光学薄膜在现代汽车工业中的应用

本文论述应用光学薄膜技术对汽车窗口玻璃和塑料的若干性能进行改进的技术发展水平，这些性能包括塑料表面的硬化，红外区的反射，紫外区的吸收，偏振化作用，双折射，憎水性以及光学角度选择性等，评论等离子体处理和物理蒸汽淀积薄膜工艺近来应用的一些例子。对于物理蒸汽淀积薄膜所提供的异常功能连同实际使用中它们的耐久性作了特殊的强调。     

单涂层吸波材料的优化设计及偏差研究

本文通过对单涂层吸波材料内电磁波传输损耗机理的细致研究，提出了单涂层吸波材料优化设计的两项原则。结合具体实例详细说明这两项原则的具体应用，最后讨论涂层电磁参量在偏离匹配条件的情况下，对涂层吸波性能影响的具体结果分析。图３．表１，参３。     

我国跨国经营的发展构想

本文在系统阐述当代跨国经营战略调整与发展趋势的基础上，简要剖析了现阶段我国企业跨国经营的主要问题，重点探讨了我国跨国企业发展战略的基本构想。     

锁具装箱方案

讨论了锁具装箱问题，首先用穷举法统计符合要求的一批锁具的数量，然后根据奇数和偶数的转换关系，给出装箱的销售方案。应用本方法比较完满地解决了锁具装箱问题，而且经过简单改动，可以进行推广。     

A New Integrated Design Method Based on Fuzzy Matter-Element Optimization

This paper puts forward a new integrated design met ho d based on fuzzy matter-element optimization.On the based of analyzing the mod el of multi-objective fuzzy matter-element , the paper defines the m atter-element weightily and changes solving multi-objective fuzzy optimization into solving dependent function K(x) of the single-objective optimization according to the optimization criterion. The paper particularly describes the realization approach of GA process of multi -objective fuzzy matter-eleme...     

塑料光学元件的清洗、镀膜和胶合

各种塑料光学元件在光学系统中的应用越来越广泛。作为光学元件,必然涉及清洗、镀膜和胶合等工艺技术问题。本文就塑料光学元件的这三个技术作一介绍。     

高新技术开发区网络管理系统的设计

根据高新技术产业开发区的特点，提出了一系列有针对性的软、硬件设计。     

创造民族品牌加强产品竞争能力

阐述了民族品牌在市场竞争中所面临危急局面 ,提出了创造民族品牌、增强市场竞争能力的一系列措施 ,包括加强工业设计 ,创造品牌文化 ,提升品牌形象与市场地位等 .     

体验CI 实践CI 创造CI——CI教学在班级管理中的有益尝试

CI设计的最大特点就在于广泛的参与、实践和应用,对它的教学目的是让学生在全面深入理解设计理念的基础上开展设计实践活动.然而现实中的CI教学往往只偏重于一方面而忽略另一方面,本文就两者的有机结合作了一些尝试.     

Vehicle density and velocity estimation on highways for on-ramp metering control

A scheme for vehicle density and velocity estimation in a stretch of highway based on a modified cell transmission model [C. F. Daganzo, Transportation Research, Part B, 28B(4),269–287, 1994. Elsevier is presented. The scheme is intended for use with on-ramp metering control algorithms, providing local knowledge of densities and velocities that is helpful to improve on-ramp metering control performance. Estimation of density is obtained by nonlinear estimators, while velocity estimation is obtained by gradient algorithms. There is one density–velocity estimator for free traffic flow and other for congested traffic flow. Both estimator schemes work in parallel. The final estimation of density and velocity results from a convex combination of the predictions of the two estimators. This combination depends on occupancy or density measurements at the boundaries of the stretch and is produced by a fuzzy inference system. Stability and convergence of the density and velocity estimation scheme is proved by Lyapunov based techniques. Simulation results comparing measured and estimated traffic data are presented. They confirm good performance of the estimators. Research sponsored by grants UNAM PAPIIT IN110403 and CONACYT 47583.