Proceedings of Congress on Control, Robotics, and Mechatronics

CRM 2023
1. Auflage 2024
ISBN: 978-981-99-5179-6
Verlag: Springer Nature Singapore

Buch, Englisch, 691 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1183 g

Reihe: Smart Innovation, Systems and Technologies

This book features high-quality research papers presented at the International Conference of Mechanical and Robotic Engineering “Congress on Control, Robotics, and Mechatronics” (CRM 2023), jointly organized by Modi Institute of Technology, Kota, India, and Soft Computing Research Society, India, during 25–26 March 2023. 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.

Zielgruppe

Research

Autoren/Hrsg.

Jha, Pradeep Kumar

Sharma, Harish

Tripathi, Brijesh

Natarajan, Elango

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau

Inhaltsverzeichnis

Image-based weld-joint type classification using bag of visual words.- Speech Recognition based prediction for mental health and depression: a Review.- A Strategic Technique for Optimum Placement and Sizing of Distributed Generator in Power System Networks Employing Genetic Algorithm.- Model-based neural network for predicting strain-rate dependence of tensile ductility of high-performance fiber-reinforced cementitious composite .- Performance Analysis of Various Machine Learning Classifiers on Diverse Datasets.- Three Finger Robotic Gripper for Irregular Shaped Objects.- Prediction of energy absorption capacity of high-performance fiber-reinforced cementitious composite.- Data Analysis on Determining False Movie Ratings.- Power Consumption Saving of Air Conditioning System using Semi-Indirect Evaporative Cooling.- Recrudesce: IoT based Embedded Memories Algorithms and Self Healing Mechanism.- Design and Performance Analysis of InSb/InGaAs/InAlAs High Electron Mobility Transistor for High Frequency Applications.- Ant Lion Optimizer with Deep Transfer Learning Model for Diabetic Retinopathy Grading on Retinal Fundus images.- Finite Element Simulation on Ballistic Impact of bullet on Metal Plate.- Performance Analysis of Bionic Swarm Optimization Techniques for PV Systems under Continuous Fluctuation of Irradiation Conditions.- Study of Voltage controlled oscillator for the applications in K-band and the proposal of a tunable VCO.- Detailed performance study of data balancing techniques for skew dataset classification.- Compact dual-band printed folded dipole for WLAN applications.- PERFORMANCE ANALYSIS OF VARIOUS FEATURE EXTRACTION METHODS FOR CLASSIFICATION OF POX VIRUS IMAGES.- An Elucidative review on the current status and prospects of Eye Tracking in Spectroscopy.- Speech Recognition and it's Application to Robotic Arms.- Machine Learning Robustness in Predictive Maintenance under Adversarial Attacks.- Modelling and Grasping Analysis of an Underactuated Four Fingered Robotic Hand.- Design and Development of 6-Axis Robotic Arm for Industrial Applications.- A Solution to Collinear Problem in Lyapunov Based Control Scheme.- A Detailed Review of Ant Colony Optimization for Improved Edge Detection.- Machine Learning-Based Sentiment Analysis of Twitter Covid-19 Vaccination Responses.- Exploring Sentiment in Tweets: An Ordinal Regression Analysis.- Automated Classification of Alzheimer's Disease Stages using T1 weighted-sMRI Images and Machine Learning.- Employing Tuned VMD-based Long Short-Term Memory Neural Network for Household Power Consumption Forecast.- A 4-element Dual band MIMO Antenna for 5G Smartphone.- Quantization Effects on a Convolutional Layer of a Deep Neural Network.- Quantization Effects on a Convolutional Layer of a Deep Neural Network.- Non-linear fractional order fuzzy PD plus I controller for trajectory optimization of 6-DOF modified Puma 560 robotic arm.- Solving the capacitated Vehicle Routing Problem (CVRP) using Clusteringand Meta heuristic algorithm.- DroneWatch: A Novel Dataset for Violent Action Recognition from Aerial Videos.- Performance Analysis of Different Controller Schemes of Interval Type – 2 Fuzzy Logic in controlling of Mean Arterial Pressure During infusion of sodium nitroprusside in Patients..- Early Detection of Alzheimer’s Disease Using Advanced Machine Learning Techniques – A Comprehensive Review.- Navigation of a Compartmentalized Robot fixed in Globally Rigid Formation.- Motion Planning and Navigation of a Dual-arm Mobile Manipulator in an Obstacle-ridden Workspace.- A Real Time Fall Detection System using Sensor Fusion.- A Vision-based Feature Extraction Techniques for Recognizing Human Gait: A Review.- Right Ventricle Volumetric Measurement Techniques for Cardiac MR Images.- Statistical Evaluation of Classification Models for Various Data repositories.- HIERARCHICAL CLUSTERING BASED SYNTHETIC MINORITY DATA GENERATION FOR HANDLING IMBALANCED DATASET.- Regenerative braking in an EV using Buck Boost Converter and Hill Climb algorithm.- An Enhanced Classification Model for Depression Detection Based on Machine Learning with Feature Selection Technique.- Design and analysis of gray wolf optimization algorithm based optimal tuning of PID structured TCSC controller.- Design of an Adaptive Neural Controller Applied to Pressure Control in Industrial Processes.- A Comparative Analysis of Real-Time Sign Language Recognition Methods for Training Surgical Robots.- Design and development of rough terrain vehicle using rocker-bogie mechanism.- Development of Swarm Robotic System based on AI based Algorithms.- Application of Evolutionary Algorithms for Optimizing Wire and Arc Additive Manufacturing Processes.- Health Care System Based on Body Sensor Network for Patient Emergency Response with Monitoring and Motion Detection.

Über Autor(innen)

Dr. Pradeep Kumar Jha is presently working as Professor at the Department of Mechanical and Industrial Engineering. After receiving bachelor’s and master’s degrees 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 areas of manufacturing engineering, with special emphasis on casting operations, modeling and simulation of continuous casting operations, and metal matrix composites. He has his credit in 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 modeling 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 expertise, he has supervised so far 10 doctoral theses, and nine students are already on roll. He has also supervised about 40 M.Tech. theses and 25 B.Tech. theses. He has dealt with many sponsored research projects from funding agencies like DST, CSIR, SERB (Government of India). Professor Jha has been involved with the teaching of subjects with Manufacturing and Thermal Streams.Dr. Brajesh Tripathi received his Ph.D. 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 half 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. Tripathi received 06 research grants for various sponsored projects from GNIDA, NAL, BRNS, MHRD, and AICTE. He has guided 08 Ph.D.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[1]conditioning, turbulent flows, unconventional energy systems, etc.Elango Natarajan has obtained B.E. and M.E. from University of Madras in 1997 and 1999, respectively. He has received Ph.D. in the areas of Soft Robotics in February 2010. He then completed his post-doctoral research in Universiti Teknologi Malaysia in the areas of soft actuators. He has received Chartered Engineer (CEng.) from Engineering Council, UK, in 2014. He has more than 20+ years of teaching experience. He is currently attached to Department of Mechanical and Mechatronic Engineering,UCSI University, Kuala Lumpur, Malaysia as Associate Professor. He has completed two Malaysian Government-funded projects and two internal funded projects worth of about MYR 594,000. He is currently working on four Malaysian Government-funded projects worth of MYR 457,800 and three internal grant projects worth of MYR 120,000. He has published 90 research articles in SCOPUS/WoS Journals. His current h-index is 17 in SCOPUS. He has edited three conference proceedings and a book. He is now editing a special issue in Materials (MDPI), two books (Elsevier and T&F). He is Reviewer of many top WoS journals, and he has reviewed more than 200 journal articles for refereed journals. He is involved in many professional societies including IEEE, IET, and ASM international. He was Executive Committee Member of IEEE Robotics and Automation Society Malaysia from 2018 to 2020. He is now Secretary of IEEE Robotics and Automation Society Malaysia, from 2021. He is Professional Review Interviewer appointed by Institution of Engineering and Technology, UK.

Harish Sharma is 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. degrees in Computer Engg. from Government 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 members of Soft Computing Research Society of India. He is Lifetime Member of Cryptology Research Society of India, ISI, Kolkata. He is 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.