{"id":"https://openalex.org/W4404133647","doi":"https://doi.org/10.1145/3649329.3661935","title":"SSRESF: Sensitivity-aware Single-particle Radiation Effects Simulation Framework in SoC Platforms based on SVM Algorithm","display_name":"SSRESF: Sensitivity-aware Single-particle Radiation Effects Simulation Framework in SoC Platforms based on SVM Algorithm","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4404133647","doi":"https://doi.org/10.1145/3649329.3661935"},"language":"en","primary_location":{"id":"doi:10.1145/3649329.3661935","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3661935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","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/A5102006845","display_name":"Meng Liu","orcid":"https://orcid.org/0000-0002-6803-0789"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Liu","raw_affiliation_strings":["Beijing University of Technology, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6803-0789","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424144","display_name":"Shuai Li","orcid":"https://orcid.org/0009-0009-7690-4608"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Beijing University of Technology, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-7690-4608","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053980231","display_name":"Fei Xiao","orcid":"https://orcid.org/0009-0006-0107-3350"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xiao","raw_affiliation_strings":["Beijing University of Technology, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-0107-3350","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113415922","display_name":"Ruijie Wang","orcid":"https://orcid.org/0009-0005-5770-0862"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruijie Wang","raw_affiliation_strings":["Beijing University of Technology, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-5770-0862","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073771741","display_name":"Chunting Liu","orcid":"https://orcid.org/0009-0009-4677-2501"},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxue Liu","raw_affiliation_strings":["Beijing Microelectronics Technology Institute, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-4677-2501","affiliations":[{"raw_affiliation_string":"Beijing Microelectronics Technology Institute, Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210089056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100712623","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0002-0061-5502"},"institutions":[{"id":"https://openalex.org/I4210089056","display_name":"Beijing Microelectronics Technology Institute","ror":"https://ror.org/007y7ej30","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210089056"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Beijing Microelectronics Technology Institute, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0061-5502","affiliations":[{"raw_affiliation_string":"Beijing Microelectronics Technology Institute, Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210089056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102006845"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17170535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11005","display_name":"Radiation Effects in Electronics","score":1.0,"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/T11005","display_name":"Radiation Effects in Electronics","score":1.0,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","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"}}],"keywords":[{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.695356011390686},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6563189029693604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.645951509475708},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5082213878631592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3206154406070709},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11377626657485962},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.11284264922142029}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.695356011390686},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6563189029693604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.645951509475708},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5082213878631592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3206154406070709},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11377626657485962},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.11284264922142029}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649329.3661935","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649329.3661935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6600000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2406444183","https://openalex.org/W3129459659","https://openalex.org/W3133644504","https://openalex.org/W3186013935","https://openalex.org/W3205543001","https://openalex.org/W3213220211","https://openalex.org/W3215007394","https://openalex.org/W4226027493","https://openalex.org/W4293025114","https://openalex.org/W4312999421","https://openalex.org/W4321488311","https://openalex.org/W4321608049","https://openalex.org/W4323896553","https://openalex.org/W4379116099","https://openalex.org/W6846660014"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"The":[0,86],"ever-expanding":[1],"scale":[2,133],"of":[3,70,107,123,134,149],"integrated":[4,19,40,136],"circuits":[5],"has":[6],"brought":[7],"about":[8],"a":[9,47],"significant":[10],"rise":[11],"in":[12,104,127],"the":[13,35,75,82,105,120,124,132,147],"design":[14,29],"risks":[15],"associated":[16],"with":[17,26],"radiation-resistant":[18],"circuit":[20,72],"chips.":[21],"Traditional":[22],"single-particle":[23,50],"experimental":[24],"methods,":[25],"their":[27],"iterative":[28],"approach,":[30],"are":[31],"increasingly":[32],"ill-suited":[33],"for":[34,56,109],"challenges":[36,130],"posed":[37],"by":[38],"large-scale":[39],"circuits.":[41,137],"In":[42],"response,":[43],"this":[44],"article":[45],"introduces":[46],"novel":[48],"sensitivity-aware":[49],"radiation":[51],"effects":[52],"simulation":[53],"framework":[54],"tailored":[55],"System-on-Chip":[57],"platforms.":[58],"Based":[59],"on":[60,92,146],"SVM":[61],"algorithm":[62],"we":[63],"have":[64,140],"implemented":[65],"fast":[66],"finding":[67],"and":[68,99,114],"classification":[69],"sensitive":[71],"nodes.":[73],"Additionally,":[74],"methodology":[76,126],"automates":[77],"soft":[78],"error":[79],"analysis":[80],"across":[81],"entire":[83],"software":[84],"stack.":[85],"study":[87],"includes":[88],"practical":[89,121],"experiments":[90],"focusing":[91],"RISC-V":[93],"architecture,":[94],"encompassing":[95],"core":[96],"components,":[97],"buses,":[98],"memory":[100],"systems.":[101],"It":[102],"culminates":[103],"establishment":[106],"databases":[108],"Single":[110,115],"Event":[111,116],"Upsets":[112],"(SEU)":[113],"Transients":[117],"(SET),":[118],"showcasing":[119],"efficacy":[122],"proposed":[125],"addressing":[128],"radiation-induced":[129],"at":[131],"contemporary":[135],"Experimental":[138],"results":[139],"shown":[141],"up":[142],"to":[143],"12.78\u00d7":[144],"speed-up":[145],"basis":[148],"achieving":[150],"94.58%":[151],"accuracy.":[152]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
