Multi-scale traffic vehicle detection based on faster R-CNN with NAS optimization and feature enrichment

It well known that vehicle detection is an important component of the field of object detection. However, the environment of vehicle detection is particularly sophisticated in practical processes. It is compara-tively difficult to detect vehicles of various scales in traffic scene images, because the vehicles partially obscured by green belts, roadblocks or other vehicles, as well as influence of some low illumination weather. In this paper, we present a model based on Faster R-CNN with NAS optimization and feature enrichment to realize the effective detection of multi-scale vehicle targets in traffic scenes. First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted Neural Architecture Search (NAS) on the backbone network used for feature extraction of Faster R-CNN to generate the optimal cross-layer connection to extract multi-layer features more effectively. Third, we used the object Feature Enrichment that combines the multi-layer feature information and the context information of the last layer after cross-layer connection to enrich the information of vehicle targets, and improve the robustness of the model for challenging targets such as small scale and severe occlusion. In the imple-mentation of the model, K-means clustering algorithm was used to select the suitable anchor size for our dataset to improve the convergence speed of the model. Our model has been trained and tested on the UN-DETRAC dataset, and the obtained results indicate that our method has art-of-state detection performance.     

A method to determine the shell layout scheme for equipment battlefield damage tests under artillery fire

In this paper,a new method for determining the shell layout scheme is proposed,which can make the equipment damage data by the battlefield damage test resemble as close as possible the actual combat data.This method is based on the analysis of the impact point distribution and effective damage area of equipment.In order to obtain the position of the impact points,an impact point distribution model under artillery fire was established.Similarly,in order to obtain the effective damage area of equipment,the concepts of generalized damage area and task-based equipment functional damage probability were demonstrated,and the corresponding calculation model was established.Through case analysis,the shell layout scheme was effectively obtained,verifying the correctness of the proposed method.     

开罗会议后国民政府结束战争的准备

开罗会议后,国民政府从各个方面开始了结束战争的种种准备工作。无论在军事方面如设立中国陆军总司令部等,还是在政治方面如策反汪伪集团为其所用、收复台湾和东北的准备等,或是在外交方面如处置日本、扶助韩国独立运动和确定对待法越政策等,都取得了一定的进展和成果。但从总体上说,国民政府结束战争的准备是不充分的,这种不充分对于战后中国政治和外交产生了重要的影响。研究开罗会议后国民政府结束战争的准备工作,将有助于完整地理解中国抗日战争的全过程,并有利于推进对于中国战后史的研究。     

主动悬挂原理试验机动平台的设计及试验研究

某型坦克采用扭杆弹簧而无阻尼器的被动悬挂系统,实际行驶中车体的振动较大,严重影响了其行驶平稳性和乘坐舒适性;为了提高车辆的行驶平顺性和操纵稳定性,进而提高在复杂路面上的越野速度,设计了该型坦克的慢主动悬挂原理试验机动平台,采用模糊RBF神经网络自适应控制策略对主动悬挂平台进行了实车试验,结果表明车体的减振性能得到了明显的提高,验证了所设计的慢主动悬挂系统的优越性。     

新形势下高校校报定位与自身发展

随着高校教育教学改革的不断深入,作为高等教育重要组成部分的高校校报也面临着新的机遇和挑战。高校校报只有适应新形势,根据自身特点和属性,就校报的内容、权威性、特色性、服务性、开放性、贴近性准确定位,才能使校报发展之路越走越宽,显示出旺盛的生命力。     

独立分量分析在雷达盲信号处理上的应用

独立分量分析(ICA)是近年来发展起来的一种有效的雷达盲信源分离方法。目前新体制雷达的大量涌现,运用原有的雷达分选方法是无法分选的,这已经无法适应现代复杂的电磁环境。在深入分析FastICA算法的基础上,将其应用于连续波雷达信号分选中。计算机仿真表明,这种算法应用于连续波雷达盲信号分选时,不仅提高了信号的分选速度和信号分离的准确率,而且可以有效地提高信号分选的效能,也为盲信号处理提供了一种新的思路。     

协同满意度的舰艇编队协同防空作战效能评估

针对舰艇编队防空火力协同合作“效果”的度量问题,引入协同满意度的定义,建立了基于协同满意度的舰艇编队协同防空作战效能模型.利用语言变量和二元语义,给出了舰艇编队防空火力协同满意度评价方法,从而解决了编队防空火力协同合作“效果”的评估问题.最后通过一个实例验证了模型的有效性和实用性.     

简谐外磁场环境下海森堡XXZ模型的热力学纠缠

研究了在简谐外磁场环境下的海森堡XXZ模型,并通过计算解出热力学纠缠度。模拟表明,取不同的各向异性参数时,系统的热力学纠缠度对外部磁场和环境温度的变化比较敏感,并随简谐磁场的变化表现出周期性。固定各向异性参数时,热纠缠度随温度的增加呈现衰减趋势;增大各向异性参数时,热纠缠度则很快地趋于零,其对应临界温度也迅速降低。     

不同含水量超细钛酸钡电流变液性能的研究

采用溶胶-凝胶的方法,通过高温烧结得到了超细钛酸钡(BaTiO3)粉体,烧结产物经SEM、XRD等表征手段对粉体的形貌和晶型进行分析。采用卡尔-费休法测定了配制的电流变液中的含水量,讨论了不同含水量对钛酸钡的电流变性能的影响。结果表明,含水钛酸钡ER液在含水量为117．2μg／g时,屈服应力、表观粘度和漏电流密度达到最大值;要使含水钛酸钡ER液具有一定的ER效应,且在其实验仪器测试范围内(电场强度最大可达2．5kV／mm;漏电流最大可达10μA)具有电流变效应,含水量应小于或等于88．1μg／g。     

多传感器优化分配数学模型及其求解

当传感器资源有限而同时又有多个目标存在时,利用最大信息增益准则,在目标身份和目标优先级确定的基础上,将传感器的优化分配问题转化为指派问题进行求解,并对算法进行了仿真实验。