e-Learning Web系统用户频率同步研究

R. Mosdorf, B. Ignatowska
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引用次数: 1

摘要

本文的目的是识别不同群体的电子学习系统用户之间发生的频率同步现象。分析了行政工作人员、教师和学生日常日志的时间变化情况。下面的分析:相关性,傅里叶和小波已被用于识别数据的性质。基于小波分析,提出了两混沌系统频率同步评价的新准则。利用改进的小波功率谱识别了网络学习系统中三组用户混沌行为之间的频率同步性。实验结果表明,该方法可用于分析电子学习系统中用户组频率同步现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Frequency Synchronization of e-Learning Web System Users
The aim of the paper was the identification of frequency synchronization phenomenon occurring between different groups of e-learning system users. The changes in time of daily logs of: administration workers, teachers and students have been analyzed. The following analyses: correlation, Fourier and wavelet have been used to identify the nature of data. Basing on the wavelet analysis it has been proposed the new criterion of evaluation of frequency synchronization of two chaotic systems. The modified wavelet power spectrum has been used to identify the frequency synchronization between chaotic behaviors of three groups of users of e-learning web system. Obtained results have shown that the proposed method is useful for analyzing the phenomena of frequency synchronization of user groups of e-learning system.
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