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The MarineGrid project in Ireland
The Geological Survey of Ireland (G.S.I) at present has over 4 terabytes of multi-beam sonar data gathered over the last five years from the seabed within the Irish designated zone as part of the Irish National Seabed Survey (INSS) and this data-set is expected to exceed 10 terabytes upon completion...
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creator | Kenirons, M.P. Ryan, J. Cunniffe, J. Curran, O. Bourke, S. Shearer, A. |
description | The Geological Survey of Ireland (G.S.I) at present has over 4 terabytes of multi-beam sonar data gathered over the last five years from the seabed within the Irish designated zone as part of the Irish National Seabed Survey (INSS) and this data-set is expected to exceed 10 terabytes upon completion. Geological interpretation is carried out by visual inspection of bathymetric patterns. Due to the size of this data set and the emergence of similar data sets, the extraction of knowledge from such a data sets by human observers has become infeasible. The focus has turned to using artificial intelligence and computational methods for assistance. The commercial and environmental sensitivity of the data means that secure data processing and transmission are of paramount importance. This has lead to the creation of the MarineGrid project within the Grid Ireland organization. New method's have been developed for statistical analysis of bathymetric information specifically for automated geological interpretation of rock types on the sea floor and feature extraction from the sea floor. In this poster we present a brief synopsis of both a classification algorithm and a feature extraction algorithm and the results obtained from within the NUI Galway MarineGrid project. |
doi_str_mv | 10.1109/HPDC.2005.1520978 |
format | conference_proceeding |
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Geological interpretation is carried out by visual inspection of bathymetric patterns. Due to the size of this data set and the emergence of similar data sets, the extraction of knowledge from such a data sets by human observers has become infeasible. The focus has turned to using artificial intelligence and computational methods for assistance. The commercial and environmental sensitivity of the data means that secure data processing and transmission are of paramount importance. This has lead to the creation of the MarineGrid project within the Grid Ireland organization. New method's have been developed for statistical analysis of bathymetric information specifically for automated geological interpretation of rock types on the sea floor and feature extraction from the sea floor. 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In this poster we present a brief synopsis of both a classification algorithm and a feature extraction algorithm and the results obtained from within the NUI Galway MarineGrid project.</description><subject>Artificial intelligence</subject><subject>Data mining</subject><subject>Data processing</subject><subject>Feature extraction</subject><subject>Geology</subject><subject>Humans</subject><subject>Inspection</subject><subject>Sea floor</subject><subject>Sonar</subject><subject>Statistical analysis</subject><issn>1082-8907</issn><isbn>9780780390379</isbn><isbn>0780390377</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj81qAjEURgO2UKs-QOlm-gAzvbnJ5GdZpq0Kii7sWvJzgxE7lYybvn2FCh_n7A58jD1xaDgH-7rYvncNArQNbxGsNiM2uxKuExaEtndszMFgbSzoB_Y4DEcABI56zF52B6rWruSe5iXH6lx-jhQuVe6rZaGT6-OU3Sd3Gmh284R9fX7sukW92syX3duqzly3lxqjFyJIr2QwZBJhiuCsQoJopU-BvHEBDaGMhhSYkDw5rqQmLimpICbs-b-biWh_Lvnbld_97ZH4Aw2bPuc</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Kenirons, M.P.</creator><creator>Ryan, J.</creator><creator>Cunniffe, J.</creator><creator>Curran, O.</creator><creator>Bourke, S.</creator><creator>Shearer, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>The MarineGrid project in Ireland</title><author>Kenirons, M.P. ; Ryan, J. ; Cunniffe, J. ; Curran, O. ; Bourke, S. ; Shearer, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-2db33c4b64c8e8fe2fd0a962e0d94bfceb8ac28e24d8e608cfbea1647e14ef6c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Artificial intelligence</topic><topic>Data mining</topic><topic>Data processing</topic><topic>Feature extraction</topic><topic>Geology</topic><topic>Humans</topic><topic>Inspection</topic><topic>Sea floor</topic><topic>Sonar</topic><topic>Statistical analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Kenirons, M.P.</creatorcontrib><creatorcontrib>Ryan, J.</creatorcontrib><creatorcontrib>Cunniffe, J.</creatorcontrib><creatorcontrib>Curran, O.</creatorcontrib><creatorcontrib>Bourke, S.</creatorcontrib><creatorcontrib>Shearer, A.</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 Xplore</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>Kenirons, M.P.</au><au>Ryan, J.</au><au>Cunniffe, J.</au><au>Curran, O.</au><au>Bourke, S.</au><au>Shearer, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The MarineGrid project in Ireland</atitle><btitle>HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005</btitle><stitle>HPDC</stitle><date>2005</date><risdate>2005</risdate><spage>287</spage><epage>288</epage><pages>287-288</pages><issn>1082-8907</issn><isbn>9780780390379</isbn><isbn>0780390377</isbn><abstract>The Geological Survey of Ireland (G.S.I) at present has over 4 terabytes of multi-beam sonar data gathered over the last five years from the seabed within the Irish designated zone as part of the Irish National Seabed Survey (INSS) and this data-set is expected to exceed 10 terabytes upon completion. Geological interpretation is carried out by visual inspection of bathymetric patterns. Due to the size of this data set and the emergence of similar data sets, the extraction of knowledge from such a data sets by human observers has become infeasible. The focus has turned to using artificial intelligence and computational methods for assistance. The commercial and environmental sensitivity of the data means that secure data processing and transmission are of paramount importance. This has lead to the creation of the MarineGrid project within the Grid Ireland organization. New method's have been developed for statistical analysis of bathymetric information specifically for automated geological interpretation of rock types on the sea floor and feature extraction from the sea floor. In this poster we present a brief synopsis of both a classification algorithm and a feature extraction algorithm and the results obtained from within the NUI Galway MarineGrid project.</abstract><pub>IEEE</pub><doi>10.1109/HPDC.2005.1520978</doi><tpages>2</tpages></addata></record> |
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ispartof | HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005, 2005, p.287-288 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Artificial intelligence Data mining Data processing Feature extraction Geology Humans Inspection Sea floor Sonar Statistical analysis |
title | The MarineGrid project in Ireland |
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