Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems

ICCCES 2022
2023
ISBN: 978-981-19-7752-7
Verlag: Springer Nature Singapore

Buch, Englisch, Band 977, 1074 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1975 g

Reihe: Lecture Notes in Electrical Engineering

This book includes high-quality research papers presented at the Fourth International Conference on Communication, Computing and Electronics Systems (ICCCES 2022), held at the PPG Institute of Technology, Coimbatore, India, on September 15–16, 2022. The book focuses mainly on the research trends in cloud computing, mobile computing, artificial intelligence and advanced electronics systems. The topics covered are automation, VLSI, embedded systems, optical communication, RF communication, microwave engineering, artificial intelligence, deep learning, pattern recognition, communication networks, Internet of things, cyber-physical systems and healthcare informatics.

Zielgruppe

Research

Autoren/Hrsg.

Bindhu, V.

Vuppalapati, Chandrasekar

Tavares, João Manuel R. S.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise

Inhaltsverzeichnis

Chapter 1. Study of different control strategies applied to a second order nonlinear tank process.- Chapter 2. A Review of Direction of Arrival Estimation Techniques in massive MIMO 5G Wireless Communication Systems.- Chapter 3. Generation of Counters and Compressors Using Sorting Network.- Chapter 4. Gujarati Language Automatic Speech Recognition using Integrated Feature Extraction and Hybrid Acoustic Model.- Chapter 5. Graphene and Fullerene in Energy Storage Devices: A Comprehensive Review.- Chapter 6. A robust ensemble learning model for fine-grained detection of cyber harassment.- Chapter 7. IoT-based E-Parking System for Multiplexes and Shopping Malls.- Chapter 8. Enhancing S-box Non-linearity in AES for Improved Security Using Key Dependent Dynamic S-Box.- Chapter 9. Estimated Computing for Effective Configurable Adder.- Chapter 10. E-waste is becoming a predominant pollutant in future India - An IoT based proposal to monitor and report the Air Quality Index.- Chapter 11. Continuous Passenger Monitoring and Accident Detection (CPMAD) System.- Chapter 12. Design and Implementation of a Safety Device - Protecta Watch.- Chapter 13. A Survey on Energy Management Evolution & Techniques for Green IoT Environment.- Chapter 14. Ayurvedic Medicinal Plant Identification System using Embedded Image Processing Techniques.- Chapter 15. FIR and IIR filter design using modified Dadda Multiplier. etc.

Über Autor(innen)

Dr.V.Bindhu received the B.E degree in Electronics and Communication Engineering from Bharathair University, Coimbatore, in 2002, M.E. Degree in Applied Electronics from Anna University, Chennai, in 2007 and PhD Degree from Anna University, Chennai, in 2014. She has 11 years of teaching experience and 6 years of research experience. Currently, she is a professor at PPG Institute of Technology, Coimbatore. Her area of interest includes signal processing and VLSI design.

João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001 and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and an associate professor at the Department of Mechanical Engineering (DEMec)of the Faculdade de Engenharia da Universidade do Porto (FEUP).

Dr. Chandrasekar Vuppalapati is a software IT executive with diverse experience in software technologies, enterprise software architectures, cloud computing, big data business analytics, Internet of things (IoT), and software product and program management. Chandra held engineering and product leadership roles at GE Healthcare, Cisco Systems, Samsung, Deloitte, St. Jude Medical, and Lucent Technologies, Bell Laboratories Company. Chandra teaches software engineering, mobile computing, cloud technologies, and web and data mining for Master’s program in San Jose State University. Additionally, Chandra held market research, strategy and technology architecture advisory roles in Cisco Systems, Lam Research, and performed a principal investigator role for Valley School of Nursing where he connected nursing educators and students with virtual reality technologies. Chandra has functioned as a chair in numerous technologyand advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco, USA, and Future of Information and Communication Conference 2018, Singapore. Chandra graduated from San Jose State University Master’s Program, specializing in software engineering, and completed his Master of Business Administration from Santa Clara University, Santa Clara, California, USA.