军事工程技术院校争取基金项目的实践与思考

本文阐述了军校开展基金项目研究的重要性,论证了军校申报科学基金项目的可行性,探讨了获取基金项目立项工作的基础和有效途径,并针对军校特点,提出了加强基金申报工作的切实可行的措施和策略。     

Inducing coordination in supply chains through linear reward schemes

Decentralized decision‐making in supply chain management is quite common, and often inevitable, due to the magnitude of the chain, its geographical dispersion, and the number of agents that play a role in it. But, decentralized decision‐making is known to result in inefficient Nash equilibrium outcomes, and optimal outcomes that maximize the sum of the utilities of all agents need not be Nash equilibria. In this paper we demonstrate through several examples of supply chain models how linear reward/penalty schemes can be implemented so that a given optimal solution becomes a Nash equilibrium. The examples represent both vertical and horizontal coordination issues. The techniques we employ build on a general framework for the use of linear reward/penalty schemes to induce stability in given optimal solutions and should be useful to other multi‐agent operations management settings. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

超短波信道建模方法

针对超短波信道传播条件复杂,缺乏相关成熟方法和模型的现状,对当前国内外现有超短波信道模型和建模方法进行了梳理、总结和归纳。简单介绍了超短波传播特性、信道参数以及现有模型,重点梳理了在不同应用场景下,可用于超短波信道建模的方法。然后,针对基于随机传播图理论的方法进行了重点介绍,总结了基于信道参数的模型验证方法。最后,针对不同的超短波应用条件,对相关的方法进行了展望。     

基于跟踪精度控制的多传感器管理方法

针对地面机动目标跟踪过程中的多传感器管理问题展开了研究,设计了一种基于跟踪精度控制的多传感器多目标分配方法。首先,在考虑目标与目标之间、目标与传感器之间和传感器与传感器之间等的多种约束条件下运用基于协方差控制的思想建立了多传感器多目标分配问题的优化模型;接着将等价伪量测的异步融合算法与IMM算法结合,计算各目标在不同融合周期的跟踪精度估计值;最后,以目标的跟踪精度需求为出发点,结合蚁群算法的思想,设计了一种求解所建立的多传感器多目标分配问题的优化模型的算法。仿真结果表明：该管理方法能在确保跟踪精度需求的前提下,根据对各目标跟踪任务的重要程度,合理地调度传感器资源。     

基于Multi-agent协商的多干扰机资源管理

多干扰机协同是组网雷达对抗的一种重要方法。针对多干扰机协同中面临的数据传输率、时效性等因素所引起的干扰资源管理问题,建立了基于中心控制协商和公约协商的干扰资源管理模型,并给出了相应的协同算法与仿真。仿真结果表明：两种方法在组网雷达对抗中均能取得良好的干扰效果及较低的漏威胁目标信号脉冲比例。其中,基于公约的Multi?agent协商在组网干扰资源管理方面具有更好的可行性,其效果优于基于中心控制协商的方法。     

Stochastic regret minimization for revenue management problems with nonstationary demands

We study an admission control model in revenue management with nonstationary and correlated demands over a finite discrete time horizon. The arrival probabilities are updated by current available information, that is, past customer arrivals and some other exogenous information. We develop a regret‐based framework, which measures the difference in revenue between a clairvoyant optimal policy that has access to all realizations of randomness a priori and a given feasible policy which does not have access to this future information. This regret minimization framework better spells out the trade‐offs of each accept/reject decision. We proceed using the lens of approximation algorithms to devise a conceptually simple regret‐parity policy. We show the proposed policy achieves 2‐approximation of the optimal policy in terms of total regret for a two‐class problem, and then extend our results to a multiclass problem with a fairness constraint. Our goal in this article is to make progress toward understanding the marriage between stochastic regret minimization and approximation algorithms in the realm of revenue management and dynamic resource allocation. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 433–448, 2016     

Rose-tinted lenses: how American functionalist strategy inhibits our appreciation of complex conflicts

Strategists and military professionals have previously questioned many of the methodological (theoretical underpinnings, the principles, and rules applied by the discipline) decisions associated with American military strategy, but the direction this essay takes is above and beyond the common methodological rivalries in how we pursue strategic desired future states. To get beyond methodological disputes entirely, we must consider thinking about our thinking as an organization on American strategy. Thus, this article hovers between philosophies, organizational theory, as well as our usually unquestioned belief in something called “strategy”. Questioning things about our basic understanding of the world tends to trigger strong organizational defense mechanisms, for good reason. Critical reflection at deep levels puts our worldview, and our role within it at stake. Nonetheless, as strategic disappointment emerges over multiple complex conflict developments, even the most cherished and guarded choices on how the world ought to work are ripe for critical inquiry. This essay examines the limited single strategic paradigm of the US defense industry and how the latest American National Security Strategy and Army Future Operating Concept (Win in a Complex World through 2030) presents a flawed strategic position. This essay presents valid alternative strategies that operate within different paradigmatic constructs.     

图书馆科技期刊利用效率问题的研究

通过对 1 998年《海军工程学院学报》、《清华大学学报》和《上海交通大学学报》的抽样调查 ,对作者引用的参考文献中科技期刊文献比例进行了调查分析 ,说明了科技期刊的信息价值 ;剖析了影响科技期刊利用的原因 ,并有针对性地提出了科技期刊信息资源的开发方法 .     

多传感器优化布站及管理算法研究

在多传感器优化布站和传感器管理算法研究中 ,提出了传感器覆盖系数和火力通道覆盖系数两个新概念 ,并据此给出了传感器优化布站原则 ,然后针对防空导弹武器系统所面临的各种复杂环境 ,对各种传感器管理算法进行了探讨。     

突发重大疫情风险管理支撑方法研究【专题】

突发重大疫情后,科学的风险管理方法可为有效规避和控制风险提供有力支撑。在突发重大疫情风险管理中,风险识别是基础,风险评估是核心,风险控制是目的。本文系统梳理与分析了风险管理中的常用方法,包括风险识别中的现场勘查法、事故树分析法、过程回溯法、专家认证法和案例分析法等5种方法,风险评估中的风险坐标图法、关键风险指标法、蒙特卡罗法、因果关系法和综合评价法等5种方法,以及风险控制决策中的成本收益决策法、决策树法和损失期望值决策法等3种方法,并对每种方法如何在此次由新型冠状病毒引发的突发重大疫情中实践应用进行了举例说明,可为今后在应对突发重大疫情时进行科学风险识别、有效风险评估和精准风险控制决策提供借鉴与参考。