一体化联合作战指挥决策节点提前工作时间研究

分布式联合决策可缩短系统决策时间,提高决策质量.运用分布式联合决策,其关键点之一是确定各流程节点的工作开始时刻.依据影响分布式联合决策各节点开始工作时刻的主要因素是上下节点间传递的信息的特点,引入了信息熵的概念,通过一定的阈值来确立分布式联合决策系统中各节点的开始决策时刻.利用Bernstein多项式建立了分布式联合决策开始时刻数学模型,给出了求解该数学模型的方法,指出了该模型应用于实践的思路.     

混沌信号脉冲同步技术在雷达中的应用

依据混沌系统的脉冲同步特性,结合数字信号处理技术,可以得到原发射信号的时间延迟信号与变时间尺度信号.据此提出脉冲同步技术在混沌雷达系统中的应用方案,给出连续混沌信号雷达的结构框架.仿真实例以Colpitts电路产生的混沌信号为雷达发射信号,验证了基于脉冲同步的混沌信号时延与变时间尺度技术应用于混沌雷达的可行性.混沌雷达系统中的信号处理部分以宽带互模糊函数为工具,根据宽带模糊函数的定义给出了混沌信号雷达信号处理部分的详细框图.     

飞航导弹齐射发射时间的一种快速规划算法

多发飞航导弹齐射时,各发导弹之间存在碰撞或者相互干扰的可能,为了保证导弹飞行安全,需要对各发导弹的飞行管道进行分析,以此规划各发导弹发射时间.为此在对飞航导弹初段航迹分析的基础上,建立了一种发射时间的快速规划算法,实现了以较小的计算量规划发射时间,并且通过仿真计算证实了该算法是正确的.     

基于程序状态变迁的ASLR机制脆弱性分析方法

地址随机化ASLR是一种针对控制流劫持漏洞的防御机制。已有的漏洞自动分析与利用技术缺少对地址随机化机制影响的分析,导致生成的测试用例在实际环境中的运行效果受到极大限制。针对地址随机化的缺陷及其绕过技术的特点,本文提出了一种地址随机化脆弱性分析方法。该方法使用有限状态机描述程序运行路径中各关键节点的状态;针对常见的内存泄漏与控制流劫持场景建立约束条件;通过求解内存泄露状态约束与控制流劫持状态约束的兼容性,分析地址随机化机制在特定场景下的脆弱性。实验结果显示,该方法可有效检测通过内存泄漏导致的地址随机化绕过及控制流劫持攻击,实现自动化的地址随机化脆弱性分析,提高针对软件安全性分析的效率。     

海水电场受物体电导率及其形状影响分析

海水中电场测量体会对目标电场产生影响,为了提高电场测量的准确度,利用有限元分析的方法研究了物体对海水电场分布的影响因素,并确定畸变电场的分布规律。仿真结果表明:海水电场畸变峰值大小及其畸变区域受物体的电导率及其形状影响,物体电导率小于或大于海水电导率时对电场分布的影响截然相反,物体形状的曲率越大,电场畸变的峰值越大,但畸变区域越小。     

Numerical simulation of dynamic large deformation and fracture damage for solid armature in electromagnetic railgun

The design of solid armature of railgun should take full account of its operating conditions and material properties because the armature is subjected to dynamic loading conditions and experiences a complicated electrical, thermal and mechanical process in the interior ballistic cycle. In this paper present, we first introduced a multi-physical field model of railgun, followed by several examples to investigate the launching process. Especially, we used the explicit finite element method, in which material nonlinearity and geometric nonlinearity were accounted, to investigate the deform behaviors of solid armature. The results show that the dynamic mechanical process of armature is dependent on the armature geometry, material and exciting electric current. By the numerical simulation, the understanding of the fracture mechanism of solid armature was deepened.     

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.     

Revenue management under randomly evolving economic conditions

We consider a dynamic pricing model in which the instantaneous rate of the demand arrival process is dependent on not only the current price charged by the concerned firm, but also the present state of the world. While reflecting the current economic condition, the state evolves in a Markovian fashion. This model represents the real‐life situation in which the sales season is relatively long compared to the fast pace at which the outside environment changes. We establish the value of being better informed on the state of the world. When reasonable monotonicity conditions are met, we show that better present economic conditions will lead to higher prices. Our computational study is partially calibrated with real data. It demonstrates that the benefit of heeding varying economic conditions is on par with the value of embracing randomness in the demand process. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 66:73–89,2019     

A note on optimal pricing for finite capacity queueing systems with multiple customer classes

This article investigates optimal static prices for a finite capacity queueing system serving customers from different classes. We first show that the original multi‐class formulation in which the price for each class is a decision variable can be reformulated as a single dimensional problem with the total load as the decision variable. Using this alternative formulation, we prove an upper bound for the optimal arrival rates for a fairly large class of queueing systems and provide sufficient conditions that ensure the existence of a unique optimal arrival rate vector. We show that these conditions hold for M/M/1/m and M/G/s/s systems and prove structural results on the relationships between the optimal arrival rates and system capacity. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

基于TDOA的双基无源定位方案

多站时差定位是一种较精确的定位方法,通过处理3个或3个以上测量站采集的信号到达时间来对辐射源定位.论述了多站时差无源定位的基本原理,提出了一种基于陆空平台相结合的TDOA(Time Difference Of Arrival)双基无源定位方案.主要论述了时差双基无源定位的基本原理,以及观测站与空中目标的同步、地面观测站的选择、误差校正等主要问题的实现方案,并给出了参与对目标视察定位的地面观测站的选择算法.此方案定位算法及定位精度仍在研究阶段.