Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Alexandru Onose"'
Publikováno v:
Springer Proceedings in Energy ISBN: 9783030557560
The research focus was to develop an off-grid hybrid RES mobile containerized system, combining the energy from the photovoltaic and micro-wind turbine source in order to directly providing the energy via DC-DC power supply. The applicability of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4aac1006a967cbae384e0d9b0af4e2a
https://doi.org/10.1007/978-3-030-55757-7_10
https://doi.org/10.1007/978-3-030-55757-7_10
Autor:
Richard A. Perley, Arwa Dabbech, Alexandru Onose, Oleg Smirnov, Abdullah Abdulaziz, Yves Wiaux
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 476:2853-2866
We leverage the Sparsity Averaging Reweighted Analysis (SARA) approach for interferometric imaging, that is based on convex optimisation, for the super-resolution of Cyg A from observations at the frequencies 8.422GHz and 6.678GHz with the Karl G. Ja
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3df2fbbe4ca2ef27ad270963971d8d22
https://doi.org/10.1093/mnras/sty372
https://doi.org/10.1093/mnras/sty372
Autor:
Bogdan Dumitrescu, Alexandru Onose
Publikováno v:
IEEE Transactions on Signal Processing. 63:4091-4101
Coordinate descent (CD) is a simple optimization technique suited to low complexity requirements and also for solving large problems. In randomized version, CD was recently shown as very effective for solving least-squares (LS) and other optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81961e021614fdc728e3057068b12f37
https://doi.org/10.1109/tsp.2015.2436369
https://doi.org/10.1109/tsp.2015.2436369
Publikováno v:
2017 Electric Vehicles International Conference (EV).
The paper presents an advanced modular photovoltaic system designed for Pug-in Small Electric Vehicles (PsEV) electricity supply in remote applications. The concept is based on the modularity of the photovoltaic (PV) power supply system (PVbox) that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f156755f84f9bab1d0b7e2678680786
https://doi.org/10.1109/ev.2017.8242105
https://doi.org/10.1109/ev.2017.8242105
Next generation radio-interferometers, like the Square Kilometre Array, will acquire tremendous amounts of data with the goal of improving the size and sensitivity of the reconstructed images by orders of magnitude. The efficient processing of large-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0102dabc1c8ea1df99a2f9d9b5cee80
Autor:
Alexandru Onose, Bogdan Dumitrescu
Publikováno v:
Signal Processing. 93:3143-3150
We present a greedy recursive algorithm for computing sparse solutions to systems of linear equations. Derived from adaptive matching pursuit, the algorithm employs a greedy column selection strategy which, combined with coefficient update via coordi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47685ad06c7087ed4b2038b5244692d6
https://doi.org/10.1016/j.sigpro.2013.05.001
https://doi.org/10.1016/j.sigpro.2013.05.001
Publikováno v:
EUSIPCO
With the advent of the next-generation radio-interferometric telescopes, like the Square Kilometre Array, novel signal processing methods are needed to provide the expected imaging resolution and sensitivity from extreme amounts of hyper-spectral dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfc71e067f5b6310fc8de0973033fb2e
https://doi.org/10.1109/eusipco.2016.7760276
https://doi.org/10.1109/eusipco.2016.7760276
Autor:
Bogdan-Alexandru Onose
Publikováno v:
2016 Eleventh International Conference on Ecological Vehicles and Renewable Energies (EVER).
This paper presents the objective of the Energy IN TIME (EiT) project of developing more advanced control method for existing non-residential buildings. This approach will be based on advanced building simulation models to reduce the energy consumpti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9bcf9e5dd21eb71eca232b393e7d8b9
https://doi.org/10.1109/ever.2016.7476400
https://doi.org/10.1109/ever.2016.7476400
Autor:
Rafael E. Carrillo, Jean-Philippe Thiran, Jean-Christophe Pesquet, Audrey Repetti, Yves Wiaux, Jason D. McEwen, Alexandru Onose
In the context of next generation radio telescopes, like the Square Kilometre Array, the efficient processing of large-scale datasets is extremely important. Convex optimisation tasks under the compressive sensing framework have recently emerged and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26b3fe99075b27d5533bad6f2982d953
Publikováno v:
EUSIPCO
Next generation radio telescopes, like the Square Kilometre Array, will acquire an unprecedented amount of data for radio astronomy. The development of fast, parallelisable or distributed algorithms for handling such large-scale data sets is of prime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::839fa9ea2ac56f9858126a5d9244c16b