Research on Combination Winding of Revolving Bodies

A methematical model based upon the theory of differential geometry isestablished for the combination winding of revolving bodies and programs are developedfor the filament winding operations as well.Trial winding on a filament winding machineproved this model is right and useful.     

涤纶织物舒适性的真丝化处理

本文阐述了用丙烯酰胺和丝肽的混合溶液对涤纶织物进行舒适性整理的方法，并分析了整理方式和条件对处理效果的影响。     

Elemental composition analysis of superconducting Hg_(0.67)Pb_(0.34)Ba_2Ca_2Cu_3O_(8+δ)

The analysis of superconducting sample by using a sputtered neutral particle mass spectrometer demonstrates that Ca and Ba elements are oxidative, Cu is non-oxidative, Hg is mainly in metallic form near the surface and becomes oxidative far from the surface, and Pb is concentrated on the surface. The analysis also reveals that the highly concentrative hydrocarbon and water impurities are mixed into the sample during the preparation and conservation.     

Optical dual self functions

A recipe to construct the exact dual self-Fourier-Fresnel-transform functions is shown, where the Dirac comb function and transformable even periodic function are used. The mathematical proof and examples are given Then this kind of self-transform function is extended to the feasible optical dual self-transform functions.     

城市粪便清运处理系统的数量特征和预测

根据建设部《城市建设统计年报》（１９７９～１９９４）、抽样调查以及有关文献，通过数据处理、相关回归分析、方差分析和直观图表，研究了我国粪便清运量和机械化清运率、粪便处理设施和能力等的时间变化与其它因素的相关性，并对城市粪便处理系统的发展作了预测．     

合理开发可再生资源的Leslie模型

首先把〔１〕提出的Ｌｅｓｌｉｅ模型推广到对可再生资源进行捕获的情形，并得到类似结果。利用所建模型成功地解决了ＣＭＣＭ９６Ａ题中的问题１。     

CAPP专家系统的知识获取及表达形式

从ＣＡＤ／ＣＡＭ集成系统的角度出发，结合专家系统的基本原理，介绍了建立ＣＡＰＰ专家系统过程 知识的获取方法及其表达形式，实践证明，本文所采取的知识获取方法及其表达形式是切实有效的。     

ATM网上的LAN仍真

对作为计算机网络未来发展方向的ATM网如何仿真以太网和令牌环方案作了详细的描述。此方案的优势在于它允许现有的LAN应用在不作任何修改的情况下，便可在ATM网上运行。     

神经网络在注塑制品材料选择中的应用

该文分析了注塑成型制品的功能要求与树脂材料性质之间的作用关系，采用模糊手段表示了对材料的选定度，提出了一种基于神经网络的注塑制品的材料选择方法。     

Polarization Phase-Based Method For Material Classification In Computer Vision

A robust and accurate polarization phase-based technique for material classification is presented. The novelty of this technique is three-fold in (i) its theoretical development, (ii) application, and, (iii) experimental implementation. The concept of phase of polarization of a light wave is introduced to computer vision for discrimination between materials according to their intrinsic electrical conductivity, such as distinguishing conducting metals, and poorly conducting dielectrics. Previous work has used intensity, color and polarization component ratios. This new method is based on the physical principle that metals retard orthogonal components of light upon reflection while dielectrics do not. This method has significant complementary advantages with respect to existing techniques, is computationally efficient, and can be easily implemented with existing imaging technology. Experiments for real circuit board inspection, nonconductive and conductive glass, and, outdoor object recognition have been performed to demonstrate its accuracy and potential capabilities.