Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Guillermo Barrenetxea"'
Publikováno v:
Proceedings of the 2016 Applied Networking Research Workshop (ANRW '16)
Proceedings of the 2016 workshop on Applied Networking Research Workshop-ANRW 16
ANRW
Proceedings of the 2016 workshop on Applied Networking Research Workshop-ANRW 16
ANRW
Proceedings of the 2016 Applied Networking Research Workshop (ANRW '16)
ISBN:978-1-4503-4443-2
ISBN:978-1-4503-4443-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07abace4164ba0c2ff79828e6ada50b1
https://hdl.handle.net/20.500.11850/119911
https://hdl.handle.net/20.500.11850/119911
Publikováno v:
IEEE Transactions on Image Processing. 21:4581-4592
In environmental monitoring applications, having multiple cameras focus on common scenery increases robustness of the system. To save energy based on user demand, successive refinement image coding is important, as it allows us to progressively reque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1687cf154f75ff5cd47726d542f024a
https://doi.org/10.1109/tip.2012.2205008
https://doi.org/10.1109/tip.2012.2205008
Autor:
Jean-François Rubin, Martin Vetterli, Guillermo Barrenetxea, Hendrik Huwald, John S. Selker, Julie A. Huff, Martijn Westhoff, Travis R. Roth, Marc B. Parlange, Aurèle Parriaux
Publikováno v:
Environmental Science and Technology, 44(6), 2072-2078. American Chemical Society
Roth, T R, Westhoff, M C, Huwald, H, Huff, J A, Rubin, J F, Barrenetxea, G, Vetterli, M, Parriaux, A, Selker, J S & Parlange, M B 2010, ' Stream Temperature Response to Three Riparian Vegetation Scenarios by Use of a Distributed Temperature Validated Model ', Environmental Science and Technology, vol. 44, no. 6, pp. 2072-2078 . https://doi.org/10.1021/es902654f
Roth, T R, Westhoff, M C, Huwald, H, Huff, J A, Rubin, J F, Barrenetxea, G, Vetterli, M, Parriaux, A, Selker, J S & Parlange, M B 2010, ' Stream Temperature Response to Three Riparian Vegetation Scenarios by Use of a Distributed Temperature Validated Model ', Environmental Science and Technology, vol. 44, no. 6, pp. 2072-2078 . https://doi.org/10.1021/es902654f
Elevated in-stream temperature has led to a surge in theoccurrence of parasitic intrusion proliferative kidney diseaseand has resulted in fish kills throughout Switzerland’s waterways.Data from distributed temperature sensing (DTS) in-streammeasure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::125de26a025000c5e6cc554a25471e09
https://doi.org/10.1021/es902654f
https://doi.org/10.1021/es902654f
Autor:
Marc B. Parlange, Martin Vetterli, Guillermo Barrenetxea, O. Couach, Daniel F. Nadeau, Wilfried Brutsaert, John S. Selker, Elie Bou-Zeid, Marc-Olivier Boldi
Publikováno v:
Environmental Fluid Mechanics. 9:635-653
The determination of the sensible heat flux over urban terrain is challenging due to irregular surface geometry and surface types. To address this, in 2006–07, a major field campaign (LUCE) took place at the École Polytechnique Fédérale de Lausa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d17596005681fbfbe492c2b6c41cc0a9
https://doi.org/10.1007/s10652-009-9150-7
https://doi.org/10.1007/s10652-009-9150-7
Autor:
Karl Aberer, Jacques Bovay, Martin Vetterli, Guillermo Barrenetxea, Gustavo Alonso, Marc B. Parlange, Jan Beutel, Lothar Thiele, Henri Dubois-Ferriere, Donald Kossmann
Publikováno v:
PIK - Praxis der Informationsverarbeitung und Kommunikation. 30:20-25
Keywords: NCCR-MICS/CL4 ; NCCR-MICS Reference LSIR-ARTICLE-2007-006 Record created on 2007-01-27, modified on 2017-05-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75299511db97d43c634531eaf0bd3182
https://doi.org/10.1515/piko.2007.20
https://doi.org/10.1515/piko.2007.20
Autor:
Clémence Ranquet Bouleau, Guillermo Barrenetxea, Theo Baracchini, Alexandre Repetti, Jean-Claude Bolay
Publikováno v:
Technologies for Development ISBN: 9783319162461
Dryland irrigation is a major concern in arid and semiarid regions where agricultural output is low and water a scarce and vital resource. Irrigation efficiency and sustainability are, therefore, of paramount importance in these regions, where small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efa1517e342bb879db448bf9dcc02dba
https://doi.org/10.1007/978-3-319-16247-8_3
https://doi.org/10.1007/978-3-319-16247-8_3
Publikováno v:
IEEE/ACM Transactions on Networking. 14:492-505
Lattice networks are widely used in regular settings like grid computing, distributed control, satellite constellations, and sensor networks. Thus, limits on capacity, optimal routing policies, and performance with finite buffers are key issues and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc25975ba5371db34692370e7e5e2481
https://doi.org/10.1109/tnet.2006.876187
https://doi.org/10.1109/tnet.2006.876187
Autor:
Guillermo Barrenetxea, Bettina Schaefli, Andrea Rinaldo, Marc B. Parlange, Russell Smith, Cara Tobin, Silvia Simoni, Ludovico Nicotina
Publikováno v:
Advances in Water Resources
This paper proposes a new extension of the classical degree day snowmelt model applicable to hourly simulations for regions with limited data and adaptable to a broad range of spatially explicit hydrological models. The snowmelt schemes have been tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ddc95899d803838424c93c6a21a85bb
Publikováno v:
ICIP
Reducing communication cost is crucial for outdoor wireless monitoring cameras which are constrained by limited energy budgets. From event detection point of view, traditional video coding schemes such as H.264 are inefficient as they ignore the "mea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85402f28b1d3a1f5351100630c5bd9bf
https://doi.org/10.1109/icip.2012.6467061
https://doi.org/10.1109/icip.2012.6467061
Publikováno v:
ICIP
Low-cost monitoring cameras/webcams provide unique visual information. To take advantage of the vast image dataset captured by a typical webcam, we consider the problem of retrieving weather information from a database of still images. The task is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0a1aca891149f794fcdba8feb67b091
https://doi.org/10.1109/icip.2012.6467244
https://doi.org/10.1109/icip.2012.6467244