{"id":"https://openalex.org/W4293261737","doi":"https://doi.org/10.1145/3489517.3530489","title":"EcoFusion","display_name":"EcoFusion","publication_year":2022,"publication_date":"2022-07-10","ids":{"openalex":"https://openalex.org/W4293261737","doi":"https://doi.org/10.1145/3489517.3530489"},"language":"en","primary_location":{"id":"doi:10.1145/3489517.3530489","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3489517.3530489","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3489517.3530489","source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3489517.3530489","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077091228","display_name":"Arnav Vaibhav Malawade","orcid":"https://orcid.org/0000-0002-4974-1622"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arnav Vaibhav Malawade","raw_affiliation_strings":["University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032801955","display_name":"Trier Mortlock","orcid":"https://orcid.org/0000-0003-2074-1722"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trier Mortlock","raw_affiliation_strings":["University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055814180","display_name":"Mohammad Abdullah Al Faruque","orcid":"https://orcid.org/0000-0002-5390-0497"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Abdullah Al Faruque","raw_affiliation_strings":["University of California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2803209242"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"481","last_page":"486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9955999851226807,"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":0.9952999949455261,"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":0.7920178174972534},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.7294386625289917},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6303949952125549},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5994539856910706},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5917787551879883},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5166759490966797},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4766745865345001},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4687986969947815},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.45725128054618835},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.45064929127693176},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4145393669605255},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3792434632778168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3260440230369568},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12516048550605774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.11044454574584961},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10641267895698547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7920178174972534},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.7294386625289917},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6303949952125549},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5994539856910706},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5917787551879883},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5166759490966797},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4766745865345001},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4687986969947815},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.45725128054618835},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.45064929127693176},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4145393669605255},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3792434632778168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3260440230369568},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12516048550605774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.11044454574584961},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10641267895698547},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3489517.3530489","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3489517.3530489","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3489517.3530489","source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3489517.3530489","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3489517.3530489","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3489517.3530489","source":{"id":"https://openalex.org/S4363608816","display_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 59th ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G123980022","display_name":"CPS: TTP Option: Medium: Collaborative Research: Low-Cost, High-Throughput, Cyber-Physical Synthesis of Encrypted DNA","funder_award_id":"1739503","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3599732340","display_name":null,"funder_award_id":"CMMI-1739503,CCF-2140154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4893405108","display_name":null,"funder_award_id":"CCF-2140154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6683306111","display_name":null,"funder_award_id":"CMMI-1739503","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8859207267","display_name":"SHF: Small: A Design Automation Methodology for Flexible Real-Time Computing based on Split and Early Exit Neural Models","funder_award_id":"2140154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293261737.pdf","grobid_xml":"https://content.openalex.org/works/W4293261737.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1896828295","https://openalex.org/W2031489346","https://openalex.org/W2399237939","https://openalex.org/W2495046539","https://openalex.org/W2789447360","https://openalex.org/W3029817943","https://openalex.org/W3091782036","https://openalex.org/W3105248137","https://openalex.org/W3127743092","https://openalex.org/W4238240456"],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W2011264131","https://openalex.org/W4306353150","https://openalex.org/W2026860389","https://openalex.org/W8219677","https://openalex.org/W3216879894","https://openalex.org/W2890132085","https://openalex.org/W3207883763","https://openalex.org/W2168054807","https://openalex.org/W2058990474"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1],"use":[2],"multiple":[3],"sensors,":[4],"large":[5],"deep-learning":[6],"models,":[7],"and":[8,16,48,74,98,100],"powerful":[9],"hardware":[10,84],"platforms":[11],"to":[12,43,59],"perceive":[13],"the":[14,45,79],"environment":[15],"navigate":[17],"safely.":[18],"In":[19],"many":[20],"contexts,":[21],"some":[22],"sensing":[23],"modalities":[24],"negatively":[25],"impact":[26],"perception":[27,54],"while":[28],"increasing":[29],"energy":[30,50,73,97],"consumption.":[31],"We":[32,86],"propose":[33,88],"EcoFusion:":[34],"an":[35],"energy-aware":[36],"sensor":[37],"fusion":[38,46,67],"approach":[39],"that":[40],"uses":[41],"context":[42],"adapt":[44],"method":[47],"reduce":[49],"consumption":[51],"without":[52],"affecting":[53],"performance.":[55],"EcoFusion":[56],"performs":[57],"up":[58],"9.5%":[60],"better":[61],"at":[62],"object":[63],"detection":[64],"than":[65],"existing":[66],"methods":[68],"with":[69],"approximately":[70],"60%":[71],"less":[72],"58%":[75],"lower":[76],"latency":[77],"on":[78],"industry-standard":[80],"Nvidia":[81],"Drive":[82],"PX2":[83],"platform.":[85],"also":[87],"several":[89],"context-identification":[90],"strategies,":[91],"implement":[92],"a":[93],"joint":[94],"optimization":[95],"between":[96],"performance,":[99],"present":[101],"scenario-specific":[102],"results.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-08-27T00:00:00"}
