Journal Articles

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    URBAN AGRICULTURE: A NEW PERSPECTIVE IN FOOD SECURITY IN NIGERIA
    (International Journal of Emerging Trends in Engineering and Development, 2013-03) Nwose, I.A. and Adesina E.A.
    This paper aims to highlight and assess urban agriculture as a new perspective in food security in Nigeria. It deserves highlighting because its expositions and place in sub-Saharan economic history have been embedded in broader arguments, creating a heuristic need to give it a balanced and lucid examination. Indeed, it needs revision to realize more of its potential than has been revealed to date. Specifically, it will be argued that urban agriculture is specific to effectively realizing food security in Nigeria. The paper will also explore the implications of improved urban agriculture for an understanding of food security in Nigeria. It will examine the investments in urban agriculture and food security techniques that could be adopted in Nigeria.
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    Assessment of the Hydrological Characteristics of Shiroro Dam, Nigeria
    (School of Environment Technology, Federal University of Technology, Minna, Nigeria, 2023-02-08) Adesina, E.A, Musa, A. Onuigbo, I.C., and Adesiji, A.R.
    Flooding in recent times has been linked to various hydrological characteristics that are associated with dams and their surrounding features, some of which are outflow, inflow, rainfall, temperature, and water elevation, among others. Although its causes have been traced to natural and human-induced factors, it is also important to investigate the various hydrological characteristics of dams to understand and manage flooding. The relationship between these features has a great effect on the amount of outflow, which in turn relates to the flooding of communities downstream. This study seeks to assess and analyse the impact of inflow, rainfall, temperature, and water level on the outflow of water from the dam. This impact was evaluated using statistical techniques such as time series, correlation, and regression analysis. The result shows that outflow in dams has a positive correlation of 0.280738, 0.873933, 0.148858, and 0.55576 with rainfall, inflow, temperature, and water elevation, respectively. Water inflow and elevation thus have a greater influence on water outflow, R2 values show that inflow can predict 76.4% of the volume of outflow while temperature has the lowest value of 0.22%. More study of the factors that influence inflows has been recommended, as has the forecast of future outflows and output.
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    Mathematical Analysis of a Contaminant Flow in a Finite Medium using the Weighted Residual Method
    (Ilorin Journal of Science, 2015-02-01) JIMOH, OMANANYI RAZAQ; Aiyesimi, Y. M.; Jiya, M.; Bolarin, G. A.
    In this paper, a Galerkin weighted Residual method is used in providing an analytical solution of two-dimensional contaminant flow problem with non-zero initial concentration. The equation is described by advection, dispersion, adsorption, first order decay and zero-order source. It is assumed that the adsorption term is modeled by Freudlich isotherm. Using Bubnov-Galerkin method, the governing equation was converted to a discrete problem. Thereafter, the approximate solution of the resulting system of initial value problem was obtained. The results obtained are expressed in graphical form to show the effect of change in the parameters on the concentration of the contaminants. From the analysis of the results, it was discovered that the contaminant concentration decreases with increase in the distance from the origin while it increases with increase in the zero-order source coefficient.
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    A Review of Geographic Information Systems Applications to Election Mapping in Nigeria
    (School of Environmental Technology, Federal University of Technology, Minna, Nigeria, 2018-04-12) Okolie, C.J., Adesina, E.A., Irivbogbe, H.E., and Umar, A.A.
    Elections are the major hallmark of democratic societies and many countries have begun applyi Geographic Information System (GIS) to manage the electoral process. GIS is also utilised by political parties to access the dispositions of voters and determine where to focus their campaign efforts. In a GIS, a combination of thematic layers of administrative areas such as population and land use can yield meaningful relationships or scenarios critical to decision-making processes and this makes it an exceptional tool for the management and analyses of election at all stages. Nigeria’s national electoral body, the Independent National Electoral Commission (INEC) has not been very proactive in leveraging GIS and Information Technology for ensuring hitch-free, free and fair elections in the country. GIS is key in enforcing the transparency of this system. This paper review the developments of GIS for election mapping in Nigeria and discusses their applications in Nigeria’s electoral system. The study shows that the status of GIS applications for electoral mapping in Nigeria is still in an infancy stage. The critical turning point lies in the full exploitation of GIS by the government’s electoral apparatus.
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    Solution of One-Dimensional Contaminant Flow Problem Incorporating the Zero Order Source Parameter by Method of Eigen-Functions Expansion
    (JOURNAL OF APPLIED SCIENCES AND ENVIROMENTAL MANAGEMENT (JASEM), 2021-10-25) JIMOH, OMANANYI RAZAQ; SHUAIBU, BN
    A semi – analytical study of a time dependent one – dimensional advection – dispersion equation (ADE) with Neumann homogenous boundary conditions for studying contaminants flow in a homogenous porous media is presented. The governing equation which is a partial differential equation incorporates the advection, hydrodynamic dispersion, first order decay and a zero order source effects in the model formulation. The velocity of the flow was considered exponential in nature. The solution was obtained using Eigen function expansion technique after a suitable transformation. The results which investigate the effect change in the parameters on the concentration were discussed and represented graphically. The study revealed that as the zero order source coefficient increases, the contaminant concentration decreases with time.
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    ANALYTICAL STUDY OF THE EFFECT OF CHANGE IN DECAY PARAMETER ON THE CONTAMINANT FLOW UNDER THE NEUMANN BOUNDARY CONDITIONS
    (Transactions of the Nigerian Association of Mathematical Physics, 2021-04-15) JIMOH, OMANANYI RAZAQ; Adebayo A.
    The advection-dispersion equation is commonly employed in studying solute migration in a flow. This study presents an analytical solution of a two-dimensional advection-dispersion equation for evaluating groundwater contamination in a homogeneous finite medium which is initially assumed not contaminant free. In deriving the model equation, it was assumed that there was a constant point-source concentration at the origin and a flux type boundary condition at the exit boundary. The cross-flow dispersion coefficients, velocities and decay terms are time-dependent. The modeled equation was transformed and solved by parameter expanding and Eigen-functions expansion method. Graphs were plotted to study the behavior of the contaminant in the flow. The results showed that increase in the decay coefficient declines the concentration of the contaminant in the flow.
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    Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation
    (IEEE, 2024-12-16) GBADAMOSI, Safiu Abiodun; HANCKE, Gerhard Petrus; ABU-MAHFOUZ, Adnan M.
    In industrial factory automation and control system, reliable communication for automated guided vehicles (AGVs) in dynamic, interference laden factory settings are essential particularly for real-time operations. Device-to-device (D2D) technology can enhance industrial network performance by offloading traffic and improving resource utilization. However, deploying D2D-enabled networks presents challenges such as interference control and imperfect channel state information (ICSI). In this paper, we investigate an adaptive resource allocation and mode switching strategy (ARAMS) in D2D-enabled industrial small cell (SC) networks with ICSI to maximize the system throughput and address reuse interference for AGVs. The ARAMS scheme integrates mode switching (MS), channel-quality factor (CQF), and power control (PC) within a bi-phasic resource-sharing (RS) algorithm to lower the computational complexity. In the initial phase, the operational mode for each D2D user (DU) per cell is adaptively selected based on the channel gain ratio (CGR). Subsequently, it computes the CQF for each cell with a reuse DU to identify an optimal reuse partner. The final phase employs the Lagrangian dual decomposition method to decide the DU’s and industrial cellular users (CUs) optimum distributed power to maximize the system throughput under the interference constraints. The numerical results show that as channel estimation error variance (CEEV) increases, the ARAMS scheme consistently outperforms other approaches in maximizing system throughput, except for the AIMS scheme.
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    Statistical Model for Predicting Slump and Strength of Concrete Containing Date Seeds
    (Covenant Journal of Engineering Technology (CJET), 2021) Yusuf, A; Jamal, J. O.; Abubakar, Mahmud; Aminulai, H. O.
    Incorporating agro-based waste in concrete can reduce environmental pollution and lead to preserving the ecosystem. In order to reduce trial and error in achieving desired slump and compressive strength of concrete containing Date Seed (DS), this paper examines the slump and compressive strength of concrete using date seeds as a partial replacement for crushed granite. Preliminary tests were conducted on the aggregates to ascertain their suitability for concrete production. Concrete with DS-crushed granite ratios of 0:100, 5:95, 10:90, 15:85, and 20:80 were prepared using a mix ratio of 1:2:4 and a water-cement ratio of 0.5. Slump loss was used to estimate the workability of the fresh concrete. The freshly prepared concrete was cast in 150 x 150 x 150 mm and the compressive strength was determined after curing by full immersion in water for 7, 14, 21 and 28 days. Results showed that the slump of concrete increased with an increase in the content of date seed. The compressive strength was inversely proportional to the date seed content with a DS crushed granite ratio of 20:80 recording the lowest compressive strength (20N/mm2). Linear regression models for slump and compressive strength were developed and found to be sufficient in explaining the experimental data based on a Mean Square Error (MSE) of 0.37 and 0.029 and R2 of 88% and 99% obtained for slump and compressive strength respectively. The study has concluded that DS can be used as a partial replacement for crushed granite in concrete and a linear model is sufficient in predicting the slump and strength of concrete containing date seeds.
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    Numerical Investigation of Reinforced Concrete Beam Containing Iron Ore Tailings as Partial Replacement of Sand
    (Conference: 4 th International Conference on Innovations and Challenges in Engineering and Technology for Sustainable DevelopmentAt: Arba Minch University, Ethiopia, 2023) Abubakar, Mahmud; Haruna, M. I.; Abdulrahman, H. S.; Abbas, B. A.
    The production of industrial and agricultural residual by-products can generate significant environmental impact. In response, researchers have begun incorporating supplementary materials made from agro-industrial wastes to create more sustainable concrete. However, testing the performance of these waste-based concrete mixtures can be time-consuming and expensive. To address this issue, this study utilized three dimensional non-linear Finite Element simulation using the ABAQUS/CAE software to predict the behavior of a reinforced concrete beam that incorporated 20% IOT as partial sand replacement. The simulation successfully predicted the damage behavior of the 20% IOT concrete, indicating the potential of this modeling approach to accurately predict the performance of waste-based concrete mixtures in various designs.
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    Development of a Simplified Methodology for British DoE Concrete Mix Design Procedure using python
    (Nile Journal of Engineering & Applied Sciences, 2025) Aguwa, Chinedu; Abubakar, Mahmud
    Most of the methods of concrete mix design developed over the years were geared towards manual approach. Apart from being characterized by rigorous complication in computation, manual concrete mix design is prone to errors and mistakes inherent in the calculation during interpolations and reading of charts. Thus, this research introduces an innovative integration of Python algorithms into mobile applications for concrete mix design. The tables used in this algorithm are the same as those used in the British Method, however, Charts or Figures in the British method were converted into linear and polynomial equations. Python program was written to ease the use of the algorithm and it was also configured into the backend of a mobile application for user-friendliness. The results obtained from the algorithm were compared with those obtained based on the British method manual calculations and available datasets. The percentage errors between the algorithm results and manual calculations were found to range from 0.65% to 3% across all examples. The developed algorithm is a reliable tool for automating DoE concrete mix design. It is recommended for engineers to enhance accuracy and efficiency in mix design computations.