空间运输飞行器材料与制造技术需求分析

空间运输飞行器已经成为国际航天技术新的发展趋势,对材料和制造技术从两方面提出了新的需求:异形贮箱制造技术和热控材料与制造技术。本文对这两个问题进行了分析,结果表明:异形贮箱和热控硬件的材料与制造是制约空间运输飞行器发展的基础技术,必须在空间运输飞行器研制热潮之前先期突破。     

学生成绩随机后台查询系统

本文分析了ＷＩＮＤＯＷＳ９５的通信体系结构，并将ＶＩＳＵＡＬ ＶＯＩＣＥ ＦＯＲ ＴＡＰＩ控件，通过ＶＩＮＤＯＷＳ９５支持的ＯＬＥ（对象的链接与嵌入）机制，将它嵌入到由ＶＩＳＵＡＬ ＢＡＳＩＣ开发的应用程序中，从而实现了学生成绩随机后台查询。     

旋翼着陆器在火星探测中的研究进展

旋翼着陆器是下一轮国际火星探测的重要发展方向.论文首先回顾了火星探测软着陆的发展概况,分析了旋翼着陆器的结构组成、火星探测工作原理及特点.其次,阐述了开展旋翼着陆器设计过程中所需的关键技术.     

基于自适应算法的带罩阵列天线方向图综合

提出一种基于自适应天线理论的带罩阵列天线方向图综合方法。先用射线追踪法计算到达罩内阵列天线的入射信号,通过自适应算法进行波束赋形,再用表面积分法得到带罩自适应天线的远区辐射场。用权函数的迭代来减小带罩方向图和无罩方向图的差别,实现天线与罩的一体优化。数值仿真结果表明,该方法能实现对带罩阵列天线主瓣指向、零陷位置和副瓣电平的控制,同时减小了天线罩对系统辐射特性方面的影响。     

一种双层微带反射阵天线单元设计及应用

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Aeroelastic two-level optimization for preliminary design of wing structures considering robust constraints

An aeroelastic two-level optimization methodology for preliminary design of wing struc- tures is presented, in which the parameters for structural layout and sizes are taken as design vari- ables in the first-level optimization, and robust constraints in conjunction with conventional aeroelastic constraints are considered in the second-level optimization. A low-order panel method is used for aerodynamic analysis in the first-level optimization, and a high-order panel method is employed in the second-level optimization. It is concluded that the design of the abovementioned structural parameters of a wing can be improved using the present method with high efficiency. An improvement is seen in aeroelastic performance of the wing obtained with the present method when compared to the initial wing. Since these optimized structures are obtained after consideration of aerodynamic and structural uncertainties, they are well suited to encounter these uncertainties when they occur in reality.     

BP神经网络理论在模型修正的应用

神经网络由于其本身具有的优越性，已广泛应用于各个领域中的分类、联想问题。将神经网络理论用于对利用有限元分析方法得到的系统模型进行修正，从计算结果看，该方法收敛速度快且收敛到全局最优解。     

温度对液体中超声速度的影响

本文导出了超声波速度同液体压缩系数及密度关系，研究了压缩系数及密度与温度的关系，进而研究了温度对声速及声时的影响，用实验测量了不同的液体成份下的声时同温度的关系，从而提出了进行液体成份分析所必需的参量，对用超声波分析液体成份提供了理论依据，对提高产品质量及实现工业在线检测有一定的实用价值。     

场独立-场依存认知风格对大学英语听力教学的影响

认知风格与语言学习任务具有显著的相关性。本文根据英语学习者场独立-场依存认知风格在听力理解中表现出来的不同特点,提出不同的大学英语听力教学策略,旨在因材施教,提高学习者的听力能力和语言应用能力。     

Using the radial basis function neural network to predict ionospheric critical frequency of F2 layer over Wuhan

Neural networks (NNs) have been applied to ionospheric predictions recently. This paper uses radial basis function neural network (RBF-NN) to forecast hourly values of the ionospheric F₂ layer critical frequency(f_oF₂), over Wuhan (30.5N, 114.3E), China. The false nearest neighbor method is used to determine the embedding dimension, and the principal component analysis (PCA) is used to reduce noise and dimension. The whole study is based on a sample of about 26,000 observations of f_oF₂ with 1-h time resolution, derived during the period from January 1981 to December 1983. The performance of RBF-NN is estimated by calculating the normalized root-mean-squared (NRMSE) error, and its results show that short-term predictions of f_oF₂ are improved.