Improved Energy Efficient Divergent Path Routing for Energy-Harvesting Wireless Sensor Networks S. Sivakumar, V. Sabaresan, S. Om Prakash, T. B. Dharmaraj Proceedings of the 9th International Conference on Communication and Electronics Systems Icces 2024, 2024 Since packets are dropped when there is an insufficient connection between each of the sensor nodes in the network, a sensor node in a sensor network is unable to efficiently aggregate the data packets. Since each area has a different sensor node location, the sender node rarely shares information with its neighbour. Only a certain number of packets are received for each communication, the rest are dropped, and the communication is lost. In order to determine each node's minimum residual energy level, the node transmits packets on the path once more. It raises the energy consumption and packet loss rate. Energy-efficient packet aggregation along the network environment is the goal of the suggested Improved Energy Efficient Divergent Path Routing (IEEDP) technique. The node's position is clearly tracked before a different route is assigned for routing. Using metrics such as end-to-end delay, overhead for communication, packet delivery ratio, link stability, consumption of energy, packet loss, and network lifetime using a simulation model, the suggested improved energy efficient divergent path routing (IEEDP) approach outperformed existing methods like Wireless Access Range (WAR) and Congestion-Aware Clustering And Routing (CCR). Energy preservation is a process to extend the network's lifetime by examining the residual Energy Effects on EH-WSN. The Combining Packet Aggregation algorithm is made for sensor networks and collects data packets without any loss during the entire transmission period from the origin node to a target node in a network environment. It lowers energy consumption and packet loss rate.
Improved DDoS Attack Detection Algorithm for SDN Networks Using Random Opposition-Based Particle Swarm Optimization and Machine Learning T. B. Dharmaraj, Stalin Subbiah, D. Praveen Prabhu, M. Ramya, S. Om Prakash Iet Conference Proceedings, 2024 There is growing concern about network security due to the proliferation of distributed denial-of-service (DDoS) attacks, which are particularly problematic in Software-Defined Networking (SDN) setups. There is a growing requirement for robust defence mechanisms against various assaults as the difficulty of establishing cybersecurity increases. Therefore, it is essential to create Machine Learning (ML) and Deep Learning (DL) systems that improve cybersecurity by identifying irregularities and risks in computer networks. This paper introduces a data-driven intrusion detection system that uses ML and DL methods to detect AI-powered cyber threats and prevention. In this study, we examine the similarities and differences between two intrusion detection categorization approaches, both of which have their own merits. Following dimensionality reduction with the Particle Swarm Optimization (PSO) algorithm, we use two different classifiers: the Support Vector Machine (SVM) and convolutional neural network (CNN). In order to properly classify network anomalies, these classifiers are employed. We used the CICddos2019 dataset to verify the effectiveness of the detection methods. The effectiveness of the applied system against various types of cyberattacks is measured using various success indicators, including specificity, recall, F1 score, accuracy, precision, and consistency. In addition, we compared the two classifiers to determine which one was more effective in terms of accuracy, detection rate (DR), and false positive rate (FPR). In addition, the proposed system is evaluated by comparing it to existing intrusion detection methods. Compared to the PSO + SVM algorithm, the proposed PSO + CNN classifier demonstrated substantial improvement in terms of spotting network outliers. The results prove that the proposed method improves cybersecurity.
Exploring the Mechanical Properties of Modified Pistachio Shell Particulate Composites through Experimental Investigation S. Om Prakash, V. Srinivasan, Dinesh Kirupha Selvaraj, S. Nandhakumar, T.B. Dharmaraj SAE Technical Papers, 2024 <div class="section abstract"><div class="htmlview paragraph">The present study focuses on the impacts of pistachio shell particles (2–10 wt.%) on the mechanical and microstructures properties of Al–Cu–Mg/pistachio shell particulate composites. To inspect the impact of the pistachio shell powder content with Al–Cu–Mg alloys, the experimentation was carried out with different alloy samples with constant copper (Cu) and magnesium (Mg) content. Parameters such as hardness, tensile strength with yield strength and % elongation, impact energy, and microstructure were analyzed. The outcomes demonstrated that the uniform dissemination of the pistachio shell particles with the microstructure of Al–Cu–Mg/pistachio shell composite particulates is the central point liable for the enhancement of the mechanical properties. Incorporating pistachio shell particles, up to 10 wt.%, is a cost-effective reinforcement in the production of metal matrix composites for various manufacturing applications.</div></div>
A Review on Natural Fibre-Reinforced Biopolymer Composites: Properties and Applications S. Om Prakash, Parul Sahu, Mohankumar Madhan, A. Johnson Santhosh International Journal of Polymer Science, 2022 In ongoing decades, material researchers and scientists are giving more consideration towards the improvement of biobased polymer composites as various employments of items arranged by natural fibres and petrochemical polymers prompt natural awkwardness. The goal of this review paper is to provide an intensive review and applications of the foremost appropriate commonly used biodegradable polymer composites. It is imperative to build up the completely/incompletely biodegradable polymer composites without bargaining the mechanical, physical, and thermal properties which are required for the end-use applications. This reality roused to create biocomposite with better execution alongside the least natural effect. The utilization of natural fibre-reinforced polymer composites is concerned with the mechanical properties that are highly dependent on the morphology, hydrophilic tendency, aspect ratio, and dimensional stability of the natural fibre. With this in-depth consideration of eco-friendly biocomposites, structural application materials in the infrastructure, automotive industry, and consumer applications of the following decade are attainable within the near future.
Experimental Studies on the Performance of Graphene Oxide Based Hybrid Nanopolymers for Bearing Applications Geetha Rajamani, Madhan Mohankumar, Gopinath Dhamodaran, S. Om Prakash, A. Johnson Santhosh International Journal of Polymer Science, 2022 In this experimental study, graphene oxide-blended glass-filled nylon (GO-GFN) hybrid nanopolymer composites were developed and characterized. Transmission electron microscopic studies were performed to study the dispersion of graphene oxide in glass-filled nylon composites. Dynamic mechanical analysis and thermogravimetric analyses were conducted on the fabricated hybrid nanopolymer composites to analyze the mechanical and thermal stability. Mechanical properties were investigated by tensile test. The test showed improvements in young’s modulus and tensile strength. Water absorption test was conducted to study the water absorption resistance of the hybrid nanopolymer composites. Finally, roller bearings with graphene oxide and glass-filled nylon were fabricated and analyzed for wear under varying load and speed conditions in the test rig developed in-house. The tests proved the suitability of deploying hybrid nanopolymer composites for bearing applications.
Comparative Analysis of Ant Colony Optimization and Particle Swarm Optimization for Test Case Prioritization Mugilan A, Tushar Totla, Yash Renwa, Charanya R, Stalin Subbiah, T. B. Dharmaraj, S. Om Prakash 2022 International Conference on Innovation and Intelligence for Informatics Computing and Technologies 3ict 2022, 2022 To boost the efficiency of testing and save time and money in the construction of the testing program, the test case prioritization technique prioritizes a subset of the full test suite and optimizes the execution order of the test cases. The goal of this paper is to classify and compare the performance of two nature-based test case prioritization techniques: To overcome the problem of needing to perform the whole test suite at some point, resulting in time and expense limits, we used Ant Colony Optimization and Particle Swarm Optimization. We chose a sample test suite and prioritized the test cases for our research. An experimental investigation of the acquired data will be useful in selecting the best prioritizing technique under various environmental constraints. For our analysis, we selected a sample test suite and prioritized the test cases. In various environmental restrictions, an experimental study of the findings collected will be valuable in determining the optimum prioritization strategy. The findings of both algorithms showed high global optimization abilities, with the ant colony strategy outperforming the particle swarm optimization approach.
Effect of backing plate on mechanical and microstructural properties of tungsten inert gas welded AA 6063 butt joints S Om Prakash, P Karuppuswamy, M Sowrirajan Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2021 In the present scenario, ship building industries are frequently associated with welding process to explore the benefits of improved strength over the parent material. Development of new techniques to enhance the processes is of a part of the usual practice in industries. In the present work, as a supportive measure, backing plate was introduced to develop the weldments with enhanced properties. The central composite design array specimens, a widely used aluminum alloy in marine application AA 6063 were prepared by TIG welding process with the help of backing plates of different materials. Effect of backing plate material on the properties such as ultimate tensile strength and microhardness of the weld joints were investigated. A detailed study of microstructure and macrostructure on the weldment was also done. Results exhibit a considerable improvement for the recommendation of using copper backing plates in the welding processes.
Optimal corrosive behaviour on the weldment of AA6063 aluminum alloy by tungsten inert gas (TIG) welding process with backing plates Metalurgija, 2019
