{"id":"https://openalex.org/W3141194722","doi":"https://doi.org/10.1109/ieeeconf49454.2021.9382729","title":"Automatic wood splinter detection system using cotton for gymnasium inspection","display_name":"Automatic wood splinter detection system using cotton for gymnasium inspection","publication_year":2021,"publication_date":"2021-01-11","ids":{"openalex":"https://openalex.org/W3141194722","doi":"https://doi.org/10.1109/ieeeconf49454.2021.9382729","mag":"3141194722"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf49454.2021.9382729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf49454.2021.9382729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/SICE International Symposium on System Integration (SII)","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/A5033921955","display_name":"Moriaki Inamine","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Moriaki Inamine","raw_affiliation_strings":["Tokyo University of Science, 2641, Yamazaki, Noda-shi, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, 2641, Yamazaki, Noda-shi, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091195424","display_name":"Wataru Inaba","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wataru Inaba","raw_affiliation_strings":["Tokyo University of Science, 2641, Yamazaki, Noda-shi, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, 2641, Yamazaki, Noda-shi, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004112508","display_name":"Satoki Tsuichihara","orcid":"https://orcid.org/0000-0003-0203-6544"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoki Tsuichihara","raw_affiliation_strings":["University of Fukui, 3-9-1 Bunkyo, Fukui, Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"University of Fukui, 3-9-1 Bunkyo, Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029548362","display_name":"Hiroshi Takemura","orcid":"https://orcid.org/0000-0003-0434-3142"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Takemura","raw_affiliation_strings":["Tokyo University of Science, 2641, Yamazaki, Noda-shi, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, 2641, Yamazaki, Noda-shi, Chiba, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058748442","display_name":"Shigeki Sumiya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shigeki Sumiya","raw_affiliation_strings":["Senoh Corporation, 250, Matsuhidai, Matsudo-shi, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Senoh Corporation, 250, Matsuhidai, Matsudo-shi, Chiba, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033921955"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.34,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71704562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"73","issue":null,"first_page":"400","last_page":"403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9772999882698059,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.581308901309967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5164849758148193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4343722462654114},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43012911081314087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.16298696398735046}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.581308901309967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5164849758148193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4343722462654114},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43012911081314087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16298696398735046}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf49454.2021.9382729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf49454.2021.9382729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2171414411","https://openalex.org/W2326759032","https://openalex.org/W2790320626","https://openalex.org/W2796347433","https://openalex.org/W2963037989","https://openalex.org/W3083074253","https://openalex.org/W4293584584","https://openalex.org/W6628973269","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,31,68,148,186,189],"this":[3,43,199],"research":[4],"is":[5,17,35,40],"to":[6,19,54,57,64,81,93,110],"develop":[7,46],"a":[8,47,79,83,86,104],"mobile":[9,48],"robot":[10,49],"which":[11],"detects":[12],"wood":[13,22,33,59,70,112,143],"splinters":[14,23,34,60,71,113],"automatically.":[15],"It":[16],"hard":[18],"find":[20,65],"the":[21,25,29,32,38,58,66,69,73,90,106,111,117,121,133,137,146,149,153,155,163,184,187,190,194],"from":[24,85,208],"floor":[26,191],"images":[27],"because":[28],"size":[30],"small":[36],"and":[37,61,92,100,162,170,175,201],"color":[39],"similar.":[41],"In":[42],"research,":[44],"we":[45,139,196],"equipped":[50],"with":[51],"two":[52],"rollers":[53],"attach":[55],"cotton":[56,109,207],"object":[62],"detection":[63,101],"location":[67],"using":[72],"attached":[74],"cotton.":[75],"We":[76],"also":[77],"build":[78],"system":[80],"generate":[82],"route":[84],"range":[87],"selected":[88],"by":[89],"inspector":[91],"show":[94],"results":[95],"based":[96],"on":[97],"running":[98,150],"records":[99],"results.":[102],"As":[103,116,145],"result,":[105],"accuracy":[107,200],"attaching":[108],"was":[114,125,129,159,178],"76%.":[115],"precision":[118],"detecting":[119,206],"cotton,":[120,195],"true":[122],"positive":[123,131,204],"rate":[124],"99%,":[126],"but":[127],"there":[128],"false":[130,203],"in":[132],"detected":[134],"result.":[135],"From":[136],"above,":[138],"could":[140],"detect":[141],"75%":[142],"splinters.":[144],"result":[147],"test":[151],"through":[152],"gymnasium,":[154],"total":[156],"inspection":[157,176],"time":[158],"87":[160],"minutes,":[161],"operation":[164],"took":[165],"one":[166],"person":[167,172],"when":[168,173,205],"setting":[169],"no":[171],"running,":[174],"omission":[177],"at":[179],"most":[180],"2.4%.":[181],"By":[182],"increasing":[183],"number":[185],"dataset":[188],"image":[192],"including":[193],"will":[197],"improve":[198],"reduce":[202],"now.":[209]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}