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					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 paper “A fuzzy knowledge-based system for UV exposure management” presentation at IEEE 8th World Forum
ASSIST-IoT paper “A fuzzy knowledge-based system for UV exposure management” presentation at IEEE 8th World Forum 
			 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.
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.  
			 
			 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).
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).   
			 ASSIST-IoT partner Ioardanis Papoutsoglou (CERTH) will take part and present “DLT-enabled security for IoT infrastructures” in the NGIoT Training Workshop: Decentralizing IoT Intelligence using Distributed Ledger Technologies on February 7, 2022.
ASSIST-IoT partner Ioardanis Papoutsoglou (CERTH) will take part and present “DLT-enabled security for IoT infrastructures” in the NGIoT Training Workshop: Decentralizing IoT Intelligence using Distributed Ledger Technologies on February 7, 2022.  
			 A Vision on Smart, Decentralised Edge Computing Research Directions White paper. The EU-IoT White paper entitled “A Vision on Smart, Decentralised Edge Computing Research Directions” is now available! You may also find information about ASSIST-IoT project in page 15.
A Vision on Smart, Decentralised Edge Computing Research Directions White paper. The EU-IoT White paper entitled “A Vision on Smart, Decentralised Edge Computing Research Directions” is now available! You may also find information about ASSIST-IoT project in page 15.