Embedded hardware architecture for statistical rain forecast

Author

Meindl, T. ; Moniaci, W. ; Pasero, Eros

Author_Institution

Neuronica Lab., Turin Polytech., Italy

Volume

1

fYear

2005

fDate

25-28 July 2005

Firstpage

133

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Research in Microelectronics and Electronics, 2005 PhD

Print_ISBN

0-7803-9345-7

Type

conf

DOI

10.1109/RME.2005.1543011

Filename

1543011