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2014 11th Web information System and Application Conference(第十一届全国web信息系统及其应用学术会议)

作者： Hong Zhang Bing Lin Zhanghui Liu Wenzhong Guo College of Mathematics and Computer Science Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou 350116 China

ISBN: (纸本)9781479957286

The data availability in large-scale cloud storage has been increasing by means of data *** provide cost-effective availability, minimize the response time of applications and make load balancing for cloud storage, a new replica placement policy with bidding thought is *** policy combines the own characteristics of replica and factors of bidding mode(e.g, bidding time, bidding standard, bidding price etc.) and starts replica bidding activity when the file data availability cannot meet the given *** placement is based on capacity and accessing probability of data *** experimental results show that our policy has a better performance in both load balance and response time comparing to the static replica policy and CDRM scheme.

关键词： Data Replica Bidding Mode Cloud Storage Load Balance

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Base Station Planning Optimization Algorithm Based on Public Attitude

Base Station Planning Optimization Algorithm Based on Public...

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Wireless Communication and Sensor network, Intl Conference on

作者： Yan-Ping Liu Wen-Zhong Guo Fei-Long Zhao College of Mathematics and Computer Science Fuzhou University Fujian China Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Fuzhou University Fuzhou China

ISBN: (纸本)9781479970926

The problem of base station (BS) planning for TD-LTE network is studied in this paper. This method takes various factors into consideration according to the public attitude. The public attitude plays an important role in the process of BS planning. We choose the area where the network performance is the worst to build BS, according to public attitude, Monte Carlo method and least cost path analysis. The experience results show that after building a few BS, the network performance of planning area is generally good. The method has good application value.

关键词： Planning Monte Carlo methods Bills of materials Buildings Histograms Base stations Long Term Evolution

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A Background Prior Based Saliency Detection for JPEG Image

A Background Prior Based Saliency Detection for JPEG Image

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International Symposium on Computational Intelligence and Design, ISCID

作者： Xiaolong Sun Zhanghui Liu Wenzhong Guo College of Mathematics and Computer Science Fuzhou University Fuzhou China Fujian Province Key Laboratory of Network Computing and Intelligent Information Process Fuzhou China

ISBN: (纸本)9781479970063

Image saliency detection, which is aiming at locating meaningful objects in image and extracting the corresponding saliency map, has been attracting considerable attention. Most of existing saliency detection algorithms are dealing with uncompressed images, while numerous images are distributed and stored in JPEG format over Internet. Thus, this paper proposes a novel image saliency detection method dealing with JPEG images, which directly extracts 3 image low-level features (intensity, texture and color) from JPEG DCT blocks and then evaluates image saliency by calculating the shortest path from each internal point to the background. We compare our method with some state-of-the-art methods on the publicly available dataset MSRA-1000. Experimental results show that our method exhibits better performance in terms of all four evaluations than some state-of-the-art methods in our experiments. The final saliency maps indicate that our method can also produce satisfied saliency maps directly in compressed domain.

关键词： Image color analysis Discrete cosine transforms Transform coding Feature extraction Image coding Detection algorithms Computer vision

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Detecting community structures in social networks with particle swarm optimization

Detecting community structures in social networks with parti...

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2nd CCF Internet Conference of China, ICoC 2013

作者： Chen, Yuzhong Qiu, Xiaohui Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Fuzhou University China

ISBN: (纸本)9783642539589

Community detection in social networks is usually considered as an objective optimization problem. Due to the limitation of the objective function, the global optimum cannot describe the real partition well, and it is time consuming. In this paper, a novel PSO (particle swarm optimization) algorithm based on modularity optimization for community detection in social networks is proposed. Firstly, the algorithm takes similarity-based clustering to find core areas in the network, and then a modified particle swarm optimization is performed to optimize modularity in a new constructed weighted network which is compressed from the original one, and it is equivalent to optimize modularity in the original network with some restriction. Experiments are conducted in the synthetic and four real-world networks. The experimental results show that the proposed algorithm can effectively extract the intrinsic community structures of social networks. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Particle swarm optimization (PSO)

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A Combined Structure Optimization Method in Community Detection

A Combined Structure Optimization Method in Community Detect...

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第二届中国互联网学术年会

作者： Yuzhong Chen Xiaohui Qiu Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Fuzhou 350108 China

Community Detection in social networks is usually considered as an objective optimization *** to the objective function,the global optimum cannot describe the real partition well,and it is time *** this paper,a layered optimization framework is designed to improve the optimization process,reduce the scale of network and increase the quality of *** framework consists of three parts: finding cores in networks,repairing isolated nodes and optimization in a new constructed weighted network which is a compressed network of the origin ***,the equivalency of modularity optimization in the new compressed weighted network and the original one is ***,a combined algorithm of community Detection named DBPSO including similarity-based clustering,isolated nodes repairing strategies and a modified particle swarm optimization is proposed according to the layered optimization *** addition,a suitable mutation strategy for particle swarm optimization (PSO) is introduced to guarantee the convergence and global search ***,the experiments are conducted to evaluate the proposed algorithm by using the synthetic and real-world network *** results show that the proposed algorithm can effectively extract the intrinsic community structure of social networks.

关键词： Layered Optimization Framework Community Detection Particle Swarm Optimization Modularity

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A model of three points for location estimation in wireless sensor networks

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2013 2nd International Symposium on Materials Science and Engineering Technology, ISMSET 2013

作者： Xie, Shao Guo Hu, Yan Jun Wang, Yi Jiang, Fang Liu, Jing Jing Wang, Ying Guan Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education AnHui University Hefei China Key Laboratory of Wireless Sensor Network and Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai 200050 China

ISBN: (纸本)9783037858028

In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks (WSNs) with random deployment of anchor nodes. In this model, we select three anchor nodes which have the strongest received signal strength (RSS) for location estimation, the centroid algorithm and the method of intersection of judgment are used to estimate the location of unknown nodes. To further exploit three nearest intersection points in TP, the enhanced TP (ETP) is proposed. The simulation results show that the proposed models outperform MMSE and BML in terms of the localization accuracy for WSNs. Moreover, the localization accuracy of the proposed models in scenario 2 with random deployment of anchor nodes are better than in scenario 1 with planned deployment of anchor nodes. Additionally, compared with MMSE and BML, ETP and TP can reduce the environmental impact on location estimation. © (2013) Trans Tech Publications, Switzerland.

关键词： Location

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Architecture-Based Integrated Management of Cloud Resources

Architecture-Based Integrated Management of Cloud Resources

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International Conference on Cloud computing and Big Data (CloudCom-Asia)

作者： Xing Chen Ying Zhang Xiaodong Zhang Xianghan Zheng Wenzhong Guo Guolong Chen Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Key Laboratory of High Confidence Software Technologies (Ministry of Education)

Cloud management faces with great challenges, due to the diversity of Cloud resources and ever-changing management requirements. For constructing a management system to satisfy a specific management requirement, a redevelopment solution based on existing management system is usually more practicable than developing the system from scratch. However, the difficulty and workload of redevelopment are also very high. As the architecture-based runtime model is causally connected with the corresponding running system automatically, constructing an integrated Cloud management system based on the architecture-based runtime models of Cloud resources can benefit from the model-specific natures, and thus reduce the development workload. Therefore, in this paper, we present an architecture-based approach to managing diverse Cloud resources. First of all, the manageability (such as APIs, configuration files and scripts) of Cloud resources are abstracted as runtime models, which can automatically and immediately propagate any observable runtime changes of the target resources to the corresponding architecture models, and vice versa. Then, a customized model is constructed according to the specific Cloud management requirement. Finally, the operations on the customized model are mapped to the ones on Cloud resource runtime models through model transformation. Thus, all the management tasks can be carried out through executing operations on the customized model. The experiment on a real-world cloud demonstrates the feasibility, effectiveness and benefits of the new approach to integrated management of Cloud resources.

关键词： Runtime Servers Virtual machining Software Computer architecture Complexity theory Synchronization

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A Model of Three Points for Location Estimation in Wireless Sensor networks

A Model of Three Points for Location Estimation in Wireless ...

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2013 2nd International Symposium on Materials Science and Engineering Technology(ISMSET 2013)

作者： Shaoguo Xie Yanjun Hu Yi Wang Fang Jiang Jingjing Liu Yingguan Wang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education An Hui University Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences

In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks(WSNs) with random deployment of anchor nodes. In this model, we select three anchor nodes which have the strongest received signal strength(RSS) for location estimation, the centroid algorithm and the method of intersection of judgment are used to estimate the location of unknown nodes. To further exploit three nearest intersection points in TP, the enhanced TP(ETP) is proposed. The simulation results show that the proposed models outperform MMSE and BML in terms of the localization accuracy for WSNs. Moreover, the localization accuracy of the proposed models in scenario 2 with random deployment of anchor nodes are better than in scenario 1 with planned deployment of anchor nodes. Additionally, compared with MMSE and BML, ETP and TP can reduce the environmental impact on location estimation.

关键词： Location estimation Anchor node Wireless sensor networks

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Energy-Efficient Task Allocation for VFI-Based Real-Time Multi-core Systems

Energy-Efficient Task Allocation for VFI-Based Real-Time Mul...

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International Conference on information Science and Cloud computing Companion (ISCC-C)

作者： Xiaodong Wu Yuzhu Zeng Jianjun Han College of Mathematics and Computer Science Quanzhou Normal University Key Laboratory of Intelligent Computing and Information Processing Fujian Province University Fujian China College of Computer Science and Technology Huazhong University of Science and Technology Wuhan Hubei China

Chip Multiprocessor (CMP) has become computing engine for a wide spectrum of applications due to its higher throughput and better energy efficiency. The problem of optimal task-to-core allocation with the minimum energy consumption has been proven to be NP-hard. In order to solve the energy-efficient real-time task mapping in the voltage frequency islands (VFI) based multicore system, we propose a heuristics EEGA (Energy-Efficient and Genetic Algorithm) to address the problem. During the iteration process of the algorithm, the energy consumption of the processor can be gradually optimized by the selection, crossover and mutation operators. Experimental results show that when compared with other energy-efficient mapping algorithms, our proposed approach can gain better performance with regard to the energy efficiency and schedulability ratio.

关键词： Biological cells Real-time systems Multicore processing Resource management Energy efficiency Frequency synchronization Sociology

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A heterogeneous-aware cooperative MIMO transmission scheme in WSN

Journal of Software

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Journal of Software 2013年第3期8卷 639-644页

作者： Pei, Tingrui Xie, Da Li, Zhetao Tu, Dengbiao Choi, Youngjune College of Information Engineering Xiangtan University Xiangtan 411105 China Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan 411105 China School of Computer National University of Defense Technology Changsha 410073 China National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing 100029 China Department of Information and Computer Engineering Ajou University Suwon 443749 Korea Republic of

A heterogeneous-aware cooperative MIMO transmission scheme (HAMS) is proposed to optimize the network lifetime and save energy for energy heterogeneous wireless sensor networks (WSN). This scheme extends the traditional low-energy adaptive clustering hierarchy (LEACH) protocol to enable the cooperative MIMO transmission between the sink and clusters. Through the adaptive selection of cooperative nodes and the cooperative MIMO transmission, HAMS can gain effective performance improvement in terms of taking advantage of the presence of node heterogeneity. Based on the energy consumption model developed in this paper, the optimal parameter to minimize the overall energy consumption is found. Simulation results exhibit that HAMS can effectively save energy and prolong the network time. Furthermore, HAMS displays more resilient in different degree of heterogeneous wireless sensor networks. © 2013 ACADEMY PUBLISHER.

关键词： Energy utilization

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