The bearing capacity of subgrade soils is necessary for the design and construction of transportation

infrastructure, such as roads, and airfields. The determination of bearing strength of soil could be

tedious, expensive and time-consuming. There is need to establish models that would predict the

bearing strength parameters such as California bearing ratio (CBR) using simple and less time-

consuming laboratory tests. This study examines the relationship between CBR and index properties of

This project focuses on the design and construction of a vehicle speed detection system using infrared

(IR) sensors and an Arduino-based microcontroller (Atmega328). The system aims to enhance road

safety by monitoring and reporting vehicle speeds on highways, particularly in areas prone to

accidents due to over-speeding. With the increasing rate of road traffic accidents caused by reckless

driving, especially on highways, this system serves as a preventive measure by alerting drivers when

The study assessed the durability of stabilized earth brick modified with Sawdust Ash (SDA) and

Terrasoil Nano chemicals (TNC). The study determined the geotechnical properties and the chemical

compositions of laterite. Physical properties of Saw Dust calcined at 600°C and resulting to SDA

were assessed using standard methods. Modified Laterite brick with varying proportions of SDA to

soil (0, 2, 4, 6, 8, and 10)% and TNC to soil (0, 2 and 5)% were used to make cube specimen of

Metal Inert Gas (MIG) welding is pivotal in industrial applications due to its efficiency and quality,

with solidus temperature critically influencing weld integrity. This study investigates the effects of

current (240–270 A), voltage (23–26 V), and wire feed rate (2.4–3.0 mm/s) on solidus temperature

of mild steel metal plate, integrating experimental data, Response Surface Methodology (RSM), and

an Artificial Neural Network (ANN) to develop predictive models. Experimental results revealed

The construction industry is under increasing pressure to reduce carbon emissions and explore

sustainable building materials. This study investigates wood ash as sustainable cementitious

material by partially replacing cement in concrete. Wood ash has the potential and pozzolanic

properties that possibly can enhance concrete strength and performance.. Concrete mix were

prepared with wood ash replacement of cement, 0%, 5%, 10%, 15% and 20% using a concrete mix

Access to clean and safe drinking water is essential for human health and well-being. This study

evaluates the water quality of well water in Obudu Local Government Area, Cross River State,

Nigeria, by correlating the Water Quality Index (WQI) with various physical, chemical, and

bacteriological parameters. 65 well water samples were analysed using the Oregon WQI model,

incorporating parameters such as temperature, electrical conductivity, pH, turbidity, total dissolved

An automated lawn mower is a machine designed to cut grass without requiring human guidance or

control. With the continuous advancements in technology, automation has become integral to

nearly every aspect of modern life. From household appliances to industrial machinery, automation

has transformed the way we interact with our environments, reducing manual labour and

improving overall efficiency. The emergence of automated lawn mowers follows this trend,

Efficient ventilation and air conditioning (VAC) systems are crucial for maintaining indoor air

quality and thermal comfort. This study evaluates the performance and optimization of the VAC

system at Crown Height Pavilion Event Center, Benin City. Key parameters such as airflow rate,

cooling load, temperature variation, humidity levels, power consumption, energy efficiency, and the

coefficient of performance (COP) were analyzed to determine system efficiency. Field

measurements revealed an airflow rate of 119.1 CMM, below the ASHRAE-recommended 127.35

Civil engineering projects involve multiple activities, spanning a large area of land, and entailing

the possibility of subterranean conditions making them extremely risky. Road construction involves

risk from the beginning to the ending and can significantly impact any one of the project's

components, such as cost, quality, timeliness, and scope. This study considered selected

construction companies within the South East geopolitical zone of Nigeria as a case study to

Traffic congestion in road transportation presents a significant issue for both developed and

developing nations. This research leverages artificial intelligence (AI) to assess, retime, and analyze

pre-timed traffic signals in the Oredo local government area of Edo State, where vehicle volume has

recently surged. Traffic data, including vehicle flow, composition, and movement, was manually

recorded at 15-minute intervals. Machine learning techniques, particularly an Artificial Neural