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The article presents the usage of the SaaS cloud computing model in "intelligent house" systems for optimization of computation load between the client and server parts of the system. Also was developed artificial neural network model for detection of irrational electricity usage by devices of the "intellectual house".
Program of efficient implementation of the discrete cosine transform of type-II using cyclic convolutions have been considered. The stages of automatic code generation of computing of DCT-II for arbitrary size N have been determined. The algorithm of DCT-II presents a better program performance for sizes of transform less than N=100, if compared with FFTW library.
This article is devoted to the developed method of development Smart-House-Systems Models, based on Petri-Markov Nets, and extended by functional components (sensors and actuators).
In the paper, the spectrum analyzer of vibration accelerations using the Raspberry Pi microcomputer and 3-axis digital MEMS ADXL345 accelerometer has been developed. The system includes accelerometer driver for Raspberry Pi, software for data acquiring and processing from the acceleration sensor, conversion of the vibration acceleration signals from time domain into frequency domain using DFT, graph...
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