Browsing by Author "Fayomi OS"
Now showing 1 - 5 of 5
Results Per Page
Sort Options
Item An Overview of a Prolific University from Sustainable and Policy Perspective(2019) Fayomi OO; Okokpujie IP; Fayomi OS; Udoye NEThis paper is centred on the holistic perspective of prolific university of the world leading university as a guild to Africa university and the lacking factor of Africa University in meeting up new standard in years to come. It compares the best Universities in the world on educational performance such as strength of the best University, Capacity of the prolific University, Research strength of the prolific University, staff input and welfare of the staff and global University rankings. The study involves higher education system, government policies for academic research and related factors to improve the proper running of education system to meet global demands. Furthermore, paper compared academic faculty and staff strength of the two best Universities in the six continents of the world, comprising of Africa. Asia, Austria/Oceania, Europe, North America and South America. Effort is geared towards the management research metrics performance, Total student intake, Faculty –Student ratio, World university rankings and overall score. Finally, this research also discus about a few challenges in university education and their possible solutions in terms of funding research projects, providing adequate training to faculty and staff, and setup committee to give quality academic structure and measures in a better academic environment. There are needs to develop a policy perspective that will aid the African Universities to increase their quality and standard their university to meet up with the world university standard.Item Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township(2018) Fayomi GU; Wusu O; Mini SE; Fayomi OS; Kilanko OThis study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial location. The study involved empirical observation and interview of residents. About 652 questionnaires were administered randomly on the residents. Analysis involved descriptive statistical tools including chi-square techniques. The results suggest that air pollution was most frequently reported in Ewekoro and Ota and this can help in the prediction of stringent factor in which industrial activities could pose to society.Item Dataset on noise level measurement in Ota metropolis, Nigeria(2019) Oyedepo SO; Adeyemi GA; Fayomi OS; Fagbemi OK; Solomon R; Adekeye T; Babalola OP; Akinyemi ML; Olawole OC; Joel ES; Nwanya SCDatasets contained in this article are noise level measurement carried out at 41 different locations in Ota metropolis, Nigeria. The noise readings were measured at a time interval of 30 min for each site considered using a precision grade sound level meter. The analysis was based on the noise descriptors LAeq, L10, L90, LD, TNI and NEI. Results from the study reflects that the highest and lowest equivalent noise levels (LAeq) were recorded at commercial areas (96 dB (A)) and residential areas (52 dB (A)), respectively, the background noise level (L90) has the highest and lowest values at commercial areas (77 dB (A)) and residential areas (44 dB (A)), respectively and the peak value (L10) has the highest value and lowest value at the commercial areas (96 dB (A)) and residential areas (56 dB (A)). Based on the WHO recommendations and standards, only 2 out of the 41 locations considered are under normally acceptable situation while the noise levels of other areas are not acceptable. Noise map developed in this study provides enough information for technical controls and interim legislation against environmental noise pollution in the metropolis. Moreover, considering the noise emission standards, planning and promoting the citizens awareness about the high noise risk could help to mitigate the effect of noise in Ota, Metropolis. The noise data in this study are useful as reference and guideline for future regulations on noise limit to be implemented for urban areas in Nigeria and developing countries at large.Item Performance assessment of the firefighting personal protective tunic(2019) Dirisu JO; Fayomi OS; Oyedepo SO; Mmuokebe JIAlthough there have been reported cases of rapid improvement in the research and development of materials used for the betterment of firefighting tunics in developed countries, however, in developing countries, especially in Nigeria, the dearth of such research and development has led to the loss of lives and properties on numerous occasions due to the use of substandard firefighting tunics when combating fire. Hence, it is necessary to carry out a performance assessment on the firefighting tunic available in Nigeria. The safety of the firefighters is important as it is only then that they can fully carry out their duties and tasks. Of all the products that make up a complete assemble of the firefighters’ Personal Protective Equipment (PPE), it is their personal protective tunic that was employed for this research. The city of Ota in Nigeria was used as a case study due to the high concentration of industries and teeming population which makes it a target for pipeline explosions amongst others. Having a single fire station in the city, a sample of the firefighters’ personal protective tunic was obtained and specified experiments were carried out to determine its thermophysical and elemental properties with a goal to understand its quality and standard. The research seeks to provide useful information to stakeholders in the firefighting industry on the standard of protective tunics used in fire stations.Item Response surface methodology and artificial neural network analysis of crude palm kernel oil biodiesel production(2020) Ayoola AA; Hymore FK; Omonhinmin CA; Babalola PO; Fayomi OS; Olawole OC; Olawepo AV; Babalola AResponse surface methodology (RSM) and Artificial neural network (ANN) analysis of crude palm kernel oil (CPKO) biodiesel production, using KOH and NaOH catalysts, were carried out in this research work. The four process parameters considered during the production process and modelling stages were 6–12 mol ratio of methanol/oil, 0.7–1.7 wt/wt% catalyst concentration, 48–62 °C reaction temperature and 50–90 min reaction time. Log sigmoid function and Levenberg marquardt technique were adopted in ANN while Box-Benkhen method was utilised for RSM. The results revealed that KOH catalyst process produced higher yield of biodiesel (87 – 99%), compared to the yield obtained from NaOH catalysed process (79 – 91%). The regression coefficients for RSM models were 0.9324 for KOH catalysed process and 0.8935 for NaOH catalysed process, while the overall correlation coefficients for ANN models were 0.82921 for KOH catalysed process and 0.89396 for NaOH catalysed process, an implication that RSM is a better analytical tool (compare to ANN) in models formulation.