MeterGPX: A Smart Multimeter Embedded with Multigene Genetic Programming Model for Multiarray Antenna Transmitter-Reference-Cited by-同舟云学术

MeterGPX: A Smart Multimeter Embedded with Multigene Genetic Programming Model for Multiarray Antenna Transmitter

Published:2023-01-20 Issue:1 Volume:27 Page:19-26
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Janairo Adrian Genevie G.¹^ORCID,Baun Jonah Jahara G.¹^ORCID,Chan Johndel Garrison¹,Leon Joseph Aristotle R. De²,Concepcion II Ronnie S.²^ORCID,Vicerra Ryan Rhay P.²^ORCID,Bandala Argel A.¹^ORCID,Dadios Elmer P.²^ORCID

Affiliation:

1. Department of Electronics and Computer Engineering, De La Salle University (DLSU), 2401 Taft Avenue, Malate, Manila 1004, Philippines

2. Department of Manufacturing Engineering and Management, De La Salle University (DLSU), 2401 Taft Avenue, Malate, Manila 1004, Philippines

Abstract

Genetic programming (GP) is an evolutionary algorithm used to produce high-quality solutions to various problems. It has seen few claims in circuitry and the development of antenna designs. The application of GP in the model of embedded digital systems on multi-channel antenna arrays of subsurface imaging equipment has not yet been investigated. This study focuses on designing and developing a digital multimeter embedded with a multigene genetic programming (MGGP) model for multi-array transmitter antenna used for subsurface imaging operating at a low frequency of 3.5 kHz to 18.5 kHz using Arduino microcontroller for prototyping. The electrical outputs of a transmitter antenna system employed in a subsurface imaging device require live measurement and monitoring during operation for data logging purposes. The amount of transmitted voltage, produced current, and operating frequency are significant parameters for mapping the underground resistivity, thus the produced GP models are functions of the three parameters. GP fitness function was determined through MATLAB software. The output current signal from the transmitter were imitated in Proteus simulation software using a current source in the designed current measuring circuit. This produced linear and nonlinear relationships of the electrical outputs where GP modeling was beneficially applied. The application of GP in with the microcontroller provided an accurate reading of frequency, current and voltage produced by the multi-array transmitter antenna. These measurements were displayed using LM016L LCD display. Moreover, this embedded digital multimeter on transmitter antenna avoids utilizing costly high voltage measuring devices.

Funder

Philippine Council for Industry, Energy, and Emerging Technology Research and Development

Intelligent Systems Laboratory of the De La Salle University

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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