{"id":"https://openalex.org/W3017144562","doi":"https://doi.org/10.1109/icaiic48513.2020.9064970","title":"Computational Offloading of Convolutional Neural Network on a Smart Watch","display_name":"Computational Offloading of Convolutional Neural Network on a Smart Watch","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3017144562","doi":"https://doi.org/10.1109/icaiic48513.2020.9064970","mag":"3017144562"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9064970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9064970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5035716630","display_name":"Imran Zualkernan","orcid":"https://orcid.org/0000-0002-1048-5633"},"institutions":[{"id":"https://openalex.org/I199440890","display_name":"American University of Sharjah","ror":"https://ror.org/001g2fj96","country_code":"AE","type":"education","lineage":["https://openalex.org/I199440890"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Imran A. Zualkernan","raw_affiliation_strings":["Department of Computer Science and Engineering, American University of Sharjah, Sharjah, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, American University of Sharjah, Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I199440890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038240322","display_name":"Mohammed Towheed","orcid":null},"institutions":[{"id":"https://openalex.org/I199440890","display_name":"American University of Sharjah","ror":"https://ror.org/001g2fj96","country_code":"AE","type":"education","lineage":["https://openalex.org/I199440890"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohammed Towheed","raw_affiliation_strings":["Department of Computer Science and Engineering, American University of Sharjah, Sharjah, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, American University of Sharjah, Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I199440890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035716630"],"corresponding_institution_ids":["https://openalex.org/I199440890"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54688445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"203","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9940000176429749,"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.848206639289856},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.846901535987854},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7338716983795166},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6800962686538696},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6453746557235718},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6165012121200562},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5920160412788391},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5698568820953369},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5215518474578857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4518248438835144},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4295156002044678},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34650588035583496},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2816845774650574},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.14278334379196167},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.10023069381713867},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09274047613143921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.848206639289856},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.846901535987854},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7338716983795166},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6800962686538696},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6453746557235718},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6165012121200562},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5920160412788391},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5698568820953369},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5215518474578857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4518248438835144},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4295156002044678},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34650588035583496},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2816845774650574},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.14278334379196167},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.10023069381713867},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09274047613143921},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9064970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9064970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1904701389","https://openalex.org/W1947722389","https://openalex.org/W1983100643","https://openalex.org/W2005741801","https://openalex.org/W2011048802","https://openalex.org/W2135891192","https://openalex.org/W2201408361","https://openalex.org/W2206426646","https://openalex.org/W2215053149","https://openalex.org/W2289846183","https://openalex.org/W2337546824","https://openalex.org/W2342865424","https://openalex.org/W2512118262","https://openalex.org/W2550670001","https://openalex.org/W2591143896","https://openalex.org/W2597821922","https://openalex.org/W2602487549","https://openalex.org/W2607326971","https://openalex.org/W2773100222","https://openalex.org/W2795728000","https://openalex.org/W2797583228","https://openalex.org/W2886955199","https://openalex.org/W2891950255","https://openalex.org/W4241637638"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3013760193","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3162668736","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748"],"abstract_inverted_index":{"Smartwatches":[0],"have":[1],"improved":[2],"significantly":[3],"in":[4,69,125],"terms":[5,126],"of":[6,25,61,72,127],"the":[7,29,38,42,46,70,98,121,137,157,163],"processing":[8,50],"resources":[9],"and":[10,100,110,132,146],"are":[11,115],"a":[12,23,33,58,65,73,78,118],"potential":[13],"candidate":[14],"for":[15,19,49,64,144,150,180],"using":[16,77,106,166,176],"deep":[17,34],"learning":[18],"applications":[20],"relying":[21],"on":[22,37,84,97,120],"host":[24],"supported":[26],"sensors.":[27],"However,":[28],"tradeoff":[30],"between":[31],"running":[32,117],"neural":[35],"network":[36],"smartwatch":[39,68],"verses":[40],"sending":[41],"sensor":[43],"data":[44,88],"to":[45,93],"back-end":[47],"server":[48],"is":[51,123],"not":[52],"well":[53],"understood.":[54],"This":[55],"paper":[56],"presents":[57],"case":[59],"study":[60],"these":[62],"tradeoffs":[63],"Samsung":[66],"S3":[67],"context":[71],"word":[74],"recognition":[75],"task":[76],"Convolutional":[79],"Neural":[80],"Network":[81],"(CNN)":[82],"based":[83],"Google's":[85],"Speech":[86],"Command":[87],"set.":[89],"Tensorflow.js":[90],"was":[91,140,161,172],"used":[92],"do":[94],"edge":[95],"inference":[96,130,138],"watch":[99,122],"under":[101],"various":[102],"computational":[103,153,181],"offloading":[104],"conditions":[105],"2G,":[107],"Edge,":[108],"3G":[109,177],"WiFi":[111,151,179],"profiles.":[112],"The":[113],"results":[114],"that":[116],"CNN":[119],"superior":[124],"memory,":[128],"CPU,":[129],"time,":[131],"battery":[133,158],"depletion.":[134],"In":[135,155],"specific,":[136],"time":[139],"3":[141],"times":[142,148],"longer":[143,149],"2G":[145,167],"1.6":[147],"with":[152],"offloading.":[154,182],"addition,":[156],"depletion":[159],"rate":[160],"about":[162],"same":[164],"when":[165,175],"or":[168,178],"Edge":[169],"Lossy":[170],"but":[171],"60-70%":[173],"worse":[174]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
