School of Electrical Engineering and Technology (SEET)

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School of Electrical Engineering and Technology (SEET)

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Author: search.filters.author.Oyewobi S. Stephen

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    An Improved Rain Activated Automatic Window
    (Biennial Engineering Conference, School of Engineering and Engineering Technology (SEET), 2013) Oyewobi S. Stephen; Okwori M; Achonu A. O; Waheed A. M
    Meteorological conditions like temperature, wind, clouds, and precipitation (rainfall) influence the condition of comfort inside a house, especially through wind doors and windows; hence the need for proper control activator (either to is close aimed or at open) having of window control made convenient to home owners by the use of a switch to open windows in a an improved automatic window with rain or close the window. The design was conceived after observing the stress mechanical windows give us in our control of it to let air and light come into the house; therefore, advancement in electronics technology was used to design this automatic window. However, unlike existing automatic windows, a rain sensor has been included in this work to help shut the window automatically when rain is falling. To achieve this, a moisture sensor is incorporated in the design to sense rainfall, a forward and reversing DC Motor to move the window pane back and forth, a bistable circuit to control the movement of the DC Motor and a power supply to power the system.The design of ble circult to control work effectively in convenient control of windows for the comfort of the homes and in protecting the homes from rainfall. Keywords: Automatic window, rain activator, mechanical window, electronics, DC motor.
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    An Improved GSM Technology-Based Microcontroller Multi-Sensor Home Security and Monitoring System
    (International Engineering Conference (IEC), School of Engineering and Engineering Technology (SEET), 2015) Oyewobi S. Stephen; M. Okwori; E. U. Mpkuma; W. M. Audu
    With increasing rate of crime all over the world, and with no pointer to this rate of crime abating anytime soon, home security has now become a major concern. Therefore most people; rich or poor are taking measures from highly sophisticated to very crude methods to prevent intrusion. This work presents a GSM technology-based home security and monitoring system. However, unlike the traditional magnetic switch alarms equipped on doors and windows, this system has incorporated a fire detector, a motion sensor and a moisture (rainfall) sensor. On any attempt of a break in, rainfall or possible smoke or fire a short message service (SMS) is sent to the house owner. The system is built using a programmed microcontroller interfaced with mobile phone (NOKIA 1209) such that the three major buttons of the mobile phone are switched at intervals to send a message to the owner of the house anytime there is an intruder, rainfall or fire accident. The system was tested and it worked on attempt of intrusion, rainfall (water) and smoke.
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    Performance of the Recursive One-Sided Hypothesis Testing Technique under varying Signal to Noise Ratio Conditions in Cognitive Radio
    (Conference on Global and Emerging Trends (ICGET), 2018) JO Okonkwo; AJ Onumanyi; BA Salihu; HB Salau; Oyewobi S. Stephen
    The recursive one-sided hypothesis testing technique (ROHT) is one example of an adaptive threshold estimation technique for energy detection in cognitive radio. In this paper, a preliminary study of the ROHT algorithm is carried out to examine the effect of varying SNR conditions on the performance limit of the algorithm
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    Optimized Forward Consecutive Mean Excision Algorithm for Adaptive Threshold Estimation in the Energy Detector
    (International Conference on Global and Emerging Trends (ICGET), 2018) H Abdullahi; AJ Onumanyi; S Zubair; HB Salau; H Ohize; Oyewobi S. Stephen
    In this paper, we provide a new model for optimizing the parameters of the FCME algorithm for autonomous threshold estimation in cognitive radio . our new model ensure that FCME is made capable of autonomously adjusting its parameters value based on the cuckoo search optimization algorithm
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    Performance Analysis of Path Loss Models for Wireless Communications at 3.5 GHz and 23 GHz in a Regular Urban Environment
    (IEEEE, 2023) Farouq E. Shaibu; Elizabeth N. Onwuka; Nathaniel Salawu; Oyewobi S. Stephen
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    A Smart Optimization-Enabled Omnidirectional Dipole Antenna Design for Campus and Conventional FM Radio: A Case Study of 92.3 MHz Campus Radio FUT Minna,
    (ATBU Journal of Science, Technology and Education, 2023) O. Akamike; C. Alenoghena; Oyewobi S. Stephen
    An antenna performs the most important function in any communication system, this underscores the reason most researchers in the field of antenna design pay close attention to specifics in designing smart antennas. Radio on the other hand is a medium or channel through which information can be disseminated to the audience, to achieve this, an antenna is required. This paper presents a novel optimization based technique to design a smart antenna to meet the demands of both educational institutions and the broadcasting industry. There has been a paradigm shift from conventional antenna designs to smart antennas designs to meet the ever changing world of communication where end users demand high quality of service, and high connectivity, especially with the roll out of 5G wireless network and other evolving technologies. Optimization techniques can be leveraged when the available resources cannot be replaced. A case study of Search FM 92.3MHz FUT Minna has been carried out to address the poor signal coverage within Minna and environs.
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    Deployment of an Artificial Intelligent Robot for Weed Management in Legumes Farmland
    (ABUAD Journal of Engineering Research and Development (AJERD), 2023-08-14) A. A. Adeniji; K. E. Jack; M. K. Idris; Oyewobi S. Stephen; H. Musa; A. O. Oyelami
    This groundbreaking research introduces an AI-based approach for revolutionizing weed management in legume farmland, addressing the limitations of traditional methods and introducing a new era of cost-effective and precise weed detection and removal. Traditional methods of removing weeds from farmland involving machinery or chemicals often resulted in high costs and imprecise outcomes. To address these challenges, an advanced image recognition algorithm was proposed, which harnessed smart machines to minimize costs and environmental risks. By utilizing computer vision technology, weeds were accurately identified and targeted for removal. A machine learning model was trained using relevant datasets to enable precise weed management. The AI-powered robot, equipped with advanced image recognition algorithms, demonstrated exceptional accuracy and speed, performing weed removal and decomposition 1.2 times faster than traditional manual labour. This breakthrough in weed management technology offers farmers a means to optimize crop yields, enhance food production, and minimize the environmental impact associated with chemical herbicides. A prototype of the robot was fabricated and evaluated in real-world farming conditions. Field tests were conducted on a bean farm and it’s demonstrated the robot's exceptional accuracy, with only a 2% deviation from the actual weed quantity. This research showcased the potential of AI-based weed management systems in legume farming, offering cost-effective and precise weed detection and removal. This research sets a precedent for the integration of AI in modern agriculture, driving the industry toward a more environmentally conscious and economically viable future. The AI-based weed management system empowers farmers, ensuring bountiful harvests, increased profitability, and a greener, more sustainable tomorrow while attention should be given to manufacturing this model for industrial and or commercial applications.
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    Enhancing Industrial Workplace Safety With Internet of Things Using Arduino Micro-Controller
    (SIPET & SEET, Nigeria Journal of Engineering and Applied Sciences (NJEAS), 2023) Oyewobi S. Stephen; Usman A. U,; Innocent C; Abdulbaki O. A; Jack K. E
    IoT (Internet of Things) technologies are widely used in many industrial sectors as a result of their rising technological performance and reduced buying costs. For these reasons, IoT has been considered for use in many emerging fields of application, such as workplace safety. The industry workplace which comprises human and nonhuman factors is becoming more saturated on a daily. These rising activities expose and make the industrial environment prone to uncertainties, e.g. accidents, injuries, explosions, fire outbreaks, and other industrial hazards that undermine man’s industrial environment safety. However, over the past few years, IoT technologies have proffered industrial solutions for a variety of industrial projects, particularly to dynamically manage safety levels at complex workplaces. In this work, an enhanced IoT-based industrial safety system is developed and implemented using an Arduino microcontroller. The Arduino serves as an interface between the different sensors that sense signals from the environment and send messages to the Buzzer/GSM module/Internet. The Arduino is programmed to send a signal and activate the buzzer whenever the sensors sense a value <25oc or >35oc (for Temperature sensor) or low intensity (Light sensor) or smoke (Gas sensor) in the environment. A short message (SMS) is delivered to the safety operator/manager’s phone whenever the gas sensor, temperature sensor, or light sensor senses gas leakage, low light intensity, and temperature respectively. It will also activate a buzzer and upload data to a web server for remote access. A performance test of the system shows that the system was able to sense gas leakage, low light intensity, and temperature very accurately at a low response time and over a wide range effectively.
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    Conservation of Mobile Terminal’s Battery Life Using Dynamic Power Control Algorithm
    (SAP, Journal of Wireless Networking and Communications, 2012) Oyewobi S. Stephen; Elizabeth N. Onwuka
    Most of our activities today are tied around being able to make a call or connect to the Internet with our Mobile devices. However, to optimally utilize the network and deliver the needed satisfaction to the user the mobile device needs to be powered. Sadly most mobile devices are powered by energy-limited batteries, which impose a constraint on the mobile terminal optimal performance and on the network utility. As a result, special emphasis is now being laid on extending the battery life of mobile devices. In this work, we present a simple and effective power control algorithm, which conserves battery power by dynamically responding to real-time network conditions to adjust mobile terminal’s transmit power. BER (bit error rate) in measurement reports obtained from signals received from the mobile terminal were used to estimate signal quality that helps to determine the network conditions and adjust mobile terminal’s transmit power accordingly. Our algorithm was tested using simulation models, and our results were compared with the Stepwise algorithm, which is a popular power control algorithm in literature. A reasonable improvement was recorded for length of operation time and battery-energy saved for the mobile terminal over stepwise algorithm.
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    Polynomial based Channel Estimation Technique with Sliding Window for M-QAM Systems
    (The Science and Information Organisation, International Journal of Advanced Computer Science and Applications, 2016) O. O. Ogundile; M. O. Oloyede; F. A. Aina; Oyewobi S. Stephen
    Symbol Assisted Modulation (PSAM) channel estimation techniques over Rayleigh fading channels have been analysed in recent years. Fluctuations in the Rayleigh fading channel gain degrades the performance of any modulation scheme. This paper develops and analyses a PSAM Polynomial interpolation technique based on Least Square (LS) approximations to estimate the Channel State Information (CSI) for M-ary Quadrature Amplitude Modulation (M-QAM) over flat Rayleigh fading channels. A Sliding window approach with pilot symbol adjustment is employed in order to minimize the computational time complexity of the estimation technique. The channel estimation performance, and its computational delay and time complexity is verified for different Doppler frequencies ( fd), frame lengths (L), and Polynomial orders (P-orders). Simulation results show that the Cubic Polynomial interpolation gives superior Symbol Error Rate (SER) performance than the Quadratic Polynomial interpolation and higher P-orders, and the performance of the Polynomial estimation techniques degrade with increase in the P-orders