UWB based dielectric material characterization using hardware/software co-design based ANN

Santu Sardar, Amit K. Mishra

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

The feasibility of using reflected Ultra Wideband (UWB) waves in Hardware/Software (Hw/Sw) Co-design based Artificial Neural Network (ANN) framework as a non-destructive method for dielectric material characterization by estimating their relative dielectric constant, is discussed in this paper. The property of an electromagnetic wave changes owing to the effects of relative dielectric constant & conductivity of a dielectric material. Depending on the relative dielectric constant & conductivity of a dielectric material, the reflection or transmission signal changes in terms of it's amplitude and spread. This property can be utilized to estimate the relative dielectric constant of a dielectric material. First, software implementation was carried out for feasibility analysis. In the next step, Hw/Sw co-design implementation was proposed to overcome the limitations of software implementation of ANN. These approaches are discussed and validated using FDTD simulation.

Iaith wreiddiolSaesneg
TeitlProceedings - 2013 IEEE International Conference on Industrial Technology, ICIT 2013
CyhoeddwrIEEE Press
Tudalennau1196-1200
Nifer y tudalennau5
ISBN (Electronig)978-1-4673-4569-9
ISBN (Argraffiad)978-1-4673-4567-5
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 25 Chwef 2013
Cyhoeddwyd yn allanolIe
Digwyddiad2013 IEEE International Conference on Industrial Technology, ICIT 2013 - Cape Town, De Affrica
Hyd: 25 Chwef 201328 Chwef 2013

Cyfres gyhoeddiadau

EnwProceedings of the IEEE International Conference on Industrial Technology

Cynhadledd

Cynhadledd2013 IEEE International Conference on Industrial Technology, ICIT 2013
Gwlad/TiriogaethDe Affrica
DinasCape Town
Cyfnod25 Chwef 201328 Chwef 2013

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