Application an Odour Recognition Using Nearest Neighbour Algorithm

Anies Hannawati • Resmana Lim
Journal article Jurnal Teknik Elektro Universitas Kristen Petra • September 2001 Indonesia

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(Bahasa Indonesia, 5 pages)


This project was undertaken with the aim of developing control techniques and data processing methods to allow a relatively simple electronic nose developed for robotics applications to classify a wide range of odours. The electronic nose used tin oxide gas sensors as the main sensing elements. By modulating the sensor temperature inside the sensors%2C additional information was gathered which helps to identify unknown odours. A simple K-nearest neighbor algorithm was implemented as the basis of a pattern recognition system for recognizing odours presented to the system. Further%2C we considered ways of compressing the stored data and techniques for finding the best match among the trained data using Principal Component Analysis.




Jurnal Teknik Elektro Universitas Kristen Petra

Jurnal Teknik Elektro Universitas Kristen Petra is published biannually, in May and September, by... see more