A robust object-based shadow detection method for cloud-free high resolution satellite images over urban areas and water bodies

Unwanted contrast in high resolution satellite images such as shadow areas directly affects the result of further processing in urban remote sensing images. Detecting and finding the precise position of shadows is critical in different remote sensing processing chains such as change detection, image classification and digital elevation model generation from stereo images. The spectral similarity between shadow areas, water bodies, and some dark asphalt roads makes the development of robust shadow detection algorithms challenging. In addition, most of the existing methods work on pixel-level and neglect the contextual information contained in neighboring pixels. In this paper, a new object-based shadow detection framework is introduced. In the proposed method a pixel-level shadow mask is built by extending established thresholding methods with a new C₄ index which enables to solve the ambiguity of shadow and water bodies. Then the pixel-based results are further processed in an object-based majority analysis to detect the final shadow objects. Four different high resolution satellite images are used to validate this new approach. The result shows the superiority of the proposed method over some state-of-the-art shadow detection method with an average of 96% in F-measure.     

Design and implementation of near-field, wideband synthetic aperture beamformers

A coarray-based near-field, wideband synthetic aperture beamformer using stepped-frequency signal synthesis and post-data acquisition processing is presented. While coarray techniques offer significant reduction in the number of array elements for a given angular resolution, the hybrid subarray-stepped frequency realization of wideband systems simplifies implementations and offers flexibility in beamforming. Proof of concept is provided using real data collected in an anechoic chamber for several pulse shapes and array weightings.     

直升机坠毁响应的有限元模拟

 本文概述用非线性有限元技术对直升机结构的坠毁过程进行数值模拟。所分析的结构包括飞行员座椅、座椅减震器、地板盒段和滑撬。问题被当作结构在规定初速度或脉冲载荷作用下的非线性（大变形与弹塑性）动反应。用特殊设计的单元模拟减震器及座椅滑轨,用间隙单元模拟结构与地面的撞击。     

柔性空间飞行器的变结构控制

 本文研究了大型柔性结构空间飞行器的控制问题。采用设定模态法,将系统化为常微分方程组所描述的系统。此系统是非线性的,被控运动是绕中心毂体的转动机动运动,并详细的讨论了变结构控制规律的应用。     

具有不确定参数的机器人鲁棒轨迹跟踪控制

研究了具有不确定参数的机器人轨迹跟踪控制问题。提出了一种鲁棒控制方案,它由改进力矩发生器和鲁棒补偿器组成,理论分析及仿真实验表明,该控制方案具有较好的跟踪性能。     

Variational Mode Decomposition for Rotating Machinery Condition Monitoring Using Vibration Signals

The failure of rotating machinery applications has major time and cost effects on the industry.Condition monitoring helps to ensure safe operation and also avoids losses.The signal processing method is essential for ensuring both the efficiency and accuracy of the monitoring process.Variational mode decomposition(VMD)is a signal processing method which decomposes a non-stationary signal into sets of variational mode functions(VMFs)adaptively and non-recursively.The VMD method offers improved performance for the condition monitoring of rotating machinery applications.However,determining an accurate number of modes for the VMD method is still considered an open research problem.Therefore,a selection method for determining the number of modes for VMD is proposed by taking advantage of the similarities in concept between the original signal and VMF.Simulated signal and online gearbox vibration signals have been used to validate the performance of the proposed method.The statistical parameters of the signals are extracted from the original signals,VMFs and intrinsic mode functions(IMFs)and have been fed into machine learning algorithms to validate the performance of the VMD method.The results show that the features extracted from VMD are both superior and accurate for the monitoring of rotating machinery.Hence the proposed method offers a new approach for the condition monitoring of rotating machinery applications.     

基于最小曲率半径的软波导安全裕度校核方法

针对传统软波导安全裕度校核方法存在不够准确和/或计算量难以承受的缺陷,文章提出一种基于最小曲率半径的软波导安全裕度校核方法,分析其可行性、便利性及准确性,并给出具体的计算步骤.对同一个算例的分析结果表明,与传统方法相比,此方法可以更加准确地反映软波导的安全裕度.     

航空发动机高空模拟试验燃油流量原位校准系统设计与检验

为满足现代航空发动机高空模拟试验燃油流量高精度、快速度的测量要求,针对涡轮流量计不能长期保持校准曲线的缺陷,提出了原位校准技术。重点介绍了原位校准系统的技术要求、主要功能、工作原理、校准装置、工作模式,以及不确定度评估,并进行了对比检验试验。研究结果表明:该系统主要技术指标满足发动机试验需要,测量不确定度满足要求,主要设备具有高的工作可靠性、可控性和稳定性,可实现原位校准和冗余测量功能。     

不完全状态信息随机系统的变结构控制

根据完全状态信息下随机系统的变结构控制（ＳＶＳＣ）理论进一步研究不完全状态信息下随机系统的变结构控制问题,得到了变结构控制策略,研究了系统的渐近行为。仿真结果表明所得到的变结构控制策略是有效的。     

雷达网信息传输能力评估算法及仿真分析

基于对连通概率、时效性函数、误信率的具体界定，对雷达网的信息传输能力进行了系统的研究。提出了一种具有良好操作性的定量评估方法，并对传输时延动态估计算法进行了仿真。