Title :
Embedded hardware architecture for statistical rain forecast
Author :
Meindl, T. ; Moniaci, W. ; Pasero, Eros
Author_Institution :
Neuronica Lab., Turin Polytech., Italy
Abstract :
Weather forecasts are a typical problem where a huge amount of data coming from different types of sensors must be elaborated by means of complex, time consuming algorithms. In this paper we present a new embedded data mining system, based on a FPGA (Pasero, et al., 2004), which performs statistical data elaboration on sensorial data and provides nowcasting for the next one, two and three hours. The statistical algorithm has been tested for forecasts of temperature, humidity and rain and provides promising results.
Keywords :
data mining; embedded systems; field programmable gate arrays; rain; statistical analysis; weather forecasting; embedded data mining system; embedded hardware architecture; field programmable gate arrays; humidity forecast; sensorial data; statistical algorithm; statistical data elaboration; statistical rain forecast; temperature forecast; weather forecast; Battery management systems; Data processing; Energy management; Field programmable gate arrays; Hardware; Meteorology; Microcontrollers; Rain; Weather forecasting; Wireless sensor networks;
Conference_Titel :
Research in Microelectronics and Electronics, 2005 PhD
Print_ISBN :
0-7803-9345-7
DOI :
10.1109/RME.2005.1543011
