分布交互仿真技术在作战理论研究中的应用

介绍了分布交互仿真技术的发展现状,对应用分布交互仿真技术进行作战理论研究的问题进行了探讨。     

Polymer composite for antistatic application in aerospace

The phenomenon of static electricity is unpredictable, particularly when an aircraft flying at high altitude that causes the accumulation of static charges beyond a threshold value leading to the failure of its parts and systems including severe explosion and radio communication failure. The accumulation of static charges on aircraft is generated by the virtue of interaction between the outer surface of aircraft and the external environmental attributes encompasses air particles, ice, hail, dust, volcanic ash in addition to its triboelectric charging. In the recent years, advanced polymer-based composites or nanocomposites are preferred structural constituents for aircrafts due to their light weight and comparable mechanical properties, but such composite systems do not render low impedance path for charge flow and are subsequently vulnerable to effect of lightning strike and precipitation static. In this context, it is essential to develop conductive composite systems from non-conductive polymer matrix by nanofiller embodiments. The advent of carbon-based nanocomposite/nanomaterials have adequately addressed such issues related to the nonconductive polymer matrix and further turned into an avant-garde genre of materials. The current review envisioned to illustrate the detailed exploitation of various polymer nanocomposites in addition to especially mentioned epoxy composites based on carbon fillers like carbon black, carbon nanotube (single walled carbon nanotube and multi walled carbon nanotube) and graphene the development of antistatic application in aircraft in addition to the static charge phenomenon and condition for its prevalence in avionic systems.     

消防培训专用模拟灭火器的开发设想和应用

提出“压缩气雾剂式消防培训专用模拟灭火器”的开发设想 ,并给出实际应用 ,旨在提高各企业单位员工扑救初期火灾的动手能力 ,减少火灾人员伤亡和财产损失。     

信息融合体系结构评述

简要描述了信息融合体系结构的概念、作用及现状,列举了部分体系结构模型,介绍了美国DoD体系结构技术发展和几类商用技术,并针对信息融合框架密切相关的技术,详述了IPv6、中间件CORBA和DCOM、本体论与语义Web等关键技术,指出未来分布式信息融合体系结构(DIFA)的发展应立足于现有流行技术和网络技术,构建具有工程意义的体系结构。     

Disruption management in production planning

We study the problem of recovering a production plan after a disruption, where the disruption may be caused by incidents such as power failure, market change, machine breakdown, supply shortage, worker no‐show, and others. The new recovery plan we seek after has to not only suit the changed environment brought about by the disruption, but also be close to the initial plan so as not to cause too much customer unsatisfaction or inconvenience for current‐stage and downstream operations. For the general‐cost case, we propose a dynamic programming method for the problem. For the convex‐cost case, a general problem which involves both cost and demand disruptions can be solved by considering the cost disruption first and then the demand disruption. We find that a pure demand disruption is easy to handle; and for a pure cost disruption, we propose a greedy method which is provably efficient. Our computational studies also reveal insights that will be helpful to managing disruptions in production planning. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.     

The dynamic and stochastic knapsack Problem with homogeneous‐sized items and postponement options

This article generalizes the dynamic and stochastic knapsack problem by allowing the decision‐maker to postpone the accept/reject decision for an item and maintain a queue of waiting items to be considered later. Postponed decisions are penalized with delay costs, while idle capacity incurs a holding cost. This generalization addresses applications where requests of scarce resources can be delayed, for example, dispatching in logistics and allocation of funding to investments. We model the problem as a Markov decision process and analyze it through dynamic programming. We show that the optimal policy with homogeneous‐sized items possesses a bithreshold structure, despite the high dimensionality of the decision space. Finally, the value (or price) of postponement is illustrated through numerical examples. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 267–292, 2015