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dc.contributor.authorHuang, Haiguang
dc.contributor.authorHong, Feng
dc.contributor.authorWu, Zexin
dc.contributor.authorFeng, Yuan
dc.contributor.authorLiu, Chao
dc.contributor.authorWang, Hao
dc.contributor.authorGuo, Zhongwen
dc.date.accessioned2019-04-24T09:40:40Z
dc.date.available2019-04-24T09:40:40Z
dc.date.created2019-01-17T19:39:05Z
dc.date.issued2018
dc.identifier.citation2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)nb_NO
dc.identifier.isbn978-1-5386-1654-3
dc.identifier.urihttp://hdl.handle.net/11250/2595228
dc.description.abstractThe sailing information of fishing vessels are recorded through Vessel Monitoring Systems (VMS), which provides the basis to discover the spatial-temporal pattern of fishing activities. Previous research calculates the fishing density distribution from VMS traces, however, the relationships between fishing vessels are neglected. These kinds of relations, such as fishing vessel groups, may have some impact on fishing density distributions. This paper reveals the potential to construct fishing vessel relations through VMS trace analysis. It takes the VMS traces of all fishing related vessels in the East China Sea in 2016 as the object. The proposed system exploits the parallel Map-Reduce computation model to evaluate the spatial closeness among vessels in order to construct the vessel relation model over different time periods. After constructing the relation model, some key conclusions are revealed from the relation model. It shows that 72% vessels share the cooperation relations over one week, confirming the intuition that most fishing vessels are sailing together for fishing. Moreover, 42% vessels are in the long-term cooperations (over four weeks), representing the core members in each individual group.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.relation.ispartof2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)
dc.titleFVRD: Fishing Vessel Relations Discovery Through VMS Trace Analysisnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.cristin1659769
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksnb_NO
cristin.unitcode194,63,55,0
cristin.unitnameInstitutt for IKT og realfag
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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