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2009 Fourth International Conference on Internet Computing for Science and Engineering最新文献

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Fast Variants of the Backward-Oracle-Marching Algorithm 反向oracle前进算法的快速变体
Hongbo Fan, Nianmin Yao, Haifeng Ma
This study focuses on the faster exact single pattern string matching algorithms. In all solutions, two variants of BOM, EBOM and FBOM are very efficient. We improved them and presented two algorithms named Simplified-EBOM and Simplified-FBOM through removing the unnecessary branches and accomplishing the core calculation of the algorithm in a 1-dimensional array. The experimental results indicated that Simplified-EBOM is fast for short patterns and it is 12% faster than its basis algorithm on average.
本文主要研究快速精确的单模式字符串匹配算法。在所有的解决方案中,EBOM和FBOM这两种BOM变体都是非常高效的。对其进行改进,通过去除不必要的分支,在一维数组中完成算法的核心计算,提出了简化ebom和简化fbom两种算法。实验结果表明,简化ebom算法对短模式的识别速度较快,平均比基本算法快12%。
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引用次数: 13
A Parallel 2D/3D Aero-acoustics Numerical Algorithm and Implementation 二维/三维气动声学并行数值算法及实现
P. Ming, Minggang Zhu, Peng Hou, Wenping Zhang
This article introduces a numerical scheme to simulate aero acoustics propagation. The wave equation is discrete spatially with collocated finite volume method and Eulerian implicit method in time domain. The performance of the PC is greatly developed, so as expected the network can provide great computational capability. Based on this point, we developed a data structure system and parallel code. Two simple test cases have been done with the program and reasonable results were obtained.
本文介绍了一种模拟气动声学传播的数值方法。波动方程在空间上是离散的,在时域上采用有限体积法和欧拉隐式法。PC机的性能得到了很大的发展,因此网络可以提供巨大的计算能力。基于这一点,我们开发了一个数据结构系统和并行代码。用该程序完成了两个简单的测试用例,得到了合理的结果。
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引用次数: 0
Access Model of Web Users Based on Multi-chains Hidden Markov Models 基于多链隐马尔可夫模型的Web用户访问模型
K. Zheng, Yixian Yang, Xiujuan Wang, Shize Guo
How to distinguish abnormal access from normal ones is the key problem in Distribution Denial of service(DDoS) attack detection. This research aims at finding out the major difference between the abnormal access and the normal ones in application layer. To this end, the paper conducts modeling on Web users’ access behaviors based on hidden Markov model(HMM) with multiple chains and puts forward a method to identify abnormal access. Tests on simulation data indicate that this model can undo Web users access to a certain degree and discern the abnormal access well.
如何区分异常访问和正常访问是分布式拒绝服务(DDoS)攻击检测中的关键问题。本研究旨在找出应用层异常访问与正常访问的主要区别。为此,本文基于多链隐马尔可夫模型(HMM)对Web用户的访问行为进行建模,并提出了一种异常访问识别方法。仿真数据测试表明,该模型能在一定程度上撤销Web用户的访问,并能很好地识别异常访问。
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引用次数: 0
A Trust Model Based on Subjective Logic 基于主观逻辑的信任模型
Wei Gao, Guoyin Zhang, Wei Chen, Yanmei Li
In order to resolve the trust problem due to the opening, the dynamics, the anonymity and uncertainty of p2p system, this paper proposes a new p2p trust model by analyzing and improving the subjective logic, a new trust quantification formula with the negative events effect and the time effect is given, and a definition of risk is also presented, By doing this, we can evaluate the trust relationships between peers more precisely and prevent the hidden security dangers of cooperative cheat and slander more effectively, thus can resolve security problems exist in p2p environment more effectively.
为了解决p2p系统开放性、动态性、匿名性和不确定性所带来的信任问题,通过对主观逻辑的分析和改进,提出了一种新的p2p信任模型,给出了考虑负事件效应和时间效应的新的信任量化公式,并给出了风险的定义。我们可以更精确地评估对等体之间的信任关系,更有效地防范合作欺骗和诽谤等安全隐患,从而更有效地解决p2p环境中存在的安全问题。
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引用次数: 12
Apply SOM to Video Artificial Text Area Detection 将SOM应用于视频人工文本区域检测
Jia Yu, Yan Wang
Video artificial text detection is a challenging problem of pattern recognition. Current methods which are usually based on edge, texture, connected domain, feature or learning are always limited by size, location, language of artificial text in video. To solve the problems mentioned above, this paper applied SOM (Self-Organizing Map) based on supervised learning to video artificial text detection. First, text features were extracted. And considering the video artificial text's limitations mentioned, artificial text’s location and gradient of each pixel were used as the features which were used to classify. Then three layers supervised SOM was proposed to classify the text and non-text areas in video image. At last, the morphologic operating was used to get a much more accurate result of text area. Experiments showed that this method could locate and detect artificial text area in video efficiently.
视频人工文本检测是模式识别领域一个具有挑战性的问题。现有的基于边缘、纹理、连通域、特征或学习的人工文本识别方法往往受到视频人工文本的大小、位置、语言等因素的限制。为了解决上述问题,本文将基于监督学习的自组织地图(SOM)应用于视频人工文本检测。首先,提取文本特征。并考虑到上述视频人工文本的局限性,采用人工文本的位置和每个像素的梯度作为特征进行分类。然后提出了三层监督SOM对视频图像中的文本和非文本区域进行分类。最后,利用形态学运算得到了更准确的文本区域结果。实验表明,该方法可以有效地定位和检测视频中的人工文本区域。
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引用次数: 12
CasAB: Building Precise Bitmap Indices via Cascaded Bloom Filters CasAB:通过级联布隆过滤器构建精确的位图索引
Zhuo Wang
Bitmap indices are widely used in massive and read-mostly datasets such as data warehouses and scientific databases. Recently, Bloom filters were used to encode bitmap indices into approximate bitmaps(AB). The salient advantage of this technique is that bitmaps can be directly accessed without decompression, and the query time is proportional in the size of the region being queried. This technique, however, introduces false positives due to the nature of Bloom filters, therefore, only approximate query results can be achieved. To eliminate false positives, we proposed a novel bitmap index encoding scheme, namely cascaded approximate bitmaps(CasAB) based on multi-level Bloom filter cascading, which can achieve precise query results at the cost of slightly more space and time overhead. An efficient CasAB construction algorithm and a query algorithm are given. Space and time complexities of CasAB are analyzed theoretically, and the minimum space size can be pre-computed based on the cardinality of the attribute. Experiments show that the query precision of CasAB is always 100% and space and time overhead is similar to that of AB.
位图索引广泛应用于数据仓库、科学数据库等海量数据集中。近年来,利用布隆滤波器将位图索引编码为近似位图(AB)。该技术的显著优点是可以直接访问位图而无需解压缩,并且查询时间与查询区域的大小成正比。然而,由于Bloom过滤器的性质,这种技术引入了误报,因此只能获得近似的查询结果。为了消除误报,我们提出了一种新的位图索引编码方案,即基于多级Bloom滤波器级联的级联近似位图(CasAB),该方案可以以略多的空间和时间开销为代价获得精确的查询结果。给出了一种高效的CasAB构造算法和查询算法。从理论上分析了CasAB的空间复杂度和时间复杂度,并根据属性的基数预先计算出最小空间大小。实验表明,CasAB的查询精度始终为100%,空间和时间开销与AB相似。
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引用次数: 2
An Efficient Mesh Simplification Algorithm 一种高效的网格简化算法
Hailing Wang, Guisheng Yin, Jing Zhang, Decai Wang, Jian Wang
This paper presents a new mesh simplification algorithm based on edge collapse, it combines surface curvature and quadric error metric, the position of a new vertex for edge collapse depends on multiple-weighted approach. The new algorithm can improve simplification rationality in procedure and preserve important features after simplification. In an addition, we do some experiments with comparing different simplified models, the results show that the new algorithm not only maintains the overall appearance for models, but also obtains better effectiveness.
提出了一种新的基于边缘塌陷的网格简化算法,该算法将曲面曲率与二次误差度量相结合,边缘塌陷的新顶点位置依赖于多重加权方法。新算法可以提高简化过程的合理性,并保留简化后的重要特征。此外,我们还对不同简化模型进行了对比实验,结果表明,新算法不仅保持了模型的整体外观,而且获得了更好的效果。
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引用次数: 5
Spatial Ontology Instantiation for Text-to-Scene Conversion System 文本到场景转换系统的空间本体实例化
Hanjing Li, X. Xue, Sheng Li, T. Zhao
Spatial concepts conversion in text-to-scene conversion system is one of the essential tasks. This paper provides a hybrid method to instantiate spatial concepts. The hybrid method is on clustering, cognition and rules. The spatial ontology with instantiation by the method is tested in the experiment of object display for natural language, and gets a good result.
空间概念转换是文本-场景转换系统的核心任务之一。本文提供了一种空间概念实例化的混合方法。混合方法是基于聚类、认知和规则的。将该方法实例化的空间本体在自然语言对象显示实验中进行了测试,取得了良好的效果。
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引用次数: 0
Evaluation Model of Software Cost Estimation Methods Based on Fuzzy-Grey Theory 基于模糊灰色理论的软件成本估算方法评价模型
Bingzi Zhang, Rubo Zhang
Correct software cost estimation is important in software engineering. So it is significant to reasonably evaluate current lots of software cost estimation methods and subsequently select the most suitable one. The evaluation framework of software cost estimation methods is brought forward. The framework summarizes all aspects that should be considered by estimation methods. Fuzzy-Grey comprehensive evaluation method which combines fuzzy evaluation and grey theory is used in the evaluation model of software cost estimation methods. It can make full use of fuzziness and grayness of evaluation information by experts which makes the evaluation more objective and accurate. Eventually, through an example the evaluation model is proved to be useful and feasible in software development project practice.
正确的软件成本估算在软件工程中非常重要。因此,合理评价现有的多种软件成本估算方法,选择最合适的方法具有重要的意义。提出了软件成本估算方法的评估框架。该框架总结了评估方法应该考虑的所有方面。将模糊评价与灰色理论相结合的模糊-灰色综合评价方法应用于软件成本估算方法的评价模型中。它可以充分利用专家评价信息的模糊性和灰色性,使评价更加客观准确。最后,通过实例验证了该评价模型在软件开发项目实践中的实用性和可行性。
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引用次数: 6
General Tendencies in Segmentation of Medical Ultrasound Images 医学超声图像分割的一般趋势
Changming Zhu, Jun Ni, Yan-bo Li, Guochang Gu
Image segmentation plays an important role in both qualitative and quantitative analysis of medical ultrasound images. But the performance of the classical image-segmentation techniques degrades severely when they are applied to segment medical ultrasound images, for medical ultrasound images have features of poor contrast and strong speckle noise. Firstly, this article investigates and compiles some of the techniques mostly used in the segmentation of medical ultrasound images. Then a bibliographical survey of current research of medical ultrasound images segmentation is given in this paper. Finally, the general tendencies of medical ultrasound images segmentation are presented.
图像分割在医学超声图像的定性和定量分析中都起着重要的作用。但由于医学超声图像对比度差、散斑噪声强等特点,传统的图像分割技术在对医学超声图像进行分割时,其性能严重下降。本文首先对医学超声图像分割中常用的几种技术进行了研究和整理。然后对医学超声图像分割的研究现状进行了文献综述。最后,介绍了医学超声图像分割的一般趋势。
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引用次数: 30
期刊
2009 Fourth International Conference on Internet Computing for Science and Engineering
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