Electromagnetic Pollution and Electromagnetic Field Mapping in Hatay
Serkan Bulut1*, Yakup Hameş2, Gülnur Yılmaz3
1Iskenderun Technical University , Iskenderun, Turkey
2Iskenderun Technical University , Iskenderun, Turkey
3Iskenderun Technical University , Iskenderun, Turkey
* Corresponding author: bulutserkan@gmail.com
Presented at the International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA2019), Ürgüp, Turkey, Jul 05, 2019
SETSCI Conference Proceedings, 2019, 8, Page (s): 43-46 , https://doi.org/10.36287/setsci.4.5.010
Published Date: 12 October 2019
With the rapid development of technology and the importance of electronic devices in our lives, electromagnetic waves produced by various sources and the related electromagnetic pollution concepts have become an important issue that directly affects the nature and all microorganisms, especially people. Energy transmission lines, radio and television antennas, base stations and mobile phones, radars, radios, medical devices, microwave ovens, etc. have increased electromagnetic fields as the utilization rates of electromagnetic propagation devices increase. In this area, depending on the work done throughout the world that is a member of Turkey to determining the international standard ‘International Commission on Non-Ionizing Radiation Protection’ (ICNIRP) established is the electric field and magnetic field exposure limit values prepared by the commission is considered essential. The instructions issued by the Commission are decisive and binding, and it is foreseen that these limit values are a preventive factor for electromagnetic pollution. In this paper, it is aimed to measure the electromagnetic pollution in Hatay province, to compare with the limit values determined by national and international organizations and to map the electromagnetic field. At the end of the study, the regional measures to be protected from electromagnetic pollution will be discussed in detail.
Keywords - Electromagnetic waves, electromagnetic pollution, electromagnetic field measurements, region-based mapping
[1] J. Wan, J. Yang, Z. Wang, and Q. Hua, "Artificial Intelligence for Cloud-Assisted Smart Factory," IEEE Access, vol. 6, pp. 55419-55430, 2018.
[2] Y. Lin, Y. Lin, and C. Liu, "AItalk: a tutorial to implement AI as IoT devices," IET Networks, vol. 8, no. 3, pp. 195-202, 5 2019.
[3] A. El-Mougy, I. Al-Shiab, and M. Ibnkahla, "Scalable Personalized IoT Networks," Proceedings of the IEEE, vol. 107, no. 4, pp. 695-710, April 2019.
[4] A. Rego, A. Canovas, J. M. Jiménez, and J. Lloret, "An Intelligent System for Video Surveillance in IoT Environments," IEEE Access, vol. 6, pp. 31580-31598, 2018.
[5] A. H. Sodhro, S. Pirbhulal, and V. H. C. de Albuquerque, "Artificial Intelligence-Driven Mechanism for Edge Computing-Based Industrial Applications," IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 4235-4243, July 2019.
[6] J. Li, Z. Zhao, R. Li, and H. Zhang, "AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2093-2102, April 2019.
[7] M. Shen, B. Ma, L. Zhu, X. Du, and K. Xu, "Secure Phrase Search for Intelligent Processing of Encrypted Data in Cloud-Based IoT," IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1998-2008, April 2019.
[8] M. Mohammadi, A. Al-Fuqaha, S. Sorour, and M. Guizani, "Deep Learning for IoT Big Data and Streaming Analytics: A Survey," IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp. 2923-2960, Fourthquarter 2018.
[9] J. Wan, J. Yang, Z. Wang, and Q. Hua, "Artificial Intelligence for Cloud-Assisted Smart Factory," IEEE Access, vol. 6, pp. 55419-55430, 2018.
[10] M. R. Palattella et al., "Internet of Things in the 5G Era: Enablers, Architecture, and Business Models," IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 510-527, March 2016.
[11] A. Siddiqa et al., "Social Internet of Vehicles: Complexity, Adaptivity, Issues and Beyond," IEEE Access, vol. 6, pp. 62089-62106, 2018.
[12] C. Mao, M. Khalily, P. Xiao, T. W. C. Brown, and S. Gao, "Planar Sub-Millimeter-Wave Array Antenna With Enhanced Gain and Reduced Sidelobes for 5G Broadcast Applications," IEEE Transactions on Antennas and Propagation, vol. 67, no. 1, pp. 160-168, Jan. 2019.
[13] Y. Zhang, J. Deng, M. Li, D. Sun, and L. Guo, "A MIMO Dielectric Resonator Antenna With Improved Isolation for 5G mm-Wave Applications," IEEE Antennas and Wireless Propagation Letters, vol. 18, no. 4, pp. 747-751, April 2019.
[14] Y. Ban, C. Li, C. Sim, G. Wu, and K. Wong, "4G/5G Multiple Antennas for Future Multi-Mode Smartphone Applications," IEEE Access, vol. 4, pp. 2981-2988, 2016.
[15] J. Zeng, and K. Luk, "Single-Layered Broadband Magnetoelectric Dipole Antenna for New 5G Application," IEEE Antennas and Wireless Propagation Letters, vol. 18, no. 5, pp. 911-915, May 2019.
[16] M. Ali et al., "First Demonstration of Compact, Ultra-Thin Low-Pass and Bandpass Filters for 5G Small-Cell Applications," IEEE Microwave and Wireless Components Letters, vol. 28, no. 12, pp. 1110-1112, Dec. 2018.
[17] K. Lee, S. Choi, and C. Kim, "A 25–30-GHz Asymmetric SPDT Switch for 5G Applications in 65-nm Triple-Well CMOS," IEEE Microwave and Wireless Components Letters, vol. 29, no. 6, pp. 391- 393, June 2019.
[18] S. Kim, J. Moon, I. Cho, J. Yoon, W. Byun, and H. Choi, "Advanced Power Control Scheme in Wireless Power Transmission for Human Protection From EM Field," IEEE Transactions on Microwave Theory and Techniques, vol. 63, no. 3, pp. 847-856, March 2015.
[19] A. Sannino et al., "Adaptive response in human blood lymphocytes exposed to non-ionizing radiofrequency fields: resistance to ionizing radiation-induced damage," Journal of Radiation Research, vol. 55, no. 2, pp. 210-217, March 2014.
[20] S. Lee et al., "Non-Ionized, High-Resolution Measurement of Internal and Marginal Discrepancies of Dental Prosthesis Using Optical Coherence Tomography," IEEE Access, vol. 7, pp. 6209-6218, 2019.
[21] R. D. Morris, L. L. Morgan, and D. Davis, "Children Absorb Higher Doses of Radio Frequency Electromagnetic Radiation From Mobile Phones Than Adults," IEEE Access, vol. 3, pp. 2379-2387, 2015.
[22] D. Senic, A. Sarolic, C. L. Holloway, and J. M. Ladbury, "WholeBody Specific Absorption Rate Assessment of Lossy Objects Exposed to a Diffuse Field Inside a Reverberant Environment," IEEE Transactions on Electromagnetic Compatibility, vol. 59, no. 3, pp.813-822, June 2017.
[23] T. Alam, M. R. I. Faruque, and M. T. Islam, "Specific absorption rate reduction of multi-standard mobile antenna with double-negative metamaterial," Electronics Letters, vol. 51, no. 13, pp. 970-971, 25 6 2015.
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