美军推进人工智能军事应用的举措、挑战及启示

人工智能技术的发展加速了军事智能化的脚步。本文分析了美军在推进人工智能军事应用方面采取的一系列举措,如注重国家战略层面的顶层设计,出台一系列智能化发展战略规划;部署各类军事智能化研究项目,开展大数据、智能算法研究,促进人工智能技术向情报处理、无人作战平台、指挥控制、武器装备系统、作战方式变革的渗透转化;重视智能化技术的基础理论研究和人才培养,聚焦核心和关键技术的突破,夯实军事智能化发展的基础。阐述了美军在推进人工智能军事应用进程中面临的来自技术、信任、伦理等多方面的挑战,并从成熟算法民转军用、寻求认知智能算法突破、培养军事智能化复合型人才等角度提出几点启示。     

近期美国海军南海地区活动态势分析

随着南海地区力量结构和美对华战略的转变,南海地区成为中美战略博弈的焦点。为围堵遏制中国的崛起,美国针对中国在南海实施了一系列海上挑衅行为。美国海军作为美国军事干预的主要力量,从兵力部署、演习演训、“航行自由”行动等着手,积极拉拢域内外盟友,展开并强化了在南海地区的军事活动。这些军事活动表现出极强的针对性和实战性,致使中美海上摩擦和竞争加剧。未来,美国为维护主导的全球秩序,将进一步提升美国海军在南海地区的威慑力。美国海军会借助并增加域内盟友的军事力量,继续维持高强度的装备平台活动及“航行自由”行动,推动海上力量合作。     

Exact analysis of (R,s, S) inventory control systems with lost sales and zero lead time

We study an (R, s, S) inventory control policy with stochastic demand, lost sales, zero lead‐time and a target service level to be satisfied. The system is modeled as a discrete time Markov chain for which we present a novel approach to derive exact closed‐form solutions for the limiting distribution of the on‐hand inventory level at the end of a review period, given the reorder level (s) and order‐up‐to level (S). We then establish a relationship between the limiting distributions for adjacent values of the reorder point that is used in an efficient recursive algorithm to determine the optimal parameter values of the (R, s, S) replenishment policy. The algorithm is easy to implement and entails less effort than solving the steady‐state equations for the corresponding Markov model. Point‐of‐use hospital inventory systems share the essential characteristics of the inventory system we model, and a case study using real data from such a system shows that with our approach, optimal policies with significant savings in inventory management effort are easily obtained for a large family of items.     

军校培育践行当代军人核心价值观之我见

面对当前社会的复杂形势,价值观念、评价体系受到前所未有的挑战,作为培养军队建设人才和可靠接班人的军队院校,务必做到四个紧贴,把培育当代革命军人核心价值观融入院校建设的方方面面,着力抓好思想教育、舆论引导、文化熏陶、实践养成,使当代革命军人核心价值观内化为青年学员的政治信仰和自觉行动。     

优化学员队“管理育人”模式及相关制度的实践与探索

武警院校学员队处于教学管理第一线,在培养适应部队现代化建设合格人才中负有重要使命和职责。以武警成都指挥学院学员17队的实践为依据,探索有利于学员学习成长的教育管理模式,制定和完善有利于培养提高学员综合素质的标准和制度,营造有利于学员成才的育人环境和氛围。     

基于MVC的分布式作战应用框架研究

MVC作为一种经典的软件模式,在界面程序设计和B/S系统中得到了广泛应用.随着分布式技术的发展,MVC的含义和用途变得更加广泛,不仅可以用于组件的构造,也可用于分布式程序的设计.针对MVC模式和分布式作战应用的特点进行了深入分析,提出了一种基于MVC的分布式作战应用框架,在保持传统C/S架构优势的同时,增强了系统的可扩展性,实现了业务流程和逻辑计算的有效分离,为大型C/S作战应用系统的开发提供了一个有效的架构解决方案.     

Lp（M）空间的嵌入性质

利用一列Lebesgue空间Lpn引进了一类Banach函数空间Lp（M）空间,并以现代分析的方法讨论了Lp（M）的嵌入性质,得到Lp（M）可以成为L∞与Lp的中间空间。     

复合材料层合板疲劳寿命形状参数与门槛值分析方法

复合材料性能具有较大的分散性,在表征复合材料疲劳寿命时,必须考虑分散性的影响.以M21C复合材料开孔层合板为研究对象,采用Sendeckyj等效静强度模型和随机变量函数的概率分布方法推导了复合材料层合板疲劳寿命形状参数和剩余强度形状参数的关系,通过试验和统计的方法获得了M21 C复合材料开孔层合板的疲劳寿命形状参数和疲...     

远程监控在靶场指挥显示系统中应用探讨

靶场指挥显示系统具有结构复杂、地域分散的特点,维护难度大。通过对靶场指挥显示系统使用和维护现状的研究,引入远程监控的思想,采用C/S网络结构的远程控制技术,在现有指挥显示系统中增加远程监控功能,对分布式的指挥显示系统进行集中管理,提高了指挥显示系统软件的可靠性和维护性,在试验任务中取得了较好的效果。     

Optimal pricing and inventory control policy in periodic‐review systems with fixed ordering cost and lost sales

This paper studies a periodic‐review pricing and inventory control problem for a retailer, which faces stochastic price‐sensitive demand, under quite general modeling assumptions. Any unsatisfied demand is lost, and any leftover inventory at the end of the finite selling horizon has a salvage value. The cost component for the retailer includes holding, shortage, and both variable and fixed ordering costs. The retailer's objective is to maximize its discounted expected profit over the selling horizon by dynamically deciding on the optimal pricing and replenishment policy for each period. We show that, under a mild assumption on the additive demand function, at the beginning of each period an (s,S) policy is optimal for replenishment, and the value of the optimal price depends on the inventory level after the replenishment decision has been done. Our numerical study also suggests that for a sufficiently long selling horizon, the optimal policy is almost stationary. Furthermore, the fixed ordering cost (K) plays a significant role in our modeling framework. Specifically, any increase in K results in lower s and higher S. On the other hand, the profit impact of dynamically changing the retail price, contrasted with a single fixed price throughout the selling horizon, also increases with K. We demonstrate that using the optimal policy values from a model with backordering of unmet demands as approximations in our model might result in significant profit penalty. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2006