Today the NOMA has exponential growth in the use of Optical Visible Light Communication (OVLC) due to good features such as high spectral efficiency, low BER, and flexibility. Moreover, it creates a huge demand for electronic devices with high-speed processing and data rates, which leads to more FPGA power consumption. Therefore; it is a big challenge for scientists and researchers today to recover this problem by reducing the FPGA power and size of the devices. The subject matter of this article is producing an algorithm model to reduce the power consumption of (Field Programmable Gate Array) FPGA used in the design of the Non-Orthogonal Multiple Access (NOMA) techniques applied in (OVLC) systems combined with a blue laser. However, The power consumption comes from Complex Digital Signal Processing (DSP) due to mathematical operations such as addition and multiplication which consume more FPGA power when compared with other parts of NOMA. The multiplication operation consumes more FPGA power than the additional operation. The article's goal is to propose low FPGA power consumption algorithms called recursive IFFT/FFT which reduce the FPGA power consumption by more than 45% compared with the model without the proposed algorithm using AMD Xilinx Kintex-7 with high-speed analogue card.
... Show MoreThe present paper deals with medical terms translation and its relationship with the medical text of Arabic and Spanish. Medical translation is the process of transferring texts related to the field of health and medicine to achieve an accurate effective translation from the source language text to the equivalent target language text. The most prominent medical translations are from English to Arabic as most of the syllabuses in Arab countries are taught in English.
Translation is an innovative work intended to render the original text in the source language into the target language with the highest level of linguistic and intellec
Preparation and Identification of some new Pyrazolopyrin derivatives and their Polymerizations study