Publication:
Measurement and prediction of electromagnetic radiation exposure level in a university

dc.contributor.buuauthorKarpat, Esin
dc.contributor.buuauthorKARPAT, ESİN
dc.contributor.buuauthorBakcan, M. Rafet
dc.contributor.departmentBursa Uludağ Üniversitesi/Mühendislik Fakültesi/Elektrik ve Elektronik Mühendisliği Bölümü.
dc.date.accessioned2024-11-05T07:58:34Z
dc.date.available2024-11-05T07:58:34Z
dc.date.issued2022-02-01
dc.description.abstractThe importance of electromagnetic (EM) sources in human life has been increasing with the development of technology. EM radiation triggers some problems in our life such as EM interference and human health problems. EM radiation level which is emitted by the base station increases in proportion to the density of population in a region. EM exposure is higher in areas where people are highly concentrated such as hospitals, military barracks, schools, shopping malls, than in any other region. It is important to show sustained concern about the EM radiation intensity in these areas to keep the levels under the permissible limits. In this study, electric field values are measured statically at locations where the population density is too high, to examine the electric field intensity levels throughout the campus. Besides, two different artificial neural models (ANN) are developed to estimate the electric field values of random locations which are specific regions for electromagnetic exposure. Moreover, measurement results and estimated results are evaluated within the limits defined by national (ICTA) and international (ICNIRP) standards. Finally, the EM exposure map is constructed with data that is average electric field intensity versus measurement locations.
dc.identifier.doi10.17559/TV-20200418183308
dc.identifier.endpage455
dc.identifier.issn1330-3651
dc.identifier.issue2
dc.identifier.startpage449
dc.identifier.urihttps://doi.org/10.17559/TV-20200418183308
dc.identifier.urihttps://hdl.handle.net/11452/47424
dc.identifier.volume29
dc.identifier.wos000759852300013
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherUniv Osijek, Tech Fac
dc.relation.bapMH2018/1
dc.relation.journalTehnicki Vjesnik-technical Gazette
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMobile phone
dc.subjectPollution
dc.subjectFields
dc.subjectArtificial neural network
dc.subjectElectrical field
dc.subjectElectromagnetic radiation
dc.subjectElectromagnetic field measurement
dc.subjectPrediction method
dc.subjectScience & technology
dc.subjectTechnology
dc.subjectEngineering, multidisciplinary
dc.subjectEngineering
dc.titleMeasurement and prediction of electromagnetic radiation exposure level in a university
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication99e2dd84-0120-4c04-a2f5-3b242abc84f2
relation.isAuthorOfPublication.latestForDiscovery99e2dd84-0120-4c04-a2f5-3b242abc84f2

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