A Nonlinear Model of Military Expenditure Convergence: Evidence From Estar Nonlinear Unit Root Test

The paper builds a model to empirically test military expenditure convergence in a nonlinear set up. We assert that country A chooses a military strategy of catching up with the military expenditure of its rivals, subject to public spending constraints on public investments, including health and education, leading to decrease in long-term economic welfare. This implies nonlinear convergence path: only when the military expenditure gap between countries reaches the threshold level, will it provide incentives to catch up with rival’s military expenditures. We test this nonlinear catching up hypothesis for 37 countries spanning from 1988 to 2012. Results from individual nonlinear cross-sectionally augmented Dickey–Fuller (NCADF) regression indicate that 53% of countries converge to world’s average military expenditure: where 39% of countries converge to Germany; 33% of countries converge to China; 22% of countries converge to the USA, and 11% of countries converge to Russia. Interestingly, USA does not exhibit nonlinear military expenditure convergence toward world’s average level. For panel NCADF regression, the result suggests that on average, there is evidence for countries converging to USA’s military expenditure at 10% significance level. For the convergence to the world’s average, the statistical significance is at the 1% significance level.     

A characterization of optimal base‐stock levels for a multistage serial supply chain

In this article, we present a multistage model to optimize inventory control decisions under stochastic demand and continuous review. We first formulate the general problem for continuous stages and use a decomposition solution approach: since it is never optimal to let orders cross, the general problem can be broken into a set of single‐unit subproblems that can be solved in a sequential fashion. These subproblems are optimal control problems for which a differential equation must be solved. This can be done easily by recursively identifying coefficients and performing a line search. The methodology is then extended to a discrete number of stages and allows us to compute the optimal solution in an efficient manner, with a competitive complexity. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 32–46, 2016     

基于数据场的作战单元价值评估模型

作战单元价值是目标选择的重要依据。根据作战单元在作战体系中的效用和影响,提出作战单元的属性价值和级联价值及其量化方法,利用层次分析法和数据场理论,分别评估作战单元的属性价值和级联价值,建立作战单元价值评估模型,并进行仿真分析,验证该评估模型的有效性。     

分层流体中水平运动潜体产生的内波分析

从线性化的Euler方程和连续方程出发,采用线性自由面条件,通过傅里叶变换法研究水平运动点源在分层流体中产生的内波.利用源汇分布法分析运动潜体产生的lee波,采用稳定相法计算远场速度.计算结果表明,高模态内波的波域角小于低模态内波的波域角,内波的波域角小于Kelvin波的波域角;随航速增大lee波主要表现为散波.     

未来陆军模块化炮兵(火力)营多火力单元射击任务分配与方案评估模型

通过对未来陆军模块化炮兵(火力)营建立的必要性和特点分析,基于满足该类炮兵(火力)营可进行超大和混合编配、多种弹药同时使用、单炮独立实施火力打击、多级射击单元合理分配多个目标,以及任务分配方案可多方优化与评估等方面的需求,构建了可适用于未来陆军模块化炮兵(火力)营进行多级火力单元射击任务分配和方案评估模型。     

基于模糊AHP法的舰艇威胁能力评估

舰艇平台的威胁能力评估是海战场态势评估的基础。依据舰艇平台搭载的武器装备,建立舰艇威胁能力评估的指标体系,采用层次分析法确定各个指标的权重,构建基于模糊综合评判法的舰艇威胁能力评估模型。基于此模型,对阿利.伯克级I和II型导弹驱逐舰威胁能力进行了评估,实验表明方法合理。     

ISAR成像方位向定标方法研究

提出了一种适合工程应用的ISAR方位向定标方法,通过对相位数据的平滑、分段、拟合,完成了对转速的快捷准确的估算,同时分析了散射点分布对定标精度的影响,结合仿真和试验数据验证了方法的有效性,并根据工程实践的经验,提出了一些提高定标精度的准则。     

应急指挥决策方案的模糊综合评价研究

针对灾害现场应急指挥决策方案优选问题,提出了方案优选评价的可行性、时效性和安全性指标,应用模糊数学的相关理论构建了模糊综合评价的数学模型,采取专家调查打分法解决了方案评价影响因素的权重值及其评价等级的隶属度的确定问题,并采取加权平均算法对权重集A和影响因素评判隶属度矩阵R进行运算,得到的结果不仅反映了所有因素权值的影响,而且保留了单因素评判的全部信息,能够体现"模糊综合评价"的实质。     

维和警察防暴队迎战原则探析

维和警察防暴队在海地任务区遇到很多实际问题。在执勤执法中灵活运用迎战原则,探讨维和警察防暴队迎战原则的法律依据、行动授权和执行程序,总结在任务区复杂多变的情况下维和警察防暴队如何依托国际法规,合理运用迎战原则,有效使用武力授权,合法利用武器装备,严格遵守执行程序的措施和方法,对于完成维和任务具有一定的指导作用。     

卫星通信网作战效能评估研究

通过对卫星通信网完成信息传输作战任务的能力分析,建立了卫星通信网作战效能评估指标体系;将模糊层次分析法和熵权法相结合,建立了确定指标权重向量的综合集成赋权模型,采用专家打分和隶属度函数法计算单因素模糊评估向量,采用相对状态特征值对评估结果进行处理,建立了模糊综合评估模型,实现了卫星通信网作战效能的评估,并对评估结果进行了分析。