Work place: Department of Computer Science, FCT College of Education, Zuba, Nigeria
E-mail: salakoea@futa.edu.ng
Website:
Research Interests: Application Security, Hardware Security
Biography
A. Salako is a PhD and Master of Technology (M.Tech) holder in Computer Science and received a degree (B.Eng) in Electrical and Computer Engineering. He had presented several papers at local, national and international conferences and seminars. He had published research papers in reputable local, national, international peer-reviewed journals and conference proceedings. He is a reviewer of a few journals with awards of excellence in peer-reviewing. He is a seasoned researcher in Computer Science. Salako's research interests include Biometric Security, Educational and Automation Technologies. He had authored four academic textbooks, co-authored a computer textbook, and had three Book Chapters to his credits. He is a member of Educational Services on Institution-Based Research, Academic Manuscript/Books Development (AMBD) and Publication of Academic Research Journals. He is a professional member of the Nigeria Computer Society and Teachers Registration Council of Nigeria (TRCN)
By E. A. Salako
DOI: https://doi.org/10.5815/ijeme.2022.01.05, Pub. Date: 8 Feb. 2022
Fire is a threat to lives and properties when no proactive measure is engaged towards curbing the occurrence. Fire occurs whenever there is a complete reaction of combustible fuel, heat and oxygen. The students require technological skills for digitally-based society. This paper presented an automated flaming ions–fire detection and notification system that detected a combustible flaming ion before fire occurs, alerted the relevant authority using Short Message Service (SMS) through Global System for Mobile Communication (GSM) modem for urgent attention and imparted students with relevant skills in designing and implementation of automated systems. The developed system was continuously scanning for detection of combustible flaming ions by the sensors in its vicinity. The relevant authority not available within the surroundings as well as people within the neighbourhood was alerted for fast response before the fire incidence. The developed system had a response mean-time of 3.55s in detecting flaming ions before the occurrence of fire. The flaming ions were detected at the mean-time of 3.55seconds prior to the fire occurrence from the tested materials. It was remarked by the users that a prompt detection of flaming ions could prompt response from fire fighters and prevent any damages from fire incidence and principally, the students in the field of Computer Science were imparted with computational skills in designing and implementing a detection and notification system.
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