{"id":"https://openalex.org/W3133213767","doi":"https://doi.org/10.1109/igarss39084.2020.9323438","title":"Earthquake Early Warning Using Low-Cost MEMS Sensors","display_name":"Earthquake Early Warning Using Low-Cost MEMS Sensors","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3133213767","doi":"https://doi.org/10.1109/igarss39084.2020.9323438","mag":"3133213767"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5037246393","display_name":"Youngwoo Kwon","orcid":"https://orcid.org/0000-0003-0625-8232"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Woo Kwon","raw_affiliation_strings":["Kyungpook National University, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000245870","display_name":"Jae-Kwang Ahn","orcid":"https://orcid.org/0000-0003-2518-7783"},"institutions":[{"id":"https://openalex.org/I1335415512","display_name":"Korea Meteorological Administration","ror":"https://ror.org/04nrmrg07","country_code":"KR","type":"government","lineage":["https://openalex.org/I1335415512"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Kwang Ahn","raw_affiliation_strings":["Korea Meteorological Administration, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Meteorological Administration, Seoul, South Korea","institution_ids":["https://openalex.org/I1335415512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399746","display_name":"Jimin Lee","orcid":"https://orcid.org/0000-0002-7172-8715"},"institutions":[{"id":"https://openalex.org/I1335415512","display_name":"Korea Meteorological Administration","ror":"https://ror.org/04nrmrg07","country_code":"KR","type":"government","lineage":["https://openalex.org/I1335415512"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jimin Lee","raw_affiliation_strings":["Korea Meteorological Administration, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Meteorological Administration, Seoul, South Korea","institution_ids":["https://openalex.org/I1335415512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100622990","display_name":"Chul\u2010Ho Lee","orcid":"https://orcid.org/0000-0001-6918-976X"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chul-Ho Lee","raw_affiliation_strings":["Florida Institute of Technology, Melbourne, FL, USA"],"affiliations":[{"raw_affiliation_string":"Florida Institute of Technology, Melbourne, FL, USA","institution_ids":["https://openalex.org/I106959904"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.373,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.677771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"6635","last_page":"6637"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Machine Learning for Earthquake Early Warning Systems","score":0.9999,"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/T13018","display_name":"Machine Learning for Earthquake Early Warning Systems","score":0.9999,"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/T12424","display_name":"Study of Earthquake Precursor Phenomena","score":0.9921,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection in High-Dimensional Data","score":0.9913,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/earthquake-warning-system","display_name":"Earthquake warning system","score":0.68693596},{"id":"https://openalex.org/keywords/earthquake-detection","display_name":"Earthquake Detection","score":0.617621},{"id":"https://openalex.org/keywords/pre-earthquake-signals","display_name":"Pre-earthquake Signals","score":0.573064},{"id":"https://openalex.org/keywords/earthquake-prediction-models","display_name":"Earthquake Prediction Models","score":0.559886},{"id":"https://openalex.org/keywords/real-time-seismology","display_name":"Real-Time Seismology","score":0.552694},{"id":"https://openalex.org/keywords/seismic-activity-monitoring","display_name":"Seismic Activity Monitoring","score":0.549711},{"id":"https://openalex.org/keywords/early-warning-system","display_name":"Early warning system","score":0.435381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632233},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.71544844},{"id":"https://openalex.org/C71939608","wikidata":"https://www.wikidata.org/wiki/Q5327282","display_name":"Earthquake warning system","level":3,"score":0.68693596},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.60628265},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5466193},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4747589},{"id":"https://openalex.org/C37977207","wikidata":"https://www.wikidata.org/wiki/Q175561","display_name":"Microelectromechanical systems","level":2,"score":0.45391753},{"id":"https://openalex.org/C2779296788","wikidata":"https://www.wikidata.org/wiki/Q5326904","display_name":"Early warning system","level":3,"score":0.435381},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41426533},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.41122472},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3419294},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1754426},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.119063795},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07392421},{"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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320322036","funder_display_name":"Korea Meteorological Administration","award_id":"KMA-135002988"}],"datasets":[],"versions":[],"referenced_works_count":4,"referenced_works":["https://openalex.org/W1995561847","https://openalex.org/W2101012814","https://openalex.org/W2272629573","https://openalex.org/W3080875990"],"related_works":["https://openalex.org/W4390432507","https://openalex.org/W4321491017","https://openalex.org/W4252035439","https://openalex.org/W3214014961","https://openalex.org/W2973880684","https://openalex.org/W2921505788","https://openalex.org/W2366686155","https://openalex.org/W2353979126","https://openalex.org/W2349372670","https://openalex.org/W2019221308"],"abstract_inverted_index":{"Over":[0],"the":[1,22,41,58,75,155,168,176],"past":[2],"several":[3,110],"years,":[4],"low-cost":[5,23,113,172],"micro-electro-mechanical":[6],"systems":[7],"(MEMS)":[8],"sensors":[9,25,42,115,174],"have":[10,158],"been":[11,137,146,159],"actively":[12],"used":[13],"for":[14,26,74,140],"detecting":[15],"earthquakes":[16],"in":[17,78,100,138],"real":[18],"time.":[19],"To":[20],"utilize":[21],"MEMS":[24,114,173],"earthquake":[27,83],"early":[28,156],"warning":[29],"(EEW),":[30],"it":[31],"is":[32,61,122],"crucial":[33],"to":[34,48,66,80,103,148,165,185],"construct":[35],"a":[36,45,50,117,133,142,150,187],"high-density":[37],"seismic":[38,181],"network":[39,178],"of":[40,53,63,112,132,171,179],"along":[43],"with":[44,85,175],"server":[46],"system":[47,77,107,135,170,190],"process":[49],"large":[51],"volume":[52],"acceleration":[54],"data":[55],"transmitted":[56],"from":[57],"sensors.":[59],"It":[60],"also":[62],"vital":[64],"importance":[65],"design":[67],"an":[68,105],"effective":[69],"and":[70,88,116,126,144,161,195],"efficient":[71],"detection":[72,84,119,196],"algorithm":[73],"networked":[76,134,169],"order":[79],"ensure":[81],"realtime":[82],"high":[86],"accuracy":[87],"low":[89],"false":[90],"alarms.":[91],"In":[92],"this":[93],"paper,":[94],"we":[95,163],"introduce":[96],"our":[97],"recent":[98],"effort":[99],"South":[101],"Korea":[102],"build":[104,186],"EEW":[106,189],"based":[108],"on":[109],"thousands":[111],"deep-learning-based":[118],"algorithm,":[120],"which":[121],"currently":[123],"being":[124],"developed":[125],"deployed":[127],"nationwide.":[128],"Its":[129],"initial":[130],"version":[131],"has":[136,145,192],"operation":[139],"over":[141],"year":[143],"able":[147],"detect":[149],"few":[151],"small-magnitude":[152],"earthquakes.":[153],"While":[154],"results":[157],"positive":[160],"promising,":[162],"envision":[164],"ultimately":[166],"integrate":[167],"existing":[177],"traditional":[180],"stations":[182],"so":[183],"as":[184],"unified":[188],"that":[191],"better":[193],"coverage":[194],"performance.":[197]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3133213767","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2024-10-22T03:57:19.456181","created_date":"2021-03-01"}