某型子母弹子弹稳定带参数筛选技术分析

本文以某型子母弹子弹研制过程中遇到的问题为背景,分析了子母弹子弹稳定带对子弹落姿和可靠性影响,通过机理分析和试验验证得出了稳定带参数优化调整方案,对相关产品优化设计及技术改进有一定借鉴意义。     

面向构件的装备指挥训练仿真系统

在总结现有研究成果的基础上,分析装备指挥训练仿真系统（ECTSS）的使用要求,运用基于HLA的仿真技术、虚拟现实和计算机兵力生成等关键技术,借鉴可组构性仿真思想,采用面向构件的系统设计方法,构建系统体系结构,探讨系统功能,规范系统运行流程,为装备指挥训练仿真系统开发奠定坚实基础。     

基于SPW的有源干扰条件下雷达系统仿真分析

利用SPW软件建立了某型雷达系统和有源遮盖性干扰模型，并在此基础上进行了仿真。基于仿真结果，对有源干扰条件下雷达性能进行亍分析。     

提升当代革命军人核心价值观培育的针对性思想性科学性

进一步增强当代革命军人核心价值观培育的效果,要着眼增强培育工作的针对性,努力实现从自发到自觉的转变;着眼增强培育工作的思想性,努力实现从感性到理性的升华;着眼增强培育工作的科学性,努力实现从零碎到系统的集成.     

网络舆论智能引导仿真推演模型与系统构建

传统马甲机械发帖的网络舆论引导方式存在智能水平不高、效果不佳的缺点。人工智能的快速发展为网络舆论智能引导奠定了坚实的理论与技术基础。本文突破新闻传播学的思维定式，利用智能体、系统建模与仿真等理论技术，研究网络舆论智能引导，提出“态势感知-仿真推演-舆论引导”的网络舆论智能引导思路，构建网络舆论智能引导仿真推演模型，明确仿真推演工具，进而构建网络舆论智能引导系统，在仿真推演的基础上实施网络舆论引导，从而颠覆传统马甲的机械式发帖引导方式，破解难以在真实网络环境中直接尝试各种引导策略的困局。本文的研究成果对于丰富网络舆论斗争理论，占领网络舆论制高点，具有重要理论意义和参考价值。     

Balancing a one‐way corridor capacity and safety‐oriented reliability: A stochastic optimization approach for metro train timetabling

In urban rail transit systems of large cities, the headway and following distance of successive trains have been compressed as much as possible to enhance the corridor capacity to satisfy extremely high passenger demand during peak hours. To prevent train collisions and ensure the safety of trains, a safe following distance of trains must be maintained. However, this requirement is subject to a series of complex factors, such as the uncertain train braking performance, train communication delay, and driver reaction time. In this paper, we propose a unified mathematical framework to analyze the safety‐oriented reliability of metro train timetables with different corridor capacities, that is, the train traffic density, and determine the most reliable train timetable for metro lines in an uncertain environment. By employing a space‐time network representation in the formulations, the reliability‐based train timetabling problem is formulated as a nonlinear stochastic programming model, in which we use 0‐1 variables to denote the time‐dependent velocity and position of all involved trains. Several reformulation techniques are developed to obtain an equivalent mixed integer programming model with quadratic constraints (MIQCP) that can be solved to optimality by some commercial solvers. To improve the computational efficiency of the MIQCP model, we develop a dual decomposition solution framework that decomposes the primal problem into several sets of subproblems by dualizing the coupling constraints across different samples. An exact dynamic programming combined with search space reduction strategies is also developed to solve the exact optimal solutions of these subproblems. Two sets of numerical experiments, which involve a relatively small‐scale case and a real‐world instance based on the operation data of the Beijing subway Changping Line are implemented to verify the effectiveness of the proposed approaches.