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Robert E. Kuenne 《Defence and Peace Economics》2013,24(3):239-247
The design of military posture is an exercise in confronting potential enemies’ capabilities within the context of geographic, technological, temporal, political and economic constraints. No formal model is capable of encapsulating the essentials of so complex an environment for closed or simulated analysis, but it is useful to have an informal framework within which to reason interactively within these dimensions. This paper presents such a scaffolding, patterned on the notion of a military posture as the output of an economic process whose structure reflects important determinants of the characteristics and extents of weaponry and expenditures that are appropriate to the environment within the feasibility set determined by the constraints. The analysis remains at an abstract level, but it does highlight the important shifts toward preparation for littoral warfare, greater reliance on reserve rather than active forces, and necessary changes in missions among military departments. 相似文献
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针对漂浮式微型波力发电装置,根据弗汝德·克雷洛夫假定法对几种常用形状浮子所受波浪力的大小进行了计算,得出垂直圆柱形浮子吸收波浪能效果最佳的结论;运用装置和浮子共振时吸收能量最大的原理,对垂直圆柱形浮子的基本参数进行了研究,为漂浮式微型波力发电装置捕浪器浮子的设计打下了基础。 相似文献
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IEEE1149.1边界扫描机制是一种新型的VLSI电路测试及可测试性设计的有效方法,为了高效地应用边界扫描机制对电路系统进行测试,必须对其所涉及的理论方法进行深入探讨。本文应用布尔矩阵理论建立起边界扫描测试的数学描述模型,并基于所建立的模型导出了边界扫描测试中的故障检测条件和故障隔离条件。为边界扫描测试生成算法的深入研究奠定了理论基础。 相似文献
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介绍超宽带线性调频信号基带的数字产生方法及其实现技术。首先对线性调频信号的两种主要数字产生方法进行了简要阐述和比较,然后根据波形存储直读法提出了一种超宽带线性调频信号产生方案,分析了基带数字产生的主要关键技术,并进行了系统实现和测试。测试结果表明本文所提出的方法是可行的。 相似文献
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We present a stochastic optimization model for planning capacity expansion under capacity deterioration and demand uncertainty. The paper focuses on the electric sector, although the methodology can be used in other applications. The goals of the model are deciding which energy types must be installed, and when. Another goal is providing an initial generation plan for short periods of the planning horizon that might be adequately modified in real time assuming penalties in the operation cost. Uncertainty is modeled under the assumption that the demand is a random vector. The cost of the risk associated with decisions that may need some tuning in the future is included in the objective function. The proposed scheme to solve the nonlinear stochastic optimization model is Generalized Benders' decomposition. We also exploit the Benders' subproblem structure to solve it efficiently. Computational results for moderate‐size problems are presented along with comparison to a general‐purpose nonlinear optimization package. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48:662–683, 2001 相似文献
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时序电路测试产生过程中,在进行敏化路径选择时会遇到失败问题.本文针对迭代组合阵列模型测试中产生的这些问题进行了有益的探讨,并提出了改进的时序电路测试产生算法,使之更加完善. 相似文献
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