双峰寺水库工程建设的必要性

双峰寺水库的修建从根本上解决了武烈河流域及承德市区的防洪问题,有效地解决了承德市区用水的最佳供水方式,改善和保护城市生态环境的需要,同时能有效拉动旅游,促进全市经济快速发展。     

基于模糊故障树的变压器可靠性分析

针对电力变压器故障特点,采用模糊理论与故障树分析相结合的方法对变压器可靠性进行分析．介绍了变压器故障树的建树方法与故障树分析流程,建立变压器故障树,找出故障树顶事件的最小割集;利用模糊理论合理客观地得到变压器的故障概率区间;对底事件模糊概率重要度进行计算,得到顶事件的薄弱环节以及关键事件,为变压器可靠性设计和可靠性增长提供理论依据．     

国有企业落实“三重一大”制度的再思考

"三重一大"制度是国有企业党风廉政建设的切入点。国有企业在落实"三重一大"制度中存在着对制度规定重要性的认识不够、制度过于原则化、可操作性不够等薄弱环节。要落实"三重一大"制度,就必须强化国有企业纪检监察部门组织协调意识;要以制约和规范权力为核心,改革和完善国有企业重大决策制度;要以建立和完善科学民主的干部选拔任用和管理监督机制为重点,改革和完善国有企业干部选拔任用制度;要以规范投资决策行为为立足点,改革和完善国有企业重大投资项目安排制度;要以严格审批、管理和监督为着力点,改革和完善国有企业大额度资金使用制度。     

复杂网络在交通网络节点重要度评估中的应用

为了找到道路交通网络中的重要节点,保障交通通行.文中使用一种基于节点收缩方法的复杂网络节点重要度评估办法,将该方法应用于城市道路交通网络,并以莲湖区为例评估该区域城市道路交通网络的节点重要性.结果表明:道路交通网络中的节点重要度与通过该节点的交通流量和节点在网络中的位置有关,使用该方法得到了道路交通网络节点重要度的排序,结果更贴近实际情况.     

采用重要度和模糊推理的数控刀架危害性分析

以数控刀架系统为研究对象,基于美国国防部军用标准MIL-STD-1629A的故障模式、影响和危害性分析(FMECA)的思路,提出了一种改进的FMECA分析方法。该方法以重要度来判断严酷度,以专家权重评分数确定危害度,最后采用专家模糊推理进行危害水平的综合评估,有效地找出了影响刀架系统可靠性的薄弱环节,为对其进行可靠性改进设计以及制定合理的维修策略提供了科学依据。     

稀疏图像内容情况下显微镜自动聚焦算法

自动聚焦是全自动显微成像中的关键技术.为了解决在极低内容密度(稀疏内容)情况下传统聚焦方法无法成功找到焦平面的问题提出一种基于图像内容重要度加权的聚焦函数增强算法.该算法利用聚焦过程中当前图像和参考图像中对应像素沿光轴方向的梯度变化规律对像素进行分类,并根据不同像素对图像清晰程度判决的贡献大小自适应调整当前像素的重要度因子,通过这种方式增强了图像内容像素的计算权重并有效抑制了镜头杂质及背景噪声,极大地增强了聚焦曲线的陡峭度在此基础上,采用图像分块的方式来克服显微镜Z轴机械系统误差对算法性能的影响并降低算法复杂度.实验结果表明,在图像内容非常稀疏的情况下,该算法的聚焦成功率高达90％,而传统聚焦算法的成功率仅为24％.     

An investigation of mating and population maintenance strategies in hybrid genetic heuristics for product line designs

This research builds on prior work on developing near optimal solutions to the product line design problems within the conjoint analysis framework. In this research, we investigate and compare different genetic algorithm operators; in particular, we examine systematically the impact of employing alternative population maintenance strategies and mutation techniques within our problem context. Two alternative population maintenance methods, that we term “Emigration” and “Malthusian” strategies, are deployed to govern how individual product lines in one generation are carried over to the next generation. We also allow for two different types of reproduction methods termed “Equal Opportunity” in which the parents to be paired for mating are selected with equal opportunity and a second based on always choosing the best string in the current generation as one of the parents which is referred to as the “Queen bee”, while the other parent is randomly selected from the set of parent strings. We also look at the impact of integrating the artificial intelligence approach with a traditional optimization approach by seeding the GA with solutions obtained from a Dynamic Programming heuristic proposed by others. A detailed statistical analysis is also carried out to determine the impact of various problem and technique aspects on multiple measures of performance through means of a Monte Carlo simulation study. Our results indicate that such proposed procedures are able to provide multiple “good” solutions. This provides more flexibility for the decision makers as they now have the opportunity to select from a number of very good product lines. The results obtained using our approaches are encouraging, with statistically significant improvements averaging 5% or more, when compared to the traditional benchmark of the heuristic dynamic programming technique.     

Goal and Personality Trait Development in Emerging Adulthood.

The present research examined continuity and change in the importance of major life goals and the relation between change in goals and change in personality traits over the course of college (N = 298). Participants rated the importance of their life goals 6 times over a 4-year period and completed a measure of the Big Five personality traits at the beginning and end of college. Like personality traits, life goals demonstrated high levels of rank-order stability. Unlike personality traits assessed during the same period and in the same sample, the mean importance of most life goals decreased over time. Moreover, each goal domain was marked by significant individual differences in change, and these individual differences were related to changes in personality traits. These findings provide insights into the relatively unstudied question of how life goals change during emerging adulthood. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

一种信息系统的快速属性约简算法

在分析目前已有的基于Rough Set的属性约简算法后,认为计算属性的重要性的算法复杂度可以进一步降低,同时给出了一个新的较为合理的度量属性重要性的计算公式,并分析了该计算公式的性质,然后给出了一个时间复杂度为max｛O｜A‖U｜log｜U｜,O(｜A｜2｜U｜)｝的快速属性约简算法,最后用一个实例说明了算法的有效性。     

Use of Sobol's Quasirandom Sequence Generator for Integration of Modified Uncertainty Importance Measure

Sensitivity analysis of model output is relevant to a number of practices, including verification of models and computer code quality assurance. It deals with the identification of influential model parameters, especially in complex models implemented in computer programs with many uncertain input variables. In a recent article a new method for sensitivity analysis, named HIM* based on a rank transformation of the uncertainty importance measure suggested by Hora and Iman was proved very powerful for performing automated sensitivity analysis of model output, even in presence of model non-monotonicity. The same was not true of other widely used non-parametric techniques such as standardized rank regression coefficients. A drawback of the HIM* method was the large dimension of the stochastic sample needed for its estimation, which made HIM* impracticable for systems with large number of uncertain parameters. In the present note a more effective sampling algorithm, based on Sobol's quasirandom generator is coupled with HIM*, thereby greatly reducing the sample size needed for an effective identification of influential variables. The performances of the new technique are investigated for two different benchmarks.