粘合衬对服装舒适性影响的研究

探讨了粘合衬与粘合工艺对服装透气性、透湿性及透水性影响的规律。得出服装的舒适性虽由面料决定,但辅料(粘合衬)的影响也不可忽视。粘合衬的涂胶种类,粘合衬本身的透气性与透湿性,以及非织造粘合衬底布的单位重量,机织粘合衬底布的覆盖系数等,均对服装舒适性有影响,从而为衬料的选择,以及粘合工艺参数的设定,提供了依据。     

水蒸汽在调湿剂中有效扩散系数的测定

采用“单粒柱”新技术，测定了水蒸汽在粒状调湿剂中的有效扩散系数。以不同粒度、不同种类载气、不同吹扫气速进行测定，结果一致。表明：水蒸汽在粒状调湿剂中的扩散为粒子内扩散控制。以本法测定和对比了不同调湿剂中水蒸汽的有效扩散系数。     

Diracδ函数的微观分析及其应用

本文以非标准分析为工具,研究了核子上的积分与求导,并从实例出发,引出了Heaviside函数,又论证了Heaviside函数的导数就是Diracδ函数;从而给出了Diracδ函数一个精确的表示方法。之后又进一步研究了它的性质及应用。     

高频等离子体化学气相淀积法制备TiO2超细粒子

利用ＴｉＣｌ４＋Ｏ２体系，在高频等离子体化学气相淀积反应器中合成了纯度高、粒度细的ＴｉＯ２粒子。考察了工艺条件对ＴｉＯ２粒子物性的影响；探讨了ＴｉＯ２粒子晶型控制的方法，金红石型质量分数可通过工艺条件控制；探讨了ＴｉＯ２粒子晶型控制的方法。金红石型质量分数可通过工艺条件控制，减少ＴｉＯ２单体浓度可提高金红石型质量分数；也可通过在原料ＴｉＣｌ４中添加ＡｌＣｌ３等晶型转化剂，使可转化为单一金红石型Ｔｉ     

A High Speed Detection Scheme for Point Targets in a Multitarget Environment

The purpose of this paper is to develop a high speed detection scheme for moving and / or stationary point targets in a multitarget environment as registered in an IR image sequence. An iterative approximate 3-D line searching algorithm based upon the geometric representation of lines (for non-maneuvering targets in space) in a 3-D space is derived. The convergency of the algorithm is proved. An analysis is performed of the theoretical detection performance of the algorithm. The statistical experiment results show high effectiveness and computational efficiency of the algorithm in the case of low SNR. The idea may be employed to satisfy the real-time processing requirement of an IR system.     

STABILITY CRITERIA FOR A CLASS OF UNCERTAINSYSTEMS WITH TIME—DELAY

Some stability criteria are obtained for a class of uncertain systems with time-delay usingLyapunov functional and analytic techniques. It is easy to check the criteria by making use of theboundedness of the uncertainties.     

矿物质粉体对砂浆及混凝土Cl-渗透性的影响

研究了不同水胶比、不同矿物质粉体掺量的砂浆和混凝土，经标准养护至56天、90天时的导电量。在相同水胶比和相同矿物质粉体掺量下，混凝土的导电量远低于砂浆的导电量。含矿物质粉体的砂浆及混凝土的导电量均低于基准砂浆及混凝土的导电量。导电量随水胶比的降低而降低，也随龄期的增长而降低。     

两个组合恒等式的概率证明

给出了两个组合恒等式的概率证明，扩展了已知的结果。     

含有纯滞后对象的控制方法

评述纯滞后对象控制的两种典型方法─—大林算法和纯滞后补偿法的原理、优缺点、设计要求及存在问题，并讨论了两者的联系。     

Radar Imaging Based on Iterative Algorithms

It has long been realized that the problem of radar imaging is a special case of image reconstruction in which the data are incomplete and noisy. In other fields, iterative reconstruction algorithms have been used successfully to improve the image quality. This paper studies the application of iterative algorithms in radar imaging. A discrete model is first derived, and the iterative algorithms are then adapted to radar imaging. Although such algorithms are usually time consuming, this paper shows that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.