An innovative on-board processor for the real-time GPR monitoring of railway substructure conditions
The SAFE-RAIL system and the relevant processing unit are hereafter described as a success case for the solution of an electromagnetic inverse problem in real-time applications. The SAFE-RAIL system on-board processing unit is conceived for providing functionalities for real-time exploitation of raw...
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creator | Caorsi, S. Cevini, G. Burro, F. Sciotti, M. Sorge, S. |
description | The SAFE-RAIL system and the relevant processing unit are hereafter described as a success case for the solution of an electromagnetic inverse problem in real-time applications. The SAFE-RAIL system on-board processing unit is conceived for providing functionalities for real-time exploitation of raw data deriving from microwave sensing action through innovative GPR equipment. In particular, the main objective, as per European STREP project SAFE-RAIL statements, is focused on automatic interpretation of microwave sensed data relevant to rail-track subsurface, aiming at characterizing the ballast and sub-ballast layer properties with consequent extraction in real-time of geophysical parameters. A neural network based approach has been exploited as an efficient way for solving the inverse problem through a "learning-by-examples" approach. The capability of the SAFE-RAIL system in matching real-time performance requirements has been investigated. System operability and cost-effective implementation issues have also been deeply addressed. |
doi_str_mv | 10.1109/AGPR.2007.386568 |
format | Conference Proceeding |
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The SAFE-RAIL system on-board processing unit is conceived for providing functionalities for real-time exploitation of raw data deriving from microwave sensing action through innovative GPR equipment. In particular, the main objective, as per European STREP project SAFE-RAIL statements, is focused on automatic interpretation of microwave sensed data relevant to rail-track subsurface, aiming at characterizing the ballast and sub-ballast layer properties with consequent extraction in real-time of geophysical parameters. A neural network based approach has been exploited as an efficient way for solving the inverse problem through a "learning-by-examples" approach. The capability of the SAFE-RAIL system in matching real-time performance requirements has been investigated. System operability and cost-effective implementation issues have also been deeply addressed.</description><identifier>EISBN: 9781424408863</identifier><identifier>EISBN: 1424408865</identifier><identifier>DOI: 10.1109/AGPR.2007.386568</identifier><language>eng</language><publisher>IEEE</publisher><subject>Buried object detection ; Condition monitoring ; Electronic ballasts ; Ground penetrating radar ; Inverse problems ; Neural networks ; Radar tracking ; rail track diagnostic ; Rail transportation ; Real time systems ; Sustainable development</subject><ispartof>2007 4th International Workshop on, Advanced Ground Penetrating Radar, 2007, p.284-289</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4278891$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4278891$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Caorsi, S.</creatorcontrib><creatorcontrib>Cevini, G.</creatorcontrib><creatorcontrib>Burro, F.</creatorcontrib><creatorcontrib>Sciotti, M.</creatorcontrib><creatorcontrib>Sorge, S.</creatorcontrib><title>An innovative on-board processor for the real-time GPR monitoring of railway substructure conditions</title><title>2007 4th International Workshop on, Advanced Ground Penetrating Radar</title><addtitle>AGPR</addtitle><description>The SAFE-RAIL system and the relevant processing unit are hereafter described as a success case for the solution of an electromagnetic inverse problem in real-time applications. 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System operability and cost-effective implementation issues have also been deeply addressed.</description><subject>Buried object detection</subject><subject>Condition monitoring</subject><subject>Electronic ballasts</subject><subject>Ground penetrating radar</subject><subject>Inverse problems</subject><subject>Neural networks</subject><subject>Radar tracking</subject><subject>rail track diagnostic</subject><subject>Rail transportation</subject><subject>Real time systems</subject><subject>Sustainable development</subject><isbn>9781424408863</isbn><isbn>1424408865</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjUtLxDAYReNCUMbuBTf5A61f2jSPZRl0FAYUmf2Q5qGRNhmSdGT-vQW9cDlwF-cidE-gIQTk47B7_2haAN50gvVMXKFKckFoSykIwbobVOX8DWtoT4nkt8gMAfsQ4lkVf7Y4hnqMKhl8SlHbnGPCbm35sjhZNdXFzxavJ3iOwZeYfPjE0eGk_PSjLjgvYy5p0WVJFusYjC8-hnyHrp2asq3-uUGH56fD9qXev-1et8O-9hJK7SinI5d933dcEyoMM0xq0OukQUhGOgsOtNE90BYECCsddUYDZYQRoroNevjTemvt8ZT8rNLlSFsuhCTdLxwKVP4</recordid><startdate>200706</startdate><enddate>200706</enddate><creator>Caorsi, S.</creator><creator>Cevini, G.</creator><creator>Burro, F.</creator><creator>Sciotti, M.</creator><creator>Sorge, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200706</creationdate><title>An innovative on-board processor for the real-time GPR monitoring of railway substructure conditions</title><author>Caorsi, S. ; Cevini, G. ; Burro, F. ; Sciotti, M. ; Sorge, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f474b7955537c148d6d69c0c795c089613e0f0cdc50420808e9f4fdc0461611a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Buried object detection</topic><topic>Condition monitoring</topic><topic>Electronic ballasts</topic><topic>Ground penetrating radar</topic><topic>Inverse problems</topic><topic>Neural networks</topic><topic>Radar tracking</topic><topic>rail track diagnostic</topic><topic>Rail transportation</topic><topic>Real time systems</topic><topic>Sustainable development</topic><toplevel>online_resources</toplevel><creatorcontrib>Caorsi, S.</creatorcontrib><creatorcontrib>Cevini, G.</creatorcontrib><creatorcontrib>Burro, F.</creatorcontrib><creatorcontrib>Sciotti, M.</creatorcontrib><creatorcontrib>Sorge, S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Caorsi, S.</au><au>Cevini, G.</au><au>Burro, F.</au><au>Sciotti, M.</au><au>Sorge, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An innovative on-board processor for the real-time GPR monitoring of railway substructure conditions</atitle><btitle>2007 4th International Workshop on, Advanced Ground Penetrating Radar</btitle><stitle>AGPR</stitle><date>2007-06</date><risdate>2007</risdate><spage>284</spage><epage>289</epage><pages>284-289</pages><eisbn>9781424408863</eisbn><eisbn>1424408865</eisbn><abstract>The SAFE-RAIL system and the relevant processing unit are hereafter described as a success case for the solution of an electromagnetic inverse problem in real-time applications. The SAFE-RAIL system on-board processing unit is conceived for providing functionalities for real-time exploitation of raw data deriving from microwave sensing action through innovative GPR equipment. In particular, the main objective, as per European STREP project SAFE-RAIL statements, is focused on automatic interpretation of microwave sensed data relevant to rail-track subsurface, aiming at characterizing the ballast and sub-ballast layer properties with consequent extraction in real-time of geophysical parameters. A neural network based approach has been exploited as an efficient way for solving the inverse problem through a "learning-by-examples" approach. The capability of the SAFE-RAIL system in matching real-time performance requirements has been investigated. System operability and cost-effective implementation issues have also been deeply addressed.</abstract><pub>IEEE</pub><doi>10.1109/AGPR.2007.386568</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Buried object detection Condition monitoring Electronic ballasts Ground penetrating radar Inverse problems Neural networks Radar tracking rail track diagnostic Rail transportation Real time systems Sustainable development |
title | An innovative on-board processor for the real-time GPR monitoring of railway substructure conditions |
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