{"id":"https://openalex.org/W2981984048","doi":"https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00080","title":"An Improved Dynamic Frequency Scaling Approach for Energy Saving Based RBF Neural Network","display_name":"An Improved Dynamic Frequency Scaling Approach for Energy Saving Based RBF Neural Network","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2981984048","doi":"https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00080","mag":"2981984048"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00080","pdf_url":null,"source":null,"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/A5049895041","display_name":"Deguang Li","orcid":"https://orcid.org/0000-0002-8653-813X"},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deguang Li","raw_affiliation_strings":["School of information technology, Luoyang normal University, Luoyang, China"],"affiliations":[{"raw_affiliation_string":"School of information technology, Luoyang normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027689782","display_name":"Ruiling Zhang","orcid":"https://orcid.org/0000-0002-7455-5960"},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiling Zhang","raw_affiliation_strings":["School of information technology, Luoyang normal University, Luoyang, China"],"affiliations":[{"raw_affiliation_string":"School of information technology, Luoyang normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046117844","display_name":"Shijie Jia","orcid":"https://orcid.org/0000-0002-6568-6934"},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijie Jia","raw_affiliation_strings":["School of information technology, Luoyang normal University, Luoyang, China"],"affiliations":[{"raw_affiliation_string":"School of information technology, Luoyang normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770476","display_name":"Yanling Jin","orcid":"https://orcid.org/0009-0004-6546-5201"},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanling Jin","raw_affiliation_strings":["School of information technology, Luoyang normal University, Luoyang, China"],"affiliations":[{"raw_affiliation_string":"School of information technology, Luoyang normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078021426","display_name":"Youzhong Ma","orcid":"https://orcid.org/0000-0002-7359-6592"},"institutions":[{"id":"https://openalex.org/I4210117164","display_name":"Luoyang Normal University","ror":"https://ror.org/029man787","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youzhong Ma","raw_affiliation_strings":["School of information technology, Luoyang normal University, Luoyang, China"],"affiliations":[{"raw_affiliation_string":"School of information technology, Luoyang normal University, Luoyang, China","institution_ids":["https://openalex.org/I4210117164"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012395425","display_name":"Junke Li","orcid":"https://orcid.org/0000-0002-9957-5650"},"institutions":[{"id":"https://openalex.org/I4210167317","display_name":"Qiannan Normal College For Nationalities","ror":"https://ror.org/05szpc322","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210167317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junke Li","raw_affiliation_strings":["College of Computer and Information, Qiannan Normal University for Nationalities, Qiannan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Qiannan Normal University for Nationalities, Qiannan, China","institution_ids":["https://openalex.org/I4210167317"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":61},"biblio":{"volume":"30","issue":null,"first_page":"361","last_page":"367"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9657,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9657,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9563,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9428,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.89603114}],"concepts":[{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.89603114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7582859},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.74140877},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.63380057},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.63332564},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4933969},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48059437},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.46599758},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36281443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26053256},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.20972815},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12244192},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09840134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.074421376},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/ithings/greencom/cpscom/smartdata.2019.00080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.91}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1971722377","https://openalex.org/W1984624661","https://openalex.org/W2004919352","https://openalex.org/W2075086017","https://openalex.org/W2099763202","https://openalex.org/W2099961254","https://openalex.org/W2116785402","https://openalex.org/W2117299787","https://openalex.org/W2121297016","https://openalex.org/W2124086570","https://openalex.org/W2148223488","https://openalex.org/W2151631516","https://openalex.org/W2155119470","https://openalex.org/W2163378939","https://openalex.org/W2551623175","https://openalex.org/W2687954969","https://openalex.org/W2802552971","https://openalex.org/W2903952937"],"related_works":["https://openalex.org/W79358250","https://openalex.org/W4387058461","https://openalex.org/W3003444660","https://openalex.org/W2734981703","https://openalex.org/W2519380192","https://openalex.org/W2493272674","https://openalex.org/W2342710299","https://openalex.org/W2165674946","https://openalex.org/W2082581695","https://openalex.org/W2007765565"],"abstract_inverted_index":{"Since":[0],"DVFS":[1,18,93],"does":[2],"not":[3],"consider":[4],"predicting":[5],"system":[6,39,46],"behavior":[7],"in":[8,12,19,83],"the":[9,57,67,72,110],"future":[10],"stage,":[11],"order":[13],"to":[14,42,55,71,80],"improve":[15],"efficiency":[16],"of":[17,66,97,100,113,121],"fine-grained,":[20],"we":[21,49,87],"proposes":[22],"a":[23],"CPU":[24,43,64,74,114],"utilization":[25,44,65,115],"prediction":[26,111],"model":[27,34,90,94,108],"based":[28],"on":[29],"RBF":[30],"neural":[31,53],"network.":[32],"Our":[33],"first":[35],"collects":[36],"five":[37],"typical":[38],"characteristics":[40,62,99],"related":[41],"during":[45],"running,":[47],"then":[48],"use":[50],"radial":[51],"basis":[52],"network":[54],"fit":[56],"nonlinear":[58],"relationship":[59],"between":[60],"these":[61],"and":[63,116],"next":[68],"period.":[69],"According":[70],"predicted":[73],"utilization,":[75],"frequency":[76,82,118],"scaling":[77,119],"is":[78],"performed":[79],"change":[81],"real":[84],"time.":[85],"Finally,":[86],"evaluate":[88],"our":[89,107],"with":[91],"classical":[92],"by":[95],"means":[96],"different":[98],"task":[101],"set.":[102],"Experimental":[103],"results":[104],"show":[105],"that":[106],"improves":[109],"accuracy":[112],"changes":[117],"effect":[120],"traditional":[122],"DVFS.":[123]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2981984048","counts_by_year":[],"updated_date":"2025-02-02T11:19:52.089260","created_date":"2019-11-01"}