Browsing by Author "Isa, Abdurrhaman Ademola"

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    A Modified COST-231-Hata Path Loss Model for Typical Semi-Urban Environments in Nigeria
    (Kampala International University, 2024-04) Akanni, Jimoh; Isa, Abdurrhaman Ademola; Ogunbiyi, Olalekan; Olufeagba, Benjamin Jimmy
    Outdoor path loss propagation modeling is critical in the planning and design of the coverage area by the Global System for Mobile Communication (GSM). For the best prediction of GSM signal at any location within its coverage region, an accurate forecast based on critical characteristics and a mathematical model is necessary. Multiple studies on path loss propagation model prediction for GSM networks conducted at various semi-urban environments in Nigeria proclaimed that propagation path loss models may provide different results when utilized in environments other than those in which they were initially designed, that car drive-test methodology was used during the data collection, and that COST-231-Hata model provides closet prediction to the practical measure values. This paper created an appropriate path loss model based on the COST-23-Hata model and outdoor measurement at 1800 MHz frequency range for the semi-urban area of Kwara State, Nigeria. The created model was used and validated with the measured data and COST-231-Hata model at other different semi-urban environments in Nigeria. The results analysis shows that the created model performed satisfactorily given the closet path loss prediction to the practical measure path loss values at all the study locations. It also gives the lowest Square Root Means Error (SRME) and Standard Deviation (SD) in all the base stations that were tested in semi-urban environments. The newly created model would therefore be more appropriate for GSM 1800 network design and installation in semi-urban environments in Kwara State, Nigeria, as well as any other semi-urban locations in Nigeria.
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    AJ-Olu-1: An Innovative Path Loss Model for Typical Nigerian Urban Environments
    (Kampala International University, Uganda, 2023-04) Akanni, Jimoh; Isa, Abdurrhaman Ademola; Ogunbiyi, Olalekan; Olufeagba, Benjamin Jimmy; Sanni, Tunde Abdulraham
    The modeling of outdoor path loss propagation is critical in the planning and construction of the Global System for Mobile Communication (GSM) coverage area. For GSM signal prediction at any location inside its service region, a precise forecast based on critical characteristics and a mathematical model is required. Numerous research findings on path loss propagation model forecast for GSM mobile networks conducted in various cities in Nigeria revealed that the COST 231-Hata model gives closer prediction to most of the practical measure path loss values. Based on the existing COST-23-Hata path loss model and outdoor measurements at 1800 MHz frequency range within Ilorin metropolis, this paper proposed a suitable path loss model. The developed model was used and validated in various locations throughout Ilorin city with the measured and COST-231 Hata models. The analysis of the results revealed that the developed model performed satisfactorily in terms of the closest path loss prediction to the practical measure path loss values at all study locations. It also has the lowest Square Root Means Error and Standard Deviation (SD) of any Base Station (BTS) tested in Ilorin, Nigeria. As a result, it is concluded that the newly developed AJ-Olu-1 model is more suitable for GSM 1800 network design and installation in Ilorin City, Nigeria, as well as other cities in Nigeria and other cities outside Nigeria with similar environments.
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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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    Development and Implementation of a Prototype Automatic Rain-Sensor Car Wiper System
    (Department of Pure & Industrial Chemistry, University of Port Harcourt, Nigeria, 2022-11) Akanni, Jimoh; OJO, Ayodapo Oluwasegun; Abdulwahab, Abdurasaq; Isa, Abdurrhaman Ademola; Ogunbiyi, Olalekan
    Various studies have been conducted over the years on how to reduce driver distractions while driving, but with little effort on the distraction that could be caused by manually operated wipers while driving whenever it rains. Drivers frequently take their hands off the steering to turn ON/OFF and adjust the wiper speed when driving during rain, which causes a loss of concentration and increases the risk of a car accident. This paper presents an automatic car wiper prototype system that adjusts the speed of the wiper based on the intensity of the rain. The system also includes an audio alert that warns the driver to stop driving during heavy rain. The rain sensor/intensity and servo motor; which regulates the wiper's speed, were interfaced by an ATMega328 (Arduino Uno A000066). It performed satisfactorily, with average response times of 0.78 seconds, 1.95 seconds, and 6 seconds for rainwater detection, increasing rain intensity, and no rain detection respectively. The wiper speed was 15 rpm at moderate rain intensity and 32 rpm at heavy rain intensity. The wiper average response time and speed shows that it is a system that eliminate delay as compared to manually operated car wiper system. The developed system will reduce driver distractions while driving thereby reduces the risk of a car accident. As a result, this system can be combined with new technologies seen in contemporary vehicles.
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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.