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Titel:

Ultrasonic sensor for predicting sugar concentration using multivariate calibration

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Krause, D.; Hussein, W. B.; Hussein, M. A.; Becker, T.
Abstract:
This paper presents a multivariate regression method for the prediction of maltose concentration in aqueous solutions. For this purpose, time and frequency domain of ultrasonic signals are analyzed. It is shown, that the prediction of concentration at different temperatures is possible by using several multivariate regression models for individual temperature points. Combining these models by a linear approximation of each coefficient over temperature results in a unified solution, which takes t...     »
Stichworte:
Ultrasound Sugar concentration Feature extraction Multivariate data analysis Partial least squares (PLS)
Zeitschriftentitel:
Ultrasonics
Jahr:
2014
Band / Volume:
54
Heft / Issue:
6
Seitenangaben Beitrag:
1703-1712
Volltext / DOI:
doi:10.1016/j.ultras.2014.02.019
WWW:
http://www.sciencedirect.com/science/article/pii/S0041624X1400050X
Print-ISSN:
0041-624X
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