IoT-based smart energy meter for smart grids P Kalyan Chakravarthi, D. Yuvaraj, V Venkataramanan Icdcs 2022 2022 6th International Conference on Devices Circuits and Systems, 2022 In the development of an intelligent grid in the energy system,energy efficiency is critical. As a result, proper power usage monitoring and control is essential for a smart grid. The existing power meter system has a number of flaws,one of which being the lack of a full duplex connection. To overcome this, an intelligent meter which works on IOT is proposed in this work. Instead of calculating power consumption with meter reading alone, can manage and calculate the consumption by uploading through cloud. Further the buyer can examine it. As a result, consumer power analysis becomes considerably easier and more controllable. This programme also aids in the detection of energy fraud. As a result, it will initiate a new step towards digital india by taking smart meters in to the real time power consumption calculations.
Anomaly Detection of Smart Grid Equipment Using Machine Learning Applications Arun Sekar Rajasekaran, P. Kalyanchakravarthi, Partha Sarathi Subudhi Distributed Generation and Alternative Energy Journal, 2022 Many application systems in today’s smart grid network comprise a variety of middleware components, such as vibrating or spinning electrical equipment, data bases, storage, caches, and identification services, among others. Each component is a discrete bundle of physical or virtual computers that will generate a large amount of data in the form of logs and metrics, and failure of these high-vibrating machines will result in the system’s entire shutdown. As a result, the condition monitoring system for this smart grid equipment is more dependable and efficient in predicting the machine’s health ahead of time. To analyze the data and derive any inferences for future analysis and anomaly detection, we’ll need a separate system, which will take longer to handle data given by each component and will demand additional processing resources. As a result, in this chapter, machine learning methods are used to identify abnormalities or condition monitoring for smart grid equipment and machines. Here, we used two separate methods: multivariate statistical analysis by calculating Mob distance and auto encoders, which is an artificial neural network approach. Furthermore, the findings demonstrate that these apps are effective in identifying anomaly ahead of time, i.e. before a few days.
IOT based Smart solution for Traffic congestion at Metro Cities T. V. Janardhana Rao, R. Arun Sekar, B. Drakshyani, P Kalyan Chakravarthi, N. Kumareshan, S. P. Karthi Proceedings of the 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2022, 2022 The major challenge in metro cities is to handle the vehicle traffic as well as pedestrian traffic at major locations. Over a day nearly 20% time is spend in our work or personal time to over come the delay at traffic to reach the destination. Traffic management systems have been the subject of much study, but because of the blending of technologies like the Internet of Things (IoT) and artificial intelligence, research on intelligent traffic monitoring is currently ongoing (AI). By integrating these technologies, we can improve decision-making processes and promote urban development. The management of urban and highway traffic is the primary emphasis of the available traffic prediction techniques, and there are few studies that have concentrated on collector roads and closed campuses. Furthermore, when the consumers are not using any smart gadgets, it is difficult to reach out to the public and create active relationships to help them make decisions. In order to gather, analyse, and store real-time traffic data for such a situation, this study suggests an IoT-based system paradigm. The goal is to increase mobility by using roadside messaging devices to provide real-time traffic reports on traffic congestion and unexpected traffic events. These time-saving alerts will benefit residents, particularly during rush hour. Also disseminated by the system are the administrative authorities' traffic updates. The results of the trials demonstrate high accuracy in vehicle recognition and a low relative error in road occupancy prediction. A prototype is used to assess the viability of the model. The research project, which is financed by Omani, is looking at Real-Time Feedback for Adaptive Traffic Signals.
A Novel System Model for Managing Cyber Threat Intelligence Suresh Dannana, T. Prabakaran, Arun Sekar Rajasekaran, N. Kumareshan, S. Finney Daniel Shadrach, Kalyanchakravarthi P Mysurucon 2022 2022 IEEE 2nd Mysore Sub Section International Conference, 2022 Cyber threat intelligence (CTI) systems, which collect CTI statistics since publically accessible resources, have been the subject of much study as a means of mitigating the ever-evolving cyber dangers. Due to the ever-increasing sophistication and persistence of cyber attackers, as well as the lightning-fast pace at which cyber assaults develop, quick decision making is now crucial to the sustained security of most companies. As a result, several businesses have started using threat intelligence management systems to better coordinate their defences against cyber threats and those of other companies. Getting a handle on how these platforms should be built, deployed, and utilised requires first knowing how successful they have been in the past. However, a lack of consensus on what aspects affect the performance of threat intelligence management systems exists between academia and industry. We used a review entrenched methodology to gather data from 152 security experts in order to empirically evaluate the concerns. Then, we determined a few variables that are critical to the effectiveness of management platform inside an organisation.
Optical character recognition technique algorithms Journal of Theoretical and Applied Information Technology, 2016
FPGA based architecture for realtime edge detection P. Kalyan Chakravathi, K Vijaya Kumar, P. Devi Pradeep, D Suresh Global Conference on Communication Technologies Gcct 2015, 2015 Edge Detection is one of the basic characteristics of the image. It is an important basis for the field of image analysis such as image segmentation, target area identification, extraction and other regional forms. The edge detection operators such as canny, sobel, prewitt operators detects the wide range of edges in image. These operators apply the convolution operation at each pixel to have gradient image. FPGA (Field programmable gate array) is fine grained reconfigurable architecture that can virtually perform any processing operation at a hardware level and satisfying real-time requirements for image processing. In FPGA hardware resources there are rich internal multipliers. The design process can directly call these resources to operate, so it is easy to implement complex convolution. FPGA based architecture for real time edge detection presents a new flexible parameterizable architecture which reduces latency and memory requirements. This architecture contains neighborhood extractors and threshold operators that can be parameterized at runtime. The algorithm simplifications reduces mathematical complexity, memory requirements, and latency without losing reliability. This architecture has clear advantage in terms of power consumption and maintain a reliable performance with noisy images.
Data-path selection mechanism based on physical layer impairments for wdm network Santos Kumar Das, Chakravarthi P. Kalyan, Sarat Kumar Patra International Journal of Signal and Imaging Systems Engineering, 2012 In optical networks, Physical Layer Impairments (PLIs) incurred by non-ideal optical transmission media accumulate along the optical path. The overall effect of PLIs determines the feasibility of the light-paths. It is important to understand the process that provide PLI information to the central manager and use this information efficiently to compute feasible routes and wavelengths. Based on the PLI impairments like fibre attenuation, Chromatic Dispersion (CD) and Polarisation Mode Dispersion (PMD), which reflects the Quality of service factors (Q-Factor); a centralised PLI-based routing algorithm is proposed for the selection of data-paths.
RECENT SCHOLAR PUBLICATIONS
AI based Optimized low latency solution for path selection in an Ad-hoc Network PK Chakravarthi, S Das 2025 International Conference on Advances in Modern Age Technologies for … , 2025 2025.0
Harnessing Solar Energy for a Sustainable Future By Using MyRIO and LabVIEW BA Kumar, PK Chakravarthi, BR Ratnala, AR Darbha, S Gunda, M Botsa 2024 International Conference on Computational Intelligence for Green and … , 2024 2024.0
AI Based Reliable and Secure Data Transfer in Wireless Networks P Kalyanchakravarthi, S Das International Conference on Broadband Communications, Networks and Systems … , 2024 2024.0
Study on biometric authentication systems, challenges and future trends: a review GYR P.Kalyanchakravarthi,K.Ravikumar Shodhasamhita : Journal of Fundamental & Comparative Research 9 (1), 152-158 , 2023 2023.0
A novel system model for managing cyber threat intelligence S Dannana, T Prabakaran, AS Rajasekaran, N Kumareshan, ... 2022 IEEE 2nd Mysore sub section international conference (MysuruCon), 1-5 , 2022 2022.0 Citations: 10
IOT based Smart solution for Traffic congestion at Metro Cities TVJ Rao, RA Sekar, B Drakshyani, PK Chakravarthi, N Kumareshan, ... 2022 International Conference on Innovative Computing, Intelligent … , 2022 2022.0 Citations: 15
Anomaly detection of smart grid equipment using machine learning applications AS Rajasekaran, P Kalyanchakravarthi, PS Subudhi Distributed Generation & Alternative Energy Journal, 1721-1738 , 2022 2022.0 Citations: 10
IoT–based smart energy meter for smart grids PK Chakravarthi, D Yuvaraj, V Venkataramanan 2022 6th international conference on devices, circuits and systems (ICDCS … , 2022 2022.0 Citations: 32
Virtual technology for smart education Kalyanchakravarthi, P., Varaprasad, D. Y., Rao, T. V. J., & Suresh International Journal of Health Sciences 6 (s2), 5457-5465 , 2022 2022.0
Enhancement of Old Images and Documents by Hybrid Binarization Techniques PKR P Kalyanchakravarthi International Research Journal of Engineering and Technology (IRJET) 6 (6 … , 2019 2019.0
OPTICAL CHARACTER RECOGNITION TECHNIQUE ALGORITHMS. NV Rao, A Sastry, ASN Chakravarthy, P Kalyanchakravarthi Journal of Theoretical & Applied Information Technology 83 (2) , 2016 2016.0 Citations: 104
FPGA based architecture for realtime edge detection PK Chakravathi, KV Kumar, PD Pradeep, D Suresh 2015 Global Conference on Communication Technologies (GCCT), 12-17 , 2015 2015.0 Citations: 5
Design and Development of Controller Software for MAS Receiver Using Embedded System K Haritha, PMK Prasad, M Jawaharlal, PK Chakravathi Journal of Innovation in Computer Science and Engineering 5 (1), 48-52 , 2015 2015.0
CENTRALLIZED WIRELESS POWER DISTRIBUTION DS Kalyan Chakravarthi P , K Vijayakumar Journal of Advances in Science and Technology 1 (1), 14-23 , 2015 2015.0
Improved SNR for High data rate transmission KVI D Suresh,P Kalyan Chakravarthi International Journal of Trend in Research and Development 2 (1), 1-5 , 2014 2014.0
Optimized Wireless Video Transmission Protocol PKC K Prabhakara Rao,Dr. P V Sridevi International Journal of Electronics & Communication Technology (IJECT) 3 (3 … , 2012 2012.0
Data-path selection mechanism based on physical layer impairments for WDM network SKP Santos kumar Das, P Kalyan Chakravarthi International Journal of Signal and Imaging Systems Engineering 5 (4), 239-245 , 2012 2012.0 Citations: 2
Physical Layer Impairments Aware Data-Path Selection (PLIADS) in WDM Network SK Das, SK Patra 2011.0
Physical Layer Impairments based Data-path Routing in WDM Network SK Das, SK Patra 2011.0
DESIGN OF DOUBLE PRECISION FLOATING POINT MULTIPLICATION ALGORITHM WITH VECTOR SUPPORT TG Rao, PD Pradeep, P Kalyanchakravarthi
MOST CITED SCHOLAR PUBLICATIONS
OPTICAL CHARACTER RECOGNITION TECHNIQUE ALGORITHMS. NV Rao, A Sastry, ASN Chakravarthy, P Kalyanchakravarthi Journal of Theoretical & Applied Information Technology 83 (2) , 2016 2016.0 Citations: 104
IoT–based smart energy meter for smart grids PK Chakravarthi, D Yuvaraj, V Venkataramanan 2022 6th international conference on devices, circuits and systems (ICDCS … , 2022 2022.0 Citations: 32
IOT based Smart solution for Traffic congestion at Metro Cities TVJ Rao, RA Sekar, B Drakshyani, PK Chakravarthi, N Kumareshan, ... 2022 International Conference on Innovative Computing, Intelligent … , 2022 2022.0 Citations: 15
A novel system model for managing cyber threat intelligence S Dannana, T Prabakaran, AS Rajasekaran, N Kumareshan, ... 2022 IEEE 2nd Mysore sub section international conference (MysuruCon), 1-5 , 2022 2022.0 Citations: 10
Anomaly detection of smart grid equipment using machine learning applications AS Rajasekaran, P Kalyanchakravarthi, PS Subudhi Distributed Generation & Alternative Energy Journal, 1721-1738 , 2022 2022.0 Citations: 10
FPGA based architecture for realtime edge detection PK Chakravathi, KV Kumar, PD Pradeep, D Suresh 2015 Global Conference on Communication Technologies (GCCT), 12-17 , 2015 2015.0 Citations: 5
Data-path selection mechanism based on physical layer impairments for WDM network SKP Santos kumar Das, P Kalyan Chakravarthi International Journal of Signal and Imaging Systems Engineering 5 (4), 239-245 , 2012 2012.0 Citations: 2
AI based Optimized low latency solution for path selection in an Ad-hoc Network PK Chakravarthi, S Das 2025 International Conference on Advances in Modern Age Technologies for … , 2025 2025.0
Harnessing Solar Energy for a Sustainable Future By Using MyRIO and LabVIEW BA Kumar, PK Chakravarthi, BR Ratnala, AR Darbha, S Gunda, M Botsa 2024 International Conference on Computational Intelligence for Green and … , 2024 2024.0
AI Based Reliable and Secure Data Transfer in Wireless Networks P Kalyanchakravarthi, S Das International Conference on Broadband Communications, Networks and Systems … , 2024 2024.0
Study on biometric authentication systems, challenges and future trends: a review GYR P.Kalyanchakravarthi,K.Ravikumar Shodhasamhita : Journal of Fundamental & Comparative Research 9 (1), 152-158 , 2023 2023.0
Virtual technology for smart education Kalyanchakravarthi, P., Varaprasad, D. Y., Rao, T. V. J., & Suresh International Journal of Health Sciences 6 (s2), 5457-5465 , 2022 2022.0
Enhancement of Old Images and Documents by Hybrid Binarization Techniques PKR P Kalyanchakravarthi International Research Journal of Engineering and Technology (IRJET) 6 (6 … , 2019 2019.0
Design and Development of Controller Software for MAS Receiver Using Embedded System K Haritha, PMK Prasad, M Jawaharlal, PK Chakravathi Journal of Innovation in Computer Science and Engineering 5 (1), 48-52 , 2015 2015.0
CENTRALLIZED WIRELESS POWER DISTRIBUTION DS Kalyan Chakravarthi P , K Vijayakumar Journal of Advances in Science and Technology 1 (1), 14-23 , 2015 2015.0
Improved SNR for High data rate transmission KVI D Suresh,P Kalyan Chakravarthi International Journal of Trend in Research and Development 2 (1), 1-5 , 2014 2014.0
Optimized Wireless Video Transmission Protocol PKC K Prabhakara Rao,Dr. P V Sridevi International Journal of Electronics & Communication Technology (IJECT) 3 (3 … , 2012 2012.0
Physical Layer Impairments Aware Data-Path Selection (PLIADS) in WDM Network SK Das, SK Patra 2011.0
Physical Layer Impairments based Data-path Routing in WDM Network SK Das, SK Patra 2011.0
DESIGN OF DOUBLE PRECISION FLOATING POINT MULTIPLICATION ALGORITHM WITH VECTOR SUPPORT TG Rao, PD Pradeep, P Kalyanchakravarthi
