直升机旋翼标准桨叶的选定原则与方法研究

本文对直升机桨叶单片互换的原理进行了论述，对标准桨叶的确定原则以及实施方法进行了探讨，并结合直11型机标准桨叶选定工作的流程和结果，对所述方法进行了实例分析。     

高职高专院校建设数字化校园过程中应注意的问题

21世纪以来,数字化和信息化成为现代社会的主要标志。高职高专院校为了提高自己的管理水平,跟上时代的步伐,也都在着手数字化校园的建设。本文从数字化校园的基本概念入手,介绍数字化校园的组成、建设内容、建设步骤以及建设过程中应注意的问题,并给出了数字化校园的基本模型。     

分布式计算机技术在飞机非标测控设备中的应用和实现

在研究、分析和总结分布式计算机技术与系统实现的基础上，以苏-27战斗机火控雷达天线部件性能测控系统研制过程为例，详细论述了分布式计算机测控系统的实现模式，介绍了一种先进合理的非标测控设备设计解决方案和快捷、低成本的系统实用集成方案。     

浅析ISO9000：2000族标准

简要介绍了ISO9000：3000簇质量管理体系标准修订的基本情况，分析了修订的基本原则，阐述了与1994版比较的主要特征和内容变化。     

正态分位点的矩阵算法浅析

假设标准正态的t分位点记为z(t),本文将根据z(t)的Taylor展开式中各个系数之间的矩阵递推关系,给出一种计算z(t)的近似值的方法,并给出具体的程序运算来验证本文的结论.     

小卫星非常规动力学分析与控制

针对小卫星研制中出现的一些非常规动力学问题进行研究,并提出解决办法。针对小卫星组件最大冲击谱量级超出常规冲击试验规范谱的分析与验证困难,通过研究提出了能够分析评估组件高量级冲击的方法。针对小卫星随机振动下强度设计方法还存在较大误差,分析了系统模态质量比与模态频率在一定频段的影响规律,认为忽略模态质量耦合会带来误差,提出了考虑模态质量耦合的准静态载荷计算方法。最后,针对小卫星整星开展了减振研究,分析了正弦和随机减振效果,对于对称安装减振系统,提出了减振系统的主频率计算公式。     

Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet)

In the last 20?years, and in particular in the last decade, the availability of propagation data for GNSS has increased substantially. In this sense, the ionosphere has been sounded with a large number of receivers that provide an enormous amount of ionospheric data. Moreover, the maturity of the models has also been increased in the same period of time. As an example, IGS has ionospheric maps from GNSS data back to 1998, which would allow for the correlation of these data with other quantities relevant for the user and space weather (such as Solar Flux and Kp). These large datasets would account for almost half a billion points to be analyzed. With the advent and explosion of Big Data algorithms to analyze large databases and find correlations with different kinds of data, and the availability of open source code libraries (for example, the TensorFlow libraries from Google that are used in this paper), the possibility of merging these two worlds has been widely opened. In this paper, a proof of concept for a single frequency correction algorithm based in GNSS GIM vTEC and Fully Connected Neural Networks is provided. Different Neural Network architectures have been tested, including shallow (one hidden layer) and deep (up to five hidden layers) Neural Network models. The error in training data of such models ranges from 50% to 1% depending on the architecture used. Moreover, it is shown that by adjusting a Neural Network with data from 2005 to 2009 but tested with data from 2016 to 2017, Neural Network models could be suitable for the forecast of vTEC for single frequency users. The results indicate that this kind of model can be used in combination with the Galileo Signal-in-Space (SiS) NeQuick G parameters. This combination provides a broadcast model with equivalent performances to NeQuick G and better than GPS ICA for the years 2016 and 2017, showing a 3D position Root Mean Squared (RMS) error of approximately 2?m.     

超宽带变频系统中的本振产生技术研究

本振源是超宽带变频系统中的核心部件，本文以超宽带上变频系统为例，介绍变频系统中本振信号的产生技术。本文所设计的超宽带变频系统，经过三次上变频，可将(0.8~2.8)GHz 的低频信号变换至（0.5~40）GHz。变频过程中需要一系列点频本振和一组宽带本振，基于PLL+DFS 的方法产生点频本振，基于DDS+DFS 的方式产生宽带本振。     

DDS中相位截断效应分析及其改善方法

分析了在直接数字频率合成（ＤＤＳ）中引起杂散的相位截断效应,针对其引起的杂散特点讨论了一种通过加入伪随机数改善杂散谱分布的方法,并通过计算机仿真进行了验证。     

数据中继卫星的频率和轨道

描述了典型数据中继卫星系统的通信链路;给出了这些系统在用的和计划使用的无线电频谱;讨论了影响数据中继卫星频段选择的因素。为了防止其他中继卫星系统对一个中继卫星系统的有害干扰,可以使用如频率错开、极化分辨、经度分离,甚至采用伪码分辨的方法。