{"id":"https://openalex.org/W4389988626","doi":"https://doi.org/10.1109/icnp59255.2023.10355596","title":"Demo: BuildTwin: Towards Real-Time High-Fidelity Digital Twin for Smart Building Management","display_name":"Demo: BuildTwin: Towards Real-Time High-Fidelity Digital Twin for Smart Building Management","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4389988626","doi":"https://doi.org/10.1109/icnp59255.2023.10355596"},"language":"en","primary_location":{"id":"doi:10.1109/icnp59255.2023.10355596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp59255.2023.10355596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 31st International Conference on Network Protocols (ICNP)","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/A5114110869","display_name":"Zhizhao Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143477","display_name":"Toshiba (United Kingdom)","ror":"https://ror.org/054hmd463","country_code":"GB","type":"company","lineage":["https://openalex.org/I1292669757","https://openalex.org/I4210143477"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhizhao Liang","raw_affiliation_strings":["Toshiba Europe Ltd.,Bristol Research &#x0026; Innovation Laboratory,UK"],"affiliations":[{"raw_affiliation_string":"Toshiba Europe Ltd.,Bristol Research &#x0026; Innovation Laboratory,UK","institution_ids":["https://openalex.org/I4210143477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081036534","display_name":"Yichao Jin","orcid":"https://orcid.org/0000-0002-7299-6746"},"institutions":[{"id":"https://openalex.org/I4210143477","display_name":"Toshiba (United Kingdom)","ror":"https://ror.org/054hmd463","country_code":"GB","type":"company","lineage":["https://openalex.org/I1292669757","https://openalex.org/I4210143477"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yichao Jin","raw_affiliation_strings":["Toshiba Europe Ltd.,Bristol Research &#x0026; Innovation Laboratory,UK"],"affiliations":[{"raw_affiliation_string":"Toshiba Europe Ltd.,Bristol Research &#x0026; Innovation Laboratory,UK","institution_ids":["https://openalex.org/I4210143477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025012075","display_name":"Jagdeep Singh","orcid":"https://orcid.org/0000-0003-0576-2023"},"institutions":[{"id":"https://openalex.org/I4210143477","display_name":"Toshiba (United Kingdom)","ror":"https://ror.org/054hmd463","country_code":"GB","type":"company","lineage":["https://openalex.org/I1292669757","https://openalex.org/I4210143477"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jagdeep Singh","raw_affiliation_strings":["Toshiba Europe Ltd.,Bristol Research &#x0026; Innovation Laboratory,UK"],"affiliations":[{"raw_affiliation_string":"Toshiba Europe Ltd.,Bristol Research &#x0026; Innovation Laboratory,UK","institution_ids":["https://openalex.org/I4210143477"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009611028","display_name":"Aftab Khan","orcid":"https://orcid.org/0000-0002-3573-6240"},"institutions":[{"id":"https://openalex.org/I4210143477","display_name":"Toshiba (United Kingdom)","ror":"https://ror.org/054hmd463","country_code":"GB","type":"company","lineage":["https://openalex.org/I1292669757","https://openalex.org/I4210143477"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aftab Khan","raw_affiliation_strings":["Toshiba Europe Ltd.,Bristol Research &#x0026; Innovation Laboratory,UK"],"affiliations":[{"raw_affiliation_string":"Toshiba Europe Ltd.,Bristol Research &#x0026; Innovation Laboratory,UK","institution_ids":["https://openalex.org/I4210143477"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114110869"],"corresponding_institution_ids":["https://openalex.org/I4210143477"],"apc_list":null,"apc_paid":null,"fwci":1.9224,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88448917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.8015037775039673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6511397957801819},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.616565465927124},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.543002188205719},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5200909376144409},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5171629786491394},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4695095717906952},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.45386528968811035},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.4181731343269348},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41067641973495483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.277607798576355},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16266092658042908},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14800038933753967},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1148589551448822},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10779941082000732},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08125534653663635}],"concepts":[{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.8015037775039673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6511397957801819},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.616565465927124},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.543002188205719},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5200909376144409},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5171629786491394},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4695095717906952},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.45386528968811035},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.4181731343269348},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41067641973495483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.277607798576355},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16266092658042908},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14800038933753967},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1148589551448822},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10779941082000732},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08125534653663635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnp59255.2023.10355596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp59255.2023.10355596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 31st International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2100522523","https://openalex.org/W3160784781","https://openalex.org/W3173264697","https://openalex.org/W4213201928","https://openalex.org/W4304784019"],"related_works":["https://openalex.org/W2378061014","https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W4224231624","https://openalex.org/W2319626700","https://openalex.org/W3099598016"],"abstract_inverted_index":{"Although":[0],"desirable,":[1],"achieving":[2],"a":[3,11,18,49,58,65,115,124],"high-fidelity":[4,60],"digital":[5,42,62,118],"twin":[6,63],"of":[7,14,21,40,64,76,106,129],"buildings":[8],"often":[9],"requires":[10],"substantial":[12],"influx":[13],"real-time":[15,77],"data,":[16],"demanding":[17],"dense":[19],"network":[20],"environmental":[22],"sensors.":[23,155],"Regrettably,":[24],"factors":[25],"such":[26,41,141],"as":[27,142],"high":[28],"hardware":[29],"expenses,":[30],"deployment":[31],"constraints,":[32],"and":[33,85,134],"sensor":[34,78,95],"malfunctions":[35],"can":[36],"impede":[37],"the":[38,100,104,151],"realization":[39],"twins.":[43],"In":[44],"this":[45],"demonstration,":[46],"we":[47,110],"introduce":[48],"pioneering":[50],"approach":[51],"that":[52],"harnesses":[53],"data-driven":[54],"virtual":[55,108],"sensing":[56,101],"within":[57],"real-time,":[59],"3D":[61],"building":[66],"environment.":[67],"Our":[68,120],"innovative":[69],"method":[70],"provides":[71],"accurate":[72,117],"machine":[73],"learning-based":[74],"inference":[75],"variables":[79],"across":[80],"both":[81],"two-dimensional":[82],"(varying":[83],"rooms)":[84],"three-dimensional":[86],"(diverse":[87],"elevations)":[88],"domains,":[89],"with":[90],"limited":[91],"reliance":[92],"on":[93],"physical":[94,154],"inputs.":[96],"Thus,":[97],"by":[98],"extending":[99],"coverage":[102],"through":[103],"use":[105],"ML-driven":[107],"sensing,":[109],"are":[111],"able":[112],"to":[113],"create":[114],"more":[116],"twin.":[119],"initial":[121],"results":[122],"indicate":[123],"mean":[125],"absolute":[126],"percentage":[127],"error":[128],"<1":[130],"%":[131],"for":[132,137],"temperature":[133],"around":[135],"10%":[136],"air":[138],"quality":[139],"parameters":[140],"CO":[143],"<inf":[144],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[145],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[146],",":[147],"when":[148],"compared":[149],"against":[150],"ground":[152],"truth":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
