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2009 Second International Workshop on Knowledge Discovery and Data Mining最新文献

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The Application of RBF Neural Network on Construction Cost Forecasting RBF神经网络在工程造价预测中的应用
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.53
Zhigang Ji, Yajing Li
In construction cost forecasting system, a great many uncertain factors effect the cost decision-making, so it is difficult to do effective forecasting by using traditional methods such as time series approach, regression analysis. In this paper, a nonlinear model based on RBF Neural Network is presented. There are some ameliorated measures in leaning algorithm of Radial Basis Function (RBF) neural network. The number and the centric value of hidden layer are determined by using immune algorithm. The supervisory algorithm is taken as method of adjustable weight of output layer. Using above measures, the network is optimized, and the forecast model obtains the precise and objective solution. The construction cost forecasting model based on RBF neural network, realized the classification, analysed and forecasted the construction cost and realized the intellectualized management of congstruction project., which also provide the construction manager with better decision-making basis. After considering a number of uncertain factors, the result is more accrurate. Moreover, the result of the experiment had indicated that the validity and superiority of the method of RBF neural network, comparing to artificial neural network (Back Propagation, BP). So it has broad application prospect in other fields.
在工程造价预测系统中,影响造价决策的不确定因素较多,传统的时间序列法、回归分析等方法难以进行有效的预测。本文提出了一种基于RBF神经网络的非线性模型。径向基函数(RBF)神经网络的学习算法有一些改进措施。利用免疫算法确定隐层的个数和中心值。采用监督算法作为输出层权值可调的方法。利用上述措施对网络进行了优化,预测模型得到了精确、客观的解。基于RBF神经网络的工程造价预测模型,实现了工程造价的分类、分析和预测,实现了工程造价的智能化管理。,也为施工管理者提供了更好的决策依据。在考虑了许多不确定因素后,所得结果更为准确。与人工神经网络(BP, Back Propagation)相比,实验结果表明了RBF神经网络方法的有效性和优越性。因此在其他领域具有广阔的应用前景。
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引用次数: 4
Promoting Data Mining Methodologies by Architecture-Level Optimizations 通过架构级优化促进数据挖掘方法
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.52
Xin-Jing Ge, E. Ding, Hongxia Xie
This paper presents a new theoretical data mining framework that adapts the existing data mining systems with the architecture of the Knowledge Grid, the mechanism of the ontologies, and the factor of the human-driven knowledge. Aiming at much of the research to date focusing on the technique and algorithms, the new framework describes the essential factors from systemic and technical viewpoints respectively in order to balance the effect between the two aspects.
本文提出了一种新的理论数据挖掘框架,该框架采用知识网格的体系结构、本体的机制和人驱动的知识因素来适应现有的数据挖掘系统。针对目前大部分研究都集中在技术和算法上,新框架分别从系统和技术角度描述了关键因素,以平衡两者之间的影响。
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引用次数: 0
Research on Edge Tracing Based on Scan-Line Algorithm 基于扫描线算法的边缘跟踪研究
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.86
Weihua Wang
automated vehicle recognition is of great importance today in Intelligent Transportation Systems. In the process of the feature extraction of vehicle recognition system, the edge vector must be extracted first. However, there are many regions in an image, and it is difficult to extract the edge vectors of the regions of the image. Therefore a novel edge tracing method based on scan-line of image for vehicle recognition tasks is proposed. In particular, all of the edge vectors are extracted from the regions of the image at the same time. Experimental results are presented that show a short time in computation can be achieved.
自动车辆识别在当今的智能交通系统中非常重要。在车辆识别系统的特征提取过程中,首先要提取边缘向量。然而,图像中存在许多区域,很难提取图像区域的边缘向量。为此,提出了一种基于图像扫描线的车辆识别边缘跟踪方法。特别是,所有的边缘向量都是同时从图像的区域中提取出来的。实验结果表明,该方法可以在较短的时间内完成计算。
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引用次数: 4
A Multi Agent Architecture Based on PGN-AO Model 基于PGN-AO模型的多智能体体系结构
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.55
Jun Hu, Shengye Huang, J. Umugwaneza
In current research of Agent, Agent architecture is an important topic. Architecture of multi-agent system had been proposed to explain the relationship among the policy control layer, the self-control and behavior constraint layer, the organizational management layer and the middle connection layer.  In policy control layer, we design two kinds of organizations, and a set of behavior rules, which can be seemed as the higher command of the self-control and behavior constraint layer. In self-control and behavior constraint layer, we implement policy driven autonomic agent model, to map regulation into agent’s behavior. Finally, the middle connection layer is used for connecting the above two layers.
在当前的Agent研究中,Agent体系结构是一个重要的研究课题。提出了多智能体系统的体系结构来解释策略控制层、自我控制和行为约束层、组织管理层和中间连接层之间的关系。在策略控制层,我们设计了两种组织,并设计了一套行为规则,这可以看作是自我控制和行为约束层的高级命令。在自我控制和行为约束层,我们实现了策略驱动的自主代理模型,将规则映射到代理的行为中。最后,中间连接层用于连接以上两层。
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引用次数: 1
A Self-adaptive Genetic Algorithm Based on Region Balance Variation 一种基于区域平衡变化的自适应遗传算法
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.167
Siyan Wang, Guoli Zhang
Proposing a new algorithm which is simple but effective. Using characteristic of biological evolution and common sense to design the selection operator, improve the variation method of the crossover probability and the mutation probability. Numerical experiments show that the new algorithm is more effective than the comparative algorithm in realizing the high convergence speed, convergence precision, reducing the convergence generation and good at keeping the stability of the adaptive genetic algorithm.
提出了一种简单有效的新算法。利用生物进化特征和常识设计选择算子,改进交叉概率和突变概率的变异方法。数值实验表明,新算法在实现自适应遗传算法的高收敛速度、收敛精度、减少收敛生成和保持其稳定性方面比比较算法更有效。
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引用次数: 2
Modeling and Simulation of Container Terminal Logistics System 集装箱码头物流系统建模与仿真
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.57
Li Li, Xiaodong Wang
The modeling and simulation of container terminal logistics system is rapidly developed and widely applied. This paper describes three parts of the modeling and simulation of container terminal logistics system, which includes Logistics system modeling technology, Verification Validation and Accreditation and screening test, and then the research approach and target, the primary coverage and the key problem is given after summarized and selected. This study is devoted to determine the key problems and the best solutions in the process of modeling and simulation, which contributes to reduce the difference between the simulation and reality system and increase the capacity and efficiency of container terminal logistics system.
集装箱码头物流系统的建模与仿真得到了迅速的发展和广泛的应用。本文介绍了集装箱码头物流系统建模与仿真的三个部分,即物流系统建模技术、验证验证与认可和筛选测试,然后对研究方法和目标、主要内容和关键问题进行了总结和选择。本研究致力于确定建模和仿真过程中的关键问题和最佳解决方案,有助于减少仿真系统与现实系统的差异,提高集装箱码头物流系统的容量和效率。
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引用次数: 0
Development and Research of HVDC Light System Based on DSP 基于DSP的高压直流照明系统的开发与研究
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.164
Yanping Gao, Xianqiang Lv, Xianjiu Guo
After entering the 1990s, a new metal oxide semiconductor device-- insulated gate bipolar transistor (IGBT) was first widely used in the industrial driving device. The voltage source converter using IGBT has the ability to turn off current and it can also carry out passive inversion by using pulse width modulation (PWM) technology, which solves the problem of DC transmission to load points without AC supply. Because of strong function and small volume of this converter, it can reduce filtering devices in converter stations, omit converter transformers and simplify the structure of converter station, it is called HVDC light. This paper emphasizes the control technology of HVDC Light system based on VSC core research and designs the experimental system of HVDC Light, including overall design, parameter configuration of main circuit and software and hardware implementation schemes, etc; among these, converter is simulated by IGBT intelligent power module (IPM) and the control algorithm of the system is realized by DSP TMS320F2812A.
进入20世纪90年代后,一种新型金属氧化物半导体器件——绝缘栅双极晶体管(IGBT)首次在工业驱动器件中得到广泛应用。采用IGBT的电压源变换器具有关断电流的能力,也可以通过脉宽调制(PWM)技术实现无源逆变,解决了直流向负载点无交流供电的问题。由于该变流器功能强大,体积小,可以减少换流站的滤波装置,省去换流变压器,简化换流站的结构,被称为高压直流轻型变流器。本文重点研究了基于VSC核心的高压直流照明系统控制技术,设计了高压直流照明实验系统,包括总体设计、主电路参数配置、软硬件实现方案等;其中,变频器采用IGBT智能功率模块(IPM)进行仿真,系统控制算法采用DSP TMS320F2812A实现。
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引用次数: 1
Predictable Real-Time Java Profile Based on RTSJ 基于RTSJ的可预测实时Java配置文件
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.63
Yong-xian Jin
Based on the analysis of limitations of existing Real Time Specification for Java (RTSJ) and Java developing model, we have designed a predictable real time Java developing profile  which can be used to develop embedded high-reliability real-time systems. The profile adopts a three-layer developing architecture, including Creation Layer, Execution Layer and Recycle Layer. The Creation Layer creates and starts various groups of threads and objects. The Execution Layer executes threads that have been started. The Recycle Layer recovers the memory that is no longer in use. The application practice shows that the mechanisms, such as creating various groups of threads, periodic garbage collection, etc, not only guarantee the predictability of system developed with this profile, but also reduce memory usage of system requirement.
在分析现有Java实时规范(Real Time Specification for Java, RTSJ)的局限性和Java开发模型的基础上,设计了一种可预测的Java实时开发框架,可用于开发嵌入式高可靠性实时系统。该配置文件采用三层开发架构,包括创建层、执行层和回收层。创建层创建并启动各种线程和对象组。执行层执行已经启动的线程。回收层恢复不再使用的内存。应用实践表明,该配置文件所采用的创建不同线程组、定时垃圾回收等机制不仅保证了系统的可预测性,而且降低了系统对内存的使用需求。
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引用次数: 1
A Novel Parallel Manipulator for Rotary Humanoid Wrist Based on Screw Theory 一种基于螺旋理论的旋转类人腕部并联机器人
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.104
Guoxin Zhang, Song Zhu, Dachang Zhu, Cui Wu
A class of parallel manipulators known as Rotary Humanoid Wrist (RHW), which is actuated by six circular motors on the circular base and dose not involve any prismatic joint, is analyzed based on screw theory. Model of RHW is build by using simulink tools with constant length limbs. The mobility of RHW is analyzed and the optimal combination of the main parameters for maximizing the workspace volume of RHW is also given
基于螺杆理论,分析了一种不涉及任何移动关节、由6个圆形电机驱动的并联机器人——旋转类人腕(RHW)。利用等长分支simulink工具建立了RHW的模型。分析了机器人的可迁移性,给出了实现机器人工作空间体积最大化的主要参数的最优组合
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引用次数: 0
Colored Petri Nets Based Modeling of Information Flow Security 基于彩色Petri网的信息流安全建模
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.171
Weiguo Li, Ruoyu Wu, He Huang
Currently, with the popularization of the computer and Internet technologies, electronic documents have become the most important resource in enterprises or organizations. The security of documents and protecting the information resident in these documents is of paramount importance to the organization’s progress and in some cases, their survival too. Hence, electronic documents are the target of the insider abuse and attacker. Traditionally, methods of document access control protect the information of documents by setting accessing privileges. However, the weaknesses of this are the coarse granularity of control and lack of capability to adjust dramatically to adapt well to different operating context. In this paper, an information flaw security model based on colored Petri nets (CPN) is introduced, which analyze information flow dynamically and then find out the potential approaches that lead to the leak of information by examining the reachability graph of the CPN model. Consequently, we can take some measures to prevent information leaks and achieve the goal of protecting confidential information.
当前,随着计算机和互联网技术的普及,电子文档已经成为企业或组织中最重要的资源。文件的安全性和保护驻留在这些文件中的信息对组织的发展至关重要,在某些情况下,对组织的生存也至关重要。因此,电子文档是内部滥用和攻击者的目标。传统的文档访问控制方法是通过设置访问权限来保护文档信息。然而,这种方法的缺点是控制粒度较粗,并且缺乏显著调整以适应不同操作环境的能力。本文提出了一种基于彩色Petri网(CPN)的信息漏洞安全模型,该模型对信息流进行动态分析,并通过检查CPN模型的可达性图,找出可能导致信息泄露的途径。因此,我们可以采取一些措施来防止信息泄露,达到保护机密信息的目的。
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引用次数: 3
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2009 Second International Workshop on Knowledge Discovery and Data Mining
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