后勤保障指挥决策系统结构设计研究

军队后勤保障指挥决策系统是高技术局部战争后勤保障的中枢,科学合理构 建系统的结构是提高决策系统质量的关键,针对该系统大范围多领域的分布式特征,引入了 化学抽象机对系统结构进行形式化、规范化描述,可以清楚的反映系统的静态和动态特征, 对后勤"可视化"研究具有一定的指导意义。     

基于支持向量机的飞机备件需求预测

支持向量机是一种机器学习算法,在国外已广泛应用于工程实践领域。首先探讨了支持向量机回归预测模型的学习和预测机制,分析其中三个重要参数对算法的影响规律,得出一套定性的参数选择方法,然后将支持向量机引入到装备综合保障分析之中,构建了飞机备件智能预测模型,并对某型军用飞机备件需求进行了预测和分析,结果表明:基于支持向量机的备件需求预测是有效的、可行的。     

A note on combined job selection and sequencing problems

We investigate the solvability of two single‐machine scheduling problems when the objective is to identify among all job subsets with cardinality k,1≤k≤n, the one that has the minimum objective function value. For the single‐machine minimum maximum lateness problem, we conclude that the problem is solvable in O(n²) time using the proposed REMOVE algorithm. This algorithm can also be used as an alternative to Moore's algorithm to solve the minimum number of tardy jobs problem by actually solving the hierarchical problem in which the objective is to minimize the maximum lateness subject to the minimum number of tardy jobs. We then show that the REMOVE algorithm cannot be used to solve the general case of the single‐machine total‐weighted completion time problem; we derive sufficient conditions among the job parameters so that the total weighted completion time problem becomes solvable in O(n²) time. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 449–453, 2013     

全气动步兵武器表层自动喷涂机设计

分析目前步兵武器零件表层喷涂技术现状,提出全气动自动喷涂机设计方案,根据步兵武器零件结构特点,规划自动喷涂轨迹,设计全气动自动化喷涂专用设备．该设备具有本质安全性,适于部队条件下使用．     

基于CPLD与单片机的多路高精度数据采集系统设计

结合CPLD与单片机设计了一种多路高精度数据采集系统,最高可达24位转换精度。所采集数据具备良好的实时性,可采集通道数目多,同时系统具备较强的抗外界干扰能力,结构简单,可靠性好。该系统具有较强的可移植性,能够广泛应用于多路、高精度、低频数据采集的场合。     

A m‐parallel crane scheduling problem with a non‐crossing constraint

In this paper, we study a m‐parallel machine scheduling problem with a non‐crossing constraint motivated by crane scheduling in ports. We decompose the problem to allow time allocations to be determined once crane assignments are known and construct a backtracking search scheme that manipulates domain reduction and pruning strategies. Simple approximation heuristics are developed, one of which guarantees solutions to be at most two times the optimum. For large‐scale problems, a simulated annealing heuristic that uses random neighborhood generation is provided. Computational experiments are conducted to test the algorithms. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007.     

On equivalence between the proportionate flow shop and single‐machine scheduling problems

We derive sufficient conditions which, when satisfied, guarantee that an optimal solution for a single‐machine scheduling problem is also optimal for the corresponding proportionate flow shop scheduling problem. We then utilize these sufficient conditions to show the solvability in polynomial time of numerous proportionate flow shop scheduling problems with fixed job processing times, position‐dependent job processing times, controllable job processing times, and also problems with job rejection. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 595–603, 2015     

Scheduling research and the first decade of NRLQ: A historical perspective

It is generally recognized that the first model involving job scheduling was presented by Selmer Johnson and published in the inaugural issue of Naval Research Logistics Quarterly (NRLQ) in 1954. NRLQ also published another seminal scheduling paper by Wayne E. Smith a short time later. In the present paper, we discuss the contribution of NRLQ and the role of the Office of Naval Research in the development of the scheduling literature during the first decade (1954–1963). We also provide a critical analysis of the papers by Johnson and Smith. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 335–344, 2015     

机枪机器人的扫射方式和扫射角速度的研究

机枪机器人将在无人化战争中起到一定作用。使用者可以遥控射击,利用监视屏瞄准目标。由于图像传输延迟,监视屏上显示的图像反映目标在100 ms~300 ms之前的实际位置。射击移动目标是,如不考虑这一因素,将导致命中率降低。推导机枪机器人的扫射角速度计算式,对各种扫射方式进行分析和对比,以美制M240机枪为例进行仿真,进而找到了机枪机器人在平坦开阔地带的最优扫射方式。本方法可作为使用和设计机枪机器人的依据。     

火箭发动机故障检测的快速增量单分类支持向量机算法

为解决液体火箭发动机故障诊断正负样本不平均问题,以及实现发动机稳态工作段自适应故障检测,建立了基于快速增量单分类支持向量机的异常检测模型。采取特征工程方法,对传感器获得的多变量时间序列进行特征提取。通过增量学习方法,对单分类支持向量机模型进行改进,并应用于液体火箭发动机异常检测,使单分类支持向量机检测模型具备对不同台次、不同工况的自适应性,提高了模型的计算速度。对多台次热试车数据的分析结果表明,该模型十分有效,训练速度快,具备实用价值。