This paper presents a low power fixed-width multiplier with row bypassing (FWM-RB) for multimedia applications. When the operands of the multiplier are zero, significant power reductions can be achieved if that particular row is disabled. This is done with the help of multiplexers incorporated in the Modified Full Adder (MFA). The design is developed by using Verilog-HDL and implemented using Cadence typical libraries of TSMC 90 nm technology with a supply voltage of 1.2 V. This work evaluates the performance of power, area and delay of fixed-width multipliers and it has been shown that the proposed architecture consumes lesser power as compared to the conventional fixed-width multipliers.
Apart from many limitations, the usage of hydrogen in different day-to-day applications have been increasing drastically in recent years. However, numerous techniques available to produce hydrogen, electrolysis of water is one of the simplest and cost-effective hydrogen production techniques. In this method, water is split into hydrogen and oxygen by using external electric current. In this research, a novel hydrogen production system incorporated with Photovoltaic -Thermal (PVT) solar collector is developed. The influence of different parameters like solar collector tilt angle, thermal collector design and type of heat transfer fluid on the performance of PVT system and hydrogen production system are also discussed. Finally, thermal efficiency, electrical efficiency, and hydrogen production rate have been predicted by using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique. Based on this study results, it can be inferred that the solar collector tilt angle plays a significant role to improve the performance of the electrical and thermal performance of PVT solar system and Hydrogen yield rate. On the other side, the spiral-shaped thermal collector with water exhibited better end result than the other hydrogen production systems. The predicted results ANFIS techniques represent an excellent agreement with the experimental results. In consequence, it is suggested that the developed ANFIS model can be adopted for further studies to predict the performance of the hydrogen production system.
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