{"id":"https://openalex.org/W2130394964","doi":"https://doi.org/10.1007/978-3-540-77090-9_53","title":"Target Classification in Sparse Sampling Acoustic Sensor Networks Using IDDC Algorithm","display_name":"Target Classification in Sparse Sampling Acoustic Sensor Networks Using IDDC Algorithm","publication_year":2007,"publication_date":"2007-11-26","ids":{"openalex":"https://openalex.org/W2130394964","doi":"https://doi.org/10.1007/978-3-540-77090-9_53","mag":"2130394964"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-77090-9_53","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-77090-9_53","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-77090-9_53.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-77090-9_53.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100395865","display_name":"Youngsoo Kim","orcid":"https://orcid.org/0000-0002-2828-8398"},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Youngsoo Kim","raw_affiliation_strings":["Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","institution_ids":["https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412733","display_name":"Daeyoung Kim","orcid":"https://orcid.org/0000-0002-4297-3834"},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daeyoung Kim","raw_affiliation_strings":["Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","institution_ids":["https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076950802","display_name":"Taehong Kim","orcid":"https://orcid.org/0000-0001-6246-6218"},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taehong Kim","raw_affiliation_strings":["Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","institution_ids":["https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103345174","display_name":"Jongwoo Sung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jongwoo Sung","raw_affiliation_strings":["Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","institution_ids":["https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022666150","display_name":"Seong-eun Yoo","orcid":"https://orcid.org/0000-0003-3626-342X"},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seongeun Yoo","raw_affiliation_strings":["Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University (ICU), 119 Munjiro, Yuseong-Gu, Daejon, Korea, Postal Code: 305-714, \u00a0","institution_ids":["https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Real-time and Embedded Systems Laboratory, Information and Communications University, Daejon, Korea#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100395865"],"corresponding_institution_ids":["https://openalex.org/I4210145666"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22169532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"568","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9828000068664551,"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/computer-science","display_name":"Computer science","score":0.6439905166625977},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.593063235282898},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5839702486991882},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5807667970657349},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5660691261291504},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5651548504829407},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5560544729232788},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5412421226501465},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.532454788684845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5192058682441711},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5084656476974487},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.45414990186691284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4156220555305481},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41116952896118164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37575098872184753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14499375224113464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10391828417778015},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09566035866737366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439905166625977},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.593063235282898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5839702486991882},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5807667970657349},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5660691261291504},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5651548504829407},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5560544729232788},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5412421226501465},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.532454788684845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5192058682441711},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5084656476974487},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.45414990186691284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4156220555305481},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41116952896118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37575098872184753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14499375224113464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10391828417778015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09566035866737366},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-540-77090-9_53","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-77090-9_53","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-77090-9_53.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.119.9337","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.9337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://resl.icu.ac.kr/~damiano/proc/usn2007.pdf","raw_type":"text"},{"id":"pmh:oai:koasas.kaist.ac.kr:10203/13569","is_oa":false,"landing_page_url":"http://hdl.handle.net/10203/13569","pdf_url":null,"source":{"id":"https://openalex.org/S4306402435","display_name":"KAIST Institutional Repository (KAIST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157485424","host_organization_name":"Korea Advanced Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I157485424"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/978-3-540-77090-9_53","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-540-77090-9_53","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-540-77090-9_53.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322348","display_name":"Korea Science and Engineering Foundation","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2130394964.pdf","grobid_xml":"https://content.openalex.org/works/W2130394964.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W21435260","https://openalex.org/W1534304300","https://openalex.org/W1590029928","https://openalex.org/W1597504361","https://openalex.org/W1600757692","https://openalex.org/W2066796814","https://openalex.org/W2097380742","https://openalex.org/W2118371392","https://openalex.org/W2128160875","https://openalex.org/W2143521558","https://openalex.org/W2155106456","https://openalex.org/W2157017541"],"related_works":["https://openalex.org/W2389818373","https://openalex.org/W2220831889","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W4312683641","https://openalex.org/W3027421045","https://openalex.org/W2576320324","https://openalex.org/W3013312691","https://openalex.org/W2980386803","https://openalex.org/W2072263576"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
