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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Krause, D.; Hussein, W. B.; Hussein, M. A.; Becker, T. 
Titel:
Ultrasonic sensor for predicting sugar concentration using multivariate calibration 
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:
Seitenangaben Beitrag:
1703-1712 
Print-ISSN:
0041-624X