Layers of Experiments with Adaptive Combined Design

In the field of nanofabrication, engineers often face unique challenges in resource‐limited experimental budgets, the sensitive nature of process behavior with respect to controllable variables, and highly demanding tolerance requirements. To effectively overcome these challenges, this article proposes a methodology for a sequential design of experiments through batches of experimental runs, aptly named Layers of Experiments with Adaptive Combined Design (LoE/ACD). In higher layers, where process behavior is less understood, experimental regions cover more design space and data points are more spread out. In lower layers, experimental regions are more focused to improve understanding of process sensitivities in a local, data‐rich environment. The experimental design is a combination of a space‐filling and an optimal design with a tuning parameter that is dependent on the amount of information accumulated over the various layers. The proposed LoE/ACD method is applied to optimize a carbon dioxide (epet‐CO2) assisted deposition process for fabricating silver nanoparticles with pressure and temperature variables. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 127–142, 2015     

使用融合乘加加速快速傅里叶变换计算的向量化方法

融合乘加指令加速快速傅里叶变换计算的向量化方法,通过变换快速傅里叶变换的蝶形单元运算流程,将传统计算方式中独立的乘法和加法操作组合成次数更少的融合乘加操作,使得时间抽取法基2快速傅里叶变换算法的蝶形单元计算的实数浮点操作由原来的10次乘(加)操作减少到6次融合乘加操作,时间抽取法基4快速傅里叶变换算法的蝶形单元计算的实数浮点操作由原来的34次乘(加)操作减少到24次融合乘加操作;优化了蝶形因子的向量访问,减少存储开销。实验结果表明,提出的方法能够显著加速快速傅里叶变换的计算,取得高效的计算性能和效率。     

改进Costas环的GPS载波跟踪环路

针对高动态环境下载波信号会产生较大多普勒频移而导致跟踪环路失锁的问题,对其基带信号进行双向限幅以改进Costas环的鉴相特性。同时,采用叉积型鉴频器,通过频率牵引使捕获后的频差达到跟踪模块的工作范围,并根据对锁相环和锁频环的特性分析及其各自的优缺点,选择锁频环辅助锁相环的复合结构。仿真试验结果表明,在高动态环境下(运动速度1 200 m/s)该跟踪环可以快速跟踪卫星信号,即时误差趋近于0,且当加速度达到40 g以上时,经过该复合环跟踪后的多普勒频移比传统锁相环减小了50%以上。     

基于国家海上安全战略的海警智库建设研究

海警智库建设对加快海警力量建设发展,提高海警力量的应对能力和加强海上安全问题研究具有重要意义。立足于国家海上安全战略,对我国海警智库建设的动因、功能和策略进行了探讨。     

基于改进人工免疫算法的火力分配

随着现代武器杀伤力的极大提高,任何来袭目标的突防都可能造成极大的破坏,这对传统的火力分配提出了挑战。提出一种新的火力集中原则,在满足对来袭目标一定杀伤的前提下,适当转移火力,实现火力总的集中,据此建立了火力分配优化模型。通过改进人工免疫算法的抗体群,提高模型的求解速度,缩短方案的寻优时间。通过实例进行仿真,结果表明,基于改进人工免疫算法能较快速实现火力分配,算法具有一定的可行性。     

基于人工蜂群算法优化的改进高斯过程模型

高斯过程(GP)的非线性特征导致其对大样本的训练时间复杂度过高,而且其超参数的选取是否适当直接影响高斯过程回归模型的预测精度。提出采用人工蜂群(ABC)算法优化改进GP以减小时间复杂度和提高预测精度。改进GP通过选取训练样本的子样本进行模型学习,以降低训练过程的时间复杂度。ABC通过优化改进GP的超参数,提升预测精度。选取训练样本的子样本构建改进GP回归(GPR)模型,采用ABC算法搜寻改进GPR的最优超参数,并用得到的超参数构建最优的改进GPR模型,输入测试样本进行预测并输出预测精度。将该模型应用于解决海上远程精确打击(LPSS)体系作战效能评估问题中,通过MATLAB仿真实验,与常见的多种优化方法相比较,验证了该模型的有效性。     

Stochastic scheduling subject to machine breakdowns: The preemptive‐repeat model with discounted reward and other criteria

We consider the problem of scheduling a set of jobs on a single machine subject to random breakdowns. We focus on the preemptive‐repeat model, which addresses the situation where, if a machine breaks down during the processing of a job, the work done on the job prior to the breakdown is lost and the job will have to be started from the beginning again when the machine resumes its work. We allow that (i) the uptimes and downtimes of the machine follow general probability distributions, (ii) the breakdown process of the machine depends upon the job being processed, (iii) the processing times of the jobs are random variables following arbitrary distributions, and (iv) after a breakdown, the processing time of a job may either remain a same but unknown amount, or be resampled according to its probability distribution. We first derive the optimal policy for a class of problems under the criterion to maximize the expected discounted reward earned from completing all jobs. The result is then applied to further obtain the optimal policies for other due date‐related criteria. We also discuss a method to compute the moments and probability distributions of job completion times by using their Laplace transforms, which can convert a general stochastic scheduling problem to its deterministic equivalent. The weighted squared flowtime problem and the maintenance checkup and repair problem are analyzed as applications. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

A spatial rank‐based multivariate EWMA control chart

Nonparametric control charts are useful in statistical process control when there is a lack of or limited knowledge about the underlying process distribution, especially when the process measurement is multivariate. This article develops a new multivariate self‐starting methodology for monitoring location parameters. It is based on adapting the multivariate spatial rank to on‐line sequential monitoring. The weighted version of the rank‐based test is used to formulate the charting statistic by incorporating the exponentially weighted moving average control scheme. It is robust to non‐normally distributed data, easy to construct, fast to compute and also very efficient in detecting multivariate process shifts, especially small or moderate shifts which occur when the process distribution is heavy‐tailed or skewed. As it avoids the need for a lengthy data‐gathering step before charting and it does not require knowledge of the underlying distribution, the proposed control chart is particularly useful in start‐up or short‐run situations. A real‐data example from white wine production processes shows that it performs quite well. © 2012 Wiley Periodicals, Inc. Naval Research Logistics 59: 91–110, 2012     

空战截击引导航线自动生成算法研究

以等角航线作为截击引导航线计算的基础,研究了满足战术要求的截击引导航线自动生成方法,提出了基于前置点滑动搜索的截击引导航线优化生成算法（LPMSOA,lead-point moving search optimal algorithm)。LPMSOA算法采用二分搜索思想,以到达时间差为优化准则,通过对预定敌机前置点的滑动搜索来寻找最优前置点,通过飞行航迹长度最小化获得最短截击时间,在此基础上对最优截击引导航线进行解算。仿真实验表明,LPMSOA能有效解决空战截击引导航线自动生成问题,算法实时性强,计算精度高。     

直接探测型窄脉冲激光雷达扫描性能分析

针对脉冲激光雷达系统,通过对激光脉冲重叠方式的分析,确定了采用"五点式"重叠方式进行扫描。针对这种扫描方式,分析了方位和俯仰两个方向的扫描光束角步长,确定了对于确定探测空域的最短扫描时间,推导了反射镜在方位和俯仰两个方向的扫描速度以及两者之间的定量关系,给出了脉冲激光雷达扫描器方位扫描速度和俯仰扫描速度设计的理论依据。最后分析了激光器和机械扫描系统所引起的系统误差,并给出了解决方法。