基于微机的PUMA262机器人的离线编程系统

本文论述了一个离线编程系统开发的全过程，包括系统的设计和该软件的核心技术，ＰＵＭＡ机器人的运动学动力分析与仿真，机器人与微机的接口技术及ＮＵＲＢＳ高级曲线的路径规划方法等。     

Error in the UNITY substitution rule for subscripted operators

UNITY, introduced by Chandy and Misra [ChM88], is a programming logic intended to reason about temporal properties of distributed programs. Despite the fact that UNITY does not have the full power of, for example, linear temporal logic, it enjoys popularity due to its simplicity.There was however a serious problem with the Substitution Rule. The logic is incomplete without the rule, and with the rule it is inconsistent.     

乙二胺在沸石分子筛上的TPD研究

以程序升温脱附(TPD)为主要试验手段,对乙二胺在5种不同沸石分子筛上的吸附、脱附行为进行了研究。结果表明,沸石分子筛对乙二胺有着较强的吸附作用,但不同的沸石分子筛对乙二胺的吸附能力受其结构和表面酸性特征的影响而有所不同;适用于交联条件的有效吸附部位为一与沸石分子筛表面酸性有关的弱化学吸附位;乙二胺从不同沸石分子筛表面脱附的动力学与晶内扩散有关,其表观脱附活化能分别为:69.9kJ/mol(5A)、78.3kJ/mol(13X)、22.4kJ/mol(菱沸石)、37.5kJ/m0l(NaY)、44.7kJ/mol(ZSM-5)。     

空间机器人遥控、自主与协同操作的软件基础

空间机器人控制语言是实现空间机器人三种控制方式:遥控操作,自主操作和协同操作的软件基础,本文描述了该语言的基本结构,对于自主方式,给出了编程示例;对于遥控方式,运用程序辅助的方法,解决了操作员单独进行主/从操作时难以解决的问题.     

基于图像的计算机辅助数控编程软件研究

研究了基于图像的数控自动编程方法，包括影响自动编程、图像骨架自动编程和轮廓自动编程方法，并实现了使用该方法的计算机辅助数控编程软件。     

PIMS在企业生产经营中的应用

介绍PIMS在企业生产经营中的应用 ,运用PIMS可对炼油化工企业进行原油采购决策、加工保本点预算、效益预测、物流分配、整体流程优化、投资分析、瓶颈制约因素探讨、原料和产品库存管理、经济活动分析等 ,并结合生产装置特点和市场环境影响因素 ,获取最大生产经营效益。根据影子价格 ,找出提高效益的潜力 ,确定产品、中间产品或半成品合理价格 ,规范关联交易 ,增强企业市场应变能力 ,提高经济效益与管理水平。     

数据采集与监控软件Genie

Genie是具有国际先进水平的数据采集与监控软件，它提供了一个面向对象的图形化用户界面，因此简化了数据采集过程、控制应用程序开发和操作员界面。本文介绍了Genie的特点、功能、基本用途以及VISUALBA－SIC在设计这类监控软件中的作用。     

有机极化聚合物材料及电光调制器件

有机极化聚合物材料是一类新型的功能高分子材料，在光电子及集成光学方面具有诱人的应用前景，其电光调制器件已接近实用化，本文综述了有机极化聚合物材料，极化聚合物体系及电光调制器件的研究进展，并指出它们存在的问题和发展方向。     

Constant thrust programming for a multistage rocket flown in vacuum with a given initial/final thrust-to-weight ratio in an arbitrary stage

The burn time and burnout velocity of a multistage rocket flown vertically in vacuum with constant thrust tangential to the flight path and a prescribed initial/final thrust-to-weight ratio in an arbitrary stage have been determined. The present paper also deals with optimal staging under given conditions of flight.     

Image processing using cellular neural networks based on multi-valued and universal binary neurons

Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an arbitrary mapping described by partially defined multiple-valued function on the single MVN. An arbitrary mapping described by partially defined or fully defined Boolean function, which can be non-threshold, may be implemented on the single UBN. The quickly converging learning algorithms exist for both types of neurons. Such features of the MVN and UBN may be used for solving the different problems. One of the most successful applications of the MVN and UBN is their usage as basic neurons in the Cellular Neural Networks (CNN). It opens the new effective opportunities in nonlinear image filtering and its applications to noise reduction, edge detection and solving of the super resolution problem. A number of experimental results are presented to illustrate the performance of the proposed algorithms.An erratum to this article can be found at