{"id":"https://openalex.org/W2844411561","doi":"https://doi.org/10.1109/i2mtc.2018.8409833","title":"Real-time implementation of an IFD scheme for motorcycle sensors","display_name":"Real-time implementation of an IFD scheme for motorcycle sensors","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2844411561","doi":"https://doi.org/10.1109/i2mtc.2018.8409833","mag":"2844411561"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2018.8409833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5039059946","display_name":"Domenico Capriglione","orcid":"https://orcid.org/0000-0001-8449-1406"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Domenico Capriglione","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Salerno, Fisciano, (SA), ITALY"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Salerno, Fisciano, (SA), ITALY","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014275270","display_name":"Marco Carrat\u00f9","orcid":"https://orcid.org/0000-0001-8146-6088"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Carratu","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Salerno, Fisciano, (SA), ITALY"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Salerno, Fisciano, (SA), ITALY","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071580146","display_name":"Antonio Pietrosanto","orcid":"https://orcid.org/0000-0001-5593-7325"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Pietrosanto","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Salerno, Fisciano, (SA), ITALY"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Salerno, Fisciano, (SA), ITALY","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016248242","display_name":"Paolo Sommella","orcid":"https://orcid.org/0000-0001-9607-866X"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Sommella","raw_affiliation_strings":["Dept. of Industrial Engineering, University of Salerno, Fisciano, (SA), ITALY"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering, University of Salerno, Fisciano, (SA), ITALY","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039059946"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":3.8752,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.94040657,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"54","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.992900013923645,"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/T11236","display_name":"Control Systems and Identification","score":0.9883999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/firmware","display_name":"Firmware","score":0.9420091509819031},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.8371621966362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6980205774307251},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6365044713020325},{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.5473811626434326},{"id":"https://openalex.org/keywords/microcode","display_name":"Microcode","score":0.49357283115386963},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40607306361198425},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4052813947200775},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.24741894006729126},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10180515050888062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10027265548706055}],"concepts":[{"id":"https://openalex.org/C67212190","wikidata":"https://www.wikidata.org/wiki/Q104851","display_name":"Firmware","level":2,"score":0.9420091509819031},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.8371621966362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980205774307251},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6365044713020325},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.5473811626434326},{"id":"https://openalex.org/C22174128","wikidata":"https://www.wikidata.org/wiki/Q175869","display_name":"Microcode","level":2,"score":0.49357283115386963},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40607306361198425},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4052813947200775},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.24741894006729126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10180515050888062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10027265548706055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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:10.1109/i2mtc.2018.8409833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"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":25,"referenced_works":["https://openalex.org/W1524758670","https://openalex.org/W1983815835","https://openalex.org/W2032548797","https://openalex.org/W2070591742","https://openalex.org/W2070933574","https://openalex.org/W2075254971","https://openalex.org/W2112393653","https://openalex.org/W2128782445","https://openalex.org/W2136132972","https://openalex.org/W2162673254","https://openalex.org/W2249641377","https://openalex.org/W2519049480","https://openalex.org/W2584915873","https://openalex.org/W2604265998","https://openalex.org/W2615872479","https://openalex.org/W2725615981","https://openalex.org/W2742513200","https://openalex.org/W2767129945","https://openalex.org/W2779680141","https://openalex.org/W2920647936","https://openalex.org/W2982952611","https://openalex.org/W4248564984","https://openalex.org/W6676966196","https://openalex.org/W6726214058","https://openalex.org/W6760779878"],"related_works":["https://openalex.org/W1966431236","https://openalex.org/W608147619","https://openalex.org/W2026551898","https://openalex.org/W1984676852","https://openalex.org/W2068967940","https://openalex.org/W4252104358","https://openalex.org/W2062160093","https://openalex.org/W2025981307","https://openalex.org/W1998626163","https://openalex.org/W2056006243"],"abstract_inverted_index":{"The":[0],"paper":[1],"describes":[2],"the":[3,27,40,52,55,60,64,68,73,87,90,94],"firmware":[4,57],"implementation,":[5],"on":[6,47],"a":[7,15,43,48],"low":[8],"cost":[9],"general":[10],"purpose":[11],"ARM-based":[12],"microcontroller,":[13],"of":[14,31,42,54,62,93],"Nonlinear":[16],"Auto-Regressive":[17],"with":[18,39,59],"eXogenous":[19],"inputs":[20],"(NARX)":[21],"network-based":[22],"IFD":[23],"scheme":[24],"developed":[25],"for":[26,51],"rear":[28],"stroke":[29],"sensor":[30],"motorcycle":[32],"semi-active":[33],"suspension":[34],"systems.":[35],"Main":[36],"novelties":[37],"dealt":[38],"proposal":[41],"structured":[44],"approach":[45],"based":[46],"five-step":[49],"procedure":[50],"optimization":[53,96],"microcontroller's":[56],"production,":[58],"aim":[61],"warranting":[63],"real-time":[65],"operating,":[66],"constraining":[67],"current":[69],"consumption":[70],"and":[71,78,85,89],"reducing":[72],"clock":[74],"frequency.":[75],"Both":[76],"simulation":[77],"experimental":[79],"results":[80],"are":[81],"reported":[82],"to":[83],"show":[84],"quantify":[86],"importance":[88],"actual":[91],"impact":[92],"proposed":[95],"steps.":[97]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}