TY - GEN
T1 - Implementation of hot-wire anemometer on olfactory mobile robot to localize gas source
AU - Rahardi, Gamma Aditya
AU - Rivai, Muhammad
AU - Purwanto, Djoko
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/26
Y1 - 2018/4/26
N2 - Wind is a major factor that can inhibit the process of tracking the source of gas leakage by the olfactory mobile robot, as it can reduce and even remove the gas concentration. This will cause the robot to take a long time to find the source of the gas leak, even fails. Therefore, this study has implemented anemometer to help the robot to determine the direction of the gas source. A hot wire anemometer is a tool used to measure wind speed by utilizing heated wire filaments. The nickel wire is wrapped to a semiconductor temperature sensor and is supplied with a constant current resulting in a temperature of 60 °C. The Neural Network algorithm is used to determine wind direction based on the pattern of temperature change values on four anemometers. The experimental results showed that this anemometer has an accuracy rate of 88%. In addition, the application of anemometer on the olfactory mobile robot can help the robot's movement towards the target so that it can improve the success rate.
AB - Wind is a major factor that can inhibit the process of tracking the source of gas leakage by the olfactory mobile robot, as it can reduce and even remove the gas concentration. This will cause the robot to take a long time to find the source of the gas leak, even fails. Therefore, this study has implemented anemometer to help the robot to determine the direction of the gas source. A hot wire anemometer is a tool used to measure wind speed by utilizing heated wire filaments. The nickel wire is wrapped to a semiconductor temperature sensor and is supplied with a constant current resulting in a temperature of 60 °C. The Neural Network algorithm is used to determine wind direction based on the pattern of temperature change values on four anemometers. The experimental results showed that this anemometer has an accuracy rate of 88%. In addition, the application of anemometer on the olfactory mobile robot can help the robot's movement towards the target so that it can improve the success rate.
KW - Hot-wire anemometer
KW - Neural network
KW - Olfactory mobile robot
UR - http://www.scopus.com/inward/record.url?scp=85050409835&partnerID=8YFLogxK
U2 - 10.1109/ICOIACT.2018.8350680
DO - 10.1109/ICOIACT.2018.8350680
M3 - Conference contribution
AN - SCOPUS:85050409835
T3 - 2018 International Conference on Information and Communications Technology, ICOIACT 2018
SP - 412
EP - 417
BT - 2018 International Conference on Information and Communications Technology, ICOIACT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Information and Communications Technology, ICOIACT 2018
Y2 - 6 March 2018 through 7 March 2018
ER -