{"id":"https://openalex.org/W3006405487","doi":"https://doi.org/10.1109/vast47406.2019.8986938","title":"MC2 - SUA: A Sensor Uncertainty Analysis Tool of Radiation Measurement Data (VAST Challenge 2019 Award - Integrated Tool with Rich Data Encodings)","display_name":"MC2 - SUA: A Sensor Uncertainty Analysis Tool of Radiation Measurement Data (VAST Challenge 2019 Award - Integrated Tool with Rich Data Encodings)","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3006405487","doi":"https://doi.org/10.1109/vast47406.2019.8986938","mag":"3006405487"},"language":"en","primary_location":{"id":"doi:10.1109/vast47406.2019.8986938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast47406.2019.8986938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101711409","display_name":"Shaobin Xu","orcid":"https://orcid.org/0000-0001-5399-4019"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaobin Xu","raw_affiliation_strings":["Northeast Normal University"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112546828","display_name":"Yiming Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Lin","raw_affiliation_strings":["Northeast Normal University"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064912499","display_name":"Dezhan Qu","orcid":"https://orcid.org/0000-0001-9776-4960"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhan Qu","raw_affiliation_strings":["Northeast Normal University"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074185589","display_name":"Ke Ren","orcid":"https://orcid.org/0000-0002-8462-0113"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Ren","raw_affiliation_strings":["Northeast Normal University"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100631042","display_name":"Huijie Zhang","orcid":"https://orcid.org/0000-0001-8006-4845"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijie Zhang","raw_affiliation_strings":["Northeast Normal University"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101711409"],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18098977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2019","issue":null,"first_page":"116","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/glyph","display_name":"Glyph (data visualization)","score":0.8351815938949585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6843705177307129},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.57227623462677},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5519084334373474},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.48581600189208984},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4857047498226166},{"id":"https://openalex.org/keywords/data-exploration","display_name":"Data exploration","score":0.4549916684627533},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4011259377002716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.368252158164978}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.8351815938949585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843705177307129},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.57227623462677},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5519084334373474},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.48581600189208984},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4857047498226166},{"id":"https://openalex.org/C2780977526","wikidata":"https://www.wikidata.org/wiki/Q42417149","display_name":"Data exploration","level":3,"score":0.4549916684627533},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4011259377002716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.368252158164978},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vast47406.2019.8986938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast47406.2019.8986938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},{"id":"mag:3040922520","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002221411135066","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2350092425","https://openalex.org/W2026649925","https://openalex.org/W91638230","https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1893118838","https://openalex.org/W1965329638","https://openalex.org/W2189613078"],"abstract_inverted_index":{"The":[0,48,80],"effective":[1],"analysis":[2,39],"of":[3,30,54,70],"data":[4,82],"collected":[5],"by":[6,59],"mobile":[7],"sensors":[8,11],"and":[9,24,73,84],"static":[10],"deployed":[12],"in":[13,56],"cities":[14],"is":[15,46],"a":[16,42,51],"great":[17],"challenge,":[18],"due":[19],"to":[20],"the":[21,28,57,61,63,68,71,89],"spatiotemporal":[22],"characteristics":[23],"uncertainty.":[25],"To":[26],"meet":[27],"challenge":[29],"VAST":[31],"2019":[32],"Mini-Challenge":[33],"2,":[34],"SUA,":[35],"an":[36,75],"interactive":[37],"visual":[38,77],"tool":[40,49],"with":[41],"novel":[43],"uncertainty":[44,69],"glyph":[45],"designed.":[47],"provides":[50],"clear":[52],"understanding":[53],"conditions":[55],"city":[58],"visualizing":[60],"trajectories,":[62],"measurements,":[64],"as":[65,67],"well":[66],"sensors,":[72],"supports":[74],"overview-to-detail":[76],"reasoning":[78],"process.":[79],"rich":[81],"encodings":[83],"interactions":[85],"help":[86],"users":[87],"solve":[88],"questions":[90],"effectively.":[91]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
