日本遗弃化学武器紧急处置中挖掘清理技术研究

就日本遗弃化学武器紧急处置中的挖掘清理技术进行了论述。着重论述了紧急处置现场的设置、挖掘方法步骤、程序、初始位置的挖掘以及污染物的包装等技术。同时,介绍了该技术在南京黄胡子山等地日本遗弃化学武器紧急处置中的应用情况。并对挖掘方法、进度及现场管理等工作提出了探讨性建议。     

空面电视制导导弹巡航段效能研究

为解决如何提高空面电视制导导弹巡航段效能的问题,提出了一种巡航段效能评估模型,该模型包含两个效能指标：突防概率和捕获目标概率;进而分别研究了巡航高度与巡航速度对效能指标的影响;最后对不同巡航高度和巡航速度下的空面电视制导导弹巡航段进行仿真,并使用蒙特卡洛法得到了巡航段效能指标和效能。仿真结果表明：空面电视制导导弹的巡航...     

对设计性实验的思考

设计性实验是巩固学生专业知识,培养学生动手能力、综合运用学科知识能力和自主创新能力,提高学生综合素质的重要方法。基于设计性实验的特点就如何有效开展设计性实验以及实验的组织实施、成果报告、效果评价的方法,提出了以教师为主导,以学生为主体的教学模式。     

群众路线:中国共产党的根本路线

群众路线是我们党创造性地运用马克思主义的群众观点创立的根本路线,是我们党的优良传统和政治优势.新形势下坚持群众路线,是巩固党的执政地位的必然要求,是推进中国特色社会主义宏伟事业的强大动力,是构建社会主义和谐社会的重要因素,是党的执政能力建设和作风建设的核心所在.当前要结合人民群众的新特点,探索坚持群众路线的新规律;着眼人民群众的新诉求,拓展坚持群众路线的新载体;汲取人民群众的新创见,丰富坚持群众路线的新形式,不断开创坚持群众路线的新局面.     

MF-CFI: A fused evaluation index for camouflage patterns based on human visual perception

The evaluation index of camouflage patterns is important in the field of military application. It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism. In order to make the evaluation method more computationally intelligent, a Multi-Feature Camouflage Fused Index (MF-CFI) is proposed based on the comparison of grayscale, color and texture features between the target and the background. In order to verify the effectiveness of the proposed index, eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index (UIQI), Camouflage Similarity Index (CSI) and Structural Similarity (SSIM). Twenty-four different simulated targets are designed in a grassland background, 28 observers participate in the experiment and record the eye movement data during the observation process. The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data, both in the designed digital camouflage patterns and large-spot camouflage patterns. Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception, the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.     

多武器平台目标域协同射击控制模型研究

目标域协同射击控制模型是在单平台火控系统空域窗射击控制、射击门控制等基础上,针对多武器平台对点目标或面目标协同射击的需求,进行了目标域和射击效能的定义,提出了空间/时间复合三维射击门的概念,设计了三维射击门模型,分别建立了多武器平台对点目标射击控制模型和多武器平台对面目标射击控制模型,通过对多武器平台协同射击效能的计算分析,证明了目标域协同射击控制模型可显著提高多武器平台协同射击对目标的火力打击效能.     

Real-time prediction of projectile penetration to laminates by training machine learning models withfinite element solver as the trainer

Studies on ballistic penetration to laminates is complicated, but important for design effective protection of structures. Experimental means of study is expensive and can often be dangerous. Numerical simu-lation has been an excellent supplement, but the computation is time-consuming. Main aim of this thesis was to develop and test an effective tool for real-time prediction of projectile penetrations to laminates by training a neural network and a decision tree regression model. A large number of finite element models were developed;the residual velocities of projectiles fromfinite element simulations were used as the target data and processed to produce sufficient number of training samples. Study focused on steel 4340tpolyurea laminates with various configurations. Four different 3D shapes of the projectiles were modeled and used in the training. The trained neural network and decision tree model was tested using independently generated test samples using finite element models. The predicted projectile velocity values using the trained machine learning models are then compared with thefinite element simulation to verify the effectiveness of the models. Additionally, both models were trained using a published experimental data of projectile impacts to predict residual velocity of projectiles for the unseen samples. Performance of both the models was evaluated and compared. Models trained with Finite element simulation data samples were found capable to give more accurate predication, compared to the models trained with experimental data, becausefinite element modeling can generate much larger training set, and thus finite element solvers can serve as an excellent teacher. This study also showed that neural network model performs better with small experimental dataset compared to decision tree regression model.     

【邀请论文】特朗普政府太空防卫战略调整的动因、特点与影响

面对太空领域变化的安全环境和自身实力的相对衰弱,特朗普政府对美国的太空防卫战略进行了重大调整。相比奥巴马政府的太空防卫战略,特朗普政府明确将太空作为新型作战域,加快天军建设,并以中俄为主要对手,联合盟友构建军民一体、内外联动的太空防卫体系。本文认为,特朗普政府对于太空防卫战略的调整凸显了美国欲加快太空武器化、谋求外空绝对军事力量优势的霸权企图。但这无疑会加剧目前愈演愈烈的太空“安全困境”,将更多国家拉入“太空军备竞赛”的恶性循环中,对国际太空安全和全球战略稳定带来消极影响。展望拜登政府的太空防卫政策,其军事色彩会略微下降,但也将更重视技术积累和太空的开发利用。     

舰载单脉冲跟踪雷达数学建模与仿真

根据典型舰载单脉冲跟踪雷达的组成及工作原理,介绍一种舰载单脉冲跟踪雷达仿真建模方法。重点描述了仿真原理及仿真模型组成,介绍了雷达信号特性仿真、雷达伺服系统仿真、雷达信号处理系统仿真等关键环节的数学仿真模型。结合仿真软件功能需求,给出了软件结构、软件运行流程等仿真软件设计要点。     

军警体育教学中认知结构与动作技能的形成

军警动作技能是军警部队官兵所必备的素质之一,也是其具备野外作战能力的基础。但是,有些身体素质良好的军警人员,掌握和发挥动作技能的水平却很低。在教学中要从全新的角度对军警人员获得动作技能的过程进行认知分析,以促进认知结构与动作技能的形成。