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

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Vehicle Detection Based on Adaptive Background 基于自适应背景的车辆检测
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.117
Baoxia Cui, Shang Sun, Yong Duan
In order to improve the accuracy of vehicle detection, and to solve the gradually changing brightness of light in the background and the movement of the objects in the background, this paper presents an algorithm that fast adapts to the background generation and updating. Focus on the objects with similar gray background, and moving object missing caused easily by segmentation, the threshold segmentation and edge sharpening--the combination of methods is used here, to strengthen the edge of moving objects. The experimental result shows that: the algorithm can adapt to changes in the background, compensate the missing moving objects after segmentation, which has high robustness and excellent real-time performance.
为了提高车辆检测的精度,并解决背景中光线亮度逐渐变化和背景中物体运动的问题,本文提出了一种快速适应背景生成和更新的算法。针对灰度背景相似的物体,以及易因分割而导致运动物体丢失的情况,本文采用阈值分割和边缘锐化——结合的方法,来强化运动物体的边缘。实验结果表明:该算法能够适应背景变化,对分割后缺失的运动目标进行补偿,具有较高的鲁棒性和优异的实时性。
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引用次数: 6
Research on Data Protection System in Computer Network 计算机网络数据保护系统研究
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.122
Ying Li, Guifen Zhao, Tong Liu
In order to improve the data security over network and provide more effective data protection product, this paper introduces a network data protection system based on combined symmetric key. The system takes into account four main aspects in data protection, including identity authentication, encryption transmission, access controls and encryption storage. The solution combines four aspects into a whole secure system. Meanwhile, hardware equipments and combined symmetric key encryption technique are applied to encrypt the information. Consequently, network data security would be enhanced.
为了提高网络数据的安全性,提供更有效的数据保护产品,本文介绍了一种基于组合对称密钥的网络数据保护系统。该系统主要从身份认证、加密传输、访问控制和加密存储四个方面对数据进行保护。该解决方案将四个方面结合成一个完整的安全系统。同时,采用硬件设备和组合对称密钥加密技术对信息进行加密。因此,网络数据的安全性将得到加强。
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引用次数: 4
A Study on Blog Based Personal Knowledge Management 基于博客的个人知识管理研究
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.166
Gang Li, Yi Li
Personal knowledge management is an increasingly important subject in the field of knowledge management, and it has its own characteristics distinguished from organizational knowledge management. The PKM systems are required to manage personal tacit knowledge efficiently and to low down its threshold for the use for the mass people, which recent knowledge management systems cannot make. Blog, the typical web2.0 application, gives an effective approach for this problem to support PKM. A blog based PKM system is deemed to be possible and to meet the urgent needs for PKM of individuals.
个人知识管理是知识管理领域中一个日益重要的课题,它与组织知识管理有其不同的特点。知识管理系统需要有效地管理个人隐性知识,降低隐性知识为大众使用的门槛,这是现有知识管理系统无法做到的。Blog作为典型的web2.0应用程序,为这个问题提供了支持PKM的有效方法。以部落格为基础的个人知识管理系统是可行的,也能满足个人知识管理的迫切需求。
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引用次数: 9
Application Research of Design Patterns in Virtual Trade Platform 设计模式在虚拟交易平台中的应用研究
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.148
QingSheng Wang, Wen Gao, YueQin Zhang
Shanxi Coal Transportation and Marketing Group Limited has abundant coal and infrastructure network resources, maturity the highway system of coal transportation. The construction of virtual trade platform can share resources, accelerate the circulation speed of resources, reduce business costs, and improve business efficiency. The paper applies design pattern to virtual trade platform. The system has the advantage of strong scalability and maintainability, easy to develop and support multiple types of user interface.
山西煤炭运销集团有限公司拥有丰富的煤炭和基础设施网络资源,成熟的煤炭公路运输体系。虚拟交易平台的建设可以实现资源共享,加快资源流通速度,降低商业成本,提高商业效率。本文将设计模式应用于虚拟交易平台。该系统具有可扩展性和可维护性强、易于开发、支持多种类型的用户界面等优点。
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引用次数: 2
Evaluation of Foreign Exchange Risk Based on Financial Data Mining: Evidence from Iron and Steel Industry in China 基于财务数据挖掘的外汇风险评价——来自中国钢铁行业的证据
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.25
Yaqiong Pan
The purpose of this research is to evaluate the foreign exchange risk exposure of listed companies on the Shanghai and Shenzhen Stock Exchange from iron and steel industry based on panel data over the period July 2005 to July 2008. The augmented Jorion Model is built to estimate the sensitivity of stock returns to exchange rate fluctuation. The findings are shown as follows: (1) Chinese iron and steel industry has significant exposure to foreign exchange risk, which is significantly exposed to USD and JPY, and is insensitive to EUR and HKD. (2) The appreciation of RMB-JPY adversely affects firm returns, while firms are benefited from the appreciation of RMB-USD. (3)The US dollar is the most dominant source of exchange risk among the major currencies, and Japanese Yen is the second one. (4) Affected by other factors except exchange rates and average stock market return, it has fixed effect.
本研究以2005年7月至2008年7月的面板数据为基础,对沪深两市钢铁行业上市公司的外汇风险敞口进行评估。建立了增强Jorion模型来估计股票收益对汇率波动的敏感性。研究结果表明:(1)中国钢铁行业存在显著的外汇风险敞口,其中美元和日元风险敞口显著,欧元和港元风险敞口不敏感。(2)人民币对日元升值对企业收益产生不利影响,而企业从人民币对美元升值中获益。(3)在主要货币中,美元是最主要的汇率风险来源,日元次之。(4)受除汇率和股市平均收益率以外的其他因素影响,具有固定效应。
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引用次数: 2
Research on the Electric Power Enterprise Performance Evaluation Based on Symbiosis Theory 基于共生理论的电力企业绩效评价研究
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.103
Jinyu Tian, Yan Lin
The analysis of this text was carried out on the electric power enterprise performance evaluation on basis of symbiosis theory, which had stressed on the relation of the enterprise social performance and the whole enterprise performance. It provided a type of artificial neural network trained by experts for evaluating the electric power enterprise. Finally a case was applied to qualify its validity and feasibility.
本文在共生理论的基础上对电力企业绩效评价进行了分析,着重研究了企业社会绩效与企业整体绩效的关系。为电力企业评价提供了一种由专家训练的人工神经网络。最后通过实例验证了该方法的有效性和可行性。
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引用次数: 0
A Novel Dynamic Particle Swarm Optimization Algorithm Based on Chaotic Mutation 一种基于混沌突变的动态粒子群优化算法
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.142
Min Yang, Hui-xian Huang, Guizhi Xiao
A novel dynamic particle swarm optimization algorithm based on chaotic mutation (DCPSO) is proposed to solve the problem of the premature and low precision of the common PSO. Combined with linear decreasing inertia weight, a kind of convergence factor is proposed based on the variance of the population’s fitness in order to adjust ability of the local search and global search; The chaotic mutation operator is introduced to enhance the performance of the local search ability and to improve the search precision of the new algorithm. The experimental results show finally that the new algorithm is not only of greater advantage of convergence precision, but also of much faster convergent speed than those of common PSO (CPSO) and linear inertia weight PSO (LPSO).
针对混沌突变动态粒子群优化算法存在的早熟和精度低的问题,提出了一种基于混沌突变的动态粒子群优化算法。结合线性递减的惯性权值,提出了一种基于种群适应度方差的收敛因子,以调节局部搜索和全局搜索的能力;为了增强算法的局部搜索能力,提高算法的搜索精度,引入了混沌变异算子。实验结果表明,新算法不仅具有更大的收敛精度优势,而且收敛速度比普通粒子群算法(CPSO)和线性惯性加权粒子群算法(LPSO)快得多。
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引用次数: 14
Study on Head Regional of Hot Forming for Wide-Thick Plate 宽厚板热成形封头区域的研究
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.101
X. Feng, Junwei Cheng, Aimin Liu, Cai Liu, Junhui Li
To analyze the forming rules of the width dimensions reduction change of wide-thick plate head regional, the coupled heat rolling model of was created by the theory of the nonlinear finite element. Under the base of constant wide-thick plate width and different side pressing regulations, the forming rules were obtained for wide-thick plate head width reduction amount and side press amount, rounded analysis of variation of wide-thick plate head width reduction and corresponding experimental research were performed, the calculated results were very inosculated with the measured values, it indicates that the model is reality and credibility. The studied results have provided the theoretical references for controlling wide-thick plate head width reduction during rolling metal.
为分析宽厚板封头区域宽度尺寸缩减变化的形成规律,运用非线性有限元理论建立了其耦合热轧模型。在宽厚板宽度恒定和不同侧压规则的基础上,得到了宽厚板封头宽度缩窄量和侧压量的成形规律,对宽厚板封头宽度缩窄量的变化进行了圆整分析并进行了相应的实验研究,计算结果与实测值吻合较好,表明该模型是真实可信的。研究结果为控制金属轧制过程中宽厚板头缩宽提供了理论参考。
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引用次数: 0
Research on Establishment of Evaluation Model of Accounting for Safety Resources Based on Technology of Data Mining 基于数据挖掘技术的安全资源核算评价模型建立研究
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.59
E. Li
This paper demonstrates the necessity of establishing the evaluation model of accounting for safety resources based on technology of data mining systematically. The author gives the connotations and the features of the proposed new model. The main viewpoint of the paper includes that this evaluation model for safety resources is used in all units with possible accidents in production and for estimating and reflecting the effectiveness of the safety resources provided in preventing accidents, and also for the compensation of the losses caused by the accidents in production within the entire process. In accordance with the connotations of this evaluation model, the main precondition of data mining in safety and the model of Data Envelopment Analysis for safety resources based on technology of data mining are also explained. The purpose of establishing this evaluation model of accounting is to promote effective management of safety resources invested in high dangerous enterprises.
系统地论证了建立基于数据挖掘技术的安全资源核算评价模型的必要性。作者给出了新模式的内涵和特点。本文的主要观点是,该安全资源评价模型适用于所有生产中可能发生事故的单位,用于评价和反映所提供的安全资源在预防事故方面的有效性,以及在整个生产过程中对事故造成的损失进行补偿。根据该评价模型的内涵,阐述了安全数据挖掘的主要前提和基于数据挖掘技术的安全资源数据包络分析模型。建立该会计评价模型的目的是促进对投入高危险性企业的安全资源进行有效管理。
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引用次数: 0
The Forecast of Power Demand Cycle Turning Points Based on ARMA 基于ARMA的电力需求周期拐点预测
Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.140
Shuxia Yang
To make decision for power industry development, it is important to known changes of power demand cycle. Firstly ARMA model and its modeling process of time series were introduced, then according to autocorrelation and partial-autocorrelation coefficients of power demand growth rate from year 1980 to year 2005,AR (2) model was chosen to fit the time series of power demand in China. The maximum likelihood method was used to estimate the value of model parameter, the model and parameters were tested by significance test, and the fitting accuracy was analyzed by errors between actual and forecasting value. At last the growth rate of power demand and year 2006-2020 power demand cycle turning points in China were forecasted. The error average of the growth rate of power demand in China between actual and forecasting value is 0.1417, and the mean absolute error of the forecasting is 1.6253, the mean absolute error rate is 23.5%, year 2008 and year 2012 are power demand cycle turning points. The results show that it is a better method using ARMA model to forecast power demand cycle turning points, fitting model is remarkable, the method is reliable, the forecasting precision is high.
了解电力需求周期的变化对电力工业的发展决策具有重要意义。首先介绍了ARMA模型及其时间序列的建模过程,然后根据1980 ~ 2005年电力需求增长率的自相关系数和部分自相关系数,选择AR(2)模型对中国电力需求的时间序列进行拟合。采用极大似然法估计模型参数值,采用显著性检验对模型和参数进行检验,并通过实际值与预测值之间的误差分析拟合精度。最后对中国电力需求增长率和2006-2020年电力需求周期拐点进行了预测。中国电力需求增长率的实际预测值与预测值的误差平均值为0.1417,预测的平均绝对误差为1.6253,平均绝对错误率为23.5%,2008年和2012年是电力需求周期的转折点。结果表明,利用ARMA模型预测电力需求周期拐点是一种较好的方法,模型拟合效果显著,方法可靠,预测精度高。
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引用次数: 2
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2009 Second International Workshop on Knowledge Discovery and Data Mining
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