- Network Time Synchronization Technologies
- Smart Grid Security and Resilience
- Digital Transformation in Industry
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Fault Detection and Control Systems
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Petri Nets in System Modeling
- Advanced Algorithms and Applications
- Blockchain Technology Applications and Security
- Water Quality Monitoring Technologies
- Flexible and Reconfigurable Manufacturing Systems
- Cloud Data Security Solutions
- Advanced Wireless Network Optimization
- Risk and Safety Analysis
- Machine Learning in Healthcare
- Mechatronics Education and Applications
- Smart Grid Energy Management
- Food Supply Chain Traceability
- Autonomous Vehicle Technology and Safety
- Advanced Data Processing Techniques
- Network Packet Processing and Optimization
- Internet of Things and AI
- Digital and Cyber Forensics
Sri Venkateswara University
2024-2025
SRM University
2023-2024
VIT-AP University
2024
Vellore Institute of Technology University
2022
National Institute of Technology Tiruchirappalli
2016-2021
National Institute of Science and Technology
2017-2019
The fourth industrial revolution promotes the numerous applications of internet things to transmit integrated information. Scheduling multi-data a distributed network involves many complications in maintaining performance. This paper introduces linear mixed model approach integration and transmission an enterprise network. includes computational scheme its performance evaluation model. proposed computation incorporates following contributions: i) simulation configured with domains...
The transportation methodologies followed nowadays have evolved a lot with the implementation of embedded features in it. With trends today's autonomous vehicles driven by batteries electric drives (EVs), present paper deals one key vehicle, Fuzzy based Lidar sensor model. focus on sensing LiDAR fuzzy control model respect to movement vehicle parameters like braking and throttle values referred distance object from vehicle. describes complete analysis forward direction developing loop, rules...
<p class="03IJISAEAbstract">Aqua-stream, an innovative internet of things (IoT) enabled water management system, utilizes the power long short-term memory (LSTM) networks, a sophisticated time-series forecasting machine learning technique with Kafka. Aqua-stream seamlessly integrates LSTM within Kafka streaming architecture for efficient real-time data processing, ensuring quick responses to emerging needs. is employed anomaly detection, dynamically analyzing prevent leaks through...
This paper introduces a network model for analysing the time delays of scheduled and unscheduled communication services among field devices used in process automation. The proposed is implemented by configuring multiple control loops real-time into network. consensus designed using segment checkerTM simulation software. simulated re-configured mapping virtually. Every device treated as node data accessed. recorded both field-bus topology environment performance compared with delay. better...
The large integrated industrial applications require unified communication to combine data from multiple domains forming a hybrid network. scheduling of network access time multi-domain in an is challenging task. This paper extends the contribution model mentioned literature assess bandwidth both scheduled and unscheduled networked control systems. paper's includes four phases as follows: a) simulation system (h-NCS) consists with different allocations for application transmitting packet...
Periodic and aperiodic data communication binds with the time of transmission in any networked control system. The scheduling periodic is an essential to maintain process maintenance plant. classification implemented through Support Vector Machine (SVM) literature may cause ambiguity differentiating packets involved application configured for present paper studies on using SVM consequences incorporating reinforcement learning SVM. This reinforced reduces packet so that will be more effective
An industrial process control system comprises sensors, controllers, and actuators, essential for maintaining the overall process. These fundamental components are interconnected through a dedicated network, forming networked systems widely utilized in automation. Communication among local controller is facilitated by various protocols such as foundation fieldbus Modbus. The primarily involve two types of communication: periodic aperiodic, enabling transmission information data across...
Reliability analysis of standby redundant systems is essential in continuous industrial process applications. This paper proposes the Markov chain modelling networked control system with elements. It involves evaluation all operating, repair and failure states elements their probabilities using stochastic transitional probability matrix. The frequency each encountering state presented to predict reliability system. results mathematical approach are illustrate performance proposed model...
The Distributed Control System (DCS) contains more than one Remote Units (RCU) for effective control of process. conventional Module bus technology is used to incorporate the over different controllers in order achieve a robust, reliable and sophisticated network. But main problem associated high wiring cost, limited channel capacity I/O Module, low speed complex interoperability. Due above reasons, open communication architecture based on IEC 62734 concepts are proposed this research work....
Balancing of load on a networked control system is an important operation in continuous process control. An unbalanced causes overloading network, which results loss data or interruption accessing the real-time data. This paper involved identification factors and their dependency using correlation further detection anomaly network. Also, mathematical relationship between devices network developed for prediction with help statistical regression analysis. Foundation Fieldbus segment, popularly...