{"id":"https://openalex.org/W2952048626","doi":"https://doi.org/10.1109/lgrs.2019.2918641","title":"A Deep CNN-Based Ground Vibration Monitoring Scheme for MEMS Sensed Data","display_name":"A Deep CNN-Based Ground Vibration Monitoring Scheme for MEMS Sensed Data","publication_year":2019,"publication_date":"2019-06-12","ids":{"openalex":"https://openalex.org/W2952048626","doi":"https://doi.org/10.1109/lgrs.2019.2918641","mag":"2952048626"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2918641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2918641","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5028237781","display_name":"Jae\u2010Mo Kang","orcid":"https://orcid.org/0000-0002-8181-5994"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]},{"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":"Jae-Mo Kang","raw_affiliation_strings":["Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea","School of Intelligent Mechatronics Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Intelligent Mechatronics Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045676802","display_name":"Il\u2010Min Kim","orcid":"https://orcid.org/0000-0003-1339-8057"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Il-Min Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen\u2019s University, Kingston, Canada","Department of Electrical and Computer Engineering, Queen's University, Kingston, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1339-8057","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen\u2019s University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059811453","display_name":"Sangho Lee","orcid":"https://orcid.org/0000-0002-6145-3252"},"institutions":[{"id":"https://openalex.org/I4210142421","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210142421"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangho Lee","raw_affiliation_strings":["Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6145-3252","affiliations":[{"raw_affiliation_string":"Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea","institution_ids":["https://openalex.org/I4210142421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080535313","display_name":"Dong-Woo Ryu","orcid":"https://orcid.org/0000-0002-4556-9669"},"institutions":[{"id":"https://openalex.org/I4210142421","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210142421"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Woo Ryu","raw_affiliation_strings":["Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea","institution_ids":["https://openalex.org/I4210142421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010527656","display_name":"Jihoe Kwon","orcid":"https://orcid.org/0000-0002-3198-1388"},"institutions":[{"id":"https://openalex.org/I4210142421","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210142421"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihoe Kwon","raw_affiliation_strings":["Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea","institution_ids":["https://openalex.org/I4210142421"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9883,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81968503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"2","first_page":"347","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9987999796867371,"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":"Seismology and Earthquake Studies","score":0.9987999796867371,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9972000122070312,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.7756574153900146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7236922979354858},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7118461728096008},{"id":"https://openalex.org/keywords/microelectromechanical-systems","display_name":"Microelectromechanical systems","score":0.6334314942359924},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5604385137557983},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5205991268157959},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5177894830703735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46369799971580505},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40111425518989563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3395705223083496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3223201632499695},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32068416476249695},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08543181419372559}],"concepts":[{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.7756574153900146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236922979354858},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7118461728096008},{"id":"https://openalex.org/C37977207","wikidata":"https://www.wikidata.org/wiki/Q175561","display_name":"Microelectromechanical systems","level":2,"score":0.6334314942359924},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5604385137557983},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5205991268157959},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5177894830703735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46369799971580505},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40111425518989563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3395705223083496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3223201632499695},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32068416476249695},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08543181419372559},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2918641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2918641","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.75,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322097","display_name":"Korea Institute of Geoscience and Mineral Resources","ror":"https://ror.org/044k0pw44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W368177500","https://openalex.org/W1499863513","https://openalex.org/W1989906353","https://openalex.org/W1997834106","https://openalex.org/W2105943304","https://openalex.org/W2133411430","https://openalex.org/W2153477645","https://openalex.org/W2180882138","https://openalex.org/W2510282576","https://openalex.org/W2549848742","https://openalex.org/W2754074426","https://openalex.org/W2762410434","https://openalex.org/W2793454338","https://openalex.org/W2794436210","https://openalex.org/W2799565130","https://openalex.org/W2894841399","https://openalex.org/W2919115771","https://openalex.org/W6612741254","https://openalex.org/W6729320335"],"related_works":["https://openalex.org/W2272290532","https://openalex.org/W2120483398","https://openalex.org/W1530711136","https://openalex.org/W1763916368","https://openalex.org/W2391127530","https://openalex.org/W2045074154","https://openalex.org/W2346208161","https://openalex.org/W2974943474","https://openalex.org/W3185156046","https://openalex.org/W2922305141"],"abstract_inverted_index":{"Ground":[0],"vibration":[1,38],"monitoring":[2,39],"with":[3],"microelectromechanical":[4],"systems":[5],"(MEMS)":[6],"sensors":[7],"is":[8,114],"very":[9,91],"effective":[10],"and":[11,22,60],"promising":[12],"for":[13,41,98],"alerting":[14],"geological":[15],"disasters.":[16],"In":[17],"this":[18],"letter,":[19],"explicitly":[20],"considering":[21],"effectively":[23],"addressing":[24],"several":[25],"specific":[26],"issues":[27],"related":[28],"to":[29],"practical":[30],"MEMS":[31,42],"sensors,":[32],"we":[33],"develop":[34],"a":[35,47,90,107],"novel":[36],"ground":[37],"scheme":[40,74,88,105],"sensed":[43],"data":[44,62,68,84,101],"based":[45],"on":[46,57,66],"deep":[48],"convolutional":[49],"neural":[50],"network":[51],"(CNN).":[52],"Experiments":[53],"are":[54],"then":[55],"conducted":[56],"the":[58,72,77,82,86,99,103,122],"synthetic":[59,83],"real":[61,100],"sets.":[63],"Experimental":[64],"results":[65],"both":[67],"sets":[69],"demonstrate":[70],"that":[71,119],"proposed":[73,87,104],"significantly":[75],"outperforms":[76],"other":[78],"comparable":[79],"schemes.":[80],"For":[81],"set,":[85,102],"achieves":[89,106],"high":[92,108],"overall":[93,109],"accuracy":[94,110],"of":[95,111],"98.82%.":[96],"Also,":[97],"81.64%,":[112],"which":[113],"about":[115],"7%":[116],"higher":[117],"than":[118],"reported":[120],"in":[121],"literature.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}