Pregled bibliografske jedinice broj: 842648
An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field // International Journal of Antennas and Propagation, 2016 (2016), 2016; 6153620-1 doi:10.1155/2016/6153620 (međunarodna recenzija, članak, znanstveni)
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Naslov
An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
Autori
Šušnjara, Anna ; Poljak, Dragan
Izvornik
International Journal of Antennas and Propagation (1687-5869) 2016
(2016), 2016;
6153620-1
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
confidence margins ; cylindrical antenna ; Galerkin-Bubnov scheme of Boundary Element Method ; human body antenna ; Pocklington integro-differential equations ; stochastic collocation method ; uncertainty ;
Sažetak
The paper deals with the deterministic- stochastic model of the human body represented as cylindrical antenna illuminated by a low frequency electric field. Both analytical and numerical (Galerkin-Bubnov scheme of Boundary Element Method) deterministic solutions of the problem are outlined. This contribution introduces the new perspective of the problem: the variability inherent to input parameters, such as the height of the body, the shape of the body, and the conductivity of body tissue, is propagated to the output of interest (induced axial current). The stochastic approach is based on the stochastic collocation (SC) method. Computational examples show the mean trend of both analytically and numerically computed axial current with the confidence margins for different set of input random variables. The results point out the possibility of improving the efficiency in calculation of basic restriction parameter values in electromagnetic dosimetry.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus