{"id":"https://openalex.org/W2061113259","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000101","title":"Reliability-Based Hybrid Data Fusion Method for Adaptive Location Estimation in Construction","display_name":"Reliability-Based Hybrid Data Fusion Method for Adaptive Location Estimation in Construction","publication_year":2011,"publication_date":"2011-01-14","ids":{"openalex":"https://openalex.org/W2061113259","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000101","mag":"2061113259"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000101","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000101","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-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/A5031121913","display_name":"Saiedeh Razavi","orcid":"https://orcid.org/0000-0002-5971-3609"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Saiedeh N. Razavi","raw_affiliation_strings":["Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON N2L 2V3, Canada (corresponding author)","Professor, Director of the Centre for Pavement and Transportation Technology, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON N2L 2V3, Canada"],"affiliations":[{"raw_affiliation_string":"Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON N2L 2V3, Canada (corresponding author)","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Professor, Director of the Centre for Pavement and Transportation Technology, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON N2L 2V3, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013645278","display_name":"Carl T. Haas","orcid":"https://orcid.org/0000-0001-8867-9676"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Carl T. Haas","raw_affiliation_strings":["Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON N2L 2V3, Canada (corresponding author)","Professor, Director of the Centre for Pavement and Transportation Technology, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON N2L 2V3, Canada"],"affiliations":[{"raw_affiliation_string":"Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON N2L 2V3, Canada (corresponding author)","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Professor, Director of the Centre for Pavement and Transportation Technology, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. W, Waterloo, ON N2L 2V3, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031121913"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":11.1535,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98226161,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"1","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9656999707221985,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9537000060081482,"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/sensor-fusion","display_name":"Sensor fusion","score":0.7035343647003174},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6701895594596863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6509337425231934},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5837440490722656},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5567843914031982},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4815273880958557},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4705237150192261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2838868498802185},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11187776923179626}],"concepts":[{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7035343647003174},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6701895594596863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6509337425231934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5837440490722656},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5567843914031982},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4815273880958557},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4705237150192261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2838868498802185},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11187776923179626},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000101","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000101","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W359921665","https://openalex.org/W1506700870","https://openalex.org/W1600834507","https://openalex.org/W1969578102","https://openalex.org/W1977092387","https://openalex.org/W1986303114","https://openalex.org/W1996699016","https://openalex.org/W2005648612","https://openalex.org/W2015404834","https://openalex.org/W2031106548","https://openalex.org/W2054999339","https://openalex.org/W2081835455","https://openalex.org/W2085102648","https://openalex.org/W2091468595","https://openalex.org/W2132696335","https://openalex.org/W2244301984","https://openalex.org/W2533772163","https://openalex.org/W2548666829","https://openalex.org/W2739139804","https://openalex.org/W2904900506","https://openalex.org/W4285719527","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2095886385","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"Materials":[0],"tracking":[1],"and":[2,11,36,82,99,114,127,132,148,150,163,209,231,238],"locating,":[3],"which":[4,70],"can":[5],"be":[6,86,233],"accomplished":[7],"through":[8],"various":[9],"technologies":[10],"data":[12,37,51,110,123,181,195],"sources,":[13],"are":[14,75],"key":[15,117],"elements":[16],"affecting":[17],"construction":[18,67,93,211],"productivity.":[19],"The":[20,92,167,213],"need":[21],"for":[22,54,183],"developing":[23],"fundamental":[24],"methods":[25,53,179],"to":[26,63,77,124,144,153,201,227,232,235],"take":[27],"advantage":[28],"of":[29,33,50,80,102,193,199],"the":[30,45,83,90,95,100,103,172,177,191,221,225],"relative":[31],"strengths":[32],"each":[34,78],"technology":[35],"source":[38],"while":[39,129],"dealing":[40],"with":[41],"their":[42],"limitations":[43,101],"motivates":[44],"development":[46],"in":[47,65,69,108,180,216,241],"this":[48,121,136,217],"paper":[49,218],"fusion":[52,174,182],"improving":[55],"materials":[56,84],"location":[57,184,229],"estimation.":[58,185],"Particular":[59],"attention":[60],"is":[61,112,119],"paid":[62],"situations":[64],"a":[66,138,197,206],"environment":[68],"radio-frequency":[71],"identification":[72],"(RFID)":[73],"tags":[74],"attached":[76],"piece":[79],"material,":[81],"may":[85],"repeatedly":[87],"moved":[88],"around":[89],"site.":[91],"dynamics,":[94],"high":[96],"noise":[97,237],"ratio,":[98],"utilized":[104],"sensing":[105],"systems":[106],"result":[107],"imperfect":[109,122],"that":[111,171,220],"imprecise":[113],"uncertain.":[115],"A":[116],"challenge":[118],"using":[120],"improve":[125,228],"accuracy":[126,147],"precision":[128],"maintaining":[130],"cost-effectiveness":[131],"scalability.":[133],"To":[134],"address":[135],"issue,":[137],"hybrid":[139,157,173],"data-fusion":[140],"method":[141,158,175,223],"was":[142],"developed":[143],"increase":[145],"confidence,":[146],"precision,":[149],"add":[151],"robustness":[152],"measurement":[154,236],"estimates.":[155],"This":[156,186],"leverages":[159],"evidential":[160],"belief":[161],"reasoning":[162],"soft":[164],"computing":[165],"techniques.":[166],"experimental":[168],"results":[169,214],"show":[170],"outperforms":[176],"traditional":[178],"study":[187],"has":[188,224],"successfully":[189],"addressed":[190],"challenges":[192],"fusing":[194],"from":[196],"range":[198],"simple":[200],"complex":[202],"sensor":[203],"sources":[204],"within":[205],"very":[207],"noisy":[208],"dynamic":[210],"environment.":[212],"presented":[215],"indicate":[219],"proposed":[222],"potential":[226],"estimation":[230],"robust":[234],"future":[239],"advances":[240],"technology.":[242]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}