Mostrar el registro sencillo del ítem

Artículo

dc.creatorMorales, Leonelaes
dc.creatorOnieva, Luises
dc.creatorPérez Mira, Venturaes
dc.creatorCortés, Pabloes
dc.date.accessioned2020-09-11T11:53:16Z
dc.date.available2020-09-11T11:53:16Z
dc.date.issued2020-05
dc.identifier.citationMorales, L., Onieva, L., Pérez Mira, V. y Cortés Achedad, P. (2020). Using Fuzzy Logic Algorithms and Growing Hierarchical Self-Organizing Maps to Define Efficient Security Inspection Strategies in a Container Terminal. International Journal of Computational Intelligence Systems, 13 (1), 604-623.
dc.identifier.issn1875-6883es
dc.identifier.issn1875-6891es
dc.identifier.urihttps://hdl.handle.net/11441/100989
dc.description.abstractMaritime transport is one of the oldest methods of moving various types of goods, and it continues to have an important role in our modern society. More than 20 million containers are transported across the oceans daily. However, this form of transportation is constantly threatened by illegal operations, such as the smuggling of goods or people and merchandise theft. Port security departments must be prepared to face the different threats and challenges that accompany the use of innovative techniques and devices to achieve efficient inspection strategies. Two inspection strategies are presented in this study. The first strategy is based on fuzzy logic (FL), and the second strategy is based on the growing hierarchical self-organizing map (GHSOM) approach. The weight variation and security index (SI) of a container and the readings from certain technologies, such as radio-frequency identification (RFID) and X-ray scanning, are considered as the input data. To minimize the inspection time and considering the costs associated with the security inspections of containers, the results of both inspection strategies are compared and analyzed. The findings indicate there is potential for improving the effectiveness of security inspections by employing both techniques, and the specific relevance in the case of GHSOMs is discussed.es
dc.description.sponsorshipPrograma Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad - “Estrategias de diseño microelectronico para IOT en escenarios hostiles” TEC2016-80396-C2-2-Res
dc.formatapplication/pdfes
dc.format.extent20 p.es
dc.language.isoenges
dc.publisherAtlantis Presses
dc.relation.ispartofInternational Journal of Computational Intelligence Systems, 13 (1), 604-623.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPort: Security inspectiones
dc.subjectContainer terminales
dc.subjectFuzzy logices
dc.subjectGrowing hierarchical self-organizing mapes
dc.titleUsing Fuzzy Logic Algorithms and Growing Hierarchical Self-Organizing Maps to Define Efficient Security Inspection Strategies in a Container Terminales
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas IIes
dc.relation.projectIDTEC2016-80396-C2-2-Res
dc.relation.publisherversionhttps://www.atlantis-press.com/journals/ijcis/125940724es
dc.identifier.doi10.2991/ijcis.d.200430.001es
dc.contributor.groupUniversidad de Sevilla. TEP127: Ingeniería de Organizaciónes
dc.journaltitleInternational Journal of Computational Intelligence Systemses
dc.publication.volumen13es
dc.publication.issue1es
dc.publication.initialPage604es
dc.publication.endPage623es

FicherosTamañoFormatoVerDescripción
IJCIS_2020_Morales_Onieva_using ...10.47MbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional