| Autor: |
Sosa, Yair Mauad, Molina, Romina Soledad, Spagnotto, Silvana, Melchor, Iván, Nuñez Manquez, Alejandro, Crespo, Maria Liz, Ramponi, Giovanni, Petrino, Ricardo |
| Předmět: |
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| Zdroj: |
Electronics (2079-9292); Feb2024, Vol. 13 Issue 3, p622, 19p |
| Abstrakt: |
This study focused on seismic event detection in a volcano using machine learning by leveraging the advantages of software/hardware co-design for a system on a chip (SoC) based on field-programmable gate array (FPGA) devices. A case study was conducted on the Copahue Volcano, an active stratovolcano located on the border between Argentina and Chile. Volcanic 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 into the acquisition node, which can be valuable in scenarios where stations are deployed solely for data collection and holds the potential for the development of an early alert system. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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