Recursive sample-entropy method and its application for complexity observation of earth current

Shohei Shimizu, Koichi Sugisaki, Hiromitsu Ohmori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The effectiveness of Sample-Entropy was practically shown as the measure index of irregularity from time series, by the development of research to quantify complexity. This Sample-Entropy calculated from at least 100 sample points, can classify a various system which contains a deterministic chaos system and/or a stochastic system, and is strong against noise. Therefore it is applied to the wide fields such as the ecology, finance, the medical treatment, etc. In this paper, the recursive Sample-Entropy technique is proposed and it is applied to the earthquake forecast. The earthquake forecast is generally performed by using the vibration wave, however it is extremely short that time from the forecast to the occurrence. Then, in this research, I use the earth current data based on the technique called the VAN method that used an abnormal earth current that is the one of the macroscopic anomalies that the difference of time until the earthquake occurrence is long. As a result, it is confirmed that there is a possibility that the precursor of an earthquake are able to be observed in real time.

Original languageEnglish
Title of host publication2008 International Conference on Control, Automation and Systems, ICCAS 2008
Pages1250-1253
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 1
Externally publishedYes
Event2008 International Conference on Control, Automation and Systems, ICCAS 2008 - Seoul, Korea, Republic of
Duration: 2008 Oct 142008 Oct 17

Publication series

Name2008 International Conference on Control, Automation and Systems, ICCAS 2008

Other

Other2008 International Conference on Control, Automation and Systems, ICCAS 2008
Country/TerritoryKorea, Republic of
CitySeoul
Period08/10/1408/10/17

Keywords

  • Earth current
  • Earthquake
  • Sample-entropy

ASJC Scopus subject areas

  • Control and Systems Engineering

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