Browsing by Author "Oyediran, Mayowa O."
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Item Development of a Matlab Based Pattern Design System for Plain Textile (Ankara)(IOSR Journal of Computer Engineering (IOSR-JCE), 2020-01-03) Elegbede, Adedayo W.; Olusanya, Olamide O.; Oyediran, Mayowa O.; Amole, Abraham O.Textile designing involves producing patterns for cloth used in clothing, household textiles (such as towels) and decorative textiles such as carpets. In the past, numerous printing techniques have been employed in patterning textiles and they give an accurate representation of designs when utilized but designs produced by the conventional method are static and rigid. Hence, MATLAB was used in this work to enable dynamic designs be created for a particular textile material. This work develops patterns for printing different textiles and creating innovative designs using mathematics to serve as instructions for artistic.Item Development of an Improved Convolutional Neural Network for an Automated Face-Based University Attendance System(Paradigm Plus, 2023-04-27) Ojo, Olufemi S.; Oyediran, Mayowa O.Because of the flaws of the present university attendance system, which has always been time intensive, not accurate, and a hard process to follow. It, therefore, becomes imperative to eradicate or minimize the deficiencies identified in the archaic method. The identification of human face systems has evolved into a significant element in autonomous attendance-taking systems due to their ease of adoption and dependable and polite engagement. Face recognition technology has drastically altered the field of Convolution Neural Networks (CNN) however it has challenges of high computing costs for analyzing information and determining the best specifications (design) for each problem. Thus, this study aims to enhance CNN’s performance using Genetic Algorithm (GA) for an automated face-based University attendance system. The improved face recognition accuracy with CNN-GA got 96.49% while the face recognition accuracy with CNN got 92.54%.Item An Embedded Arduino based LPG Detection System with SMS Alert and Automatic Gas Shut Off(Journal of Scientific and Engineering Research, 2019-02-03) Olusanya, Olamide O.; Oyediran, Mayowa O.; Usman, Musa; Elegbede, Adedayo W.; Fawole, Ayobami O.; Adebo, KingThe level of technological advancement which engendered enhanced transportation of Liquefied Petroleum Gas (LPG) has, to a large extent, solved the problem of energy demand. Unfortunately, in doing this, it brought about concomitant risk- damage to the pipes as a result of human errors, natural disasters, and acts of vandalism. This paper addresses the issue of gas leakage and proposes a leakage detection system using an MQ 2 gas sensor, a buzzer, and a GSM module. A response mechanism which shut off the supply of gas when the level of leakage seems not to reduce.Item Factors Determining the Intention to Use Electronic Health Records: An Extension of the Technology Acceptance Model(Journal of Scientific Research & Reports, 2020-09-23) Okediran, Oladotun O.; Wahab, Wajeed B.; Oyediran, Mayowa O.This paper details an empirical investigation of the factors that determine the intention of adopting and using electronic health records (EHR). The paper’s goal is a study aimed at examining the possibilities and intents towards EHR amongst healthcare professionals in Nigeria. In this study, an extended Technology Acceptance Model (TAM) that incorporates Subjective norm, Social influence, Result demonstrability, Computer self-efficacy and System quality to the original TAM constructs was proposed. The proposed model was empirically tested using data collected from a sample of 126 healthcare professionals across 14 healthcare delivery institutions in Oyo State, Southwestern, Nigeria by applying structural equation modeling (SEM). These data were collected by administering a questionnaire containing 30 items. The results of the evaluation showed that all constructs have significant effect on healthcare professionals’ behavioural intention to use EHR.Item Modeling User Acceptance of Electronic Voting: An Extended Technology Acceptance Model (TAM) Approach(Current Journal of Applied Science and Technology, 2020-09-29) Okediran, Oladotun O.; Oyediran, Mayowa O.; Sijuade1, Adeyemi A.; Wahab, Wajeed B.Election voting has emerged as a significant alternative to conventional voting methods with testimonials of its implementation showing various degrees of success in some countries of the western world. Lately, many developing countries are also looking at its prospects as a replacement or supplement for traditional paper balloting which is, the principal voting method in most of these countries. However, the voting populace’ acceptance of this technology is a major factor that needs to be considered before its actual introduction owning to factors that includes, digital divides, low literacy level, norms and beliefs, high poverty level and so on. From another viewpoint, due to the peculiarity of contextual ICT infrastructural challenges of developing countries, there is a need to investigate the factors that will influence adoption decision and eventual usage when planning to introduce electronic voting so that the evolving system will not end up being impractical for the target users. In this study, an empirical investigation of the factors influencing the adoption decision of electronic voting was carried out. More specifically, this study aimed at examining the possibilities and intents towards mobile voting (which is a type of electronic voting), among a selected sample population of electorates in Nigeria. In the study, an extended Technology Acceptance Model (TAM) that integrates Subjective norm, Perceived compatibility, Perceived privacy, Perceived security, Perceived price value and Perceived trust into the original TAM constructs was proposed. A total of 1364 sample data were collected from a selected population of electorates who had at one time or the other participated in at least an electioneering process in Nigeria. The data was then analyzed statistically using Partial Least Square Structural Equation Modeling (PLS-SEM). The results obtained show that all variables have significant effect on the electorates’ behavioural intention to use mobile voting except for perceived privacy.Item P-ACOHONEYBEE: A Novel Load Balancer for Cloud Computing Using Mathematical Approach(Computers, Materials & Continua, 2022-04-12) Ajagbe, Sunday Adeola; Oyediran, Mayowa O.; Nayyar, Anand; Awokola, Jinmisayo A.; Al-Amri, JehadCloud computing is a collection of disparate resources or services, a web of massive infrastructures, which is aimed at achieving maximum utilization with higher availability at a minimized cost. One of the most attractive applications for cloud computing is the concept of distributed information processing. Security, privacy, energy saving, reliability and load balancing are the major challenges facing cloud computing and most informa tion technology innovations. Load balancing is the process of redistributing workload among all nodes in a network; to improve resource utilization and job response time, while avoiding overloading some nodes when other nodes are underloaded or idle is a major challenge. Thus, this research aims to design a novel load balancing systems in a cloud computing environment. The research is based on the modification of the existing approaches, namely; particle swarm optimization (PSO), honeybee, and ant colony optimization (ACO) with mathematical expression to form a novel approach called P ACOHONEYBEE. The experiments were conducted on response time and throughput. The results of the response time of honeybee, PSO, SASOS, round-robin, PSO-ACO, and P-ACOHONEYBEE are: 2791, 2780, 2784, 2767, 2727, and 2599 (ms) respectively. The outcome of throughput of hon eybee, PSO, SASOS, round-robin, PSO-ACO, and P-ACOHONEYBEE are: 7451, 7425, 7398, 7357, 7387 and 7482 (bps) respectively. It is observed that P-ACOHONEYBEE approach produces the lowest response time, high throughput and overall improved performance for the 10 nodes. The research has helped in managing the imbalance drawback by maximizing throughput, and reducing response time with scalability and reliability.