Institution
Grenoble Institute of Technology
Education•Grenoble, France•
About: Grenoble Institute of Technology is a education organization based out in Grenoble, France. It is known for research contribution in the topics: Hyperspectral imaging & Geology. The organization has 3427 authors who have published 5345 publications receiving 137158 citations. The organization is also known as: Grenoble INP.
Papers published on a yearly basis
Papers
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07 Nov 2012TL;DR: In this article, two condition-based maintenance strategies adaptive to environmental conditions are developed based on this set of information, and the adaptation scheme is time-based, while in the second one, it is condition based.
Abstract: The present article deals with the efficient use of different types of monitoring information in optimizing condition-based maintenance decision making for a deteriorating system operating under variable environment. The degradation phenomenon of a system is the fatigue crack growth that is modeled by a physics-based stochastic process. The environment process is assumed to be modeled by a time-homogenous Markov chain with finite state space. We suppose that the environmental condition is observed perfectly, while the crack depth can be assessed imperfectly through a non-destructive ultrasonic technique. As such, two kinds of indirect information are available on the system at each inspection time: environmental covariate and diagnostic covariate. Based on this set of information, two condition-based maintenance strategies adaptive to environmental conditions are developed. In the first one, the adaptation scheme is time-based, while in the second, it is condition-based. These maintenance strategies are c...
38 citations
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TL;DR: In this paper, the authors compare the ability of two numerical approaches (i.e., 2D and 3D) to reproduce the real behavior of the tunnel measured in situ.
38 citations
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TL;DR: In this article, the authors present an algorithm to compute the CUP decomposition of a matrix, adapted from the LSP algorithm of Ibarra, Moran and Hui (1982).
Abstract: Transforming a matrix over a field to echelon form, or decomposing the matrix as a product of structured matrices that reveal the rank profile, is a fundamental building block of computational exact linear algebra. This paper surveys the well known variations of such decompositions and transformations that have been proposed in the literature. We present an algorithm to compute the CUP decomposition of a matrix, adapted from the LSP algorithm of Ibarra, Moran and Hui (1982), and show reductions from the other most common Gaussian elimination based matrix transformations and decompositions to the CUP decomposition. We discuss the advantages of the CUP algorithm over other existing algorithms by studying time and space complexities: the asymptotic time complexity is rank sensitive, and comparing the constants of the leading terms, the algorithms for computing matrix invariants based on the CUP decomposition are always at least as good except in one case. We also show that the CUP algorithm, as well as the computation of other invariants such as transformation to reduced column echelon form using the CUP algorithm, all work in place, allowing for example to compute the inverse of a matrix on the same storage as the input matrix.
38 citations
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TL;DR: In this article, pure ZnO:Eu 3+ nanoparticles were prepared by a solution combustion method by using nitric acid as a fuel, and the reaction mixture was heated at 350°C resulting into a rapid exothermic reaction yielding pure nanopowders.
38 citations
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TL;DR: In this article, a TiO 2 -SiO 2 composite thin films are reported to exhibit a naturally persistent super-hydrophilicity and this property can easily be photo-regenerated after a long aging period in ambient atmosphere.
38 citations
Authors
Showing all 3527 results
Name | H-index | Papers | Citations |
---|---|---|---|
J. F. Macías-Pérez | 134 | 486 | 94715 |
J-Y. Hostachy | 119 | 716 | 65686 |
Alain Dufresne | 111 | 358 | 45904 |
David Brown | 105 | 1257 | 46827 |
Raphael Noel Tieulent | 89 | 417 | 24926 |
Antonio Plaza | 79 | 631 | 29775 |
G. Conesa Balbastre | 76 | 208 | 18800 |
Jocelyn Chanussot | 73 | 614 | 27949 |
Ekhard K. H. Salje | 70 | 581 | 19938 |
Richard Wilson | 70 | 809 | 21477 |
Jerome Bouvier | 70 | 278 | 13724 |
David Maurin | 68 | 215 | 17295 |
Alessandro Gandini | 67 | 348 | 19813 |
Matthieu Tristram | 67 | 143 | 17188 |
D. Santos | 65 | 113 | 15648 |