基于BPAF判决的决策层目标属性融合研究

在D-S证据理论框架下,研究了基于目标基本概率赋值(BPAF)判决的决策层目标属性融合问题。简要介绍了D-S证据组合理论框架,阐述了基于BPAF判决的决策层目标属性融合策略、步骤;分析了证据严重冲突时,Dempster证据组合规则不合理的本质原因;提出必须对D-S证据组合规则进行改善等需要继续深入探讨的几个问题。     

C2组织效能测度的设计与应用

采用自底向上逐层递进的方法对C 2组织的测度指标加以归纳总结,建立了物理层,状态层和效能层3层测度指标框架,把C 2组织的效能测度抽象为组织代价测度和组织收益测度两个评价性的指标,并给出具体的计算方法。再结合探索性分析方法,实现了C 2组织效能测度在不确定使命环境下对关键性任务判断的应用,验证了C 2组织效能测度的有效性。     

球磨时间对纳米SiO_2/Cu复合材料摩擦学性能的影响

采用球磨法与热压烧结工艺制备了添加w（n-SiO2）=1.0%的铜基纳米复合材料。通过球盘式摩擦磨损试验机测试了复合材料的摩擦磨损性能,采用排水法和场发射扫描电镜（FSEM）研究了复合材料的致密度、显微组织和磨损形貌。结果表明：球磨可提高复合材料的致密度,改善n-SiO2在铜基体中的分散均匀性;随球磨时间的增加,复合材料的动摩擦因数和磨损量先减小后增加,球磨10 h复合材料具有较低的摩擦因数和磨损量,磨损机理主要为磨料磨损。     

陕西蒲城Q_2黄土物质组成试验研究

利用激光散射粒度分布分析仪、X射线衍射仪等先进的测试手段和化学成分分析,得到了陕西蒲城Q2黄土的物质组成特点,包括颗粒组成、矿物成分、化学成分、易溶盐含量、酸碱特性等,并指出与Q3黄土的差异。为深入研究Q2黄土的湿陷机理和工程地质特性以及解释与Q3黄土工程性质的差异提供科学依据。     

军用物联网研究综述

物联网是近两年的研究热点,当前,军用物联网的发展尚处于起步阶段。提出了军用物联网的概念,研究了军用物联网关键技术,阐述了军用物联网在作战训练、后勤保障、武器装备等领域的应用,展望了军用物联网研究工作中将遇到的挑战及应对方法,为军用物联网的技术研制、公共支撑环境和应用示范服务提供借鉴。     

基于B/S的开放式基础实验教学系统设计

采用B/S模式和ASP技术,对基础实验教学系统进行了全新的设计,这种设计对强化基础实验教学的效果与质量将起到积极和有益的作用。     

Preparation and characterization of HMX/EVA/hBNNSs micro-composites with improved thermal stability and reduced sensitivity

Hexagonal boron nitride nanosheets(HBNNSs)have huge potential in the field of coating materials owing to their remarkable chemical stability,mechanical strength and thermal conductivity.Thin-layer hBNNSs were obtained by a liquid-phase exfoliation of h-BN powders and incorporated into EVA coatings for improving the safety performance of 1,3,5,7-tetranitro-1,3,5,7-tetrazocane(HMX).HBNNSs and ethylene-vinyl acetate copolymer(EVA)were introduced to HMX by a solvent-slurry process.For com-parison,the HMX/EVA and HMX/EVA/graphene(HMX/EVA/G)composites were also prepared by a similar process.The morphology,crystal form,surface element distribution,thermal decomposition property and impact sensitivity of HMX/EVA/hBNNSs composites were contrastively investigated.Results showed that as prepared HMX/EVA/hBNNSs composites were well coated with hBNNSs and EVA,and exhibited better thermal stability and lower impact sensitivity than that of HMX/EVA and HMX/EVA/G composites,suggesting superior performance of desensitization of hBNNSs in explosives.     

Markovian approximation for manufacturing systems of unreliable machines in tandem

This paper studies production planning of manufacturing systems of unreliable machines in tandem. The manufacturing system considered here produces one type of product. The demand is assumed to be a Poisson process and the processing time for one unit of product in each machine is exponentially distributed. A broken machine is subject to a sequence of repairing processes. The up time and the repairing time in each phase are assumed to be exponentially distributed. We study the manufacturing system by considering each machine as an individual system with stochastic supply and demand. The Markov Modulated Poisson Process (MMPP) is applied to model the process of supply. Numerical examples are given to demonstrate the accuracy of the proposed method. We employ (s, S) policy as production control. Fast algorithms are presented to solve the average running costs of the machine system for a given (s, S) policy and hence the approximated optimal (s, S) policy. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 65–78, 2001     

分布式A2C2决策队设计

现代战争的特点是高度的分布式协同作战。面对瞬息万变的战场需求 ,完成分布协同作战的指挥自动化系统 ,就必须能够自动适应战场需求变化 ,不断改变指挥系统组织结构。因此 ,实现指挥自动化系统的中心工作是建立 C2系统自适应变结构决策队组织。论述了建立自适应分布式指挥决策组织结构的有关问题 ,研究了在分布式条件下 ,自适应 C2决策队结构的设计。     

Exact analysis of (R,s, S) inventory control systems with lost sales and zero lead time

We study an (R, s, S) inventory control policy with stochastic demand, lost sales, zero lead‐time and a target service level to be satisfied. The system is modeled as a discrete time Markov chain for which we present a novel approach to derive exact closed‐form solutions for the limiting distribution of the on‐hand inventory level at the end of a review period, given the reorder level (s) and order‐up‐to level (S). We then establish a relationship between the limiting distributions for adjacent values of the reorder point that is used in an efficient recursive algorithm to determine the optimal parameter values of the (R, s, S) replenishment policy. The algorithm is easy to implement and entails less effort than solving the steady‐state equations for the corresponding Markov model. Point‐of‐use hospital inventory systems share the essential characteristics of the inventory system we model, and a case study using real data from such a system shows that with our approach, optimal policies with significant savings in inventory management effort are easily obtained for a large family of items.