Technological and Industrial Applications Associated With Industry 4.0

Introduction
Contents
Mobile Applications and Web Applications to Improve Competitiveness in Industry 4.0
Implementation of an Intelligent Model Based on Convolutional Neural Network for the Detection of Diseases in Citrus Crops Caused by Bird Pests Using an Intelligent Drone
1 Introduction
2 Project Development
2.1 Object Classifier and Object Detector
2.2 Artificial Neural Network
2.3 Convolutional Neural Network
2.4 Comparison Between an Artificial Neural Network and a CNN
2.5 Pixels and Neurons
2.6 Choice of the Crop to Be Analyzed
2.7 Process to Be Automated
3 Materials and Methods
3.1 Acquisition of the Images
3.2 Development of the Application
4 Results
5 Experimentation
6 Conclusions and Future Research
References
Intelligent Application to Detection of Arachnid Bites in Children Implementing Deep Learning Techniques, an AmI-Based Solution
1 Introduction
2 Implementation of the Intelligent Application
3 Spider Bite Recognition
3.1 Diagnosis, Prognosis and Follow-up
3.2 Treatment
3.3 Prevention
3.4 Methodological Proposal for the Recognition of an Arachnid Bite
4 Test Development
4.1 Module for the Recognition of Arachnids and their Bites
4.2 Results
5 Conclusions and Future Work
References
Evacuation Route Optimization in the Plaza de la Mexicanidad, Using Humanitarian Logistics
1 Introduction
2 Behavior of the Masses
2.1 Stampedes of the Masses
2.2 Pre-disaster Planning
2.3 Implementation of a Mass Victim Assistance System
3 Simulation Models
3.1 State of the Art
3.2 Mathematical Model
3.3 Simulated Case Studies and Comparison with Reality
3.4 Trajectory Simulation
4 Voronoi Diagram
5 Future Research and Works
6 Conclusions and Future Challenges
References
Automatic Fall Detection for the Care of Older Adults in Smart Cities
1 Introduction
2 Theory
2.1 Machine Learning
2.2 Layers
3 Proposed Methodology
3.1 Activation Functions
3.2 Training Parameters of a Neural Network
3.3 Tools Used for the Development of ANN Architectures
3.4 Video Processing
3.5 Action Recognition Through Video Sequences
4 Methods
4.1 Fall and Non-fall Labelling
4.2 Pre-processing
4.3 Architecture
4.4 Evaluation Metrics
5 Results
5.1 Training Results
5.2 Test Set Evaluation
6 Conclusions
References
Automatic Tumor Segmentation in Mammogram Images for Healthcare Systems in Smart Cities
1 Introduction
2 Literature Review
3 Theory Background
3.1 Deep Learning
3.2 Depthwise Layers
3.3 Non-local Processing
4 Mammogram Database
5 Deep Learning Architecture for Breast Tumor Detection
5.1 Architecture Design
5.2 Training
5.3 Implementation
6 Validation
7 Conclusions
References
Impact of Industry 4.0: Improving Hybrid Laser-Arc Welding with Big Data for Subsequent Functionality in Underwater Welding
1 Introduction
2 Industry 4.0
2.1 The Origins
2.2 Industry 4.0 Techniques
3 Welding Technologies
3.1 Laser Beam Welding (LBW)
3.2 Gas Metal Arc Welding (GMAW)
3.3 Hybrid Welding
4 Optimization
4.1 Database
4.2 Multilayer Perceptron (MLP)
4.3 Sequential Minimal Optimization (SMO)
4.4 Other Techniques
5 Conclusions and Future Challenges
References
Interpersonal Relationships and Reciprocity: Their Influence in Knowledge Transfer Inside of Mexican Hotels
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusions
References
Modern Technology Applications Including Metaheuristics and Artificial Intelligence Based Applications for Industry 4.0
Brainwaves Behavior During the Learning Curve Associated with the Manufacturing of a Product with Legos
1 Introduction
1.1 Theoretical Framework
2 Methodology
2.1 Standard Time Determination
2.2 Participants Involved in the Study
2.3 Experiment and Data Processing
2.4 Statistical Analysis
3 Results
4 Discussion
5 Conclusions and Future Challenges
References
Audio Features Extraction to Develop a Child Activity Recognition Model Using Support Vector Machine to Monitoring Security in a Smart City
1 Introduction
2 Materials and Methods
2.1 Dataset Description
2.2 Data Analysis
2.3 Model Validation
3 Experiments
3.1 Audio Recordings
3.2 Feature Extraction
3.3 Classification Model
3.4 Classification Process
4 Conclusion and Future Research
References
Sentiment Analysis Using Natural Language Processing Through a Speech Recognition System Using a Hybrid Mobile App
1 Introduction
2 Voice Recognition Algorithm Using Go
3 Sentiment Analysis Using a Rating System with Go
4 Hybrid Mobile App with Google Flutter Framework
References
Logistics of Hospitalization Patients with COVID and Ambulances Required
1 Introduction
2 Descriptions of the Model Components
2.1 The Shortest Route
2.2 The Shortest Path Algorithm
3 Proposal Methodology
3.1 Case-Based Reasoning to Solve Route Problems
4 The Proposed Model of Our Hybrid Algorithm
5 Experimental Results
6 Conclusion and Future Research
References
A Heuristic Method for Oil Distribution Networks Applied to the Switching Behavior in the Oil Industry
1 Introduction
2 Literature Review
3 Methodology
4 Results
References
Metaheuristics for Order Picking Optimisation: A Comparison Among Three Swarm-Intelligence Algorithms
1 Introduction
2 Literature Review
2.1 Order Picking
2.2 Ant Colony Optimisation
2.3 Elephant Herding Optimisation
2.4 Bat Algorithm
3 Data Description
4 Computational Tests
5 Conclusions and Further Research
References
Implementation of an Intelligent Framework for the Analysis of Body Movements Through an Avatar Adapted to the Context of Industry 4.0 for the Recruitment of Personnel
1 Introduction
2 Theory
3 Equipment
3.1 Display
3.2 Virtual Reality Simulation Lens
3.3 The Mid-Range Cpu Intel Core I5-10600 K Versus Amd Ryzen 5 3600
3.4 Graphic Card
4 Softwares
4.1 Body Tracking SDK Azure Kinect Integration
4.2 Procedure of Conducting the SDK Kinect Software
4.3 SQL Environment
5 Implemented Intelligent Application
5.1 Experiment and Implementation
5.2 Summary Statistics for Determine Industrial Process to Model
6 Conclusions
References
Industry 4.0 Optimization and Its Future Effects on Z Generation Focused on the Paradigm Shift of an Innovation Ecosystem
Selection of Factors Influencing for Reliable Electrical Power Transmission Design in Industry 4.0
1 Introduction
1.1 Thermal Behavior of the Power Cable
2 Underground Cable System in Industry 4.0
3 Design of Experiments
4 Experimentation and Results
5 Conclusion
References
Analysis of Transport Logistics Operations at a Link in a Reverse Supply Chain that Values Used Cooking Oil
1 Introduction
2 Reverse Supply Chains and Logistics Transport Operations
3 Analysis of Transport Logistics Operations of Used Cooking Oil
3.1 The Mode of Transport Definition and Operation
3.2 Management of the Vehicle Capacity
3.3 Transport Risk Analysis
4 Results
5 Conclusions
References
The Transformation of Supply Chains in the Circular Economy from International Experiences to the Mexican Cases
1 Introduction
2 Circular Economy and Supply Chains
3 Methodology
3.1 Literature Review
3.2 Economic Units (EU) Exploration by Kind of Material
4 Analysis of Descriptive Statistics
5 Challenges and Opportunities
6 Companies by Material, Link and Entity
7 Conclusions
References
Nanostores’ Density and Geographical Location: An Empirical Study Under Urban Logistics Approach
1 Introduction
2 Empirical Study Design
3 Results Analysis
4 Findings, Limitations and Future Work
5 Conclusions
References
Blockchain Model Implementation to Select the Best Bid in an Industrial Supply Chain
1 Introduction
2 Related Works
3 Proposed Model
3.1 Content Modeling
4 Results
5 Conclusions
6 Future Works
References
Sociodemographic Analysis of the Location of MSW Collection Centers in Mexico City
1 Introduction
2 Theoretical Framework
3 Materials and Methods
4 Results and Discussion
5 Conclusions
References
Classification System to Detect Diseases in Apples by Using a Convolutional Neural Network
1 Introduction
2 The Problem
3 The Solution
4 Conclusions and Future Research
References