试论毛泽东新闻宣传工作的群众观

毛泽东新闻宣传工作的群众观是对马克思主义新闻观的创新发展,在中国革命和社会主义建设中发挥了极其重要的作用。新形势下,重温革命导师关于新闻宣传工作的基本观点和指导思想,对加强党的建设、加强党对新闻宣传工作的领导具有重大的现实意义。从人民群众是党的新闻宣传工作的主要对象、教育并武装群众是党的新闻宣传工作的首要任务、党的新闻宣传工作必须与人民群众血脉相通等三个方面,阐述了毛泽东新闻宣传工作的群众观所包含的主要内容。     

消防行政强制执行代履行制度研究

根据《消防法》和《消防监督检查规定》,结合公安消防机构的行政执法特点,针对代履行制度的定义及其法律关系进行分析论证,提出了符合公安消防机构行政执法特点的代履行实施程序。     

冷喷涂粒子速度影响因素的数值模拟与分析

冷喷涂过程中,粒子速度直接影响冷喷涂材料改性效果.由于射流流场为超音速气固两相冲击射流,用实验方法研究粒子速度的影响因素很困难,为此通过数值模拟方法再现流场中粒子速度的变化情况.用Fluent软件以冷喷涂技术中超音速气固两相射流流场为研究对象,对于气固两相流的模拟,则采用颗粒轨道模型(欧拉-拉格朗日模型)获得粒子在射流流场的速度变化情况;分析粒径、材料、喷涂距离以及载气等因素对粒子速度的影响.进一步优化冷喷涂工艺方案,得到了粒子特性与粒子到达基板前最大速度之间的优化关系.     

智能水雷主动干扰方法研究

针对传统的扫雷方法在清除智能化水雷引信方面存在的不足,分析了利用主动干扰信号反水雷的思路,通过分析智能引信的工作机理及在干扰背景下对目标信号的检测能力,建立了基于奈曼-皮尔逊准则的主动干扰反水雷模型.针对水雷磁引信,选择电极式电磁扫雷具为干扰源,以中型舰船为保护对象,通过计算三者的相互位置与信噪比的关系,以及水雷检测出...     

四足机动平台的静步态规划研究

基于仿生学原理进行了四足机动平台的腿部结构设计,分析了负载因子、周期、步距等步态设计参数对静步态稳定性的影响,提出了平地直行条件下从起步到稳定行走的步态调整方式,并对静步态行走全过程的稳定裕度进行了求解。计算结果表明：所规划的行走步态能达到静步态运动稳定性要求。     

先张预应力BFRP筋混凝土梁受弯性能试验研究

玄武岩纤维筋是一种新型复合材料,具有轻质、高强、非磁性、耐高温、耐酸碱等多重优点.完成了直径为10 mm的BFRP筋基本力学性能测试.进行了3根先张有粘结预应力BFRP筋混凝土梁,1根非预应力BFRP筋混凝土梁的受弯性能对比试验,分析了试验梁受力过程及破坏形态、平截面假定情况、特征荷载值、荷载--挠度关系、裂缝发展情况...     

水面舰艇攻势防御的效能评估及优势论证

进攻是最好的防守。针对水面舰艇攻势防御问题,对水面舰艇攻势防御的概念及使用前提进行了讨论,通过与守势防御的比较,从理论上对攻势防御的优势进行了论证。最后,根据论证结果、数据仿真及作战实际,给出了攻势防御的使用原则。     

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.     

Effect of metal powders on explosion of fuel-air explosives with delayed secondary igniters

In order to improve the energy level of fuel air explosive(FAE) with delayed secondary igniters, high energetic metal powders were added to liquid fuels mainly composed of ether and isopropyl nitrate. Metal powders' explosive properties and reaction mechanisms in FAE were studied by high-speed video, pressure test system, and infrared thermal imager. The results show that compared with pure liquid fuels, the shock wave overpressure, maximum surface fireball temperature and high temperature duration of the mixture were significantly increased after adding high energetic metal powder. The overpressure values of the liquid-solid mixture at all measuring points were higher than that of the pure liquid fuels. And the maximum temperature of the fireball was up to 1700 ℃, which was higher than that of the pure liquid fuels. After replacing 30％of aluminum powder with boron or magnesium hydride, the shock wave pressure of the mixture was further increased. The high heat of combustion of boron and the hydrogen released by magnesium hydride could effectively increase the blast effect of the mixture. The improvement of the explosion performance of boron was better than magnesium hydride. It shows that adding high energetic metal powder to liquid fuels can effectively improve the explosion performance of FAE.     

Research on fuze microswitch based on corona discharge effect

Abnormal voltages such as electrostatic, constant current, and strong electromagnetic signals can erro-neously trigger operation of MEMS pyrotechnics and control systems in a fuze, which may result in casualties. This study designs a solid-state micro-scale switch by combining the corona gas discharge theory of asymmetric electric fields and Peek's Law. The MEMS switch can be transferred from "off" to"on" through the gas breakdown between the corona electrodes. In the model, one of the two electrodes is spherical and the other flat, so a non-uniform electric field is formed around the electrodes. The theoretical work is as follows. First, the relation among the radius of curvature of the spherical electrode, the discharge gap, and the air breakdown voltage is obtained; to meet the low voltage (30-60 V) required to drive the MEMS switch, the radius of curvature of the spherical electrode needs to be 10-50 μm and the discharge gap between the two electrodes needs to be 9-11 μm. Second, the optimal ratio ε is introduced to parameterize the model. Finally, the corona discharge structural parameters are determined by comparing the theoretical and electric field simulation results. The switch is then fabricated via MEMS processing. A hardware test platform is built and the performing chip tested. It is found that when the electrode gap is 9 μm, the electrostatic voltage is at least 37.3 V, with an error of 2.6% between the actual and theoretical air breakdown voltages. When the electrode gap is 11 μm, the electrostatic voltage is at least 42.3 V, with an error of 10.5% between the actual and theoretical air breakdown voltages. Both cases meet the design requirements.