Electronic nose dataset for beef quality monitoring under an uncontrolled environment
Description
This dataset is acquired using ten Metal-Oxide Semiconductor gas sensors and humidity&temperature sensor. Extra-lean fresh beef is monitored up to 75 hours to get time series data under fluctuating ambient temperature and humidity. Hence, the first challenge is gas sensor signals that contaminated by noise. Moreover, the second challenge is overlapping selectivity of gas sensor that leads to a not optimum sensor array. This file contains 15 columns including time (minute), class, TVC, ten columns of gas sensor response, humidity, and temperature value. More detail description of this dataset can be found in data article. For utilization of this dataset, please cite the following relevant paper: [1] D.R. Wijaya, R. Sarno, E. Zulaika, Information Quality Ratio as a novel metric for mother wavelet selection, Chemometrics and Intelligent Laboratory Systems. 160 (2016) 59–71. doi:10.1016/j.chemolab.2016.11.012. [2] D.R. Wijaya, R. Sarno, E. Zulaika, Sensor Array Optimization for Mobile Electronic Nose: Wavelet Transform and Filter Based Feature Selection Approach, International Review on Computers and Software. 11 (2016) 659–671. doi:https://doi.org/10.15866/irecos.v11i8.9425. [3] D.R. Wijaya, R. Sarno, E. Zulaika, S.I. Sabila, Development of mobile electronic nose for beef quality monitoring, in: 4th Information Systems International Conference 2017, ISICO 2017, Procedia Computer Science, Elsevier B.V., Bali, 2017: pp. 728–735. doi:10.1016/j.procs.2017.12.211.