ERP管理系统实务课程的教学改革浅析

论文探讨了课程当前存在的教学问题,提出了优化教学内容、强化多媒体教学、提高教师科研水平、积极参与社会实践等教学方法的一些新思路.     

国际空间太阳能电站的技术进展

综述了当前国际空间太阳能电站技术的研究进展与发展趋势。重点介绍了空间太阳能电站系统方案新构思“太阳塔”和“太阳盘”的特点；介绍了空间太阳能电站的主要相关技术———无线电能传输技术、太阳能转换技术和空间运输技术等的发展趋势；最后简要介绍了月球电站的进展情况。     

基于多元特征的终端区运行场景分类分析方法

为了提升对气象影响下终端区运行场景的认知理解,支撑基于场景的终端区预战术辅助决策及管制新模式的建立,提出了一种基于多元特征的终端区运行场景分类分析方法。针对终端区场景描述与分类需求,构建由终端区气象、交通、流量策略三个领域构成的多元特征,通过多源异构数据的预处理进而建立了终端区场景量化指标集,并选取模糊C均值聚类(FC...     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.     

A closed-form solution for moving source localization using LBI changing rate of phase difference only

Due to the deficiencies in the conventional multiple-receiver localization systems based on direction of arrival(DOA) such as system complexity of interferometer or array and amplitude/phase unbalance between multiple receiving channels and constraint on antenna configuration,a new radiated source localization method using the changing rate of phase difference(CRPD)measured by a long baseline interferometer(LBI) only is studied. To solve the strictly nonlinear problem, a two-stage closed-form solution is proposed. In the first stage, the DOA and its changing rate are estimated from the CRPD of each observer by the pseudolinear least square(PLS) method,and then in the second stage, the source position and velocity are found by another PLS minimization. The bias of the algorithm caused by the correlation between the measurement matrix and the noise in the second stage is analyzed. To reduce this bias, an instrumental variable(IV) method is derived. A weighted IV estimator is given in order to reduce the estimation variance. The proposed method does not need any initial guess and the computation is small. The Cramer–Rao lower bound(CRLB) and mean square error(MSE) are also analyzed. Simulation results show that the proposed method can be close to the CRLB with moderate Gaussian measurement noise.     

An extended chirp scaling algorithm for spaceborne sliding spotlight synthetic aperture radar imaging

A system impulse response with low sidelobes is critical in synthetic aperture radar（SAR） images because sidelobes contribute to noise and interfere with nearby scatterers. However,the conventional tricks of sidelobe suppression are unable to be exactly applied to the case of spaceborne sliding spotlight SAR due to great azimuth shifts in both time and frequency domains. In this paper, an extended chirp scaling algorithm is presented for spaceborne sliding spotlight SAR data imaging. The proposed algorithm firstly uses the spectral analysis（SPECAN） technique to avoid the azimuth spectrum folding effect and then employs the chirp scaling（CS） algorithm to achieve data focusing, i.e., the so-called two-step approach. To suppress the sidelobe level, an efficient strategy for the azimuth spectral weighting which only involves matrix multiplications and short fast Fourier transformations（FFTs） is proposed, which is a post-process executed on the focused SAR image and particularly simple to be implemented. The SAR image processed by the proposed extended CS algorithm is very precise and perfectly phase-preserving. In the end, computer simulation results verify the analysis and confirm the validity of the proposed algorithm.     

大膨胀比跨声速涡轮流动结构及损失的数值研究

为了揭示跨声速大膨胀比涡轮损失的主要特点和两种不同尾缘冷却方式对损失的影响,以典型大膨胀比跨声速涡轮和跨声速叶栅为研究对象开展了数值研究。研究发现大膨胀比跨声速涡轮的主要损失是叶型损失,占到总损失的65%左右,尾缘激波损失是叶型损失的主要来源。尾缘全劈缝冷气入射通过提高尾缘基压区基压来减少尾缘膨胀波对气流的加速程度,从而降低最高马赫数和激波损失,尾缘压力面劈缝冷气入射通过改变叶片尾缘压力面激波波系结构,使原来的一道激波变成两道或者两道以上的弱激波,从而减少激波损失。两种尾缘冷气方式都有利于降低大膨胀比跨声速涡轮激波损失,但压力面劈缝冷气入射方式效果更为明显。     

转子-支承耦合结构的模型修正研究

在转子-支承耦合结构的动力学分析过程中,结构模态参数计算结果与实验测试结果往往存在较大差异。针对此问题,应用优化算法对结构动力学模型进行修正,使计算模型能更准确地反映结构特性。建立由梁单元、盘单元、弹性支承单元组成的结构动力学有限元模型;选择优化目标函数、设计参数,并对各参数进行灵敏度分析。应用粒子群算法对选取的设计参数进行优化,得到最优模型。利用转子-滚动轴承实验器进行验证,结果表明,方法能够有效地实现转子-支承耦合结构的动力学模型修正,修正后模型更接近实际结构。     

基于A320飞机横航向控制律架构的LQ设计

空客A320飞机横航向控制律采用特征结构配置方法计算闭环增益,实现了期望特征值的配置及横航向关键参数之间的解耦。基于A320横航向控制律架构,提出使用线性二次型(Linear Quadratic,简称LQ)方法,对闭环增益进行重新设计。首先根据期望的特征值引入关键参数的频域整形环节,而后通过调整二次型性能指标加权矩阵实现期望特征值的逼近及关键参数之间的解耦,并求得闭环反馈增益,最后在特征结构、稳定裕度和横航向解耦效果方面与空客设计结果作了对比分析。仿真结果表明,LQ设计可获得与特征结构配置设计相近的结果,即得到接近期望值的特征值,并实现关键变量的解耦,同时保证了闭环稳定裕度。     

Ⅲ—Ⅴ族四元固溶体中原子近邻及次近邻的键长表达方式

基于ＦＤＵＣ模型和Ⅲ－Ⅴ族元素共价半径不变的假设，本文出了Ⅲ－Ⅴ族固溶体中原子近邻和次近邻的键长表达式。这套键长表达式除依赖于四个Ⅲ－Ⅴ族元素的含量（ｘ，ｙ）外，只与四个纯化合物的晶胞参数或这四个Ⅲ－Ⅴ族元素的共价半径有关。而且也含盖了相应的伪二元固溶体的情况。本文还对其他的理论模型作了进一步的比较和讨论。