| 1 |
Author(s):
Adakole Sunday, Alabi Oladunni Oyelola, Osaghae Osarenren Samuel.
Page No : 1-15
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Assessment of Ovbiomu Coal for Industrial Application
Abstract
This research is to assess the quality of Ovbiomu lignite coal deposited for optimum utilization in metallurgical industries in Ovbiomu. Samples of coal were collected for analysis and sample was collected from five different stationary lots until 10 kilograms of the sample was collected and 500g was taken for characterization. The sample was reduced using jaw crusher and ball milled to a size of 1400μm and 1 kilograms of 1400μm was further reduced to 1100μm and was classified into various sieve sizes using mechanical sieve shaker. CalK2 bomb calorimeter was used to determine the calorific value of the head sample, the economic liberation size and the actual liberation size. The proximate analysis of the head sample and all the sieve sizes was done using Furnace, oven, porcelain crucibles, analytical balance, and desiccator to ascertain the individual carbon content. Ultimate analysis was done using XRD and concentration was done using froth flotation method. Result from sieve analysis shows that at 1000 μm, 710 μm, 500 μm, 355 μm, 250 μm, 180 μm, 25 μm, 90 μm, 63 μm, and -63 μm, the following weight was retained 1.45 g 1.86 g, 3.73 g, 3.5 g, 14.61 g, 48.28 g, 0.15 g, 0.17 g and 0.20 g respectively. The economic liberation size was found out to be 180um where most of the sample is retained and the actual liberation size was found out to be 125um but with a very small quantity retained. The results of the calorific value of the head sample and each of the sieve sizes of 250μm, 180μm, and 125μm, was determined to be 24.51MJ/Kg, 25.86MJ/Kj, 18.57MJ/Kg and 38.07MJ/Kg respectively, the following are result of percentage carbon content, for the Head sample (40.65%), 1000μm (29.55%), 710μm (38.53%), 500μm (42.43%), 335μm (35.42%), 250μm(43.07%), 180μm (30.92),125μm (63.40%) 90μm (0.56%) 63μm (0.62%) and -63μm (9.91%). The result of ultimate analysis of the sample shows Nitrogen (1.15%), Hydrogen (4.80%), Sulphur (0.13%) and Oxygen (29.56%).
| 2 |
Author(s):
Edim Eka James, Glory Sunday Etim, Arikpo Nneoyi Nnana, Inyang Bassey Inyang, Obi Ikenna Celestine.
Page No : 16-34
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Influencer Marketing and Consumers’ Purchase Behaviour Towards New Smartphone Brands
Abstract
This study assessed influencer marketing and consumers’ purchase behaviour towards new smartphone brands. Its specific purpose was to determine the effect of celebrity endorsement, giveaway contest and pre-release contest on consumers’ purchase behaviour towards smartphone brands. It adopted cross-sectional survey research design, which enabled the collection of primary data from 232 smartphone users through a structured questionnaire survey. Data analysis and interpretation was done using descriptive statistics, while hypotheses testing was done using multiple linear regression in the Statistical Package for the Social Sciences (SPSS 23). The study found that celebrity endorsement, giveaway contest and pre-release campaign had significant positive effects on consumers’ purchase behaviour towards new smartphone brands. Therefore, we recommended that: smartphone marketing companies should devote more resources to celebrity endorsement by contracting famous and credible celebrities to promote their new brands prior to actual release in order to influence massive product patronage from their followers; all sorts of giveaway contests, including hashtag, photo and referral contests should be included in the introductory marketing mix for new smartphone brands in order to generate positive buzzes on the internet capable of creating mass consumer awareness and patronage; among others. We also provided empirical suggestions to guide further research efforts.
| 3 |
Author(s):
Ismail A. Mahmoud, Umar Jibrin Muhammad, Sagir Jibrin Kawu, Mohammed Mukhtar Magaji, Mahmud M. Jibril.
Page No : 35-51
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Machine Learning-Based Wind Speed Estimation for Renewable Energy Optimization in Urban Environments: A Case Study in Kano State, Nigeria
Abstract
Climate change always had a massive effect on worldwide cities. which can only be decreased through considering renewable energy sources (wind energy, solar energy). However, the need to focus on wind energy prediction will be the best solution to the world electricity petition. Wind power (WP) estimating techniques have been used for diverse literature studies for many decades. The hardest way to improve WP is its nature of differences that make it a tough undertaking to forecast. In line with the outdated ways of predicting wind speed (WS), employing machine learning methods (ML) has become an essential tool for studying such a problem. The methodology used for this study focuses on sanitizing efficient models to precisely predict WP regimens. Two ML models were employed “Gaussian Process Regression (GPR), and Feed Forward Neural Network (FFNN)” for WS estimation. The experimental methods were used to focus the WS prediction. The prophecy models were trained using a 24-hour’ time-series data driven from Kano state Region, one of the biggest cities in Nigeria. Thus, investigating the (ML) forecast performance was done in terms of coefficient of determination (R²), linear correlation coefficient (R), Mean Square Error (MSE), and Root Mean square error (RMSE). Were. The predicted result shows that the FFNN produces superior outcomes compared to GPR. With R²= 1, R = 1, MSE = 6.62E-20, and RMSE = 2.57E-10
| 4 |
Author(s):
Kalu Uchenna.
Page No : 52-66
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Solution to Fourier Transforms Method to Complex Variable of Non-homogeneous Fractional Differential Equations
Abstract
This work is devoted to the study of fractional differential equations involving Caputo non-homogeneous fractional differential equations. Using Fourier transform method, a complex variable explicit solution to non-homogeneous second-order fractional differential equation was obtained.
| 5 |
Author(s):
Musa Hamza, Adamu Mohammed Babayo, Usman Aliyu Jalam, Abbas Sa'id El-nafaty.
Page No : 67-79
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Occupant’s Thermal Perception in Mixed-mode Office Buildings of the Tropical Climate
Abstract
Thermal comfort and energy consumption in office buildings is a global critical concern. This study investigated this challenge in the Faculty of Environmental Technology, Abubakar Tafawa Balewa University, Bauchi-Nigeria. Through a field survey and physical environment measurements. The study explored occupant perceptions of thermal comfort and satisfaction. It evaluated the thermal comfort and satisfaction of occupants in a mixed-mode office building, focusing on potential discrepancies between perceived comfort and internationally recommended standards. Despite air temperatures falling outside the PMV model's comfort range, high thermal comfort, and satisfaction levels were reported by the respondents. These findings align with other studies in Nigeria, suggesting adaptation and acclimatization to local conditions. The study further examined the relationship between thermal comfort and occupant satisfaction. The result revealed a moderate positive association, suggesting increased thermal comfort leads to higher satisfaction among occupants. While thermal comfort explained 25% of the variance in satisfaction scores. Finally, the study suggests the localization of comfort standards, improved mixed-mode system performance, and encouraging evidence-based design interventions that will ultimately benefit both occupants and the environment.
| 6 |
Author(s):
Raphael Enoch Omokhogbo, Osaghae Osarenren Samuel, Uchenna Monday Chukuwendu.
Page No : 80-96
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The Effectiveness of Carbonized Neem Leaves Adsorbent for the Removal of Phenol from Synthesized Effluent Using the Batch Process Method
Abstract
The adsorption of phenol in aqueous solution was investigated using carbonized neem leaves adsorbents. The effect of various factors such as contact time, phenol concentration, pH, temperature, and amount of adsorbent on the adsorption capacity of the adsorbents was determined. The results show that maximum adsorption was obtained at a contact time of 150 minutes, at a phenol concentration of 50 mg/L, optimum adsorption temperature of 45⁰C, pH of 2 and adsorbent dosage of 3 g/L. The equilibrium data was well described by the Freundlich isotherm equation (R2= 0.955 ). This shows a heterogenous adsorption process. The kinetics of the process were explained by the intra-particle diffusion models (R2>0.9). This fitted data indicates a degree of boundary layer control and is not limited to intra-particle diffusion.
| 7 |
Author(s):
Madu A. N., Iwu C. I., Joseph E. E., Jaiyeola A. T., Maduako K. N., Madu, J. N..
Page No : 97-104
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GC-MS, Chemical Characterization and Anti-Microbial Activity of Moringa Oleifera Leaf Extract.
Abstract
The analysis of the leaf of Moringa oleifera was carried out using Gas Chromatography Mass Spectroscopy (GC-MS). Result obtained showed the presence of alkaloids, flavonoids, steroids, tannins, terpenoids and cardiac glycoside. The GC-MS analysis showed that the leaf extract contained 16 compounds which included; Dodecanoic acid (C12H24O2), Tetradecanoic acid, (C14H2802), Hexadecanoic acid, (C17H34O2), n-Hexadecanoic acid, (C16H3202), 9-Octadecanoic acid (C19H36O2), cis-Vaccinic acid, (C18H34O2), Oleic acid, (C18H34O2), Eicosanoic acid, (C21H42O2), Oleic acid, 3-hydroxylpropyl ester (C21H40O3), Oleic acid, (C18H34O2), Docosanoic acid, Methyl ester, (C23H46O2), Vitamin E (C29H50O2), Trioxa-5-phosphaheptacos-18-en-1-aminium,4-hydroxyl-N,N,N-trimethyl-10-oxo-{(1-oxo-9-ocl)}, (C44H84NO8P), Oleic acid, 3-(octadecyloxy) propyl ester, (C39H76O3), Oleic acid, 3-(octadecyloxy) propyl ester, (C39H76O3), 9-Octadecanoicacid [Z]., 2-hydroxyl-1,3-propanedyl ester, (C39H72O5). Similarly, the antimicrobial result showed that the extract had activities against six selected human pathogens such as; Staphylococcus aureus with diameter of inhibition 3.8 and minimum inhibition concentration (MIC) of 50 mg/g, Streptococcus spp with diameter of inhibition 5 and (MIC) 25mg/g, Escherichia coli with diameter of inhibition 20 and (MIC) of 25mg/g, Salmonela. typhi with diameter of inhibition 3 and (MIC) 50, P. aureginosa with diameter of inhibition 3 and (MIC) 50.
| 8 |
Author(s):
Oni Oluwabunmi Ayankemi, Musibau Azeez Olamide, Wahab Ganiyu Abolore, Koleoso Akintunde Gabriel.
Page No : 105-111
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Building of Barcode and QR Code Reader Device.
Abstract
This study focuses on building a QR and barcode reader device to scan the barcode or QR code (1D/2D) and display the read information on the Liquid Crystal Display (LCD). With this device we can scan and read all the barcode and QR codes through an OLED display. The proposed device can work in the dark, have a stable performance as well as fast decoding speed. It can easily capture barcodes 1D, 2D on labels, paper, and mobile phone or computer displays sensitively and accurately.
| 9 |
Author(s):
Oni Oluwabunmi Ayankemi, Makinde Rofiat Olamide, Wahab Ganiyu Abolore, Muibi Azeez Kehinde.
Page No : 112-118
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Smart Gas Leakage Detector Using Arduino Gas Sensor.
Abstract
This project is carried out using the Methane Quality (MQ-2) sensor to detect Liquefied Petroleum Gas LPG, smoke and Carbon Monoxide (CO) leakage in the environment. The microcontroller used was an Arduino Uno for controlling the environmental temperature monitoring system. The results obtained from the sensor would be displayed on the 16x2 i2c Liquid Crystal Display (LCD). The new system with an Arduino microcontroller and MQ2 consists of the hardware design which includes the device design, as well as the software design which consist of the Arduino source code. They also consist of Internet of Things (IoT) enabled sensors, which work as a real-time indicator. After testing, we have 17.7% failure and 82.3% accuracy.
| 10 |
Author(s):
Bashir Ismail Ahmad, Mohamed Alhosen Degm, Mohamed Miftah Salem Ahmed, Zenib M Zaydi, Mohamed Ab. Khalifa Ibrahim, Umar M. Ghali, Shamsu Shuaibu Bala, Aliyu Yakubu.
Page No : 119-134
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Chemometrics Feasibility for Modelling Chromatographic Behavior of Diazepam using Linear and Non-Linear Techniques: A Data Mining Based Approach.
Abstract
Modern data mining employs the use of statistics with other tools, ideas and approaches from computer science, database technology, machine learning, deep learning as well as other classical analytical tools. In this research, three distinct algorithms have been employed for modelling the performance properties of Diazepam (DIA) utilizing the method of high-performance liquid chromatography (HPLC). The algorithms developed include support vector machine (SVM), adaptive-neuro fuzzy inference systems (ANFIS), and linear regression (LR). Temperature and mobile phase inform of methanol (MeOH) were used as predictors, while the time recorded for the retention was deemed to be the dependent variable. The performance accuracy of the models was assessed using two statistical metrics, including determination co-efficient (R2) and root mean square error (RMSE). The obtained results were shown both qualitatively and graphically using different charts. The comparative performance accuracy of the models demonstrates that the non-linear models (ANFIS and SVM) displays a higher performance efficiency than LR and has the ability of enhancing its performance ability by 51.2% and 76.1% both throughout the training and testing phase.
| 11 |
Author(s):
Adakole Sunday, Samuel Osarenren Osaghae, Yusuf Inusa, Adakole Sandra.
Page No : 135-143
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Quality Assessment of Igue Calcite Deposit for Industrial Applications.
Abstract
The research is compare calcite deposit from Igue. Samples were collected from five different pit and homogenized, final 5 kilogram was gotten, 1 kilogram for laboratory test work and analysis, the sample was crushed to a size of 1400µm and was further reduced using ball mill to 1100µm, 100gram was riffled out for sieve analysis using set of sieves and mechanical sieve shaker and sieve size of 125µm was sampled out for chemical analysis using X-ray Fluorescence Spectrometer. The set of sieves used are; 1000µm, 710µm, 500µm, 355µm, 250µm, 180µm,125µm, 90µm, 63 µm, and (-63µm), using Gates Gaudin Schumann Method of particles size distribution and Rosin Rammler Method of particles size distribution. the result from sieve analysis shows that the economic liberation size is at sieve 180µm to 63µm, showing the following mid points 1.56% to 1.22%. With an equilibrium points from the graph showing 49.26%. From the chemical analysis shows that the following element are present in Igue white calcite deposit: Mg, Al, Si, P, S, K, Ca, Ti, V, Cr, Mn, Co, Fe, Ni, Cu, Zn, As, Pb, W, Au, Ag, and Rb with the following mean concentrations of : 0.0000, 0.4257, 0.6757, 0.2845, 0.4199, 0.0000, 67.9587, 0.0000, 0.0009, 0.0000, 0.0000, 0.0000, 0.1958, 0.0061, 0.0090, 0.0175, 0.0000, 0.0000, 0.0000, 0.0000, 0.0005 and 0.0000 respectively and intensities of : 0.0000, 0.0014, 0.0076, 0.006, 0.0059, 0.0000, 0.6923, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0012,0.0002, 0.0005, 0.0006, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, with calcium which is the major element in the sample having the following intensity of 0.6923 and content of 67.9587, Igue white calcite have a good calcium content and intensity.
