{"id":"https://openalex.org/W2609997944","doi":"https://doi.org/10.1142/s1793962317500490","title":"An efficient complex event detection model for high proportion disordered RFID event stream","display_name":"An efficient complex event detection model for high proportion disordered RFID event stream","publication_year":2017,"publication_date":"2017-04-25","ids":{"openalex":"https://openalex.org/W2609997944","doi":"https://doi.org/10.1142/s1793962317500490","mag":"2609997944"},"language":"en","primary_location":{"id":"doi:10.1142/s1793962317500490","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962317500490","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-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/A5100420031","display_name":"Jianhua Wang","orcid":"https://orcid.org/0000-0001-6090-1300"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Wang","raw_affiliation_strings":["College of Electronic Engineering, South China Agricultural University, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, South China Agricultural University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361699","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0001-8697-3089"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun liu","raw_affiliation_strings":["College of Automation, Guangdong Polytechnic Normal University, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Guangdong Polytechnic Normal University, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453403","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0001-7044-4377"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["College of Automation, Guangdong University of Technology, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Guangdong University of Technology, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032362514","display_name":"Lianglun Cheng","orcid":"https://orcid.org/0000-0002-8213-041X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianglun Cheng","raw_affiliation_strings":["College of Automation, Guangdong University of Technology, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Automation, Guangdong University of Technology, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100420031"],"corresponding_institution_ids":["https://openalex.org/I101479585"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.047586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"08","issue":"04","first_page":"1750049","last_page":"1750049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10986","display_name":"RFID technology advancements","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/event","display_name":"Event (particle physics)","score":0.746017575263977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118592858314514},{"id":"https://openalex.org/keywords/nondeterministic-algorithm","display_name":"Nondeterministic algorithm","score":0.6751692295074463},{"id":"https://openalex.org/keywords/complex-event-processing","display_name":"Complex event processing","score":0.6749765276908875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38365551829338074},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3835035264492035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3661084473133087},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3009834885597229},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.14354130625724792}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.746017575263977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118592858314514},{"id":"https://openalex.org/C176181172","wikidata":"https://www.wikidata.org/wiki/Q3490301","display_name":"Nondeterministic algorithm","level":2,"score":0.6751692295074463},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.6749765276908875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38365551829338074},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3835035264492035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3661084473133087},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3009834885597229},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.14354130625724792},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793962317500490","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962317500490","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1592479693","https://openalex.org/W1965604537","https://openalex.org/W1986381597","https://openalex.org/W2018021847","https://openalex.org/W2065278203","https://openalex.org/W2107014203","https://openalex.org/W2135611729","https://openalex.org/W2165207129","https://openalex.org/W2166035648","https://openalex.org/W2184504692","https://openalex.org/W2247317079","https://openalex.org/W2510745675","https://openalex.org/W3125310896"],"related_works":["https://openalex.org/W184826316","https://openalex.org/W1607805252","https://openalex.org/W2397597979","https://openalex.org/W2799235612","https://openalex.org/W4308672222","https://openalex.org/W1835640443","https://openalex.org/W413387906","https://openalex.org/W2339609534","https://openalex.org/W2072592647","https://openalex.org/W2185730957"],"abstract_inverted_index":{"With":[0],"the":[1,5,24,58,62,79,90,121,124,132,141,150,158,190],"aim":[2],"of":[3,57,81,112,123,185],"solving":[4],"detection":[6,12,41,69,80,109,117,122,144,170,174,178],"problems":[7,151],"for":[8,19,85,127,180],"current":[9],"complex":[10,21,39,67,87,107,115,129,187],"event":[11,18,22,29,40,68,84,88,95,108,116,130,137,184,188,195],"models":[13,167],"in":[14,52,98,161,168],"detecting":[15,181],"a":[16,20,82,86,104,128,182,186],"related":[17,83,125,183],"from":[23,89,131,189],"high":[25,91,133,191],"proportion":[26,92,134,192],"disordered":[27,93,135],"RFID":[28,94,136,194],"stream":[30,138],"due":[31],"to":[32,76,119],"its":[33],"big":[34],"uncertainty":[35],"arrival,":[36],"an":[37,65,113],"efficient":[38,66],"model":[42,70,110,118,160],"based":[43,71],"on":[44,61,72],"Extended":[45],"Nondeterministic":[46],"Finite":[47],"Automaton":[48],"(ENFA)":[49],"is":[50,74],"proposed":[51,159],"this":[53,162],"paper.":[54],"The":[55,153],"achievement":[56],"paper":[59,163],"rests":[60],"fact":[63],"that":[64,157],"ENFA":[73],"presented":[75],"successfully":[77,102],"realize":[78,120],"stream.":[96,196],"Specially,":[97],"our":[99],"model,":[100,145],"we":[101],"use":[103],"new":[105],"ENFA-based":[106],"instead":[111],"NFA-based":[114,143],"events":[126],"by":[139],"expanding":[140],"traditional":[142],"which":[146],"can":[147],"effectively":[148],"address":[149],"above.":[152],"experimental":[154],"results":[155],"show":[156],"outperforms":[164],"some":[165],"general":[166],"saving":[169],"time,":[171],"memory":[172],"consumption,":[173],"latency":[175],"and":[176],"improving":[177],"throughput":[179],"out-of-order":[193]},"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"}