复杂电磁环境下微弱目标探测技术研究

利用广播、电视以及卫星等信号为照射源的无源雷达,在复杂电磁环境下的干扰信号严重影响了远距离微弱目标的探测,为此提出了空时二维反干扰处理和二维长时相干积累技术。重点分析最大信干噪比（MSINR）准则的空域自适应零点形成技术和基于遗忘因子的改进型递推最小二乘（RLS）时域自适应处理算法,解决了微弱目标长时积累的可实现问题。最后在实验系统中进行了实际数据的仿真和验证,提高了微弱目标的检测概率,同时大目标的信杂比也提高了5 dB 以上,在实际工程中得到了很好的应用。     

一种适应复杂电磁环境的重频跟踪方法

针对现代电子战日益复杂的电磁环境以及不断涌现的新体制雷达,本文采用脉冲预测的方法对指定的雷达信号进行重频跟踪。由于脉冲预测的特征规律与目标雷达重复周期精确一致,重频跟踪器解决了如何在复杂电磁环境下进行实时信号跟踪的问题,并且能够适应多种不同体制的雷达信号。     

基于单目视觉的行车环境安全预警系统设计

文中设计了基于机器视觉的行车环境安全预警系统,采用包含视频图像采集、行车环境检测以及行车环境安全预警3个功能模块的系统结构,重点研究并提出了新的行车环境识别方法,包含车道线提取和前方车辆检测方法,并对系统硬件架构及软件流程和算法进行说明,实现高速公路行车环境的识别并进行危险警示。实验结果显示,系统能够准确地对前方车道线和车辆进行检测,实现设计效果。     

基于虚拟现实环境的脑机接口技术研究进展

将脑-机接口(brain-computer interface,BCI)技术与虚拟现实(virtual reality,VR)相结合构成基于虚拟现实的脑-机接口(BCI-VR)新技术是最近在多媒体和娱乐领域出现的一种BCI应用新模式。BCI-VR兼取两者优势互补,同时又相互促进创新,显示出广阔应用前景。本文从BCI-VR系统基本构成、BCI对VR控制和VR对BCI影响等方面,较详细介绍了近年来BCI-VR的主要研究方法、研究进展和成就,并根据作者体会小结了目前存在的难点与未来的可能发展动向,以与读者交流、共同促进BCI-VR新技术的快速发展。     

基于半实物仿真平台的复杂电磁环境评估方法

随着军队信息化建设的加快,复杂电磁环境无疑成为现代信息化战争的基本特征,“制电磁权”将成为作战双方的争夺“制高点”。依据电磁环境的组成和特点,提出了一种基于半实物仿真仿真平台的复杂电磁环境评估方法和分级标准,并通过实例对该方法进行了计算验证,结果表明该方法较好地反映了实验室条件下电磁环境的复杂性,可有效支撑电子装备研究。     

Multilevel models for evaluating the risk of pedestrian–motor vehicle collisions at intersections and mid-blocks

Walking is a popular form of physical activity associated with clear health benefits. Promoting safe walking for pedestrians requires evaluating the risk of pedestrian–motor vehicle collisions at specific roadway locations in order to identify where road improvements and other interventions may be needed. The objective of this analysis was to estimate the risk of pedestrian collisions at intersections and mid-blocks in Seattle, WA. The study used 2007–2013 pedestrian–motor vehicle collision data from police reports and detailed characteristics of the microenvironment and macroenvironment at intersection and mid-block locations. The primary outcome was the number of pedestrian–motor vehicle collisions over time at each location (incident rate ratio [IRR] and 95% confidence interval [95% CI]). Multilevel mixed effects Poisson models accounted for correlation within and between locations and census blocks over time. Analysis accounted for pedestrian and vehicle activity (e.g., residential density and road classification). In the final multivariable model, intersections with 4 segments or 5 or more segments had higher pedestrian collision rates compared to mid-blocks. Non-residential roads had significantly higher rates than residential roads, with principal arterials having the highest collision rate. The pedestrian collision rate was higher by 9% per 10 feet of street width. Locations with traffic signals had twice the collision rate of locations without a signal and those with marked crosswalks also had a higher rate. Locations with a marked crosswalk also had higher risk of collision. Locations with a one-way road or those with signs encouraging motorists to cede the right-of-way to pedestrians had fewer pedestrian collisions. Collision rates were higher in locations that encourage greater pedestrian activity (more bus use, more fast food restaurants, higher employment, residential, and population densities). Locations with higher intersection density had a lower rate of collisions as did those in areas with higher residential property values. The novel spatiotemporal approach used that integrates road/crossing characteristics with surrounding neighborhood characteristics should help city agencies better identify high-risk locations for further study and analysis. Improving roads and making them safer for pedestrians achieves the public health goals of reducing pedestrian collisions and promoting physical activity.     

纤维形态对针刺非织造布吸声系数的影响

利用驻波管测试方法研究了几种不同截面异形度、不同细度与直径、不同周长比与比表面积,以及不同体积分数与空隙率纤维材料的吸声性能。实验结果表明,纤维异形截面在一定程度上影响材料吸声性能,而吸声系数受纤维异形度的影响较复杂,即异形度不是吸声系数的本质影响因素。纤维比表面积参数是影响吸声性能的本质因素,比表面积越大,气-固相声阻越大,而纤维细度即纤维平均直径与其比表面积成反比,故直径越大,吸声系数越小。纤维体积分数是影响吸声性能的又一本质因素,空隙率越小,体积分数越大,即孔洞越小,空隙率越小,吸声系数越大。     

蓄压器低温振动试验技术研究

阐述了蓄压器低温振动试验的两种试验系统,通过计算,得出了满足试验需求的加注储罐和增压储罐的容积;采用具有一定强度的玻纤增强聚醚醚酮材料对蓄压器与振动台面进行隔热取得了良好的效果;分析了蓄压器重心与动圈轴线不重合时的偏心力矩,通过采用辅助支撑的方法可以减小横向加速度的影响。     

Passive acoustic emissions from particulates in a V-blender

Context: Regulatory agencies are recommending the development of process analytical technologies (PAT) to improve the efficiency and product quality during pharmaceutical manufacturing.

Objective: The objective of the research was to investigate the potential application of passive acoustic emission monitoring of a V-blender.

Materials and methods: Trials were conducted with sugar spheres, lactose or MCC in a V-blender. Vibrations from acoustic emissions were measured using PCB Piezotronics accelerometers with ICP signal conditioners.

Results and discussion: A wavelet filter was applied to the measured acoustic emissions to remove vibrations from the tumbling motion of the V-shell, allowing a focus on information about particle motion and interactions within the V-shell. The ideal sensor location was determined to be the lid of one of the V-shell arms due to the impact of the tumbling particles on the lid and transmission of the vibrations from other particle motion within the V-shell. The amplitude of vibrations increased with particle size due to larger particle momentum before a collision. The fill level and the V-shell scale also influenced the measured vibrations as particle motion was affected which in turn affected momentum. Changes in particle flowability could be detected through variations in the measured acoustic emissions.

Conclusion: The measured vibrations from passive acoustic emissions reflected particle motion and interactions within a V-blender demonstrating potential as a monitoring method.