新型NTC热敏电阻材料—含铜Mn系铁氧体的研究

研究了含铜Mn系铁氧体的阻温特性,目的是用廉价的铁氧体取代价格昂贵的、传统的Mn Ni Co氧化物、负温度系数热敏电阻。通过Cu~(2+)离子取代Fe~(2+)离子或Mn~(2+)离子,及改变淬火工艺,可以改变Mn系铁氧体整体电阻率ρ和材料参数B,得到可与传统氧化物器件相比拟的性能。     

Test Case Generation as an AI Planning Problem

While Artificial Intelligence techniques have been applied to a variety of software engineering applications, the area of automated software testing remains largely unexplored. Yet, test cases for certain types of systems (e.g., those with command language interfaces and transaction based systems) are similar to plans. We have exploited this similarity by constructing an automated test case generator with an AI planning system at its core. We compared the functionality and output of two systems, one based on Software Engineering techniques and the other on planning, for a real application: the StorageTek robot tape library command language. From this, we showed that AI planning is a viable technique for test case generation and that the two approaches are complementary in their capabilities.     

烧结工艺对液相合成（SrPb）TiO3基陶瓷热敏特性影响的研究

本文在液相合成（ＳｒＰｂ）ＴｉＯ３粉的基础上，研究了升温速率、保温时间、烧结温度及降温方式对（ＳｒＰｂ）ＴｉＯ３基陶瓷的Ｖ型ＰＴＣ热敏特性的影响。实验表明：升温速率对其热敏特性影响不大，保温时间和烧结温度的作用是一致的，具有一最佳范围。而降浊方式对材料的热敏特性影响较大。综合各因素的影响，本配方中，样品的烧结制度定为：以２００℃／ｈ的速率升温，在１２５０℃保温１ｈ，炉冷至９５０℃，保温０．５ｈ，再     

地下通风系统管理的新技术——系统特征图

本文介绍系统特征图的原理与方法 ,及其推广应用的前景     

单片机仿真系统

本文讨论单片机离线仿真系统的设计方法，其关键技术是：单片机硬件系统（ＲＡＭＲＥＧＩＳＴＥＲＳ）仿真，指令系统仿真，中断系统仿真，应用系统硬件仿真。     

I／A智能自动化系统总体构想

I/A DCS智能自动化系统是Foxboro公司80年代后期推出的DCS新产品。本文介绍了其体系结构、主要技术指标、硬件系统设计、软件系统设计、通信网络、集成控制概念及系统开放思想。从而,为建立我国自己的DCS产品提供参考。     

小型工业炉窑燃烧过程的智能控制

本文论述了对小型工业炉窑燃烧过程进行智能控制的一种设计思想。该控制器用智能PID调节器控制炉温作为主控回路,用自寻最优控制空燃比作为副控回路。是一种既满足燃烧过程多目标要求,又造价低廉的智能控制器。     

EISA系统总经与VESA局部总线

本文主要介绍ＥＩＳＡ系统总线与ＶＥＳＡ局部总线的特点与区别．     

PS,LS和煤油体系的界面张力

本文以石油磺酸盐(PS)、木质素磺酸盐(LS)和煤油体系为对象,研究了PS/LS比、盐度、醇、Na_2SiO_3及聚合物对体系界面张力(IFT)的影响,探讨了PS与各组分间的相互作用,结果发现,在一定盐度和混合醇(正丁醇+异丙醇)浓度下,PS/LS>0.3/0.7时,体系可形成中相微乳液,IFT值达1×10~(-3)mN/m左右;LS和聚合物的存在使IFT升高;在表面活性剂驱油体系中,可用廉价的LS部分代替PS。     

A method of identifying latent human errors in work systems

Work system improvements are implemented in various manufacturing processes to prevent problems caused by human errors. However, they are almost always applied to problems which have already occurred. This paper examines a method of identifying latent human errors existing within the work systems beforehand. A procedure for applying failure mode and effect analysis to this identification problem was defined based on over 1000 empirical errors: a work system decomposition criterion and fundamental error modes for listing latent human errors, and then applied to three practical manufacturing processes in order to evaluate its effectiveness.