TY  - BOOK
AU  - Mohamed Abdelkhalek Saad 
AU  - Magda B. Fayek , 
TI  - Electronic nose for volatile and nonvolatile odors identification / 
PY  - 2017///
CY  - Cairo : 
PB  - Mohamed Abdelkhalek Saad , 
KW  - Fruit juice odor classification
KW  - Portable compact electronic nose
KW  - Sensors array
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering- Department of Computer Engineering; Issued also as CD
N2  - The developed nose can be used in normal environment with no extra odor delivery  interface needed. The system comprises a sensor array of four MOS sensor, ATMEL  microcontroller and a developed feature extraction algorithm based on a newly  proposed feature extraction algorithm. Classification is performed using KNN, where K  is optimized for the best accuracy. The system is supported by an extendable interface  that allows the nose to learn more odors and use other classification techniques if  required. The proposed E-nose has been tested and proved its efficiency in detecting  non-volatile odors such as pure fruit juices (Orange, Apple, Pineapple and Grenade  juices) and rotten egg and volatile odors such as Butane gas and Grenade perfume with  accuracy of 98.6%using KNN(K=1).
UR  - http://172.23.153.220/th.pdf
ER  -