{"id":"https://openalex.org/W4400063033","doi":"https://doi.org/10.1109/ets61313.2024.10567560","title":"Test Compression for Neuromorphic Chips","display_name":"Test Compression for Neuromorphic Chips","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4400063033","doi":"https://doi.org/10.1109/ets61313.2024.10567560"},"language":"en","primary_location":{"id":"doi:10.1109/ets61313.2024.10567560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ets61313.2024.10567560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE European Test Symposium (ETS)","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/A5101594771","display_name":"Xinping Chen","orcid":"https://orcid.org/0000-0002-7490-9036"},"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"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Xin-Ping Chen","raw_affiliation_strings":["National Taiwan University,Taipei,Taiwan","National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006921362","display_name":"Hsu-Yu Huang","orcid":"https://orcid.org/0009-0006-9114-0341"},"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"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsu-Yu Huang","raw_affiliation_strings":["National Taiwan University,Taipei,Taiwan","National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104336869","display_name":"Chu-Yun Hsiao","orcid":"https://orcid.org/0009-0004-0744-2204"},"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"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chu-Yun Hsiao","raw_affiliation_strings":["National Taiwan University,Taipei,Taiwan","National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050092575","display_name":"Jennifer Shueh-Inn Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I192703390","display_name":"Ming Chuan University","ror":"https://ror.org/02pgvzy25","country_code":"TW","type":"education","lineage":["https://openalex.org/I192703390"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jennifer Shueh-Inn Hu","raw_affiliation_strings":["Ming Chuan University,Taoyuan,Taiwan","Ming Chuan University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Ming Chuan University,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I192703390"]},{"raw_affiliation_string":"Ming Chuan University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I192703390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017361488","display_name":"James Chien-Mo Li","orcid":"https://orcid.org/0000-0002-4393-5186"},"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"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"James Chien-Mo Li","raw_affiliation_strings":["National Taiwan University,Taipei,Taiwan","National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101594771"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.4439,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61327264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9995999932289124,"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":0.9995999932289124,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9984999895095825,"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":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9179819822311401},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6747149229049683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633678138256073},{"id":"https://openalex.org/keywords/compression-test","display_name":"Compression test","score":0.5845007300376892},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5780230164527893},{"id":"https://openalex.org/keywords/test-compression","display_name":"Test compression","score":0.5225334167480469},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.47981026768684387},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3412134647369385},{"id":"https://openalex.org/keywords/automatic-test-pattern-generation","display_name":"Automatic test pattern generation","score":0.3271191716194153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24005427956581116},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21702656149864197},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12806883454322815},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.08924263715744019},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06191566586494446}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9179819822311401},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6747149229049683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633678138256073},{"id":"https://openalex.org/C3019305177","wikidata":"https://www.wikidata.org/wiki/Q6509294","display_name":"Compression test","level":3,"score":0.5845007300376892},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5780230164527893},{"id":"https://openalex.org/C29652920","wikidata":"https://www.wikidata.org/wiki/Q7705757","display_name":"Test compression","level":4,"score":0.5225334167480469},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.47981026768684387},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3412134647369385},{"id":"https://openalex.org/C17626397","wikidata":"https://www.wikidata.org/wiki/Q837455","display_name":"Automatic test pattern generation","level":3,"score":0.3271191716194153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24005427956581116},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21702656149864197},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12806883454322815},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.08924263715744019},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06191566586494446},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ets61313.2024.10567560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ets61313.2024.10567560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE European Test Symposium (ETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2102397476","https://openalex.org/W2362931062","https://openalex.org/W2582645878","https://openalex.org/W2741917766","https://openalex.org/W2753772285","https://openalex.org/W2783525259","https://openalex.org/W2892077605","https://openalex.org/W2951847121","https://openalex.org/W3008838787","https://openalex.org/W3112657502","https://openalex.org/W3190062760","https://openalex.org/W4200200280","https://openalex.org/W4285377637","https://openalex.org/W4298870207","https://openalex.org/W4302458519","https://openalex.org/W4312121097","https://openalex.org/W4312121118","https://openalex.org/W4318686013","https://openalex.org/W6631190155","https://openalex.org/W6677274844"],"related_works":["https://openalex.org/W4285708951","https://openalex.org/W2147986372","https://openalex.org/W2786111245","https://openalex.org/W1979305473","https://openalex.org/W3009953521","https://openalex.org/W4234763172","https://openalex.org/W2125317684","https://openalex.org/W2992024382","https://openalex.org/W1588361197","https://openalex.org/W2161045522"],"abstract_inverted_index":{"We":[0],"propose":[1],"test":[2,8,13,19,34,41,69,76],"compression":[3,20],"techniques":[4,21,64,95],"to":[5],"reduce":[6,66],"the":[7,44,47,67,74,90],"time":[9,83],"(test":[10],"configurations":[11,35,70],"and":[12,27,73],"length)":[14],"for":[15],"neuromorphic":[16,58,99],"chips.":[17],"Our":[18,81],"include":[22],"Dynamic":[23],"Test":[24,29],"Compression":[25,30],"(DTC)":[26],"Static":[28],"(STC).":[31],"DTC":[32],"generates":[33],"with":[36],"machine":[37],"learning.":[38],"STC":[39],"reduces":[40],"length":[42,77],"under":[43],"constraint":[45],"of":[46,98],"significance":[48],"level":[49],"in":[50],"Two-sample":[51],"Hotelling\u2019s":[52],"T-square":[53],"Test.":[54],"Experiments":[55],"on":[56],"two":[57],"architectures":[59],"show":[60],"that":[61],"our":[62],"proposed":[63,94],"can":[65],"total":[68,75],"by":[71,78],"90.44%":[72],"93.47%,":[79],"respectively.":[80],"run":[82],"is":[84],"more":[85],"than":[86,89],"10x":[87],"faster":[88],"previous":[91],"method.":[92],"The":[93],"are":[96],"independent":[97],"chips\u2019":[100],"applications.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
