Buch, Englisch, Band 957, 523 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 820 g
Select Proceedings of CISCON 2021
Buch, Englisch, Band 957, 523 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 820 g
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-19-6915-7
Verlag: Springer Nature Singapore
This book comprises the proceedings of the select peer-reviewed papers presented during the 18th Control Instrumentation System Conference (CISCON 2021). This book highlights the latest trends in instrumentation, sensors and systems, industrial automation and control, image and signal processing, robotics, renewable energy, power systems, and power drives. The research works covered in the book are of high quality and contributed by experts in academia and industry to provide meaningful direction for prolific growth. The book also features a few chapters contributed by the leading policymakers, technologists, farmers, and doctors who help outline the roadmap from the need for technology to policy-making to effect and implement technological advancements for the nation-building process. The book will serve as a valuable reference resource for academics and researchers across the globe.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
Weitere Infos & Material
Muffler Transmission Loss Optimization For A Vehicle Using Generic Algorithm.- Design and Simulation of a Wireless Charging System for Electric Vehicle.- Recent Advances In Sensor Technology For Biomedical Applications: A Review.- Performance Analysis of Diode Clamped and Flying Capacitor Multilevel Matrix Converters for DFIG Based Wind Energy Conversion System.- Real Time Feedback System for Speech Dysfluency in Children.- Nonlinear Model Predictive Control Using First-Principles Models.