基于B/S结构出差五定单系统的设计与实现

网络办公已成为现代企业发展的趋势,更是企业实现无纸化办公、提高办公效益、节约办公成本的现代化工具。利用现有的网络平台,开发了一套适合企业财务部门使用的"出差五定单"系统,以替换手工填写纸质的办公模式来提高工作效益。本文主要阐述基于B/S三层体系结构模式的出差五定单系统功能模块的开发和研究以及如何使用ASP和Access解决一些相关的技术,其中包括系统的安全性、稳定性、实用性等问题。     

基于任务空间概念模型的导弹作战想定研究

作战想定是军事仿真领域不可缺少的重要组成部分.在目前的军事建模与仿真中,作战想定与仿真模型之间通常都是紧耦合的,由此带来了仿真成员、仿真系统可重用性差等诸多缺点.针对此,基于任务空间概念模型(CMMS)的思想,探讨了CMMS与想定的关系,分析了常规导弹作战想定中需要描述的主要内容,对导弹作战想定中的基本要素进行了分析抽取,并对其进行标准化、规范化的抽象描述,以实现想定与仿真系统相分离.最后,给出了想定数据库中基本表的结构和关系.     

地球单基ISAR对月球成像信号参数设计与仿真

利用地基逆合成孔径雷达（Inverse Synthetic Aperture Radar,ISAR）对月球进行观测和成像处理,可获得月球正面的地形地貌等特征。本文首先构建了用于逆合成孔径雷达成像的地面单基雷达对月球观测的等效转台模型,分析了月球表面等效散射中心与雷达径向距离的变化特性。然后,给出了单基雷达脉冲重复频率、脉冲宽度、工作频段、带宽和采样频率等信号参数的设计准则,并建立了单基雷达对月球观测的ISAR回波模型与成像处理流程。最后,通过仿真实验验证了本文理论分析和成像算法的有效性。     

直升机尾减速器机匣疲劳试验方法研究

根据减速器机匣疲劳损伤应力循环的动、静应力包罗线方法确定了疲劳试验加载方案;根据设计载荷谱或飞行实测,确定各载荷作用点的状态载荷并编制了疲劳试验谱;根据减速器机匣的受力形式,完成减速器机匣疲劳试验装置的设计。结果表明,该试验装置既可以考虑高频动载荷的影响,又能简化疲劳试验的加载程序,明显缩短了疲劳试验的周期。     

独立学院公共计算机基础课程教学改革探索

首先对独立学院公共计算机基础课程的现状和问题进行了分析,问题主要包括学生的计算机水平参差不齐、教学效率低、学生解决实际问题的能力差等。然后针对上述问题,提出了教学改革方案,包括开展分类分层次教学,改革教学方法,还要提升教师队伍的素质,提高学生的学习兴趣等等。     

嵌入式高可靠星务管理软件设计与验证

针对某型号小卫星在空间飞行可能面临的硬件和软件故障,设计星载计算机星务管理软件,分析其可靠性。该星载计算机采用双机冗余设计,使用双机通信保持主备份机切换时的系统运行状态,通过软件可靠性技术实现空间环境下部分硬件暂态错误的容错。空间飞行测试结果证明该星务管理软件安全可靠,使卫星完成了预定的任务。     

物联网技术专业课程体系探索

论述物联网专业设置的必要性和可行性,探讨物联网技术专业的人才培养目标,研究物联网技术专业的课程体系结构,以期研究工作有助于为即将开设该专业的学校提供参考。     

运输任务分配与路径选择的组合优化模型

针对运输任务分配与路径选择的组合优化问题,提出基于二维染色体结构的改进遗传求解算法。采用自然数编码,设计选择、交叉、变异、检查算子,以及算法的控制参数和算法终止条件,给出遗传算法的求解模型。开发基于C#的实验平台进行验证,结果证明,该算法具有较好的求解性能。     

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.