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Real-Time Data Analytics for Large Scale Sensor Data - 1st Edition - ISBN: 9780128180143, 9780128182420

Real-Time Data Analytics for Large Scale Sensor Data

1st Edition

5.0 star rating 1 Review
Editors: Himansu Das Nilanjan Dey Valentina Emilia Balas
Paperback ISBN: 9780128180143
eBook ISBN: 9780128182420
Imprint: Academic Press
Published Date: 3rd September 2019
Page Count: 298
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Table of Contents

1. Internet of Things in healthcare: Smart devices, sensors, and systems related to diseases and health conditions
2. Real-time data analytics in healthcare using the Internet of Things
3. Lightweight code self-verification using return-oriented programming in resilient IoT
4. Monte-Carlo Simulation models for reliability analysis of low-cost IoT communication networks in smart grid
5. Lightweight ciphertext-policy attribute-based encryption scheme for data privacy and security in cloud-assisted IoT
6. Soft sensor with shape descriptors for flame quality prediction based on LSTM regression
7. Communication-aware edge-centric knowledge dissemination in edge computing environments
8. An effective blockchain-based, decentralized application for smart building system management
9. Privacy and security of Internet of Things devices
10. Software-Defined Networking for the Internet of Things: Securing home networks using SDN


Description

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more.

Key Features

  • Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data
  • Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling
  • Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments

Readership

Biomedical engineers, researchers in data analytics, Big Data, health care management and intelligent systems


Details

No. of pages:
298
Language:
English
Copyright:
© Academic Press 2020
Published:
3rd September 2019
Imprint:
Academic Press
Paperback ISBN:
9780128180143
eBook ISBN:
9780128182420

Ratings and Reviews


About the Editors

Himansu Das

Himansu Das is working as an as Assistant Professor in the School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India. He has received his B. Tech and M. Tech degree from Biju Pattnaik University of Technology (BPUT), Odisha, India. He has published several research papers in various international journals and conferences. He has also edited several books of international repute. He is associated with different international bodies as Editorial/Reviewer board member of various journals and conferences. He is a proficient in the field of Computer Science Engineering and served as an organizing chair, publicity chair and act as member of program committees of many national and international conferences. He is also associated with various educational and research societies like IACSIT, ISTE, UACEE, CSI, IET, IAENG, ISCA etc., His research interest includes Grid Computing, Cloud Computing, and Machine Learning. He has also 10 years of teaching and research experience in different engineering colleges.

Affiliations and Expertise

Assistant Professor, Kalinga Institute of Industrial Technology University, Bhubaneswar, Odisha, India

Nilanjan Dey

Dr. Nilanjan Dey is an Asst. Professor in the Department of Information Technology in Techno India College of Technology, Rajarhat, Kolkata, India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization OfSgientifig and Engineering Unions, Bulgaria, Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US, International Journal of Rough Sets and Data Analysis (IGI Global), US, and the International Journal of Synthetic Emotions (IJSE), IGI Global, US. He is Series Editor of Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, Regional Editor-Asia of International Journal of Intelligent Engineering Informatics (IJIEI), Interscience and Associated Editor of International Journal of Service Science, Management, Engineering, and Technology, IGI Global. His research interests include Medical Imaging, Soft computing, Data mining, Machine learning, Rough set, Mathematical Modeling and Computer Simulation, Modeling of Biomedical Systems, Robotics and Systems, Information Hiding, Security, Computer Aided Diagnosis, and Atherosclerosis. He has published a dozen books and more than 200 international conferences and journal papers. He is a life member of IE, UACEE, and ISOC.

Affiliations and Expertise

Assistant Professor, Department of Information Technology, Techno India College of Technology, Rajarhat, Kolkata, India

Valentina Emilia Balas

Valentina E. Balas holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 250 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in-Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), Editorial Board member of several national and international journals and is evaluator expert for national and international projects. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and was Vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India.

Affiliations and Expertise

Professor, Aurel Vlaicu University of Arad, Romania