Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
Olusegun O. Omitola
Afe Babalola University

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Validation of android-based mobile application for retrieving network signal level Kehinde A. Adeniji; Nazmat T. Surajudeen-Bakinde; Olusegun O. Omitola; Adedayo Ajibade
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp296-304

Abstract

In recent years, the evolvement of mobile devices which perform sophisticated functions have been on the rise. Mobile applications which solved engineering challenges are now available due to the high computational capabilities, large random access memory and storage location of the mobile devices. An Android application called signal detect, which measures network signal strength value from 2G-4G received on an android mobile device has been developed using android app development environment called Android studio. Validation becomes necessary because different readings were obtained on smartphones with different specifications. Two validation techniques were used to validate the data obtained. To know the efficiency of the application; a field strength meter was used to compare the readings received on the mobile device with the meter. It was observed that there is a time lag on the received values of the mobile device to the field strength meter. Therefore, a moving average technique was used to correlate the two data which increased the correlation coefficient to about 0.85.
A robust 4.0 dual-classifier for determining the internal condition of watermelons using YOLOv4-tiny and sensory Kehinde A. Adeniji; Moses O. Onibonoje; Agbaje Minevesho; Temitayo Ejidokun; Olusegun O. Omitola
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i3.pp1834-1844

Abstract

This study presents a robust internet of things (IoT) based approach to solve the challenge of sorting fruit (watermelons) either as a raw material or final product in fruit manufacturing lines. A real-time objection detection technique called you only look once (YOLO) was used in the features detection, extraction, and matching of watermelons. The hardware framework of the system was developed on an Arduino microprocessor which integrates the sensors and camera into the system. The accuracy of the developed classifier is about 88% with a loss of 0.3, with images captured automatically saved on a designated folder which makes the detection and classification of upcoming products in the production line more accurate. The classified watermelons were further categorized into two possible states of ripe or rotten condition with an accuracy rate of 85%-90% with the tested data. These data were sent to the cloud via the Wi-Fi module and can be accessed using the Things Speak website (which is an application programming interface (API) for data retrieval and storage via the internet). An easy download option was incorporated into the system to obtain data from predictions and the cloud to a designated comma separated values (CSV) file locally for documentation and reference.
Co-Authors Adedayo Ajibade Agbaje Minevesho Kehinde A. Adeniji Kehinde A. Adeniji Moses O. Onibonoje Nazmat T. Surajudeen-Bakinde Temitayo Ejidokun