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Victor Chang (editor) - Modern Industrial IoT, Big Data and Supply Chain: Proceedings of the IIoTBDSC 2020 (Smart Innovation, Systems and Technologies, 218)

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Victor Chang (editor) Modern Industrial IoT, Big Data and Supply Chain: Proceedings of the IIoTBDSC 2020 (Smart Innovation, Systems and Technologies, 218)

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This book is a collection of selected papers presented at the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), held as an online conference due to COVID-19 (initially to be held in Macao, Special Administration Region (SAR) of China), during September 1517, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It brings multi-disciplines together on IIoT, data science, cloud computing, software engineering approaches to design, development, testing and quality of products and services.

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Book cover of Modern Industrial IoT Big Data and Supply Chain Volume 218 - photo 1
Book cover of Modern Industrial IoT, Big Data and Supply Chain
Volume 218
Smart Innovation, Systems and Technologies
Series Editors
Robert J. Howlett
Bournemouth University and KES International, Shoreham-by-Sea, UK
Lakhmi C. Jain
KES International, Shoreham-by-Sea, UK

The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought.

The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions.

High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.

Indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, Japanese Science and Technology Agency (JST), SCImago, DBLP.

All books published in the series are submitted for consideration in Web of Science.

More information about this series at http://www.springer.com/series/8767

Editors
Victor Chang , Muthu Ramachandran and Vctor Mndez Muoz
Modern Industrial IoT, Big Data and Supply Chain
Proceedings of the IIoTBDSC 2020
1st ed. 2021
Logo of the publisher Editors Victor Chang Artificial Intelligence and - photo 2
Logo of the publisher
Editors
Victor Chang
Artificial Intelligence and Information Systems Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, UK
Muthu Ramachandran
School of Built Environment, Engineering, and Computing Software Engineering Technologies, and Emerging Practices (SETEP), Leeds Beckett University, Leeds, UK
Vctor Mndez Muoz
Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
ISSN 2190-3018 e-ISSN 2190-3026
Smart Innovation, Systems and Technologies
ISBN 978-981-33-6140-9 e-ISBN 978-981-33-6141-6
https://doi.org/10.1007/978-981-33-6141-6
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd.

The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore

Preface

We are pleased to publish this proceedings of the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC). The novelty in the scope is attracting contributions to some crucial aspects of our interconnected world. People and devices are defining high-tech services with open problems to face in reliability, efficiency, speed and accuracy.

We have received 120 submissions. After a peer-review process and paper improvement, 46 final papers were selected.

The conference proceeding scope is to demonstrate that todays challenges can be faced with crossover knowledge fields. Industrial Internet of Things (IIoT) allows the network of IoT devices to communicate, analyze data and process information collaboratively. Big Data (BD) infrastructure problem domains require to deal with the 5Vs: volume, velocity, variety and veracity. Supply chain requires modern advancement and support from IIoT and big data to make all services efficient, fast, accurate and reliable. These three can combine and work together to produce more significant impacts and contributions as follows.

The maturity of IoT technologies can grow and become part of our everyday lives. BD 5Vs is a must to provide affordable BD analytics using machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it. Suppliers can know the updates on their stocks and demands. Manufacturers and transport companies know the workloads, destination and resource distributions. Owners and customers are also stakeholders receiving benefits from these approaches. At the end of the day, the supply chain can reach a greater sustainable ecosystem with the help of IIoT and big data.

We are grateful for the opportunities to serve the community. We will organize IIoTBDSC 2021 again and will publicize it in due course.

We wish you a happy reading of our selected papers.

Yours sincerely,

Prof. Victor Chang
Dr. Muthu Ramachandran
Prof. Vctor Mndez Muoz
Middlesbrough, UK Leeds, UK Barcelona, Spain
November 2020
Contents
Part I Area 1: Industrial Internet of Things (IIOT) Fundamentals and Applications
Zakaria Benzadri , Takieddine Bouheroum , Youcef Ouassim Cheloufi , Mohamed Nadir Hassani and Faiza Belala
Feifei Niu , Chuanyi Li and Bin Luo
Jiangnan Gong , Hong Yu and Cheng Huang
Xin Wang , Luxi Huang , Shuanglin Li , Fan Zhao , Ping Feng and Xiaohui Li
Victor Chang , Rui Ying and Qianwen Ariel Xu
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