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Dive into the research topics where Stephen O. Olabiyisi is active.

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Featured researches published by Stephen O. Olabiyisi.


Expert Systems With Applications | 2012

A framework for user-centric model for evaluating the performance of distributed software system architecture

Boluwaji A. Akinnuwesi; Faith-Michael E. Uzoka; Stephen O. Olabiyisi; Elijah O. Omidiora

Highlights? Most software evaluation models are machine centric. ? There is need to match software factors with organizational variables. ? Paper presents a neuro-fuzzy based user centric model. In this work we carried out a review of models for evaluating the performance of distributed software system architecture (DSSA) and Information System (IS) success evaluation models with a view to establishing the utilization of organizational variables in the evaluation of DSSA performance. The findings from the review show that the existing DSSA performance evaluation models are machine-centric and existing IS success measurement models do not map organizational variables with DSSA components. In view of these, we developed a user-centric model for DSSA performance evaluation using organizational variables. Our model utilizes neuro-fuzzy logic in matching organizational/user variables with DSSA evaluation factors.


business information systems | 2012

An empirical study of potentials of adoption of grid computing as a vehicle for tertiary institutions collaboration

Faith-Michael E. Uzoka; Boluwaji A. Akinnuwesi; Stephen O. Olabiyisi; Alabi Demilade

Grid computing is emerging as the foundation upon which virtual collaborations can be built among large organisations with the aim of integrating and sharing computer resources, and thus offering performance and resource availability, which is unattainable by any single institutional technology resources. With the level of increase in the number of tertiary institutions in Africa, and the attendant shortage of basic information technology resources, the use of grid computing for collaboration purposes would contribute to the enhancement of research, course delivery, course management, and other aspects of institutional development. This paper carries out an empirical study of the possibility of adoption of grid computing as a vehicle for collaboration among tertiary institutions in Nigeria from the perspective of the potential adopters (users) of the systems. This study also proposes a design and implementation framework for adoption of this technology by the tertiary institutions. The key challenges that significantly affect the adoption of grid computing in tertiary institutions are mainly attitudinal (perceived need and perceived benefits). Infrastructural issues (facilitating conditions) also impose limitations on the ability of universities to implement grid computing.


ieee international conference on adaptive science technology | 2014

Development of a web based aboriginal virtual patient system for training medical students

John Oladosu; Adebimpe O. Esan; Stephen O. Olabiyisi; Christopher A. Oyeleye; Tayo Fagbola

Virtual patient (VP) systems are interactive computer simulations of real-life clinical scenarios for the purpose of medical training, education and assessment. There are limitations with the existing foreign VP systems which make them unsuitable for training indigenous Nigerian medical students. In this study, an Aboriginal Virtual Patient (AVP) system was developed to train medical students. In order to ascertain the feasibility of this research, we validated the effectiveness of aboriginal virtual patient cases over life patient cases, the following metrics were used: accessibility, privacy, accuracy, security, availability and skill-acquired. Questionnaire, developed based on these metrics, was used to interview 80 medical students and 30 doctors from Ladoke Akintola University of Technology (LAUTECH), Ogbomoso. A common generic web-based architecture was then developed for the creation, management and evaluation of web-based aboriginal virtual patient cases. In order to evaluate the performance of the developed Web AVP system over existing foreign Web-based VP system, the following performance measures were used: privacy, security, accessibility, user-friendliness, ease of use and efficiency. Forty five (45) medical students and 25 doctors from LAUTECH, Ogbomoso tested the developed Web AVP system and an existing Web-based VP (called Web SP). Results of the initial feasibility study show that medical learners and trainers considered VP more effective in acquiring clinical skills in all the measures used except for accuracy where real patients have higher rating than VP. Furthermore, the developed Web AVP system has higher performance when compared to Web SP in training Nigerian medical students. The developed system was found to be more suitable for training and assessing medical students; which can eliminate challenges that could arise from using foreign VP systems.


Archive | 2012

An Exploratory Study of Cloud and Ubiquitous Computing Systems

Stephen O. Olabiyisi; Temitayo M Fagbola; Ronke S Babatunde


2011 IST-Africa Conference Proceedings | 2011

A case analysis of factors affecting the adoption of grid technology by universities

Faith-Michael E. Uzoka; Boluwaji A. Akinnuwesi; Stephen O. Olabiyisi; D Alabi


Journal of Engineering and Technology | 2017

Statistical Evaluation of Emerging Feature Extraction Techniques for Aging-Invariant Face Recognition Systems

Ayodele Oloyede; Temitayo M Fagbola; Stephen O. Olabiyisi; Elijah O. Omidiora; John Oladosu


Journal of Engineering and Technology | 2017

Review of Technical Approaches to Face Recognition with Varying Pose and Illumination in Unconstrained Scenes

Temitayo M Fagbola; Stephen O. Olabiyisi; Funmilola I Egbetola; Ayodele Oloyede


Journal of Advances in Mathematics and Computer Science | 2017

Modelling Grammaticality-grading in Natural Language Systems Using a Vector Space Approach

Moses Aregbesola; Rafiu Ganiyu; Stephen O. Olabiyisi; Elijah O. Omidiora; Oluwaseun Alo


future technologies conference | 2016

A modified principal component analysis approach to automated essay-type grading

Odunayo Esther Oduntan; Stephen O. Olabiyisi; Ibrahim Adepoju Adeyanju; Elijah O. Omidiora


OcRI | 2016

Development of a Modified Local Binary Pattern-Gabor Wavelet Transform Aging Invariant Face Recognition System.

Oloyede Ayodele; Fagbola Temitayo; Stephen O. Olabiyisi; Elijah O. Omidiora; John B. Oladosu

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Elijah O. Omidiora

Ladoke Akintola University of Technology

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Boluwaji A. Akinnuwesi

Bells University of Technology

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Temitayo M Fagbola

Federal University Oye Ekiti

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Ayodele Oloyede

Ladoke Akintola University of Technology

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John Oladosu

Ladoke Akintola University of Technology

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A Isiaka

Kwara State University

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Adebimpe O. Esan

Ladoke Akintola University of Technology

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Alabi Demilade

Bells University of Technology

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