Computer Science & Information Management

System Design Using Internet of Things with Deep Learning Applications
Editors: Arpan Deyasi, PhD
Angsuman Sarkar, PhD
Soumen Santra, MTech

System Design Using Internet of Things with Deep Learning Applications

Published. Available now.
Pub Date: October 2023
Hardback Price: see ordering info
Hard ISBN: 9781774912584
E-Book ISBN: 9781003376651
Pages: 282pp w/ index
Binding Type: Hardback/ e-book
Notes: 99 b/w illustrations

This new volume aims to find real-world solutions to present-day problems by using IoT and related technologies. The volume explores the diverse applications of the Internet of Things in diverse areas—in healthcare, the construction industry, in wildlife monitoring, in home security systems, in agriculture, in cryptology, in hospitality employment, in data security, and more.

The chapters illustrate the aspects of defining the architecture, product design, modules, interfaces, and data for a system to satisfy specified requirements of the IoT applications discussed. The chapters show the novel results that can safely be applied in their respective domains. In this context, the editors expect that the present solutions can meet the ever-increasing demand of industries.

With chapters from both academics and industry professionals involved in IoT/AI solutions, System Design Using Internet of Things with Deep Learning Applications will be a valuable resource for students in this area as well as for those working in novel architecture design and system implementation.

CONTENTS:
Preface

1. Applications of the Internet of Things and Big Data in Automated Healthcare
Benila S. and Usha Bhanu N.

2. IoT in the Construction Industry
Jenifar Begam and Sweta Sarkar

3. Object Detection from Video Sequence and Its Analysis for Application in Wildlife
Shruti Shovan Das and Soumyajit Pal

4. Design of a Flow Detection Sensor for Single-Phase Flow through Porous Media
Talha Khan and Anustup Chatterjee

5. Deep Neural Network-Based Brain Tumor Segmentation
Sayan Chatterjee, Moitri Chakraborty, Akash Maity, and Mainak Biswas

6. Voice-Command-Based Real-Time Automated Home Security System with Google Assistance Technology
Soumen Santra, Partha Mukherjee, Arpan Deyasi, and Angsuman Sarkar

7. Applications of IoT and UAV in Smart Agriculture
Caprio Mistry and Arighna Basak

8. A Study on Data Security in Cloud Computing: Traditional Cryptography to the Quantum Age Cryptography
Srinidhi Kulkarni, Rishabh Kumar Tripathi, and Meera Joshi

9. Role of Hospitality Institutions in Development of Employability Expertise: Students’ Perception Based on Data Analysis
Santanu Dasgupta

10. Application of IoT and Big Data in Automated Healthcare
Krishnaraju A., Sreenivasan K., Marisami P., Prakash B., and Srinivasan S.

11. Forecast the Impact of COVID-19: Data Analysis
Shalini Adhya, Sanghita Kundu, and Mainak Biswas

12. Comparative Analysis of SVM and KNN in Breast Cancer Classification
Soumyajit Pal

Index


About the Authors / Editors:
Editors: Arpan Deyasi, PhD
Assistant Professor, Department of Electronic and Communication Engineering, RCC Institute of Information Technology, West Bengal, India

Arpan Deyasi, PhD, is presently working as an Assistant Professor in the Department of Electronics and Communication Engineering at RCC Institute of Information Technology, Kolkata, India. He has 15 years of professional experience in academics and industry. His work spans the field of semiconductor nanostructure and semiconductor photonics. He has published more than 150 peer-reviewed research papers. He has edited/co-edited six books published by publishers of repute. He is associated with different international and national conferences in various aspects and was general chair at FRCCD 2015 and ICCSE 2016. He is a reviewer of a few journals of repute as well as several prestigious conferences in India and abroad. He is a senior member of IEEE, secretary of the IEEE Electron Device Society (Kolkata Chapter), and member of IE(I), Optical Society of India, IETE, ISTE, etc. He is working as the single point of contact of several online certification courses and activities in his institute (NPTEL, IIRS, Coursera, EDx, e-outreach, Internshala). He is working as a faculty adviser of the student chapter of the Institution of Engineers (India) in the ECE Department at RCCIIT.

Angsuman Sarkar, PhD
Professor, Department of Electronic and Communication Engineering, Kalyani Government Engineering College, West Bengal, India

Angsuman Sarkar, PhD, is presently serving as a Professor of Electronics and Communication Engineering at Kalyani Government Engineering College, West Bengal, India. He had earlier served at Jalpaiguri Government Engineering College and Kalyani Government Engineering College as Lecturer, Assistant Professor, and Associate Professor of the ECE Department for more than 20 years. His current research interest include study of short channel effects of sub-100 nm MOSFETs and nanodevice modeling. He is a senior member of IEEE, a life member of the Indian Society for Technical Education (ISTE), an associate life member of the Institution of Engineers (IE) India, and currently serving as the Chairman of IEEE Electron Device Society, Kolkata Chapter. He has authored five books, many book chapters, 70 journal papers in international refereed journals, and 57 research papers in national and international conferences. He is a member of the boards of editors of various journals. He is a reviewer of various international journals. He is currently supervising six PhD scholars and has already guided five students successfully as principal supervisor. He has delivered invited talks, tutorial speeches, and expert talks at various international conferences/technical programs. He has organized IEEE international conferences and several workshops/seminars. He received an MTech degree in VLSI and Microelectronics from Jadavpur University. He completed his PhD at Jadavpur University in 2013.

Soumen Santra, MTech
Department of Master of Computer Application, Techno International New Town, Kolkata, West Bengal, India

Soumen Santra, PhD, is presently working as an Assistant Professor in the Department of Master of Computer Application, Techno International New Town, Kolkata, India. He has 11 years of professional experience in academics and industry. His work is in the field of machine learning, the Internet of Things (IoT), and medical image analysis. He has published more than 50 peer-reviewed research papers, including in journals, book chapters, and conferences. He is associated with different international and national webinars in various aspects. He is a reviewer of a few journals. He has achieved the best mentor of NPTEL online certification at his institute. He is working as a mentor and consultant for several industry-based projects and is also a faculty adviser of the Entrepreneurship Cell and Coding Trainer for the Placement Cell of the CA Department of Techno International New Town.




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