中国消防员心理健康状况调查与研究

通过问卷测试,采用中国消防员心理健康量表对全国16个省市的627名消防员的心理健康状况进行调查,以兵源、是否独生子女、职业经历、所在单位等为变量,对消防员心理健康水平进行调查与分析。结果表明一线消防员心理健康总体处于中等水平,在人口学变量上存在显著差异,且带有鲜明的职业特性。     

基于贝叶斯网络的空中目标威胁估计方法研究

针对当前威胁估计中存在的问题,提出了基于贝叶斯网络的空中目标威胁估计方法。文章从威胁估计的概念出发,构建了基于贝叶斯网络的威胁估计功能框架,在对输入的防空作战事件进行分类定义的基础上,给出了事件关联在贝叶斯网络中的实现方法,同时对模型的建立步骤进行了说明。文中提出的威胁估计方法在融合了目标威胁先验信息的基础上,通过战场观测到的不确定信息进行推理,其结果具有很强的可信性,相应的建模思路可为威胁估计系统的构建提供有益的参考。文章的最后以一个示例说明了方法的有效性。     

大型武器系统的技术成熟度评估方法

在介绍国外技术成熟度评估发展的基础上,给出了大型武器系统的技术成熟度评估方法;以导弹武器系统为例,说明了确定关键技术元素（CTE）的方法和步骤;最后通过对武器系统各单项关键技术元素的技术成熟度等级进行集成评估,得出整个武器系统的系统成熟度等级。     

全地形加油车高机动性底盘选型研究

底盘选型研究是保证新型加油车机动性大幅提升的基础.评析了标志地面车辆通行能力的多种概念,根据车辆机动性评估原理,提出了涵盖车辆快速性、支承通过性和几何通过性的机动性量化评估模型.应用该评估模型评定了备选车辆的机动性,验证了评估模型的有效性,选定了全地形加油车高机动性底盘,为车辆机动性的量化评估提供了研究思路.     

一种基于改进的ROUSTIDA算法的数据补齐方法

针对ROUSTIDA数据补齐方法存在的问题,提出了一种改进的ROUSTIDA数据补齐方法.该方法首先将条件属性与决策属性区分对待,优先填补决策属性值,避免了不一致决策表的产生;然后,在决策属性相同的前提下填补条件属性缺失值,扩展了原算法的使用范围;最后,通过一个实例说明改进算法补齐后的决策表的确能够获得更集中的决策规则...     

元器件性能退化信息的系统性能可靠性评估

性能可靠性方法为解决现代工程实际中的高可靠、长寿命、小子样产品的可靠性建模分析提供了途径.目前的性能可靠性研究主要是针对元器件开展的,对系统性能可靠性进行研究时通常需要将其看作一个元器件,需要得到系统的性能退化数据,在某些情况下,得到系统的性能退化数据比较困难.实际上,由于元器件的性能退化导致系统性能的变化,因而可以利...     

Using stochastic programming to solve an outpatient appointment scheduling problem with random service and arrival times

We study a stochastic outpatient appointment scheduling problem (SOASP) in which we need to design a schedule and an adaptive rescheduling (i.e., resequencing or declining) policy for a set of patients. Each patient has a known type and associated probability distributions of random service duration and random arrival time. Finding a provably optimal solution to this problem requires solving a multistage stochastic mixed‐integer program (MSMIP) with a schedule optimization problem solved at each stage, determining the optimal rescheduling policy over the various random service durations and arrival times. In recognition that this MSMIP is intractable, we first consider a two‐stage model (TSM) that relaxes the nonanticipativity constraints of MSMIP and so yields a lower bound. Second, we derive a set of valid inequalities to strengthen and improve the solvability of the TSM formulation. Third, we obtain an upper bound for the MSMIP by solving the TSM under the feasible (and easily implementable) appointment order (AO) policy, which requires that patients are served in the order of their scheduled appointments, independent of their actual arrival times. Fourth, we propose a Monte Carlo approach to evaluate the relative gap between the MSMIP upper and lower bounds. Finally, in a series of numerical experiments, we show that these two bounds are very close in a wide range of SOASP instances, demonstrating the near‐optimality of the AO policy. We also identify parameter settings that result in a large gap in between these two bounds. Accordingly, we propose an alternative policy based on neighbor‐swapping. We demonstrate that this alternative policy leads to a much tighter upper bound and significantly shrinks the gap.     

MF-CFI: A fused evaluation index for camouflage patterns based on human visual perception

The evaluation index of camouflage patterns is important in the field of military application. It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism. In order to make the evaluation method more computationally intelligent, a Multi-Feature Camouflage Fused Index (MF-CFI) is proposed based on the comparison of grayscale, color and texture features between the target and the background. In order to verify the effectiveness of the proposed index, eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index (UIQI), Camouflage Similarity Index (CSI) and Structural Similarity (SSIM). Twenty-four different simulated targets are designed in a grassland background, 28 observers participate in the experiment and record the eye movement data during the observation process. The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data, both in the designed digital camouflage patterns and large-spot camouflage patterns. Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception, the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.     

舰空导弹武器系统射击效能计算模型

针对当前空中来袭目标的主要特点,为有效评估舰空导弹武器系统对目标的射击效果,需要进行舰空导弹武器系统射击效能评估计算模型的初步研究。通过射击效能指标的选取和对目标的分析,并且根据多年来舰空导弹武器发展建设和作战运用的实际需求,在综合研究国内外多种效能评估理论和方法的基础上建立了舰空导弹对目标射击效能评估的计算模型并分析了射击效能指标的主要影响因素。该射击效能模型的初步研究,既可以使计算结果更加科学、全面、客观,同时对于其他武器系统射击效能的研究也有一定的借鉴作用。     

威胁评估中的一种直觉模糊推理方法

针对战场信息中存在大量不确定性因素的特点,利用一种新的直觉模糊推理方法进行威胁企图分析。推理方法有效利用两个传统Zadeh模糊系统的输出结果,更接近于专家的思维。通过实例研究证明了该方法的可行性。直觉模糊推理是对一般模糊推理的有效扩充和发展,该方法对于提高作战指挥决策智能化具有一定的参考意义。