Mostrar el registro sencillo del ítem
Kuruma: The Vehicle Automatic Data Capture for Urban Computing Collaborative Systems
dc.contributor.author | Cueva-Fernandez, Guillermo | |
dc.contributor.author | Pascual Espada, Jordán | |
dc.contributor.author | García-Díaz, Vicente | |
dc.contributor.author | GonzalezRodriguez, Martin | |
dc.date | 2013-06 | |
dc.date.accessioned | 2020-01-14T09:56:46Z | |
dc.date.available | 2020-01-14T09:56:46Z | |
dc.identifier.issn | 1989-1660 | |
dc.identifier.uri | https://reunir.unir.net/handle/123456789/9700 | |
dc.description.abstract | Smartphones can provide coverage in large areas all around the world and with the availability of powerful operating systems they can become solid sensing infrastructures. In fact, static sensors are hard to deploy and maintain while modern mobile devices include many sensors that can be used to sense and benefit from collaborative communities. This project tries to improve urban computing by developing a framework able to create monitoring applications for mobile devices, focusing on obtaining the highest degree of interoperability between sensors. A prototype application has been developed to demonstrate the feasibility of creating multidisciplinary applications with several different approaches. The application developed consists of a Road Roughness Information System that measures smoothness and detects irregularities on the roads. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) | es_ES |
dc.relation.ispartofseries | ;vol. 02, nº 02 | |
dc.relation.uri | https://www.ijimai.org/journal/node/462 | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | OBD | es_ES |
dc.subject | internet of things | es_ES |
dc.subject | urban computing | es_ES |
dc.subject | vehicle | es_ES |
dc.subject | IJIMAI | es_ES |
dc.title | Kuruma: The Vehicle Automatic Data Capture for Urban Computing Collaborative Systems | es_ES |
dc.type | article | es_ES |
reunir.tag | ~IJIMAI | es_ES |
dc.identifier.doi | http://dx.doi.org/10.9781/ijimai.2013.223 |