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DC Field | Value | Language |
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dc.contributor.author | Ghosal, Rinki | |
dc.contributor.author | Gupta, Bhaskar | |
dc.date.accessioned | 2016-12-22T17:37:16Z | - |
dc.date.available | 2016-12-22T17:37:16Z | - |
dc.date.issued | 2014-03-27 | |
dc.identifier.issn | 0972-8791 | |
dc.identifier.uri | http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/900 | - |
dc.description | 1-6 | en_US |
dc.description.abstract | Parametric studies on Cylindrical Dielectric Resonator Antenna were performed by changing the dimension (radius and height of the cylinder) of the antenna, its material characteristic (permittivity of the dielectric) and feed position of coaxial probe. Resonant frequency of the antenna, its return loss and directivity at resonant frequency were observed for the variation of these parameters in certain ranges. Using these tabulated data, obtained by this parametric study (done using simulation software HFSS), an Artificial Neural Network (ANN) model for the CDRA has been formed and validated. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Vidyasagar University , Midnapore , West-Bengal , India | en_US |
dc.relation.ispartofseries | Journal of Physical Science;18 | |
dc.subject | Cylindrical DRA | en_US |
dc.subject | Parametric study | en_US |
dc.subject | Artificial Neural Network | en_US |
dc.subject | Back propagation | en_US |
dc.title | Parametric Study and Artificial Neural Network Modeling of Cylindrical Dielectric Resonator Antenna (CDRA) | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal of Physical Sciences Vol.18 [2014] - [Special Issue : Communication, Device, Information and Intelligence Systems] |
Files in This Item:
File | Description | Size | Format | |
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JPS-V18-1.pdf | 232.09 kB | Adobe PDF | View/Open |
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