Browsing by Author "Yahaya, A"

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    Development of an automated healthcare record management system
    (Faculty of Engineering, Adeleke University, Ede, Nigeria, 2019) Yahaya, Suleiman Abimbola; Jilantikiri, L. J.; Hassan, K. A; Akande, K. A; Yahaya, A
    This project focused on improving mobility for a blind person by creating an obstacle and pit detecting walking stick using ultrasonic sensors. The project comprised of both hardware and software. The hardware consists of ultrasonic sensors, buzzers and a microcontroller, while the software consists of Arduino Integrated Development Environment (Arduino IDE), which was used to program the microcontroller. A Polyvinyl Chloride (PVC) casing was used to house the hardware components. The ultrasonic sensor that detects obstacles was programmed to detect obstacles at a distance of 100 cm or below and causes the buzzer to sound so as to alert the blind person. Another ultrasonic sensor was programmed to identify pit at a depression of 18 cm and above. This stick was tested to detect obstacles by 80 different blindfolded individuals within a room with different objects placed at different positions. Results showed that the percentage reduction of collision rate when comparing the developed ultrasonic walking stick to a normal white cane is 90.1%. This shows that the ultrasonic walking stick is reliable for domestic use by a blind person.
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    An Empirical Study on the Run Length Properties of the Side-Sensitive Modified Group Runs Double Sampling (SSMGRDS) Control Chart for Monitoring the Process Mean Shifts
    (Academic Research Society of Malaysia, 2020) Umar, A. A.; Abubakar, S. S.; Dikko, H. G.; Yahaya, A; Oyeyemi, G. M.; Falgore, J. Y.; Ieren, T. G.
    The side-sensitive modified group runs double sampling (SSMGRDS) control chart integrates the side sensitive modified group runs (SSMGR) and double sampling (DS) charts concepts. The hybrid SSMGRDS chart which incorporates the sensitivity of its necessary control charts is an efficient procedure to enhance the mean shift detection speed. The average number of observations to signal (ANOS), percentiles of the number of observations to signal (PNOS) and median number of observations to signal (MNOS) as performance measures were employed to evaluate the performance of the SSMGRDS chart in this study. The results obtained indicates that the SSMGRDS chart is more important for large process detection mean shifts quickly as the shifts size increases. Besides, an extensive use of the MNOS and PNOS to evaluate the performance of the SSMGRDS chart leads to overall understanding of the performance of chart’s due to the fact that the entire run length (RL) distribution has been considered. Generally, the findings herein unveil the RL properties of the SSMGRDS chart which will motivate professionals to use the chart for effective monitoring of their processes.