{"id":"https://openalex.org/W1988329991","doi":"https://doi.org/10.1109/mwscas.2012.6292128","title":"Parallel implementation of multi-resolution filter band with novel Adaptive Load Balancing Algorithm on consumer-level multicore systems","display_name":"Parallel implementation of multi-resolution filter band with novel Adaptive Load Balancing Algorithm on consumer-level multicore systems","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W1988329991","doi":"https://doi.org/10.1109/mwscas.2012.6292128","mag":"1988329991"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2012.6292128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2012.6292128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5029731505","display_name":"Mohammad Wadood Majid","orcid":null},"institutions":[{"id":"https://openalex.org/I90871651","display_name":"University of Toledo","ror":"https://ror.org/01pbdzh19","country_code":"US","type":"education","lineage":["https://openalex.org/I90871651"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Wadood Majid","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, University of Toledo, Toledo, USA","Department of Electrical Eng. & Computer Science, University of Toledo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Toledo, Toledo, USA","institution_ids":["https://openalex.org/I90871651"]},{"raw_affiliation_string":"Department of Electrical Eng. & Computer Science, University of Toledo, USA","institution_ids":["https://openalex.org/I90871651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088613313","display_name":"Golrokh Mirzaei","orcid":"https://orcid.org/0000-0003-1756-7604"},"institutions":[{"id":"https://openalex.org/I90871651","display_name":"University of Toledo","ror":"https://ror.org/01pbdzh19","country_code":"US","type":"education","lineage":["https://openalex.org/I90871651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Golrokh Mirzaei","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, University of Toledo, Toledo, USA","Department of Electrical Eng. & Computer Science, University of Toledo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Toledo, Toledo, USA","institution_ids":["https://openalex.org/I90871651"]},{"raw_affiliation_string":"Department of Electrical Eng. & Computer Science, University of Toledo, USA","institution_ids":["https://openalex.org/I90871651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101868252","display_name":"Mohsin M. Jamali","orcid":"https://orcid.org/0000-0002-9723-9661"},"institutions":[{"id":"https://openalex.org/I90871651","display_name":"University of Toledo","ror":"https://ror.org/01pbdzh19","country_code":"US","type":"education","lineage":["https://openalex.org/I90871651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsin M. Jamali","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science, University of Toledo, Toledo, USA","Department of Electrical Eng. & Computer Science, University of Toledo, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science, University of Toledo, Toledo, USA","institution_ids":["https://openalex.org/I90871651"]},{"raw_affiliation_string":"Department of Electrical Eng. & Computer Science, University of Toledo, USA","institution_ids":["https://openalex.org/I90871651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029731505"],"corresponding_institution_ids":["https://openalex.org/I90871651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06822189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"746","last_page":"749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8233935832977295},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6774458885192871},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6750572919845581},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6720417141914368},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6385678648948669},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6144143342971802},{"id":"https://openalex.org/keywords/load-balancing","display_name":"Load balancing (electrical power)","score":0.557041347026825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5128288865089417},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.48770150542259216},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.44634389877319336},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.41542309522628784},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.39410942792892456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08552461862564087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07430228590965271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8233935832977295},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6774458885192871},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6750572919845581},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6720417141914368},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6385678648948669},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6144143342971802},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.557041347026825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5128288865089417},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.48770150542259216},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.44634389877319336},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.41542309522628784},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.39410942792892456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08552461862564087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07430228590965271},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas.2012.6292128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2012.6292128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1555915743","https://openalex.org/W2021722152","https://openalex.org/W2222553525","https://openalex.org/W2725179571","https://openalex.org/W4302311470"],"related_works":["https://openalex.org/W4230687177","https://openalex.org/W1968829728","https://openalex.org/W2349859869","https://openalex.org/W4316651471","https://openalex.org/W3120118008","https://openalex.org/W2051365847","https://openalex.org/W2367249529","https://openalex.org/W2027187261","https://openalex.org/W2088885441","https://openalex.org/W1943342825"],"abstract_inverted_index":{"The":[0],"widespread":[1],"usage":[2],"of":[3,13,31,146,157],"the":[4,11,45,53,63,67,117,144,147,152,158],"Discrete":[5,15],"Wavelet":[6,16],"Transform":[7,17],"(DWT)":[8],"has":[9,73],"motivated":[10],"development":[12],"Parallel":[14],"(PDWT)":[18],"on":[19,87,96,129,132,143,151],"multicore":[20],"computer":[21],"systems.":[22],"Several":[23],"studies":[24],"that":[25,36],"have":[26,34],"implemented":[27,56,95],"PDWT":[28],"by":[29,48],"utilization":[30],"parallel":[32,133],"technology":[33,72],"shown":[35],"it":[37,77],"is":[38,55,94,127],"an":[39,79,112],"effective":[40],"approach":[41,81,114],"to":[42,82,115,177],"speed":[43],"up":[44],"wavelet":[46,92],"transformation":[47],"a":[49,97],"considerable":[50],"factor.":[51],"However,":[52],"parallelism":[54],"in":[57,103],"multi-machine":[58],"network":[59],"environment":[60],"which":[61,126],"affects":[62],"system":[64,83,100],"maintenance":[65],"and":[66,101,163,168,171],"bandwidth":[68],"speed.":[69],"Therefore,":[70],"multi-core":[71],"great":[74],"importance":[75],"as":[76],"gives":[78],"intermediate":[80],"speedup":[84],"without":[85],"jeopardizing":[86],"performance.":[88],"In":[89],"this":[90],"work,":[91],"transform":[93,119,153],"single":[98],"core/multi-core":[99],"developed":[102],"C#":[104],"using.":[105],"Net":[106],"framework":[107],"4.0.":[108],"This":[109,136],"study":[110],"presents":[111],"efficient":[113],"compute":[116],"DWT":[118],"with":[120,175],"Adaptive":[121],"Load":[122],"Balancing":[123],"Algorithm":[124],"(ALBA)":[125],"applied":[128],"standard":[130],"form":[131],"general-purpose":[134],"computers.":[135],"technique":[137],"does":[138],"not":[139],"introduce":[140],"any":[141],"restriction":[142],"size":[145],"input":[148],"data":[149],"or":[150],"parameters.":[154],"Complete":[155],"use":[156],"available":[159],"processor":[160],"parallelism,":[161],"modularity,":[162],"scalability":[164],"are":[165,173],"achieved.":[166],"Theoretical":[167],"experimental":[169],"evaluations":[170],"comparisons":[172],"given":[174],"respect":[176],"traditional":[178],"parallelization.":[179]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
