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Point cloud coarse matching method for similar objects

ICIC Express Letters 2016年第9期10卷 2283-2289页

作者： Zhao, Qiang Guo, Xijuan Zhang, Buying Bai, Xinyu Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Ave. Qinhuangdao066004 China College of Information Science and Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao066004 China Technical Center Shenyang Aircraft Corporation Shenyang110850 China

Point cloud matching is much more difficult when an initial estimate of the relative pose is not known. In order to reduce the effect of relative pose on matching operation and improve the computing speed, this article presents a method to fast match the pose of two similar objects through the covariance of their point cloud coordinates. This paper contains three parts. In the first part, a matrix is constructed through the values of point coordinates of one object and then a set of orthogonal vectors will be obtained through eigenvector of the matrix. Rotation matrix will be obtained by comparing the vectors of two similar objects. In the second part, a description of procedures is given and the complexity of the algorithm is analyzed. In the last part, the experiment shows the proposed method has high computing efficiency and the matching results are acceptable. © 2016 ICIC International.

关键词： Covariance matrix

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Rain scenes rendering algorithm combining metaball with mass-spring surface

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and technology Edition) 2013年第SUPPL.1期43卷 230-234页

作者： Lyu, Meng-Ya Zheng, Xuan Tang, Yong College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province Qinhuangdao 066004 China

To solve the problems such as unreal effects, incomplete details in the rain scene, an algorithm to simulate water surface after rain hitting by combining Meatball with mass-spring water surface was presented. First, the raindrops model was estabished with particle system combining textures, and the water surface model was established with the mass-spring model. Secondly, the algorithm animated half globular bubbles after rain hitting with Meatball. Thirdly, water splash was simulated by means of the particle system and a gradual thinning and syncretizing technique. Finally, with the help of Cg language, the reflection and the refraction effect on the water surface, globular bubbles and water splash were simulated. The experiment shows that this approach can be used to simulate rain scenes efficiently and realistically.

关键词： Rain

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Mining weighted frequent traversal pattern from software executing graph

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ICIC Express Letters 2015年第11期9卷 2893-2900页

作者： He, Haitao Yin, Tengteng Pei, Caiyan Wu, Hongfei Ren, Jiadong College of Information Science and Engineering No. 438 West Hebei Ave. Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 West Hebei Ave. Qinhuangdao China School of Mathematics and Information Science and Technology Hebei Normal University of Science and Technology No. 360 West Hebei Street Qinhuangdao China

Mining important patterns in complex software executing network plays an important role in analyzing software security. The general sequential pattern mining algorithms may lead to poor performance due to the lack of consideration on the continuous property of software path traversals and the different importance of functions. To address the issue, a novel approach called weighted frequent traversal pattern miner (WFTPMiner) to mine weighted frequent traversal pattern from software executing graph is presented in this paper. In WFTPMiner, weighted software executing graph (WSEG) is modeled firstly. Secondly, software path traversals are extracted from WSEG by depthfirst- search (DFS) strategy. Thirdly, according to continuity characteristics of software path traversals, a potential frequent suffix sequence tree (PFSS-Tree) is defined to store the potential weighted frequent traversal patterns. A pruning strategy is adopted by PFSSTree. The pruning strategy can prune infrequent patterns effectively. The experimental results show that WFTPMiner has better efficiency compared with some previous algorithms. © 2015 ICIC International.

关键词： Forestry

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Performance analysis of synchronization buffering mechanism in peer-to-peer live streaming systems

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ICIC Express Letters, Part B: Applications 2012年第6期3卷 1665-1672页

作者： Jin, Shunfu Liu, Na Ma, Zhanyou College of Information Science and Engineering Yanshan University No. 438 Hebei Avenue Qinhuangdao 066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Avenue Qinhuangdao 066004 China College of Science Yanshan University No. 438 Hebei Avenue Qinhuangdao 066004 China

In the peer-to-peer (P2P) live streaming systems, a single stream is decomposed into multiple sub-streams. For the participating nodes, data blocks of different sub-streams are stored in different sub-buffers for synchronization, then forwarded and assembled to the original video stream in chronological order. In this paper, regarding the sub-buffers as multiple queues with homogeneous Poisson arrival processes, the data block forwarding procedure as a polling service, the forwarding suspension in an empty sub-buffer as a service delay state, a symmetric polling model is constructed. By using the method of embedded Markov chain, the mean queueing length and the probability for one queue to be empty when it is visited are derived in steady-state. Moreover, the performance measures in terms of average synchronization buffering length and video continuity level are obtained accordingly. Finally, numerical results are given to demonstrate that an appropriate number of sub-streams and a reasonable time limit for forwarding suspension can enhance the system performance.© 2012 ISSN 2185-2766.

关键词： Synchronization

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An improved community discovery algorithm in weighted social networks

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ICIC Express Letters 2016年第1期10卷 35-41页

作者： Guo, Jingfeng Liu, Miaomiao Liu, Linlin Chen, Xiao College of Information Science and Engineering Yanshan University No. 438 West Hebei Ave Qinhuangdao China College of Information Science and Engineering Northeast Petroleum University No. 199 Fazhan Road Daqing China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province No. 438 West Hebei Ave Qinhuangdao China

The algorithm AGMA (Automatic Graph Mining Algorithm) is improved and a novel community discovery algorithm, namely CRMA (Clustering Re-clustering Merging Algorithm) is proposed which can realize more reasonable community division for weighted social networks. Firstly, in the re-clustering stage, AGMA neglected the clustering situation of neighbors of current node and it did not take the weights of edges connecting the current node and its unclustered neighbors into account, which led to that some nodes cannot be clustered or their clustering was unreasonable. Aiming to this, the concept of the connection compactness between the node and the community is introduced, and then through clustering and re-clustering each node would be divided into the community that has the largest connection compactness with the node according to the node weight, the edge weight and the friend coecient between the node and the community. Secondly, for community division in some unweighted networks and signed networks, if there are many nodes whose clustered neighbors are less than its unclustered neighbors, the division results of AGMA tend to result in the lower modularity. In view of this problem, the concepts of positive edge weight density, the cluster density and the connection coecient between clusters are proposed. Lastly, communities are merged based on the above three concepts after re-clustering and the modularity is eectively enhanced. The higher correctness and better generality of the improved algorithm are veried through experiments. © 2016 ICIC International.

关键词： Clustering algorithms

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Critical node measuring method improved based on pagerank and betweenness

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ICIC Express Letters, Part B: Applications 2016年第11期7卷 2381-2387页

作者： Wang, Lei Dong, Jun Ren, Jiadong College of Information Science and Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province No. 438 Hebei Ave. Qinhuangdao066004 China E&A College Hebei Normal University of Science and Technology No. 360 Hebei Ave. Qinhuangdao066004 China

In software execution network, PageRank and betweenness methods are used to determine the importance of nodes. The experiment results show that the differences between nodes are not strong and cannot reflect the software nodes’ importance degree. In order to solve this problem, this paper adds the entropy weight method to the calculation of node weights, and puts the weights of nodes into the computing of two measuring methods above. Finally, we get the ranking result of nodes’ importance which means we can find out the critical nodes from top ones. Experimental results indicate that the method is efficient for critical node measuring. © 2016 ICIC International.

关键词： Surveying

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Correlation technology of suturing procedure in virtual surgery

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and technology Edition) 2013年第SUPPL.1期43卷 16-20页

作者： Lyu, Meng-Ya Han, Yu-Fang Tang, Yong College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University Qinhuangdao 066004 China

Aiming at the difficulty of achieving interactive simulation between soft tissue and suture, a method to simulate suturing procedure in virtual surgery was proposed. Firstly, mass-spring model was used as the physical model for soft tissue. In order to perform the relative motion between two masses of soft tissue realistically, an internal friction coefficient was introduced first. Secondly, the interaction of suture and soft tissue was aralyzed. A simple linear mass-spring model with following the leader algorithm was used to model the suture. A stress aralysis was carried out, when the suture touch the soft tissue, so the interaction process was close to physical reality. The movement of the whole suture computed by following the leader algorithm gave good performance in suture's rigidity characteristics. Finally, the interaction of the two deformable objects in a continuous pattern suture was considered, for each node of the soft tissue model, the node that attached to it was stored. This information can be used to compute the soft tissue deformation well. Experiment shows that it is realistical to simulate the soft tissue deformation and suture. meanwhile, the simulation is in real time.

关键词： Deformation

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Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks

arXiv

引用

arXiv 2022年

作者： Gong, Jibing Wan, Yao Liu, Ye Li, Xuewen Zhao, Yi Wang, Cheng Lin, Yuting Fang, Xiaohan Feng, Wenzheng Zhang, Jingyi Tang, Jie School of Information Science and Engineering The Key Lab for Computer Virtual Technology and System Integration The Key Laboratory for Software Engineering of Hebei Province Yanshan University No. 438 West Hebei Avenue Hebei Qinhuangdao066004 China School of Computer Science and Technology Huazhong University of Science and Technology Luoyu Road 1037 Hubei Wuhan430074 China Salesforce Research 556 Xixi Road Chicago United States School of Cyber Science and Technology Beihang University 37 Xueyuan Road Beijing100191 China Department of Computer Science Tsinghua University Beijing100084 China

Massive open online courses (MOOCs), which offer open access and widespread interactive participation through the internet, are quickly becoming the preferred method for online and remote learning. Several MOOC platforms offer the service of course recommendation to users, to improve the learning experience of users. Despite the usefulness of this service, we consider that recommending courses to users directly may neglect their varying degrees of expertise. To mitigate this gap, we examine an interesting problem © 2022, CC BY.

关键词： Information services

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AR Mechanical-Guiding Assembly system

AR Mechanical-Guiding Assembly System

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International Conference on virtual Reality and Visualization (ICVRV)

作者： Yuhan Liu Liguo Yang Yong Tang Jiangtao Li Chuanning Tang Jiangkai Jia Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China Yanshan University Level 16 College of Information Science and Engineering Qinhuangdao China Yanshan University Level 15 College of Information Science and Engineering Qinhuangdao China yanshan university College of Information Science and Engineering Qinhuangdao China

ISBN: (纸本)9781538684986;9781538684979

Guiding assembly system based on AR is to apply the technol-ogy of Augmented Reality to guide mechanical assembly op-eration and teach or train freshmen. By the means of adapting AR glasses(HoloLens, Magic Leap One etc.), we use virtual information to guide operating real mechanic. AR operation can achieve better effect than traditional reality training, and make industrial assembly process easier for costumers to un-derstand. It can also decrease losses caused by operational error, therefore increases efficiency safety and productivity.

关键词： Conferences virtual reality Visualization

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Geometric algebra support vector machine for pattern recognition

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ICIC Express Letters 2013年第3 B期7卷 1031-1035页

作者： Wang, Jinjia Zhang, Cuihua Lu, Haitao Hong, Wenxue College of Information Science and Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China College of Electrical Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China

Geometric algebra is the promotion of real, complex, quaternion, and has been successfully applied in physics, computer graphics, and other fields. The support vector machine (SVM) has been successfully used in the field of pattern recognition. On the basis of the Clifford support vector machine (CSVM), we improve support vector machine based on the principle of geometric algebra. We research the key technologies in training. The experimental results of the Iris data and Breast Cancer data set prove our ideas, and the correct recognition rates are 96% and 97.8%. © 2013 ICIC International.

关键词： Support vector machines

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