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检索条件"任意字段=International Symposium Distributed Computing and Applications Business Engineering and Science"

共 3566 条记录，以下是61-70 订阅

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Energy-Efficient distributed Clustering Algorithm Based on Coverage

Energy-Efficient Distributed Clustering Algorithm Based on C...

引用

9th international symposium on distributed computing and applications to business, engineering and science (DCABES 2010)

作者： Xu Yi Xu Yong-qiang Wuhan Univ Technol Dept Comp Sci & Technol Wuhan 430063 Hubei Peoples R China

ISBN: (纸本)9780769541105

In the field of wireless sensor network, it is one of the hottest issues of current research that how to maintain the quality of network coverage and balance nodes' energy consumption to optimize the network lifetime. This paper analyzed LEACH (low energy adaptive clustering hierarchy) and proposed an energy-efficient distributed clustering algorithm on coverage (ECAC). In the algorithm, the redundancy degree of coverage and node's rest energy are considered. Moreover, the distribution of cluster head is more reasonable. Simulation results show that: the improved algorithm can efficiently reduce the network energy consumption and improve the quality of coverage.

关键词： Wireless Sensor Networks Clustering Coverage Energy

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Review of Social Networking applications for Infectious Disease Management Systems in Saudi Arabia: Current Status & Future Prospects 16

Review of Social Networking Applications for Infectious Dise...

引用

16th international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Alanezi, Fahad Alshammary, Miznah Bedfordshire Univ Dept Comp Sci London England Kings Coll London Dept Comp Sci London England

ISBN: (纸本)9781538621622

Internet Technologies are widely used in healthcare services and information management. Various applications have been proved to be highly beneficial in delivering healthcare services, information and disease management. Social Networking is one of the best internet technologies that is being used in various business and management areas, and it has been revolutionary in enhancing the various operations through effective interactions between the various users. This paper focuses on reviewing the social networking, its architecture, and the prospects of using it for Infectious Disease Management (IDM) in Saudi Arabia. Methods: Review of Various literature sources and Social Networking applications for Healthcare/IDM Management. Results: The Study has found that Social Networking can be an effective approach for integrating it with the healthcare/IDM Systems as it would enable effective user interactions, which could enhance behavioral aspects in delivering/receiving healthcare services. However, there has been no study identified that has used social networking for IDM in Saudi Arabia. This paper suggests the wide scope for future research in integrating the social networking concept across various healthcare systems in Saudi Arabia.

关键词： Web infectious disease management social networking for healthcare infectious disease e-health Kingdom of Saudi Arabia Social Networking Infectious Disease Management Facebook Internet

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VaR and CVaR Estimate based on distributed Parallel Algorithm

VaR and CVaR Estimate based on Distributed Parallel Algorith...

引用

11th international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Fu Shu-huan Cao Jia-he Hohai Univ Sch Business Nanjing Jiangsu Peoples R China

ISBN: (纸本)9780769548180

CVaR has more advantages, than the VaR as portfolio risk measurement tool, but with the calculation of VaR, the Monte Carlo simulation method of the CVaR is difficult, and the cost is high. The establishment of the system of distributed parallel algorithm can reduce costs and speed up the calculation, which is conducive to the promotion of the CVaR Monte Carlo algorithm.

关键词： VaR the CVaR distributed Parallel Algorithm

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THE applications AND TRENDS OF HIGH PERFORMANCE computing IN FINANCE

THE APPLICATIONS AND TRENDS OF HIGH PERFORMANCE COMPUTING IN...

引用

9th international symposium on distributed computing and applications to business, engineering and science (DCABES 2010)

作者： Li Hong Lu Zhong-hua Chi Xue-bin Chinese Acad Sci Supercomp Ctr Network Informat Ctr Beijing 100190 Peoples R China

ISBN: (纸本)9780769541105

Large-scale parallel simulation and modeling have changed our world. Today, supercomputers are not just for research and scientific exploration;they have become an integral part of many industries, among which finance is one of the strongest growth factors for supercomputers, driven by ever increasing data volumes, greater data complexity and significantly more challenging data analysis. In this paper, a modest application of the developments of high-performance computing in finance is studied deeply. Attentions are not only focused on the what benefits the parallel algorithm bring to the financial research, but also on the practical applications of the High-Performance computing in real financial markets, especially some recent advances is highlighted. On that basis, some suggestions about the challenges and development directions of HPCs in finance are proposed.

关键词： High-Performance computing supercomputing in finance options pricing dynamic portfolio risk management

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Structure Maintaining Discriminant Maps (SMDM) for Grassmann manifold dimensionality reduction with applications to the Image Set Classification 16

Structure Maintaining Discriminant Maps (SMDM) for Grassmann...

引用

16th international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Wang, Rui Wu, Xiao-Jun Jiangnan Univ Sch Internet Things Engn JNU Wuxi Peoples R China

ISBN: (纸本)9781538621622

For the image-set based classification, a considerable advance has been made by representing original image sets on Grassmann manifold. In order to extend the advantages of the Euclidean based dimensionality reduction methods to the Grassmann Manifold, several methods have been suggested recently to jointly perform dimensionality reduction and metric learning on Grassmann manifold and they have achieved good results in some computer vision tasks. Nevertheless, when handling the classification tasks on the complicated datasets, the learned features do not exhibit enough discriminatory ability and the data distribution of the resulted Grassmann manifold also be ignored which may lead to overfitting. To overcome the two problems, we propose a new method named Structure Maintaining Discriminant Maps (SMDM) for manifold dimensionality reduction problems. As to SMDM, we mainly design a new discriminant function for metric learning. We make experiments on two tasks: face recognition and object categorization to evaluate the proposed method, the achieved better results compared with the state-of-the-art methods, showing the feasibility and effectiveness of the proposed algorithm.

关键词： Grassmann Manifold Dimensionality Reduction Discriminant Function Overfitting Data Distribution

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Analysis and implementation of abnormal user data for large scale communication based on spark 17

Analysis and implementation of abnormal user data for large ...

引用

17th international symposium on distributed computing and applications for business engineering and science (DCABES)

作者： Huang, Siqin Fang, Wei Jiangnan Univ Sch IoT Engn Wuxi Peoples R China

ISBN: (纸本)9781538674451

Abnormal communication refers to the user in the call traffic and business management and other daily consumption of abnormal behavior in the user. Communication operators have large-scale user data sets, and using data sets reasonably to make good guidance and recommendation to businesses can bring better economic benefits. However, for large-scale user feature datasets, serial machine learning and analysis methods spend a lot of time in feature processing, and data sets training is facing a huge time cost. In order to process and train abnormal user data better and more efficiently, this paper uses Spark to implement feature engineering and analyze large-scale anomaly user datasets to highlight the efficiency of Spark in analyzing feature data and implement distributed training to accelerate the algorithm model. The training algorithm takes the SVM distributed training dataset as an example and compares it with the stand-alone serial SVM and scikitlearn SVM. The experimental results show the advantages of distributed computing as well as good training results. Finally, common logistic regression and Bayesian algorithms and other distributed computing models to compare the training effect.

关键词： abnormal users SVM distributed

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Boosting Electronic business applications by Digitally Enabling SMBs with Cloud computing Model

Boosting Electronic Business Applications by Digitally Enabl...

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11th international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Gao, Shufeng Xu, Ai Beijing Inst Technol Zhuhai Coll Comp Sci & Technol Zhuhai Peoples R China Beijing Normal Univ Zhuhai Int Business Fac Zhuhai Peoples R China

ISBN: (纸本)9780769548180

Cloud computing, as a brand new and powerful computing model, is achieving increased popularity. Its emergence will provide extraordinary opportunities for firms, especially Small and Medium businesses (SMBs), to innovate and develop their electronic business. The paper starts with the discussion of the difficulties and challenges faced by SMBs during their development of electronic business. Then after mainly summarizing the definition and characteristics of cloud computing, the paper focuses on the benefits SMBs gained from cloud computing model to develop their electronic business applications and the new management challenges introduced through adoption of this new model.

关键词： Electronic business small and medium businesses (SMBs) cloud computing cloud applications

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Parallel Implementation of Mesh Simplification on a Beowulf Cluster

Parallel Implementation of Mesh Simplification on a Beowulf ...

引用

9th international symposium on distributed computing and applications to business, engineering and science (DCABES 2010)

作者： Lu Yongquan Gao Pengdong Qiu Chu Wang Jintao Lv Rui Commun Univ China Ctr High Performance Comp Beijing 100024 Peoples R China

ISBN: (纸本)9780769541105

The parallel implementation of a novel mesh simplification method is introduced detailedly in this paper, which is based on a Beowulf cluster system. Taking full advantage of the distributed memory and high performance network, we can simplify out-of-core models quickly and avoid thrashing the virtual memory system. In addition, the file I/O and load balancing are also considered to make sure a near optimal utilization of the computational resources as well as obtaining high quality output. A set of numerical experiments have demonstrated that our parallel implementation can not only reduce the execution time greatly but also obtain higher parallel efficiency.

关键词： mesh simplification Beowulf cluster distributed memory parallel implementation

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The research of domain ontology recommendation method with its applications in requirement traceability 16

The research of domain ontology recommendation method with i...

引用

16th international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Dong Huaqiang Liu Hongxing Xie Songyu Feng Yuqing Wuhan Univ Technol Sch Comp Sci & Technol Wuhan Hubei Peoples R China SDIC Chongqing GUOYUAN Port Grp Co Ltd Chongqing Peoples R China Wuhan Social Work Profess Coll Wuhan Hubei Peoples R China

ISBN: (纸本)9781538621622

Ontology can specify the concepts and their relationships. If ontology was used as the bridge to map between the source and target artifacts, it can help to solve the keyword matching problem regarding the requirement traceability in the semantic level. A domain ontology recommendation method has been proposed. Using this method, the lexical semantic representation list of the dependency syntax types can be produced at first using Stanford Parser. Then, the terms as well as their relations can be extracted using the clear algorithm and rule-based matching algorithm. As follows, these terms and their relations can be transformed into domain concepts and their relations, obtaining the domain ontology recommendation. Finally, the domain ontology that is suitable for the requirement traceability can be gained through the processes of selection and revision by the domain experts. The experimental results demonstrate that if the proposed domain ontology was applied to requirement traceability, it can effectively improve the accuracy of the requirement traceability, compared with the vector space model and the requirement traceability method based on HOWNET.

关键词： Domain Ontology Requirement Traceability Dependency Parsing Stanford Parser

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An improvement to affine decomposition on distributed memory architecture

An improvement to affine decomposition on distributed memory...

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11th international symposium on distributed computing and applications to business, engineering and science (DCABES)

作者： Ding Rui Zhao Rongcai Liu Xiaoxian Natl Digital Switching Syst Engn & Technol Res Ct Zhengzhou Peoples R China

ISBN: (纸本)9780769548180

Automatic decomposition is an optimization technique that distributes computation and data onto different processors. The consequence of decomposition directly affects the performance of parallel program. Since every computing node has its own memory in distributed memory parallel computers (DMPCs), false dependence does not hinder the parallelism. Affine decomposition is an effective method to represent and derive computation partition and data distribution, and its principle of adding dependence constraint is too strict to gain more parallelism. Some loop nests do not satisfy the affine condition, and are prohibited from parallelism by affine decomposition. However, if only the irregular access is caused by indirect array, loop and array reference can be partitioned at compile time. To tackle above problems of affine decomposition, an improved static decomposition algorithm of DMPCs proposed in this paper. The experimental results show that this algorithm can improve the performance of parallel programs.

关键词： affine decomposition false dependence indirect array automatic parallelization

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