Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study

Autores
Lovay, Mónica; Peretti, Gabriela; Romero, Eduardo; Marqués, Carlos
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This work addresses the problem of providing fault tolerance to an eighth order low-pass filter, employing the principles of evolvable hardware. The filter under study is implemented through the cascade connection of four biquadratic filters in a field programmable analog device. The reconfiguration process of the filter involves the execution of a genetic algorithm (GA) in an external computer, after a fault detected. To perform the test of the filter, we assume that the method of transient analysis is applied. The GA performance is evaluated by fault simulation, employing a parametric fault model. The fault simulation results show that GA finds solutions that meet the established restrictions and presents relatively short run times.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Evolvable hardware
Adaptive filter
Genetic algorithms
Programmable devices
Multi-objective optimization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/123797
Acceder
id SEDICI_06577abfc4ae2a3623d360fbc01c9908
oai_identifier_str oai:sedici.unlp.edu.ar:10915/123797
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Fault-tolerant Filter based on an Evolvable Hardware Technique : A case studyLovay, MónicaPeretti, GabrielaRomero, EduardoMarqués, CarlosCiencias InformáticasEvolvable hardwareAdaptive filterGenetic algorithmsProgrammable devicesMulti-objective optimizationThis work addresses the problem of providing fault tolerance to an eighth order low-pass filter, employing the principles of evolvable hardware. The filter under study is implemented through the cascade connection of four biquadratic filters in a field programmable analog device. The reconfiguration process of the filter involves the execution of a genetic algorithm (GA) in an external computer, after a fault detected. To perform the test of the filter, we assume that the method of transient analysis is applied. The GA performance is evaluated by fault simulation, employing a parametric fault model. The fault simulation results show that GA finds solutions that meet the established restrictions and presents relatively short run times.Sociedad Argentina de Informática e Investigación Operativa2012-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf13-84http://sedici.unlp.edu.ar/handle/10915/123797enginfo:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/7_AST_2012.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:01:44Zoai:sedici.unlp.edu.ar:10915/123797Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:01:44.91SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study
title Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study
spellingShingle Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study
Lovay, Mónica
Ciencias Informáticas
Evolvable hardware
Adaptive filter
Genetic algorithms
Programmable devices
Multi-objective optimization
title_short Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study
title_full Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study
title_fullStr Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study
title_full_unstemmed Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study
title_sort Fault-tolerant Filter based on an Evolvable Hardware Technique : A case study
dc.creator.none.fl_str_mv Lovay, Mónica
Peretti, Gabriela
Romero, Eduardo
Marqués, Carlos
author Lovay, Mónica
author_facet Lovay, Mónica
Peretti, Gabriela
Romero, Eduardo
Marqués, Carlos
author_role author
author2 Peretti, Gabriela
Romero, Eduardo
Marqués, Carlos
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Evolvable hardware
Adaptive filter
Genetic algorithms
Programmable devices
Multi-objective optimization
topic Ciencias Informáticas
Evolvable hardware
Adaptive filter
Genetic algorithms
Programmable devices
Multi-objective optimization
dc.description.none.fl_txt_mv This work addresses the problem of providing fault tolerance to an eighth order low-pass filter, employing the principles of evolvable hardware. The filter under study is implemented through the cascade connection of four biquadratic filters in a field programmable analog device. The reconfiguration process of the filter involves the execution of a genetic algorithm (GA) in an external computer, after a fault detected. To perform the test of the filter, we assume that the method of transient analysis is applied. The GA performance is evaluated by fault simulation, employing a parametric fault model. The fault simulation results show that GA finds solutions that meet the established restrictions and presents relatively short run times.
Sociedad Argentina de Informática e Investigación Operativa
description This work addresses the problem of providing fault tolerance to an eighth order low-pass filter, employing the principles of evolvable hardware. The filter under study is implemented through the cascade connection of four biquadratic filters in a field programmable analog device. The reconfiguration process of the filter involves the execution of a genetic algorithm (GA) in an external computer, after a fault detected. To perform the test of the filter, we assume that the method of transient analysis is applied. The GA performance is evaluated by fault simulation, employing a parametric fault model. The fault simulation results show that GA finds solutions that meet the established restrictions and presents relatively short run times.
publishDate 2012
dc.date.none.fl_str_mv 2012-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/123797
url http://sedici.unlp.edu.ar/handle/10915/123797
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/7_AST_2012.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
13-84
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1842260514921512960
score 13.13397

Publicaciones similares