雷达至指挥仪基线误差修正

综合诸元是指挥仪解算精度较高的一种工作方式,但存在一个雷达至指挥仪间的基线误差,本文对这个误差进行分析,并提出了修正的方法。     

惯性组合误差标定中边界条件的确定和数据处理方法

利用弹道导弹速率捷联惯性测量组合的数学模型, 研究了惯性组合误差标定中的边界条件确定的方法,给出了标定后数据处理的关键程序代码, 可用于对惯性组合工具误差的补偿。     

"M/M/1"在单火力单元射击多目标火力分配中的应用

在单服务台排队系统理论的基础上,建立了单火力单元对多个目标射击的系统仿真模型,对此模型进行了分析,给出了模型的适用范围,并通过在计算机上仿真运行实例,验证了该仿真模型的正确性.该方法是一种有益的尝试与探索,对局部作战指挥决策有一定的参考价值.     

坦克分队快速机动协同控制系统构想

作为一体化联合作战体系中重要的陆基栅格节点,坦克分队的快速机动能力对于顺利完成机动突击任务具有重要影响,而坦克分队的机动协同控制则是实现分队快速机动的关键。首先提出一种坦克分队协同控制系统架构,然后对该架构的组成及关键技术进行了探讨和分析,期望有助于提升新型坦克分队的快速机动能力。     

汇编语言的单元测试技术研究

汇编语言具有非结构化、非标准化、硬件相关性高、灵活性极大等特性,单元测试难度较大.针对汇编语言的特点,论述了汇编语言单元测试过程中功能测试、结构覆盖率测试和性能测试的方法和步骤.     

Irreducibility of joint inventory positions in an assemble‐to‐order system under (r,nQ) policies

In a typical assemble‐to‐order system, a customer order may request multiple items, and the order may not be filled if any of the requested items are out of stock. A key customer service measure when unfilled orders are backordered is the order‐based backorder level. To evaluate this crucial performance measure, a fundamental question is whether the stationary joint inventory positions follow an independent and uniform distribution. In this context, this is equivalent to the irreducibility of the Markov chain formed by the joint inventory positions. This article presents a necessary and sufficient condition for the irreducibility of such a Markov chain through a set of simultaneous Diophantine equations. This result also leads to sufficient conditions that are more general than those in the published reports. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

模块化油料装备单元新型连接接头设计

模块化油料装备具有运用方式灵活、功能模块扩展能力强的优点,既能使油料装备的保障能力显著增强,又方便设计、制造、使用和维修,但各模块单元之间不易实现干式快速连接与分离。为实现油料装备模块单元快速连接、拆卸且无油料漏出,创新设计一种干式快速自封连接接头。该接头用于油料装备模块单元连接时,管路系统能自动接通;各模块单元分离时,管路系统能自动封闭,使各模块单元或组合体形成一个密封体,始终无漏油现象。该干式快速自封连接接头用于模块单元连接或分离,具有简便、快捷且无油料渗出等特点。     

Appointment scheduling at a multidisciplinary outpatient clinic using stochastic programming

The purpose of this paper is to investigate the problem of constructing an appointment template for scheduling patients at a specific type of multidisciplinary outpatient clinic called an integrated practice unit (IPU). The focus is on developing and solving a stochastic optimization model for a back pain IPU in the face of random arrivals, an uncertain patient mix, and variable service times. The deterministic version of the problem is modeled as a mixed integer program with the objective of minimizing a weighted combination of clinic closing time (duration) and total patient waiting time (length of stay). A two‐stage stochastic program is then derived to account for the randomness and the sequential nature of the decisions. Although it was not possible to solve the two‐stage problem for even a limited number of scenarios, the wait‐and‐see (WS) problem was sufficiently tractable to provide a lower bound on the stochastic solution. The introduction of valid inequalities, limiting indices, and the use of special ordered sets helped to speed up the computations. A greedy heuristic was also developed to obtain solutions much more quickly. Out of practical considerations, it was necessary to develop appointment templates with time slots at fixed intervals, which are not available from the WS solution. The first to be derived was the expected value (EV) template that is used to find the expected value of the EV solution (EEV). This solution provides an upper bound on the objective function value of the two‐stage stochastic program. The average gap between the EEV and WS solutions was 18%. Results from extensive computational testing are presented for the EV template and for our adaptation of three other templates found in the literature. Depending on the relative importance of the two objective function metrics, the results demonstrate the trade‐off that exists between them. For the templates investigated, the “closing time” ranged from an average of 235 to 275 minutes for a 300‐minute session, while the corresponding “total patient time in clinic” ranged from 80 to 71 minutes.     

应用多GPU的可压缩湍流并行计算

利用CUDA Fortran语言发展了基于图形处理器(GPU)的计算流体力学可压缩湍流求解器。该求解器基于结构网格有限体积法,空间离散采用AUSMPW+格式,湍流模型为k-ωSST两方程模型,采用MPI实现并行计算。针对最新的GPU架构,讨论了通量计算的优化方法及GPU计算与PCIe数据传输、MPI通信重叠的多GPU并行算法。进行了超声速进气道及空天飞机等算例的数值模拟以验证GPU在大网格量情况下的加速性能。计算结果表明:相对于Intel Xeon E5-2670 CPU单一核心的计算时间,单块NVIDIA GTX Titan Black GPU可获得107~125倍的加速比。利用四块GPU实现了复杂外形1.34亿网格的快速计算,并行效率为91.6%。     

步兵分队侦察模拟训练系统构建

针对步兵分队侦察训练存在地形受限、战斗情境失真、训练条件构设难等问题,本文在系统分析军事需求的基础上,采用软、硬结合的虚拟仿真技术对步兵分队侦察模拟训练系统框架、体系结构、物理结构、内外接口和应用模式进行了详细分析设计,并对关键技术进行了剖析,该系统方案设计已应用于步兵分队侦察模拟训练系统建设,并投入到院校教学训练中。实践表明,系统通过逼真的视、听一体化实现了高度沉浸式的训练,以现实地形和敌情的高度仿真与灵活组合,满足了步兵分队侦察技能训练对多样化战场环境、实战化目标设置的特殊要求,大大提升了步兵分队地形侦察、敌情侦察及综合对抗训练效益。