AHP方法在系(部)工作评价中的应用

本文给出了系(部)工作评价的AHP模型，并对模型进行求解，说明了该模型的有效性。     

现代远程教育的媒体素材构建方法

本文阐述了媒体素材的采集及处理方法 ,对现代远程教育工程建设可提供有效的帮助     

高等教育多样化与质量的多样性

从高等教育的功能和大众化的形成等方面分析了高等教育多样化的成因,从整体性、学术性和满足社会及受教育主体需要等方面阐述了高等教育质量多样性的态势,从宏观、中观、微观3个层面探讨高等教育质量保证体系的多层次性.     

固体燃料ATR涡轮/压气机匹配方法研究

为了获得固体燃料空气涡轮火箭发动机(SP-ATR)中涡轮和压气机的匹配工作特性,建立了涡轮和压气机的工作特性模型,根据SP-ATR转速、功率和背压平衡的工作特点,分别基于涡轮和压气机的工作环境先后采用两种不同的方法完成了二者的匹配。对比两种匹配方法得出结论:(1)基于涡轮的匹配方法与转速稳定过程一致,可确定特定飞行环境中发动机的转速;(2)基于压气机的匹配方法需要条件更少、适用范围更广,可用于特定转速调控方案下驱涡燃气流量的确定。两种匹配方法的计算结果相对Ax STREAM仿真结果的最大误差为10.75%,两种匹配方法的计算结果相差不超过8%。将建立的匹配方法应用于HARM弹自主爬升飞行过程,得到SP-ATR驱涡燃气流量的定量调控规律。     

NASA的“周六科学实验”课

中国航天员王亚平在太空授课,轰动大陆,中国教育部表示,大约有6千万学生和教师观看了这次太空授课。“神十”任务的这一亮点,也成为中国教育的一个亮点。2002年11月,佩蒂特在国际空间站上载人航天的任务之一就是教育下一代。美国航宇局（NASA）在太空授课已经有很多年了。在过去的几十年里,美航宇局曾经从美国中小学教师里选拔了四位航天员。他们在美国青少年中产生了巨大的影响。本文要介绍的“周六科学实验”是美航宇局的科学家航天员佩蒂特进行的。佩蒂特出生于1955年。     

基于全局Newton-Raphaon方法的弹流润滑分析

基于全局Newton-Raphaon方法对滑动轴承的弹流润滑性能进行了数值摸拟。比较了弹性变形对连杆大头轴承最小油膜厚度和最大油膜压力的影响。结果表明:全局Newton-Raphaon方法很好的解决了收敛困难,程序运行时间长的问题;考虑表面弹性变形的连杆大头轴承与刚性轴承相比,最小油膜厚度与最大油膜压力的变化趋势相同;一个工作循环内,弹性轴承的最小油膜厚度略大于刚性轴承,而最大油膜压力则明显减小。     

依托中华典籍故事的高校思想政治教育的路径与实现

中华优秀传统文化是维系中华民族持续健康发展思想精神血脉.传承中华优秀传统文化,讲好中华典籍故事,是高校思想政治工作的拓展和延伸,是高校"立德树人"思想政治工作的新内容,是在深度变革的新形势下用社会主义文化软实力兴教强国.讲好中华典籍故事要遵循高校思想政治工作规律,"因事而化、因时而进、因势而新".把典籍故事中优秀传统核...     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

Singular formalism and admissible control of spacecraft with rotating flexible solar array

This paper is concerned with the attitude control of a three-axis-stabilized spacecraft which consists of a central rigid body and a flexible sun-tracking solar array driven by a solar array drive assembly. Based on the linearization of the dynamics of the spacecraft and the modal identi- ties about the flexible and rigid coupling matrices, the spacecraft attitude dynamics is reduced to a formally singular system with periodically varying parameters, which is quite different from a space- craft with fixed appendages. In the framework of the singular control theory, the regularity and impulse-freeness of the singular system is analyzed and then admissible attitude controllers are designed by Lyapunov＇s method. To improve the robustness against system uncertainties, an H∞ optimal control is designed by optimizing the H∞ norm of the system transfer function matrix. Comparative numerical experiments are performed to verify the theoretical results.     

Gray bootstrap method for estimating frequency-varying random vibration signals with small samples

During environment testing, the estimation of random vibration signals （RVS） is an important technique for the airborne platform safety and reliability. However, the available meth- ods including extreme value envelope method （EVEM）, statistical tolerances method （STM） and improved statistical tolerance method （ISTM） require large samples and typical probability distri- bution. Moreover, the frequency-varying characteristic of RVS is usually not taken into account. Gray bootstrap method （GBM） is proposed to solve the problem of estimating frequency-varying RVS with small samples. Firstly, the estimated indexes are obtained including the estimated inter- val, the estimated uncertainty, the estimated value, the estimated error and estimated reliability. In addition, GBM is applied to estimating the single flight testing of certain aircraft. At last, in order to evaluate the estimated performance, GBM is compared with bootstrap method （BM） and gray method （GM） in testing analysis. The result shows that GBM has superiority for estimating dynamic signals with small samples and estimated reliability is proved to be 100% at the given confidence level.