Pregled bibliografske jedinice broj: 834621
On Some Applications of Stochastic Collocation Method in Computational Electromagnetics: Applications in ground penetrating radar, bioelectromagnetics, grounding systems and buried lines
On Some Applications of Stochastic Collocation Method in Computational Electromagnetics: Applications in ground penetrating radar, bioelectromagnetics, grounding systems and buried lines // 2016 International Conference on Software, Telecommunications and Computer Networks
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2016. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
On Some Applications of Stochastic Collocation Method in Computational Electromagnetics: Applications in ground penetrating radar, bioelectromagnetics, grounding systems and buried lines
Autori
Poljak, Dragan ; Šesnić, Silvestar ; Cvetković, Mario ; Lallechere, Sebastien ; El Khamlichi Drissi, Khalil
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2016 International Conference on Software, Telecommunications and Computer Networks
/ - Split : Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2016
ISBN
978-953-290-061-3
Skup
SoftCOM 2016 24th International Conference of Software, Telecommunications and Computer Networks
Mjesto i datum
Split, Hrvatska, 22.09.2016. - 24.09.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Computational electromagnetics; deterministic modeling; stochastic collocation; confidence intervals
Sažetak
The paper reviews the use of deterministic-stochastic models some areas of computational electromagnetics where there is an uncertainty in the input data set, i.e. where some properties of a system are partly or entirely unknown. In such problems a simple stochastic collocation (SC) method is used to properly assess relevant statistics about given responses. The SC approach also provides the assessment of corresponding confidence intervals in the set of obtained numerical results. The expansion of statistical output in terms of mean and variance over a polynomial basis, via SC method, is shown to be robust and efficient approach providing a satisfactory convergence rate. Some illustrative computational examples featuring the specific applications in ground penetrating radar (GPR), human exposure to electromagnetic fields, buried lines and grounding systems are also given in the paper.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
023-0231582-1585 - Modeliranje ljudskog tijela i izvora zračenja:okolišni i zdravstveni aspekti
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split