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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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 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.
ASSIST-IoT Technical Report #6, entitled “From OBD to Connected Diagnostics: A Game Changer at Fleet, Vehicle and Component Level.”, by: ASIST-IoT partners C Guardiola, C Vigild, F de Smet and K Schusteritz has been published. Early on-board diagnostics (OBD) standards were enforced in 1988 and, by the beginning of the XXI century, all major automotive markets require some sort of OBD. Over the years, the diagnostics software layer has grown in complexity, yet robust fault detection remains a challenging task: insufficient memory and computation power, suboptimal calibration, and the lack of sufficient real-life operation data for model development are some of the limiting factors. 
ASSIST-IoT Technical reports #2, #3 are now available in NGIoT news section. You may access them and learn about Open Source Platform for Federated Learning and Tactile Internet. You may find them here: 
ASSIST-IoT partners, Patryk Zradziński, Jolanta Karpowicz, Krzysztof Gryz, Grzegorz Owczarek and Victoria Ramos have published a journal paper on MDPI Sensors entitled: “Modelling and Evaluation of the Absorption of the 866 MHz Electromagnetic Field in Humans Exposed near to Fixed I-RFID Readers Used in Medical RTLS or to Monitor PPE”. 
As special issue is organised by ASSIST-IoT project in MDPI Journal of Sensor and Actuator Networks (JSAN) entitled “Recent Advances and Tactile Internet of Things” (ISSN 2224-2708). Call for papers deadline: 28 February 2022. More info available at: