Publication:
Identification of factors affecting noise levels by using data mining and design of experiments analysis techniques: A novel experimental approach

dc.contributor.authorOrbak, Ali Yurdun
dc.contributor.authorAydın, Fikret Umut
dc.contributor.authorSharma, Shubham
dc.contributor.authorChohan, Jasgurpreet S.
dc.contributor.authorRajkumar, S.
dc.contributor.buuauthorORBAK, ALİ YURDUN
dc.contributor.buuauthorAydın, Fikret Umut
dc.contributor.departmentFen Bilimleri Enstitüsü
dc.contributor.researcheridM-9216-2014
dc.contributor.researcheridITL-4245-2023
dc.date.accessioned2024-10-30T12:02:14Z
dc.date.available2024-10-30T12:02:14Z
dc.date.issued2022-04-29
dc.description.abstractThe sounds that are high enough, which negatively affect our understanding, are called noise. Although students are one of the main sources of noise at schools, noise adversely affects students' success. Schools' acoustics and the time when the noise measurement is made are usually considered to be other reasons for noise. In this study, noise measurements are collected in several of a metropolitan city's primary and secondary schools, and factors that affect noise significantly are investigated using 2(3) full factorial experimental designs. In addition, school teachers' perception of noise is analyzed by the Apriori algorithm. Results indicate that noise values exceed the limit values set by the WHO and noise regulations currently in effect in Turkey. Also, the schools with no acoustic insulation were noisier than those with minimum insulation. From the Apriori analysis, it is concluded that female teachers are more sensitive than male teachers about noise annoyance.
dc.identifier.doi10.1177/14613484221091076
dc.identifier.eissn2048-4046
dc.identifier.endpage1090
dc.identifier.issn1461-3484
dc.identifier.issue3
dc.identifier.startpage1078
dc.identifier.urihttps://doi.org/10.1177/14613484221091076
dc.identifier.urihttps://journals.sagepub.com/doi/10.1177/14613484221091076
dc.identifier.urihttps://hdl.handle.net/11452/47194
dc.identifier.volume41
dc.identifier.wos000789438800001
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherSage Publications
dc.relation.journalJournal of Low Frequency Noise Vibration and Active Control
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.relation.tubitak114K738
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSchool-children
dc.subjectPerformance
dc.subjectNoise
dc.subjectNoise pollution
dc.subjectExperimental design
dc.subjectFull factorial experiments
dc.subjectData mining
dc.subjectScience & technology
dc.subjectTechnology
dc.subjectAcoustics
dc.titleIdentification of factors affecting noise levels by using data mining and design of experiments analysis techniques: A novel experimental approach
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentEndüstri Mühendisliği Bölümü
local.contributor.departmentFen Bilimleri Enstitüsü
relation.isAuthorOfPublicationae18a8e7-a6d4-448a-95fb-81b6a41b0577
relation.isAuthorOfPublication.latestForDiscoveryae18a8e7-a6d4-448a-95fb-81b6a41b0577

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Orbak_vd_2022.pdf
Size:
1022.13 KB
Format:
Adobe Portable Document Format

Collections