Publication Title Optimization of Mechanical Properties of Bonded Particle Boards Produced From Agricultural Waste Wood Chips Download PDF
Publication Type journal
Publisher J. Appl. Sci. Environ. Manage.
Paper Link https://www.ajol.info/index.php/jasem
Publication Authors *1EYIDE, O; 2AMENAGHAWON, NA; 3 MODEBE, LU; 4MENE, JA
Year Published 2023-04-30
Abstract ABSTRACT: The aim of this research work was to optimize the production of particle boards from agricultural waste (wood chips). The mechanical properties investigated were the modulus of elasticity (MOE) and modulus of rupture (MOR). The production of particle boards was investigated under the following conditions: stacking time (14- 21days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (MOE and MOR) and the independent variables. Both models showed significant fit with experimental data with R2 values of 0.99 and 0.97 respectively. Analysis of variance (ANOVA) results showed that MOE and MOR were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the MOE and MOR and the optimization results showed that the maximum MOE and MOR values of 1114.09N/mm2 and 9.34 N/mm2 were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general purpose particle boards.
Publication Title Optimization of Mechanical Properties of Bonded Particle Boards Produced From Agricultural Waste Wood Chips Download PDF
Publication Type journal
Publisher J. Appl. Sci. Environ. Manage.
Paper Link https://www.ajol.info/index.php/jasem
Publication Authors *1EYIDE, O; 2AMENAGHAWON, NA; 3 MODEBE, LU; 4MENE, JA
Year Published 2023-04-30
Abstract ABSTRACT: The aim of this research work was to optimize the production of particle boards from agricultural waste (wood chips). The mechanical properties investigated were the modulus of elasticity (MOE) and modulus of rupture (MOR). The production of particle boards was investigated under the following conditions: stacking time (14- 21days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (MOE and MOR) and the independent variables. Both models showed significant fit with experimental data with R2 values of 0.99 and 0.97 respectively. Analysis of variance (ANOVA) results showed that MOE and MOR were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the MOE and MOR and the optimization results showed that the maximum MOE and MOR values of 1114.09N/mm2 and 9.34 N/mm2 were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general purpose particle boards.
Publication Title NUMERICALLY OPTIMIZED EFFECT OF PHYSICAL PROPERTIES OF BONDED PARTICLE BOARDS PRODUCED FROM WASTE SAWDUST Download PDF
Publication Type journal
Publisher UW Trends in Science & Technology Journa
Paper Link http://www.ftstjournal.com/
Publication Authors Odeworitse Eyide*1 ; Nosakhare Andrew Amenaghawon2 ; Ubani Oluwaseun Amune3 ; Joseph Anirejuoritse Mene4 ; Othuke Gideon Akpobire5
Year Published 2023-08-30
Abstract Abstract This study aimed to optimize the production of particle boards from agricultural waste (sawdust). The physical properties studied were Water Absorption (WA), Thickness Swelling (TS) and Linear Expansion (LE). The production of particle boards was investigated under the following conditions: stacking time (14-21 days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (WA, TS and LE) and the independent factors. The three models showed significant fit with experimental data with R2 values of 0.99, 0.99 and 0.97, respectively. Analysis of variance (ANOVA) results showed that WA, TS and LE were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the WA, TS and LE, and the results showed that the minimum WA, TS and LE values of 4.05%, 0.38%, and 0.34% were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general-purpose particle boards
Publication Title NUMERICALLY OPTIMIZED EFFECT OF PHYSICAL PROPERTIES OF BONDED PARTICLE BOARDS PRODUCED FROM WASTE SAWDUST Download PDF
Publication Type journal
Publisher UW Trends in Science & Technology Journa
Paper Link http://www.ftstjournal.com/
Publication Authors Odeworitse Eyide*1 ; Nosakhare Andrew Amenaghawon2 ; Ubani Oluwaseun Amune3 ; Joseph Anirejuoritse Mene4 ; Othuke Gideon Akpobire5
Year Published 2023-08-30
Abstract Abstract This study aimed to optimize the production of particle boards from agricultural waste (sawdust). The physical properties studied were Water Absorption (WA), Thickness Swelling (TS) and Linear Expansion (LE). The production of particle boards was investigated under the following conditions: stacking time (14-21 days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (WA, TS and LE) and the independent factors. The three models showed significant fit with experimental data with R2 values of 0.99, 0.99 and 0.97, respectively. Analysis of variance (ANOVA) results showed that WA, TS and LE were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the WA, TS and LE, and the results showed that the minimum WA, TS and LE values of 4.05%, 0.38%, and 0.34% were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general-purpose particle boards
Publication Title NUMERICALLY OPTIMIZED EFFECT OF PHYSICAL PROPERTIES OF BONDED PARTICLE BOARDS PRODUCED FROM WASTE SAWDUST Download PDF
Publication Type journal
Publisher UW Trends in Science & Technology Journa
Paper Link http://www.ftstjournal.com/
Publication Authors Odeworitse Eyide*1 ; Nosakhare Andrew Amenaghawon2 ; Ubani Oluwaseun Amune3 ; Joseph Anirejuoritse Mene4 ; Othuke Gideon Akpobire5
Year Published 2023-08-30
Abstract Abstract This study aimed to optimize the production of particle boards from agricultural waste (sawdust). The physical properties studied were Water Absorption (WA), Thickness Swelling (TS) and Linear Expansion (LE). The production of particle boards was investigated under the following conditions: stacking time (14-21 days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (WA, TS and LE) and the independent factors. The three models showed significant fit with experimental data with R2 values of 0.99, 0.99 and 0.97, respectively. Analysis of variance (ANOVA) results showed that WA, TS and LE were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the WA, TS and LE, and the results showed that the minimum WA, TS and LE values of 4.05%, 0.38%, and 0.34% were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general-purpose particle boards
Publication Title NUMERICALLY OPTIMIZED EFFECT OF PHYSICAL PROPERTIES OF BONDED PARTICLE BOARDS PRODUCED FROM WASTE SAWDUST Download PDF
Publication Type journal
Publisher UW Trends in Science & Technology Journa
Paper Link http://www.ftstjournal.com/
Publication Authors Odeworitse Eyide*1 ; Nosakhare Andrew Amenaghawon2 ; Ubani Oluwaseun Amune3 ; Joseph Anirejuoritse Mene4 ; Othuke Gideon Akpobire5
Year Published 2023-08-30
Abstract Abstract This study aimed to optimize the production of particle boards from agricultural waste (sawdust). The physical properties studied were Water Absorption (WA), Thickness Swelling (TS) and Linear Expansion (LE). The production of particle boards was investigated under the following conditions: stacking time (14-21 days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (WA, TS and LE) and the independent factors. The three models showed significant fit with experimental data with R2 values of 0.99, 0.99 and 0.97, respectively. Analysis of variance (ANOVA) results showed that WA, TS and LE were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the WA, TS and LE, and the results showed that the minimum WA, TS and LE values of 4.05%, 0.38%, and 0.34% were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general-purpose particle boards
Publication Title Automated gas-controlled cooker system design and implementation Download PDF
Publication Type journal
Publisher nternational Journal of Electrical and Computer Engineering (IJECE)
Paper Link 10.11591/ijece.v14i4.pp3905-3912
Publication Authors Elizabeth Amuta1 , Hope Orovwode1 , Abel Ehimen Airoboman2 , Joseph Anirejuoritse Mene3 , Gabriel Oluwatobi Sobola1 , Simeon Matthew4 , Daniel Onyema1
Year Published 2024-08-30
Abstract Cooking from ancient times has evolved from using open fires to wood, gas cookers, using liquefied petroleum gas (LPG). This has also come with various adverse effects ranging from gas leakages to burnt food due to absent-mindedness, thereby creating a significant disaster that could lead to loss of life and property damage. The study aimed to reduce the rate of liquefied petroleum gas related accidents in domestic usage and improve the safety of domestic gas users. An automated method to enforce safety was proposed to avoid unwanted cooking gas flow consequences, especially in homes. The paper presents a control system using an Arduino Uno with a control design interfaced with a utensil sensor, solenoid valve, and a timer circuit to allow gas flow to commence and ignite a flame automatically. The automatic ignition apparatus, which has a high-voltage electric circuit, begins to function once the utensil detector comes in contact with silverware. The system is designed to function in different modes to ensure safety and prevent gas flow. The prototype serves as a means of curbing gas wastage and increasing the safety of people who use LPG as a source of fuel for cooking.
Publication Title Automated gas-controlled cooker system design and implementation Download PDF
Publication Type journal
Publisher nternational Journal of Electrical and Computer Engineering (IJECE)
Paper Link 10.11591/ijece.v14i4.pp3905-3912
Publication Authors Elizabeth Amuta1 , Hope Orovwode1 , Abel Ehimen Airoboman2 , Joseph Anirejuoritse Mene3 , Gabriel Oluwatobi Sobola1 , Simeon Matthew4 , Daniel Onyema1
Year Published 2024-08-30
Abstract Cooking from ancient times has evolved from using open fires to wood, gas cookers, using liquefied petroleum gas (LPG). This has also come with various adverse effects ranging from gas leakages to burnt food due to absent-mindedness, thereby creating a significant disaster that could lead to loss of life and property damage. The study aimed to reduce the rate of liquefied petroleum gas related accidents in domestic usage and improve the safety of domestic gas users. An automated method to enforce safety was proposed to avoid unwanted cooking gas flow consequences, especially in homes. The paper presents a control system using an Arduino Uno with a control design interfaced with a utensil sensor, solenoid valve, and a timer circuit to allow gas flow to commence and ignite a flame automatically. The automatic ignition apparatus, which has a high-voltage electric circuit, begins to function once the utensil detector comes in contact with silverware. The system is designed to function in different modes to ensure safety and prevent gas flow. The prototype serves as a means of curbing gas wastage and increasing the safety of people who use LPG as a source of fuel for cooking.
Publication Title Deciphering Disinformation: Strategies for Identifying and Addressing Fake News in Today's Information Landscape
Publication Type journal
Publisher 024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG
Paper Link DOI: 10.1109/SEB4SDG60871.2024.10630059
Publication Authors Oluwagbohunmi Osadola Electrical and Information Engineering Covenant University Agbara, Nigeria osadola.oluwagbohunmi@stu.cu. edu.ng Elizabeth Amuta Depatement of Electrical and Information Engineering Covenant University Ota, Nigeria elizabeth.amuta@covenantuniver sity.edu.ng Comfort Somefun Depatement of Electrical and Information Engineering Covenant University Ota, Nigeria comfort.somefun@covenantunive rsity.edu.ng Tobiloba Somefun Depatement of Electrical and Information Engineering Covenant University Ota, Nigeria tobi.somefun@covenantuniversit y.edu.ng Samson Ongbali Depatement of Mechanical Engineering Covenant University Ota, Nigeria samson.ongbali@covenantuniver sity.edu.ng Joseph Mene Department of Electrical and Electronic Engineering, University of Delta, Agbor mene.joseph@unidel.edu.ng
Year Published 2024-08-16
Abstract Abstract— The proliferation of fake news poses a severe threat to information integrity and societal stability, particularly evident in Nigeria's political landscape. Addressing this multifaceted challenge requires a comprehensive approach. Leveraging advanced technological solutions, fostering media literacy through educational initiatives, and promoting collaboration between digital platforms, fact-checkers, and governments are crucial. Transparency in algorithms, accountability for content producers, and international cooperation can enhance countermeasures. Targeted regulations for deepfake content and continuous research efforts are essential. By combining these strategies, societies can mitigate the impact of fake news and cultivate a more informed and resilient public discourse
Publication Title Piezoelectric Transducer Safety System for Infant Monitoring Download PDF
Publication Type journal
Publisher International Journal of Safety and Security Engineering
Paper Link https://doi.org/10.18280/ijsse.140320
Publication Authors Elizabeth O. Amuta1* , Joseph A. Mene2 , Gabriel O. Sobola1 , Nina N. Okaro1 , Simeon Matthew3 , Kevwe Olukayode1
Year Published 2024-06-03
Abstract Ensuring the safety of infants around swimming pools or hazardous areas can be tasking for caregivers and their parents. Providing safety devices that can keep track of infants and prevent them from going to unauthorized locations is very necessary. The study aims to design and implement an infant safety system that uses a Piezoelectric sensor. The paper constructed a system to alert parents of an infant's attempted entry into a dangerous area, such as balconies and swimming pools, and it also incorporated an automatic doorlocking system around the location. The Piezoelectric Sensor Infant Monitoring System was designed to enhance infant safety at home. The system utilized piezoelectric transducers and pressure sensors, incorporating an automatic door to secure unauthorized zones. Components like Arduino Nano, an LCD, and a buzzer were used to create the prototype. The device was designed to harvest energy by converting mechanical energy from ambient vibrations into electrical energy that will send signals to the GSM module, alerting the homeowner by sending a call. The model adopts the technology of pressure control, and when the pressure reaches a set value and the dial of the scale reaches a specific value simultaneously, the automatic door will open. The device is designed to harvest energy by converting mechanical energy from ambient vibrations into electrical energy that will power the motor of the automatic door of the safety system. The test proved the system's effectiveness in accurately detecting and blocking an infant, but it only grants access to authorized individuals while alerting caregivers. The results demonstrated improved child safety, responsible parenting, and a secure environment. The Piezoelectric sensor safety system offers a practical solution for enhancing infant monitoring for safety and preventing avoidable mishaps, thereby reducing infant mortality and morbidity in present times. The system can serve as a protection device for very busy mothers.
Publication Title A Self-Optimizing Fuzzy Logic Model For Managing Vertical Handover In Heterogeneous Mobile Cellular Networks Download PDF
Publication Type journal
Publisher Journal of Systematic, Evaluation and Diversity Engr. (JSEDE)
Publication Authors Engr. UMUKORO Akpo; Engr. Joseph Mene Anirejuoritse; & Engr. Ogwu Azubike
Year Published 2024-08-30
Abstract Journal of Systematic, Evaluation and Diversity Engr. (JSEDE)
Publication Title A Self-Optimizing Fuzzy Logic Model For Managing Vertical Handover In Heterogeneous Mobile Cellular Networks Download PDF
Publication Type journal
Publisher Journal of Systematic, Evaluation and Diversity Engr. (JSEDE)
Publication Authors Engr. UMUKORO Akpo; Engr. Joseph Mene Anirejuoritse; & Engr. Ogwu Azubike
Year Published 2024-08-30
Abstract Journal of Systematic, Evaluation and Diversity Engr. (JSEDE)
Publication Title MIMO-OFDM Techniques for Wireless Communication System: Performance Evaluation Review Download PDF
Publication Type journal
Publisher Journal of Science Innovation & Technology Research (JSITR)
Publication Authors Engr. UMUKORO Akpo; Engr. Ogwu Azubike; & Engr. Joseph Mene Anirejuoritse
Year Published 2024-08-30
Abstract This study evaluates the performance of MIMO-OFDM systems through an in-depth analysis of various modulation schemes, error correction techniques, and AI-driven optimization algorithms. Specifically, the research explores the impact of hybrid Genetic Algorithm (GA) and Artificial Bee Colony (ABC) algorithms in optimizing Bit Error Rate (BER) and Mean Square Error (MSE) within these systems. Additionally, the study examines the effectiveness of Forward Error Correction (FEC) codes, particularly concatenated codes, in enhancing the error control capabilities of MIMO-OFDM systems. The findings indicate that lower-order modulation schemes yield superior BER performance, while Rayleigh and Rician fading channels exhibit varying levels of efficiency depending on the modulation applied. Through MATLAB and Simulink simulations, the research provides empirical evidence of the benefits of integrating AIbased optimization and advanced coding techniques into MIMO-OFDM systems. The results suggest significant improvements in reliability and efficiency, offering valuable insights for the design and optimization of wireless communication systems. This work contributes to the growing body of knowledge in the field and lays the groundwork for future research focused on real-world applications, exploring further advancements in MIMO-OFDM technology.Keywords -Bit error rate, Multiple Input and Multiple Output (MIMO), MIMO-OFDM, Orthogonal Frequency Division Multiplexing (OFDM), Signal to noise ratio.
Publication Title MIMO-OFDM Techniques for Wireless Communication System: Performance Evaluation Review Download PDF
Publication Type journal
Publisher Journal of Science Innovation & Technology Research (JSITR)
Publication Authors Engr. UMUKORO Akpo; Engr. Ogwu Azubike; & Engr. Joseph Mene Anirejuoritse
Year Published 2024-08-30
Abstract This study evaluates the performance of MIMO-OFDM systems through an in-depth analysis of various modulation schemes, error correction techniques, and AI-driven optimization algorithms. Specifically, the research explores the impact of hybrid Genetic Algorithm (GA) and Artificial Bee Colony (ABC) algorithms in optimizing Bit Error Rate (BER) and Mean Square Error (MSE) within these systems. Additionally, the study examines the effectiveness of Forward Error Correction (FEC) codes, particularly concatenated codes, in enhancing the error control capabilities of MIMO-OFDM systems. The findings indicate that lower-order modulation schemes yield superior BER performance, while Rayleigh and Rician fading channels exhibit varying levels of efficiency depending on the modulation applied. Through MATLAB and Simulink simulations, the research provides empirical evidence of the benefits of integrating AIbased optimization and advanced coding techniques into MIMO-OFDM systems. The results suggest significant improvements in reliability and efficiency, offering valuable insights for the design and optimization of wireless communication systems. This work contributes to the growing body of knowledge in the field and lays the groundwork for future research focused on real-world applications, exploring further advancements in MIMO-OFDM technology.Keywords -Bit error rate, Multiple Input and Multiple Output (MIMO), MIMO-OFDM, Orthogonal Frequency Division Multiplexing (OFDM), Signal to noise ratio.
Publication Title REVIEW ON THE RECENT ADVANCEMENT IN ARTIFICIAL INTELLIGENCE (AI) GENERATIVE DESIGN AND MACHINE LANGUAGE APPLICATION IN SOLAR AND WIND ENERG Download PDF
Publication Type journal
Publisher INTERNATIONAL JOURNAL OF APPLIED & ADVANCED ENGINEERING RES
Publication Authors ONORIODE ERHINYODAVWE1 ; ODEWORITSE EYIDE2 ; MARVELLOUS ENUDI3 ; JOSEPH ANIREJUORITSE MENE4 ; OVIE SUNDAY OKUYADE5
Year Published 2024-07-31
Abstract es 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 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 REVIEW ON THE RECENT ADVANCEMENT IN ARTIFICIAL INTELLIGENCE (AI) GENERATIVE DESIGN AND MACHINE LANGUAGE APPLICATION IN SOLAR AND WIND ENERG Download PDF
Publication Type journal
Publisher INTERNATIONAL JOURNAL OF APPLIED & ADVANCED ENGINEERING RES
Publication Authors ONORIODE ERHINYODAVWE1 ; ODEWORITSE EYIDE2 ; MARVELLOUS ENUDI3 ; JOSEPH ANIREJUORITSE MENE4 ; OVIE SUNDAY OKUYADE5
Year Published 2024-07-31
Abstract es 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 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 Assessment of Channel Modelling, Demodulation, Coding in 5g Wireless Communication System Using Two-State Markov Chain
Publication Type journal
Publisher Journal of African Innovation & Advanced Studies (JAIAS)
Paper Link www.africanscholarpub.com
Publication Authors Engr. Joseph Anirejuoritse Mene; Engr. Umukoro Akpo; & Engr. Ogwu Azubike
Year Published 2024-08-31
Abstract In fifth-generation (5G) wireless communications, efficient data transmission is hindered by burst errors and packet losses resulting from multipath fading. T enhance reliability and mitigate degradation in 5G networks, it is crucial to analyse error patterns and sequences, This paper investigates and develops a two-state Markov-based error model tailored for 5G networks to capture the statistical characteristics of the error process. The model is derived from simulations of 5G wireless networks employing various modulation schemes-(Quadrature Phase Shift Keying QPSK), 16Quadrature Amplitude Modulation (16-QAM) and 64 Quadrature Amplitude Modulation (64-QAM) combined with low density Parity-Check (LDPC) and Turbo coding methods. By comparing the burst or gap error statistics from our 5G simulation with those generated by the two-state Markov error model, we demonstrate that the Markov model accurately reflects the error behaviour observed in the coded orthogonal frequency division multiplexing OFDM 5G simulations. The two state-state Markov model provides valuable insights into the error processes of 5G communications and allows for the evaluation of error control strategies with reduced computational complexity and shorter simulation durations. This approach facilitates a deeper understanding of error dynamics in 5G systems and supports the development of more effective error management techniques