Computer Science & Information Management

Research Notes on Computing and Communication Sciences

Intelligent IoT Systems for Big Data Analysis
Concepts, Applications, Challenges, and Future Scope

Editors: Dr. Subhendu Kumar Pani
Dr. Abhay Kumar Samal
Dr. Puneet Mishra
Dr.Ruchi Doshi
Dr. Tzung-Pei Hong

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Intelligent IoT Systems for Big Data Analysis

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Intelligent internet of things (IoT) systems for big data analytics can be regarded as an emerging field in computer science, medicine, biological application, natural environmental engineering, and pattern recognition. The use of various techniques of intelligent IOT systems for big data analytics are nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low cost and the very high performance of various tools. Rapid advances in rising and executing such wearable sensors, actuators, Internet of Things (IoT), and intelligent algorithms have established the growing significance, potential utility, and the unique advantages that can be bought to intelligent healthcare and finance, the telecom industry, and the food industry. The internet of things (IoT) focus on the common idea of things that are recognizable, readable, locatable, controllable, and addressable via the Internet. It covers devices, sensors, people, data, and machines. The future of IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the internet of things (IoT) concept, the need for using AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution. However, recent advancements in representation of intelligent IOT systems generate a more intelligent and robust system that provides a human-interpretable, low-cost approximate solution. Intelligent IOT systems have demonstrated great performance in a variety of areas including multimedia retrieval, fault tolerance, system modeling, network architecture, web semantics, big data analytics, time series, biomedical and health informatics etc.

Scope:

  • Overview of basic concepts and technologies of IoT for big data analytics

  • Big data and data management for IoT computing

  • Machine learning and artificial intelligence in intelligent IoT systems

  • Security and privacy studies and social behavior of human beings over IoT

  • Wearable sensors, bio-sensor networks for IoT-based systems

  • Advanced security technology for IoT computing

  • Issues related to sensors, business models, principles, paradigms, green IoT, and solutions to handle relevant challenges

  • IoT-based intelligent services

  • Practical ideas of using IoT, how it deals with human dynamics, the ecosystem, the social objects and their relation.

  • Optimization and scheduling for IoT computing

  • Scheduling algorithms for distributed systems

  • Service provisioning and resource management for IoT computing


  • Process mining and analysis for IoT computing

  • Applications of intelligent IoT computing


Important Dates:

Abstract Submission Deadline: December 15, 2019
Initial Author Notification: December 30, 2019
Full Chapter Submission Deadline: January 30, 2020
Author Notification: February 15, 2020
Final Manuscript Submission: March 15, 2020

To submit proposals for consideration, please contact:

Dr. Subhendu Kumar Pani
Orissa Engineering College
BPUT, Odisha, 752050, India
Email: skpani.india@gmail.com
Pani.subhendu@gmail.com


About the Authors / Editors:
Editors: Dr. Subhendu Kumar Pani
Orissa Engineering College BPUT, Odisha, 752050, India Email: skpani.india@gmail.com

Dr. Abhay Kumar Samal
Trident Academy of Technology Email: kabhaya1@gmail.com

Dr. Puneet Mishra
University of Lucknow Email: puneet.misra@gmail.com

Dr.Ruchi Doshi
BlueCrest University College Liberia, West Africa Email: doshiruchi18@gmail.com

Dr. Tzung-Pei Hong
National University of Kaohsiung, Taiwan Email: tphong@nuk.edu.tw




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