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.     

电力系统暂态稳定性的概率分析

本文对电力系统暂态稳定中的主要随机因素作出合理的假定后,提出了基于临界切除时间的暂态稳定性概率分析方法。这种方法计及电力系统中系统参数的随机性,计算例题表明了其可行性。     

智能化作战指挥模式需求

智能装备已经走入军队、走向战场,创建智能化作战指挥模式是智能化时代作战指挥的必然发展趋势,智能化作战指挥模式需求分析可为智能作战问题研究提供有效的信息。智能化作战指挥模式的需求分析已经具备了一定的物质、理论和技术基础,同时,也具有了一定的构建思路、实践条件和实验平台。在此基础上,本文从军事需求、功能需求和技术需求以及构建要求四个不同角度进行需求分析,以找准创建需求,为后续工作进一步展开奠定基础。     

Armed Conflict,Military Expenses and FDI Inflow to Developing Countries

This paper investigates the relationship between military expenditure and FDI inflow conditioning on the exposure of a country to armed conflict in the long run. We apply the band spectrum regression estimator, and the maximal overlap discrete wavelet transform, to a panel of 60 developing countries, for the years 1990 to 2013. The estimated results indicate that military expenditure, in the absence of armed conflict, reduces FDI inflow. However, the negative effect is mitigated by increased military expenditure, in the presence of armed conflict. We also show that the effect of military expenditure on FDI is time sensitive, in that it takes time for military expenditure to affect FDI inflow. FDI inflow in response to higher military expenditure is higher for the country that faces higher armed conflict than the country that faces lower armed conflict. The findings are robust in the case of overall as well as internal conflict. These results are also robust to the alternative specification, subsample analysis with different armed conflict thresholds, and the estimation using the time variant long-run models.     

武器系统的效能分析

本文对武器系统效能分析的有关问题作了简要介绍,以期对此一新的领域有所了解。     

空基平台无源定位精度分析

针对三维空间内的空基平台对海面目标的无源定位问题,在考虑了多种测量误差因素的条件下,建立了定位模型,分析了各种测量误差对最终定位精度的影响.仿真实验表明,所采用的定位精度分析方法能够有效的分析空基平台的定位精度.从仿真实验结果中得到了各种测量误差对定位精度影响的一些指导性结论,为提高空基平台无源定位的测量精度提供了依据.     

基于UML的侦察监视系统仿真分析

侦察监视系统的仿真是一体化联合作战仿真系统的重要组成部分。根据侦察监视系统的未来发展,进行了侦察监视系统的仿真需求分析,提出了仿真系统所要实现的基本功能,并利用UML对侦察监视仿真系统的角色、用例进行了分析,用用例图对整个仿真系统功能进行了描述。在此基础上,对系统进行了静态建模和动态建模。结果表明利用UML对侦察监视系统进行仿真分析,过程完整、易于理解,便于获取军事需求。     

基于方位变化率的目标运动分析

目标方位变化率对运动要素解算有着重要的影响.但不同目标运动要素(目标距离、航向或速度)的求解精度,对目标的方位变化率又有着不同的要求.从确定性算法入手,进行了方位变化率对目标运动要素解算精度影响的理论分析,并通过仿真计算验证了理论分析的正确性,证明了该理论具有一定的应用价值.     

一种惯性器件常值误差对系统误差影响的分析方法

在平台式惯性导航系统中,陀螺仪和加速度计的常值误差是制约系统最终精度的重要因素之一。通过分析在无阻尼惯性导航系统中,惯性器件对平台误差角、速度误差和定位误差的影响,给出了在初始对准后,因惯性器件常值误差引起的系统固有误差和这类固有误差随时间的变化规律。结果表明,除经度误差随时间有振荡发散现象外,其它误差均为周期振荡有界。利用给出的结论,在设计惯性导航系统时通过分析系统误差要求,对于选择惯性器件具有一定的借鉴意义。     

网络谣言的心理分析与管控

近年来,随着智能移动终端和互联网技术的结合,上网变得十分便利。网民数量激增的同时,网络谣言层出不穷,给社会安全与稳定造成不良影响。文章从心理学角度深入分析助推网络谣言的原因,并基于心理规律提出网络谣言的管控措施。