Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Luca Trevisan"'
Publikováno v:
Sensors, Vol 24, Iss 18, p 6155 (2024)
Proper timing synchronization is important when data from sensors are acquired by different devices. This paper proposes a simple but effective solution for System on Chip (SoC) architectures that integrates a general-purpose Field Programmable Gate
Externí odkaz:
https://doaj.org/article/e869469eb940434689ffed2a9571755d
Publikováno v:
Sensors, Vol 24, Iss 5, p 1631 (2024)
Event-driven data acquisition is used to capture information from fast transient phenomena typically requiring a high sampling speed. This is an important requirement in the ITER Neutral Beam Test Facility for the development of one of the heating sy
Externí odkaz:
https://doaj.org/article/815cf62ef8134c23a3fd18715e6f41d8
Autor:
Tommaso Fedullo, Alberto Morato, Giovanni Peserico, Luca Trevisan, Federico Tramarin, Stefano Vitturi, Luigi Rovati
Publikováno v:
Sensors, Vol 22, Iss 15, p 5466 (2022)
The Industrial Internet of Things (IIoT) paradigm represents a significant leap forward for sensor networks, potentially enabling wide-area and innovative measurement systems. In this scenario, smart sensors might be equipped with novel low-power and
Externí odkaz:
https://doaj.org/article/bb10b6eb3c9e4ffc9e145c65c1312fd1
Autor:
Miguel LUNA, Joaquin SALAS, Jorge MOLINERO, Enric QUERALT, Marina RULL, Victoria COLOMER, Luca TREVISAN, Eduardo RUIZ, Jordi GUIMERÀ, Josep M NIÑEROLA
Publikováno v:
Revista Águas Subterrâneas, Vol 1, Iss 0 (2009)
En este trabajo se presentan los trabajos de caracterización y elaboración de modelos conceptuales y numéricos en relación a la construcción de las futuras balsas de recarga del acuífero del Llobregat (Barcelona, España). El déficit hídrico
Externí odkaz:
https://doaj.org/article/25a9ece6d46344ca85bf1a9897a0e94a
Autor:
Ana Gonzalez-Nicolas, Deborah Bilgic, Ilja Kröker, Assem Mayar, Luca Trevisan, Holger Steeb, Silke Wieprecht, Wolfgang Nowak
Publikováno v:
Transport in Porous Media. 143:463-496
Several environmental phenomena require monitoring time-dependent densities in porous media, e.g., clogging of river sediments, mineral dissolution/precipitation, or variably-saturated multiphase flow. Gamma-ray attenuation (GRA) can monitor time-dep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b21cd032e5b73d8c1bdb5ea95b76d35
https://doi.org/10.1007/s11242-022-01777-5
https://doi.org/10.1007/s11242-022-01777-5
Autor:
Gabriele Manduchi, Cesare Taliercio, Adriano Luchetta, Andrea Rigoni, Nuno Cruz, Giulio Martini, Luca Trevisan
Publikováno v:
Fusion Engineering and Design. 190:113497
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d9f53ba91f156451ab49efc29eb4b36
https://doi.org/10.1016/j.fusengdes.2023.113497
https://doi.org/10.1016/j.fusengdes.2023.113497
Autor:
Luca Trevisan, Laura Torrente
Publikováno v:
PROJECT MANAGER (IL). :28-33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d663d98fa42c7bab48dd200e14e3167
https://doi.org/10.3280/pm2020-042007
https://doi.org/10.3280/pm2020-042007
Autor:
Luca Becchetti, Andrea Clementi, Riccardo Denni, Francesco Pasquale, Luca Trevisan, Isabella Ziccardi
Publikováno v:
LATIN 2022: Theoretical Informatics ISBN: 9783031206238
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eed9138408beaa3cf478e2df529f5d84
https://hdl.handle.net/2108/315657
https://hdl.handle.net/2108/315657
Publikováno v:
Proceedings of the 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS 2021)
ICDCS
2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)
ICDCS
2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)
We study expansion and information diffusion properties of dynamic networks, i.e., networks whose topologies evolve over time as nodes enter or leave the system and edges are continuously created or destroyed. In this scenario, we investigate floodin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b02d3a17a3a669b6cef606d8613eb0e6
http://hdl.handle.net/2108/288715
http://hdl.handle.net/2108/288715
Publikováno v:
SIAM Journal on Discrete Mathematics, 35 (3)
For a graph $G$, let $f(G)$ denote the size of the maximum cut in $G$. The problem of estimating $f(G)$ as a function of the number of vertices and edges of $G$ has a long history and was extensively studied in the last fifty years. In this paper we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b88759d13a9bc51cfead1495d2f718b
https://hdl.handle.net/20.500.11850/509331
https://hdl.handle.net/20.500.11850/509331