基于改进空战威胁评估模型的权重计算方法比较

针对多无人机(UAV)任务网协同空战态势威胁评估问题,在现有基本模型基础上增加考虑气象环境对威胁评估要素的影响和无人机的自主可靠性系数两个实际因素,提出一种改进的超视距空战威胁评估模型;同时,应用串联电阻分压法、改进AHP法和熵权法分别计算融合模型中各威胁指标的权重系数;进而,在考虑己方战机对敌方战机综合威胁与优势的基础上,介绍了战机协同空战目标分配的基本方案。最后,应用上述3种权重计算方法进行空战威胁仿真计算,计算结果表明改进空战威胁评估模型可有效改善空战决策性能。     

基于Fiducial推断的Bayes验前分布的表示

先验分布的确定与表示是Bayes统计推断的出发点和关键点。提出了一种基于信仰推断 (FiducialInfer ence)观点确定Bayes先验分布的设想 ,有助于解决无验前信息或验前历史信息较少时先验分布的确定问题 ,文中给出了一个实例说明了该方法的应用     

Estimating failure time distribution and its parameters based on intermediate data from a Wiener degradation model

Instead of measuring a Wiener degradation or performance process at predetermined time points to track degradation or performance of a product for estimating its lifetime, we propose to obtain the first‐passage times of the process over certain nonfailure thresholds. Based on only these intermediate data, we obtain the uniformly minimum variance unbiased estimator and uniformly most accurate confidence interval for the mean lifetime. For estimating the lifetime distribution function, we propose a modified maximum likelihood estimator and a new estimator and prove that, by increasing the sample size of the intermediate data, these estimators and the above‐mentioned estimator of the mean lifetime can achieve the same levels of accuracy as the estimators assuming one has failure times. Thus, our method of using only intermediate data is useful for highly reliable products when their failure times are difficult to obtain. Furthermore, we show that the proposed new estimator of the lifetime distribution function is more accurate than the standard and modified maximum likelihood estimators. We also obtain approximate confidence intervals for the lifetime distribution function and its percentiles. Finally, we use light‐emitting diodes as an example to illustrate our method and demonstrate how to validate the Wiener assumption during the testing. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

A general model of heterogeneous system lifetimes and conditions for system burn‐in

Burn‐in is a technique to enhance reliability by eliminating weak items from a population of items having heterogeneous lifetimes. System burn‐in can improve system reliability, but the conditions for system burn‐in to be performed after component burn‐in remain a little understood mathematical challenge. To derive such conditions, we first introduce a general model of heterogeneous system lifetimes, in which the component burn‐in information and assembly problems are related to the prediction of system burn‐in. Many existing system burn‐in models become special cases and two important results are identified. First, heterogeneous system lifetimes can be understood naturally as a consequence of heterogeneous component lifetimes and heterogeneous assembly quality. Second, system burn‐in is effective if assembly quality variation in the components and connections which are arranged in series is greater than a threshold, where the threshold depends on the system structure and component failure rates. © 2003 Wiley Periodicals, Inc. Naval Research Logistics 50: 364–380, 2003.     

布尔函数的Walsh谱绝对值分布及其性质研究

提出并研究了布尔函数的Walsh谱绝对值分布.指出布尔函数Walsh谱绝对值分布在仿射变换下的不变性,计算了n(n≤5)元布尔函数的Walsh谱绝对值分布,研究了Walsh谱绝对值分布与Walsh谱支撑和Walsh谱中非零取值个数以及其他一些密码学难题的联系,最后研究了布尔函数的Walsh谱绝对值分布的大小.     

JTIDS系统扩频码的优选及扩频图案的设计

首先介绍了联合战术信息分发系统(JTIDS)的一般概念,进而针对它的抗干扰措施———直接序列扩频的扩频码的优选及扩频图案的设计,提出了合适的算法,并用C语言在微机上仿真实现。实验结果证明优选的码字质量高,生成速度快,此方面的仿真实现逼近JTIDS,有利于对JTIDS进行深入研究,从而对它实施有效干扰。     

设备管理系统的排队论分析

该文应用排队论的理论分析了设备损修系统中最优设备的解法。     

水解法测定发射药钝感剂浓度分布实验条件优化

对水解法测定发射药中钝感剂浓度分布实验条件进行了优化。结果表明,包覆材料选用氯丁橡胶胶粘剂效果最好;水解在沸碱液中进行时,残药表面光滑且能提高测试效率;残药干燥条件为:在100℃干燥20 m in。     

基于磨损量的数学模型及其数值模拟与分析

通过建立及讨论摩擦片磨损量的数学模型,用随机数学的方法给出了该模型的概率分布,并初步讨论了该分布的一些基本特征,通过数值模拟还给出了其独特的分布特征,如与正态分布的关系与区别,从而也为摩擦片失效分析提供了新的模型与方法.     

Scheduling a production–distribution system to optimize the tradeoff between delivery tardiness and distribution cost

We consider a make‐to‐order production–distribution system with one supplier and one or more customers. A set of orders with due dates needs to be processed by the supplier and delivered to the customers upon completion. The supplier can process one order at a time without preemption. Each customer is at a distinct location and only orders from the same customer can be batched together for delivery. Each delivery shipment has a capacity limit and incurs a distribution cost. The problem is to find a joint schedule of order processing at the supplier and order delivery from the supplier to the customers that optimizes an objective function involving the maximum delivery tardiness and the total distribution cost. We first study the solvability of various cases of the problem by either providing an efficient algorithm or proving the intractability of the problem. We then develop a fast heuristic for the general problem. We show that the heuristic is asymptotically optimal as the number of orders goes to infinity. We also evaluate the performance of the heuristic computationally by using lower bounds obtained by a column generation approach. Our results indicate that the heuristic is capable of generating near optimal solutions quickly. Finally, we study the value of production–distribution integration by comparing our integrated approach with two sequential approaches where scheduling decisions for order processing are made first, followed by order delivery decisions, with no or only partial integration of the two decisions. We show that in many cases, the integrated approach performs significantly better than the sequential approaches. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005