Jegadish Kumar

Anna University, Ece, Faculty Member

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Address: Chennai, Tamil Nadu, India

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Andrej Dujella

University of Zagreb

Maurizio Forte

Duke University

Paul Tobin

Dublin Institute of Technology

Fabio Cuzzolin

Oxford Brookes University

Roshan Chitrakar

Nepal College of Information Technology

Lev Manovich

Graduate Center of the City University of New York

Monish Chatterjee

University of Dayton

Ferhat Bozkurt

Ataturk University

Kasun Jinasena

University of Sri Jayewardenepura

Mehmet Hilal Özcanhan

Dokuz Eylül University

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Papers by Jegadish Kumar

Efficiency enchancement of Class-E power amplifier in VHF radio frequency spectrum for land mobile radio system

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)

Land Mobile Radios (LMR) are used by various emergency organizations such as military, fire and a... more Land Mobile Radios (LMR) are used by various emergency organizations such as military, fire and ambulance services. The main function of LMR is to transmit voice over a selective range of radio frequency and they are mostly battery operated. Power amplifier (PA) circuit of LMR has drawn a major concern from engineers because they consume enormous power from battery. More research is conducted on PA to find solutions for improving Power Added Efficiency (PAE). PAE represents a figure of merit that economically shows how efficiently the PA converts RF power to DC power. With PAE parameter increased the device can be able to produce output the same amount of power with less DC power consumed. Class-E power amplifier desires the most attention among different classes of PA from engineers because of their ability of providing high PAE and more harmonic suppression. In this paper, Advance Design System (ADS) software is used for designing and simulation. Class-E PA is designed, harmonics are suppressed at the output. The final design operates at the frequency range of 136-174MHz with PAE of 92.39% by delivering 28.75dBm output power and the effectiveness of Class-E PA is boosted to suppress second order harmonics by 91.675dBc.

Design of Twin-slot Radiator Beam-Forming Antenna Using Metasurface

2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)

GANash -- A GAN approach to steganography

Cornell University - arXiv, Oct 25, 2021

Data security is of the utmost concern of a communication system. Since the early days, many deve... more Data security is of the utmost concern of a communication system. Since the early days, many developments have been made to improve the performance of the system. PSNR of the received signal, secure transmission channel, quality of encoding used, etc. are some of the key attributes of a good system. To ensure security, the most commonly used technique is cryptography in which the message is altered with respect to a key and using the same, the encoded message is decoded at the receiver side. A complementary technique that is popularly used to insure security is steganography. The advancements in Artificial Intelligence(AI) have paved way for performing steganography in an intelligent, tamper-proof manner. The recent discovery by researchers in the field of Deep Learning(DL), an unsupervised learning network known as the Generative Adversarial Networks(GAN) has improved the performance of this technique exponentially. It has been demonstrated that deep neural networks are highly sensitive to tiny perturbations of input data, giving rise to adversarial examples. Though this property is usually considered a weakness of learned models, it could be beneficial if used appropriately. The work that has been accomplished by MIT for this purpose, a deep-neural model by the name of SteganoGAN, has shown obligation for using this technique for steganography. In this work, we have proposed a novel approach to improve the performance of the existing system using latent space compression on the encoded data. This theoretically would improve the performance exponentially. Thus, the algorithms used to improve the system's performance and the results obtained have been enunciated in this work. The results indicate the level of dominance this system could achieve to be able to diminish the difficulties in solving real-time problems in terms of security, deployment and database management. Index Terms-Steganography, Generative Adversarial Network(GAN), Nash-equilibrium.

Jegadish Kumar

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