Perceptron ann control of array sensors and transmitters with different activation functions for 5G wireless systems
| Autor: | Al-Hj Othman, S.R.H. Hoole, Ramiah Harikrishnan, Norhuzaimin Julai, K.S. Senthilkumar, P.R.P Hoole, K. Pirapaharan |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies Artificial neural network business.industry Computer science 0211 other engineering and technologies Condition monitoring 020206 networking & telecommunications 02 engineering and technology Perceptron 0202 electrical engineering electronic engineering information engineering Wireless Power cable Embedding business 5G Computer hardware |
| Zdroj: | 2017 International Conference on Signal Processing and Communication (ICSPC). |
| Popis: | Successful development of a fast, low memory Perceptron Artificial Neural Network (ANN) based electromagnetic signal processor for array sensors has spurred the interest in embedding the electromagnetic signal processor in highly portable (e.g. to be attached to a drone) Arduino as well as in fast parallel Graphic processing Unit (GPU) based systems. In this paper we report the initial results on the embedded system, while also improving on the perceptron based array beam forming with effective activation functions. The paper also explores the effectiveness of different geometrical arrangements of the array system for different applications from wireless communication, medical EEG data acquisition and analysis to power cable condition monitoring and diagnosis. |
| Databáze: | OpenAIRE |
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