Human Centred Intelligent Systems

Name: Human Centred Intelligent Systems | Proceedings of KES-HCIS 2021 Conference
Brand: Springer
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Proceedings of KES-HCIS 2021 Conference

Alfred Zimmermann Robert J. Howlett Lakhmi C. Jain Rainer Schmidt(Editor)

Springer (Publisher)

1st Edition

Published on 28. May 2021

XVI, 244 pages

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978-981-16-3264-8 (ISBN)

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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.

Content

Intro
Preface
Organization
Honorary Chairs
General Chairs
Executive Chair
Program Chairs
International Program Committee
Contents
About the Editors
Human-Centred Intelligent Systems
Campus-Navigation-System Design for Universities - A Method Approach for Wismar Business School
1 Introduction
2 Literature Review
3 Method
3.1 Digital Innovation and Transformation Process - An Overview
3.2 Digital Innovation and Transformation Process - Design Business
4 Mobile Indoor Navigation - A Prototype for Universities
5 Discussion
6 Summary and Outlook
References
Simple Anti-fraud Document Authentication Concept for Public Services
1 Introduction
2 Distributed Ledger Technology/Blockchain Features
2.1 Global Blockchain Technology
2.2 Blockchain Structure
2.3 Blockchain Types
3 Related Work
4 Framework Concept
4.1 Concept Overview
4.2 Entities
4.3 Keycloak Service and Related Logging Chain
4.4 Entity Flexibility and Interchangeability
4.5 Features and General Conditions of the User Software
4.6 Document Data Storage (Blockchain)
4.7 Authentication Service and Logging Storage (Blockchain)
5 Advantages of Using Blockchain/Distributed Ledger Technology in Named Concept
5.1 Security Interests for Document Authentication
6 Limitations
7 Conclusion
References
Supply Networks Going Digital - Causalities of Value Production in Digitalized Systems
1 Introduction
2 Digitalization in Supply Networks
2.1 Supply Chain Digitalization and Value Creation
3 Empirical Study
3.1 Survey Instrument Validity
3.2 PLS Path Model
4 Discussion and Conclusions
Appendix A. Items in the Survey Instrument
References
Crisis Year 2020: Analysis of Finnish Manufacturing Companies' Twitter Activity
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Discussion and Conclusions
References
Identifying Counterfeit Medicine in Bangladesh Using Deep Learning
1 Introduction
2 Related Works
3 Dataset
3.1 Brand Recognition: Dataset 1
3.2 Detecting Fake Logos: Dataset 2
4 Proposed Model
5 Result and Discussion
5.1 Brand Recognition
5.2 Fake Logo Detection
6 Conclusion and Future Work
References
Human-Centered Referential Process Models for AI Application
1 Introduction
2 Related Work
2.1 AI Foundations
2.2 Subject-Orientation
2.3 PASS
3 CRISP-DM Model
4 Training and Usage of Neural Networks
5 Conclusion and Outlook
References
Object Design System by Interactive Evolutionary Computation Using GAN with Contour Images
1 Introduction
2 Background
2.1 Generative Adversarial Network (GAN)
2.2 Interactive Evolutionary Computation (IEC)
3 The Methodology of Our System
3.1 Training of BicycleGAN
3.2 Configuration of the First Generation of IEC
3.3 Update of the Design System Using IEC
4 Experiments
4.1 Design of a Shoe Using Dataset of Shoes
4.2 Design of Objects Using Datasets of Different Objects
4.3 Results
5 Conclusions
References
Interaction and Dialogue Design of a Humanoid Social Robot in an Analogue Neurorehabilitation Application
1 Introduction
2 State of the Art
3 Mirror-Therapy and Arm-Ability-Training with a Human Therapist
3.1 Mirror-Therapy
3.2 Arm-Ability-Training
4 Requirements to Approximate an Engaging Therapist
4.1 Personalized, Medical Requirements
4.2 Technical Requirements
5 Proposed Setup and Robot Therapy Execution
5.1 Setup
5.2 Therapy Execution
6 Discussion
7 Conclusion and Outlook
References
Development of a Unified Artificial Immune System for Intelligent Technology of Complex Industrial Automation Objects Control in the Oil and Gas Industry
1 Introduction
2 Statement of the Problem
3 Decision Methods
4 Development of UAIS for Intelligent Technology of Complex Objects Control
5 Modeling Results
6 Conclusion
References
Edge Computing Technologies for Mobile Computing and Internet of Things
A Framework for 5G Ultra-Reliable Low Latency for Industrial and Mission-Critical Machine-Type Communication
1 Introduction
2 Ultra-Reliable Low Latency
2.1 Latency and Reliability
2.2 Relationship Between Latency and Reliability
3 Strategies of 5G to Achieve Ultra-Reliable M2M
3.1 Hybrid Automatic Repeat Request
3.2 Orthogonal Frequency Division Multiplexing (OFDM)
3.3 Minislot
3.4 Improved Reliability
4 Network Structure for Mission-Critical MTC
4.1 Checking Reliability and Latency
4.2 The Emergency Manager
4.3 Scheduling Algorithms
5 Integration of the URLLC Within the 5G Network
6 Conclusion
References
IoT and Deep Learning Solutions for an Automated Crack Detection for the Inspection of Concrete Bridge Structures
1 Introduction
2 State of the Art on Automatic Detection Methods Cracks in Civil Infrastructures
3 Neural Convolution Network Application in Bridge Damage Structural Identification
4 Simulation Results
4.1 Result Analysis
5 Conclusion
References
Performance of On-Skin RFID Miniaturized Dual Loop Tag for Body-Centric Applications
1 Introduction
2 Electromagnetic Equations for UHF RFID Technology
3 Epidermal Meandered Loop Tag Design
4 Simulation Results
5 3D Ray Tracing Simulator for Proposed Meandered Tag Placed on Human Body
6 Conclusion
References
Hybrid OSA-CSA Model for an Efficient Dynamic Spectrum Access in Cognitive Radio Environments
1 Introduction
2 System Model
3 Game Modeling of Dynamic Spectrum Access
4 Implementation and Results
5 Conclusion
References
Artificial Intelligence in the Corporate Application Chair: Clemens van Dinther, Tim Straub
Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually
1 Introduction
1.1 Individual Forecast of Intermittence and Demand
2 Related Work
3 Approach
3.1 The M5 Dataset
3.2 Structure and Training of the Proposed Algorithm
3.3 Evaluation Metrics
4 Results and Findings
5 Conclusion and Outlook
References
Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics
1 Introduction
2 Related Work and Research Gap
3 Suggested Experimental Design
4 Results
5 Conclusion
References
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
1 Introduction
2 The State-Of-The-Art in Sales Forecasting
3 Characterization of the Case Study
4 Modelling the Impact of Global Events
5 Discussion of Results
6 Conclusion and Outlook
References
Digital Skills of Procurement Employees and Their Attitudes Toward Digital Technologies
1 Introduction
2 Partner Company
3 Method
4 Results and Discussion
4.1 Digital Skills
4.2 Attitudes Toward Digitalization
4.3 Attitudes and Intention to Use
5 Summary
References
Intelligent Transportation Systems
Autonomous Vehicles in Intelligent Transportation Systems
1 Introduction
2 Autonomous Vehicles
2.1 Introduction of Autonomy
2.2 Hard Systems Approach
2.3 Soft Systems Approach
2.4 Levels of Autonomy
3 The Role of Artificial Intelligence
4 Model of the Whole ITS
5 Smart Cities
6 Issues in Managing Transition to New Technology
7 Conclusion
References
2D Autonomous Robot Localization Using Fast SLAM 2.0 and YOLO in Long Corridors
1 Introduction
2 SLAM: Problem and Solution
2.1 SLAM: Fundamental Principles and Issues
2.2 Probabilistic SLAM
2.3 Fast SLAM
3 You Only Look Once (YOLO) Algorithm
4 Simulation Results
4.1 Perceive the Environment with YOLO
5 Conclusion and Future Works
References
Digital Enterprise Architecture for Manufacturing Industry Financial Industry and Others
Applying AIDAF for Enabling Industry 4.0 in Open Healthcare Platform 2030
1 Introduction
2 Trends in Digital Healthcare
2.1 Core Technologies for Digital Healthcare
2.2 Industry 4.0 and Society 5.0
2.3 AIDAF Framework
3 Reference Architecture Model Industry 4.0 - RAMI 4.0
4 AIDAF for Digital Platforms and Industry 4.0
5 AIDAF Cases with Industry 4.0
5.1 Digital Platform (Big Data, AI) Case in Healthcare Industry
5.2 Robotics and Digital Platform (IoT) Case in Healthcare Industry
6 Conclusion and Next Research
References
Modeling of Machine Learning Projects Using ArchiMate
1 Introduction
2 Related Work
3 ML-Based Service System and Research Hypothesis
3.1 EA and ML-Based Service System
3.2 ML Project Canvas
3.3 Business IT Alignment Model for ML-based Service Systems
3.4 Research Hypothesis
4 Model Comparison
4.1 ML Project Canvas Represented by ArchiMate
4.2 Comparison of Model Elements
5 Example
6 Discussion
7 Conclusion
References
Rotating Machinery Condition Monitoring Using Time Series Analysis of Vibration Signal
1 Introduction
2 Motivation and Related Works
3 Vibration Signals Data
4 Time Series Analysis of Vibration Signals
5 Predictive Maintenance of Rotating Machines
6 Results and Discussion
7 Conclusion
References
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Human Centred Intelligent Systems

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