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2010 2nd International Workshop on Intelligent Systems and Applications最新文献

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Study and Application of Robust Control for Non-Linear Uncertain Dependent Time-Delay Systems 非线性不确定相关时滞系统鲁棒控制的研究与应用
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473595
Xingjian Fu, Xiaohe Liu, Jie Ma, Yingchun Li
The design and application of robust controller for a class of uncertain non-linear systems with time-varying state delay are considered. The uncertainties are norm-bounded and the states of the uncertain systems are available. A sufficient condition of robust stability control law is given for the non-linear systems by constructing Lyapunov function. The state feedback control law can be obtained by solving the corresponding linear matrix inequality. At last, the looper MIMO systems of hot strip rolling mill is designed by adopting this method. The application simulation result is presented to illustrate the validity and feasibility of this approach.
研究了一类具有时变状态延迟的不确定非线性系统的鲁棒控制器的设计与应用。不确定性是范数有界的,不确定系统的状态是可用的。通过构造李雅普诺夫函数,给出了非线性系统鲁棒稳定控制律存在的充分条件。通过求解相应的线性矩阵不等式得到状态反馈控制律。最后,采用该方法对热连轧机活套MIMO系统进行了设计。应用仿真结果验证了该方法的有效性和可行性。
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引用次数: 0
Data Mining for the Optimization in Manufacturing Process 面向制造过程优化的数据挖掘
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473459
Tao He
In the real manufacturing process, many conditions influence its process. However, there are three important factors consisting of final customer feedback information, flexible manufacturing and supplier selection affect the manufacturing process. In order to satisfy the real requirements of manufacturing process, this paper employs association rule mining of data mining technology including the above three factors to optimize the process of manufacturing.
在实际的制造过程中,有许多条件影响其过程。然而,最终顾客反馈信息、柔性制造和供应商选择三个重要因素影响着制造过程。为了满足制造过程的实际需求,本文采用包含上述三个因素的数据挖掘技术中的关联规则挖掘来优化制造过程。
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引用次数: 2
Artificial Emotion Model Based on Random Process 基于随机过程的人工情感模型
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473432
Guojiang Wang, Shaodong Teng, Kechang Fu
Artificial Emotion model is considered as a key component of to achieve a more effective human-computer interaction and its basic and fundamental are the essentially understanding and expression of natural emotion. The paper presents an emotion computing model Based on Random Process. The model simulates the dynamic process of emotional self-regulation and the dynamic process of emotional transference under the influence of external stimuli. The simulation results show that the change process of emotions simulated by the emotion computing model is consistent with the change rule of human emotion, and it provides a new mechanism for emotional decision-making of emotion robots.
人工情感模型被认为是实现更有效人机交互的关键组成部分,其基本和根本是对自然情感的本质理解和表达。提出了一种基于随机过程的情感计算模型。该模型模拟了在外界刺激作用下情绪自我调节的动态过程和情绪迁移的动态过程。仿真结果表明,情绪计算模型模拟的情绪变化过程符合人类情绪变化规律,为情感机器人的情绪决策提供了一种新的机制。
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引用次数: 2
The Application of Vendor Managed Inventory in Supply Chain Management: Panasonic Electric Work - Wanbao (Guangzhou) Co. Ltd. as a Case 供应商管理库存在供应链管理中的应用——以松下电器万宝(广州)有限公司为例
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473560
Jun Li, X. Fu
Vendor Managed Inventory (VMI) model is an effective way to integrate resources in supply chain management, but many scholars believe that VMI is more conducive to the demand-side than to the supply-side. This paper chooses Panasonic Electric Work - Wanbao (Guangzhou) Co. Ltd. as an example, and analyzes the application of VMI in the supply chain management. By expounding the problems in the traditional inventory management, and evaluating the effectiveness of VMI, the author concludes that VMI is a win-win approach to the supply chain. VMI could reduce the overall inventory costs, and improve efficiency and service levels of the whole supply chain.
供应商管理库存(Vendor Managed Inventory, VMI)模型是供应链管理中一种有效的资源整合方式,但许多学者认为VMI更有利于需求方而非供应方。本文以松下电器万宝(广州)有限公司为例,分析了VMI在供应链管理中的应用。通过阐述传统库存管理存在的问题,并对VMI的有效性进行评价,认为VMI是一种双赢的供应链管理方式。VMI可以降低整体库存成本,提高整个供应链的效率和服务水平。
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引用次数: 1
Some Analysis of Fuzzy CAGO/SO CFAR Detector in Non-Gaussian Background 非高斯背景下模糊CAGO/SO CFAR检测器的分析
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473461
L. Cai, Xiaochuan Ma, Shefeng Yan, C. Hao, Rongbo Wang
In order to improve radar's detection performance under non-Gaussian background clutter. We design a new distributed fuzzy CAGO/SO-CFAR detection system including two sensors. Both sensors compute the value of the membership function mapping to the false alarm space according to the samples of the reference cells, in the fusion centre two values are combined according to four kinds of fusion rule to estimate the background clutter power. The simulation results prove the detection improvement of CASO based on algebraic-sum rule under multi-target environment, and present better false-alarm-control capacity of CAGO based on MIN rule under clutter-edge environment.
为了提高雷达在非高斯背景杂波下的检测性能。设计了一种新型的分布式模糊CAGO/SO-CFAR检测系统。两个传感器根据参考单元的样本计算映射到虚警空间的隶属函数的值,在融合中心根据四种融合规则将两个值组合以估计背景杂波功率。仿真结果证明了基于代数和规则的CAGO在多目标环境下的检测改进,并展示了基于最小规则的CAGO在杂波边缘环境下更好的虚警控制能力。
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引用次数: 13
Facilitating Use of LCC by Knowledge Management: An Empirical Case Study 通过知识管理促进LCC的使用:实证案例研究
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473534
Weiyi He, Yilin Yin
the application of Life Cycle Costing in the world is still hindered significantly by the lack of standard methods and the excuse of lack of sound data upon which to arrive at accurate decisions. This paper tend to explore the knowledge management issues in LCC based on a brief but representative literature review by which the relationship between barriers to apply LCC and knowledge management is showed. A knowledge management framework for facilitating use of LCC is proposed and some facilitating experiences under the framework are presented based on an empirical multiple-case study. An essential effort is to reconcile and integrate LCC to existing management information system rather than to establish an independent but absolute LCC system.
由于缺乏标准的方法和缺乏可靠的数据来作出准确的决策,生命周期成本法在世界上的应用仍然受到很大的阻碍。本文通过对具有代表性的文献综述,探讨了低成本成本管理中的知识管理问题,揭示了低成本成本应用障碍与知识管理之间的关系。提出了一个促进LCC使用的知识管理框架,并基于实证多案例研究提出了在该框架下的一些促进经验。一个重要的努力是将LCC与现有的管理信息系统进行协调和整合,而不是建立一个独立但绝对的LCC系统。
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引用次数: 0
Relationship between Volatility of Shibor Rates and IPOs of Big and Medium Sized Enterprises - An Empirical Study Using Chinese Data 船舶运价波动与大中型企业ipo的关系——基于中国数据的实证研究
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473619
L. Dong, Xiutian Zheng
Using a daily sample of the 1-week Shanghai interbank offered rate, we research the volatility of Chinese spot rate using EGARCH model, and then calculate its value at risk by VaR-EGARCH model. We also examine the effect of IPOs of big and medium enterprises in Chinese stock market on Shibor rates. The results show that big and medium sized IPOs have a significant impact on Shibor rates. The huge IPOs resulted in abnormal volatility of Shibor rates, and caused great risk in the 2007 and 2008. The reform of IPOs system in 2009 has reduced the effect of huge IPOs on Shibor rates a lot.
本文以1周上海银行间同业拆放利率为样本,利用EGARCH模型研究了人民币即期汇率的波动率,并利用VaR-EGARCH模型计算了其风险值。本文还考察了中国股票市场中大中型企业的首次公开发行(ipo)对Shibor的影响。结果表明,大中型ipo对Shibor有显著影响。大量的ipo导致了Shibor利率的异常波动,并在2007年和2008年造成了巨大的风险。2009年ipo制度的改革大大降低了巨额ipo对Shibor的影响。
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引用次数: 1
A Study of Power Project Investment Decision Making Based on AHP and Grey Relevancy Degree Method 基于层次分析法和灰色关联度法的电力项目投资决策研究
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473487
Qiao-zhi Zhao
Project investment decision-making system is a typical grey system which has the characteristics of some information uncertainty. This thesis tries to combine organically grey system theory with AHP. It computes judgement matrix and builds model through weighted grey relevancy degree, which provide an efficient decision making pathway. Grey relevancy analysis method is used to handle with power project investment decision making process. Then the multi-objects are weighted through AHP method. Finally, weighted grey relevancy degree is computed to select the optimal investment plan from alternatives which leads decision making result is more scientific.
项目投资决策系统是一个典型的灰色系统,具有一定的信息不确定性。本文试图将灰色系统理论与层次分析法有机地结合起来。计算判断矩阵,通过加权灰色关联度建立模型,为决策提供了有效的途径。运用灰色关联分析方法处理电力项目投资决策过程。然后通过层次分析法对多目标进行加权。最后计算加权灰色关联度,从备选方案中选择最优投资方案,使决策结果更加科学。
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引用次数: 1
The Water Quality Emergency Monitoring System Based on GIS and RS for Urban Drinking Water Source 基于GIS和RS的城市饮用水源地水质应急监测系统
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473485
Fengyun Mu, Xiaochun Wu
With more and more serious problem on water pollution, it is significant to monitor the water quality and get to know the trend of the water quality change for water source management and water environment protection. Urban drinking water source quality monitoring system is based on GIS and remote sensing technology. This relatively integrated system comprises water source quality information receiving and collection and emergency response. By the integration of database and model-base, the system can receive and collect up-to-data information about flood from RS monitoring and routine observation. In application of image processing and information amalgamation, the change of water source qualtiy can be rapidly confim spatially and temporally, which can provide sicentific methods to experts for them to manage and make corresponding policy.
随着水污染问题的日益严重,对水质进行监测,了解水质变化趋势对水源管理和水环境保护具有重要意义。基于GIS和遥感技术的城市饮用水源水质监测系统。这个相对综合的系统包括水源质量信息接收和收集和应急响应。该系统通过数据库和模型库的集成,可以接收和采集遥感监测和日常观测的最新洪水信息。应用图像处理和信息融合技术,可以快速确认水源水质的时空变化,为专家管理和制定相应的政策提供科学的方法。
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引用次数: 3
A Image Thresholding Method Based on Binary Coded Ant Colony Algorithm 基于二值编码蚁群算法的图像阈值分割方法
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473306
Z. Ye, Zhengbing Hu, Huamin Wang, Wei Liu
Image segmentation is the most significant step in image analysis and is a long-term difficult problem, which hasn't been fully solved. Many segmentation methods have been brought forward to deal with image segmentation, among these methods thresholding is the simple and important method in image segmentation. In practical work, 2-dimension (2D) entropy method is often used. It segments images by using the gray value of the pixel and the local average gray value of it, and thus provides better results than that of one-dimension entropy. However, for more accurate thresholding, much more time has to pay. Thus, this paper employs a novel approach to 2D threshold selection based on binary coded ant colony optimization algorithm. The proposed approach has been implemented and tested on several real images. Experiments results indicate that proposed method performs well which is a good method to help select optimum 2D thresholds.
图像分割是图像分析中最重要的一步,也是一个长期存在的难题,目前还没有完全解决。人们提出了许多分割方法来处理图像分割,其中阈值分割是图像分割中简单而重要的方法。在实际工作中,经常使用二维熵法。它利用像素的灰度值和像素的局部平均灰度值对图像进行分割,比一维熵的分割效果更好。然而,为了获得更精确的阈值,需要付出更多的时间。因此,本文采用了一种基于二进制编码蚁群优化算法的二维阈值选择新方法。该方法已在多个真实图像上进行了实现和测试。实验结果表明,该方法具有良好的性能,是一种帮助选择最佳二维阈值的方法。
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引用次数: 1
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2010 2nd International Workshop on Intelligent Systems and Applications
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