乐胖代购免代理版

{"id":"https://openalex.org/W2911237314","doi":"https://doi.org/10.1109/tvcg.2019.2898822","title":"Audio-Material Reconstruction for Virtualized Reality Using a Probabilistic Damping Model","display_name":"Audio-Material Reconstruction for Virtualized Reality Using a Probabilistic Damping Model","publication_year":2019,"publication_date":"2019-02-14","ids":{"openalex":"https://openalex.org/W2911237314","doi":"https://doi.org/10.1109/tvcg.2019.2898822","mag":"2911237314","pmid":"https://pubmed.ncbi.nlm.nih.gov/30762560"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2898822","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"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/A5005996231","display_name":"Auston Sterling","orcid":"https://orcid.org/0000-0001-7897-7610"},"institutions":[{"id":"https://openalex.org/I1333535994","display_name":"University of North Carolina Health Care","ror":"https://ror.org/00qz24g20","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1333535994"]},{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"funder","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Auston Sterling","raw_affiliation_strings":["UNC Chapel Hill"],"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I1333535994","https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011535172","display_name":"Nicholas Rewkowski","orcid":null},"institutions":[{"id":"https://openalex.org/I1333535994","display_name":"University of North Carolina Health Care","ror":"https://ror.org/00qz24g20","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1333535994"]},{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"funder","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Rewkowski","raw_affiliation_strings":["UNC Chapel Hill"],"affiliations":[{"raw_affiliation_string":"UNC Chapel Hill","institution_ids":["https://openalex.org/I1333535994","https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019042403","display_name":"Roberta L. Klatzky","orcid":"https://orcid.org/0000-0001-9701-9186"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"funder","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roberta L. Klatzky","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102878981","display_name":"Ming C. Lin","orcid":"https://orcid.org/0000-0003-3736-6949"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"funder","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming C. Lin","raw_affiliation_strings":["University of Maryland"],"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.124,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":13,"citation_normalized_percentile":{"value":0.877553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"25","issue":"5","first_page":"1855","last_page":"1864"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9997,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9997,"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/T11309","display_name":"Music and Audio Processing","score":0.9976,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9891,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.4469791},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.41987884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77390456},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.65077096},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5202293},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.50627387},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49512568},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46884882},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4469791},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.41987884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39188993},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34709004},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.21426594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20576227},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11767775},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2898822","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30762560","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.45,"id":"https://metadata.un.org/sdg/11"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":49,"referenced_works":["https://openalex.org/W1551385220","https://openalex.org/W1966618012","https://openalex.org/W1969746716","https://openalex.org/W1971261548","https://openalex.org/W1975523646","https://openalex.org/W1975585970","https://openalex.org/W1989642033","https://openalex.org/W2000454443","https://openalex.org/W2017282333","https://openalex.org/W2032608785","https://openalex.org/W2035195672","https://openalex.org/W2043506339","https://openalex.org/W2050210602","https://openalex.org/W2054466506","https://openalex.org/W2054483344","https://openalex.org/W2055149472","https://openalex.org/W2056478665","https://openalex.org/W2069087214","https://openalex.org/W2071225185","https://openalex.org/W2072752513","https://openalex.org/W2073054703","https://openalex.org/W2074310426","https://openalex.org/W2084858263","https://openalex.org/W2086869390","https://openalex.org/W2088432713","https://openalex.org/W2095582829","https://openalex.org/W2099332139","https://openalex.org/W2125292104","https://openalex.org/W2158895959","https://openalex.org/W2159497557","https://openalex.org/W2253292704","https://openalex.org/W2269028234","https://openalex.org/W2287379474","https://openalex.org/W2467649205","https://openalex.org/W2555915854","https://openalex.org/W2623706081","https://openalex.org/W2763181261","https://openalex.org/W2809920795","https://openalex.org/W29529489","https://openalex.org/W2992908950","https://openalex.org/W3145733612","https://openalex.org/W3216479679","https://openalex.org/W4206613077","https://openalex.org/W4229519752","https://openalex.org/W4231070535","https://openalex.org/W4234726483","https://openalex.org/W4254817357","https://openalex.org/W4256358566","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4287727129","https://openalex.org/W3041172967","https://openalex.org/W2960358116","https://openalex.org/W2943623134","https://openalex.org/W2749065928","https://openalex.org/W2588219639","https://openalex.org/W2494523064","https://openalex.org/W2215759665","https://openalex.org/W2147155098","https://openalex.org/W2030292806"],"abstract_inverted_index":{"Modal":[0],"sound":[1],"synthesis":[2],"has":[3],"been":[4],"used":[5],"to":[6,86,91],"create":[7],"realistic":[8],"sounds":[9,27,56],"from":[10,25,53],"rigid-body":[11],"objects,":[12],"but":[13,32],"requires":[14],"accurate":[15,38],"real-world":[16],"material":[17,20,69],"parameters.":[18],"These":[19],"parameters":[21,50],"can":[22,35],"be":[23],"estimated":[24],"recorded":[26,54,92],"of":[28,51,68,119,126],"an":[29],"impacted":[30],"object,":[31],"external":[33,61],"factors":[34],"interfere":[36],"with":[37,76,122],"parameter":[39,148],"estimation.":[40],"We":[41,63,115,137],"present":[42,139],"a":[43,77,88,123,127,131,140],"novel":[44],"technique":[45,95,121],"for":[46,151],"estimating":[47],"the":[48,65,98,106,111,117,146],"damping":[49,89],"materials":[52],"impact":[55],"that":[57],"probabilistically":[58],"models":[59],"these":[60],"factors.":[62],"represent":[64],"combined":[66],"effects":[67],"damping,":[70,72],"support":[71],"and":[73,102,130],"sampling":[74],"inaccuracies":[75],"probabilistic":[78],"generative":[79],"model,":[80],"then":[81],"use":[82],"maximum":[83],"likelihood":[84],"estimation":[85,149],"fit":[87],"model":[90],"data.":[93],"This":[94],"greatly":[96],"reduces":[97],"human":[99,143],"effort":[100],"needed":[101],"does":[103],"not":[104],"require":[105],"precise":[107],"object":[108,135],"geometry":[109],"or":[110],"exact":[112],"hit":[113],"location.":[114],"validate":[116],"effectiveness":[118],"this":[120],"comprehensive":[124],"analysis":[125],"synthetic":[128],"dataset":[129],"perceptual":[132],"study":[133,141],"on":[134,145],"identification.":[136],"also":[138],"establishing":[142],"performance":[144],"same":[147],"task":[150],"comparison.":[152]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2911237314","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-04-18T14:44:04.948888","created_date":"2019-02-21"}