A high-performance Web Graphics Library-based Automatic Identification System data visualization platform Public

http://ir.library.oregonstate.edu/concern/graduate_projects/3t945w85s

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  • The magnitude of global AIS data exceeds the capability of conventional in-browser graphic rendering technologies like Scalable Vector Graphics (SVG) and Canvas. Normal practices of rendering AIS data in browser will either suffer from low frame rates or will have to limit the total number of visual elements. In this project, by generating Web Graphics Library (WebGL) sprites to reduce draw calls, my visualization program is capable of rendering more than 66,000 marine vessels on the screen with high frame rates and time-accurate animations. Furthermore, this program supports on-the-fly map re-projection for both the globe object and rendered AIS vessel data to get the best use of seven different map projections.
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  • description.provenance : Submitted by Likun Chen (chenli@oregonstate.edu) on 2017-11-08T21:50:03ZNo. of bitstreams: 2license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5)ChenLikun2017.pdf: 2233888 bytes, checksum: f1304395493421580c29e7d79cc421c8 (MD5)
  • description.provenance : Approved for entry into archive by Steven Van Tuyl(steve.vantuyl@oregonstate.edu) on 2017-11-14T17:22:17Z (GMT) No. of bitstreams: 2license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5)ChenLikun2017.pdf: 2233888 bytes, checksum: f1304395493421580c29e7d79cc421c8 (MD5)
  • description.provenance : Made available in DSpace on 2017-11-14T17:22:17Z (GMT). No. of bitstreams: 2license_rdf: 1536 bytes, checksum: df76b173e7954a20718100d078b240a8 (MD5)ChenLikun2017.pdf: 2233888 bytes, checksum: f1304395493421580c29e7d79cc421c8 (MD5)

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