A Novel ANN-Based Adaptive Ultrasonic Measurement System for Accurate Water Level Monitoring

Low-cost ultrasonic sensors are widely used for non-contact distance measurement problems. Speed of ultrasonic waves is greatly affected by environmental conditions such as temperature and relative humidity among a few other parameters. Presence of acoustic and electronic noise also influences an ul...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 69; číslo 6; s. 3359 - 3369
Hlavní autori:	Sahoo, Ajit Kumar, Udgata, Siba Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Acoustic noise Acoustics Adaptive systems Algorithms Artificial neural network (ANN) Artificial neural networks Back propagation Computer architecture Distance measurement Error analysis Error reduction Humidity Level measurement Neural networks Relative humidity Sensors Storage tanks temperature Temperature measurement Temperature sensors ultrasonic measurement system (UMS) ultrasonic sensor Ultrasonic variables measurement Water levels Water tanks
ISSN:	0018-9456, 1557-9662
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