Dimitrios Georgakopoulos

TL;DR: IoT-based contextualisation techniques that effectively consider the entire range of data that is being collected in smart cities and use such data to provide hyper-personalised information to each user, i.e., information that best suits the context of each user in the Smart City are proposed.

TL;DR: A multidatabase recoverability condition is introduced as the minimal requirement that can assure that multid atabase recovery preserves the consistency of a multidAtabase system.

TL;DR: An Awareness Model (AM) is introduced for creating awareness specifications and defining related execution semantics that define patterns of process-related events and external events, as well as how information should be digested from them.

TL;DR: In this paper, an innovative hierarchical data-processing architecture that utilises semantics at all the levels of the IoT stack in multi-cloud environments is presented, and the authors demonstrate the feasibility of such architecture by building a system based on this architecture using OpenIoT as a middleware, and Google Cloud and Microsoft Azure as cloud environments.

TL;DR: This paper introduces a novel industrial IoT solution for monitoring, evaluating, and improving worker and related plant productivity based on workers activity recognition using a distributed platform and wearable sensors.