2 research outputs found
Flexural Strengthening Using Carbon Fibre Reinforced Polymer (CFRP) Strip on Reinforced Concrete (RC) Skew Beam
No full textThis report is experimentally conducted to determine the flexural effect of skew beams if
CFRP is applied in the bottom middle of the beam. In the experiment, the author will test two
types of skew tramms which have an angle of 15" and 20°euch. In both type of skew, the author
will also text with different arrangements of CFRP application on the skew beam. the method
used to text the beams in this experiment will he the double point loads test perfumed in 1 /3 and
full span length CFRP applied on the skew beams. Thc arrangement of the links will be 100mm
from centre to centre and I" for the four bars of rcinCorcement. The size of the beam used will be
230mm x 159mm x 2000mm. The investigation found out that full application of CFRP on the
bottom of the hewn will give highest elasticity among other two beams (control beams and 1/3
CFRP beam) but lower the ductility while 1/3 of the full length of the beams will give higher
elasticity compare to control beam and retain some of ductility to the beam
Intelligent Prediction and Continuous Monitoring of Water Quality in Aquaculture: Integration of Machine Learning and Internet of Things for Sustainable Management
No full textAquaculture is a vital contributor to global food security, yet maintaining optimal water quality remains a persistent challenge, particularly in resource-limited rural settings. This study integrates Internet of Things (IoT) technology, Machine Learning (ML) models, and the Quantum Approximate Optimization Algorithm (QAOA) to enhance water quality monitoring and prediction in aquaculture. IoT sensors continuously measured parameters such as temperature, dissolved oxygen (DO), pH, and turbidity, while ML models—including Random Forest—provided high accuracy predictions (R2 = 0.999, RMSE = 0.0998 mg/L). The integration of the QAOA reduced model training time by 50%, enabling rapid, real-time responses to changing water conditions. Over 6000 corrective interventions were conducted during the study, maintaining fish survival rates above 90% in tropical aquaculture environments. This adaptable system is designed for both urban and rural settings, using low-cost sensors and local data processing for constrained environments or cloud-based systems for real-time analysis. The results demonstrate the potential of IoT–ML–QAOA integration to mitigate environmental risks, optimize fish health, and support sustainable aquaculture practices. By addressing technological and infrastructural constraints, this study advances aquaculture management and contributes to global food security
