Work place: Department of Telecommunication Engineering, Federal University of Technology, Minna, Niger State
E-mail: salihu.aliyu@futminna.edu.ng
Website:
Research Interests: Pattern Recognition, Embedded System, Image Compression, Image Manipulation, Image Processing
Biography
Salihu O. Aliyu is a lecturer at the Department of Telecommunication Engineering, Federal University of Technology, Minna Nigeria. He received the BEng. degree in electrical and computer engineering at Federal University of Technology, Minna in 2010 and M.Sc. degree in electrical engineering from the King Fahd University of Petroleum and Minerals, Dhahran, KSA in 2015.
From 2011 to 2012, he was a Research Assistant with Manhenrycee Electronics Construction Company, Ilorin Nigeria. His research interests include digital signal/image processing, embedded/intelligent system design, pattern recognition and smart grid.
He was a recipient of the best paper award in 2016, at the 13th IEEE International Multi-Conference on Systems, Signals and Devices 2016 Leipzig, Germany.
By Salihu Aliyu Abdulazeez Yusuf Umar Abdullahi Mustapha Hafiz Lukman A. Ajao
DOI: https://doi.org/10.5815/ijisa.2017.08.05, Pub. Date: 8 Aug. 2017
In today's age of digital technology and intelligent systems, home automation has become one of the fastest developing technology in the world as more and more people begin to see the idea of remotely monitoring and controlling their home appliances more as a necessity rather than a luxury. This paper presents the design and development of a smart home system that allows control of home appliances using both Bluetooth and GSM technology. The use of multiple control mediums gives more robustness to the system as appliance control and monitoring is made cheaper and possible regardless of the distance from which control is being effected. The system is controlled using a dedicated android based application which ensures convenience and ease of use. In addition, it is equipped with a security feature which is activated when the user is away from home. This enables the user to detect intrusion while the user is away.
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