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1,081 results on '"Ramkumar, K."'

1. Reaction of deuteron with a heavy nucleus at low energies

Author

Jain, Pankaj, Kumar, Harishyam, and Ramkumar, K.

Subjects
Nuclear Theory
Abstract

We extend the recently proposed mechanism for inducing low energy nuclear reactions (LENR) to compute the reaction rate of deuteron with a heavy nucleus. The process gets dominant contribution at second order in the time dependent perturbation theory and is assisted by a resonance. The reaction proceeds by breakdown of deuteron into a proton and a neutron due to the action of the first perturbation. In the second, nuclear perturbation, the neutron gets captured by the heavy nucleus. Both perturbations are assumed to be electromagnetic and lead to the emission of two photons, one at each vertex. The heavy nucleus is taken to be ${}^{58}$Ni although many other may be considered.The reaction rate is found to be very small unless assisted by some special conditions. In the present case we assume the presence of a nuclear resonant state. In the presence of such a state we find that the reaction rate is sufficiently large to be observable in laboratory even at low energies.

Published
2024

2. Low Energy Nuclear Reactions Through Weak Interactions

Author

Ramkumar, K., Kumar, Harishyam, and Jain, Pankaj

Subjects
Nuclear Theory
Abstract

We consider the possibility that low-energy nuclear reactions (LENR) arise due to the conversion of proton to neutron through weak interactions. The resulting neutron forms a short-lived virtual state, which then gets captured by another nucleus through photon emission. This whole process happens under the framework of second-order perturbation theory. We find that the rate of this process is negligibly small in most cases. However, in the presence of a resonance, the rate can be substantial and observable.

Published
2024

6. Exponential Stability of Higher-Order Fractional Neutral Stochastic Differential Equation via Integral Contractors

Author

Chalishajar, Dimplekumar, Dhanalakshmi, K., Ramkumar, K., and Ravikumar, K.

Subjects
Mathematics - Dynamical Systems, Mathematics - Probability, 26A33, 34A08, 35H15, 34K50, 47H10, 60H10
Abstract

The existence, uniqueness, and exponential stability results for mild solutions to the fractional neutral stochastic differential system are presented in this article. To demonstrate the results, the concept of bounded integral contractors is combined with the stochastic result and sequencing technique. In contrast to previous publications, we do not need to specify the induced inverse of the controllability operator to prove the stability results, and the relevant nonlinear function does not have to meet the Lipschitz condition. Furthermore, exponential stability results for neutral stochastic differential systems with Poisson jump have been established. Finally, an application to demonstrate the acquired results is discussed. This paper extends the work of Chalishajar et al. \cite{r4} and Renu Chaudhary et al. \cite{r3}., Comment: no comment

Published
2024

8. Low energy nuclear reactions in a crystal lattice

Author

Kumar, Harishyam, Jain, Pankaj, and Ramkumar, K.

Subjects
Nuclear Theory
Abstract

We extend the recently proposed mechanism for inducing low energy nuclear reactions (LENRs) to a crystal lattice. The process gets a dominant contribution at second order in quantum perturbation theory. The tunnelling barrier is evaded due to the presence of high energy intermediate states. However, the process is found to have a negligible rate in free space due to a delicate cancellation between amplitudes corresponding to different states. The delicate cancellation can be evaded in medium in special circumstances leading to an observable rate. Here we consider this process in a one dimensional crystal lattice and find that the rate depends strongly on the form of interaction. We find that for some allowed choices of interactions, the rate is substantial, while other interactions produce a very small rate.

Published
2023

15. On solvability and optimal controls for impulsive stochastic integrodifferential varying-coefficient model

Author

Dimplekumar Chalishajar, Ravikumar K., Ramkumar K., and S. Varshini

Subjects
Optimal control, impulsive stochastic system, time varying-coefficient model, the Leray Schauder alternative, 35R10, 60G22, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5
Abstract

This article concentrates in analyzing optimal controls for stochastic integrodifferential equation (SIDE) in Hilbert space. Necessary parameters are imposed to demonstrate the system that follows a unique variation of parameter formula using Leray Schauder Alternative. Subsequently, the existence of optimal control is investigated for the considered Lagrange control problem. The theoretical example with the mechanical example of ethanol fuelled engine are discussed to validate the results obtained.

Published
2024
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17. TCAD‐enabled machine learning framework for DC and RF performance evaluation of InGaAs sub‐channel DG‐HEMTs

Author

Leeban Moses M, Saravana Kumar R, Muhammad Faheem, Ramkumar K, Shoukath Ali K, and Arfat Ahmad Khan

Subjects
artificial intelligence, computer‐aided design, deep neural network, dragonfly optimizer, machine learning, particle swarm whale optimizer, Engineering (General). Civil engineering (General), TA1-2040
Abstract

Abstract This research presents a machine learning (ML)‐based model that determines the DC and RF characteristics of InGaAs sub‐channel double gate high electron mobility transistors (DG‐HEMTs) to optimize the device structure. We employ technology computer‐aided design (TCAD) simulations to analyze the DC and RF performance of InGaAs sub‐channel DG‐HEMTs, generating a range of datasets by varying the material composition, layer width, and thickness of different layers in the device structure. We then train and optimize support vector regression (SVR) models using 5‐fold cross‐validation, varying the kernel function and degree parameters, and achieve better performance with the radial basis function (RBF) kernel. The simulated results indicate that the ML model predicts physical parameters more effectively than experimental analysis, offering a compact modeling solution that requires fewer computing resources than traditional methods.

Published
2024
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18. Early Diagnosis of Parkinson’s Disease Based on Spiral and Wave Drawings Using Convolutional Neural Networks and Machine Learning Classifier

Author

Saravanan, S., Ramkumar, K., Venkatesh, S., Narasimhan, K., Adalarasu, K., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Bikesh Kumar, editor, Sinha, G.R., editor, and Pandey, Rishikesh, editor

Published
2024
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27. Analysis and Implementation of Microsoft Azure Machine Learning Studio Services with Respect to Machine Learning Algorithms

Author

Singh, Soni, Ramkumar, K. R., Kukkar, Ashima, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Agrawal, Rajeev, editor, Kishore Singh, Chandramani, editor, Goyal, Ayush, editor, and Singh, Dinesh Kumar, editor

Published
2023
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28. A Survey on Performance Analysis of Different Architectures of AES Algorithm on FPGA

Author

Hasija, Taniya, Kaur, Amanpreet, Ramkumar, K. R., Sharma, Shagun, Mittal, Sudesh, Singh, Bhupendra, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Agrawal, Rajeev, editor, Kishore Singh, Chandramani, editor, Goyal, Ayush, editor, and Singh, Dinesh Kumar, editor

Published
2023
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29. Post-quantum Cryptography: A Solution to the Challenges of Classical Encryption Algorithms

Author

Sharma, Shagun, Ramkumar, K. R., Kaur, Amanpreet, Hasija, Taniya, Mittal, Sudesh, Singh, Bhupendra, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Agrawal, Rajeev, editor, Kishore Singh, Chandramani, editor, Goyal, Ayush, editor, and Singh, Dinesh Kumar, editor

Published
2023
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30. A Research Perspective of VANET Applications: A Review

Author

Kaushal, Payal, Khurana, Meenu, Ramkumar, K. R., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Dutta, Paramartha, editor, Chakrabarti, Satyajit, editor, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, and Piuri, Vincenzo, editor

Published
2023
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31. Production of Tobacco (Nicotiana tabacum L.) Seed Oil Methyl Esters Using Tungstophosphoric Acid as Catalyst

Author

Arivarasu, Anitha, Jini, D., Vijay Samuel, G., Meghna, Karnan, Ramkumar, K., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Siddiqui, N. A., editor, Baxtiyarovich, Akmalov Shamshodbek, editor, Nandan, Abhishek, editor, and Mondal, Prasenjit, editor

Published
2023
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39. Existence and Stability Results of Stochastic Differential Equations with Non-instantaneous Impulse and Poisson jumps

Author

Varshini S., Banupriya K., Ramkumar K., and Ravikumar K.

Subjects
stability, stochastic differential system, fractional brownian motion, non-instantaneous impulse, 37h30, 37h10, 60g22, Mathematics, QA1-939
Abstract

This paper focuses on a new class of non-instantaneous impulsive stochastic differential equations generated by mixed fractional Brownian motion with poisson jump in real separable Hilbert space. A set of sufficient conditions are generated based on the stochastic analysis technique, analytic semigroup theory of linear operators, fractional power of operators, and fixed point theory to obtain existence and uniqueness results of mild solutions for the considered system. Furthermore, the asymptotic behaviour of the system is investigated. Finally, an example is proposed to validate the obtained results.

Published
2022
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46. Teaching Industrial Internet-of-Things-Based Model-Predictive Controller

Author

Muthukumar, N., Srinivasan, Seshadhri, Subathra, B., and Ramkumar, K.

Abstract

Contribution: This article explores how the Industrial Internet of Things (IIoT) could be leveraged to enhance the teaching/learning experience of advanced control techniques [e.g., model-predictive control (MPC)] for complex systems (nonlinear and multivariable) for undergraduate students. Background: The IIoTs' features, such as ubiquitous sensing, open connectivity, and distributed control, are expected to transform the way control is implemented in the industries. The students need to be prepared for this development. Courses on advanced control techniques should be revamped considering this change. In particular, deploying advanced controllers in IIoT scenarios could make the students ready for Industrie 4.0 and enhance the teaching-learning experience. Intended Outcomes: To reduce the cost for setting up laboratories; to make students appreciate IIoT benefits in industries and study the enhancements in teaching/learning advanced control techniques, such as MPC. The focus is on implementing MPC for a complex process, i.e., nonlinear, multivariable, and having interactions and their deployment on IIoT hardware. Method: A ten-day course on IIoTs' benefits and implementing advanced control techniques for a complex process with lecturing and hands-on sessions for undergraduate students is used. The course focuses on understanding basic concepts to deploy advanced control techniques on IIoT hardware in industries. Findings: The learning experience is enthralling, and the students are appreciative of the IIoT benefits to the industries and in their learning experience, which is demonstrated by their in-depth understanding of concepts on system complexity and implementing MPC.

Published
2021
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