Publication: Determination of the Sources of Electric Field Strength in a Medium by Artificial Neural Network
| dc.authorscopusid | 16230640200 | |
| dc.authorscopusid | 43261063600 | |
| dc.authorscopusid | 35781802800 | |
| dc.contributor.author | Kurnaz, C. | |
| dc.contributor.author | Korunur Engiz, B.K. | |
| dc.contributor.author | Kayhan, Gokhan | |
| dc.date.accessioned | 2025-12-10T23:38:49Z | |
| dc.date.issued | 2017 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_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, Turkey | en_US |
| dc.description.abstract | This 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.doi | 10.1109/IDAP.2017.8090286 | |
| dc.identifier.isbn | 9781538618806 | |
| dc.identifier.scopus | 2-s2.0-85039919745 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1109/IDAP.2017.8090286 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/36038 | |
| dc.identifier.wosquality | N/A | |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute 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 -- 115012 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Artificial Neural Network | en_US |
| dc.subject | Band Selective E Measurements | en_US |
| dc.subject | Base Station | en_US |
| dc.subject | Electric Field Strength (E) | en_US |
| dc.subject | MLP | en_US |
| dc.title | Determination of the Sources of Electric Field Strength in a Medium by Artificial Neural Network | en_US |
| dc.title.alternative | Bir Ortamdaki Elektrik Alan Şiddetini Oluşturan Kaynakların Yapay Sinir Ağı Yardımıyla Belirlenmesi | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication |
