成像卫星星地联合成像调度

成像卫星星地联合调度问题,涉及调度对象众多,约束条件复杂,需要考虑任务的观测、回传2个过程,是一个具有两层时间窗口约束的双层优化问题,统一建模困难。根据问题的特点,采用基于阶段优化的方式,降低了问题的复杂性。把问题分为观测调度阶段和数据回传调度阶段,分别给出了优化目标和约束条件,建立了基于阶段优化的成像卫星星地联合调度模型,实现了从任务观测到数据回传的全过程调度。仿真实例表明,该方法能够有效解决多星多站的协同任务调度问题。     

Dual‐plate OLED display (DOD) based on amorphous‐silicon (a‐Si) TFT backplane

Abstract— An improved AMOLED with an a‐Si TFT backplane based on a unique structure is reported. The new structure is refered to as a dual‐plate OLED display (DOD). While a top‐emission OLED array is directly fabricated on a TFT backplane, the DOD consists of an upper OLED substrate and a lower TFT substrate, which are independently fabricated. Because the OLED substrate, which is fabricated through the process flow of bottom emission, is attached to the TFT substrate, the light is emitted in the opposite direction to the TFT backplane. The DOD enables the design of large‐sized TFTs and a complicated pixel circuit. It can also not only achieve higher uniformity in luminance in large‐sized displays due to the low electrical resistance of the common electrode, but also wider viewing angles.     

面向任务的量化风险评估方法

将管理层面的评估与技术层面的评估相结合,提出了一种基于任务模型的风险量化评估方法。与传统的风险评估量化方法相比,该模型以组织的任务目标为核心,避免主观偏见,排除与任务无关的资产、弱点、威胁的影响。提出的基于关键状态建立评估要素之间关联关系的方法,减小了无关联威胁及弱点对评估结果的误导,更贴近客观现实。     

面向存储资源优化的遥感卫星任务规划算法

针对遥感卫星的成像任务规划问题,按照任务重要性的不同,提出了两阶段调度策略,并设计了两个时间窗口选择规则。以星上存储资源优化为目标,利用地面站的下传活动将整个规划过程分为较小的调度区间,提出了可用存储空间上界估计算法计算每个调度区间的可调度存储资源容量,以此为基础对问题进行了简化,并给出了基于规则的启发式求解算法。实验结果表明,该算法是有效的。     

基于多传感器数据融合的微下击暴流感知

针对微下击暴流的风场特性和几种任务传感器的探测原理,研究基于多传感器数据融合的微下击暴流感知和威胁评估方案.采用扩展卡尔曼滤波的方法建立微下击暴流的解析模型,提出改进的迭代算法实现数据融合并降低参数估计的计算量,依照所建模型进行威胁度评估.仿真实例中选用前视红外(FLIR)和激光雷达(Lidar)探测的风速数据对方案进行验证,并计算F因子,评估其威胁度.     

基于CMMS的综合电子信息系统想定研究

任务空间概念模型是建模与仿真通用技术框架的三个组成部分之一,其目的是促进国防建模与仿真领域仿真部件的重用和互操作.而想定是综合电子信息系统建设过程中的重要组成部分,是进行战争模拟的基本前提;它针对研究分析和训练的问题,对模拟的战争系统的空间、时间、过程以及为了实现这一模拟仿真过程所需要的背景、条件、约束、规则以及仿真资源的设定.作战想定具体刻画了战争系统中需要描述的实体种类、数量以及需要关注的实体属性和活动.针对目前想定与仿真模型紧耦合而带来仿真系统重用性差等缺点,利用CMMS的思想,提出了一种能够实现想定与仿真系统相分离的处理机制,以促进想定的重用的和仿真的互操作性.     

我国煤矿瓦斯涌出量预测方法综述

介绍了目前我国煤矿瓦斯安全的现状和瓦斯涌出量预测的6种方法,分析了预测方法的原理和适用条件,并对预测方法的性能进行比较。     

Forest biomass mapping from lidar and radar synergies

The use of lidar and radar instruments to measure forest structure attributes such as height and biomass at global scales is being considered for a future Earth Observation satellite mission, DESDynI (Deformation, Ecosystem Structure, and Dynamics of Ice). Large footprint lidar makes a direct measurement of the heights of scatterers in the illuminated footprint and can yield accurate information about the vertical profile of the canopy within lidar footprint samples. Synthetic Aperture Radar (SAR) is known to sense the canopy volume, especially at longer wavelengths and provides image data. Methods for biomass mapping by a combination of lidar sampling and radar mapping need to be developed.In this study, several issues in this respect were investigated using aircraft borne lidar and SAR data in Howland, Maine, USA. The stepwise regression selected the height indices rh50 and rh75 of the Laser Vegetation Imaging Sensor (LVIS) data for predicting field measured biomass with a R² of 0.71 and RMSE of 31.33 Mg/ha. The above-ground biomass map generated from this regression model was considered to represent the true biomass of the area and was used as a reference map since no better biomass map exists for the area. Random samples were taken from the biomass map and the correlation between the sampled biomass and co-located SAR signature was studied. The best models were used to extend the biomass from lidar samples into all forested areas in the study area, which mimics a procedure that could be used for the future DESDYnI mission. It was found that depending on the data types used (quad-pol or dual-pol) the SAR data can predict the lidar biomass samples with R² of 0.63-0.71, RMSE of 32.0-28.2 Mg/ha up to biomass levels of 200-250 Mg/ha. The mean biomass of the study area calculated from the biomass maps generated by lidar-SAR synergy was within 10% of the reference biomass map derived from LVIS data. The results from this study are preliminary, but do show the potential of the combined use of lidar samples and radar imagery for forest biomass mapping. Various issues regarding lidar/radar data synergies for biomass mapping are discussed in the paper.     

基于混合蚁群优化的卫星地面站系统任务调度方法

卫星地面站系统任务调度是一个典型的组合优化问题, 优化过程极其复杂. 鉴于此, 提出了一种有效求解该问题的基于蚁群优化算法和导向局部搜索方法的混合优化方法. 该方法将蚁群优化和导向局部搜索有效地结合在一起, 极大地提高了优化绩效. 实例计算结果表明, 该混合方法能有效地求解卫星地面站系统任务调度问题.     

基于多次致命性故障定量判定的复杂可修系统可信度建模的解 …

在定量识别多次致命性故障状态的基础上,通过对发生致命性故障事件和修复事件的描述,提出了复杂可修系统可信度计算的一般方法,同时详细地推导致命性故障和任务修复率为常数时复杂可修系统可信度的计算公式,并且展开讨论了发生多次致命性故障时复杂可修系统可信度的建模问题：最后以实例进行了可信度建模的工程化验证。