Models of sensor operations for border surveillance

This article is motivated by the diverse array of border threats, ranging from terrorists to arms dealers and human traffickers. We consider a moving sensor that patrols a certain section of a border with the objective to detect infiltrators who attempt to penetrate that section. Infiltrators arrive according to a Poisson process along the border with a specified distribution of arrival location, and disappear a random amount of time after their arrival. The measures of effectiveness are the target (infiltrator) detection rate and the time elapsed from target arrival to target detection. We study two types of sensor trajectories that have constant endpoints, are periodic, and maintain constant speed: (1) a sensor that jumps instantaneously from the endpoint back to the starting‐point, and (2) a sensor that moves continuously back and forth. The controlled parameters (decision variables) are the starting and end points of the patrolled sector and the velocity of the sensor. General properties of these trajectories are investigated. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

炮兵群自动化指挥系统决策组织结构的 Petri 网建模与性能分析

对炮兵自动化指挥系统中决策组织的结构和能力进行了研究,建立了较为完善的各级指挥员指挥决策体系的Ｐｅｔｒｉ网模型。通过有色Ｐｅｔｒｉ网对群一级的炮兵自动化指挥系统在不同任务环境下的不同工作方式进行了建模表示和分析,引入了决策时延这一反应指挥决策体系能力的重要性能指标,并进一步运用马尔科夫链的分析方法对建立的指挥决策体系的Ｐｅｔｒｉ网模型进行定量分析,得出了量化结果,为自动化指挥系统中决策组织结构的设计和分析提供了理论根据。     

Petri网在防空C~3I系统建模与分析中的应用

针对野战防空系统中的火力分配问题,首先为旅营两级防空系统建立了Ｐｅｔｒｉ网模型,并运用时间Ｐｅｔｒｉ网理论对其进行了时延分析,论述了为野战防空火力分配建立辅助决策系统的重要性。最后利用谓词Ｐｅｔｒｉ网描述了火力分配的推理过程,为有效分析战术决策的正确性提供了依据和思路     

自组织特性图形的检测理论与应用

人工神经网络模型已研究多年,已使得在信息处理领域中具有类似人的性能,本文将Ｋｏｈｏｎｅｎ自组织特征映射的学习规则进行了修改,以降低拓扑邻域边界上的模糊性,而后,用它的联想存贮功能可以实现输入统计过程的特征存贮,以达到检测的目的。本文也讨论了多维检测的数学机理,作为它的一个结果,可以得出高精度的检测性能。     

模糊随机过程的可分性与可测性

本文证明了一个模糊随机过程{_t(ω)t∈T}必存在一个与之等价的可分模糊随机过程{_t(ω)t∈T};且若模糊随机过程{_t(ω)t∈T}随机连续,则它存在等价的,可分且可测的模糊随机过程{■_t(ω)t∈T}。     

物体识别不变性方法比较分析(Ⅲ)——神经网络方法

文献[1]和[2]中分别讨论了物体识别不变性方法——统计方法和解析方法。本文将讨论另一种方法——神经网络方法。     

误差随机过程的一种数据预处理方法

在数据连续采集过程中,误差是一个随机的过程,有的误差数据出现“失真”,本文结合指挥仪综合检测中动态误差情况,提出一种平稳误差过程和非平稳误差过程的数据预处理方法。     

网络语言研究

随着互联网的发展和普及 ,一种全新的言说方式———网络语言———应运而生。对于这一特殊的语言现象 ,有人批评 ,有人倡导。对于网络语言的发展我们既不能草木皆兵 ,又不能放任不管 ,应该宽容对待 ,积极引导。对网络语言进行规范 ,目前没有必要 ,也不可行。在当前情况下 ,使用网络语言应着重注意四个方面的问题。     

基于对象petri网的雷达组网系统应用效能研究

建立了复杂环境下雷达网防空作战系统OPDL模型,并嵌入相关的数学模型,对雷达网在防空作战中的应用效能进行了仿真分析,给出了定量的分析结论。研究表明,雷达组网技术的运用有效提高了防空武器系统的作战能力,为深入分析研究雷达网的作战效能奠定了基础。     

The (s,Q) inventory model with Erlang lead time and deterministic demand

We develop a simple, approximately optimal solution to a model with Erlang lead time and deterministic demand. The method is robust to misspecification of the lead time and has good accuracy. We compare our approximate solution to the optimal for the case where we have prior information on the lead‐time distribution, and another where we have no information, except for computer‐generated sample data. It turns out that our solution is as easy as the EOQ's, with an accuracy rate of 99.41% when prior information on the lead‐time distribution is available and 97.54–99.09% when only computer‐generated sample information is available. Apart from supplying the inventory practitioner with an easy heuristic, we gain insights into the efficacy of stochastic lead time models and how these could be used to find the cost and a near‐optimal policy for the general model, where both demand rate and lead time are stochastic. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004