正相电离层骚扰研究

本文对我国五个电离层站月报资料中的正相电离层骚扰(f₀F₂增加)作了分析研究,获得了正相骚扰时空变化的规律性,地磁暴与正相电离层骚扰的关系.对正相电离层骚扰的机理也作了讨论.      

Using neural networks to determine the optimum solar input for the prediction of ionospheric parameters

Neural networks (NNs) are proving to be ideal tools for modeling the behaviour of the ionosphere. The NNs are trained using a database of archived data describing the relationship between the output parameter and an input space. The input space is designed from knowledge of those variables that affect the behaviour of the output parameter. For ionospheric parameters this input space would always include a solar variable due to the strong influence that the sun has on ionospheric behaviour.     

Modeling of 3-D Corotating Cosmic-Ray Structures in the Heliosphere

We present a brief review of the modeling of corotating 3-dimensional features in heliospheric cosmic rays. The model heliosphere incorporates a wavy current sheet and Corotating Interaction Regions (CIRs). We find that present models can qualitatively account for the observed extension of recurrent 26-day cosmic-ray variations to high heliospheric latitudes if perpendicular diffusion is significant. The recurrent enhancement of low-energy (MeV) particles accelerated at CIR-s is also shown to fit into this same picture.     

BPL长波授时信号传输时延的时间变化分析

由于GNSS系统的脆弱性,Loran-C/BPL系统作为GNSS系统的备份研究,受到国内外的重视,但如何获取高精度的传播时延一直是制约长波系统实现高精度授时的瓶颈。本文从测量角度出发分析路径时延的空间变化和时间变化,着重利用实际测量数据分析路径时延的时间变化规律。结果表明信号传播路径相似、且传播路径上天气变化相似的条件下相距100km内的用户其接收信号的传播时延时间变化规律基本相同,这为长波差分授时奠定基础。     

Effects of input method and display mode of situation map on early warning aircraft reconnaissance task performance with different information complexities

Early Warning Aircraft(EWA) are the main force for air detection and its Human-Machine Interface(HMI) should be designed to support task efficiency and safety. With the application of advanced input method and interface design in EWA, little is known about their actual usability in terms of human factors and ergonomics. The aim of this study was to investigate the effects of the input method and display mode of the situation map on EWA reconnaissance task performance with different information c...     

Uncertainty analysis of measured geometric variations in turbine blades and impact on aerodynamic performance

Inevitable geometric variations significantly affect the performance of turbines or even that of entire engines; thus, it is necessary to determine their actual characteristics and accurately estimate their impact on performance. In this study, based on 1781 measured profiles of a typical turbine blade, the statistical characteristics of the geometric variations and the uncertainty impact are analyzed, and some commonly used uncertainty modelling methods based on PrincipalComponent Analysis(PCA)...