{"id":"https://openalex.org/W4367032050","doi":"https://doi.org/10.1109/access.2023.3270220","title":"Track Misregistration Mitigation Using CNN-Based Method on Single-Reader/Two-Track Reading BPMR Systems","display_name":"Track Misregistration Mitigation Using CNN-Based Method on Single-Reader/Two-Track Reading BPMR Systems","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4367032050","doi":"https://doi.org/10.1109/access.2023.3270220"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3270220","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3270220","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107986.pdf","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://ieeexplore.ieee.org/ielx7/6287639/6514899/10107986.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028860627","display_name":"Kittipon Kankhunthod","orcid":"https://orcid.org/0000-0002-1577-4952"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kittipon Kankhunthod","raw_affiliation_strings":["College of Advanced Manufacturing Innovation, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-1577-4952","affiliations":[{"raw_affiliation_string":"College of Advanced Manufacturing Innovation, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078236688","display_name":"Chanon Warisarn","orcid":"https://orcid.org/0000-0002-8408-1893"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chanon Warisarn","raw_affiliation_strings":["College of Advanced Manufacturing Innovation, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-8408-1893","affiliations":[{"raw_affiliation_string":"College of Advanced Manufacturing Innovation, King Mongkut&#x2019;s Institute of Technology Ladkrabang, Bangkok, Thailand","institution_ids":["https://openalex.org/I91538806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91538806"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8857,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85043902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"41954","last_page":"41963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10049","display_name":"Magnetic properties of thin films","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10049","display_name":"Magnetic properties of thin films","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11799","display_name":"Adhesion, Friction, and Surface Interactions","score":0.9660999774932861,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9650999903678894,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8721548318862915},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7261095643043518},{"id":"https://openalex.org/keywords/patterned-media","display_name":"Patterned media","score":0.6768122315406799},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.6053450703620911},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4984133243560791},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.490073561668396},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46982836723327637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45675525069236755},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.42494767904281616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3999682068824768},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33310478925704956},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13407647609710693},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09886404871940613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8721548318862915},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7261095643043518},{"id":"https://openalex.org/C2778596170","wikidata":"https://www.wikidata.org/wiki/Q4444360","display_name":"Patterned media","level":3,"score":0.6768122315406799},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.6053450703620911},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4984133243560791},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.490073561668396},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46982836723327637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45675525069236755},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.42494767904281616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3999682068824768},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33310478925704956},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13407647609710693},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09886404871940613},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3270220","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3270220","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107986.pdf","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:0f194025e7144debabbfdc759b293b23","is_oa":true,"landing_page_url":"https://doaj.org/article/0f194025e7144debabbfdc759b293b23","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 11, Pp 41954-41963 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3270220","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3270220","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10107986.pdf","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G2856100023","display_name":null,"funder_award_id":"KREF046407","funder_id":"https://openalex.org/F4320324172","funder_display_name":"King Mongkut's Institute of Technology Ladkrabang"},{"id":"https://openalex.org/G8332684537","display_name":null,"funder_award_id":"KDS2019/031","funder_id":"https://openalex.org/F4320324172","funder_display_name":"King Mongkut's Institute of Technology Ladkrabang"}],"funders":[{"id":"https://openalex.org/F4320324172","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367032050.pdf","grobid_xml":"https://content.openalex.org/works/W4367032050.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1573371491","https://openalex.org/W2099373967","https://openalex.org/W2100236976","https://openalex.org/W2127999089","https://openalex.org/W2128765501","https://openalex.org/W2140182272","https://openalex.org/W2142846827","https://openalex.org/W2157494358","https://openalex.org/W2160811118","https://openalex.org/W2169666828","https://openalex.org/W2170610955","https://openalex.org/W2908669387","https://openalex.org/W2917986347","https://openalex.org/W2919115771","https://openalex.org/W2987713106","https://openalex.org/W3070854742","https://openalex.org/W3080230076","https://openalex.org/W3081341513","https://openalex.org/W3089721381","https://openalex.org/W3112149006","https://openalex.org/W3200445080","https://openalex.org/W4254413039","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W1986586280","https://openalex.org/W1892011953","https://openalex.org/W2043766703","https://openalex.org/W2016701876","https://openalex.org/W2511137960","https://openalex.org/W2137654917","https://openalex.org/W2000407566","https://openalex.org/W2540356038","https://openalex.org/W1520621782","https://openalex.org/W1480223231"],"abstract_inverted_index":{"One":[0],"of":[1,11,84,90,93,99,176],"the":[2,9,12,24,36,39,46,51,71,78,82,85,91,94,108,118,123,141,150,157,173],"problems":[3],"that":[4,130],"cause":[5],"a":[6,63],"decrease":[7],"in":[8,38,167],"performance":[10],"ultra-high":[13],"bit-patterned":[14],"magnetic":[15],"recording":[16,177],"(BPMR)":[17],"system":[18,133,142],"is":[19,29],"track":[20,47],"misregistration":[21,48],"(TMR).":[22],"Since":[23],"gap":[25],"between":[26],"data":[27,125,152,164],"tracks":[28],"extremely":[30],"narrow,":[31],"it":[32],"easily":[33],"affects":[34],"keeping":[35],"reader":[37],"desired":[40],"position.":[41],"Therefore,":[42],"this":[43],"paper":[44],"proposes":[45],"mitigation":[49],"included":[50],"estimation":[52,68],"and":[53,97,172],"correction":[54],"techniques":[55],"on":[56],"single-reader/two-track":[57],"reading":[58],"(SRTR)":[59],"BPMR":[60],"using":[61],"only":[62],"readback":[64,86],"signal.":[65],"The":[66,102,127],"TMR":[67,79,104,136],"technique":[69],"uses":[70],"convolutional":[72],"neural":[73],"network":[74],"(CNN)":[75],"to":[76,116,144,156],"estimate":[77],"level":[80],"by":[81,122],"histograms":[83],"signal":[87],"enabling":[88],"minimization":[89],"complexity":[92],"CNN":[95],"structure":[96],"amount":[98],"training":[100],"time.":[101],"estimated":[103,119],"levels":[105],"obtained":[106],"from":[107],"proposed":[109,132],"CNN-histogram-based":[110],"method":[111],"will":[112],"then":[113],"be":[114],"utilized":[115],"detect":[117],"recorded":[120],"bit":[121],"CNN-based":[124,151],"detector.":[126],"simulation":[128],"shows":[129],"our":[131],"provides":[134],"better":[135],"prediction":[137],"accuracy":[138],"even":[139],"though":[140],"has":[143],"face":[145],"higher":[146],"media":[147],"noise.":[148],"Furthermore,":[149],"detectors":[153],"perform":[154],"superior":[155],"partial":[158],"response":[159],"maximum":[160],"likelihood":[161],"(PRML)":[162],"based":[163],"detector,":[165],"especially":[166],"strong":[168],"electronic":[169],"noise":[170],"situations":[171],"severe":[174],"imperfection":[175],"media.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
