Praveen Jugge

Scopus Publications

A Physics-Informed Conditional GAN Framework with Multi-Objective Optimization for Automated Design of Acoustic Metamaterials
Praveen Jugge, Jaya Prakash Reddy Peram, G. Ramesh, Jhade Srinivas
Journal of Physics Conference Series, 2026
Owing to their extraordinary ability to manipulate acoustic and electromagnetic waves, the field of metamaterials attracts considerable attention in terms of their potential applications for cloaking devices, sound isolation, photonic crystals, and more. Nonetheless, designing optimum metamaterial unit cell structures is still a non-trivial process that typically requires time-intensive simulations, manual adjustments and knowledge in the domain. A new framework that combines Generative Adversarial Networks (GANs) with Physics-Informed Neural Networks (PINNs) and multi-objective optimization capabilities to enable the automated design of acoustic metamaterial unit cells is presented. In particular, developing a Conditional GAN (cGAN) architecture in which the generator is conditioned on target acoustic properties (e.g., bandgap frequency and width) and learns to generate corresponding 2D unit cell geometries. To ensure the physical feasibility of generated designs, a physics-informed loss is included based on governing wave equations. In addition, a multi-objective loss function is used to trade-off between different design objectives, i.e., balance between property accuracy, material usage, and manufacturability constraints. It is trained on the publicly available 2D Elastodynamic Metamaterials Dataset of more than 20,000 labelled unit cell designs. The quantitative simulation results show that the proposed model generates diverse, physically valid, and optimized unit cells from a diverse unit cell designs across different property conditions, providing a scalable and effective design approach for metamaterials. This proposed framework demonstrates novelty by combining cGAN, PINN and multi-objective optimization specifically for acoustic metamaterial unit cell design. Lastly, there are other possible paths in the work such as extending the framework to 3D designs, or embedding fabrication constraints into the framework.
Smart wireless BMS for electric vehicles: role of advanced battery materials and energy-efficient communication technologies
Vinay Kumar Awaar, J. Praveen, Akkugari Ruchika, Karra Navya, K Jamal, Mandula Venkaiah
Journal of Physics Conference Series, 2026
In This paper presents a Smart Wireless Battery Management System (WBMS) designed for electric vehicles, integrating dual microcontrollers—the C2000 LAUNCHXL-F28027 for precise data acquisition and the ESP32 for robust wireless communication. The system facilitates real-time monitoring by transmitting critical battery parameters, including voltage, current, temperature, state of charge (SoC), and state of health (SoH), to a cloud platform via MQTT and HTTP(S) protocols using Adafruit IO. This architecture enables accurate SoC and SoH estimation, early fault detection, and efficient power management. A comparative analysis of Lithium-Ion, Nickel-Cadmium, and Lithium Iron Phosphate batteries highlights the system’s adaptability across different chemistries, focusing on efficiency and thermal performance. Experimental validation confirms low-latency, energy-efficient, and fault-tolerant wireless connectivity, demonstrating the system’s scalability and efficacy for advanced battery management applications.
AI-Powered Advertisement Design: A PIL-Based Approach for Quality and Performance Analysis
Harshitha Chilupuri, G. Ramesh, J. Praveen, Venkataramaiah Gude
Proceedings of the 3rd International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iitcee 2025, 2025
The paper presents the development of a Data Science solution that applies generative AI models in order to create high-quality images to be used in visual marketing and advertising. Using the Python library PIL (Pillow) along with machine learning frameworks, the solution combines predefined product images with the selected backgrounds, enhancing image synthesis techniques for more appealing and contextually relevant visuals. This leads to improved efficiency and effectiveness in the creation of content by automatically placing product images onto the background images used in marketing campaigns. The approach demonstrated a 98.06% SSIM (Structural similarity Index) score, indicating significant visual quality improvement. Initial results suggest a 15% enhancement in visual appeal compared to traditional image creation methods.
Development of Intelligent Battery Management System for Efficient and Reliable Operation of Li- Batteries in Electric Vehicles
Vinay Kumar Awaar, Praveen Jugge, M N Sandhya Rani, Manimelu Madhurima, Sahera Begum, Hari Prasad Bhupathi
2025 IEEE International Transportation Electrification Conference Itec India 2025, 2025
This study presents the design and simulation of an efficient and reliable Battery Management System (BMS) for Lithium-ion batteries in Electric Vehicles (EVs). The proposed system actively monitors critical battery parameters such as temperature, voltage, current, and State of Charge (SoC) to ensure optimal performance and safety. Particular emphasis is placed on improving SoC estimation accuracy, optimizing charge/discharge cycles, and implementing advanced thermal management strategies to mitigate overheating risks. MATLAB/Simulink is used to model and simulate battery behavior under varying operating conditions, enabling precise analysis and system optimization. The BMS integrates both passive and active cell balancing techniques to maintain cell uniformity and includes protective mechanisms to prevent overcharging, deep discharging, and thermal runaway. By facilitating real-time monitoring and intelligent control, the system enhances energy efficiency, extends battery life, and improves overall safety and reliability-contributing to the advancement of sustainable electric transportation.
IoT-Enabled Smart Robot for Efficient Banana Harvesting and Quality Assessment
J. Rajeswari, J. Mothiga Shivani, M. Chandru, B. Dhivya Dharshini, K. Adhish, J. Praveen
Proceedings 2025 5th International Conference on Expert Clouds and Applications Icoeca 2025, 2025
Bananas, the world’s most traded fruit, rank as the fourth most essential food crop after rice, wheat, and corn. Despite their economic significance, banana harvesting remains labor-intensive. To address this challenge, a remote-controlled robotic system has been developed to enhance efficiency. To improve efficiency, a new remote-controlled robot has been developed to detect the foul smell and cutting the banana stalk with the sharp blades, equipped with an Uno microcontroller, Wi-Fi camera, and five motors. It autonomously navigates plantations to identify and harvest ripe. It is a Bluetooth enabled device which is totally based on internet of things (IoT) and With gear motors, the cutting blades are adjustable to the height of the banana stalk, enabling precise cuts for plants of varying heights. The model surpasses existing limitations by integrating full IoT-enabled real-time monitoring, image-based and gas sensor ripeness detection, cost-effective optimized hardware, adaptability to real plantations, and a remote-controlled mechanism with adjustable cutting height, making banana harvesting more efficient, accurate, and scalable. This innovation aims to reduce labor costs and enhance the efficiency of banana collection.
Ensemble Deep Learning Framework for Robust Arrhythmia Detection
Balina Sri Vaishnavi, Padmalaya Nayak, Ravichander Janapati, Veena Trivedi, J. Siva Naga Jyothi, Praveen Jugge
2025 3rd International Conference on Industry 4 0 Technology I4tech 2025, 2025
Cardiac arrhythmias are irregularities in the heart’s rhythm that can lead to serious conditions such as stroke, heart failure, or sudden cardiac arrest. Accurate and early detection is crucial for timely diagnosis and continuous cardiac monitoring. This study presents a comparative deep learning framework for classifying electrocardiogram (ECG) signals using three architectures: Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and a hybrid CNN-Bidirectional LSTM (CNN-BiLSTM). These models are trained and experimented on the MIT-BIH Arrhythmia Dataset, which includes five heartbeat classes defined by the Association for the Advancement of Medical Instrumentation (AAMI) standard. First, the data is pre-processed by normalizing and reshaping the heartbeat segments, followed by stratified splitting for training and testing. To enhance model generalization, training was optimized using techniques such as learning rate scheduling, dropout, and gradient clipping. After conducting the experiments, it is concluded that the CNN-BiLSTM architecture achieves the best performance, with a test accuracy of 98.71% and a macro F1-score of 92.72%. Per-class analysis confirmed significantly better recognition of minority classes, such as supraventricular and fusion beats. Our experimental results demonstrate the effectiveness of hybrid deep learning architectures for classifying vital and clinically relevant arrhythmias.
Smart Wireless Battery Management System for Real-Time Data Transmission in EVs
Vinay Kumar Awaar, Praveen Jugge, Akkugari Ruchika, Karra Navya, Shashidhar Kasthala, Sukriti Tiwari
5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025
This work, "Smart Wireless Battery Management System (BMS) for Real-Time Data Transmission," aims to design a trustworthy system for lithium-ion battery management in electric vehicles (EVs). The BMS tracks essential parameters such as temperature, voltage, current, and State of Charge (SoC) for efficient battery performance. It enhances SoC estimation and optimizes charging cycles while incorporating thermal management to prevent overheating. MATLAB Simulink simulations validate battery performance, enabling better optimization. The project also develops a wireless monitoring system using an ESP32 microcontroller. It transmits and receives data from a battery pack with a BMS and voltage, current, and temperature sensors. These sensors collect essential information such as voltage, current, temperature, SoC, and State of Health (SoH), which are processed by the ESP32 and transmitted wirelessly to a cloud server for real-time monitoring. This solution enhances safety, efficiency, and longevity by remote monitoring of battery parameters. The BMS integrates safety features to avoid over-charging, over-discharging, and thermal runaway. With real-time control and monitoring, this system improves energy efficiency, prolongs battery life, and enhances the safety and reliability of electric vehicles, contributing to sustainable transportation.
Development of Characterization Circuit for Power Semiconductor Devices
Gyanendra Vaishya, Dheeraj Saini, Yugal Patidar, Dogga Raveendhra, BL Narasimha Raju, Praveen J
2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation Sefet 2024, 2024
Researchers have come to rely heavily on I-V Characterization as a means of evaluating power semiconductor devices' ON - state performance and performing real - time condition monitoring. However, because of their high cost, intricate operation, and possibility for errors at various setup phases, the current SIVC systems can be difficult to deploy in laboratory settings. Even though certain commercial items function exceptionally well, their high cost can often make them difficult to get. In this manuscript, a simple, precise, and economical characterization configuration is presented to deal with these problems. Conventional standards for testing discrete power device parameters may not adequately address the demands of high-power applications. In-circuit or in-situ testing methods are proposed as more suitable, allowing devices to be tested at full power and stress, mimicking real-world operation. Introducing a class of switch-mode power electronics circuit topology called Energy Recirculating and Storage Circuits, this approach enables high-power device testing with a low-power source, eliminating the need for a load. The ERSCs, derived from two-port power converters, demonstrate the ability to recirculate and store energy, simulating a higher power source. The thesis establishes ERSCs as a new switch-mode power electronic circuit classification, providing a method for their construction and synthesizing a family of ERSCs from buck and boost-derived converters. Simulations validate the proof of concept and circuit operation.
Multi-Transmitter Based Wireless Power Transmission for Electrical Vehicles
Vinay Kumar Awaar, Mulagapati Naga Sandhya Rani, Praveen Jugge, Sai Vignesh Bellal, B L Narasimha Rao, Hassan M. Al-Jawahry
2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation Sefet 2024, 2024
Wireless power transmission (WPT) is an innovative technology that enables the transmission of electrical energy from a source to a load without physical connections such as wires or cables. This technology relies on electromagnetic fields and resonance principles, allowing for efficient energy transfer over short to medium distances. Different topologies, which include Series Series (SS), Series Parallel (SP), Parallel Series (PS), and Parallel Parallel (PP), can be used to build WPT models. The applications of WPT are vast and impactful, especially for consumer electronics such as smartphones, laptops, EVs, and wearables, where the need for charging cables can be eliminated. This paper discusses simulation models of WPT using MATLAB/Simulink software, aiming to identify the most efficient and reliable approach for wireless power transmission.
Development of a DSP Controlled Pulse Charger for Electric Vehicle Batteries
Vinay Kumar Awaar, Praveen Jugge, Vyshnavi Ramineni, Saniya Mahawin, Haider Alabdeli, Shyam Yadasu, Maithili K
2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation Sefet 2024, 2024
The research involves a comprehensive analysis of pulse charging methodologies, their impact on battery performance tailored for Electric Vehicles. The research mainly focuses on the currently emerging batteries being charged using a pulse technique from the photovoltaic source. The pulse charge circuit is analyzed, simulated, designed and tested with a rechargeable electrochemical cell as a load. The simulations are performed using ANSYS or MATLAB/Simulink software. The charger circuit is built by installing the photovoltaic panel as power source, transformer, a Capacitor, voltage regulator and bridge rectifier. The control circuit comprises an optocoupler (EL817), isolation circuit and DSP controller. The charger circuit receives power from solar panels. The DSP controller platform is used to implement the proposed charging algorithm and controls the output voltage. The project Combines theoretical analysis, computer simulations and practical experimentation to achieve its objectives.
A Real-time Automated System for Object Detection and Facial Recognition
K. Shyam Sunder Reddy, G. Ramesh, J. Praveen, P. Surekha, Ayushi Sharma
E3s Web of Conferences, 2023
Application of Dynamic Voltage Restorer through HHO Algorithm for Safe and Sustainable Operation of Electrical Distribution System
Vinay Kumar Awaar, Praveen Jugge, Pujitha Dupati, G. Ramesh, Ramnarayan
E3s Web of Conferences, 2023
Integrated Solar Roofing
T.V.V. Pavan Kumar, M. Harivardhan, V. Santhosh, G. Vamshi, Praveen Jugge, Awadhesh Chandramauli
E3s Web of Conferences, 2023
Development of Pulse Charger for Electric Vehicle Batteries
Praveen Jugge, Vinay Kumar Awaar, Vyshnavi Ramineni, Saniya Mahawin, Minakshi Memoria, D. Srinivas
E3s Web of Conferences, 2023
Autonomous Driving: Enhancing Mileage, Road Safety with AI
Ramesh Gajula, G.H.S. Sathwik Rudraraju, Pavan Teja Suppala, K.N.D.V. Surya Raghav, Babita Rani Randwal, J. Praveen
E3s Web of Conferences, 2023
Sustainability in electric vehicles: a bibliometric analysis of life cycle assessment
Vinay Kumar, Yogita Sharma, Priyanka Chadha, Saurav Dixit, Praveen Jugge, Phaneendra Babu Bobba
E3s Web of Conferences, 2023
Comparison Analysis of Semiconductor Characterisation topologies using Energy Recirculation Concept
Bobba Phaneedra Babu, Allem Rama Krishna Reddy, Gujjula Pratap, Murra Harshavardhana Reddy, A. Hussien Abbas, Raj Kumar, J. Praveen
E3s Web of Conferences, 2023
THE IMPACT OF THE INTERNET OF THINGS ON MEASUREMENT, MONITORING OF POWER SYSTEM PARAMETERS IN AN LFC-DR MODEL
P. Srividya Devi, Praveen Jugge
Blockchain Technology for Iot and Wireless Communications, 2023
IOT-BASED ROBOTIC ARM
Vinay Kumar Awaar, Praveen Jugge
Blockchain Technology for Iot and Wireless Communications, 2023
IOT-BASED CONCENTRATED PHOTOVOLTAIC SOLAR SYSTEM
V. Vijaya Rama Raju, Praveen Jugge
Blockchain Technology for Iot and Wireless Communications, 2023
DESIGN AND IMPLEMENTATION OF AN IOT-INTEGRATED SMART HOME SYSTEM WITH END-TO-END SECURITY USING BLOCKCHAIN TECHNOLOGY
G. Ramesh, B. Anil Kumar, J. Praveen
Blockchain Technology for Iot and Wireless Communications, 2023
Blockchain Technology for IoT and Wireless Communications
Gajula Ramesh, Budati Anil Kumar, Praveen Jugge, Kolalapudi Lakshmi Prasad, Mohammad Kamrul Hasan
Blockchain Technology for Iot and Wireless Communications, 2023
Beneficial Image Preprocessing by Contrast Enhancement Technique for SEM Images
Indian Journal of Engineering and Materials Sciences, 2022
Analysis of COVID-19 Data Through Machine Learning Techniques
Nayak Padmalaya, Trivedi Veena, Jugge Praveen
Lecture Notes in Networks and Systems, 2022
Comparative Study And Experimentation of Speed Control Methods of BLDC Motor using DRV8312
Vinay Kumar Awaar, Rajshri Simhadri, Praveen Jugge
2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2022, 2022
New Topologies of 9 Level CHMLI Based on DVR Using FLC for Compensate the Harmonics
N. Eashwaramma, J. Praveen, M. VijayaKumar
Smart Innovation Systems and Technologies, 2022
Performance of Dual Differential Parallel Buck Grid Connected inverter for Solar Power Conversion
T Amulya, Dogga Raveendhra, J Praveen, Bl Narasimha Raju
2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2022, 2022
A LabVIEW based Variable Frequency Drive for Voltage Source Inverter Fed Induction Motor
Vinay Kumar Awaar, Pujitha Dupati, S Tara Kalyani, Praveen Jugge
2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2022, 2022
SPV Power Conversion using Bidirectional H6 Inverter with reduced Common Mode Voltages
T Amulya, Dogga Raveendhra, J Praveen, Bl Narasimha Raju
2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2022, 2022
Intensifying The Performance of Dynamic Voltage Restorer Using Optimized PI Controller Based Harris Hawks Optimization (HHO) Algorithm
Vinay Kumar Awaar, Venkatesh Chityala, Praveen Jugge, S Tara Kalyani
2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation Sefet 2022, 2022
A High-Gain Multiphase Interleaved Differential Capacitor Clamped Boost Converter
Dogga Raveendhra, Poojitha Rajana, Kalamchety Srinivasa Ravi Kumar, Praveen Jugge, Ramesh Devarapalli, Eugen Rusu, Hady H. Fayek
Electronics Switzerland, 2022
Artificial Intelligence (AI) Framework for Multi-Modal Learning and Decision Making towards Autonomous and Electric Vehicles
G. Ramesh, J. Praveen
E3s Web of Conferences, 2021
Speed control of robust position sensor less PMBLDC motor by Fuzzy controller
Shravani Sattu, Vinay Kumar Awaar, Praveen Jugge
E3s Web of Conferences, 2021
Power quality enhancement using Artificial Neural Network (ANN) based Dynamic Voltage Restorer (DVR)
Chaitanya Kasala, Vinay Kumar Awaar, Praveen Jugge
E3s Web of Conferences, 2021
DSP Based Testing Platform for Characterization of BLDC Motor Performance Using TMS320F28069
Vinay Kumar Awaar, Rajshri Simhadri, Venkatesh Chityala, Praveen Jugge
E3s Web of Conferences, 2021
Grid-Connected Rectifier Based Dynamic Voltage Restorer To Improve Power Quality By Compensating Voltage Sag And Swell
Someshwara Thota, Vinay Kumar Awaar, Praveen Jugge, S Tara Kalyani
E3s Web of Conferences, 2021
Validation of SRFPI Control Methodology for Voltage Sag Compensation with a Dynamic Voltage Restorer to improve Power Quality
Vinay Kumar Awaar, Praveen Jugge, S Tara Kalyani, Someshwara Thota
2021 International Conference on Sustainable Energy and Future Electric Transportation Sefet 2021, 2021
Design of Cuk and Single-Ended Primary Inductor Converter (SEPIC) for PV Systems Integration to AC Grid
Suman Tenali, A.A Ansari, J. Praveen
Proceedings of the 5th International Conference on Electronics Communication and Aerospace Technology Iceca 2021, 2021
Capacitor Clamped Boost Inverter for Fuel Cell-based Distributed Generation system with Battery Back Up
Dogga Raveendhra, Praveen J, Poojitha Rajana
2021 4th International Conference on Electrical Computer and Communication Technologies Icecct 2021, 2021
Mitigation of Electrical Inertia of PE Converters in Solar Powered HESS system for Remote Area Power System Applications using Synergetic Controller
Dogga Raveendhra, J Praveen, Poojitha Rajana
2021 4th International Conference on Electrical Computer and Communication Technologies Icecct 2021, 2021
Adoption of Multilevel Inverter based Dynamic Voltage Restorer for Power Quality Improvement with Adjustable DC-Link
Kummari Geethika, Vinay Kumar Awaar, Praveen Jugge
E3s Web of Conferences, 2020
DSP based Voltage Source Inverter for an application of Induction Motor control
Venu Gopal Mangali, Shravan Kumar P, Vinay Kumar Awaar, Praveen Jugge
E3s Web of Conferences, 2020
Development of multilevel cascaded h-bridge inverter based dynamic voltage restorer (DVR)
Bondili Saibindu Bai*, , Vinay Kumar Awaar, Dr. Praveen Jugge, , and
International Journal of Innovative Technology and Exploring Engineering, 2019
Implementation of single phase srf based dynamic voltage restorer in distribution system for power quality improvement
Laasya Reddy Yalaka*, , Vinay Kumar AWAAR, Dr. Praveen JUGGE, , and
International Journal of Innovative Technology and Exploring Engineering, 2019
Validation of Control Platform Using TMS320F28027F for Dynamic Voltage Restorer to Improve Power Quality
Vinay Kumar Awaar, Praveen Jugge, S. Tara Kalyani
Journal of Control Automation and Electrical Systems, 2019
Implementation of DSP based voltage source inverter (VSI) by using sinusoidal pulse width modulation technique
BaiReddy Ekanath Reddy, , J Praveen, Vinay Kumar A, , and
International Journal of Recent Technology and Engineering, 2019
Renewable power interface based rural telecom
W. Margaret Amutha, H. Caleb Andrew, A. Debie Shajie, J. Praveen Immanuel Paulraj
International Journal of Power Electronics and Drive Systems, 2019
A new 15-level inverter configuration with fault tolerant capability for PV applications
K. Roopa, Praveen Jugge, S. Tara Kalyani
IEEE International Conference on Power Control Signals and Instrumentation Engineering Icpcsi 2017, 2018
Analysis of MOOPF and SOOPF with and without IPFC using PSO
J. Praveen, B R Narendra, Kondaboina Saiteja, N. Venu Babu
2017 International Conference on Energy Communication Data Analytics and Soft Computing Icecds 2017, 2018
Probabilistic power flow using point estimate methods in mesh and radial power networks
Anusha Alluri, Dola Gobinda Padhan, Praveen Jugge
2018 Ieema Engineer Infinite Conference Etechnxt 2018, 2018
Development of Processes and Characterization of Ferro Magnetic Materials for Manufacture of Transformer Core and Motors for Higher Efficiency
V. Vijaya Rama Raju, J. Praveen
Materials Today Proceedings, 2018
Mitigation of voltage sag and power quality improvement with an optimum designed dynamic voltage restorer
Vinay Kumar Awaar, Praveen Jugge, Tara Kalyani S
IEEE International Conference on Power Electronics Drives and Energy Systems Pedes 2016, 2017
Materials for Optimizing Efficiencies of Solar Photovoltaic Panels
J Praveen, V VijayaRamaraju
Materials Today Proceedings, 2017
Optimal design and testing of a Dynamic Voltage Restorer for Voltage sag compensation and to improve Power Quality
Vinay Kumar Awaar, Praveen Jugge, Tara Kalyani S
IECON Proceedings Industrial Electronics Conference, 2016
Multi objective optimization for optimal power flow with IPFC using PSO
J. Praveen, B. Srinivasa Rao
2016 3rd International Conference on Electrical Energy Systems Icees 2016, 2016
Field test of cost effective Voltage Source Inverter for driving an Induction Motor
Vinay Kumar Awaar, Praveen Jugge, Tara Kalyani S
12th IEEE International Conference Electronics Energy Environment Communication Computer Control E3 C3 Indicon 2015, 2016
PQ improvement by moderation of multi-level inverter controlling techniques and intensifying the performance of DVR
Vinay Kumar Awaar, Praveen Jugge, Tarakalyani S
Advances in Electrical and Electronic Engineering, 2015
Hybrid GA-PSO trained functional link artificial neural network based channel equalizer
Ayush Utkarsh, Aditya Sarjak Kantha, J. Praveen, J. Ravi Kumar
2nd International Conference on Signal Processing and Integrated Networks Spin 2015, 2015
Simulation of artificial intelligent controller based DVR for power quality improvement
N. Srinivasa Rao, A. Selwin Mich Priyadharson, J. Praveen
Procedia Computer Science, 2015
Effect of unsymmetrical faults on distribution lines with different line X/R ratios and voltage restoration using DVR with space vector control
P.N.K. Sreelatha, J. Praveen, V. Kamaraju
2012 International Conference on Computing Electronics and Electrical Technologies Icceet 2012, 2012
Review of Dynamic Voltage Restorer for power quality improvement
J. Praveen, P. Bishnu, S.V. Muni, H.V. Makthal
IECON Proceedings Industrial Electronics Conference, 2004

Praveen Jugge

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