dc.contributor.author | Kurnaz, Cetin | |
dc.contributor.author | Engiz, Begum Korunur | |
dc.contributor.author | Kayhan, Gokhan | |
dc.date.accessioned | 2020-06-21T13:26:57Z | |
dc.date.available | 2020-06-21T13:26:57Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-1-5386-1880-6 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12712/12676 | |
dc.description | 2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY | en_US |
dc.description | WOS: 000426868700126 | 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. | en_US |
dc.description.sponsorship | IEEE Turkey Sect, Anatolian Sci | en_US |
dc.language.iso | tur | en_US |
dc.publisher | Ieee | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Electric field strength (E) | en_US |
dc.subject | Base station | en_US |
dc.subject | Band selective E measurements | en_US |
dc.subject | Artificial neural network | 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.type | conferenceObject | en_US |
dc.contributor.department | OMÜ | en_US |
dc.relation.journal | 2017 International Artificial Intelligence and Data Processing Symposium (Idap) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |