Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber-Physical Systems |
Autore | Törngren Martin |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (232 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
component-based software engineering
mode mode-switch complexity cyber-physical systems systems engineering uncertainty microgrid distributed design self-similar architecture plug-n-play distributed control distribution network field test autonomous cyber-physical systems resilience ethics nano-bio-info-cogno technologies smart cyber-physical systems self-generated intelligence ampliative reasoning mechanism procedural abduction data-driven system control run-time acquired data computational functions self-adaptation capability human/socially-centered applications embedded systems software component component-based development CBD GPU GPU component allocation component allocation architecture layer time-triggered system real-time adaptation scheduling multi-core real-time systems Fixed-Priority Preemptive Scheduling (FPPS) mixed-criticality systems Cyber Physical Systems Reactive Systems Model-Based Design Embedded Systems Automatic Code Generation IDE Internet of Things model testing mutation testing energy consumption EAST-ADL |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557582003321 |
Törngren Martin | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Digital twins : basics and applications / / Zhihan Lv, Elena Fersman, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (102 pages) |
Disciplina | 003.3 |
Soggetto topico | Digital twins (Computer simulation) |
ISBN | 3-031-11401-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Contents -- Digital Twins Architecture -- 1 Why to Talk About Digital Twins? -- 2 The Main Digital Twin's Components -- 2.1 Physical System (PS) -- 2.2 Virtual System (VS) -- 2.3 Systems Data (SD) -- 2.4 Communication Interface (CI) -- 3 Is This a Digital Twin? -- 4 Practical Case Studies -- 4.1 Case Study I -- 4.2 Case Study II -- References -- Digital Twins for Physical Asset Lifecycle Management -- 1 Introduction -- 2 Digital Twin Asset Lifecycle Management (DTALM) -- 3 Digital Twin Essence -- 4 Digital Twin Systems -- 4.1 Physical Domain -- 4.2 Digital Domain -- 4.3 Physics-Based Generative Models for Digital Twins -- 4.4 Advances in Parameter Identifiability -- 5 Data-Driven Digital Twins -- 5.1 Statistical Learning Models -- 5.2 Machine Learning Models -- 5.3 Deep Learning Models -- 5.4 Industrial Digital Twin Applications for PALM -- References -- Digital Twins and Additive Manufacturing -- 1 Additive Manufacturing -- 2 Digital Twins -- 3 DTs for AM Needs and Challenges -- 3.1 Real Time Monitoring -- 3.2 Database and Models -- 3.3 Machine Learning -- 3.4 Internet of Things -- 4 Conclusions and Outlook -- References -- Agricultural Digital Twins -- 1 The Digital Twins of Agriculture -- 2 Digital Twins Build Smart Farms -- 2.1 Artificial Intelligence Predicts Plant Growth -- 2.2 Virtual Reality Simulation of 3D Digital Farm -- 2.3 Blockchain Technology Realizes Supply Chain Management -- 2.4 Problems that Still Exist in the Application of Digital Twins in the Agricultural Field -- 3 Conclusion -- References -- The Application of Digital Twins in the Field of Fashion -- 1 Digital Twins of Human Bodies -- 1.1 Virtual Human Models in Fashion Industry -- 1.2 Source Information for Generating Virtual Human Model -- 1.3 Tools for Virtual Body Model Digitalization -- 1.4 Virtual Fit Mannequin Generating -- 2 Digital Twins of Garment.
2.1 Structure of Virtual Fitting System -- 2.2 Generating Virtual Garment from Virtual Patterns -- 2.3 Generating Virtual Garment Directly on Virtual Human Model -- 3 Future Development -- References -- Digital Twins Collaboration in Industrial Manufacturing -- 1 Introduction -- 1.1 Contribution -- 1.2 Chapter Organization -- 2 Lightweight Framework of Digital Twins Collaboration for Industrial Manufacturing -- 2.1 Physical Layer -- 2.2 Digital Twins Layer -- 2.3 Industrial Technologies Layer -- 2.4 Application Layer -- 3 Digital Twins Collaboration in Industrial Manufacturing Use Cases -- 3.1 Energy Industry-Fault Diagnosis of Wind Turbines -- 3.2 Railway Industry-Predictive Maintenance -- 3.3 Logistics Industry-Dynamic Routing -- 4 Future Directions -- 4.1 Security and Privacy -- 4.2 Connectivity -- 4.3 Timing, Speed, and Response -- 4.4 Data Modelling -- 5 Conclusion -- References -- Social Media Perspectives on Digital Twins and the Digital Twins Maturity Model -- 1 Defining Digital Twins -- 2 Use of Social Media Analytics in Research -- 2.1 Social Media Analytics Methodology -- 2.2 Time Series Analysis of Tweets About Digital Twins -- 2.3 Unsupervised Clustering of the Digital Twin Tweets -- 2.4 Twitter Analysis by Industry -- 3 Background on Maturity Models -- 4 The Digital Twin Maturity Model -- 5 Conclusion and Future Work -- References. |
Record Nr. | UNISA-996499855103316 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Digital twins : basics and applications / / Zhihan Lv, Elena Fersman, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (102 pages) |
Disciplina | 003.3 |
Soggetto topico | Digital twins (Computer simulation) |
ISBN | 3-031-11401-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Contents -- Digital Twins Architecture -- 1 Why to Talk About Digital Twins? -- 2 The Main Digital Twin's Components -- 2.1 Physical System (PS) -- 2.2 Virtual System (VS) -- 2.3 Systems Data (SD) -- 2.4 Communication Interface (CI) -- 3 Is This a Digital Twin? -- 4 Practical Case Studies -- 4.1 Case Study I -- 4.2 Case Study II -- References -- Digital Twins for Physical Asset Lifecycle Management -- 1 Introduction -- 2 Digital Twin Asset Lifecycle Management (DTALM) -- 3 Digital Twin Essence -- 4 Digital Twin Systems -- 4.1 Physical Domain -- 4.2 Digital Domain -- 4.3 Physics-Based Generative Models for Digital Twins -- 4.4 Advances in Parameter Identifiability -- 5 Data-Driven Digital Twins -- 5.1 Statistical Learning Models -- 5.2 Machine Learning Models -- 5.3 Deep Learning Models -- 5.4 Industrial Digital Twin Applications for PALM -- References -- Digital Twins and Additive Manufacturing -- 1 Additive Manufacturing -- 2 Digital Twins -- 3 DTs for AM Needs and Challenges -- 3.1 Real Time Monitoring -- 3.2 Database and Models -- 3.3 Machine Learning -- 3.4 Internet of Things -- 4 Conclusions and Outlook -- References -- Agricultural Digital Twins -- 1 The Digital Twins of Agriculture -- 2 Digital Twins Build Smart Farms -- 2.1 Artificial Intelligence Predicts Plant Growth -- 2.2 Virtual Reality Simulation of 3D Digital Farm -- 2.3 Blockchain Technology Realizes Supply Chain Management -- 2.4 Problems that Still Exist in the Application of Digital Twins in the Agricultural Field -- 3 Conclusion -- References -- The Application of Digital Twins in the Field of Fashion -- 1 Digital Twins of Human Bodies -- 1.1 Virtual Human Models in Fashion Industry -- 1.2 Source Information for Generating Virtual Human Model -- 1.3 Tools for Virtual Body Model Digitalization -- 1.4 Virtual Fit Mannequin Generating -- 2 Digital Twins of Garment.
2.1 Structure of Virtual Fitting System -- 2.2 Generating Virtual Garment from Virtual Patterns -- 2.3 Generating Virtual Garment Directly on Virtual Human Model -- 3 Future Development -- References -- Digital Twins Collaboration in Industrial Manufacturing -- 1 Introduction -- 1.1 Contribution -- 1.2 Chapter Organization -- 2 Lightweight Framework of Digital Twins Collaboration for Industrial Manufacturing -- 2.1 Physical Layer -- 2.2 Digital Twins Layer -- 2.3 Industrial Technologies Layer -- 2.4 Application Layer -- 3 Digital Twins Collaboration in Industrial Manufacturing Use Cases -- 3.1 Energy Industry-Fault Diagnosis of Wind Turbines -- 3.2 Railway Industry-Predictive Maintenance -- 3.3 Logistics Industry-Dynamic Routing -- 4 Future Directions -- 4.1 Security and Privacy -- 4.2 Connectivity -- 4.3 Timing, Speed, and Response -- 4.4 Data Modelling -- 5 Conclusion -- References -- Social Media Perspectives on Digital Twins and the Digital Twins Maturity Model -- 1 Defining Digital Twins -- 2 Use of Social Media Analytics in Research -- 2.1 Social Media Analytics Methodology -- 2.2 Time Series Analysis of Tweets About Digital Twins -- 2.3 Unsupervised Clustering of the Digital Twin Tweets -- 2.4 Twitter Analysis by Industry -- 3 Background on Maturity Models -- 4 The Digital Twin Maturity Model -- 5 Conclusion and Future Work -- References. |
Record Nr. | UNINA-9910631094203321 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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