{"id":"https://openalex.org/W4205377166","doi":"https://doi.org/10.1109/ic-nidc54101.2021.9660596","title":"The In-Robot Network Structure of Humanoid Robot for Burst Traffic Data Situations","display_name":"The In-Robot Network Structure of Humanoid Robot for Burst Traffic Data Situations","publication_year":2021,"publication_date":"2021-11-17","ids":{"openalex":"https://openalex.org/W4205377166","doi":"https://doi.org/10.1109/ic-nidc54101.2021.9660596"},"language":"en","primary_location":{"id":"doi:10.1109/ic-nidc54101.2021.9660596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc54101.2021.9660596","pdf_url":null,"source":{"id":"https://openalex.org/S4363608589","display_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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/A5072826112","display_name":"Tianye Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tianye Tan","raw_affiliation_strings":["Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046416786","display_name":"Chengyu Cui","orcid":"https://orcid.org/0000-0002-3985-9168"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chengyu Cui","raw_affiliation_strings":["Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050894429","display_name":"Sungkwon Park","orcid":"https://orcid.org/0000-0001-6144-7488"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungkwon Park","raw_affiliation_strings":["Hanyang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072826112"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.0653,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36434332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"474","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9934999942779541,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9934999942779541,"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/T12216","display_name":"Network Time Synchronization Technologies","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11932","display_name":"Wireless Body Area Networks","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/humanoid-robot","display_name":"Humanoid robot","score":0.9129220247268677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6299822330474854},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.623969554901123},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44857749342918396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4441138505935669},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4288231134414673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36190348863601685}],"concepts":[{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.9129220247268677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299822330474854},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.623969554901123},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44857749342918396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4441138505935669},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4288231134414673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36190348863601685}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic-nidc54101.2021.9660596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc54101.2021.9660596","pdf_url":null,"source":{"id":"https://openalex.org/S4363608589","display_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1820821744","https://openalex.org/W1974077704","https://openalex.org/W2148620707","https://openalex.org/W2291125951","https://openalex.org/W2535850491","https://openalex.org/W2556468286","https://openalex.org/W2563107790","https://openalex.org/W2614308505","https://openalex.org/W2940852756","https://openalex.org/W2989934766","https://openalex.org/W3015196121","https://openalex.org/W3046396508","https://openalex.org/W3188457146"],"related_works":["https://openalex.org/W2979649235","https://openalex.org/W2540925674","https://openalex.org/W2392565008","https://openalex.org/W2146369460","https://openalex.org/W2126417091","https://openalex.org/W2511524105","https://openalex.org/W4236636304","https://openalex.org/W2122922035","https://openalex.org/W2774394625","https://openalex.org/W2061090284"],"abstract_inverted_index":{"According":[0,19],"to":[1,20,52,74,145,157,165,171],"the":[2,6,21,32,49,68,84,107,122,126,138,147,150,174,182],"basic":[3],"concept":[4],"of":[5,40,42,67,88,97,149],"In-Robot":[7],"Network(IRN),":[8],"an":[9,116,160],"IRN":[10,56,86,117,136],"structure":[11,87,118],"that":[12,31,65,119],"can":[13,28,59,120],"handle":[14,93,121],"burst":[15,98],"data":[16,99,123,151],"is":[17,129,143,179],"proposed.":[18],"existing":[22,63],"research":[23,64],"on":[24,106],"humanoid":[25,34,70,90],"robots,":[26],"it":[27,178],"be":[29,60],"seen":[30],"current":[33,69,85],"robots":[35,71],"have":[36],"a":[37,54,80,89,94,101],"high":[38],"degree":[39],"freedom":[41],"joints":[43],"and":[44,77,111],"carry":[45],"various":[46],"sensors":[47],"at":[48],"same":[50],"time":[51],"form":[53],"huge":[55],"network.":[57],"It":[58],"known":[61],"from":[62],"most":[66],"operate":[72],"according":[73,164],"preset":[75],"scenarios":[76],"plans.":[78],"If":[79],"special":[81,102],"situation":[82],"occurs,":[83],"robot":[91],"cannot":[92],"large":[95],"amount":[96],"in":[100,125,131,153],"situation.":[103],"Therefore,":[104],"based":[105],"in-vehicle":[108],"network":[109,113,184],"(IVN)":[110],"time-sensitive":[112],"(TSN)":[114],"concepts,":[115],"generated":[124],"above-mentioned":[127],"emergencies":[128],"proposed":[130],"this":[132,135],"article.":[133],"In":[134],"structure,":[137],"Domain":[139],"Control":[140],"Unit":[141],"(DCU)":[142],"used":[144],"detect":[146],"status":[148],"stream":[152],"each":[154],"different":[155,166,169],"area":[156],"distinguish":[158],"whether":[159],"emergency":[161],"occurs.":[162],"Also,":[163],"emergencies,":[167],"use":[168],"ways":[170],"deal":[172],"with":[173],"emergent":[175],"data.":[176],"Meanwhile,":[177],"verified":[180],"by":[181],"OMNet++":[183],"simulation":[185],"tool.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}