灰色局势决策理论在炮兵火力计划优选中的运用

为了解决炮兵火力计划选择的随意性和盲目性,提出了以灰色理论为基础,综合考虑炮兵火力计划的性质和拟制原则的优选方法;深入研究了局势决策在计划优选中的应用;最后举例说明了灰色局势决策理论在计划优选中的应用,进一步证明了其科学性和创新性,为优选决策提供了一种定量和定性相结合的新方法。     

基于免疫粒子群文化算法的数字电路故障诊断

为改善粒子群算法摆脱局部极值点的能力,提升种群进化的多样性,将免疫算法中免疫机制引入到粒子群算法中形成免疫粒子群算法;为有效提高故障覆盖率和缩短测试生成时间,将免疫粒子群算法引入文化算法框架中形成免疫粒子群的文化算法。将其应用于数字电路故障模型仿真实验并与其他测试生成算法进行对比,结果表明该算法能够有效提高故障覆盖率,缩短测试生成时间,在大规模电路测试生成与故障诊断中更具优势。     

Doubly Stochastic Sequential Assignment Problem

This article introduces the Doubly Stochastic Sequential Assignment Problem (DSSAP), an extension of the Sequential Stochastic Assignment Problem (SSAP), where sequentially arriving tasks are assigned to workers with random success rates. A given number of tasks arrive sequentially, each with a random value coming from a known distribution. On a task arrival, it must be assigned to one of the available workers, each with a random success rate coming from a known distribution. Optimal assignment policies are proposed for DSSAP under various assumptions on the random success rates. The optimal assignment algorithm for the general case of DSSAP, where workers have distinct success rate distribution, has an exponential running time. An approximation algorithm that achieves a fraction of the maximum total expected reward in a polynomial time is proposed. The results are illustrated by several numerical experiments. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 124–137, 2016     

Optimal staffing in nonstationary service centers with constraints

This paper considers optimal staffing in service centers. We construct models for profit and cost centers using dynamic rate queues. To allow for practical optimal controls, we approximate the queueing process using a Gaussian random variable with equal mean and variance. We then appeal to the Pontryagin's maximum principle to derive a closed form square root staffing (SRS) rule for optimal staffing. Unlike most traditional SRS formulas, the main parameter in our formula is not the probability of delay but rather a cost‐to‐benefit ratio that depends on the shadow price. We show that the delay experienced by customers can be interpreted in terms of this ratio. Throughout the article, we provide theoretical support of our analysis and conduct extensive numerical experiments to reinforce our findings. To this end, various scenarios are considered to evaluate the change in the staffing levels as the cost‐to‐benefit ratio changes. We also assess the change in the service grade and the effects of a service‐level agreement constraint. Our analysis indicates that the variation in the ratio of customer abandonment over service rate particularly influences staffing levels and can lead to drastically different policies between profit and cost service centers. Our main contribution is the introduction of new analysis and managerial insights into the nonstationary optimal staffing of service centers, especially when the objective is to maximize profitability. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 615–630, 2017     

Capacity expansion and cost efficiency improvement in the warehouse problem

The warehouse problem with deterministic production cost, selling prices, and demand was introduced in the 1950s and there is a renewed interest recently due to its applications in energy storage and arbitrage. In this paper, we consider two extensions of the warehouse problem and develop efficient computational algorithms for finding their optimal solutions. First, we consider a model where the firm can invest in capacity expansion projects for the warehouse while simultaneously making production and sales decisions in each period. We show that this problem can be solved with a computational complexity that is linear in the product of the length of the planning horizon and the number of capacity expansion projects. We then consider a problem in which the firm can invest to improve production cost efficiency while simultaneously making production and sales decisions in each period. The resulting optimization problem is non‐convex with integer decision variables. We show that, under some mild conditions on the cost data, the problem can be solved in linear computational time. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 367–373, 2016     

基于BIST的3D SRAM中TSV开路测试算法研究与实现

基于3D-IC技术实现的3D SRAM,其电路中使用了大量的TSV。目前TSV制造工艺尚未成熟,使得TSV容易出现开路或短路故障,从而给3D SRAM的测试带来新的挑战。现有的2D BIST测试方式能够探测到3D SRAM中存在的故障,但并不能判定是TSV故障还是存储器本身故障;TSV专用测试电路虽然能够探测出TSV的故障,但需要特定的测试电路来实现,这就增加了额外的面积开销,同时加大了电路设计复杂度。基于此,本文提出了一种使用测试算法来探测TSV开路故障的方法,在不使用TSV专用测试电路且不增加额外面积开销的情况下通过BIST电路解决3D SRAM中TSV的开路故障检测问题。结果显示该TSV测试算法功能正确,能够准确探测到TSV的开路故障,并快速定位TSV的开路位置。     

（2015卫星导航）基于双天线载波相位差的卫星导航接收机抗欺骗技术研究

针对欺骗干扰信号难以有效实时模拟真实卫星信号空间分布特性的特点,本文提出了利用双天线载波相位差进行欺骗信号检测的方法。在已知接收机天线阵基线以及姿态条件下,同一路信号在两副天线上表现出的相位差与天线基线长度与信号入射相关。而信号入射角是空间信号的物理传播特性,欺骗干扰源无法通过数字方式改变。以通过卫星星历获取所跟踪卫星的精确位置为先验信息,即可确定真实信号在已知天线阵上的载波相位差,从而实现对欺骗信号的有效检测。本文分析了载波相位差计算的各种误差源,并在此基础上建立了针对欺骗信号的二元假设检验。最后,通过理论分析和仿真实验,验证了本文提出的欺骗信号检测技术的有效性,并得出了天线阵基线越长、入射方位角越小,载波相位差检测技术对欺骗信号的检测性能越优的结论。     

采用双天线载波相位差技术的卫星导航接收机抗欺骗方法

针对欺骗干扰信号难以有效实时模拟真实卫星信号空间分布特性的特点,提出利用双天线载波相位差进行欺骗信号检测的方法。分析载波相位差计算的各种误差源,并在此基础上建立针对欺骗信号的二元假设检验。通过理论分析和仿真实验,验证了所提欺骗信号检测技术的有效性,并得出了天线阵基线越长、入射方位角越小,载波相位差检测技术对欺骗信号的检测性能越优的结论。     

轻武器寿命可靠性模型研究

为轻武器寿命可靠性评定提供理论依据,运用经典的可靠性理论,将轻武器装备寿命试验归结为可修复系统的有替换定时截尾试验,通过分析某型机枪的寿命试验数据,对母体寿命可能的分布类型作出假设,选择χ2检验法对假设进行拟合优度检验,利用最小二乘法得出对应分布的线性相关系数,通过比较确定母体分布类型,建立了该型机枪寿命的可靠性数学模型,对同类轻武器装备的可靠性指标评定提供了一定的参考。     

相控阵雷达LPI搜索方法研究

相控阵雷达可通过合理配置工作参数优化其性能。针对相控阵雷达在搜索目标时易受敌方电子侦察设备威胁的现实,研究了在保持搜索能力的同时,通过合理配置参数降低截获概率的问题。分析了影响相控阵雷达搜索状态LPI(Low Probability of Intercept)性能的主要因素,建立了截获概率模型与搜索能力模型,给出了3种参数调整策略。仿真试验验证了模型的有效性,并比较了3种策略的优劣。