Browsing by Author "Adeniran, Temitayo"

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    Application of Wireless Communication based Portable Electro cardiology System for Enhancing Health Care in Rural Areas
    (2024) Olawoyin, L.A; A.A. Oloyede; Nasir Faruk; Adeniran, Temitayo; Oloyede M.O ,; Adeshina M
    This paper presents the design and development of a microcontroller-based heartbeat monitor using a body sensor. The device uses wireless technology to detect the flow of blood through the finger and offers the advantage of portability over conventional recording systems This paper presents these challenges as well as solutions to these problems by proposing an architecture that allows a network to be formed between the patient and doctor to enable remote monitoring of patient by analyzing the data of patient received over a wireless system. The device consists of sensors, which are used to measure heartbeat and a central unit controls it. The readings from these sensors are further processed and sent via a GSM module to a remote location where it is displayed on a cell phone or central display board. The superiority of this device is shown in comparison to the traditional system.
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    Design and Implementation of an Automated Attendance Monitoring System for a Nigerian University using RFID
    (African Journal of Computing & ICT, 2019-06) Adeniran, Temitayo; Sanni, Y; Faruk, Nasir; Olawoyin, L.A.
    The attendance taking- process of any institution including universities and other tertiary institutions is an essential part of justifying the excellence of a particular student. Conventional attendance management system involving the use of attendance sheet and signing has proved to have some associated problems such as time wasting, fake attendance and misplacement of attendance sheet, thus making the system inefficient and ineffective. The application was developed using Microsoft Visual Basic and Microsoft Access as the database. This research work successfully designed and implemented an RFID-based Attendance Monitoring System (AMS) that automatically takes attendance and calculates the percentages via scanning the Unique Identifier (UID) of a tag which represents each student. The designed system proved to be effective such that it processes information gathered from the tags within an average of 219ms read time and a narrow error margin of 0 during the subjected trials.