{"id":"https://openalex.org/W3216317327","doi":"https://doi.org/10.1109/icstcc52150.2021.9607321","title":"ARIMA and Wavelet-ARIMA Models for the Signal Produced by Ultrasound in Diesel","display_name":"ARIMA and Wavelet-ARIMA Models for the Signal Produced by Ultrasound in Diesel","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3216317327","doi":"https://doi.org/10.1109/icstcc52150.2021.9607321","mag":"3216317327"},"language":"en","primary_location":{"id":"doi:10.1109/icstcc52150.2021.9607321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc52150.2021.9607321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","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/A5000785049","display_name":"Alina B\u0103rbulescu","orcid":"https://orcid.org/0000-0001-9840-2443"},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Alina Barbulescu","raw_affiliation_strings":["Transilvania University of Bra\u015fov, Bra\u015fov, Romania"],"affiliations":[{"raw_affiliation_string":"Transilvania University of Bra\u015fov, Bra\u015fov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043222473","display_name":"Cristian \u0218tefan Dumitriu","orcid":"https://orcid.org/0000-0003-2862-5515"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cristian Stefan Dumitriu","raw_affiliation_strings":["SC Utilnavorep SA, Constan\u0163a, Romania"],"affiliations":[{"raw_affiliation_string":"SC Utilnavorep SA, Constan\u0163a, Romania","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000785049"],"corresponding_institution_ids":["https://openalex.org/I3123573182"],"apc_list":null,"apc_paid":null,"fwci":0.701,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64883721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9811000227928162,"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/T12537","display_name":"Flow Measurement and Analysis","score":0.9736999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8829782605171204},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7715988755226135},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5760194063186646},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.51154625415802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5090805888175964},{"id":"https://openalex.org/keywords/diesel-fuel","display_name":"Diesel fuel","score":0.4989278316497803},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.46791794896125793},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45078244805336},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4429616928100586},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.41599804162979126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3926815688610077},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3588781952857971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3359316289424896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.335327684879303},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2626922130584717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26108670234680176},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.24020639061927795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14537912607192993},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13554799556732178},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11205509305000305},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.09453475475311279}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8829782605171204},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7715988755226135},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5760194063186646},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.51154625415802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5090805888175964},{"id":"https://openalex.org/C138171918","wikidata":"https://www.wikidata.org/wiki/Q38423","display_name":"Diesel fuel","level":2,"score":0.4989278316497803},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.46791794896125793},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45078244805336},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4429616928100586},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.41599804162979126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3926815688610077},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3588781952857971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3359316289424896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.335327684879303},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2626922130584717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26108670234680176},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.24020639061927795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14537912607192993},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13554799556732178},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11205509305000305},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.09453475475311279},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icstcc52150.2021.9607321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc52150.2021.9607321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W125188367","https://openalex.org/W385004530","https://openalex.org/W1566611541","https://openalex.org/W1582484699","https://openalex.org/W1588163064","https://openalex.org/W1921859195","https://openalex.org/W1975994995","https://openalex.org/W2058614639","https://openalex.org/W2065283082","https://openalex.org/W2066849897","https://openalex.org/W2067984959","https://openalex.org/W2090220548","https://openalex.org/W2117091735","https://openalex.org/W2223626954","https://openalex.org/W2319170717","https://openalex.org/W2770700199","https://openalex.org/W2799461614","https://openalex.org/W3014659803","https://openalex.org/W3194262606","https://openalex.org/W4230644069","https://openalex.org/W4298352105","https://openalex.org/W4321847835","https://openalex.org/W6639984706","https://openalex.org/W6850302951"],"related_works":["https://openalex.org/W3135881084","https://openalex.org/W2380590035","https://openalex.org/W2351712633","https://openalex.org/W4224133501","https://openalex.org/W4388984322","https://openalex.org/W4285509495","https://openalex.org/W1509694164","https://openalex.org/W3216381689","https://openalex.org/W3041008604","https://openalex.org/W2971401309"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"new":[3],"results":[4],"on":[5],"modeling":[6],"the":[7,15,32,36,42,70,75],"signals":[8,33],"collected":[9,76],"in":[10,19,35],"an":[11],"experiment":[12],"related":[13],"to":[14],"propagation":[16],"of":[17],"ultrasound":[18,40],"liquids.":[20],"An":[21],"experimental":[22],"set-up":[23],"designed":[24],"for":[25,30,64],"this":[26],"purpose":[27],"was":[28,45,49],"utilized":[29],"capturing":[31],"produced":[34],"cavitation":[37],"field":[38],"by":[39,51],"when":[41],"studied":[43],"liquid":[44],"diesel.":[46],"The":[47],"signal":[48],"characterized":[50],"statistical":[52],"methods":[53],"and":[54,59],"two":[55],"alternative":[56],"models":[57],"(ARMA(3,1)":[58],"Wavelet-ARIMA)":[60],"have":[61],"been":[62],"proposed":[63],"it.":[65],"It":[66],"is":[67],"shown":[68],"that":[69],"second":[71],"one":[72],"better":[73],"describes":[74],"data.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
