Java语言及其虚拟机技术探讨

随着Internet的迅猛发展，Internet编程语言Java愈来愈成为计算机行业的焦点。本文在简述了Java的主要特点后，重点对Java最关键的技术──虚拟机进行了深入的探讨。     

龙潭拱坝砼上坝运输方案选择

龙潭拱坝坝高９０ｍ，砼上坝运输是砼施工过程中的中间环节，控制进度的关键，必须因时因地制宜地选择适当的运输机械和运输方案，使砼运输能做到保质、保量、及时和经济，通过论证比较，结合本工程现实情况，砼上坝运输不采用缆机而采用门机方案．     

手写体汉字识别问题综论

本文在讨论了人对汉字的认知心理试验研究结果之后,认为人类的汉字识别是经由整字属性及分层结构的多种途径复合而成的。这些途径中的大多数都可以在手写体汉字的机器识别中模仿运用。由此可把汉字的机器识别方法归纳为整模式法和子模式法两个大类,对它们的有利方面和困难方面进行了讨论;对影响其性能的因素进行了分析;对识别率以及它与识别字集大小和后处理等的关系提出了评估的问题。     

Robotics in the factory of the future: AI in manufacturing: The NBS AMRF as an intelligent machine

Within its Automated Manufacturing Research Facility (AMRF), the U.S. National Bureau of Standards (NBS) is addressing research issues in interface standards for the fully automated factory of the future for the production of small batches of discrete parts. Consisting of robots, machine tools and computers, the AMRF is being integrated using a real-time, sensory-feedback, data-driven hierarchical control architecture. As such, the AMRF is a research tool for investigating the manufacturing enterprise as a system of intelligent machines. This paper: (1) describes the AMRF in terms of its real-time control system architecture; (2) notes the role of symbolic languages, knowledge-representation, sensory-processing and other aspects of artificial intelligence in its development; and (3) speculates on further application of AI in future intelligent manufacturing systems similar in form to the AMRF.     

葛洲坝电站2号水轮机转轮室中环修复

针对葛洲坝电站2号机组运行中出现转轮室中环损坏的现象,设计制造出转轮室现场机加工的大型专用机床,在修复改造过程中,解决了一系列技术难题,改造后技术指标均达到理想水平,为电站机组现场修复技术积累了宝贵经验.     

微光机电系统的微绞链研制

本文讨论了非硅微机械工艺和微绞链的研制工艺。我们研制的非硅表面微机械工艺采用两次或三次掩模电镀层，聚酰亚胺和光刻胶分别作为底层和第二、第三层的牺牲层。用这套工艺，研制成功了三种不同种类的微绞链。微绞链能在基片表面作０—１８０度自由转动。     

大型吹塑机制造技术探讨

本文系统介绍了采用德国巴登菲尔德·菲歇尔公司许可证技术转让方式生产的ＳＣＪ系列大型吹塑机的最新技术特点。     

依缓冲库调速CIMS可靠性分析的位相结构方法

本文提出了依缓冲库调速ＣＩＭＳ可靠性分析的位相结构方法，从闭环排队网络出发，利用准生灭过程理论，给出了系统的各种可靠性指标和生产指标，讨论了系统局部运行期的们相特征，最后给出了两个数据算例。     

Does positive affect influence the effective usage of a Decision Support System?

This study examines the impact of positive mood on the effective usage of a Decision Support System (DSS). Using current cognitive theories, a theoretical argument about DSS usage is developed. This argument is then investigated via a lab experiment. The results of the lab experiment show that decision makers in positive mood used a greater number of informational cues provided by the DSS and made more accurate judgments.