Mohamed Abdelkhalek Saad  <br/><br/>
Electronic nose for volatile and nonvolatile odors identification /  
 الانف الاصطناعية للتعرف على الروائح المتطايرة والغير متطايرة  
Mohamed Abdelkhalek Saad ; Supervised Magda B. Fayek  
 - Cairo :   Mohamed Abdelkhalek Saad ,   2017 
 - 67 P. :   charts , facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering- Department of Computer Engineering 
<br/><br/> 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).  
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<br/><br/><label>Subjects--Index Terms: </label>Fruit juice odor classification  Portable compact electronic nose  Sensors array