煤体变形局部化的梯度塑性理论研究

本文采用白光数字散斑相关方法对煤在单轴压缩下变形破坏进行研究,定量的测出了煤的变形局部化带宽度.并通过应变梯度塑性理论,在屈服函数中引入应变梯度二阶项.采用Drucker-Prager准则解析得出了煤试件的变形局部化带宽度公式并根据试验确定煤的材料内部长度.     

一种弹载超宽带共形天线

介绍了一种可以用于弹载被动制导系统的、可以减小空间占用面积的超宽带共形对数周期折合槽天线。给出了单个天线的仿真和实测结果,以及这种天线安装于共形平台上的测试结果。该型天线采用了共面波导馈电方法,具有抗振动、抗冲击、短时耐高温等特性。此外该型天线还具有低剖面、易于安装于大型金属表面等特点。     

基于Modbus协议的校飞集中监控系统

根据机载校飞设备相对分散、数据采集量大等特点,综合应用Modbus现场总线技术,结合组态王软件特点,构建校飞集中监控系统。利用组态王研制出机载校飞设备的监控系统,实现机载校飞设备的实时监视、控制,可以实时采集和显示设备的相关参数,并能进行事后回放。系统大大降低了校飞成本,提高了工作效率。     

激光刻蚀技术及其在航天器天线制造中的应用

以可实现频率复用、高灵敏度和低噪声的航天器先进固面天线反射器(极化和频率敏感反射器等)为例,主要介绍了利用镀膜/激光刻蚀技术进行反射器表面高精度金属薄膜图形制作过程中的关键技术问题和解决措施,同时简要介绍了已尝试过的三维曲面高精度薄膜图形制作技术和激光刻蚀技术的现状和发展方向。     

重力空射稳定伞阻力特征自动化设计

为进行重力空射稳定伞的初步设计,文章以多体动力学软件(ADAMS)为二次开发平台,构建了重力空射箭-伞系统的动力学仿真模型;推导了火箭和稳定伞的气动模型,并利用动态链接子程序实现了气动力的加载;通过ADAMS命令语言建立了参数化模型和用户界面。在此基础上,自编可行方向优化算法实现了稳定伞阻力特征的自动化设计。最后,根据仿真计算结果对试验火箭出舱时间、安全通道、回收方式等问题进行了分析,为后续空射稳定伞的细节设计以及空射总体方案的确定提供了参考。     

无线电陆空通话英语交际能力模型研究

民航无线电陆空通话语言是以英语为载体的一种空地交流的特殊语言。本文在应用语言学的研究成果之上,提出了该语言的交际能力模型,该模型包括语言能力、策略能力、背景知识和心理生理机制四个部分。笔者结合民航陆空通话实际,对模型各个部分进行了分析,重点解析了策略能力在模型中的核心功能。     

基于工业物联网的混流车间机器人自适应调度

随着工业物联网技术与人工智能技术深度融合,物料机器人已广泛应用于物联网车间中.针对车间存在实时动态变化和状况不确定等诸多复杂因素,本文提出以组分层建树和以实时状态为根节点的SP–MCTS(Single-player monte-carlo tree search algorithm)搜索方法实现车间自适应调度决策.该方...     

气动换向阀阀芯/阀座撞击特性研究

针对某型气动换向阀在研制过程中出现由于阀芯/阀座撞击变形导致阀芯卡死的现象,对阀芯/阀座的撞击特性进行了仿真研究,定量分析了撞击过程以及不同阀座高度对撞击特性的影响,根据仿真结果对换向阀进行了改进设计,试验结果表明改进后的换向阀满足使用要求.     

Matching suitable feature construction for SAR images based on evolutionary synthesis strategy

In the paper,a set of algorithms to construct synthetic aperture radar（SAR）matching suitable features are frstly proposed based on the evolutionary synthesis strategy.During the process,on the one hand,the indexes of primary matching suitable features（PMSFs）are designed based on the characteristics of image texture,SAR imaging and SAR matching algorithm,which is a process involving expertise;on the other hand,by designing a synthesized operation expression tree based on PMSFs,a much more flexible expression form of synthesized features is built,which greatly expands the construction space.Then,the genetic algorithm-based optimized searching process is employed to search the synthesized matching suitable feature（SMSF）with the highest effciency,largely improving the optimized searching effciency.In addition,the experimental results of the airborne synthetic aperture radar ortho-images of C-band and P-band show that the SMSFs gained via the algorithms can reflect the matching suitability of SAR images accurately and the matching probabilities of selected matching suitable areas of ortho-images could reach 99±0.5%.     

FAST FEATURE RANKING AND ITS APPLICATION TO FACE RECOGNITION

A fast feature ranking algorithm for classification in the presence of high dimensionahty and small sample size is proposed. The basic idea is that the important features force the data points of the same class to maintain their intrinsic neighbor relations, whereas neighboring points of different classes are no longer to stick to one an- other. Applying this assumption, an optimization problem weighting each feature is derived. The algorithm does not involve the dense matrix eigen-decomposition which can be computationally expensive in time. Extensive exper- iments are conducted to validate the significance of selected features using the Yale, Extended YaleB and PIE data- sets. The thorough evaluation shows that, using one-nearest neighbor classifier, the recognition rates using 100-- 500 leading features selected by the algorithm distinctively outperform those with features selected by the baseline feature selection algorithms, while using support vector machine features selected by the algorithm show less prominent improvement. Moreover, the experiments demonstrate that the proposed algorithm is particularly effi- cient for multi-class face recognition problem.