Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals

Autores
Albert, Raymundo Jose; Marchi, Edgardo Jose; Galarza, Cecilia Gabriela
Año de publicación
2024
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper presents a novel method for sensing and classifying water content in dielectric materials. Moisture levels are obtained by non-invasive methods using digitally processed electromagnetic signals. Those signals are the scattering produced within the measured material when illuminated with an UltraWideband pulse. The pulse generation, signal detection, and discretization hardware was built on a custom design developed at INTI. The collected information is processed through a non-linear pipeline to finally perform classification according to the water content of the target. We show that the precision of the proposed sensing architecture is comparable with standard methods thatmay be invasive. As a non-invasive method, this new sensor has great potential for applications such as farming and construction industries, among others.
Fil: Albert, Raymundo Jose. Instituto Nacional de Tecnología Industrial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Marchi, Edgardo Jose. Instituto Nacional de Tecnología Industrial; Argentina
Fil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
13° Congreso Iberoamericano de Sensores
Argentina
Instituto Nacional de Tecnología Industrial
Materia
Non-Invasive Sensing
Classification
DSP
UltraWideband
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/255712
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband SignalsAlbert, Raymundo JoseMarchi, Edgardo JoseGalarza, Cecilia GabrielaNon-Invasive SensingClassificationDSPUltraWidebandhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents a novel method for sensing and classifying water content in dielectric materials. Moisture levels are obtained by non-invasive methods using digitally processed electromagnetic signals. Those signals are the scattering produced within the measured material when illuminated with an UltraWideband pulse. The pulse generation, signal detection, and discretization hardware was built on a custom design developed at INTI. The collected information is processed through a non-linear pipeline to finally perform classification according to the water content of the target. We show that the precision of the proposed sensing architecture is comparable with standard methods thatmay be invasive. As a non-invasive method, this new sensor has great potential for applications such as farming and construction industries, among others.Fil: Albert, Raymundo Jose. Instituto Nacional de Tecnología Industrial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marchi, Edgardo Jose. Instituto Nacional de Tecnología Industrial; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina13° Congreso Iberoamericano de SensoresArgentinaInstituto Nacional de Tecnología IndustrialInstituto Nacional de Tecnología Industrial2024info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/255712Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals; 13° Congreso Iberoamericano de Sensores; Argentina; 2024; 311-314978-950-532-547-4CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://app.inti.gob.ar/greenstone3/sites/localsite/collect/nuevadc/index/assoc/2024Mala/ttoL_pdf.dir/doc.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:43:50Zoai:ri.conicet.gov.ar:11336/255712instacron: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:34982025-09-03 09:43:50.726CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals
title Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals
spellingShingle Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals
Albert, Raymundo Jose
Non-Invasive Sensing
Classification
DSP
UltraWideband
title_short Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals
title_full Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals
title_fullStr Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals
title_full_unstemmed Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals
title_sort Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals
dc.creator.none.fl_str_mv Albert, Raymundo Jose
Marchi, Edgardo Jose
Galarza, Cecilia Gabriela
author Albert, Raymundo Jose
author_facet Albert, Raymundo Jose
Marchi, Edgardo Jose
Galarza, Cecilia Gabriela
author_role author
author2 Marchi, Edgardo Jose
Galarza, Cecilia Gabriela
author2_role author
author
dc.subject.none.fl_str_mv Non-Invasive Sensing
Classification
DSP
UltraWideband
topic Non-Invasive Sensing
Classification
DSP
UltraWideband
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents a novel method for sensing and classifying water content in dielectric materials. Moisture levels are obtained by non-invasive methods using digitally processed electromagnetic signals. Those signals are the scattering produced within the measured material when illuminated with an UltraWideband pulse. The pulse generation, signal detection, and discretization hardware was built on a custom design developed at INTI. The collected information is processed through a non-linear pipeline to finally perform classification according to the water content of the target. We show that the precision of the proposed sensing architecture is comparable with standard methods thatmay be invasive. As a non-invasive method, this new sensor has great potential for applications such as farming and construction industries, among others.
Fil: Albert, Raymundo Jose. Instituto Nacional de Tecnología Industrial; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Marchi, Edgardo Jose. Instituto Nacional de Tecnología Industrial; Argentina
Fil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
13° Congreso Iberoamericano de Sensores
Argentina
Instituto Nacional de Tecnología Industrial
description This paper presents a novel method for sensing and classifying water content in dielectric materials. Moisture levels are obtained by non-invasive methods using digitally processed electromagnetic signals. Those signals are the scattering produced within the measured material when illuminated with an UltraWideband pulse. The pulse generation, signal detection, and discretization hardware was built on a custom design developed at INTI. The collected information is processed through a non-linear pipeline to finally perform classification according to the water content of the target. We show that the precision of the proposed sensing architecture is comparable with standard methods thatmay be invasive. As a non-invasive method, this new sensor has great potential for applications such as farming and construction industries, among others.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/255712
Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals; 13° Congreso Iberoamericano de Sensores; Argentina; 2024; 311-314
978-950-532-547-4
CONICET Digital
CONICET
url http://hdl.handle.net/11336/255712
identifier_str_mv Non-Invasive Moisture Sensing and Classification Using Ultra-Wideband Signals; 13° Congreso Iberoamericano de Sensores; Argentina; 2024; 311-314
978-950-532-547-4
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://app.inti.gob.ar/greenstone3/sites/localsite/collect/nuevadc/index/assoc/2024Mala/ttoL_pdf.dir/doc.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Instituto Nacional de Tecnología Industrial
publisher.none.fl_str_mv Instituto Nacional de Tecnología Industrial
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
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
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score 13.13397

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