外文科技图书简介
当前位置:首页 > 检索结果 >文献详细内容

书名:Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems

责任者:Luis Carlos Mendez-Gonzalez...[et al](Eds.)  |  Rodriguez-Picon, Luis Alberto  |  Olguin, Ivan Juan Carlos Perez

ISBN\ISSN:9783031297748 

出版时间:2023

出版社:Springer

分类号:机械、仪表工业

页数:338p


前言

Industry 4.0 has established a watershed for methodologies and techniques in different areas of science and engineering to establish a new way of producing products through intelligent factories, which use a fundamental tool for operation, the Internet of Things (IoT). Over 10 years have passed since the first proposal for an intelligent factory was made at the Hannover Messe Industrial Technology Hall. Technological advances from that day until today have involved new actors that have allowed Industry 4.0 to spread and develop with greater penetration in different product sectors. This book aims to provide the reader with new technological advances related to Industry 4.0 and intelligent systems such as Artificial Intelligence, Machine Learning, Fuzzy Techniques, and soft Computing applied to different fields of industry.
Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems are divided into three sections. In Part I, Artificial Intelligence and Fuzzy Techniques Applications in the Industry 4.0, readers will be able to find how, through Machine Learning, Augmented Reality, Mixed Reality, and diffuse technique techniques, solutions are given to problems that are not only focused on the industrial field but also on social and health aspects. The chapters presented in this section, readers will be able to learn how the use of industry 4.0 methodologies and intelligent systems can provide solutions to an infinite number of situations, and that can be taken as a basis to extend knowledge in new areas. In Part II, Analytical Strategies for Productive Processes Based on Industry 4.0, readers can find methodologies that are based on different mathematical and statistical models focused on productive processes within the industry 4.0. The chapters present case studies and analytical approaches to provide solutions to specific situations through modifications to classical techniques. The case studies presented by the authors aim to optimize resources, reduce costs, and improve product designs. Finally, in Part III, Soft Computing Application in the Industry 4.0, readers will be able to find the application of fuzzy logic techniques, neural networks, and evolutionary algorithms that, together with industry 4.0 techniques, offer a solution to problems that may be from the point of view of non-linear systems.
The editors of this book hope that this work will be well received by researchers, students, and practitioners of Industry 4.0 and intelligent systems. May this book help the readers find inspiration to improve designs or processes in any branch or even derive new research related to the topics covered in this book.
Finally, the editors of this work appreciate the efforts and dedication of each of the authors of the chapters that purchase this work. Without the results of the investigations carried out by the authors, this work's integration into the scientific community would not have been possible. However, we want to thank each of the chapter reviewers since, through knowledge in expertise, the chapters were enriched and of high quality. For all of you, thank you and our sincere appreciation.

查看更多

目录

Part I Artificial Intelligence and Fuzzy Techniques Applications in the Industry 4.0

Machine Learning and Edge Computing for Industry 4.0 Applications: Concepts and Extensive Review 3

Leonardo Barboni

Failure Detection System Controlled by a Mixed Reality Interface 21

Alan Yamir Rodriguez Gallegos, Luis Carlos Mendez-Gonzalez, Alan Ivan Hernandez Holguin, and Luis Alberto Rodriguez-Picon

Industry 4.0 in the Health Sector: System for Melanoma Detection 43

Veronica Angelica Villalobos Romo, Soledad Vianey Torres Arguelles, Jose David Diaz Roman, Jesus Martin Silva Aceves, Salvador Noriega Morales, and Claudia Georgina Nava Dino

Assistive Device for the Visually Impaired Based on Computer Vision 71

Alan Ivan Hernandez Holguin, Luis Carlos Mendez-Gonzalez, Luis Alberto Rodriguez-Picon, Ivan Juan Carlos Perez Olguin, Abel Euardo Quezada Carreon, and Luis Gonzalo Guillen Anaya

Part II Analytical Strategies for Productive Processes Based on Industry 4.0

Development and Evaluation of a Machine Learning Model for the Prediction of Failures in an Injection Moulding Process 101

A. Rojas-Rodriguez, F. S. Chiwo, H. Arcos-Gutierrez, C. Ovando-Vazquez, and I. E. Garduno

An Approach to Select an Open Source ERP for SMEs Based on Industry 4.0 and Digitization Considering the SHERPA and WASPAS Methods 123

Juan Vicente Barraza de la Paz, Luis Alberto Rodriguez-Picon, Ivan Juan Carlos Perez-Olguin, and Luis Carlos Mendez-Gonzalez

The Technological Role of Steepest Ascent Optimization in Industry 4.0 Modeling 145

Paulo Eduardo Garcia-Nava, Luis Alberto Rodriguez-Picon, Luis Carlos Mendez-Gonzalez, Ivan Juan Carlos Perez-Olguin, and Roberto Romero-Lopez

The Role of Industry 4.0 Technologies in the Energy Transition: Conceptual Design of Intelligent Battery Management System Based on Electrochemical Impedance Spectroscopy Analysis 175

W. J. Pech-Rodriguez, Enrique Rocha-Rangel, Eddie N. Armendariz-Mireles, Gladis G. Suarez-Velazquez, and L. C. Ordonez

Performance Analysis of Eight-Channel WDM Optical Network with Different Optical Amplifiers for Industry 4.0 197

Anuj Kumar Gupta, Raju Sharma, Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, A. Shaji George, and Pankaj Dadheech

Part III Soft Computing Application in the Industry 4.0

Traffic Signs Configuration with a Geo-simulation Approach 215

Ariadna C. Moreno Roman and Mailyn Moreno Espino

Emotional Diagnosis for Employees Within the Framework of Industry 4.0: A Case Study in Ciudad Juarez 243

Florencio Abraham Roldan-Castellanos, Ivan Juan Carlos Perez Olguin, Luis Carlos Mendez-Gonzalez, and Luis Ricardo Vidal-Portilla

Architecture for Initial States Algorithm for Blockchain Scalability in Local OnPrem IIoT Environments 275

Alfonso Jose Barroso-Barajas, Jesus Andres Hernandez-Gomez, Roberto Antonio Contreras-Masse, and Salvador A. Noriega-Morales

Distribution Route Optimization Using Floyd-Warshall Weighted Graph Analysis Algorithm with Google Maps Integration in Industry 4.0 Context 287

Uriel Angel Gomez Rivera, Ivan Juan Carlos Perez Olguin, Luis Asuncion Perez Dominguez, Luis Alberto Rodriguez-Picon, and Luis Carlos Mendez-Gonzalez

Feature Selection in Electroencephalographic Signals Using a Multicriteria Decision Analysis Method 307

Alexis Edmundo Gallegos Acosta, Maria Dolores Torres Soto, Aurora Torres Soto, Eunice Esther Ponce de Leon Senti, and Carlos Alberto Ochoa Ortiz Zezzatti

Index 337

查看PDF
查看更多

馆藏单位

机械工业信息研究院