{"id":"https://openalex.org/W7166565803","doi":"https://doi.org/10.1007/978-3-032-29365-7_2","title":"High Performance Convolutional Neural Network Acceleration on\u00a0Versal AI Edge Devices for\u00a0Real Time DC Series Arc Fault Detection","display_name":"High Performance Convolutional Neural Network Acceleration on\u00a0Versal AI Edge Devices for\u00a0Real Time DC Series Arc Fault Detection","publication_year":2026,"publication_date":"2026-06-29","ids":{"openalex":"https://openalex.org/W7166565803","doi":"https://doi.org/10.1007/978-3-032-29365-7_2"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-29365-7_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-29365-7_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5101563566","display_name":"Yu Li","orcid":"https://orcid.org/0009-0008-4569-265X"},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]},{"id":"https://openalex.org/I4210159638","display_name":"Hochschule Osnabr\u00fcck","ror":"https://ror.org/059vymd37","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210159638"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yu Li","raw_affiliation_strings":["Osnabr\u00fcck University, 49074, Osnabr\u00fcck, Germany"],"raw_orcid":"https://orcid.org/0009-0008-4569-265X","affiliations":[{"raw_affiliation_string":"Osnabr\u00fcck University, 49074, Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I170658231","https://openalex.org/I4210159638"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101544311","display_name":"Yufei Mao","orcid":"https://orcid.org/0009-0003-3211-7748"},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yufei Mao","raw_affiliation_strings":["Bielefeld University, 33615, Bielefeld, Germany","Siemens AG, 91058, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0009-0003-3211-7748","affiliations":[{"raw_affiliation_string":"Bielefeld University, 33615, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]},{"raw_affiliation_string":"Siemens AG, 91058, Erlangen, Germany","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023398490","display_name":"Roland Wei\u00df","orcid":"https://orcid.org/0000-0003-3092-7846"},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roland Weiss","raw_affiliation_strings":["Siemens AG, 91058, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3092-7846","affiliations":[{"raw_affiliation_string":"Siemens AG, 91058, Erlangen, Germany","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028498307","display_name":"Mario Porrmann","orcid":"https://orcid.org/0000-0003-1005-5753"},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]},{"id":"https://openalex.org/I4210159638","display_name":"Hochschule Osnabr\u00fcck","ror":"https://ror.org/059vymd37","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210159638"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mario Porrmann","raw_affiliation_strings":["Osnabr\u00fcck University, 49074, Osnabr\u00fcck, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1005-5753","affiliations":[{"raw_affiliation_string":"Osnabr\u00fcck University, 49074, Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I170658231","https://openalex.org/I4210159638"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101563566"],"corresponding_institution_ids":["https://openalex.org/I170658231","https://openalex.org/I4210159638"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9904000163078308,"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/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9904000163078308,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10972","display_name":"Power Systems Fault Detection","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/arc-fault-circuit-interrupter","display_name":"Arc-fault circuit interrupter","score":0.7092999815940857},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6603999733924866},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4916999936103821},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.48559999465942383},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4675000011920929},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4641000032424927},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4514999985694885},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.42289999127388},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42179998755455017},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.41370001435279846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.88919997215271},{"id":"https://openalex.org/C157069517","wikidata":"https://www.wikidata.org/wiki/Q132172","display_name":"Arc-fault circuit interrupter","level":4,"score":0.7092999815940857},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6603999733924866},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4916999936103821},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.48559999465942383},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4675000011920929},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4514999985694885},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.42289999127388},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42179998755455017},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.41370001435279846},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4099000096321106},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39899998903274536},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.373199999332428},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3725999891757965},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.35830000042915344},{"id":"https://openalex.org/C2777062904","wikidata":"https://www.wikidata.org/wiki/Q545406","display_name":"Toolchain","level":3,"score":0.35740000009536743},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.34880000352859497},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3179999887943268},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.31790000200271606},{"id":"https://openalex.org/C83415579","wikidata":"https://www.wikidata.org/wiki/Q161973","display_name":"Arc (geometry)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26460000872612},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.26159998774528503},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2513999938964844},{"id":"https://openalex.org/C60439489","wikidata":"https://www.wikidata.org/wiki/Q634407","display_name":"Streamlines, streaklines, and pathlines","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-29365-7_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-29365-7_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8526420593261719,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2565125333","https://openalex.org/W2789878874","https://openalex.org/W2798084934","https://openalex.org/W2891946740","https://openalex.org/W2917909627","https://openalex.org/W2918037051","https://openalex.org/W2981849318","https://openalex.org/W3204138030","https://openalex.org/W4220837296","https://openalex.org/W4225136883","https://openalex.org/W4322706886","https://openalex.org/W4386710216","https://openalex.org/W4386763443","https://openalex.org/W4387195391","https://openalex.org/W4401017969","https://openalex.org/W4403278819","https://openalex.org/W4408254226","https://openalex.org/W4414720376","https://openalex.org/W4414721222","https://openalex.org/W6908491120","https://openalex.org/W7134820674","https://openalex.org/W7164202102"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-06-30T00:00:00"}