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  1. Home
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  5. Liquid Composition Identification and Characteristic Measurement Using Ultrasonic Transmission Technique via Neural Network
 
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Liquid Composition Identification and Characteristic Measurement Using Ultrasonic Transmission Technique via Neural Network

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Date Issued
2023-08-01
Author(s)
Muhammad Naufal Mansor
Universiti Malaysia Perlis
Yahya S.
Wan Azani Wan Mustafa
Universiti Malaysia Perlis
Habibah Mokhtaruddin
Universiti Malaysia Perlis
Syahrul Affandi Saidi
Universiti Malaysia Perlis
Ilham Shafini Ahmad Mahyudin
Universiti Malaysia Perlis
Mohd Aminudin Jamlos
Universiti Malaysia Perlis
Noor Anida Abu Talib
Universiti Malaysia Perlis
Mohd Zamri Hasan
Universiti Malaysia Perlis
DOI
10.37934/araset.31.3.328335
Abstract
This project is to determine the composition of liquids solvent by using the ultrasonic frequency signal from echoscope scan machine. The transmission technique of ultrasonic signal is focused. On the research experiment, studies on mixing of distilled water with control sodium chloride (Kitchen Salt), kitchen sugar and monosodium glutamate (MSG). The Parameters such as Fast Fourier Transform (FFT) which is the parameters are using to identify the ratio of composition of liquid solvent. The feature extraction of median, average and root mean square (RMS) from FFT is represented with different result analysis such as sensitivity, specificity, accuracy, Area under curve, kappa, F-measure and precision. The results performed more than 90% with Neural Network.
Funding(s)
Universiti Malaysia Perlis
Subjects
  • Liquid identification...

File(s)
research repository notification.pdf (4.4 MB)
Views
1
Acquisition Date
Nov 19, 2024
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