基于复杂网络的机群作战建模与仿真

机群作战已成为战争中的主要作战形式之一。而传统的作战模型,已经不适应其多任务驱动、多机种协作的机群作战特性。为此,以复杂网络为基础,提出了一种构造不同类型的节点连接的动态生成算法,构建了反映真实作战场景的网络描述模型,较好地呈现出了机群作战中的涌现性、模糊性等诸多性质。并提出了描述机群作战网络的统计特征量,通过破击仿真实验,得出了与战争事实相符合的结论,为未来研究机群作战体系效能评估打下了基础。     

“一体化联合作战”的概念辨析

利用形式逻辑与语言学知识,分析了"一体化联合作战"这一术语组合存在的问题,对"一体化联合作战"和"一体化作战"2术语及概念进行了辨析,澄清了2术语及概念使用中的模糊性.得出了准确把握概念本质必须结合时代特点的基本结论.     

空战模型研究

本文论述了空战一般作战模式厦空战构模特点,并具体构造了一个集团军作战规模的训练用空战模型。利用该模型对不同空战编队的作战效果进行了计算,其结果可用干战术分析。     

论化学灾害事故社会救援中的协同作战

针对化学灾害事故社会救援中协同作战问题,论述统一意图下的协同作战思想、协同救援联合体的构建、协同作战任务的确定、作战中的协同和协同中的指挥方式.     

警务实战行动中的“危险评估”刍议

警务实战行动情况错综复杂，充满突变性，极具危险性，警察执法危险系数呈上升趋势。如何对警务实战行动中所面临的危险进行及时、准确、全面、客观的评估，从而提高其成功率和效率，是每个参战警察必须具备的执法能力。     

论当今国际维和行动发展和趋势

本文从当今国际维和行动现状出发,分析了国际维和行动的特点,剖析了国际维和行动面临的挑战问题,最后对国际维和行动的发展提出几点思考,并系统阐述了维和行动的相关问题。     

Stochastic call center staffing with uncertain arrival,service and abandonment rates: A Bayesian perspective

In this article, we introduce staffing strategies for the Erlang‐A queuing system in call center operations with uncertain arrival, service, and abandonment rates. In doing so, we model the system rates using gamma distributions that create randomness in operating characteristics used in the optimization formulation. We divide the day into discrete time intervals where a simulation based stochastic programming method is used to determine staffing levels. More specifically, we develop a model to select the optimal number of agents required for a given time interval by minimizing an expected cost function, which consists of agent and abandonment (opportunity) costs, while considering the service quality requirements such as the delay probability. The objective function as well as the constraints in our formulation are random variables. The novelty of our approach is to introduce a solution method for the staffing of an operation where all three system rates (arrival, service, and abandonment) are random variables. We illustrate the use of the proposed model using both real and simulated call center data. In addition, we provide solution comparisons across different formulations, consider a dynamic extension, and discuss sensitivity implications of changing constraint upper bounds as well as prior hyper‐parameters. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 460–478, 2016     

多业务接入平台及其在军事通信中的应用

文中介绍了军用通信网接入层的组建原则,通过比较目前几种不同的接入技术,说明了多业务接入平台(MSAP)的技术特点和优势,提出了以MSAP作为军用通信网接入层的解决方案,并给出了采用MSAP组网的网络示意图。最后采用CPU+ASIC+FPGA这种典型的通信系统硬件架构,分析了MSAP的软硬件联合实现。     

基于复杂网络的联合作战指挥体系研究

以作战指挥理论需求为牵引,从复杂网络的角度对联合作战指挥体系问题进行网络抽象,将指挥体系中的指挥机构作为网络的节点,将指挥关系作为网络的边,按照指挥体系历史发展的规律,从简单到复杂,分别构建了传统层级纵长树状型的指挥体系网络模型,在树状模型基础上,增加了横向联系但依然具有层级结构的信息共享改进型的指挥体系网络模型,以及...     

When the Going Gets Tough… Monitoring Missions and a Changing Conflict Environment in Sri Lanka, 2002–2008

This article analyzes how the conflict environment in which a civilian monitoring mission is deployed influences the monitors' assessment of the operation. It draws on unique empirical material from the experience of the Sri Lanka Monitoring Mission (SLMM), deployed to oversee a ceasefire agreement in Sri Lanka 2002–2008. With material from a survey and in-depth interviews, experiences of the monitors are analyzed and changes over time are traced in relation to the monitors' assessment of the mandate and organizational set-up of the mission. The study points to the difficulty of monitoring missions to address escalation during an ongoing peace process. Its function is dependent on the goodwill of the parties. In essence, monitoring missions have the potential to strengthen peace when there is momentum in favor of progress, but when relations between the parties turn sour and the conflict escalates a civilian monitoring mission basically loses its potential. During the final stages of the war, which saw a very large number of civilian casualties, the war-torn areas were closed to international observers. Moreover, international pressure for a short-term ceasefire to alleviate the humanitarian situation was dismissed by the Sri Lankan government, which also saw the backing of several important actors, not the least China.