Publication:
Internet of things application in monitoring sick building syndrome

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dc.citedby4
dc.contributor.authorKalaithasan K.en_US
dc.contributor.authorRadzi N.A.M.en_US
dc.contributor.authorAbidin H.Z.en_US
dc.contributor.authorid57203460284en_US
dc.contributor.authorid57218936786en_US
dc.contributor.authorid52165115900en_US
dc.date.accessioned2023-05-29T06:50:36Z
dc.date.available2023-05-29T06:50:36Z
dc.date.issued2018
dc.description.abstractSick Building Syndrome (SBS) is a health condition whereby a patient is presented with either vague temporary symptoms such as fatigue, aches and sensitivity to odour or more significant temporary symptoms such as itchy eyes, skin rashes and nasal allergy when they are in a building. Numerous factors have been associated with SBS, but the lack of an accurate diagnosis for these symptoms make treatment more difficult, as risk of treating the patient with wrong diagnosis is relative when the cause root is not known. Thus, taking a preventive approach is a more viable solution to the problem. In this paper, a simple, mobile and cost efficient Internet of Things (IoT) based SBS system is proposed. The system is built using Raspberry Pi minicomputer that would then be integrated with an IoT middleware. The middleware would enable the user to monitor parameters that are to be tested; which are temperature, humidity, light, sound and dust. Three IoT middleware are used to evaluate which one works best for the SBS system proposed. The combination of recorded sensor data would then be used to determine whether or not the building is causing SBS to the occupant. The studies show that FavorIoT platform is the most suitable IoT platform to be used with the SBS system and the system has successfully identified whether or not a building is causing SBS. � 2018 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v12.i2.pp505-512
dc.identifier.epage512
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85051781680
dc.identifier.spage505
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051781680&doi=10.11591%2fijeecs.v12.i2.pp505-512&partnerID=40&md5=a493474140b60fcd597cc75e4f6c7a9a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23629
dc.identifier.volume12
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Hybrid Gold, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleInternet of things application in monitoring sick building syndromeen_US
dc.typeArticleen_US
dspace.entity.typePublication
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