基于EAI技术的银行服务整合架构模式研究

介绍了EAI技术的基本概念,根据EAI技术的基本思想,结合国内商业银行IT系统发展的现状,提出了一种实现银行服务整合的架构模式。重点阐述了该技术架构的分层结构及其每一层需要实现的功能。     

基于数据交换平台的机场信息整合设计与实现

随着杭州萧山国际机场信息化应用的不断深入,对数据交换和数据共享的需求越来越强烈,信息资源整合已成为机场信息化建设的核心内容之一.从机场信息化的实际需求出发,论述了分布式异构数据环境下数据交换平台实现机场数据整合的构建方案,从整体架构设计、系统逻辑结构和工作机制三个方面对交换平台作了详述.目前,该平台已上线使用,并在机场信息整合中起到了良好的作用.     

多源数据更新地理空间数据库的理论与关键技术

地理空间数据整合与更新是目前国际地理信息科学界的前沿课题。数字合并计算、多尺度空间数据集成计算环境是有效的空间数据整合实现技术,多源空间数据统一资源信息服务平台是实现整合空间信息服务的有效途径,利用卫星遥感影像数据和应用GIS空间目标综合技术更新空间数据库是有效的空间数据库更新技术途径。论文对空间数据整合和更新的理论及技术进行了较为全面的分析,指出地理空间数据库整合增强并丰富了空间数据库的服务能力,地理空间数据库更新提升了地理空间信息服务的质量和价值。     

浅析我国企业信息化建设

介绍了企业信息化的概念、特点及存在的问题,论述了企业信息化建设的重要性,并从多个角度阐述了企业信息资源建设必须考虑的几个问题。     

基于CAN空间机器人智能手爪数据通讯设计

提出利用CAN总线实现空间机器人多传感器智能手爪系统数据采集单元间通讯的方法,并将其运用到多传感器智能手爪运动控制系统中.同时结合高性能微转换器ADuC812确定了合理的通讯硬件结构,有效地解决了多传感器系统大信息量传输时存在的"瓶颈"问题.     

论高校图书馆文献信息资源的整合

介绍了文献信息资源整合的含义,对高校图书馆文献信息资源整合的优势、形式、发展趋势进行了研究,以期能更好地为学校的教学、科研及社会的经济发展服务。     

三维荧光区域积分法评估不同植物对溶解性有机物去除效果

以滏阳河复合人工湿地为研究主体,通过三维荧光光谱结合荧光区域积分方法、同步荧光分析方法,研究不同植物对溶解性有机物的净化效果。研究结果表明:滏阳河水体接纳城市污水后,蛋白类有机物为主要的污染物,占到了70.62%。不同植物对5个区域的有机物去除效果有所差异,6种植物中美人蕉对区域Ⅰ(酪氨酸类蛋白物质)去除效果较好,去除率达到了17.84%;水葱对区域Ⅱ(色氨酸类物质)的去除最好,去除率达到了26.97%;睡莲对区域Ⅲ(紫外区类富里酸)的去除率最高,为30.61%;香蒲对区域Ⅳ(微生物代谢产物)的去除率最高,为28.08%;香蒲和芦苇对区域Ⅴ(可见光区类富里酸)的去除分别达到了43.55%和42.30%。三维荧光光谱结合荧光区域积分方法,能够分析水体中有机物的相对变化情况,可以作为一种定量分析溶解性有机物的有效方法。     

Performance of GARCH models in forecasting stock market volatility

This paper studies the performance of GARCH model and its modifications, using the rate of returns from the daily stock market indices of the Kuala Lumpur Stock Exchange (KLSE) including Composite Index, Tins Index, Plantations Index, Properties Index, and Finance Index. The models are stationary GARCH, unconstrained GARCH, non‐negative GARCH, GARCH‐M, exponential GARCH and integrated GARCH. The parameters of these models and variance processes are estimated jointly using the maximum likelihood method. The performance of the within‐sample estimation is diagnosed using several goodness‐of‐fit statistics. We observed that, among the models, even though exponential GARCH is not the best model in the goodness‐of‐fit statistics, it performs best in describing the often‐observed skewness in stock market indices and in out‐of‐sample (one‐step‐ahead) forecasting. The integrated GARCH, on the other hand, is the poorest model in both respects. Copyright © 1999 John Wiley & Sons, Ltd.     

Forecasting with missing data: application to coastal wave heights

This paper presents a comparative analysis of linear and mixed models for short‐term forecasting of a real data series with a high percentage of missing data. Data are the series of significant wave heights registered at regular periods of three hours by a buoy placed in the Bay of Biscay. The series is interpolated with a linear predictor which minimizes the forecast mean square error. The linear models are seasonal ARIMA models and the mixed models have a linear component and a non‐linear seasonal component. The non‐linear component is estimated by a non‐parametric regression of data versus time. Short‐term forecasts, no more than two days ahead, are of interest because they can be used by the port authorities to notify the fleet. Several models are fitted and compared by their forecasting behaviour. Copyright © 1999 John Wiley & Sons, Ltd.     

An intelligent business forecaster for strategic business planning

In this paper an intelligent business forecaster for strategic business planning is presented. The forecaster is basically a multi‐layered fuzzy rule‐based neural network which integrates the basic elements and functions of a traditional fuzzy logic inference into a neural network structure. It has also been shown to be superior to two commercially available business forecasters in terms of learning speed and forecasting accuracy. This paper presents the architectural design of the intelligent business forecaster and the results of a study that has been carried out to compare its performance with that of the others. Copyright © 1999 John Wiley & Sons, Ltd.