Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29730
DC FieldValueLanguage
dc.contributor.authorChristodoulou, Constantinos-
dc.contributor.authorHerodotou, Herodotos-
dc.contributor.authorMichaelides, Michalis P.-
dc.date.accessioned2023-07-07T10:21:15Z-
dc.date.available2023-07-07T10:21:15Z-
dc.date.issued2022-01-01-
dc.identifier.citationProceedings of 23rd IEEE International Conference on Mobile Data Management (MDM), 2022, 6-9 June, Paphos, Cyprus, pp. 407-412.en_US
dc.identifier.isbn9781665451765-
dc.identifier.issn15516245-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29730-
dc.description.abstractThe Automatic Identification System (AIS) provides information for tracking and monitoring vessel activity in real time. The vessel traffic data from AIS includes position coordinates in latitude and longitude, speed and course over ground, the vessel's unique identification number, and many more. In this work, we investigate the use of AIS data for estimating sea surface current velocities in the Eastern Mediterranean sea. Specifically, we apply the dead reckoning technique to compute the difference between the projected position and the true position of a vessel over time, which is mainly attributed on the force of sea surface currents. The estimated sea surface current velocities and directions are compared with the ones provided by the Copernicus Marine ocean product system. The analysis reveals that the dead reckoning technique can be used reliably for estimating sea currents at a very fine granularity, especially in high-traffic and coastal areas, where there is an increased complexity of obtaining accurate results from other sources.en_US
dc.language.isoenen_US
dc.rights© Copyright IEEEen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectAIS dataen_US
dc.subjectSea surfaceen_US
dc.subjectDead reckoningen_US
dc.subjectForceen_US
dc.subjectSea measurementsen_US
dc.subjectEstimationen_US
dc.subjectReal-time systemsen_US
dc.subjectComplexity theoryen_US
dc.titleEstimation of Sea Surface Current Velocities using AIS Dataen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryMechanical Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.relation.conference23rd IEEE International Conference on Mobile Data Management (MDM)en_US
dc.identifier.doi10.1109/MDM55031.2022.00090en_US
dc.identifier.scopus2-s2.0-85137550871-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85137550871-
cut.common.academicyear2022-2023en_US
dc.identifier.spage407en_US
dc.identifier.epage412en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-8717-1691-
crisitem.author.orcid0000-0002-0549-704X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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