{"id":"https://openalex.org/W2944802156","doi":"https://doi.org/10.23919/elinfocom.2019.8706370","title":"A Comparison of Machine Learning Schemes for Moving Direction Estimation with Acoustic Data","display_name":"A Comparison of Machine Learning Schemes for Moving Direction Estimation with Acoustic Data","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2944802156","doi":"https://doi.org/10.23919/elinfocom.2019.8706370","mag":"2944802156"},"language":"en","primary_location":{"id":"doi:10.23919/elinfocom.2019.8706370","is_oa":false,"landing_page_url":"https://doi.org/10.23919/elinfocom.2019.8706370","pdf_url":null,"source":{"id":"https://openalex.org/S4306498533","display_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038881443","display_name":"Yoojeong Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoojeong Seo","raw_affiliation_strings":["Department of Information Engineering, Soongsil University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033207888","display_name":"Beomhui Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Beomhui Jang","raw_affiliation_strings":["Department of Information Engineering, Soongsil University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101525189","display_name":"Sungbin Im","orcid":"https://orcid.org/0000-0002-7284-1031"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungbin Im","raw_affiliation_strings":["Department of Information Engineering, Soongsil University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Soongsil University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":null,"apc_paid":null,"fwci":1.5452,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76499854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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":0.9786999821662903,"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/T10860","display_name":"Speech and Audio Processing","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/support-vector-machine","display_name":"Support vector machine","score":0.7095832824707031},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.7003054618835449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411219835281372},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6256530284881592},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5706547498703003},{"id":"https://openalex.org/keywords/sonar","display_name":"Sonar","score":0.5591892004013062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5089490413665771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4803237020969391},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.46608370542526245},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41593897342681885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2330506443977356},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16906839609146118}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7095832824707031},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.7003054618835449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411219835281372},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6256530284881592},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5706547498703003},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.5591892004013062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5089490413665771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4803237020969391},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.46608370542526245},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41593897342681885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2330506443977356},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16906839609146118},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/elinfocom.2019.8706370","is_oa":false,"landing_page_url":"https://doi.org/10.23919/elinfocom.2019.8706370","pdf_url":null,"source":{"id":"https://openalex.org/S4306498533","display_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1605688901","https://openalex.org/W2023603021","https://openalex.org/W2109100930","https://openalex.org/W2584180403","https://openalex.org/W2768511943","https://openalex.org/W3103163183"],"related_works":["https://openalex.org/W3199220297","https://openalex.org/W2137769200","https://openalex.org/W2070821970","https://openalex.org/W3036464408","https://openalex.org/W2020990755","https://openalex.org/W2377851227","https://openalex.org/W4293088966","https://openalex.org/W2366868484","https://openalex.org/W2917463375","https://openalex.org/W2155219672"],"abstract_inverted_index":{"In":[0,30],"this":[1,31,49],"paper,":[2],"we":[3],"investigate":[4],"the":[5,9,16,21,26,33,52,68,83,86,92,95,100,103,115,121,127,131,146,148,155],"problem":[6,50],"of":[7,12,38,85,97,102,123,130],"estimating":[8],"moving":[10],"direction":[11],"a":[13,59,80,109],"target":[14],"using":[15,71],"acoustic":[17],"data":[18],"received":[19],"by":[20],"horizontal":[22],"array":[23],"sonar":[24],"in":[25,58,145],"shallow":[27,64],"water":[28],"environment.":[29],"study,":[32,147],"two":[34],"machine":[35,42,75],"learning":[36],"schemes":[37],"quadratic":[39,72,156],"support":[40,73,157],"vector":[41,74,158],"and":[43,76,91,99,125,138],"bagging":[44,77,149],"tree":[45,78,150],"are":[46],"applied":[47],"to":[48,120],"because":[51],"conventional":[53],"methods":[54],"showed":[55],"poor":[56],"performance":[57,84,101,153],"rapidly":[60],"changing":[61],"environment":[62],"like":[63],"water.":[65],"To":[66],"verify":[67],"learned":[69,87],"model":[70,116],"for":[79,141],"given":[81],"environment,":[82],"models":[88,104],"is":[89,105,112,118],"compared":[90],"correlation":[93],"between":[94],"number":[96,122,129],"sensors":[98,124],"experimentally":[106],"investigated.":[107],"As":[108],"result,":[110],"it":[111],"observed":[113],"that":[114,126],"accuracy":[117],"proportional":[119],"valid":[128],"sensor":[132],"should":[133],"be":[134],"at":[135],"least":[136],"13":[137],"more.":[139],"Furthermore,":[140],"all":[142],"cases":[143],"considered":[144],"shows":[151],"higher":[152],"than":[154],"machine.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
