现役水工钢闸门结构可靠性鉴定时荷载取值分析

采用类比法确定现役水工钢闸门结构的荷载评估基准期。以静水压力为例，得了其在荷载评估基准期内的统计参数，讨论了闸门主梁受弯碱坏时可靠指标随继续使用期的变化。     

现代电子工业Cpk评价中的特殊问题

现代电子工业生产具有许多新的特点，如果不针对具体情况，均采用传统工业生产中广泛使用的常规方法计算其工序能力指数，评价生产工艺水平，将可能导致错误的结论。总结了电子工业生产中工艺参数的典型特点，并讨论了工序能力指数的正确计算方法。     

低孔隙度条件下阿尔奇含水饱和度解释模型改进

常用的阿尔奇公式是均匀较高孔隙度砂岩条件基础上岩电实验的结果,但在各种实际地层应用中存在一些不确定性.通过岩电实验数据分析研究了低孔隙度条件下地层因素F和饱和度指数n与孔隙度的关系,发现地层因素F和饱和度指数n都与孔隙度呈多次函数关系.从而直接用孔隙度求取地层因素F和饱和度指数n,而孔隙度可以很容易地用测井资料直接求取,所以实现饱和度模型中大部分参数直接用测井资料求取的目的,大大提高了含水饱和度的求取精度.     

正确选择气顶油藏高效开发模式

通过对不同类型气顶油藏的油气水分布特征及气顶和边水能量的研究分析，计算水侵量与边水体积及合理的弹性产率。提出适合气顶油藏特点的开发模式是先开采油区后开采气顶，并以唐家河油田港深18—2断块为例，证明采用该模式可以高效开发气顶油藏。图3表1参6     

Development of a recurrent Sigma-Pi neural network rainfall forecasting system in Hong Kong

At the moment, weather forecasting is still an art — the experience and intuition of forecasters play a significant role in determining the quality of forecasting. This paper describes the development of a new approach to rainfall forecasting using neural networks. It deals with the extraction of information from radar images and an evaluation of past rain gauge records to provide shortterm rainfall forecasting. All of the meteorological data were provided by the Royal Observatory of Hong Kong (ROHK). Preprocessing procedures were essential for this neural network rainfall forecasting. The forecast of the rainfall was performed every half an hour so that a storm warning signal can be delivered to the public in advance. The network architecture is based on a recurrent Sigma-Pi network. The results are very promising, and this neural-based rainfall forecasting system is capable of providing a rain storm warning signal to the Hong Kong public one hour ahead.     

基于信息的智能控制理论研究

本文介绍的基于信息的智能控制理论的发展过程，主要分为智能控制的信息指标和智能控制的信息结构分析两部分，文中在最后对这套理论可能的发展方向进行了探讨。     

地面反射波谱与卫星磁带记录数据间关系模拟的初步探讨──以冬小麦和土壤为例

根据冬小麦和土壤地面反射波谱测试数据，计算了在卫星高度上与卫星磁带数据相对应波段的辐亮度值，对ＮＯＡＡＡＶＨＲＲ和ＴＭ某些通道的差值绿度植被指数ＤＶＩ、归一化绿度植被指数ＮＤＶＩ和比值绿度植被指数ＲＶＩ的分析，从理论上证明了目前采用ＴＭＤＶＩ＿（４，３）提取冬小麦种植面积和ＮＯＡＡＮＤＶＩ＿（２，１）区分植被和土壤背景的有效性。同时在冬小麦种植面积和长势监测方面提出了一些新建议。     

Management of multidimensional discrete data

Spatial database management involves two main categories of data: vector and raster data. The former has received a lot of in-depth investigation; the latter still lacks a sound framework. Current DBMSs either regard raster data as pure byte sequences where the DBMS has no knowledge about the underlying semantics, or they do not complement array structures with storage mechanisms suitable for huge arrays, or they are designed as specialized systems with sophisticated imaging functionality, but no general database capabilities (e.g., a query language). Many types of array data will require database support in the future, notably 2-D images, audio data and general signal-time series (1-D), animations (3-D), static or time-variant voxel fields (3-D and 4-D), and the ISO/IEC PIKS (Programmer's Imaging Kernel System) BasicImage type (5-D). In this article, we propose a comprehensive support ofmultidimensional discrete data (MDD) in databases, including operations on arrays of arbitrary size over arbitrary data types. A set of requirements is developed, a small set of language constructs is proposed (based on a formal algebraic semantics), and a novel MDD architecture is outlined to provide the basis for efficient MDD query evaluation.     

抗震结构变形能力可靠度的时程分析方法

采用可靠指标β来度量抗震结构可靠度．取结构失效准则为：地震作用下结构层间位移响应超越结构层间位移能力限值．将时程分析方法与ＪＣ方法结合，建立了计算抗震结构变形能力可靠指标β的时程分析方法．     

低频电脉冲采油工程设备的开发与应用

低频电脉冲采油技术是通过升压、整流、充电等电路将电能蓄积在电容器中,通过触发电路,使能量瞬时释放,在井内液体中产生震动波,作用于地层,改善地层的渗流状况,达到提高采收率的目的。Ⅰ型设备在双河油田应用11井次,成功率72%;Ⅱ型设备在古城油田应用10井次,成功率90%。主要是由于Ⅰ型设备关键部件在处理油井时要放在井下,受高温、高压的影响及井下空间的限制,设备稳定性差、寿命短、能量小、效果差;Ⅱ型设备解决了上述问题,从而提高了试验成功率。