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

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A Dynamics Model of Opinion Information System 意见信息系统的动态模型
Jin Du, Yanhui Du, Yiping Zhang
With the rapid development of the Internet, BBS, instant messaging, twitter, micro-blog has become an important channel for people to express their will and exchange information. With the help of the free, open and efficient network platform, opinion information can more directly, more truly reflect public opinion in all aspect of life, also become real-time mapping barometer of the social public opinion. On the other sight, the online public opinion transmit information to form a system which can be affect by many factor as the government, the traditional media, the netizens and the network media. Therefore, by the use of advanced information technology to deal with the opinion information, we analysis the related factors of relationship between them by dynamic evolution rule, and make a reasonable experiment. All of these can lay the groundwork for future scientific research.
随着互联网的快速发展,BBS、即时通讯、twitter、微博等已成为人们表达意愿、交流信息的重要渠道。借助免费、开放、高效的网络平台,舆情信息可以更直接、更真实地反映舆情在生活的方方面面,也成为社会舆情的实时测绘晴雨表。另一方面,网络舆论传播信息形成一个系统,可以受到政府、传统媒体、网民和网络媒体等多种因素的影响。因此,利用先进的信息技术对意见信息进行处理,通过动态演化规律分析意见信息之间关系的相关因素,并进行合理的实验。所有这些都可以为未来的科学研究奠定基础。
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引用次数: 1
On the Availability of Replicated Data Managed by Hierarchical Voting 分级投票管理复制数据的可用性研究
Yuuki Ueda, Hideharu Kojima, Tatsuhiro Tsuchiya
Cloud services often depend on a mechanism that provides a reliable data storage that is resilient to failures. Majority voting and hierarchical voting, an extension of majority voting, are both used to implement such a mechanism in an unreliable network. For example, Apache ZooKeeper adopts both of the two methods. This work considers the question whether or not hierarchical voting with two levels indeed improves data availability compared to majority voting. The simulation results obtained so far suggest that hierarchical voting is unlikely to increase data availability.
云服务通常依赖于一种机制,该机制提供可靠的数据存储,能够抵御故障。多数投票和分层投票是多数投票的一种扩展,它们都用于在不可靠的网络中实现这种机制。例如,Apache ZooKeeper采用了这两种方法。这项工作考虑的问题是,与多数投票相比,两级分层投票是否确实提高了数据可用性。目前得到的模拟结果表明,分层投票不太可能增加数据的可用性。
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引用次数: 3
Simulation of Fabric in 2D Virtual Scene Based on Mesh Model 基于网格模型的二维虚拟场景织物仿真
Xiaona Fan, Senlin Zhang, Zhen Fan, Zhao Chen
A fabric simulation system of 2D virtual scene is researched and implemented in this paper. The system not only simulates the folds and transformations of the scene realistically but also allows replacement and modification of fabric. The finite element mesh algorithm is used to model the virtual scene. In order to avert deformations of texture mapping, the cubic polynomial interpolation algorithm is proposed in this paper. It can overcome the low-pass characteristic of the bilinear interpolation algorithm by eliminating the jags generated from texture mapping. To make the scene simulation more stereo, this paper utilizes the intensity based fusion algorithm, which retains the original scene's intensity. The experimental results show that the two-dimensional fabric scene simulation system is accurate and realistic, and has rapid time response.
本文研究并实现了一个二维虚拟场景织物仿真系统。该系统不仅可以真实地模拟场景的折叠和变换,而且可以对织物进行更换和修改。采用有限元网格算法对虚拟场景进行建模。为了避免纹理映射的变形,本文提出了三次多项式插值算法。该算法通过消除纹理映射产生的锯齿,克服了双线性插值算法的低通特性。为了使场景模拟更加立体,本文采用了基于强度的融合算法,保留了原始场景的强度。实验结果表明,该二维织物场景仿真系统准确逼真,时间响应速度快。
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引用次数: 0
The Design and Implementation of a Mobile Learning Platform Based on Android 基于Android的移动学习平台的设计与实现
Song Wei
In order to solve the problem of mobile learning, the design and implementation of a mobile learning system based on Android operating system is introduced in this paper. Mobile learning brings us to new impressions of whenever and wherever there is a possible study through effective combination of digital learning and mobile computing technology. Mobile learning is regarded as a kind of indispensable learning tool in the future. There are many functions on the platform such as user management, course selection, course download, online tutorials and online test functions and so on. The learner can, whenever and wherever possible, learn by intelligent mobile phone, panel computers or other portable devices. Anyone can open course resources and use them in a convenient way. The platform has good operability and a very optimistic future business-wise, and it provides us a better solution for easy mobile learning.
为了解决移动学习的问题,本文介绍了一种基于Android操作系统的移动学习系统的设计与实现。移动学习通过数字学习和移动计算技术的有效结合,给我们带来了随时随地有可能学习的新印象。移动学习被认为是未来不可缺少的一种学习工具。平台上有用户管理、选课、课程下载、在线辅导、在线考试等功能。学习者可以随时随地通过智能手机、平板电脑或其他便携式设备进行学习。任何人都可以开放课程资源并以方便的方式使用它们。该平台具有良好的可操作性和非常乐观的商业前景,为我们提供了一个更好的移动轻松学习解决方案。
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引用次数: 9
The Security Testing Case Research of Protocol Implementation 协议实现安全测试用例研究
Lei Zhang, Jing An, C. You, Guangxuan Chen
As the underlying design of the security protection technology, security protocol plays an indispensable role in the protection of data storage and transmission of the network and information system. This paper analyzes the existing method for generating test cases based on the security testing research of protocol implementation according to the three key steps, formal description of the protocol model, the generation of test sequence and the description of test cases. This paper also provides the reference for the research of new method to generate test cases.
安全协议作为安全保护技术的底层设计,在保护网络和信息系统的数据存储和传输方面起着不可或缺的作用。本文在协议实现安全测试研究的基础上,根据协议模型的形式化描述、测试序列的生成和测试用例的描述三个关键步骤,对现有的测试用例生成方法进行了分析。本文也为研究生成测试用例的新方法提供了参考。
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引用次数: 0
Research on the Evidence Optimization Method Based on the Expert System 基于专家系统的证据优化方法研究
Chen Guo, Ming Huang, Xu Liang
The research purpose of this paper is hoping to quickly select the evidence center, which satisfies the object conclusion, from many uncertain observational evidences, effective position and rapid inference. So in the process of the first sampling, it is needed to establish the sample center. This paper establishes 4 collections of records, by using the threshold algorithm based on competition to reason and refine layer by layer, excluding the uncertainty disturbances, and find the optimal link existed in optimal state. The optimal link determines the selection center of evidence reasoning object, provides the core of evidence for subsequent optimization and achieves the objective of rapid position and accurate inference.
本文的研究目的是希望从众多不确定的观测证据、有效的定位和快速的推理中,快速地选择出符合客观结论的证据中心。因此,在第一次采样过程中,需要建立样本中心。本文建立了4个记录集合,采用基于竞争的阈值算法逐层进行推理和细化,排除不确定性干扰,找到存在于最优状态的最优链路。最优环节确定了证据推理对象的选择中心,为后续优化提供证据核心,达到快速定位、准确推理的目的。
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引用次数: 0
A Multi-level Grid Partition Method for Enterprises Distribution Data 企业分布数据的多级网格划分方法
Zhang Zhang, Yangyang Zhao, Lina Duan, A. Qiu, Fuhao Zhang, Kunwang Tao
In order to use enterprises' distribution data effectively and maximize their social and economic values, a multi-level grid partition method for enterprise distribution data is proposed which divides the voluminous data into reasonable size. This method uses the provinces or municipalities of nationwide as the coarsest division, then a quad-tree is constructed to partition the points of enterprises according to their locations. Each node in the quad-tree has a limit of points, when the number of points in a node beyond the limit, the node is divided into four nodes with roughly the same number of points in each quadrant. This process proceeds recursively until no node contains points more than the limit. Enterprise distribution data of Harbin is used in experiments to test the feasibility and effectiveness of this method, the results of the experiments show that the enterprises distribution data are divided rapidly and accurately to the grid, which improve the applicability of the data and the convenience of data integration.
为了有效利用企业分布数据,实现企业分布数据的社会经济价值最大化,提出了一种企业分布数据多层次网格划分方法,将海量数据划分为合理的大小。该方法以全国各省(市)为最粗划分,根据企业所在位置构造四叉树对企业点进行划分。四叉树中的每个节点都有一个点的极限,当一个节点的点的数量超过这个极限时,该节点被分成四个节点,每个象限的点的数量大致相同。这个过程递归地进行,直到没有节点包含超过限制的点。利用哈尔滨市企业分布数据进行实验,验证了该方法的可行性和有效性,实验结果表明,将企业分布数据快速准确地划分到网格中,提高了数据的适用性和数据集成的便利性。
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引用次数: 0
A Method of Computing Iceberg Cube Based on Non-antimonotonic Constraint 基于非反单调约束的冰山立方体计算方法
Yuntian Feng, Hongjun Zhang, Wenning Hao, Gang Chen
To compute iceberg cube based on non-antimonotonic constraint, we propose a modified Star-Cubing method by means of converting constraint by top-k. It uses a method of top-k to convert a constraint to an antimonotonic constraint and carries out the star-reduction in the base cuboid table, thus reduces the cost of the shared dimension pruning in Star-Cubing. Experimental results show that the method could compute iceberg cube based on non-antimonotonic constraint availably and improve the efficiency of computation method at the same time.
为了计算基于非反单调约束的冰山立方体,我们提出了一种改进的Star-Cubing方法,通过top-k转换约束。它采用top-k方法将约束转换为反单调约束,并在基长方体表中进行星约简,从而降低了星立方中共享维修剪的成本。实验结果表明,该方法可以有效地计算基于非反单调约束的冰山立方体,同时提高了计算方法的效率。
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引用次数: 0
Arc-Length Constraint-Based Surface Deformation Using Energy-Minimum Optimization 基于能量最小优化的弧长约束曲面变形
Huanyu Yang, K. Hao, Yongsheng Ding
Deformation of 3D objects is an important problem in many application domains, such as geometric modeling, computer graphics and computer-aided design. In this paper, we propose a method for deformation of 3D objects with arc-length constraints. We convert the curve into the polyline. Then we build the energy function of the polyline. Based on the minimum energy curve method, the curve on the mesh is deformed with arc-length constraints and multi-points constraints. The test results show that the proposed method has good performance. Compared to the other method, shape preserving of the curve is better. Finally, we use this method for the deformation of the 3D mannequin model.
三维物体的变形是几何建模、计算机图形学和计算机辅助设计等许多应用领域的一个重要问题。本文提出了一种具有弧长约束的三维物体变形方法。我们把曲线转换成折线。然后建立折线的能量函数。基于最小能量曲线法,采用弧长约束和多点约束对网格上的曲线进行变形。测试结果表明,该方法具有良好的性能。与其他方法相比,曲线的保形性更好。最后,将该方法应用于三维人体模型的变形分析。
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引用次数: 1
NBA All-Star Lineup Prediction Based on Neural Networks 基于神经网络的NBA全明星阵容预测
B. Ji, Ji Li
In this paper we examined the use of Neural Networks as a tool to predict the starting and reserve line up of All-Star game, in the National Basketball Association, from all the candidates. Statistics of data from season 2008-09 to 2012-13 were collected and used to train a verity of Neural Networks such as feed-forward, radial basis and generalized regression Neural Networks. Fusion of the neural networks was also examined by using AdaBoost ensemble learning algorithm. Further, we have explored which features set input to the neural network was the most useful ones for prediction. And an excellent prediction scheme was proposed to improve the forecast accuracy. By using AdaBoost and the proposed scheme, the accuracy of our prediction of the starting line up is up to 91.7%, the reserve line up 73.3%.
在本文中,我们研究了使用神经网络作为预测全明星赛首发和替补阵容的工具,从所有候选人中。收集了2008-09赛季至2012-13赛季的统计数据,并利用这些数据训练了前馈、径向基和广义回归神经网络等多种神经网络。采用AdaBoost集成学习算法检测神经网络的融合情况。此外,我们还探索了神经网络输入的哪些特征集对预测最有用。为提高预报精度,提出了一种较好的预报方案。利用AdaBoost和本文提出的方案,对起跑线的预测准确率可达91.7%,后备线的预测准确率可达73.3%。
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引用次数: 2
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2013 International Conference on Information Science and Cloud Computing Companion
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