Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27963
Title: A Smart Real-time Attendance System using Smart Data Filtering and Selection Techniques
Authors: Abdullahi, Ibrahim Mohammed
Maliki, Danlami
Dauda, Idris Aji
Ogaji, A. Y.
Yakubu, S.
Keywords: Wi-Fi communication; smart data selection; User-defined attendance instruction; RFID; Fingerprint Biometrics
Issue Date: Apr-2024
Publisher: El-Amin University Journal of Computing (EAUJC)
Citation: I. M, Abdullahi, D. Maliki, I. A. Dauda, A. Y. Ogaji, S. Yakubu, (2024). A Smart Real-time Attendance System using Smart Data Filtering and Selection Techniques. El-Amin University Journal of Computing (EAUJC), 2024. Vol. 1. Issue 1, April, 2024. https://www.eaujc.el-aminuniversity.edu.ng
Abstract: Cooperate organizations, firms, companies, and educational institutions in Nigeria and the whole world are concerned about attendance of students and employees as the case may be, student overall performance is affected by it. In order to provide solutions for attendance management systems, a variety of techniques and technologies were used in the development of the attendance systems. However, most of these systems lack the flexibility of use and appropriate resource management. This paper presents the development of a smart real-time attendance system that uses smart data filtering and selection techniques to parse user-defined attendance instructions, optimize performance, and improve efficiency and flexibility. This system also employs a multi-factor approach in terms of security engaging the use of RFID technology and fingerprint biometrics to manage attendance records. Also, the system uses a wireless (Wi-Fi) communication approach for real-time communication. The performance of the system was mainly evaluated in terms of throughput, latency, and accuracy showing an average delay of 3 seconds per student, 21.95Mbps average throughput, and zero percent false acceptance.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27963
Appears in Collections:Computer Engineering

Files in This Item:
File Description SizeFormat 
Abdullahi_et al EAUJC.pdf1.18 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.