Cyber-physical systems and supporting technologies for industrial automation:
"The exchange of data is the most significant feature of cyber-physical systems (CPS). There are definite advantages and limitations of CPS that must be considered in order to be utilized appropriately across various fields and disciplines.Cyber-Physical Systems and Supporting Technologies for...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2023]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "The exchange of data is the most significant feature of cyber-physical systems (CPS). There are definite advantages and limitations of CPS that must be considered in order to be utilized appropriately across various fields and disciplines.Cyber-Physical Systems and Supporting Technologies for Industrial Automation discusses the latest trends of cyber-physical systems in healthcare, manufacturing processes, energy, and the mobility industry. The book also focuses on advanced subsystems required for the communication of real-time data. Covering key topics such as supporting technologies, Industry 4.0, and manufacturing, this premier reference source is ideal for computer scientists, engineers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students."-- |
| Beschreibung: | 30 PDFs (xxviii, 444 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781668492680 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Cyber-physical systems and supporting technologies for industrial automation |c edited by: R. Thanigaivelan and S. Kaliappan. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2023] | |
| 300 | |a 30 PDFs (xxviii, 444 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Preface -- Acknowledgment -- Chapter 1. A Review on Artificial Intelligence-Based Cyber Physical Systems for Industry 4.0 -- Chapter 2. Advances and Challenges to Adoption of Industry 4.0 in the Manufacturing Sector: Case of Mexico -- Chapter 3. Analysis of IoT Wearable Sensors to Monitor Chronic Diseases -- Chapter 4. Analysis and Comparison of Hash Functions in Terms of Security and Performance -- Chapter 5. Analysis and Monitoring of Design Challenges in the Cyber Physical Systems in Manufacturing Sectors Using Cloud Computing -- Chapter 6. Cyber Physical Systems and Network Security: The Present Scenarios and Its Applications -- Chapter 7. Cyber Physical Systems Design Challenges in the Areas of Mobility, Healthcare, Energy, and Manufacturing -- Chapter 8. Cyber Security in Drone Technology -- Chapter 9. Design and Implementation of Production Lines Through Cyber Physical Systems in the Manufacturing Sector in Industry 4.0 Using Machine Learning -- Chapter 10. Detection of Fault Analysis in Sensor Network Systems Through Embedded Cyber Physical Systems -- Chapter 11. Face Biometric Authentication System for ATM Using Deep Learning -- Chapter 12. Immediate Fault Detection in Production and Communication Lines in the Industrial Sector Through Artificial Intelligence -- Chapter 13. Implementation of Cyber Physical Systems in Smart Cities Through Augmented Reality Networks in the Mobility Decade -- Chapter 14. Implementation of Human-Machine Interface Module and Control System Based on Controller Area Network -- Chapter 15. Interfacing of Actuators and Sensors -- Chapter 16. Modelling and Development of Energy Systems Through Cyber Physical Systems With Optimising Interconnected With Control and Sensing Parameters -- Chapter 17. New Generation Mobile Cyber Security Threats: QR Codes and Social Engineering Threats -- Chapter 18. Prediction and Development of Healthcare Systems Through Cyber Physical Systems Using Cloud Computing and Big Data -- Chapter 19. Recognition and Implementation of Cyber Physical Systems in the Development of Smart Factories in Industry 4.0 Through Optimization Techniques -- Chapter 20. Securing Decentralized Finance Through Blockchain Technologies -- Chapter 21. Recognition of Cyber Physical Systems in Smart Manufacturing Systems With Wireless Connectivity Through Deep Learning Techniques in Industrial Processes -- Chapter 22. Security for Data Communication in Cyber Physical System Limitation and Issues to Analyse the Performance Level of Networks: A Secure Mode of Data Transmission in Networks Using Different Types of Component Layers -- Compilation of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "The exchange of data is the most significant feature of cyber-physical systems (CPS). There are definite advantages and limitations of CPS that must be considered in order to be utilized appropriately across various fields and disciplines.Cyber-Physical Systems and Supporting Technologies for Industrial Automation discusses the latest trends of cyber-physical systems in healthcare, manufacturing processes, energy, and the mobility industry. The book also focuses on advanced subsystems required for the communication of real-time data. Covering key topics such as supporting technologies, Industry 4.0, and manufacturing, this premier reference source is ideal for computer scientists, engineers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/12/2023). | ||
| 650 | 0 | |a Automatic control. | |
| 650 | 0 | |a Automation. | |
| 650 | 0 | |a Cooperating objects (Computer systems) | |
| 650 | 0 | |a Robots, Industrial. | |
| 700 | 1 | |a Kaliappan, S. |d 1975- |e editor. | |
| 700 | 1 | |a Thanigaivelan, Rajasekaran |d 1977- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2023008221 | |
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| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-9267-3 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00318482 |
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| _version_ | 1816797087306612736 |
| adam_text | |
| any_adam_object | |
| author2 | Kaliappan, S. 1975- Thanigaivelan, Rajasekaran 1977- |
| author2_role | edt edt |
| author2_variant | s k sk r t rt |
| author_facet | Kaliappan, S. 1975- Thanigaivelan, Rajasekaran 1977- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
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| callnumber-raw | TJ225 .C936 2023eb |
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| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| collection | ZDB-98-IGB |
| contents | Preface -- Acknowledgment -- Chapter 1. A Review on Artificial Intelligence-Based Cyber Physical Systems for Industry 4.0 -- Chapter 2. Advances and Challenges to Adoption of Industry 4.0 in the Manufacturing Sector: Case of Mexico -- Chapter 3. Analysis of IoT Wearable Sensors to Monitor Chronic Diseases -- Chapter 4. Analysis and Comparison of Hash Functions in Terms of Security and Performance -- Chapter 5. Analysis and Monitoring of Design Challenges in the Cyber Physical Systems in Manufacturing Sectors Using Cloud Computing -- Chapter 6. Cyber Physical Systems and Network Security: The Present Scenarios and Its Applications -- Chapter 7. Cyber Physical Systems Design Challenges in the Areas of Mobility, Healthcare, Energy, and Manufacturing -- Chapter 8. Cyber Security in Drone Technology -- Chapter 9. Design and Implementation of Production Lines Through Cyber Physical Systems in the Manufacturing Sector in Industry 4.0 Using Machine Learning -- Chapter 10. Detection of Fault Analysis in Sensor Network Systems Through Embedded Cyber Physical Systems -- Chapter 11. Face Biometric Authentication System for ATM Using Deep Learning -- Chapter 12. Immediate Fault Detection in Production and Communication Lines in the Industrial Sector Through Artificial Intelligence -- Chapter 13. Implementation of Cyber Physical Systems in Smart Cities Through Augmented Reality Networks in the Mobility Decade -- Chapter 14. Implementation of Human-Machine Interface Module and Control System Based on Controller Area Network -- Chapter 15. Interfacing of Actuators and Sensors -- Chapter 16. Modelling and Development of Energy Systems Through Cyber Physical Systems With Optimising Interconnected With Control and Sensing Parameters -- Chapter 17. New Generation Mobile Cyber Security Threats: QR Codes and Social Engineering Threats -- Chapter 18. Prediction and Development of Healthcare Systems Through Cyber Physical Systems Using Cloud Computing and Big Data -- Chapter 19. Recognition and Implementation of Cyber Physical Systems in the Development of Smart Factories in Industry 4.0 Through Optimization Techniques -- Chapter 20. Securing Decentralized Finance Through Blockchain Technologies -- Chapter 21. Recognition of Cyber Physical Systems in Smart Manufacturing Systems With Wireless Connectivity Through Deep Learning Techniques in Industrial Processes -- Chapter 22. Security for Data Communication in Cyber Physical System Limitation and Issues to Analyse the Performance Level of Networks: A Secure Mode of Data Transmission in Networks Using Different Types of Component Layers -- Compilation of References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00004848 (OCoLC)1393443499 |
| dewey-full | 629.8/9 |
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| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8/9 |
| dewey-search | 629.8/9 |
| dewey-sort | 3629.8 19 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00318482 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9781668492680 |
| language | English |
| oclc_num | 1393443499 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 30 PDFs (xxviii, 444 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Cyber-physical systems and supporting technologies for industrial automation edited by: R. Thanigaivelan and S. Kaliappan. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2023] 30 PDFs (xxviii, 444 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references. Preface -- Acknowledgment -- Chapter 1. A Review on Artificial Intelligence-Based Cyber Physical Systems for Industry 4.0 -- Chapter 2. Advances and Challenges to Adoption of Industry 4.0 in the Manufacturing Sector: Case of Mexico -- Chapter 3. Analysis of IoT Wearable Sensors to Monitor Chronic Diseases -- Chapter 4. Analysis and Comparison of Hash Functions in Terms of Security and Performance -- Chapter 5. Analysis and Monitoring of Design Challenges in the Cyber Physical Systems in Manufacturing Sectors Using Cloud Computing -- Chapter 6. Cyber Physical Systems and Network Security: The Present Scenarios and Its Applications -- Chapter 7. Cyber Physical Systems Design Challenges in the Areas of Mobility, Healthcare, Energy, and Manufacturing -- Chapter 8. Cyber Security in Drone Technology -- Chapter 9. Design and Implementation of Production Lines Through Cyber Physical Systems in the Manufacturing Sector in Industry 4.0 Using Machine Learning -- Chapter 10. Detection of Fault Analysis in Sensor Network Systems Through Embedded Cyber Physical Systems -- Chapter 11. Face Biometric Authentication System for ATM Using Deep Learning -- Chapter 12. Immediate Fault Detection in Production and Communication Lines in the Industrial Sector Through Artificial Intelligence -- Chapter 13. Implementation of Cyber Physical Systems in Smart Cities Through Augmented Reality Networks in the Mobility Decade -- Chapter 14. Implementation of Human-Machine Interface Module and Control System Based on Controller Area Network -- Chapter 15. Interfacing of Actuators and Sensors -- Chapter 16. Modelling and Development of Energy Systems Through Cyber Physical Systems With Optimising Interconnected With Control and Sensing Parameters -- Chapter 17. New Generation Mobile Cyber Security Threats: QR Codes and Social Engineering Threats -- Chapter 18. Prediction and Development of Healthcare Systems Through Cyber Physical Systems Using Cloud Computing and Big Data -- Chapter 19. Recognition and Implementation of Cyber Physical Systems in the Development of Smart Factories in Industry 4.0 Through Optimization Techniques -- Chapter 20. Securing Decentralized Finance Through Blockchain Technologies -- Chapter 21. Recognition of Cyber Physical Systems in Smart Manufacturing Systems With Wireless Connectivity Through Deep Learning Techniques in Industrial Processes -- Chapter 22. Security for Data Communication in Cyber Physical System Limitation and Issues to Analyse the Performance Level of Networks: A Secure Mode of Data Transmission in Networks Using Different Types of Component Layers -- Compilation of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "The exchange of data is the most significant feature of cyber-physical systems (CPS). There are definite advantages and limitations of CPS that must be considered in order to be utilized appropriately across various fields and disciplines.Cyber-Physical Systems and Supporting Technologies for Industrial Automation discusses the latest trends of cyber-physical systems in healthcare, manufacturing processes, energy, and the mobility industry. The book also focuses on advanced subsystems required for the communication of real-time data. Covering key topics such as supporting technologies, Industry 4.0, and manufacturing, this premier reference source is ideal for computer scientists, engineers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/12/2023). Automatic control. Automation. Cooperating objects (Computer systems) Robots, Industrial. Kaliappan, S. 1975- editor. Thanigaivelan, Rajasekaran 1977- editor. IGI Global, publisher. (Original) (DLC)2023008221 Print version: 1668492679 9781668492673 (DLC) 2023008221 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-9267-3 Volltext |
| spellingShingle | Cyber-physical systems and supporting technologies for industrial automation Preface -- Acknowledgment -- Chapter 1. A Review on Artificial Intelligence-Based Cyber Physical Systems for Industry 4.0 -- Chapter 2. Advances and Challenges to Adoption of Industry 4.0 in the Manufacturing Sector: Case of Mexico -- Chapter 3. Analysis of IoT Wearable Sensors to Monitor Chronic Diseases -- Chapter 4. Analysis and Comparison of Hash Functions in Terms of Security and Performance -- Chapter 5. Analysis and Monitoring of Design Challenges in the Cyber Physical Systems in Manufacturing Sectors Using Cloud Computing -- Chapter 6. Cyber Physical Systems and Network Security: The Present Scenarios and Its Applications -- Chapter 7. Cyber Physical Systems Design Challenges in the Areas of Mobility, Healthcare, Energy, and Manufacturing -- Chapter 8. Cyber Security in Drone Technology -- Chapter 9. Design and Implementation of Production Lines Through Cyber Physical Systems in the Manufacturing Sector in Industry 4.0 Using Machine Learning -- Chapter 10. Detection of Fault Analysis in Sensor Network Systems Through Embedded Cyber Physical Systems -- Chapter 11. Face Biometric Authentication System for ATM Using Deep Learning -- Chapter 12. Immediate Fault Detection in Production and Communication Lines in the Industrial Sector Through Artificial Intelligence -- Chapter 13. Implementation of Cyber Physical Systems in Smart Cities Through Augmented Reality Networks in the Mobility Decade -- Chapter 14. Implementation of Human-Machine Interface Module and Control System Based on Controller Area Network -- Chapter 15. Interfacing of Actuators and Sensors -- Chapter 16. Modelling and Development of Energy Systems Through Cyber Physical Systems With Optimising Interconnected With Control and Sensing Parameters -- Chapter 17. New Generation Mobile Cyber Security Threats: QR Codes and Social Engineering Threats -- Chapter 18. Prediction and Development of Healthcare Systems Through Cyber Physical Systems Using Cloud Computing and Big Data -- Chapter 19. Recognition and Implementation of Cyber Physical Systems in the Development of Smart Factories in Industry 4.0 Through Optimization Techniques -- Chapter 20. Securing Decentralized Finance Through Blockchain Technologies -- Chapter 21. Recognition of Cyber Physical Systems in Smart Manufacturing Systems With Wireless Connectivity Through Deep Learning Techniques in Industrial Processes -- Chapter 22. Security for Data Communication in Cyber Physical System Limitation and Issues to Analyse the Performance Level of Networks: A Secure Mode of Data Transmission in Networks Using Different Types of Component Layers -- Compilation of References -- About the Contributors -- Index. Automatic control. Automation. Cooperating objects (Computer systems) Robots, Industrial. |
| title | Cyber-physical systems and supporting technologies for industrial automation |
| title_auth | Cyber-physical systems and supporting technologies for industrial automation |
| title_exact_search | Cyber-physical systems and supporting technologies for industrial automation |
| title_full | Cyber-physical systems and supporting technologies for industrial automation edited by: R. Thanigaivelan and S. Kaliappan. |
| title_fullStr | Cyber-physical systems and supporting technologies for industrial automation edited by: R. Thanigaivelan and S. Kaliappan. |
| title_full_unstemmed | Cyber-physical systems and supporting technologies for industrial automation edited by: R. Thanigaivelan and S. Kaliappan. |
| title_short | Cyber-physical systems and supporting technologies for industrial automation |
| title_sort | cyber physical systems and supporting technologies for industrial automation |
| topic | Automatic control. Automation. Cooperating objects (Computer systems) Robots, Industrial. |
| topic_facet | Automatic control. Automation. Cooperating objects (Computer systems) Robots, Industrial. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-9267-3 |
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