February 2024

Written by Chun Sing Lai, Mohamed Darwish, and Maysam Abbod

Electric vehicles (EVs) are key technologies in research and development to decarbonise road transportation. It is a general perception that vehicles are related to automotive technology and vehicular dynamics, which are still relevant today. However, EVs are greatly different as compared to an internal combustion engine vehicle. EVs use electrical motor for the propulsion and battery as an energy source.

Written by Soheil Mohseni and Alan C. Brent

In the face of an escalating climate crisis, renewable energy and storage technologies emerge as indispensable tools. However, their implementation introduces complexities, notably in mining, material extraction, and ongoing operational practices. This article conducts an in-depth exploration of these intricacies, shedding light on how the integration of blockchain technology not only mitigates risks but also establishes an epoch of transparency, traceability, and accountability throughout the entire lifecycle of renewable energy and storage systems [1]–[3].

Written by Sandeep Shekhawat

The ever-growing complexity of supply chains and the dynamic nature of modern business environments demand innovative solutions for efficient and cost-effective inventory management. This paper introduces a novel approach to address these challenges through the integration of Augmented Reality (AR) technology. Our proposed system leverages AR to enhance the accuracy, speed, and adaptability of inventory management processes while maintaining a focus on cost-effectiveness. By overlaying digital information onto the physical world, AR transforms the way inventory is monitored, tracked, and updated. The system utilizes wearable AR devices, such as smart glasses, to provide real-time insights into inventory levels, product locations, and order fulfillment status. This not only reduces manual errors but also significantly improves the overall efficiency of inventory-related tasks. To validate the effectiveness of our approach, we conducted a series of simulations and case studies across diverse industries. The results demonstrate notable improvements in inventory accuracy, order fulfillment speed, and overall operational efficiency. The proposed AR-based inventory management system emerges as a viable and cost-effective solution, poised to revolutionize traditional inventory management practices in the contemporary business landscape.