Author details
Author's Published Works
Author details
Showing 1-9 of 9 results
- Sort
Filter Results
Show
Sort By
Results
Deploying Multiple EV Fast Charging Stations in IEEE 33-Bus System Using Evolutionary Computation Technique
Swetha G;Jhansi K;Deepa K R;Chandrika A P;Manjunatha B;Nishchitha T S
2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)
Year: 2024 | Conference Paper |
The transportation sector is currently going through a period of upheaval, with low carbon as well as green environment serving as its primary goals. The transportation industry is going electric. There is no denying that the installation of charging stations has been heavily influenced by the promotion of EVs (Electric vehicles). To meet the demand for quick energy replenishment while driving, it...Show More
Multi-Objective Stochastic Optimization Models for Hybrid AC/DC Microgrid Energy Management
B Pravallika;Manjunatha B;Kanchan Yadav;Amit Dutt;Ashish Parmar;Mohammed Ayad Alkhafaji
2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
Year: 2024 | Conference Paper |
This study aims to create advanced stochastic optimization models for the strategic energy management of hybrid AC/DC microgrids. The primary focus is on optimizing energy costs, environmental sustainability, and system reliability, considering the uncertain behaviour of renewable energy sources and load demands. The research focuses on the modelling and analysis of these models using MATLAB. By i...Show More
Cross-Domain Ontology Synthesis for Semantic Web Integration: A Neural Network Approach
L Babitha;Manjunatha B;Q. Mohammad;Navdeep Singh;Anurag Shrivastava;Irfan Khan
2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
Year: 2024 | Conference Paper |
Semantic Web Integration is a significant challenge in the domain of data mining and web technology due to the diverse and dynamic nature of web resources. The objective of this research is to propose a novel approach for Cross-Domain Ontology Synthesis employing neural network models to enhance semantic web integration. This paper introduces a scalable and efficient framework that combines the ro...Show More
Unified Control Algorithm for Multi-Mode Operation of Bidirectional DC/DC Converters in Renewable Energy Systems
B Ramesh;Manjunatha. B;Alok Jain;Irfan Khan;Shilpa Pahwa;Mohammed Ayad Alkhafaji
2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
Year: 2023 | Conference Paper |
In the evolving landscape of renewable energy systems, bidirectional DC/DC converters have emerged as pivotal components, facilitated energy storage integration and ensured optimal power flow between different energy sources and loads. This paper introduces a novel unified control algorithm adept at seamlessly transitioning between multiple operational modes of these converters, thus enhancing the...Show More
Topology Optimization and Unified Control of Dual Active Bridge Converters for Flexible DC Grids with Energy Storage Integration
V Alekhya;Manjunatha. B;Rajeev Sobti;Ashwani Kumar;Shilpi Chauhan;Kadim A. Jabbar
2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
Year: 2023 | Conference Paper |
Dual Active Bridge (DAB) converters have emerged as a pivotal solution for energy conversion and management in flexible DC grids due to their bidirectional power flow capability and wide operating range. This paper delves into the advanced topology optimization techniques tailored for DAB converters in the context of the flexible DC grid systems integrated with energy storage. A paramount focus is...Show More
Design and Implementation of Ideological and Political Pedagogy System Based on Service-Oriented Architecture
Laith Hussein;Faim Multani;S. Gopalakrishnan;S. Muthubalaji;Sheeba G;Manjunatha B
2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
Year: 2023 | Conference Paper |
According to the requirements of intellectualization in the current ideological and political course teaching process, based on the full analysis of the specific needs and objectives of ideological and political mobile teaching, this paper develops an ideological and political pedagogy system based on SOA (Service-Oriented Architecture). Realize the mobile learning of ideological and political cou...Show More
Development and Application of Mechanical Design Engineering Database Based on Simulated Annealing Algorithm
Aezeden Mohamed;Dadamukhamedov Alimjon;A. Choriev;T Saravanan;Laith Jasim;Manjunatha B
2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
Year: 2023 | Conference Paper |
In the process of mechanical engineering design, it is necessary to involve multiple links such as design, analysis, simulation, experiment, etc. There will be a large amount of data and information exchange between each link. The use of database technology can effectively improve the quality of data management, reduce data redundancy, and improve data sharing. Mechanical design engineering data i...Show More
Prediction of Surface Roughness of a Nimonic C-238 by Using the ANN Technique
2023 4th International Conference on Smart Electronics and Communication (ICOSEC)
Year: 2023 | Conference Paper |
Artificial Neural Network (ANN) approach is employed to forecast surface roughness (Ra)in the turning of Nimonic C238 using cutting parameters such as Feed, Speed, and Depth of cut. Experiments using carbide inserts were carried out, and the outcomes of these experiments were measured. The measured responses were fed into an ANN, which was then trained to predict the surface roughness. It has been...Show More
Prediction of Flank Wear of Inconel by using the Levenberg-Marquardt ANN Model
2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
Year: 2023 | Conference Paper |
In metal turning processes, precise prediction of flank wear is critical for improving machining process efficiency and tool life. This research study describes a novel approach for estimating flank wear during Inconel turning that employs an Artificial Neural Network (ANN) technique. The proposed ANN model is trained using a large dataset that includes multiple cutting settings and tool wear meas...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.