On the Worst-Case Whole-Body SAR Assessment Due to Far-Field Exposure. Boursianis, A.; Markakis, I.; Goudos, S., K.; and Samaras, T. Technical Report
Paper
Website abstract bibtex In this study we report a deterministic approach to evaluate the worst-case whole-body SAR due to far-field exposure. The approach is validated against a statistical approach (Monte Carlo) and the Self-Adaptive Differential Evolution optimization method, for two human numerical models and two frequencies under illumination from twelve plane-waves. It appears that the statistical approach performs worse than the other two methods, because it predicts lower values for the SAR.
@techreport{
title = {On the Worst-Case Whole-Body SAR Assessment Due to Far-Field Exposure},
type = {techreport},
source = {2013 Annual Meeting of Bioelectromagnetics Society and European Bioelectromagnetics Association (BioEM 2013), (2013)},
pages = {438-441},
websites = {https://www.bems.org/node/8386},
id = {e32e27d1-ed23-3b14-b34e-24a130e8a0b4},
created = {2019-11-03T22:00:09.015Z},
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last_modified = {2019-11-03T22:02:10.454Z},
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abstract = {In this study we report a deterministic approach to evaluate the worst-case whole-body SAR due to far-field exposure. The approach is validated against a statistical approach (Monte Carlo) and the Self-Adaptive Differential Evolution optimization method, for two human numerical models and two frequencies under illumination from twelve plane-waves. It appears that the statistical approach performs worse than the other two methods, because it predicts lower values for the SAR.},
bibtype = {techreport},
author = {Boursianis, Achilles and Markakis, Ioannis and Goudos, Sotirios K and Samaras, Theodoros}
}