About the Book
This text describes how the design, analyzing capacity, and optimization criteria of mechatronics systems can be improved using numerical, experimental, and computational approaches, and how it helps in data sensing, fault detection, and diagnosis. It further discusses topics such as intelligent mechatronics systems and their applications in manufacturing, robotics, and automation.
This book:
Discusses the applications of mechatronics systems in manufacturing, automation, robotics, medical, pharmaceuticals, ground, and air transportation sectors
Presents numerical, experimental, and computational approaches for signal sensing, fault detection, and diagnosis
Highlights the importance of using smart technologies such as artificial intelligence, the Internet of Things, digital twins, machine learning, and deep learning for mechatronic systems
Illustrates the concept of controlling mechatronics devices using virtual reality (VR), augmented reality, and mixed reality
Explains the need for the Internet of Things for mechatronics systems and applications in biomedical and pharmaceutical industries
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of mechanical engineering, industrial and manufacturing engineering, electrical engineering, electrical and electronics engineering, automotive engineering, and computer engineering.
Table of Contents:
Chapter 1: Analysis of Impact of Reed Solomon Encoding on AWGN Channel with QPSK and GMSK Modulation. 2. PDAVC: Preventing DDOS Attacks in Virtual Cloud using Machine Learning Algorithms. 3. Transforming Service Sectors with IoT, ML, and Comprehensive Security Solutions. 4. Eco Mechatronics: Integrating Sustainability into Mechatronic Systems. 5. Integration of Electronics Control System for an Advanced Hovercraft. 6. Blockchains and its implications in Wireless Sensor Networks. 7. Advancements in Mechatronic Systems for Manufacturing, Robotics, and Automation: Yaskawa Motoman GP12 Robot Applications. 8. Comparative Feasibility Analysis of PV Plant with Energy Effective measures in Chandigarh University using RET screen. 9. Internet of Things in Livestock Farming: Implementation, Challenges, and Future Trends. 10. An efficient water quality evaluation model using weighted hesitant fuzzy soft sets for water pollution rating. 11. OCR using Traditional and DNN Approach.12. Development of Remote Sensing Microsatellite for Observation of Martian Surface in Space.
About the Author :
Ajay Kumar is currently serving as a Professor in Department of Mechanical Engineering in School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing and automation from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. His areas of research include Biomedical engineering, Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, robotics and automation, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Industrial Engineering Systems, Waste Management, and Optimization Techniques. He has over 100 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has organized various national and international events including an international conference on Mechatronics and Artificial Intelligence (ICMAI-2021) as conference chair. He is currently organising international conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023) as conference chair. He has more than 20 national and international patents to his credit. He has supervised more than 8 M.Tech, Ph.D scholars and numerous undergraduate projects/ thesis. He has a total of 15 years of experience in teaching and research. He is a Guest Editor of many reputed journals. He has contributed to many international conferences/ symposiums as a session chair, expert speaker, and member of the editorial board. He has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. He has also co-authored and co-edited more than 15 books and proceedings including Incremental Sheet Forming Technologies: Principles, Merits, Limitations, and Applications, Advancements in Additive Manufacturing: Artificial Intelligence, Nature Inspired and Bio-manufacturing, Handbook of Sustainable Materials: Modelling, Characterization, and Optimization, Waste Recovery and Management: An Approach Towards Sustainable Development Goals, Smart Manufacturing: Forecasting the future of Industry 4.0, Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Perspectives, Advances in Sustainable Materials: Fundamentals, Modelling and Characterization, Smart Electric and Hybrid Vehicles: Design, Modeling, and Assessment by Industry 4.0 Approaches, Smart Electric and Hybrid Vehicles: Fundamentals, Strategies and Applications, Handbook of Intelligent and Sustainable Manufacturing and is a managing guest editor of Conference Series, Volume 1950, International Conference on Mechatronics and Artificial Intelligence (ICMAI) 2021. He has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. He has organized a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students. He is associated with many research, academic, and professional societies in various capacities.
Parveen Kumar is currently serving as an Assistant Professor and Head in Department of Mechanical Engineering at Rawal Institute of Engineering and Technology, Faridabad, Haryana, India. Currently, he has submitted his Ph.D. from National Institute of Technology, Kurukshetra, Haryana, India. He completed his B.Tech. (Hons.) from Kurukshetra University, Kurukshetra, India and M. Tech. (Distinction) in Manufacturing and Automation from Maharshi Dayanand University, Rohtak, India. His areas of research include Intelligent Manufacturing Systems, Materials; Mechatronics systems, Advanced Materials, Industry 4.0, Die less Forming, Design of Automotive systems, Additive Manufacturing, CAD/CAM and artificial Intelligence, machine learning and Internet of Things in manufacturing, multi objective optimization techniques. He has over 50 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has 8 national and international patents in his credit. He has supervised more than 2 M. Tech. scholars and numerous undergraduate projects/ theses. He has a total of 13 years of experience in teaching and research. He has co-authored/co-edited several books including “Waste Recovery and Management: An Approach Towards Sustainable Development Goals”, “Handbook of Sustainable Materials: Introduction, Modelling, Characterization and Optimization", “Handbook of Smart Manufacturing: Forecasting the future of Industry 4.0”, “Modeling, Characterization, and Processing of Smart Materials”, “Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Approaches”, “3D Printing Technologies: Digital Manufacturing, Artificial Intelligence, Industry 4.0”, “Smart Electric and Hybrid Vehicles: Design, Modeling, and Assessment by Industry 4.0 Approaches”, “Smart Electric and Hybrid Vehicles: Fundamentals, Strategies and Applications” and “Handbook of Intelligent and Sustainable Manufacturing”. He has organized a series of Faculty Development Programmes, workshops, and seminar for researchers and UG level students. He is also the editor of book series on “Industrial and Manufacturing Systems and Technologies: Sustainable and Intelligent Perspectives”.
Sarita Rathee is currently serving as an Assistant Professor in Department of Electrical and Electronics Engineering, School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. She received her M.Tech (Distinction) in the field of Electrical and Electronics Engineering from Maharshi Dayanand University, Rohtak, India after B.Tech. (Hons.) in electrical engineering. Her areas of research include Artificial Intelligence, IOT, cloud computing, Industry 4.0, Waste management, and optimization techniques. She has over 10 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. She has more than 5 national and international patents to her credit. She has supervised more than 4 M. Tech scholars and numerous undergraduate projects/theses. She has a total of 05 years of experience in teaching and research. She has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. She is co-adviser of QCFI, Delhi Chapter student cell at JECRC University and has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. She has attended a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students. She teaches the following courses at the graduate and postgraduate level: instrumentation engineering, IOT, FACTS devices, Power electronics, electric vehicles and so on. She is associated with many research, academic, and professional societies in various capacities.
Brijesh Kumar is Dean (Academics) at Manav Rachna International Institute of Research and Studies, Faridabad. Earlier he was Dean School of Engineering & Technology with Ansal University, Gurgaon since January 2018. Before this he was Dean Academics and Dean School of Engineering Technology, with K.R. Mangalam University, Gurgaon. During his association of more than 14 years with Lingaya's group Faridabad, he worked at various positions including Director, Head (IT), Professor (CSE), Associate Dean, Dean Academics and Dean R&D subsequently. Prior to Lingaya's group, Faridabad, Dr. Kumar worked with ITS, STG and TVI. He has got more than 26 years of experience in academics, Industry and Research. Prof. Kumar completed PhD (2009) in Computer Science in the area of Network Simulation from Kurukshetra University, Kurukshetra. He has done M. Tech. In Computer Sc. (2001) and M. Tech. In Applied Geophysics (1996) from Kurukshetra University. Dr. Brijesh Kumar has guided ten Ph.D. Students and has successfully guided more than two dozen M. Tech. Dissertations. He is fellow member of Institution of Engineers (India) and member of various professional bodies and societies including. CSI, IEEE, ACM, ISTE, CEGR, IAE, IACSIT etc. He has successfully conducted five International Conferences and published more than 60 research papers in various International/National Journals and International/National Conferences proceedings. Recently two of his international patents got the status of granted. He has conducted faculty development programs and conferences, since 2002. Very recently he has concluded DST sponsored 6week long technical entrepreneurship development program in cloud computing and cyber security in association with IBM. His area of interests includes Big Data Analytics, Machine Learning, Free and open-source software, web technologies, computer networks, and simulation. He has delivered more than two dozen talks and keynote addresses in these areas at various regional, national and international platforms.
