Metaheuristic Algorithms in Industry 4.0
eBook - ePub

Metaheuristic Algorithms in Industry 4.0

Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry, Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry

  1. 344 páginas
  2. English
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eBook - ePub

Metaheuristic Algorithms in Industry 4.0

Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry, Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry

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Información del libro

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces.

This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more.

Key features:

  • Includes industrial case studies.
  • Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics.
  • surveys current trends and challenges in metaheuristics and industry 4.0.

Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.

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Información

Editorial
CRC Press
Año
2021
ISBN
9781000435986
Edición
1
Categoría
Informatica

1

A Review on Cyber Physical Systems and Smart Computing: Bibliometric Analysis

Deepak Sharma, Prashant K. Gupta and Javier Andreu-Perez
Institute for Advancing Artificial Intelligence (I4AAI)
DOI: 10.1201/9781003143505-1

CONTENTS

  1. 1.1 Introduction
  2. 1.2 Data Selection and Extraction
  3. 1.3 Distribution of Publications along Different Verticals
    1. 1.3.1 Publications Analysed: Year-on-Year Basis
    2. 1.3.2 Research Directions of Publications
    3. 1.3.3 Popular Places
    4. 1.3.4 Productive Organizations and Researchers
  4. 1.4 Analysis along the Collaboration Vertical
    1. 1.4.1 Collaboration Strength amongst the Researchers
    2. 1.4.2 Collaboration Strength of Organizations
    3. 1.4.3 Collaborative Strength of Places
  5. 1.5 Analysis along the Citation Landscape
    1. 1.5.1 The Citation Landscape for Research Papers
    2. 1.5.2 The Citation Landscape for Researchers
    3. 1.5.3 The Citation Landscape for Organizations
    4. 1.5.4 The Citation Landscape for Places
  6. 1.6 Timeline Analysis and Burst Detection
    1. 1.6.1 Timeline Review Analysis
    2. 1.6.2 Keyword Burst Detection
    3. 1.6.3 References Burst Detection
  7. 1.7 Conclusion
  8. References

1.1 Introduction

Cyber physical systems (CPSs) are the class of systems that find applications in various day-to-day domains like healthcare, academia, industry, etc. Their popularity has been growing. This is evident from the numerous survey articles, where CPS is the main theme. In Ref. [1], the authors discussed history of CPS, its relation with various research fields, different types of domain-specific applications and challenges in CPS. In Ref. [2], the author discussed about the state-of-the-art CPS in Industry 4.0 through 595 articles extracted from the Web of Science (WoS) database. This work focused on the industrial applications of CPS, uncovering the research trends and its challenges in Industry 4.0. Also, in another survey of CPS [3], the author presented a comprehensive overview of CPS based on the 77 articles collected from Scopus database. This survey article illustrated the role of CPS and its challenges in ten research categories, viz., agriculture, education, energy management, environmental monitoring, intelligent transportation, medical devices and systems, process control, security, smart city and smart home, and smart manufacturing. In Ref. [4], the authors shed a light on the survey of the Industrial Internet of Things (IIOT) with a perspective of CPS. It also discussed the architecture, applications, characteristics and challenges of IIOT.
CPSs consist of mainly (i) the physical computing units along with advanced connectivity to ensure the real-time data acquisition and information feedback from cyber space, and (ii) capabilities for data management, analytics and computations [5]. As the sensors are being increasingly embedded in almost all the industrial processes owing to advent of Industry 4.0, data collection is no longer a challenge. The challenge is rather a smart and intelligent processing of this data, which can be achieved by employing the smart devices, technology, etc. Smart devices, technology, objects and any software, regardless of its application domain, that epitomize artificial intelligence (AI) can be clubbed under the umbrella of the “smart computing (SC)”. Although the areas of the CPS and SC have been going on hand-to-hand with each other for numerous years, little has been said about their amalgamation.
So, with this aim in mind, we present in this book chapter a bibliometric analysis of the CPSs and the SC. We have used the WoS as our primary source for data/research publication collection. We found that 4,538 publications surfaced with search criteria set as “cyber physical system” and “smart computing”. We have also analysed the research data along with various other dimensions like annual publications, types of publications, possible future research directions, countries and authors. Then, we have performed analysis along with the dimension of cooperation networks such as authors, countries, organizations, etc. Finally, we have also performed the analysis about the citation structure and the burst detection.
Therefore, the scope of the current chapter/work in the nutshell is discussed in the following.
Using the WoS database, we have analysed
  • Number of annual publications in the field of CPS and SC for the past 10 years (2010–2020).
  • Types of publications such as book chapters, journal papers, etc.
  • Top journals/sources of publications.
  • Top research directions for CPS and SC. These include the computer science, engineering, telecommunications, etc. Further, an analysis on the trend in these research directions has also been put forth.
  • Top countries and ...

Índice

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Editors
  9. Contributors
  10. 1. A Review on Cyber Physical Systems and Smart Computing: Bibliometric Analysis
  11. 2. Design Optimization of Close-Fitting Free-Standing Acoustic Enclosure Using Jaya Algorithm
  12. 3. A Metaheuristic Scheme for Secure Control of Cyber-Physical Systems
  13. 4. Application of Salp Swarm Algorithm to Solve Constrained Optimization Problems with Dynamic Penalty Approach in Real-Life Problems
  14. 5. Optimization of Robot Path Planning Using Advanced Optimization Techniques
  15. 6. Semi-Empirical Modeling and Jaya Optimization of White Layer Thickness during Electrical Discharge Machining of NiTi Alloy
  16. 7. Analysis of Convolution Neural Network Architectures and Their Applications in Industry 4.0
  17. 8. EMD-Based Triaging of Pulmonary Diseases Using Chest Radiographs (X-Rays)
  18. 9. Adaptive Neuro Fuzzy Inference System to Predict Material Removal Rate during Cryo-Treated Electric Discharge Machining
  19. 10. A Metaheuristic Optimization Algorithm-Based Speed Controller for Brushless DC Motor: Industrial Case Study
  20. 11. Predictive Analysis of Cellular Networks: A Survey
  21. 12. Optimization Techniques and Algorithms for Dental Implants – A Comprehensive Review
  22. Index
Estilos de citas para Metaheuristic Algorithms in Industry 4.0

APA 6 Citation

[author missing]. (2021). Metaheuristic Algorithms in Industry 4.0 (1st ed.). CRC Press. Retrieved from https://www.perlego.com/book/2567619/metaheuristic-algorithms-in-industry-40-pdf (Original work published 2021)

Chicago Citation

[author missing]. (2021) 2021. Metaheuristic Algorithms in Industry 4.0. 1st ed. CRC Press. https://www.perlego.com/book/2567619/metaheuristic-algorithms-in-industry-40-pdf.

Harvard Citation

[author missing] (2021) Metaheuristic Algorithms in Industry 4.0. 1st edn. CRC Press. Available at: https://www.perlego.com/book/2567619/metaheuristic-algorithms-in-industry-40-pdf (Accessed: 15 October 2022).

MLA 7 Citation

[author missing]. Metaheuristic Algorithms in Industry 4.0. 1st ed. CRC Press, 2021. Web. 15 Oct. 2022.