Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Roberto Setola"'
Publikováno v:
IEEE Access, Vol 12, Pp 18724-18738 (2024)
Smart grid technology drives economic and social development but raises vulnerability to cyber threats due to digital substations’ growing reliance. To counter these risks, recent updates to communication standards, including encryption and authent
Externí odkaz:
https://doaj.org/article/fbe99b091e2246b59aac6111d25404f0
Autor:
Mariangela Pinnelli, Daniela Lo Presti, Sergio Silvestri, Roberto Setola, Emiliano Schena, Carlo Massaroni
Publikováno v:
Sensors, Vol 24, Iss 17, p 5815 (2024)
This study focuses on the integration and validation of a filtering face piece 3 (FFP3) facemask module for monitoring breathing activity in industrial environments. The key objective is to ensure accurate, real-time respiratory rate (RR) monitoring
Externí odkaz:
https://doaj.org/article/7c6f0b00875e411085c0bcbdc3701da8
Autor:
Francesca Santucci, Martina Nobili, Luca Faramondi, Gabriele Oliva, Bianca Mazzà, Antonio Scala, Massimo Ciccozzi, Roberto Setola
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285452 (2023)
Italy was the first European country to be significantly impacted by the COVID-19 pandemic. The lack of similar previous experiences and the initial uncertainty regarding the new virus resulted in an unpredictable health crisis with 243,506 total con
Externí odkaz:
https://doaj.org/article/1f13c663a9d144488d636dca7d23c43d
Autor:
Daniela Lo Presti, Francesca Santucci, Carlo Massaroni, Domenico Formica, Roberto Setola, Emiliano Schena
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Early diagnosis can be crucial to limit both the mortality and economic burden of cardiovascular diseases. Recent developments have focused on the continuous monitoring of cardiac activity for a prompt diagnosis. Nowadays, wearable devices a
Externí odkaz:
https://doaj.org/article/4e7feb370f2b4bedbba2188927ee97cb
Publikováno v:
Sensors, Vol 22, Iss 15, p 5805 (2022)
Recently, the ever-growing interest in the continuous monitoring of heart function in out-of-laboratory settings for an early diagnosis of cardiovascular diseases has led to the investigation of innovative methods for cardiac monitoring. Among others
Externí odkaz:
https://doaj.org/article/1502b0d049fd47be9f12945c70d7de38
Publikováno v:
Sensors, Vol 21, Iss 21, p 7211 (2021)
This paper develops a framework to track the trajectory of a target in 2D by considering a moving ownship able to measure bearing measurements. Notably, the framework allows one to incorporate additional information (e.g., obtained via intelligence)
Externí odkaz:
https://doaj.org/article/a5b35d83d5a84c318ff05910fcebedb3
Publikováno v:
Chemical Engineering Transactions, Vol 77 (2019)
The relevance of OT (Operational Technology) in Seveso plats has largely increased in recent years thanks to several benefits related to the improvement of efficiency, quality of the production, and cost reduction. Unfortunately, the use of these tec
Externí odkaz:
https://doaj.org/article/b3d299e4fe324ec387b9c9ce533e069c
Autor:
Alessandro Tugnoli, Matteo Iaiani, Gabriele Oliva, Ernesto Salzano, Roberto Setola, Valerio Cozzani
Publikováno v:
Chemical Engineering Transactions, Vol 77 (2019)
Seveso III Directive (2012/18/EU) requires operators to demonstrate that they have identified major accident hazards and scenarios, and that they have implemented adequate actions to prevent such accidents. Safety reports issued under the Seveso Dire
Externí odkaz:
https://doaj.org/article/a73b9efa982c4e3580b625dfa839ec69
Publikováno v:
ICT Express, Vol 2, Iss 1, Pp 19-22 (2016)
In this paper we consider the localization of a sensor network where the nodes are heterogeneous, in that some of them are able to measure the distance from their neighbors, while some others are just able to detect their presence, and we provide a p
Externí odkaz:
https://doaj.org/article/d6bc56198b854499827fb7aca3b197c6
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
We provide a distributed method to partition a large set of data in clusters, characterized by small in-group and large out-group distances. We assume a wireless sensors network in which each sensor is given a large set of data and the objective is t
Externí odkaz:
https://doaj.org/article/a91cbd57ca50430280198ed1d4f33724