Industry 4.0 Challenges in Smart Cities (EAI/Springer Innovations in Communication and Computing)

✍ Scribed by Dagmar Cagáňová (editor), Natália Horňáková (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 195
• Edition: 1st ed. 2023
• Category: Library

✦ Synopsis

This book discusses the next level of innovative technologies influencing sectors in industry and their future in industrial, urban and sustainable development. The authors provide a platform for a discussion of a synergy of ideas within smart industrial innovations, approaching them from various points of view. These include industry and management 4.0, the expansion of new business models, smart technologies identifying global challenges, and other new trends and opportunities. New managerial ideas, innovations, and technologies for advances in mobility are highlighted together from a multidisciplinary perspective. This book is relevant to researchers, graduate students and those who are interested in Smart Cities.

Discusses unique angles in the fields of Industrial Management

Links various global challenges in Industry 4.0, IoT, and Smart City applications by analysing results in practice

✦ Table of Contents

Preface
Contents
Secure Algorithm for IoT Devices Authentication
1 Introduction
2 Related Work
3 System Model
3.1 Simulation Environment
3.2 Session Keys Management
3.3 Session Token Generation
3.4 Communication Initiation
3.5 Secure Payload Exchanges
4 Results and Discussion
4.1 Comparison with DSA and RSA
4.2 Computation Time
4.3 Turnaround Time
4.4 Stability
4.5 Communication Overheads
4.6 Security Evaluation
5 Conclusion and Future Work
References
Mathematical Modeling as a Tool for Selecting a Rational Logistical Route in Multimodal Transport Systems
1 Introduction
2 Literature Review
3 Research Methodology
4 Results and Discussion
5 Conclusion
References
Commercializing M2M eSIM Networks
1 Introduction
2 M2M Remote SIM Provisioning Overview
2.1 Basic Network Architecture
2.2 eUICC Architecture
2.3 Interfaces
3 M2M eSIM Main Operations
3.1 eUICC Ordering
3.2 New Profile Loading and Activation
4 Ecosystem Variances
4.1 Operator Controlled SM-SR Variance
4.2 OEM Controlled SM-SR Variance
4.3 M2M-SP Controlled SM-SR Variance
5 Ecosystem Challenges and Solutions
5.1 MNOs with no SM-DP
5.2 eSIM Ownership Change
5.3 Complex Integration and Scalability
6 Conclusion
References
Closed Cycle of Biodegradable Wastes in Smart Cities
1 Introduction to the Issue
1.1 Urban Energy Dependence
1.2 Closed Cycle of Local Renewable Resources
2 Biodegradable Waste Treatment
2.1 Biodegradable Waste Statistics
2.2 Biodegradable Waste Processing
3 Waste Biomass Combustion Systems
3.1 More Decentralized Systems
3.2 More Centralized Systems
4 Experimental Testing Methods
4.1 Determination of Ash and Moisture Content
4.2 Determination of Calorific Values
4.3 Determination of Chemical Content
5 Experimental Measurements Results
5.1 Energetic Properties
5.2 Chemical Properties
6 Conclusions
References
Automated People Counting in Public Transport
1 Introduction
2 People Counting
2.1 Estimating Number of People in a Group
2.2 Counting Every Person
Counting Directly by Means of Image Processing
Counting Directly by Means of Non-image Processing (Sensors)
Counting Indirectly by Counting Attributes, Traits of Human
2.3 Peripherals
Passive Infrared Sensor
IR-UWB
Ultrasonic Sensor
3 Proposed Solution
3.1 Counting Node Design
3.2 Pre-processing and Human Detection
3.3 Determining Direction
3.4 Placing of Counting Node
3.5 Data Gathering
3.6 Pre-processing
4 Experimental Results
4.1 Scenarios
One-Person Walking
Four-People Scenario
4.2 Comparison with Other Methods
5 Conclusion
References
Industry 4.0: From Smart Factories to Artificial Intelligence
1 Culture as a Tool of the Human Race's Adaptation to the External Environment
2 Transformations of the World During Industrial Revolutions
3 Smart Factories at the Heart of Industry 4.0
4 Humans in the Shadow of Artificial Intelligence: Risks of Industry 4.0
References
Sustainable Urban Mobility–Multimodality as a Chance forGreener Cities: Evidence from Slovakia
1 Introduction
2 Material and Methodology
3 Results and Discussion
3.1 Why a Sustainable Urban Mobility Project is Necessary in the City of Nitra
3.2 European Mobility Week: A Chance to Change the Patterns of Travel Behaviour
3.3 Questionnaire Research Outcomes
4 Conclusion
References
Transport System of the Smart City Concept vs Pandemics: COVID-19 Case Study
1 Introduction
2 Development of the Crisis and Taken Measures Within the Transport System of the Country
2.1 Effects of Taken Measures
3 Additional Possibilities of Smart Transport System to Contribute in Resolving Coronavirus Crisis
4 Conclusions
References
Drive Health: Road Condition Detection
1 Introduction
2 Existing Solutions
3 Drive Health
4 Design and Implementation
4.1 Sensing Unit Hardware
4.2 Software
4.3 Web Server Software
5 Testing and Results
6 Future Work
6.1 Backup Power
6.2 Pothole Detection Improvements
6.3 Data Visualization
6.4 Real-Time Data Reporting
6.5 Integration into a Navigation Application
6.6 Evaluating Drive Safety
7 Privacy Considerations
8 Conclusion
References
Digitalization in Transport Logistics due to COVID-19: A Case Study from Germany
1 Introduction
2 Methodology
2.1 Literature Review
3 Results
4 Discussion
5 Conclusion
References
Smart Factory as the Top of the Development of the Industrial Revolution in Czech Countries
1 Introduction
2 The First Industrial Revolution and Its Influence on Czech Countries
3 The Second Industrial Revolution and Its Influence on Czech Countries
4 The Third Industrial Revolution a Its Influence on Czech Countries
5 The Fourth Industrial Revolution and Its Influence on Czech Countries
6 Conclusion
References
Automated Approach to Analyze IoT Privacy Policies
1 Introduction
2 Related Work and Background
2.1 Difficulties in Reading Privacy Policies Analysis
2.2 Privacy Policy Annotation and Text Categorization Analysis
2.3 IoT Privacy Policy Analysis
3 Collecting IoT Privacy Policies
3.1 Annotation Scheme
4 Methodology
4.1 Overview of the IoT PPA Reading Tool
4.2 Data Processing
4.3 Extracting Relevant Features
5 Machine Learning-Based Classification
6 Results and Discussions
7 Conclusion
Appendix A: IoT Manufacturers
References
Index