{"id":"https://openalex.org/W2932802156","doi":"https://doi.org/10.1142/s0218001420550046","title":"The Identification and Evaluation Model for Test Paper\u2019s Color and Substance Concentration","display_name":"The Identification and Evaluation Model for Test Paper\u2019s Color and Substance Concentration","publication_year":2019,"publication_date":"2019-04-02","ids":{"openalex":"https://openalex.org/W2932802156","doi":"https://doi.org/10.1142/s0218001420550046","mag":"2932802156"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001420550046","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001420550046","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5009273148","display_name":"Jinlan Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinlan Guan","raw_affiliation_strings":["Department of Basic Courses, Guangdong AIB Polytechnic College, Guangzhou 510507, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0001-7047-9422","affiliations":[{"raw_affiliation_string":"Department of Basic Courses, Guangdong AIB Polytechnic College, Guangzhou 510507, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008681939","display_name":"Jiequan Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089143","display_name":"Changzhou Vocational Institute of Light Industry","ror":"https://ror.org/005ysj118","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiequan Ou","raw_affiliation_strings":["E-Business Network Teaching Department, Guangzhou Light Industry Vocational School, Guangzhou 510650, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"E-Business Network Teaching Department, Guangzhou Light Industry Vocational School, Guangzhou 510650, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210089143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741063","display_name":"Guanghua Liu","orcid":"https://orcid.org/0000-0003-0460-4453"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghua Liu","raw_affiliation_strings":["Scientific Research and Industria Service Office, Guangdong AIB Polytechnic College, Guangzhou 510507, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scientific Research and Industria Service Office, Guangdong AIB Polytechnic College, Guangzhou 510507, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082537221","display_name":"Minna Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minna Chen","raw_affiliation_strings":["Basic Courses Department, Guangdong Polytechnic of Environmental Protection Engineering, Foshan 528216, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Basic Courses Department, Guangdong Polytechnic of Environmental Protection Engineering, Foshan 528216, P.\u00a0R.\u00a0China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108213882","display_name":"Yuting Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Lai","raw_affiliation_strings":["Department of Basic Courses, Guangdong AIB Polytechnic College, Guangzhou 510507, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Basic Courses, Guangdong AIB Polytechnic College, Guangzhou 510507, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009273148"],"corresponding_institution_ids":["https://openalex.org/I4210122543"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02210076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"02","first_page":"2055004","last_page":"2055004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9664999842643738,"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":0.9664999842643738,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9128000140190125,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9093999862670898,"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/rgb-color-model","display_name":"RGB color model","score":0.7307820916175842},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.6365011930465698},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6136406660079956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6129770874977112},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5854395627975464},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5440821051597595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5379076600074768},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5206193923950195},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5203725695610046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46914997696876526},{"id":"https://openalex.org/keywords/primary-color","display_name":"Primary color","score":0.45697224140167236},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.4492895305156708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4144539535045624},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41193467378616333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36183810234069824}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7307820916175842},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.6365011930465698},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6136406660079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6129770874977112},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5854395627975464},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5440821051597595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5379076600074768},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5206193923950195},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5203725695610046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46914997696876526},{"id":"https://openalex.org/C106730002","wikidata":"https://www.wikidata.org/wiki/Q166902","display_name":"Primary color","level":2,"score":0.45697224140167236},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.4492895305156708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4144539535045624},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41193467378616333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36183810234069824},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001420550046","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001420550046","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1989267105","https://openalex.org/W2044844327","https://openalex.org/W2055839697","https://openalex.org/W2297991835","https://openalex.org/W2464913182","https://openalex.org/W2763163816","https://openalex.org/W2888806483","https://openalex.org/W6600237248","https://openalex.org/W6600872643"],"related_works":["https://openalex.org/W357196361","https://openalex.org/W1992540108","https://openalex.org/W3109425891","https://openalex.org/W1036938216","https://openalex.org/W2379508020","https://openalex.org/W2113714434","https://openalex.org/W2377792686","https://openalex.org/W2074225891","https://openalex.org/W4200439127","https://openalex.org/W829658220"],"abstract_inverted_index":{"The":[0,127,146],"colorimetric":[1],"method":[2,14],"is":[3,56,85,118,134,144,149,170],"usually":[4],"used":[5],"to":[6,25,32,90,120,160,172,179],"test":[7,45,67,141,166],"the":[8,34,38,41,44,52,59,64,71,78,91,95,98,102,107,110,113,122,125,130,137,140,152,161,165,174,181],"concentration":[9,42,53,72,79,123],"of":[10,37,43,54,74,80,94,101,109,124,129,139,164],"substances.":[11],"However,":[12],"this":[13,28],"has":[15,154],"a":[16],"big":[17],"error":[18],"since":[19],"different":[20,23],"people":[21],"have":[22],"sensitivities":[24],"colors.":[26],"In":[27],"paper,":[29,46],"in":[30],"order":[31],"solve":[33],"identification":[35],"problem":[36],"color":[39,60,83,99],"and":[40,82,112,136,151],"firstly,":[47],"we":[48],"found":[49],"out":[50],"that":[51],"substance":[55,81,182],"correlated":[57],"with":[58],"reading":[61,84],"by":[62,70],"using":[63],"Pearson\u2019s":[65],"Chi-squared":[66],"method.":[68],"And":[69],"coefficient":[73],"Pearson":[75],"correlation":[76],"analysis,":[77],"highly":[86],"correlated.":[87],"Secondly,":[88],"according":[89,159],"RGB":[92,162],"value":[93,163],"paper":[96,167],"image,":[97,111,168],"moments":[100],"image":[103],"are":[104],"calculated":[105],"as":[106],"characteristics":[108],"Levenberg\u2013Marquardt":[114],"(LM)":[115],"neural":[116,176],"network":[117,177],"established":[119],"classify":[121],"substance.":[126],"accuracy":[128,138],"training":[131],"set":[132,142],"model":[133,143,147,153,178],"94.5%,":[135],"87.5%.":[145],"precision":[148],"high,":[150],"stronger":[155],"generalization":[156],"ability.":[157],"Therefore,":[158],"it":[169],"effective":[171],"establish":[173],"LM":[175],"identify":[180],"concentration.":[183]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}