Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation

This study focuses on volcano seismic event detection using machine learning, leveraging the advantages of software/hardware co-design for system on chip (SoC) based on field programmable gate array (FPGA) devices. The case study was the Copahue Volcano, an active stratovolcano located on the border...

ver descrição completa

Detalhes bibliográficos
Autores: Mauad Sosa, Yair, Molina, Romina Soledad, Spagnotto, Silvana Liz, Fernandez Melchor, Ivan, Nuñez Manquez, Alejandro Enrique, Crespo, Maria Liz, Ramponi, Giovanni, Petrino, Ricardo
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/231080
Acesso em linha:http://hdl.handle.net/11336/231080
Access Level:acceso abierto
Palavra-chave:Copahue Volcano
Machine Learning
Soc FPGA
seismic events
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
id AR_582d5b0cad7d544f86d4e6e8510f577d
oai_identifier_str oai:ri.conicet.gov.ar:11336/231080
network_acronym_str AR
network_name_str Argentina
repository_id_str
spelling Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge ImplementationMauad Sosa, YairMolina, Romina SoledadSpagnotto, Silvana LizFernandez Melchor, IvanNuñez Manquez, Alejandro EnriqueCrespo, Maria LizRamponi, GiovanniPetrino, RicardoCopahue VolcanoMachine LearningSoc FPGAseismic eventshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This study focuses on volcano seismic event detection using machine learning, leveraging the advantages of software/hardware co-design for system on chip (SoC) based on field programmable gate array (FPGA) devices. The case study was the Copahue Volcano, an active stratovolcano located on the border between Argentina and Chile. Volcano seismic event processing and detection were integrated into a PYNQ-based implementation by using a low-end SoC-FPGA device. We also provide insights into integrating an SoC-FPGA in the acquisition node, which can be valuable in scenarios where stations are deployed solely for data collection and holds the potential for developing an early alert system.Fil: Mauad Sosa, Yair. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Electrónica; ArgentinaFil: Molina, Romina Soledad. Università degli Studi di Trieste; ItaliaFil: Spagnotto, Silvana Liz. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Geología; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Fernandez Melchor, Ivan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; ArgentinaFil: Nuñez Manquez, Alejandro Enrique. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Electrónica; ArgentinaFil: Crespo, Maria Liz. Università degli Studi di Trieste; ItaliaFil: Ramponi, Giovanni. Università degli Studi di Trieste; ItaliaFil: Petrino, Ricardo. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Electrónica; ArgentinaMDPI2024-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/231080Mauad Sosa, Yair; Molina, Romina Soledad; Spagnotto, Silvana Liz; Fernandez Melchor, Ivan; Nuñez Manquez, Alejandro Enrique; et al.; Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation; MDPI; Electronics; 13; 3; 2-2024; 1-192079-9292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2079-9292/13/3/622info:eu-repo/semantics/altIdentifier/doi/10.3390/electronics13030622info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:38:40Zoai:ri.conicet.gov.ar:11336/231080instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 13:38:41.174CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
title Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
spellingShingle Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
Mauad Sosa, Yair
Copahue Volcano
Machine Learning
Soc FPGA
seismic events
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
title_short Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
title_full Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
title_fullStr Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
title_full_unstemmed Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
title_sort Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
dc.creator.none.fl_str_mv Mauad Sosa, Yair
Molina, Romina Soledad
Spagnotto, Silvana Liz
Fernandez Melchor, Ivan
Nuñez Manquez, Alejandro Enrique
Crespo, Maria Liz
Ramponi, Giovanni
Petrino, Ricardo
author Mauad Sosa, Yair
author_facet Mauad Sosa, Yair
Molina, Romina Soledad
Spagnotto, Silvana Liz
Fernandez Melchor, Ivan
Nuñez Manquez, Alejandro Enrique
Crespo, Maria Liz
Ramponi, Giovanni
Petrino, Ricardo
author_role author
author2 Molina, Romina Soledad
Spagnotto, Silvana Liz
Fernandez Melchor, Ivan
Nuñez Manquez, Alejandro Enrique
Crespo, Maria Liz
Ramponi, Giovanni
Petrino, Ricardo
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Copahue Volcano
Machine Learning
Soc FPGA
seismic events
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
topic Copahue Volcano
Machine Learning
Soc FPGA
seismic events
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
description This study focuses on volcano seismic event detection using machine learning, leveraging the advantages of software/hardware co-design for system on chip (SoC) based on field programmable gate array (FPGA) devices. The case study was the Copahue Volcano, an active stratovolcano located on the border between Argentina and Chile. Volcano seismic event processing and detection were integrated into a PYNQ-based implementation by using a low-end SoC-FPGA device. We also provide insights into integrating an SoC-FPGA in the acquisition node, which can be valuable in scenarios where stations are deployed solely for data collection and holds the potential for developing an early alert system.
publishDate 2024
dc.date.none.fl_str_mv 2024-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/231080
Mauad Sosa, Yair; Molina, Romina Soledad; Spagnotto, Silvana Liz; Fernandez Melchor, Ivan; Nuñez Manquez, Alejandro Enrique; et al.; Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation; MDPI; Electronics; 13; 3; 2-2024; 1-19
2079-9292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/231080
identifier_str_mv Mauad Sosa, Yair; Molina, Romina Soledad; Spagnotto, Silvana Liz; Fernandez Melchor, Ivan; Nuñez Manquez, Alejandro Enrique; et al.; Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation; MDPI; Electronics; 13; 3; 2-2024; 1-19
2079-9292
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2079-9292/13/3/622
info:eu-repo/semantics/altIdentifier/doi/10.3390/electronics13030622
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1799194885845155840
score 15,812429

Registos relacionados