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19 篇 会议

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On-line Semantic Retrieval on the Multi Heterogeneous Product Information of Virtual Organization

On-line Semantic Retrieval on the Multi Heterogeneous Produc...

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Meiyu Zhang1 Chengfeng Jian2 Software College at Zhejiang University of Technology,Hangzhou,310023,China

The method of the identification and description of multi heterogeneous product information is put forward at *** then the pattern mapping between STEP and OWL is *** last a search system is presented which uses the method of the multi path-layers faced process and can resolve the identification and representation of production information.

关键词： Virtual organization Information Retrieval Semantic association OWL Multi Path-Layers

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Improved Apriori Algorithm Based on Weighted Mining Association Rules

Improved Apriori Algorithm Based on Weighted Mining Associat...

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Yuanyuan Zhao He Jiang Baoyou Sun Xiangjun Dong School of Information Science and Technology,Shandong Institute of Light Industry,Jinan,250353,China

This paper discusses algorithms based on the Algorithm Apriod and discovers their existing *** improved weighted association rules（Algorithm Wpriori）is proposed that makes the variations at the prune step of generating frequent items and generating association *** a result,more frequent items are discovered and the time of generating association rule is *** demonstrate the algorithm is feasible and efficient.

关键词： Association Rule Weight Frequent Itemset Algorithm Apriori WApriori

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Image Pre-processing of Harmful Stored Grain Insects Based on Mathematics Morphology

Image Pre-processing of Harmful Stored Grain Insects Based o...

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Long Zhou Yi Mou Wuhan Polytechnic University,Wuhan,430023,P.R.China Mianyun Chen Huazhong University of Science and Technology,Wuhan,430074,P.R.China

The detection method of pests in stored grain is always *** method of based on image recognition is often *** importance of image pre-processing based on mathematical morphology in the grain insect image processing is *** functions of Matlab image processing are used in the image *** image pre-processing and analysis techniques based on mathematical morphology are realized,and gain the goal of image denoising and smoothening,from which contusions are *** examples show that the method can obtain better edge detection.

关键词： image of grain insect mathematical morphology image pre-processing

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Analytical Model of Enterprise Resource Planning Platform Based on J2EE

Analytical Model of Enterprise Resource Planning Platform Ba...

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Yixiang Ding Minghua Jiang Ming Hu College of Computer Science,Wuhan University of Science and Engineering,Wuhan,Hubei 430073,China

An enterprise resource planning(ERP)system is defined as a unified information system,performing all information processing tasks of a company and realizing an integration of the whole *** paper describes the architecture of the ERP platform,which is composed of a front-end web server,an application server and a backend database server,and then proposes its analytical model by using queueing network theory. A test environment is built to measure model parameters based on enterprise standard server components and Load runner *** measurement results show the model predicts performance measures such as response time and throughput accurately.

关键词： Enterprise Resource Planning Queueing network mode 1 Mean-Value Analysis

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An Efficient and Effective Outlier Detection Method Based on Voronoi Diagram

An Efficient and Effective Outlier Detection Method Based on...

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Jilin Qu School of Computer and Information Engineering,Shandong University of Finance,Jinan,Shandong,250014,China

Outlier detection is an important problem for many domains and has attracted much attention *** distance-based method is widely used in application. However,the complexity of the method is quadratic to size of the dataset,and it will be no effect when the data points exhibit different densities in different regions of the *** this paper,we propose a new outlier detection method based on Voronoi diagram,called Voronoi based Outlier Detection（VOD）,to provide highly-accurate outlier detection and reduces the time complexity from O（n）to O（nlogn）.

关键词： Data Mining Outlier Detection Distance-based Voronoi Diagram Algorithm

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A Performance-optimizing Dependable Virtual Storage Scheme

A Performance-optimizing Dependable Virtual Storage Scheme

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Ming Hu~1 Minghua Jiang~2 College of Computer Science,Wuhan University of Science and Engineering,Wuhan,Hubei,430073,China

A performance-optimizing dependable virtual storage scheme is proposed to improve both the data-accessing performance and availability for distributed storage systems to meet user's different *** storage system improves the storage security by encrypting command message between servers and storage *** also provides the two-level address-mapping and request-decomposing computation to hide the implementation of storage nodes,to increase the capability of distributed computation,and to implement two types of storage *** scheme takes not only both homo-and hetero-geneous storage nodes into account,but also protect the integrity of the storage system behaviors based on distributed environments.

关键词： Distributed storage dependable network virtual storage scheme and performance-optimizing

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An Image Compression Algorithm Based on Neural Networks

An Image Compression Algorithm Based on Neural Networks

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Zejun Hu Department of Computer and Information Engineering,Guangdong Vocational College of Mechanical and Electrical Technology,Guangzhou,510515,China Xin Tan School of Communication,Chongqing University of Posts and Telecommunications,Chongqing,400065,China Xingliang Zhu School of Management,Chongqing Jiaotong University,Chongqing,400074,China

A novel image compression algorithm using competitive learning neural network is proposed to improve the original LBG algorithm,by using which higher image compression quality could be *** proposed scheme is based on vector quantization and modifies the learning rate and scaling function of updating equation, which is used to train the ***,to demonstrate the feasibility of this scheme,experimental results are presented,which show the proposed scheme can improve the quality of codebook greatly.

关键词： Compression Image Neural Network Training Learning

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Inventory Optimization in Cluster Supply Chains Based on SRCS

Inventory Optimization in Cluster Supply Chains Based on SRC...

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Chunling Liu School of Electronic & Information,Wuhan University of Science and Engineering,Wuhan,430073,China Peilin Guo zhijun Wu School of Economics & Management,Wuhan University of Science and Engineering,Wuhan,430073,China

This paper describes a robust inventory control strategy to find the optimal decision variables to weaken the bullwhip effect in cluster supply chains under environment of demand *** model is established to combine real-time optimization and simulation with regarding to the across-chain inventory *** robust inventory control based on switched system(SRCS)incorporates online inventory decision-making system to overcome model uncertainties and external *** is proved that this method is more effective and efficient to tune the controller in face of changing environment.

关键词： inventory management robust inventory online switched system cluster supply chains

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A Novel Image Compression Method Based on Fuzzy Theory and Neural Networks

A Novel Image Compression Method Based on Fuzzy Theory and N...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Xingliang Zhu School of Management,Chongqing Jiaotong University Chongqing,400074,China Xin Tan School of Communication,Chongqing University of Posts and Telecommunications Chongqing,400065,China Shilian Xu Department of Logistics Information Engineering,Logistical Engineering University Chongqing,400016,China

A image compression algorithm using fuzzy competitive learning neural network is proposed in this *** proposed scheme is based on vector ***, competitive learning neural network and fuzzy control system are included in the scheme to train the codebook and encode the source image by using the membership function and control ***,to demonstrate the effectiveness of this scheme,experiment results are *** to the experimental results, comparing with conventional vector quantization(LBG), the proposed scheme could greatly improve the quality of codebook.

关键词： Image Compression Fuzzy Competitive Learning Neural Network Vector Quantization Codebook

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A Routing Algorithm Based on the Characteristic of Complex Network for Wireless Sensor Network

A Routing Algorithm Based on the Characteristic of Complex N...

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Yong Zhang Tingting He Department of Computer Science,Huazhong Normal University,Wuhan,430079,China

In wireless sensor networks where nodes operate on limited battery energy,some other unique characteristics make these nodes impossible to be replaced or *** sensor nodes are facing the random failure and the selective attack all the time because the nodes are disabled *** it will cause partial or entire network *** have *** common three kind of wireless sensor network topology and overall considered routing thought of flooding algorithm and LEACH algorithm,then proposed a new routing algorithm based on the characteristic of complex *** the algorithm the threshold function is used to control that numbers of few nodes'load grow excessively *** is helpful in enhancing the network *** the network performance analysis and the simulation result indicated that it can improve network robustness and invulnerability after applying this algorithm in the wireless sensor network.

关键词： wireless sensor network complex network reliability robustness routing

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