基于无标度网络的防空反导系统构建

构建高效的防空反导系统是防空反导作战的基础。运用复杂网络理论,建立基于无标度网络防空反导系统模型,并将其统计特征同基于WS小世界网络的模型进行了比较,得出基于无标度网络的防空反导系统有更好鲁棒性和抗毁性,对网络化防空反导系统的构建有一定参考价值。     

Measuring defense conversion in Russian industry

This paper develops and implements a methodology for quantifying defense conversion in Russian manufacturing in the early 1990s. A two‐sector, three‐good model is employed to analyze the flows of resources from military to non‐military uses and applied to firm‐level survey data under alternative definitions of military production and the MIC. An aggregation framework is constructed to estimate the total quantity and change in Russian military production, the latter decomposed into intrafirm and intersectoral resource reallocation and overall industrial decline. Although there is evidence of substantial decline in military production, the data show little reallocation to productive civilian uses, neither within the MIC nor to other manufacturing sectors.     

基于复杂网络的装备保障力量体系构建研究

论文首先阐述了复杂网络的内涵及其特征参量,以此为基础,对装备保障力量体系进行规范化描述,提出了装备保障力量体系的构建算法,并进行了实例验证及灵敏度分析,对于信息化条件下装备保障力量体系转型建设具有一定的参考价值和指导意义．     

机房漏水检测与精确定位装置研究

机房漏水是危及精密信息设备长期稳定可靠运行的重大安全隐患。为了解决传统定位装置难以实现漏水点精确定位的问题,从传感电缆的检漏原理出发,利用分压补偿原理,通过STEP7软件编程,设计了一个结合自检、漏水检测和漏水定位3种功能的机房漏水检测与定位装置。在此基础上搭建了实验系统,经测试实验,结果表明短距离定位精度可以达到1．70％,从而证实了该装置检测的有效性和定位的精确性。     

基于改进CS的随机PRI雷达精确测速及杂波抑制算法

传统的脉冲多普勒雷达存在严重的测距测速模糊和盲区效应。考虑在正常脉冲重复间隔(PRI)上叠加一个随机扰动,并把PRI的随机变化巧妙转化为稀疏观测矩阵的受限等距性质,提出的基于压缩感知的随机脉冲重复间隔雷达为全相参动目标检测提供了一种新思路。针对其在实际应用中存在的粗糙损失和杂波干扰两个问题,分别提出了基于局部词典细化的精确测速算法和基于改进优化模型的杂波抑制方法。仿真实验结果表明该方案具有较高的测速精度和较强的杂波抑制性能。     

早期可靠性数据的统计分析及其应用

在大型复杂产品研制过程中,通过原理样机的各类试验所获得的早期可靠性数据对产品早期可靠性的评估及可靠性设计具有重要意义。文中利用顺序约束模型研究了早期可靠性数据的处理方法,并将早期可靠性数据评估结果应用于可靠性增长计划的制定,从而有效减短了可靠性增长试验的时间。最后,给出了一个实际例子,以说明上述方法的应用。     

高机动性能导弹大迎角测量方法研究

简要介绍了嵌入式大气数据传感系统的概念及技术。针对高速高机动性能导弹大迎角高马赫飞行的特点,提出应用嵌入式大气数据传感技术解决导弹大迎角测量问题,并结合导弹自身特点,给出了迎角测量原理和方法,这对于新型导弹的设计具有一定的借鉴意义。     

抗压防护服设计构想及应用展望

针对灭火和抢险救援过程中因建筑坍塌引发消防官兵伤亡的事故频频发生的现况,结合高压气体的受力、传力特点,提出了多级气囊缓冲式抗压防护服的设计构想;探讨了抗压防护服的材料选择和各主要部分的设计,分析了多级气囊缓冲式抗压防护服在实际灭火和抢险救援工作中得到运用的可能性,为灭火和抢险救援过程中消防人员的安全提供一定的保障。     

Bayesian strategies for dynamic pricing in e‐commerce

E‐commerce platforms afford retailers unprecedented visibility into customer purchase behavior and provide an environment in which prices can be updated quickly and cheaply in response to changing market conditions. This study investigates dynamic pricing strategies for maximizing revenue in an Internet retail channel by actively learning customers' demand response to price. A general methodology is proposed for dynamically pricing information goods, as well as other nonperishable products for which inventory levels are not an essential consideration in pricing. A Bayesian model of demand uncertainty involving the Dirichlet distribution or a mixture of such distributions as a prior captures a wide range of beliefs about customer demand. We provide both analytic formulas and efficient approximation methods for updating these prior distributions after sales data have been observed. We then investigate several strategies for sequential pricing based on index functions that consider both the potential revenue and the information value of selecting prices. These strategies require a manageable amount of computation, are robust to many types of prior misspecification, and yield high revenues compared to static pricing and passive learning approaches. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

高炮武器系统虚拟射击试验方法

首先介绍了高炮武器系统对空射击精度试验现状,针对传统试验方法存在的成本高昂、组织繁琐、试验周期长等不足,提出了一种基于抽样的虚拟射击试验方法,介绍了虚拟射击试验原理,给出了虚拟射击试验系统结构图,重点讨论了各系统的主要功能,最后给出了虚拟射击试验的数据流分析、组织实施流程和验证思路。