Cellular Neural Network Algorithms for Real-Time Image Analysis in Plasma Fusion (Articolo in rivista)

Type
Label
  • Cellular Neural Network Algorithms for Real-Time Image Analysis in Plasma Fusion (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TIM.2009.2016383 (literal)
Alternative label
  • Vagliasindi G.; Murari A.; Arena P.; Fortuna L.; Mazzitelli G. (2009)
    Cellular Neural Network Algorithms for Real-Time Image Analysis in Plasma Fusion
    in IEEE transactions on instrumentation and measurement
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Vagliasindi G.; Murari A.; Arena P.; Fortuna L.; Mazzitelli G. (literal)
Pagina inizio
  • 2417 (literal)
Pagina fine
  • 2425 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • La rivista è pubblicata anche online con ISSN 1557-9662. (literal)
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  • http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4840482 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 58 (literal)
Rivista
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  • Issue 8 (literal)
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  • 9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 8 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1 Univ Catania, Dept Elect Elect & Syst Engn DIEES, I-95125 Catania, Italy - 2 Assoc EURATOM ENEA Fus, Consorzio RFX, I-351287 Padua, Italy - 3 ENEA, Gest Grandi Impianti Sperimentali, I-00044 Frascati, Italy - (Vagliasindi G. 1; Murari A. 2; Arena P. 1; Fortuna L. 1; Mazzitelli G. 3) (literal)
Titolo
  • Cellular Neural Network Algorithms for Real-Time Image Analysis in Plasma Fusion (literal)
Abstract
  • In modern tokamaks, visible and infrared video cameras are becoming more and more important in monitoring plasma evolution during fusion experiments. Analyzing these images in real time can provide relevant information for controlling plasma and improving machine safety. The real-time image processing capability of the cellular nonlinear/neural network-based chips that are available nowadays has been applied to several tasks, both at Frascati Tokamak Upgrade (FTU) and at Joint European Torus (JET). The successful applications range from the identification of plasma instabilities, such as multifaceted asymmetric radiations from the edge (MARFEs), to the determination of the strike-point position in the divertor and to the detection of the so-called \"hot spots.\" (literal)
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