浅析高校房产管理存在的问题及对策

在我国市场经济快速发展的背景下,随着高校校区规模的不断扩张,高校的房产管理工作面临着管理体制改革和服务水平提升的双重挑战。对高校房产管理工作中存在的问题进行了分析,结合高校房产管理工作的实际情况,提出了改进高校房产管理的几点措施。     

基于神经网络的飞行科目模板样本集建立方法

为建立某一飞行科目的模板样本集,提出一套基于神经网络和卡尔曼滤波的数据处理方法。任选一次试飞样本,建立Kohonen自组织神经网络进行参数降维、聚类分析、特征提取等,使样本量缩减90%以上,得到该科目的模板样本集。用处理后的样本训练BP神经网络,对其他未经处理的试飞样本进行载荷预测,误差均在3%之内,说明处理后的样本能代表该科目的数据特点,即为模板样本集。方法可以为飞机载荷监控数据库的完善工作服务。     

航空电子企业中数据挖掘技术的应用

以Oracle数据库为源头在微软SQL Server Analysis Services平台上通过建立数据挖掘模型并在航空电子企业中得到实践与应用。     

推进剂重定位过程仿真与分析

为了拓展低温上面级滑行时间，满足深空探测任务需求以及提升运载火箭任务适应性，中国未来型号研制将采用间歇沉底的方案，其主要难点是推进剂重定位过程的研究。本文针对目前重定位仿真多为二维CFD仿真且不能准确合理地预示气泡逸出过程的问题，提出一种基于Flow-3D的三维CFD仿真方法。该方法采用卷气体积与液体体积之比（卷气率）预示气泡逸出过程，比以往采用气泡粒子数预示气泡逸出过程的方法更为合理准确。重定位及气泡逸出过程的仿真结果与半人马座落塔试验的结果具有一致性，捕捉到了重定位过程所有特征流型，且对应时刻误差不超过10%。仿真结果表明间歇沉底推进剂管理方案的可行性，并确定了某低温上面级的相关设计参数。     

A heuristic cabin-type component alignment method based on multi-source data fusion

In cabin-type component alignment, digital measurement technology is usually adopted to provide guidance for assembly. Depending on the system of measurement, the alignment process can be divided into measurement-assisted assembly (MAA) and force-driven assembly. In MAA, relative pose between components is directly measured to guide assembly, while in force-driven assembly, only contact state can be recognized according to measured six-dimensional force and torque (6D F/T) and the process is completed based on preset assembly strategy. Aiming to improve the efficiency of force-driven cabin-type component alignment, this paper proposed a heuristic alignment method based on multi-source data fusion. In this method, measured 6D F/T, pose data and geometric information of components are fused to calculate the relative pose between components and guide the movement of pose adjustment platform. Among these data types, pose data and measured 6D F/T are combined as data set. To collect the data sets needed for data fusion, dynamic gravity compensation method and hybrid motion control method are designed. Then the relative pose calculation method is elaborated, which transforms collected data sets into discrete geometric elements and calculates the relative poses based on the geometric information of components. Finally, experiments are conducted in simulation environment and the results show that the proposed alignment method is feasible and effective.     

可重复启动低温上面级的推进剂管理装置研究

回顾了低温上面级推进剂管理技术的国内外研究现状,分析了上面级微重力环境中低温推进剂管理涉及的液体蓄留、气液分离和局部热控等关键技术。开展了液氧贮箱推进剂管理装置的方案设计,并试验验证了可填充蓄液器的填充和下层板网的指定路径排气等关键功能,确认了方案的可行性。     

基于可靠性分析的立方星网络维护架构优化

立方星编队或星座构成分布式空间传感器网络，可提高立方星执行复杂空间任务的能力。然而立方星易发生故障，其故障时间不确定性也导致了传感器网络性能的不稳定，这凸显了对立方星网络进行在轨维护的重要性。考虑立方星传感器网络的功能维持问题，描述了一种网络维护架构，通过定期发射、在轨备份立方星以及时更换故障立方星，从而提高网络对单星随机失效事件的快速响应与恢复能力。建立了该架构的运行成本模型，包括固定成本、储存成本和短缺成本。收集整理了真实的立方星寿命数据，并使用最大化拟合优度参数估计方法得到最优立方星寿命的随机模型。采用基于蒙特卡罗仿真的遗传算法优化备用立方星的补给时刻和补给数量，在备份成本与系统性能下降所带来的损失之间进行权衡，使得系统的综合收益最优。     

An optimal selection of probability distribution functions for unsupervised land cover classification of PALSAR-2 data

Different types of classification techniques are available in the literature for the classification of Synthetic Aperture Radar (SAR) data into various land cover classes. Various SAR images are available for land cover classification such as ALOS PALSAR (PALSAR-1, PALSAR-2), RADARSAT and ENVISAT. In this paper, we have attempted to explore probability distribution function (pdf) based land cover classification using PALSAR-2 data. Over 20 different statistical distribution functions are analyzed for different classes based on statistical parameters. Probability distribution functions are selected based on Chi-squared goodness of fit test for each individual class. A decision tree based classifier is developed for classification based on the selected pdf functions and its statistical parameters. The proposed classification approach has an accuracy of 83.93%.     

单人制机组资源管理(SRM)的训练

针对SRM的背景和基本概念进行了分析和介绍,探讨了飞行员初始飞行训练中SRM的组成、训练方法和评估要点,为飞行员培养中SRM能力的训练和应用奠定了基础。