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Cyber-Physical System Design for Smart Water Distribution Networks
The design and implementation of Cyber-Physical Systems (CPS) have become critical for enhancing the efficiency, reliability, and sustainability of smart water distribution networks. With the integration of information and communication technologies (ICT) into water distribution infrastructure,…
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AI-Based Detection of Micro-Cracks in Concrete Using Drone Imagery
The integrity of concrete infrastructure is critical to public safety and long‑term asset management. Micro‑cracks, often invisible to the naked eye, can propagate under cyclic loading and environmental exposure, leading to significant structural deterioration. Recent advances…
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Vol. 10, Issue 11, November 2022
PUBLISHED: 2022-10-31 Original Research Article AI-Based Detection of Micro-Cracks in Concrete Using Drone Imagery DOI: https://doi.org/10.63345/ijrmeet.org.v10.i11.1 Lucky Jha 1-9 Cyber-Physical System Design for Smart Water Distribution Networks DOI: https://doi.org/10.63345/ijrmeet.org.v10.i11.2 Priyanshi 10-16 Integration of Blockchain Technology…
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Role of Hybrid Systems in Reducing Methane and CO₂ Emissions in Energy-Intensive Sectors
Energy-intensive sectors such as power generation, heavy industries, oil and gas extraction, and transportation remain major contributors to global greenhouse gas (GHG) emissions, primarily methane (CH₄) and carbon dioxide (CO₂). Hybrid systems—combinations of renewable technologies, energy…
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Application of Machine Learning for Predictive Maintenance in Industrial Systems
Predictive maintenance (PdM) in industrial systems seeks to forecast equipment failures before they occur, thereby reducing unplanned downtime, maintenance costs, and safety risks. Leveraging machine learning (ML) techniques—such as decision trees, support vector machines (SVMs), random…
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AI-Powered Traffic Management Systems: Enhancing Efficiency and Reducing Congestion
The accelerating pace of urbanization has intensified traffic congestion across metropolitan areas, leading to elevated greenhouse gas emissions, increased fuel consumption, and diminished quality of life for commuters. Artificial intelligence–powered Traffic Management Systems (AITMS) harness advances…
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Application of Deep Learning in Defect Detection During Metal Casting Processes
Metal casting is a widely utilized process in manufacturing, where defects such as cracks, voids, and porosity can significantly impact the quality and reliability of the final product. Traditional defect detection methods often rely on manual…
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Integration of Digital Twin Technology in Aerospace Engineering
The integration of Digital Twin (DT) technology into aerospace engineering has emerged as a transformative approach for enhancing design accuracy, operational efficiency, and maintenance predictability. This study investigates the deployment of DTs—high-fidelity virtual replicas of physical…
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Vol. 10, Issue 10, October 2022
PUBLISHED: 2022-09-30 Original Research Article Integration of Digital Twin Technology in Aerospace Engineering DOI: https://doi.org/10.63345/ijrmeet.org.v10.i10.1 Dr Amit Kumar Jain 1-8 Application of Deep Learning in Defect Detection During Metal Casting Processes DOI: https://doi.org/10.63345/ijrmeet.org.v10.i10.2 Prof. Dr.…
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Design Optimization of Autonomous Vehicles: Safety, Efficiency, and User Experience
Design optimization of autonomous vehicles (AVs) is critical to achieving high standards of safety, operational efficiency, and user satisfaction. This manuscript presents a multi‐objective optimization framework tailored for AV design, integrating safety metrics—such as collision avoidance…