{"id":"https://openalex.org/W2937143200","doi":"https://doi.org/10.1109/ecai.2018.8678935","title":"The Performances of the Fixed Constraints Transform Applied in Text Compression Experimental Results and Comparisons","display_name":"The Performances of the Fixed Constraints Transform Applied in Text Compression Experimental Results and Comparisons","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2937143200","doi":"https://doi.org/10.1109/ecai.2018.8678935","mag":"2937143200"},"language":"en","primary_location":{"id":"doi:10.1109/ecai.2018.8678935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai.2018.8678935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","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/A5019030496","display_name":"Radu R\u0103descu","orcid":"https://orcid.org/0000-0003-3756-067X"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Radu Radescu","raw_affiliation_strings":["Applied Electronics and Information Engineering, University \u201cPolitehnica\u201d of Bucharest, Bucharest, Romania","Applied Electronics and Information Engineering, University \"Politehnica\" of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Applied Electronics and Information Engineering, University \u201cPolitehnica\u201d of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Applied Electronics and Information Engineering, University \"Politehnica\" of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024225909","display_name":"Andrei Petru Barar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrei Petru Barar","raw_affiliation_strings":["Technical Department, Gemini Solutions Romania, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Technical Department, Gemini Solutions Romania, Bucharest, Romania","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019030496"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62390404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"124","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9998999834060669,"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":0.9998999834060669,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9501000046730042,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.8293867111206055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7110450267791748},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6576855182647705},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6126919388771057},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5860662460327148},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5655072927474976},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5462420582771301},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5282774567604065},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.45626047253608704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43937358260154724},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.42132580280303955},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4141899049282074},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4131707549095154},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4101615846157074},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.3659166097640991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2783508598804474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.211814284324646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14250877499580383},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.10670813918113708}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8293867111206055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110450267791748},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6576855182647705},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6126919388771057},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5860662460327148},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5655072927474976},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5462420582771301},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5282774567604065},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.45626047253608704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43937358260154724},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.42132580280303955},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4141899049282074},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4131707549095154},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4101615846157074},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3659166097640991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2783508598804474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.211814284324646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14250877499580383},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.10670813918113708},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecai.2018.8678935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai.2018.8678935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W12673164","https://openalex.org/W53492560","https://openalex.org/W1513238352","https://openalex.org/W1537803653","https://openalex.org/W1570848224","https://openalex.org/W1875619160","https://openalex.org/W2003502073","https://openalex.org/W2155729921","https://openalex.org/W2161488606","https://openalex.org/W2611071497","https://openalex.org/W3141738472","https://openalex.org/W4245176872","https://openalex.org/W4245569489","https://openalex.org/W6600494896","https://openalex.org/W6602169807","https://openalex.org/W6683504902"],"related_works":["https://openalex.org/W1680283075","https://openalex.org/W2088378984","https://openalex.org/W3210566648","https://openalex.org/W2342447567","https://openalex.org/W3080614128","https://openalex.org/W2314401560","https://openalex.org/W2380116549","https://openalex.org/W2549477129","https://openalex.org/W4200061735","https://openalex.org/W3202870363"],"abstract_inverted_index":{"The":[0,30,156,181,204,258],"Fixed":[1],"Constraints":[2],"Transform":[3,237],"(FCT)":[4],"encodes":[5],"the":[6,18,21,24,63,73,87,94,97,110,116,119,124,127,189,195,199,210,214,224,228,244,281,293],"text":[7,25,55,64,125,205],"based":[8,90],"on":[9,91,99,104],"a":[10,41,45,70,247,264,274,297,320],"dictionary.":[11],"This":[12,49],"dictionary":[13,31],"is":[14,32,38,51,89,113,241,301],"used":[15,139,207,231,318],"to":[16,219,223,292],"accomplish":[17],"connections":[19],"between":[20,118],"words":[22,95],"in":[23,40,69,96,123,146,296,319,330],"and":[26,36,57,80,106,126,179,198,238,289,317,328],"their":[27],"corresponding":[28],"transforms.":[29],"generated":[33],"one":[34],"time":[35,191,201],"it":[37,58,81,151,272,279,284],"saved":[39],"binary":[42],"form":[43],"for":[44,54,163,192,202,208,243,325],"better":[46,153],"word-indexing":[47],"speed.":[48,155],"method":[50,304],"strictly":[52],"designed":[53],"compression":[56,162,185,196,220,275,322],"has":[59,65,133,152],"maximum":[60],"performances":[61,135,221],"when":[62],"normal":[66],"formatting":[67],"-":[68,141,145,268,271],"phrase,":[71],"only":[72],"first":[74],"word":[75],"starts":[76],"with":[77,83,136,280,308],"upper":[78],"case,":[79],"continues":[82],"lower":[84],"case.":[85],"Because":[86],"algorithm":[88,276],"modification":[92],"of":[93,102,121,130,148,159,184,246,249,305],"text,":[98],"unaltered":[100],"signs":[101],"punctuation,":[103],"spaces":[105],"other":[107,137],"special":[108],"characters,":[109],"algorithms":[111,158],"performance":[112,186,211],"given":[114],"by":[115,172,227],"ratio":[117],"number":[120,129],"letters":[122],"total":[128],"characters.":[131],"FCT":[132,217,240,300],"close":[134,222],"frequently":[138],"transforms":[140,230],"Star,":[142],"Burrows-Wheeler,":[143],"etc.":[144],"terms":[147],"compression,":[149,266],"but":[150,267],"execution":[154],"applied":[157,277],"lossless":[160,255,321],"data":[161,256,306],"testing":[164],"are:":[165],"RLE":[166],"(Run-Length":[167],"Encoding),":[168],"arithmetic,":[169],"PPMd":[170],"(Prediction":[171],"Partial":[173],"Matching),":[174],"BZip2,":[175],"Deflate":[176],"(WinZip),":[177],"LAMA,":[178],"RAR.":[180],"following":[182],"indicators":[183],"were":[187],"measured:":[188],"requested":[190,200],"transform":[193,259],"generation,":[194],"rate,":[197],"compression.":[203,257],"files":[206,329],"evaluating":[209],"are":[212],"from":[213],"Calgary":[215],"Corpus.":[216],"leads":[218],"ones":[225],"obtained":[226],"usual":[229,331],"as":[232,253],"pre-compression":[233],"methods":[234],"(BWT,":[235],"Star":[236],"derivatives).":[239],"suited":[242],"use":[245],"chain":[248,323],"processors":[250],"that":[251,283,311],"have":[252],"purpose":[254],"itself":[260],"does":[261],"not":[262],"do":[263],"performing":[265],"most":[269],"important":[270],"helps":[273],"after":[278],"fact":[282],"eliminates":[285],"some":[286],"redundant":[287],"information":[288],"specific":[290],"features":[291],"idioms":[294],"written":[295],"certain":[298],"language.":[299],"an":[302],"efficient":[303],"processing":[307],"notable":[309],"results":[310],"can":[312],"be":[313],"very":[314],"easily":[315],"implemented":[316],"both":[324],"stream":[326],"sequences":[327],"applications.":[332]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}