Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/496
Title: Real-time emergency forecasting technique for situation management systems
Authors: Tebueva, F. B.
Тебуева, Ф. Б.
Keywords: Computation theory;Computational methods;Correlation methods;Decision making;Forecasting;Fractal dimension;Information system;Reliability analysis
Issue Date: 2018
Publisher: Institute of Physics Publishing
Citation: Kopytov, V.V., Kharechkin, P.V., Naumenko, V.V., Tretyak, R.S., Tebueva, F.B. Real-time emergency forecasting technique for situation management systems // Journal of Physics: Conference Series. - 2018. - Volume 1015. - Issue 4. - статья № 042018
Series/Report no.: Journal of Physics: Conference Series
Abstract: The article describes the real-time emergency forecasting technique that allows increasing accuracy and reliability of forecasting results of any emergency computational model applied for decision making in situation management systems. Computational models are improved by the Improved Brown's method applying fractal dimension to forecast short time series data being received from sensors and control systems. Reliability of emergency forecasting results is ensured by the invalid sensed data filtering according to the methods of correlation analysis
URI: https://www.scopus.com/record/display.uri?eid=2-s2.0-85047737169&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=e8b1e6bfede530617390e7deae26e9c5&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=5&citeCnt=0&searchTerm=
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