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The Artificial Neural Network Based System for Validation of Thermocouples Used in Biomedicine
Tanikic, Dejan; DESPOTOVIC, Vladimir; Djenadic, Dalibor et al.
2013In Proceedings of the 13th International Conference on Environment and Electrical Engineering (EEEIC)
Peer reviewed
 

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Keywords :
thermocouples; biomedicine; artificial neural networks
Abstract :
[en] Machining operations are widely used in the orthopedic surgery. The temperature which occurs in the cutting zone, during the machining of the bones, may have many negative consequences in the postoperative period. Therefore, the measuring and the modeling of this parameter is a very important task. In this paper, the thermocouples are presented as a potential tool for the temperature measuring. The paper also deals with the system for validation of the thermocouples. The artificial neural network is used for modeling of the relationship between the electromotive force (as the thermocouple output) and the corresponding temperature. It is shown that the results of the modeling are in good correlation with the measured data.
Disciplines :
Computer science
Author, co-author :
Tanikic, Dejan;  University of Belgrade > Technical Faculty in Bor
DESPOTOVIC, Vladimir ;  University of Belgrade > Technical Faculty in Bor
Djenadic, Dalibor;  University of Belgrade > Technical Faculty in Bor
Milivojevic, Dragan;  Mining and Metallurgy Institute > Department of Informatics
Manic, Miodrag;  University of Nis > Faculty of Mechanical Engineering
External co-authors :
yes
Language :
English
Title :
The Artificial Neural Network Based System for Validation of Thermocouples Used in Biomedicine
Publication date :
November 2013
Event name :
13th International Conference on Environment and Electrical Engineering (EEEIC 2013)
Event place :
Wroclaw, Poland
Event date :
from 01-11-2013 to 03-11-2013
Audience :
International
Main work title :
Proceedings of the 13th International Conference on Environment and Electrical Engineering (EEEIC)
Publisher :
IEEE
ISBN/EAN :
978-1-4799-2803-3
Pages :
172-175
Peer reviewed :
Peer reviewed
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since 07 November 2019

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