面向任务指控系统时延分析模型及其改进

面向任务指挥控制系统是为了完成一个或多个作战任务,而将现有的相关指控系统互联互通形成网络,各种作战信息可以在网络中传输和共享的动态构建的系统.现代高技术战争模式下,时间延迟是评价面向任务的指挥控制系统构成的一项重要指标.通过指控节点的图模型,分析面向任务指控系统的结构及其中各种命令流、信息流的特点,采用网络信息熵来反映指控节点网络对信息的协调能力.通过研究和分析已有时延模型的缺点,并考虑实际应用的条件,对模型的惩罚函数进行了改进.     

部队作战效能综合评估法

高技术条件下局部战争的显著特点是参战单位多、对抗关系复杂、战争不确定因素增加,如何在此情况下客观评估部队的作战效能是作战研究领域一个重点和难点。通过综合运用定性分析法、网络分析法、战斗效能指数法、作战模拟及系统动力学等多种方法和理论,建立了一种可对部队作战效能进行评估的综合评估法。并以高技术条件下岛上进攻作战中装甲团的作战效能评估为例,详细介绍了该方法的实施过程,认为该综合评估法是行之有效的。     

CRF与规则相结合的军事命名实体识别研究

作战命令的分词是作战指令自动化生成、文图转换等各种指挥自动化技术的重要基础。在作战指令进行分词处理的过程中,军事命名实体的识别是技术难点之一。命名实体是信息的主要载体,它的识别是军事信息抽取的关键。提出了一种基于CRF模型与规则相结合的命名实体识别方法,结合基本特征与外部词典特征,提高了实体识别效率;在后期进行规则优化,最终实现高效的命名实体识别。实验证明,该方法是行之有效的。能够成功解决命名实体的自动识别问题。     

单一流空情生成模型仿真

根据单一流空情的特点,立足贴近实战的要求,分别建立了空袭批数模型、航路生成模型、批次序号模型、类别指数模型、任务指数模型、编队数目模型和干扰模型共7个模型,并且按人工给定航路的方法进行了单一流空情生成的仿真实验,验证了该模型与以往模型相比具有一定的进步性,对防空兵作战仿真系统的开发具有一定的参考价值。     

Workload distribution of discrete‐time parallel queues with two servers

We study discrete‐time, parallel queues with two identical servers. Customers arrive randomly at the system and join the queue with the shortest workload that is defined as the total service time required for the server to complete all the customers in the queue. The arrivals are assumed to follow a geometric distribution and the service times are assumed to have a general distribution. It is a no‐jockeying queue. The two‐dimensional state space is truncated into a banded array. The resulting modified queue is studied using the method of probability generating function (pgf) The workload distribution in steady state is obtained in form of pgf. A special case where the service time is a deterministic constant is further investigated. Numerical examples are illustrated. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 440–454, 2000     

局域网传输系统可用性分析

采用可用性概念 ,分析局域网络系统的工作情况 ,对系统的平均故障间隔时间、中断率等参数进行评估 ,为工程设计和系统维护提供参考依据     

B介子的稀有非轻子衰变和CP破坏

在BS理论框架下,求解了ρ和K*的波函数,计算了B→ρ和B→K*跃迁的形状因子,进而计算出B介子衰变到2个轻介子稀有过程的分支比和CP破坏量.     

信任函数理论在仿真评估中的应用

将信任函数理论应用到了仿真结果评估问题中,给出了总体仿真结果的信任函数和信念区间的计算方法。对仿真结果的真实性评估具有一定意义。这种思想和算法可推广应用到其它各种不确定性推理决策问题中去。     

Variable sampling plans for normal distribution indexed by Taguchi's loss function

Taguchi has presented an approach to quality improvement in which reduction of deviation from the target value is the guiding principle. In this approach any measured value x of a product characteristic X brings a loss to consumer in general, where the loss is expressed as a quadratic form with respect to the difference between the measured value x and the target value T of a product characteristic. Then, it is natural to reject the lot which may bring a large loss to consumer. This concept induces us to construct new variable sampling plans based on the Taguchi's loss criterion. In this article, a design procedure of the sampling plans for assuring the loss in the Taguchi's method is proposed. Some numerical results based on the proposed design procedures are illustrated. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 591–603 (1997)     

An integral equation for the second moment function of a geometric process and its numerical solution

In this article, an integral equation satisfied by the second moment function M₂(t) of a geometric process is obtained. The numerical method based on the trapezoidal integration rule proposed by Tang and Lam for the geometric function M(t) is adapted to solve this integral equation. To illustrate the numerical method, the first interarrival time is assumed to be one of four common lifetime distributions, namely, exponential, gamma, Weibull, and lognormal. In addition to this method, a power series expansion is derived using the integral equation for the second moment function M₂(t), when the first interarrival time has an exponential distribution.