化学敏感材料的应用与发展

对敏感材料的特点、分类及其在科技、化工等领域内的广泛应用和发展前景 ,进行了较全面的综述     

基于Riccati方程的动态传感器分配算法

针对组网跟踪系统传感器分配算法计算量过大的问题,提出了一种基于Riccati方程的动态传感器分配算法。该算法通过Riccati方程离线计算各传感器组合跟踪下的稳态滤波协方差,根据稳态滤波协方差与期望协方差的接近程度动态分配传感器资源。仿真结果显示,与传统协方差控制和贪婪算法相比,基于Riccati方程的动态传感器分配算法在大大减少计算量的同时能够保持较好的跟踪性能。该方法能够更好地应用于大规模传感器组网目标协同跟踪系统。     

光纤光栅压力传感器封装增敏技术

介绍了封装对光纤光栅纤内谐振腔的光学特性的影响、基于压力增敏的光纤光栅封装的物理机制及其研究进展,综述了解决应变和温度交叉敏感问题的方法,提出了一种基于压力传感增敏效果好的多层封装结构,同时还利用2种聚合物不同的力学特性,设计了一种解决应变和温度交叉敏感的封装方法,讨论了封装材料对增敏效果的影响.     

检测柴油机燃油喷射系统的卡持式传感器

介绍了目前柴油机燃油喷射系统技术状况检测的各种方法及其特点。在此基础上,研制了一种卡持在高压油管上的传感器,试验结果表明:该传感器能满足喷射系统技术状况不解体检测的要求。     

基于能量均衡的无线传感器网络生命周期延长策略

为了从能量均衡角度出发解决无线传感器网络生命周期延长问题,从而延长整个物联网生命周期,针对无线传感器网络节点遭遇"路由空洞"的时候出现路由中断和生命周期缩短现象,分析能量消耗原理,构建最优跳数模型和能量均衡协议,并提出采用能量均衡的思路减少节点能量消耗。实验仿真发现,应用能量均衡协议使无线传感器网络节点能量分布更加均匀,节点能量消耗时间明显变长,而个别节点能量消耗速度明显大于其他节点的情况得以减少,达到延长无线传感器网络生命周期的目的。仿真结果验证了该方法的可行性。     

基于信息损失最小的预警卫星传感器调度模型

科学合理地调度预警卫星传感器资源是提高弹道导弹预警作战效能的重要手段.在预警卫星传感器资源(主要是凝视探测器)有限而进攻弹道导弹目标数量较多时,利用最小信息损失准则,将传感器调度问题转化为最优访问路径问题进行建模研究,满足了导弹预警资源调度的需要,仿真结果验证了模型的可靠性和可用性.     

Optimal inventory control policy for periodic‐review inventory systems with inventory‐level‐dependent demand

We consider a setting in which inventory plays both promotional and service roles; that is, higher inventories not only improve service levels but also stimulate demand by serving as a promotional tool (e.g., as the result of advertising effect by the enhanced product visibility). Specifically, we study the periodic‐review inventory systems in which the demand in each period is uncertain but increases with the inventory level. We investigate the multiperiod model with normal and expediting orders in each period, that is, any shortage will be met through emergency replenishment. Such a model takes the lost sales model as a special case. For the cases without and with fixed order costs, the optimal inventory replenishment policy is shown to be of the base‐stock type and of the (s,S) type, respectively. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012     

Optimization of steerable sensor network for threat detection

A Markov chain approach to detecting a threat in a given surveillance zone by a network of steerable sensors is presented. The network has a finite number of predetermined states, and transition from one state to another follows a Markov chain. Under the assumption that the threat avoids detection, two game theoretic problems for finding an optimal Markov chain (two surveillance strategies) are formulated: the first maximizes the probability of threat detection for two consecutive detection periods, whereas the second minimizes the average time of detection for the worst‐case threat's trajectory. Both problems are reduced to linear programming, and special techniques are suggested to solve them. For a dynamic environment with moving noise sources, the optimal Markov chain changes at each detection period, and the rate of convergence of the Markov chain to its stationary distribution is analyzed. Both surveillance strategies are tested in numerical experiments and compared one with another. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

光纤法测量表面粗糙度的影响因素分析

由于光纤法测量表面粗糙度易受到传感器光源、零件材料、零件加工方法和测量环境的影响,从而降低了测量的精度。针对这些影响因素进行了分析,提出了解决办法,从而提高了测量精度。     

云模型及其在指挥控制系统可靠性分析中的应用

根据指挥控制系统的特点及作战应用的具体情况,从指挥控制系统的可靠性出发,提出了适合指控系统可靠性分析的云模型。通过拟定性能评价指标,导出各指标的云模型及其多维加权综合云的重心,应用云重心评价方法进行分析;并通过案例,运用基于PC-L INM AP的云重心评价方法,以影响指挥控制系统可靠性的两个重要性能指标为依据,分析了未来联合作战中指挥控制系统的可靠性,比较贴近作战实际,可信度较高。