在求“变”中推进西南边防部队转型发展

西南边防部队驻防于我国西南边境地区,西起西藏自治区的日土县,东至广西壮族自治区的防城港市,担负着边防管控和边境防御作战等重要职能,在捍卫国家主权和安全中地位作用十分特殊。随着军队调整改革的深入落实,西南边防部队正处于转型重塑的关键时期,必须紧紧围绕新形势、新体制、新职能,着眼应急指挥、军事训练、边境管控、内外环境等关键要素和现实问题,在求"变"中推进创新发展,不断提升履职能力,切实为捍卫国家领土主权完整和维护边境稳定提供坚强保证。     

在新时代对培育大学生综合国防素质的思考

综合国防素质是在适应世界军事变革发展和国家安全新需要的基础上,对传统国防素质的一次改进与提升。与传统国防素质不同,综合国防素质强调的是对综合国防意识、综合国防知识以及综合国防技能的掌握和运用。新时代,弘扬和培育大学生综合国防素质是贯彻党的十九大精神、落实国家教育事业"十三五"规划部署的重要举措,对加快实施人才强国战略、实现新时代强军目标发挥着重要作用。     

虚拟现实在心理战中的应用及展望

虚拟现实是用虚拟的情境模拟现实的世界,通过虚拟的多维空间,使用户体验到身临其境的感觉。文章通过深度剖析虚拟现实的历史沿革、发展现状与技术特点,结合其在军事中的运用以及发展前景,提出虚拟现实能够对心理战参战人员的心理训练、战场环境模拟和心理战效果评估提供借鉴和支持。     

进军新疆

1949年10月12日,中国人民解放军第一野战军第1兵团第2军从酒泉出发进军新疆。新疆地域辽阔,从酒泉至喀什2500多公里,沿途峰峦叠嶂,沙漠瀚海,冰川雪岭,艰险异常。官兵们顶风沙、冒严寒,日夜兼程,除了同严酷的自然环境斗争外,还随时准备粉碎国民党顽固分子发动武装叛乱。进军新疆的胜利,为新生的人民共和国西部边陲,筑起了一道坚不可摧的钢铁屏障。     

E级超级计算机故障预测的数据采集方法

面向未来E级超级计算机,提出用于故障预测的数据采集框架,能够全面采集与计算结点故障相关的状态数据。采用自适应多层分组数据汇集方法,有效解决随着系统规模增长数据汇集过程开销过大的问题。在TH-1A超级计算机上的实现和测试表明,该数据采集框架具有开销小、扩展性好的优点,能够满足未来大规模系统故障预测数据采集的需求。     

Approximation results for min‐max path cover problems in vehicle routing

This article studies a min‐max path cover problem, which is to determine a set of paths for k capacitated vehicles to service all the customers in a given weighted graph so that the largest path cost is minimized. The problem has wide applications in vehicle routing, especially when the minimization of the latest service completion time is a critical performance measure. We have analyzed four typical variants of this problem, where the vehicles have either unlimited or limited capacities, and they start from either a given depot or any depot of a given depot set. We have developed approximation algorithms for these four variants, which achieve approximation ratios of max{3 ‐ 2/k,2}, 5, max{5 ‐ 2/k,4}, and 7, respectively. We have also analyzed the approximation hardness of these variants by showing that, unless P = NP , it is impossible for them to achieve approximation ratios less than 4/3, 3/2, 3/2, and 2, respectively. We have further extended the techniques and results developed for this problem to other min‐max vehicle routing problems.© 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

基于DSP的旋转弹用微小型导航系统设计

在无陀螺捷联惯导系统中,针对旋转弹体积小、功耗大、采样频率高、姿态变化快、解算周期短等问题。为满足旋转弹对其导航计算机的严格要求,提出了一种基于DSP的旋转弹用微小型导航系统设计,首先叙述了系统的总体方案设计,接着重点介绍了系统各模块的软硬件设计。本设计在硬件上节省了系统的体积和功耗,软件设计上节省了解算周期。     

高炮火控雷达射击安全工程设计

从原理和工程设计两个方面较为系统地阐述了高炮火控雷达射击安全诊断与控制方法,提出射击安全性设计的重要性、必要性和总体设计思路,论述了射击安全诊断与控制装置的设计方案及其关键技术,指出了它的应用范围及其可扩展性。     

A partial characterization of the optimal ordering/rationing policy for a periodic review system with two demand classes and backordering

We consider a finite horizon periodic review, single product inventory system with a fixed setup cost and two stochastic demand classes that differ in their backordering costs. In each period, one must decide whether and how much to order, and how much demand of the lower class should be satisfied. We show that the optimal ordering policy can be characterized as a state dependent (s,S) policy, and the rationing structure is partially obtained based on the subconvexity of the cost function. We then propose a simple heuristic rationing policy, which is easy to implement and close to optimal for intensive numerical examples. We further study the case when the first demand class is deterministic and must be satisfied immediately. We show the optimality of the state dependent (s,S) ordering policy, and obtain additional rationing structural properties. Based on these properties, the optimal ordering and rationing policy for any state can be generated by finding the optimal policy of only a finite set of states, and for each state in this set, the optimal policy is obtained simply by choosing a policy from at most two alternatives. An efficient algorithm is then proposed. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

基于量子粒子群优化的无人飞行器路径规划

根据地形障碍、敌方防御雷达、防空火力等威胁以及禁飞区的分布情况,引入最小威胁面的概念,利用B-Sp line插值逼近最小威胁面中的三维航迹在二维水平面内的投影,从而将三维曲线的规划问题简化为二维平面中控制点的寻优问题。采用量子粒子群优化算法,将约束条件和搜索算法相结合,有效解决了简单粒子群算法在高维空间中易陷入局部最优点的问题,简化了问题复杂度、提高了计算效率。仿真结果表明,生成的航迹具有地形跟随、障碍回避和威胁回避等功能。