{"id":"https://openalex.org/W2115364587","doi":"https://doi.org/10.1109/cdc.2005.1583343","title":"Direction change detection from noisy data and application to mud logging data processing","display_name":"Direction change detection from noisy data and application to mud logging data processing","publication_year":2006,"publication_date":"2006-10-04","ids":{"openalex":"https://openalex.org/W2115364587","doi":"https://doi.org/10.1109/cdc.2005.1583343","mag":"2115364587"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2005.1583343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2005.1583343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th IEEE Conference on Decision and Control","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/A5100327258","display_name":"Qinghua Zhang","orcid":"https://orcid.org/0000-0001-5606-4191"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Qinghua Zhang","raw_affiliation_strings":["INRIA/IRISA, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INRIA/IRISA, Rennes, France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083952433","display_name":"Nicolas Fr\u00e9chin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Frechin","raw_affiliation_strings":["Geoservices, Z. I. du Coudray, France"],"affiliations":[{"raw_affiliation_string":"Geoservices, Z. I. du Coudray, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005076524","display_name":"Nicolas Gu\u00e9z\u00e9","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Gueze","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100327258"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I2802519937"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10781828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7326","last_page":"7331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9789000153541565,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9534000158309937,"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/logging","display_name":"Logging","score":0.6678628921508789},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6350427269935608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172305941581726},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5367516279220581},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5275190472602844},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.5106533169746399},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.44743436574935913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44530054926872253},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3453831672668457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32081839442253113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31503793597221375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2484668493270874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17690059542655945},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09303233027458191},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09127640724182129}],"concepts":[{"id":"https://openalex.org/C125620115","wikidata":"https://www.wikidata.org/wiki/Q845249","display_name":"Logging","level":2,"score":0.6678628921508789},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6350427269935608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172305941581726},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5367516279220581},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5275190472602844},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.5106533169746399},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44743436574935913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44530054926872253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3453831672668457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32081839442253113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31503793597221375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2484668493270874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17690059542655945},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09303233027458191},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09127640724182129},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2005.1583343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2005.1583343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1460189015","https://openalex.org/W2000329349","https://openalex.org/W2010315317","https://openalex.org/W2030255580","https://openalex.org/W2044535354","https://openalex.org/W2325067522","https://openalex.org/W2798909945","https://openalex.org/W3099514962","https://openalex.org/W3145074154","https://openalex.org/W4302564868"],"related_works":["https://openalex.org/W2373969208","https://openalex.org/W2578023326","https://openalex.org/W2800852182","https://openalex.org/W2177102068","https://openalex.org/W60557881","https://openalex.org/W1972416716","https://openalex.org/W2129700183","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"mud":[2,75],"logging":[3,76],"data":[4,14,77],"processing":[5,78],"in":[6,13,19],"petrol":[7],"exploitation,":[8],"the":[9,30,41,47],"detection":[10],"of":[11,23,43,49,71],"changes":[12],"line":[15],"direction":[16,67],"is":[17,34,54,64],"studied":[18],"this":[20,38],"paper.":[21],"Because":[22],"noise":[24,50],"corruption":[25],"to":[26,37,74],"all":[27],"measured":[28],"variables,":[29],"classical":[31],"regression":[32],"model":[33],"not":[35],"suitable":[36],"problem.":[39],"After":[40],"formulation":[42],"an":[44],"appropriate":[45],"model,":[46],"problem":[48],"covariance":[51],"matrix":[52],"estimation":[53],"first":[55],"considered,":[56],"then":[57],"a":[58],"particular":[59],"generalized":[60],"likelihood":[61],"ratio":[62],"test":[63],"derived":[65],"for":[66,81],"change":[68],"detection.":[69],"Examples":[70],"its":[72],"application":[73],"are":[79],"presented":[80],"illustration.":[82]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}