Volume 1-Issue 2-2017

AEEESJ First Volume, Second Issue, free online download

Advanced Electrical and Electronics Engineering and Scientific Journal (AEEESJ)

ISSN:2520-7539


Processors Speed Acceleration Models Based on Single and Multi-Core Computing

James Sou Chin

AEEESJ28317-1

Abstract the power and energy normalisation to increase the performance of muti-core processors is one of the challenges for processors designers. Several models cover the power and performance of multi-core processors. In this work, we will try to explain such models and proposing an excellent model that concerns the advantages and drawbacks of these architecture models. The target is to get a high acceleration based on the optimum balance between power and performance. This is achieved by including additional process’s features. For multi-core processors using the pipelining techniques show a very high acceleration but with low power and energy normalisation. Working sequentially and concentrating on the multi- core principle show an adequate speed acceleration with high normalised power and energy. The results show better performance using the extended model between 0.08% to 0.15%.


Minimising of Energy-Consuming of Power Allocation in OFDM-Based Cognitive Radio Systems Using a Modified Water-Filling Algorithm

M. S. Joshi and S.R Kumar

AEEESJ28317-2

In this work, the water-filling system is proposed to calculate the energy is consuming of power allocation in OFDM-based cognitive radio systems. The conventional water-filling algorithm shows high complexity. To minimise this complexity and to minimise the energy-consuming, a simplified water-filling algorithm is modified. It was evident from extracted results that lowering complexity and minimising the energy-consuming will affect the performance of the system regarding the probability of error mainly. The proposed algorithm can be improved if the secondary multi-carrier system is considered instead of the initial allocation.