导弹推进装置飞行试验中故障状态判断与分析

介绍了海军战术导弹用四类推进装置,即液体、固体、涡喷、冲压发动机与燃油、冷气输送系统在靶场飞行试验中曾出现的故障,并以其中部分故障和典型故障图象为例,阐述了故障判断、分析与动力学方程的应用。     

基于ArcGIS的燃气管网水力计算的设计与实现

为利用ArcGIS软件管理燃气管网数据,以特殊方式直接读取ArcMap的燃气管网图形数据,并完成整个管网的水力计算。算法不受管网的规模和结构的限制,以DLL的方式封装了数据的存取和计算功能,作为核心模块集成到基于ArcGIS Object的GIS平台。     

毛泽东《实践论》对传统知行观的超越

对《实践论》与传统知行观的关系进行考察。得出《实践论》不仅对“行”这一范畴进行了改造,而且科学总结了知行关系。     

Multi-state autonomous drilling for lunar exploration

Due to the lack of information of subsurface lunar regolith stratification which varies along depth, the drilling device may encounter lunar soil and lunar rock randomly in the drilling process. To meet the load safety requirements of unmanned sampling mission under limited orbital resources, the control strategy of autonomous drilling should adapt to the indeterminable lunar environments. Based on the analysis of two types of typical drilling media (i.e., lunar soil and lunar rock), this paper proposes a multi-state control strategy for autonomous lunar drilling. To represent the working circumstances in the lunar subsurface and reduce the complexity of the control algo-rithm, lunar drilling process was categorized into three drilling states:the interface detection, initi-ation of drilling parameters for recognition and drilling medium recognition. Support vector machine (SVM) and continuous wavelet transform were employed for the online recognition of dril-ling media and interface, respectively. Finite state machine was utilized to control the transition among different drilling states. To verify the effectiveness of the multi-state control strategy, drilling experiments were implemented with multi-layered drilling media constructed by lunar soil simulant and lunar rock simulant. The results reveal that the multi-state control method is capable of detect-ing drilling state variation and adjusting drilling parameters timely under vibration interferences. The multi-state control method provides a feasible reference for the control of extraterrestrial autonomous drilling.     

Real-time object tracking via least squares transformation in spatial and Fourier domains for unmanned aerial vehicles

This paper addresses the problem of real-time object tracking for unmanned aerial vehicles. We consider the task of object tracking as a classification problem. Training a good classifier always needs a huge number of samples, which is always time-consuming and not suitable for realtime applications. In this paper, we transform the large-scale least-squares problem in the spatial domain to a series of small-scale least-squares problems with constraints in the Fourier domain using the correlation filter technique. Then, this problem is efficiently solved by two stages. In the first stage, a fast method based on recursive least squares is used to solve the correlation filter problem without constraints in the Fourier domain. In the second stage, a weight matrix is constructed to prune the solution attained in the first stage to approach the constraints in the spatial domain. Then, the pruned classifier is used for tracking. To evaluate proposed tracker's performance, comprehensive experiments are conducted on challenging aerial sequences in the UAV123 dataset. Experimental results demonstrate that proposed approach achieves a state-ofthe-art tracking performance in aerial sequences and operates at a mean speed of beyond 40 frames/s. For further analysis of proposed tracker's robustness, extensive experiments are also performed on recent benchmarks OTB50, OTB100, and VOT2016.     

基于自适应遗传BP算法神经网络数据融合的空中目标识别

空中目标识别是现代防空作战的重要研究内容。本文利用不同类型目标产生的多类型传感器的数据信息对目标进行识别。为了训练神经网络目标识别分类器,将遗传算法和BP算法相结合,提出了一种新的自适应遗传BP算法,利用这种神经网络来确定指标的权值。仿真试验结果表明,基于自适应遗传BP算法神经网络的识别是一种简单、可靠的目标识别方法,具有很好的目标识别效果。     

提高《供配电技术》教学效果的有效途径

根据供配电教学实践，从优化课程内容、激发学生学习动机、课程内容程序化、利用实物形象教学、创造课堂教学情景、课堂活动的转换等方面，探讨了提高高职院校该专业课教学效果的有效途径。     

基于深度学习的突防控制博弈对象匹配方法CSCD

针对基于博弈理论设计应对多枚拦截弹的协同突防控制方案时需要确定博弈对象的问题,提出了一种基于长短时记忆(LSTM)网络的拦截弹攻击对象匹配方法。基于传统防空导弹飞行时序与流程构建拦截弹飞行轨迹库,以轨迹库为训练样本对LSTM网络进行训练,并以此为基础构建航迹预测模型与对象匹配模型,实现对拦截弹攻击对象的识别。仿真结果表明,该方法能够有效识别拦截弹拦截目标,为后续的巡航弹突防研究提供支撑。     

单目视觉三维运动位姿测量方法研究

针对基于点特征的单目视觉位姿测量,研究了一种基于不共面5个编码特征点的单目视觉解算算法,利用大靶面高分辨率相机采集运动物体姿态图像,利用目标物体上编码特征点间的几何约束关系,通过正交迭代解算算法完成目标物体的位姿测量。实验结果表明：位移测量不确定度优于0.5mm,姿态测量不确定度优于0.05°,可满足航空航天领域试验测量要求。     

CAPP系统中特征造型描述法的应用

本文结合专为哈尔滨制氧机厂开发的实用型CAPP系统，对CAPP系统的研制进行了探索性的研究，该系统以Windows作为开发平台，在基于零件特征造型建模的基础上，运用面向对象编程技术完成了一个交互式信息输入子系统，实现了回转体零件CAPP系统的信息输入，这里主要介绍零件特征信息模型的建立与特征信息的数据结构。