基于卷积神经网络的卫星网络协调态势评估方法

为充分发掘利用海量卫星网络数据,提高决策效率,加强空间频轨资源获取与储备的分析手段,尤其是对地球静止轨道资源的协调获取问题,提出基于机器学习算法的卫星网络态势评估策略。通过对卫星网络协调因素进行特征分析,选择卷积神经网络(Convolution Neural Network, CNN)为目标算法模型,并建立算法模型的训练数据集及Label规则,采用分裂信息增益度量方法对数据进行降维处理,建立CNN评估模型,并进行了验证分析。结果表明,CNN模型对卫星网络协调态势评估问题测试的正确率高达80%以上,具有较高的评估效能。随着数据量的增多,CNN评估效果逐步提升,是一种在卫星网络协调态势分析、资源储备的有效评估方法。     

边防毗邻省区跨域协同警务战略研究

在非传统安全威胁不断增多的情况下，公安边防部队维护边疆社会治安和政治大局稳定的职能作用更加凸现。针对公安边防部队点多、线长、面广的特点和毗邻省区结合部管理防范相对薄弱的实际，研究探索新形势下加强毗邻跨域警务协同、联手固边的工作机制，形成无缝链接——“全国边防一盘棋”的整体战略，全面提升公安边防部队战斗力，具有极其重要的现实意义。     

Single‐warehouse multi‐retailer inventory systems with full truckload shipments

We consider a multi‐stage inventory system composed of a single warehouse that receives a single product from a single supplier and replenishes the inventory of n retailers through direct shipments. Fixed costs are incurred for each truck dispatched and all trucks have the same capacity limit. Costs are stationary, or more generally monotone as in Lippman (Management Sci 16, 1969, 118–138). Demands for the n retailers over a planning horizon of T periods are given. The objective is to find the shipment quantities over the planning horizon to satisfy all demands at minimum system‐wide inventory and transportation costs without backlogging. Using the structural properties of optimal solutions, we develop (1) an O(T²) algorithm for the single‐stage dynamic lot sizing problem; (2) an O(T³) algorithm for the case of a single‐warehouse single‐retailer system; and (3) a nested shortest‐path algorithm for the single‐warehouse multi‐retailer problem that runs in polynomial time for a given number of retailers. To overcome the computational burden when the number of retailers is large, we propose aggregated and disaggregated Lagrangian decomposition methods that make use of the structural properties and the efficient single‐stage algorithm. Computational experiments show the effectiveness of these algorithms and the gains associated with coordinated versus decentralized systems. Finally, we show that the decentralized solution is asymptotically optimal. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 2009     

基于协作负载的指挥关系描述与设计

在分布的网络环境下,战场的快速反应需要在分布作战单元间建立一种指挥关系自同步的机制,以实现对战场作战力量的快速构建与重组.在这一指导思想下,基于文献中关于协作与负载的定义,给出了基于协作与负载的指挥关系描述,提出了基于协作与负载的指挥关系设计内容与目标.     

Challenges of institutional coordination in complex defense acquisition programs: the case of the Republic of Korea’s F-X program

Decision-making in defense acquisition programs in the Republic of Korea (ROK) has been problematic, especially in highly advanced complex systems. The highly disputed force modernization program for the ROK Air Force’s fifth-generation fighter, dubbed the Fighter eXperiment, went through extreme turbulence during the type selection phase. The gist of the turbulence became evident through poor institutional coordination within the defense acquisition authorities that eventually forced them to rescind the decision generated from their own yearlong efforts, thus basically shooting themselves on the foot. The paper highlights the background of the program and reviews the institutional elements that influenced the decision-making process, and conclude that the absence of an effective coordination mechanism has made decision-making in complex defense programs even more troublesome.     

Command Coordination and Tactical Effectiveness in Counter-insurgency Operations: Lessons from the South Korean Campaign

This article analyzes the causes of combat effectiveness of the South Korean security forces through the course of its various counter-insurgency (COIN) operations from 1948 to 1953. We argue that improvements in two interrelated aspects ultimately resulted in higher operational and tactical level performance: unified operational command structure and the subsequent improvements in tactical efficiency under the guidance of the US advisory mission. Through an in-depth case study on how a nascent army improved its capacity in combating homegrown insurgencies, we demonstrate how the actual conduct of operations itself remains just as significant in the assessment of overall COIN outcomes.     

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。