Analysis of Water, Ethanol, and Fructose Mixtures Using Nondestructive Resonant Spectroscopy of Mechanical Vibrations and a Grouping Genetic Algorithm
A new haptic sensor that is based on vibration produced by mechanical excitation from a clock coupled to a resonant cavity is presented. This sensor is intended to determine the chemical composition of liquid mixtures in a completely non-destructive method. In this case, a set of 23 samples of water...
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MDPI AG
2018-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/8/2695 |
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| author | Pilar García Díaz Juan Antonio Martínez Rojas Manuel Utrilla Manso Leticia Monasterio Expósito |
| author_facet | Pilar García Díaz Juan Antonio Martínez Rojas Manuel Utrilla Manso Leticia Monasterio Expósito |
| author_sort | Pilar García Díaz |
| collection | DOAJ |
| description | A new haptic sensor that is based on vibration produced by mechanical excitation from a clock coupled to a resonant cavity is presented. This sensor is intended to determine the chemical composition of liquid mixtures in a completely non-destructive method. In this case, a set of 23 samples of water, ethanol, and fructose mixtures has been used to simulate different kinds of alcoholic beverage. The spectral information from the vibrational absorption bands of liquid samples is analyzed by a Grouping Genetic Algorithm. An Extreme Learning Machine implements the fitness function that is able to classify the mixtures according to the concentration of ethanol and fructose. The 23 samples range from 0%–13% by volume of ethanol and from 0–3 g/L of fructose, all of them with different concentration. The new technique achieves an average classification accuracy of 96%. |
| first_indexed | 2024-04-14T03:30:55Z |
| format | Article |
| id | doaj.art-54ae4d6ffc574d31bd811a01a083df90 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T03:30:55Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-54ae4d6ffc574d31bd811a01a083df902022-12-22T02:14:58ZengMDPI AGSensors1424-82202018-08-01188269510.3390/s18082695s18082695Analysis of Water, Ethanol, and Fructose Mixtures Using Nondestructive Resonant Spectroscopy of Mechanical Vibrations and a Grouping Genetic AlgorithmPilar García Díaz0Juan Antonio Martínez Rojas1Manuel Utrilla Manso2Leticia Monasterio Expósito3Department of Signal Theory and Communications, University of Alcalá, Polytechnic School, 28871 Alcalá de Henares, Madrid, SpainDepartment of Signal Theory and Communications, University of Alcalá, Polytechnic School, 28871 Alcalá de Henares, Madrid, SpainDepartment of Signal Theory and Communications, University of Alcalá, Polytechnic School, 28871 Alcalá de Henares, Madrid, SpainDepartment of Signal Theory and Communications, University of Alcalá, Polytechnic School, 28871 Alcalá de Henares, Madrid, SpainA new haptic sensor that is based on vibration produced by mechanical excitation from a clock coupled to a resonant cavity is presented. This sensor is intended to determine the chemical composition of liquid mixtures in a completely non-destructive method. In this case, a set of 23 samples of water, ethanol, and fructose mixtures has been used to simulate different kinds of alcoholic beverage. The spectral information from the vibrational absorption bands of liquid samples is analyzed by a Grouping Genetic Algorithm. An Extreme Learning Machine implements the fitness function that is able to classify the mixtures according to the concentration of ethanol and fructose. The 23 samples range from 0%–13% by volume of ethanol and from 0–3 g/L of fructose, all of them with different concentration. The new technique achieves an average classification accuracy of 96%.http://www.mdpi.com/1424-8220/18/8/2695haptic sensorswine chemistrynondestructive analysisfeature selectionextreme learning machineclassification |
| spellingShingle | Pilar García Díaz Juan Antonio Martínez Rojas Manuel Utrilla Manso Leticia Monasterio Expósito Analysis of Water, Ethanol, and Fructose Mixtures Using Nondestructive Resonant Spectroscopy of Mechanical Vibrations and a Grouping Genetic Algorithm Sensors haptic sensors wine chemistry nondestructive analysis feature selection extreme learning machine classification |
| title | Analysis of Water, Ethanol, and Fructose Mixtures Using Nondestructive Resonant Spectroscopy of Mechanical Vibrations and a Grouping Genetic Algorithm |
| title_full | Analysis of Water, Ethanol, and Fructose Mixtures Using Nondestructive Resonant Spectroscopy of Mechanical Vibrations and a Grouping Genetic Algorithm |
| title_fullStr | Analysis of Water, Ethanol, and Fructose Mixtures Using Nondestructive Resonant Spectroscopy of Mechanical Vibrations and a Grouping Genetic Algorithm |
| title_full_unstemmed | Analysis of Water, Ethanol, and Fructose Mixtures Using Nondestructive Resonant Spectroscopy of Mechanical Vibrations and a Grouping Genetic Algorithm |
| title_short | Analysis of Water, Ethanol, and Fructose Mixtures Using Nondestructive Resonant Spectroscopy of Mechanical Vibrations and a Grouping Genetic Algorithm |
| title_sort | analysis of water ethanol and fructose mixtures using nondestructive resonant spectroscopy of mechanical vibrations and a grouping genetic algorithm |
| topic | haptic sensors wine chemistry nondestructive analysis feature selection extreme learning machine classification |
| url | http://www.mdpi.com/1424-8220/18/8/2695 |
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