实时面向对象建模方法ROOM与OCTOPUS的分析与比较

ROOM和 OCTOPU S是比较常用的两种实时面向对象建模方法 .本文从模型描述、类、对象与继承、并发性、状态图几个方面比较这两种方法中有明显差异的基本思想 ,并得出 :从某种程度上 ,ROOM较 OCTOPUS优越的结论 .     

掌握Photoshop和Illustrator！——绘制贴图的超级技巧

纹理是CG制作中非常重要的元素之一，通常使用Photoshop和Illustrator描绘。下面，我们按照“FOOD”、“CLOTHES”、“GOODS”、“ROOM”几个分类对纹理的描绘进行说明。     

图像处理软件Kai‘s Power Goo

不久前我试用了MetaTools的Kai’s Power Goo图像处理软件(以下简称KPG),立刻被一段有声有色且让人忍俊不禁的演示程序所吸引。该软件中用来处理图像的KPG“刷子”,可以产生许多特殊、有趣的处理效果。KPG的增强版中,在IN ROOM界面里有“从数字照相机输入图像”的功能。     

基于Web的实时信息集成系统的开发与应用

本文在介绍扬子公司炼油厂实时信息集成系统结构的基础上，重点介绍了实时数据采集，实时数据库组态以及各种Web页面的设计方法。     

HT-RTU操作系统总体方案设计

本文介绍了UNIX实时化的由来,UNIX当前的国际状况,传统UNIX在实时应用中存在的缺陷及UNIX实时化需要解决的问题,并结合具体的UNIX实时化实例,介绍了UNIX在实时化工作过程中,进行各系统功能的改进和增强过程中要考虑的问题,讨论了系统实时性能指标的测试方法。     

试论计算机实时数据库质量评估模型的设计

实时数据库是以实时数据为存储对象的数据库平台软件,而对计算机实时数据库质量评估模型的设计是保证计算机数据库系统良好快速运行的关键技术。本文通过对计算机实时数据库的特点介绍及对其的质量要求,介绍了实时数据库质量评估模型的设计原理及对其的构造设计和层次设计方法,来对计算机实时数据库系统进行较好的质量监控。     

Solaris 8操作系统实时能力的分析

随着实时应用变得越来越重要,人们希望能在Solaris等通用操作系统上开发和部署实时应用。对Solaris8操作系统的实时能力进行了分析,介绍了一个实时应用实例,提供了丰富的实时特性和良好的实时环境。     

基于ASPEN InfoPlus．21软件的实时数据库的实现

介绍了一个基于ASPEN InfoPlus，21软件建立起来的企业实时数据库系统实例，以一个分厂液化装置的现场实时数据采集为例，重点介绍了生产装置控制系统中过程数据的采集，以及如何将大型实时数据库与ERP系统有效集成，实现数据信息共享，搭建企业大型实时数据平台。     

故障诊断专家系统实时数据库获取现场实时数据的方法

介绍了如何将过程计算机采集的现场实时数据及时、准确地写入在ＰＣ上运行的实时故障诊断专家系统实时数据库的方法。     

基于实时多处理器操作系统内核的视频终端研究

介绍一种基于实时多处理器操作系统内核的视频终端设计，其中主要介绍了终端的系统结构和基于实时多处理器操作系统内核下本系统的关键编程技术。     

一种实时面向对象设计方案及其在民航塔台模拟机中的实现

针对实时仿真系统设计的特殊性,文章介绍了一种ＴＩＭ（有限自动机）为基础的ＲＯＯＭ（Ｒｅａｌ－ｔｉｍｅ Ｏｂｊｅｃｔ Ｏｒｉ－ｅｎｔｅｄ Ｍｏｄｅｌｉｎｇ）实时面向对象建模方案,该方案用于软件系统的设计与实现可使系统在对象化、可维护性方面有较好的性能。笔者在Ｃ＋＋语言的基础上实现了这一ＲＯＯＭ框架,并用于新一代塔台模拟机的设计与实现中。这种ＲＯＯＭ设计方法也适用于其它大型实时系统如ＤＩＳ的实现。     

改装浅谈：“鼠一鼠二”改装套餐大比拼——本田Civic(思域)音响升级三大“美味”套餐

本田Civic(思域)颇受车主朋友喜爱,是目前世界上最畅销的紧凑型家用轿车之一。它用于搏杀战场的主要武器是时髦的外形和前卫的内饰设计。除此以外,舒适的驾乘感以及良好的燃油经济性也是它擅长的技艺。由于其原车音响系统并不复杂。而且提供了足够宽敞的空间,所以它特别适合于音响改装。     

Evaluating real-time software specification languages

In recent years, many notations and methods in real-time software engineering have been proposed. However, thorough experimentation to evaluate these notations and methods has not been carried out. This paper focuses on real-time software engineering specification languages: Unified Modeling Language (UML), Real-Time Object-Oriented Modeling Language (ROOM), Modecharts, statecharts, Mealy and Moore machines, finite state machines, classical logic, Z, ASTRAL, temporal logic, FNLOG, linear logic, Timed Communicating Sequential Processes (TCSP), Temporal Calculus of Communicating Systems (TCCS), ρ1, and Multilevel Specification. The basis for evaluating these software engineering specification languages is by using the Turing machines and Interaction machines. We classify them based on their computational capabilities.     

OPEN: toward method convergence?

In the object-oriented (OO) field, methods for analysis and design are a major area of interest. Many such methods have been proposed in the past few years, leading to numerous requests for convergence or unification. The authors describe such an effort. Theirs is not the only ongoing attempt at unification, but it has already attracted considerable interest. The aim of the Omega project, leading to the OPEN (Object-oriented Process, Environment and Notation) methodology, is a process model for system development across the full life cycle, including reuse strategies and legacy systems. In addition, OPEN will support human-computer interaction, concurrency, databases, distributed systems, fuzzy logic, artificial intelligence and intelligent agents. OPEN is a true third-generation methodology, incorporating many ideas from other methodologies. These include BON, FOOM, Martin/Odell, MOSES, OBA, OOram, RDD, ROOM, SOMA and Syntropy. Thus, OPEN is not just another methodology. Rather than adding one more to the overall count of current OO methodologies, the OPEN framework will significantly decrease the number of available available methods by superseding MOSES, SOMA, Martin/Odell and others     

Cell modeling with reusable agent-based formalisms

Biologists are building increasingly complex models and simulations of cells and other biological entities, and are looking at alternatives to traditional representations. Making use of the object-oriented (OO) paradigm, the Unified Modeling Language (UML) and Real-time Object-Oriented Modeling (ROOM) visual formalisms, and the Rational Rose RealTime (RRT) visual modeling tool, we summarize a previously-described multi-step process for constructing top-down models of cells. We first construct a simple model of a cell using an architecture in which all objects are containers, agents, or passive objects. We then reuse these architectural principles and components to extend our simple cell model into a more complex cell, the goal being to demonstrate that encapsulation familiar to artificial intelligence researchers can be employed by systems biologists in their models. A red blood cell is embedded in a straight-forward manner within a larger system, which is in turn iteratively embedded within still larger systems, including a blood vessel, a circulatory system, a human being, and a simple ecology. Each complexity increment reuses the same architectural principles, including the use of agents, each of which continuously either moves passive small molecules between containers, or transforms these passive objects from one type into another. We show how it is possible to start with a direct diagrammatic representation of a biological structure such as a cell, using terminology familiar to biologists, and by following a process of gradually adding more and more detail, arrive at a system with structure and behavior of arbitrary complexity that can run and be observed on a computer.     

基于积分方程的连续模型辨识与仿真

大多数实际物理系统的模型本质上是连续的，连续时间模型为物理系统的行为提供了更好的解释。提出了一种采样数据中存在高频有色噪声的连续模型辨识方法，该方法通过引入积分运算，将连续时间系统的微分方程模型转换为积分方程模型，从而使噪声的影响可以忽略，然后直接利用传统的最小二乘法估计出系统的连续时间模型参数。该方法具有较强的抗有色噪声干扰的鲁棒性、计算方法简单、参数辨识精度高等优点。仿真实例验证了该方法的有效性和可行性。     

滞后不确定系统的无辨识自适应智能控制方法

针对带有大纯滞后、不确定性的工业过崔，提出一种无需辨识的自适应智能控制方法。该方法不需要对过程建立数学模型，只要检测过程的实际输出和期望输出，通过模糊预测控制来自正单神经元自适应PSD控制律，即可以对滞后不确定、建模困难的工业过程实现自适应控制。仿真结果表明用该方法控制滞后不确定系统具有简单、实用、鲁棒性强的特点．     

基于RTW ERT/VxWorks的实时仿真方法实现

介绍了一种基于RTW Embedded Coder和嵌入式操作系统VxWorks的实时仿真方法.在一些实时性要求较高的仿真系统中,怎样能够在不加大开发难度的情况下提高仿真的实时性是一个需要解决的问题.Matlab中的RTW是专门为实时仿真设计开发的.VxWorks是一个非常实时的嵌入式开发系统,利用代码生成工具将ERT嵌入式目标自动生成优化的嵌入式实时C代码,下载到VxWoks嵌入式实时操作系统下运行,主机运行Simulink模型,目标机运行实时代码,保证了实时性.同时提供了利用C-API接口实现在线调参的方法,与传统的基于Tornado实时目标和VxWorks的实时仿真方法相比,更加利于对模型参数进行访问.     

内存环技术在实时仿真测试中的应用研究

采用基于WINDOWS系统的内存缓冲环技术，结合多线程处理机制，将数据实时记录和非实时转存有效结合，在某仿真测试系统中实现了大容量仿真数据的实时存储。在大量节省内存资源的同时，优化了系统存取时间，有效保证了系统的实时性。