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一、中文文献三篇

------来自于中国期刊全文数据库（同方）一、P owerBuilder中数据库通信技术的研究

二、SQL Server数据复制技术研究

三、IEEE802.11与高级红外无线AIr MAC协议的性能比较

二、外文文献两篇

----Springerlink电子期刊（halis，外文期刊全文数据库）

一．资源链接网址：

/content/531738144r0p6rt0/?p=97bac3d798144832bfa1cd73e591ebac&pi=23

Zhang Xiaoyan1 , Wang Bin2, Ji Zhongzhen1, Qingnong Xiao2 and Zhang Xin1

(1) LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029 Beijing

(2) Mesoscale and Microscale Meteorology, National Center for Atmospheric Research,

Boulder, Colorado, USA

Received: 4 June 2002 Revised: 8 April 2003

Abstract The MM5 and its four dimensional variational data assimilation (4D-Var) system are used in this paper. Based on the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data, the authors generate an optimal initial condition for a typhoon by using the bogus data assimilation (BDA) scheme. BDA is able to recover many of the structural features of typhoons including a warm-core vertex, the correct center position, and the strong circulation. As a result of BDA using a bogus surface low, dramatic improvement is achieved in the 72 h prediction of typhoon Herb. Through several cases, the initialization by BDA effectively generates the harmonious inner structure of

the typhoon, but which is lacking in the original analysis field. Therefore the intensity forecast is improved greatly. Some improvements are made in the track forecast, but more work still needs to be done.

Key words variational data assimilation - bogus

scheme - BDA - Typhoon Herb - numerical simulation

Zhang Xiaoyan

翻译：

张晓燕1王滨2，姬中侦1，情浓肖，张新1 2

（1）北京大气物理研究所，100029，中国科学院

（2）中尺度和微尺度气象，美国国家大气研究中心，科罗拉多州

收稿日期：2002年6月4日修订日期：2003年4月8日

摘要：MM5模式和四维变分资料同化（万字，无功）系统中使用此文件。根据研究（国家环境预报中心/国家大气研究中心利用NCEP / NCAR）的再分析资料，作者为一台风生成条件的初步优化利用虚假数据同化（BDA）的计划。北京经济技术开发区，是能够恢复的正确立场的许多中心，台风的结构特征，包括一个温暖的核心点，强循环低点。水面结果使用虚假的北京经济技术开发区，取得了显着改善的72小时预报贺伯台风。通过几次的情况下，北京经济技术开发区通过有效初始化生成的台风内部结构的和谐，但它是在原领域缺乏分析。因此，强度的预测大大提高。进行了一些改进的路径预报，但仍有更多的工作需要做。

关键词：分资料同化-假计划-北京经济技术开发区-贺伯台风-数值模拟张晓燕

二．资源链接网址：

/content/b514v08028658q61/?p=97bac3d798144832bfa1cd73e5 91ebac&pi=21

Xiao-yun Zhang5 and Ying Wu5

(5) Dept. of electrical information engineering, Chongqing University of Science and

Technology, Chongqing, 401331, China

Abstract

An analysis model based on Data Mining is constructed for the power system voltage stability. Improvements of the traditional model of Data Mining are proposed. Data warehouse is established. Data preprocessing and data compression module are derived. The corresponding algorithms are also studied. Support vector machine is provided and discussed emphatically. There are a lot of advantages in this model such as contrary verification and self-perfect. An example is shown in order to testify the feasibility of this model.