.

关键词： Rough sets theory attribute reduction decision rules water treatment plant monitoring

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Water Treatment Plant Decision Making Using Rough Multiple Classifier Systems

Water Treatment Plant Decision Making Using Rough Multiple C...

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2011 International Conference on Energy and Environment(ICEE 2011)

作者： Lin Feng College of Computer Science Sichuan Normal University Sichuan Key Laboratory of Visualization Computing and Virtual Reality

For high-dimensional water treatment plant data sets and a single rough classifier's weak classification ability for data sets with many classes, a new computing approach, termed CMBMRCS(water treatment plant Classification Model Based on Multiple Rough Classifier Systems), is proposed. First, by combing rough sets theory, some subset of attributes is selected. Then, each simplified data set establishes a group of rough classifiers. Finally, the water treatment plant data classification result is obtained according to the absolute majority voting strategy. The experimental results illustrate the effectiveness of the proposed methods.

关键词： Rough sets theory attribute reduction decision rules water treatment plant monitoring

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Water Treatment Plant Decision Making Using Rough Multiple Classifier Systems

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Procedia Environmental Sciences 2011年 11卷 1419-1423页

作者： Lin Feng College of Computer Science Sichuan Normal UniversityChengdu Sichuan China Sichuan Key Laboratory of Visualization Computing and Virtual Reality Chengdu Sichuan China

For high-dimensional water treatment plant data sets and a single rough classifier's weak classification ability for data sets with many classes, a new computing approach, termed CMBMRCS (water treatment plant Classification Model Based on Multiple Rough Classifier Systems), is proposed. First, by combing rough sets theory, some subset of attributes is selected. Then, each simplified data set establishes a group of rough classifiers. Finally, the water treatment plant data classification result is obtained according to the absolute majority voting strategy. The experimental results illustrate the effectiveness of the proposed methods.

关键词： Rough sets theory attribute reduction decision rules water treatment plant monitoring

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Web usage mining with variable precision rough set approach

Web usage mining with variable precision rough set approach

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2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011

作者： Feng, Lin Guan, Baohua Sichuan Key Laboratory of Visualization Computing and Virtual Reality Sichuan Normal University Chengdu Sichuan Province China College of Computer Science Sichuan Normal University Chengdu Sichuan Province China Department of Planning and Construction Sichuan University Chengdu Sichuan Province China

ISBN: (纸本)9780769545479

The rich Web information makes the Web users to be drowned in the huge Web data. This paper proposes a new navigation approach termed WUMVPRSM (Web Usage Mining based on Variable Precision Rough Set Model) for Web users browsing a website. First, Log training data sets are reduced using attribute reduction module by rough set. And then, a reduced Log data set is trained to create a rough classifier. The final classification result for identifying Web user is obtained according to rough decision rules. Simulation results illustrate the efficiency of the proposed approaches. © 2011 IEEE.

关键词： Websites

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Web Usage Mining with Variable Precision Rough Set Approach

Web Usage Mining with Variable Precision Rough Set Approach

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The 2011 Fourth International Symposium on Knowledge Acquisition and Modeling（KAM 2011）

作者： Lin Feng Baohua Guan Sichuan Key Laboratory of Visualization Computing and Virtual Reality College of Computer Science Sichuan Normal University Department of Planning and Construction Sichuan University

The rich Web information makes the Web users to be drowned in the huge Web data. This paper proposes a new navigation approach termed WUMVPRSM(Web Usage Mining based on Variable Precision Rough Set Model) for Web users browsing a website. First, Log training data sets are reduced using attribute reduction module by rough set. And then, a reduced Log data set is trained to create a rough classifier. The final classification result for identifying Web user is obtained according to rough decision rules. Simulation results illustrate the efficiency of the proposed approaches.

关键词： Rough set,variable precision rough set model,attribute reduction,decision rule

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