FACULTY OF PHYSICAL SCIENCE

A 2-D resistivity survey was carried out in UBTH, Edo State, a sedimentary terrain of South- South Nigeria. The Wenner-Schlumberger alpha electrode configuration was engaged through out in this study. To obtain a good 2-D picture of the subsurface, the coverage of the measurements must be 2-D as well. The equipment used to take the resistivity values was the
Pasi Earth Resistivity meter. The data from each 2-D survey line was inverted independently with RES2DINV to give 2-D cross-sections with RMS error of 8.15%. A contoured pseudosection conveys a qualitative two- dimensional resistivity variation with
depth within the subsurface. The inversed model resistivity sections created models for the subsurface resistivity using an iterative smoothness constrained least square inversion and are interpreted to generate the subsurface geologic characteristics. Results from 2-D inversed resistivity section showed that the first line with resistivity of laterites ranges from 800-1500Ωm, while that of lateritic soils ranges from 120-750Ωm from depth 2-10m. It can be seen that the resistivity of the sub-surface soils corresponds with the resistivity of laterites, thereby confirming the existence of laterites deposits in the survey area. From the resistivity block section obtained from line 2, it can be seen that the survey area has laterite deposits and lateritic soils, the top of the soil is composed of laterites and as we go deeper, it becomes lateritic soil because of the increase in the composition of non-lateritic
materials with depth.

The Mechanic Booking Website is an online platform aimed at linking vehicle owners
with qualified mechanics, facilitating easy appointment scheduling and service
management. Conventional methods for securing mechanic services typically involve inperson visits or phone calls, resulting in inefficiencies, delays, and inconvenience. This project seeks to address that issue by offering a user-friendly digital solution that enables customers to book mechanic services through the internet, review service history, and receive emergency roadside assistance. The system is tailored for two primary users: customers and mechanics. Customers have the ability to register, search for nearby mechanics, schedule appointments, and leave feedback based on their experiences.
Conversely, mechanics can handle bookings, update their service availability, and
respond to customer inquiries.
The system allows users to seek out mechanics, arrange appointments, review service
histories, and process payments online from the convenience of their homes.
Additionally, it features a review and rating mechanism, enabling customers to evaluate the quality of services provided by various mechanics. The platform is constructed utilizing web technologies, including HTML, CSS, JavaScript, PHP, and MySQL for backend operations, thereby ensuring a responsive and accessible user experience.
In summary, this initiative plays a pivotal role in advancing the digital transformation of the automotive service sector by establishing a dependable and user-friendly online
platform for vehicle repairs. Plans for future enhancements may encompass the
integration of mobile applications, AI-driven service suggestions, and automated
reminders for maintenance, all aimed at further refining the user experience.

In today's rapidly evolving industrial landscape, ensuring the effective training and development of the workforce is paramount. This abstract provides an overview of the design and implementation of an innovative Online Industrial Training Monitoring System (OITMS) aimed at enhancing the efficiency and transparency of industrial training programs. The OITMS is a comprehensive web-based platform designed to streamline the management of industrial training processes across diverse industries. It integrates advanced technologies, including data analytics, user-friendly interfaces, and real-time communication tools, to facilitate seamless training program administration and monitoring. The key features of the OITMS encompass:
1. User-Friendly Interface: Intuitive interface for administrators and trainees.
2. Training Program Management: Create, schedule, and manage training programs with ease.
3. Real-time Progress Tracking: Monitor attendance, performance, and completion in real time.
4. Resource Allocation: Optimize resource allocation, from trainers to facilities.
5. Assessment and Evaluation: Conduct assessments and analyze results for program improvement.
6. Data Analytics: Generate reports and insights for informed decision-making.
7. Security and Data Privacy: Ensures data security and compliance with privacy regulations.
8. Scalability and Customization: Adaptable to unique training needs.
9. Remote Access: Facilitates participation from anywhere, anytime.
The OITMS promises to enhance training programs, empower workforce development, reduce administrative burdens, and boost operational efficiency. By implementing the Online Industrial Training Monitoring System, organizations can optimize their training programs, enhance the skill development of their workforce, reduce administrative burdens, and ultimately improve their
overall operational efficiency.