Intelligent Techniques for Efficient Use of Valuable Resources: Knowledge and Cultural Resources

Preface
Contents
Editors and Contributors
	About the Editors
	Contributors
1 Information and Communications Technology in the Context of Circular Economy
	1.1 Introduction
	1.2 Sustainability Functions and Their Importance
	1.3 Circular Economy: ICT, Principles, Barriers, and Drivers
	1.4 The Importance of ICT for the CE
	1.5 Business Architecture for CE
	1.6 Conclusions
	Annex 1
	Annex 2
	References
2 Mathematical Model of the Financial Sustainability of a Public University
	2.1 Introduction
	2.2 Literature Review
	2.3 Research Methodology
	2.4 Practical Implications for the Performance of Higher Education Institutions
	2.5 The Mathematical Model Regarding the Sustainability of Higher Education
	2.6 Conclusions
	References
3 Using Modern Information and Communication Technologies for Intelligent Capitalization of Cultural Resources
	3.1 Introduction
	3.2 The Evolution of Modern Information and Communication Technologies and Their Impact to Cultural Institutions
	3.3 Virtual Exhibitions as a Tool for Promoting and Capitalizing on Heritage Objects
	3.4 A Methodology for Assessing the Economic Potential Generated by Heritage Collections
	3.5 Using the Resource-Based View Concept
	3.6 Conclusions
	References
4 eTeaching and eLearning Resources. A Challenge for University Education During Covid-19
	4.1 Introduction
	4.2 Defining eLearning and eTeaching
	4.3 Type of eLearning and eTeaching
	4.4 Techniques and Platforms Used in eTeaching and eLearning in Universities
	4.5 Conclusions
	References
5 Challenges and Opportunities for the E-Learning Users During COVID-19 Pandemic Times
	5.1 Introduction
	5.2 Background
	5.3 Methodology Research
		5.3.1 Data Collection
		5.3.2 Reliability Analysis
		5.3.3 Data Reduction
		5.3.4 Multinomial Regression Analysis
	5.4 Results and Discussions
		5.4.1 Student’s Perception on COVID-19 Pandemic Implications for Learning Activities
		5.4.2 Premises and Connections Relevant on Students’ Perception Concerning Online Learning
		5.4.3 Dimensions Considered on Students’ Perception Configuration
		5.4.4 Drivers Analysis from a Dimensional Simplified Approach
	5.5 Conclusions
	References
6 Integrated System for New Product Development in Healthcare
	6.1 Introduction
	6.2 Machine Learning in Healthcare
		6.2.1 Generalities
		6.2.2 General Steps
	6.3 Integrated System for New Product Development
		6.3.1 Agile Approach for Healthcare Organizations’ Projects
		6.3.2 Model Based on the Modified QFD Method for Agile SDLC
		6.3.3 Optimal Tasks Planning Algorithm
		6.3.4 NPD Based on Machine Learning
	6.4 NPD Results in the Integrated System Context
		6.4.1 Exoskeleton
		6.4.2 Burnout Device
	6.5 Conclusions
	References
7 Towards Energy Efficient Data Centers and Computation: Exploring Some Ideas from Physicist’s Perspective
	7.1 Introduction
	7.2 The Role of Neutrosophic Logic in Exploring New Ideas
	7.3 Why Shall We Focus on Data Centers? [5]
	7.4 A Few Ideas of Energy Efficient Systems
	7.5 Conclusions
	References
8 The Dark Side of Technology Use: The Relationship Between Technostress Creators, Employee Work-Life Balance, and Job Burnout While Working Remotely During the COVID-19 Lockdown
	8.1 Introduction
	8.2 Changing Work Nature as a Result of ICTs and Remote Working
	8.3 Technostress and Technostress Creators
	8.4 Linkage Between Technostress Creators and Work-Life Balance: Hypothesis Development
	8.5 Linkage Between Technostress Creators and Job Burnout: Hypothesis Development
	8.6 Methodology
	8.7 Results
	8.8 Discussion
	8.9 Conclusions
	References
9 Evaluation Protocols for the Optimization of Water Treatment Plants
	9.1 Introduction
	9.2 The Importance of Monitoring Plans and Consequent Calculation of Performance Indicators
	9.3 Functionality Checks
	9.4 Upgrade of the Plant: How Performance Indicators Can Help in the Decision?
	9.5 Discussion
	9.6 Conclusions
	References
10 Learning Model-Free Reference Tracking Control with Affordable Systems
	10.1 Introduction
	10.2 The Linear ORM Tracking Control
		10.2.1 The Model Reference Tracking Formulation
		10.2.2 The ORM Tracking with RL Design
		10.2.3 Learning ORM Tracking with VSFRT Control
	10.3 ORM Tracking for the Electrical Braking System
		10.3.1 The Electrical Braking System Description
		10.3.2 The I/O Data Collection Experiment Settings
		10.3.3 The MFVIRL Application Settings
		10.3.4 The VSFRT Application Settings
	10.4 ORM Tracking for the Active Temperature Control System (ATCS)
		10.4.1 The Active Temperature Control System Description
		10.4.2 The I/O Data Collection Experiment Settings
		10.4.3 The MFVIRL Application Settings for ATCS
		10.4.4 The VSFRT Application Settings for ATCS
	10.5 ORM Tracking for the Voltage Control Electrical System (VCES)
		10.5.1 The Multivariable Voltage Control Electrical System (VCES) Description
		10.5.2 The I/O Data Collection Experiment Settings for the VCES
		10.5.3 The MFVIRL Application Settings for VCES
		10.5.4 The VSFRT Application Settings for VCES
	10.6 Comments and Conclusions
	References