Publication:
Artificial Intelligence Supported Healthy Unit Hybrid Lighting Control

dc.contributor.authorsSolak, Gulcin; Kiyak, Ismail; Spor, Asli
dc.date.accessioned2022-03-12T16:24:07Z
dc.date.accessioned2026-01-10T21:15:32Z
dc.date.available2022-03-12T16:24:07Z
dc.date.issued2019
dc.description.abstractIn recent years, it has been stated that proper lighting control in hospitals and similar health institutions has positive effects on the patient and working health team. In this study, the intelligent lighting system was designed by using artificial intelligence for examination and observation rooms of a health institution. In this design, natural and artificial lighting hybrid systems are used to provide maximum benefit from natural lighting by using artificial neural networks. According to the results of the analysis, it is concluded that the daylight assisted system has positive effects on both the patients and healthcare workers who use these areas and that energy saving is achieved with high energy efficiency.
dc.identifier.doidoiWOS:000527444900039
dc.identifier.isbn978-1-7281-2874-0
dc.identifier.urihttps://hdl.handle.net/11424/226219
dc.identifier.wosWOS:000527444900039
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2019 3RD INTERNATIONAL CONFERENCE ON APPLIED AUTOMATION AND INDUSTRIAL DIAGNOSTICS (ICAAID 2019)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectHospital lighting
dc.subjectartificial neural networks
dc.subjectlight shelves
dc.subjecthybrid lighting systems
dc.titleArtificial Intelligence Supported Healthy Unit Hybrid Lighting Control
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.title2019 3RD INTERNATIONAL CONFERENCE ON APPLIED AUTOMATION AND INDUSTRIAL DIAGNOSTICS (ICAAID 2019)

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