Emerging Trends in Electrical, Communications, and Information Technologies

Proceedings of ICECIT-2018
1. Auflage 2020
ISBN: 978-981-13-8941-2
Verlag: Springer Nature Singapore

Buch, Englisch, Band 569, 794 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1514 g

Reihe: Lecture Notes in Electrical Engineering

This book includes original, peer-reviewed research from the 3rd International Conference on Emerging Trends in Electrical, Communication and Information Technologies (ICECIT 2018), held at Srinivasa Ramanujan Institute of Technology, Ananthapuramu, Andhra Pradesh, India in December 2018. It covers the latest research trends and developments in the areas of Electrical Engineering, Electronic and Communication Engineering, and Computer Science and Information.

Zielgruppe

Research

Autoren/Hrsg.

Hitendra Sarma, T.

Shaik, Rafi Ahamed

Sankar, V.

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Energietechnik | Elektrotechnik Energietechnik & Elektrotechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Nanotechnologie

Inhaltsverzeichnis

Patient Nurse Communication with Vital sign monitoring and alert.- Proposed Method for Segmenting Skin Lesions Images.- Extending a flexible searching tool for multiple database Formats.- Surpassing traditional Image-Colorization problems with Conditional Generative Adversarial Networks.- Memristor- The New Computing Element for Data-centric Real-time Image Processing.- Data analysis and Prediction of survey on Effect of Smart Phones on Society.- An Efficient Constraint-Based Local Search for Maximizing Water Retention on Magic Squares.- Predicting the Degree of Emotional Support in an Online Health Forum for HIV using Data Mining Techniques.- PLEACH-U: An energy efficient uniformly distributed cluster heads routing protocol.

Über Autor(innen)

Dr. T. Hitendra Sarma received his Ph.D. from the Faculty of Computer Science and Engineering at Jawaharlal Nehru Technological University Anantapur, India. He has more than 13 years of teaching and research experience and is currently the Principal at Srinivasa Ramanujan Institute of Technology, Anantapur, Andhra Pradesh, India. He has published more than 25 papers in various peer-reviewed International Journals and Conference Proceedings. He has been a reviewer for Pattern Recognition, Pattern Recognition Letters and Journal of Machine Learning and Cybernetics. He rendered services as Secretary for IEEE CIS/GRSS Society Chapter (2016–2018) and currently serving as Chair IEEE IEEE CIS/GRSS Society Chapter, Hyderabad Section, Region 10 from Jan 2019. He is a member of IEEE, ACM, IE(I) and CSI. His areas of research include Pattern Recognition, Data Mining and Image Processing. Dr. V. Sankar, Professor in EEE, has 34 years of experience in teaching and 28 years in research. He obtained his Ph.D. in Power Systems from IIT Delhi. He is a senior member of IEEE and a referee for “IEEE Transactions on Reliability”. He has served as Head (Department of EEE), Vice-Principal and Principal of JNTUACE, Anantapur; Director of Academic & Planning, JNTUA; Registrar, JNTUA. He is currently the Chair IEEE Ananthapuramu Sub-Section. Dr. Shaik Rafi Ahamed received his B.Tech. and M.Tech. from Sri Venkateswara University, Tirupathi in 1991 and 1993 respectively. He received his Ph.D. from IIT Kharagpur, and then joined IIT Guwahati. Presently he is working as an Associate Professor at the Department of Electronics and Electrical Engineering at IIT Guwahati, India. He has published more than 60 research articles in various respected peer-reviewed journals and conferences. His research areas include Adaptive Signal Processing, VLSI Signal Processing, Biomedical Signal Processing and Mobile Communications.