{"id":"https://openalex.org/W3086223925","doi":"https://doi.org/10.1145/3410530.3414381","title":"Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography","display_name":"Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3086223925","doi":"https://doi.org/10.1145/3410530.3414381","mag":"3086223925"},"language":"en","primary_location":{"id":"doi:10.1145/3410530.3414381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3410530.3414381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers","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/A5011565397","display_name":"Mariusz Mazurek","orcid":"https://orcid.org/0000-0002-9646-6897"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mariusz Mazurek","raw_affiliation_strings":["Academy of Science, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Academy of Science, Warsaw, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066003040","display_name":"Tomasz Rymarczyk","orcid":"https://orcid.org/0000-0002-3524-9151"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Rymarczyk","raw_affiliation_strings":["University of Economics and Innovation in Lublin, Lublin, Poland"],"affiliations":[{"raw_affiliation_string":"University of Economics and Innovation in Lublin, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079302783","display_name":"Konrad Kania","orcid":"https://orcid.org/0000-0003-1545-0891"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Konrad Kania","raw_affiliation_strings":["University of Economics and Innovation in Lublin, Lublin, Poland"],"affiliations":[{"raw_affiliation_string":"University of Economics and Innovation in Lublin, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070349657","display_name":"Grzegorz K\u0142osowski","orcid":"https://orcid.org/0000-0001-7927-3674"},"institutions":[{"id":"https://openalex.org/I8264552","display_name":"Lublin University of Technology","ror":"https://ror.org/024zjzd49","country_code":"PL","type":"education","lineage":["https://openalex.org/I8264552"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Grzegorz K\u0142osowski","raw_affiliation_strings":["Lublin University of Technology, Lublin, Poland"],"affiliations":[{"raw_affiliation_string":"Lublin University of Technology, Lublin, Poland","institution_ids":["https://openalex.org/I8264552"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011565397"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5349,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73765949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13113","display_name":"Engineering Technology and Methodologies","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13113","display_name":"Engineering Technology and Methodologies","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9850999712944031,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9850999712944031,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6798511743545532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6662887930870056},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6302642822265625},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.6286274194717407},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6239986419677734},{"id":"https://openalex.org/keywords/industrial-computed-tomography","display_name":"Industrial computed tomography","score":0.5081160068511963},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.505179226398468},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.4999716281890869},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4880200922489166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44154977798461914},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4311111867427826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4198182225227356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12709271907806396},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10866537690162659}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6798511743545532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662887930870056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6302642822265625},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.6286274194717407},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6239986419677734},{"id":"https://openalex.org/C116321358","wikidata":"https://www.wikidata.org/wiki/Q1662063","display_name":"Industrial computed tomography","level":3,"score":0.5081160068511963},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.505179226398468},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.4999716281890869},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4880200922489166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44154977798461914},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4311111867427826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4198182225227356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12709271907806396},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10866537690162659},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3410530.3414381","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3410530.3414381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2809002902","https://openalex.org/W2895301365","https://openalex.org/W2954401188","https://openalex.org/W3123944501","https://openalex.org/W4235180526"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2174937762","https://openalex.org/W2212883587"],"abstract_inverted_index":{"The":[0,15,70],"article":[1],"presents":[2],"a":[3,37,58,73,87],"cyber-physical":[4],"system":[5,90],"for":[6,39,54,91],"acquiring,":[7],"processing":[8],"and":[9,48,61,86],"reconstructing":[10],"images":[11],"from":[12],"measurement":[13],"data.":[14],"technology":[16],"is":[17],"based":[18,76],"on":[19,77],"process":[20],"tomography,":[21],"intelligent":[22,89],"sensors,":[23],"machine":[24],"learning,":[25],"Big":[26],"Data,":[27],"Cloud":[28],"Computing,":[29],"as":[30,32,36],"well":[31],"Internet":[33],"of":[34,46,64],"Things":[35],"solution":[38],"industry":[40],"4.0.":[41],"Industrial":[42],"tomography":[43],"allows":[44,62],"observation":[45],"physical":[47],"chemical":[49],"phenomena":[50],"without":[51],"the":[52,83],"need":[53],"internal":[55],"penetration,":[56],"in":[57,67],"non-destructive":[59],"way":[60],"monitoring":[63],"manufacturing":[65],"processes":[66],"real":[68],"time.":[69],"application":[71],"contains":[72],"dedicated":[74],"algorithm":[75],"discrete":[78],"cosine":[79],"transformation":[80],"to":[81],"solve":[82],"inverse":[84],"problem":[85],"specialized":[88],"tomographic":[92],"measurements.":[93]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
