{"id":"https://openalex.org/W2909996329","doi":"https://doi.org/10.3390/informatics6010005","title":"Statistical Deadband: A Novel Approach for Event-Based Data Reporting","display_name":"Statistical Deadband: A Novel Approach for Event-Based Data Reporting","publication_year":2019,"publication_date":"2019-01-18","ids":{"openalex":"https://openalex.org/W2909996329","doi":"https://doi.org/10.3390/informatics6010005","mag":"2909996329"},"language":"en","primary_location":{"id":"doi:10.3390/informatics6010005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics6010005","pdf_url":"https://www.mdpi.com/2227-9709/6/1/5/pdf?version=1547796957","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-9709/6/1/5/pdf?version=1547796957","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052861209","display_name":"Nunzio Marco Torrisi","orcid":"https://orcid.org/0000-0002-1273-7152"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Nunzio Marco Torrisi","raw_affiliation_strings":["Center of Mathematics, Computing and Cognition, Federal University of ABC, S\u00e3o Bernardo do Campo (SP) 09606-045, Brazil"],"affiliations":[{"raw_affiliation_string":"Center of Mathematics, Computing and Cognition, Federal University of ABC, S\u00e3o Bernardo do Campo (SP) 09606-045, Brazil","institution_ids":["https://openalex.org/I71715416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052861209"],"corresponding_institution_ids":["https://openalex.org/I71715416"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00942915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7310870885848999},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.49436044692993164},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.46039265394210815},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4452996253967285},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.43320178985595703},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4325963258743286},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4135248064994812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16367608308792114},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15660294890403748},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13223198056221008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310870885848999},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.49436044692993164},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.46039265394210815},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4452996253967285},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.43320178985595703},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4325963258743286},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4135248064994812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16367608308792114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15660294890403748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13223198056221008},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/informatics6010005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics6010005","pdf_url":"https://www.mdpi.com/2227-9709/6/1/5/pdf?version=1547796957","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:03d5d34ec5e942ad99b9596a62e90a10","is_oa":true,"landing_page_url":"https://doaj.org/article/03d5d34ec5e942ad99b9596a62e90a10","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics, Vol 6, Iss 1, p 5 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2227-9709/6/1/5/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/informatics6010005","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/informatics6010005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/informatics6010005","pdf_url":"https://www.mdpi.com/2227-9709/6/1/5/pdf?version=1547796957","source":{"id":"https://openalex.org/S2738238905","display_name":"Informatics","issn_l":"2227-9709","issn":["2227-9709"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2909996329.pdf","grobid_xml":"https://content.openalex.org/works/W2909996329.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1512584621","https://openalex.org/W1592109218","https://openalex.org/W1973504572","https://openalex.org/W1987711644","https://openalex.org/W1992323389","https://openalex.org/W1995780862","https://openalex.org/W2009102111","https://openalex.org/W2019603665","https://openalex.org/W2029178567","https://openalex.org/W2032897637","https://openalex.org/W2058692633","https://openalex.org/W2075838895","https://openalex.org/W2076749670","https://openalex.org/W2077930699","https://openalex.org/W2098477381","https://openalex.org/W2103013786","https://openalex.org/W2107871863","https://openalex.org/W2118049332","https://openalex.org/W2124185323","https://openalex.org/W2126072285","https://openalex.org/W2136367321","https://openalex.org/W2157214632","https://openalex.org/W2158498838","https://openalex.org/W2162916608","https://openalex.org/W2167626999","https://openalex.org/W2484091143","https://openalex.org/W2554270042","https://openalex.org/W2587607554","https://openalex.org/W2624808316","https://openalex.org/W2953663055","https://openalex.org/W3114397491","https://openalex.org/W4399496029","https://openalex.org/W6678881810","https://openalex.org/W6738794393","https://openalex.org/W6869562249","https://openalex.org/W6870142428"],"related_works":["https://openalex.org/W2795206833","https://openalex.org/W3183730129","https://openalex.org/W2970045733","https://openalex.org/W3035045542","https://openalex.org/W2615355269","https://openalex.org/W2982176604","https://openalex.org/W3091500601","https://openalex.org/W4285182199","https://openalex.org/W4300934249","https://openalex.org/W4214734444"],"abstract_inverted_index":{"Deadband":[0],"algorithms":[1,58,74,91],"are":[2],"implemented":[3],"inside":[4],"industrial":[5,44],"gateways":[6],"to":[7,32],"reduce":[8],"the":[9,19,34,37,50,79,98,115,127,131,141],"volume":[10],"of":[11,40,54,81,106,122],"data":[12],"sent":[13],"across":[14],"different":[15],"networks.":[16],"By":[17],"tuning":[18],"deadband":[20,57,143],"sampling":[21],"resolution":[22],"by":[23,43,64,87,96],"a":[24,82,103],"preset":[25,83],"interval":[26],"\u0394":[27],",":[28],"it":[29],"is":[30,85],"possible":[31],"estimate":[33],"balance":[35],"between":[36],"traffic":[38],"rates":[39],"networks":[41],"connected":[42],"SCADA":[45],"gateways.":[46],"This":[47],"work":[48],"describes":[49],"design":[51],"and":[52,94,100,124],"implementation":[53],"two":[55],"original":[56],"based":[59],"on":[60],"statistical":[61,73,128],"concepts":[62],"derived":[63],"John":[65],"Bollinger":[66],"in":[67,114,120],"his":[68],"financial":[69],"technical":[70],"analysis.":[71],"The":[72,110],"proposed":[75],"do":[76],"not":[77,136],"require":[78],"setup":[80],"interval\u2014this":[84],"required":[86],"non-statistical":[88,142],"algorithms.":[89,144],"All":[90],"were":[92,135],"evaluated":[93],"compared":[95],"computing":[97,133],"effectiveness":[99,123],"fidelity":[101],"over":[102],"public":[104],"collection":[105],"random":[107],"pseudo-periodic":[108],"signals.":[109],"overall":[111],"performance":[112],"measured":[113,132],"simulations":[116],"showed":[117],"better":[118],"results,":[119],"terms":[121],"fidelity,":[125],"for":[126,140],"algorithms,":[129],"while":[130],"resources":[134],"as":[137,139],"efficient":[138]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}