{"id":"https://openalex.org/W4398186412","doi":"https://doi.org/10.1145/3605098.3635965","title":"High Energy Efficiency Mobile AR Applications under Adaptive Object Detection Engine and Self-learning Governor","display_name":"High Energy Efficiency Mobile AR Applications under Adaptive Object Detection Engine and Self-learning Governor","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4398186412","doi":"https://doi.org/10.1145/3605098.3635965"},"language":"en","primary_location":{"id":"doi:10.1145/3605098.3635965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605098.3635965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing","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/A5068586895","display_name":"Hung-Cheng CHEN","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"He-Ru Chen","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038728128","display_name":"Kun-Sheng Liu","orcid":"https://orcid.org/0000-0001-9127-141X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Sheng Liu","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013832436","display_name":"Ya-Shu Chen","orcid":"https://orcid.org/0000-0002-8698-1318"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ya-Shu Chen","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030810549","display_name":"H. Yang","orcid":"https://orcid.org/0000-0003-3029-3556"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiu-Yi Ou Yang","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068586895"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.3434,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56440613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1504","last_page":"1510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9912999868392944,"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":0.8139538764953613},{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.675154983997345},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5953080654144287},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5794031620025635},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5662630796432495},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5307129621505737},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5037781596183777},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.45304301381111145},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4250224828720093},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.41262122988700867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3544812798500061},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12401673197746277},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11084252595901489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8139538764953613},{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.675154983997345},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5953080654144287},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5794031620025635},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5662630796432495},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5307129621505737},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5037781596183777},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45304301381111145},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4250224828720093},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.41262122988700867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3544812798500061},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12401673197746277},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11084252595901489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605098.3635965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605098.3635965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G7294409782","display_name":null,"funder_award_id":"111-2628-E-011-001-MY2","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2126302311","https://openalex.org/W2144116465","https://openalex.org/W2608659040","https://openalex.org/W2742405391","https://openalex.org/W2792220137","https://openalex.org/W2900140871","https://openalex.org/W2900520822","https://openalex.org/W2913507876","https://openalex.org/W2923578873","https://openalex.org/W3009726900","https://openalex.org/W3047122373","https://openalex.org/W3107995663","https://openalex.org/W4220663406","https://openalex.org/W4281732268","https://openalex.org/W4387914826"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W2957704286","https://openalex.org/W2028936041","https://openalex.org/W2179141964","https://openalex.org/W1966123461"],"abstract_inverted_index":{"Augmented":[0],"reality":[1,44],"(AR)":[2],"applications":[3],"aim":[4],"to":[5,27,56,114],"enhance":[6],"user":[7,63],"interactions":[8],"by":[9,49],"integrating":[10],"virtual":[11],"and":[12,72,83,96,100],"real":[13,107],"worlds,":[14],"leveraging":[15],"deep":[16,33],"learning.":[17],"However,":[18],"implementing":[19],"AR":[20],"on":[21,39,106],"mobile":[22,42],"devices":[23],"is":[24],"challenging":[25],"due":[26],"the":[28,62,86],"high":[29],"computational":[30],"demands":[31],"of":[32],"learning,":[34],"causing":[35],"substantial":[36],"energy":[37,89,111],"drain":[38],"batteries.":[40],"Server-assisted":[41],"augmented":[43],"(MAR)":[45],"systems":[46],"address":[47],"this":[48],"offloading":[50],"computation,":[51],"but":[52],"network":[53,81],"delays":[54],"lead":[55],"worst":[57],"object":[58,69],"detection":[59,70],"accuracy,":[60],"degrading":[61],"experience.":[64],"We":[65],"propose":[66],"an":[67],"adaptive":[68],"engine":[71,77],"self-learning":[73,92],"governor":[74,87],"framework.":[75],"The":[76],"maintains":[78],"accuracy":[79],"across":[80],"conditions":[82],"scenes,":[84],"while":[85],"optimizes":[88],"efficiency":[90],"via":[91],"models,":[93],"dynamic":[94],"voltage":[95],"frequency":[97],"scaling":[98],"(DVFS),":[99],"thread":[101],"management.":[102],"Our":[103],"framework":[104],"implemented":[105],"platforms,":[108],"significantly":[109],"reduces":[110],"consumption":[112],"compared":[113],"state-of-the-art":[115],"approaches.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
