Article Per Year (5 Year)
p-Index From 2019 - 2024
0.444
P-Index
This Author published in this journals
All Journal International Journal of Informatics and Communication Technology (IJ-ICT) International Journal of Advances in Applied Sciences
Ayorinde Joseph Olanipekun
Federal University of Agriculture
Computer Science & IT Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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

Found 2 Documents
Search

 1 
Development of a PC-based sign language translator Kamoli Akinwale Amusa; Ayorinde Joseph Olanipekun; Tolulope Christiana Erinosho; Abiodun Akeem Salaam; Sodiq Segun Razaq
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 12, No 1: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v12i1.pp23-31

Abstract

While a hearing-impaired individual depends on sign language and gestures, non-hearing-impaired person uses verbal language. Thus, there is need for means of arbitration to forestall situation when a non-hearing-impaired individual who does not understand the sign language wants to communicate with a hearing-impaired person. This paper is concerned with the development of a PC-based sign language translator to facilitate effective communication between hearing-impaired and non-hearing-impaired persons. Database of hand gestures in American sign language (ASL) is created using Python scripts. TensorFlow (TF) is used in the creation of a pipeline configuration model for machine learning of annotated images of gestures in the database with the real time gestures. The implementation is done in Python software environment and it runs on a PC equipped with a web camera to capture real time gestures for comparison and interpretations. The developed sign language translator is able to translate ASL/gestures to written texts along with corresponding audio renderings at an average duration of about one second. In addition, the translator is able to match real time gestures with the equivalent gesture images stored in the database even at 44% similarity.
Quantized consensus of finite-level multi-agent networked systems Olubusola Olufunke Nuga; Kamoli Akinwale Amusa; Ayorinde Joseph Olanipekun; Simeon Matthew
International Journal of Advances in Applied Sciences Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i1.pp148-159

Abstract

In this paper, analysis of a quantized consensus finite-level multi-agent networked system is considered. Logarithmic quantizer is utilized for the transmission of the state of the networked agents. Two protocols employed in the investigation are, the consensus protocol which is determined from the outputs and states of a set of encoder-decoder pair, and the convergence rate protocol that is precisely characterized using a dynamic scaling factor. The asymptotic consensus can be reached through information exchange among neighbour agents. Validity of the protocols for the connected network system is established through careful selection of parameters of the quantizer. A four-agent networked system is used to illustrate the implementation of the protocols. Obtained result showed that information exchange in an undirected networked system is achievable through a communication channel equipped with encoder and decoder pairs. More so, the desired asymptotic convergence is achievable through careful choice of the parameters of the quantizer.
Co-Authors Abiodun Akeem Salaam Kamoli Akinwale Amusa Olubusola Olufunke Nuga Simeon Matthew Sodiq Segun Razaq Tolulope Christiana Erinosho