{"id":"https://openalex.org/W4310005000","doi":"https://doi.org/10.5281/zenodo.7368473","title":"Video Camera and Sensor Status Monitoring System in IoT Environments","display_name":"Video Camera and Sensor Status Monitoring System in IoT Environments","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4310005000","doi":"https://doi.org/10.5281/zenodo.7368473"},"language":"en","primary_location":{"id":"pmh:oai:doaj.org/article:9cffd4ec03784b42a77b1d877b0793a8","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/9cffd4ec03784b42a77b1d877b0793a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 2, Pp 332-335 (2022)","raw_type":"article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/9cffd4ec03784b42a77b1d877b0793a8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058883861","display_name":"Nikita Besednyi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I197524780","display_name":"Petrozavodsk State University","ror":"https://ror.org/0176aa147","country_code":"RU","type":"education","lineage":["https://openalex.org/I197524780"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Besednyi, Nikita","raw_affiliation_strings":["Petrozavodsk State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petrozavodsk State University","institution_ids":["https://openalex.org/I197524780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016040444","display_name":"Artur Harkovchuk","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I197524780","display_name":"Petrozavodsk State University","ror":"https://ror.org/0176aa147","country_code":"RU","type":"education","lineage":["https://openalex.org/I197524780"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Harkovchuk, Artur","raw_affiliation_strings":["Petrozavodsk State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petrozavodsk State University","institution_ids":["https://openalex.org/I197524780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085943715","display_name":"Dmitry Georzhevich Korzun","orcid":"https://orcid.org/0000-0003-1723-5247","observed_orcids":["https://orcid.org/0000-0003-1723-5247"]},"institutions":[{"id":"https://openalex.org/I197524780","display_name":"Petrozavodsk State University","ror":"https://ror.org/0176aa147","country_code":"RU","type":"education","lineage":["https://openalex.org/I197524780"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Korzun, Dmitry","raw_affiliation_strings":["Petrozavodsk State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petrozavodsk State University","institution_ids":["https://openalex.org/I197524780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197524780"],"apc_list":null,"apc_paid":null,"fwci":0.0823,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35128168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.6021000146865845,"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":0.6021000146865845,"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/T10616","display_name":"Smart Agriculture and AI","score":0.07590000331401825,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.04670000076293945,"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/video-camera-monitoring","display_name":"video camera monitoring","score":0.8040000200271606},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.8840000033378601},{"id":"https://openalex.org/keywords/ambient-intelligence","display_name":"ambient intelligence","score":0.9670000076293945},{"id":"https://openalex.org/keywords/sensor-fault-detection","display_name":"sensor fault detection","score":0.7400000095367432},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.8299999833106995},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.6389999985694885},{"id":"https://openalex.org/keywords/contextual-analysis","display_name":"contextual analysis","score":0.9729999899864197},{"id":"https://openalex.org/keywords/smart-sensors","display_name":"smart sensors","score":0.7139999866485596}],"concepts":[{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.710800051689148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6989693641662598},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4547712802886963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4228765368461609},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41545552015304565},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3795366883277893},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.35023775696754456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34332388639450073},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16731709241867065}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:doaj.org/article:9cffd4ec03784b42a77b1d877b0793a8","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/9cffd4ec03784b42a77b1d877b0793a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 2, Pp 332-335 (2022)","raw_type":"article"},{"id":"doi:10.5281/zenodo.7368473","doi":"https://doi.org/10.5281/zenodo.7368473","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.7368473","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferencePaper"},{"id":"doi:10.5281/zenodo.7368474","doi":"https://doi.org/10.5281/zenodo.7368474","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.7368474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:9cffd4ec03784b42a77b1d877b0793a8","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/9cffd4ec03784b42a77b1d877b0793a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 2, Pp 332-335 (2022)","raw_type":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7161956048","https://openalex.org/W4387546417","https://openalex.org/W4393110724","https://openalex.org/W7109506573","https://openalex.org/W75495847","https://openalex.org/W3114155786","https://openalex.org/W4398131557","https://openalex.org/W4415736029","https://openalex.org/W2980912204","https://openalex.org/W7099875222"],"abstract_inverted_index":{"Recent":[0],"progress":[1],"in":[2,14,98,115],"Ambient":[3],"Intelligence":[4],"(AmI)":[5],"technology":[6],"leads":[7],"to":[8,48,72],"many":[9],"proposals":[10],"of":[11,33,35,43,61,65,100,112],"sensing":[12],"systems":[13,22],"the":[15,26,59,63,76,110,113],"physical,":[16],"informational,":[17],"and":[18,39,51,86,104],"social":[19],"worlds.":[20],"Such":[21],"focus":[23],"primarily":[24],"on":[25,83],"sensed":[27],"data":[28],"retrieval,":[29],"including":[30],"advanced":[31],"cases":[32],"Internet":[34],"Things":[36],"(IoT)":[37],"sensors":[38],"video":[40,67],"capture.":[41],"Operation":[42],"a":[44,66,91,95],"sensor":[45,71,96],"is":[46,81],"subject":[47],"faults,":[49],"anomalies,":[50],"outliers.":[52],"In":[53],"this":[54],"work-in-progress":[55],"paper,":[56],"we":[57],"consider":[58],"problem":[60],"tracking":[62],"operation":[64,101],"camera":[68],"or":[69],"environment":[70],"recognize":[73],"deviations":[74],"from":[75],"expected":[77],"function.":[78],"The":[79],"recognition":[80,103],"based":[82],"neural":[84],"network":[85],"context":[87],"analysis.":[88],"We":[89],"implemented":[90],"module":[92,114],"that":[93],"makes":[94],"smart":[97],"terms":[99],"status":[102],"its":[105],"self-understanding.":[106],"Our":[107],"demo":[108],"shows":[109],"applicability":[111],"IoT":[116],"monitoring":[117],"systems.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2022-11-30T00:00:00"}