Progress in Microelectromechanical Systems

Abstract:  Recent advances in microelectromechanical systems (MEMS) technology have led to the development of a multitude of new devices heretofore impossible. However, applications of these devices are still hampered by challenges posed by their integration and packaging. The current trend in micro/nanosystems is to produce ever smaller, lighter and more capable devices at a lower cost than ever before. In addition, the finished products have to operate at very low power and in very adverse conditions while ensuring durable and reliable performance. Some of the new devices have been developed to function at high operational speeds, and others to make accurate measurements of operating conditions of specific processes. Regardless of their applications, the devices have to be packaged to facilitate their use. MEMS packaging, however, is application-specific and, usually, has to be developed on a case-by-case basis. To facilitate advances of MEMS, educational programmes have been introduced addressing all aspects in their development. This paper addresses progress in MEMS by presenting pertinent aspects in a development of MEMS including, but not limited to, design, analysis, fabrication, characterisation, packaging, and testing. This presentation is illustrated with selected examples.     

国内医院近年来中药不良反应文献分析

目的了解近年国内中药不良反应的情况和报告现状。方法通过CNKD数据文献检索,归纳、分析文献报道中各医疗机构或地区的中药ADR数据。结果中药ADR发生率在总ADR中占一定比例,注射给药、联合用药、特殊人群比例较大。结论中药的ADR不可忽视。应控制、减少中药制剂生产、保管、使用各个环节产生ADR的因素。     

713C天气雷达的回波强度定标

为了抵消天气雷达的参数变化所引起的雷达回波强度的误差 ,根据天气雷达回波强度定标的基本原理 ,结合我们多年来在天气雷达的参数测量、系统调整及回波强度定标中累积的经验 ,将详细地论述 713C天气雷达回波强度定标的内在过程 :给出了回波强度定标的软件流程、介绍了雷达定标前的准备工作及定标过程、说明了 713C天气雷达回波强度定标文件的形成方法、又提出了几种对天气雷达定标结果的验证方法。这样才能使得定标后天气雷达残存的回波强度误差在整个接收系统对数动态线性范围内控制在 2dB以内 ,保证天气雷达定量探测降水回波的准确性     

Choosing the best method for local validity estimation: Relative accuracy of meta-analysis versus a local study versus Bayes-analysis.

This study assessed the relative accuracy of 3 techniques--local validity studies, meta-analysis, and Bayesian analysis--for estimating test validity, incremental validity, and adverse impact in the local selection context. Bayes-analysis involves combining a local study with nonlocal (meta-analytic) validity data. Using tests of cognitive ability and personality (conscientiousness) as predictors, an empirically driven selection scenario illustrates conditions in which each of the 3 estimation techniques performs best. General recommendations are offered for how to estimate local parameters, based on true population variability and the number of studies in the meta-analytic prior. Benefits of empirical Bayesian analysis for personnel selection are demonstrated, and equations are derived to help guide the choice of a local validity technique (i.e., meta-analysis vs. local study vs. Bayes-analysis). (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

北方寒冷环境对索道工艺设计参数影响的分析

架空索道是一种能跨山、越河、适应各种复杂地形的运输工具。具有基本不受气候影响，占地面积少，基建投资省，营运费用低，不污染环境，安全可靠等特点．在我国得到蓬勃发展。     

自动气象站在福建省输电网络中的应用

气象灾害往往对输电网络造成巨大破坏，实时监测电网运行环境将减小电网重特大事故发生的概率。文中介绍自动气象站在实时监测福建电网运行环境中的应用，设计了采用ACS300数据采集器的自动气象站系统，为实时监测气象要素对输电网络的影响提供了科学依据。     

X波段双基站多普勒天气雷达系统设计

X波段双基站多普勒天气雷达系统是一种新型气象探测雷达系统，主要用于测量降雨回波的三维风场。根据x波段天气雷达的功能要求及设备组成特点，采用波导缝隙天线及GPS系统解决了空间、相位、时间的三大同步问题，具有结构简单、价格低廉、工作可靠、灵敏度高等特点。还分析了确定系统性能指标的算法，并给出了基于GPs的具体工程实施方法，该系统有很好的推广价值。     

Pseudo-Satellitefilm Using Fractal Clouds to Enhance Animated Weather Forecasting

We have developed a system enabling the National German Meteorological Office to generate pseudo-satellite images and video sequences based on their weather forecasting simulation data. With our system meteorologists can visualize the past and the current weather situation, evaluate their simulation results, and produce animated weather forecast videos broadcasted by several television stations. Realistic images are generated by interpolating the extremely coarse weather simulation data grid and enhancing the result using fractal clouds. It also enables the meteorologists to interactively change the forecast data in order to compensate the lack of accuracy or the known errors in their simulation models. Our system TRITON enables the visualization of complex weather simulations in a more natural way by presenting an intuitively understandable forecast.     

新激活函数下前馈型神经网络及其在天气预报中的应用

本文为提高基于ＢＰ算法的人工神经元网络的学习速度，提出新组合激活函数并取得了显著效果的基础上，又应用于天气预报中，并与基于ＢＰ算法的神经网络（标准和带动量项）以及多自适应性单元的神经元网络进行仿真比较，在预报准确纺和学习速度方面获得了令人比较温度的结果，本模拟程序在Ｔｕｒｂｏ－Ｐａｓｃａｌ／６．０环境下编制，在ＩＢＭ ＰＣ３８６和４８６机器上调试通过并运行。