http://localhost:8080/xmlui/handle/123456789/896 2026-04-05T21:15:45Z 2026-04-05T21:15:45Z TATAMA, Barka Fo http://localhost:8080/xmlui/handle/123456789/2236 2024-06-21T18:53:25Z 2019-12-01T00:00:00Z

Engineering and Deploying a Cheap Recognition Security System on a Raspberry Pi Platform for a rural Settlement TATAMA, Barka Fo Security is one of the most fundamental challenges of mankind, providing affordable devices for apprehending criminals. Using smart technology is on the rise and the ability to have full surveillance records of both authorised and unauthorized entrance to designated facility or important resource in a timely manner is highly desirable in modern society of today. This paper proposes the use of Histogram of Oriented Gradients (HOG) to train a model capable of recognising authorised personnel on a raspberry pi device for the purpose of security and ease of access to vital infrastructure. HOG was the preferred choice because it is not computationally intensive as compared to Convolutional Neural Networks (CNN) and most other relatively comparable computational algorithms. The HOG network detect faces and sends a report to Firebase Database and an image is also sent to Google Cloud Storage (GCS) a package on the Google Cloud Platform (GCP). Both data from Firebase and GCS are sent to a companion android application where the user can view who entered specific locations, at specific time with accompanying pictorial evidence. The recognition system was deployed on a raspberry pi device that’s feeds in visual data via an inexpensive camera. Collectively, the proposed system is a relatively cheap smart technology security system with inherent ability to accomplish real-time surveillance tasks using widely penetrated android phone technology while maintaining low computational overheads.

2019-12-01T00:00:00Z TATAMA, Barka Fo http://localhost:8080/xmlui/handle/123456789/2235 2024-06-21T18:52:20Z 2019-01-01T00:00:00Z

A Proposed Mobile Voting Framework Utilizing Blockchain Technology and Multi-Factor Authentication. TATAMA, Barka Fo Voting is fundamental to any consensus-based society and is one of the most critical functions of democracy. Mobile voting (m-voting) was utilized as a means for voters to easily and conveniently cast their votes using their mobile devices which have been the most adopted means of communication but has a major problem which is safely securing the casted votes and avoiding any form of tampering. In this paper, we propose an m-voting framework that utilizes blockchain technology to securely store the casted votes and multi-factor authentication to authenticate the voters before they cast their votes while also providing an easily accessible, secure and transparent m-voting system.

2019-01-01T00:00:00Z USMAN, Adamu Sulaiman http://localhost:8080/xmlui/handle/123456789/1913 2024-06-13T14:34:14Z 2015-01-01T00:00:00Z

Internet of Things: Impact on Economy USMAN, Adamu Sulaiman The Internet of Things is expected to bring a revolution in the way objects around us communicate with one another and human beings and the way this information will be gathered and distributed. This also means a resultant increase in internet usage and the challenges of securing information over the internet. This paper looks at what components make up the internet of things and its business viability in our ever changing world. Despite security challenges of communicating over the internet, it still remains the leading means of communication and our dependence on the internet and mobile technology is only expected to increase.

2015-01-01T00:00:00Z Adelakun-Adeyemo, Oluwatoyin Adelaiye, Olusegun I. Ochokwunu, H http://localhost:8080/xmlui/handle/123456789/1707 2024-06-07T10:57:21Z 2017-01-01T00:00:00Z

A Comparative Evaluation of the Effectiveness of Touchscreen and KeyPad Input Styles on Mobile Phones Adelakun-Adeyemo, Oluwatoyin; Adelaiye, Olusegun I.; Ochokwunu, H Mobile phones have become a vital part of our everyday activities for personal, business and educational purposes. A lot of interaction with the mobile phone is a via text input. This research presents an empirical evaluation of the effectiveness of the touchscreen and keypad interactive styles for text input on mobile phones. An experiment was setup to investigate any differences between four mobile input styles: Touchscreen QWERTY, Touch screen Multi-press, Keypad QWERTY and Keypad Multi-press. The research found no significant difference between the touchscreen keyboards. However, there was a significant difference (p=0.016 at 95% confidence) between the physical keyboards. Keypad QWERTY was the fastest (27.5WPM) while Keypad multi-press was the slowest (18.1WPM). Results from post-experiment questionnaires showed no difference in learnability between the four methods but, differences occurred in error rate and efficiency. It is also shown that results of our experiment are comparable to those presented by earlier research which developed a predictive model based on Fitt‟s law.

2017-01-01T00:00:00Z