{"id":"https://openalex.org/W3118602635","doi":"https://doi.org/10.1145/3432261.3439865","title":"Toward Data-Adaptable TinyML using Model Partial Replacement for Resource Frugal Edge Device","display_name":"Toward Data-Adaptable TinyML using Model Partial Replacement for Resource Frugal Edge Device","publication_year":2021,"publication_date":"2021-01-14","ids":{"openalex":"https://openalex.org/W3118602635","doi":"https://doi.org/10.1145/3432261.3439865","mag":"3118602635"},"language":"en","primary_location":{"id":"doi:10.1145/3432261.3439865","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3432261.3439865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Conference on High Performance Computing in Asia-Pacific Region","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/A5023061567","display_name":"Jisu Kwon","orcid":"https://orcid.org/0000-0002-0433-9533"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jisu Kwon","raw_affiliation_strings":["Kyungpook National University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030304824","display_name":"Daejin Park","orcid":"https://orcid.org/0000-0002-5560-873X"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daejin Park","raw_affiliation_strings":["Kyungpook National University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023061567"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.7685,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72330065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9976999759674072,"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":0.9976999759674072,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/firmware","display_name":"Firmware","score":0.8913547992706299},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.8546034097671509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7944185733795166},{"id":"https://openalex.org/keywords/porting","display_name":"Porting","score":0.7539892196655273},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6668335199356079},{"id":"https://openalex.org/keywords/microcode","display_name":"Microcode","score":0.4682294726371765},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4661380648612976},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4473181366920471},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4282532334327698},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4155437648296356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40020260214805603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3347780406475067},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.31388211250305176},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.2852935791015625},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10676494240760803}],"concepts":[{"id":"https://openalex.org/C67212190","wikidata":"https://www.wikidata.org/wiki/Q104851","display_name":"Firmware","level":2,"score":0.8913547992706299},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.8546034097671509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944185733795166},{"id":"https://openalex.org/C106251023","wikidata":"https://www.wikidata.org/wiki/Q851989","display_name":"Porting","level":3,"score":0.7539892196655273},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6668335199356079},{"id":"https://openalex.org/C22174128","wikidata":"https://www.wikidata.org/wiki/Q175869","display_name":"Microcode","level":2,"score":0.4682294726371765},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4661380648612976},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4473181366920471},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4282532334327698},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4155437648296356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40020260214805603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3347780406475067},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.31388211250305176},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2852935791015625},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10676494240760803},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3432261.3439865","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3432261.3439865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Conference on High Performance Computing in Asia-Pacific Region","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3067862503","https://openalex.org/W4240891269"],"related_works":["https://openalex.org/W1966431236","https://openalex.org/W608147619","https://openalex.org/W1984676852","https://openalex.org/W2068967940","https://openalex.org/W270731569","https://openalex.org/W4252104358","https://openalex.org/W2062160093","https://openalex.org/W2025981307","https://openalex.org/W1998626163","https://openalex.org/W2056006243"],"abstract_inverted_index":{"Demand":[0],"to":[1,39,51,121],"perform":[2],"machine":[3],"learning":[4,118],"(ML)":[5],"tasks":[6],"in":[7,32,67,89],"microcontroller":[8],"unit":[9],"(MCU)-based":[10],"edge":[11],"devices":[12],"instead":[13,124],"of":[14,57,83,97,112,125],"the":[15,40,58,63,68,72,81,87,90,95,98,102,110],"server,":[16],"that":[17,28,35,48,115,130],"have":[18],"limited":[19],"resources,":[20],"is":[21],"gradually":[22],"increasing.":[23],"TinyML":[24],"framework":[25],"makes":[26],"possible":[27],"creating":[29],"ML":[30,64],"firmware":[31,65],"a":[33,46,75,113,127],"language":[34],"can":[36],"be":[37],"ported":[38],"MCU.":[41,69],"This":[42],"paper":[43],"aims":[44],"at":[45],"technique":[47,114],"flexibly":[49],"responds":[50],"various":[52],"inputs":[53],"by":[54],"partial":[55],"replacement":[56],"network":[59,88],"model":[60,99,129],"part":[61],"among":[62],"operating":[66],"Before":[70],"implementing":[71],"proposed":[73],"technique,":[74],"preliminary":[76],"experiment":[77],"was":[78],"performed.":[79],"As":[80],"number":[82],"words":[84],"trained":[85],"on":[86],"speech":[91],"command":[92],"dataset":[93],"increases,":[94,100],"size":[96],"but":[101],"evaluation":[103],"accuracy":[104],"decreases.":[105],"The":[106],"experimental":[107],"results":[108],"show":[109],"possibility":[111],"replaces":[116],"small":[117],"models":[119],"corresponded":[120],"each":[122],"domain,":[123],"using":[126],"huge":[128],"trains":[131],"all":[132],"input":[133],"data":[134],"variations":[135],"for":[136],"different":[137],"domains.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
