{"id":"https://openalex.org/W2772761527","doi":"https://doi.org/10.1109/ictc.2017.8191062","title":"A study on super-efficient Monte Carlo integration using one-dimensional chaotic maps","display_name":"A study on super-efficient Monte Carlo integration using one-dimensional chaotic maps","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772761527","doi":"https://doi.org/10.1109/ictc.2017.8191062","mag":"2772761527"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2017.8191062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2017.8191062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5037498778","display_name":"Kentaro Fujitani","orcid":null},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kentaro Fujitani","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, Kumamoto University, Kumamoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015351071","display_name":"Akio Tsuneda","orcid":"https://orcid.org/0000-0002-6531-2043"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akio Tsuneda","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, Kumamoto University, Kumamoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037498778"],"corresponding_institution_ids":["https://openalex.org/I96036126"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1787449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"665","last_page":"667"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9976999759674072,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9976999759674072,"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/T10588","display_name":"Mathematical Dynamics and Fractals","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9394000172615051,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.8402235507965088},{"id":"https://openalex.org/keywords/monte-carlo-integration","display_name":"Monte Carlo integration","score":0.7878338098526001},{"id":"https://openalex.org/keywords/quasi-monte-carlo-method","display_name":"Quasi-Monte Carlo method","score":0.7142766714096069},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7122136354446411},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.6160873770713806},{"id":"https://openalex.org/keywords/monte-carlo-method-in-statistical-physics","display_name":"Monte Carlo method in statistical physics","score":0.5904019474983215},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.5638379454612732},{"id":"https://openalex.org/keywords/monte-carlo-molecular-modeling","display_name":"Monte Carlo molecular modeling","score":0.5416803956031799},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5390806198120117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5271969437599182},{"id":"https://openalex.org/keywords/dynamic-monte-carlo-method","display_name":"Dynamic Monte Carlo method","score":0.5064698457717896},{"id":"https://openalex.org/keywords/numerical-integration","display_name":"Numerical integration","score":0.4473176598548889},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3673635721206665},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.342926025390625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29185760021209717},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.20550790429115295},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14825156331062317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11777999997138977},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1070207953453064},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10474181175231934}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.8402235507965088},{"id":"https://openalex.org/C132725507","wikidata":"https://www.wikidata.org/wiki/Q39879","display_name":"Monte Carlo integration","level":5,"score":0.7878338098526001},{"id":"https://openalex.org/C63320529","wikidata":"https://www.wikidata.org/wiki/Q7269435","display_name":"Quasi-Monte Carlo method","level":5,"score":0.7142766714096069},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7122136354446411},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.6160873770713806},{"id":"https://openalex.org/C204493344","wikidata":"https://www.wikidata.org/wiki/Q6904698","display_name":"Monte Carlo method in statistical physics","level":5,"score":0.5904019474983215},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.5638379454612732},{"id":"https://openalex.org/C37669827","wikidata":"https://www.wikidata.org/wiki/Q6904703","display_name":"Monte Carlo molecular modeling","level":4,"score":0.5416803956031799},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5390806198120117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5271969437599182},{"id":"https://openalex.org/C122592724","wikidata":"https://www.wikidata.org/wiki/Q3855635","display_name":"Dynamic Monte Carlo method","level":3,"score":0.5064698457717896},{"id":"https://openalex.org/C127349201","wikidata":"https://www.wikidata.org/wiki/Q753445","display_name":"Numerical integration","level":2,"score":0.4473176598548889},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3673635721206665},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.342926025390625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29185760021209717},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.20550790429115295},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14825156331062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11777999997138977},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1070207953453064},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10474181175231934},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2017.8191062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2017.8191062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1980864082","https://openalex.org/W2043782855","https://openalex.org/W2147537385","https://openalex.org/W2152100192","https://openalex.org/W2171143352","https://openalex.org/W2482944896"],"related_works":["https://openalex.org/W4294677683","https://openalex.org/W4367155567","https://openalex.org/W2019600130","https://openalex.org/W590971457","https://openalex.org/W3107111207","https://openalex.org/W2364466961","https://openalex.org/W1548972748","https://openalex.org/W2374592211","https://openalex.org/W2151084831","https://openalex.org/W2347943802"],"abstract_inverted_index":{"Monte":[0,17,40],"Carlo":[1,18,41],"integration":[2,6,19,42],"is":[3],"a":[4,52],"numerical":[5],"method":[7],"using":[8,24,43],"random":[9,27,45],"numbers.":[10],"The":[11],"speed":[12],"of":[13,15,39],"convergence":[14],"the":[16,37],"can":[20],"be":[21],"faster":[22],"by":[23,30,48],"appropriate":[25],"chaotic":[26,32,44],"numbers":[28,46],"generated":[29,47],"one-dimensional":[31],"maps.":[33],"This":[34],"paper":[35],"discusses":[36],"efficiency":[38],"tent":[49],"maps":[50],"with":[51],"uniform":[53],"distribution.":[54]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}