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AFSA based path planning method for crowd evacuation

Journal of Information and Computational Science 2014年第11期11卷 3815-3823页

作者： Lu, Dianjie Zhang, Guijuan Liu, Yiliang Wang, Dequan Liu, Hong School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China School of Computer Science Fudan University Shanghai China

Path planning is critical to the efficiency and fidelity of the crowd evacuation simulation. In this paper, we propose a new path planning method for crowd evacuation based on an improved AFSA. In our method, the crowd simulated by the artificial fish swarm and the position of the crowd in evacuation scenario can be obtained through computing the position and direction of artificial fishes. In addition, we also introduce the PSO algorithm to calculate the velocity of artificial fishes in order to make the crowd evacuation simulation more realistic. Finally, we implement our method in different scenarios on the ACIS/HOOPS platform. The simulation shows that our method can enhance the efficiency and fidelity of crowd evacuation simulation. ©2014 Binary Information Press

关键词： Motion planning

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An improved outlier detection algorithm based on reverse k-nearest neighbors of adaptive parameters

An improved outlier detection algorithm based on reverse k-n...

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5th International Symposium on IT in Medicine and Education, ITME 2013

作者： Fangfang, Xie Liancheng, Xu Xuezhi, Chi Zhenfang, Zhu School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China Shandong Poice College Jinan 250014 China School of Information Science and Electric Engineering Shandong Jiaotong University Jinan 250357 China

ISBN: (纸本)9789400776173

The outlier detection algorithm based on reverse k-nearest neighbors can detect isolated points. The time complexity of finding the k-nearest neighbor is O(kN2), which is not suitable for large data set, and the selection of the parameters k have a great impact on getting the outliers in large data set. This paper used an adaptive method to determine the parameters k, and proposed an efficient pruning method by the triangle inequality, which reduced the computation in detecting outliers. The theoretical analysis and experimental results demonstrated the feasibility and efficiency of the algorithm. © Springer Science+Business Media Dordrecht 2014.

关键词： Signal detection

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IMLNB: Multi-label Naive Bayes classification based on ICA

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Journal of Computational Information Systems 2014年第12期10卷 5067-5074页

作者： Zheng, Xiyuan Zhang, Huaxiang Gao, Shuang School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan 250014 China Jinan 250101 China

Multi-label learning is initially used to deal with the difficult text classification problems of ambiguity concept, in which each document can belong to multiple topics simultaneously. In this paper, a novel multi-label learning method named IMLNB is proposed based on the traditional Naive Bayes algorithm. IMLNB first deals with the multi-label data set by using Independent Component Analysis (ICA), and then calculates the prior probabilities of each label. After that, it estimates the Gaussian distribution parameters of each dimensionality vector and then calculates the weight of each dimensionality vector and the posteriori probabilities. IMLNB can give the label predictions using the computed posteriori probabilities. Experimental results show that IMLNB can predict the possible labels of a new instance accurately. 1553-9105/Copyright © 2014 Binary Information Press.

关键词： Gaussian distribution

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Vertical Mining Probabilistic Frequent Itemsets From Uncertain Database

Vertical Mining Probabilistic Frequent Itemsets From Uncerta...

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2014全国理论计算机科学学术年会

作者： Xiao-mei YU Hong Wang Xiangwei Zheng School of Information Science and Engineering Shandong Normal UniversityJinan 250014P.R.China Shandong Provincial Key Laboratory for Distributed Computer software Novel Technology

With the emergence of new applications,the traditional methods of mining frequent itemsets are confronted with enormous challenges in uncertain *** one of the most classic algorithms,Eclat algorithm is regarded as a promising approach whose effciency is experimentally proved in mining expected support-based frequent itemsets,while it has not received much attention in the area of mining probabilistic frequent *** this paper,we review the previous effcient algorithms in the research of frequent itemsets mining over uncertain database,and then we propose a vertical mining algorithm with Eclat framework,which can mine all probabilistic frequent itemsets exactly and *** order to study its performance,we design difierent experiments to evaluate its performance on both synthetic and real data sets,which shows that the vertical mining algorithm is simple to implement and perform well in practice.

关键词： frequent itemsets mining uncertain database algorithm data mining

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Efficient routing in wireless sensor networks with multiple sessions

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Sensors and Transducers 2014年第5期171卷 99-105页

作者： Lu, Dianjie Zhang, Guijuan Han, Ren Zheng, Xiangwei Liu, Hong School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

Wireless Sensor Networks (WSNs) are subject to node failures because of limited energy and link unreliability which makes the design of routing protocols in such networks a challenging task. The multipath routing scheme is an optimal alternative to address this problem which splits the traffic across multiple paths instead of routing all the traffic along a single path. However, using more paths introduces more contentions which degrade energy efficiency. The problem becomes even more difficult in the scenario of multiple sessions since different source-destination pairs may pass the same link which makes the flow distribution of each link uncertain. Our goal is to minimize the energy cost and provide the robust transmission by choosing the optimal paths. We first study the problem from a theoretical standpoint by mapping it to the multi-commodity network design problem. Since it is hard to build a global addressing scheme due to the great number of sensor nodes, we propose a distributed Energy Efficient Routing protocol (D2ER). In D2ER, we employ the transportation method which can optimize the flow distribution with minimal energy consumption. Simulation results demonstrate that our optimal algorithm can save energy drastically. © 2014 IFSA Publishing, S. L.

关键词： Routing protocols

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Online course selecting system design and implementation

Online course selecting system design and implementation

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2014 International Conference on Computational Intelligence and Industrial Engineering(CIIE 2014)

作者： Yongsheng Zhang Ying Li Aiqin Bao School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology School of History and Social Development Shandong Normal University

With the increase of the number of college and university students,the amount of senate system data is correspondingly rising. As the core of university management,educational administration and its degree of information are directly related to the university teaching quality and management efficiency. Compared with the traditional course enrolment,online course system can better reflect the wide application of information technology on campus,which was more convenient to communicate the information among schools,teachers,and students. Relying on the popular B/S three-tier architecture,we designed the online course system with a good interaction,scalability,and a strong security. This paper ***-based network technology elective system development process,outlined the function of online course selecting system,and its relevant technology.

关键词： educational administration B/S online course system

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Bi-direction link prediction in dynamic multi-dimension networks

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Journal of Computational Information Systems 2014年第3期10卷 1333-1340页

作者： Wang, Hong Yuan, Weihua Yu, Xiaomei School of Information Science and Engineering Shandong Normal University Jinan 250014 China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan 250000 China School of Computer Science and Technology Shandong Jianzhu University Jinan 250101 China

Recently, many researchers have been attracted in link prediction which is an effective technique to be used in graph based models analysis. By using link prediction method can we understand associations between nodes. To the best of our knowledge, most of previous works in this area have not explored the prediction of links in dynamic Multi-dimension Networks and have not explored the prediction of links which could disappear in the future. We argue that these kinds of links are important. At least they can do complement for current link prediction processes in order to plan better for the future. In this paper, we propose a link prediction model, which is capable of predicting bi-direction links that might exist and may disappear in the future in dynamic Multi-dimension Networks. Firstly, we present the definition of multi-dimensional networks, reduction dimension networks and dynamic networks. Then we put forward some algorithms which build Multi-dimension Networks, reduction dimension networks and dynamic networks. After that, we give bi-direction link prediction algorithms in dynamic multi-dimension weighted networks. At the end, algorithms above are applied in recommendation networks. Experimental results show that these algorithms can improve the link prediction performance in dynamic multi-dimensional weighted networks. © 2014 Binary Information Press.

关键词： Forecasting

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Research on ontology-based literature retrieval model

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computer Modelling and New Technologies 2014年第6期18卷 281-289页

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

Proper understanding of textual data requires the exploitation and integration of unstructured and heterogeneous scientific literature, which are fundamental aspects in literature retrieval research. The traditional literature retrieval is based on keyword matching, and the retrieval results often deviating from the users' needs. In this paper from the perspective of ontology, we built shareable and relatively perfect medical enzyme ontology, which is the foundation of the study of domain ontology constructing method. The ontology-based full text retrieval algorithm is put forward, and a document retrieval system based on medical enzyme semantics is designed and implemented, which can not only implement intelligent literature retrieval, but also improve the recall significantly while keeping high precision. This system can employ in particular area moreover it can be used in different areas of the semantic retrieval, which can provide intelligent foundation for the expert systems in medical enzymes field, information retrieval and natural language understanding, etc. The experimental results on the public medical enzyme domain dataset show that our approach performs better than the state-of-the-art methods.

关键词： Ontology

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The population-based optimization algorithms for role modelling and path generation in group animation

Journal of Software

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Journal of software 2014年第1期9卷 26-36页

作者： Liu, Hong Li, Yuanyuan Yu, Hanchao School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan City China School of Information Science and Engineering Shandong Normal University Jinan City China

Traditional animation by key frame techniques takes animators lots of time and vigour to model and simulate behaviours of crowds. For solving this problem, this paper presents a novel group animation generation approach based on population-based optimization algorithms. It is mainly divided into two parts. First, it puts forward a role modelling approach based on dynamic selfadaptive genetic algorithm and NURBS technology. Second, following the introduction to PSO (Particle Swarm Optimization) algorithm, a group path generative approach is presented. It simulates group behaviours, including cohesion and separation, dynamic object tracking and collision avoidance. Finally, a group of shark modelling and path generation images are exhibited as examples. © 2014 ACADEMY PUBLISHER.

关键词： Genetic algorithms

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A digital watermarking algorithm based on CDMA and HVS

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Journal of Information and Computational Science 2014年第15期11卷 5593-5602页

作者： Yang, Feng Ji, Chunfeng Yang, Qianli School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Jinan China Tianjin Maritime Safety Administration Tianjin China University of California Irvine Irvine CA United States

Digital watermarking technology is an effective means to resolve problems on information security and copyright protection for digital media. The paper introduces CDMA (Code Division Multiple Access) to digital watermarking and proposes a digital watermarking algorithm for grayscale images based on CDMA and HVS (Human Visual System). The algorithm has adopted CDMA spread spectrum technology to orthogonalize the watermark to enhance security and considered human visual system when watermarks are embedded into the original images. Experiments have shown that the watermark can achieve invisibility and the algorithm is effective and robust. Copyright © 2014 Binary Information Press.

关键词： Code division multiple access

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