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An intelligent environment application case to manage comfort preferences, at an University residence

2024Comunicação em conferência Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorOliveira, Pedro Filipe
dc.contributor.authorMatos, Paulo
dc.date.accessioned2026-03-03T09:16:20Z
dc.date.available2026-03-03T09:16:20Z
dc.date.issued2024
dc.description.abstractThis paper presents a novel application of intelligent environmental management within a university residence, aiming to enhance the overall well-being and satisfaction of residents by dynamically addressing their comfort preferences. The proposed system leverages cutting-edge technologies such as Internet of Things (IoT) sensors, machine learning algorithms, and smart devices to create an adaptive and responsive living environment. Through real-time data collection and analysis, the system learns individual and collective comfort patterns, allowing for personalized adjustments to temperature, and other environmental factors. The study focuses on the development and implementation of the intelligent environment application, emphasizing user-centric design and seamless integration into daily life. Residents are empowered to set and modify their comfort preferences through a user-friendly interface, while the system continuously refines its understanding of these preferences over time. Additionally, the application considers energy e!ciency and sustainability, contributing to a greener and more resource-conscious university residence. The paper discusses the technical architecture of the intelligent environment application, including the deployment of sensors, data processing pipelines, and the communication infrastructure. Furthermore, it addresses privacy concerns by outlining robust security measures and anonymization techniques to protect user data. In conclusion, this paper contributes to the growing body of research on intelligent environments by showcasing a practical application tailored to university residence settings. The presented system not only prioritizes resident comfort but also aligns with the broader goals of sustainability and resource optimization, making it a valuable addition to smart living solutions in educational institutions.eng
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).
dc.identifier.citationOliveira, Pedro Filipe; Matos, Paulo (2024). An intelligent environment application case to manage comfort preferences, at an University residence. In Proceedings of the 2024 Computing Conference, Cham: Springer. 3, p. 36-45. ISBN 978-3-031-62269-4. DOI: 10.1007/978-3-031-62269-4_3
dc.identifier.doi10.1007/978-3-031-62269-4_3
dc.identifier.isbn978-3-031-62268-7
dc.identifier.isbn978-3-031-62269-4
dc.identifier.urihttp://hdl.handle.net/10198/35921
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationLA/P/0007/2021
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.ispartofIntelligent Computing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectIntelligent-environment
dc.subjectAmI
dc.subjectComfort-preferences
dc.subjectIoT
dc.subjectSustainability
dc.titleAn intelligent environment application case to manage comfort preferences, at an University residencepor
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardNumberUIDP/05757/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.endPage45
oaire.citation.startPage36
oaire.citation.titleProceedings of the 2024 Computing Conference
oaire.citation.volume3
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameOliveira
person.familyNameMatos
person.givenNamePedro Filipe
person.givenNamePaulo
person.identifierR-002-2BA
person.identifier.ciencia-id7E15-B360-5AD3
person.identifier.ciencia-idDD15-B2BC-3908
person.identifier.orcid0000-0002-2848-1606
person.identifier.orcid0000-0003-0010-4777
person.identifier.ridC-7882-2017
person.identifier.ridI-5726-2018
person.identifier.scopus-author-id57193342842
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication366423a8-26c3-4212-a243-0fbca5b50f09
relation.isAuthorOfPublication1cb6522c-6039-44d0-a14e-70f65930ef92
relation.isAuthorOfPublication.latestForDiscovery1cb6522c-6039-44d0-a14e-70f65930ef92
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublicationd0a17270-80a8-4985-9644-a04c2a9f2dff
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