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Ruiz González, Mariano ORCID: https://orcid.org/0000-0002-1337-0110, Barrera Lopez de Turiso, Eduardo
ORCID: https://orcid.org/0000-0001-7197-8821, Gonzalez, Joaquin, Murari, Andrea, Melendez, R., Rattà, G.A. and Gonzalez, S.
(2010).
Test-bed of a real time detection system for L/H and H/L transitions implemented with the ITMS platform.
In: "7th IAEA Technical Meeting on Control, Data Acquisition, and Remote Participation for Fusion Research", 15/06/2009 - 19/06/2010, Aix-en-Provence, Frania.
Title: | Test-bed of a real time detection system for L/H and H/L transitions implemented with the ITMS platform |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 7th IAEA Technical Meeting on Control, Data Acquisition, and Remote Participation for Fusion Research |
Event Dates: | 15/06/2009 - 19/06/2010 |
Event Location: | Aix-en-Provence, Frania |
Title of Book: | Proceedings of the 7th IAEA Technical Meeting on Control, Data Acquisition, and Remote Participation for Fusion Research |
Date: | July 2010 |
Volume: | 85, Is |
Subjects: | |
Faculty: | E.U.I.T. Telecomunicación (UPM) |
Department: | Sistemas Electrónicos y de Control [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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A basic requirement of the data acquisition systems used in long pulse fusion experiments is to detect events of interest in the acquired signals in real time. Developing such applications is usually a complex task, so it is necessary to develop a set of hardware and software tools that simplify their implementation. An example of these tools is the Intelligent Test and Measurement System (ITMS), which offers distributed data acquisition, distribution and real time processing capabilities with advanced, but easy to use, software tools that simplify application development and system setup. This paper presents the application of the ITMS platform to solve the problem of detecting L/H and H/L transitions in real time based on the use of efficient pattern recognition algorithms.
Item ID: | 7290 |
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DC Identifier: | https://oa.upm.es/7290/ |
OAI Identifier: | oai:oa.upm.es:7290 |
Official URL: | http://www.sciencedirect.com/science/journal/09203... |
Deposited by: | Memoria Investigacion |
Deposited on: | 01 Jun 2011 08:37 |
Last Modified: | 20 Apr 2016 16:27 |