{"id":"https://openalex.org/W3095752301","doi":"https://doi.org/10.1145/3417313.3429379","title":"Towards Objection Detection Under IoT Resource Constraints","display_name":"Towards Objection Detection Under IoT Resource Constraints","publication_year":2020,"publication_date":"2020-11-05","ids":{"openalex":"https://openalex.org/W3095752301","doi":"https://doi.org/10.1145/3417313.3429379","mag":"3095752301"},"language":"en","primary_location":{"id":"doi:10.1145/3417313.3429379","doi":"https://doi.org/10.1145/3417313.3429379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3417313.3429379","pdf_url":null,"source":{"id":"https://openalex.org/S7407121561","display_name":"International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things","raw_type":"proceedings-article"},"volume":null,"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/A5011915615","display_name":"Colin Samplawski","orcid":"https://orcid.org/0000-0001-8486-1673","observed_orcids":["https://orcid.org/0000-0001-8486-1673"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin Samplawski","raw_affiliation_strings":["University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876397","display_name":"Jin Huang","orcid":"https://orcid.org/0009-0003-7343-108X","observed_orcids":["https://orcid.org/0009-0003-7343-108X"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Huang","raw_affiliation_strings":["University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074602782","display_name":"Deepak Ganesan","orcid":"https://orcid.org/0000-0003-2762-9194","observed_orcids":["https://orcid.org/0000-0003-2762-9194"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepak Ganesan","raw_affiliation_strings":["University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023142437","display_name":"Benjamin M. Marlin","orcid":"https://orcid.org/0000-0002-2626-3410","observed_orcids":["https://orcid.org/0000-0002-2626-3410"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin M. Marlin","raw_affiliation_strings":["University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":1.0486,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74258022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9526000022888184,"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":0.9526000022888184,"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":0.04430000111460686,"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/T13038","display_name":"Internet of Things and AI","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/iot-edge-computing","display_name":"IoT edge computing","score":0.7239999771118164},{"id":"https://openalex.org/keywords/bandwidth-constraints","display_name":"bandwidth constraints","score":0.7080000042915344},{"id":"https://openalex.org/keywords/model-partitioning","display_name":"model partitioning","score":0.7689999938011169},{"id":"https://openalex.org/keywords/progressive-transmission","display_name":"progressive transmission","score":0.8180000185966492},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"lossy compression","score":0.6899999976158142},{"id":"https://openalex.org/keywords/cloud-edge-collaboration","display_name":"cloud-edge collaboration","score":0.5600000023841858},{"id":"https://openalex.org/keywords/communication-overhead","display_name":"communication overhead","score":0.5139999985694885},{"id":"https://openalex.org/keywords/resource-constrained-devices","display_name":"resource-constrained devices","score":0.625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309516429901123},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4995765686035156},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.49738314747810364},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3222739100456238},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23361364006996155},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09543940424919128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3417313.3429379","doi":"https://doi.org/10.1145/3417313.3429379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3417313.3429379","pdf_url":null,"source":{"id":"https://openalex.org/S7407121561","display_name":"International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.7207000255584717}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W170967611","https://openalex.org/W1483870316","https://openalex.org/W1536680647","https://openalex.org/W2005708641","https://openalex.org/W2031489346","https://openalex.org/W2047826381","https://openalex.org/W2068730032","https://openalex.org/W2088692353","https://openalex.org/W2095705004","https://openalex.org/W2102605133","https://openalex.org/W2130306094","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2294370754","https://openalex.org/W2605258629","https://openalex.org/W2752037867","https://openalex.org/W2860338957","https://openalex.org/W2886851211","https://openalex.org/W2896006880","https://openalex.org/W2896457183","https://openalex.org/W2963163009","https://openalex.org/W2970523170","https://openalex.org/W3088405768","https://openalex.org/W3106250896","https://openalex.org/W3214102110"],"related_works":["https://openalex.org/W3046505290","https://openalex.org/W2942140333","https://openalex.org/W7148419451","https://openalex.org/W2991478576","https://openalex.org/W4377971462","https://openalex.org/W4403123660","https://openalex.org/W4224114181","https://openalex.org/W4226006454","https://openalex.org/W3134521254","https://openalex.org/W4287019331"],"abstract_inverted_index":{"We":[0,12,171,186],"consider":[1,13,111],"deploying":[2],"an":[3,71],"object":[4,58],"detection":[5,74,182,195,209],"pipeline":[6],"over":[7],"a":[8,14,17,25,78,84,123,132,167,181,206],"heterogeneous":[9],"IoT":[10,19],"network.":[11],"setting":[15],"where":[16],"camera-equipped":[18],"edge":[20,43],"node":[21,44],"communicates":[22],"wirelessly":[23],"with":[24],"cloud":[26,161,197,215],"server.":[27],"In":[28],"many":[29],"real-world":[30],"domains,":[31],"the":[32,42,65,112,118,135,142,157,160,173],"bandwidth":[33],"of":[34,92,114,126,175,180,217],"this":[35,176],"connection":[36],"is":[37,149],"constrained":[38],"and":[39,87,165,193],"variable,":[40],"while":[41],"may":[45],"have":[46],"insufficient":[47],"compute":[48],"resources":[49],"to":[50,104,117,152,163,188,214],"perform":[51,194],"complex":[52],"machine":[53],"learning":[54],"tasks":[55],"such":[56],"as":[57,139,141],"detection.":[59],"Building":[60],"on":[61],"prior":[62],"work":[63],"in":[64,102,178],"image":[66],"classification":[67],"space,":[68],"we":[69,110],"propose":[70],"approach":[72,177,204],"for":[73,134,159],"that":[75,130,190,202],"first":[76],"partitions":[77],"deep":[79],"neural":[80],"network":[81,107],"model":[82,148],"at":[83],"given":[85],"layer":[86],"then":[88],"applies":[89],"progressive":[90],"transmission":[91],"intermediate":[93],"convolutional":[94],"filter":[95,119],"maps.":[96],"This":[97],"capability":[98],"can":[99],"be":[100],"exercised":[101],"response":[103],"dynamically":[105],"varying":[106],"bandwidth.":[108],"Further,":[109],"application":[113],"lossy":[115,143],"compression":[116,128,144],"maps":[120],"themselves,":[121],"exposing":[122],"broader":[124],"set":[125],"communication":[127],"trade-offs":[129],"includes":[131],"choice":[133],"representation":[136],"size":[137,169],"transmitted":[138],"well":[140],"level":[145],"applied.":[146],"The":[147],"trained":[150],"specifically":[151],"optimize":[153],"distributed":[154],"operation":[155],"including":[156],"need":[158],"stage":[162],"decode":[164],"process":[166],"variable":[168],"representation.":[170],"investigate":[172],"performance":[174],"terms":[179],"accuracy-communication":[183,210],"cost":[184,211],"trade-off.":[185],"compare":[187],"approaches":[189],"compress":[191],"images":[192],"using":[196],"offload.":[198],"Our":[199],"results":[200],"show":[201],"our":[203],"achieves":[205],"significantly":[207],"better":[208],"trade-off":[212],"compared":[213],"offload":[216],"JPEG":[218],"compressed":[219],"images.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2020-11-09T00:00:00"}
