| Título |
Environmental Noise Sensing Approach based on Volunteered Geographic Information and Spatio-Temporal Analysis with Machine Learning
|
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
16th International Conference on Computational Science and Its Applications, ICCSA 2016
|
| Resumen |
In this paper a methodology for analyzing the behavior of the environmental noise pollution is proposed. It consists of a mobile application called ‘NoiseMonitor’, which senses the environmental noise with the microphone sensor available in the mobile device. The georeferenced noise data constitute Volunteered Geographic Information that compose a large geospatial database of urban information of the Mexico City. In addition, a Web-GIS is proposed in order to make spatio-temporal analysis based on a prediction model, applying Machine Learning techniques to generate acoustic noise mapping with contextual information.According to the obtained results, a comparison between support vector machines and artificial neural networks were performed in order to evaluate the model and the behavior of the sensed data. |
| Observaciones |
DOI 10.1007/978-3-319-42089-9_7
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9789 |
| Lugar |
Beijing |
| País |
China |
| No. de páginas |
95-110 |
| Vol. / Cap. |
v. 9789, pt IV LNCS |
| Inicio |
2016-07-04 |
| Fin |
2016-07-07 |
| ISBN/ISSN |
9783319420929 |
