违法销售及使用不合格消防产品行政处罚案例剖析

通过对一起违法销售及使用不合格消防产品案件调查取证、讨论分析,运用相关的法律法规知识,阐述了违法销售、使用不合格消防产品双方应负的不同责任,从而作出责令使用单位停止使用、没收销售单位不合格消防产品等消防行政处罚决定。     

远距离测量物体横向微小位移的方法研究

针对传统方法无法对物体横向微小位移进行远距离测量的难题,分析现有测量手段的优缺点,结合一个实践案例,提出了一种传统光学仪器与现代数码产品和计算机智能识别技术相结合的新方法。     

The impact of demand uncertainty on product line design under endogenous substitution

The existing product line design literature devotes little attention to the effect of demand uncertainty. Due to demand uncertainty, the supply‐demand mismatch is inevitable which leads to different degrees of lost sales depending on the configuration of product lines. In this article, we adopt a stylized two‐segment setup with uncertain market sizes and illustrate the interplay between two effects: risk pooling that mitigates the impact of demand uncertainty and market segmentation that facilitates consumer differentiation. Compared to downward substitution, inducing bidirectional substitution through product line decisions including quality levels and prices can yield greater risk pooling effects. However, we show that the additional benefit from the risk pooling effect cannot compensate for the reduced market segmentation effect. We demonstrate that the presence of demand uncertainty can reduce the benefit of market segmentation and therefore the length of product lines in terms of the difference between products. We also propose three heuristics that separate product line and production decisions; each of these heuristics corresponds to one particular form of demand substitution. Our numerical studies indicate that the best of the three heuristics yields performance that is close to optimality. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 143–157, 2015     

改进的混合蛙跳算法在雷达网部署中的应用

针对雷达组网优化部署的原则,建立了区域雷达组网优化部署的数学模型,提出了一种基于改进的蛙跳算法的雷达组网优化部署方法。在阐述了改进方法的基础上,与先前方法进行了对比分析。最后,通过计算机仿真试验进行了验证,结果表明:改进的混合蛙跳算法能够快速得到多种优化部署方案,且操作性强,能较好地应用于雷达组网优化。     

基于最优制导模板的神经网络预测制导方法

针对传统预测制导方法中高精度制导与快速实时解算之间的矛盾,提出了一种基于最优制导模板的神经网络预测制导方法。该方法采用基于高置信度飞行器运动模型仿真计算预测弹道落点,利用优化理论进行迭代解算制导变量,以此为基础离线生成样本数据;通过选择合适的多结构模态神经网络,进行基于调度管理的神经网络训练,完成神经网络控制器的设计。针对CAV进行了算例设计,结果表明:该制导方法在线计算量少,制导解算速度快,制导精度高,综合性能远优于传统的预测制导方法。     

提取时间对硝基油漆稀料燃烧产物鉴定的影响

油漆稀料是一种常见的助燃剂,提取时间对其燃烧产物的鉴定会有一定的影响。选取了纯毛织品作为实验载体,以硝基油漆稀料为研究对象,对燃烧残留物及燃烧烟尘进行了系统的GC-MS分析,找出了纯样和加载油漆稀料后燃烧产物主要成分的变化规律,对样品中目标化合物的相对峰面积随燃烧产物提取时间的变化曲线进行了非线性数学分析,初步找出了样品燃烧产物的相对峰面积随硝基油漆稀料燃烧产物提取时间变化的规律,为合理选择物证的提取时间提出了建议。     

有源干扰条件下基于NSGA-Ⅱ的雷达网优化部署方法

在有源干扰条件下,雷达网部署直接影响着防区内指挥信息系统的预警监测能力。由于防区内由分散于不同位置,且重要度不同的责任区组成的,那么实现全方位全纵深的预警能力,将是雷达网部署的重要方面。根据覆盖系数和重叠系数为主要优化目标,基于NSGA-Ⅱ算法进行多目标优化。首先定义了覆盖系数和全局重叠系数两个指标,尤其是全局重叠系数打破了以往重叠系数的概念,从全局出发引导雷达网优化部署;同时,提出基于NSGA-Ⅱ的多目标优化部署算法,采用诱导跳跃、基因到位、诱导交叉等候选解生成方式,保持种群多样性,提高算法收敛性。实验表明,部署优化算法耗时较低,不同干扰源部署态势使网络节点部署产生较大差异,多样的候选解生成方法明显提高了算法的收敛速度。     

变异系数在可靠性中的应用

对使用变异系数描述随机变量的离散程度进行分析,推导了可靠性工程中常用的4种概率分布的变异系数与分布参数之间的关系.以机械产品整机及其零部件不同失效模式的寿命变异系数的取值范围为实例,说明了变异系数在可靠性工程中的应用.     

A sequential dynamic pricing model and its applications

Consider a sequential dynamic pricing model where a seller sells a given stock to a random number of customers. Arriving one at a time, each customer will purchase one item if the product price is lower than her personal reservation price. The seller's objective is to post a potentially different price for each customer in order to maximize the expected total revenue. We formulate the seller's problem as a stochastic dynamic programming model, and develop an algorithm to compute the optimal policy. We then apply the results from this sequential dynamic pricing model to the case where customers arrive according to a continuous‐time point process. In particular, we derive tight bounds for the optimal expected revenue, and develop an asymptotically optimal heuristic policy. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

Development programs for one‐shot systems using multiple‐state design reliability models

Design reliability at the beginning of a product development program is typically low, and development costs can account for a large proportion of total product cost. We consider how to conduct development programs (series of tests and redesigns) for one‐shot systems (which are destroyed at first use or during testing). In rough terms, our aim is to both achieve high final design reliability and spend as little of a fixed budget as possible on development. We employ multiple‐state reliability models. Dynamic programming is used to identify a best test‐and‐redesign strategy and is shown to be presently computationally feasible for at least 5‐state models. Our analysis is flexible enough to allow for the accelerated stress testing needed in the case of ultra‐high reliability requirements, where testing otherwise provides little information on design reliability change. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004