Proceedings of the Second Congress on Control, Robotics, and Mechatronics
Description
This book features high-quality research papers presented at the International Conference of Mechanical and Robotic Engineering "Congress on Control, Robotics, and Mechatronics" (CRM 2025), jointly organized by SR University, Warangal, India, and Soft Computing Research Society, India, during 1-2 February 2025. This book discusses the topics such as combustion and fuels, controls and dynamics, fluid mechanics, I.C. engines and automobile engineering, machine design, mechatronics, rotor dynamics, solid mechanics, thermodynamics and combustion engineering, composite material, aerodynamics, aerial vehicles, missiles and robots, automatic design and manufacturing, artificial intelligence, unmanned aerial vehicles, autonomous robotic vehicles, evolutionary robotics, humanoids, hardware architecture, industrial robotics, intelligent control systems, microsensors and actuators, multi-robots systems, neural decoding algorithms, neural networks for mobile robots, space robotics, control theory and applications, model predictive control, variable structure control, and decentralized control.
More details
Other editions
Additional editions
Persons
Harish Sharma is an Associate professor at Rajasthan Technical University, Kota in Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota, and Government Engineering College Jhalawar. He received his B.Tech and M.Tech degree in Computer Engg. from Govt. Engineering College, Kota and Rajasthan Technical University, Kota in 2003 and 2009 respectively. He obtained his Ph.D. from ABV - Indian Institute of Information Technology and Management, Gwalior, India. He is secretary and one of the founder member of Soft Computing Research Society of India. He is a life time member of Cryptology Research Society of India, ISI, Kolkata. He is an Associate Editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience. He has also edited special issues of the many reputed journals like "Memetic Computing", "Journal of Experimental and Theoretical Artificial Intelligence", "Evolutionary Intelligence" etc. His primary area of interest is nature inspired optimization techniques. He has contributed in more than 125 papers published in various international journals and conferences.
Dr. Pradeep Kumar Jha is presently working as Professor in the Department of Mechanical and Industrial Engineering. After receiving Bachelors and Masters degree from M.I.T. Muzaffarpur, Bihar and National Institute of Foundry and Forge Technology, Ranchi, Jharkhand in the year 1995 and 1999 respectively. Professor Jha obtained his Ph.D. degree from IIT Kharagpur in the year 2004. Prior to joining as Assistant Professor in IIT Roorkee in the year 2007, he also served as Sr Lecturer and Assistant Professor at IIT Guwahati and IIT (ISM) Dhanbad respectively. Prof. Jha specializes in the area of Manufacturing Engineering, with special emphasis on casting operations, Modeling and simulation of continuous casting operations and Metal Matrix Composites. He has to his credit more than 100 publications in International and national journals and conferences and two book chapters. He earns immense respect among the researchers working in the domain of process modelling studies in continuous casting, owing to novel and impactful research contributions in that domain, the most recent being use of magneto-hydrodynamic applications in continuous casting. In his broad area of expertize, he has supervised so far 10 Doctoral thesis and nine students are already on roll. He has also supervised about 40 M.Tech thesis and 25 B.Tech thesis. He has dealt many sponsored research projects from funding agencies like DST, CSIR, SERB (Govt of India). Prof. Jha has been involved with teaching of subjects with Manufacturing and Thermal streams. He has been an active contributor to the online education platform, NPTEL, sponsored by Government of India, by developing and running eight different courses in the domain of his teaching and research. These courses are very popular among students of IITs, IIMs and other Engineering Institutes of the country and even abroad. Professor Jha has organized two International Conferences and four short term courses under CEC/QIP/TEQIP cell of IIT Roorkee. Professor Jha has been the member of professional bodies like ASME, Indian Institute of Metals, Institute of Indian Foundrymen and Indian Water Resources Society. He has been on the panel of reviewers of many International Journals.
Prof. Prashant K. Jamwal earned PhD degree and a post-doctoral fellowship from the University of Auckland, New Zealand. Earlier he had obtained M. Tech. from I.I.T., India, securing first position in all the disciplines and B. Tech. from MNREC, Allahabad, India. Presently, he is working as Professor at the school of engineering and design sciences, Nazarbayev University (NU), Astana, Kazakhstan and as adjunct professor at University of Canberra, Australia. He is actively pursuing research in Robotics and Artificial Intelligence, multi-objective evolutionary optimization, biomedical engineering, and Renewable energy. Over the past decade, he has applied his research in the development of medical robots for rehabilitation and surgical applications besides developing improved algorithms for cancer data analytics. Prof. Prashant received three prestigious World Bank Grants and has launched two startup companies and established a Center of Excellence in Medical Research and Robotics. Lately, he has successfully commercialized an autonomous robotic Gait Rehabilitation System after furnishing all the regulatory requirements, thus making expensive medical robots accessible to small clinics. He has more than 25 years of teaching and research experience and has published more than 100 research articles in reputed international journals/conferences. Prof. Prashant has won many awards such as Jewel of India, Asian Universities Alliance Scholar Award, Best paper awards, etc., and in 2019 United Nations acknowledged one of his robotics projects in top twenty innovative projects in the world. He is working as Editor for the International journal of bio-mechatronics and bio-robotics and as reviewer to quite a few international journals and conferences of repute. Prof. Jamwal led many international funded research projects and has so far received research grants worth more than $9 million including prestigious World Bank grants.
Dr. Brajesh Tripathi received his PhD in Mechanical Engineering in 2008 from Indian Institute of Technology Kharagpur, India. He was a Post Doctorate Fellow at the Michigan State University, USA for two and hald years and worked on a US government sponsored project on Computational Fluid Dynamics. Presently, he holds the Associate Professor positions at Rajasthan Technical University Kota. Dr. Triapthi received 06 research grants for various sponsored projects from GNIDA, NAL, BRNS, MHRD and AICTE. He has guided 08 PhD's and 26 M. Tech. Scholars. He has published more than 130 research articles in peer reviewed International Journals and Conferences. Dr. Tripathi's primary interest is working on practical problems using fundamental concepts of Computational Fluid Dynamics especially in diesel engine, heating, ventilation and air-conditioning, turbulent flows, unconventional energy systems etc.
Dr. Pankaj Kumar is the associate professor and head of Mechanical Engineering Department, SR University, Warangal. In 2011, he received a Teaching Assistant Fellowship from the Ministry of Human Resource Development of India. He received his Ph.D. from IIT(ISM) Dhanbad. Dr. Pankaj has more than 15 years of experience in the design, fabrication, and characterization of micro to nanoscale components using unconventional techniques. His current research includes Additive Manufacturing, Micromachining, Composite materials processing technology, Nano-materials, and Sustainable Manufacturing, Biotechnology. He has published over 50 research articles in various international journals (Elsevier, Taylor, and Francis, Springer, IOP Science, Wiley) and conferences, 03 books, 10 book chapters, and 06 patents. He won the best paper award at the International Conference on Research Trends in Science, Technology, Engineering & Management 2019. He is in Editorial Board members PLOS ONE Journal. He is reviewer of many international journals. He has also given many invited talks at universities, workshops, and faculty development programs.
Content
Forecasting Energy Production at Solar Substations using Gated Recurrent Units Networks Optimized by Modified Metaheuristics.- Voltage Profile Optimization in AVR using Machine Learning Techniques.- Fall Detection Using Wi-Fi Signals: Adaptive Residual Dense Network with Convolutional Block Attention Module and Bio-Inspired Optimization Algorithm.- Leveraging Machine Learning for Patient-Friendly Medical Reports: Simplifying Healthcare Information for Improved Understanding and Decision-Making.- An Optimized Low-Energy Adaptive Uneven Clustering Hierarchy for Cognitive Radio Sensor Networks.- Automated License Plate Detection and Recognition.- Classifying Birds of South America via Audio Analysis with Convolutional Networks Optimized by Metaheuristics.- Automated Detection of Paddy Crop Diseases using Efficientnetb5 Model for Precision Agriculture.- Weighted Voting Based Deep Ensemble Learning Framework for Digital Watermark Classification.- Navigating Through Wormholes: A Review of Worm-hole Attacks in Network Security.- A Comparative Analysis of Sarcasm Detection on News Headlines using Machine Learning Techniques.- A Smart Jacket System for Continuous, Real-Time Health Monitoring and Environmental Adaptation in Extreme Snowy Climates.- Advancements in Wastewater Treatment and Reuse: A Critical Overview.- Universal ATM Card for Consolidated Account Management.- ForgeryGuard: Digital Shield for Document Security.- Next-Generation E-Commerce: Leveraging Blockchain and AI for Secure and Autonomous Shopping Ecosystems.- Dreamscapes and Virtual Realms: Exploring VR's Impact on Dream Patterns.- A Rule-based Intelligent Framework for Condition Monitoring of Sensor Health in PMSM Drives.- Enhancing Victim Detection in Disaster Scenarios: A YOLOv7 and YOLOv8 Performance Study.- Sentinel-2 Time Series Flood Mapping: Exploration of Flood Extent in the Caprivi Floodplain.- Identification of AI generated images via a Raspberry Pi camera in conjunction with ML models.- Smart Garden Irrigation System for Precision Watering and Plant Care.- Real-Time Multi-Sensor Embedded System for Environmental and Health Monitoring using IoT.- An Integrated Ensemble Learning Framework for Tool Condition Monitoring: Bridging Diagnostics and Prognostics to Enhance Manufacturing Productivity.- IoT-Integrated Air Quality Monitoring System.- Prediction of Venous Needle Displacement (VND) and Smart Saline Level Monitoring during Haemodialysis.- Efficient Water Quality Monitoring: Multi-Parameter Real-Time System with Integrated Visual Feedback Mechanism.- Healthsync: Redefining Integrated Healthcare with AI and Modern Web Technologies.- Automated Weed Detection in Agricultural Fields Using Deep Learning and Image Processing: A CNN- Based Approach.- Toward Hybrid Security Models in IoT: Exploring Elliptic Curve Cryptography and LSTM-Based Threat Detection Approaches.- Optimizing Musical Genre Recognition using CNN and MFCCs: A Deep Learning Approach.- Towards Hands-Free Threat Detection: A Voice-Activated Framework for Automated Penetration Testing.- Artificial Intelligence-Based System for Monitoring Fruit and Vegetable Freshness and Quality.- Vaultuino: An Arduino-based Multi-Factor Authentication and RFID Bank Safe Security System.- A Wavelet Transform-Based Method for Diagnosing Leaf Diseases in Precision Agriculture.- Tech-Savvy Pet Feeding: A Smarter Way to Care for Your Companion.- Unified Deep Learning Approach with Ensemble Framework for Improved Video Action Classification.- PathPower: Footstep-Driven Street Lighting.- Web-Integrated Heart Monitoring System using Microcontroller and Raspberry-Pi Server.- Deep Learning based Approach for Identifying Forged Handwritten Signatures.