Department of Computer Engineering
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Browsing Department of Computer Engineering by Author "Akande, Noah Oluwatobi"
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Item ADAPTATION AND USABILITY OF QUICK RESPONSE CODES FOR SUBSCRIPTION TO MOBILE NETWORK OPERATORS’ SERVICES(Anale. Seria Informatică., 2018-03-01) Akande, Noah Oluwatobi; Arulogun, Oladiran Tayo; Oyediran, Mayowa OyedepoMobile Network Operators (MNOs) permit subscribers to gain access to data, voice calls or short messaging services offered by their networks. Payments for any of these services could be via online payments platforms, short codes provided by financial institutions or the acquisition of recharge vouchers. Of these payment methods, the recharge voucher acquisition option remains the most widely used. However, illegal access to the recharge codes has not been totally eradicated and this has marred the recharge vouchers payment method. Therefore, this paper examined and demonstrated the feasibility of employing Quick Response (QR) code as a more secured payment alternative to recharge vouchers. Twitter fabric’s crashlytics tool was used to evaluate the performance of the developed QR code mobile payment method for a three month periods. A successful payment attempt and crash free sessions were experienced among 48 volunteers who used the application in 125 sessions.Item Design and Implementation of a GSM based Electronic Appliances Monitoring and Controlling System(International Journal of Advanced Research in Computer and Communication Engineering, 2016-03-01) Oyediran, Mayowa Oyedepo; Akande, Noah OluwatobiThis paper presents a GSM based electronic appliances monitoring and controlling system. This enables individuals to connect their home or office electronic appliances to the developed system which in turn enables them to remotely monitor and control these appliances though a Short Message Service (SMS). In remotely controlling the connected electronic appliances, users can determine the status of the electronic appliances remotely and decide whether to either switch any of the connected electronic appliances on or off. The uniqueness of the approach introduced is further revealed in the way the GSM module of the developed system was integrated with thePIC16F877Amicrocontroller to give a single and more compact system. Also, the SMS format used in monitoring and controlling the connected electronic appliances allows users to control their electronic appliances from anywhere provided there is a GSM network; hence, distance was not a barrier. The SMS format used is not lengthy and is simple to understand which makes it attractive to its users. The performance of the developed system was evaluated by connecting twelve (12) electronic appliances with it and the developed system shows the capability to remotely monitor and control them.Item AN ENHANCED PRINCIPAL COMPONENT ANALYSIS APPROACH FOR EXTRACTING FEATURES IN PALMPRINT IMAGES(International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE), 2016-09-15) Akande, Noah Oluwatobi; Oyediran, Mayowa Oyedepo; Ogundokun, Roseline Oluwaseun; Adeyemo, Isiaka AkinkunmiIn reducing the dimensions of feature space so as to achieve better performance, minimal features that yet represent the original image maximally need to be extracted. Principal Component Analysis (PCA) which is an appearance based projection method has been widely used in this regards. Literatures have shown that PCA performs well for dimensionality reduction but instead of reducing within class variations, it increases it therefore resulting in its low performance. In contrast, Independent Component Analysis (ICA) performs preferably well in this instead since it linearly transforms an original data into completely independent components thereby reducing within class variations. While both PCA and ICA have been used for the purpose of feature extraction, no single feature extraction algorithm is exclusively flawless in all ramifications. In lieu of this, this paper introduces an Enhanced Principal Component Analysis (EPCA) approach which first extracts principal components from data and further uses the extracted components as input to an ICA algorithm. The EPCA was employed for feature extraction in a palmprint recognition system. The resultant system was validated using 900 palmprint images which were downloaded from three public palmprint databases. Recognition and verification rates arising from the palmprint recognition system showed that the EPCA performed well than PCA algorithm.