Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Filippo Giannett"'
Publikováno v:
IEEE Access, Vol 12, Pp 878-922 (2024)
Sand and dust storms (SDS) are significant atmospheric phenomena that have a negative impact on wireless links operating at various frequencies. Specifically, sand and dust (SD) particles produce attenuation in propagating electromagnetic (EM) waves
Externí odkaz:
https://doaj.org/article/8f18e880508b4befa83c211f3a8972bc
Autor:
Giovanni Scognamiglio, Andrea Rucci, Attilio Vaccaro, Elisa Adirosi, Fabiola Sapienza, Filippo Giannetti, Giacomo Bacci, Sabina Angeloni, Luca Baldini, Giacomo Roversi, Alberto Ortolani, Andrea Antonini, Samantha Melani
Publikováno v:
Sensors, Vol 24, Iss 21, p 6944 (2024)
Accurate precipitation measurement is critical for managing flood and drought risks. Traditional meteorological tools, such as rain gauges and remote sensors, have limitations in resolution, coverage, and cost-effectiveness. Recently, the opportunist
Externí odkaz:
https://doaj.org/article/84681935602e48ea882b3bd40fc86293
Autor:
Martin Fencl, Jafet C. M. Andersson, Roberto Nebuloni, Nico Blettner, Vojtech Bares, Christian Chwala, Greta Cazzaniga, Lotte de Vos, Matteo Colli, Charles Galdies, Abbas El Hachem, Maximilian Graf, Filippo Giannetti, Hai Victor Habi, Dror Jacoby, Jonatan Ostrometzky, Petr Musil, Fabiola Sapienza, Giacomo Roversi, Anna Spackova, Jochen Seidel, Bas Walraven, Remco van de Beek, Xin Zheng, Karina Wilgan
Publikováno v:
Open Research Europe, Vol 3 (2024)
Opportunistic sensors are increasingly used for rainfall measurement. However, their raw data are collected by a variety of systems that are often not primarily intended for rainfall monitoring, resulting in a plethora of different data formats and a
Externí odkaz:
https://doaj.org/article/38d36417772e445192789c99fbd45d73
Publikováno v:
IEEE Access, Vol 11, Pp 115348-115366 (2023)
Fog computing allows for energy-efficient and low-latency offloading of computationally intensive tasks from wireless devices to nearby servers. The integration of this technology in drone communications enables the managing of challenging tasks such
Externí odkaz:
https://doaj.org/article/7a8cb13300e74f9590a5bb7f6d9bfd66
Autor:
Filippo Giannetti, Luca Giovanni Lanza
Publikováno v:
Sensors, Vol 23, Iss 15, p 6934 (2023)
In situ weather sensors aiming at the measurement of liquid atmospheric precipitation (rainfall) experienced limited conceptual innovation in recent decades, except for the data recording and transmission components [...]
Externí odkaz:
https://doaj.org/article/24bbf780d6d542d191c2d281dac6217d
Publikováno v:
Sensors, Vol 22, Iss 18, p 7019 (2022)
The demand for accurate rainfall rate maps is growing ever more. This paper proposes a novel algorithm to estimate the rainfall rate map from the attenuation measurements coming from both broadcast satellite links (BSLs) and commercial microwave link
Externí odkaz:
https://doaj.org/article/05f2019b79164406a37392385b66442b
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-17 (2018)
Abstract This work proposes a novel cross-layer link performance prediction (LPP) model and link adaptation (LA) strategy for soft-decoded multiple-input multiple-output (MIMO) bit-interleaved coded orthogonal frequency division multiplexing (BIC-OFD
Externí odkaz:
https://doaj.org/article/8dae8c39c9c8497a9b4f35535e3da8d8
Autor:
Filippo Giannetti, Ruggero Reggiannini
Publikováno v:
Sensors, Vol 21, Iss 17, p 5872 (2021)
Recent years have witnessed a growing interest in techniques and systems for rainfall surveillance on regional scale, with increasingly stringent requirements in terms of the following: (i) accuracy of rainfall rate measurements, (ii) adequate densit
Externí odkaz:
https://doaj.org/article/79f5bd9b99f440b28390fd51ceaf915c
Autor:
Filippo Giannetti, Ruggero Reggiannini, Marco Moretti, Elisa Adirosi, Luca Baldini, Luca Facheris, Andrea Antonini, Samantha Melani, Giacomo Bacci, Antonio Petrolino, Attilio Vaccaro
Publikováno v:
Sensors, Vol 17, Iss 8, p 1864 (2017)
We present the NEFOCAST project (named by the contraction of “Nefele”, which is the Italian spelling for the mythological cloud nymph Nephele, and “forecast”), funded by the Tuscany Region, about the feasibility of a system for the detection
Externí odkaz:
https://doaj.org/article/18401109aad84457830237b8caaaebf2
Autor:
Antonio Colicelli, Elisa Adirosi, Luca Facheris, Marco Moretti, Filippo Giannett, Antonio Petrolino, Ruggero Reggiannini, Francesca Caparrini, Giacomo Bacci, Simone Scarfone, Alessandro Mazza, Attilio Vaccaro
Publikováno v:
ISWCS
Ahstract- In the NEFOCAST project we aim at estimating rainfall by the opportunistic use of the signal attenuation due to the propagation channel in satellite communications. The estimation is performed by reverse engineering the effects of the vario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a28c078c71b868775f9188f9fb42e522
https://doi.org/10.1109/iswcs.2018.8491192
https://doi.org/10.1109/iswcs.2018.8491192