Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
730004 | Measurement | 2016 | 7 Pages |
Abstract
Dust deposition and pollution are relevant issues in indoor environments, especially concerning human health and conservation of things and works. In this framework, several tools have been proposed in the last years in order to analyze dust deposition and extract useful information for addressing the phenomenon. In this paper, a novel approach for dust analysis and classification is proposed, employing machine learning and fuzzy logic to set up a simple and actual tool. The proposed approach is tested and compared with other already introduced similar techniques, in order to evaluate its performance.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Andrea Proietti, Luca Liparulo, Fabio Leccese, Massimo Panella,