Browsing by Author "Onanaye, Adeniyi Samson"

Now showing 1 - 18 of 18
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    A MODIFIED SPECTRAL CONJUGATE GRADIENT METHOD FOR SOLVING UNCONSTRAINED MINIMIZATION PROBLEMS
    (Nigerian Mathematical Society, 2020) Onanaye, Adeniyi Samson
    The development a modified spectral conjugate gradient method for solving unconstrained minimization prob lems is considered in this paper. A new Conjugate (update) parameter isobtained by the idea of Dai-Kou’s technique for gen erating conjugate parameters. A new spectral parameter is also presented based on quasi-Newton direction and quasi-Newton condition. Under the strong Wolfe line search, the proposed method (DOO) is proved to be globally convergent. Numerical results showed that the algorithm takes lesser number of itera tions to obtain the minimum of a given function.
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    AHP Algorithm in Data Diffusion Across a Social Networking Platform
    (Corpus Intellectual, 2023) Onanaye, Adeniyi Samson
    The Social Networking platforms (SNPs) have become major media of communication, information dissemination and sharing. SNP ignores the constraint of distance, time and type of information during communication among users. It is obviously seeming the best platform when it comes to marketing, advertisement and information transmission. In this paper, content ranking model was used to advance on how contents on a social networking platform can be shared among users faster and hereby improving the rate of information transmission over the network. Analytic Hierarchy Process (AHP) algorithm was deployed to find the level of importance in the constructed metadata.
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    An integro-collocation method for determining initial values for ordinary differential equations
    (corpus intellectual, 2023) Onanaye, Adeniyi Samson
    The collocation method used to formulate an integrated Lanczos Tau method for solving ordinary differential equations with starting values is the subject of this research. In order to uniquely determine the coefficients of the approximant of the solution, an algebraic system of linear equations is created by collocating the perturbed integrated equation at certain equally spaced intervals within the range of integration of the differential equation. The method is used to solve problems involving first- and second order ordinary differential equations, and data collected from numerical analysis supports its correctness and efficacy.
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    An Investigation of Cocoa Black Pod Disease Transmission through Mathematical Modelling
    (2023-05) Onanaye, Adeniyi Samson
    Cocoa black pod disease is a severe danger to global cocoa output. Mathematical models are commonly utilized to investigate disease transmission patterns and develop efficient control techniques. In this study, we investigated the dynamics of cocoa black pod disease spread using a mathematical model. The model's foundation is a system of ordinary differential equations that describes the interactions between susceptible (cherelles, young and mature pod, ripe pod), latent, infected, and recovered cocoa pods, as well as the population dynamics of the disease-carrying pathogen. The developed model was validated using data from the literature and ecological observation from cocoa plantations in Nigeria, West Africa. Our results suggested the importance of early detection and rapid response in controlling the spread of cocoa black pod disease. We also found that control measures, such as removal of infected pods and fungicide application can be effective in reducing the propagation of the disease. Our study highlights the importance of mathematical modeling in understanding the transmission dynamics of cocoa black pod disease and in guiding the development of effective control strategies.
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    ASSESSMENT OF STATISTICAL ANALYSIS AS A TOOL FOR INTERDISCIPLINARY RESEARCH
    (2018) Onanaye, Adeniyi Samson
    This study is focused on reviewing and analysing the frequency of use of statistics by researchers across different disciplines. The importance of statistics in planning, collection, presentation, analysis, interpretation and dissemination of data as useful and reliable information necessitates its involvement in research in all disciplines. This study serves to provide information on the current level of involvement of statistics in this regard and to sensitize non-users about it. A survey of two ISI and Scopus listed Journals for 2017 in each of various disciplines of the sciences, social sciences, engineering, humanities, education, medical sciences and agricultural sciences was carried out. The use or non-use of statistical applications was the focus of the survey. The chart drawn on the result showed that one of each of the journals in arts (7.1%), history (0%) and the two journals in Religious studies (13.6% and 10.7%), had very low statistics applications. All other disciplines (14 out of the 17 disciplines surveyed) apply statistics more frequently. The ANOVA from the beta regression indicated a highly significant (p < 0.0001) difference in statistics application across the disciplines. The conclusion was that researchers not familiar with the use of statistics should learn from literature and take advantage of the high impact of statistics for better output in their research.
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    Hybrid shifted polynomial scheme for the approximate solution of a class of nonlinear partial differential equations
    (Songklanakarin J. Sci. Technol, 2024) Onanaye, Adeniyi Samson
    This research focuses on the development of a streamlined numerical technique founded on the hybridization of two shifted polynomial basis functions to address a specific category of nonlinear Partial Differential Equations. Within this approach, a solution based on power series is employed, utilizing Chebyshev and Legendre shifted polynomials to meet the specific conditions of the Partial Differential Equation. Plugging the candidate solution series into the provided Partial Differential Equation, and employing suitable points of collocation, a linear system of algebraic equations with unspecified hybridization coefficients was obtained and numerically solved by Gaussian elimination. Furthermore, different discretization patterns were examined to comprehend how the outcomes vary with alterations in the placement of the collocation points within the domain. Two instances were examined using the numerical method to determine the method’s efficiency in terms of its reliability, effectiveness, and accuracy. The results obtained were benchmarked and validated with existing results in the literature. However, the combination of the two shifted orthogonal polynomials (Chebyshev and Legendre) greatly improved performance past that in prior literature.
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    Iterative Method for the Numerical Solution of Optimal Control Model for Mosquito and Insecticide
    (published by Nigerian Society of Physical Sciences, 2024-04-09) Onanaye, Adeniyi Samson
    A linear multistep method is transformed into an iterative method based on the Patade and Bhalekar technique for the numerical solution of an optimal control problem modeled for mosquito and insecticide management using forward-backward sweep methods via Pontryagin’s principle. Stability and convergence analysis of the iterative method are carried out and it is found to be stable, convergent, and of order four. Results obtained by the method clearly show that the population of mosquitoes can be minimized to a large extent using the new iterative method while reducing the harmful effects of the insecticide, which subsequently reduces the spread of malaria.
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    LINEAR PROGRAMMING MODELS APPLICATION IN NIGERIA BROILER POULTRY RATIONS: TRANSPORT LOGISTIC DISTRIBUTIONS AND OPTIMIZED NUTRIENTS DIET FORMULATION
    (2010) Onanaye, Adeniyi Samson
    The diet issue, a well-known topic, was one of the first problems to be described as linears programming. The objective of the diet issue is to choose a set of foods that will satisfy a set of daily nutritional demands while being as affordable as possible. Due to their primitive stomachs, chickens cannot synthesize the majority of the elements they need, making them an essential in terms of nutrition. A balanced diet is necessary for chicken's growth, livability, and ability to reach its complete genetic potential. The profitability of live birds must be maximized, and feed costs per kg of bodyweight must be reduced. The nutrient diet early discussions incorporates a number of feed ingredients needed for the bird's diet to be balanced. The general mathematical model is built as = ∑ subject to twelve restrictions received from a local farm It comprises ten variables and nine decision factors for each type of ration. In order to make the model usable, an excel solver application was used to solve it. The model and sensitivity analysis results were generated, and they were compared to the procedures followed by the real case farm. When compared to the present formulation, the linear programming model's proposed optimal formulation reduces feed formulation costs both starter and finisher broiler birds on the farm by roughly 7.48% and 9.96%, respectively. The model also considerably raised the quantity of metabolizable energy required for physiological structure while significantly boosting the quantity of metabolizable energy required for diet while reducing the amount of fat in the diet. Sensitivity analysis also provided valuable insight into the effects of variations in feed input costs. An efficient distribution of the new food ration from manufacturing plants to meet exporters' demand while reducing the expense of transporting (distributions) of the novel food rationing is made possible by the study's integration of a transportation model
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    MACAULAY DURATION AND MODIFIED MACAULAY MODELS IN PRICING, VALUATION AND RISK MANAGEMENT OF BONDS FOR TRANSPORT INFRASTRUCTURE FINANCE
    (Redeemer’s University Journal of Management and Social Sciences, 2023) Onanaye, Adeniyi Samson
    The role of bonds deployment in funding transport infrastructure projects cannot be overemphasised. In this paper, an investigation into Nigerian bonds used for the finance of transport infrastructure was carried out. The aim is to enhance better decisions that will improve participation and increase investors' confidence through assurance return on investment on the pricing, risks, valuation and the management of the bonds. The study reveals MD and MM offer reliable tool to enhance knowledge of the various types of bonds with their associated risks attached to specific Nigeria's bond. Macaulay duration and modified Macaulay duration models were employed to overcome risk management and for the Investor to have a clear expectant yield at the end of maturity date. The result offers a reliable feat in making better decisions relating to pricing, valuation and the management of any Nigerian bond both by individual investors and corporate organisations
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    Optimal control of Cocoa Black pod disease: A multi-pronged approach
    (franklin, 2024) Onanaye, Adeniyi Samson
    his study presents a novel approach to controlling cocoa black pod disease, caused by Phytophthora megakarya. Unlike previous methods, we employ a mathematical modeling framework based on Pontryagin’s Maximum Principle to optimize control strategies that minimize disease impact. The model incorporates the dynamics of healthy and infected pods while considering the combined effects of three key interventions: Infected pod removal, Targeted fungicide application and Promoting a healthy growing environment. Through numerical simulations, we identify the optimal timing and intensity for each intervention to minimize infected pods over time. This study highlights the following novelties: Synergistic effect of combined control which demonstrates that combining all three strategies is significantly more effective than relying on individual methods, Optimal strategies which involves dynamically adjusting control measures throughout the growing season to adapt to disease progression, Prompt action after disease detection proves crucial for successful control. These findings offer valuable data-driven recommendations for cocoa farmers and disease management professionals. By strategically implementing a combination of infected pod removal, targeted fungicide use, and environmental management, farmers can significantly reduce disease severity, enhance cocoa production, and promote a more sustainable cocoa industry.
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    Optimal Production Control of Multiple-Product Manufacturing System
    (LAP LAMBERT Academic Publishing, 2013-11-01) Onanaye, Adeniyi Samson
    This thesis deals with the optimal control of a one-machine multiple-product manufacturing system with setup changes, operating in a continuous time dynamic environment. The system is deterministic. When production is switched from one product to the other, a known constant setup time and a setup cost are incurred. Each product has specified constant processing time and constant demand rate, as well as an infinite supply of raw material. The problem was formulated as a feedback control problem. The optimal solution provides the optimal production rate and setup switching epochs as a function of the state of the system (backlog and inventory levels). For the steady state, the optimal cyclic schedule was determined. To solve the transient case, the system’s state space was partitioned into where n is the number of products, mutually exclusive regions such that with each region, the optimal control policy was determined analytically. From the result of analysis, a number of recommendations were made, which if fully implemented, the consequence is an efficient and effective management of the system leading to optimal productivity.
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    Quadratic Programming as An Optimization Tool for Portfolio Management
    (, International Journal of Mathematics and Computer Applications Research (IJMCAR), 2016-09-01) Onanaye, Adeniyi Samson
    In this paper, an investigation of Nigerian stocks was carried out. The principal task concerns essentially optimizing the portfolio or investors in Nigeria Stocks. Observations revealed that, though it is possible to get profits from investments in some securities but attached to them are some measure of risks. The paper has been able to provide a solution to the problem of balancing the profits and risks attached in the management of portfolios. The optimization tools used in this work includes the mean-variance principle which was used to model the problem and the extended simplex method which was employed in solving the problem.
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    REVIEW OF RISKS AND PRECAUTIONS IN ONLINE LEARNING: A CAUTIONARY VIEW FOR ADOPTING E-LEARNING IN DEVELOPING COUNTRIES IN THE NEW NORMAL
    (2023) Onanaye, Adeniyi Samson
    The global lockdown occasioned by the outbreak of the Covid-19 pandemic led to the closure of schools in most nations of the world. This also led to global increase in the demand for online (e-learning) learning at all levels of education, including developing countries. While there are several identified benefits of online learning, there are also potential risks associated with its usage. More at risk of online learning are children and young people (Minors). Caution is therefore required to be taken while introducing this category of students to online learning amidst greater emphasis and demand for online learning in the new normal dispensation. The purpose of this study is to create awareness on the potential risks associated with studying online, especially for young students in developing countries; and also to identify the various precautions that could be employed to minimise these risks. The study was carried out using the Narrative Review methodology. Relevant literatures that focused on potential online risks and the necessary safety measures and precautions required for students to safely study online were reviewed. Based on the findings, the study recommends among others, that asynchronous learning should be more emphasizes than synchronous learning for children and young people using the internet for e-learning purpose. This and other similar measures will enhance the safety of our students while studying online especially as the demand for online education is on the increase.
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    Sensitivity Analysis and Optimal Control of Cocoa Black Pod Disease Caused by Phytophora Margakarya
    (Universal Wiser, 2024) Onanaye, Adeniyi Samson
    To address the critical threat black pod disease poses to global cocoa production and farmer income, this study developed a novel mathematical model that utilizes a system of ordinary differential equations to capture the interactions between various stages of cocoa pods (susceptible cherelles, young/mature pods, ripe pods) and their disease state (exposed, infected). Additionally, the model incorporates the dynamics of the disease-causing pathogen population. Employing Pontryagin’s Maximum Principle, the model optimizes control strategies that minimize disease impact. This optimization identifies the efficient allocation of resources, timing of interventions, and deployment of control measures like infected pod removal, fungicides, and sanitation practices. The finding of the study reveals that control measure u3 which is rouging (pod removal) and any one of the remaining control measures is best for the treatment of cocoa black pod disease caused by Phytophora Megarkaya. These findings translate into valuable, data-driven recommendations for cocoa farmers and disease management professionals. By strategically combining infected pod removal, targeted fungicide use, and environmental management practices, farmers can significantly reduce disease severity, enhance cocoa production, and promote a more sustainable cocoa industry
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    Steady State Solution of Optimal Production Control of a Dynamic Four-Product Manufacturing System with Setup Costs and Setup Time
    (International Journal of Numerical Methods and Applications, 2009-09-01) Onanaye, Adeniyi Samson
    The steady state solution of optimal control of a one-machine four-product manufacturing system with setup changes, operating in a continuous time dynamic environment is considered here. The system is deterministic. When production is switched from one product to the other, a known constant setup time and a setup cost are incurred. Each product has specified constant processing time and constant demand rate, as well as an infinite supply of raw material. The problem is formulated as a feedback control problem. The aim is to minimize the total backlog, inventory and setup costs incurred over a finite horizon. The optimal solution provides the optimal production rate and setup switching epochs as a function of the state of the system (backlog and inventory levels).
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    Steady State Solution of Optimal Production Control of a Dynamic Six-Product Manufacturing System with Setup Costs and Setup Time
    (Journal of the Nigerian Association of Mathematical Physics, 2012-11-01) Onanaye, Adeniyi Samson
    The steady state solution of optimal control of a one-machine six-product manufacturing system with setup changes, operating in a continuous time dynamic environment is considered here. The system is deterministic. When production is switched from one product to the other, a known constant setup time and a setup cost are incurred. Each product has specified constant processing time and constant demand rate, as well as an infinite supply of raw material. The problem is formulated as a feedback control problem. The aim is to minimize the total backlog, inventory and setup costs incurred over a finite horizon. The optimal solution provides the optimal production rate and setup switching epochs as a function of the state of the system (backlog and inventory levels).