{"id":"https://openalex.org/W2919885883","doi":"https://doi.org/10.1109/infocom.2019.8737621","title":"TwinLeak: RFID-based Liquid Leakage Detection in Industrial Environments","display_name":"TwinLeak: RFID-based Liquid Leakage Detection in Industrial Environments","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2919885883","doi":"https://doi.org/10.1109/infocom.2019.8737621","mag":"2919885883"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2019.8737621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2019.8737621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications","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/A5000249216","display_name":"Junchen Guo","orcid":"https://orcid.org/0000-0002-9018-8881"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junchen Guo","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428027","display_name":"Ting Wang","orcid":"https://orcid.org/0009-0001-0625-6563"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060129988","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6676-4009"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111241587","display_name":"Meng Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Jin","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057099891","display_name":"Chengkun Jiang","orcid":"https://orcid.org/0000-0002-1828-596X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengkun Jiang","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101877973","display_name":"Yunhao Liu","orcid":"https://orcid.org/0000-0001-8052-9200"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunhao Liu","raw_affiliation_strings":["Computer Science and Engineering, Michigan State University"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000249216"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.7572,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.94592213,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"883","last_page":"891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9879000186920166,"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/leakage","display_name":"Leakage (economics)","score":0.808722198009491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6337762475013733},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6337598562240601},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4934503138065338},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4728572368621826},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4714798927307129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.307171493768692},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2297852337360382}],"concepts":[{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.808722198009491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6337762475013733},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6337598562240601},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4934503138065338},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4728572368621826},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4714798927307129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.307171493768692},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2297852337360382},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2019.8737621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2019.8737621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W643058322","https://openalex.org/W2008348094","https://openalex.org/W2011519950","https://openalex.org/W2053196400","https://openalex.org/W2084616221","https://openalex.org/W2093255275","https://openalex.org/W2119230255","https://openalex.org/W2120117050","https://openalex.org/W2145458239","https://openalex.org/W2523934390","https://openalex.org/W2560434740","https://openalex.org/W2761676759","https://openalex.org/W2762819682","https://openalex.org/W2770345413","https://openalex.org/W2792051659","https://openalex.org/W2798824163","https://openalex.org/W2874356750","https://openalex.org/W2891039375","https://openalex.org/W2897688655"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W1487808658"],"abstract_inverted_index":{"Liquid":[0],"leakage":[1,56,63,141,157,166,176],"detection":[2,84],"is":[3,79,86,105,169],"a":[4,49,75,159,193,202,207,213],"crucial":[5],"issue":[6],"in":[7,192],"modern":[8],"industry,":[9],"which":[10,16,78],"concerns":[11],"industrial":[12,42,195],"safety.":[13],"Traditional":[14],"solutions,":[15],"generally":[17],"rely":[18],"on":[19,94],"specialized":[20],"sensors,":[21],"suffer":[22],"from":[23,149],"intrusive":[24],"deployment,":[25],"high":[26,29],"cost,":[27],"and":[28,40,68,154,178,189,212],"power":[30],"consumption.":[31],"Such":[32],"problems":[33],"prohibit":[34],"applying":[35],"those":[36],"solutions":[37],"for":[38,140,165],"large-scale":[39],"continuously":[41],"monitoring.":[43],"In":[44,198],"this":[45],"work,":[46],"we":[47],"present":[48],"RFID-based":[50],"solution,":[51],"TwinLeak,":[52,182],"to":[53,108,119,172],"detect":[54],"liquid":[55,110,228],"using":[57,158],"COTS":[58],"RFID":[59],"devices.":[60],"Detecting":[61],"the":[62,95,98,109,120,128,131,175],"accurately":[64],"with":[65],"coarse-grained":[66],"RSSI":[67],"phase":[69],"readings":[70],"of":[71,116,122,133,152],"tags":[72,104,135],"has":[73],"been":[74],"daunting":[76],"task,":[77],"especially":[80],"challenging":[81],"when":[82],"low":[83],"delay":[85],"required.":[87],"Our":[88],"system":[89],"achieves":[90,201],"these":[91],"goals":[92],"based":[93],"fact":[96],"that":[97],"inductive":[99],"coupling":[100],"between":[101,112,130],"two":[102,134],"adjacent":[103],"highly":[106],"sensitive":[107],"leaked":[111],"them.":[113],"Therefore,":[114],"instead":[115],"judging":[117],"according":[118],"signals":[121,132,153],"each":[123],"individual":[124],"tag,":[125],"TwinLeak":[126,200],"utilizes":[127],"relationship":[129],"as":[136],"an":[137],"effective":[138],"feature":[139],"detection.":[142],"Specifically,":[143],"Twin-Leak":[144],"extracts":[145],"discriminative":[146],"signal":[147],"features":[148],"short":[150],"segments":[151],"instantly":[155],"identifies":[156],"light-weight":[160],"classifier.":[161],"A":[162],"model-guided":[163],"method":[164],"progress":[167],"tracking":[168],"further":[170],"devised":[171],"simultaneously":[173],"estimate":[174],"volume":[177],"rate.":[179],"We":[180],"implement":[181],"evaluate":[183],"its":[184],"performance":[185],"across":[186],"various":[187],"scenarios,":[188],"deploy":[190],"it":[191],"real-world":[194],"IoT":[196],"system.":[197],"average,":[199],"TPR":[203],"higher":[204],"than":[205,210],"97.2%,":[206],"FPR":[208],"lower":[209],"0.5%,":[211],"relative":[214],"property":[215],"estimation":[216],"error":[217],"around":[218],"10%,":[219],"while":[220],"triggering":[221],"early":[222],"alarms":[223],"after":[224],"only":[225],"about":[226],"4.6mL":[227],"leaks.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":9}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
