Technological Innovation for Applied AI Systems : 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Costa De Caparica, Portugal, July 7–9, 2021, Proceedings

This book constitutes the refereed proceedings of the 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, held in Costa de Caparica, Portugal, in July 2021.* The 34 papers presented were carefully reviewed and selected from 92 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and service systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; smart manufacturing; cyber-physical systems and digital twins; intelligent decision making; smart energy management; communications and electronics; classification systems; smart healthcare systems; and medical devices. *The conference was held virtually. Chapters “Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing” and “Predictive Manufacturing: Enabling Technologies, Frameworks and Applications” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Preface Reference Organization Contents Collaborative Networks AI and Simulation for Performance Assessment in Collaborative Business Ecosystems 1 Introduction 2 Relationship with Innovation in Artificial Intelligence Systems 3 The Simulation Model 3.1 Characterisation of the Data 3.2 Performance Assessment and Influence Mechanism 3.3 Model of the Agents 3.4 Simulation Results 4 Conclusions and Further Work References The Benefits of Applying Social Network Analysis to Identify Collaborative Risks 1 Introduction 2 Literature Review 2.1 Collaborative Risks 2.2 Social Network Analysis (SNA) 2.3 Organizational Business Intelligence Architecture (BI) 3 Model Development and Application 4 Application Case of the Proposed Model 5 Conclusions and Further Research References A Mixed Method for Assessing the Reliability of Shared Knowledge in Mass Collaborative Learning Community 1 Introduction 2 Relationship to Technological Innovation for Applied Artificial Intelligence Systems 3 Related Work 4 Proposed Mixed Method for Assessing the Reliability of Shared Knowledge or Information (MAM-MCL) 5 Discussion 6 Conclusion References Smart Manufacturing Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing 1 Introduction 2 Relation to Applied Artificial Intelligence Systems 3 Smart Manufacturing and Cyber-Physical Production Systems 3.1 Self-organization in Smart Manufacturing 4 Characteristics of Adaptable Production Systems Towards Smart Manufacturing 4.1 Characteristics Description 4.2 Self-adapting and Self-organizing Manufacturing Applications 4.3 The Role of Self-organization Towards Smart Manufacturing 5 Conclusions and Further Work References Predictive Manufacturing: Enabling Technologies, Frameworks and Applications 1 Introduction 2 Relation to Applied Artificial Intelligence Systems 3 Adopted Methodology 4 Results and Discussions 5 Conclusion References Control of Manufacturing Systems by HMS/EPS Paradigms Orchestrating I4.0 Components Based on Capabilities 1 Introduction 2 Relationship to Applied Artificial Intelligence Systems 3 Literature Review 3.1 Architectures to Orchestrate “Capabilities” 3.2 Ontology and Modeling’s Approaches for Virtual Representation Using “Component I4.0” 4 Work Purpose 5 Results 6 Conclusion and Future Work References A Framework for Self-configuration in Manufacturing Production Systems 1 Introduction 2 Literature Review 2.1 Artificial Intelligence for Smart Production Systems 2.2 Self-concept in Manufacturing 2.3 Enabling Technologies for Self-configuration 3 Framework for Self-configuration in Production Systems 3.1 Sequence of Proposed Self-configuration Strategy 4 Implementation and Deployment to an Industrial Use-Case 5 Conclusion and Future Work References Cyber-Physical Systems and Digital Twins Verification of the Boundedness Property in a Petri Net-Based Specification of the Control Part of Cyber-Physical Systems 1 Introduction and Problem Formulation 2 Petri Nets in Applied Artificial Intelligence Systems 3 Definitions and Notations 4 The Idea of the Proposed Method 5 Experiments 6 Conclusions References Collaborative Cyber-Physical Systems Design Approach: Smart Home Use Case 1 Introduction 2 Contribution to Applied AI Systems 3 Research Approach 4 Smart Home Scenario 5 Conclusions References Digital Twin for Supply Chain Master Planning in Zero-Defect Manufacturing 1 Introduction 2 Contribution to Applied Artificial Intelligence Systems 3 Literature Review 4 Proposal 5 Conclusions References Intelligent Decision Making Matheuristic Algorithms for Production Planning in Manufacturing Enterprises 1 Introduction 2 Matheuristics for Applied Artificial Intelligence Systems 3 Literature Review 4 Research Contribution and Innovation 5 Conclusions and Further Work References Assessment of Sentinel-2 Spectral Features to Estimate Forest Height with the New GEDI Data 1 Introduction 2 Relationship with Applied Artificial Intelligence Systems 3 Materials and Methods 3.1 Study Areas 3.2 Remote Sensing Data 3.3 Methods 4 Discussion and Results 5 Conclusions and Future Work References Assessing Normalization Techniques for TOPSIS Method 1 Introduction 2 Contribution to Applied Artificial Intelligence Systems 3 Assessment Framework for Evaluation of Normalization Techniques 4 Comparison of Normalization Techniques with an Illustrative Example for TOPSIS Method 5 Conclusions References How Can e-Grocers Use Artificial Intelligence Based on Technology Innovation to Improve Supply Chain Management? 1 Introduction 2 Contribution to Applied Artificial Intelligence Systems 3 A Systematic Literature Review 3.1 Material Collection 3.2 Descriptive Analysis 3.3 Category Selection 3.4 Material Evaluation 4 Research Contribution and Innovation 5 Conclusions and Future Work References A Conceptual Framework of Human-System Interaction Under Uncertainty-Based on Shadow System Perspective 1 Introduction 2 Relation to Applying AI 3 Literature Review 4 Shadow System Under Uncertainty 5 Human-System Interaction Obstacle 6 Human-System Interaction Obstacle 7 Conclusion and Research Challenge 8 Future Work References A New Challenge for Machine Ethics Regarding Decision-Making in Manufacturing Systems 1 Introduction 2 Relationship to Technological Innovation for Applied AI Systems 3 Autonomy Role in Ethical Decision Making 4 What is Machine Ethics? 4.1 Why Machine Ethic is Important? 4.2 Challenges in Front of Machine Ethics 5 Can Machines Be Responsible? 5.1 Types of Human Ethical Responsibility, Can be Extended to Machines? 6 Research Approach 6.1 Sliding Decision Making Model 6.2 Methodology 7 Conclusion References Smart Energy Management Towards a Hybrid Model for the Diffusion of Innovation in Energy Communities 1 Introduction 2 Relationship with Applied Artificial Intelligence 3 Related Literature 4 Analysis of Base Models 4.1 Diffusion of Innovation Model (DIM) 4.2 The Transtheoretical Model (TTM) 4.3 Structural Comparison Between DIT and TTM 4.4 Contextual Comparison, Hybridization, and Redefinition 4.5 The Hybrid Transtheoretical and Diffusion of Innovation Model (HyTraIn) 5 Demonstration of the Modelling Technique 6 Application of Concepts to Energy Communities 7 Conclusion and Future Work References Towards Extension of Data Centre Modelling Toolbox with Parameters Estimation 1 Introduction 2 Related Works 3 Parameters Estimation 3.1 Regression-Based Estimation 3.2 Simulation-Based Optimisation 4 Results and Discussion 5 Conclusion References Power Transformer Design Resorting to Metaheuristics Techniques 1 Introduction 2 Relationship to Applied Artificial Intelligence Systems 3 Power Transformer Design Model 3.1 GA Operator’s Characterization 3.2 Mutation with Genetic Compensation Effect 3.3 GA Parameters Definition 4 Case Study Analysis 5 Conclusions References Communications and Electronics Detection of Signaling Vulnerabilities in Session Initiation Protocol 1 Introduction 1.1 Research Question and Contribution 1.2 Related Work 2 Applied Artificial Intelligence Systems 3 Modeling, Learning, and Classification 3.1 System Model 3.2 Deep Learning and Classification 3.3 Unknown SIP Dialogs’ Detection 4 Performance Evaluation 5 Conclusions References Interference Power Characterization in Directional Networks and Full-Duplex Systems 1 Introduction 1.1 Motivation and Research Question 2 Relationship to Applied Artificial Intelligence Systems 3 System Model 4 Performance Analysis 5 Conclusions References FEM-Parameterized Sensorless Vector Control of PMSM Using High-Frequency Voltage Injection 1 Introduction 2 Analysis of PMSM 2.1 Finite Element Method Analysis 2.2 Finite Element Method Analysis 2.3 Mathematical Model of PMSM 3 High-Frequency Synchronous Injection 3.1 Mathematical Model 3.2 Mathematical Model 4 Drive Simulation 5 Conclusion References Classification Systems Deep Learning-Based Automated Detection of Inappropriate Face Image Attributes for ID Documents 1 Introduction 2 Contribution to Applied Artificial Intelligence Systems 3 Quality Analysis Pipeline 4 DL-Based Quality Analysis 4.1 Mouth-Open/Eyes-Closed Classification 4.2 Veil-Over-Face Classification 5 Experiments and Validation 5.1 Data Pipeline 5.2 Training Results 5.3 Model Testing and Evaluation Experiments 5.4 Pipeline Assessment 6 Conclusions References Automatic Cognitive Workload Classification Using Biosignals for Distance Learning Applications 1 Introduction 2 Relationship to Applied Artificial Intelligence Systems 3 Literature Review 4 Materials and Methods 4.1 Experimental Setup 4.2 Data Recording 4.3 Signals Preprocessing and Features Extraction 5 Results 6 Discussion 7 Conclusions and Future Work References Design of an Attention Tool Using HCI and Work-Related Variables 1 Introduction 2 Literature Review 2.1 Attention and Time Management at Work 2.2 Feedback and Recommendations 3 Relation to Applied Artificial Intelligence Systems 4 Tool Development 4.1 Concept 4.2 Development Roadmap 5 Conclusion and Future Work References Smart Healthcare Systems Assessment of Visuomotor and Visual Perception Skills in Children: A New Proposal Based on a Systematic Review 1 Introduction 1.1 Motivation 2 Contribution to Life Improvement 3 Materials and Methods 3.1 Selection Method 3.2 Methodology for Collecting Information 4 Results 5 Discussion of Results and Critical View 6 Conclusion and Further Work Appendix A References Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes 1 Introduction 2 Artificial Intelligence, Machine Learning and Mental Health 3 Contribution to Applied Artificial Intelligence Systems 3.1 Benefits of Machine Learning Tools in Mental Health 3.2 Limitations and Ethical Considerations of Machine Learning Tools in Mental Health 4 Conclusions References Multi-agent System Architecture for Distributed Home Health Care Information Systems 1 Introduction 2 Relationship to Applied Artificial Intelligence Systems 3 Related Literature 4 Contribution and Innovation 5 Discussion and Critical View 6 Conclusions and Further Work References Medical Devices Analysis of Electromyography Signals for Control Models of Power-Assisted Stroke Rehabilitation Devices of Upper Limb System 1 Introduction 2 Aim of the Research 3 Methods and Basic Assumptions 3.1 Study Characterization 4 Results and Discussion 5 Conclusions and Future Work References AI-Based Classification Algorithm of Infrared Images of Patients with Spinal Disorders 1 Introduction 2 Relationship to Applied AI Systems 3 Materials and Methods 3.1 Sample Size 3.2 Measurement Protocol 3.3 Deep Learning Model 4 Discussion and Results 5 Conclusions References Improvements on Signal Processing Algorithm for the VOPITB Equipment 1 Introduction 2 Contribution to Life Improvement 3 Methods 4 Results 5 Discussion and Conclusion References Pilot Study for Validation and Differentiation of Alveolar and Esophageal Air 1 Introduction 2 Relationship to Applied Artificial Intelligence Systems 3 Methodology for Breath Differentiation 3.1 Exhaled Air Sampling and Analysis 3.2 Data Analysis 4 Results and Discussion 5 Conclusions and Future Work References Application of Machine Learning Methods to Raman Spectroscopy Technique in Dentistry 1 Research Question and Its Motivation 2 Raman Spectroscopy Combined with PCA Method 3 State of the Art - MVA Applied to Raman Spectral Data Acquired from Dental Samples 4 Research Contribution and Innovation - Evaluation of Protective Effect of Dental Varnish using Raman Microscopy and PCA Approach 4.1 Dental Samples 4.2 Research Design and Methodology 4.3 Results and Discussion 5 Conclusions and Further Work References Gas Chromatography-Ion Mobility Spectrometry Instrument for Medical Applications: A Calibration Protocol for ppb and ppt Concentration Range 1 Introduction 2 Relationship to Applied Artificial Intelligence Systems 3 Materials and Methods 3.1 Instrumentation and Selected Compound 3.2 Calibration Systems and Procedure 4 Results and Discussion 5 Conclusions and Future Work References Correction to: Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing Correction to: Chapter “Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing” in: L. M. Camarinha-Matos et al. (Eds.): Technological Innovation for Applied AI Systems, IFIP AICT 626, https://doi.org/10.1007/978-3-030-78288-7_4 Correction to: Predictive Manufacturing: Enabling Technologies, Frameworks and Applications Correction to: Chapter “Predictive Manufacturing: Enabling Technologies, Frameworks and Applications” in: L. M. Camarinha-Matos et al. (Eds.): Technological Innovation for Applied AI Systems, IFIP AICT 626, https://doi.org/10.1007/978-3-030-78288-7_5 Author Index