http://www.cnr.it/ontology/cnr/individuo/prodotto/ID327843
Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways (Contributo in atti di convegno)
- Type
- Label
- Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways (Contributo in atti di convegno) (literal)
- Anno
- 2015-01-01T00:00:00+01:00 (literal)
- Alternative label
Fantini A., Magrini M., Martino S., Moroni D., Pieri G., Prestininzi A., Salvetti O. (2015)
Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways
in IMTA 2015 - 5th International Workshop on Image Mining. Theory and Applications, Berlin, Germany, 11-14 March 2015
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Fantini A., Magrini M., Martino S., Moroni D., Pieri G., Prestininzi A., Salvetti O. (literal)
- Pagina inizio
- Pagina fine
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Department of Earth Sciences and Research Centre for Geological Risks (CERI), University of Rome \"Sapienza\"; CNR-ISTI, Pisa, Italy; Department of Earth Sciences and Research Centre for Geological Risks (CERI), University of Rome \"Sapienza\"; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; Department of Earth Sciences and Research Centre for Geological Risks (CERI), University of Rome \"Sapienza\"; CNR-ISTI, Pisa, Italy (literal)
- Titolo
- Experimenting an embedded-sensor network for early warning of natural risks due to fast failures along railways (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-989-758-094-9 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Igor Gurevich, Heinrich Niemann, Ovidio Salvetti and Bernd Radig (literal)
- Abstract
- This paper deals with a project for real-time monitoring of railway tracks to detect events, such as fast failures from natural risks, which may threaten the transit of trains. The paper describes a network of smart sensors for early warning of these endangering events. Three main types of fast-failure events involving railways were identified: sinkhole, rock and debris falls. A case study on a known test site and experimentation with various scenarios were carried out with a view to developing algorithms capable of spotting and localising them. Results demonstrate the good performance of the network in monitoring the investigated events. (literal)
- Editore
- Prodotto di
- Autore CNR
- Insieme di parole chiave
Incoming links:
- Autore CNR di
- Prodotto
- Editore di
- Insieme di parole chiave di