A swarm behaviour for jellyfish bloom detection
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Campo DC | Valor | Idioma |
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dc.contributor | Informática Industrial e Inteligencia Artificial | es_ES |
dc.contributor.author | Aznar Gregori, Fidel | - |
dc.contributor.author | Pujol, Mar | - |
dc.contributor.author | Rizo, Ramón | - |
dc.contributor.other | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial | es_ES |
dc.date.accessioned | 2017-05-30T11:06:13Z | - |
dc.date.available | 2017-05-30T11:06:13Z | - |
dc.date.issued | 2017-04-01 | - |
dc.identifier.citation | Ocean Engineering. 2017, 134: 24-34. doi:10.1016/j.oceaneng.2017.02.009 | es_ES |
dc.identifier.issn | 0029-8018 (Print) | - |
dc.identifier.issn | 1873-5258 (Online) | - |
dc.identifier.uri | http://hdl.handle.net/10045/66447 | - |
dc.description.abstract | In this paper we will deal with the issue of swarm behaviour for jellyfish detection using UAVs (unmanned aerial vehicles). Swarm behaviour is inspired by the functioning of biological swarms. They are characterized by being fully distributed, scalable and fault-tolerant. Initially, we will study the behaviour of jellyfish and their impact and interaction with industry. Motivated by the need to improve current detection systems, we will propose a swarm behaviour that will be formalized with a microscopic model. We will discuss both the convergence and the scalability of the model. Finally, a macroscopic model will be provided to predict the probability that an individual is placed in a position at a given moment. | es_ES |
dc.description.sponsorship | This work has been carried out by the project “Intelligent Swarm Systems of Unmanned Aerial Vehicles for Security and Surveillance” TIN2013-40982-R, Ministerio de Economía y Competitividad, Spain. Project co-financed with FEDER funds. | es_ES |
dc.language | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | © 2017 Elsevier Ltd. | es_ES |
dc.subject | Swarm behaviour | es_ES |
dc.subject | Jellyfish detection | es_ES |
dc.subject | Unmanned aerial vehicles | es_ES |
dc.subject.other | Ciencia de la Computación e Inteligencia Artificial | es_ES |
dc.title | A swarm behaviour for jellyfish bloom detection | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.1016/j.oceaneng.2017.02.009 | - |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.oceaneng.2017.02.009 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2013-40982-R | - |
Aparece en las colecciones: | INV - i3a - Artículos de Revistas |
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2017_Aznar_etal_OceanEngineering_final.pdf | Versión final (acceso restringido) | 777,89 kB | Adobe PDF | Abrir Solicitar una copia |
2017_Aznar_etal_OceanEngineering_preprint.pdf | Preprint (acceso abierto) | 2,18 MB | Adobe PDF | Abrir Vista previa |
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