Research Article | OPEN ACCESS
GUI Based Computer Programs for Analyzing Dynamic Signals Detected from a Physical Earthquake Model
1Chung-Ru Wang, 1Yu-Chen Wei, 2Wen-Yi Hung and 1Chung-Jung Lee
1Department of Civil Engineering, National Central University, No. 300, Jhongda Road,
32001 Jhongli City, Taoyuan County, Taiwan
2National Center for Research on Earthquake Engineering, Taiwan
Research Journal of Applied Sciences, Engineering and Technology 2013 1:13-19
Received: August 10, 2012 | Accepted: September 03, 2012 | Published: June 05, 2013
Abstract
Many methods are available to be used as tools for data analysis, such as Fast Fourier Transform (FFT) and Hilbert Huang Transform (HHT). However, the raw data need to be pre-processed before applying those methods. To deal with considerable raw data, it should be processed in a fast and efficient way. In this research, the dynamic signal data are obtained from physical earthquake models. To process the huge amount of data is always complicated and time consuming. Customized GUI programs to pre-process and post-process data has been designed to make the raw signal data express its physical meaning rapid by a combination of the manual and automatic process. The research uses animations to display the signal change in time that the signal detected can be shown by a graph which is close to physical phenomena and makes the physical data meaning become more obvious.
Keywords:
Data processing, GUI (Graphical User Interface), physical earthquake model,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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