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In this paper, Zirconium dioxide nanoparticle has been synthesized using wet chemical methods at room temperature. The structural characterization (SEM / X-ray Diffraction) of the nanoscaled Zirconium Dioxide is discussed in this paper. The particle size of the ZrO 2 is observed in the range of 50-100 nm. It is expected that both the nanoscaling and the high dielectric constant of ZrO 2 would be an advantage while fabricating a FET. The conventional dielectric SiO 2 used for gate , with a dielectric constant of >3.9, obviously cannot survive the challenge of an End of Oxide Thickness (EOT ≤ 1 nm). The synthesized ZrO 2 in the nanoscale is subjected for impedance analysis (results are presented here) and is found to have a dielectric constant of 23. Due to the high-κ value, it is expected to be superior than SiO 2 as a gate material.

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Efficient approach for power flow management of hybrid renewable energy system connected smart grid system is proposed in this paper. Here, the proposed approach is the combination of both the modified elephant herding optimization algorithm with tabu search algorithm named as MEHOTSA. In the proposed technique, the modified elephant herding optimization algorithm plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals database for the offline way in light of the power variety between source side and the load side. The multi-objective function is shaped by the grid required active power and reactive power varieties generated based on the accessible source power. The accomplished dataset is used to work the Tabu search algorithm on the online way and it leads the control procedure in less execution time. The proposed technique-based control model enhances the control parameters of the power controller in light of the power flow varieties. By utilizing the proposed methodology, the power flow management of the smart grid system is controlled dependent on the source side and load side parameters varieties. Additionally, the proposed methodology is in charge of controlling the energy sources so as to produce the power demanded by the grid, utilizing optimally both renewable energy sources and energy storage devices. Finally, the proposed model be actualized in MATLAB/Simulink platform and the performance are compared with other techniques.

Abstract-Heart sounds interfere with lung sounds in a way that hampers the potential of respiratory sound analysis in terms of diagnosis of respiratory illness. This paper implements a VI for Heart Sound (HS) cancellation from Lung Sound (LS) records using the Advanced Signal Processing Toolkit of Lab VIEW 8.2. The method uses the multiresolution analysis of the wavelet approximation coefficients of the original signal to detect HS-included segments. Once the HS segments are identified, the method removes them from the wavelet coefficients and estimates the created gaps by using TSA ARMA modeling and prediction. Index Terms-Virtual