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STA/LTA trigger algorithm implementation on a seismological dataset using Hadoop MapReduce

Choubik, YounessMahmoudi, AbdelhakMajid Himmi, MohammedEl Moudnib, Lahcen
IAES International Journal of Artificial Intelligence (IJ-AI) (Sinta 1)Vol. 0 No. 01 Juni 2020
DOI10.11591/ijai.v9.i2.pp269-275

Abstrak

In this work we implemented STA/LTA trigger algorithm, which is widely used in seismic detection, using Hadoop MapReduce. Thisimplementation allows to find out how effective it is in this type of tasks as well as to accelerate the detection process by reducing the processing time. We tested our implementation on a seismological dataset of 14 broadband seismic stations and compare it with the traditional one. The results show that MapReduce decreased the processing time by 34% compared to the traditional implementation.

Kata Kunci

Big data, Hadoop, MapReduce, Seismic detection, STA/LTA

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STA/LTA trigger algorithm implementation on a seismological dataset using Hadoop MapReduce | IAES International Journal of Artificial Intelligence (IJ-AI) | Publiora