Using the radial basis function neural network to predict ionospheric critical frequency of F2 layer over Wuhan

Neural networks (NNs) have been applied to ionospheric predictions recently. This paper uses radial basis function neural network (RBF-NN) to forecast hourly values of the ionospheric F₂ layer critical frequency(f_oF₂), over Wuhan (30.5N, 114.3E), China. The false nearest neighbor method is used to determine the embedding dimension, and the principal component analysis (PCA) is used to reduce noise and dimension. The whole study is based on a sample of about 26,000 observations of f_oF₂ with 1-h time resolution, derived during the period from January 1981 to December 1983. The performance of RBF-NN is estimated by calculating the normalized root-mean-squared (NRMSE) error, and its results show that short-term predictions of f_oF₂ are improved.     

Comparison of ionospheric F2 peak parameters foF2 and hmF2 with IRI2001 at Hainan

Monthly median values of foF2, hmF2 and M(3000)F2 parameters, with quarter-hourly time interval resolution for the diurnal variation, obtained with DPS4 digisonde at Hainan (19.5°N, 109.1°E; Geomagnetic coordinates: 178.95°E, 8.1°N) are used to investigate the low-latitude ionospheric variations and comparisons with the International Reference Ionosphere (IRI) model predictions. The data used for the present study covers the period from February 2002 to April 2007, which is characterized by a wide range of solar activity, ranging from high solar activity (2002) to low solar activity (2007). The results show that (1) Generally, IRI predictions follow well the diurnal and seasonal variation patterns of the experimental values of foF2, especially in the summer of 2002. However, there are systematic deviation between experimental values and IRI predictions with either CCIR or URSI coefficients. Generally IRI model greatly underestimate the values of foF2 from about noon to sunrise of next day, especially in the afternoon, and slightly overestimate them from sunrise to about noon. It seems that there are bigger deviations between IRI Model predictions and the experimental observations for the moderate solar activity. (2) Generally the IRI-predicted hmF2 values using CCIR M(3000)F2 option shows a poor agreement with the experimental results, but there is a relatively good agreement in summer at low solar activity. The deviation between the IRI-predicted hmF2 using CCIR M(3000)F2 and observed hmF2 is bigger from noon to sunset and around sunrise especially at high solar activity. The occurrence time of hmF2 peak (about 1200 LT) of the IRI model predictions is earlier than that of observations (around 1500 LT). The agreement between the IRI hmF2 obtained with the measured M(3000)F2 and the observed hmF2 is very good except that IRI overestimates slightly hmF2 in the daytime in summer at high solar activity and underestimates it in the nighttime with lower values near sunrise at low solar activity.     

TC4钛合金的微动磨损及防护

对Ｔｉ－６Ａｌ－４Ｖ合金在１８℃，１００℃２５０℃下的微动磨损特性及防护工艺进行了研究。表明：该合金微动磨损的主要磨损形式是疲劳脱层，其磨损量随温度升高而下降，高渐微动磨损量与磨损区表面所形成的氧化层的性质及厚度有关。     

对统计MIMO雷达的噪声调频干扰功率分配研究

简要介绍多输入多输出雷达的信号模型及其目标检测方式,并针对其信号的独特形式在传统噪声调频的基础上提出一种改良的噪声调频干扰方式,进而通过仿真证明此改良干扰方式的有效性.     

一种双层微带反射阵天线单元设计及应用

微带反射阵单元是组成微带反射阵的基本元素,其性能的好坏直接影响整个阵列的性能。针对微带反射阵天线带宽窄的问题,设计一种双层结构的圆环单元,研究不同结构参数对单元相位曲线的相移范围、平滑度以及谐振点位置的影响,并设计一个49单元的微带平面反射阵。仿真结果表明,此阵列频带宽,增益高,具有一定的工程应用价值。     

《液压与气动》课程教学的方法的探讨

文章结合实际课程特点、教学对象和培养目标,以《液压传动与气动》的课堂教学为例,浅谈几点课程教学方法:精选教学内容;采用动画教学;采用引导教学和理论和实例结合等,这些方法有助于提高教学质量,推动现代课堂教学改革。     

首都航天机械公司集成制造系统顶层设计(制造单元系列之一)

针对首都航天机械公司(以下简称首航公司)研制生产中的“瓶颈”问题与国外先进制造企业进行了充分的对比,确定了“制造模式变革与数字化技术支撑”为首航公司集成制造系统顶层设计的核心内容,以制造单元、批生产线和数字化支撑为主线,介绍了首航公司集成制造系统顶层设计的基本情况。     

新型的超宽带正交接收系统幅相误差实时的数域均衡方法

文中对超宽带正交解调接收系统的幅相误差进行了分析,针对文[1]均衡方案的缺点,然后在此基础上针对系统超宽带的特点提出一种新的自适应实时数域均衡法。同时,针对系统超宽带的特点对串行算法进行了修改,提出一种适合于FPGA高速实现的流水算法。并对这两种算法进行了仿真比较。     

一种大容量100MHz数据采集记录系统的设计实现

本文提出一种实用的高速数据采集记录系统的设计方案,介绍该系统中各主要模块的功能与设计思路,讨论高速数据存储模块的设计,控制调度流程与高速数字电路设计相关处理方法。针对高速与大容量的数据采集特点,提出用存储速率受限的FLASH芯片来实现高速、大容量数据采集记录的设计方法。     

液冷头盔致冷效能的医学研究

在45℃高温条件下,应用液冷头盔给10名被试者的头颈部致冷,散热效能较高,可带走安静时30.9％～48.3％的代谢产热。降低身体的热蓄积,减少出汗,减慢心率、直肠温度和皮肤温度的上升速率。对头颈部致冷可降低身体的热紧张度50％～70％,明显改善对温热的舒适感觉。同时表明,致冷液温、流量及液流走向,对致冷效能均有显著影响。为液冷头盔及致冷装置的设计,提供了医学实验依据。