Publication Title 2963REVIEW ON THE RECENT ADVANCEMENT IN ARTIFICIAL INTELLIGENCE (AI) GENERATIVE DESIGN AND MACHINE LANGUAGE APPLICATION IN SOLAR AND WIND ENERGY Download PDF
Publication Type journal
Publisher INTERNAL JOURNAL OF APPLIED AND ADVANCED ENGINEERING RESEARCH
Paper Link https://mediterraneanpublications.com/mejaaer/article/view/489
Publication Authors ONORIODE ERHINYODAVWE1;ODEWORITSE EYIDE2; MARVELLOUS ENUDI3; JOSEPHANIREJUORITSE;OVIE SUNDAY OKUYADE
Year Published 2024-07-31
Abstract This review examines recent advancements in the integration of AI generative design and machine learning techniques within the scope of renewable energy, with a focus on solar and wind energy systems. By utilizing current literature and cutting-edge research, this study elucidates the multifaceted applications of AI in optimizing the design, operation, and management of renewable energy infrastructures. Specifically, AI generative design methodologies are explored for their ability to enhance the efficiency and performance of solar panel layouts and wind turbine configurations. Moreover, machine learning algorithms are investigated for their capacity to predict energy generation patterns, optimize resource allocation, and enable autonomous decision-making in renewable energy systems. Future research directions and challenges, including data availability, model interpretability, and scalability, are also discussed, providing insights for further advancements in the field.
Publication Title ROLES OF IOT, BIG DATA AND MACHINE LEARNING IN PRECISION AGRICULTURE: A SYSTEMATIC REVIEW Download PDF
Publication Type journal
Publisher Faculty of Science, University of Port Harcourt.
Paper Link https://dx.doi.org/
Publication Authors Mughele, E. S.a , Okuyade, O. Sb , Abdullahi, I. Mc , Maliki, Dd and Duada I. Ae
Year Published 2023-11-14
Abstract Precision agriculture utilizes information technologies to efficiently manage water and soil resources in agriculture. This technological revolution has been sparked by the big data analytics, machine learning and Internet of Things (IoT)in numerous industries. This game-changing technology has influence on houses, grids, smart cities, and health. Machine learning and data-intensive decisionmaking have been made possible, which has created new possibilities for efficiency and innovation in various fields. In several fields, the convergence of IoT, big data analytics, and machine learning has opened the way for cutting-edge solutions and enhanced results.The application of machine learning in the agricultural sector can increase production quantity and quality to meet increasing food demand. These advancements are transforming current agrarian approaches and generating new opportunities, despite some limitations. This paper presents a systematic appraisal of the role of IoT, big data analytics, and machine learning in precision agriculture, highlighting the potential benefits and challenges in this rapidly evolving field.
Publication Title Performance Evaluation of Biogas Yields from Co-Digestion of Kitchen Waste and Pig Dung Download PDF
Publication Type journal
Publisher Nigerian Journal of Engineering Science Research (NIJESR). Department of Mechanical Engineering, Gen. Abdusalami Abubakar College of Engineering, Igbinedion University, Okada, Edo State,.Nigeria
Paper Link https://nijesr.iuokada.edu.ng
Publication Authors 1Okuyade S.O., 2aSadiq, S., 2bIgbagbon J.E
Year Published 2023-12-30
Abstract t: Because guidelines are not being followed, kitchen trash is produced and disposed of carelessly in Nigeria, endangering the environment and public health. Only 20–30% of the more than 32 million tons of solid garbage produced in Nigeria each year are collected and dumped in open sites. The performance evaluation of the biogas potential yields from co-digestion of kitchen wastes and pig manure is the main topic of this research project. Pig manure and kitchen garbage were co-digested using a 0.040 m3 anaerobic digester. The pH range for the experiment was 5.8–7.4 m, and the temperature range was mesophilic. The findings demonstrate that a cumulative biogas production of 51.5 cm3 was produced from 20 kg of substrates made up of pig manure and kitchen garbage. Furthermore, the optimal mesophilic temperature was reached to give the highest biogas outputs.
Publication Title A REVIEW OF THE IMPACT OF COVID-19 ON SERVERLESS COMPUTING TECHNOLOGY Download PDF
Publication Type journal
Publisher FUDMA Journal of Sciences (FJS)
Paper Link : https://doi.org/10.33003/fjs-2024-0803-2478
Publication Authors * 1Ese Sophia Mughele, 2Sunday Ovie Okuyade and 3 Ifeanyi Mirian Oyem
Year Published 2024-06-03
Abstract The Covid-19 pandemic had a profound effect on technology in general, and serverless computing is no exception. Covid-19 pandemic has shaped the field of serverless computing, and how technology has evolved in response. Serverless computing technology have been adapted to meet the need for remote working, and how the technology has changed in terms of scalability and cost-effectiveness. This pandemic has affected virtually every aspect of daily life as significant measures are being taken to limit the spread of the virus. The pandemic has changed not only the way companies operate, but also the way they have been able to survive. Studies indicate increased requests for cloud services ranging from resident users, particularly for telecommuting, entertainment, commerce, to education, and as a result, causing traffic shifts at the core of the Internet. Covid-19 had such a significant impact on cloud services that there is an unprecedented amount of demand for cloud service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. This study used data from a variety of sources to analyse the impact of serverless computing during the pandemic and to justify its significance for a pandemic-affected business. It also reviewed the preCovid, Covid and post-Covid-19 era. Two survey reports were used in this study and the effect of Covid-19 on Serverless computing. This paper emphasizes the benefits and adoption of Serverless computing during the pandemic, in contrast to other studies that concentrated on the impact of the Covid-19 epidemic on the cloud computing enviroment
Publication Title Evaluation of the Fatigue Properties of 3D Printed Acrylonitrile Butadiene Styrene (ABS) Download PDF
Publication Type journal
Publisher Nigerian Journal of Engineering Science Research (NIJESR). Department of Mechanical Engineering, Gen. Abdusalami Abubakar College of Engineering, Igbinedion University, Okada, Edo State,.Nigeria
Paper Link https://nijesr.iuokada.edu.ng
Publication Authors 1aSadiq, S., 2bOkuyade, S.O., 1cOrhorhoro, E.K.
Year Published 2023-12-30
Abstract : The use of 3D printing technology has become more significant recently, especially in the area of developing new products. The process of creating a threedimensional object or prototype using 3D printing technology is called layer-bylayer building. The present investigation has looked into the fatigue characteristics of 3D printed specimens. Acrylonitrile butadiene styrene (ABS) has been chosen as a study material due to its numerous applications. For the printing, three different raster angles 0°, 45°, and 90°, layer thickness of 0.255, infill density of 100%, and printing speed of 30 mm/s were used. The fused deposition modeling (FDM) method was employed to create the specimens. The dog bone-shaped object was made in accordance with ASTM D638 standard, and its mechanical properties were determined by a fatigue test. The fatigue test was carried out at tensile strengths of thirty, fifty, and seventy percent. The 3D-printed ABS samples at 45° and 90° raster angles show reduced fatigue cycles than the 0° raster angles for all loading percentages. The results indicated that the use of ABS material 3D printed at 45° and 90° raster angles might not be suitable for industrial environments.
Publication Title REVIEW ON THE IMPACT OF THE FOURTH INDUSTRIAL REVOLUTION ON ENERGY EFFICIENCY AND SUSTAINABILITY IN AFRICA Download PDF
Publication Type journal
Publisher Benin Journal of Advances in Computer Science,
Paper Link www.bjacs.com.ng
Publication Authors Mughele Ese Sophia (Ph.D)1 , Okuyade Sunday Ovie2 and Erhinyodavwe Onoriode3
Year Published 2022-06-01
Abstract The Fourth Industrial Revolution is reshaping the way societies interact with their environment and the way they use energy. This paper seeks to investigate the impacts of the Fourth Industrial Revolution on energy efficiency and sustainability. To do so, this paper focuses on the implications of digital technologies such as the Internet of Things, Industrial IoT, Big Data, and Artificial Intelligence, which are transforming the way energy is produced, stored, and consumed. Additionally, the study investigates the effects of digital technology as a means of improving energy efficiency and eco-sustainability. It provides insights into the potential of digital technologies to reduce energy consumption and promote green energy solutions. Furthermore, this paper will identify the challenges that digital technologies pose in the development of energy efficiency and sustainability practices. By conducting a rigorous literature review, this paper identifies best practices for the implementation of energy efficiency and eco-sustainability initiatives, in the context of the Fourth Industrial Revolution. Furthermore, it also seeks to identify areas of potential improvement in the current state of energy efficiency and sustainability initiatives.
Publication Title A Comprehensive Review on Limitations and Strategies for Enhancing Remote Teaching and Learning in Academic System Download PDF
Publication Type journal
Publisher FUPRE Journal of Scientific and Industrial Research
Paper Link ISSN:2579-1184(Print)
Publication Authors MUGHELE, S. E.1, * , OGALA, J. O. 2 , OKUYADE, O. S. 3 , UMUDI, E. Q.
Year Published 2024-05-23
Abstract Covid-19 was declared a global pandemic in 2019. The most practical method for continuing teaching and learning, particularly at Academic institutions, is to use Remote teaching and learning. There has been a significant shift from face-to-face teaching and learning to a fully online teaching and learning environment. Academic institutions must ensure that their curricula are consolidated and adjusted to accommodate online teaching and learning. Educators must adapt to new and creative techniques to engage students during Remote teaching and learning to meet the new normal in teaching and learning. This paper reviews the literature on 1) the obstacles that Academic institution educators encounter in Remote teaching and learning and 2) the techniques they employed to address those challenges during the Co-vid-19 outbreak.
Publication Title The Applications of Renewable Energy in Water Purification Systems Case Study of Remote or off Grid Areas Download PDF
Publication Type journal
Publisher Hummingbird Publications Journal of Agricultural & Env. Sci. Research
Paper Link JAESR Vol. 6 (1) NOVEMBER, 2024 E-ISSN 3027-0642 P-ISSN 3027-2130
Publication Authors Ovie Sunday Okuyade1 ; Odeworitse Eyide2 ; Polycap Ikechukwu Nwabuokei3 ; Marvellous Enudi 4 ; & Ugboh Azuka Bright5
Year Published 2024-11-25
Abstract This study investigated the applications of renewable energy in water purification systems within remote or off-grid areas, focusing on Delta State, Nigeria. The research examined the effectiveness of solar, wind, hydroelectric, and biomass energy sources in enhancing water quality. Data revealed high levels of contamination, with heavy metals such as lead (Pb) and cadmium (Cd) exceeding safe limits, with Pb at 0.23 mg/L and Cd at 0.15 mg/L, and high total coliform counts reaching 120 CFU/100 mL. The study Hummingbird Publications Journal of Agricultural & Env. Sci. Research www.hummingbirdjournals.com HP JAESR2024 © November, 2024 Vol. 6 No. 1 Keywords: Renewable Energy, Water Purification, Heavy Metals, Off-Grid Areas, Delta State. Page 220 JAESR Vol. 6 (1) NOVEMBER, 2024 E-ISSN 3027-0642 P-ISSN 3027-2130 Journal of Agricultural and Environmental Science Res. JAESR2024 [E-ISSN 3027-0642 P-ISSN 3027-2130] Vol. 6 evaluated various renewable technologies for their feasibility in addressing these challenges. Findings demonstrated that solar energy systems effectively reduced contaminants, achieving up to 85% reduction in heavy metals, while wind and hydroelectric systems showed variable success based on local conditions. The research highlighted the economic and operational challenges, including high initial costs and the need for energy storage solutions. It concluded that renewable energypowered systems offer a viable solution, provided there is careful planning, community involvement, and appropriate technology selection.
Publication Title The Applications of Renewable Energy in Water Purification Systems Case Study of Remote or off Grid Areas Download PDF
Publication Type journal
Publisher Hummingbird Publications Journal of Agricultural & Env. Sci. Research
Paper Link JAESR Vol. 6 (1) NOVEMBER, 2024 E-ISSN 3027-0642 P-ISSN 3027-2130
Publication Authors Ovie Sunday Okuyade1 ; Odeworitse Eyide2 ; Polycap Ikechukwu Nwabuokei3 ; Marvellous Enudi 4 ; & Ugboh Azuka Bright5
Year Published 2024-11-25
Abstract This study investigated the applications of renewable energy in water purification systems within remote or off-grid areas, focusing on Delta State, Nigeria. The research examined the effectiveness of solar, wind, hydroelectric, and biomass energy sources in enhancing water quality. Data revealed high levels of contamination, with heavy metals such as lead (Pb) and cadmium (Cd) exceeding safe limits, with Pb at 0.23 mg/L and Cd at 0.15 mg/L, and high total coliform counts reaching 120 CFU/100 mL. The study Hummingbird Publications Journal of Agricultural & Env. Sci. Research www.hummingbirdjournals.com HP JAESR2024 © November, 2024 Vol. 6 No. 1 Keywords: Renewable Energy, Water Purification, Heavy Metals, Off-Grid Areas, Delta State. Page 220 JAESR Vol. 6 (1) NOVEMBER, 2024 E-ISSN 3027-0642 P-ISSN 3027-2130 Journal of Agricultural and Environmental Science Res. JAESR2024 [E-ISSN 3027-0642 P-ISSN 3027-2130] Vol. 6 evaluated various renewable technologies for their feasibility in addressing these challenges. Findings demonstrated that solar energy systems effectively reduced contaminants, achieving up to 85% reduction in heavy metals, while wind and hydroelectric systems showed variable success based on local conditions. The research highlighted the economic and operational challenges, including high initial costs and the need for energy storage solutions. It concluded that renewable energypowered systems offer a viable solution, provided there is careful planning, community involvement, and appropriate technology selection.