{"id":"https://openalex.org/W2901242959","doi":"https://doi.org/10.1109/ictc.2018.8539536","title":"SLICE-based Trustworthiness Analysis system","display_name":"SLICE-based Trustworthiness Analysis system","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2901242959","doi":"https://doi.org/10.1109/ictc.2018.8539536","mag":"2901242959"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2018.8539536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5005511954","display_name":"KangWoon Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kang-Woon Hong","raw_affiliation_strings":["Electronics and Telecommunications Research Institute"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004991353","display_name":"Dong-Hwan Park","orcid":"https://orcid.org/0000-0003-1016-479X"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Hwan Park","raw_affiliation_strings":["Electronics and Telecommunications Research Institute"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005511954"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.2949,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63346544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"1389","last_page":"1390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756070613861084},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.629672110080719},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5735955834388733},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.5303058624267578},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.48239079117774963},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4499640166759491},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4490740895271301},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4456433355808258},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4438798427581787},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43426939845085144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37571296095848083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3411185145378113},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1372566521167755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756070613861084},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.629672110080719},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5735955834388733},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.5303058624267578},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.48239079117774963},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4499640166759491},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4490740895271301},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4456433355808258},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4438798427581787},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43426939845085144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37571296095848083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3411185145378113},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1372566521167755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2018.8539536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2141082857"],"related_works":["https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W1568097102","https://openalex.org/W4390419160","https://openalex.org/W1601203902","https://openalex.org/W2075798043","https://openalex.org/W2102464536","https://openalex.org/W4225671779","https://openalex.org/W2361332776","https://openalex.org/W1985727224"],"abstract_inverted_index":{"We":[0],"introduce":[1],"system":[2,36,59,102],"architecture":[3],"and":[4,49,75,112],"its":[5],"functional":[6],"blocks":[7],"for":[8,109,117],"the":[9,14,29,32,44,58,64,78,86,90,95,98,100,104,110,114],"trustworthiness":[10],"analysis":[11],"in":[12,21,28],"which":[13],"IoT":[15,67,79],"data":[16,48],"mining":[17],"algorithm":[18],"is":[19],"used":[20],"order":[22],"to":[23],"provide":[24],"trust":[25],"based":[26,62],"services":[27],"field":[30],"of":[31,97],"connected":[33],"car.":[34],"Our":[35],"trains":[37],"dangerous":[38,91],"driving":[39,92],"behavior(DDB)":[40],"detection":[41],"model":[42],"from":[43],"OBD(On":[45],"Board":[46],"Diagnosis)":[47],"predicts":[50,89],"whether":[51],"a":[52],"driver":[53],"drives":[54],"dangerously.":[55],"For":[56],"this,":[57],"was":[60],"developed":[61],"on":[63,77,94],"Self":[65],"Learnable":[66],"Common":[68],"SW":[69],"Engine(SLICE)":[70],"enabling":[71],"context":[72],"awareness,":[73],"inference":[74],"learning":[76],"node":[80],"by":[81],"itself.":[82],"More":[83],"specifically,":[84],"while":[85],"existing":[87],"approach":[88],"depending":[93],"velocity":[96,111],"car,":[99],"proposed":[101],"finds":[103],"relevant":[105],"OBD":[106],"parameters":[107],"except":[108],"makes":[113],"decision":[115],"tree":[116],"prediction.":[118]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
