Human Centred Intelligent Systems

Name: Human Centred Intelligent Systems | Proceedings of KES-HCIS 2020 Conference
Brand: Springer
Price: 213.99 EUR
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Proceedings of KES-HCIS 2020 Conference

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

Springer (Publisher)

1st Edition

Published on 29. May 2020

XVI, 450 pages

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978-981-15-5784-2 (ISBN)

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Alfred Zimmermann is a Professor at Reutlingen University, Germany, Director of Research and Speaker of the Doctoral Program for Services Computing at the Herman Hollerith Center, Boeblingen, Germany. His research chiefly focuses on digital transformation and digital enterprise architectures with decision analytics in close connection with digital strategies and governance, software architectures and engineering, artificial intelligence, data analytics, the Internet of Things, services computing, and cloud computing. He graduated with a degree in Medical Informatics from Heidelberg University, 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 a Technology Manager and Leading Consultant at Daimler AG, Germany. Professor Zimmermann also maintains academic ties between his home university and the German Computer Science Society (GI), the Association for Computing Machinery (ACM), and the IEEE, where he is involved in various research groups, programs, and initiatives. He serves on numerous editorial boards and program committees and has published the results of his research at conferences, workshops, and in books and journals. Additionally, he supports industrial cooperation research projects and public research programs.

Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates the dissemination of research results in areas including intelligent systems, sustainability, and knowledge transfer. A Visiting Professor at Bournemouth University, 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 focuses 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, Ph.D., M.E., Fellow (Engineers Australia), is affiliated with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain serves with KES International, which provides the professional community with opportunities for publication, knowledge exchange, cooperation, and teambuilding. Involving over 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 the professional community through one of the largest conferences of its kind.

Content

Intro
Organisation
Honorary Chairs
General Chair
Executive Chair
Programme Chair
International Program Committee
Preface
Contents
About the Editors
General Track of Human-Centred Intelligent Systems or Human-Centred Intelligent Systems
Visual Analytics Methods for Eye Tracking Data
1 Introduction
2 Eye Tracking Data Toward Big Data
3 Eye Tracking Data Representation
4 Visual Analytics Methods
4.1 Data Pre-processing
4.2 Methods
5 Example of Future Applications
6 Future Challenges
7 Conclusion
References
Challenges of Adopting Human-Centered Intelligent Systems: An Organizational Learning Approach
1 Introduction
2 Methodology
2.1 The BD4SB Case
2.2 Data Collection and Analysis
3 Results: BD4SB Adoption Challenges
3.1 Externalization Challenges
3.2 Combination Challenges
3.3 Internalization Challenge
3.4 Socialization Challenges
3.5 Case Summary and Discussion
4 Discussion
5 Conclusions
References
Multi-level Evaluation of Smart City Initiatives Using the SUMO Ontology and Choquet Integral
1 Introduction
2 Related Work
3 Methodology
3.1 Triplet Extraction
3.2 Triplet Preprocessing
3.3 Concept Mapping into the SUMO Ontology
4 Evaluation
5 Conclusions and Future Work
References
Assistance App for a Humanoid Robot and Digitalization of Training Tasks for Post-stroke Patients
1 Introduction
2 Arm Ability Training (AAT)
3 The Humanoid Robot Pepper
4 Digitalization of the Training Task CANCELLATION
4.1 Designing the Tablet App
4.2 Designing the Human to Robot Interaction
5 Summary
References
A Novel Cooperative Game for Reinforcing Obesity Awareness Amongst Children in UAE
1 Introduction
2 The Theme of the Game-ObeseGo
3 Methods
4 Game Development
5 Game Evaluation Using Game Survey
5.1 Evaluation Outcomes
5.2 Game-Based Learning Outcomes
5.3 Food Perception
6 Conclusion
References
A Survey of Visual Perception Approaches
1 Introduction
2 Motivation
3 Computational Approaches for Visual Perception
3.1 Non-accidental Approach
3.2 Structural Information Theory
3.3 Bayesian Approach
3.4 Graph Approach
3.5 Optimization Approach
4 Discussion
4.1 Interpretation
5 Visual Perception Modeling Using Marked Point Process
6 Conclusion
References
Analysis of Long-Term Personal Service Processes Using Dictionary-Based Text Classification
1 Introduction
2 Characteristics Long-Term Personal Service Processes
3 Limitations of Process Analysis Approaches
4 Dictionary-Based Topic Mining for Personal Services
4.1 Characteristics of the Dictionary-Based Approach
4.2 Dictionary Creation
5 Case Study
5.1 Methodology
5.2 Results and Evaluation
6 Summary and Outlook
References
Toward a Smart Town: Digital Innovation and Transformation Process in a Public Sector Environment
1 Introduction
2 Research Background
2.1 Related Work
2.2 Digital Innovation and Transformation Process (DITP)
3 Use Case: German Town of Grevesmühlen
4 Analysis of Existing Digitalization Activities in the Use Case
5 Focus the Intention for Smart Towns
6 Conclusion and Outlook
References
Automatic Multi-class Classification of Tiny and Faint Printing Defects Based on Semantic Segmentation
1 Introduction
1.1 Target Area of the Research
2 Research Subject and Related Works
2.1 Research Subject: Tiny and Faint Defects of Multiclass
2.2 Image Subtraction
2.3 Early Machine Learning
2.4 Convolutional Neural Network
3 Proposed Approach
3.1 Annotation Tool
3.2 Semantic Segmentation Models
4 Dataset
5 Numerical Experiment
5.1 Experimental Setup
5.2 Results
6 Improvement by the Grayscale Channel
7 Conclusions
References
A Novel Hand Gesture Recognition Method Based on Illumination Compensation and Grayscale Adjustment
1 Introduction
2 Method
2.1 Concept
2.2 Illumination Compensation Based on Luminance Adjustment and Gamma Correction
2.3 Grayscale Adjustment
2.4 Threshold Segmentation of the Hand Gesture
2.5 Gesture Feature Computing and Recognition
3 Experiments and Analyses
4 Conclusion and Future Work
References
Architecting Intelligent Digital Systems and Services
1 Introduction
2 Digital Transformation
3 Digital Service Design
4 Intelligent Systems and Services
5 Digital Enterprise Architecture
6 Conclusion
References
A Human-Centric Perspective on Digital Consenting: The Case of GAFAM
1 Introduction
2 The Need for a Human-Centric Perspective on Digital Consenting
2.1 Fairness Matters: A Human-Centric Perspective and Marginalized People
3 Enacting Consent: Consenting as a Sociocognitive Action
3.1 The Cognitive Dimension of Consenting
3.2 The Collective Dimension of Consenting
3.3 The Contextual Dimension of Consenting
4 A Human-Centric Evaluation of the GAFAM Practice of Consent Obtaining
4.1 Evaluating the Cognitive Aspect of Consenting
5 Discussion
5.1 Dark Patterns and the Assault on the Cognitive Dimension of Consenting
5.2 The Missing Aspects: Collectiveness and Contextuality
5.3 Fairness, Accountability, and Transparency of GAFAM Consent-Obtaining Mechanisms
5.4 Lawfulness of Non-human-centric Consent-Obtaining Mechanisms?
6 Limitations & Future Work
7 Conclusion
References
An Industrial Production Scenario as Prerequisite for Applying Intelligent Solutions
1 Introduction
1.1 Current State
1.2 Production Scenario with 3D Printer
2 Lean Universal Control Architecture as Base
3 Visualization for Simulation and Monitoring
4 Programming and Validation of the Control System
4.1 Workflow-Based Control Programming
4.2 Checking of Control Application Programs
5 Related Work
6 Conclusion and Future Work
References
Spectrum Management of Power Line Communications Networks for Industrial Applications
1 Introduction
2 Narrowband PLC Networks
3 Problem Formulation
4 Simulations Results
5 Conclusion
References
Innovations in Medical Apps and the Integration of Their Data into the Big Data Repositories of Hospital Information Systems for Improved Diagnosis and Treatment in Healthcare
1 Introduction
1.1 Innovations in Medical Apps for Diagnosing Skin Diseases
1.2 Innovations in Medical Apps for Diagnosing Other Types of Diseases
2 Hospital Information Systems
2.1 Integrating Medical Apps to Hospital Information Systems
3 Conclusion
References
Automatic Classification of Rotating Machinery Defects Using Machine Learning (ML) Algorithms
1 Introduction
2 Methodology
2.1 Data Acquisition Protocol
2.2 Data Pre-processing
2.3 Time Signal Based Approach
3 Predictive Maintenance of Rotating Machines
3.1 Classical Machine Learning Based Approaches
3.2 Support Vector Machines (SVMs)
3.3 Decision Trees
3.4 k-Nearest Neighbor (k-NN) Classifier
3.5 Naive Bayes Classifier
4 Results and Discussion
4.1 Test Results with Cross-Validation
5 Conclusion
References
Technologies to Improve Senior Care
Potentials of Emotionally Sensitive Applications Using Machine Learning
1 Introduction
2 Research Method and Data Collection
2.1 Data Collection
2.2 Data Analysis
3 Potentials of Emotionally Sensitive Applications (Hypothesis Model)
3.1 Quality Improvement
3.2 Cost Savings
3.3 Improvement of Individual Customer Service
3.4 New Business Models
3.5 Customization
3.6 Simplification of Processes
4 Summary and Outlook
Appendix
References
A Brief Review of Robotics Technologies to Support Social Interventions for Older Users
1 Introduction
1.1 Social Robots as Support to the Social Care Systems
1.2 Social Robots and Ethical Issue
1.3 Acceptance or Acceptability Toward Robots
2 Social Robotics for Older People
2.1 Acceptance and Acceptability in Older People
2.2 Social Robots as Assessment Tools
3 Conclusion
References
The Human-Robot Interaction in Robot-Aided Medical Care
1 Introduction
2 The Sensory Data
2.1 Visual Information
2.2 Proxemics Information
2.3 Auditory Information
3 The Robot Model of Interaction
4 The ROS Implementation
5 Conclusion
References
Experiment Protocol for Human-Robot Interaction Studies with Seniors with Mild Cognitive Impairments
1 Introduction
2 Methodology
3 An Example of Robotics Lab for HRI: The Robot Home
4 Guidelines for Participant Selection
5 Guidelines for Data Collection
5.1 Self-report Measures
5.2 Behavioural Measures
5.3 Psychophysiology Measures
6 Experiment Protocol
7 Conclusion
References
Designing Robot Verbal and Nonverbal Interactions in Socially Assistive Domain for Quality Ageing in Place
1 Introduction
2 Social Robots for Aged Care
3 Method
3.1 The Robotic Caregiver
3.2 Experimental Design
4 Trial Runs
5 Conclusions
References
Real-Time Data Processing in Industrial and IoT Applications
IoT in Smart Farming Analytics, Big Data Based Architecture
1 Introduction
2 IoT and Data Analysis in Smart Farming
2.1 IoT in Smart Farming
3 Big Data Architecture for Smart Farming
3.1 Data Sources
4 Software Components
5 Conclusion
References
Review of Internet of Things and Design of New UHF RFID Folded Dipole with Double U Slot Tag
1 Introduction
2 The Internet of Things Connectivity Concept
3 The Internet of Things Topology Techniques
4 The IoT Connectivity Standards
4.1 Wireless Fidelity (Wi-Fi)
4.2 Bluetooth
4.3 ZigBee
4.4 RFID
4.5 SigFox
5 The IoT Applications
6 Proposed RFID Tag Used in IoT Network
6.1 The Matching Feature and Radiation Performances of the Proposed RFID Tag
6.2 The Matching Features and Radiation Performances of the Proposed RFID Tag Placed on the Glass
7 Conclusion
References
Smart Water Distribution System Based on IoT Networks, a Critical Review
1 Introduction
2 Sensing Technology Evolution
3 Communication Technologies
3.1 Dash7 Technology
3.2 ZigBee Technology
3.3 NFC and RFID Technology
4 Sensing Platforms
4.1 Wireless Sensor Networks
4.2 Internet of Things Platform
5 Applications
6 Conclusion
References
Performance Analysis of Mobile Network Software Testbed
1 Introduction
2 Overview
2.1 OAI and SrsLTE Platforms
2.2 Amarisoft Platform
3 Testbed Deployment and Configuration
4 Results and Analysis
4.1 RTT Test
4.2 CPU Usage
4.3 Delay Jitter and Throughput Measurments
4.4 SDR RF Performance Test
5 Indoor Performance Evaluation
5.1 Setup Scenario
5.2 Coverage and Radio Signal Analysis
6 Conclusion
7 Future Work
References
Digital Enterprise Architecture for Manufacturing Industry Financial Industry and others
Method for Assessing the Applicability of AI Service Systems
1 Introduction
2 Related Work
3 AI Service System and Research Hypothesis
3.1 AI Service System and EA
3.2 Research Hypothesis
4 Proposal
5 Experiment
6 Discussion
7 Conclusion
References
How Will 5G Transform Industrial IoT: Latency and Reliability Analysis
1 Introduction
2 Low-Latency Techniques in 5G
3 Resource Optimization for uRLLC in 5G
3.1 Achievable Rate Approximation for uRLLC
3.2 Effective Bandwidth for uRLLC
4 Latency Optimization for uRLLC Applications
5 Simulation Results
6 Conclusion
References
Real-Time 3D Visualization of Queues with Embedded ML-Based Prediction of Item Processing for a Product Information Management System
1 Introduction
2 Related Work
3 Methodology
4 Context
5 Developing the ML-Based Item Processing Prediction and Visualization Prototype
5.1 Understanding the Requirements
5.2 System Design and Evaluation
5.3 Lessons Learned
6 Discussion and Conclusions
References
Business Process-Based IS Development as a Natural Way to Human-Centered Digital Enterprise Architecture
1 Introduction
2 Process-Driven Management
2.1 Process-Driven Approach in Digital Enterprise Architecture
2.2 Process-Driven Information System
3 Discussion and Conclusions
References
Digital Architecture in Startups
1 Introduction
2 Startups and Their Life Cycles
2.1 Background Methodology
2.2 Generic Causal Model of Startup
3 Discussion
4 Conclusions
References
Internet of Robotic Things with Digital Platforms: Digitization of Robotics Enterprise
1 Introduction
2 The Direction of Digital IT, IoRT Platform, and EA
2.1 Related Works for EA, Cloud, Mobile IT, and Digital IT
2.2 Internet of Robotic Things (IoRT)
2.3 AIDAF Framework
3 Extended IoRT Architecture
3.1 IoRT Architecture
3.2 AIDAF with Platform Board
4 Discussions
4.1 The Case of IoRT-Based Digital Platforms in Robotic Enterprise
4.2 Challenges, Future Issues
5 Conclusion
References
Innovative Information Services for Advanced Knowledge Activity
Wireless Positioning and Tracking for Internet of Things in Heavy Snow Regions
1 Introduction
2 Low-Cost GPS-Free Node Localization
2.1 Maximum Likelihood Estimator
2.2 Linear Least Square Estimator
2.3 LLS-MLE
3 Simulations
3.1 Anchors Node Deployment Strategies
3.2 The Impact of the Anchors Node Percentage
4 Conclusion
References
Text-Dependent Closed-Set Two-Speaker Recognition of a Key Phrase Uttered Synchronously by Two Persons
1 Introduction
2 Speech Data
3 Proposed System
4 Experiments
4.1 Experimental Conditions
4.2 Speaker Identification Experimental Results
4.3 Error Analysis
5 Conclusion
References
Enabling Digital Co-creation in Urban Planning and Development
1 Introduction
2 The Way to DIPAS
3 Iterative Development
4 Usability Studies and Piloting
4.1 First Development Stage
4.2 Second Development Stage
5 Optimizing Input and Output with NLP
5.1 The Citizens' Perspective: Ideation
5.2 The Planner's Perspective: Evaluation
6 Conclusion and Outlook
References
Interaction Effects of Environment and Defect Features on Human Cognitions and Skills in Visual Inspections
1 Introduction
2 Peripheral Vision Inspection and Experiments
2.1 Peripheral Vision Inspection
2.2 Previous Research
2.3 The Purpose of Experiment #1
2.4 Experimental Method
3 Results and Consideration
3.1 Basic Analysis
3.2 Factorial Analysis
3.3 Multivariate Regression Analysis
4 Experiments of Visual Inspections: Expert and Beginner
4.1 Environment of Experiment #2
4.2 Results and Consideration
5 Suggestion for Visual Inspection Environment and Training
6 Conclusions
References
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Human Centred Intelligent Systems

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