Optimization of Subsurface Imaging Antenna Capacitance through Geometry Modeling using Archimedes, Lichtenberg and Henry Gas Solubility Metaheuristics
Created by W.Langdon from
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- @InProceedings{Janairo:2022:IEMTRONICS,
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author = "Adrian Genevie Janairo and Jonah Jahara Baun and
Ronnie Concepcion and R-Jay Relano and
Kate Francisco and Mike Louie Enriquez and Argel Bandala and
Ryan Rhay Vicerra and Melchizedek Alipio and Elmer P. Dadios",
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booktitle = "2022 IEEE International IOT, Electronics and
Mechatronics Conference (IEMTRONICS)",
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title = "Optimization of Subsurface Imaging Antenna Capacitance
through Geometry Modeling using Archimedes, Lichtenberg
and Henry Gas Solubility Metaheuristics",
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year = "2022",
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abstract = "Capacitive resistivity subsurface imaging of roads
operating at very low frequency is susceptible to
antenna characteristic capacitance dynamics that may
cause unwanted signal reflection, coupling, and
unfavorable effect on reception sensitivity. Antennas
are conventionally modeled using a complex and
repetitive default mathematical method that is prone to
human error and discrete results. To address this
emerging challenge, this study has developed a new
technique for plate-wire antenna capacitance
optimization through equatorial dipole-dipole antenna
geometry modeling using genetic programming (GP)
integrated with metaheuristic methods, namely
Archimedes optimization algorithm (AOA), Lichtenberg
algorithm (LA), and Henry gas solubility optimization
(HGSO). GP was used to construct the antenna
capacitance fitness function based on 241 combinations
of wire antenna radius and elevation, and dipole plate
elevation, length, width, and thickness measurements.
Minimization of antenna capacitance (approaching 1 nF)
to achieve quasi-static condition was performed using
GP-AOA, GP-LA, and GP-HGSO. The 3 metaheuristic-based
antennas were 3D-modeled using Altair Feko and compared
from the default antenna's electrical features. It was
found that even with the smallest dipole geometry,
hybrid GP-LA antenna model exhibited the most practical
outputs at 5 kHz with correct directional propagation
based on its radiation pattern, a realistic receiver
voltage of -8.86 dBV which is close to the default
model, and a high-power efficiency of 99.92percent.
While hybrid GP-AOA and GP-HGSO resulted in indirect
coupled transceiver systems with unsuitable antenna
characteristic capacitance inducing anomalous receiver
voltages. The experimental results prove the validity
of the developed technique for more accurate
determination of optimal antenna geometry.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/IEMTRONICS55184.2022.9795789",
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month = jun,
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notes = "Also known as \cite{9795789}",
- }
Genetic Programming entries for
Adrian Genevie Galema Janairo
Jonah Jahara Garcia Baun
Ronnie S Concepcion II
R-Jay Relano
Kate Francisco
Mike Louie Enriquez
Argel A Bandala
Ryan Rhay P Vicerra
Melchizedek Alipio
Elmer Jose P Dadios
Citations