Browsing by Author "Alao, Rasaq Atanda"

Now showing 1 - 4 of 4
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    AN AUTOMATED PROTOTYPE SYSTEM FOR ALCOHOL LEVEL DETECTION IN DRUNK DRIVERS AND VEHICLE CONTROL
    (Faculty of Engineering, University of Maiduguri, Nigeria, 2023-03) akanni, jimoh; Adewusi, Bose; Isa, Abdurrhaman Ademola; Alao, Rasaq Atanda
    Drunk driving is one of the principal contributors to road accidents in Nigeria. Passengers, other motorists and the driver's life are all at risk because of this behavior. The aim of this study is to develop a system that will automatically detects drunken drivers based on the proximity to the steering wheel and prohibits the car from been start. The method employed in this research is the use of an MQ-3 sensor to measure the level of alcohol in the driver's breath in the area around where the driver sits in a car and compare it to the Nigerian guidelines for acceptable blood alcohol concentration (BAC) levels. In addition, the alcohol sensor is protected from obstruction (coverage) by an MH infrared proximity sensor. Also, a red light alert is incorporated to sensitize the passenger whenever the driver is drunk. The result shows that the system performed satisfactorily. It prompt quicker reaction by prohibition of drunk drivers within a distance of 36 cm from the steering wheel from being able to start the car as well as sensitizes the passenger through blinking red light. It also prevents the systems sensor from been cover (obstruction) by drunk drivers within a distance of 5 cm. As a result, the system can be combined with the new technologies of modern vehicles to enforced don’t drive when drunk rules which are often violated by drunk drivers.
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    Enhancing Indoor Positioning Systems Accuracy with Optimal Placement of Wi-Fi Access Points
    (Tafila Technical University, Jordan, 2024-03) Isa, Abdurrhaman Ademola; Akanni, Jimoh; Abdulrahman, Amuda Yusuf; Alao, Rasaq Atanda
    The indoor positioning system (IPS) has generated a considerable amount of interest in recent times, and the prosperity of the system’s development is heavily reliant on its ability to accurately locate objects. The performance measure is significantly impacted by the location of access points (APs). However, the bulk of previous studies have tended to overlook the matter of optimal AP placement and efficient design for IPS due to the dependence on pre-existing installed APs, which were chiefly formulated for coverage objectives. In this investigation, an optimal placement function – which is reliant on mean and variance – has been developed using received signal strength (RSS) measurements data. The performance evaluation in this research is based on experimentation and compared with currently employed placement methods. The results indicate that the most optimal function value for the suggested method is 1.5714, which is substantially smaller than the values for rectangular, triangular, and triangular II, which are 12.468, 5.5364, and 8.5147, respectively. When the recommended placement strategy is employed instead of the existing ones, the weighted K-nearest algorithm (WKNN) for location error, using average RSS as the fingerprint radio map database, yielded a heightened degree of precision.
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    Evaluation of Power Loss Based on Backward Forward Sweep Algorithm: A Case Study of Igosun Feeder Offa, Nigeria
    (Ekiti State University Ado-Ekiti., 2023-02) Abdullateef, Ayodele Isqeel; Gbenle, Abimbola Joan; Alao, Rasaq Atanda; Raji, Bello Sunday
    Electrical energy is usually generated long distances from the load centres; therefore, it needs an extensive network of conductors to bring it to the consumers. Due to the long distance covered by these conductors, power losses occur in the distribution system. Power losses affect the system's efficiency, reducing grid reliability, voltage instability, needless switchgear tripping, and blackouts. Power losses could be technical and non-technical. Technical losses are inherent due to the component on the distribution network; thus, it is unavoidable and can only be reduced, not eliminated. This paper evaluates the power loss on the 11 kV Igosun distribution feeder, Offa, Kwara State using the backward forward sweep algorithm implemented in MATLAB platform. The data, extracted from the feeder's topology, were used to calculate the corresponding real and reactive power load at the respective buses. The results show a total real power loss of 873.5688 kW and a total reactive power loss of 504.3703 kVAR on the feeder. The knowledge of the feeder's power losses will benefit electric power utilities to improve the quality of the power supply and revenue generation.
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    Network Reconfiguration for Power Loss Reduction on Distribution Feeder Using Particle Swarm Optimisation: Case study of 11kv Feeder in Ilorin, Nigeria
    (Federal University of Oye-Ekiti, 2023-03) Abdullateef, Ayodele Isqeel; Raji, Bello Sunday; Gbenle, Abimbola Joan; Salami, Momoh Jimoh Eyiomika; Alao, Rasaq Atanda
    The distribution system is the largest segment of the electrical power system and the final stage in delivering electricity to consumers. It experiences power losses which could be technical or non-technical due to its radial configuration and connected components. Technical losses occur as energy dissipation in the form of heat in the system components, which is unavoidable. It affects the efficiency of the system and increases operational costs. Therefore, the reduction is essential for adequate power supply and improvement in utility revenue generation. This study focuses on reducing power losses on 11 kV Taiwo distribution feeder in Ilorin using the Network reconfiguration approach. The feeder was modelled, and its power losses were evaluated based on the Backward Forward Sweep method suitable for the radial network. The reconfigured network was optimised using the Particle Swarm Optimisation technique. The study shows that the values of feeder real power losses before and after reconfiguration are 176.883 kW and 121.972 kW, respectively. Further improvement was, however, achieved when PSO was used for the reconfiguration, as the power loss value stands at 98.465 kW. This is 44.33 % reduction compared to the initial power loss value and 19.273 % after reconfiguration. Furthermore, the values of the reactive power losses before and after reconfiguration are 9.474 kVar and 6.527 kVar, respectively, amounting to a 31.11 % reduction. However, PSO reduces the value to 3.101 kVar, which is 67.27 % of the initial value. Thus, radial distribution network reconfiguration using PSO has proven to be a robust method for reducing power loss in the distribution network.