{"id":"https://openalex.org/W2045010693","doi":"https://doi.org/10.1109/cdc.2014.7039611","title":"Surviving the upcoming data deluge: A systems and control perspective","display_name":"Surviving the upcoming data deluge: A systems and control perspective","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2045010693","doi":"https://doi.org/10.1109/cdc.2014.7039611","mag":"2045010693"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2014.7039611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2014.7039611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"53rd IEEE Conference on Decision and Control","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/A5074266892","display_name":"Mario Sznaier","orcid":"https://orcid.org/0000-0003-4439-3988"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mario Sznaier","raw_affiliation_strings":["M. Sznaier and O. Camps are with the ECE Dept., Northeastern University, Boston, MA","ECE Department, Northeastern University, Boston, MA 02115 USA"],"affiliations":[{"raw_affiliation_string":"M. Sznaier and O. Camps are with the ECE Dept., Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"ECE Department, Northeastern University, Boston, MA 02115 USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047038311","display_name":"Octavia Camps","orcid":"https://orcid.org/0000-0003-1945-9172"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Octavia Camps","raw_affiliation_strings":["M. Sznaier and O. Camps are with the ECE Dept., Northeastern University, Boston, MA","ECE Department, Northeastern University, Boston, MA 02115 USA"],"affiliations":[{"raw_affiliation_string":"M. Sznaier and O. Camps are with the ECE Dept., Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"ECE Department, Northeastern University, Boston, MA 02115 USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054418471","display_name":"Necmiye \u00d6zay","orcid":"https://orcid.org/0000-0002-5552-4392"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Necmiye Ozay","raw_affiliation_strings":["EECS Dept., University of Michigan, Ann Arbor, MI","EECS Dept., University of Michigan, Ann Arbor, 48109, USA"],"affiliations":[{"raw_affiliation_string":"EECS Dept., University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"EECS Dept., University of Michigan, Ann Arbor, 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035668981","display_name":"Constantino Lagoa","orcid":"https://orcid.org/0000-0001-6871-3240"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]},{"id":"https://openalex.org/I4179309","display_name":"Park University","ror":"https://ror.org/04ngpga37","country_code":"US","type":"education","lineage":["https://openalex.org/I4179309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Constantino Lagoa","raw_affiliation_strings":["EE Dept., University Park, PA","EE Dept., Penn State University, University Park, 16802, USA"],"affiliations":[{"raw_affiliation_string":"EE Dept., University Park, PA","institution_ids":["https://openalex.org/I4179309"]},{"raw_affiliation_string":"EE Dept., Penn State University, University Park, 16802, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074266892"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80634387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1488","last_page":"1498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9902999997138977,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9750999808311462,"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/perspective","display_name":"Perspective (graphical)","score":0.7232778072357178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6627122759819031},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.441976398229599},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4345259666442871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.180007666349411}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7232778072357178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6627122759819031},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.441976398229599},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4345259666442871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.180007666349411}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2014.7039611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2014.7039611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"53rd IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W56210758","https://openalex.org/W1537607066","https://openalex.org/W1550510068","https://openalex.org/W1916337001","https://openalex.org/W1967184028","https://openalex.org/W1967344706","https://openalex.org/W1983800022","https://openalex.org/W1992283848","https://openalex.org/W1994149021","https://openalex.org/W1997272744","https://openalex.org/W1999206215","https://openalex.org/W2007093507","https://openalex.org/W2020324497","https://openalex.org/W2026693824","https://openalex.org/W2032415923","https://openalex.org/W2033403400","https://openalex.org/W2071550336","https://openalex.org/W2072508748","https://openalex.org/W2077303678","https://openalex.org/W2083880268","https://openalex.org/W2086241869","https://openalex.org/W2099239572","https://openalex.org/W2101091453","https://openalex.org/W2106910805","https://openalex.org/W2107861471","https://openalex.org/W2112027492","https://openalex.org/W2114110112","https://openalex.org/W2118550318","https://openalex.org/W2119548491","https://openalex.org/W2129903196","https://openalex.org/W2136912397","https://openalex.org/W2138353699","https://openalex.org/W2146634731","https://openalex.org/W2150627493","https://openalex.org/W2153026700","https://openalex.org/W2164278908","https://openalex.org/W2170581571","https://openalex.org/W2177347332","https://openalex.org/W2506230130","https://openalex.org/W3013880646","https://openalex.org/W3158545573","https://openalex.org/W4244030505","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W6677968238","https://openalex.org/W6679211187","https://openalex.org/W6775374427","https://openalex.org/W6794925227","https://openalex.org/W7034449035"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2149537132","https://openalex.org/W2376932109","https://openalex.org/W2018871932","https://openalex.org/W2001405890","https://openalex.org/W2202104624"],"abstract_inverted_index":{"Arguably,":[0],"one":[1],"of":[2,26,40,90,95,126,133,146],"the":[3,7,14,24,67,75,82,88,101,124,144],"biggest":[4],"challenges":[5,87],"facing":[6],"systems":[8],"and":[9,131,136],"control":[10,42],"community":[11],"stems":[12],"from":[13,45,74],"exponential":[15],"growth":[16],"in":[17,108,149],"data":[18,78],"collection":[19],"capabilities,":[20],"made":[21],"possible":[22],"by":[23,81,115],"development":[25],"low":[27,30],"cost,":[28],"ultra":[29],"power":[31],"sensors.":[32],"These":[33],"developments":[34],"have":[35],"rendered":[36],"feasible":[37],"a":[38,84,117,154],"spectrum":[39],"new":[41],"applications,":[43],"ranging":[44],"zero":[46],"emission":[47],"buildings":[48],"to":[49,69,99],"reconfigurable,":[50],"self":[51],"aware":[52],"environments,":[53],"that":[54,86,104,138],"can":[55,106],"profoundly":[56],"impact":[57],"society.":[58],"However,":[59],"realizing":[60],"this":[61,96,110,139],"potential,":[62],"requires":[63],"endowing":[64],"controllers":[65],"with":[66],"ability":[68],"timely":[70],"extract":[71],"actionable":[72],"information":[73,127],"very":[76],"large":[77],"streams":[79],"generated":[80],"sensors,":[83],"goal":[85,94],"capabilities":[89],"existing":[91],"techniques.":[92],"The":[93],"paper":[97],"is":[98,113],"show":[100],"key":[102],"role":[103],"dynamics":[105],"play":[107],"accomplishing":[109],"task.":[111],"This":[112],"accomplished":[114],"establishing":[116],"connection,":[118],"largely":[119],"unexplored":[120],"until":[121],"recently,":[122],"between":[123],"problems":[125],"extraction,":[128],"manifold":[129],"embedding":[130],"identification":[132],"switched":[134],"systems,":[135],"showing":[137],"connection":[140],"allows":[141],"for":[142],"recasting":[143],"problem":[145],"decision":[147],"making":[148],"\u201cdata":[150],"deluged\u201d":[151],"scenarios":[152],"into":[153],"tractable":[155],"convex":[156],"optimization":[157],"form.":[158]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
