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International Journal of Control and Automation 2015年第3期8卷 53-66页

作者： Jing, Bai Hong, Liu School of Information Science and Engineering College Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China

Crowd animation is a new and continuous challenge in computer animation. In tradition, crowd animation can be realized by key frame technology, and animators should set every character's expression, action, motion, and behavior. Therefore animators' workload by hand will increase tremendously with characters growing, which lead to difficult to realize crowd animation for low efficiency and poor global controllability, especially in path planning by appointing a target position for each individuals. In order to overcome these, an improved artificial bee colony (IM-ABC) algorithm is proposed to apply on the path planning of crowd animation. The IM-ABC is fit to simulate the crowd motion in animation based on the following two merits over the others in crowd animation. One is the rule of role transformation, which can make the rapid convergence of the result and avoid getting trapped in the local optima. The other is the realization of multi-object optimization in the process of iteration, which reaches the uniformly distributed result of swarm motion and especially fits to realize the path plan. In this paper, we simply reviews classical ABC algorithm proposed by Karaboga at the beginning. Then, in order to speed the convergence and make individuals generate paths more realistic and natural, some measures are taken to modify the classical ABC (called IM-ABC) algorithm, which include initializing colony based on chaos sequence, self-adaptively selecting the follower bees, and adaptively controlling parameters, etc. After the experiments of benchmark functions, the results confirm that the IM-ABC have better performance than the classical ABC algorithm and others. Finally, the IM-ABC algorithm is used for path planning to generate the route from the initial to the destination without collision. Through simulation experiments based on four motion models it is showed that this method can succeed generating the optimum paths with efficiency, intelligence, and natural featu

关键词： Motion planning

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Community Discovery Algorithm Based on Potential Energy in Complex Network 34

Community Discovery Algorithm Based on Potential Energy in C...

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第三十四届中国控制会议

作者： LIU Shuangshuang WANG Hong School of Information Science and Engineering Shandong Normal University Distributed in Shandong province key laboratory of computer software

ISBN: (纸本)9781467374439

In recent years,our understanding of complex networks has *** structure as a common characteristic of complex networks has become an important direction in the study of complex ***,people put forward many community detection *** original Largest Fitness Measure algorithm,the selection of seed node is random,community division needs to be improved,and it is difficult to achieve its end *** on above problems,we propose a kind of Weight Largest Fitness Measure *** to the thought of potential energy,the new algorithm optimizes and handles initial node,simplify node fitness function and expand community according to potential ***,through two groups of experimental validate the performance of the *** experimental results show that,compared with Largest Fitness Measure algorithm,the new algorithm has higher accuracy and shorter run time.

关键词： Complex Network,Community Detection,Potential Energy

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An improved mixed-type data based kernel clustering algorithm

An improved mixed-type data based kernel clustering algorith...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Min Ren Peiyu Liu Zhihao Wang Xiao Pan School of Mathematic and Quantitative Economics Shandong University of Finance and Economics Jinan Shandong province China School of Information Science and Engineering Shandong Normal University Jinan Shandong province China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan Shandong province China

ISBN: (纸本)9781509040940

Clustering algorithm is often used to analyze the communication data for network intrusion detection system. However, network communication data are mixed, e.g., numerical and categorical data. So, at first, this paper put forward a method for representing the cluster center (prototype) of mixed-type data. Then respectively in combination with the continuity characteristic of the numerical attributes and the semantic feature of the categorical attributes, the dissimilarity measurement formula was improved by use of the Gauss kernel function, on the base of which, defined the objective function. After that this paper further put forward an Improved Mixed-type Data based Kernel Clustering Algorithm (IKCA-MD), which showed a stable clustering result because the initial cluster centers are obtained by Maximum Density and Distance method (MDD). Finally the feasibility and effectiveness of the method for the network intrusion detection were verified by experiments.

关键词： Clustering algorithms Kernel Prototypes Intrusion detection Linear programming Training Testing

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Microblog Orientation Analysis Based on Connnectives 10

Microblog Orientation Analysis Based on Connnectives

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10th International Conference on Broadband and Wireless Computing, Communication and Applications, BWCCA 2015

作者： Zhao, Jun Wang, Hong School of Information Science and Engineering Shandong Normal University Jinan250014 China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan250014 China

ISBN: (纸本)9781467383158

At present, a larger number of researchers analyzed Micro-blog orientation and they concentrated their energy on emotional words, adverb and negative words without considering the impact of other emotional factors, such as the coordinative relation, progressive relation and adversative relation. So a method studying the sentiment polarity of associated words was proposed. The structure characteristics of associated words were analyzed sufficiently, and a turning words dictionary, a Chinese emotion dictionary and a negative words dictionary were founded based on the existing dictionary. This paper considers the combination laws of negative words, adversative words and conjunctions into Micro-blog. In the experiments, we verify this method can analyze the sentiment polarity of transition sentences efficiently and also has higher classification accuracy. © 2015 IEEE.

关键词： Chinese Microblog Connectives Emotional Dictionary Orientation Analysis SVM

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A Community Evolution Model Based on Visibility Graph

A Community Evolution Model Based on Visibility Graph

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第三十四届中国控制会议

作者： WANG Hong SUN Yan-shen School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Department of Earth Sciences Zhejiang University

ISBN: (纸本)9781467374439

One of the most important work to analyze networks is community detection. We present a dynamic community discovery method based on Visibility Graph. Firstly, we put forward related definitions of Visibility Graph for multi-dimensional time series. Then, we present algorithms to describe how to use Visibility Graph in finding communities in complex networks. Finally, we present algorithms to find dynamic multi-relational communities. We apply our method in some real data sets. Experimental results show that our methods do better for finding dynamic communities in complex networks.

关键词： community evolution,visibility graph,community discovery,complex network

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A community evolution model based on visibility graph 34

A community evolution model based on visibility graph

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34th Chinese Control Conference, CCC 2015

作者： Hong, Wang Yan-Shen, Sun School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China Department of Earth Sciences Zhejiang University Hangzhou China

ISBN: (纸本)9789881563897

关键词： community discovery community evolution complex network visibility graph

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A Novel Quantum-behaved Particle Swarm Optimization Algorithm

A Novel Quantum-behaved Particle Swarm Optimization Algorith...

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第十四届分布式计算及其应用国际学术研讨会

作者： Jing Zhao Hong Liu School of Information Qilu University of Technology Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology College of Information Science and Engineering Shandong Normal University

A novel Quantum-behaved Particle Swarm Optimization algorithm with probability(P-QPSO) is introduced to improve the global convergence property of QPSO. In the proposed algorithm, all the particles keep the original evolution with large probability, and do not update the position of particles with small probability, and re-initialize the position of particles with small probability. Seven benchmark functions are used to test the performance of P-QPSO. The results of experiment show that the proposed technique can increase diversity of population and converge more rapidly than other evolutionary computation methods.

关键词： particle swarm optimization algorithm quantum-behaved probability benchmark function

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A Study on Cooperative Multi-objective Group Search Optimizer

A Study on Cooperative Multi-objective Group Search Optimize...

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第27届中国控制与决策会议

作者： Ya-zhou Li Xiang-wei Zheng Xian-cui Xiao School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology

ISBN: (纸本)9781479970186

Group Search Optimizer(GSO) is a swarm intelligence algorithm inspired from animal's foraging *** algorithm demonstrated its obvious superiority in solving complex engineering *** on the strategy of divide-and-conquer and cooperative coevolution framework,a Cooperative Coevolutionary Multi-objective Group Search Optimizer(CMOGSO) is proposed in this *** CMOGSO,multi-objective optimization problems are decomposed according to their decision variables and are optimized by corresponding sub-groups *** are selected randomly from archive and employed to construct context vectors in order to evaluate the members in *** results demonstrate that CMOGSO can more effectively and efficiently solve multi-objective optimization problems compared with other evolutionary multi-objective optimizers.

关键词： Group search optimizer Multi-objective optimization cooperative coevolution context vector

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Multi-tenant data integrity verification scheme based on B+ tree

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Journal of Computational Information Systems 2015年第16期11卷 6111-6118页

作者： Li, Ying Zhang, Yongsheng School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China

Data integrity is the prime concern for users to consider whether to use cloud storage services or not. And data integrity verification is not only an effective measure for users to detect their stored data whether secure and integral, but also a key technology to prevent their data from being lost or falsified in unknown circumstances. For the highly dynamic and multi-tenant characteristics of data under cloud storage environment, a multi-tenant oriented, supported dynamic operations and high-efficiency scheme of data integrity verification was proposed in this paper. We introduce an improved double-tree verification structure on the basis of dynamic RDPC protocol. The innovation concentrates on the idea of combining B+ tree with H-MHT tree and adjusting H-MHT structure dynamically in the tenant layer. And moreover, we adopt the improved homomorphic hash functions to enhance the security of RDPC protocol. Theoretical analysis and experimental results show that the scheme has obvious advantages in terms of performance. © 2015 by Binary Information Press

关键词： Cloud storage

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Transforming GIS data into road scenes for crowd simulation

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Journal of Information and Computational Science 2015年第13期12卷 5153-5162页

作者： Liu, Wenjie Liu, Hong Zhang, Guijuan School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China

The simulation of crowd evacuation has a great significance. It contributes to the formulation of corresponding contingency plans, guides the design of the scene, as well as can prevent or reduce the casualties in emergency situation. How to construct crowd simulation scene quickly is one of the main challenges. Traditional construction of simulation environment depends on 3D scene modeling. However this method is inefficient which takes a long period due to the complexity of modeling. In order to reduce the complexity of scene modeling, this paper puts forward an efficient method for enhancing a road map from Geographic Information System (GIS) data. We can construct a road scene to be used in crowd simulation. First, we extract geometrical information (e. g., vector data) of the roads from the 2D map by using GIS. Then we define the topological relationships and construct a topological graph of the roads. Based on the above geometrical and topological information, we transform GIS data into road scenes for crowd simulation. The simulation results show that the method can significantly improve the efficiency of environment construction and crowd simulation in the complex scene. ©, 2015, Journal of Information and Computational Science. All right reserved.

关键词： Geographic information systems

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