Olayiwola W. Bello
University of Ilorin
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Olayiwola W. Bello.
2015 6th International Conference on Information and Communication Systems (ICICS) | 2015
A.A. Jimoh; Nazmat T. Surajudeen-Bakinde; Nasir Faruk; Adeseko A. Ayeni; Obiseye Obiyemi; Olayiwola W. Bello
In this work, signal path loss prediction from nine different empirical path loss models were statistically compared with those measured from four television transmitters along five routes that span through urban and rural environments of Osun State, Nigeria. In this respect, results obtained show that both Hata and Davidson prediction models provide best fit prediction consistently along the five measurement routes with 90% to 98% prediction accuracy, Ilorin, CCIR, Cost 231, Ericsson 9999 and ECC-33 show prediction accuracy within the range of 65% to 80% while SUI and Okumura models offer prediction accuracy within the range of 15% to 21%. Generally the results show that Davidson and Hata models have better results in all the five routes examined. SUI and Okumura models show the least performance results.
Journal of Siberian Federal University: Engineering & Technologies | 2018
Abdulkarim Oloyede; Nasir Faruk; Lukman A. Olawoyin; Olayiwola W. Bello; Абдулкарим Олоиеде; Насир Фарук; Лукман Олавоин; Олаивола В. Белло
In this paper, an energy efficient learning model for spectrum auction based on dynamic spectrum auction process is proposed. The proposed learning model is based on artificial intelligence. This paper examines and establishes the need for the users to learn their bid price based on information about the previous bids of the other users in the system. The paper shows that using Q reinforcement learning to learn about the bids of the users during the auction process helps to reduce the amount of energy consumed per file sent for the learning users. The paper went further to modify the traditional Q reinforcement learning process and combined it with Bayesian learning because of the deficiencies associated with Q reinforcement learning. This helps the exploration process to converge faster thereby, further reducing the energy consumption by the system.
South African Journal of Information and Communication | 2016
Olayiwola W. Bello; Jayeola Femi Opadiji; Nasir Faruk; Yinusa Ademola Adediran
The goal of universal telecommunication access is to make telecommunication infrastructure available to everyone irrespective of their geographical location, income level, age, gender or other discriminatory parameters. Despite substantial efforts to close the digital divide, developing countries still encounter daunting challenges in making access truly universal. In this article, the authors report on an exploratory field survey of 15 rural communities in Nigeria’s Kwara State to document their perception of the effects of rural telecoms access on their livelihoods. Results revealed mostly positive effects in respect of economic growth, poverty alleviation, health education, primary healthcare delivery, and reporting of epidemic outbreaks such as the recent Ebola crisis. However, little impact on quality of government service was recorded, as awareness of participation in governance and socio-political issues was found to be very low. The article discusses some areas in which universal telecommunications access can be expected, going forward, to address the needs of communities in rural and remote communities.
ieee international conference on adaptive science technology | 2014
Olayiwola W. Bello; David N. Ehira; James K. Ayeni
The field of education has undoubtedly been affected by the penetrating influence of information and communication technology, characterized by improved access to the internet, and the increasing use of computing devices. However, education in Africa and specifically Nigeria still faces a 21st Century challenge in making education available and accessible to all. As a means of responding adequately to this huge unmet demand for education in Nigeria, this paper proposes a Synchronous Learning System which could be used in Nigerian Universities as a way of alleviating challenges like overcrowded classrooms and lack of adequate human resources. It presents a functional framework to exemplify services which could be offered in the proposed virtual learning system to depict the peculiarity of an instructor-led classroom within the Nigerian academic context, an operational design which describes how a custom e-learning portal could be integrated with an Open source Video Conference server to facilitate learning in virtual classrooms. Furthermore, it proposes a virtual Learning Network architecture to show how both onsite and remote students could optimize quality network access in realizing these electronic learning services.
Archive | 2012
Nasir Faruk; M.Y. Muhammad; Olayiwola W. Bello; Abubakar Abdulkarim; Agbakoba John; Mohammed I. Gumel
2015 International Conference on Cyberspace (CYBER-Abuja) | 2015
O.D. Babalola; Emoseh Garba; I.T. Oladimeji; A.S. Bamiduro; Nasir Faruk; O.A. Sowande; Olayiwola W. Bello; Adeseko A. Ayeni; M.Y. Muhammad
Nigerian Journal of Technology | 2015
I Opawoye; Nasir Faruk; Olayiwola W. Bello; Adeseko A. Ayeni
Iet Microwaves Antennas & Propagation | 2018
Nasir Faruk; Olayiwola W. Bello; Abdulkarim Oloyede; Nazmat T. Surajudeen-Bakinde; Obiseye Obiyemi; Lukman A. Olawoyin; Maaruf Ali; Abdulhameed Jimoh
Measurement | 2016
Nasir Faruk; Olayiwola W. Bello; O.A. Sowande; S.O. Onidare; M.Y. Muhammad; Adeseko A. Ayeni
International Journal of Future Computer and Communication | 2016
Adeseko A. Ayeni; Nasir Faruk; Olayiwola W. Bello; Olugbenga A. Sowande; M.Y. Muhammad