{"id":"https://openalex.org/W2021426694","doi":"https://doi.org/10.1109/tc.2002.1004588","title":"A method for compressing test data based on Burrows-Wheeler transformation","display_name":"A method for compressing test data based on Burrows-Wheeler transformation","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2021426694","doi":"https://doi.org/10.1109/tc.2002.1004588","mag":"2021426694"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2002.1004588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2002.1004588","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-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/A5010763159","display_name":"Takahiro Yamaguchi","orcid":"https://orcid.org/0000-0003-0325-8878"},"institutions":[{"id":"https://openalex.org/I4210103901","display_name":"Advantest (Japan)","ror":"https://ror.org/01bvpmp82","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210103901"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T.J. Yamaguchi","raw_affiliation_strings":["Advantest Laboratories Limited, Sendai, Miyagi, Japan","Advantest Labs. Ltd., Miyagi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advantest Laboratories Limited, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I4210103901"]},{"raw_affiliation_string":"Advantest Labs. Ltd., Miyagi, Japan","institution_ids":["https://openalex.org/I4210103901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064341265","display_name":"Dong Sam Ha","orcid":"https://orcid.org/0000-0003-4838-1773"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Sam Ha","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, CA, USA","State Univ., Blacksburg, CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, CA, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"State Univ., Blacksburg, CA#TAB#","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000723708","display_name":"M. Ishida","orcid":"https://orcid.org/0000-0003-1388-1284"},"institutions":[{"id":"https://openalex.org/I4210103901","display_name":"Advantest (Japan)","ror":"https://ror.org/01bvpmp82","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210103901"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Ishida","raw_affiliation_strings":["Advantest Laboratories Limited, Sendai, Miyagi, Japan","State Univ., Blacksburg, CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advantest Laboratories Limited, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I4210103901"]},{"raw_affiliation_string":"State Univ., Blacksburg, CA#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110826182","display_name":"T. Ohmi","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Ohmi","raw_affiliation_strings":["Department of Electronics, Faculity of Engineering, University of Tohoku, Sendai, Miyagi, Japan","Tohoku University Miyagi Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, Faculity of Engineering, University of Tohoku, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Tohoku University Miyagi Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8453,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77071494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"51","issue":"5","first_page":"486","last_page":"497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9915000200271606,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9901999831199646,"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/lossless-compression","display_name":"Lossless compression","score":0.8367023468017578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.813855767250061},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6762019991874695},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.6195717453956604},{"id":"https://openalex.org/keywords/test-compression","display_name":"Test compression","score":0.5477116703987122},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5295587182044983},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.48469141125679016},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46444159746170044},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4390376806259155},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38772904872894287},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3590814173221588},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.35905706882476807},{"id":"https://openalex.org/keywords/automatic-test-pattern-generation","display_name":"Automatic test pattern generation","score":0.28234750032424927},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.20758751034736633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10151755809783936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07471579313278198},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0721183717250824},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.07085531949996948},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06745010614395142}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8367023468017578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813855767250061},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6762019991874695},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.6195717453956604},{"id":"https://openalex.org/C29652920","wikidata":"https://www.wikidata.org/wiki/Q7705757","display_name":"Test compression","level":4,"score":0.5477116703987122},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5295587182044983},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.48469141125679016},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46444159746170044},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4390376806259155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38772904872894287},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3590814173221588},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.35905706882476807},{"id":"https://openalex.org/C17626397","wikidata":"https://www.wikidata.org/wiki/Q837455","display_name":"Automatic test pattern generation","level":3,"score":0.28234750032424927},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.20758751034736633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10151755809783936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07471579313278198},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0721183717250824},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.07085531949996948},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06745010614395142},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/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/tc.2002.1004588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2002.1004588","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W53492560","https://openalex.org/W81999829","https://openalex.org/W1496073286","https://openalex.org/W1534219979","https://openalex.org/W1555179204","https://openalex.org/W1838570031","https://openalex.org/W1945071860","https://openalex.org/W1958365305","https://openalex.org/W1990653637","https://openalex.org/W2020404829","https://openalex.org/W2022126655","https://openalex.org/W2060108852","https://openalex.org/W2104462630","https://openalex.org/W2106182768","https://openalex.org/W2107745473","https://openalex.org/W2122962290","https://openalex.org/W2141473546","https://openalex.org/W2161488606","https://openalex.org/W2528462503","https://openalex.org/W2911940095","https://openalex.org/W4300996320","https://openalex.org/W6683504902"],"related_works":["https://openalex.org/W4381744720","https://openalex.org/W2993349805","https://openalex.org/W4287393224","https://openalex.org/W2088378984","https://openalex.org/W3080614128","https://openalex.org/W4200061735","https://openalex.org/W2187963660","https://openalex.org/W2148218783","https://openalex.org/W2886883784","https://openalex.org/W2096036637"],"abstract_inverted_index":{"The":[0,72,114,140],"overall":[1],"throughput":[2],"of":[3,14,23,68,75,88,118],"automatic":[4],"test":[5,15,30,39,56,69,89,112,125],"equipment":[6],"(ATE)":[7],"is":[8,27,79,128,138,159],"affected":[9],"by":[10],"the":[11,21,24,33,65,76,82,86,119,133,150],"download":[12,25,151],"time":[13,26,152],"data.":[16,113],"An":[17],"effective":[18],"approach":[19],"to":[20,28,62,80,93],"reduction":[22],"compress":[29],"data":[31,40,57,70,126],"before":[32],"download.":[34],"A":[35],"compression":[36,58,102,116],"algorithm":[37],"for":[38,110,132],"should":[41],"meet":[42],"two":[43],"requirements:":[44],"lossless":[45],"and":[46,91],"simple":[47],"decompression.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"a":[54,155],"new":[55],"method":[59,78,103,121,147],"that":[60,100,131,145],"aims":[61],"fully":[63],"utilize":[64],"unique":[66],"characteristics":[67],"compression.":[71],"key":[73],"idea":[74],"proposed":[77,120],"perform":[81],"Burrows-Wheeler":[83],"transformation":[84],"on":[85,123],"sequence":[87],"patterns":[90],"then":[92],"apply":[94],"run-length":[95],"coding.":[96],"Experimental":[97],"results":[98,142],"show":[99,144],"our":[101,146],"performs":[104],"better":[105],"than":[106],"six":[107],"other":[108],"methods":[109],"compressing":[111],"average":[115],"ratio":[117],"performed":[122],"15":[124],"sets":[127],"94.6,":[129],"while":[130],"next":[134],"best":[135],"one,":[136],"Gzip,":[137],"65.0.":[139],"experimental":[141],"also":[143],"indeed":[148],"reduces":[149],"significantly,":[153],"provided":[154],"dedicated":[156],"hardware":[157],"decompressor":[158],"employed.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
