The Luminance Estimation of Basketball Halls Using Machine Learning Methods

Basit Öğe Kaydı
dc.contributor.authorÜncü, İsmail Serkan
dc.contributor.authorKayakuş, Mehmet
dc.date.accessioned2023-04-10T20:25:53Z
dc.date.available2023-04-10T20:25:53Z
dc.date.issued2020
dc.departmentRektörlük, Rektörlüğe Bağlı Birimler, Düzce Üniversitesi Dergilerien_US
dc.description.abstractIndoor sports halls are places in which artificial lighting is needed and lighting should be monitored in order toprovide a healthy sports environment. It is of utmost importance for maintaining player performances and theirhealth and the visual ability and comfort of the spectator watching matches on TV. Lighting should bemaintained and monitored in a planned manner starting from the construction period. It takes a long of period oftime to perform measurements using point measuring tools in indoor sports halls. In this study, the luminanceestimation of an indoor sports hall was made using machine learning techniques in order to find a solution to thisproblem. In order to form the data set, 91 reference points were identified according to the standards in the sportshall. The luminance of these points was measured and pixel values of these points (R, G, B) were identified onthe photograph taken. 91 reference points were randomly categorized as training data (70%) and test data (30%).In the study, Probabilistic Neural Network (PNN) and Support Vector Machine (SVM) techniques were used asmachine learning methods. The mean square error (MSE), the root mean square error (RMSE), the correlationcoefficient and the accuracy rate methods were used in order to test the success rate of these techniques.en_US
dc.identifier.doi10.29130/dubited.724759
dc.identifier.endpage2479en_US
dc.identifier.issn2148-2446
dc.identifier.issue4en_US
dc.identifier.startpage2468en_US
dc.identifier.trdizinid390855en_US
dc.identifier.urihttp://doi.org/10.29130/dubited.724759
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/390855
dc.identifier.urihttps://hdl.handle.net/20.500.12684/11679
dc.identifier.volume8en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofDüzce Üniversitesi Bilim ve Teknoloji Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleThe Luminance Estimation of Basketball Halls Using Machine Learning Methodsen_US
dc.typeArticleen_US

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