{"id":"https://openalex.org/W4399454398","doi":"https://doi.org/10.3390/s24123708","title":"Signal Denoising of Traffic Speed Deflectometer Measurement Based on Partial Swarm Optimization\u2013Variational Mode Decomposition Method","display_name":"Signal Denoising of Traffic Speed Deflectometer Measurement Based on Partial Swarm Optimization\u2013Variational Mode Decomposition Method","publication_year":2024,"publication_date":"2024-06-07","ids":{"openalex":"https://openalex.org/W4399454398","doi":"https://doi.org/10.3390/s24123708","pmid":"https://pubmed.ncbi.nlm.nih.gov/38931491"},"language":"en","primary_location":{"id":"doi:10.3390/s24123708","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123708","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3708/pdf?version=1717753143","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/12/3708/pdf?version=1717753143","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016732188","display_name":"Chaoyang Wu","orcid":"https://orcid.org/0000-0002-0201-0611"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyang Wu","raw_affiliation_strings":["School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101697866","display_name":"Yiyuan Duan","orcid":"https://orcid.org/0000-0002-7293-7682"},"institutions":[{"id":"https://openalex.org/I3133134087","display_name":"Lanzhou Jiaotong University","ror":"https://ror.org/03144pv92","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133134087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyuan Duan","raw_affiliation_strings":["School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China","institution_ids":["https://openalex.org/I3133134087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029278847","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-8666-6900"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029278847"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.3616,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77939553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"12","first_page":"3708","last_page":"3708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9970999956130981,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9970999956130981,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7168607115745544},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.625975489616394},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5305134654045105},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.43404191732406616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4338158369064331},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3944200873374939},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31409966945648193},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.2572658658027649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2131490409374237}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7168607115745544},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.625975489616394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5305134654045105},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.43404191732406616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4338158369064331},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3944200873374939},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31409966945648193},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.2572658658027649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2131490409374237},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24123708","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123708","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3708/pdf?version=1717753143","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38931491","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38931491","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_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":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11207336","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11207336","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11207336/pdf/sensors-24-03708.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:d912fa21d0bf421786868f8b3c14d81c","is_oa":true,"landing_page_url":"https://doaj.org/article/d912fa21d0bf421786868f8b3c14d81c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 12, p 3708 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24123708","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123708","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3708/pdf?version=1717753143","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399454398.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W331678588","https://openalex.org/W397076878","https://openalex.org/W1600819642","https://openalex.org/W1999280232","https://openalex.org/W2000982976","https://openalex.org/W2006803905","https://openalex.org/W2028762274","https://openalex.org/W2030601087","https://openalex.org/W2085951760","https://openalex.org/W2098395403","https://openalex.org/W2147531925","https://openalex.org/W2164104048","https://openalex.org/W2744000381","https://openalex.org/W2807763442","https://openalex.org/W2946798700","https://openalex.org/W3000332379","https://openalex.org/W3041016892","https://openalex.org/W3043151360","https://openalex.org/W3098430379","https://openalex.org/W3117669514","https://openalex.org/W3196636665","https://openalex.org/W4307056357","https://openalex.org/W4312403660","https://openalex.org/W4384519511","https://openalex.org/W4389890662","https://openalex.org/W4390037425","https://openalex.org/W4391731531","https://openalex.org/W6682642761","https://openalex.org/W6847717475","https://openalex.org/W6859617797"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2072581623","https://openalex.org/W2011248322","https://openalex.org/W2329112433"],"abstract_inverted_index":{"To":[0],"accurately":[1],"identify":[2],"the":[3,15,18,28,39,48,56,66,75,81,85,92,106,112,119,123,138],"deflection":[4,147],"data":[5,135],"collected":[6],"by":[7],"a":[8,21,127,151],"traffic":[9],"speed":[10],"deflectometer":[11],"(TSD)":[12],"and":[13,55,62,80,101],"eliminate":[14],"noise":[16,148],"in":[17,130,145],"measured":[19],"signals,":[20],"TSD":[22,134,146,155],"signal":[23,58,63,156],"denoising":[24],"method":[25,35,121],"based":[26],"on":[27,114],"partial":[29],"swarm":[30,68],"optimization-variational":[31],"mode":[32,54],"decomposition":[33,100],"(PSO-VMD)":[34],"is":[36,42,71],"proposed.":[37],"Initially,":[38],"VMD":[40,86],"algorithm":[41,70],"used":[43],"for":[44,59,84,154],"modal":[45,60],"decomposition,":[46],"calculating":[47],"correlation":[49],"coefficients":[50],"between":[51],"each":[52],"decomposed":[53],"original":[57],"selection":[61],"reconstruction;":[64],"Then,":[65],"particle":[67],"optimization":[69],"utilized":[72],"to":[73,95],"optimize":[74],"number":[76],"of":[77,109],"modes":[78],"K":[79],"value":[82],"\u03b1":[83],"algorithm,":[87],"adopting":[88],"fuzzy":[89],"entropy":[90],"as":[91],"affinity":[93],"function":[94],"circumvent":[96],"effects":[97],"from":[98],"sequence":[99],"forecasting":[102],"accuracy,":[103],"thus":[104],"identifying":[105],"optimal":[107],"combination":[108],"hyperparameters.":[110],"Finally,":[111],"analysis":[113],"simulated":[115],"signals":[116],"indicates":[117],"that":[118,137],"PSO-VMD":[120],"secures":[122],"best":[124],"parameters,":[125],"showing":[126],"clear":[128],"advantage":[129],"denoising.":[131,157],"Denoising":[132],"real":[133],"validates":[136],"approach":[139],"proposed":[140],"herein":[141],"achieves":[142],"commendable":[143],"outcomes":[144],"reduction,":[149],"offering":[150],"feasible":[152],"strategy":[153]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}