Browse
Recent Submissions
Item Assessment of background radionuclides and gamma dose rate distribution in Urban-setting and its radiological significance(2020) Joel ES; De DK; Omeje M; Adewoyin O; Olawole OC; Akinwumi A; Erubami S; Adeyemi GABackground Awareness of the dangers associated with exposure to high radiation in the environment is necessary to avoid its health impact, especially when staying in-door. Method Assessment of gamma dose rate and radionuclides in urban settings of Ota has been carried out using a hand-held gamma detector to determine the hotspot of high radionuclides concentration in the study area. In this study, eighteen (18) stations were covered, gamma dose rate and radio-nuclides (Uranium-238, Thorium-232, and Potassium-40) emitting from the subsurface were measured. Results The result showed that the mean value for the measured dose rate of 45.06 nGh−1 is below the suggested value of 84 nGh−1 while the estimated mean values for the radionuclides are were 23.81, 45.35 and 77.82 Bq/kg respectively. The evaluated radium equivalent (Raeq), internal index (Hin), external index (Hex) and gamma index (Iy) ranges from 70.92 to 128.70 Bq/kg, 0.24 to 0.41, 0.19 to 0.35 and 0.25 to 0.46 respectively. Furthermore, the estimated value of the alpha index ranged between 0.05 and 0.15, and an annual effective dose rate from 0.33 to 0.55. The estimated mean value of excess cancer lifetime risk is 0.0015. Conclusions Therefore, the study suggests that the study area is safe for the residents. However, radioactivity concentration emanating from the subsurface of the setting should be monitored to avoid the environmental-health implication of accumulation of low gamma-dose, which can cause cancer of the lung due to anthropogenic activities.Item Comparison between experimental and satellite temperature datasets in Covenant University(2018) Akinwumi SA; Omotosho TV; Usikalu MR; Odetunmibi OA; Ometan OO; Adewusi MO; Omeje M; Joel ESThis article contains the ground and satellite meteorological data sets of clear-sky temperature events for five years (2012–2016) in Covenant University, Ota, Ogun State, Nigeria. The satellite data were obtained from Atmospheric Infrared Sounder (AIRS) while the ground data information were acquired from Davis weather station data logger-vantage pro2. These data were acquired from propagation study that used same location (Lat: 6.67°N and Long: 3.23°E) for both satellite data and radiometer directed along the same path by providing information about the temperature. The data sets were assessed and evaluated by means of a descriptive statistics. There was perfect agreement between the two data. The peak temperature events occurs between the months of November and April for the five years of observation for both Ota and AIRS Satellite. The data from this article can be used for further studies on non-rainy attenuation effect in the study area.Item Trends and patterns of broadband Internet access speed in a Nigerian university campus: A robust data exploration(2019) Atayero AA; Popoola SI; Adeyemi OJ; Afolayan DG; Akanle MB; Adetola V; Adetiba EEfficient broadband Internet access is required for optimal productivity in smart campuses. Besides access to broadband Internet, delivery of high speed and good Quality of Service (QoS) are pivotal to achieving a sustainable development in the area of education. In this data article, trends and patterns of the speed of broadband Internet provided in a Nigerian private university campus are largely explored. Data transmission speed and data reception speed were monitored and recorded on daily basis at Covenant University, Nigeria for a period of twelve months (January–December, 2017). The continuous data collection and logging were performed at the Network Operating Center (NOC) of the university using SolarWinds Orion software. Descriptive statistics, correlation and regression analyses, Probability Density Functions (PDFs), Cumulative Distribution Functions (CDFs), Analysis of Variance (ANOVA) test, and multiple comparison post-hoc test are performed using MATLAB 2016a. Extensive statistical visualizations of the results obtained are presented in tables, graphs, and plots. Availability of these data will help network administrators to determine optimal network latency towards efficient deployment of high-speed broadband communication networks in smart campuses.Item Computation of human health risk in surface water in Ado-Odo Ota, Ogun State, Nigeria(2018) Samuel OA; Theophilus TI; Praise God EC; Winifred AUHeavy metals find their way into surface and groundwater due to degrading environmental conditions, and as such consistent monitoring to avoid the adverse health implications associated with the consumption of polluted water is required. This study examined the concentrations for Lead (Pb), Nickel (Ni), Zinc (Zn), Chromium (Cr), Cadmium (Cd), Copper (Cu) and Arsenic (As) in the Surface water of River Balogun in Ota, Ogun State, Nigeria during the wet season and estimated the human health risk resulting from prolonged consumption by children and adult of dissimilar age groups without treatment. Although there were persistent occurrence of Nickel (Ni), Copper (Cu), Zinc (Zn) and Arsenic (As) in all stations sampled, the health risk assessment conducted revealed that both population groups are more likely to be affected by high concentration levels of Arsenic than any other Heavy metal present.Item Comparative assessment of data obtained using empirical models for path loss predictions in a university campus environment(2018) Popoola SI; Atayero AA; Popoola OAEmpirical models are most widely used for path loss predictions because they are simple, easy to use, and require less computational efficiency when compared to deterministic models. A number of empirical path loss models have been developed for efficient radio network planning and optimization in different types of propagation environments. However, data that prove the suitability of these models for path loss predictions in a typical university campus propagation environment are yet to be reported in the literature. In this data article, empirical prediction models are comparatively assessed using the path loss data measured and predicted for a university campus environment. Field measurement campaigns are conducted at 1800 MHz radio frequency to log the actual path losses along three major routes within the campus of Covenant University, Nigeria. Path loss values are computed along the three measurement routes based on four popular empirical path loss models (Okumura-Hata, COST 231, ECC-33, and Egli). Datasets containing measured and predicted path loss values are presented in a spreadsheet file, which is attached to this data article as supplementary material. Path loss prediction data of the empirical models are compared to those of the measured path loss using first-order statistics, boxplot representations, tables, and graphs. In addition, correlation analysis, Analysis of Variance (ANOVA), and multiple comparison post-hoc tests are performed. The prediction accuracies of the empirical models are evaluated based on Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Standard Error Deviation (SED). In conclusion, the high-resolution path loss prediction datasets and the rich data exploration provided in this data article will help radio network engineers and academic researchers to determine the empirical model that is most suitable for path loss prediction in a typical university campus environment.Item Smart campus: Data on energy consumption in an ICT-driven university(2018) Popoola SI; Atayero AA; Okanlawon TT; Omopariola BI; Takpor OAIn this data article, we present a comprehensive dataset on electrical energy consumption in a university that is practically driven by Information and Communication Technologies (ICTs). The total amount of electricity consumed at Covenant University, Ota, Nigeria was measured, monitored, and recorded on daily basis for a period of 12 consecutive months (January–December, 2016). Energy readings were observed from the digital energy meter (EDMI Mk10E) located at the distribution substation that supplies electricity to the university community. The complete energy data are clearly presented in tables and graphs for relevant utility and potential reuse. Also, descriptive first-order statistical analyses of the energy data are provided in this data article. For each month, the histogram distribution and time series plot of the monthly energy consumption data are analyzed to show insightful trends of energy consumption in the university. Furthermore, data on the significant differences in the means of daily energy consumption are made available as obtained from one-way Analysis of Variance (ANOVA) and multiple comparison post-hoc tests. The information provided in this data article will foster research development in the areas of energy efficiency, planning, policy formulation, and management towards the realization of smart campuses.Item Sustainable nano-sodium silicate and silver nitrate impregnated locally made ceramic filters for point-of-use water treatments in sub-Sahara African households(2021) Maxwell O; Oghenerukevwe OF; Adewoyin Olusegun O; Joel ES; Daniel OA; Oluwasegun A; Jonathan HO; Samson TO; Adeleye N; Michael OM; Omeje Uchechukwu A; Akinwumi Oluwasayo A; Akinpelu A; L AM; Oladokun OThe poor access to water quality for Nigerians has pushed for the designing of new trend silver nitrate impregnated locally made Point-Of-Use (POU) ceramic filters to enhance water purification efficiency for household use. This study utilized silver nitrate-molded ceramic filters prepared with Kaolin from Owode, silt soil, sodium silicate, sawdust, and distilled water in three varying proportions to ascertain pollution removal efficiencies. Heating was carried out by firing the filters at 900 °C and further preheating at 400 °C after dipping in silver nitrate solution. Silver nanoparticle and dissociated particle discharge from filter pot painted with 0.03 mg/g casein-covered nAg or AgNO3 were estimated as an element of pH (5–9), ionic strength (1–50mM), and cation species (Na+, Ca2+, Mg2+). Silver delivery was constrained by disintegration as Ag+ and resulting cation exchange measures, paying little heed to silver structure applied. Water analysis for both heavy metals (Pb and Cd) and microbial load (E. coli) evaluated, corroborate the maximum removal efficiency. It was observed that kaolin-sawdust with the Silver nitrate filters showed a constant and effective removal of both heavy metals and disinfection of microbial loads. The minimum flow rates observed were 4.97 mL/min for batch filter used for Iju River water sample one (AF1) and 4.98 mL/min for batch filter used for Iju River water sample two (AF2) having porosity 49.05% and 50.00%, whereas the 5 mL/min higher flow rate was used for batch filter from borehole water sample one (BF1) and batch filter used for well water sample two (CF2) with porosity of 50.00%. Significantly, the results obtained show that the filters are suitable for point-of-use application in both the urban and rural areas of developing countries such as NigeriaItem The Impact of Seven Dimensions of Emotional Maltreatment on Self Concept of School Adolescents in Ota, Nigeria(2011) Gesinde AMThis paper investigates the effect of seven dimensions of emotional maltreatment on self-concept of school adolescents. Two hundred adolescents selected through purposive sampling technique from fifteen private secondary schools in Ota, Nigeria participated in the study. Questionnaire on Seven Dimensions Emotional Maltreatment at Home (QSDEMH) and Adolescent Personal Data Inventory (APDI) are used to generate data. Three research hypotheses are tested at 0.05 alpha level using multiple regression and correlation coefficient. The findings indicate that the seven independent variables jointly account for 28.0% of the variance in self concept (R2=280.) The independent variables contribute differently to the prediction of self concept and negative significant relationship exists between the predictors and self concept. It is recommended that Psychologists and Counsellors commence the development of therapeutic strategies that will address the seven dimensions of emotional maltreatment.Item Survey dataset on the impact of stakeholder's relationship on the academic performance of engineering students(2018) Oyeyipo O; Odeyinka H; Owolabi J; Afolabi A; Ojelabi RIn order to produce seasoned graduates from tertiary institutions, academic performance of students should be paramount in the minds of stakeholders. The dataset presented the perception of engineering students and lecturers in two private universities in Ogun state, namely, Bells University of Technology and Covenant University. Purposive quota sampling was used to elicit data from students and lecturers in the institutions through a closed ended structured questionnaire. Inferential statistics such as component principal analysis, regression analysis and Kruskall Wallis test were used to present the data. The engineering students are in their fourth year. The data collected focused on stakeholder's relationship on students’ academic performance. It also provided information on the significant factors affecting stakeholder's relationship in tertiary educational institution as well as the effect of the age of the students in lecturer–student relationship. The survey data when analysed can be a pointer in identifying the unique stakeholders’ characteristics that could engender best academic performance from the students.Item Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University(2018) Okeniyi JO; Atayero AA; Popoola SI; Okeniyi ET; Alalade GMThis data article presents comparisons of energy generation costs from gas-fired turbine and diesel-powered systems of distributed generation type of electrical energy in Covenant University, Ota, Nigeria, a smart university campus driven by Information and Communication Technologies (ICT). Cumulative monthly data of the energy generation costs, for consumption in the institution, from the two modes electric power, which was produced at locations closed to the community consuming the energy, were recorded for the period spanning January to December 2017. By these, energy generation costs from the turbine system proceed from the gas-firing whereas the generation cost data from the diesel-powered generator also include data on maintenance cost for this mode of electrical power generation. These energy generation cost data that were presented in tables and graphs employ descriptive probability distribution and goodness-of-fit tests of statistical significance as the methods for the data detailing and comparisons. Information details from this data of energy generation costs are useful for furthering research developments and aiding energy stakeholders and decision-makers in the formulation of policies on energy generation modes, economic valuation in terms of costing and management for attaining energy-efficient/smart educational environment.Item The role of gender on academic performance in STEM-related disciplines: Data from a tertiary institution(2018) John TM; Badejo JA; Popoola SI; Omole DO; Odukoya JA; Ajayi PO; Aboyade M; Atayero AAThis data article presents data of academic performances of undergraduate students in Science, Technology, Engineering and Mathematics (STEM) disciplines in Covenant University, Nigeria. The data shows academic performances of Male and Female students who graduated from 2010 to 2014. The total population of samples in the observation is 3046 undergraduates mined from Biochemistry (BCH), Building technology (BLD), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Computer Science (CIS), Civil Engineering (CVE), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mathematics (MAT), Microbiology (MCB), Mechanical Engineering (MCE), Management and Information System (MIS), Petroleum Engineering (PET), Industrial Physics-Electronics and IT Applications (PHYE), Industrial Physics-Applied Geophysics (PHYG) and Industrial Physics-Renewable Energy (PHYR). The detailed dataset is made available in form of a Microsoft Excel spreadsheet in the supplementary material of this article.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 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 Radionuclides proportion and radiological risk assessment of soil samples collected in Covenant University, Ota, Ogun State Nigeria(2018) Adewoyin OO; Omeje M; Joel ES; Akinwumi SA; Ehi-Eromoseled CO; Embong ZThe activity levels of 238U, 232Th and 40K in soil surrounding major office complexes in Covenant University were analyzed for radiological hazards to determine the safety of the residents in such environment. Sixteen (16) soil samples were collected, prepared and sent to Acme laboratory in Canada for analysis with the use of high purity germanium detector. The mean activity concentrations of 238U, 232Th and 40K were found to be 45?±?10, 135?±?8 and 195?±?20 respectively. The concentrations of 238U and 232Th were found to be higher than the world recommended standard of 35 and 30, while the result for 40K was noted to be lower than the world safe limit. The average values of Raeq, D, AED, Iyr, Hex and ELCR in this study were estimated to be 252.33?Bq/kg, 110.15 nGy/h, 0.13 mSv/y, 1.78, 0.68 and 0.47?×?10-3 respectively. It was noticed that none of the measured parameters was higher than the internationally recommended safe limits. 232Th was found to be the major contributor to the environmental radionuclides in the area of study. Therefore, the inhabitants of the office complexes whose environment was assessed are considered not be exposed to any radiological hazards.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.Item Air pollution assessment: a preliminary study towards citing industry(2019) Emetere ME; Okoro EE; Adeyemi GA; Sanni SEThe spate of increased air pollution in the study area is a source of concern. In this research, we examine the spatial distribution of atmospheric aerosol and its danger to the life form that resides therein. Fifteen years primary (aerosol optical depth) dataset was obtained from the Multi-angle Imaging Spectro-Radiometer (MISR). The secondary datasets that was generated from the primary data were aerosol loading, particles sizes, Angstrom parameter and the statistics of the primary dataset. It was observed that if not controlled, the life form in the research area may be under unimaginable danger in the near future. Hence, industrialization projects would require the dataset for environmental assessment before citing industry in the geographical area.Item Scanning electron microscopy and Fourier transmission analysis of polyhydroxyalkanoates isolated from bacteria species from abattoir in Ota, Nigeria(2019) Nwinyi OC; Owolabi TAThis study reports production of polyhydroxyalkanoates (PHA) from microbial species obtained from abattoir by altering different carbon source (acetate and molasses) in minimal salt medium. The isolates were characterized by understanding their physiological responses to biochemical tests, optical microscopy examination and comparison to standard reference organisms. They were presumably species of Lactobacillus, Bacillus, Corynebacterium, Arthrobacter and Rhodococcus. The PHA products from these isolates were confirmed to be of plastic origin using the Fourier transmission analysis and the microstructure analysis elucidated by the scanning electron microscopy coupled with electron dispersive spectra. The sourcing of this resource (PHA) from bacteria species domiciled in the high organic environment could provide amazing metabolic machinery that could create a cost effective means for PHA production.Item Production of activated carbon from sawdust and its efficiency in the treatment of sewage water(2021) Oladimeji TE; Odunoye BO; Elehinafe FB; Oyinlola RO; Olayemi AOWhen water is contaminated and rendered unfit for drinking, it is regarded as waste, which leads to water pollution. Several works have been done to control water pollution, yet this topic is still a point of concern up to date. The study involves the production of activated carbon (AC) using sawdust to treat sewage water obtained from Covenant University. The following conditions were investigated; activation time and temperature, activating agent concentration, and impregnation time. The AC was characterized by measuring ash content, iodine value, moisture, and volatile matter content. The optimum activated carbon prepared in this study had iodine of 1628.95 mg/gm, while the minimum activated carbon had an iodine of 470.41 mg/gm. According to standard procedure, the sewage water sample was characterized physio-chemically before and after treatment using activated carbon as an adsorbent. The results obtained indicated considerable improvement in the quality of the water. When optimum activated carbon was used for treatment, pH value changed from 7.7 to 7.10, biochemical oxygen demand (BOD) was reduced from 288 mg/l to 20 mg/l and Total dissolved solids (TDS) reduced from 183.7 mg/l to 16.4 mg/l, Total suspended solids (TSS) reduced 232 mg/l to 15.7 mg/l. When minimum activated carbon was used for treatment, pH value changed from 7.7 to 7.60, BOD was reduced from 288 mg/l to 112.2 mg/l, and TDS reduced from 232 mg/l to 174 mg/l, TSS reduced 183.7 mg/l to 103 mg/l. The results obtained led to the conclusion that the produced activated carbon effectively treats the above-stated water quality parameters.Item Item Path loss dataset for modeling radio wave propagation in smart campus environment(2018) Popoola SI; Atayero AA; Arausi OD; Matthews VOPath loss models are often used by radio network engineers to predict signal coverage, optimize limited network resources, and perform interference feasibility studies. However, the propagation mechanisms of electromagnetic waves depend on the physical characteristics of the wireless channel. Therefore, efficient radio network planning and optimization requires detailed information about the specific propagation environment. In this data article, the path loss data and the corresponding information that are needed for modeling radio wave propagation in smart campus environment are presented and analyzed. Extensive drive test measurements are performed along three different routes (X, Y, and Z) within Covenant University, Ota, Ogun State, Nigeria (Latitude 6°40′30.3″N, Longitude 3°09′46.3″E) to record path loss data as the mobile receiver moves away from each of the three 1800 MHz base station transmitters involved. Also, the longitude, latitude, elevation, altitude, clutter height, and the distance information, which describes the smart campus environment, are obtained from Digital Terrain Map (DTM) in ATOLL radio network planning tool. Results of the first-order descriptive statistics and the frequency distributions of all the seven parameters are presented in tables and graphs respectively. In addition, correlation analyses are performed to understand the relationships between the network parameters and the terrain information. For ease of reuse, the comprehensive data are prepared in Microsoft Excel spreadsheet and attached to this data article. In essence, the availability of these data will facilitate the development of path loss models for efficient radio network planning and optimization in smart campus environment.
- «
- 1 (current)
- 2
- 3
- »