装甲装备质量信息建设的发展研究

回顾了装甲装备使用阶段质量信息工作的历史与现状,分析了当前装甲装备质量信息系统的建设情况,并针对质量信息工作的不足提出了若干建议和发展设想.     

多元先验信息的融合问题

在多元先验信息条件下,运用Bayes理论讨论问题时,必然会遇到先验信息融合问题.文中提出了几种简化形式,并针对产品失效率的多个先验信息情形,结合实例与熵度量的拟合优度说明了该方法的合理性.     

防空系统建模与目标价值排序方法

针对当前防空系统模型的构建和评估偏向于定性处理以及仅考虑其结构特性而忽视了系统中目标与关系自身属性的问题,在分析现有模型与评估方法的基础上,提出了基于邻接矩阵的防空系统模型,定义了能力评估向量,采用目标对体系能力贡献程度的目标价值综合评价方法,并引用Pareto占优中等级前沿和拥挤距离的思想提出了目标等级和目标离散度的概念,形成了非劣性价值排序算法,同时使用加权以及性价比方法和其他网络评估方法排序,采用自身设计以及随机生成案例进行仿真实验,结果验证了基于邻接矩阵的防空系统模型以及价值排序算法的有效性。     

北斗静止轨道卫星信号盲区快速并行解算方法

北斗系统静止轨道卫星信号盲区解算方法复杂,串行计算耗费时间长,须在并行环境下利用更多的计算资源进行北斗盲区的快速解算。在分析北斗盲区解算原理与算法并行特征基础上,提出动态盲区影响域的并行解算方法。以栅格单元为并行粒度进行任务划分,实现了北斗盲区的高效并行解算。运用全国范围59景数字高程模型数据,利用8进程进行盲区并行解算,耗费时间约为5小时。实验测试结果表明:算法的并行效率随着进程数的增加有所衰减,但稳定在96%以上。其程序中间件已集成应用于高性能地理信息平台,应用效果良好。     

面向任务的装备维修保障力量解聚方法

针对传统的装备维修保障力量派遣模糊、效率低下等问题,以受损装备为研究对象,以装备受损部位与维修专业之间的关系矩阵、修复受损装备时限为研究内容,以快速、精确派遣维修保障力量为研究目的,建立了面向任务的装备维修保障力量解聚模型。最后,重点分析并实例应用了装备维修保障力量解聚方法。     

基于粗糙集理论的军队代储应急物资品种选择

从军队对应急物资的需求特点及应急物资的特征属性出发,构建了军队代储应急物资品种选择的指标体系。在此基础上,通过部队调研和专家经验获得了一组军队代储应急物资品种选择的样本数据并形成了决策表,运用基于可辨识矩阵的属性频率约简算法对决策表进行属性约简,并对约简属性集进行属性值约简,提取出军队代储应急物资品种的选择规则。提取的规则简洁合理,能够为军队代储应急物资品种选择提供决策支持。     

Information disclosure with endogenous channel structure

This article investigates the firms' optimal quality information disclosure strategies in a supply chain, wherein the supplier may encroach into the retail channel to sell products directly to end consumers. We consider two disclosure formats, namely, retailer disclosure (R-C) and supplier disclosure (S-C), and examine the optimal disclosure format from each firm's perspective. We show that either firm prefers to delegate the disclosure option to its partner when the supplier cannot encroach. However, the threat of supplier encroachment dramatically alters the firm's preference of disclosure. The supplier may prefer the S-C format to the R-C format when the entry cost is low and the disclosure cost is high to achieve a higher quality information transparency. Meanwhile, the retailer may prefer the R-C format to the S-C format when the entry cost is intermediate to deter the possible encroachment of the supplier. In this sense, the firms' preferences of disclosure format can be aligned due to the threat of supplier encroachment. The consumer surplus is always higher under the S-C format while either disclosure format can lead to a higher social welfare. We also consider an alternative scenario under which the supplier encroaches after the product quality information is disclosed. An interesting observation appears that the supplier may encroach when the product quality is low but foregoes encroachment when the product quality gets higher.     

Modeling of unsupervised knowledge graph of events based on mutual information among neighbor domains and sparse representation

Text event mining, as an indispensable method of text mining processing, has attracted the extensive attention of researchers. A modeling method for knowledge graph of events based on mutual information among neighbor domains and sparse representation is proposed in this paper, i.e. UKGE-MS. Specifically, UKGE-MS can improve the existing text mining technology's ability of understanding and discovering high-dimensional unmarked information, and solves the problems of traditional unsupervised feature selection methods, which only focus on selecting features from a global perspective and ignoring the impact of local connection of samples. Firstly, considering the influence of local information of samples in feature correlation evaluation, a feature clustering algorithm based on average neighborhood mutual information is proposed, and the feature clusters with certain event correlation are obtained; Secondly, an unsupervised feature selection method based on the high-order correlation of multi-dimensional statistical data is designed by combining the dimension reduction advantage of local linear embedding algorithm and the feature selection ability of sparse representation, so as to enhance the generalization ability of the selected feature items. Finally, the events knowledge graph is constructed by means of sparse representation and l₁ norm. Extensive experiments are carried out on five real datasets and synthetic datasets, and the UKGE-MS are compared with five corresponding algorithms. The experimental results show that UKGE-MS is better than the traditional method in event clustering and feature selection, and has some advantages over other methods in text event recognition and discovery.     

基于子结构及模态柔度曲率差的某框架结构损伤识别

基于子结构思想,通过对框架结构中子结构的边界施加虚拟的数值支座,限制子结构边界的位移,把子结构从整体结构中隔离出来.运用提出的模态柔度曲率差方法对予结构进行了损伤识别.结果表明:该方法仅需低阶模态参数即可进行损伤识别,不论对单一位置损伤,还是多种共存的损伤,均具有损伤定位的能力,并能定性反映损伤程度.与已有的柔度差、柔...     

ESM量测间歇下雷达/ESM协同跟踪与辐射控制

为减少作战飞机目标跟踪过程中的雷达辐射,提出了一种ESM间歇量测情况下的机载雷达/ESM协同跟踪与辐射控制方法.采用基于IMM-EKF的雷达/ESM序贯滤波算法对目标进行滤波跟踪,利用跟踪过程中的预测协方差与预定门限进行比较控制雷达辐射,并给出了不同ESM间歇时间、控制门限与雷达辐射时间的关系.研究结论有助于提升作战飞机的隐蔽性和生存能力.