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241.
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Stephen J. Cimbala 《Defense & Security Analysis》2017,33(3):193-208
Nuclear deterrence and cyber war seem almost antithetical in their respective intellectual pedigrees. Nuclear weapons are unique in their ability to create mass destruction in a short time. Information or “cyber” weapons, at least for the most part, aim at sowing confusion or mass disruption instead of widespread physical destruction. Nevertheless, there are some intersections between cyber and nuclear matters, and these have the potential to become troublesome for the future of nuclear deterrence. For example, cyber attacks might complicate the management of a nuclear crisis. As well, information attacks on command-control and communications systems might lead to a mistaken nuclear launch based on false warnings, to erroneous interpretations of data or to panic on account of feared information blackout. It is not inconceivable that future nuclear strike planning will include a preliminary wave of cyber strikes or at least a more protracted “preparation of the battlefield” by roaming through enemy networks to plant malware or map vulnerabilities. 相似文献
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卫星具有覆盖范围广、可长时间稳定运行、无国界限制、安全性高等独特优势,是提升部队作战效能的"倍增器",也是解决大范围战场信息支撑能力问题的有效手段和最佳途径。21世纪初,高速增长的经济推动越南航天事业驶入了发展的快车道,不仅实现了卫星发射的零突破,还相继发射了多颗通信卫星、遥感卫星和试验型纳卫星。文章主要对越南当前的卫星现状进行总结归纳,并分析其未来的发展计划。 相似文献
244.
信息化战争已经登上了当今世界的舞台,这是军事领域发生的革命性变化。在信息化战争条件下,传统的战争制胜机理发生的新的变化。 相似文献
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李军廷 《中国人民武装警察部队学院学报》2014,(6):67-69
消防业务信息系统日常运维任务是确保实时数据的可用性和完整性,信息能够得到及时处理应用,保障信息系统的正常运行及维护系统资源的安全.加强消防业务系统日常运维的管理标准,规范运维工作的方法,可以减少系统运维中不确定性因素,是提高消防业务工作质量和水平的重要保障. 相似文献
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李振华 《中国人民武装警察部队学院学报》2014,(7):68-71
网络信息管理是新形势下部队管理工作的一项重要内容,对于促进官兵全面发展、加强部队行政管理、提升信息化建设具有重要意义,加强部队网络信息管理必须遵循共享与防范相结合、标本兼治和网络信息技术与官兵素质同步提高规律,从组织领导、官兵思想、安全防护、制度落实和网管人员建设五个方面构筑部队网络信息管理有效策略. 相似文献
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We consider a three‐layer supply chain with a manufacturer, a reseller, and a sales agent. The demand is stochastically determined by the random market condition and the sales agent's private effort level. Although the manufacturer is uninformed about the market condition, the reseller and the sales agent conduct demand forecasting and generate private demand signals. Under this framework with two levels of adverse selection intertwined with moral hazard, we study the impact of the reseller's and the sales agent's forecasting accuracy on the profitability of each member. We show that the manufacturer's profitability is convex on the reseller's forecasting accuracy. From the manufacturer's perspective, typically improving the reseller's accuracy is detrimental when the accuracy is low but is beneficial when it is high. We identify the concrete interrelation among the manufacturer‐optimal reseller's accuracy, the volatility of the market condition, and the sales agent's accuracy. Finally, the manufacturer's interest may be aligned with the reseller's when only the reseller can choose her accuracy; this alignment is never possible when both downstream players have the discretion to choose their accuracy. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 207–222, 2014 相似文献
250.
We consider the problem of assessing the value of demand sharing in a multistage supply chain in which the retailer observes stationary autoregressive moving average demand with Gaussian white noise (shocks). Similar to previous research, we assume each supply chain player constructs its best linear forecast of the leadtime demand and uses it to determine the order quantity via a periodic review myopic order‐up‐to policy. We demonstrate how a typical supply chain player can determine the extent of its available information in the presence of demand sharing by studying the properties of the moving average polynomials of adjacent supply chain players. The retailer's demand is driven by the random shocks appearing in the autoregressive moving average representation for its demand. Under the assumptions we will make in this article, to the retailer, knowing the shock information is equivalent to knowing the demand process (assuming that the model parameters are also known). Thus (in the event of sharing) the retailer's demand sequence and shock sequence would contain the same information to the retailer's supplier. We will show that, once we consider the dynamics of demand propagation further up the chain, it may be that a player's demand and shock sequences will contain different levels of information for an upstream player. Hence, we study how a player can determine its available information under demand sharing, and use this information to forecast leadtime demand. We characterize the value of demand sharing for a typical supply chain player. Furthermore, we show conditions under which (i) it is equivalent to no sharing, (ii) it is equivalent to full information shock sharing, and (iii) it is intermediate in value to the two previously described arrangements. Although it follows from existing literature that demand sharing is equivalent to full information shock sharing between a retailer and supplier, we demonstrate and characterize when this result does not generalize to upstream supply chain players. We then show that demand propagates through a supply chain where any player may share nothing, its demand, or its full information shocks (FIS) with an adjacent upstream player as quasi‐ARMA in—quasi‐ARMA out. We also provide a convenient form for the propagation of demand in a supply chain that will lend itself to future research applications. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 515–531, 2014 相似文献