Odour mapping under strong backgrounds with a metal oxide sensor array
| Autor: | Andrey Ziyatdinov, José María Blanco Calvo, Miguel Lechón, Sergi Bermúdez i Badia, Paul F. M. J. Verschure, Santiago Marco, Alexandre Perera, Perena Gouma |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Engineering
business.industry 010401 analytical chemistry Mobile robot 02 engineering and technology sensor array 021001 nanoscience & nanotechnology Nas electrònic 01 natural sciences Independent component analysis Electronic nose 0104 chemical sciences gas sensor odour localization Data acquisition Sensor array Robot Computer vision Artificial intelligence 0210 nano-technology business Wind tunnel Enginyeria biomèdica::Electrònica biomèdica [Àrees temàtiques de la UPC] |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
| DOI: | 10.1063/1.3626371 |
| Popis: | This work describes the data from navigation experiments with the mobile robot, equipped with the sensor array of three MOX gas sensors. Performed four series of measurements aim to explore the capabilities of sensor array to build the odour map with one or two odour sources in the wind tunnel space. It was demonstrated that the method based on Independent Component Analysis (ICA) is able to discriminate two odour sources, that in future can be used in the surge‐and‐cast robot navigation algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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