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Human Centred Intelligent Systems

Proceedings of KES-HCIS 2021 Conference

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Alfred Zimmermann

    1. Reutlingen University, Reutlingen, Germany

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  2. Robert J. Howlett

    1. 'Aurel Vlaicu' University of Arad, Romania, Bournemouth University & KES International Research, Shoreham-by-Sea, UK

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  3. Lakhmi C. Jain

    1. KES International, Shoreham-by-Sea, UK

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  4. Rainer Schmidt

    1. Munich University of Applied Sciences, Munich, Germany

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  • Presents research works in the field of human centred intelligent systems
  • Provides original works presented at HCIS 2021 held virtually
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 244)

Included in the following conference series:

Conference proceedings info: KES-HCIS 2021.

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Table of contents (22 papers)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Human-Centred Intelligent Systems

    1. Front Matter

      Pages 1-1
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    2. Campus-Navigation-System Design for Universities – A Method Approach for Wismar Business School

      • Thomas Paetow, Johannes Wichmann, Matthias Wißotzki
      Pages 3-12

    3. Simple Anti-fraud Document Authentication Concept for Public Services

      • Christian Mahrt, Andreas Speck
      Pages 13-25

    4. Supply Networks Going Digital – Causalities of Value Production in Digitalized Systems

      • Jyri Vilko, Jukka Hallikas
      Pages 26-35

    5. Crisis Year 2020: Analysis of Finnish Manufacturing Companies’ Twitter Activity

      • Oskari Lähdeaho, Olli-Pekka Hilmola
      Pages 36-45

    6. Identifying Counterfeit Medicine in Bangladesh Using Deep Learning

      • Bilkis Jamal Ferdosi, Mashroor Ahmed Sakib, Md. Sirazul Islam, Joy Dhar
      Pages 46-55

    7. Human-Centered Referential Process Models for AI Application

      • Matthes Elstermann, Jakob Bönsch, Andreas Kimmig, Jivka Ovtcharova
      Pages 56-65

    8. Object Design System by Interactive Evolutionary Computation Using GAN with Contour Images

      • Chen Xin, Kaoru Arakawa
      Pages 66-75

    9. Interaction and Dialogue Design of a Humanoid Social Robot in an Analogue Neurorehabilitation Application

      • Alexandru Bundea, Sebastian Bader, Peter Forbrig
      Pages 76-85

    10. Development of a Unified Artificial Immune System for Intelligent Technology of Complex Industrial Automation Objects Control in the Oil and Gas Industry

      • Galina A. Samigulina, Zarina I. Samigulina
      Pages 86-96

  3. Edge Computing Technologies for Mobile Computing and Internet of Things

    1. Front Matter

      Pages 97-97
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    2. A Framework for 5G Ultra-Reliable Low Latency for Industrial and Mission-Critical Machine-Type Communication

      • Abdellah Chehri, Paul Fortier, Rachid Saadane
      Pages 99-109

    3. IoT and Deep Learning Solutions for an Automated Crack Detection for the Inspection of Concrete Bridge Structures

      • Abdellah Chehri, Ali Saeidi
      Pages 110-119

    4. Performance of On-Skin RFID Miniaturized Dual Loop Tag for Body-Centric Applications

      • Ibtissame Bouhassoune, Hasna Chaibi, Rachid Saadane, Abdellah Chehri
      Pages 120-129

    5. Hybrid OSA-CSA Model for an Efficient Dynamic Spectrum Access in Cognitive Radio Environments

      • Saber Mohammed, Abdellah Chehri, El Hafid Yassine, Saadane Rachid, Wahbi Mohammed, Kharraz Aroussi Hatim
      Pages 130-139

  4. Artificial Intelligence in the Corporate Application Chair: Clemens van Dinther, Tim Straub

    1. Front Matter

      Pages 141-141
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    2. Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually

      • Florian Grimm, Daniel Kiefer, Markus Bauer
      Pages 143-151

    3. Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics

      • Daniel Kiefer, Markus Bauer, Florian Grimm
      Pages 152-162

    4. Sales Forecasting Under Economic Crisis: A Case Study of the Impact of the COVID19 Crisis to the Predictability of Sales of a Medium-Sized Enterprise

      • Markus Bauer, Daniel Kiefer, Florian Grimm
      Pages 163-172
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  1. Human Centred Intelligent Systems

Keywords

About this book

This book highlights new trends and challenges in intelligent systems, which play an essential part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital business and intelligent systems based on human practices, as well as the study of interaction and co-adaptation of humans and systems. All papers were originally presented at the International KES Conference on Human Centred Intelligent Systems 2021 (KES HCIS 2021) held on June 14–16, 2021 in the KES Virtual Conference Centre.

Editors and Affiliations

  • Reutlingen University, Reutlingen, Germany

    Alfred Zimmermann

  • 'Aurel Vlaicu' University of Arad, Romania, Bournemouth University & KES International Research, Shoreham-by-Sea, UK

    Robert J. Howlett

  • KES International, Shoreham-by-Sea, UK

    Lakhmi C. Jain

  • Munich University of Applied Sciences, Munich, Germany

    Rainer Schmidt

About the editors

Alfred Zimmermann is Professor at Reutlingen University, Germany. He is Director of Research and Speaker of the Doctoral Program for Services Computing at the Herman Hollerith Center, Boeblingen, Germany. His research is focused on digital transformation and digital enterprise architecture with decision analytics in close relationship with digital strategy and governance, software architecture and engineering, artificial intelligence, data analytics, Internet of Things, services computing, and cloud computing. He graduated in Medical Informatics at the University of Heidelberg, Germany, and obtained his Ph.D. in Informatics from the University of Stuttgart, Germany. Besides his academic experience, he has a strong practical background as Technology Manager and Leading Consultant at Daimler AG, Germany. He keeps academic relations of his home university to the German Computer Science Society (GI), the Association for Computing Machinery (ACM) and the IEEE, where he is part of specific research groups, programs, and initiatives. He serves in different editorial boards and program committees and publishes results from his research at conferences, workshops, as well as in books and journals. Additionally, he supports industrial cooperation research projects and public research programs.
 
Robert J. Howlett is Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including intelligent systems, sustainability, and knowledge transfer. He is Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning, and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; and automotive electronics and engine management systems. His current research work is focussed on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.
 
Dr. Lakhmi C. Jain received his Ph.D., M.E., B.E.(Hons) from the University of Technology Sydney, Australia, and Liverpool Hope University, UK, and is Fellow of Engineers Australia. Professor Jain serves the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation, and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.
 
Rainer Schmidt is Professor of Business Information Systems at Munich University of Applied Sciences. Heholds a Ph.D. (KIT Karlsruhe) and an engineering degree in Computer Science. His current research areas include artificial intelligence, social information systems, business process management, and the integration of these themes. Dr. Schmidt has successfully directed several successful projects in the field of artificial intelligence. They include the detection of exceptional situations and their management in data centers, the automatic configuration of services according to objectives such as reliability and energy efficiency, and the structural analysis and optimization of IT systems. Rainer Schmidt is co-organizer of the BPMDS working conference at CAISE, the BPMS2 workshop series at BPM'08 to BPM’19, the SoEA4EE workshop series at EDOC since 2009, the IDEA workshop series at BIS, associate editor at WI 2017, and a member of the program committee of several workshops and conferences. Rainer Schmidt is serving on the editorial boards of International Journal of Information Systemsin the Service Sector, and International Journal on Advances in Internet Technology. He has industrial experience as a management consultant and researcher. In 2018 he was awarded the Oskar von Miller Prize as the best researcher at Munich University of Applied Sciences. Rainer Schmidt applies his research in a number of projects and cooperation with industry.

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