An interpretative structural modeling based network reconfiguration strategy for power systems

The network reconfiguration is an important stage of restoring a power system after a complete blackout or a local outage. Reasonable planning of the network reconfiguration procedure is essential for rapidly restoring the power system concerned. An approach for evaluating the importance of a line is first proposed based on the line contraction concept. Then, the interpretative structural modeling (ISM) is employed to analyze the relationship among the factors having impacts on the network reconfiguration. The security and speediness of restoring generating units are considered with priority, and a method is next proposed to select the generating unit to be restored by maximizing the restoration benefit with both the generation capacity of the restored generating unit and the importance of the line in the restoration path considered. Both the start-up sequence of generating units and the related restoration paths are optimized together in the proposed method, and in this way the shortcomings of separately solving these two issues in the existing methods are avoided. Finally, the New England 10-unit 39-bus power system and the Guangdong power system in South China are employed to demonstrate the basic features of the proposed method.     

Study on metamerism degree evaluation based on wavelength sensitive cone weighting algorithm

Metamerism phenomenon can be used in illuminant detection to ensure the accuracy of light source. A method based on Long‐, Middle‐, Short‐ wavelength cones(LMS) weighting algorithm to evaluate metamerism degree is proposed. The chromatic relationship between the degree of metamerism mismatch and the light source is studied. Herein, the consistency between the metameric indices (MIs) and CIE1976 L*a*b* color difference ranking is analyzed by SRCC, KRCC, PLCC and RMSE. A statistically sampling method to obtain practical LMS cone fundamentals to evaluate metamerism degree is employed. The analysis results obtained show that the method based on LMS weighting algorithm has good evaluation ability and stability in simulation experiments and statistically sampling experiments, which are in line with visual characteristics of human. Proposed method meets the requirements of selecting metameric pairs used in light source detection. The analysis results have certain guiding significance.     

Role of Perceived Importance in Intergroup Contact.

Furthering G. W. Allport's (1954) contentions for optimal contact, the authors introduce a new construct: the perceived importance of contact. They propose that perceived importance is the best proximal predictor of contact's reduction of prejudice. If individuals have opportunities for contact at work or in the neighborhood, their chances to have intergroup acquaintances and friends increase. Intergroup contact among acquaintances and friends can be perceived as more or less important, which in turn determines intergroup evaluations. A 1st study shows that the new measure of perceived importance is indeed distinct from established quantity and quality indicators. The results are cross-validated in a 2nd study that also sheds light on the meaning of importance. In 3rd and 4th studies, structural equation analyses and a meta-analysis support the hypotheses. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

高密度低损害压井液体系

为了解决修井、射孔等作业过程中压井液的漏失、滤失问题,以及由此造成的水敏、水锁、固相堵塞、乳液堵塞等地层损害,提出并研制了一种含可溶性固相的暂堵型高密度压井液配方体系。该体系主要由XC聚合物和YDC-LN助剂以及可水溶性加重剂组成。通过配方筛选和室内模拟试验研究,结果表明该体系稳定性好,耐温超过105℃,滤失量小,抑制性强,岩心损害率小于20%,而且具有密度可调、返排率高等特点;与自来水和油田污水的配伍性好,应用简单、方便。     

多测井曲线的综合处理合成

测井曲线是地质分层的基础，但在利用单一测井曲线解决复杂地质问题时也存在多解性和局限性。为克服多解性，人们采用多种测井曲线进行地质分层，提高了分层的精度。本文在此基础上提出把多条曲线分别赋予不同的加权因子，然后进行归一化处理，形成一条标准综合参数测井曲线。此综合参数曲线突出了所选的多条测井曲线的公共信息，减少或削弱了单一测井曲线中的偶然误差，提高了综合后测井资料的可信度。该方法可应用于地质分层、岩性分析、含油气预测等诸多领域。应用时要注意，并非所选择的测井曲线种类越多越好，而是要选择那些最能反映地层单元特征信息的测井曲线。     

基于神经网络基础上的两种系统安全综合评价方法

从工业企业生产发展的特点出发,在界定安全评价概念的基础上，从系统论的角度简要介绍了运用三层BP神经网络技术进行安全综合评价的方法和安全模糊综合评价方法。通过对这两种较为流行的安全评价方法进行分析，指出了传统评价方法的不合理性，辨证说明了这两种评价方法的优越性。     

Locally Weighted Learning

This paper surveys locally weighted learning, a form of lazy learning and memory-based learning, and focuses on locally weighted linear regression. The survey discusses distance functions, smoothing parameters, weighting functions, local model structures, regularization of the estimates and bias, assessing predictions, handling noisy data and outliers, improving the quality of predictions by tuning fit parameters, interference between old and new data, implementing locally weighted learning efficiently, and applications of locally weighted learning. A companion paper surveys how locally weighted learning can be used in robot learning and control.     

螺旋埋弧焊管管端X射线拍片探伤重要性的分析

简要分析了螺旋埋弧焊管中自动超声波探伤、手动超声波探伤、工业电视X射线探伤、X射线拍片探伤四种方法在管端探伤的特点.强调了X射线拍片探伤在螺旋管焊缝探伤中的重要地位,指出X射线拍片探伤对确保输送油、燃气等危险介质的螺旋埋弧焊管的焊缝质量有重要作用.     

一起二次回路接线错误引发的事故分析

通过一起由二次回路接线错误引发的事故分析,阐述二次回路的重要性。从设计、安装、调试和管理上对二次回路进行探讨,提出反事故措施和对策,以防止类似事故的发生。