{"id":"https://openalex.org/W2914888187","doi":"https://doi.org/10.1109/socc.2018.8618580","title":"Noise Aware Power Adaptive Partitioned Deep Networks for Mobile Visual Assist Platforms","display_name":"Noise Aware Power Adaptive Partitioned Deep Networks for Mobile Visual Assist Platforms","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2914888187","doi":"https://doi.org/10.1109/socc.2018.8618580","mag":"2914888187"},"language":"en","primary_location":{"id":"doi:10.1109/socc.2018.8618580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2018.8618580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 31st IEEE International System-on-Chip Conference (SOCC)","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/A5088080934","display_name":"Peter A. Zientara","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peter A. Zientara","raw_affiliation_strings":["The Pennsylvania State University, University Park, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, Pennsylvania","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014048994","display_name":"Jack Sampson","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack Sampson","raw_affiliation_strings":["The Pennsylvania State University, University Park, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, Pennsylvania","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101919131","display_name":"Vijaykrishnan Narayanan","orcid":"https://orcid.org/0000-0001-6266-6068"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijaykrishnan Narayanan","raw_affiliation_strings":["The Pennsylvania State University, University Park, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, Pennsylvania","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088080934"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2138233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"186","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9994999766349792,"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/T13553","display_name":"Age of Information Optimization","score":0.9994999766349792,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.8118454813957214},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5923402905464172},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5666522979736328},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5555112957954407},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5061442255973816},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44850412011146545},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4396517276763916},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4105709493160248},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36648258566856384},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.361997127532959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1332888901233673},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08725166320800781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118454813957214},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5923402905464172},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5666522979736328},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5555112957954407},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5061442255973816},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44850412011146545},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4396517276763916},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4105709493160248},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36648258566856384},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.361997127532959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1332888901233673},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08725166320800781},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc.2018.8618580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2018.8618580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 31st IEEE International System-on-Chip Conference (SOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8500000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2117539524","https://openalex.org/W2144364260","https://openalex.org/W2185943130","https://openalex.org/W2605258629","https://openalex.org/W2796347433","https://openalex.org/W2963446712","https://openalex.org/W3118608800","https://openalex.org/W4285719527","https://openalex.org/W4293584584","https://openalex.org/W6686898892","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W2092530219","https://openalex.org/W2388464034","https://openalex.org/W4223488648","https://openalex.org/W2533125852","https://openalex.org/W2140460949","https://openalex.org/W2134969820","https://openalex.org/W2105580438","https://openalex.org/W2251605416","https://openalex.org/W2560439919"],"abstract_inverted_index":{"Due":[0],"to":[1,30,51,96,132],"limitations":[2],"in":[3,39,84],"both":[4,97],"compute":[5],"power":[6,136,188],"and":[7,102,118,161,168,172,186],"battery":[8],"capacity,":[9],"many":[10,104],"use":[11],"cases":[12],"for":[13,70,107,177,190],"mobile":[14,28,68,134],"devices":[15],"often":[16],"involve":[17],"the":[18,27,41,46,49,52,61,67,85,140,162],"offload":[19,44,184],"of":[20,23,43,48,63,76,88,110,143,149,159,164,180],"some":[21],"portion":[22,109],"a":[24,71,111,121,147,157,191],"task":[25,112],"from":[26],"platform":[29],"edge":[31],"or":[32,45,74],"cloud":[33],"servers.":[34],"Where":[35],"there":[36,55],"is":[37,113],"flexibility":[38],"either":[40],"degree":[42,163],"nature":[47],"communication":[50],"remote":[53],"device,":[54],"can":[56],"be":[57],"substantial":[58],"tradeoffs":[59,83],"between":[60,166],"amount":[62],"energy":[64],"consumed":[65],"by":[66],"device":[69,135],"given":[72,192],"performance":[73],"quality":[75],"service":[77],"(QoS)":[78],"target.":[79],"We":[80,138],"investigate":[81],"these":[82],"specific":[86],"case":[87],"deep":[89],"neural":[90],"networks":[91,145],"(DNNs),":[92],"which":[93],"are":[94],"known":[95],"have":[98],"noise":[99,170,193],"tolerant":[100],"properties":[101],"present":[103,120],"partitioning":[105],"options":[106],"what":[108],"computed":[114],"locally":[115],"versus":[116],"remotely,":[117],"we":[119],"scheme":[122],"that":[123,153],"exploits":[124],"DNN":[125],"QoS":[126],"tolerance":[127],"under":[128],"reduced":[129],"transmission":[130,187],"fidelity":[131],"reduce":[133],"requirements.":[137],"characterize":[139],"error":[141],"robustness":[142],"several":[144],"as":[146,156],"function":[148,158],"cut":[150],"depth,":[151],"showing":[152],"resilience":[154],"decreases":[155],"layers":[160],"mismatch":[165],"training":[167],"operational":[169],"levels,":[171],"develop":[173],"an":[174,181],"adaptive":[175],"technique":[176],"run-time":[178],"selection":[179],"appropriate":[182],"model,":[183],"point,":[185],"level":[189],"environment.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
