Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Daniele D. Caviglia"'
Publikováno v:
IEEE Access, Vol 12, Pp 132744-132753 (2024)
Monitoring rainfall is becoming increasingly important due to the impacts of climate change. In this context, opportunistic sensing based on satellite microwave links (SMLs) is gaining significant interest for its potential to provide real-time, low-
Externí odkaz:
https://doaj.org/article/e8b002eaaf994c28bdc96b5dd0799f20
Publikováno v:
Sensors, Vol 24, Iss 19, p 6161 (2024)
Neural recording systems play a crucial role in comprehending the intricacies of the brain and advancing treatments for neurological disorders. Within these systems, the analog-to-digital converter (ADC) serves as a fundamental component, converting
Externí odkaz:
https://doaj.org/article/ac168c7d7b204a0f99372c0f8eafc43c
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 14, Iss 3, p 40 (2024)
A low-power, low-voltage universal multi-mode Gm-C filter using a 180 nm TSMC technology node is presented in this paper. The proposed filter employs only three transconductance operational amplifiers (OTAs) operating in the sub-threshold region with
Externí odkaz:
https://doaj.org/article/9a74eff82ff6452bac6d30b148bd9565
Publikováno v:
IEEE Access, Vol 11, Pp 68301-68315 (2023)
Owing to the geographically scattered end devices (EDs) in long-range wide area networks (LoRaWAN), devices that combat challenging cyber threats and attacks are of critical significance. In this perspective, LoRa Alliance® is continuously evolving
Externí odkaz:
https://doaj.org/article/59dddaaad9bb427e8d2ef97d68311bb1
Publikováno v:
Sensors, Vol 23, Iss 14, p 6381 (2023)
The energy consumption of a heating, ventilation, and air conditioning (HVAC) system represents a large amount of the total for a commercial or civic building. In order to optimize the system performance and to increase the comfort of people living o
Externí odkaz:
https://doaj.org/article/f50d8aa50b6541df9fefe46fb55390d3
Publikováno v:
Sensors, Vol 23, Iss 3, p 1202 (2023)
In the climate change scenario the world is facing, extreme weather events can lead to increasingly serious disasters. To improve managing the consequent risks, there is a pressing need to have real-time systems that provide accurate monitoring and p
Externí odkaz:
https://doaj.org/article/a40b749bc40e41259f9e3061fca90712
Autor:
Ali Mohamed, Franz Wang, Ismail Butun, Junaid Qadir, Robert Lagerström, Paolo Gastaldo, Daniele D. Caviglia
Publikováno v:
Sensors, Vol 22, Iss 9, p 3498 (2022)
The Internet of Things (IoT) has disrupted the IT landscape drastically, and Long Range Wide Area Network (LoRaWAN) is one specification that enables these IoT devices to have access to the Internet. Former security analyses have suggested that the g
Externí odkaz:
https://doaj.org/article/b849f91cd80b4e6f9e10d0a83b176e44
Publikováno v:
Sensors, Vol 21, Iss 19, p 6526 (2021)
Edge Computing enables to perform measurement and cognitive decisions outside a central server by performing data storage, manipulation, and processing on the Internet of Things (IoT) node. Also, Artificial Intelligence (AI) and Machine Learning appl
Externí odkaz:
https://doaj.org/article/1432fa136da74869a3eae7e4ec7a0a17
Publikováno v:
Computing. 104:2453-2487
Machine learning techniques aim to mimic the human ability to automatically learn how to perform tasks through training examples. They have proven capable of tasks such as prediction, learning and adaptation based on experience and can be used in vir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ce1956427a78eca51cefbc6691d4be1
https://doi.org/10.1007/s00607-022-01096-z
https://doi.org/10.1007/s00607-022-01096-z
Publikováno v:
Energies, Vol 14, Iss 7, p 1823 (2021)
Sensor nodes have been assigned a lot of tasks in a connected environment that is growing rapidly. The power supply remains a challenge that is not answered convincingly. Energy harvesting is an emerging solution that is being studied to integrate in
Externí odkaz:
https://doaj.org/article/6136d510507343aaacbf4dc44eb3b13e