Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Keoma Brun-Laguna"'
Autor:
Thomas Watteyne, Ana Laura Diedrichs, Keoma Brun-Laguna, Javier Emilio Chaar, Diego Dujovne, Juan Carlos Taffernaberry, Gustavo Mercado
Publikováno v:
EAI Endorsed Transactions on Internet of Things, Vol 2, Iss 5 (2016)
In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it is going to happen. The goal of
Externí odkaz:
https://doaj.org/article/fa3a12941caf43e7a0a9f2dd5f7e5862
Autor:
Sami A. Malek, Francesco Avanzi, Keoma Brun-Laguna, Tessa Maurer, Carlos A. Oroza, Peter C. Hartsough, Thomas Watteyne, Steven D. Glaser
Publikováno v:
Sensors, Vol 17, Iss 11, p 2583 (2017)
Monitoring the snow pack is crucial for many stakeholders, whether for hydro-power optimization, water management or flood control. Traditional forecasting relies on regression methods, which often results in snow melt runoff predictions of low accur
Externí odkaz:
https://doaj.org/article/42a7e3c2dc6348f9927bf6bad261e804
Publikováno v:
IEEE Internet of Things Journal. 5:4589-4597
Internet of Things (IoT) in agriculture applications have evolved to solve several relevant problems from producers. Here, we describe a component of an IoT-enabled frost prediction system. We follow current approaches for prediction that use machine
Publikováno v:
Internet Technology Letters
Internet Technology Letters, Wiley, In press, ⟨10.1002/itl2.162⟩
Internet Technology Letters, In press, ⟨10.1002/itl2.162⟩
Internet Technology Letters, Wiley, In press, ⟨10.1002/itl2.162⟩
Internet Technology Letters, In press, ⟨10.1002/itl2.162⟩
International audience; Simulation is a powerful tool for development of wireless networks. One key drawback of simulation-based studies for wireless networking is the need to use a radio propagation model. In this paper, we propose trace-based simul
Publikováno v:
IEEE Pervasive Computing
IEEE Pervasive Computing, 2018
IEEE Pervasive Computing, Institute of Electrical and Electronics Engineers, 2018
IEEE Pervasive Computing, 2018
IEEE Pervasive Computing, Institute of Electrical and Electronics Engineers, 2018
International audience; How realistic is the connectivity in a testbed? The question determines whether a protocol that performs well in a testbed also works in a real-world environment. We answer this question by gathering 11 datasets, a total of 2,
Publikováno v:
GLOBECOM 2019-2019 IEEE Global Communications Conference
GLOBECOM 2019-2019 IEEE Global Communications Conference, Dec 2019, Waikoka, Hawai, United States
GLOBECOM
GLOBECOM 2019-2019 IEEE Global Communications Conference, Dec 2019, Waikoka, Hawai, United States
GLOBECOM
International audience; The main requirement of Industrial Internet of Things (IIoT) is reliability with a targeted reliability of above 99.999%. Then come latency and energy-efficiency requirements. The next step for the IIoT is to target time-criti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::943f90724821ed98fb5c673bf677f338
https://hal.science/hal-02432579/document
https://hal.science/hal-02432579/document
Publikováno v:
CNERT-IEEE INFOCOM Workshop on Computer and Networking Experimental Research using Testbeds
CNERT-IEEE INFOCOM Workshop on Computer and Networking Experimental Research using Testbeds, Apr 2019, Paris, France
INFOCOM Workshops
CNERT-IEEE INFOCOM Workshop on Computer and Networking Experimental Research using Testbeds, Apr 2019, Paris, France
INFOCOM Workshops
International audience; The 6TiSCH simulator is an existing Python-based simulation tool that captures the full behavior of 6TiSCH, the Industrial IoT protocol stack standardized by the IETF. The existing 6TiSCH simulator uses a radio propagation mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be7df6bef00751401ee2d94ec797f439
https://inria.hal.science/hal-02266552
https://inria.hal.science/hal-02266552
Autor:
Diego Dujovne, Xavier Vilajosana, Thomas Watteyne, Ana Diedrichs, Keoma Brun-Laguna, Carlos Taffernaberry, Rémy Léone
Publikováno v:
Computer Communications
Computer Communications, Elsevier, 2018, 121, pp.83-90. ⟨10.1016/j.comcom.2018.03.010⟩
Computer Communications, 2018, 121, pp.83-90. ⟨10.1016/j.comcom.2018.03.010⟩
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Computer Communications, Elsevier, 2018, 121, pp.83-90. ⟨10.1016/j.comcom.2018.03.010⟩
Computer Communications, 2018, 121, pp.83-90. ⟨10.1016/j.comcom.2018.03.010⟩
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
We deploy two low-power wireless networks, one in a Smart Agriculture setting (a peach orchard), one in a Smart Building. Both networks use out-of-the-box SmartMesh IP technology to gather sensor values, as well as extensive network statistics. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e37eca3cf03daaf78db97123c1477f6
https://hal.inria.fr/hal-01737060
https://hal.inria.fr/hal-01737060
Autor:
Keoma Brun-Laguna, P. C. Hartsough, Carlos A. Oroza, Francesco Avanzi, Sami Malek, Steven D. Glaser, Thomas Watteyne, Tessa Maurer
Publikováno v:
Sensors
Malek, SA; Avanzi, F; Brun-Laguna, K; Maurer, T; Oroza, CA; Hartsough, PC; et al.(2017). Real-Time alpine measurement system using wireless sensor networks. Sensors (Switzerland), 17(11). doi: 10.3390/s17112583. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/859504mg
Sensors (Basel, Switzerland)
Sensors, MDPI, 2017, 17 (11), pp.1-30. ⟨10.3390/s17112583⟩
Sensors (Basel, Switzerland), vol 17, iss 11
Sensors, 2017, 17 (11), pp.1-30. ⟨10.3390/s17112583⟩
Sensors, Vol 17, Iss 11, p 2583 (2017)
Sensors; Volume 17; Issue 11; Pages: 2583
Malek, SA; Avanzi, F; Brun-Laguna, K; Maurer, T; Oroza, CA; Hartsough, PC; et al.(2017). Real-Time alpine measurement system using wireless sensor networks. Sensors (Switzerland), 17(11). doi: 10.3390/s17112583. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/859504mg
Sensors (Basel, Switzerland)
Sensors, MDPI, 2017, 17 (11), pp.1-30. ⟨10.3390/s17112583⟩
Sensors (Basel, Switzerland), vol 17, iss 11
Sensors, 2017, 17 (11), pp.1-30. ⟨10.3390/s17112583⟩
Sensors, Vol 17, Iss 11, p 2583 (2017)
Sensors; Volume 17; Issue 11; Pages: 2583
© 2017 by the authors. Monitoring the snow pack is crucial for many stakeholders, whether for hydro-power optimization, water management or flood control. Traditional forecasting relies on regression methods, which often results in snow melt runoff
Autor:
Diego Dujovne, Gustavo Mercado, Keoma Brun-Laguna, Thomas Watteyne, Ana Diedrichs, Javier Emilio Chaar, Juan Carlos Taffernaberry
Publikováno v:
EAI Endorsed Transactions on Internet of Things, Vol 2, Iss 5 (2016)
EAI endorsed transactions on Internet of Things
EAI endorsed transactions on Internet of Things, European Alliance for Innovation, 2016, ⟨10.4108/eai.1-12-2016.151711⟩
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
EAI endorsed transactions on Internet of Things, 2016, ⟨10.4108/eai.1-12-2016.151711⟩
EAI endorsed transactions on Internet of things 2 (5) : e2 (2016)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
EAI endorsed transactions on Internet of Things
EAI endorsed transactions on Internet of Things, European Alliance for Innovation, 2016, ⟨10.4108/eai.1-12-2016.151711⟩
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
EAI endorsed transactions on Internet of Things, 2016, ⟨10.4108/eai.1-12-2016.151711⟩
EAI endorsed transactions on Internet of things 2 (5) : e2 (2016)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it is going to happen. The goal of