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2013 International Conference on Information Science and Cloud Computing Companion最新文献

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An Algorithm for Delay-Reliability in Communication Networks Based on Probabilistic User Equilibrium Model 基于概率用户均衡模型的通信网络时延可靠性算法
Zhao Liu, N. Huang, Dongpeng Li
In order to make a better performance analysis and reliability evaluation of communication networks, a new definition of Delay-Reliability in communication networks, an algorithm to calculate approximate solutions of the Delay-Reliability in communication networks and a delay failure model in communication networks are presented in this paper. Inspired by the road resistance function in transportation networks, we analyze the similarities and differences between communication networks and transportation networks, and use OPNET simulation to build a new delay failure model in communication networks. Based on probabilistic user equilibrium model and our delay failure model, in stochastic-flow networks, we use discrete random variables to characterize delay in a single link and the link's degraded conditions to propose a new definition of Delay-Reliability in communication networks and its corresponding approximate algorithm. The approximate algorithm is especially useful and practical in large scale backbone network engineering due to its major computational advantage. For illustration, an example is given to show that our definition, algorithm and delay failure model can make a reasonable performance analysis and reliability evaluation of communication networks.
为了更好地对通信网络进行性能分析和可靠性评估,本文提出了通信网络时延可靠性的新定义、通信网络时延可靠性近似解的计算算法和通信网络时延失效模型。受交通网络中道路阻力函数的启发,分析了通信网络与交通网络的异同,利用OPNET仿真建立了新的通信网络延迟失效模型。基于概率用户均衡模型和我们的延迟失效模型,在随机流网络中,利用离散随机变量来表征单链路的延迟和链路的退化情况,提出了通信网络中延迟可靠性的新定义及其近似算法。该近似算法在大规模骨干网工程中具有重要的计算优势。通过实例说明,我们的定义、算法和延迟失效模型能够合理地对通信网络进行性能分析和可靠性评估。
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引用次数: 3
Driver's Seat Belt Detection in Crossroad Based on Gradient Orientation 基于梯度定向的十字路口驾驶员安全带检测
Dian Yu, Hong Zheng, Cao Liu
Seat belt detection is one of the important detecting functions and is widely needed in the field of intelligent transportation system. However, research for which is still limited in terms of the increasing requirements at present. In this paper, one algorithm for detecting vehicle seat belts on road is proposed. And according to the method discussed in this paper, a type of feature based on gradient orientation is employed to describe and detect seat belts. After the image pre-processing, the front window location and the human face detecting, this feature is finally extracted in the selected region and the conclusion is given by counting the seat belt feature in the area which close to the right side of the detected human face area. Another approach is also designed in case that the human face detection fails. Tests on high-definition vehicle images show that the proposed algorithm is capable of extracting belt-feature under difference circumstances and is also effective to tell whether the driver has fastened its seat belt.
安全带检测是智能交通系统中重要的检测功能之一,在智能交通系统中有着广泛的应用需求。然而,目前对其的研究还很有限,要求越来越高。本文提出了一种道路车辆安全带检测算法。根据本文所讨论的方法,采用一种基于梯度方向的特征来描述和检测安全带。经过图像预处理、前窗定位和人脸检测,最终在选定区域中提取出该特征,并通过对被检测人脸区域右侧附近区域的安全带特征进行计数得出结论。在人脸检测失败的情况下,还设计了另一种方法。在高清晰度车辆图像上的测试表明,该算法能够在不同情况下提取安全带特征,并能有效判断驾驶员是否系好安全带。
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引用次数: 7
A Lifecycle Analysis of the Revision Behavior of Featured Articles on Wikipedia 维基百科专题文章修订行为的生命周期分析
Xinyi Li, Zhunchen Luo, Kunyuan Pang, Ting Wang
Wikipedia is the largest online encyclopedia. Its openness allows anyone to edit an article, making articles vary greatly in quality. As only a small proportion of articles are assessed manually, the automatic evaluation of quality has become a highly active research field. Among the factors that affect quality, revision action is the direct factor. In this paper, we conduct a lifecycle analysis of the revision action of featured articles-the best work on Wikipedia, to find out the revision behavior patterns. Using a fine-grained approach, we parse revision actions into insert, delete and replace actions to study their performance in different phases of the lifecycle. Our results reveal that featured articles have distinct revision behavior over different phases. The contribution of the research is to show the correlation between revision behavior and the evolution of quality, which can help us understand what is behind the evolution of articles and can be used to assist quality evaluation.
维基百科是最大的在线百科全书。它的开放性让任何人都可以编辑文章,使得文章的质量参差不齐。由于人工评价文章的比例很小,质量自动评价已成为一个非常活跃的研究领域。在影响质量的因素中,修改行为是直接的因素。本文对维基百科精品文章的改版行为进行了生命周期分析,以找出其改版行为模式。使用细粒度的方法,我们将修订操作解析为插入、删除和替换操作,以研究它们在生命周期不同阶段的性能。我们的研究结果表明,特色文章在不同阶段有不同的修改行为。本研究的贡献在于揭示了修改行为与文章质量演变的相关性,有助于我们了解文章演变背后的原因,并可用于辅助质量评价。
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引用次数: 6
Optimal Web Service Composition Based on Context-Awareness and Genetic Algorithm 基于上下文感知和遗传算法的Web服务组合优化
Yuan Yuan, Xiuguo Zhang, Wenxi Sun, Zhiying Cao, Hao Wang
This paper presents a Web service composition method which supports the associations of services in order to improve the success rate of Web service composition and the quality of the composite service. Firstly, a context-aware web service composition model is built and this paper introduces the concept of service-correlation matrix which means presenting the context of service components in the form of matrix and dynamically updating the matrix with context-awareness technology. Secondly, this paper introduces genetic algorithm into web service composition. Experimental results indicate that the method in this paper effectively reduces the deviation between the theoretical value and the practical value of the context properties of the composite web services which are significantly associated with others.
为了提高Web服务组合的成功率和组合服务的质量,提出了一种支持服务关联的Web服务组合方法。首先,建立了上下文感知的web服务组合模型,引入了服务关联矩阵的概念,将服务组件的上下文以矩阵的形式表示出来,并利用上下文感知技术对矩阵进行动态更新。其次,将遗传算法引入到web服务组合中。实验结果表明,本文方法有效地降低了具有显著相关性的复合web服务的上下文属性理论值与实际值之间的偏差。
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引用次数: 8
An Energy-Saving Virtual-Machine Scheduling Algorithm of Cloud Computing System 云计算系统中一种节能的虚拟机调度算法
Kehe Wu, R. Du, Long Chen, Su Yan
Even virtual machines has been widely used as the unit to allocate the processor time or storage spaces by the providers of Cloud Computing systems, the energy consumption pattern of virtual machines in Cloud Computing system is not clear enough yet now. In this paper, we built an energy consumption model of the Cloud Computing system, by using statistical method we can estimate the energy consumption of a virtual machine in a small range of errors in 3%-6%. Then, based on the model, we proposed a virtual machine scheduling algorithm to improve the energy efficiency of the system. First, we set a threshold value of energy consumption for each server in the system, and by analyzing these work plans submitted by each virtual machine, we tested whether the threshold will been exceeded or not. Then, by migrate one/several chosen virtual machines to other physical servers in the system we can reduce the energy consumption of the whole system. Our evaluation shows that the proposed scheduling algorithm can effectively implement energy-saving goals without significant decline of the Quality of Services.
即使虚拟机作为分配处理器时间或存储空间的单元已被云计算系统提供商广泛使用,但目前云计算系统中虚拟机的能耗模式还不够清晰。在本文中,我们建立了云计算系统的能耗模型,通过统计方法可以在3%-6%的小误差范围内估计出虚拟机的能耗。在此基础上,提出了一种虚拟机调度算法,以提高系统的能效。首先,我们为系统中的每台服务器设置一个能耗阈值,通过分析每个虚拟机提交的这些工作计划,测试是否会超过阈值。然后,通过将一个或多个选定的虚拟机迁移到系统中的其他物理服务器上,可以降低整个系统的能耗。我们的评估表明,所提出的调度算法可以有效地实现节能目标,而不会显著降低服务质量。
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引用次数: 6
Study on E-Commerce Service Supply Chain Coordination Based on Contract Theory 基于契约理论的电子商务服务供应链协调研究
Fatao Wang
In order to solve e-tailing service integrator's goods and logistics service coordination problem, this paper designs a supply chain model which consists of a product supplier, an e-retailer and a logistics service provider. The purpose of this model is to analyze the effectiveness of three types of supply chain contracts within the e-commerce logistics service supply chain. This article will analyze wholesale price contracts, revenue sharing contracts and quantity flexibility contracts. The models under three types of contracts are constructed to analyze the optimal decisions. In addition, the article will explain why managers in the e-commerce industry should adopt these supply chain contract approaches to increase revenues. The models described in the study could be seamlessly utilized by e-retailers and logistics service providers to maximize their revenues and profits. The results show that this model can coordinate the e-commerce logistics service supply chain by adjusting contract parameters and improve the profits of the members.
为了解决电子零售服务集成商的商品与物流服务协调问题,本文设计了一个由产品供应商、电子零售商和物流服务商组成的供应链模型。该模型的目的是分析电子商务物流服务供应链中三种类型的供应链合同的有效性。本文将对批发价格合同、收益分成合同和数量弹性合同进行分析。构造了三种契约下的模型来分析最优决策。此外,本文将解释为什么电子商务行业的管理者应该采用这些供应链合同方法来增加收入。研究中描述的模型可以被电子零售商和物流服务提供商无缝地利用,以最大化他们的收入和利润。结果表明,该模型可以通过调整合同参数来协调电子商务物流服务供应链,提高成员的利润。
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引用次数: 3
A Model of Visual Attention for Natural Image Retrieval 自然图像检索中的视觉注意模型
Guanghai Liu, D. Fan
In this paper, saliency textons model is proposed to encode color, orientation and saliency cue and spatial information as image features for CBIR, where the image representation is so called saliency textons histogram. Experimental results indicate that the performances of saliency textons histogram outperform Gabor filter and multi-text on histogram. The saliency textons histogram can combine color feature, edge feature and spatial layout together. Furthermore, saliency textons model can simulate visual attention mechanism.
本文提出了显著性文本模型,将颜色、方向、显著性线索和空间信息编码为CBIR的图像特征,其中图像表示称为显著性文本直方图。实验结果表明,显著性文本直方图的性能优于Gabor滤波和多文本直方图。显著性文本直方图可以将颜色特征、边缘特征和空间布局结合在一起。此外,显著性文本模型可以模拟视觉注意机制。
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引用次数: 40
Implementation of Resource Management System Based on Open Source Computing Platform Eucalyptus 基于开源计算平台Eucalyptus的资源管理系统实现
Jian-min He, Weijie Cao, Rui Min
In order to improve the efficiency and convenience of resource management in cloud computing, the mechanisms of virtual machine deployment and the model of resource management are discussed in this paper. By analyzing the architecture of IaaS cloud computing platform and the mechanisms of resource management in cloud computing, the authors develop a cloud computing resource management system (CCRMS) based on open source software Eucalyptus and Xen, to meet the needs of users to create three kinds of different system images: Linux virtual desktop image, Web service image and database service image. The created images are tested in the experimental environment and the testing results show that the CCRMS is able to effectively manage the resources and improve the efficiency of management in cloud computing.
为了提高云计算中资源管理的效率和便利性,本文讨论了虚拟机部署机制和资源管理模型。在分析IaaS云计算平台架构和云计算中资源管理机制的基础上,基于开源软件Eucalyptus和Xen开发了云计算资源管理系统(CCRMS),满足用户创建Linux虚拟桌面映像、Web服务映像和数据库服务映像三种不同系统映像的需求。在实验环境中对创建的映像进行了测试,测试结果表明CCRMS能够有效地管理云计算中的资源,提高管理效率。
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引用次数: 0
Study on Prediction System for Disaster of Water-Inrush from Coal Floor 煤矿底板突水灾害预测系统研究
Demin Liu, Huiqing Lian, Fei Li, L. Gao
Mine hydrogeology conditions are very complex in china, especially in North China type coal mine. When the coal is being mined, it is seriously threatened by Ordovician karst water with high pressure. Water inrush accidents often happen in North China type coal mine which has become an important factor affecting the safety in production of the coal mine. Taking Dong Shan coal mine as an example, the paper analyzed the principle of water-inrush from coal floor of the mine by summarizing the mine water inrush in the coal mine. Early-warning indexes of water inrush which include water temperature, water pressure, stress and strain were built. Structure of prediction system for water-inrush disaster was designed, and the hardware and software of the system were developed. Industrial test for the prediction system was done in 51523 Faces. Practice shows that the prediction system can monitor early-warning indexes of water inrush in real time, and as well to distinguish the mine water inrush risk which can provide the foresight of the information for preventing water inrush disaster.
中国矿井水文地质条件十分复杂,特别是华北型煤矿。煤在开采过程中,受到奥陶系高压岩溶水的严重威胁。华北型煤矿突水事故时有发生,已成为影响煤矿安全生产的重要因素。本文以东山煤矿为例,通过对矿井突水情况的总结,分析了矿井底板突水的原理。建立了水温、水压、应力应变等突水预警指标。设计了突水灾害预测系统的结构,开发了系统的硬件和软件。预测系统在51523 Faces进行了工业测试。实践表明,该预测系统能够实时监测矿井突水预警指标,并对矿井突水风险进行识别,为矿井突水灾害的防治提供信息预见性。
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引用次数: 0
Collaborative Filtering Recommendation Algorithm Based on Users of Maximum Similar Clique 基于最大相似团用户的协同过滤推荐算法
Zhaoyang Zhou, Y. He
In order to improve the performance of Collaborative filtering (CF), a new method of producing the nearest neighbor for active user is proposed in this paper. Inspired by the conformist of E-commerce consumers, we build the user model of maximum similar clique and we use it to improve the method of producing the nearest neighbors for target users. A collaborative filtering recommendation algorithm MCQ-CF based on user model is present. The experiment results show that the algorithm MCQ-CF has good performance for accuracy and stability.
为了提高协同过滤(CF)的性能,本文提出了一种针对活跃用户产生最近邻的新方法。受电子商务消费者从众性的启发,建立了最大相似团的用户模型,并利用该模型改进了目标用户最近邻的生成方法。提出了一种基于用户模型的协同过滤推荐算法MCQ-CF。实验结果表明,该算法具有良好的精度和稳定性。
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引用次数: 2
期刊
2013 International Conference on Information Science and Cloud Computing Companion
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