Browsing by Author "Olaniyi, O. M."

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Development of mobile intelligent poultry feed dispensing system
(2010) Arulogun, O. T.; Fakolujo, O. A.; Olaniyi, O. M.; Fenwa, D. O.; Olaniyan, A. B.
"Feeding in poultry farming in most developing countries, like Nigeria, is still manually carried out as high level of human involvement is required. This places an exorbitant cost of production on the farmer and reduces the expected return from investment. Besides, human intervention to poultry feeding is limited to fatigue, negligence, unfavourable weather conditions, and improper administration of feeds. In this paper, we present a microcontroller based poultry feed dispensing system.The mobile intelligent system is capable of moving forward, turn left, right and has the ability to detect and avoid obstruction. The developed model shows how mechanical transmission systems in machine can imbibe human intelligence of poultry attendants with corresponding increases in cost-benefits and high profits yield from a reduced labour force in poultry farming. "
A framework for electronic nose based condition monitoring and diagnosis of automobile engine faults.
(Nigeria Computer Society, 2009) Arulogun, O. T; Fakolujo, O. A.; Waheed, M. A.; Omidiora, E. O.; Olaniyi, O. M.
A framework for condition monitoring approach that uses the sense of smell was investigated to diagnose the faults of plug-not-firing, loss of compression and carburettor faults from the exhaust fumes of gasoline fuelled automobile engine. An electronic nose based condition monitoring hardware and software was developed using the framework to obtain smell prints that correspond to normal operating conditions and various induced abnormal operating conditions. Fuzzy C-means and K means clustering were used as exploratory data visualization tools to ascertain if the obtained smell prints from the developed system could characterize the faults considered. The results of exploratory cluster analysis showed that the obtained smell print could typify the faults considered.
Intelligent fire detection system using mobile wireless network
(2010) Arulogun, O. T; Fakolujo, O. A; Olaniyi, O. M.; Ganiyu, R. A.; Okediran, O.
To protect lives and valuables against colossal loss due to fire outbreak in any society, provision of proper safty measures is sine qua non. This has been achieved through installation of adequate fire extinquisher in strategic visible places, installation of smoke sensors and provision of human security personnel.These methods are not only cost prohibitive, but most times fail to provide required hazard preventive measures at appropraite time. In this paper, we present an intelligent photoelectric fire detection system to provide prompt and adequate notification mechanisms to the occupants and relevant authorities about possible outbreak of fire via existing mobile wireless networks. The result from the implemented model shows how intelligent photoelectric fire detection system can help minimize possible consequences from the risk of fire outbreak.