A search game taking account of attributes of searching resources

This article deals with a two‐person zero‐sum game called a search allocation game (SAG), in which a searcher and a target participate as players. The searcher distributes his searching resources in a search space to detect the target. The effect of resources lasts a certain period of time and extends to some areas at a distance from the resources' dropped points. On the other hand, the target moves around in the search space to evade the searcher. In the history of search games, there has been little research covering the durability and reachability of searching resources. This article proposes two linear programming formulations to solve the SAG with durable and reachable resources, and at the same time provide an optimal strategy of distributing searching resources for the searcher and an optimal moving strategy for the target. Using examples, we will analyze the influences of two attributes of resources on optimal strategies. © 2007 Wiley Periodicals, Inc. Naval Research Logistics 2008     

一种高速实时数据采集处理系统设计

针对目前高速数据采集中的实时性和同步性问题,提出了一种高速实时数据采集处理设计方案。根据上述方案进行了系统的硬件和软件设计,该系统以FPGA器件作为下位机控制核心,设计了时钟同步、数据采集、数据处理、数据缓存、数据通讯等功能模块;整个系统采用ARM微处理器作为上位机控制核心,基于嵌入式Linux 2.6内核进行软件编程,负责向FPGA发送设置参数和控制指令,同时对数据前端采样和处理数据进行存储、显示、统计等。经测试验证,该方案具有高速率、高精度、同步测量、实时处理、体积小、功耗低等优点。     

Neighborhood search heuristics for selecting hierarchically well‐formulated subsets in polynomial regression

The importance of subset selection in multiple regression has been recognized for more than 40 years and, not surprisingly, a variety of exact and heuristic procedures have been proposed for choosing subsets of variables. In the case of polynomial regression, the subset selection problem is complicated by two issues: (1) the substantial growth in the number of candidate predictors, and (2) the desire to obtain hierarchically well‐formulated subsets that facilitate proper interpretation of the regression parameter estimates. The first of these issues creates the need for heuristic methods that can provide solutions in reasonable computation time; whereas the second requires innovative neighborhood search approaches that accommodate the hierarchical constraints. We developed tabu search and variable neighborhood search heuristics for subset selection in polynomial regression. These heuristics are applied to a classic data set from the literature and, subsequently, evaluated in a simulation study using synthetic data sets. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

一类反向混合单调算子方程组解的存在惟一性

运用锥与半序理论和非对称迭代方法,讨论半序Banach空间一类反向混合单调算子方程组解的存在惟一性,并给出了迭代序列收敛于解的误差估计,同时推广讨论了非反向混合单调算子方程组解的存在惟一性.所得结果改进和推广了混合单调算子方程某些已知的结果.     

浅谈武警院校教学改革中互动式教学法的应用

互动式教学是武警院校教育改革中倡导的一种新型的教学模式，要正确应用互动式教学模式，就要注重互动双方的定位、互动问题的选取、互动方法的选择。     

某飞行仿真系统虚拟教员软件研究

针对训练基地飞行模拟改装训练的特点和需求,提出了一种智能评分和虚拟教员实时提示方法。根据训练大纲建立模拟飞行课目专家库,建立分阶段优化评估模型,对不同阶段的关键评价指标进行综合评分,同时依据专家库和模拟飞行参数实时对飞行学员的操作提出虚拟建议,以文字和声音的方式发送给飞行员,最后给出评分结果。虚拟教员能对模拟训练进行实时干预、指导,方便学员进行自主训练,受到训练基地飞行员尤其是新训改装飞行员的广泛欢迎。     

一种抗干扰能力强的过载实时监控系统

为了实时监控运输车辆在道路行驶中产生振动的情况,研制了一套过载实时监控系统。本文论述了系统的工作原理和设计特点,详细给出了系统的硬件组成和软件流程圈。该系统用于亚洲一号卫星以及两颗“澳星”的密封容器运输车过载的实时监控,结果表明,系统均达到了预期的设计要求,具有工作稳定可靠,抗干扰能力强等特点。     

Cρ 准则下选择最优子集的并行算法

C_p准则是目前颇受重视的一种变量选择准则。本文针对大型线性回归模型,推导了从所有可能子集中用C_p准则选择最优子集的(乘除法) 运算次数,提出了C_p准则下变量选择的并行算法。给出了在YH-1和YH-2向量巨型计算机上运行该算法的模拟结果且获得了15倍左右的向量加速比s/v,体现了该算法的优越性。     

对称矩阵性态数的并行计算

本文针对对称矩阵A建立起性态数的并行计算公式,并通过数值试验得到了矩阵性态数变化对方程组Ax=b的解的误差影响,同时进行了向量和标量计算,计算结果表明:当x大于等于300时,向量计算速度比标量计算速度快17倍。     

角速率火控系统倾斜修正问题的研究

倾斜修正是角速率火控系统研究、设计和生产中的一个重要课题。本文首先明确了几个基本概念,然后给出倾斜修正的计算方案,最后,应用四元数理论解决计算方案的工程实现问题。