Advanced Technique for Assessment of Spatially Averaged Dosimetric Quantities on Nonplanar Surfaces

Code and files for my doctoral thesis "Advanced Technique for Assessment of Spatially Averaged Dosimetric Quantities on Nonplanar Surfaces."

To reproduce some of the results and visuals in the thesis, the easiest way is to first create a local environment using conda

conda create --name phd-thesis python=3.9.15

and, inside the environment, run the following command in python repository to install all dependencies

pip install -r requirements.txt

Other results are related to published papers, which the thesis itself is based on:

1. A. Kapetanovic and D. Poljak, "Assessment of Incident Power Density on Spherical Head Model up to 100 GHz," in IEEE Transactions on Electromagnetic Compatibility, vol. 64, no. 5, pp. 1296-1303, 2022, doi: 10.1109/TEMC.2022.3183071
2. A. Kapetanovic and D. Poljak, “Machine Learning-Assisted Antenna Modelling for Realistic Assessment of Incident Power Density on Nonplanar Surfaces above 6 GHz," in Radiation Protection Dosimetry, vol. 199, no. 8-9, pp. 826–834, 2023, doi: 10.1093/rpd/ncad114
3. A. Kapetanovic, G. Sacco, D. Poljak and M. Zhadobov, “Area-Averaged Transmitted and Absorbed Power Density on a Realistic Ear Model,” in IEEE Journal of Electromagnetics, RF, and Microwaves in Medicine and Biology, vol. 7, no. 1, pp. 39-45, 2023, doi: 10.1109/JERM.2022.3225380
4. M. Cvetkovic, D. Poljak, A. Kapetanovic and H. Dodig, “On the Applicability of Numerical Quadrature for Double Surface Integrals at 5G Frequencies,” in Journal of Communications Software and System, vol. 18, no. 1, pp. 42-53, 2022, doi: 10.24138/jcomss-2021-0183

The source code for all the aforementioned papers is available in playground repository at akapet00/EMF-exposure-analysis.

Contents

Directory	Subdirectory/Contents	Description
defense		Slides for the defense of the doctoral thesis.
docs		Documents for the evaluation and defense of the doctoral thesis.
latex		LaTeX files.
python		Python scripts for generating some of the figures in the thesis.
1	data	Placeholder for datasets.
2	figures	Placeholder for visuals.
3	misc	Various helper functionalities for data processing, plotting, postprocessing, etc.
4	normal_estimation.py	Figure 4.2: The unit binormal, tangent and normal vector at the query point with respect to the local neighborhood surrounding that point.
5	penetration_depth.py	Figure 2.4: Power transmission coefficient and power penetration depth into dry skin as a function of frequency.
6	power_density_absorption.py	Figure 3.1: Power density as a function of frequency at the skin surface and at 1 mm depth in homogeneous dry skin.
7	reference_levels.py	Figure 2.5: Incident power density as a function of frequency for general public and occupational exposures at 6-300 GHz.
8	research_compilation.py	Figure 2.3: Papers published between 1950 and 2022 related to research on bioeffects of radio frequency electromagnetic fields and/or mobile communications.

License

MIT except for published papers in docs/papers and latex/papers which are protected under CC-BY license protection.

Contact

Ante Kapetanovic, <my GitHub username>@gmail.com