{"id":"https://openalex.org/W3002455189","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965857","title":"Genuineness Classification and Identification of Traditional Chinese Medicine Materials Based on an Electronic Nose","display_name":"Genuineness Classification and Identification of Traditional Chinese Medicine Materials Based on an Electronic Nose","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002455189","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965857","mag":"3002455189"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100734557","display_name":"Rongrong Chen","orcid":"https://orcid.org/0000-0002-5362-2116"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongrong Chen","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Zhaoqing University,Zhaoqing,China","School of Electronic and Electrical Engineering, Zhaoqing University, Zhaoqing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Zhaoqing University,Zhaoqing,China","institution_ids":["https://openalex.org/I183816158"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Zhaoqing University, Zhaoqing, China","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757791","display_name":"Haitao Wu","orcid":"https://orcid.org/0000-0002-2701-0562"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Wu","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Zhaoqing University,Zhaoqing,China","School of Electronic and Electrical Engineering, Zhaoqing University, Zhaoqing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Zhaoqing University,Zhaoqing,China","institution_ids":["https://openalex.org/I183816158"]},{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Zhaoqing University, Zhaoqing, China","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039028399","display_name":"De-Yuan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093114","display_name":"Shenzhen Weiguang Biological Products (China)","ror":"https://ror.org/00hdm6c37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyuan Huang","raw_affiliation_strings":["Guangdong Mai Lin Ke Biological Technology Co. Ltd.,Guangzhou,China","Guangdong Mai Lin Ke Biological Technology Co. Ltd., Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Mai Lin Ke Biological Technology Co. Ltd.,Guangzhou,China","institution_ids":["https://openalex.org/I4210093114"]},{"raw_affiliation_string":"Guangdong Mai Lin Ke Biological Technology Co. Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I4210093114"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100734557"],"corresponding_institution_ids":["https://openalex.org/I183816158"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1663545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9477999806404114,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.8411415815353394},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7210600972175598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5316696166992188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4818238317966461},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3960627019405365}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.8411415815353394},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7210600972175598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5316696166992188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4818238317966461},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3960627019405365},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/cisp-bmei48845.2019.8965857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1876688746","https://openalex.org/W1970651029","https://openalex.org/W1973798705","https://openalex.org/W1978516585","https://openalex.org/W1982640634","https://openalex.org/W1993813295","https://openalex.org/W1998640076","https://openalex.org/W2009986810","https://openalex.org/W2036737027","https://openalex.org/W2051701188","https://openalex.org/W2075528422","https://openalex.org/W2117820313","https://openalex.org/W2121647436","https://openalex.org/W2122111042","https://openalex.org/W2140473415","https://openalex.org/W2379730211"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2056596841","https://openalex.org/W2349581046","https://openalex.org/W2080410076","https://openalex.org/W2912293709","https://openalex.org/W1596740836","https://openalex.org/W2536125181","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Electronic":[0],"nose":[1],"coalesced":[2],"with":[3,110],"statistical":[4],"analysis":[5],"and":[6,16,35,42,66,72,94,121,145],"pattern":[7],"recognition":[8],"is":[9],"a":[10,40,49,97],"useful":[11],"method":[12,44],"in":[13,33,85,106],"odor":[14],"classification":[15,98],"identification.":[17],"Since":[18],"the":[19,22,129,140],"regions":[20],"of":[21,25,45,52,74,78,100,113,142,152],"same":[23],"kind":[24],"Traditional":[26],"Chinese":[27],"Medicine":[28],"(TCM)":[29],"materials":[30,154],"may":[31],"differ":[32],"efficacy":[34],"odors,":[36],"whether":[37],"e-nose":[38,135],"provided":[39],"fast":[41],"efficient":[43],"TCM":[46,153],"discrimination":[47],"was":[48,124,136],"valuable":[50],"topic":[51],"discussion.":[53],"In":[54],"this":[55],"paper,":[56],"Linear":[57],"Discrimination":[58,64],"Analysis":[59,68],"(LDA),":[60],"Maximum":[61],"Scatter":[62],"Difference":[63],"(MSD)":[65],"Cluster":[67],"(CA)":[69],"were":[70,87],"implemented":[71],"odors":[73],"five":[75],"different":[76],"kinds":[77,151],"Fructus":[79],"Amomis":[80],"(always":[81],"called":[82],"\u201cSha":[83,143],"Ren\u201d":[84,144],"Chinese)":[86],"collected":[88],"as":[89],"testing":[90],"objects;":[91],"both":[92],"LDA":[93],"MSD":[95],"achieved":[96],"accuracy":[99],"100%":[101],"while":[102],"CA":[103],"got":[104],"94%":[105],"totally":[107],"50":[108],"samples":[109,112],"10":[111],"each":[114],"kind.":[115],"Identification":[116],"relied":[117],"on":[118],"Euclidean":[119],"distance":[120,123],"Mahalanobis":[122],"also":[125],"applied":[126,148],"to":[127,138,149],"test":[128],"recognition.":[130],"The":[131],"results":[132],"indicated":[133],"that":[134],"effective":[137],"discriminate":[139],"genuineness":[141],"could":[146],"be":[147],"more":[150],"for":[155],"quality":[156],"control.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}