{"id":"https://openalex.org/W2897186837","doi":"https://doi.org/10.1587/transcom.2018sep0013","title":"A Highly Accurate Transportation Mode Recognition Using Mobile Communication Quality","display_name":"A Highly Accurate Transportation Mode Recognition Using Mobile Communication Quality","publication_year":2018,"publication_date":"2018-10-14","ids":{"openalex":"https://openalex.org/W2897186837","doi":"https://doi.org/10.1587/transcom.2018sep0013","mag":"2897186837"},"language":"en","primary_location":{"id":"doi:10.1587/transcom.2018sep0013","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transcom.2018sep0013","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","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/A5028239562","display_name":"Wataru Kawakami","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Wataru KAWAKAMI","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102334884","display_name":"Kenji Kanai","orcid":"https://orcid.org/0000-0003-4134-4582"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji KANAI","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971516","display_name":"Bo Wei","orcid":"https://orcid.org/0000-0001-5869-4920"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bo WEI","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002294739","display_name":"Jiro Katto","orcid":"https://orcid.org/0000-0002-1671-2614"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiro KATTO","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028239562"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46038586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"E102.B","issue":"4","first_page":"741","last_page":"750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.942799985408783,"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/T10860","display_name":"Speech and Audio Processing","score":0.942799985408783,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9300000071525574,"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/computer-science","display_name":"Computer science","score":0.8516734838485718},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6781854033470154},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6210625171661377},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6155273914337158},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5945985913276672},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5641043186187744},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.494820773601532},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.47205764055252075},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.45218557119369507},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4387800395488739},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41521164774894714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31475895643234253},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23210307955741882},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.16444215178489685}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8516734838485718},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6781854033470154},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6210625171661377},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6155273914337158},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5945985913276672},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5641043186187744},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.494820773601532},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.47205764055252075},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.45218557119369507},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4387800395488739},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41521164774894714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31475895643234253},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23210307955741882},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.16444215178489685},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transcom.2018sep0013","is_oa":false,"landing_page_url":"https://doi.org/10.1587/transcom.2018sep0013","pdf_url":null,"source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1577996776","https://openalex.org/W1581198862","https://openalex.org/W1972916106","https://openalex.org/W1976552421","https://openalex.org/W2022749020","https://openalex.org/W2050803173","https://openalex.org/W2054780155","https://openalex.org/W2156167000","https://openalex.org/W2247209766","https://openalex.org/W2334294332","https://openalex.org/W2742935336","https://openalex.org/W2781058802","https://openalex.org/W2784204938","https://openalex.org/W2785453110","https://openalex.org/W2790405897","https://openalex.org/W2792998932","https://openalex.org/W2800811411","https://openalex.org/W2897227770","https://openalex.org/W2898320034","https://openalex.org/W2997214666"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2009888974","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3023105672","https://openalex.org/W2355539379","https://openalex.org/W4231410700","https://openalex.org/W4237770763","https://openalex.org/W2053352781"],"abstract_inverted_index":{"To":[0],"recognize":[1],"transportation":[2,13,80,124],"modes":[3,14,81,125],"without":[4],"any":[5],"additional":[6],"sensor":[7],"devices,":[8],"we":[9,35,67],"demonstrate":[10],"that":[11,122],"the":[12,23,55,75,100,140],"can":[15,126],"be":[16,127],"recognized":[17,128],"from":[18],"communication":[19,134],"quality":[20,135],"factors.":[21],"In":[22,64],"demonstration,":[24],"instead":[25],"of":[26,142],"using":[27,133],"global":[28],"positioning":[29],"system":[30],"(GPS)":[31],"and":[32,44,93,97,114],"accelerometer":[33,143],"sensors,":[34],"collect":[36,74],"mobile":[37,58],"TCP":[38],"throughputs,":[39],"received-signal":[40],"strength":[41],"indicators":[42],"(RSSIs),":[43],"cellular":[45],"base-station":[46],"IDs":[47],"(Cell":[48],"IDs)":[49],"through":[50],"in-line":[51],"network":[52,117],"measurement":[53],"when":[54],"user":[56],"enjoys":[57],"services,":[59],"such":[60],"as":[61,137,139],"video":[62],"streaming.":[63],"accuracy":[65,131],"evaluations,":[66],"conduct":[68],"two":[69],"different":[70],"field":[71],"experiments":[72],"to":[73],"data":[76],"in":[77],"six":[78],"typical":[79],"(static,":[82],"walking,":[83],"riding":[84,87,90,94],"a":[85,88,91,95,104],"bicycle,":[86],"bus,":[89],"train":[92],"subway),":[96],"then":[98],"construct":[99],"classifiers":[101],"by":[102,132],"applying":[103],"support-vector":[105],"machine":[106],"(SVM),":[107],"k-nearest":[108],"neighbor":[109],"(k-NN),":[110],"random":[111],"forest":[112],"(RF),":[113],"convolutional":[115],"neural":[116],"(CNN).":[118],"Our":[119],"results":[120],"show":[121],"these":[123],"with":[129],"high":[130],"factors":[136],"well":[138],"use":[141],"sensors.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}