{"id":"https://openalex.org/W2114763929","doi":"https://doi.org/10.1109/sysose.2012.6384178","title":"A new embedded e-nose system to identify smell of smoke","display_name":"A new embedded e-nose system to identify smell of smoke","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2114763929","doi":"https://doi.org/10.1109/sysose.2012.6384178","mag":"2114763929"},"language":"en","primary_location":{"id":"doi:10.1109/sysose.2012.6384178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2012.6384178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 7th International Conference on System of Systems Engineering (SoSE)","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/A5005126628","display_name":"Salahedin Sadeghifard","orcid":null},"institutions":[{"id":"https://openalex.org/I52623189","display_name":"Bushehr University of Medical Sciences","ror":"https://ror.org/02y18ts25","country_code":"IR","type":"education","lineage":["https://openalex.org/I52623189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Salahedin Sadeghifard","raw_affiliation_strings":["Instrument Maintenance Department, South Pars Gas Complex (SPGC), Bushehr, Iran","Instrument Maintenance Department, South Pars Gas Complex, Assaloye, Boushehr, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instrument Maintenance Department, South Pars Gas Complex (SPGC), Bushehr, Iran","institution_ids":["https://openalex.org/I52623189"]},{"raw_affiliation_string":"Instrument Maintenance Department, South Pars Gas Complex, Assaloye, Boushehr, Iran","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033687080","display_name":"Leili Esmaeilani","orcid":"https://orcid.org/0000-0003-2085-3230"},"institutions":[{"id":"https://openalex.org/I52623189","display_name":"Bushehr University of Medical Sciences","ror":"https://ror.org/02y18ts25","country_code":"IR","type":"education","lineage":["https://openalex.org/I52623189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Leili Esmaeilani","raw_affiliation_strings":["Instrument Maintenance Department, South Pars Gas Complex (SPGC), Bushehr, Iran","Instrument Maintenance Department, South Pars Gas Complex, Assaloye, Boushehr, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instrument Maintenance Department, South Pars Gas Complex (SPGC), Bushehr, Iran","institution_ids":["https://openalex.org/I52623189"]},{"raw_affiliation_string":"Instrument Maintenance Department, South Pars Gas Complex, Assaloye, Boushehr, Iran","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52623189"],"apc_list":null,"apc_paid":null,"fwci":0.2071,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59000835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"63","issue":null,"first_page":"253","last_page":"257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"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":1.0,"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/T12321","display_name":"Insect Pheromone Research and Control","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10461","display_name":"Gas Sensing Nanomaterials and Sensors","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/electronic-nose","display_name":"Electronic nose","score":0.7851421236991882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196828722953796},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.5937588214874268},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5348668694496155},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4574242830276489},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42481088638305664},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.39855092763900757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35523849725723267},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3449302911758423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07766753435134888}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.7851421236991882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196828722953796},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.5937588214874268},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5348668694496155},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4574242830276489},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42481088638305664},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.39855092763900757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35523849725723267},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3449302911758423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07766753435134888},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sysose.2012.6384178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2012.6384178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 7th International Conference on System of Systems Engineering (SoSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1964487357","https://openalex.org/W1982157606","https://openalex.org/W2033355541","https://openalex.org/W2167666253"],"related_works":["https://openalex.org/W2371500231","https://openalex.org/W2055525282","https://openalex.org/W2770593007","https://openalex.org/W4366147034","https://openalex.org/W2357140647","https://openalex.org/W2352423764","https://openalex.org/W2941736642","https://openalex.org/W298970755","https://openalex.org/W2225283375","https://openalex.org/W1916808198"],"abstract_inverted_index":{"This":[0],"work":[1],"examines":[2],"the":[3,80,87,140],"important":[4],"applications":[5],"of":[6,22,27,32,47,65,75],"modern":[7],"electronic":[8,29],"noses":[9],"and":[10,36,52,59,63,91,104,137],"focus":[11],"on":[12,69],"fire":[13],"detection":[14,35],"system":[15,39,142],"due":[16],"to":[17,50,82,89,139],"advantages":[18,74],"over":[19],"classical":[20],"method":[21,147],"detections.":[23],"The":[24,72,145],"three":[25],"components":[26],"an":[28,77],"nose":[30],"consist":[31],"sample":[33],"handling;":[34],"data":[37,122],"processing":[38],"are":[40,44,108],"designed.":[41],"These":[42],"devices":[43],"typically":[45],"array":[46,133],"sensors":[48,98],"used":[49,109],"detect":[51],"distinguish":[53],"odors":[54],"precisely":[55],"in":[56,110,126,148,154],"complex":[57,84],"samples":[58],"at":[60],"low":[61,105],"cost":[62],"capable":[64],"classifying":[66],"smoke":[67,155],"based":[68],"neural":[70],"networks.":[71],"potential":[73],"such":[76],"approach":[78],"include,":[79],"ability":[81],"characterize":[83],"mixtures":[85],"without":[86],"need":[88],"identify":[90],"quantify":[92],"individual":[93],"components,":[94],"Five":[95],"commercial":[96],"gas":[97],"(Figaro)":[99],"with":[100,116],"interesting":[101],"cross":[102],"sensitivity":[103],"power":[106],"consumption":[107],"sensor":[111,132],"array;":[112],"a":[113,117],"micro-controller":[114],"equipped":[115],"compact":[118],"flash":[119],"memory":[120],"assures":[121],"acquisition,":[123],"analyzing":[124],"procedures":[125],"real":[127],"time.":[128],"Signals":[129],"from":[130],"this":[131,149],"have":[134],"unique":[135],"pattern":[136],"applied":[138],"embedded":[141],"as":[143],"inputs.":[144],"proposed":[146],"paper":[150],"has":[151],"97.2%":[152],"efficiency":[153],"classification.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}