{"id":"https://openalex.org/W1995199151","doi":"https://doi.org/10.1109/i2mtc.2013.6555647","title":"Uncertainty analysis of three-dimensional three-component (3C3D) microflow imaging and velocity measurement system using Monte-Carlo simulation","display_name":"Uncertainty analysis of three-dimensional three-component (3C3D) microflow imaging and velocity measurement system using Monte-Carlo simulation","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1995199151","doi":"https://doi.org/10.1109/i2mtc.2013.6555647","mag":"1995199151"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2013.6555647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2013.6555647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5068491243","display_name":"Mona Abdolrazaghi","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mona Abdolrazaghi","raw_affiliation_strings":["Mechanical Engineering, University of Alberta, Edmonton, Canada","Mech. Eng., Univ. of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Mech. Eng., Univ. of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068491243"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0928606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"95","issue":null,"first_page":"1416","last_page":"1419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12537","display_name":"Flow Measurement and Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12537","display_name":"Flow Measurement and Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9936000108718872,"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"}},{"id":"https://openalex.org/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9900000095367432,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.8291968107223511},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45438703894615173},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.44373977184295654},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.4243798553943634},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3855176568031311},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.34301841259002686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18999943137168884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.18581271171569824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17613473534584045},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14849749207496643},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10043331980705261},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09404012560844421},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.06998232007026672}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.8291968107223511},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45438703894615173},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.44373977184295654},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.4243798553943634},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3855176568031311},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.34301841259002686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18999943137168884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18581271171569824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17613473534584045},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14849749207496643},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10043331980705261},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09404012560844421},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.06998232007026672}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2013.6555647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2013.6555647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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":12,"referenced_works":["https://openalex.org/W1970718624","https://openalex.org/W2004577112","https://openalex.org/W2048840464","https://openalex.org/W2067142665","https://openalex.org/W2067468280","https://openalex.org/W2073467673","https://openalex.org/W2078828946","https://openalex.org/W2082665483","https://openalex.org/W2171447090","https://openalex.org/W2802844542","https://openalex.org/W2977360630","https://openalex.org/W4235809857"],"related_works":["https://openalex.org/W2393870460","https://openalex.org/W2254578859","https://openalex.org/W4284894156","https://openalex.org/W2161803855","https://openalex.org/W2134539662","https://openalex.org/W3110774753","https://openalex.org/W2394523273","https://openalex.org/W2084842408","https://openalex.org/W2059096050","https://openalex.org/W2093391715"],"abstract_inverted_index":{"An":[0],"investigation":[1],"to":[2,73,99],"determine":[3],"the":[4,26,39,101,112,116],"measurement":[5,14],"uncertainty":[6],"of":[7,25,38,42,44,59,78,115],"a":[8,20,47,60,63,91],"three-component":[9],"three":[10],"dimensional":[11],"(3C3D)":[12],"velocity":[13,29],"technique":[15,27],"has":[16,124],"been":[17,125],"performed":[18],"through":[19,57],"Monte-Carlo":[21],"simulation.":[22],"The":[23,104],"concept":[24],"is":[28,53],"vector":[30],"field":[31,118],"calculation":[32],"based":[33],"on":[34],"3D":[35,85,93],"cross":[36,86],"correlation":[37,87],"intensity":[40,76],"volumes":[41],"positions":[43],"particles":[45],"with":[46,62,119],"known":[48],"time":[49],"interval.":[50],"Each":[51],"volume":[52,77],"generated":[54],"by":[55,90],"scanning":[56],"depth":[58],"micro-channel":[61],"thin":[64],"focal":[65],"plane,":[66],"capturing":[67],"images,":[68],"and":[69,108,120],"stacking":[70],"them":[71],"together":[72],"build":[74],"an":[75,83],"particles'":[79],"position,":[80],"then":[81],"applying":[82],"extended":[84],"algorithm,":[88],"followed":[89],"developed":[92],"elliptical":[94],"Gaussian":[95],"peak":[96],"detection":[97],"algorithm":[98],"calculate":[100],"flow":[102,117],"field.":[103],"optimum":[105],"particle":[106],"diameter":[107],"seeding":[109],"density":[110],"in":[111],"synthetic":[113],"images":[114],"without":[121],"background":[122],"noise":[123],"investigated.":[126]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
