Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
11
Scopus Publications
158
Scholar Citations
6
Scholar h-index
5
Scholar i10-index
Scopus Publications
Design and Implementation of IoT Based Vehicle Emergency Relieve System Mudit Sharma, Indu Bhardwaj, Saravanan D, Himanshu Parashar, Meenakshi Awasthi 2024 International Conference on Electrical Electronics and Computing Technologies Iceect 2024, 2024 There are many accidents occurring every minute as a result of population growth. These traffic mishaps never seem to be predicted. In certain cases, the majority of accidents may not be appropriately reported in a timely manner to the closest ambulance services. Typically, emergency services are not readily available and are deficientin delivering prompt care and first aid, which may result in a few minutes' difference in death. Therefore, it is necessary to create a system that addresses each of these issues and SOS is capable of overcoming the delay time brought by directly informing the family members of the victim with the help of an app so that they can take immediate action and help their family members in that situation. In this paper an IoT based emergency relieve system is proposed for vehicles. The benefits of this system are that their family members of injured will directly informed and immediate action can be taken by them by informing the concerned emergency services. This system does not consist of many sensors due to which it is not so much complex, easy to install and cost effective.
Exploring Different Bypass Schemes for Photovoltaic Modules in Partial Shading Conditions: A Comprehensive Analysis D Saravanan, B Ganesh Reddy, Indu Bhardwaj, B Sai Hemanth, T Rehana, K Shankar 2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing Akgec 2024, 2024 Photovoltaic (PV) energy stands as a pivotal force in modern society, offering significant potential for reducing our carbon footprint. Despite its widespread adoption, commercial-grade PV modules face various technological challenges, notably hotspots caused by partial shading. Traditionally, a single bypass diode across one-third of module cells addresses this issue, but recent research shows its inadequacy, leading to hotspots and premature failure. In response, recent technological advancements introduce alternative solutions using solid-state switches, showing promising results in enhancing bypass circuits' effectiveness. This study examines two bypass schemes across PV panels of the arrays with different configurations. Results highlight the superiority of employing solid-state switches (Power MOSFET) in the bypass path. This innovative approach surpasses conventional methods, offering a compelling solution to the persistent challenges facing commercial-grade PV modules.
Design of Alcohol Detection and Alert System for Vehicles Indu Bhardwaj, Saravanan D, Ajay Bhardwaj, Daman Yadav, Vijeta Kumari, R Ramesh Kumar Proceedings IEEE 2024 1st International Conference on Advances in Computing Communication and Networking Icac2n 2024, 2024 Recent days accidents are increasing on an exponential basis due to drinking and drive. Driving after drinking alcohol is a major cause of the majority of the accidents due to which sometimes innocent people lose their lives. As the number of vehicles is increasing day by day, accidents are also occurring due to many reasons but alcohol consumption is a major factor in many of the accidents. To avoid these accidents, an alcohol detection and alert system for vehicles is proposed in this paper that is based on MQ3 sensor. The proposed system gives a coherent solution to control injuries because of consumption of alcohol while driving. The alcohol detected by the MQ-3 sensor is processed via an ATmega328P Microcontroller that collate it with a fixed threshold for compliance. The device will nonstop monitor concentration of alcohol by the alcohol recognition sensor and consequently flip off the working of automobile’s engine if the alcohol concentration is exceeding threshold value. The replica can even send the alert of locality of the car via SIM900A (GSM module). The model presents an adequate answer to regulate injuries by the influence of alcohol driving. The LCD module is used to show that alcohol has been identified. The proposed system is cost effective, less bulky and more reliable.
Message from Editors 2022 IEEE Global Conference on Computing Power and Communication Technologies Globconpt 2022, 2022 The conference aims to pool all the research talent and energy -within the country and beyond.It is hoped that through this approach, a greater understanding and a higher level of cross discipline co-operation could be created.The conference will imitate the format used in top conferences internationally in order to create the actual ambience felt during the sessions.This would be an opportunity for participants to sharpen their presentation skills in preparing themselves for greater things to come.I would like to take this opportunity to thank the Organizing Committee for their hard work in making sure that GLOBCONPT 2022 would be a success.I hope the participants would enjoy the conference.Thank you for participating in the GLOBCONPT 2022.I encourage you to take advantage of this ultimate learning environment so you can advance your skills, enhance your applications, and maintain your competitive advantage.
Data Sensitive Algorithm Integrated with Compression Technique for Secured and Efficient Utilization of Cloud Storage Mohd Tajammul, Rafat Parveen, Nitin K Gaur, Saravanan D 2021 IEEE 4th International Conference on Computing Power and Communication Technologies Gucon 2021, 2021 The success and popularity of cloud computing is obvious from technological advancement. It is gaining confidence of clients by offering cost effective architecture supporting computation transmission and data storage. These trustworthy data services face lots of challenges just because of loss of control over data as well as cloud abstract nature. For handling security related issues, lots of encryption – decryption algorithms have already been designed and implemented. All of pre-existing algorithms require key from the user and then start encryption accordingly. The main objective of this research paper is to design and implement new algorithms that can produce key on sensing data automatically and consequently encrypt data on the basis of key produced. Algorithm1 has been designed into phases, in first phase it senses the data and generates key, in second phase it encrypts the data and in third phase it compresses the data. Algorithm2 has also been design into phases, in first phase it decompresses, in second phase it decrypts the data. Algorithm3 has been designed only. Its implementation is under progress and may be seen in future scope of the paper. For securing data, we have used the concept of encryption-decryption and for efficient utilization of cloud storage we have compressed the data by using GZIP java inbuilt library with ZIP package. Collectively Algorithm1 and Algorithm2 have been entitled as Data Sensitive Algorithm (DSA).
Phishing URL Classification Analysis Using ANN Algorithm Krishna Mridha, Jahid Hasan, Saravanan D, Ankush Ghosh 2021 IEEE 4th International Conference on Computing Power and Communication Technologies Gucon 2021, 2021 Over the years in social engineering, phishing URLs became a significant threat for internet users as most cyber-crime or attacks redirect to individual target users by sending a malicious or crafted URL which allows the attacker to capture sensitive pieces of information of the victim users. According to this research, most of the existing phishing detection tools showed an overall accuracy level of 70% to 92.52%. This paper introduced a random forest (RF) and artificial neural network(ANN) based machine learning (ML) algorithmic classification models for detecting phishing URLs effectively with higher accuracy. The experimental results showed that the proposed RF and ANN models could classify phishing URLs' legitimacy labels with an efficiency rate of up to 99%, much more significant than traditional ways. In this paper, this comparison's algorithmic learning models demonstrate that the proposed ANN classification holds a competent accuracy label of 98.72%.
Fault prediction of transformer using machine learning and DGA D. Saravanan, Ahmad Hasan, Ajit Singh, Hannan Mansoor, Rabindra Nath Shaw 2020 IEEE International Conference on Computing Power and Communication Technologies Gucon 2020, 2020 The Power Transformer are the most Crucial part of power System and its failure may result in not only interrupted power supply but also great economic loss. So, it is important to monitor transformer health on daily bases. Many diagnostic techniques are available for this purpose out of which DGA have been an important technique. Although DGA (Dissolved Gas Analysis) is good technique but it depends mostly on the expertise on human. Hence it is not the fastest faults diagnostic tool. This paper uses the Multilayer Artificial Neural Network Model and Support Vector Machine Classifier Model in order to predict the Fault condition of transformer using DGA (Dissolved Gas Analysis) Data. The Support Vector Machine Classifier has shown better results around 81.4% then the Multilayer Artificial Neural Network which give prediction result accuracy around 76 %.
Design of alcohol detection and alert system for vehicles I Bhardwaj, D Saravanan, A Bhardwaj, D Yadav, V Kumari, RR Kumar 2024 1st International Conference on Advances in Computing, Communication … , 2024 2024.0 Citations: 3
Exploring Different Bypass Schemes for Photovoltaic Modules in Partial Shading Conditions: A Comprehensive Analysis D Saravanan, BG Reddy, I Bhardwaj, BS Hemanth, T Rehana, K Shankar 2024 2nd International Conference on Advancements and Key Challenges in … , 2024 2024.0 Citations: 1
Design and Implementation of IoT Based Vehicle Emergency Relieve System M Sharma, I Bhardwaj, H Parashar, M Awasthi 2024 International Conference on Electrical Electronics and Computing … , 2024 2024.0 Citations: 2
A critical cloud security risks detection using artificial neural networks at banking sector R Velmurugan, R Kumar, D Saravanan, S Patnaik, SK Ikkurthi Artificial Intelligence for Smart Healthcare, 75-93 , 2023 2023.0 Citations: 8
A Compact SiC Power Module Gate Driver for High-voltage EV Application with SPI Initialization, Fault monitoring and Diagnostics K Ghosh, D Saravanan, K Hatua, A Mitra 2022 IEEE International Conference on Power Electronics, Drives and Energy … , 2022 2022.0
RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network NK Rai, D Saravanan, L Kumar, P Shukla, RN Shaw Applications of AI and IOT in Renewable Energy, 181-192 , 2022 2022.0 Citations: 19
Phishing URL classification analysis using ANN algorithm K Mridha, J Hasan, A Ghosh 2021 IEEE 4th International Conference on Computing, Power and Communication … , 2021 2021.0 Citations: 28
AI and IOT-Based Model for Photovoltaic Power Generation AG Harshit Kumar Huneria, Pavan Yadav, Rabindra Nath Shaw, D. Saravanan Innovations in Electrical and Electronic Engineering , 2021 2021.0 Citations: 15
Fault prediction of transformer using machine learning and DGA D Saravanan, A Hasan, A Singh, H Mansoor, RN Shaw 2020 IEEE international conference on computing, power and communication … , 2020 2020.0 Citations: 60
A comprehensive study of well-konown maximum power point tracking techniques D Saravanan, D Singh, S Sinha, RN Shaw, K Prabu 2020 IEEE International Conference on Computing, Power and Communication … , 2020 2020.0 Citations: 15
Non-parametric frontier analysis models for relative performance evaluation S Gupta, VK Yadav, S Ghosh, D Saravanan Innovations in Electrical and Electronic Engineering: Proceedings of ICEEE … , 2020 2020.0 Citations: 5
Barcode Based Student Query System- GALSIRI SD K Prabu, Saravanan D, Rahul Kumar Ojha International Journal of Advanced Science and Technology 29 (No. 5), pp … , 2020 2020.0
A Hybrid Power Control of AC/DC-DC Converter Systems for High Power and High Voltage Gain Application D Saravanan, M Kumaresan Indian J. Sci. Technol 10 (24), 1-17 , 2017 2017.0 Citations: 2
Analysis and Design of High Step-Up DC-DC Converter for Photovoltaic Application D Saravanan, C Govindaraju
MOST CITED SCHOLAR PUBLICATIONS
Fault prediction of transformer using machine learning and DGA D Saravanan, A Hasan, A Singh, H Mansoor, RN Shaw 2020 IEEE international conference on computing, power and communication … , 2020 2020.0 Citations: 60
Phishing URL classification analysis using ANN algorithm K Mridha, J Hasan, A Ghosh 2021 IEEE 4th International Conference on Computing, Power and Communication … , 2021 2021.0 Citations: 28
RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network NK Rai, D Saravanan, L Kumar, P Shukla, RN Shaw Applications of AI and IOT in Renewable Energy, 181-192 , 2022 2022.0 Citations: 19
AI and IOT-Based Model for Photovoltaic Power Generation AG Harshit Kumar Huneria, Pavan Yadav, Rabindra Nath Shaw, D. Saravanan Innovations in Electrical and Electronic Engineering , 2021 2021.0 Citations: 15
A comprehensive study of well-konown maximum power point tracking techniques D Saravanan, D Singh, S Sinha, RN Shaw, K Prabu 2020 IEEE International Conference on Computing, Power and Communication … , 2020 2020.0 Citations: 15
A critical cloud security risks detection using artificial neural networks at banking sector R Velmurugan, R Kumar, D Saravanan, S Patnaik, SK Ikkurthi Artificial Intelligence for Smart Healthcare, 75-93 , 2023 2023.0 Citations: 8
Non-parametric frontier analysis models for relative performance evaluation S Gupta, VK Yadav, S Ghosh, D Saravanan Innovations in Electrical and Electronic Engineering: Proceedings of ICEEE … , 2020 2020.0 Citations: 5
Design of alcohol detection and alert system for vehicles I Bhardwaj, D Saravanan, A Bhardwaj, D Yadav, V Kumari, RR Kumar 2024 1st International Conference on Advances in Computing, Communication … , 2024 2024.0 Citations: 3
Design and Implementation of IoT Based Vehicle Emergency Relieve System M Sharma, I Bhardwaj, H Parashar, M Awasthi 2024 International Conference on Electrical Electronics and Computing … , 2024 2024.0 Citations: 2
A Hybrid Power Control of AC/DC-DC Converter Systems for High Power and High Voltage Gain Application D Saravanan, M Kumaresan Indian J. Sci. Technol 10 (24), 1-17 , 2017 2017.0 Citations: 2
Exploring Different Bypass Schemes for Photovoltaic Modules in Partial Shading Conditions: A Comprehensive Analysis D Saravanan, BG Reddy, I Bhardwaj, BS Hemanth, T Rehana, K Shankar 2024 2nd International Conference on Advancements and Key Challenges in … , 2024 2024.0 Citations: 1
A Compact SiC Power Module Gate Driver for High-voltage EV Application with SPI Initialization, Fault monitoring and Diagnostics K Ghosh, D Saravanan, K Hatua, A Mitra 2022 IEEE International Conference on Power Electronics, Drives and Energy … , 2022 2022.0
Barcode Based Student Query System- GALSIRI SD K Prabu, Saravanan D, Rahul Kumar Ojha International Journal of Advanced Science and Technology 29 (No. 5), pp … , 2020 2020.0
Analysis and Design of High Step-Up DC-DC Converter for Photovoltaic Application D Saravanan, C Govindaraju
