基于B/S模式的年度考核管理系统的设计与实现

本文阐述了新疆师范大学年度考核管理系统的功能、设计与实现。     

基于Pro/E 的机翼型风机叶片的建模及平面展开

基于先进的3D设计软件Pro/Engineer，模拟离心式风机叶片的成形理论及构形特点，将风机叶片的建模、运算、绘图、下料全部由计算机完成，直接输出精确的下料图纸，大大简化了设计过程，并且提高了设计精度。     

加强民间组织能力建设的有效途径

伴随着中国社会改革进程,民间组织发展迅速,并在经济建设和社会进步中发挥着越来越广泛的积极作用。但民间组织的整体素质和自律水平有待进一步提高,如何加强民间组织的能力建设,作者提出了中国民间组织能力建设的五方面的有效途径,供社会各界关心民间组织发展的人士共同探讨。     

B/S三层体系结构模式

随着WEB技术的迅速发展和应用,如何利用WEB技术,建立集主机-终端方式和C/S方式优点为一体的新的应用模式是计算模式研究的一个新课题.论及了Internet/Intranet环境下,B/S三层体系结构模式的构成、工作原理,从多方面对比分析了B/S与C/S模式的优劣,认为B/S模式是当今应用软件的首选体系结构.     

CsLiB6O10晶体光参量振荡器的线宽分析

采用355nm脉冲激光作为泵浦源,对影响CsLiB_6O_(10)晶体光参量振荡器的信号光线宽的各种物理机制进行了数值模拟计算和分析.结果表明,泵浦光的发散角和偏轴方向对信号光线宽的影响较大。     

并行口在EPP模式下的应用

给出了并行口的EPP协议，以及在EPP模式下进行数据采集、A／D转换与并行口扩充的实用实例。     

Application of Reaction-Bonded Silicon Carbide in Manufacturing of Spacecraft Combustion Chamber

Silicon carbide (SiC) ceramics is a good structural ceramics material, which have a lot of excellent properties such as superior high-temperature strength up to a temperature of 1 350 ℃, chemical stability, good resistance to thermal shock and high abrasion resistance. The silicon carbide ceramics material has so far been used widely for manufacturing various components such as heat exchangers, rolls, rockets combustion chamber. Sintering of ceramics structural parts have many technological method, the reac...     

溶胶凝胶法制备三维规则排列大孔TiO2材料

以聚苯乙烯微球 (LatexSphere)离心后形成的三维规则排列的胶晶 (colloidcrystal)作模板 ,用钛酸丁酯、水、乙醇等配制的溶胶填充微球之间的间隙 ,然后原位形成凝胶 ,最后通过焙烧除去微球得到三维规则排列大孔TiO2 材料 (3DOM)。溶胶的浓度一般控制在 0 5～ 1 0md/L之间。焙烧过程的升温速度应控制在 5℃ /min以下。得到的样品表面可观察到五颜六色的彩光。从SEM照片可观察到 ,球形孔大小均匀 ,排列整齐 ,孔壁填充完全。孔径在 5 30nm左右 ,孔的排列呈面心立方结构 ,孔与孔之间由小孔窗相互交连。XRD表明孔壁含有锐钛矿和金红石两种晶型 ,2种晶型质量分数大约各占 5 0 %。     

Accurate forecasting of the undecided population in a public opinion poll

The problem of pollsters is addressed which is to forecast accurately the final answers of the undecided respondents to the primary question in a public opinion poll. The task is viewed as a pattern‐recognition problem of correlating the answers of the respondents to the peripheral questions in the survey with their primary answers. The underlying pattern is determined with a supervised artificial neural network that is trained using the peripheral answers of the decided respondents whose primary answers are also known. With peripheral answers as inputs, the trained network outputs the most probable primary response of an undecided respondent. For a poll conducted to determine the approval rating of the (former) Philippine president, J. E. Estrada in December 1999 and March 2000, the trained network predicted with a 95% success rate the direct responses of a test population that consists of 24.57% of the decided population who were excluded in the network training set. For the undecided population (22.67% of December respondents; 23.67% of March respondents), the network predicted a final response distribution that is consistent with the approval/disapproval ratio of the decided population. Copyright © 2002 John Wiley & Sons, Ltd.