论网络升级方式与光纤选择的关系

在重点说明影响传输光纤设计的主要问题的同时，简要介绍了各种升级方式所面临的主要技术挑战，并详细说明这些挑战对传输光纤提出的技术要求。     

白水江流域后续水电站开发顺序的选择

白水江流域规划开发七级电站,总装机容量53.7万kW,目前已开发完成黑河塘电站,双河电站正在建设中,后续五个电站中的多诺和青龙电站具备开工条件。在白水江水电开发现状的基础上,结合整个电力市场,对两个电站开发的先后顺序进行了分析。     

Measurement selection for parametric IC fault diagnosis

This article presents experimental results which show feedforward neural networks are well-suited for analog IC fault diagnosis. Boundary band data (BBD) measurement selection is used to reduce the computational overhead of the FFN training phase. We compare the diagnostic accuracy between traditional statistical classifiers and feedforward neural networks trained with various measurement selection criteria. The feedforward networks consistently perform as well as or better than the other classifiers in term of accuracy. Training using BBD consistently reduces the FFN training efforts without degrading the performance. Experimental results suggest that feedforward networks provide a cost efficient method for IC fault diagnosis in a large scale production testing environment.This work is supported by NSF-IUC CDADIC, Project 90-1.     

加氢装置高压进料泵的特点及选用

结合API610及工程设计的实际 ,讨论了高压进料泵的特点及选用     

中国新移动运营商3G发展策略

通过对3G的市场分析、技术分析、制式选择关键因素分析和经济分析,得出了中国新移动运营商3G的发展策略。无论从基于频率资源与制式关系的考虑,基于选择3G主流制式的考虑,还是从基于利用非对称频段资源、采用TD-SCDMA混合组网的考虑,对新的运营商来说,采用WCDMA来建设移动通信系统都是必要和有利的选择。     

基于供应链管理的供应商选择问题初探

首先讨论了供应链环境下选择供应商的意义，然后建立了供应商选择的评价指标体系，重点讨论了应用TOPSIS 方法对供应商选择的模型及算法，最后用一个简单的案例进行了说明。     

一种Hartmann-Shack波前传感器图像的自适应阈值选取方法

在Hartmann-Shack波前传感器中，图像阈值的选取对质心探测精度有效大的影响。根据模式识别理论，提出一种适用于Hartmann-Shack波前传感器图像阈值选取的新方法——基于类别方差的自适应门限方法。实验结果表明，本方法在Hartmann-Shack波前传感器图像信噪比大于3时，能够比较有效地自动选取每帧图像的阈值。     

DCS的评价与选择

本文综述了ＤＣＳ（集散控制系统）三代产品的总体水平评价，介绍了ＤＣＳ的总体性能、评价指标和它的选择准则。     

Interactive key frame selection model

Video summarization can provide a fine representation of the content of video stream and reduce a large amount of data involved in video indexing, browsing, and retrieval. Moreover, Key frame selection is an important step in the research of content-based video analysis and retrieval. Although there exist a variety of methods for key frame selection, they are heuristic and closed systems, which cannot dynamically generate video summary with user’s preference. In this paper, an M-estimator and epipolar line distance constraint camera motion estimation algorithm is introduced as camera parameters is an important motion feature for key frame selection, and Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is applied to optimize estimated parameters. Moreover, since Interactive Computing is a novel-computing model that represents the transition of algorithm to interaction, an interactive model of key frame selection (IKFS) is presented as a result of improving the model of key frame selection (KFS). The model of KFS and IKFS are proved to satisfy the criterion of induction and coinduction, respectively. Experimental results show that the processing scheme generates flexible and desirable summarizations whose distortion rate is lower than current method. Above all, IKFS is an extension to KFS.