{"id":"https://openalex.org/W2771756038","doi":"https://doi.org/10.1109/fie.2017.8190437","title":"Signal processing and machine learning concepts using the reflections echolocation app","display_name":"Signal processing and machine learning concepts using the reflections echolocation app","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771756038","doi":"https://doi.org/10.1109/fie.2017.8190437","mag":"2771756038"},"language":"en","primary_location":{"id":"doi:10.1109/fie.2017.8190437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie.2017.8190437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Frontiers in Education Conference (FIE)","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/A5085141819","display_name":"Mahesh K. Banavar","orcid":"https://orcid.org/0000-0002-3916-7137"},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahesh K. Banavar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, USA","institution_ids":["https://openalex.org/I16944753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047792016","display_name":"Houchao Gan","orcid":"https://orcid.org/0009-0005-8736-2366"},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houchao Gan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, USA","institution_ids":["https://openalex.org/I16944753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042813087","display_name":"Benjamin Robistow","orcid":null},"institutions":[{"id":"https://openalex.org/I16944753","display_name":"Clarkson University","ror":"https://ror.org/03rwgpn18","country_code":"US","type":"education","lineage":["https://openalex.org/I16944753"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Robistow","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, USA","institution_ids":["https://openalex.org/I16944753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074371899","display_name":"Andreas Spanias","orcid":"https://orcid.org/0000-0003-0306-9348"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Spanias","raw_affiliation_strings":["SenSIP Center, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"SenSIP Center, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085141819"],"corresponding_institution_ids":["https://openalex.org/I16944753"],"apc_list":null,"apc_paid":null,"fwci":0.5734,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70647041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11283","display_name":"Experimental Learning in Engineering","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.7109053134918213},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.6252354383468628},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5628423094749451},{"id":"https://openalex.org/keywords/outreach","display_name":"Outreach","score":0.5514225363731384},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5049832463264465},{"id":"https://openalex.org/keywords/human-echolocation","display_name":"Human echolocation","score":0.49642878770828247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4868308901786804},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4497508704662323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44321489334106445},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39446836709976196},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.36636126041412354},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3455701470375061},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33311688899993896},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.10608664155006409},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.09626573324203491}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109053134918213},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6252354383468628},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5628423094749451},{"id":"https://openalex.org/C2781400479","wikidata":"https://www.wikidata.org/wiki/Q11640","display_name":"Outreach","level":2,"score":0.5514225363731384},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5049832463264465},{"id":"https://openalex.org/C167954536","wikidata":"https://www.wikidata.org/wiki/Q1920844","display_name":"Human echolocation","level":2,"score":0.49642878770828247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4868308901786804},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4497508704662323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44321489334106445},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39446836709976196},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.36636126041412354},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3455701470375061},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33311688899993896},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.10608664155006409},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.09626573324203491},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fie.2017.8190437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie.2017.8190437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5799999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W242289033","https://openalex.org/W1564966183","https://openalex.org/W1577497515","https://openalex.org/W2006561224","https://openalex.org/W2101515369","https://openalex.org/W2110262927","https://openalex.org/W2126177867","https://openalex.org/W2133118068","https://openalex.org/W2137100320","https://openalex.org/W2187343189","https://openalex.org/W2499647611","https://openalex.org/W2534225164","https://openalex.org/W2696017426","https://openalex.org/W2780538559","https://openalex.org/W2963114452","https://openalex.org/W6631752087"],"related_works":["https://openalex.org/W4210376836","https://openalex.org/W4210925376","https://openalex.org/W1633995705","https://openalex.org/W2596211269","https://openalex.org/W2360384790","https://openalex.org/W4232397253","https://openalex.org/W4235913033","https://openalex.org/W2109284253","https://openalex.org/W2039966832","https://openalex.org/W2359819289"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,41,50,55,61,68,163,174],"use":[4,88],"of":[5,44,165],"a":[6,31],"space":[7,47,69],"usage":[8],"determination":[9],"algorithm":[10],"for":[11,73],"teaching":[12],"signal":[13,33,147],"processing":[14,148],"and":[15,23,65,85,96,114,116,118,125,127,138,149,156],"machine":[16,150],"learning":[17],"concepts":[18,89,100,144],"to":[19,134,141,146,161],"undergraduate":[20,105],"electrical":[21],"engineering":[22],"computer":[24],"science":[25],"students.":[26],"An":[27],"Android":[28],"device":[29,39],"transmits":[30],"high-frequency":[32],"in":[34,104],"an":[35],"unknown":[36,46],"space.":[37],"The":[38,83,130],"determines":[40,66],"reflective":[42],"properties":[43],"this":[45,59,166],"by":[48],"analyzing":[49],"received":[51],"signal.":[52],"Based":[53],"on":[54],"features":[56],"extracted":[57],"from":[58],"signal,":[60],"app":[62,131],"measures":[63],"distances":[64],"how":[67],"can":[70],"be":[71,171],"utilized":[72],"various":[74],"application":[75,84],"such":[76,90,107,121],"as":[77,108,122],"libraries,":[78],"conference":[79],"rooms,":[80],"or":[81],"laboratories.":[82],"related":[86,145],"algorithms":[87],"cross-correlation,":[91],"feature":[92],"extraction,":[93],"learning/training":[94],"algorithms,":[95],"discrimination/decision":[97],"making.":[98],"These":[99],"are":[101,159],"typically":[102],"covered":[103],"classes":[106,120],"Digital":[109],"Signal":[110],"Processing,":[111],"Control":[112],"Systems,":[113],"Probability":[115],"Statistics;":[117],"graduate-level":[119],"Pattern":[123],"Recognition":[124],"Detection":[126],"Estimation":[128],"Theory.":[129],"is":[132],"used":[133],"create":[135],"compelling":[136],"demonstrations":[137],"immersive":[139],"exercises":[140],"teach":[142],"basic":[143],"learning.":[151],"Undergraduate":[152],"student":[153],"hands-on":[154],"workshops":[155],"outreach":[157],"activities":[158],"planned":[160],"evaluate":[162],"effectiveness":[164],"approach.":[167],"Assessment":[168],"results":[169],"will":[170],"presented":[172],"at":[173],"conference.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}