Title:
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An FPGA-Based WASN for Remote Real-Time Monitoring of Endangered Species: A Case Study on the Birdsong Recognition of Botaurus stellaris
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Author:
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Hervás García, Marcos; Alsina Pagès, Rosa Maria; Alías Pujol, Francesc; Salvador Marín, Martí
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Other authors:
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Universitat Ramon Llull. La Salle |
Abstract:
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Fast environmental variations due to climate change can cause mass decline or even extinctions of species, having a dramatic impact on the future of biodiversity. During the last decade, different approaches have been proposed to track and monitor endangered species, generally based on costly semi-automatic systems that require human supervision adding limitations in coverage and time. However, the recent emergence of Wireless Acoustic Sensor Networks (WASN) has allowed non-intrusive remote monitoring of endangered species in real time through the automatic identification of the sound they emit. In this work, an FPGA-based WASN centralized architecture is proposed and validated on a simulated operation environment. The feasibility of the architecture is evaluated in a case study designed to detect the threatened Botaurus stellaris among other 19 cohabiting birds species in The Parc Natural dels Aiguamolls de l’Empordà |
Publication date:
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2017-06 |
Subject(s):
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Matrius de portes programables per l'usuari Seguiment ambiental Percepció auditiva Espècies amenaçades |
Rights:
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© L'autor/a
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons:http://creativecommons.org/licenses/by/4.0/ |
Pages:
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25 p. |
Document type:
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Article Article - Published version |
DOI:
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https://doi.org/10.3390/s17061331
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Published by:
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MDPI
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Publish at:
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Sensors. 2017, Vol.17 , No. 6
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