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We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber–Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0 (I5.0) era goes a step beyond, aiming to build cross-border, sustainable, and circular value chains benefiting society as a whole. An enabler of this vision is the integration of data and AI in the industrial decision-making process, which does not exhibit yet a coordination between the Operation and Information Technology domains (OT/IT). This work proposes an architectural approach and an accompanying software prototype addressing the OT/IT convergence problem. The approach is based on a two-layered middleware solution, where each layer aims to better serve the specific differentiated requirements of the OT and IT layers. The proposal is validated in a real testbed, employing actual machine data, showing the capacity of the components to gracefully scale and serve increasing data volumes. [ABSTRACT FROM AUTHOR]

The first article, titled "Smart Campus: fostering the community awareness through an intelligent environment" presents a case study where IoT technologies have been used to design and develop a system able to bring benefit to communities of students, making them actively involved as central players of such an intelligent environment. The third article titled "A low-cost and low-power messaging system based on the LoRa wireless technology" described a low-cost and low-power consumption messaging system based on LoRa technology. The fourth article titled "An Online Education System to Produce and Distribute Video Lectures" focused on online learning and the authors shared their experience building ONELab, a system designed to capture, record, edit and stream video lectures. [Extracted from the article]