Supercapacitors for energy storage at high temperature of Cu-Mn-Zn magnetic oxide thin films synthesized by SILAR method
Supercapacitors with their fast charge/discharge efficiency, good cycling life offer remarkable properties as energy storage devices compared to conventional energy storage systems. Cu-Mn-Zn magnetic oxide thin films of composition Cu0.5Mnx/2Zn0.5Fe2-x/2O4 (0.0<x<1) are sintered after being created using the SILAR process. X-ray diffraction, cation distribution, and infrared spectra were examined as structural characteristics. Dielectric characteristics are researched, including the dielectric loss factorandthe dielectric constant. The thin films are shown to have spinal structures. As Mn content increases, the lattice constant rises as well. because the polarization of space charges is increasing and as a result, the dielectric characteristics are improving.
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D.D. Birajdar. Supercapacitors for energy storage at high temperature of Cu-Mn-Zn magnetic oxide thin films synthesized by SILAR method. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp. 01-06, 2023. https://doi.org/10.55083/irjeas.2023.v11i03001
Currently, wireless networks operate at a maximum of 4G, but an increase to 5G is in the works. Numerous programmes now operate on fourth-generation communication systems. The study of 5G communications is a relatively new field of study. Microstrip antenna study is important because of its potential use in cutting-edge 5G technologies. The high bandwidth provided by the microstrip fractal antenna is essential to satisfying the criteria for 5G. This study puts forward a microstrip patch antenna with a flawed ground structure for use in 5G wireless communication systems. This antenna has a resonance frequency of 5.4GHz. The proposed antenna has a total bandwidth of 0.92 GHz.
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D.D. Birajdar. Design and Performance of Rectangular Microstrip Patch Antenna. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(3), pp. 07-12, 2023. https://doi.org/10.55083/irjeas.2023.v11i03004
Optimized Data Hiding Method based on Meerkat Clan Algorithm for Image Steganography
Navrinder Kaur, Sarabjeet Kaur
To fulfill the security criterion of imperceptibility, the secret info is hidden in the cover image using image steganography. To do this, a hidden data bit swaps out the least important part of the cover image. The replacement process produces variability, which has an effect on the imperceptibility parameter. To address this restriction, this research proposes a unique optimal data concealing approach based on the meerkat clan optimization algorithm. This method seeks the best secret data to conceal in the cover image to be able to improve the imperceptibility parameter. The secret data is also divided into 2:4 ratios. The cover image is then divided into smooth and edge regions. A 2-bit LSB technique is utilized to hide data in the smooth area, whereas data hiding in the edge region is accomplished with a 4-bit LSB approach. The simulation is evaluated using multiple performance measures to compare its performance to existing approaches. The suggested technique outperforms the previous method in terms of imperceptibility.
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Navrinder Kaur, Sarabjeet Kaur. Optimized Data Hiding Method based on Meerkat Clan Algorithm for Image Steganography. International Research Journal of Engineering & Applied Sciences (IRJEAS). 11(1), pp 12-18, 2023. https://doi.org/10.55083/irjeas.2022.v11i01002