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Paper Type: Extended Abstract Paper

Automated Leak Detection in Drip Irrigation Systems using RGB and Thermal Sensor Fusion

Water leaks are a common issue in surface drip irrigation systems. Visual inspection of irrigation pipelines by humans is the most prevalent method for leak detection. However, this approach is costly and labour-intensive due to the need for frequent on-site visits. This paper describes an AI based sensor fusion algorithm to automatically detect leaks along the drip lines using RGB and thermal images collected from a low-cost ground vision system. The proposed algorithm was tested using images collected from vineyard under various light conditions. Results indicated that proposed sensor fusion detection algorithm is accurate and efficient.

Fly Ash as Sustainable Modifier, Using RSM as Modelling and Optimization Tool

This study uses Response Surface Methodology (RSM) to investigate the effect of using fly Ash type F as partial cement replacement on the compressive strength in concrete pavement. The response surface Methodology (RSM) is increasingly utilized in concrete mix design, as it offers a more effective approach to analyzing and optimizing experimental responses. RSM outperforms traditional experimental design methods in various ways, such as reducing the number of required tests, thus lowering test costs, and identifying optimal input variables based on test results. It can construct a scientific mathematical model and offer insights into the impact of individual factors and factor interactions on test results within the specified numerical boundary.
Additionally, a three-dimensional response surface is created to illustrate the connection between preparation parameters and the response index, allowing for a clearer understanding of the relationship between each factor and the response value. Accordingly, The researcher has utilized the RSM method to assess the influence of various factors on concrete performance
The study also aims to optimize the fly ash percentage in the concrete mix design. To evaluate the impact, the research methodology utilized mathematical modeling and methodical experimentation. The experiment considered various variables, including the amount of fly ash and the length of the curing process. The experiment concluded that the ideal fly ash concrete included a fly ash concentration of 15% and a requirement for an 90 day curing duration to produce a peak compressive strength of 52 MPa, and according to the RSM optimization the fly ash concentration is 14.28% , considering 90 day curing duration achive a peak compressive strength of 51.28 MPa. These results highlight fly ash’s ability to improve concrete performance. These kinds of developments are essential for infrastructure projects such as airports, roads, and infrastructure, where long-term viability and environmental effects are major priorities, It also advances environmentally friendly construction methods by optimizing fly ash concrete mixtures using RSM modelling tool. It offers insightful information on how to maximize concrete strength while reducing environmental impact and points the way for the next improvements in concrete pavement engineering.
Keywords—Optimization, Response Surface Methodology, Concrete pavement, Compressive strength, Airport, Curing time.

Enhancing Lifecycle Sustainability through Optimized Supplier Quality Management in Heating Manufacturing

This research shows that improving supplier quality management for Company A’s wall-hung boilers leads to notable sustainability gains, including a 20% reduction in material defects, a 25% decrease in carbon emissions, and a 30% increase in product durability. These findings highlight the critical role of supplier quality in enhancing product lifecycle sustainability.

Design and Implementation of a High Performance Network Function Virtualization Platform

This study applied parallel processing of incoming packets to reduce processing time. Experimental results show that proposed mechanisms enhanced network performance, allowing efficient resource use, reducing network latency, and ensuring stable packet transmission to fit service requirements.