Cyber-physical systems: a comprehensive guide
Gespeichert in:
| Weitere beteiligte Personen: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2022
|
| Ausgabe: | First edition |
| Schriftenreihe: | Chapman and Hall/CRC cyber-physical systems
|
| Schlagwörter: | |
| Links: | https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=6935446 |
| Umfang: | 1 Online-Ressource (xii, 251 Seiten) |
| ISBN: | 9781000569445 |
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| 245 | 1 | 0 | |a Cyber-physical systems |b a comprehensive guide |c edited by Nonita Sharma, L K Awasthi, Monika Mangla, K P Sharma, and Rohit Kumar |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2022 | |
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| 505 | 8 | |a Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Applications of Artificial Intelligence in Cyber-Physical Systems -- 1.1 Introduction -- 1.2 Cyber-Physical System -- 1.3 Artificial Intelligence -- 1.4 Applications of Cyber-Physical Systems -- 1.4.1 Biomedical and Healthcare Systems -- 1.4.2 Next-Generation Air Transportation Systems and Smart Cars -- 1.4.3 Renewable Energy and Smart Grid -- 1.4.4 Cyber Manufacturing System -- 1.4.5 CPS Security -- 1.5 Conclusion -- References | |
| 505 | 8 | |a 2. Enhancement of the Healthcare Sector and the Medical Cyber-Physical System with the Help of Blockchain Technology -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Data Analysis -- 2.4 Proposed Model Theory -- 2.5 Required Software -- 2.6 Design Flow and Architecture Design -- 2.7 Implementation and Working -- 2.7.1 Deploying Smart Contract on JavaScript Virtual Machine (VM) -- 2.7.2 Deploying a Smart Contract on a Rinkeby Environment -- 2.7.3 Deploying a Smart Contract on a Ganache Blockchain Using Web3 Provider -- 2.8 Conclusion -- 2.9 Future Research Directions -- References | |
| 505 | 8 | |a 3. Applications of Cyber-Physical Systems for Industry 4.0: A Comprehensive Review -- 3.1 Introduction: Industry 4.0 and the Cyber-Physical System -- 3.2 Industry 4.0 -- 3.2.1 Benefits of Industry 4.0 -- 3.3 Cyber-Physical System (CPS) -- 3.3.1 Cyber-Physical Systems in Industry 4.0 -- 3.3.2 Features of the CPS -- 3.3.3 CPS Architecture for Industry 4.0 -- 3.3.4 Need for the CPS in Industry 4.0 -- 3.4 Applications of the CPS in Industry -- 3.5 CPS-Enabled Use Cases -- 3.6 CPS in Health Care: A Case Study -- 3.6.1 Applications -- 3.6.2 Controlled -- 3.6.3 Architecture -- 3.6.3.1 Data Requirements | |
| 505 | 8 | |a 3.6.3.2 Composition -- 3.6.4 Sensing -- 3.6.4.1 Methods -- 3.6.4.2 Parameters -- 3.6.5 Data Management -- 3.6.5.1 Data Integration -- 3.6.5.2 Data Storage -- 3.6.5.3 Data Processing -- 3.6.6 Computation -- 3.6.6.1 Modeling -- 3.6.6.2 Monitoring -- 3.6.7 Communication -- 3.6.7.1 Scheduling -- 3.6.7.2 Protocols -- 3.6.8 Security -- 3.6.8.1 Privacy -- 3.6.8.2 Encryption -- 3.6.9 Control/Actuation -- 3.6.9.1 Decision Making -- 3.6.9.2 Mechanisms -- 3.7 Conclusion -- References -- 4. A Theoretical Framework for Deep Neural Networks over CPS: Vision, Application, Challenges -- 4.1 Introduction to CPS | |
| 505 | 8 | |a 4.2 Need for DL-Enabled CPS -- 4.3 Deep Learning Models -- 4.3.1 Feed Forward Neural Network -- 4.3.2 Convolutional Neural Network -- 4.3.3 Recurrent Neural Network -- 4.3.4 Autoencoders -- 4.3.5 Restricted Boltzmann Machines -- 4.3.6 Deep Belief Network -- 4.4 CPS with Deep Learning Components -- 4.4.1 CPS in Production -- 4.4.2 CPS in Health Care -- 4.4.3 CPS in Transportation -- 4.4.4 CPS in Farming -- 4.4.5 CPS in Buildings -- 4.5 Challenges in Establishing Deep Learning in the CPS -- 4.5.1 Data Management -- 4.5.2 Hyperparameter Tuning -- 4.5.3 Apprehension of DL Model | |
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| 700 | 1 | |a Kumar, Rohit |4 edt | |
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Datensatz im Suchindex
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| author2 | Sharma, Nonita Awasthi, L. K. Mangla, Monika Sharma, K. P. Kumar, Rohit |
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| contents | Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Applications of Artificial Intelligence in Cyber-Physical Systems -- 1.1 Introduction -- 1.2 Cyber-Physical System -- 1.3 Artificial Intelligence -- 1.4 Applications of Cyber-Physical Systems -- 1.4.1 Biomedical and Healthcare Systems -- 1.4.2 Next-Generation Air Transportation Systems and Smart Cars -- 1.4.3 Renewable Energy and Smart Grid -- 1.4.4 Cyber Manufacturing System -- 1.4.5 CPS Security -- 1.5 Conclusion -- References 2. Enhancement of the Healthcare Sector and the Medical Cyber-Physical System with the Help of Blockchain Technology -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Data Analysis -- 2.4 Proposed Model Theory -- 2.5 Required Software -- 2.6 Design Flow and Architecture Design -- 2.7 Implementation and Working -- 2.7.1 Deploying Smart Contract on JavaScript Virtual Machine (VM) -- 2.7.2 Deploying a Smart Contract on a Rinkeby Environment -- 2.7.3 Deploying a Smart Contract on a Ganache Blockchain Using Web3 Provider -- 2.8 Conclusion -- 2.9 Future Research Directions -- References 3. Applications of Cyber-Physical Systems for Industry 4.0: A Comprehensive Review -- 3.1 Introduction: Industry 4.0 and the Cyber-Physical System -- 3.2 Industry 4.0 -- 3.2.1 Benefits of Industry 4.0 -- 3.3 Cyber-Physical System (CPS) -- 3.3.1 Cyber-Physical Systems in Industry 4.0 -- 3.3.2 Features of the CPS -- 3.3.3 CPS Architecture for Industry 4.0 -- 3.3.4 Need for the CPS in Industry 4.0 -- 3.4 Applications of the CPS in Industry -- 3.5 CPS-Enabled Use Cases -- 3.6 CPS in Health Care: A Case Study -- 3.6.1 Applications -- 3.6.2 Controlled -- 3.6.3 Architecture -- 3.6.3.1 Data Requirements 3.6.3.2 Composition -- 3.6.4 Sensing -- 3.6.4.1 Methods -- 3.6.4.2 Parameters -- 3.6.5 Data Management -- 3.6.5.1 Data Integration -- 3.6.5.2 Data Storage -- 3.6.5.3 Data Processing -- 3.6.6 Computation -- 3.6.6.1 Modeling -- 3.6.6.2 Monitoring -- 3.6.7 Communication -- 3.6.7.1 Scheduling -- 3.6.7.2 Protocols -- 3.6.8 Security -- 3.6.8.1 Privacy -- 3.6.8.2 Encryption -- 3.6.9 Control/Actuation -- 3.6.9.1 Decision Making -- 3.6.9.2 Mechanisms -- 3.7 Conclusion -- References -- 4. A Theoretical Framework for Deep Neural Networks over CPS: Vision, Application, Challenges -- 4.1 Introduction to CPS 4.2 Need for DL-Enabled CPS -- 4.3 Deep Learning Models -- 4.3.1 Feed Forward Neural Network -- 4.3.2 Convolutional Neural Network -- 4.3.3 Recurrent Neural Network -- 4.3.4 Autoencoders -- 4.3.5 Restricted Boltzmann Machines -- 4.3.6 Deep Belief Network -- 4.4 CPS with Deep Learning Components -- 4.4.1 CPS in Production -- 4.4.2 CPS in Health Care -- 4.4.3 CPS in Transportation -- 4.4.4 CPS in Farming -- 4.4.5 CPS in Buildings -- 4.5 Challenges in Establishing Deep Learning in the CPS -- 4.5.1 Data Management -- 4.5.2 Hyperparameter Tuning -- 4.5.3 Apprehension of DL Model |
| ctrlnum | (OCoLC)1310256002 (DE-599)BVBBV047916061 |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV047916061 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:32:09Z |
| institution | BVB |
| isbn | 9781000569445 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033297710 |
| oclc_num | 1310256002 |
| open_access_boolean | |
| owner | DE-1050 |
| owner_facet | DE-1050 |
| physical | 1 Online-Ressource (xii, 251 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Chapman and Hall/CRC cyber-physical systems |
| spelling | Cyber-physical systems a comprehensive guide edited by Nonita Sharma, L K Awasthi, Monika Mangla, K P Sharma, and Rohit Kumar First edition Boca Raton ; London ; New York CRC Press 2022 1 Online-Ressource (xii, 251 Seiten) txt rdacontent c rdamedia cr rdacarrier Chapman and Hall/CRC cyber-physical systems Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Applications of Artificial Intelligence in Cyber-Physical Systems -- 1.1 Introduction -- 1.2 Cyber-Physical System -- 1.3 Artificial Intelligence -- 1.4 Applications of Cyber-Physical Systems -- 1.4.1 Biomedical and Healthcare Systems -- 1.4.2 Next-Generation Air Transportation Systems and Smart Cars -- 1.4.3 Renewable Energy and Smart Grid -- 1.4.4 Cyber Manufacturing System -- 1.4.5 CPS Security -- 1.5 Conclusion -- References 2. Enhancement of the Healthcare Sector and the Medical Cyber-Physical System with the Help of Blockchain Technology -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Data Analysis -- 2.4 Proposed Model Theory -- 2.5 Required Software -- 2.6 Design Flow and Architecture Design -- 2.7 Implementation and Working -- 2.7.1 Deploying Smart Contract on JavaScript Virtual Machine (VM) -- 2.7.2 Deploying a Smart Contract on a Rinkeby Environment -- 2.7.3 Deploying a Smart Contract on a Ganache Blockchain Using Web3 Provider -- 2.8 Conclusion -- 2.9 Future Research Directions -- References 3. Applications of Cyber-Physical Systems for Industry 4.0: A Comprehensive Review -- 3.1 Introduction: Industry 4.0 and the Cyber-Physical System -- 3.2 Industry 4.0 -- 3.2.1 Benefits of Industry 4.0 -- 3.3 Cyber-Physical System (CPS) -- 3.3.1 Cyber-Physical Systems in Industry 4.0 -- 3.3.2 Features of the CPS -- 3.3.3 CPS Architecture for Industry 4.0 -- 3.3.4 Need for the CPS in Industry 4.0 -- 3.4 Applications of the CPS in Industry -- 3.5 CPS-Enabled Use Cases -- 3.6 CPS in Health Care: A Case Study -- 3.6.1 Applications -- 3.6.2 Controlled -- 3.6.3 Architecture -- 3.6.3.1 Data Requirements 3.6.3.2 Composition -- 3.6.4 Sensing -- 3.6.4.1 Methods -- 3.6.4.2 Parameters -- 3.6.5 Data Management -- 3.6.5.1 Data Integration -- 3.6.5.2 Data Storage -- 3.6.5.3 Data Processing -- 3.6.6 Computation -- 3.6.6.1 Modeling -- 3.6.6.2 Monitoring -- 3.6.7 Communication -- 3.6.7.1 Scheduling -- 3.6.7.2 Protocols -- 3.6.8 Security -- 3.6.8.1 Privacy -- 3.6.8.2 Encryption -- 3.6.9 Control/Actuation -- 3.6.9.1 Decision Making -- 3.6.9.2 Mechanisms -- 3.7 Conclusion -- References -- 4. A Theoretical Framework for Deep Neural Networks over CPS: Vision, Application, Challenges -- 4.1 Introduction to CPS 4.2 Need for DL-Enabled CPS -- 4.3 Deep Learning Models -- 4.3.1 Feed Forward Neural Network -- 4.3.2 Convolutional Neural Network -- 4.3.3 Recurrent Neural Network -- 4.3.4 Autoencoders -- 4.3.5 Restricted Boltzmann Machines -- 4.3.6 Deep Belief Network -- 4.4 CPS with Deep Learning Components -- 4.4.1 CPS in Production -- 4.4.2 CPS in Health Care -- 4.4.3 CPS in Transportation -- 4.4.4 CPS in Farming -- 4.4.5 CPS in Buildings -- 4.5 Challenges in Establishing Deep Learning in the CPS -- 4.5.1 Data Management -- 4.5.2 Hyperparameter Tuning -- 4.5.3 Apprehension of DL Model Cyber-physisches System (DE-588)1069505412 gnd rswk-swf Cyber-physisches System (DE-588)1069505412 s DE-604 Sharma, Nonita edt Awasthi, L. K. edt Mangla, Monika edt Sharma, K. P. edt Kumar, Rohit edt Erscheint auch als Online-Ausgabe 978-1-003-20275-2 Erscheint auch als Druck-Ausgabe, hbk 978-1-032-06546-5 Erscheint auch als Druck-Ausgabe, pbk 978-1-032-06548-9 |
| spellingShingle | Cyber-physical systems a comprehensive guide Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Editors -- Contributors -- 1. Applications of Artificial Intelligence in Cyber-Physical Systems -- 1.1 Introduction -- 1.2 Cyber-Physical System -- 1.3 Artificial Intelligence -- 1.4 Applications of Cyber-Physical Systems -- 1.4.1 Biomedical and Healthcare Systems -- 1.4.2 Next-Generation Air Transportation Systems and Smart Cars -- 1.4.3 Renewable Energy and Smart Grid -- 1.4.4 Cyber Manufacturing System -- 1.4.5 CPS Security -- 1.5 Conclusion -- References 2. Enhancement of the Healthcare Sector and the Medical Cyber-Physical System with the Help of Blockchain Technology -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Data Analysis -- 2.4 Proposed Model Theory -- 2.5 Required Software -- 2.6 Design Flow and Architecture Design -- 2.7 Implementation and Working -- 2.7.1 Deploying Smart Contract on JavaScript Virtual Machine (VM) -- 2.7.2 Deploying a Smart Contract on a Rinkeby Environment -- 2.7.3 Deploying a Smart Contract on a Ganache Blockchain Using Web3 Provider -- 2.8 Conclusion -- 2.9 Future Research Directions -- References 3. Applications of Cyber-Physical Systems for Industry 4.0: A Comprehensive Review -- 3.1 Introduction: Industry 4.0 and the Cyber-Physical System -- 3.2 Industry 4.0 -- 3.2.1 Benefits of Industry 4.0 -- 3.3 Cyber-Physical System (CPS) -- 3.3.1 Cyber-Physical Systems in Industry 4.0 -- 3.3.2 Features of the CPS -- 3.3.3 CPS Architecture for Industry 4.0 -- 3.3.4 Need for the CPS in Industry 4.0 -- 3.4 Applications of the CPS in Industry -- 3.5 CPS-Enabled Use Cases -- 3.6 CPS in Health Care: A Case Study -- 3.6.1 Applications -- 3.6.2 Controlled -- 3.6.3 Architecture -- 3.6.3.1 Data Requirements 3.6.3.2 Composition -- 3.6.4 Sensing -- 3.6.4.1 Methods -- 3.6.4.2 Parameters -- 3.6.5 Data Management -- 3.6.5.1 Data Integration -- 3.6.5.2 Data Storage -- 3.6.5.3 Data Processing -- 3.6.6 Computation -- 3.6.6.1 Modeling -- 3.6.6.2 Monitoring -- 3.6.7 Communication -- 3.6.7.1 Scheduling -- 3.6.7.2 Protocols -- 3.6.8 Security -- 3.6.8.1 Privacy -- 3.6.8.2 Encryption -- 3.6.9 Control/Actuation -- 3.6.9.1 Decision Making -- 3.6.9.2 Mechanisms -- 3.7 Conclusion -- References -- 4. A Theoretical Framework for Deep Neural Networks over CPS: Vision, Application, Challenges -- 4.1 Introduction to CPS 4.2 Need for DL-Enabled CPS -- 4.3 Deep Learning Models -- 4.3.1 Feed Forward Neural Network -- 4.3.2 Convolutional Neural Network -- 4.3.3 Recurrent Neural Network -- 4.3.4 Autoencoders -- 4.3.5 Restricted Boltzmann Machines -- 4.3.6 Deep Belief Network -- 4.4 CPS with Deep Learning Components -- 4.4.1 CPS in Production -- 4.4.2 CPS in Health Care -- 4.4.3 CPS in Transportation -- 4.4.4 CPS in Farming -- 4.4.5 CPS in Buildings -- 4.5 Challenges in Establishing Deep Learning in the CPS -- 4.5.1 Data Management -- 4.5.2 Hyperparameter Tuning -- 4.5.3 Apprehension of DL Model Cyber-physisches System (DE-588)1069505412 gnd |
| subject_GND | (DE-588)1069505412 |
| title | Cyber-physical systems a comprehensive guide |
| title_auth | Cyber-physical systems a comprehensive guide |
| title_exact_search | Cyber-physical systems a comprehensive guide |
| title_full | Cyber-physical systems a comprehensive guide edited by Nonita Sharma, L K Awasthi, Monika Mangla, K P Sharma, and Rohit Kumar |
| title_fullStr | Cyber-physical systems a comprehensive guide edited by Nonita Sharma, L K Awasthi, Monika Mangla, K P Sharma, and Rohit Kumar |
| title_full_unstemmed | Cyber-physical systems a comprehensive guide edited by Nonita Sharma, L K Awasthi, Monika Mangla, K P Sharma, and Rohit Kumar |
| title_short | Cyber-physical systems |
| title_sort | cyber physical systems a comprehensive guide |
| title_sub | a comprehensive guide |
| topic | Cyber-physisches System (DE-588)1069505412 gnd |
| topic_facet | Cyber-physisches System |
| work_keys_str_mv | AT sharmanonita cyberphysicalsystemsacomprehensiveguide AT awasthilk cyberphysicalsystemsacomprehensiveguide AT manglamonika cyberphysicalsystemsacomprehensiveguide AT sharmakp cyberphysicalsystemsacomprehensiveguide AT kumarrohit cyberphysicalsystemsacomprehensiveguide |