试析新中国成立初期人民解放军学习苏军活动

新中国成立初期，人民解放军展开了学苏军活动。这次学苏军活动，经历了全面学习、有分析有批判地学习以及确立“以我为主”方针等三个历史阶段。通过学习、借鉴苏军经验，人民解放军技战术水平和协同作战能力有了很大提高，正规化现代化革命化建设取得显著成绩，同时也积累了许多值得借鉴的经验教训。     

基于支持向量机和虚拟仪器谐波频率检测

支持向量机是采用结构风险最小化原则代替传统统计学中的基于大样本的经验风险最小化原则的新型机器学习方法,具有出色的学习分类能力和推广能力,广泛地应用于模式识别和函数拟合中。提出了一种基于支持向量机算法(SVM)的检测飞机电网中谐波频率的新方法,以支持向量机方法为理论基础,利用强大的图形化开发软件LabVIEW为开发平台,设计了谐波检测系统。经实验发现,该系统在采样点数较少的情况下,仍能比较准确检测出各次谐波频率,系统具有操作简单,稳定可靠、测试精度高等特点。     

一种无人战斗机系统使用保障费用分析方法

基于无人战斗机系统在使用保障上的特点,通过对有人战斗机使用保障费用模型进行合理改造,使其能适用于无人战斗机的使用保障费用分析。经过改造的模型具有结构清晰、概念明确的特点。适合在飞机总体设计阶段用于全寿命周期的费用估算以及飞机的费效分析和综合优化设计。通过与有人战斗机的使用保障费用进行对比计算表明,无人战斗机系统的使用保障费用具有明显的经济优势。     

水面战仿真可视化技术

针对水面战仿真系统可视化技术研究的需求,研究了基于Vega Prime和MuhiGen Creator的可视化关键技术;三维实体模型技术、海面生成技术、OBB层次包围树的碰撞检测技术和电磁场信息等非视觉物理量的可视化技术.构建了由舰艇编队、导弹等武器实体、空间环境、海面环境和战场特殊效果组成的水面战仿真可视化系统.三维图象逼真,可视化效果良好.     

A multi‐stage stochastic programming approach for network capacity expansion with multiple sources of capacity

In networks, there are often more than one sources of capacity. The capacities can be permanently or temporarily owned by the decision maker. Depending on the nature of sources, we identify the permanent capacity, spot market capacity, and contract capacity. We use a scenario tree to model the uncertainty, and build a multi‐stage stochastic integer program that can incorporate multiple sources and multiple types of capacities in a general network. We propose two solution methodologies for the problem. Firstly, we design an asymptotically convergent approximation algorithm. Secondly, we design a cutting plane algorithm based on Benders decomposition to find tight bounds for the problem. The numerical experiments show superb performance of the proposed algorithms compared with commercial software. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 600–614, 2017     

强化军政基础训练 打牢军事技能基础

文章围绕打牢军事技能基础,从狠抓学员思想教育,帮其认清训练价值;完善激励机制,调动学员训练热情;改进教学方法,提高训练水平;注重教养一致,巩固训练效果进行了论述。     

485通信总线的可靠性设计

本文阐述了RS-485总线规范，描述了影响RS-485总线通信速率和通信可靠性的几个因素，分析了产生的原因并给出解决问题的软硬件方案和措施。     

Integrating decisions with advance supply information in an assemble-to-order system

We study a periodic-review assemble-to-order (ATO) system with multiple components and multiple products, in which the inventory replenishment for each component follows an independent base-stock policy and stochastic product demands are satisfied according to a First-Come-First-Served rule. We assume that the replenishment for various component suffers from lead time uncertainty. However, the decision maker has the so-called advance supply information (ASI) associated with the lead times and thus can take advantage of the information for system optimization. We propose a multistage stochastic integer program that incorporates ASI to address the joint optimization of inventory replenishment and component allocation. The optimal base-stock policy for the inventory replenishment is determined using the sample average approximation algorithm. Also, we provide a modified order-based component allocation (MOBCA) heuristic for the component allocation. We additionally consider a special case of the variable lead times where the resulting two-stage stochastic programming model can be characterized as a single-scenario case of the proposed multistage model. We carry out extensive computational studies to quantify the benefits of integrating ASI into joint optimization and to explore the possibility of employing the two-stage model as a relatively efficient approximation scheme for the multistage model.     

数字化战场指挥控制系统体系结构

以数字化战场对指控系统能力需求、环境要求、信息流程等要素为依据,从作战体系结构、系统体系结构和技术体系结构等方面研究了数字化战场指控系统的主要构成及相互关系,探讨了其主要功能及系统结构组成,并提出了数字化战场指控系统体系结构效能评估的数学模型及可靠性检验,以期逐步形成科学规范的指控装备体系结构论证方法.