SEET http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/11 2026-02-17T23:39:06Z 2026-02-17T23:39:06Z Usman, A. U. Ameh, I. A. Mohammed, A. S. Bala, A. S. http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29500 2025-05-12T07:58:40Z 2018-01-01T00:00:00Z

Title: Interference Mitigation Techniques for D2D Communication in 5G Networks: A Survey. Authors: Usman, A. U.; Ameh, I. A.; Mohammed, A. S.; Bala, A. S. Abstract: The astronomical escalation in wireless data traffic has attracted serious attention recently. With an estimated over fifty billion devices on the cellular network by the end of 2020, the current infrastructural status will be insufficient to service the anticipated demands. As a result, talks on the 5th generation (5G) are in progress at both the academic and industrial levels. Apart from improved capacity; energy efficiency, decreased latency (near zero), and heightened reliability have been foreseen as defining characteristics of 5G. This would, however, be accompanied by a lot of issues and pressure on the cellular network. Device-to-Device (D2D) communication is one of the proposed solutions to the anticipated problems. With D2D communication, proximal devices can form links directly to each other, thereby reducing the pressure on the Base Stations (BS) significantly, and improving reuse of spectrum, throughput, coverage, energy efficiency, and reduction of end-to-end latency. Furthermore, it will create a medium for more peer-to-peer as well as location-based services. Interference management between D2D and Cellular User Equipment (DUEs and CUEs) is seen as a critical success factor in the deployment of D2D communication, since both sets of UEs share same licensed spectrum. In this paper, a survey of some existing approaches to interference management in a D2D-enabled (two-tiered) 5G network. Further analysis of the surveyed interference management schemes reveals the inadequacies of the techniques to address on their own, the inherent incidences of cross-tier and co-tier interfering signals in two-tiered 5G networks, and hence give room for further research.

2018-01-01T00:00:00Z En Marcus, Tay Ching Ibrahim, Mohd Haniff Ngajikin, Nor Hafizah Azmi, Asrul Izam David, Michael http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/27218 2024-04-18T15:09:42Z 2023-01-01T00:00:00Z

Title: High Accuracy Model for Measurement of Ozone Concentration Generated by Corona Discharge Ozone Generator Authors: En Marcus, Tay Ching; Ibrahim, Mohd Haniff; Ngajikin, Nor Hafizah; Azmi, Asrul Izam; David, Michael Abstract: Measurement of ozone concentration via commercial ultraviolet based ozone monitor is fast and reliable, but expensive. Thus, we derive an empirical model based on experiment result to measure ozone concentration using output sample flow rate from corona discharge ozone generator. Experiment result shows the higher the ozone generator output sample flow rate, the higher the ozone concentration generation. The model is verified for ozone concentration from 514.4 ppm to 973.0 ppm and output flow rate from 1.31710-5 m3 s-1 to 2.54010-5 m3 s-1. Linearity test confirms derived model to overestimate less than 0.3556 % compared to actual ozone concentration.

2023-01-01T00:00:00Z Olaniyi, Olayemi Mikail Dogo, E. M. Nuhu Kontagora, Bello Treiblmaier, H. Abdulsalam, Y. S. Folawiyo, Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/19030 2023-05-21T12:56:05Z 2022-04-20T00:00:00Z

Title: A Secure Electronic Voting System Using Multifactor Authentication and Blockchain Technologies Authors: Olaniyi, Olayemi Mikail; Dogo, E. M.; Nuhu Kontagora, Bello; Treiblmaier, H.; Abdulsalam, Y. S.; Folawiyo, Z Abstract: This paper presents a distributed e-voting system that solves the problems of vote-rigging, voter impersonation, and vote falsification, all of which are prevalent in traditional paper ballot systems. In general, the digitization of democratic decision-making is convenient, fast, and cost-saving but can become a gateway for electoral fraud if not properly secured. Authentication and the simultaneous achievement of confidentiality, integrity, and availability represent major challenges toward establishing e-voting as a reliable means of democratic decision-making. In this paper, a combination of multi-factor authentication (MFA) and blockchain techniques is used to secure electronic voting. MFA hampers the compromising of voters’ identities and allows for easy verification, while blockchain technology protects the integrity of the votes and ensures the verifiability of the cast votes. Combining a facial recognition algorithm and RFID authenticates and authorizes voters to participate in the election process. A smart contract implemented on an Ethereum network provides the required measures of integrity and verifiability for secure e-voting. Performance evaluations of the proposed approach show that the MFA yielded a 0.1% false acceptance rate and a 0.8% false rejection rate for 100 voters, respectively. This illustrates that the proposed technique can solve issues of authentication and integrity, thereby paving the way for free, fair, and credible e-democratic decision-making in digitally enabled voting scenario.

2022-04-20T00:00:00Z Adeniyi, Samuel Olamide, Ojekunle Pa Jack, Kufre Salami, Taye Hassan http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/19003 2023-05-18T07:30:52Z 2023-04-05T00:00:00Z

Title: Data logging Model for Metropolitan Vehicle Movement Monitoring and Control System Authors: Adeniyi, Samuel; Olamide, Ojekunle Pa; Jack, Kufre; Salami, Taye Hassan Abstract: Abstract— The automotive industry has experienced a spectacular expansion in the last decade, with an increase in number of cars in metropolitan cities. Maintaining track of automobiles based on their plates number in order to manage vehicular traffic properly in the city has posed difficulty. This research presents an artificial intelligence-based technology technique (YOLO) for tracking vehicle movement based on the vehicle's plate number with data logging model and a centralized database structure for vehicles identification and monitoring, using other techniques such as image processing and IoT mechanism for detection and recognition accuracy. In order to create an Intelligent Plate Number Recognition (IPNR) System, this study employs artificial intelligence, computer vision (image processing), laser scanning technologies, and convolutional neural networks (CNN). This model concepts and computations underpin potential solutions to this issue, guaranteeing a range of approaches to achieving the desired outcome. This work focuses on plate number identification using the contours tracing approach, as well as edge identification and sharpening using optical character recognition algorithm based on OpenCV libraries. The vehicle is monitored on real time using the GPS technology where the vehicle plate image was captured with the Pi camera to produce high-quality images. This research employs a wide range of techniques across the board (from license plate detection to character recognition) to boost the system's speed as much as feasible with negligible overhead. The studies demonstrated how useful image processing tools were used for data logging, and character recognition when combined with vehicles in urban environments. To carry out monitoring and management of the system, a responsive web application was designed for data logging. Description: Nil

2023-04-05T00:00:00Z