子波域中图象数据的矢量量化

介绍了子波变换的基本理论及特点,并用它对图象进行三层分解。矢量量化优于标量量化。它已成功地应用于图象的数据压缩。文中应用失显量化法量化图象于波域数据,取得较满意的压缩效果。     

机械设备视情维修决策系统的研究与开发

从技术的角度讨论了为机械设备开发维修决策支持系统的必要性、可行性及系统技术关键的解决策略,以及系统开发中对人力资源的需求,为开发这样的系统提供技术与管理上的支持.     

用故障树分析法排除柴油机监控系统故障

对某型舰艇柴油机监控系统运行中发现的三个故障现象,应用故障树分析法,构筑相应故障树,在此基础上进行逐项测试检查,最终完成了故障定位,修理后成功地排除了所有故障.     

Comparison of rank aggregation methods based on inherent ability

Ranking is a common task for selecting and evaluating alternatives. In the past few decades, combining rankings results from various sources into a consensus ranking has become an increasingly active research topic. In this study, we focus on the evaluation of rank aggregation methods. We first develop an experimental data generation method, which can provide ground truth ranking for alternatives based on their “inherent ability.” This experimental data generation method can generate the required individual synthetic rankings with adjustable accuracy and length. We propose characterizing the effectiveness of rank aggregation methods by calculating the Kendall tau distance between the aggregated ranking and the ground truth ranking. We then compare four classical rank aggregation methods and present some useful findings on the relative performances of the four methods. The results reveal that both the accuracy and length of individual rankings have a remarkable effect on the comparison results between rank aggregation methods. Our methods and results may be helpful to both researchers and decision‐makers.     

Augmented nested sampling for stochastic programs with recourse and endogenous uncertainty

We propose a novel simulation‐based approach for solving two‐stage stochastic programs with recourse and endogenous (decision dependent) uncertainty. The proposed augmented nested sampling approach recasts the stochastic optimization problem as a simulation problem by treating the decision variables as random. The optimal decision is obtained via the mode of the augmented probability model. We illustrate our methodology on a newsvendor problem with stock‐dependent uncertain demand both in single and multi‐item (news‐stand) cases. We provide performance comparisons with Markov chain Monte Carlo and traditional Monte Carlo simulation‐based optimization schemes. Finally, we conclude with directions for future research.     

旋转单元电场矢量法的真解判定方法

旋转矢量法可被用来进行有源相控阵列的通道校准。每轮测试后在计算相应通道的幅相时会出现伪解。通过调整固定场矢量的幅度,进行两轮测试,判定两轮测试中绝对解不变的那组解为真解。其辨别方法,在有效判定真解的同时,也降低了计算量与测试量。另外,由于两轮测试时只需测量幅度信息,降低了测试设备复杂度。数值仿真结果证明了此方法的有效性。     

基于定时Petri网的舰艇保障能力仿真与评估

舰艇保障是一种主要依赖后勤技术装备的专业化后勤,也是涉及并行、冲突,并受资源、装配时间等限制的复杂离散事件过程。借助定时Petri网强大的描述能力标记过程中的各种动态行为,在此基础上对包括后勤装备在内的后勤实体、保障任务、保障活动等进行建模,采用编码、转换等手段实现舰艇保障过程仿真,并使用仿真结果对后勤保障能力进行"定量计算"为主的分析评估。     

直觉层次模糊评价法的航材逆向物流效益评估

在分析影响航材逆向物流效益因素的基础上,构建了航材逆向物流效益指标体系,提出了一种新的效益评估方法,这种方法将直觉模糊熵权法与层次分析法有效地结合起来,共同确定指标权重,再通过模糊综合评价法对航材逆向物流效益进行评估,提高了评估的科学性和准确性,为航材部门完善物流环节、提高物流效益提供了一定的参考。     

装备保障体系结构描述及鲁棒性分析

系统建模语言(SysML)是在对UML2.0子集进行重用和扩展的基础上,综合了面向对象方法和结构化方法的各自优势,提出的一种面向体系结构设计的可视化建模语言。以该设计语言为基础,构建了装备保障体系结构视图模型,并考虑到目前国内关于体系结构评估缺少相关可执行模型的现实情况,引入了复杂网络理论,将各保障实体抽象为网络中的点,实体间的关联关系抽象为边,以军装备保障体系力量为研究对象,建立了军级装备保障体系网络结构模型。最后对网络模型的鲁棒性进行分析,为装备保障体系建设的研究提供了一种新思路。     

基于改进熵值法的装备维修保障能力灰色评估

装备维修保障能力评估的准确度直接影响到装备的保障效能。在评估中,指标权重的确定尤为重要。针对熵值法赋权中单一指标权重过大,影响评估结果的问题,借鉴AHP赋权法,构建基于指标信息熵的判断矩阵来求解权重,克服了熵值法单一指标权重可能过大的问题。最后采用灰色系统理论对装备的维修保障能力进行了评估,通过分析评估结果,验证了该方法的正确性。