EDDBMS中的OEDDL与OEDML的研究与实现

ＥＤＤＢＭＳ是自行开发的面向对象的工程数据库管理系统。本文介绍了它的数据库建模语言和操纵语言的设计思想和实现方法，它对ＳＴＥＰ标准的信息建模语言Ｅｘｐｒｅｓｓ的支持。给出了采用面向对象方法实现的ＥＤＤＢＭＳ建模子系统和操纵子系统的总体框架、支持面向对象特征的数据字典的结构以及继承和封装的实现方法     

电站仿真器模型开发支撑系统研究

对电站仿真器模型开发支撑系统（ＰＳＭＳＳ）的研究，目的是为大型火力发电站培训仿真器的研制提供了一个有效的模型开发工具，ＰＳＭＳＳ系统由三个子系统组成：模块库管理系统，模型生成系统，模型试验系统，ＰＳＭＳ系统支持用户进行模块开发，模型生成和仿真试验等方面的工作，有效地加快了电站仿真器的研制过程。     

STEP信息集成软件工具的设计和实现

ＳＴＥＰ是国际标准化组织ＩＳＯ正在组织开发的应用于计算机集成制造系统（ＣＩＭＳ）信息集成的产品数据表达与交换标准，ＳＴＥＰ不仅是一种规范，更是一种信息集成技术，本文以ＣＡＤ／ＣＡＰＰ／ＣＡＭ系统集成为背景，提出了ＳＴＥＰ信息集成支持工具ＥｘＴｒａ的设计和实现技术，该软件工具已成功且有效地应用于ＣＡＤ／ＣＡＰＰ／ＣＡＭ系统集成中。     

支持智能体的通讯原语库系统GKD－APS的设计与实现

ＧＫＤ－ＡＰＳ是我们基于面向智能体程序设计范例，设计并实现的一个支持智能体相关概念及智能体间消息通讯的Ｐｒｏｌｏｇ解释器。它同时引入了智能体、精神状态、知识、信念、承诺、能力及智能体间的消息通讯等概念，并提供了对这些概念的直接支持。ＣＫＤ－ＡＰＳ为实现多智能体间的知识通讯和合作运行，构造多智能体系统提供了基础，有效地支持了分布式知识系统的研究和开发。本文首先介绍了当前国际上关于智能体及面向智能体范例的研究进展，其次描述了ＧＫＤ－ＡＰＳ所涉及的基本概念及所实现的通讯原语的操作语义，然后给出了系统的构成及主要实现技术，最后介绍了ＧＫＤ－ＡＰＳ所提供的智能体操作原语。     

STEP标准数据库实现方式的研究

本文介绍ＳＴＥＰ标准的一种数据库实现方式，它基于作者自主开发的面向对象数据库管理系统－ＯＳＣＡＲ系统。文章从系统环境、数据类型、映射规则、操作、一致性、语言联编等六个方面概要阐述了ＳＴＥＰ标准数据库实现方式，并说明了它和ＳＴＥＰ中性文件、ＳＤＡＩ两种实现方式的关系。     

基于STEP的产品数据表示和交换的研究

本文介绍了ＳＴＥＰ标准的概念和原理，基于ＳＴＥＰ标准对各种计算机辅助系统进行集成的策略，以及ＳＴＥＰ模型描述语言ＥＸＰＲＥＳＳ的编译器的实现和ＧＨＭｏｄｅｌｉｎｇ４．０的ＳＴＥＰ中性文件前后处理器的实现，语言轩讨论了ＳＴＥＰ标准的实现原理、ＥＸＰＲＥＳＳ编译器的作用、ＳＤＡＩ数据字典结构、ＳＴＥＰ中性文件的前后处理过程和应用协议在产品数据交换中的应用。     

关系数据库上SDAI实现的研究

ＳＤＡＩ是ＳＴＥＰ的数据接口规范，它为工程应用与ＥＸＰＲＥＳＳ描述的数据模型间定义了一个功能界面。本文讨论了关系数据库上ＳＤＡＩ实现的方法，阐述了ＳＴＥＰ模型与关系模型的一种转换机制，开发了关系数据库上数据交换ＳＤＡＩ接口函数库，为ＳＴＥＰ的工程应用奠定了基础     

并行工程中的产品数据库技术

本文首先概略介绍了并行工程及其研究现状，接着探讨企业信息产品数据库体系结构的建立，解释了如何利用ＳＴＥＰ中的ＥＸＲＥＳＳ语言对产品数据进行了面向对象的建模，最后论述产品数据库支持并行设计工作的几个关键问题的技术实现机制。     

基于Java的SDAI实现

该文介绍了采用Ｊａｖａ作为ＳＤＡＩ联络语言实现ＳＴＥＰ标准的机制,其中包括ＥＸＰＲＥＳＳ语言与Ｊａｖａ的映射、ＳＤＡＩ操作的定义与实现,并讨论了不同实现方法需要解决的技术问题。     

基于STEP的曲线曲面造型技术

ＳＴＥＰ做为新一代的产品数据交换标准，正在被越来越多的ＣＩＭＳ系统所青睐，本文介绍了ＳＴＥＰ的特点，特别是对ＳＴＥＰ中做为曲线曲面造型系统设计基础的几何与拓扑集成资源作了较深入的解剖和分析，并在此基础上提出了一个基于ＳＴＥＰ的曲线曲面造型系统ＡＤＤＳＳ。     

检查机构认可风险管理决策支持系统的研究

该文介绍CNAS认可风险管理的决策支持系统。此系统基于网络平台,通过引入检查机构、检查人员、测评模型和知识库对评估过程利用层次分析法的模型进行风险评估,根据评估结果发现各个评审环节的风险的高低,为评审提供决策支持。     

Making decisions on brain tumor diagnosis by soft computing techniques

In this paper, a synergy of advanced signal processing and soft computing strategies is applied in order to identify different types of human brain tumors, as a help to confirm the histological diagnosis of experts and consequently to facilitate the decision about the correct treatment or the necessity of an operation. A computational tool has been developed that merges, on the one hand, wavelet transform to reduce the size of the biomedical spectra and to extract the main features, and on the other hand, Support Vector Machine and Neural Networks to classify them. The influence of some of the configuration parameters of each of those soft computing techniques on the clustering is analyzed. These two methods and another one based on medical knowledge are compared. The classification results obtained by these computational tools are promising specially taking into account that medical knowledge has not been considered and that the number of samples of each class is very low in some cases.     

A review of Multi-Agent Systems techniques, with application to Columbus User Support Organisation

This paper reviews an advanced Knowledge-Based Systems architecture based on multiple agents. An agent is a software entity with autonomous processing capabilities and a private database, which acts on its environment on the basis of information it receives from its environment, perceives, processes, retains and recalls. Multi-Agent Systems (MAS) are systems of agents which coordinate their knowledge, goals, skills and plans jointly to take action or to solve problems, including the problem of inter-agent coordination itself. This paper shows how such an architecture is being applied by a Dutch consortium to a part of the Columbus User Support Organisation (USO).

In the first part of the paper, Multi-Agent Systems techniques are placed into the context of Distributed Artificial Intelligence (DAI). Technical issues at the system architectural and agent structural levels are highlighted. The needs for intentionality (i.e. the ability of one agent to model another), acting, planning (both reactive and generative), and learning are identified.

The second part of the paper shows how MAS techniques may be applied to the In Orbit Infrastructure Ground Segment (IOI-GS) and, in particular, to the Columbus USO. The relevant features of the IOI-GS and the USO, including mission and experiment control hierarchies, are outlined, identifying potential applications of MAS techniques. The functions of a national User Support Operations Centre (USOC) are listed, and two functions are described in more detail, as they are expected to be implemented in The Netherlands' USOC (named the ‘Dutch Utilisation Centre’). A uniform MAS-based architecture is presented that is designed to support both functions. Prototype implementations of key parts of this architecture are described. Conclusions are drawn from the work performed so far.     

基于面向对象模型库的商业决策支持系统

目前,管理信息系统(MIS)已经在我国商业企业中得到了广泛的应用。但目前商业中的管理信息系统仍然还停留在基本事务处理的阶段,为决策者提供决策支持的功能比较弱。解决这一问题的途径是设计一套基于MIS的商业决策支持系统。决策支持系统是利用各种数据、信息、知识,特别是模型技术,辅助各级决策者解决结构化、半结构化决策问题的人机交互系统。该系统采用了模型/方法库、数据库、会话控制系统三模块的总体架构。模型/方法库的设计和管理是该系统的核心和难点所在。该文提出了利用面向对象技术实现模型/方法库的构造,参考数据库管理模式来管理模型库。预测是决策的基础。由于不同的模型针对不同的商业经营数据─主要表现为离散随机型的时间序列值─的预测效果不同,文章提出了一种思路,通过比较各预测模型的预测误差,选择出最优的预测模型,解决了多模型预测的自适应问题。该文所提出的模型的定义方法、模型/方法库的构造思路,基本上是一种通用的模型设计思路,对于其它决策支持系统的设计也有一定的参考作用。     

USING META-PROGRAMMING,CONSTRAINT LOGIC PROGRAMMING AND APPROXIMATE REASONING FOR EXPERT SYSTEMS DESIGN

Abstract

This paper presents an enhancement of the CARESS system—A Constraint Approximative Reasoning System Support—introduced in (Popescu and Roventa, 1994). CARESS is an experimental system with primarily two objectives:

(1)knowledge representation and manipulation techniques and to implement them in PROLOG III, and

(2) to develop a knowledge programming environment for building expert systems. We discuss here the use of meta-programming, constraint logic programming and approximate reasoning for the design of expert systems

It has already been proven that meta-programming and logic programming are powerful techniques for expert system design. Fuzzy logic can be used to model one kind of uncertainty. Constraint logic programming is useful for dealing with the constraints given by operations using fuzzy sets.     

综合决策支持系统中数据挖掘功能的设计与实现

通过对现有综合决策支持系统的架构分析,根据需要增加了一个中间件子系统部分,并进一步研究在该架构下如何利用数据挖掘技术来实现对决策主题数据的综合,即应该采取何种数据挖掘技术以及如何获取知识提供给综合决策支持系统;最后以灰色系统理论的建模法为例,给出了具体的理论、算法以及实现步骤与方法,可以为相关系统的设计与研究提供一定的借鉴和参考。     

基于SVM的先分类再回归方法及其在产量预测中的应用

针对非线性问题,提出了基于支持向量机分类基础的先分类、再回归的预测方法。根据实际需要和专业知识先将样本集进行分类,判别测试样本的类别后,再利用回归算法预测测试样本的值。利用这一算法进行粮食产量预测,并与其他模型预测结果相比,准确度远优于其他产量预测方法。实验说明：先分类、再回归得到的拟合值比直接利用回归得到的拟合值要精确。     

Evaluating mobile apps for breathing training: The effectiveness of visualization

Deep and slow breathing exercises can be an effective adjunct in the treatment of stress, anxiety, post-traumatic stress disorder, chronic pain and depression. Breathing techniques are traditionally learned in courses with trainers and/or with materials such as audio CDs for home practice. Recently, mobile apps have been proposed as novel breathing training tools, but to the best of our knowledge no research has focused on their evaluation so far. In this paper, we study three different designs for breathing training apps. The first employs audio instructions as in traditional training based on audio CDs, while the other two include visualizations of the breathing process, representative of those employed in current breathing training apps. We carry out a thorough analysis, focusing on users’ physiological parameters as well as subjective perception. One visualization produces better results both objectively (measured deepness of breath) and subjectively (users’ preferences and perceived effectiveness) than the more traditional audio-only design. This indicates that a visualization can contribute to the effectiveness of breathing training apps. We discuss which features could have allowed one visualization (but not the other) to obtain better results than traditional audio-only instructions.     

一种协同式智能决策支持系统的研究与实现

智能决策支持系统（IDSS）是决策支持系统（DSS）的重要研究方向，本文将专家系统知识看作IDSS知识的组成要素，在给出异构知识一描述的基础上，研究了协同式IDSS的协同机制，提出了一种协同式IDSS（CIDSS）模型。     

浅谈图书管理方法在经济指标数据库中的运用

大量的经济指标数据是经济决策支持系统的基础,原始数据的处理对整个系统的成败起着决定性作用。没有良好的数据库设计,就无法保证系统正常高效的运行。文章以图书馆图书管理方法为思路,介绍了具有多复杂指标、海量数据的经济决策支持系统的数据库设计,并给出了设计思路与设计机理。