AISI H13钢表面改性技术研究进展

用于加工铝合金、镁合金零部件的AISI H13热作模具钢因其恶劣的服役环境,现已表现出低寿命的致命缺陷.激光加热淬火工艺因兼有表面强化、残余应力低及与基底保持高的结合之特性,使AISI H13热作模具钢具有广阔的应用前景;激光熔覆合金化工艺因具有较强的表面可设计性与使用可靠性,使AISI H13热作模具钢具有巨大的发展潜力;热喷涂工艺具有流程短且涂层可设计性等优势,但因涂层与基底呈弱结合之状态,因此应在成分与工艺上进行涂层与基底之间热匹配设计,以满足工程应用的高性能化与长寿命化之需.     

难加工材料3种优化指标的应用特性

采用刀具耐用度、切削里程、材料去除总量对同一组难加工材料进行正交试验,结果表明:采用刀具耐用度作为评价指标进行优化时,其结果往往是对应于最小的切削用量,高的刀具耐用度并不对应于高的切削能力和切削效率,优化结果存在较大的局限性;切削里程和材料去除总量在实际生产中分别代表已加工表面的形成量和总切削量,可以较好地反映切削参数与应用效果之间的关系,作为评价指标时,两者较刀具耐用度的评价更为有效。不同指标的评价结果不同,应用时需根据实际情况进行有针对性的选择。     

雷达天线扫描方式的自动识别方法

为了对雷达天线扫描方式进行自动识别,改进开发了天线扫描方式模拟器,并分别研究了电子扫描和机械扫描的特征提取和识别方法。基于最大主瓣脉冲序列的特征参数实现电子扫描和机械扫描的区分,然后基于单个天线扫描周期脉冲序列的特征参数实现8种机械扫描方式的自动识别。仿真结果表明,本文方法能够区分一维电扫、二维电扫和机械扫描,并且采用支持向量机决策树对机械扫描方式的识别正确率高于决策树方法。     

Data-driven research in retail operations—A review

We review the operations research/management science literature on data-driven methods in retail operations. This line of work has grown rapidly in recent years, thanks to the availability of high-quality data, improvements in computing hardware, and parallel developments in machine learning methodologies. We survey state-of-the-art studies in three core aspects of retail operations—assortment optimization, order fulfillment, and inventory management. We then conclude the paper by pointing out some interesting future research possibilities for our community.     

基于支持向量机的多元文本分类研究

根据文本分类的特点,在对最小二乘支持向量机方法进行详细分析的基础上,创建了基于最小二乘支持向量机的多元文本分类器.实验表明,采用该文本分类器能够在保持较高分类精度和召回率的基础上,提高训练效率,具有一定的可行性.     

装甲车辆发动机通用维修工具的研制

针对各型装甲装备发动机,尤其是新装备发动机在部队维护保养、调整、修理等过程中存在的问题,提出了研制一套用于野外条件下的随车工具的技术方案,可以解决当前多种装备发动机在维护、保养、调整和修理过程中专用工具严重缺乏的问题.整套工具可用于室内和野外作业,能实现装备的"伴随保障",对改善装甲装备发动机的维修条件,提高其技术保障能力,具有重要的意义.     

武器系统研制费投资分布规律的仿真研究

针对大型项目多峰、复杂费用分布的传统仿真建模方法模型选取过于复杂、且难以达到精度要求等不足,提出将一种基于支持向量机的机器学习方法应用于大型复杂武器系统研制费投资分布研究.计算结果表明,这种方法有效弥补了传统建模方法的缺陷,有更好的泛化能力和实用性,因而可以作为研究此类问题的一种新方法.     

A robust policy for serial agile production systems

One of the major problems in modeling production systems is how to treat the job arrival process. Restrictive assumptions such as Markovian arrivals do not represent real world systems, especially if the arrival process is generated by job departures from upstream workstations. Under these circumstances, cost‐effective policies that are robust with respect to the nature of the arrival process become of interest. In this paper, we focus on minimizing the expected total holding and setup costs in a two‐stage produce‐to‐order production system operated by a cross‐trained worker. We will show that if setup times are insignificant in comparison with processing times, then near‐optimal policies can be generated with very robust performances with respect to the arrival process. We also present conditions under which these near‐optimal policies can be obtained by using only the arrival and service rates. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2005.     

A note on the optimality of index priority rules for search and sequencing problems

We show that the linear objective function of a search problem can be generalized to a power function and/or a logarithmic function and still be minimized by an index priority rule. We prove our result by solving the differential equation resulting from the required invariance condition, therefore, we also prove that any other generalization of this linear objective function will not lead to an index priority rule. We also demonstrate the full equivalence between two related search problems in the sense that a solution to either one can be used to solve the other one and vice versa. Finally, we show that the linear function is the only function leading to an index priority rule for the single‐machine makespan minimization problem with deteriorating jobs and an additive job deterioration function. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

基于支持向量机的雷达弹道外推方法仿真研究

支持向量机是一种求解回归预测问题的优秀决策方法,具有坚实的理论基础和优秀的预测性能。为解决目前雷达弹道外推中存在的精度不高和不能有效识别弹道等问题,对基于支持向量机的雷达弹道外推方法进行了仿真设计,并通过仿真弹道模拟雷达采样,进行了仿真实验。仿真实验结果表明:基于支持向量机的雷达弹道外推方法实用可行,可以获得较高的外推精度,并且能够有效地进行弹道识别。