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Journal > International Journal of Electrical and Computer Engineering (IJECE) > Implementation of Electronic Nose in Omni-directional Robot

 

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International Journal of Electrical and Computer Engineering (IJECE)
Vol 3, No 3: June 2013
Implementation of Electronic Nose in Omni-directional Robot
Harianto, Harianto ( STMIK SURABAYA)
Rivai, Muhammad ( Institute of Technology Sepuluh Nopember)
Purwanto, Djoko ( Institute of Technology Sepuluh Nopember)
Article Info   ABSTRACT
Published date:
01 Jun 2013
 
Electronic nose (E-nose) is a device detecting odors which is designed to resemble the ability of the human nose. E-nose can identifying chemical elements that contained in the odors. E-nose is made of arrays of gas sensor, each of it could detect certain chemical element. When detects gases, each sensor will generate a specific pattern for each gas. These patterns could be classified using neural network algorithm. Neural network is a computational method based on mathematical models which has the structure and operation of neural networks which imitate the human brain. Neural network consists of a group of neurons conected to each other with a connection named weight. The weights will determine wether neural networks could compute given inputs to produce a specified output. To generate the appropriate weight, the neural network needs to be trained using a number of gasoline and alcohol samples.The training process to generate appropriate weights is done by using back propagation algorithm on a personal computer. The appropriate weight then transferred to omni-directional robot equipped with e-nose. The result shows that the robot could identify the trained gas.
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