基于熵权多目标决策的战时物资运输方案优选研究

提出了战时物资运输方案优选问题,分析战时运输的影响因素,提出了评估战时物资运输方案的较有代表性的指标,并给出了具体计算方法.在没有指标权重的情况下,应用熵权多目标决策方法对多个合理方案进行优选评估,得出了可信度较高的优选方案.     

基于粗集和最大熵的模式识别方法

用基于属性约简的粗集理论找出条件属性的最小属性集。对属性间为不确定因果关系的模式,计算在最大熵情况下发生的概率,通过比较概率来进行模式识别,实例分析和结论部分说明这种方法是有效的。     

基于小波包分解和样本熵的电磁干扰分析方法

为了定量分析不同状态下电磁环境的变化,并有效提取电磁环境变化的干扰特征,提出了基于小波包分解和样本熵的电磁干扰分析方法.首先,时电磁环境的样本信号进行小波包分解,然后分别计算分解后备频带信号的能量谱系数和样本熵,通过能量谱系数和样本熵这两个指标的对比,综合判断电磁环境是否发生变化.仿真分析表明:样本熵可以弥补能量谱系数...     

Predictability of operational processes over finite horizon

Operational processes are usually studied in terms of stochastic processes. The main information measure used for predictability of stochastic processes is the entropy rate, which is asymptotic conditional entropy, thus not suitable for application over a finite horizon. We use the conditional entropy to study the predictability of stochastic processes over the finite horizon. It is well‐known that the conditional entropies of stationary processes decrease as the processes evolve, implying that, on average, their pasts become more informative about prediction of their future outcomes. Some important operational processes such as martingale, models for maintenance policies, nonhomogeneous Poisson, and mixed Poisson processes are nonstationary. We show that as a nonstationary process evolves, it may provide more information or less information about the future state of the system. We develop results for comparing the predictability of stochastic processes. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

隐蔽锥扫雷达波束的交叉点电平

本文根据隐蔽锥扫雷达天线的工作原理,从方向性函数出发,分析了接收状态下高频馈电网络中,和差信号的幅相特性与隐蔽锥扫波束交叉点电平的关系,从而对不能自动跟踪的隐蔽锥扫雷达,从天馈系统方面分析了原因,并为设计和部队维修提供了理论根据和有效方法。     

隐身飞机RCS测量与成像方法研究综述

隐身飞机已逐步成为大国重器,并将持续发挥重要影响,隐身技术也已成为飞行器设计的关键技术。隐身飞机的雷达散射截面积(radar cross section, RCS)测量是设计、制造、维护隐身飞机的必要手段。从缩比模型的RCS测试、全尺寸飞机室外RCS测试、全尺寸飞机室内近场测试三个方面,回顾了隐身飞机RCS测量的基本流程,总结了隐身飞机RCS近场测量的理论基础,并着重对具有成像诊断功能的近场RCS测量技术进行了梳理与分析。对隐身飞机RCS测量的应用趋势和关键技术进行了总结与展望, 有利于对隐身飞机RCS测量形成总体性了解,并把握RCS测量的发展方向。     

3D laser scanning strategy based on cascaded deep neural network

A 3D laser scanning strategy based on cascaded deep neural network is proposed for the scanning system converted from 2D Lidar with a pitching motion device. The strategy is aimed at moving target detection and monitoring. Combining the device characteristics, the strategy first proposes a cascaded deep neural network, which inputs 2D point cloud, color image and pitching angle. The outputs are target distance and speed classification. And the cross-entropy loss function of network is modified by using focal loss and uniform distribution to improve the recognition accuracy. Then a pitching range and speed model are proposed to determine pitching motion parameters. Finally, the adaptive scanning is realized by integral separate speed PID. The experimental results show that the accuracies of the improved network target detection box, distance and speed classification are 90.17%, 96.87% and 96.97%, respectively. The average speed error of the improved PID is 0.4239°/s, and the average strategy execution time is 0.1521 s. The range and speed model can effectively reduce the collection of useless information and the deformation of the target point cloud. Conclusively, the experimental of overall scanning strategy show that it can improve target point cloud integrity and density while ensuring the capture of target.     

多项式输出中相关变量的结构贡献和相关贡献分析

以二次不含交叉项的多项式为例,解析推导了正态相关输入变量对输出响应量方差贡献的结构贡献部分和相关贡献部分。通过算例验证了解析结果的正确性。将所研究的指标和已有的进行对比,归纳出结构贡献部分和相关贡献部分的侧重与统一。解析解可直接用于极限状态函数不超过两次且不含交叉项的结构和相关贡献的识别,为其他新的数值算法提供了参考对照。     

基于三角模糊熵的装备维修合同商评价与选择

装备维修合同商保障能力评价是军民融合装备维修招投标过程中合理选择最优合同商的基础.通过对招投标过程及以往资料的研究,在考虑部队装备维修保障特殊性的基础上,从合同商资质、技术能力、管理水平和价格成本4个方面构建装备维修合同商评价指标体系,并运用基于三角模糊熵的综合评价法进行评价.综合运用三角模糊法和熵值法,针对评价指标的模糊性和不确定性,采用三角模糊数对定性指标量化处理,又用熵权反映出指标竞争的相对激烈程度,计算出评价对象与理想点的贴近度和距离,据此对评价对象进行优劣排序,最后通过实例进行了验证.     

When are observed failures more informative than observed survivals?

A framework involving independent competing risks permits observing failures due to a specific cause and failures due to a competing cause, which constitute survival times from the cause of primary interest. Is observing more failures more informative than observing survivals? Intuitively, due to the definitiveness of failures, the answer seems to be the former. However, it has been shown before that this intuition holds when estimating the mean but not the failure rate of the exponential model with a gamma prior distribution for the failure rate. In this article, we address this question at a more general level. We show that for a certain class of distributions failures can be more informative than survivals for prediction of life length and vice versa for some others. We also show that for a large class of lifetime models, failure is less informative than survival for estimating the proportional hazards parameter with gamma, Jeffreys, and uniform priors. We further show that, for this class of lifetime models, on average, failure is more informative than survival for parameter estimation and for prediction. These results imply that the inferential purpose and properties of the lifetime distribution are germane for conducting life tests. © 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013