Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23128
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dc.contributor.authorMishkovski, Igoren_US
dc.contributor.authorBasnarkov, Laskoen_US
dc.contributor.authorKocarev, Ljupchoen_US
dc.contributor.authorIlchev, Svetozaren_US
dc.contributor.authorAndreev, Rumenen_US
dc.date.accessioned2022-09-27T09:30:07Z-
dc.date.available2022-09-27T09:30:07Z-
dc.date.issued2014-11-05-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/23128-
dc.description.abstractThis paper presents a framework and a test bed for monitoring indoor working conditions and outdoor environment. In particular, we focus on developing: i) a test bed small Wireless Sensor Network (WSN) for monitoring indoor and outdoor environment parameters using low cost Arduino controllers, transceivers and sensors, and ii) real-time platform for analysis and mining of the sensor data. Together the two integral parts will offer not only monitoring, but also mining of the data and detection of any environmental anomalies.en_US
dc.relation.ispartofBig Data, Knowledge and Control Systems Engineeringen_US
dc.subjectBig Data, Sensor, WSN, Miningen_US
dc.titleBig Data Platform for Monitoring Indoor Working Conditions and Outdoor Environmenten_US
dc.typeJournal Articleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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