Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Rivas Tucto, Jerson, Castillo Talexio, Nora, Shiguihara Juárez, Pedro
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/658505
Enlace del recurso:http://hdl.handle.net/10757/658505
Nivel de acceso:acceso embargado
Materia:Cold chain
Data visualization
Monitoring real-time information
https://purl.org/pe-repo/ocde/ford#2.11.00
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dc.title.es_PE.fl_str_mv Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
title Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
spellingShingle Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
Rivas Tucto, Jerson
Cold chain
Data visualization
Monitoring real-time information
https://purl.org/pe-repo/ocde/ford#2.11.00
title_short Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
title_full Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
title_fullStr Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
title_full_unstemmed Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
title_sort Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
author Rivas Tucto, Jerson
author_facet Rivas Tucto, Jerson
Castillo Talexio, Nora
Shiguihara Juárez, Pedro
author_role author
author2 Castillo Talexio, Nora
Shiguihara Juárez, Pedro
author2_role author
author
dc.contributor.author.fl_str_mv Rivas Tucto, Jerson
Castillo Talexio, Nora
Shiguihara Juárez, Pedro
dc.subject.es_PE.fl_str_mv Cold chain
Data visualization
Monitoring real-time information
topic Cold chain
Data visualization
Monitoring real-time information
https://purl.org/pe-repo/ocde/ford#2.11.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.00
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2022-01-12T15:34:54Z
dc.date.available.none.fl_str_mv 2022-01-12T15:34:54Z
dc.date.issued.fl_str_mv 2021-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 21903018
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-030-57548-9_51
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/658505
dc.identifier.eissn.none.fl_str_mv 21903026
dc.identifier.journal.es_PE.fl_str_mv Smart Innovation, Systems and Technologies
dc.identifier.eid.none.fl_str_mv 2-s2.0-85098133632
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85098133632
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21903018
10.1007/978-3-030-57548-9_51
21903026
Smart Innovation, Systems and Technologies
2-s2.0-85098133632
SCOPUS_ID:85098133632
0000 0001 2196 144X
url http://hdl.handle.net/10757/658505
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv https://www.springerprofessional.de/en/data-visualization-techniques-for-monitoring-real-time-informati/18685302
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv Springer Science and Business Media Deutschland GmbH
dc.source.es_PE.fl_str_mv Repositorio Academico - UPC
Universidad Peruana de Ciencias Aplicadas (UPC)
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Smart Innovation, Systems and Technologies
dc.source.volume.none.fl_str_mv 201
dc.source.beginpage.none.fl_str_mv 537
dc.source.endpage.none.fl_str_mv 544
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/658505/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
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repository.name.fl_str_mv Repositorio Académico UPC
repository.mail.fl_str_mv upc@openrepository.com
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spelling 5ef843fee6c676043c5eee9e12efccaa322026d4d668086a2e066a5399e65c719b9ff5d8b0e4a5fb8609e0b7e1badeb2Rivas Tucto, JersonCastillo Talexio, NoraShiguihara Juárez, Pedro2022-01-12T15:34:54Z2022-01-12T15:34:54Z2021-01-012190301810.1007/978-3-030-57548-9_51http://hdl.handle.net/10757/65850521903026Smart Innovation, Systems and Technologies2-s2.0-85098133632SCOPUS_ID:850981336320000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.Real-time monitoring of temperature is a critical factor in ensuring the integrity of food during the cold chain. In this work, we compare techniques related to real-time data visualization to contribute to more efficient monitoring of the cold chain. Three real-time data display attributes were evaluated, and we constructed a dataset based on the Frisbee database (CDD). In this paper, we proposed graphics containing different line and area techniques to be evaluated for a specialist. The proposed graphs contained the line and area techniques that, when performing the experiment, obtained a higher success rate compared to the auto-charting technique. However, it was evidenced that elements such as color facilitate the detection of anomalies and trends in temperature change due to its high percentage of effectiveness in the results.Revisión por paresapplication/htmlengSpringer Science and Business Media Deutschland GmbHhttps://www.springerprofessional.de/en/data-visualization-techniques-for-monitoring-real-time-informati/18685302info:eu-repo/semantics/embargoedAccessRepositorio Academico - UPCUniversidad Peruana de Ciencias Aplicadas (UPC)Smart Innovation, Systems and Technologies201537544reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCCold chainData visualizationMonitoring real-time informationhttps://purl.org/pe-repo/ocde/ford#2.11.00Data Visualization Techniques for Monitoring Real-Time Information of Cold Chaininfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/658505/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/658505oai:repositorioacademico.upc.edu.pe:10757/6585052025-10-30 07:41:48.863Repositorio Académico UPCupc@openrepository.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Data Visualization Techniques for Monitoring Real-Time Information of Cold Chain
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