scholarly journals On spectral partitioning of signed graphs

Author(s):  
Andrew Knyazev
2018 ◽  
Vol 9 (10) ◽  
pp. 1473-1476
Author(s):  
K. V. Madhusudhan
Keyword(s):  

2017 ◽  
Vol 340 (6) ◽  
pp. 1271-1286 ◽  
Author(s):  
Beifang Chen ◽  
Jue Wang ◽  
Thomas Zaslavsky
Keyword(s):  

2021 ◽  
Vol 40 (3) ◽  
Author(s):  
Peikang Zhang ◽  
Baofeng Wu ◽  
Changxiang He
Keyword(s):  

Author(s):  
Marina Arav ◽  
F. Scott Dahlgren ◽  
Hein van der Holst

Author(s):  
Jean-Baptiste Saulnier ◽  
Izan Le Crom

Located off the Guérande peninsula, SEM-REV is the French maritime facility dedicated to the testing of wave energy converters and related components. Lead by Ecole Centrale de Nantes through the LHEEA laboratory, its aim is to promote research alongside the development of new offshore technologies. To this end, the 1km2, grid-connected zone is equipped with a comprehensive instruments network sensing met-ocean processes and especially waves, with two identical directional Waverider buoys deployed on the site since 2009. For the design of moored floating structures and, a fortiori, floating marine energy converters, the knowledge of the main wave resource — for regular operation — but also extreme conditions — for moorings and device survivability — has to be as precise as possible. Also, the consideration of the multiple wave systems (swell, wind sea) making up the sea state is a key asset for the support of developers before and during the testing phase. To this end, a spectral partitioning algorithm has been implemented which enables the individual characterisation of wave systems, in particular that of their spectral peakedness which is especially addressed in this work. Peakedness has been shown to be strongly related to the groupiness of large waves and is defined here as the standard JONSWAP’s peak enhancement factor γ. Statistics related to this quantity are derived from the measurement network, with a particular focus on the extreme conditions reported on SEM-REV (Joachim storm).


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