2010 13th IEEE International Conference on Computational Science and Engineering最新文献_第6页

An Effective Method to Improve the Resistance to Frangibility in Scale-Free Networks 一种提高无标度网络抗脆性的有效方法

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.36

Kaihua Xu, Yongwei Meng, Yuhua Liu, N. Xiong, L. Yang, Meirong Zheng

{"title":"An Effective Method to Improve the Resistance to Frangibility in Scale-Free Networks","authors":"Kaihua Xu, Yongwei Meng, Yuhua Liu, N. Xiong, L. Yang, Meirong Zheng","doi":"10.1109/CSE.2010.36","DOIUrl":"https://doi.org/10.1109/CSE.2010.36","url":null,"abstract":"The scale-free networks reveals the essential characteristics of networks, which can be used to describe many realistic networks, which has a common features: The minority vertices have massive connections, the number of which may reach as high as several million, but the majority vertices only have few connections, which is one of characteristics of scale-free networks. So the scale-free networks were robust when nodes were moved randomly but frangible when nodes were attacked spitefully. If the networks ' degree distribution is uniform, which may enhance the vulnerability capacity of the scale-free networks. Therefore this paper embarks from hubs and the minimum degree the two aspects to improve scale-free networks¡¯ anti-frangibility ability. To improve the resistance to frangibility in scale free networks, a model based on endurable probability and entropy of degree distribution was proposed in this paper. In order to control the hubs, a method was put forward to measure off rank. We focused on the key nodes, which a certain nodes should be protected and a certain connections should be partitioned and reconstructed. Compare with the original structure, the optimized structure was smarter, more tolerant of wrong and resistant of frangibility. The simulation showed that the minimum degree of scale free networks was set and coordinated properly, which could mend the resistance to frangibility. And the topology of scale-free networks was optimized and the work efficiency and resist of frangibility were also improved.","PeriodicalId":342688,"journal":{"name":"2010 13th IEEE International Conference on Computational Science and Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124797858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Modeling and Prolonging Techniques on Operational Lifetime of Wireless Sensor Networks 无线传感器网络工作寿命建模与延长技术

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.11

Fuu-Cheng Jiang, Chao-Tung Yang, Shih-Meng Teng, Hsiang-Wei Wu, Yi-Ju Chiang

{"title":"Modeling and Prolonging Techniques on Operational Lifetime of Wireless Sensor Networks","authors":"Fuu-Cheng Jiang, Chao-Tung Yang, Shih-Meng Teng, Hsiang-Wei Wu, Yi-Ju Chiang","doi":"10.1109/CSE.2010.11","DOIUrl":"https://doi.org/10.1109/CSE.2010.11","url":null,"abstract":"Power consumption is an essentially important issue and an interesting challenge to prolong the lifetime of wireless sensor network (WSN). Sensors closer to a sink node have a larger forwarding traffic burden and consume more energy than nodes further away from the sink. The whole operational lifetime of WSN is deteriorated because of such an uneven node power consumption patterns, leading to what is known as an energy hole problem (EHP) around the sink node. In this article, we propose a novel power-saving scheme to alleviate the EHP based on the Min(N, T) policy M/G/1 queuing model. With little management cost, the proposed queue-based power-saving technique can be applied to prolong the lifetime of sensor network economically and effectively. For the proposed queue-based model, mathematical framework on performance measures have been formulated. And also we analyze the average traffic load per node for concentric sensor network. Focusing on the nodes located in the innermost shell of WSN, numerical and NS2 network simulation results validate that the proposed approach indeed provides a feasibly cost-effective approach for lifetime elongation of sensor networks.","PeriodicalId":342688,"journal":{"name":"2010 13th IEEE International Conference on Computational Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125351512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Intelligent Mode Decision Procedure for MVC Inter-view Frame MVC间视图框架的智能模式决策过程

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.31

Xingang Liu, K. Sohn, L. Yang, Wei Zhu

引用次数: 1

Gateway to Quality Living for the Elderly: Charting an Innovative Approach to Evidence-Based E-Health Technologies for Serving the Chronically Ill 老年人优质生活之门:为慢性病患者提供循证电子健康技术的创新方法

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.27

Joseph K. Tan, P. Hung, Michael Dohan, Thomas Trojer, Matthias Farwick, J. Tashiro

引用次数: 10

Emotion Sensing for Internet Chatting: A Web Mining Approach for Affective Categorization of Events 网络聊天的情感感知:一种事件情感分类的Web挖掘方法

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.44

Cheng-Yu Lu, William W. Y. Hsu, Hsin-Tsung Peng, Jen-Ming Chung, Jan-Ming Ho

{"title":"Emotion Sensing for Internet Chatting: A Web Mining Approach for Affective Categorization of Events","authors":"Cheng-Yu Lu, William W. Y. Hsu, Hsin-Tsung Peng, Jen-Ming Chung, Jan-Ming Ho","doi":"10.1109/CSE.2010.44","DOIUrl":"https://doi.org/10.1109/CSE.2010.44","url":null,"abstract":"This study proposes an emotion detection engine for real time Internet chatting applications. We adopt a Web scale text mining approach that automates the categorization of affection state of daily events. We first accumulated a huge collection of real-life entities from Web that would participate in events with a user in the chatting room. Based on the common actions between each entity and the type of the user in a chatting room session, such as boy, girl, old man and so on, each collected entity was automatically classified into different affective categories such as pleasant, provoking, grievous, and scary. During a chatting session, each sentence is first parsed using semantic roles labeling techniques to retrieve the verb and object of the event embedded in the sentence. Based on a set of manually authored emotion generation rule, the system then assigns the emotion based on the verb and the affective categories of the object. Primitive evaluations show that the precision rate of the emotion detection engine is rather satisfactory for applications that distinguish emotions of Happiness, Sadness, Anger, and Fear.","PeriodicalId":342688,"journal":{"name":"2010 13th IEEE International Conference on Computational Science and Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128376253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Parametric Control in a Region-Based Coupled MRF Model with Phase Dynamics for Coarse Image Region Segmentation 基于相位动力学的区域耦合MRF模型参数控制粗图像区域分割

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.32

Haichao Liang, K. Nakada, K. Matsuzaka, T. Morie, M. Okada

引用次数: 0

Time-Series Classification Based on Individualised Error Prediction 基于个性化误差预测的时间序列分类

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.16

Krisztián Búza, A. Nanopoulos, L. Schmidt-Thieme

{"title":"Time-Series Classification Based on Individualised Error Prediction","authors":"Krisztián Búza, A. Nanopoulos, L. Schmidt-Thieme","doi":"10.1109/CSE.2010.16","DOIUrl":"https://doi.org/10.1109/CSE.2010.16","url":null,"abstract":"Time-series classification is an active research topic in machine learning, as it finds applications in numerous domains. The k-NN classifier, based on the discrete time warping (DTW) distance, had been shown to be competitive to many state-of-the art time-series classification methods. Nevertheless, due to the complexity of time-series data sets, our investigation demonstrates that a single, global choice for k (>= 1) can become sub optimal, because each individual region of a data set may require a different k value. In this paper, we proposed a novel individualized error prediction (IEP) mechanism that considers a range of k-NN classifiers (for different k values) and uses secondary regression models that predict the error of each such classifier. This permits to perform k-NN time-series classification in a more fine grained fashion that adapts to the varying characteristics among different regions by avoiding the restriction of a single value of k. Our experimental evaluation, using a large collection of real time-series data, indicates that the proposed method is more robust and compares favorably against two examined baselines by resulting in significant reduction in the classification error.","PeriodicalId":342688,"journal":{"name":"2010 13th IEEE International Conference on Computational Science and Engineering","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125914946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

DCMTs: Supporting Dynamically Created Migratory Threads dcmt:支持动态创建迁移线程

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.63

Y. Zhu, Wu Zhang, Hai Jiang, Yu Lei, Jun-jie Peng

引用次数: 0

A Novel Martingale Approach to QoS-Aware Wireless Sensor Networks 基于鞅的qos感知无线传感器网络

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.15

D. Duran, Shichuan Ma, Yaoqing Yang, Y. Qian

引用次数: 1

Partitioning Granularity, Communication Overhead, and Adaptation in OS Services for Distributed Reconfigurable Systems on Chip 分布式可重构芯片系统操作系统服务的分区粒度、通信开销和适应性

2010 13th IEEE International Conference on Computational Science and Engineering Pub Date : 2010-12-11 DOI: 10.1109/CSE.2010.23

Sufyan Samara

引用次数: 1