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2014 International Conference on e-Education,e-Business and Information Management(ICEEIM 2014)

作者： Xiaofang Wang Jun Ma Ming Xu School of Computer Science and Technology Shandong University Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan

Recently,the Support Vector Machine(SVM) using Spatial Pyramid Matching(SPM) kernel has achieved remarkable successful in image classification. The classification accuracy can be improved further when combining the sparse coding with SPM. However,the existing methods give the same weight of patches of SPM at different levels. Clearly the discriminative powers of SPM at different levels are distinct and there are correlation relationships among the sparse coding bases vectors,which usually have negative influence on the classification accuracy. This paper assigns different weights to the patches at different levels of SPM,and then proposes a new spatial pyramid matching kernel. Furthermore,the Principle Component Analysis(PCA) is employed to reduce the dimension of the feature vectors in order to decrease correlation among vectors and speed up the SVM training process. The preprocessing can enhance the discriminative ability of the new kernel as well. Experiments carried out on Caltech101 and Caltech256 datasets show that the new SPM kernel outperforms the existing methods in terms of the classification accuracy.

关键词： Sparse coding,Spatial pyramid matching,Support vector machine,Image classification

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Physically-based Animation of Water Pollutant Diffusion

Physically-based Animation of Water Pollutant Diffusion

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The 6th International Conference on computer Research and Development

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

We present a physically-based animation method for simulating the diffusion of water pollutant in this paper. Our method allows animating the dynamic evolution of biological pollutants(e.g., water hyacinth, algae) on largescale water surface effectively. To enable the simulation of such a phenomenon in large scale virtual environment, we simplify the problem by considering the water pollutants as large patches or clusters of aquatic plants rather than each single aquatic plant. Since there exits obvious interface between the large patches of pollutants and the water surface, we model the evolution of the interface in our approach. We use 2D dynamic curves to represent the interface and the diffusion of the water pollutants can be regarded as the dynamic evolution and propagation of 2D curves. To alleviate the topological changes of 2D curves, we adopt a physically-based 2D level set model to animate the evolution and propagation of the interface. We build a level set equation to model the evolution of the interface. In addition, to handle the large scale virtual environment correctly in our physically-based level set model, an imagebased 2D voxelization method is proposed in the paper. In the voxelization method, the virtual environment will be converted to boundary conditions when solving the level set equation. Finally, the water pollutants diffusion phenomenon is simulated on large scale water surface by merging the interface animation results as well as the large scale virtual environment. Animation results about the algae propagation phenomenon in Taihu Lake show that our method is intuitively to be implemented and very convenient to produce visually interesting results.

关键词： water pollution water pollutant diffusion physically-based animation

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Flame detection algorithm based on a saliency detection technique with prior information in the YCbCr color space

Flame detection algorithm based on a saliency detection tech...

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2014 IEEE 7th Joint International Information technology and Artificial Intelligence Conference

作者： Zhao-Guang Liu Yang Yang Yun-Xia Liu Shandong Provincial Key Laboratory of Digital Media Technology School of Computer Science and Technology Shandong University of Finance and Economics School of Information Science and Engineering Shandong University

ISBN: (纸本)9781479944187

computer vision-based fire detection involves flame detection and smoke detection. This paper proposes a new flame detection algorithm, which is based on a saliency detection technique with prior information in color space. In still images and video sequences, an area containing a flame always attracts the attention because it is an exceptional event. Thus, to utilize the color information of flame pixels, the probability density function of the flame pixel color can be obtained using Parzen window nonparametric estimation. This prior probability density function is then fused with the saliency detection phase as topdown information so the flame candidate area can be extracted. According to the experimental results, our proposed method can reduce the number of false alarms greatly compared with an alternative algorithm, while it also ensures the accurate classification of positive samples. The classification performance of our proposed method was better than that of alternative algorithms.

关键词： flame detection saliency detection probability density function YCb Cr color space

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A new way for path planning based on BBO in crowd animation

A new way for path planning based on BBO in crowd animation

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2013 International Conference on Future computer and Information technology(ICFCIT 2013)

作者： Kaige Gao Xiangwei Zheng Hongwei Ma School of Information Science and Engineering Shandong Normal University Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology

In crowd animation production, it is difficult to design realistic and natural crowd motion paths using traditional methods. In order to solve the problems in generating paths of a crowd, a new approach based on an interactive evolutionary algorithm(EA) named biogeography-based optimization(BBO) is proposed in this paper. The optimization process of individuals is considered as the motion process of a crowd. Specifically, the new approach is applied into a system to generate crowd motion paths and the simulation results demonstrate the efficiency and effectiveness of it.

关键词： crowd path planning,biogeography-based optimization,BBO,avoidance

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Detecting genuine communities from large-scale social networks: A pattern-based method

Detecting genuine communities from large-scale social networ...

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作者： Wu, Zhiang Cao, Jie Wu, Junjie Wang, Youquan Liu, Chunyang Jiangsu Provincial Key Laboratory of E-Business Nanjing University of Finance and Economics Nanjing210003 China College of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Department of Information Systems School of Economics and Management Beihang 100191 China National Computer Network Emergency Response Technical Team Coordination Center of China Beijing China

Community detection is a long-standing yet very difficult task in social network analysis. It becomes more challenging as many online social networking sites are evolving into super-large scales. Numerous methods have been proposed for community detection from massive networks, but how to reconcile the partitioning efficiency and the community quality remains an open problem. In this paper, we attempt to address this challenge by introducing a COSine-pattern-based COMmunity extraction framework: COSCOM. The COSCOM adopts an extracting view of community detection. It first extracts the so-called asymptotically equivalent structures (AESs) from networks, from which the nodes are further partitioned into crisp communities using any of the existing methods. Specifically, we prove that an AES is a very tight group of nodes, and is actually a cosine pattern defined by the extended cosine similarity. A novel cosine-pattern mining algorithm based on the ordered anti-monotone of cosine similarity is thus proposed for the efficient extraction of AESs. Experiments on various real-world social networks demonstrate the advantage of the extracting view of community detection. In particular, COSCOM shows merits in detecting genuine communities by either internal or external validity. © The British computer Society 2013. All rights reserved.

关键词： Extraction

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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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A method of computing the hot topics' popularity on the internet combined with the features of the microblogs

A method of computing the hot topics' popularity on the inte...

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

作者： Wei, Yongqing Zhang, Zhen Fei, Shaodong Du, Wentao Basic Education Department Shandong Police College Jinan 250014 China 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 University of Finance and Economics Jinan 250014 China

ISBN: (纸本)9789400776173

The article puts forward a new formula of computing the popularity of the topics, which is based on the stream of the news on the internet. What's more, the features of the microblogs should be also considered and combined. The hot topics are sorted by the values of them, so the information of the topics is convenient and accurate to be acquired for the public. It is beneficial to the government to supervise the public opinion as well. The experiments are based on both news and the microblogs. Our system could figure out the value of the hot topics by the popularity among users, after that the topics will be sorted automatically. The results of the experiments have shown that the system worked well. © Springer science+Business Media Dordrecht 2014.

关键词： Social aspects

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A multi-hop localization algorithm in underwater wireless sensor networks

A multi-hop localization algorithm in underwater wireless se...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Zhiwen Zhu Wenbing Guan Linfeng Liu Sheng Li Shanshan Kong Yudao Yan Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China School of Computer Science & Technology Nanjing University of Posts and Telecommunications Nanjing China

In mobile underwater environment, underwater wireless sensor networks (UWSNs) keep moving and dispersing due to water flowing and aquatic creatures touching, and thus some isolated nodes appear. This type of isolated nodes cannot obtain enough anchor nodes in their communication range, which makes self-localizations disabled. In order to solve this problem, a multi-hop localization scheme is proposed in this paper. Firstly, ordinary nodes between anchors and unknown nodes are set as routers to find the shortest paths by a greedy approach; secondly, the shortest paths are approximately fitted into a straight distance between two nodes; finally, the positions of unknown nodes can be calculated by trilateration. The proposed algorithm is simulated and is compared with other algorithms in terms of localization error, and the results are proven preferable.

关键词： Wireless sensor networks Approximation algorithms Ocean temperature Spread spectrum communication Sea surface Acoustics Estimation

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Energy-efficient node deployment strategy for wireless sensor networks

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The Journal of China Universities of Posts and Telecommunications 2013年第1期20卷 54-57页

作者： SHA Chao WANG Ru-chuan College of Computer Science and Technology Nanjing University of Posts and Telecommunications Jiangsu Provincial Key Laboratory of Wireless Sensor Networks Institute of Computer Technology Nanjing University of Posts and Telecommunications

To balancing energy consumption in wireless sensor networks, we proposed a fixed time interval node broadcasting scheme under variational acceleration straight-line movement model. Simulation results show that the approach proposed in this paper has a superior performance on energy consumption balance compared to uniform broadcasting methods.

关键词： wireless sensor networks energy balance variational acceleration movement

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Effect of the waterside boundary condition on the seepage and slope stability analyses of the Natomas levees - A case study

Effect of the waterside boundary condition on the seepage an...

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2014 Congress on Geo-Characterization and Modeling for Sustainability, Geo-Congress 2014

作者： Du, Rongqiang Merry, Scott Shandong Provincial Key Laboratory of Civil Engineering Disaster Prevention and Mitigation College of Civil Engineering and Architecture Shandong University of Science and Technology Qingdao Shandong 266590 China University of the Pacific Stockton CA 95211 United States Department of Civil Engineering School of Engineering and Computer Science University of the Pacific 3601 Pacific Avenue Stockton CA 95211 United States

ISBN: (纸本)9780784413272

The Natomas basin is a 21,450 hectare (53,000 acre) area immediately north of downtown Sacramento. The area, which includes an international airport, a civic sports arena, commercial developments, and extensive residential neighborhoods, relies on levees for flood protection along its entire perimeter. The western boundary is a 29.9 km (18.6 mile) long levee that is intended to protect it from flooding by the Sacramento River. Since its construction in the early 1900s, this clay-capped sand levee has experienced a myriad of performance issues stemming from excessive under- and through-seepage. Recently, engineers completed design and construction of remedial measures with the objective of mitigating the historic performance issues. Citing deep and varying bathymetry along the center of the Sacramento River channel, the vertical boundary was modeled as a constant-head boundary. The numerical models and the resulting engineering alternatives and designs were reviewed and approved by the United States Army Corps of Engineers and a blue-ribbon panel of recognized levee experts. This case study will use numerical models established at three different cross-sections to compare the consequences of modeling the vertical boundary along the centerline of the river with a constant-head or a flowline boundary condition. The paper demonstrates that a flowline boundary condition is technically correct and at (and beyond) the toe of the levee results in seepage gradients that are less than or equal to those computed when using a constant head condition. Where the river bottom is lined with low permeability blanket materials, the use of a constant head boundary condition provides seepage gradients and stability factors of safety that are excessively conservative. © 2014 American Society of Civil Engineers.

关键词： Levees

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