This book presents selected peer-reviewed papers from the International Conference on Mechanical and Energy Technologies, which was held on October 28-29, 2021, at Galgotias College of Engineering and Technology, Greater Noida, India. The book reports on the latest developments in the field of mechanical and energy technology in contributions prepared by experts from academia and industry. The broad range of topics covered includes aerodynamics and fluid mechanics, artificial intelligence, nonmaterial and nonmanufacturing technologies, rapid manufacturing technologies and prototyping, remanufacturing, renewable energies technologies, metrology and computer-aided inspection, etc. Accordingly, the book offers a valuable resource for researchers in various fields, especially mechanical and industrial engineering, and energy technologies.

Autorentext

Sanjay Yadav is Senior Principal Scientist & Head of the Pressure, Vacuum and Ultrasonic Metrology Section and Prof. Academy of Scientific and Innovative Research (AcSIR), National Physical Laboratory, New Delhi, India. He received his Ph.D. in Physics from Meerut University in 1990. He has published more than 280 papers in international journals and conference proceedings and is Editor-in-Chief of the journal "MAPAN/Journal of Metrology Society of India," published by Springer. Dr. Abid Haleem is Professor of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India. Presently, he is Regional Editor, Global Journal of Flexible Systems Management, Springer, and Associate Editor with JCOT (Elsevier) and i-Scholar. He has conferred with the fellowship of AGBA and has professional & life membership of IIIE, ISME, ISTE, GIFT, SCL, IICC, and ISC. With h-index of 39 in Google Scholar (26 in SCOPUS) and more than 6100 citations, he has published more than 400 research articles of which more than 185 articles indexed in SCOPUS and three books to his credit. His latest book is ''Handbook of Materials Management," published by Prentice Hall of India, while the latest edited book is "An update on Medical 3D Printing" from Solubris. He has more than 33 years of teaching and research experience at graduate & higher level and has produced more than 28 Ph.D. Pawan Kumar Arora is Professor at the Mechanical Engineering Department of Galgotias College of Engineering and Technology, Greater Noida, India. He received his Ph.D. in Mechanical Engineering from Jamia Millia Islamia, New Delhi, in 2014. With 20 years of academic experience, his main research areas are industrial engineering and optimization. Dr. Arora has published more than 35 papers in international journals and conference proceedings. Harish Kumar is currently working as Assistant Professor at the National Institute of Technology, Delhi. With more than 17 years of research and academic experience, he is Active Researcher in the area of mechanical measurement and metrology. He served as Scientist at the National Physical Laboratory, India, for more than a decade, and as Guest Researcher at the National Institute of Standards and Technology, USA, in 2016. He has authored more than 90 publications in peer-reviewed journals and conference proceedings. He is Active Reviewer for many prominent journals on measurement, metrology, and related areas and is Associate Editor of the MAPAN/Journal of Metrology Society of India, published by Springer.

Inhalt

Redesign and Analysis of Cargo Containers for Delivery Drone Applications.- The Opportunities and Challenges of Implementing Green Internet of Things (IOT) Towards Energy Saving Practices in the Current Environment.- Monitoring of Infrastructure and Development for Smart Cities Supported by IOT Method.- A Review on Various Aerodynamics Control Techniques.- Air Pollution Index Prediction: A Machine Learning Approach.- A Comparative Study of Different IOT Sensors.- Evaluating the Performance of Deep Learning Methods and Its Impact on Digital Marketing.- Effectiveness of Machine Learning Technology in Detecting Patterns of Certain Diseases Within Patient Electronic Healthcare Records.- Sparse Function Learning for Alzheimer's Disease Detection Dependent on Magnetic Characteristics Imaging with Mark Information.- A Study on the Relationship between Cloud Computing and Data Mining in Business Organizations.