{"id":"https://openalex.org/W4391992229","doi":"https://doi.org/10.1109/access.2024.3368694","title":"Robust Isotropic Residual-Constrained VMD: A Novel Filter for Analyzing Engineering Surface Topography","display_name":"Robust Isotropic Residual-Constrained VMD: A Novel Filter for Analyzing Engineering Surface Topography","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391992229","doi":"https://doi.org/10.1109/access.2024.3368694"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3368694","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368694","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3368694","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101625120","display_name":"Qin Wen","orcid":"https://orcid.org/0009-0007-3196-7424"},"institutions":[{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Wen","raw_affiliation_strings":["School of Artificial Intelligence, Neijiang Normal University, Neijiang, China"],"raw_orcid":"https://orcid.org/0009-0007-3196-7424","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Neijiang Normal University, Neijiang, China","institution_ids":["https://openalex.org/I4210117337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089245882","display_name":"Nianqing Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianqing Tang","raw_affiliation_strings":["School of Artificial Intelligence, Neijiang Normal University, Neijiang, China"],"raw_orcid":"https://orcid.org/0009-0002-5711-9048","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Neijiang Normal University, Neijiang, China","institution_ids":["https://openalex.org/I4210117337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210117337"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1819,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40404692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"29795","last_page":"29811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11138","display_name":"Tribology and Lubrication Engineering","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/residual","display_name":"Residual","score":0.671859622001648},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.5890814065933228},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4991335868835449},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4970386326313019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46195435523986816},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4332973062992096},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3434436619281769},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2991238236427307},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2941361665725708},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29303252696990967},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21132159233093262},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19631996750831604},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1485300362110138}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.671859622001648},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.5890814065933228},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4991335868835449},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4970386326313019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46195435523986816},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4332973062992096},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3434436619281769},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2991238236427307},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2941361665725708},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29303252696990967},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21132159233093262},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19631996750831604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1485300362110138},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3368694","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368694","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:57c1efd140064aacbbf860445d8d9897","is_oa":true,"landing_page_url":"https://doaj.org/article/57c1efd140064aacbbf860445d8d9897","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 29795-29811 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3368694","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368694","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G317690951","display_name":null,"funder_award_id":"2023QN12","funder_id":"https://openalex.org/F4320327787","funder_display_name":"Neijiang Normal University"}],"funders":[{"id":"https://openalex.org/F4320327787","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W106533607","https://openalex.org/W1976657518","https://openalex.org/W1986634820","https://openalex.org/W1993498752","https://openalex.org/W2007221293","https://openalex.org/W2019900743","https://openalex.org/W2041557400","https://openalex.org/W2060248164","https://openalex.org/W2085276219","https://openalex.org/W2104193490","https://openalex.org/W2135269154","https://openalex.org/W2326245624","https://openalex.org/W2353436949","https://openalex.org/W2741034219","https://openalex.org/W2788404797","https://openalex.org/W2792585910","https://openalex.org/W2918285655","https://openalex.org/W2967909013","https://openalex.org/W3020865293","https://openalex.org/W3027382553","https://openalex.org/W3136583682","https://openalex.org/W4312521325","https://openalex.org/W4319068869","https://openalex.org/W4321381461","https://openalex.org/W4384928486","https://openalex.org/W6736531730"],"related_works":["https://openalex.org/W2794789911","https://openalex.org/W4298134547","https://openalex.org/W1559463472","https://openalex.org/W2122976425","https://openalex.org/W2088773039","https://openalex.org/W2284229495","https://openalex.org/W4382753160","https://openalex.org/W1994881304","https://openalex.org/W2028697747","https://openalex.org/W2326575494"],"abstract_inverted_index":{"Surface":[0],"topography":[1,41,74,119,141],"filtering":[2,27],"is":[3],"a":[4,15,53],"commonly":[5],"used":[6],"technique":[7],"in":[8,22,36,160],"various":[9],"fields,":[10],"and":[11,44,112,168],"over":[12],"the":[13,37,82,90,94,101,114,118,128,153,165,170],"years,":[14],"variety":[16],"of":[17,39,120,139],"filters":[18],"have":[19],"been":[20],"included":[21],"international":[23],"standards.":[24],"However,":[25],"traditional":[26],"methods":[28],"continue":[29],"to":[30,99,116,156],"suffer":[31],"from":[32],"significant":[33],"fitting":[34,137],"errors":[35,138],"separation":[38,142],"surface":[40,73,102,133,140],"(form,":[42],"waviness":[43],"roughness).":[45],"To":[46],"address":[47],"these":[48],"issues,":[49],"this":[50],"study":[51],"proposes":[52],"new":[54],"filter":[55,71],"algorithm":[56,67,130,155],"based":[57],"on":[58],"an":[59],"improved":[60],"VMD":[61,98],"method":[62],"that":[63,127],"incorporates":[64],"some":[65],"VME":[66],"ideas.":[68],"The":[69],"proposed":[70,129,154],"analyzes":[72],"through":[75],"three":[76],"pivotal":[77],"steps:":[78],"Firstly,":[79],"it":[80,88,109],"derives":[81],"optimal":[83],"robust":[84],"weighting":[85,91],"function.":[86],"Secondly,":[87],"integrates":[89],"function":[92],"into":[93,103],"isotropic":[95,105],"residual":[96],"constraint":[97],"decompose":[100],"several":[104],"modes":[106],"(sub-surfaces).":[107],"Ultimately,":[108],"quantitatively":[110],"computes":[111],"combines":[113],"sub-surfaces":[115],"reconstruct":[117],"each":[121],"surface.":[122],"Numerical":[123],"simulation":[124],"experiments":[125],"illustrate":[126],"outperforms":[131],"advanced":[132],"filters,":[134],"significantly":[135],"reducing":[136],"including":[143],"areal-VMD-based":[144],"filters.":[145],"Finally,":[146],"two":[147],"grinding":[148],"workpieces":[149],"are":[150],"analyzed":[151],"using":[152],"demonstrate":[157],"its":[158],"effectiveness":[159],"evaluating":[161],"machined":[162],"surfaces,":[163],"revealing":[164],"analytical":[166],"process":[167],"presenting":[169],"results.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
