Category: Publication

News

ASSIST-IoT Mixed Reality (MR) enabler video

This video serves as an introduction to the Mixed Reality (MR) component within the ASSIST-IoT ecosystem. In this ecosystem, all the constituent elements are referred to as “enablers” and hence, this particular component is known as the “MR enabler”. Its primary function is to present information to the user by visualizing data obtained from other enablers. The data it presents can be either static information stored within other enablers or dynamically generated data from another enabler.

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ASSIST-IoT

‘Mixed reality applications for health and safety monitoring’ Paper…

Fotis Konstantinidis from ISenseGroup presented the ASSIST-IoT conference paper entitled ‘Mixed reality applications for health and safety monitoring’, at the IEEE IST- International Conference on Imaging Systems and Techniques (October 17-19, 2023) in the DTU – Technical University of Denmark.

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ASSIST-IoT

Frugal Heart Rate Correction Method for Scalable Health and…

Continuous, real-time monitoring of occupational health and safety in high-risk workplaces such as construction sites can substantially improve the safety of workers. However, introducing such systems in practice is associated with a number of challenges, such as scaling up the solution while keeping its cost low. In this context, this work investigates the use of an off-the-shelf, low-cost smartwatch to detect health issues based on heart rate monitoring in a privacy-preserving manner.

 

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AIOT

A fuzzy knowledge-based system for UV exposure management

ASSIST-IoT paper “A fuzzy knowledge-based system for UV exposure management” presentation at IEEE 8th World Forum
Georgios Stavropoulos (CERTH) presented the ASSIST-IoT paper “A fuzzy knowledge-based system for UV exposure management” at IEEE 8th World Forum on Internet of Things (WF-IoT), ASSIST-IoT Special Session: Future Platforms for Edge-Cloud Continuum–Theoretical Foundations and Practical Considerations, on Monday 31st October 2022, in Yokohama, Japan.

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ASSIST-IoT

AI Application in Next Generation Programmable Networks

Artificial intelligence (AI) algorithms can provide an effective solution for dynamic and automated network resource management in Software Defined Networking (SDN). In this contribution, we propose an auto-configuration enabler inside the next-generation Internet of Things (IoT) architecture proposed in the ASSIST-IoT project, for network resource allocation. The AI algorithm is responsible for controlling intent-based routing in an SDN network. This paper focuses on the problem of optimal intent switching between two designated paths using a Deep-Q-Learning approach based on an artificial neural network. Read more “AI Application in Next Generation Programmable Networks”

ASSIST-IoT

ASSIST-IoT Technical Report #10

ASSIST-IoT Technical Report #10, entitled “Implementation of UI methods and UX in VR in case of 3D printer tutorial”, by Andrzej PASZKIEWICZ, Mateusz SALACH, Maria GANZHA, Marcin PAPRZYCKI, Marek BOLANOWSKI, Grzegorz BUDZIK, Hubert WÓJCIK, Fotios KONSTANTINIDIS, and Carlos E. PALAU, accepted at SOMET 2022 conference, KitaKyushu, Japan (20-22 September 2022). Read more “ASSIST-IoT Technical Report #10”