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2009 International Conference on Computational Intelligence and Software Engineering最新文献

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Different File Systems Data Access Support on MapReduce MapReduce对不同文件系统的数据访问支持
Dadan Zeng, Zhebing Chen, Jianpu Wang, Minqi Zhou, Aoying Zhou
In this paper, the interface between MapReduce and different storage systems is proposed. MapReduce based computing platform can access various file systems by the interface without modifying the existing computing system so that to simplify the construction of distributed applications. Different file systems can be configured and get quick switch by the interface. The interface is also integrated in Hadoop to make the experiments. The results show the interface can achieve different storage systems switched at the same time the data access efficiency gets better with increasing data volume. Further experiment with larger data volume will be done and the deeper development of the interface is being taken in the computing platform of our work.
本文提出了MapReduce与不同存储系统之间的接口。基于MapReduce的计算平台可以在不修改现有计算系统的情况下,通过接口访问各种文件系统,从而简化分布式应用的构建。通过该接口可以配置不同的文件系统并快速切换。该接口也集成在Hadoop中进行实验。结果表明,该接口可以实现不同存储系统的同时切换,数据访问效率随着数据量的增加而提高。在我们工作的计算平台上,将进行更大数据量的进一步实验,并对接口进行更深入的开发。
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引用次数: 1
Research on Localization Algorithm of Mobile Nodes in Wireless Sensor Networks 无线传感器网络中移动节点定位算法研究
Bing Hu, Hongsheng Li, Sumin Liu
The localization and tracking of mobile nodes is a study focus in the application of wireless sensor networks. This paper makes a research on localization of mobile nodes in wireless sensor network and proposes a kind of mobile nodes localization algorithm based on ant colony algorithm. The novel algorithm uses distribution probability and transition probability of ant colony algorithm from one node to the other to calculate the weight coefficients of samples, and then determine the possible locations of mobile nodes. The simulation results show that using probability selection strategy to estimate the locations of nodes has lower computational complexity, higher positioning accuracy and stronger robustness. Keywords-wireless sensor networks; mobile nodes; nodes localization; ant colony algorithm.
移动节点的定位与跟踪是无线传感器网络应用中的一个研究热点。对无线传感器网络中移动节点的定位问题进行了研究,提出了一种基于蚁群算法的移动节点定位算法。该算法利用蚁群算法从一个节点到另一个节点的分布概率和转移概率来计算样本的权重系数,从而确定移动节点的可能位置。仿真结果表明,采用概率选择策略估计节点位置具有较低的计算复杂度、较高的定位精度和较强的鲁棒性。关键词:无线传感器网络;移动节点;节点定位;蚁群算法。
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引用次数: 2
A Method for Combinatorial Explosion Avoidance of AI Planner and the Application on Test Case Generation 人工智能规划器组合避爆方法及其在测试用例生成中的应用
Li Li, Da-Yong Wang, Xiangheng Shen, Ming Yang
Combinatorial explosion is a key issue that leads to failures of planning for many planners. To avoid it, we modified the planner of IPP and divided its fact file into several small parts, and the method is called goal-decompounded. We also expanded the arithmetic of IPP. The modified planner we called MF-IPP able to handle multiple fact files, which avoided the combinatorial explosion. We applied the method on the GUI test case generation. The main idea was to produce the initial test case from planner firstly, and then propose a way of solution expanding to reinforce the generation. At last, we compared the performance of the two planners, and the result showed that MF-IPP can avoid the combinatorial explosion well.
组合爆炸是导致许多规划者规划失败的关键问题。为了避免这种情况,我们对IPP的规划器进行了改进,将其事实文件分成了几个小的部分,这种方法被称为目标分解。对IPP算法进行了扩展。我们称之为MF-IPP的改进计划器能够处理多个事实文件,从而避免了组合爆炸。我们将该方法应用于GUI测试用例的生成。其主要思想是首先从规划者产生初始测试用例,然后提出一种方案扩展的方法来加强生成。最后,比较了两种规划器的性能,结果表明MF-IPP能很好地避免组合爆炸。
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引用次数: 4
A Role-Based Model for Web Services Privacy Delegation 基于角色的Web服务隐私委托模型
Linyuan Liu, Zhiqiu Huang, Dongqing Xie
Web services collaborations are highly automatic, dynamic, heterogeneous, and lack protection against corruption of the process. These characteristics impose high levels of risk on the interacting parties. In order to improve the reliability of the system, it is very necessary to make sure the privacy authorization of each service in system designing. This paper proposes a role-based web services privacy delegation model, which delegates the privacy authorization based on trust relationships of services, then it gives corresponding algorithms to check the validity of privacy delegation
Web服务协作是高度自动化的、动态的、异构的,并且缺乏对流程损坏的保护。这些特征给相互作用的各方带来了很高的风险。为了提高系统的可靠性,在系统设计中必须保证各服务的隐私授权。提出了一种基于角色的web服务隐私委托模型,该模型基于服务之间的信任关系进行隐私授权委托,并给出了相应的算法来检验隐私委托的有效性
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引用次数: 0
Deepen the Concept of CDIO and Strengthen Practice Teaching of Engineering Colleges 深化CDIO理念加强工科院校实践教学
Binbin Hao
Abstrast—Practice teaching is an important progress of training talent in engineering colleges and it is the key point whether the aim of training higher educated talents will be realized or not. This article is based on the CDIO engineering education model “learning by doing”. It makes a survey of practice teaching and analyzes the problems among Chinese engineering colleges and universities. And it also gives some measures to improve university students’ capacity of engineering practice.
摘要实践教学是工科院校人才培养的重要环节,是工科院校培养高学历人才目标能否实现的关键环节。本文以CDIO工程教育模式“边做边学”为基础。对我国工科院校实践教学现状进行了调查,分析了我国工科院校实践教学存在的问题。并提出了提高大学生工程实践能力的措施。
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引用次数: 2
Research on Modeling of Improved Process Neural Network Based on KPCA and Discrete Walsh Transform 基于KPCA和离散Walsh变换的改进过程神经网络建模研究
Wenjuan Wang, Jianxu Luo
Process Neural Network(PNN) has an important significance in solving industry modeling problems which are related to time, but long time is cost on high dimension inputs nonlinear modeling problems. A new Improved Process Neural Networks based on KPCA and Walsh (IPNN-KPW) are proposed in this paper. KPCA method and discrete Walsh transform are used to reduce process neural network's time cost. Momentum factor and self-adapting learning rate are adopted to accelerate the astringency of the network and keep down network's oscillation. The IPNN-KPW is applied to modeling of Polyacrylonitrile(PAN) average molecular weight in polymerization. The effectiveness of the algorithm is verified by the results. A higher accuracy of model is obtained with less time. Keywords-KPCA; Walsh transform; Process neural network; Modeling
过程神经网络(PNN)在解决与时间相关的工业建模问题中具有重要意义,但对于高维输入的非线性建模问题,需要花费很长的时间。提出了一种新的基于KPCA和Walsh的改进过程神经网络(IPNN-KPW)。采用KPCA方法和离散Walsh变换来降低过程神经网络的时间开销。采用动量因子和自适应学习率来加速网络的收敛性,减小网络的振荡。将IPNN-KPW应用于聚合过程中聚丙烯腈(PAN)平均分子量的建模。仿真结果验证了该算法的有效性。用较少的时间获得了较高的模型精度。Keywords-KPCA;沃尔什变换;过程神经网络;建模
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引用次数: 0
Numerical Analysis of Solid Fuel Scramjet Combustors 固体燃料超燃冲压发动机燃烧室的数值分析
Bo Sun, Xiao-song Wu, Q. Xia, W. Cai
Based on the combustor model and experimental data of Ref.2, numerical simulations of three different combustor geometries presenting three situations with solid fuel regression were conducted using FLUENT software. The combustor inlet airflow had a Mach number of 1.5, total temperature of 1270 K and total pressure of 30 atm. The HTPB fuel and a global one- step reaction mechanism were used. The results of non reacting computation reveal that the airflow velocity deceases in the majority zone of combustor with the solid fuel boundary regression. The results of reacting computation reveal that the supersonic zone in the divergent section of three cases gets larger than non reaction case. Combustion takes place in the vicinity of solid fuel wall. Combustion efficiency is in the range of 35%~45%. Specific thrust and specific impulse both decrease with fuel regression and are both lower than experimental results.
基于文献2的燃烧室模型和实验数据,利用FLUENT软件对固体燃料回归的三种不同燃烧室几何形状进行了数值模拟。燃烧室进口气流马赫数为1.5,总温度为1270 K,总压为30 atm。采用HTPB燃料和整体一步反应机理。非反应计算结果表明,随着固体燃料边界的回归,燃烧室大部分区域的气流速度减小。反应计算结果表明,三种情况下发散截面的超声速区都比非反应情况大。燃烧发生在固体燃料壁附近。燃烧效率在35%~45%之间。比推力和比冲均随燃料回归而减小,且均低于实验结果。
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引用次数: 0
Research on Triangulation Method of Object Surface with Holes in Reverse Engineering 逆向工程中带孔物体表面的三角剖分方法研究
Shaoke Chen, H. Chen
Based on the analysis of current triangulation method, a new 3D triangulation method based on boundary extension is proposed. Binning method is first applied to reduce the original point cloud into thin data, then the triangulation processes start with selected seed triangles, the triangular meshes extend outward by continuously linking the most suitable points to them along the boundary edges of the meshed area. Data points of some non- convex complex object surface such as object with interior holes can be directly triangulated without manually dividing it into several convex patches. The application results indicate that this approach is feasible and efficient in modeling of 3D point cloud.
在分析现有三角剖分方法的基础上,提出了一种基于边界扩展的三维三角剖分方法。首先采用分帧法将原始点云简化为细数据,然后从选定的种子三角形开始三角剖分,沿着网格区域的边界边缘连续连接最合适的点,将三角网格向外扩展。对于一些非凸的复杂物体表面,如有内孔的物体,可以直接对其数据点进行三角剖分,而无需人工将其划分为多个凸块。应用结果表明,该方法在三维点云建模中是可行和有效的。
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引用次数: 0
Automatic Test Task Allocation in Agent-Based Distributed Automated Testing Framework 基于agent的分布式自动化测试框架中的自动测试任务分配
Jing Gao, Yuqing Lan
In this paper, agent-based distributed automated testing framework is proposed, and for the current lack of automatic test task allocation function in distributed automated testing framework, an approach of automatic test task allocation based on the test node ability is given. The complex test task is broken down into atomic test tasks, the test tasks in the test definition file is represented using "and-or tree" and ECA rules by the testers. Test master agent automatically obtain and calculate the execution ability of test nodes, the execution ability of test nodes is the computing power and system resources which the test nodes owned, then automatically allocate the test tasks in accordance with the "and-or tree" and the ECA rules described in the test definition file. The general architecture of agent-based distributed automated testing framework is given, and the automatic test task allocation method based on the ability of the test node is elaborated. The method has been applied to the distributed automated testing framework to enhance the test automation capabilities.
本文提出了一种基于agent的分布式自动化测试框架,针对目前分布式自动化测试框架缺乏自动测试任务分配功能的问题,提出了一种基于测试节点能力的自动测试任务分配方法。复杂的测试任务被分解成原子测试任务,测试人员使用“and-or树”和ECA规则来表示测试定义文件中的测试任务。测试主代理自动获取并计算测试节点的执行能力,测试节点的执行能力是测试节点所拥有的计算能力和系统资源,然后按照测试定义文件中描述的“与或树”和ECA规则自动分配测试任务。给出了基于agent的分布式自动化测试框架的总体体系结构,阐述了基于测试节点能力的自动测试任务分配方法。该方法已应用于分布式自动化测试框架,以增强测试自动化能力。
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引用次数: 5
Model Bootstrapping for Auto-Diagnosis of Enterprise Systems 面向企业系统自动诊断的模型自举
B. Gaudin, P. Nixon, Keith Bines, Fulvio Busacca, N. Casey
Models for fault diagnosis can help reduce the time taken to accurately identify faults, but the complexity of modern enterprise systems means that the process of manually model-building is itself very time-consuming. We study here the relevance of bootstrapping a diagnostic model that can then be manually refined and augmented by domain experts. We present an approach to model construction, developed by analyzing log traces from a real data center. We compare the automaticallybootstrapped model against a manually-constructed reference model for the same problem set in order to measure what amount of the model can be automatically built. An experiment with an Oracle Enterprise System shows that approximately 15% of the model, diagnosing 30% of the related issues, can be automatically built. keywords: System Diagnostics, Enterprise Systems, Machine Learning.
用于故障诊断的模型可以帮助减少准确识别故障所花费的时间,但是现代企业系统的复杂性意味着手工构建模型的过程本身非常耗时。我们在这里研究了一个诊断模型的相关性,该模型可以由领域专家手动改进和增强。我们提出了一种通过分析真实数据中心的日志痕迹来构建模型的方法。我们将同一问题集的自动引导模型与手动构建的参考模型进行比较,以衡量模型可以自动构建的数量。在Oracle企业系统上的实验表明,大约15%的模型可以自动构建,诊断30%的相关问题。关键词:系统诊断,企业系统,机器学习。
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引用次数: 2
期刊
2009 International Conference on Computational Intelligence and Software Engineering
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