试析辽宁建筑设计中的几个问题

针对当前辽宁建筑设计中存在的问题，提出应注意“提高环境意识，注意整体关系；提高精品意识，注意自身素养，提高创造意识，注重具体条件”的思想，从理论上分析实际工程设计中的一些模糊认识，并阐明有利于提高设计质量的具体建议。     

汉字识别的方法及Rosen细化算法的改进

介绍了汉字识别方法，改进了Ｒｏｓｅｎ细化算法，消除了该算法中的笔道丢失与断开     

再沸吸收脱乙烷塔的计算机模拟与优化

应用工程化学模拟软件ＥＣＳＳ对再沸吸收脱乙烷塔进行了全面的模拟分析，在此基础上，将正交设计的方法引入到化工过程的参数优化之中。通过对几个主要影响因素进行了综合分析与优化，提出了一组最佳组合的操作参数。本研究对现有装置的改造和新装置的设计开发具有一定的指导意义。     

彩色平板玻璃的色度计算

通过数值分析，运用解析几何原理推导出计算彩色玻璃三个参数（主波长、纯度和亮度）的数学模型，编制出计算程序。利用彩色玻璃的单色光透过率，通过该程序可以快速、准确地计算该玻璃的色度值，鉴定该颜色的质量。     

一种阵列信号超分辨率快速算法

提出了一种阵列信号超分辨率快速算法，并分析了它的收敛速度。这种算法基于协方差矩阵的特征值平移和矩阵的幂迭代，而不需要矩阵求逆。它的收敛速度快，一般只需几次迭代就能收敛，且算法结构简单，易于实现。     

梁大挠度强迫振动响应的灵敏度分析的新方法

给出了梁大挠度强迫振动响应灵敏度分析的新方法，讨论了灵敏度分析方程中的长期项处理方法，使响应灵敏度得到一个合理的结果。     

单片机与专用芯片结合的PWM变频调速系统

通过对所设计的ＭＣ６８０５Ｕ２单片机与ＳＬＥ４５２０ＰＷＭ专用芯片结合的变频调速系统的分析，说明该系统具有电路简单、节能、精度高、使用灵活、安全可靠性好等优点，适用于中小功率电动机拖动的变频调速电源。     

催化裂化装置反应再生工段动态仿真培训系统

以安庆石化总厂炼油厂催化装置反应再生过程为具体对象 ,根据反应机理和现场操作数据 ,建立了系统的动态数学模型 ,开发了仿真培训系统并成功地应用于操作工人的培训。同时 ,介绍了系统的功能、仿真数学模型及应用效果     

Knowledge-based system for railway scheduling

In this paper, we describe a Knowledge-Based railway scheduling system (called RSS) for Taiwan Railway Administration's (TRA) railway scheduling operations. In our approach, the scheduling process is divided into two levels: global scheduling and local scheduling. In global scheduling, an initial train diagram is established by the Global Scheduler according to the master scheduling plan without considering conflicts. In local scheduling, scheduling conflicts are repaired by Local Scheduler. An embedded knowledge base provides advice for conflict resolution. Since cycles may exist among a sequence of repairs during the repair process, we also propose a cycle detection and resolution scheme in this paper. Through a graphic user interface, the user can interact with the Automatic Scheduler to solve the large-scale complex train scheduling problem in a cooperative and flexible fashion.     

Robust Estimation of Rotation Angles from Image Sequences Using the Annealing M-Estimator

A robust method is presented for computing rotation angles of image sequences from a set of corresponding points containing outliers. Assuming known rotation axis, a least-squares (LS) solution are derived to compute the rotation angle from a clean data set of point correspondences. Since clean data is not guaranteed, we introduce a robust solution, based on the M-estimator, to deal with outliers. Then we present an enhanced robust algorithm, called the annealing M-estimator (AM-estimator), for reliable robust estimation. The AM-estimator has several attractive advantages over the traditional M-estimator: By definition, the AM-estimator involves neither scale estimator nor free parameters and hence avoids instabilities therein. Algorithmically, it uses a deterministic annealing technique to approximate the global solution regardless of the initialization. Experimental results are presented to compare the performance of the LS, M- and AM-estimators for the angle estimation. Experiments show that in the presence of outliers, the M-estimator outperforms the LS estimator and the AM-estimator outperforms the M-estimator.