Visual Prolog的DDE机制研究

对Visual Prolog的DDE机制进行了研究.首先介绍了动态数据交换技术及其工作原理,简明概括了Visual Prolog的功能、特点以及在专家系统、规划和其它AI相关问题求解方面的优势,其次阐述了Visual Prolog的DDE机制,列出了Visual Prolog中18个DDE谓词和13个DDE事件,分别介绍了作为客户机时,一个典型的请求从其他应用程序输入数据的Visual Prolog程序的关键步骤和作为服务器时,一个典型的响应其他应用程序请求数据的Visual Prolog程序的关键步骤.最后给出了一个Visual Prolog DDE机制应用的实例.     

基于数据融合树的C3I信息融合系统体系结构设计

 在分析了基于范例的体系结构-数据融合树的基本概念及其不足之处的基础上,提出了基于数据融合树的信息融合系统体系结构设计方法,论述了该方法的原理,并应用该方法进行了C³I信息融合系统的体系结构设计,包括数据融合树的设计、融合节点体系结构设计、处理系统的体系结构设计和并行处理结构设计。     

数据仓库系统体系结构及相应构建策略研究

数据仓库系统的体系结构是数据仓库领域的一个研究重点,在分析传统数据仓库系统体系结构基础上,提出了基于ODS的紧密耦合型、松散耦合型、信息发布型结构及相应的构建策略。从技术实现角度提出了同构系统、异构系统、数据仓库的技术平台结构。     

Optimal assimilation for ionospheric weather – Theoretical aspect

Observation, specification and prediction of ionospheric weather are the key scientific pursuits of space physicists, which largely based on an optimal assimilation system. The optimal assimilation system, or commonly called data assimilation system, consists of dynamic process, observation system and optimal estimation procedure. We attempt to give a complete framework in this paper under which the data assimilation procedure carries through. We discuss some crucial issues of data assimilation as follows: modeling a dynamic system for ionospheric weather; state estimation for static or steady system in sense of optimization and likelihood; state and its uncertainty estimation for dynamic process. Meanwhile we also discuss briefly the observability of an observation system; system parameter identification. Some data assimilation procedures existed at present are reviewed in the framework of this paper. As an example, a second order dynamic system is discussed in more detail to illustrate the specific optimal assimilation procedure, ranging from modeling the system, state and its uncertainty calculation, to the quantitatively integration of dynamic law, measurement to significantly reduce the estimation error. The analysis shows that the optimal assimilation model, with mathematical core of optimal estimation, differs from the theoretical, empirical and semi-empirical models in assimilating measured data, being constrained by physical law and being optimized respectively. The data assimilation technique, due to its optimization and integration feature, could obtain better accurate results than those obtained by dynamic process, measurement or their statistical analysis alone. The model based on optimal assimilation meets well with the criterion of the model or algorithm assessment by ‘space weather metrics’. More attention for optimal assimilation procedure creation should be paid to transition matrix finding, which is usually not easy for practical space weather system. High performance computing hardware and software studies should be promoted further so as to meet the requirement of large storage and extensive computation in the optimal estimation. The discussion in this paper is appropriate for the static or steady state or transition process of dynamic system. Many phenomena in space environment are unstable and chaos. So space environment study should include and integrate these two branches of learning. This revised version was published online in August 2006 with corrections to the Cover Date.     

Oracle分布式数据库的创建策略

在远程网络环境下，由多个分散数据库组成的管理信息系统在当前十分普及，如何采用最小代价将分散数据库整合成准分布式数据库系统是一个迫切需要解决的问题。Oracle的分布式数据库功能允许用户将多个站点上的数据库作为一个逻辑上的整体，数据一致性、完整性及安全性都得以实现。在阐述了如何使用Oracle建立分布式数据库基础上，提出了解决数据复制问题的方法。实践证明，Oracle可以提供完备的方案建立分布式数据库。     

某型飞行数据记录器防护壳体强度性能分析

本文对飞行数据记录器防护壳体，在试验已经验证其强度性能符合要求的基础上，用ANSYS软件分析防护壳体的强度性能，从理论上证明其符合各项标准的强度要求。     

战术数据链中纠错编码技术的设计

战术数据链是现代战场及时有效管理和了解高密集、快速变化的作战态势,传送信息的链路或网络,为作战飞机提供抗干扰、保密的数据通信和数字语音,同时要求信息的传输、处理、分发要做到安全、及时和有效,因此纠错编码技术在其中的作用显得尤为重要。本文讨论了战术数据链中的RS纠错编/译码的具体设计方法,对其纠错性能进行了研究,并进行了仿真。     

基于点对点模式的消息机制与数据传输

讨论了一种适合分布式多数据库系统结构的基于点对点通信模式的消息机制与数据传输问题,并给出了一个应用实例。     

基于PDM的协同工艺管理系统研究及实现

针对工艺信息系统对多用户协同工作与管理功能的需求,详细论述了在PDM平台上,基于WEB的协同工艺管理系统的体系结构和关键实现技术。     

多目标无源跟踪中的多特征模糊综合数据关联算法

提出了一种多目标无源跟踪中的数据关联算法———多特征模糊综合数据关联算法。首先基于目标特征关联因子模型,进行单跟踪门的多特征数据关联模糊评估,得到单跟踪门内的有效观测与真实目标的模糊关联程度,在此基础上,进行了多目标数据关联模糊综合评估,得到多目标整体模糊关联程度,最后进行多目标关联判决。由于该算法综合利用了目标更多的特征信息,所以比传统的NN方法有更好的关联性能,计算机仿真表明,它比NN方法的错误关联率约低15%。