{"id":"https://openalex.org/W4398186475","doi":"https://doi.org/10.1145/3605098.3635170","title":"Student Research Abstract: Real-Time 3D Registration and Fusion with SRAM-based Analog In-Memory Computing","display_name":"Student Research Abstract: Real-Time 3D Registration and Fusion with SRAM-based Analog In-Memory Computing","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4398186475","doi":"https://doi.org/10.1145/3605098.3635170"},"language":"en","primary_location":{"id":"doi:10.1145/3605098.3635170","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3605098.3635170","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3605098.3635170","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3605098.3635170","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051967212","display_name":"Xin-You Liu","orcid":"https://orcid.org/0009-0002-7144-4189"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210092191","display_name":"Macronix International (Taiwan)","ror":"https://ror.org/01bggjn73","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210092191"]},{"id":"https://openalex.org/I99613584","display_name":"National Taipei University","ror":"https://ror.org/03e29r284","country_code":"TW","type":"education","lineage":["https://openalex.org/I99613584"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Xin-You Liu","raw_affiliation_strings":["Department of Computer Sciences and Information Engineering, National Taiwan University, Taipei, Taiwan","Emerging System Laboratory, Macronix International Co., Ltd., Hsinchu, Taiwan","Department of Computer Sciences and Information Engineering, National Taiwan University, Taipei, Taiwan Emerging System Laboratory, Macronix International Co., Ltd., Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0009-0002-7144-4189","affiliations":[{"raw_affiliation_string":"Department of Computer Sciences and Information Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I99613584"]},{"raw_affiliation_string":"Emerging System Laboratory, Macronix International Co., Ltd., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210092191"]},{"raw_affiliation_string":"Department of Computer Sciences and Information Engineering, National Taiwan University, Taipei, Taiwan Emerging System Laboratory, Macronix International Co., Ltd., Hsinchu, Taiwan","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210092191"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051967212"],"corresponding_institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210092191","https://openalex.org/I99613584"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06692675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"454","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9976999759674072,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944000244140625,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.8108490705490112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167912125587463},{"id":"https://openalex.org/keywords/memory-refresh","display_name":"Memory refresh","score":0.5011169910430908},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4423868954181671},{"id":"https://openalex.org/keywords/random-access-memory","display_name":"Random access memory","score":0.4249670207500458},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.39466384053230286},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.3682517409324646},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.33290356397628784},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.304546594619751},{"id":"https://openalex.org/keywords/computer-memory","display_name":"Computer memory","score":0.14207243919372559}],"concepts":[{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.8108490705490112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167912125587463},{"id":"https://openalex.org/C87907426","wikidata":"https://www.wikidata.org/wiki/Q6815755","display_name":"Memory refresh","level":4,"score":0.5011169910430908},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4423868954181671},{"id":"https://openalex.org/C2994168587","wikidata":"https://www.wikidata.org/wiki/Q5295","display_name":"Random access memory","level":2,"score":0.4249670207500458},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.39466384053230286},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.3682517409324646},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.33290356397628784},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.304546594619751},{"id":"https://openalex.org/C92855701","wikidata":"https://www.wikidata.org/wiki/Q5830907","display_name":"Computer memory","level":3,"score":0.14207243919372559},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605098.3635170","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3605098.3635170","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3605098.3635170","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":{"id":"doi:10.1145/3605098.3635170","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3605098.3635170","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3605098.3635170","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322410","display_name":"MediaTek","ror":"https://ror.org/05g9jck81"},{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398186475.pdf","grobid_xml":"https://content.openalex.org/works/W4398186475.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2892880750","https://openalex.org/W2899641901","https://openalex.org/W2986382673","https://openalex.org/W3025159219","https://openalex.org/W3034239841","https://openalex.org/W3042567147","https://openalex.org/W3043783230","https://openalex.org/W3135906938","https://openalex.org/W4313887270","https://openalex.org/W6780974030"],"related_works":["https://openalex.org/W2189053673","https://openalex.org/W3205888584","https://openalex.org/W2389480749","https://openalex.org/W2186356227","https://openalex.org/W3200702775","https://openalex.org/W2011998170","https://openalex.org/W2011581354","https://openalex.org/W3209704453","https://openalex.org/W1542948717","https://openalex.org/W1999233125"],"abstract_inverted_index":{"In-memory":[0],"computing":[1],"systems":[2],"are":[3],"designed":[4,35],"to":[5,51,65,120],"offload":[6],"workloads":[7],"without":[8],"transmitting":[9],"tasks":[10],"between":[11],"CPU":[12],"or":[13,29],"GPU,":[14],"reducing":[15],"energy":[16,28,125],"consumption.":[17],"3D":[18],"sensors":[19],"generate":[20],"events":[21],"of":[22],"interest,":[23],"usually":[24],"powered":[25],"by":[26,118,127,137],"harvested":[27],"prolonged":[30],"battery":[31],"lifetimes.":[32],"This":[33],"work":[34],"a":[36,112],"three-dimensional":[37],"(3D)":[38],"sensing":[39],"system":[40],"using":[41],"analog":[42],"SRAM-based":[43],"CIMs":[44],"macro":[45],"for":[46,104],"storage":[47],"and":[48,94,132],"data":[49],"processing":[50],"identify":[52],"the":[53,62,75,105,115,124,134],"subjects.":[54],"The":[55,72,109],"proposed":[56,106],"neural":[57],"network":[58],"training":[59],"scheme":[60],"embedded":[61],"uncertainty":[63],"model":[64,116],"tackle":[66],"ADC":[67],"non-deterministic":[68],"thermal":[69],"noise":[70],"error.":[71],"design":[73],"leverages":[74],"multiplication-accumulation":[76],"(MAC)":[77],"operation":[78],"with":[79],"limited":[80],"precision":[81],"on":[82],"SRAM":[83],"CIM":[84],"macro,":[85],"accelerating":[86],"computation":[87],"such":[88],"as":[89],"graph":[90],"convolution,":[91],"attention":[92],"mechanism,":[93],"k":[95],"nearest":[96],"high":[97],"dimensional":[98],"feature":[99],"vectors":[100],"in":[101,114],"Euclidean":[102],"distance":[103],"registration":[107],"pipeline.":[108],"experiment":[110],"shows":[111],"reduction":[113],"size":[117],"up":[119],"27":[121],"times,":[122,131],"reduces":[123],"consumption":[126],"at":[128],"least":[129],"100":[130],"shortens":[133],"inference":[135],"time":[136],"297":[138],"times.":[139]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
