  Detection of diverse mould species growing on building materials by gas sensor arrays and pattern recognition; ; Romain, Anne-Claude  et alin Sensors and actuators. B, Chemical (2006), 119(1), 33-40 This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array. Four moulds species have been considered. Pattern classification provides detection ... [more ▼] This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array. Four moulds species have been considered. Pattern classification provides detection rates on the order of 80-85% for different species. Drift degrades only slightly these values subsequent test 4 months later. [less ▲] Detailed reference viewed: 32 (11 ULg)Fuzzy k-NN applied to moulds detection; ; Romain, Anne-Claude et alin Sensors and actuators. B, Chemical (2005), 106(1), 52-60 The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be ... [more ▼] The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be obtained combining an extended linear discriminant analysis plus a fuzzy k-NN classifier. The classification ability of the classifier is assessed within the dataset by crossvalidation and also in a second dataset collected 5 months later. There is a slight decrease in the classification performance for all the algorithms, being the most sensitive the most accurate one. [less ▲] Detailed reference viewed: 60 (40 ULg)Detection of moulds growing on building materials by gas sensor arrays and pattern recognition; ; Romain, Anne-Claude et alin Technical digest of eurosensors : proceedings (2004) This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array Four mould species have been considered. Pattern Classification provides ... [more ▼] This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array Four mould species have been considered. Pattern Classification provides classification rates on the order of 80-90% for different species. Drift degrades slightyl these values subsequent test four months later. [less ▲] Detailed reference viewed: 29 (3 ULg)Fuzzy K-NN applied to moulds detection; ; Nicolas, Jacques et alin Proceedings of ISOEN'03 (2003, June) The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be ... [more ▼] The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be obtained combining an extended linear discriminant analysis plus a fuzzy k-NN classifier. The classification ability of the classifier is assessed within the dataset by crossvalidation and also in a second dataset collected 5 months later. There is a slight decrease in the classification performance for all the algorithms, being the most sensitive the most accurate one. [less ▲] Detailed reference viewed: 17 (1 ULg)IpNose : Electronic nose for remote bad odour monitoring system in landfill sites.; ; et al in Proceedings of the 8th conference Eurodeur (2001) Electronic noses are intelligent instruments that are able to classify and quantify different gas/odours. Here we suggest the integration of a small form factor computer inside the electronic nose. This ... [more ▼] Electronic noses are intelligent instruments that are able to classify and quantify different gas/odours. Here we suggest the integration of a small form factor computer inside the electronic nose. This concept allows us to easily provide remote connectivity, large data storage and complex signal processing. The evolution of this technology will permit distributed sensing with applications to agriculture and environment. Proposed instrument allows incoming connections for remote control of bad odours in landfill sites. Preliminary approach to this application using commercial sensors and mixture model pattern recognition scheme is exposed. [less ▲] Detailed reference viewed: 37 (0 ULg) |
||
