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Systems Collaboration and Integration: See Past and Future Research through the PRISM Center (Automation, Collaboration, & E-Services, 14)

✍ Scribed by Chin-Yin Huang (editor), Sang Won Yoon (editor)


Publisher
Springer
Year
2023
Tongue
English
Leaves
500
Category
Library

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✦ Synopsis


This book is a groundbreaking exploration of the historical and contemporary challenges in systems collaboration and integration. This exceptional book delves into engineering design, planning, control, and management, offering invaluable insights into the evolving nature of systems and networks. In an era defined by the ongoing cyber and digital transformation, coupled with artificial intelligence and machine learning, this book offers insights into the future of systems collaboration and integration.

Over the past three decades, the PRISM Center and its affiliated PRISM Global Research Network (PGRN) have spearheaded pioneering theories, technologies, and applications in the realm of systems collaboration and integration. Their research, driven by the motto “Knowledge through information; Wisdom through collaboration,” has yielded remarkable advancements. Those achievements and papers presented and updated by the PGRN scholars in the 26th ICPR are included in this book.

✦ Table of Contents


Foreword
Foreword
Contents
About the Authors
Vision, Historical Perspectives, and Progress
Brief History of the PRISM Center and the PRISM Global Research Network (PGRN)
1 Background
2 What We Have Accomplished
3 Intelligent Collaborative Automation with Collaborative Control Theory, Protocols, and Algorithms
4 Conclusions and Vision
5 Distinguished Prism Scholar Award
References
Forecasting the Size of a Collaborative Collection in Workflow Models
1 Introduction
2 Development of the Model
3 Parameter Estimation and Forecasting
4 Computing a Confidence Interval for L
5 Case Study
6 Discussion
7 Conclusions
Appendix
References
The (not so) Little Robot that Could Foster Collaboration
1 Introduction: The Seed that Started All
2 The Attractiveness of Hardware
3 The Parallel Track in Collaboration Research
4 Facilitating and Implementing e-Collaboration
5 The Promotion of Production Research
6 Conclusion
Appendix 1. Letter of Donation of the SCARA Robot
Appendix 2: Communication of the multidisciplinary operation of the RAIAAL laboratory (in Spanish)
References
PRISM & PGRN Research, Discoveries, and Emerging Challenges [General]
Challenges and Contributions to Intelligent and Transformative Production
Collaborative Decision-Making: Concepts, Methods, and Supporting Information and Communication Technologies
1 Introduction
2 Collaborative Decision-Making: Basic Aspects and Special Cases
2.1 Decision Problems and Participants
2.2 Multi-participant Decision-Making
2.3 Collaboration Forms and Methods
3 Information and Communication Technologies for Collaborative Decision-Making
3.1 The Need for Technology Support
3.2 Multi-participant Decision Support Systems
3.3 Platforms
4 Examples
4.1 iDS (Intelligent Decision Support)
4.2 FMI-A Functional Mock-up Interface
4.3 Virtual Exhibition Projects
5 Conclusions
References
Collaborative Requirement System Using Matrix and AI Approach
1 Introductory CRS
1.1 Introduction
1.2 NOF’s CRP
1.3 Cooperation Requirement Planning Using Matrix
2 Formulation Using Matrix Approach
2.1 Collaborative Scheduling Formulation
2.2 Collaborative Robot Scheduling
2.3 Comparison of Calculation Results
3 AI Approach to CRS
3.1 CSPSystem Model
3.2 Neural Network Type
3.3 Case Study
4 Concluding Remarks
References
Collaborative Supply Chain Innovation Networks of Small-Mid Enterprises
1 Introduction
2 Graph-Based Models for SME Network Performance Evaluation
3 Network Management Organizations for Maximizing Efficiency and Innovation
4 SME Networks Innovation Suggestions from the PMInnova Program
5 Conclusion
References
CCT Principle of Error and Conflict Detection and Prevention
1 CCT Principle for ECDP
2 Advanced Methods for ECDP
3 Definition and Examples
4 Error Detection in Assembly and Inspection
5 Error Detection in Software Design
6 Conflict Prognostics and Prevention
7 Emerging Trends
8 Conclusion
References
Directed Graphs for Task Analysis of Human-Machine Systems
1 Introduction
2 Background
2.1 Task Analysis and Decomposition Methods
2.2 Graph Theory
2.3 Task Analysis as Weighted Directed Graphs
2.4 Automated Data Collection
2.5 Validation
2.6 Graph Measures
3 Discussion
4 Conclusions
References
Human Factors and Sociotechnical Systems Integration
1 Introduction
2 Conceptual Foundations: Sociotechnical Systems
3 Teams, Tasks, and Time
4 Distributed Expertise
5 Coordinated Performances
6 Time as Resource and Constraint
7 Sociotechnical and System Dynamics: Analogs and Homologies
8 System Dynamics and Coupled Flow Models (Abstracted Concepts)
9 Operations to Reference Cycles Over Time
10 Dynamics of and Tolerance for Delay
11 Sociotechnical Applications: GROUPER Emphasis
12 Spaceflight
13 Healthcare Delivery Coordination
14 Cybersecurity and Network Operations
15 Aerospace and Critical Response
16 Conclusion
References
Design and Development of Collaborative Hub for Safety and Reliability Analysis
1 Introduction
2 Enterprise Knowledge Management for Reliability Analysis
3 Design of Collaborative HUB
3.1 HUBZero Overview
3.2 HUBZero Features
4 Implementation of Collaborative HUB
4.1 Customizations on HUBzero During Implementation
5 Data Management and Retrieval on Collaborative HUB
5.1 Keywords for Knowledge Management
5.2 Automated Tag/Keyword Assignment
6 Approach for Keyword Assignment to RE Tool Files
6.1 File Keywords
7 Summary and Future Work
References
The Principle-Based EMS Logistics Policies
1 Introduction
2 Principle-Based EMS Logistics Policies
2.1 Preparedness Policy – “Choose a Unit That is Closer and Results in Higher Preparedness”
2.2 Centrality Policy – “Choose a Call That is Closer and More Centrally Located”
2.3 3C Policy – “Select a Hospital That is Closer, Less Congested, and More Centrally Located”
2.4 Experimental Analysis
3 The Principle-Based Priority EMS Logistics Policies
3.1 Priority Policies
3.2 Experimental Analysis
4 Discussion
4.1 Performance Metrics
4.2 Evaluation in Real Life Scenarios
4.3 Policy Calibration
4.4 Enabling System Architecture
5 Further Exploration Opportunities
5.1 Parallelism
5.2 Heterogeneous Ambulances
5.3 Relocation
5.4 Rerouting
5.5 Citizen Responders
References
Robotic Assembly with Deformable Objects
1 Introduction
2 Technologies and Methods for Robotic Assembly with Deformable Objects
2.1 Overview
2.2 Workcell
2.3 Task Tier
2.4 Objective Tier
3 Robotic wire harness assembly – case study
4 Discussion and Conclusions
References
The Framework and Applications of Anomalous Subsequence Detection in Streaming Data Analysis and Process Monitoring in Intelligent Manufacturing
1 Introduction
2 Methodology
2.1 LRR-RKMeans for Discord Discovery in Process Monitoring
2.2 LSTM-RTC for Quality Control
3 Experimental Results
3.1 LRR-RKMeans For Detecting Discord In Wafer Production
3.2 LSTM-RTC for Process Shift Detection in Wine Production
4 Discussion
5 Conclusion
References
PRISM & PGRN Research, Discoveries, and Emerging Challenges [Domains]
On the Optimization of Systems Using AI Metaheuristics and Evolutionary Algorithms
1 Introduction
2 The Main Algorithms and Their Working Principles
2.1 Genetic Algorithm
2.2 Ant Colony Optimisation
2.3 Particle Swarm Optimisation
2.4 Differential Evolution
2.5 Simulated Annealing
2.6 Heterogeneous Distributed Bees Algorithm
3 Summary of Implementation to Optimization Problems
3.1 System Resource and Task Allocation
3.2 Optimization of Supply Network Security Using Sensory Systems
3.3 Optimization of a Law Enforcement Allocation Problem
4 Future Research Perspectives
4.1 Barrier Tree Benchmark
4.2 Parameter Tuning Methodology
4.3 Swarm Walker
5 Summary
References
Systematic Review of Inclusive Design via Neuroergonomics as Assistance for Atypical Neurology
1 Introduction
2 Purpose of Study
3 Research Methodology and Preliminary Analysis
3.1 Data Collection
3.2 Publication Trend Analysis
3.3 Popular Engagement Measure: Twitter Trend Analysis
4 Results
4.1 MaxQDA Content Analysis
4.2 VosViewer Co-citation and Content Analysis
4.3 CiteSpace Cluster Analysis
5 Discussion
6 Conclusion
7 Future Work
References
Product and Corporate Culture Diffusion via Twitter Analytics: A Case of Japanese Automobile Manufactures
1 Introduction
2 Methodology
2.1 Research Procedure
2.2 Text Mining (TM) and Corporate Account Examples
3 Results
3.1 Analysis of Controllable Variables in Twitter
3.2 Analysis of the Relationship Between RT and Timing of Tweets Posted
3.3 Analysis of Tweet Sentence Using TM
3.4 Discussion
4 Conclusions
References
Reflow Oven Recipe Optimization Approaches Based on Data-Driven Simulation
1 Introduction
2 Background
3 Methodology
3.1 Defect Metric
3.2 Simulation Model
3.3 Optimization Model
3.4 Recipe Initialization Method (RIM)
3.5 Stage-Based Segment Data Collection
3.6 Zone Air Temperatures Prediction Model
3.7 Recipe Estimation Method
4 Experiment and Results Analysis
4.1 Design of Experiments for Different Recipes
4.2 Simulation Model Selection and Parameter Setting
4.3 Optimization and Results Analysis
4.4 Stage-Based Segment Model Result
5 Conclusion and Future Work
References
Optimization in Pharmacy Automation System
1 Introduction
2 Optimization Problems and State-of-the-Art Technologies in Pharmacy Automation
2.1 RDS Planogram Design Optimization
2.2 RDS Replenishment Optimization
2.3 Collation System Optimization
2.4 Order Scheduling Optimization
2.5 Pharmacy Database Mining
3 Case Study: Study of RDS Replenishment Process Based on Modeling and Simulation Approach
3.1 Replenishment Process
3.2 Methodology: 3D Discrete-Event Simulation Model
3.3 Experiments and Results
4 Discussion: Towards Smart Pharmacy Automation System
5 Conclusions
References
Managing a Retail Store and the Associated Warehouse with a Knowledge-Driven Approach
1 Introduction
2 Literature Review
3 Intelligent Management System
4 Implementation
4.1 Case Description
4.2 Development of the Knowledge Model
4.3 Inference Rules
5 Conclusions and Future Research
Appendix A: Definitions of Support, Confidence, and Lift
Appendix B: Market Basket Analysis Result (36 Rules)
References
Crop Plants Stress Monitoring with Bayesian Network Inference in Cyber-Physical System
1 Introduction and Background
2 Methodology
3 Experiments and Results
4 Conclusions and Future Work
References
Future Challenges in Systems Collaboration and Integration
Augmenting Human-Machine Teaming Through Industrial AR: Trends and Challenges
1 Introduction
2 State-of-the-Art in Industrial AR
3 Case Study: Marine Engine Assembly
3.1 Design of Experiments
3.2 Results
4 Discussion: Towards Intelligent AR Systems
5 Conclusions
References
Printed Wearable Sensors for Robotics
1 Introduction
2 Tactile Sensing
2.1 Piezoelectric Sensors
2.2 Piezoresistive Sensors
2.3 Capacitive Sensors
2.4 Optical Sensors
3 Actuators
3.1 Electrically Responsive Actuators
3.2 Thermally Responsive Actuators
3.3 Magnetically Responsive Actuators
3.4 Photoresponsive Actuators
4 Chemical Sensors
4.1 Robotics for Combating Infectious Diseases
5 Conclusion
References
Soft Robotic Industrial Systems
1 Introduction
1.1 Soft Robotics: Towards Safe Human-Robot Collaboration
1.2 Enhancing Industrial Competitiveness Using Soft Robots
2 Soft Robotic Design Principles and Manufacturing Approaches
2.1 Material Selection for Soft Robots
2.2 Bio-Inspired Design of Soft Robots
2.3 Computer-Aided Optimization of Soft Robotic Actuators
2.4 Manufacturing Soft Robotic Actuators
2.5 3D and 4D Printing Methods for Soft Robotics
3 Soft Sensing Skins for Hard Robots
4 Modeling Frameworks for Soft Robots and Soft Cyber-Physical Systems
4.1 Finite Element Analysis (FEA) of Soft Actuators
4.2 Kinematic Modeling of Soft Actuators
5 Industrial Advantages of Soft Robotic Actuators
5.1 Dexterous Soft Robotic Manipulation
5.2 High-Speed Soft Robots
6 Conclusions
References
Skill and Knowledge Sharing in Cyber-Augmented Collaborative Physical Work Systems with HUB-CI
1 Collaboration Automation in a Cyber-Augmented Collaborative Physical System (CCPS)
2 Skill in Cyber-collaborative Physical System
3 Case studies of Skill Sharing to Enable Collaboration Automation
3.1 AR-Enabled Skill and Knowledge Sharing
3.2 HUB-Enabled Skill and Knowledge Sharing
3.3 Other Recently Researched Fields of Skill and Knowledge Sharing
3.4 Emerging Research Challenges of Skill and Knowledge Sharing
References
Smart Agriculture and Agricultural Robotics: Review and Perspective
1 Introduction
2 Appraisal and Investigation of the Importance of Agricultural Robots to Smart Agriculture and Analysis of Emerging Research Topics
3 Basic Terms, Guidelines, Principles and Conditions for the Synergy Between Agricultural Robots and Smart Agriculture
4 Simulations, Optimizations and Planners of an Agricultural Robotic System for Tasks in Smart Agriculture
5 Examples of Agricultural Robots’ Projects for Smart Agriculture
5.1 Human–Robot Collaborative System for Selective Tree Pruning
5.2 Robot for Automatic Melon Collection
5.3 Development of a Selective Autonomous Sprayer for Greenhouses
5.4 Human–Robot Collaborative System for Early Detection of Diseases
5.5 Multi-sensor Fault Tolerant Learning Algorithm in an Agricultural Robotic System
6 Summary and Perspective
References
Correction to: Systems Collaboration and Integration
Correction to: C.-Y. Huang and S. W. Yoon (Eds.): Systems Collaboration and Integration, ACES 14, https://doi.org/10.1007/978-3-031-44373-2
Author Index


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