吸湿凉爽机织物的结构设计与性能

为研究织物组织结构与复合纱线线密度对织物凉爽性能的影响,将线密度为7.4和9.8 tex涤纶分别与线密度为7.8 tex锦纶反向加捻、并线后作为纬纱,以8.3 tex涤纶/竹浆纤维50/50混纺纱作经纱,设计平纹、二上一下斜纹和透孔组织织物.测试织物的瞬间接触凉感、热湿舒适性能及织物干、湿态升温曲线,并采用凉爽温度指数对织物的综合凉爽性能进行评价.研究结果表明:6种设计织物的瞬间接触凉感均高于标准,且平纹织物最好,纬纱粗细对瞬间接触凉感影响不显著;透孔织物透气性最好,且在人体出汗的状态下具有较好的导湿散热性能.平纹织物凉爽温度指数最高,最大凉爽温度为2.8℃,综合凉爽性能最好.     

构皮滩水电站泄洪洞优化设计

构皮滩水电站为满足2008年12月工程提前发电的需要,结合现有泄洪洞地质情况和施工情况对泄洪洞布置进行了专题研究,结果表明利用降低进口高程为550 m的泄洪洞和坝身放空底孔联合参与后期导流,可缓解2007年导流隧洞下闸封堵后大坝在2008年汛期施工的压力,为大坝施工增加了2个月左右的工期。     

头盔显示器的关键技术及有关设计问题综述

头盔显示器可以提高驾驶员的态势感知能力，红外传感器提供的信息，使驾驶员的态势感知能力大大加强，头盔显示器提供的红外图像，使恶劣的天气和黑夜不再成为驾驶员作战的障碍，概述了头盔显示器的发展过程和关键技术，介绍了当前空军用头盔显示器的技术问题，解决方法，设计示例。     

建筑墙体表面传热系数辨识研究

对实验房间南向墙体内表面中心区域的换热过程进行实验，发现当风速在0－5．5m/s之间时，表面传热系数在8－18W（m^2.K）之间波动，而风向对墙体表面传热系数影响不大；用辅助变量法分析墙体表面传热过程，并结合实验推导出墙体表面传热系数。模型的预测结果与实测结果吻合良好。     

装备知识管理效用及实施策略分析

知识军事时代，知识逐渐成为战斗力提升的核心要素。武器装备的知识化管理，即装备知识管理，作为一种新的管理理念逐渐引起人们的重视，并将成为武器装备管理发展的新趋势。从探讨装备领域实施知识管理（knowledge management，KM）的重要性及目前装备工作中存在的现实问题出发，从提高装备决策质量、提升装备人才工作能力、防止装备知识流失、促进装备知识传递等方面分析了实施装备知识管理可能产生的效用。同时，还分析了装备知识管理实施的基本策略，以此为基础概括出了装备知识管理具有操作意义的实施步骤。     

校园文化与大学发展

校园文化看不见、摸不着，却支撑着大学的脊梁，它潜移默化影响和造就一所大学的文化品格。它不仅对大学发展起着重要作用，也是大学发展的重要内容，是大学建设的题中应有之义。为此，需要建设民主和谐，具有学术自由、人文精神和创新精神的校园文化，并将它提高到学校战略发展的高度来看，以校园文化整合学校发展战略。     

Synthesis of Mg-α-sialon from the mixture of silicon, aluminum and magnesia powders in a flowing nitrogen atmosphere

Synthesis of Mg-α-Sialon has been investigated by the mixture of silicon, aluminum and magnesia powders in a flowing nitrogen atmosphere in the range of 1300–1600 °C, when Mg-α-Sialon is designed with a chemical formulation of Mg _x Si_12−3x Al_3x O _x N_16−x in present work. The results showed that Mg-α-sialon initially occurred at 1400 °C and basically increased with elevated temperatures. For the samples of x = 0.6, 0.8 and 1.0 the products mainly consisted of Mg-α-Sialon with small amounts of Si, AlN and 21R AlN-polytypoid phases at 1600° C. However, in final products of x = 1.2, 1.4 and 1.6 only a little of Mg-α-Sialon formed and a great amount of Si remained in these samples at all the fired temperatures. Fortunately, the content of Mg-α-Sialon in these samples were obviously increased by adding a small amount of α-Si₃N₄ as seeds before nitridation.     

Optimal and self‐tuning fusion Kalman filters for discrete‐time stochastic singular systems

Based on the optimal fusion estimation algorithm weighted by scalars in the linear minimum variance sense, a distributed optimal fusion Kalman filter weighted by scalars is presented for discrete‐time stochastic singular systems with multiple sensors and correlated noises. A cross‐covariance matrix of filtering errors between any two sensors is derived. When the noise statistical information is unknown, a distributed identification approach is presented based on correlation functions and the weighted average method. Further, a distributed self‐tuning fusion filter is given, which includes two stage fusions where the first‐stage fusion is used to identify the noise covariance and the second‐stage fusion is used to obtain the fusion state filter. A simulation verifies the effectiveness of the proposed algorithm. Copyright © 2008 John Wiley & Sons, Ltd.