基于图像复杂度分类的卫星遥感图像信息隐藏

以卫星遥感图像作为载体图像,提出了一种基于图像复杂度分类的信息隐     

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。     

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.     

航空软件配置管理系统设计和关键技术研究

从军工软件配置管理的需求出发,结合国军标的开发库、受控库和产品库的三库配置管理体系,阐述某自主知识产权的＂航空软件配置管理系统＂的总体设计思路,指出该配置管理系统实现的关键技术为软件配置库的存储设计方法和文件的增量存储和差异比较技术。说明系统软件配置库的存储设计思路和方案,采用编辑图和贪心算法实现文件的增量存储和差异比较技术的解决方案。总结系统的特点和优点,说明系统下一步发展及扩充的几个方向。     

Data fusion algorithm based on state and attribute parameter

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民用航空犯罪学研究的架构与意义

运用犯罪学的基本理论，提出了研究航空犯罪学的基本架构，在此基础上阐明了研究航空犯罪学的意义。