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Technological and Industrial Applications Associated With Industry 4.0

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  • © 2022

Overview

Editors:
  1. Alberto Ochoa-Zezzatti

    1. Universidad Autonoma de Ciudad Juarez, Ciudad Juarez, Mexico

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  2. Diego Oliva

    1. Departamento de Ciencias Computacionales, Universidad de Guadajalara, Guadajalara, Mexico

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    You can also search for this editor in PubMed   Google Scholar

  3. Aboul Ella Hassanien

    1. Faculty of Computers and Artificial Intelligence Information Technology Department, Cairo University, Giza, Egypt

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  • Presents Technological and industrial applications associated with Industry 4.0
  • Explains the algorithm used, the selected problem, and the implementation
  • Provides practical examples, comparisons, and experimental results

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 347)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xi
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  2. Mobile Applications and Web Applications to Improve Competitiveness in Industry 4.0

    1. Front Matter

      Pages 1-1
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    2. 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

      • Antonio Romero, Eddy Sánchez-DelaCruz, Alberto Ochoa
      Pages 3-22

    3. Intelligent Application to Detection of Arachnid Bites in Children Implementing Deep Learning Techniques, an AmI-Based Solution

      • Ivette Mendoza, Eddy Sánchez-DelaCruz, Alberto Ochoa
      Pages 23-40

    4. Evacuation Route Optimization in the Plaza de la Mexicanidad, Using Humanitarian Logistics

      • María Inés Borunda-Aguilar, Iván Juan Carlos Pérez-Olguín, Alberto Ochoa-Zezzatti, Erwin Adan Martinez-Gomez, José Alberto Hernández
      Pages 41-56

    5. Automatic Fall Detection for the Care of Older Adults in Smart Cities

      • Sara Judith Ríos Dueñas, Jose Mejia, Alberto Ochoa, Jose Díaz, Lidia Rascon, Nelly Gordillo et al.
      Pages 57-74

    6. Automatic Tumor Segmentation in Mammogram Images for Healthcare Systems in Smart Cities

      • Alberto Ochoa-Zezzatti, Jose Mejia
      Pages 75-86

    7. Impact of Industry 4.0: Improving Hybrid Laser-Arc Welding with Big Data for Subsequent Functionality in Underwater Welding

      • Alberto Ochoa-Zezzatti, Raúl Méndez, Elías Carrum
      Pages 87-94

    8. Interpersonal Relationships and Reciprocity: Their Influence in Knowledge Transfer Inside of Mexican Hotels

      • Aurora Máynez, Hilda Zorrilla-Nuñez, Alberto Ochoa-Zezzatti, Andres Hernández Gómez
      Pages 95-111

  3. Modern Technology Applications Including Metaheuristics and Artificial Intelligence Based Applications for Industry 4.0

    1. Front Matter

      Pages 113-113
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    2. Brainwaves Behavior During the Learning Curve Associated with the Manufacturing of a Product with Legos

      • Félix Lira-Casas, Ana García-Acosta, Jorge de la Riva-Rodríguez, Marco Gallo
      Pages 115-129

    3. Audio Features Extraction to Develop a Child Activity Recognition Model Using Support Vector Machine to Monitoring Security in a Smart City

      • Antonio García-Domínguez, Carlos E. Galván-Tejada, Laura A. Zanella-Calzada, Jorge I. Galván-Tejada, Alberto Ochoa-Zezzatti, Javier Martínez
      Pages 131-140

    4. Sentiment Analysis Using Natural Language Processing Through a Speech Recognition System Using a Hybrid Mobile App

      • Alejandro Acosta, Alberto Ochoa-Zezzatti, Lina M. Aguilar-Lobo, Gilberto Ochoa-Ruiz
      Pages 141-153

    5. Logistics of Hospitalization Patients with COVID and Ambulances Required

      • Marco Del Moral, Alberto Ochoa, Alberto Lasserre, Gastón Cedillo
      Pages 155-168

    6. A Heuristic Method for Oil Distribution Networks Applied to the Switching Behavior in the Oil Industry

      • Mario M. Monsreal-Barrera, Oliverio Cruz-Mejía
      Pages 169-176

    7. Metaheuristics for Order Picking Optimisation: A Comparison Among Three Swarm-Intelligence Algorithms

      • Jared Olmos, Rogelio Florencia, Vicente García, Martha Victoria González, Gilberto Rivera, Patricia Sánchez-Solís
      Pages 177-194

    8. 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

      • Javier Andres Esquivias Varela, Alberto Ochoa-Zezzatti, Humberto Garcia Castellanos
      Pages 195-214

  4. Industry 4.0 Optimization and Its Future Effects on Z Generation Focused on the Paradigm Shift of an Innovation Ecosystem

    1. Front Matter

      Pages 215-215
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    2. Selection of Factors Influencing for Reliable Electrical Power Transmission Design in Industry 4.0

      • Rubén Jaramillo-Vacio, Javier Cruz-Salgado, Alberto Ochoa-Zezzatti
      Pages 217-230

    3. Analysis of Transport Logistics Operations at a Link in a Reverse Supply Chain that Values Used Cooking Oil

      • Benito Sánchez-Lara, Efraín Medina-Toribio, Reyna Gayosso-García, Mayra Elizondo-Cortés
      Pages 231-247
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Keywords

About this book

This book includes chapters related to the analysis of cultural differences as a tool to enrich tacit knowledge and make processes more efficient, the factors that influence job satisfaction and the value of social capital as a competitive strategy to achieve productivity and competitiveness of organizations, in addition to research of the utmost importance to discover the facets of the diamond with respect to the symbolic capital of the organizations where Generation Z will work and how it will discover the best time to establish an innovation ecosystem that will influence its work trajectory. Industry 4.0 requires a major paradigm shift, since human capital is a source of competitive advantage.

Being competitive enables to a company, a region, a society or a country the power to advance in different areas, contributing to the benefit of a social group, therefore, and organizations need to make efforts that lead to adding value and generate a competitive advantage. Industrialapplications based on artificial intelligence can change our lives in just one generation. The chapters in this book show progress and challenges related to real-world applications, as well as the need to strengthen human capital to achieve systemic and comprehensive competitiveness required in the XXI century. 


Editors and Affiliations

  • Universidad Autonoma de Ciudad Juarez, Ciudad Juarez, Mexico

    Alberto Ochoa-Zezzatti

  • Departamento de Ciencias Computacionales, Universidad de Guadajalara, Guadajalara, Mexico

    Diego Oliva

  • Faculty of Computers and Artificial Intelligence Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

Bibliographic Information

  • Book Title: Technological and Industrial Applications Associated With Industry 4.0

  • Editors: Alberto Ochoa-Zezzatti, Diego Oliva, Aboul Ella Hassanien

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-030-68663-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-68662-8Published: 02 July 2021

  • Softcover ISBN: 978-3-030-68665-9Published: 02 July 2022

  • eBook ISBN: 978-3-030-68663-5Published: 01 July 2021

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: XI, 340

  • Number of Illustrations: 58 b/w illustrations, 158 illustrations in colour

  • Topics: Industrial and Production Engineering, Computational Intelligence

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