Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mathias Ngo"'
Autor:
Alexander Kokka, Florian Stuker, Thorsten Gerloff, Markus Schneider, Anders Thorseth, Alejandro Ferrero, Klaus Ludwig, Mathias Ngo, Tomi Pulli, Adam Klej, Thomas Reiners, Tuomas Poikonen, Erkki Ikonen, Paul Dekker, Peter Blattner, Sophie Jost
Publikováno v:
Kokka, A, Poikonen, T, Blattner, P, Jost, S, Ferrero, A, Pulli, T, Ngo, M, Thorseth, A, Gerloff, T, Dekker, P, Stuker, F, Klej, A, Ludwig, K, Schneider, M, Reiners, T & Ikonen, E 2018, ' Development of white LED illuminants for colorimetry and recommendation of white LED reference spectrum for photometry ', Metrologia, vol. 55, no. 4, pp. 526-534 . https://doi.org/10.1088/1681-7575/aacae7
General lighting is undergoing a revolutionary change towards LED-based technologies. To provide firm scientific basis for the related colorimetric and photometric measurements, this paper presents the development of new white-LED-based illuminants f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae96daea81c5a88167efd1cbcebe5d5
https://orbit.dtu.dk/en/publications/a95bfea1-fa55-4bfb-9a13-5fe3ed05edb1
https://orbit.dtu.dk/en/publications/a95bfea1-fa55-4bfb-9a13-5fe3ed05edb1
Autor:
Tomi Pulli, Mathias Ngo, Sophie Jost, Alejandro Ferrero, Peter Blattner, Anders Thorseth, Tuomas Poikonen
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Jeju Island, South Korea, October 21-28, 2017. -- http://www.cie.co.at/news/cie-2017-midterm-meeting-jeju-island-south-korea
Solid-state lighting (SSL) products are already in use by consumers and are rapidly gaining the lighting market. Especia
Solid-state lighting (SSL) products are already in use by consumers and are rapidly gaining the lighting market. Especia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3ce1f64616514a79e5ac37a6d880790
http://hdl.handle.net/10261/163388
http://hdl.handle.net/10261/163388
Autor:
Mathias Ngo, Raphaël Labayrade
Publikováno v:
MVA
We present Multi-Genomic Curve Extraction (MGCE), a robust method to extract curves in noisy datasets and images. Unlike other robust extraction methods, MGCE does not require to choose the global curve model to extract prior to the process. Instead,
Autor:
Raphaël Labayrade, Mathias Ngo
Publikováno v:
MCDM
The first step of any optimization process consists in choosing the Decision Variables (DV) and its relationships that model the problem, system or object to optimize. Many problems cannot be represented by a unique, exhaustive model which would ensu
Autor:
Raphaël Labayrade, Mathias Ngo
Publikováno v:
GECCO (Companion)