Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Fabrizio Giuliano"'
Publikováno v:
Sensors, Vol 24, Iss 13, p 4279 (2024)
By 2030, it is expected that a trillion things will be connected. In such a scenario, the power required for the trillion nodes would necessitate using trillions of batteries, resulting in maintenance challenges and significant management costs. The
Externí odkaz:
https://doaj.org/article/91094373dd38493785e7118fe06cfe71
Publikováno v:
Sensors, Vol 23, Iss 14, p 6568 (2023)
Ambient energy-powered sensors are becoming increasingly crucial for the sustainability of the Internet-of-Things (IoT). In particular, batteryless sensors are a cost-effective solution that require no battery maintenance, last longer and have greate
Externí odkaz:
https://doaj.org/article/b3ade3fdc5a44194adb53a1775e6a8c2
Autor:
Domenico Garlisi, Stefano Mangione, Fabrizio Giuliano, Daniele Croce, Giovanni Garbo, Ilenia Tinnirello
Publikováno v:
IEEE Access, Vol 9, Pp 128133-128146 (2021)
In this paper we propose LoRaSyNc (LoRa receiver with SyNchronization and Cancellation), a second generation LoRa receiver that implements Successive Interference Cancellation (SIC) and time synchronization to improve the performance of LoRa gateways
Externí odkaz:
https://doaj.org/article/b70f900a91da480cbf2de0639345b257
Autor:
Dario Sabella, Pablo Serrano, Giovanni Stea, Antonio Virdis, Ilenia Tinnirello, Fabrizio Giuliano, Domenico Garlisi, Panagiotis Vlacheas, Panagiotis Demestichas, Vasilis Foteinos, Nikolaos Bartzoudis, Miquel Payaró
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-16 (2018)
Abstract 5G networks will have to offer extremely high volumes of content, compared to those of today’s. Moreover, they will have to support heterogeneous traffics, including machine-to-machine, generated by a massive volume of Internet-of-Things d
Externí odkaz:
https://doaj.org/article/d38a9ee6c18d42c1b850da5665f665a9
Autor:
Alice Lo Valvo, Daniele Croce, Domenico Garlisi, Fabrizio Giuliano, Laura Giarré, Ilenia Tinnirello
Publikováno v:
Sensors, Vol 21, Iss 9, p 3061 (2021)
In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate
Externí odkaz:
https://doaj.org/article/3b27da698cd2402c9629724bcfb0a94c
Publikováno v:
Sensors, Vol 20, Iss 8, p 2249 (2020)
In this paper, we present a privacy-preserving scheme for Overgrid, a fully distributed peer-to-peer (P2P) architecture designed to automatically control and implement distributed Demand Response (DR) schemes in a community of smart buildings with en
Externí odkaz:
https://doaj.org/article/4a6dc5a1da2e4bc987c8825c9feecd18
Autor:
Ilenia Tinnirello, Fabrizio Giuliano, Alice Lo Valvo, Domenico Garlisi, Daniele Croce, Laura Giarre
Publikováno v:
Sensors
Volume 21
Issue 9
Sensors, Vol 21, Iss 3061, p 3061 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 9
Sensors, Vol 21, Iss 3061, p 3061 (2021)
Sensors (Basel, Switzerland)
In recent years, we have assisted with an impressive advance in augmented reality systems and computer vision algorithms, based on image processing and artificial intelligence. Thanks to these technologies, mainstream smartphones are able to estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64256816101c06687c76bd6fb1f2938e
Autor:
Ilenia Tinnirello, Fabrizio Giuliano, Alice Lo Valvo, Domenico Garlisi, Daniele Croce, Stefano Mangione
Publikováno v:
2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE).
Today bike sharing systems are becoming popular in many cities as short-distance transit vehicles. More than 18 million bicycles are available worldwide for public use and one of the main problems that afflicts such sharing systems is the loss of bik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7a062d325fcabf7a06efe767193d6de
https://doi.org/10.23919/eeta.2019.8804519
https://doi.org/10.23919/eeta.2019.8804519
Autor:
Ilenia Tinnirello, Fabrizio Giuliano, Domenico Garlisi, Daniele Croce, Alice Lo Valvo, Laura Giarr´e
In recent years, we have assisted to an impressive advance of computer vision algorithms, based on image processing and artificial intelligence. Among the many applications of computer vision, in this paper we investigate on the potential impact for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7af8b26b0fc3dbc1ab13916e8689854
http://hdl.handle.net/10447/481991
http://hdl.handle.net/10447/481991
Publikováno v:
IEEE Communications Magazine. 56:116-123
This work analyzes human behavior recognition approaches using WiFi channel state information from the perhaps less usual point of view of training and calibration needs. With the help of selected literature examples, as well as with more detailed ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6be5e22445026a118a9797a405eb346
https://doi.org/10.1109/mcom.2018.1700145
https://doi.org/10.1109/mcom.2018.1700145