武警部队抢险救灾法律制度的完善

近年来,我国频繁发生历史罕见的自然灾害。在抢险救灾中,武警部队已成为一支重要的突击力量。按照习主席关于“武警部队要勇于承担抢险救灾等急难险重任务”的重要指示,武警法律工作者必须适应武警部队职能拓展的需要,在借鉴国外成功经验的基础上,尽快完善武警部队抢险救灾应急法律制度,切实提高部队执行抢险救灾任务的能力。     

图书馆用户服务的创新转型

网络信息技术的发展,给图书馆带来了巨大变革。图书馆为顺应时代发展积极采取各种措施,实现了组织方式、工作方式和服务方式等多方面的改革与创新。但是,如何从“信息用户”和“信息服务”方面进行组织、开发、交流和提供的状态,使用户以多种方式获取信息、处理信息,还面临许多问题。从图书馆用户需求的变化和图书馆服务模式变革等方面看,通过不断推出新的工作方式和服务形式,可以催生出新兴图书馆业态,促进图书馆多元化趋势的快速发展。     

抢险救援装备保障研究

根据抢险救援任务中装备保障的基本要求,结合抢险救援装备保障的现状,针对完成任务过程中所暴露的问题,从保障预案、保障行动、资源整合和工作组织四个方面,阐述了抢险救援装备保障应采取的措施,为提高部队装备保障水平、提升部队抢险救援能力,提供了可借鉴的理论探索。     

带运力限制及单边时变约束下多出发机场航空战略投送兵力分配模型研究

利用民航力量由多个机场向一个目标机场实施航空战略投送时,由于各民航机场都具有运力限制约束,不可能无限制地快速投送兵力,因此,考虑了在多个出发机场存在运力限制约束的情况下,构建了"投送时间最短,动员机场最少"多目标决策模型,并给出了优化算法和算例.     

建立装备成体系建设模式，为加快海洋强国建设提供强大力量支撑

建设海洋强国战略目标、建设强大海上军事力量需要探索中国特色的装备体系建设新模式。针对未来信息化战争体系对抗的特点,在研究中外武器装备体系建设经验基础上,提出了海上军事力量装备成体系建设的新模式,并讨论了海上军事力量装备成体系建设的有关问题。     

军事通信领域上下文本体建模及不确定性推理

为支持军事通信业务的智能化,研究了军事通信业务上下文信息的表示和推理,提出了一种表示业务上下文信息的语法结构、语义以及上下文元信息的本体建模方法。并利用贝叶斯网络理论,提出了一种支持不确定性推理的业务上下文认知模型的构建方法,最后通过案例分析验证了模型和结论的合理性。     

基于模糊滑模控制的航空EMA调速系统

永磁无刷直流电动机是航空机电作动器(EM A)实现作动控制的关键部件,而电机控制方式的优劣则是决定航空EM A调速系统性能的重要因素。传统的滑模变结构控制策略由于存在抖振现象,对永磁无刷直流电机的控制精度和稳定性不利。针对航空EM A调速控制精度要求高的特点,将模糊控制和滑模控制相结合,把开关函数及其微分作为输入量,通过模糊推理获得滑模控制的控制量,该控制器既保持了常规模糊控制器的优点,又减弱了滑模控制的抖振现象。仿真及实验表明:该控制器稳定性好,对参数变化有很强的鲁棒性,系统响应速度快,具有较高的控制精度。     

Polaris,East of Suez: British Plans for a Nuclear Force in the Indo-Pacific, 1964–1968

This article investigates the little-known plans formulated by Harold Wilson's Labour government to deploy Polaris submarines in the Indo-Pacific region. The scheme was first proposed in 1965 as a response to several problems faced by British policy-makers, including China's acquisition of a nuclear capability, Britain's wish to maintain a meaningful position ‘East of Suez’ at reduced cost, and German pressure for equal treatment within NATO on nuclear matters. Despite extensive high-level discussion, the plans were finally abandoned in mid-1968, as Labour moved more decisively to forsake the world role.     

French war plans, 1914: The ‘Balance of Power Paradox’

Historians have noted that both German and French war preparation in 1914 fell victim to the inadequacies of traditional threat-based planning: vulnerability to ‘threat deception’ which caused each to underestimate or mischaracterize the threat; a tendency to ‘mirror-image’ by fitting intelligence into preconceived notions of how the enemy was expected to behave; and ‘group think’ that discouraged a serious consideration of alternative scenarios. This article applies the ‘Balance of Power Paradox’ to explain why, at the dawn of the twentieth century, war planning in both Germany and France was driven by an acute sense of weakness which encouraged each side to fashion highly ‘risk acceptant’ strategies. In particular, he examines why and how French commander-in-chief General Joseph Joffre evolved and rationalized his audacious, and disastrous, Plan XVII to leverage French weaknesses and prevent the stronger German Army from bringing the full weight of its military strength to bear against France. The potential implication of this historical vignette is that leaders, and by extension military planners, of both strong and weak states focus on the constraints faced by their opponents, and assume that they can avoid the limitations of their position, while their opponent cannot.     

Bounded flexibility in days‐on and days‐off scheduling

This article presents a flexible days‐on and days‐off scheduling problem and develops an exact branch and price (B&P) algorithm to find solutions. The main objective is to minimize the size of the total workforce required to cover time‐varying demand over a planning horizon that may extend up to 12 weeks. A new aspect of the problem is the general restriction that the number of consecutive days on and the number of consecutive days off must each fall within a predefined range. Moreover, the total assignment of working days in the planning horizon cannot exceed some maximum value. In the B&P framework, the master problem is stated as a set covering‐type problem whose columns are generated iteratively by solving one of three different subproblems. The first is an implicit model, the second is a resource constrained shortest path problem, and the third is a dynamic program. Computational experiments using both real‐word and randomly generated data show that workforce reductions up to 66% are possible with highly flexible days‐on and days‐off patterns. When evaluating the performance of the three subproblems, it was found that each yielded equivalent solutions but the dynamic program proved to be significantly more efficient. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 678–701, 2013