受控离散事件过程（CDEP）的一种代数分析方法

本文在文［１～３］的基础上，提出了受控离散事件过程（ＣＤＥＰ）的一种代数分析方法，弥补了Ｒａｍａｄｇｅ和Ｗｏｎｈａｍ［１～３］的理论对具体系统的应用缺乏可操作性的缺陷，使得对ＣＤＥＰ动态过程的分析变得更为直观，同时也使控制器的设计过程更具可操作性．     

盘锦地区电力负荷的季节性分析

本文从盘锦地区１９８７－１９９３年电力负荷的原始资料入手，运用移动平均并加以改良的方法，从具有季节性变化的电力负荷系列中，分离出季节性分量，提示了电力负荷发展变化的规律。文中分析了盘锦地区七年间电力负荷发展的自身特点，指出其循环变化的转折点，给出了未来近期负荷变化的趋势，为电力行业制定规划和组织生产提供了依据，对供电企业合理安排生产计划、适应市场经济带来启示。     

微波单片集成电路的成品率优化

采用建立管芯等效电路模型、灵敏度分析以及统计勘探法对微波单片集成电路进行成品率优化，并编制了软件，加入到ＧａＡｓＩＣＣＡＤ系统中。应用该软件对Ｘ波段低噪声ＭＭＩＣ、超宽带ＭＭＩＣ放大器进行了设计，成品率有较大的提高，电路性能有所改善。     

激光热源形成过程的定量描述

研究了热传导方程的通解，进而提出激光热源形成的微观机理和热源形成过程的三个理论计算式。对激光热效应的应用具有指导意义。     

Preparation of polyimide-epoxy composites

The formation of a three dimensional network of crosslinked epoxy leads all unmodified epoxies to have inherent brittleness and relatively low degradation temperatures. Polyimides, on the other hand, are widely used for applications that require high degrees of flexibility and thermal resistance. Here, we have focused on the preparation of epoxy systems cured with polyamic acids instead of traditional amino-group-containing hardening agents. The cure behavior and potential reaction mechanisms of EPON 828 resin and polyamic acid mixtures were evaluated by DSC and TGA. Thermal analysis showed a complex reaction sequence taking place in the mixture and also determined the extent of reaction of the polyamic acid with itself and the competitive reaction of the polyamic acid with the epoxy. The compositions of the mixtures were varied to see the dependence of the cure behavior on component concentrations. Solutions of the two components did not phase separate and also phase separation was not apparent either optically or microscopically in the cured samples. This phase behavior was attributed to a unique in situ reaction. A novel solvent system for the polyamic acid precursor was also used.     

Synthesis and characterization of poly(ethylene aspartate)-metal complexes

Poly(ethylene aspartate) [PEA] was synthesized by the melt condensation of D,L-aspartic acid and ethylene glycol. PEA containing pendent amino and carbonyl groups in its repeating chain was used as the polymeric ligand for complexation with transition metal ions, viz. Co(II), Ni(II), Cu(II), Mn(II), Zn(II), Cd(II), Ca(II), Mg(II), Pb(II) and Hg(II). Complexation was found to be most effective in DMSO. The resulting polyester-metal complexes were solid coloured materials which have been characterized by IR spectroscopy, elemental analysis and magnetic susceptibility measurements. The thermal stability of the polyester-metal complexes was investigated by thermogravimetric analysis (TGA). On the basis of the physico-chemical studies, an oxygen and nitrogen coordinated structure for the polyester-metal complexes is proposed.     

Makespan estimation and order acceptance in batch process industries when processing times are uncertain

Batch process industries are characterized by complex precedence relationships between operations, which renders the estimation of an acceptable workload very difficult. A detailed schedule based model can be used for this purpose, but for large problems this may require a prohibitive large amount of computation time. We propose a regression based model to estimate the makespan of a set of jobs. We extend earlier work based on deterministic processing times by considering Erlang-distributed processing times in our model. This regression-based model is used to support customer order acceptance. Three order acceptance policies are compared by means of simulation experiments: a scheduling policy, a workload policy and a regression policy. The results indicate that the performance of the regression policy can compete with the performance of the scheduling policy in situations with high variety in the job mix and high uncertainty in the processing times. Correspondence to: C.V. Ivanescu     

柴油机低频排气噪声规律分析

针对柴油机（4－85）低频排气噪声，对其产生机理、规律及其影响因素等作了理论计算、分析及实验。对低频排气噪声信号进行频域分析后可知，其主要由一系列离散的谐波组成，是以柴油机点火频率为基频的一种类周期性噪声，有可能应用有源噪声控制技术。     

绿色包装材料——生物降解塑料

对绿色包装材料-生物降解塑料的降解机理、特点，国内外研究现状和进展及存在的问题和发展前景进行了介绍。     

Cluster analysis in industrial market segmentation through artificial neural network

Market segmentation has commonly applied cluster analysis. This study intends to make the comparison of conventional two-stage method with proposed two-stage method through the simulated data. The proposed two-stage method is the combination of self-organizing feature maps and K-means method. The simulation results show that the proposed scheme is better than the conventional two-stage method based on the rate of misclassification.