基于MIDAS技术的数据库安全代理的设计与实现

目前国内的数据库应用系统，多数是在Client／Server模式主流商用数据库产品环境下进行开发和运行，其安全级别较低。由于不可能对商用数据库产品进行修改，从应用实际出发，提出由数据库安全代理增强数据库应用系统的安全性。在分析数据库应用系统特点和安全需求基础上，结合实际系统研究了数据库安全代理的功能和在MIDAS技术基础上的设计和实现，并对其抵御常见数据库攻击手段的能力进行了分析和实验。     

基于三层C/S模式下的数据传输系统的设计与实现

论述了三层C/S模式的基本概念,重点讨论了Socket连接下的三层C/S模式在Delphi中的编程技术,解决了企事业单位中的数据传输问题。     

建筑结构设计软件动力时程分析功能比较

利用SATWE、MIDAS/Building和ETABS软件分别对结构地震作用进行计算以获得其在地震作用下的反应,来判断结构整体的安全性和可靠性.对3种软件在前处理、分析过程中、后处理3方面进行对比,得出在前处理中MIDAS/Building在建模、选波和调波方面具有一定的优势,并且在后处理方面提供了丰富的后处理功能,便于操作人员快速查询结果.     

Methods for backcasting,nowcasting and forecasting using factor‐MIDAS: With an application to Korean GDP

We utilize mixed‐frequency factor‐MIDAS models for the purpose of carrying out backcasting, nowcasting, and forecasting experiments using real‐time data. We also introduce a new real‐time Korean GDP dataset, which is the focus of our experiments. The methodology that we utilize involves first estimating common latent factors (i.e., diffusion indices) from 190 monthly macroeconomic and financial series using various estimation strategies. These factors are then included, along with standard variables measured at multiple different frequencies, in various factor‐MIDAS prediction models. Our key empirical findings as follows. (i) When using real‐time data, factor‐MIDAS prediction models outperform various linear benchmark models. Interestingly, the “MSFE‐best” MIDAS models contain no autoregressive (AR) lag terms when backcasting and nowcasting. AR terms only begin to play a role in “true” forecasting contexts. (ii) Models that utilize only one or two factors are “MSFE‐best” at all forecasting horizons, but not at any backcasting and nowcasting horizons. In these latter contexts, much more heavily parametrized models with many factors are preferred. (iii) Real‐time data are crucial for forecasting Korean gross domestic product, and the use of “first available” versus “most recent” data “strongly” affects model selection and performance. (iv) Recursively estimated models are almost always “MSFE‐best,” and models estimated using autoregressive interpolation dominate those estimated using other interpolation methods. (v) Factors estimated using recursive principal component estimation methods have more predictive content than those estimated using a variety of other (more sophisticated) approaches. This result is particularly prevalent for our “MSFE‐best” factor‐MIDAS models, across virtually all forecast horizons, estimation schemes, and data vintages that are analyzed.     

Real‐Time Forecasts of Inflation: The Role of Financial Variables

We present a mixed‐frequency model for daily forecasts of euro area inflation. The model combines a monthly index of core inflation with daily data from financial markets; estimates are carried out with the MIDAS regression approach. The forecasting ability of the model in real time is compared with that of standard VARs and of daily quotes of economic derivatives on euro area inflation. We find that the inclusion of daily variables helps to reduce forecast errors with respect to models that consider only monthly variables. The mixed‐frequency model also displays superior predictive performance with respect to forecasts solely based on economic derivatives. Copyright © 2012 John Wiley & Sons, Ltd.     

Delphi与Multi-tiered应用开发

概述了数据库应用技术的发展历程，介绍了三层应用的结构及优点，以开发工具Delphi为例阐述了三层应用的工作原理与开发。     

应用Delphi4的MIDAS构件组开发起重机零部件管理系统

Delphi自版本4就开始提供一组新的构件MIDAS,使用它,可以方便地开发具有三层体系结构的数据库应用程序。本文分析了MIDAS构件组的开发原理,并以起重机为例,论述了开发基于三层结构的起重机零部件管理系统的基本步骤,并详细讨论了开发中三层结构的实现过程。     

基于MIDAS的某带端部转换剪力墙结构的抗震性能分析

文章以某高层剪力墙结构带端部转换为例,采用有限元软件MIDAS/Building进行多遇地震下的弹性计算、罕遇地震下的弹塑性分析及楼板应力分析,对托墙转换构件采用小震、中震弹性双控设计,对结构整体及构件的抗震性能进行评估。计算结果表明,通过加强措施后,结构布置合理,无明显刚度薄弱层和过大扭转位移比,结构具有良好的屈服机制。     

基于车载三维激光扫描结果的桥面变形分析

车载三维激光扫描技术能够直接对目标结构表面进行三维量测,并采用三维阵列点云的方式来生成结构物表面的三维形态和记录点位坐标,打破了传统的桥梁变形监测方法仅有数个独立点的局限性,扩大了桥面变形监测范围,提高了结构物的观测精度,并能快速、完整的进行量测。本文将车载三维激光扫描技术引入到桥梁变形监测中,基于全长331.2m的预应力混凝土连续-刚构桥为背景,采用三维激光扫描技术对其温度变形进行探索。在监测环境温差20℃范围内,对其进行多次桥面几何形态数据采集,并对采集的数据进行处理。对基于车载三维激光扫描点云数据的NURBS(Non-Uniform Rational B-Splines)曲面提出了一种新的变形测量方法,得到整个桥面的变形测量结果,再与采用有限元分析软件MIDAS CIVIL建模得到的各温差下理论变形数据进行对比,发现基于NURBS曲面的分析处理方法获得的变形测量值具有良好的精度和可靠性,并能够获取桥梁点-线-面的整体变形监测结果,与单点变形监测相比,弥补了其缺乏线性变形及整体变形特征的不足,有较好的工程应用前景。     

索力调整中影响矩阵在MIDAS/CIVIL中的实现

本文以一座提篮式系杆拱桥为工程背景研究索力调整中影响矩阵在桥梁专业软件中的实现方法。采用桥梁专用有限元软件MIDAS/CIVIL建立全桥空间模型,模型中索单元用桁架单元模拟,详细列出了索力调整中影响矩阵求解过程。该方法快捷、方便,并且满足精度要求,对实际工程中的索力调整具有现实指导意义。