{"id":"https://openalex.org/W2018389344","doi":"https://doi.org/10.1109/socc.2007.4545475","title":"Hierarchical power delivery network analysis using Markov chains","display_name":"Hierarchical power delivery network analysis using Markov chains","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2018389344","doi":"https://doi.org/10.1109/socc.2007.4545475","mag":"2018389344"},"language":"en","primary_location":{"id":"doi:10.1109/socc.2007.4545475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2007.4545475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International SOC Conference","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/A5077024003","display_name":"Pei-Yu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Yu Huang","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan","Dept. of Communication Engineering, National Chiao-Tung University, Hsinchu, 300 Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Dept. of Communication Engineering, National Chiao-Tung University, Hsinchu, 300 Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100881117","display_name":"Chih\u2010Kang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Kang Lin","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan","Dept. of Communication Engineering, National Chiao-Tung University, Hsinchu, 300 Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Dept. of Communication Engineering, National Chiao-Tung University, Hsinchu, 300 Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006193680","display_name":"Yu\u2010Min Lee","orcid":"https://orcid.org/0000-0002-4009-924X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Min Lee","raw_affiliation_strings":["National Chiao Tung University, Hsinchu, Taiwan","Dept. of Communication Engineering, National Chiao-Tung University, Hsinchu, 300 Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Dept. of Communication Engineering, National Chiao-Tung University, Hsinchu, 300 Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3592,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6412251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"283","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11444","display_name":"Electromagnetic Compatibility and Noise Suppression","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11444","display_name":"Electromagnetic Compatibility and Noise Suppression","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9940999746322632,"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"}},{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/markov-chain","display_name":"Markov chain","score":0.8893440961837769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266768217086792},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.6678307056427002},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5436491370201111},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.49369320273399353},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.43394210934638977},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4167252480983734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19737961888313293},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12383732199668884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1169876754283905}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.8893440961837769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266768217086792},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.6678307056427002},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5436491370201111},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.49369320273399353},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.43394210934638977},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4167252480983734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19737961888313293},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12383732199668884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1169876754283905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc.2007.4545475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2007.4545475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International SOC Conference","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":14,"referenced_works":["https://openalex.org/W1506342804","https://openalex.org/W2063668285","https://openalex.org/W2096559782","https://openalex.org/W2099647435","https://openalex.org/W2110295511","https://openalex.org/W2115314588","https://openalex.org/W2131267076","https://openalex.org/W2167064216","https://openalex.org/W2171236961","https://openalex.org/W2724336187","https://openalex.org/W4244050449","https://openalex.org/W4256630426","https://openalex.org/W6684913354","https://openalex.org/W6685440189"],"related_works":["https://openalex.org/W2027903142","https://openalex.org/W3166133680","https://openalex.org/W2989366387","https://openalex.org/W2735859191","https://openalex.org/W2592341669","https://openalex.org/W2794873331","https://openalex.org/W2376290921","https://openalex.org/W4252142810","https://openalex.org/W2387462590","https://openalex.org/W50519898"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,29,43,59,84],"Markov":[4,31,45,53,62],"chain":[5,63],"based":[6],"hierarchical":[7,60],"method":[8,81,114],"to":[9,57,65],"efficiently":[10],"analyze":[11,66],"the":[12,17,34,51,67,77,103,112],"power":[13,68],"delivery":[14,69],"network.":[15,70],"After":[16],"network":[18],"being":[19],"partitioned":[20],"into":[21,28],"several":[22],"subnetworks,":[23],"each":[24],"subnetwork":[25],"is":[26],"transformed":[27],"local":[30,49],"chain.":[32,46],"Then,":[33],"connective":[35],"relations":[36],"between":[37],"all":[38],"subnetworks":[39],"are":[40,55],"modeled":[41],"as":[42],"global":[44,52],"Finally,":[47],"those":[48],"and":[50,106,116],"chains":[54],"incorporated":[56],"build":[58],"bipartite":[61],"engine":[64],"The":[71],"experimental":[72],"results":[73],"not":[74],"only":[75],"demonstrate":[76],"accuracy":[78],"of":[79],"proposed":[80],"compared":[82],"with":[83],"very":[85],"accurate":[86],"time":[87],"domain":[88],"solver":[89],"[1],":[90],"but":[91],"also":[92],"show":[93],"its":[94],"significant":[95],"runtime":[96],"improvement,":[97],"over":[98,107],"200":[99],"times":[100,109],"faster":[101,110],"than":[102,111],"InductWise":[104],"[1]":[105],"10":[108],"IEKS":[113],"[2],":[115],"less":[117],"memory":[118],"usage.":[119]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
