The TDCPR Management Mode of Engineering Equipment

The Three Gorges Project is a very large project,and its structure is very complex.Interna-tional advanced engineering equipment is broadly used.The state of equipment running directly influ-ences project building qualities and limited time.According to the factud conditions of the Three Gor-ges Project,the characteristics of engineering equipment are analyzed.At the same time ,some theories about equipment management are induced ,and the TDCPR management mode of engineering equip-ment of the Three Gorges Project is put forwared in order to gain the aim of managing and using equip-ment well and speeding up the project construction.     

抗氧剂于有机PTC热敏导电材料性能的稳定作用研究

探讨了抗氧剂在聚乙烯 乙烯 醋酸乙烯酯共聚物 炭黑 (PE EVA CB)体系中的作用。结果表明 ,在体系中加入抗氧剂可以提高材料体系的结构稳定性 ,从而可以在一定程度上改善材料的热电稳定性。当在体系中加入 2 .0 %(w)的抗氧剂时可收到良好效果。     

On Deciding Readiness and Failure Equivalences for Processes

In this paper, we study the complexity of deciding readiness and failure equivalences for finite state processes and recursively defined processes specified by normed context-free grammars (CFGs) in Greibach normal form (GNF). The results are as follows: (1) Readiness and failure equivalences for processes specified by normed GNF CFGs are both undecidable. For this class of processes, the regularity problem with respect to failure or readiness equivalence is also undecidable. Moreover, all these undecidability results hold even for locally unary processes. In the unary case, these problems become decidable. In fact, they are Π^p₂-complete, We also show that with respect to bisimulation equivalence, the regularity for processes specified by normed GNF CFGs is NL-complete. (2) Readiness and failure equivalences for finite state processes are PSPACE-complete. This holds even for locally unary finite state processes. These two equivalences are co-NP-complete for unary finite state processes. Further, for acyclic finite state processes, readiness and failure equivalences are co-NP-complete and they are NL-complete in the unary case. (3) For finite tree processes, we show that finite trace, readiness, and failure equivalences are all L-complete. Further, the results remain true for the unary case. Our results provide a complete characterization of the computational complexity of deciding readiness and failure equivalences for several important classes of processes.     

令牌多环网性能—可靠性综合评价

网络的性能与可靠性已分别得到广泛的研究,然而,怎样分析具有容错机制的环网的性能仍属有待开拓的研究领域,本文提出了一种分析具有自修复机制的多环网络系统的方法,并给出了报文传输时间分布的拉氏变换式,平均等待时间及平均队列长度公式,分析结果可用于评估故障与修复过程对实时令牌环网的实时响应特性的影响,对基于LAN的分布式实时系统设计具有指导意义。     

国外离子束系统（IBS）发展概况

综述了国外离子束刻蚀和沉积系统的研究进展，指出了离子束系统在半导体技术研究，开发和生产中的重要性。     

连铸铝镇静钢的钢水准备

在连铸生产铝镇静钢时,水口絮流一直是困扰工程技术人员的一个难题.从絮流的原因入手,分析了Al2O3生成的控制.并介绍了几种钢水钙化的方法,从中比较出用复合造渣材料来解决浇铸铝镇静钢的优点.     

Application of the recurrent multilayer perceptron in modelingcomplex process dynamics

A nonlinear dynamic model is developed for a process system, namely a heat exchanger, using the recurrent multilayer perceptron network as the underlying model structure. The perceptron is a dynamic neural network, which appears effective in the input-output modeling of complex process systems. Dynamic gradient descent learning is used to train the recurrent multilayer perceptron, resulting in an order of magnitude improvement in convergence speed over a static learning algorithm used to train the same network. In developing the empirical process model the effects of actuator, process, and sensor noise on the training and testing sets are investigated. Learning and prediction both appear very effective, despite the presence of training and testing set noise, respectively. The recurrent multilayer perceptron appears to learn the deterministic part of a stochastic training set, and it predicts approximately a moving average response of various testing sets. Extensive model validation studies with signals that are encountered in the operation of the process system modeled, that is steps and ramps, indicate that the empirical model can substantially generalize operational transients, including accurate prediction of instabilities not in the training set. However, the accuracy of the model beyond these operational transients has not been investigated. Furthermore, online learning is necessary during some transients and for tracking slowly varying process dynamics. Neural networks based empirical models in some cases appear to provide a serious alternative to first principles models.     

The feature-based posterior crown design in a dental CAD/CAM system

This paper presents a newly developed CAD approach for a quick and accurate design of a dental posterior prosthesis. The approach arises from the basic idea that every human tooth has its own specific features. Based upon the features of the standard posterior tooth, the initial data containing the defined feature points are firstly acquired from the scanned points of the standard tooth. The standard prosthetic profile is thereby formulated using the bicubic Nurbs surface fitting technique. This profile has the two functions of possessing the same features with the patient’s missing posterior tooth, and the adjustability with the feature points and the defined B-spline profile feature curves. For the purpose of the adjustment of the established model, the global and occlusal feature curves are proposed considering the individual patient’s original information. According to these curves, the corresponding standard prosthetic profile is locally adjusted to meet the fit of the global size and occlusal surface. Finally, a close and continuous profile of a posterior crown is generated. Using this design, a posterior prosthesis is successfully manufactured in the computer-aided machining process.     

欧盟邻苯二甲酸盐新规明年实施

欧盟最新颁布的关于邻苯二甲酸盐的新指导标准（第2005／84／EC），将于2007年1月16日起开始执行。