{"id":"https://openalex.org/W3197583036","doi":"https://doi.org/10.1109/socc49529.2020.9524782","title":"The IANET Hardware Accelerator for Audio and Visual Data Classification","display_name":"The IANET Hardware Accelerator for Audio and Visual Data Classification","publication_year":2020,"publication_date":"2020-09-08","ids":{"openalex":"https://openalex.org/W3197583036","doi":"https://doi.org/10.1109/socc49529.2020.9524782","mag":"3197583036"},"language":"en","primary_location":{"id":"doi:10.1109/socc49529.2020.9524782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc49529.2020.9524782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 33rd 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/A5066986834","display_name":"Rohini Jayachandre Gillela","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rohini J. Gillela","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004368293","display_name":"Amlan Ganguly","orcid":"https://orcid.org/0000-0001-7354-7873"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amlan Ganguly","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043863217","display_name":"Dorin Patru","orcid":"https://orcid.org/0009-0008-5671-9061"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dorin Patru","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047142572","display_name":"Mark Indovina","orcid":"https://orcid.org/0000-0002-6645-4596"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark A. Indovina","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066986834"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22376564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"48","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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/T10860","display_name":"Speech and Audio Processing","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8224607706069946},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.6016209721565247},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5672114491462708},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.5062510371208191},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4795234501361847},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4392467141151428},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.4387011229991913},{"id":"https://openalex.org/keywords/audio-visual","display_name":"Audio visual","score":0.4125417172908783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3477637767791748},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.27376091480255127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2392757534980774},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.19168275594711304},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.16493451595306396},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.11092454195022583},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09228038787841797},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08212500810623169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224607706069946},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.6016209721565247},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5672114491462708},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.5062510371208191},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4795234501361847},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4392467141151428},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.4387011229991913},{"id":"https://openalex.org/C3017588708","wikidata":"https://www.wikidata.org/wiki/Q758901","display_name":"Audio visual","level":2,"score":0.4125417172908783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3477637767791748},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.27376091480255127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2392757534980774},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.19168275594711304},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.16493451595306396},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.11092454195022583},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09228038787841797},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08212500810623169}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc49529.2020.9524782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc49529.2020.9524782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 33rd International System-on-Chip Conference (SOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2038484192","https://openalex.org/W2125787953","https://openalex.org/W2138011018","https://openalex.org/W2260498192","https://openalex.org/W2293682279","https://openalex.org/W2340134902","https://openalex.org/W2432481613","https://openalex.org/W2526050071","https://openalex.org/W2618530766","https://openalex.org/W2767644592","https://openalex.org/W2811410732","https://openalex.org/W2962835968","https://openalex.org/W2962914239","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2271369634","https://openalex.org/W3147472394","https://openalex.org/W2047100085","https://openalex.org/W2350550760","https://openalex.org/W578794879","https://openalex.org/W2625296515","https://openalex.org/W3137890128","https://openalex.org/W1984634519","https://openalex.org/W4245955731","https://openalex.org/W2393726419"],"abstract_inverted_index":{"There":[0],"are":[1,29,101],"several":[2],"instances":[3],"during":[4,23],"driving":[5,24],"where":[6],"audible":[7],"data":[8],"is":[9,127],"of":[10,86,92,111,139,156,181],"importance,":[11],"though":[12],"often":[13],"ignored.":[14],"Today's":[15],"deaf":[16],"or":[17,37,61,75,79],"acoustically":[18],"impaired":[19],"drivers":[20,44],"face":[21],"challenges":[22],"in":[25,69,129],"various":[26,130],"countries.":[27],"They":[28],"vulnerable":[30],"as":[31],"they":[32],"can't":[33],"hear":[34],"the":[35,67,84,93,119,135,175],"siren":[36],"vehicle":[38],"horn":[39],"and":[40,51,77,90,118,137,150,165,177],"depend":[41],"on":[42],"other":[43,120],"around":[45],"them":[46],"to":[47,58,133],"act.":[48],"Processing":[49],"audio":[50,74,117,151],"providing":[52],"feedback":[53],"would":[54],"be":[55],"equally":[56],"valuable":[57],"any":[59],"driver":[60],"autonomous":[62],"vehicle.":[63],"This":[64,172],"paper":[65,173],"addresses":[66],"gap":[68],"existing":[70],"technology":[71],"by":[72],"integrating":[73],"acoustic":[76],"image":[78,122,149],"visual":[80],"processing":[81,99,123],"units":[82,100],"with":[83],"help":[85],"efficient":[87],"hardware":[88,126,146,179],"design":[89],"architecture":[91],"Convolutional":[94],"Neural":[95],"Networks":[96],"(CNNs).":[97],"These":[98],"integrated":[102],"into":[103],"a":[104,154],"single":[105],"module,":[106],"IANET,":[107],"that":[108],"makes":[109],"use":[110],"two":[112],"CNN":[113],"accelerators,":[114],"one":[115],"for":[116,121,148],"units.":[124],"The":[125,145],"implemented":[128],"fixed-point":[131],"representations":[132],"observe":[134],"accuracy":[136],"stability":[138],"network":[140],"classifiers":[141],"at":[142,162,168],"each":[143],"representation.":[144],"accelerators":[147],"classification":[152],"achieve":[153],"throughput":[155],"30":[157],"frames":[158],"per":[159],"second":[160],"(fps)":[161],"180":[163],"MHz":[164],"1":[166],"fps":[167],"20":[169],"MHz,":[170],"respectively.":[171],"presents":[174],"power":[176],"area-efficient":[178],"implementation":[180],"IANET.":[182]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}