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dc.contributor.authorKurnaz, Cetin
dc.contributor.authorEngiz, Begum Korunur
dc.contributor.authorKayhan, Gokhan
dc.date.accessioned2020-06-21T13:26:57Z
dc.date.available2020-06-21T13:26:57Z
dc.date.issued2017
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.urihttps://hdl.handle.net/20.500.12712/12676
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.descriptionWOS: 000426868700126en_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.en_US
dc.description.sponsorshipIEEE Turkey Sect, Anatolian Scien_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectElectric field strength (E)en_US
dc.subjectBase stationen_US
dc.subjectBand selective E measurementsen_US
dc.subjectArtificial neural networken_US
dc.subjectMLPen_US
dc.titleDetermination of the Sources of Electric Field Strength in a Medium by Artificial Neural Networken_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.relation.journal2017 International Artificial Intelligence and Data Processing Symposium (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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