Robotic swarm concept for efficient oil spill confrontation
This paper examines the behaviour of a distributed system/robotic swarm concept for the effective confrontation of oil spills. The system described consists of a number of identical robotic units of high-power autonomy that recover oil mechanically and are able to communicate with each other. A math...
Gespeichert in:
| Veröffentlicht in: | Journal of hazardous materials 2008-06, Vol.154 (1), p.880-887 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 887 |
|---|---|
| container_issue | 1 |
| container_start_page | 880 |
| container_title | Journal of hazardous materials |
| container_volume | 154 |
| creator | Kakalis, Nikolaos M.P. Ventikos, Yiannis |
| description | This paper examines the behaviour of a distributed system/robotic swarm concept for the effective confrontation of oil spills. The system described consists of a number of identical robotic units of high-power autonomy that recover oil mechanically and are able to communicate with each other. A mathematical model that accounts for a multitude of oil weathering processes and for the concerted action of the autonomous units is implemented for this investigation. Computational assessment of the robotic swarm in weathering oil spills indicates the potential effectiveness of the method. |
| doi_str_mv | 10.1016/j.jhazmat.2007.10.112 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_33119668</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0304389407015907</els_id><sourcerecordid>33119668</sourcerecordid><originalsourceid>FETCH-LOGICAL-c562t-a4ec729c4da5269b28f58297f5d000b1ba263ab4543f49fc29d434e94c32123</originalsourceid><addsrcrecordid>eNqFkE1LxDAQhoMo7rr6E5Re9Naar7YJHkQWv2BBUO8hTRNMaZs1ySr66213ix49Dcw8M_PyAHCKYIYgKi6brHmT352MGYawzMY2wntgjlhJUkJIsQ_mkECaEsbpDByF0EAIUZnTQzBDDJYlZOUcXD27ykWrkvApfZco1yu9jolxPtHGWGV1HxNn2ySsbduOc-NdH2W0rj8GB0a2QZ9MdQFe7m5flw_p6un-cXmzSlVe4JhKqlWJuaK1zHHBK8xMzjAvTV4PiSpUSVwQWdGcEkO5UZjXlFDNqSIYYbIAF7ura-_eNzpE0dmgdNvKXrtNEIQgxIuC_QsOFMMQj2C-A5V3IXhtxNrbTvovgaAY5YpGTHLFKHfb3iY5mx5sqk7Xf1uTzQE4nwAZlGyNl72y4ZfDkGDKIBq46x2nB2sfVnsRRtFK19ZrFUXt7D9RfgB3K5mv</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>19682028</pqid></control><display><type>article</type><title>Robotic swarm concept for efficient oil spill confrontation</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Kakalis, Nikolaos M.P. ; Ventikos, Yiannis</creator><creatorcontrib>Kakalis, Nikolaos M.P. ; Ventikos, Yiannis</creatorcontrib><description>This paper examines the behaviour of a distributed system/robotic swarm concept for the effective confrontation of oil spills. The system described consists of a number of identical robotic units of high-power autonomy that recover oil mechanically and are able to communicate with each other. A mathematical model that accounts for a multitude of oil weathering processes and for the concerted action of the autonomous units is implemented for this investigation. Computational assessment of the robotic swarm in weathering oil spills indicates the potential effectiveness of the method.</description><identifier>ISSN: 0304-3894</identifier><identifier>EISSN: 1873-3336</identifier><identifier>DOI: 10.1016/j.jhazmat.2007.10.112</identifier><identifier>PMID: 18077087</identifier><identifier>CODEN: JHMAD9</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Accidents ; Applied sciences ; Artificial Intelligence ; Autonomy ; Confrontation ; Distributed system ; Efficiency ; Exact sciences and technology ; Models, Theoretical ; Oil spill ; Petroleum ; Pollution ; Robotic swarm ; Robotics ; Water Pollutants, Chemical ; Water Pollution - prevention & control</subject><ispartof>Journal of hazardous materials, 2008-06, Vol.154 (1), p.880-887</ispartof><rights>2007 Elsevier B.V.</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c562t-a4ec729c4da5269b28f58297f5d000b1ba263ab4543f49fc29d434e94c32123</citedby><cites>FETCH-LOGICAL-c562t-a4ec729c4da5269b28f58297f5d000b1ba263ab4543f49fc29d434e94c32123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jhazmat.2007.10.112$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20324801$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18077087$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kakalis, Nikolaos M.P.</creatorcontrib><creatorcontrib>Ventikos, Yiannis</creatorcontrib><title>Robotic swarm concept for efficient oil spill confrontation</title><title>Journal of hazardous materials</title><addtitle>J Hazard Mater</addtitle><description>This paper examines the behaviour of a distributed system/robotic swarm concept for the effective confrontation of oil spills. The system described consists of a number of identical robotic units of high-power autonomy that recover oil mechanically and are able to communicate with each other. A mathematical model that accounts for a multitude of oil weathering processes and for the concerted action of the autonomous units is implemented for this investigation. Computational assessment of the robotic swarm in weathering oil spills indicates the potential effectiveness of the method.</description><subject>Accidents</subject><subject>Applied sciences</subject><subject>Artificial Intelligence</subject><subject>Autonomy</subject><subject>Confrontation</subject><subject>Distributed system</subject><subject>Efficiency</subject><subject>Exact sciences and technology</subject><subject>Models, Theoretical</subject><subject>Oil spill</subject><subject>Petroleum</subject><subject>Pollution</subject><subject>Robotic swarm</subject><subject>Robotics</subject><subject>Water Pollutants, Chemical</subject><subject>Water Pollution - prevention & control</subject><issn>0304-3894</issn><issn>1873-3336</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1LxDAQhoMo7rr6E5Re9Naar7YJHkQWv2BBUO8hTRNMaZs1ySr66213ix49Dcw8M_PyAHCKYIYgKi6brHmT352MGYawzMY2wntgjlhJUkJIsQ_mkECaEsbpDByF0EAIUZnTQzBDDJYlZOUcXD27ykWrkvApfZco1yu9jolxPtHGWGV1HxNn2ySsbduOc-NdH2W0rj8GB0a2QZ9MdQFe7m5flw_p6un-cXmzSlVe4JhKqlWJuaK1zHHBK8xMzjAvTV4PiSpUSVwQWdGcEkO5UZjXlFDNqSIYYbIAF7ura-_eNzpE0dmgdNvKXrtNEIQgxIuC_QsOFMMQj2C-A5V3IXhtxNrbTvovgaAY5YpGTHLFKHfb3iY5mx5sqk7Xf1uTzQE4nwAZlGyNl72y4ZfDkGDKIBq46x2nB2sfVnsRRtFK19ZrFUXt7D9RfgB3K5mv</recordid><startdate>20080615</startdate><enddate>20080615</enddate><creator>Kakalis, Nikolaos M.P.</creator><creator>Ventikos, Yiannis</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TV</scope><scope>7U7</scope><scope>C1K</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20080615</creationdate><title>Robotic swarm concept for efficient oil spill confrontation</title><author>Kakalis, Nikolaos M.P. ; Ventikos, Yiannis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c562t-a4ec729c4da5269b28f58297f5d000b1ba263ab4543f49fc29d434e94c32123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Accidents</topic><topic>Applied sciences</topic><topic>Artificial Intelligence</topic><topic>Autonomy</topic><topic>Confrontation</topic><topic>Distributed system</topic><topic>Efficiency</topic><topic>Exact sciences and technology</topic><topic>Models, Theoretical</topic><topic>Oil spill</topic><topic>Petroleum</topic><topic>Pollution</topic><topic>Robotic swarm</topic><topic>Robotics</topic><topic>Water Pollutants, Chemical</topic><topic>Water Pollution - prevention & control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kakalis, Nikolaos M.P.</creatorcontrib><creatorcontrib>Ventikos, Yiannis</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of hazardous materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kakalis, Nikolaos M.P.</au><au>Ventikos, Yiannis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robotic swarm concept for efficient oil spill confrontation</atitle><jtitle>Journal of hazardous materials</jtitle><addtitle>J Hazard Mater</addtitle><date>2008-06-15</date><risdate>2008</risdate><volume>154</volume><issue>1</issue><spage>880</spage><epage>887</epage><pages>880-887</pages><issn>0304-3894</issn><eissn>1873-3336</eissn><coden>JHMAD9</coden><abstract>This paper examines the behaviour of a distributed system/robotic swarm concept for the effective confrontation of oil spills. The system described consists of a number of identical robotic units of high-power autonomy that recover oil mechanically and are able to communicate with each other. A mathematical model that accounts for a multitude of oil weathering processes and for the concerted action of the autonomous units is implemented for this investigation. Computational assessment of the robotic swarm in weathering oil spills indicates the potential effectiveness of the method.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>18077087</pmid><doi>10.1016/j.jhazmat.2007.10.112</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0304-3894 |
| ispartof | Journal of hazardous materials, 2008-06, Vol.154 (1), p.880-887 |
| issn | 0304-3894 1873-3336 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_33119668 |
| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| subjects | Accidents Applied sciences Artificial Intelligence Autonomy Confrontation Distributed system Efficiency Exact sciences and technology Models, Theoretical Oil spill Petroleum Pollution Robotic swarm Robotics Water Pollutants, Chemical Water Pollution - prevention & control |
| title | Robotic swarm concept for efficient oil spill confrontation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T02%3A13%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Robotic%20swarm%20concept%20for%20efficient%20oil%20spill%20confrontation&rft.jtitle=Journal%20of%20hazardous%20materials&rft.au=Kakalis,%20Nikolaos%20M.P.&rft.date=2008-06-15&rft.volume=154&rft.issue=1&rft.spage=880&rft.epage=887&rft.pages=880-887&rft.issn=0304-3894&rft.eissn=1873-3336&rft.coden=JHMAD9&rft_id=info:doi/10.1016/j.jhazmat.2007.10.112&rft_dat=%3Cproquest_cross%3E33119668%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=19682028&rft_id=info:pmid/18077087&rft_els_id=S0304389407015907&rfr_iscdi=true |