Smart Systems and IoT: Innovations in Computing

Proceeding of SSIC 2019
1. Auflage 2020
ISBN: 978-981-13-8408-0
Verlag: Springer Nature Singapore

Buch, Englisch, Band 141, 875 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1329 g

Reihe: Smart Innovation, Systems and Technologies

The book features original papers from the 2nd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2019), presenting scientific work related to smart solution concepts. It discusses computational collective intelligence, which includes interactions between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It also describes how to successfully approach various government organizations for funding for business and the humanitarian technology development projects. Thanks to the high-quality content and the broad range of the topics covered, the book appeals to researchers pursuing advanced studies.

Zielgruppe

Research

Autoren/Hrsg.

Somani, Arun K.

Shekhawat, Rajveer Singh

Verma, Vivek Kumar

Mundra, Ankit

Srivastava, Sumit

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Real Time Object Detection and Tracking using Velocity Control.- A Framework for e-Governance Using Federation of Cloud.- Vulgarity Classification in Comments Using SVM and LSTM.- Statistical Image Processing for Enhanced Scientific Analysis.- Digital Solution to Combat Training.- Comparison based Study of Page Rank Algorithm Using Web Structure Mining and Web Content Mining.- A Broadband Microstrip Patch Antenna for C-Band Wireless Applications.- Potato Crop Disease Classification Using Convolutional Neural Network.- Void Avoidance Node Deployment Strategy for Underwater Sensor Networks.- Recommendation System for Students Course Selection.- Intelligent Voice Bots for Digital Banking.- Interactive Electricity Consumption System.- A Review on View Invariant Human Gesture Encroachments.

Über Autor(innen)

Arun K. Somani is currently Anson Marston Distinguished Professor and Jerry R. Junkins Endowed Chair Professor of Electrical and Computer Engineering at Iowa State University. His research interests include fault-tolerant computing, computer interconnection networks, WDM-based optical networking, and reconfigurable and parallel computer system architecture. He architected, designed, and implemented the 46-node multi-computer cluster-based system, Proteus. He has served as an IEEE distinguished visitor, IEEE distinguished tutorial speaker, and has delivered several keynotes. He was elected as a Fellow of IEEE for his contributions to the “theory and applications of computer networks.” He was made a Distinguished Scientist member of ACM in 2006.

Rajveer Singh Shekhawat is Professor & Director of the School of Computing & IT,  Manipal University Jaipur. He completed his M.Sc., B. Tech. M.S. and Ph.D. at BITS, Pilani. He holds 4 patents: Software for PC EK22 3D co-ordinate capturing system (1996); Software Package for Digital Mapping Applications (1996); NF 205/96: An Electronic Device Useful for Measuring Three Dimensional Model and Ground Co-ordinates from Stereo-Photogrammetric Instruments, CSIR, 1996; and NF/92/90: An Electronic Device for High Speed Peer to Peer Data Communication, CSIR, 1988.

Ankit Mundra is an Assistant Professor at the School of Computer Science and IT, Manipal University Jaipur. He is currently pursuing a PhD in the area of Internet of Vehicles at Malaviya National Institute of Technology, Jaipur. His research interests include IoV, online fraud detection, and cyber-physical systems. He has published over 30 research articles in peer-reviewed international journals, book series, and conference proceedings.

Sumit Srivastava is a Professor of Information Technology with expertise in the domain of data analytics and image processing. He is also a senior member of IEEE. He has published more than 100 research papers in peer-reviewed international journals, book series and conference proceedings.

Vivek Kumar Verma is an Assistant Professor at the School of Computing & Information Technology, Manipal University Jaipur. His areas of expertise include image processing, and natural language processing. He has published several articles in peer-reviewed international journals, book series and conference proceedings.