Browsing by Author "Balogun Monsurat Omolara"

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    DEVELOPMENT OF A PREDICTIVE FUZZY LOGIC MODEL FOR MONITORING THE RISK OF SEXUALLY TRANSMITTED DISEASES (STD) IN FEMALE HUMAN
    (International Research Journal of Engineering and Technology (IRJET), 2020-10-20) Odeniyi Olufemi Ayodeji2, Jooda Janet Olubunmi3, Balogun Monsurat Omolara4, Ajisekola Usman Adedayo5, Idowu Peter Adebayo6; Odeniyi Olufemi Ayodeji; Jooda Janet Olubunmi; Balogun Monsurat Omolara; Ajisekola Usman Adedayo; Idowu Peter Adebayo
    The purpose of this study is to develop a classification model for monitoring the risk of sexually transmitted diseases (STDs) among females using information about non-invasive risk factors. The specific research objectives are to identify the risk factors that are associated with the risk of STDs; formulate the classification model; and simulate the model. Structured interview with expert physicians was done in order to identify the risk factors that are associated with the risk of STDs Nigeria following which relevant data was collected. Fuzzy Triangular Membership functions was used to map labels of the input risk factors and output STDs risk of the classification model identified to associated linguistic variables. The inference engine of the classification model was formulated using IF-THEN rules to associate the labels of the input risk factors to their respective risk of still birth. The model was simulated using the fuzzy logic toolbox available in the MATLAB® R2015a Simulation Software. The results showed that 9 non-invasive risk factors were associated with the risk of STDs among female patients in Nigeria. The risk factors identified were marital status, socioeconomic status, toilet facility used, age at first sexual intercourse, practice sex protection, sexual activity (in last 2 weeks), lifetime partners, practice casual sex and history of STDs. 2, 3 and 4 triangular membership functions were appropriate for the formulation of the linguistic variables of the factors while the target risk was formulated using four triangular membership functions for the linguistic variables no risk, low risk, moderate risk and high risk. The 2304 inferred rules were formulated using IF-THEN statements which adopted the values of the factors as antecedent and the STDs as consequent part of each rule. This study concluded that using information about the risk factors that are associated with the risk of STDs, fuzzy logic modeling was adopted for predicting the risk of STD based on knowledge about the risk factors.
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    Feasibility of Wind Energy Utilization for Sustainable Power Generation in Ilorin, Kwara State, Nigeria's North-Central Region
    (ABUAD Journal of Engineering Research and Development (AJERD, 2024-05-16) Balogun Monsurat Omolara; Jimada-Ojuolape Bilkisu; Taiwo James Ayo; Olusi Titilayo
    The escalating energy demands across Nigeria, especially in remote rural areas, have outpaced the capacity of the national electricity grid, necessitating the development of independent and sustainable energy sources. Among the renewable options, wind energy stands out as a promising solution. This study focuses on assessing the potential of wind energy in Ilorin, located in Kwara State, within Nigeria's north-central region. Utilizing data collected from 2007 to 2021 by the Nigerian Meteorological Agency, the research examines monthly average wind speeds at two specific coordinates in Ilorin, considering variations in air density. The study utilizes a 15-year set of monthly average wind velocities obtained from the Nigerian Meteorological Agency (NiMet) Headquarters in Abuja, measured at a height of 10 meters above ground level. By employing the 2-coefficient Weibull statistical model and extrapolation principles across different altitudes ranging from 150 to 900 meters above ground level, the study reveals distinct seasonal patterns of wind speeds ranging from 1.1 to 5.1 m/s in Ilorin. Furthermore, wind power density values ranging from 6.7 to 39.20 W/m2 are identified, with optimal wind attributes observed at altitudes exceeding 900 meters. These findings provide valuable insights for assessing the feasibility of wind energy utilization and designing efficient systems in Nigeria's north-central regions, aiding in the sustainable energy transition.
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    Simulation Based Analysis of Hierarchical Timed Colored Petri Nets Model of the Restaurant Food Serving Process
    (International Journal of Advanced Trends in Computer Science and Engineering, 2022-11-26) Odeniyi Latifat Adeola; Balogun Monsurat Omolara; Ganiyu, R. A., Mutiat; Ogunrinde, E. O.; Olabiyisi, O. S.
    The major goal of establishing a restaurant is improved earnings making which can be jeopardized by customers' withdrawals due to lengthy ready lines. The above scenario was studied in this paper using simulation-based analysis of a Hierarchical Timed Coloured Petri Nets (HTCPN) model, which abstracted the serving operation of a renowned restaurant in the Ibadan metropolis. The restaurant was characterized by two or more servers that serially served each Customer from the multiple available servers at the four serving points. One hundred simulation runs were carried out on the HTCPN model using CPN Tools to determine the four (4) parameters,Customers' Average Flow Time (CAFT),Customers' Average Waiting Time (CAWT),Servers' Average Utilization Rate (SAUR) andCustomers' Average Queue Length (CAQL) required in serving 567, 1100, 1103, 770 and 829 customers from Monday to Friday, respectively. The model was validated by carrying out a statistical analysis t-Test between the simulated and the actual customers' flow time andservers' utilization rate at a 5% significant level. The validation results showed no significant differences between the simulated and the actual customers' average flow time andservers' utilization rate at a 5% significance level. Hence, the model can represent the restaurant under consideration.