{"id":"https://openalex.org/W2168476654","doi":"https://doi.org/10.1145/2591971.2591976","title":"Error estimating codes for insertion and deletion channels","display_name":"Error estimating codes for insertion and deletion channels","publication_year":2014,"publication_date":"2014-06-10","ids":{"openalex":"https://openalex.org/W2168476654","doi":"https://doi.org/10.1145/2591971.2591976","mag":"2168476654"},"language":"en","primary_location":{"id":"doi:10.1145/2591971.2591976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2591971.2591976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 ACM international conference on Measurement and modeling of computer systems","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/A5076273885","display_name":"Jiwei Huang","orcid":"https://orcid.org/0000-0001-5220-6703"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwei Huang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064853530","display_name":"Sen Yang","orcid":"https://orcid.org/0000-0003-1896-6092"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sen Yang","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085185917","display_name":"Ashwin Lall","orcid":"https://orcid.org/0009-0003-2046-0055"},"institutions":[{"id":"https://openalex.org/I20577493","display_name":"Denison University","ror":"https://ror.org/05pqx1c24","country_code":"US","type":"education","lineage":["https://openalex.org/I20577493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashwin Lall","raw_affiliation_strings":["Denison University, Granville, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Denison University, Granville, OH, USA","institution_ids":["https://openalex.org/I20577493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041443633","display_name":"Justin Romberg","orcid":"https://orcid.org/0000-0002-6616-197X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Romberg","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025728584","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-0046-8119"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443673","display_name":"Chuang Lin","orcid":"https://orcid.org/0000-0001-5272-3284"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Lin","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2847,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61094686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"381","last_page":"393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9998000264167786,"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/T12029","display_name":"DNA and Biological Computing","score":0.9994999766349792,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/decoding-methods","display_name":"Decoding methods","score":0.7497484087944031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7439945936203003},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.713038980960846},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6041532754898071},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5484824180603027},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.5109947919845581},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.4504009485244751},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4377667009830475},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3653697967529297},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.29076409339904785},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11939600110054016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07259789109230042}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7497484087944031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439945936203003},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.713038980960846},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6041532754898071},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5484824180603027},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.5109947919845581},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.4504009485244751},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4377667009830475},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3653697967529297},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.29076409339904785},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11939600110054016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07259789109230042}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2591971.2591976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2591971.2591976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 ACM international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.650.8902","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.8902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://personal.denison.edu/~lalla/papers/sigmet053-huang.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3068988090","display_name":null,"funder_award_id":"CNS 1218092, CNS 1217758, CNS 0910592","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"}],"funders":[{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1560153690","https://openalex.org/W1973613668","https://openalex.org/W2040063291","https://openalex.org/W2044177275","https://openalex.org/W2060398878","https://openalex.org/W2097460929","https://openalex.org/W2098587024","https://openalex.org/W2125870772","https://openalex.org/W2137445826","https://openalex.org/W2160872168","https://openalex.org/W4232721844"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799","https://openalex.org/W4303961414"],"abstract_inverted_index":{"Error":[0],"estimating":[1],"codes":[2],"(EEC)":[3],"have":[4],"recently":[5],"been":[6],"proposed":[7],"for":[8,191],"measuring":[9],"the":[10,50,59,106,112,125,133,139,189,206,209,227,233,239,243,249],"bit":[11,75,89],"error":[12],"rate":[13],"(BER)":[14],"in":[15,39,58,145,172],"packets":[16],"transmitted":[17],"over":[18],"wireless":[19,41],"links.":[20],"They":[21],"however":[22],"can":[23,54,95,216],"provide":[24],"such":[25,179],"measurements":[26],"only":[27],"when":[28],"there":[29],"are":[30],"no":[31,167,212],"insertion":[32,62,76,168],"and":[33,63,77,158,169,194,198,248],"deletion":[34,64,78,170],"errors,":[35],"which":[36,121,152],"could":[37],"occur":[38,83],"various":[40],"network":[42],"environments.":[43],"In":[44],"this":[45,195],"work,":[46],"we":[47],"propose":[48],"``idEEC'',":[49],"first":[51],"technique":[52],"that":[53,68,165],"do":[55],"so":[56],"even":[57],"presence":[60],"of":[61,105,117,120,132,151,208,238,242,251],"errors.":[65,91],"We":[66],"show":[67],"idEEC":[69,93,107,134,244,252],"is":[70,109,122,136,183,186,246,253],"provable":[71],"robust":[72],"under":[73],"most":[74],"scenarios,":[79],"provided":[80],"insertion/deletion":[81],"errors":[82,171],"with":[84],"much":[85],"lower":[86],"probability":[87],"than":[88],"flipping":[90],"Our":[92],"design":[94],"build":[96],"upon":[97],"any":[98],"existing":[99],"EEC":[100,127],"scheme.":[101,128],"The":[102,129,219],"basic":[103,130],"idea":[104,131],"encoding":[108],"to":[110,137,161],"divide":[111,138,197],"packet":[113,140,190,210],"into":[114,141],"a":[115,142,146,163,175,180],"number":[116],"segments,":[118],"each":[119,150],"encoded":[123],"using":[124],"underlying":[126],"decoding":[135,245],"few":[143],"slices":[144,215,229],"randomized":[147],"manner":[148],"--":[149,157],"may":[153],"contain":[154],"several":[155],"segments":[156],"then":[159,222],"try":[160],"identify":[162],"slice":[164,182],"has":[166],"it":[173,185],"(called":[174],"``clean":[176],"slice'').":[177],"Once":[178],"clean":[181,214,228],"found,":[184],"removed":[187],"from":[188,225],"later":[192],"processing,":[193],"``randomized":[196],"search''":[199],"procedure":[200],"will":[201,221],"be":[202,217,223],"iteratively":[203],"performed":[204],"on":[205],"rest":[207],"until":[211],"more":[213],"found.":[218],"BER":[220],"estimated":[224],"all":[226,232],"discovered":[230],"through":[231],"iterations.":[234],"A":[235],"careful":[236],"analysis":[237],"accuracy":[240],"guarantees":[241],"provided,":[247],"efficacy":[250],"further":[254],"validated":[255],"by":[256],"simulation":[257],"experiments.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
