乐胖代购免代理版

{"id":"https://openalex.org/W2511916612","doi":"https://doi.org/10.1109/isit.2016.7541822","title":"Group testing schemes from low-weight codewords of BCH codes","display_name":"Group testing schemes from low-weight codewords of BCH codes","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2511916612","doi":"https://doi.org/10.1109/isit.2016.7541822","mag":"2511916612"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541822","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5091108132","display_name":"Shashanka Ubaru","orcid":"https://orcid.org/0000-0001-6942-7158"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashanka Ubaru","raw_affiliation_strings":["Dept. of Computer Science, University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051046818","display_name":"Arya Mazumdar","orcid":"https://orcid.org/0000-0003-4605-7996"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arya Mazumdar","raw_affiliation_strings":["Dept. of Computer Science, University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004622357","display_name":"Alexander Barg","orcid":"https://orcid.org/0000-0002-8972-4413"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Barg","raw_affiliation_strings":["Dept. of ECE and ISR, University of Maryland, College Park, MD"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE and ISR, University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.804,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.858108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"2863","last_page":"2867"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9979,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9979,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9975,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11725","display_name":"Immunodeficiency and Autoimmune Disorders","score":0.9716,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/group-testing","display_name":"Group testing","score":0.85640407},{"id":"https://openalex.org/keywords/bch-code","display_name":"BCH code","score":0.8229507},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.42551455}],"concepts":[{"id":"https://openalex.org/C177580056","wikidata":"https://www.wikidata.org/wiki/Q5611272","display_name":"Group testing","level":2,"score":0.85640407},{"id":"https://openalex.org/C42276685","wikidata":"https://www.wikidata.org/wiki/Q795705","display_name":"BCH code","level":3,"score":0.8229507},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6456149},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6000208},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5630741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4876703},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45971325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4481003},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.43824232},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43394095},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42551455},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3829961},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3503031},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.23793909},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18794438},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.15439802},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15406737},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541822","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1544735579","https://openalex.org/W1606480398","https://openalex.org/W1772667815","https://openalex.org/W1968160142","https://openalex.org/W1992271960","https://openalex.org/W2004227827","https://openalex.org/W2012584108","https://openalex.org/W2015926116","https://openalex.org/W2017825268","https://openalex.org/W2046083615","https://openalex.org/W2106343878","https://openalex.org/W2122398547","https://openalex.org/W2162273970","https://openalex.org/W2219285632","https://openalex.org/W3101317493","https://openalex.org/W3101529480","https://openalex.org/W4242286373","https://openalex.org/W428388907"],"related_works":["https://openalex.org/W4311168466","https://openalex.org/W4239727543","https://openalex.org/W3028734320","https://openalex.org/W2951146762","https://openalex.org/W2912502034","https://openalex.org/W2612882049","https://openalex.org/W2506979107","https://openalex.org/W2284101512","https://openalex.org/W2262711716","https://openalex.org/W1604083761"],"abstract_inverted_index":{"Despite":[0],"a":[1,127],"large":[2],"volume":[3],"of":[4,22,31,42,50,69,77,93,115,119,130],"research":[5],"in":[6,85,99,121],"group":[7,11,87],"testing,":[8],"explicit":[9],"small-size":[10,55],"testing":[12],"schemes":[13,25,101,105,124],"are":[14,26,58],"still":[15],"difficult":[16],"to":[17,39,46,103],"construct,":[18],"and":[19,52,81],"the":[20,29,32,35,48,54,104,116,122],"parameters":[21],"known":[23],"combinatorial":[24],"limited":[27],"by":[28,61],"constraints":[30],"problem.":[33],"Relaxing":[34],"worst-case":[36],"identification":[37,92,120],"requirements":[38],"probabilistic":[40],"localization":[41],"defectives":[43,94],"enables":[44],"one":[45],"expand":[47],"range":[49],"parameters,":[51],"yet":[53],"practical":[56],"constructions":[57],"sparse.":[59],"Motivated":[60],"this":[62],"question,":[63],"we":[64],"perform":[65],"an":[66,113],"experimental":[67],"study":[68],"almost":[70],"disjunct":[71],"matrices":[72],"constructed":[73,106,123],"from":[74,107],"low-weight":[75],"codewords":[76],"binary":[78,109],"BCH":[79],"codes,":[80],"evaluate":[82],"their":[83,131],"performance":[84],"nonadaptive":[86],"testing.":[88],"We":[89,111],"observe":[90],"that":[91],"is":[95],"much":[96],"more":[97],"stable":[98],"these":[100],"compared":[102],"random":[108],"matrices.":[110],"derive":[112],"estimate":[114],"error":[117],"probability":[118],"which":[125],"provides":[126],"partial":[128],"explanation":[129],"performance.":[132]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2511916612","counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2024-12-08T03:52:08.665537","created_date":"2016-09-16"}