Source:

Provide the names, email addresses, institutions, and other contact information of the donors and creators of the data set.
M. Fatih ADAK, fatihadak '@' sakarya.edu.tr, Sakarya University, Turkey
Peter Lieberzeit, University of Vienna, Austria
Purim Jarujamrus, Ratchathani University, Thailand
Nejat Yumusak, Sakarya University, Turkey

Data Set Information:

In the dataset there are 5 types of dataset.
QCM3, QCM6, QCM7, QCM10, QCM12

In each of dataset, There is alcohol classification of five types,
1-octanol, 1-propanol, 2-butanol, 2-propanol, 1-isobutanol

Attribute Information:

The gas sample is passed through the sensor in five different concentrations. These concentrations are,
Concentration Air ratio (ml) Gas ratio (ml)
1 0.799 0.201
2 0.700 0.300
3 0.600 0.400
4 0.501 0.499
5 0.400 0.600

There are two channels in the sensor. One of these circles forms channel 1, and the other forms channel 2. MIP and MP ratios used in the QCM sensors are,

Sensor name MIP ratio NP ratio
QCM3 1 1
QCM6 1 0
QCM7 1 0.5
QCM10 1 2
QCM12 0 1

Relevant Papers:

M. Fatih Adak, Peter Lieberzeit, Purim Jarujamrus, Nejat Yumusak, Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network, Engineering Science and Technology, an International Journal, 2019, , ISSN 2215-0986, [Web Link]. ([Web Link])

Citation Request:

M. Fatih Adak, Peter Lieberzeit, Purim Jarujamrus, Nejat Yumusak, Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network, Engineering Science and Technology, an International Journal, 2019, , ISSN 2215-0986, [Web Link]. ([Web Link])

Supported By:

 In Collaboration With: