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Publication:
Determination of the Sources of Electric Field Strength in a Medium by Artificial Neural Network

dc.authorscopusid16230640200
dc.authorscopusid43261063600
dc.authorscopusid35781802800
dc.contributor.authorKurnaz, C.
dc.contributor.authorKorunur Engiz, B.K.
dc.contributor.authorKayhan, Gokhan
dc.date.accessioned2025-12-10T23:38:49Z
dc.date.issued2017
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Kurnaz] Çetin, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Korunur Engiz] Begüm, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kayhan] Gökhan, Bilgisayar Mühendisliǧi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractThis study aims to determine total electric field strength (E) levels and its main sources in Samsun city center. To reach this goal extensive E and band selective E measurements were performed using Narda SRM 3006. The measurements were collected on the busiest streets of Samsun city during a journey of more than two hours on a vehicle moving with a certain velocity. On the basis of over 700 measurements E and E sources within the band were determined. It is seen from the results that the main sources of E were the base stations that operates at GSM900, GSM1800 and UMTS frequency bands. Because of difficulties encountered in band selective measurements (need for specific and expensive meters); a model that helps to obtain the three band selective Es in terms of E was proposed, and its performance was improved by using multilayer perceptron (MLP) artificial neural network system. With the use of this model; E levels of the three main sources can be determined from E in the environment up to 95% accuracy. © 2017 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2017.8090286
dc.identifier.isbn9781538618806
dc.identifier.scopus2-s2.0-85039919745
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/IDAP.2017.8090286
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36038
dc.identifier.wosqualityN/A
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 2017-09-16 through 2017-09-17 -- Malatya -- 115012en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectBand Selective E Measurementsen_US
dc.subjectBase Stationen_US
dc.subjectElectric Field Strength (E)en_US
dc.subjectMLPen_US
dc.titleDetermination of the Sources of Electric Field Strength in a Medium by Artificial Neural Networken_US
dc.title.alternativeBir Ortamdaki Elektrik Alan Şiddetini Oluşturan Kaynakların Yapay Sinir Ağı Yardımıyla Belirlenmesien_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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