The artificial neural network based system for validation of thermocouples used in biomedicine

Dejan Tanikić; Vladimir Despotović; Dalibor Denadic; Dragan Milivojević; Miodrag Manić

doi:10.1109/EEEIC-2.2013.6737902

The artificial neural network based system for validation of thermocouples used in biomedicine

Dejan Tanikić, Vladimir Despotović, Dalibor Denadic, Dragan Milivojević, Miodrag Manić

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings
Pages	172-175
Number of pages	4
DOIs	https://doi.org/10.1109/EEEIC-2.2013.6737902
Publication status	Published - 2013
Externally published	Yes
Event	2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Wroclaw, Poland Duration: 1 Nov 2013 → 3 Nov 2013

Publication series

Name	2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings

Conference

Conference	2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013
Country/Territory	Poland
City	Wroclaw
Period	1/11/13 → 3/11/13

Keywords

Artificial neural networks
Biomedicine
Thermocouples

Access to Document

10.1109/EEEIC-2.2013.6737902

Cite this

Tanikić, D., Despotović, V., Denadic, D., Milivojević, D., & Manić, M. (2013). The artificial neural network based system for validation of thermocouples used in biomedicine. In 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings (pp. 172-175). Article 6737902 (2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings). https://doi.org/10.1109/EEEIC-2.2013.6737902

Tanikić, Dejan ; Despotović, Vladimir ; Denadic, Dalibor et al. / The artificial neural network based system for validation of thermocouples used in biomedicine. 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings. 2013. pp. 172-175 (2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings).

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title = "The artificial neural network based system for validation of thermocouples used in biomedicine",

abstract = "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.",

keywords = "Artificial neural networks, Biomedicine, Thermocouples",

author = "Dejan Taniki{\'c} and Vladimir Despotovi{\'c} and Dalibor Denadic and Dragan Milivojevi{\'c} and Miodrag Mani{\'c}",

year = "2013",

doi = "10.1109/EEEIC-2.2013.6737902",

language = "English",

isbn = "9781479928026",

series = "2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings",

pages = "172--175",

booktitle = "2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings",

note = "2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 ; Conference date: 01-11-2013 Through 03-11-2013",

}

Tanikić, D, Despotović, V, Denadic, D, Milivojević, D & Manić, M 2013, The artificial neural network based system for validation of thermocouples used in biomedicine. in 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings., 6737902, 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings, pp. 172-175, 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013, Wroclaw, Poland, 1/11/13. https://doi.org/10.1109/EEEIC-2.2013.6737902

The artificial neural network based system for validation of thermocouples used in biomedicine. / Tanikić, Dejan; Despotović, Vladimir; Denadic, Dalibor et al.
2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings. 2013. p. 172-175 6737902 (2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The artificial neural network based system for validation of thermocouples used in biomedicine

AU - Tanikić, Dejan

AU - Despotović, Vladimir

AU - Denadic, Dalibor

AU - Milivojević, Dragan

AU - Manić, Miodrag

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Artificial neural networks

KW - Biomedicine

KW - Thermocouples

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DO - 10.1109/EEEIC-2.2013.6737902

M3 - Conference contribution

AN - SCOPUS:84897726618

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T3 - 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings

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BT - 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings

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Tanikić D, Despotović V, Denadic D, Milivojević D, Manić M. The artificial neural network based system for validation of thermocouples used in biomedicine. In 2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings. 2013. p. 172-175. 6737902. (2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Conference Proceedings). doi: 10.1109/EEEIC-2.2013.6737902

The artificial neural network based system for validation of thermocouples used in biomedicine

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