{"id":"https://openalex.org/W3163805471","doi":"https://doi.org/10.1145/3412382.3458775","title":"Multiple Event Detection using Minimum Inputs","display_name":"Multiple Event Detection using Minimum Inputs","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3163805471","doi":"https://doi.org/10.1145/3412382.3458775","mag":"3163805471"},"language":"en","primary_location":{"id":"doi:10.1145/3412382.3458775","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3412382.3458775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)","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/A5043235420","display_name":"Shashini Wanniarachchi","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Shashini Wanniarachchi","raw_affiliation_strings":["University of Bremen, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002273805","display_name":"Jens Dede","orcid":"https://orcid.org/0000-0002-8422-265X"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Dede","raw_affiliation_strings":["University of Bremen, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042834654","display_name":"Anna F\u00f6ster","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anna F\u00f6ster","raw_affiliation_strings":["University of Bremen, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043235420"],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05093137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"384","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7923232316970825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7850751876831055},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6517618894577026},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6010313630104065},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5042845010757446},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3877442181110382},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3735898733139038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3572247624397278},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.30205944180488586},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13731497526168823}],"concepts":[{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7923232316970825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850751876831055},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6517618894577026},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6010313630104065},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5042845010757446},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3877442181110382},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3735898733139038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3572247624397278},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.30205944180488586},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13731497526168823},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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:10.1145/3412382.3458775","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3412382.3458775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1991181258","https://openalex.org/W2059732136","https://openalex.org/W2556873370","https://openalex.org/W2610623618","https://openalex.org/W2617115183"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W2950174689","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261","https://openalex.org/W3031181660"],"abstract_inverted_index":{"To":[0],"go":[1],"with":[2],"the":[3,18,46,76,95,127,151,154,168],"current":[4],"trend":[5],"of":[6,12,61,78,106,116,135,150,156],"using":[7],"smart":[8],"environments":[9],"or":[10,35],"Internet":[11],"Things":[13],"(IoT)":[14],"and":[15,53,56,109],"to":[16,28,45,48,64,121,164],"make":[17],"human":[19],"life":[20],"easier,":[21],"many":[22,123],"systems":[23],"have":[24],"been":[25],"developed":[26],"up":[27],"date":[29],"which":[30],"use":[31],"special":[32],"purpose":[33,89],"sensing":[34,37,90],"direct":[36],"approaches.":[38],"However,":[39],"these":[40,72],"approaches":[41],"are":[42],"expensive":[43],"due":[44,63],"need":[47],"affix":[49],"sensors":[50,80,118],"on":[51,75],"each":[52],"every":[54],"equipment":[55],"also":[57],"they":[58],"lack":[59],"flexibility":[60],"usage":[62],"being":[65],"battery":[66],"powered.":[67],"As":[68],"a":[69,83,87,104,107,114,161],"solution":[70,163],"for":[71],"issues,":[73],"based":[74],"concept":[77],"synthetic":[79],"introduced":[81],"by":[82,94,143],"previous":[84],"research":[85],"work,":[86],"general":[88],"approach":[91,159],"is":[92,141,171],"discussed":[93],"present":[96],"study.":[97],"The":[98],"system":[99],"can":[100],"be":[101,112,165],"placed":[102],"in":[103,167],"corner":[105],"room":[108,128],"will":[110],"only":[111],"taking":[113],"maximum":[115],"three":[117],"into":[119],"account":[120],"detect":[122],"events":[124],"happening":[125],"across":[126],"making":[129],"it":[130],"rather":[131],"cost-effective.":[132],"Furthermore,":[133],"performance":[134],"several":[136],"machine":[137],"learning":[138],"(ML)":[139],"algorithms":[140],"analysed":[142],"this":[144,158],"work.":[145],"With":[146],"real":[147],"time":[148],"testing":[149],"proposed":[152],"system,":[153],"possibility":[155],"applying":[157],"as":[160],"cost-effective":[162],"used":[166],"day-to-day":[169],"work":[170],"proven.":[172]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}