FACULTY OF PHYSICAL SCIENCES

This study has used the recently established combination between EAM and
the TB-SMA scheme to determine the n, p, q parameters values needed for the
calculation of total energy of the three FCC metals which include Ag, Pd and Pt. The EAM and TB-SMA was established to replace the old approach of determining parameters for calculating total energy because of its improved computational efficiency and accurate results. The Microsoft excel programming language has been employed in this study to reproduce results with good accuracy as compared with previous studies using other programming software.

This study evaluated and compared the performance of three statistical methods for hypothesis testing when comparing means between two populations: the t-test, Welch's t-test, and the z-test. The t-test assumes normally distributed data and equal variances, while Welch's t-test accounts for unequal variances, and the nonparametric Mann- Whitney U test is an alternative for non-normal data. The research aimed to determine the optimal test by formulating hypotheses, selecting appropriate test statistics, determining sample sizes, and implementing the tests using R programming. The data analyzed were the mean heights of NBA guards and forwards during the 2022-2023 season. A power analysis assessed the reliability, validity, and assumptions of the tests. The results indicated a significant difference in mean heights between guards and forwards, with guards being slightly taller on average. Importantly, the Welch's t-test consistently outperformed the standard t-test and z-test across varying sample sizes, demonstrating higher power and a greater ability to detect true effects while minimizing Type I and Type II errors. This superior performance is attributed to the robustness of Welch's t-test in handling unequal variances between groups, a common scenario in real -world data analysis.

This study focuses on the development of continuous lifetime distribution to model real life data sets. One approach to creating new distributions is the T-X (Tranformer- Transformed) method, which involves either adding a number of parameters to an existing distribution, raising a distribution to a power or combining existing distributions. In this study, the Paralogistic-Chen distribution is generated using the T-X (Transformer- Transformed) method of obtaining distributions. This involves a combination of the paralogistic and the Chen distributions. Some of the properties of the Paralogistic-Chen distribution are considered in this study and the application of the distribution will be considered to show how well the distribution fits the data and the Maximum Likelihood Estimation (MLE) is used to obtain the parameters of the distribution.

This study investigates the relationship between JAMB and Post-UTME scores at the University of Benin for the 2021/2022 academic session. Using quantitative methods, it explores the correlation and regression between these scores and their predictive power for academic performance. Reviewing existing literature, the study underscores the importance of considering both scores in admissions. Analysis reveals a positive significant but very low correlation between JAMB and PUTME scores and demonstrates JAMB scores having a weak predictive ability for Post-UTME performance. The study advocates for multi-measure assessment in admissions and concludes with recommendations for future research and policy improvements

Inventory management is one of the activities the stock manager undertakes to ensure optimal services of goods to effectively achieve its function. This obligation could only be made possible by automating the current manual and paper based inventory system. A web based inventory management system was proposed. A literature review was conducted on three technologies used in the inventory management that is Radio Frequency Identification (RFID), Barcode Technology and Near Field Communication (NFC). A review was also undertaken on the related works to identify the concept that could be adopted in the proposed system. A baseline study was performed to understand the challenges faced in the inventory management of goods. The results of the baseline study were analyzed and found that the challenges were attributed to the current manual inventory management system mainly due to human errors, incorrect inventory reporting and pilferage of items. The proposed prototype system was developed and tested and proved to be faster, efficient and more reliable than the manual and paper based system.

his project delves into the realm of network security through the development and evaluation of an Intrusion Detection System (IDS) that harnesses the power of feature selection and ensemble models. In today's digitally interconnected world, the protection of networks against malicious activities and cyber threats is of paramount importance. IDSs serve as the first line of defence in identifying and mitigating these threats, making their enhancement a critical area of research.
This study demonstrates the efficacy of combining feature selection methods with ensemble models to fortify IDS capabilities. By conducting an extensive review of existing IDS methodologies, collecting network data, and employing ensemble techniques, this research showcases that this approach surpasses traditional feature selection methods not only in accuracy but also in computational efficiency.
The use of ensemble models has rendered the IDS more resilient, adaptable to diverse attack patterns, and robust against the inherent noise in network data. These findings contribute significantly to the field of cybersecurity, shedding light on the potential of uniting feature selection and ensemble models to optimise IDS performance. The practical implications of this research extend to organisations and institutions seeking to bolster their network security posture. Elevating IDS accuracy and efficiency is a pivotal step towards safeguarding networks against the continually evolving landscape of cyber threats.

This study was design to investigate the adsorption capacity of ascorbic acid on organo-bentonite clay by studying the adsorption capacity of organo-bentonite clay. Kinetic parameters such as time and pH from the result obtained, amount adsorbed with time increase with increase with time until equilibrium was attained, while for pH increase in pH leads to increase in amount adsorbed while equilibrium was attained at pH 8 to 10. From the result obtained it will be seen that adsorption capacity varied with different parameter.

This project focuses on building a web-based ticketing system that uses QR codes and real-time attendance tracking to make event management faster, safer, and more efficient. The goal is to replace the old, paper-based ticketing method with a digital solution that allows users to buy, manage, and verify tickets online. When a user purchases a ticket, the system automatically generates a unique QR code that contains their event and ticket details. At the event venue, organizers can scan this code using any device with a camera to confirm the ticket’s authenticity. Once scanned, the ticket’s status changes immediately, preventing anyone from reusing it. The platform includes three main roles: Admin, Organizer, and User. Admins handle event approvals, monitor activities, and manage users. Organizers can create and manage their own events, while regular users can browse upcoming events, buy tickets, and even apply to become organizers if they want to host events. The system is built as a responsive web application, meaning it works well on both computers and mobile devices. It also updates attendance data in real-time, giving organizers an accurate view of how many people have checked in. Overall, this project provides a modern, secure, and eco-friendly way to handle event ticketing — proving how web technology and QR codes can simplify event registration and attendance management in today’s digital world.

Several network systems are built to communicate with one another as well as made available through service-oriented architectures. In this project, the client server architecture is used to develop a chat application. Firstly, a chat application is created for both Client and Server which is based on Transmission Control Protocol (TCP) where TCP is connection oriented protocol and is a reliable connection protocol. As security is the key factor while communicating over a network, so in this project, MySQL SSL protocol and hash function was used for the Database based on a numbers of benefits. The hash values of the real password and the random generated number (salt) is stored in the database. The original password is not stored on the system, making cracking of password much harder

This project focuses on the design and implementation of a web-based public complaint management system for the Benin Electricity Distribution Company (BEDC), aimed at addressing critical inefficiencies in traditional grievance handling processes. The system provides a structured digital platform that enables customers to submit, track, and monitor complaints related to power services, including outages, billing disputes, meter issues, and service delays, while allowing administrators to efficiently manage, process, and resolve grievances in a transparent and timely manner. Through a user-friendly web interface accessible via standard browsers, the platform eliminates challenges associated with manual complaint systems, such as lost records, delayed responses, lack of accountability, and poor tracking capabilities that have historically undermined customer trust and organizational credibility.
The study employs a systematic approach involving the investigation of existing manual and basic digital complaint management systems at BEDC, the identification of their limitations, and the development of an enhanced web-based solution using modern technologies, including HTML, CSS, JavaScript, PHP, and MySQL. Key features include secure user authentication, real-time complaint submission and tracking, automated workflows for efficient complaint routing, comprehensive database management for record-keeping, and administrative dashboards for monitoring and analyzing complaint patterns. The system incorporates robust security measures and accessibility features to accommodate diverse user groups while ensuring data privacy and integrity. By implementing this solution, the project addresses recurring issues such as delayed responses, limited transparency, and inadequate feedback
mechanisms that discourage customers from reporting grievances. The findings contribute to improved customer satisfaction, enhanced organizational efficiency through data-driven decision-making, and the advancement of knowledge on ICT applications in public utility administration, providing a scalable model for digital transformation in similar service sectors across Nigeria and beyond.