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Journals / European Journal of Technique / 2019 / Cilt: 9 - Sayı: 1

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

Esin KARPAT
Muhammed Rafet BAKCAN
Mustafa Mohamedosman Abbaker IBRAHIM
Berkant ÇELİK
Ahmed Takieddine CHABBAR
Oğuzhan DOĞAN
Pages
1–12
Publication Date
2022-10-12
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The measured electric field values, estimated electricfield values, and national standard values are compared

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The measurement of the electric field and the magnetic field is significant inorder to determine electromagnetic pollution level compared to standards.In Turkey, electric field limit value, which is emitted by base station is 13.5V/m for one mobile communication operator.
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Key Findings & Data:In addition, according to theregulation of medical devices, the limit of electric field value inside thehospital, where the medical devices are located, is 3 V/m.
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Conclusion & Impact:The measured electric field values, estimated electricfield values, and national standard values are compared
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The measurement of the electric field and the magnetic field is significant inorder to determine electromagnetic pollution level compared to standards.In Turkey, electric field limit value, which is emitted by base station is 13.5V/m for one mobile communication operator. In addition, according to theregulation of medical devices, the limit of electric field value inside thehospital, where the medical devices are located, is 3 V/m. In this study, themeasurement and evaluation of electromagnetic pollution inside and outsidethe Bursa Uludag University hospital building are performed and itscompliance with national and international standards is examined.Moreover, the distribution of electric field in the environment is estimated bythe artificial neural network and fuzzy logic methods considering themeasurement results. The measured electric field values, estimated electricfield values, and national standard values are compared

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Cite This Article

KARPAT, E., BAKCAN, M. R., IBRAHIM, M. M. A., ÇELİK, B., CHABBAR, A. T., DOĞAN, O. (2022). ESTIMATING BASE STATION-BASED INDOOR AND OUTDOOR ELECTRIC FIELD LEVELS BY ARTIFICIAL NEURAL NETWORKS. European Journal of Technique, Cilt: 9 - Sayı: 1, 1–12. https://ajindex.com/articles/512061

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