ESTIMATING BASE STATION-BASED INDOOR AND OUTDOOR ELECTRIC FIELD LEVELS BY ARTIFICIAL NEURAL NETWORKS

Authors : Esin KARPAT, Muhammed Rafet BAKCAN, Ahmed Takieddine CHABBAR, Mustafa Muhammedosman Abbaker İBRAHİM, Berkant ÇELİK, Oğuz DOĞAN

Pages : 1-12

Doi:10.36222/ejt.500040

View : 19 | Download : 12

Publication Date : 2019-06-30

Article Type : Research Paper

Abstract :The measurement of the electric field and the magnetic field is significant in order to determine electromagnetic pollution level compared to standards. In Turkey, electric field limit value, which is emitted by base station is 13.5 V/m for one mobile communication operator. In addition, according to the regulation of medical devices, the limit of electric field value inside the hospital, where the medical devices are located, is 3 V/m. In this study, the measurement and evaluation of electromagnetic pollution inside and outside the Bursa Uludag University hospital building are performed and its compliance with national and international standards is examined. Moreover, the distribution of electric field in the environment is estimated by the artificial neural network and fuzzy logic methods considering the measurement results. The measured electric field values, estimated electric field values, and national standard values are compared.
Keywords : Electromagnetic pollution, Electrical field, artificial neural network, fuzzy logic, prediction