{"id":"https://openalex.org/W1962460445","doi":"https://doi.org/10.1109/vtcspring.2015.7146124","title":"The Diversity and Scale Matter: Ubiquitous Transportation Mode Detection Using Single Cell Tower Information","display_name":"The Diversity and Scale Matter: Ubiquitous Transportation Mode Detection Using Single Cell Tower Information","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1962460445","doi":"https://doi.org/10.1109/vtcspring.2015.7146124","mag":"1962460445"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2015.7146124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2015.7146124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 81st Vehicular Technology Conference (VTC Spring)","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/A5024146971","display_name":"Ali Mohamed AbdelAziz","orcid":"https://orcid.org/0000-0002-5758-628X"},"institutions":[{"id":"https://openalex.org/I32619867","display_name":"Egypt-Japan University of Science and Technology","ror":"https://ror.org/02x66tk73","country_code":"EG","type":"education","lineage":["https://openalex.org/I32619867"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ali Mohamed AbdelAziz","raw_affiliation_strings":["Wireless Research Center, Egypt-Japan Univ. of Science and Tech. (E-JUST), Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless Research Center, Egypt-Japan Univ. of Science and Tech. (E-JUST), Alexandria, Egypt","institution_ids":["https://openalex.org/I32619867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008352007","display_name":"Moustafa Youssef","orcid":"https://orcid.org/0000-0002-2063-4364"},"institutions":[{"id":"https://openalex.org/I32619867","display_name":"Egypt-Japan University of Science and Technology","ror":"https://ror.org/02x66tk73","country_code":"EG","type":"education","lineage":["https://openalex.org/I32619867"]},{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Moustafa Youssef","raw_affiliation_strings":["Alexandria University, Egypt","Wireless Research Center, Egypt-Japan Univ. of Science and Tech. (E-JUST), Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alexandria University, Egypt","institution_ids":["https://openalex.org/I84524832"]},{"raw_affiliation_string":"Wireless Research Center, Egypt-Japan Univ. of Science and Tech. (E-JUST), Alexandria, Egypt","institution_ids":["https://openalex.org/I32619867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9824000000953674,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7014443278312683},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.6687871217727661},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6673928499221802},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.6393756866455078},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5707257986068726},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.463306725025177},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.45448067784309387},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.41269126534461975},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.375852108001709},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24865996837615967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18100804090499878},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12305334210395813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7014443278312683},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6687871217727661},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6673928499221802},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6393756866455078},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5707257986068726},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.463306725025177},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.45448067784309387},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.41269126534461975},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.375852108001709},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24865996837615967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18100804090499878},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12305334210395813},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2015.7146124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2015.7146124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 81st Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1581198862","https://openalex.org/W1809001740","https://openalex.org/W1974419917","https://openalex.org/W1983363341","https://openalex.org/W1986324410","https://openalex.org/W1990603581","https://openalex.org/W1992343604","https://openalex.org/W1997446368","https://openalex.org/W2020642377","https://openalex.org/W2028719976","https://openalex.org/W2038327679","https://openalex.org/W2048650461","https://openalex.org/W2055269077","https://openalex.org/W2083970834","https://openalex.org/W2101507453","https://openalex.org/W2107951235","https://openalex.org/W2108328714","https://openalex.org/W2131147042","https://openalex.org/W2144169341","https://openalex.org/W2144580411","https://openalex.org/W2147854123","https://openalex.org/W2149891651","https://openalex.org/W2156167000","https://openalex.org/W2156221064","https://openalex.org/W2162555816","https://openalex.org/W2166859923","https://openalex.org/W3103873243","https://openalex.org/W6634833582","https://openalex.org/W6662917592"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W4287122200","https://openalex.org/W2040913503","https://openalex.org/W3166845860","https://openalex.org/W2742744817","https://openalex.org/W3202472720","https://openalex.org/W2393010104"],"abstract_inverted_index":{"Detecting":[0],"the":[1,22,28,37,86,102,113,124,130,161,169,185,196,203,250,258],"transportation":[2,23,95,273],"mode":[3,24,96],"of":[4,13,18,59,198,212,217,242,271],"a":[5,10,16,56,94,199,268],"user":[6,87],"is":[7,111],"important":[8],"for":[9,80],"wide":[11,269],"range":[12],"applications.":[14,274],"While":[15],"number":[17],"recent":[19],"systems":[20],"addressed":[21],"detection":[25,97,139],"problem":[26],"using":[27,214,228,256],"ubiquitous":[29],"mobile":[30],"phones,":[31],"these":[32,46],"studies":[33],"either":[34],"leverage":[35],"GPS,":[36],"inertial":[38],"sensors,":[39],"and/or":[40,82],"multiple":[41,149],"cell":[42,69,105,126,171,260],"towers":[43],"information.":[44],"However,":[45],"different":[47,174,193,229],"phone":[48,103,114],"sensors":[49],"have":[50],"high":[51,138],"energy":[52],"consumption,":[53],"limited":[54,143],"to":[55,151,208,266],"small":[57],"subset":[58],"phones":[60,63,65,231],"(e.g.":[61,77],"high-end":[62],"or":[64],"that":[66,100,112,183,233],"support":[67],"neighbouring":[68],"tower":[70,127,172,261],"information),":[71],"cannot":[72],"work":[73,83],"in":[74,247],"certain":[75],"areas":[76],"inside":[78],"tunnels":[79],"GPS),":[81],"only":[84,257],"from":[85,122,134,159,168],"side.":[88],"In":[89],"this":[90,142],"paper,":[91],"we":[92,180],"present":[93],"system,":[98],"MonoSense,":[99],"leverages":[101,146],"serving":[104,125,170,259],"information":[106,166,194],"only.":[107],"The":[108],"basic":[109],"idea":[110],"speed":[115],"can":[116,191,235],"be":[117],"correlated":[118],"with":[119,141],"features":[120,158],"extracted":[121],"both":[123,160,184],"ID":[128],"and":[129,163,187,206,223,240,244,253],"received":[131],"signal":[132],"strength":[133],"it.":[135],"To":[136],"achieve":[137,236],"accuracy":[140],"information,":[144,262],"MonoSense":[145,156,213,264],"diversity":[147],"along":[148],"axes":[150],"extract":[152],"novel":[153],"features.":[154],"Specifically,":[155],"extracts":[157],"time":[162],"frequency":[164],"domain":[165],"available":[167],"over":[173],"sliding":[175],"widow":[176],"sizes.":[177],"More":[178],"importantly,":[179],"show":[181],"also":[182],"logarithmic":[186],"linear":[188],"RSS":[189],"scales":[190],"provide":[192],"about":[195],"movement":[197],"phone,":[200],"further":[201],"enriching":[202],"feature":[204],"space":[205],"leading":[207],"higher":[209],"accuracy.":[210],"Evaluation":[211],"135":[215],"hours":[216],"cellular":[218],"traces":[219],"covering":[220],"485":[221],"km":[222],"collected":[224],"by":[225],"four":[226],"users":[227],"Android":[230],"shows":[232],"it":[234],"an":[237],"average":[238],"precision":[239],"recall":[241],"89.26%":[243],"89.84%":[245],"respectively":[246],"differentiating":[248],"between":[249],"stationary,":[251],"walking,":[252],"driving":[254],"modes":[255],"highlighting":[263],"ability":[265],"enable":[267],"set":[270],"intelligent":[272]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
