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Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Autore Cardin Olivier
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2022
Descrizione fisica 1 online resource (348 pages)
Disciplina 629.8
Altri autori (Persone) DerigentWilliam
TrentesauxDamien
Soggetto topico Cooperating objects (Computer systems)
Soggetto non controllato Computer Engineering
Cloud Computing
Computer Science
Computers
ISBN 1-119-98741-5
1-119-98742-3
1-119-98740-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Introduction -- PART 1: Conceptualizing Industrial Cyber-Physical Systems -- 1. General Concepts -- 1.1. Industry at the heart of society -- 1.2. Industrial world in search of a new model -- 1.3. Cyber-physical systems -- 1.4. From cyber-physical systems to industrial cyber-physical systems -- 1.5. Perspectives on the study of industrial cyber-physical systems -- 1.6. References -- 2. Moving Towards a Sustainable Model: Societal, Economic and Environmental -- 2.1. Industry of the future and sustainable development -- 2.2. Contribution of ICPS to the social dimension -- 2.2.1. Background -- 2.2.2. Cognitive aspects -- 2.2.3. Health and safety aspects at work -- 2.3. Contribution of ICPS to the environmental dimension -- 2.3.1. Objectives and expectations -- 2.3.2. Example of application -- 2.4. Contribution of ICPS to the economic dimension -- 2.5. Conclusion -- 2.6. References -- PART 2: Sensing and Distributing Information Within Industrial Cyber-Physical Systems -- 3. Information Flow in Industrial Cyber-Physical Systems -- 3.1. Introduction -- 3.2. Information and decision loops when using an ICPS -- 3.3. Decision-making processes within the loops of an ICPS -- 3.3.1. Nature of decision-making processes -- 3.3.2. Nature of information -- 3.3.3. Approach to studying the informational loops of the cyber part of an ICPS -- 3.4. Elements for the implementation of loops -- 3.4.1. Generic architecture -- 3.4.2. Link to decision-making processes and the nature of the information -- 3.5. Illustrative examples -- 3.5.1. Example from rail transport -- 3.5.2. Example from the manufacturing sector -- 3.6. Conclusion -- 3.7. References -- 4. The Intelligent Product Concept -- 4.1. The intelligent product, a leading-edge concept in industrial cyber-physical systems.
4.2. Definitions of the intelligent product concept -- 4.3. Developments in the concept of intelligent products -- 4.3.1. Group 1: product-driven systems (PDS) -- 4.3.2. Group 2: product lifecycle information management (PLIM) -- 4.4. Conclusions and perspectives on the intelligent product -- 4.5. References -- PART 3: Digitalizing at the Service of Industrial Cyber-Physical Systems -- 5. Virtualizing Resources, Products and the Information System -- 5.1. Virtualization - the technology for industrial cyber-physical systems -- 5.2. Virtualization in the industrial environment -- 5.3. Shop floor virtualization of resource and product workloads -- 5.3.1. Resource and product virtualization through shop floor profiles -- 5.3.2. Virtualization of collaborative product and resource workloads -- 5.4. MES virtualization in the cloud (vMES) -- 5.5. Perspectives offered by virtualization to industry of the future -- 5.6. References -- 6. Cybersecurity of Industrial Cyber-Physical Systems -- 6.1. What are the risks involved? -- 6.1.1. Unavailability of systems -- 6.1.2. Loss of confidentiality or integrity -- 6.1.3. Bypassing access and authentication controls -- 6.2. What means of protection? -- 6.2.1. Ensuring availability -- 6.2.2. Ensuring confidentiality -- 6.2.3. Implementing authentication mechanisms -- 6.2.4. Controlling access, permissions and logging -- 6.3. Conclusion -- 6.4. References -- PART 4: Controlling Industrial Cyber-Physical Systems -- 7. Industrial Agents: From the Holonic Paradigm to Industrial Cyber-Physical Systems -- 7.1. Overview of multi-agent systems and holonics -- 7.1.1. Multi-agent systems -- 7.1.2. Holonic paradigm -- 7.2. Industrial agents -- 7.2.1. Definition and characteristics -- 7.2.2. Interfacing with physical assets -- 7.3. Industrial agents for realizing industrial cyber-physical systems.
7.3.1. Supporting the development of intelligent products, machines and systems within cyber-physical systems -- 7.3.2. Implementing an industrial multi-agent system as ICPS -- 7.4. Discussion and future directions -- 7.5. References -- 8. Holonic Control Architectures -- 8.1. Introduction -- 8.2. HCA fundamentals -- 8.3. HCAs in the physical part of ICPS -- 8.4. Dynamic architectures, towards a reconfiguration of the physical part from the cyber part of ICPS -- 8.5. HCAs and Big Data -- 8.6. HCAs and digital twin: towards the digitization of architectures -- 8.7. References -- PART 5: Learning and Interacting with Industrial Cyber-Physical Systems -- 9. Big Data Analytics and Machine Learning for Industrial Cyber-Physical Systems -- 9.1. Introduction -- 9.2. Data massification in industrial cyber-physical systems -- 9.3. Big Data and multi-relational data mining (MRDM) -- 9.3.1. Formal concept analysis (FCA) -- 9.3.2. Relational concept analysis (RCA) -- 9.4. Machine learning -- 9.4.1. Basics of machine learning -- 9.4.2. Multilayer perceptron (MLP) -- 9.5. Illustrative example -- 9.6. Conclusion -- 9.7. References -- 10. Human-Industrial Cyber-Physical System Integration: Design and Evaluation Methods -- 10.1. Introduction -- 10.2. Design methods -- 10.3. Method of integrating HICPS -- 10.3.1. Descending phase -- 10.3.2. Ascending phase -- 10.4. Summary and conclusion -- 10.5. References -- PART 6: Transforming Industries with Industrial Cyber-Physical Systems -- 11. Impact of Industrial Cyber-Physical Systems on Reconfigurable Manufacturing Systems -- 11.1. Context -- 11.1.1. Developments -- 11.1.2. Issues -- 11.1.3. Resources -- 11.2. Reconfiguration -- 11.2.1. Implementation and decision levels -- 11.2.2. Information systems -- 11.2.3. Adaptation in the context of CPPS/RMS -- 11.2.4. Where and when to reconfigure? -- 11.3. Modeling.
11.3.1. Data collection -- 11.3.2. Simulation platforms -- 11.4. Ergonomics/cognitive aspects -- 11.5. Operation of the information system -- 11.5.1. Operational level: procurement -- 11.5.2. Responding to disruptions -- 11.5.3. Decision support -- 11.6. Illustrative example -- 11.7. References -- 12. Impact of Industrial Cyber-Physical Systems on Global and Interconnected Logistics -- 12.1. Logistics and its challenges -- 12.2. Contemporary logistics systems and organizations -- 12.2.1. Intra-site logistics -- 12.2.2. Intra-urban logistics -- 12.2.3. Inter-site inter-city logistics -- 12.3. The Physical Internet as a modern and promising logistics organization -- 12.3.1. Concept and definition -- 12.3.2. Topologies of networks of networks -- 12.4. Perspectives of ICPS applications in interconnected logistics: the example of the Physical Internet -- 12.4.1. Modeling the Physical Internet by ICPS: the example of routing -- 12.4.2. Exploiting ICPS: the data-driven approach and the digital twin-driven approach -- 12.5. Conclusion -- 12.6. References -- 13. Impact of Industrial Cyber-Physical Systems on Transportation -- 13.1. Introduction -- 13.1.1. Pull forces -- 13.1.2. Complexity factors of the transportation sector -- 13.1.3. Push forces -- 13.2. The impact of ICPS on transportation -- 13.3. Rail transportation service: an illustrative example -- 13.3.1. The physical space of SUPERFLO -- 13.3.2. The human fleet supervisor -- 13.3.3. The cyber space of SUPERFLO -- 13.3.4. Evaluation of the proposed model and industrial expectations -- 13.4. Concluding remarks -- 13.5. Acknowledgments -- 13.6. References -- 14. Impacts of Industrial Cyber-Physical Systems on the Building Trades -- 14.1. General introduction -- 14.2. The place of BIM in Construction 4.0 -- 14.3. Examples of transformations in the construction sector.
14.3.1. Control: real-time site management -- 14.3.2. Learning and interacting: virtual reality and machine learning -- 14.3.3. Capturing and distributing: use of wireless technologies (RFID and WSN) -- 14.3.4. Digitalizing: digitalizing technologies for BIM -- 14.4. Example of ICPS in construction -- 14.5. Achieving the digital transformation of businesses -- 14.6. References -- 15. Impact of Industrial Cyber-Physical Systems on the Health System -- 15.1. Introduction -- 15.1.1. The health system and its specificities -- 15.1.2. The digital evolution of healthcare production and health -- 15.2. HCPS in the literature -- 15.2.1. HCPS for medical monitoring -- 15.2.2. HCPS for well-being and prevention -- 15.2.3. HCPS for organizational monitoring of patient pathways -- 15.2.4. Sensors for monitoring patients and resources -- 15.3. The contribution of a digital twin in an HCPS -- 15.3.1. General principle of digital twins in health -- 15.3.2. A proposal for an HCPS based on a digital twin of patient pathways in the hospital -- 15.4. Conclusion -- 15.5. References -- PART 7: Envisioning the Industrial Cyber-Physical Systems of the Future -- 16. Ethics and Responsibility of Industrial Cyber-Physical Systems -- 16.1. Introduction -- 16.2. Ethics and ICPS -- 16.2.1. Data management and protection -- 16.2.2. Control in the design of algorithms -- 16.3. Liability and ICPS -- 16.3.1. Existing liability regimes applied to ICPS -- 16.3.2. Proposals for changes in liability regimes -- 16.4. References -- 17. Teaching and Learning ICPS: Lessons Learned and Best Practices -- 17.1. Introduction -- 17.2. University of Warwick - Bachelor-level curriculum -- 17.2.1. ICPS education: Fusion of computer science and engineering -- 17.2.2. Key enabling technologies in the ICPS curriculum -- 17.2.3. Pedagogical principles: teaching ICPS modules.
17.3. University of Applied Sciences Emden/Leer - master's-level curriculum.
Record Nr. UNINA-9910830124403321
Cardin Olivier  
Newark : , : John Wiley & Sons, Incorporated, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Digitalization and Control of Industrial Cyber-Physical Systems : Concepts, Technologies and Applications
Autore Cardin Olivier
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2022
Descrizione fisica 1 online resource (348 pages)
Disciplina 629.8
Altri autori (Persone) DerigentWilliam
TrentesauxDamien
Soggetto topico Cooperating objects (Computer systems)
Soggetto non controllato Computer Engineering
Cloud Computing
Computer Science
Computers
ISBN 1-119-98741-5
1-119-98742-3
1-119-98740-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Introduction -- PART 1: Conceptualizing Industrial Cyber-Physical Systems -- 1. General Concepts -- 1.1. Industry at the heart of society -- 1.2. Industrial world in search of a new model -- 1.3. Cyber-physical systems -- 1.4. From cyber-physical systems to industrial cyber-physical systems -- 1.5. Perspectives on the study of industrial cyber-physical systems -- 1.6. References -- 2. Moving Towards a Sustainable Model: Societal, Economic and Environmental -- 2.1. Industry of the future and sustainable development -- 2.2. Contribution of ICPS to the social dimension -- 2.2.1. Background -- 2.2.2. Cognitive aspects -- 2.2.3. Health and safety aspects at work -- 2.3. Contribution of ICPS to the environmental dimension -- 2.3.1. Objectives and expectations -- 2.3.2. Example of application -- 2.4. Contribution of ICPS to the economic dimension -- 2.5. Conclusion -- 2.6. References -- PART 2: Sensing and Distributing Information Within Industrial Cyber-Physical Systems -- 3. Information Flow in Industrial Cyber-Physical Systems -- 3.1. Introduction -- 3.2. Information and decision loops when using an ICPS -- 3.3. Decision-making processes within the loops of an ICPS -- 3.3.1. Nature of decision-making processes -- 3.3.2. Nature of information -- 3.3.3. Approach to studying the informational loops of the cyber part of an ICPS -- 3.4. Elements for the implementation of loops -- 3.4.1. Generic architecture -- 3.4.2. Link to decision-making processes and the nature of the information -- 3.5. Illustrative examples -- 3.5.1. Example from rail transport -- 3.5.2. Example from the manufacturing sector -- 3.6. Conclusion -- 3.7. References -- 4. The Intelligent Product Concept -- 4.1. The intelligent product, a leading-edge concept in industrial cyber-physical systems.
4.2. Definitions of the intelligent product concept -- 4.3. Developments in the concept of intelligent products -- 4.3.1. Group 1: product-driven systems (PDS) -- 4.3.2. Group 2: product lifecycle information management (PLIM) -- 4.4. Conclusions and perspectives on the intelligent product -- 4.5. References -- PART 3: Digitalizing at the Service of Industrial Cyber-Physical Systems -- 5. Virtualizing Resources, Products and the Information System -- 5.1. Virtualization - the technology for industrial cyber-physical systems -- 5.2. Virtualization in the industrial environment -- 5.3. Shop floor virtualization of resource and product workloads -- 5.3.1. Resource and product virtualization through shop floor profiles -- 5.3.2. Virtualization of collaborative product and resource workloads -- 5.4. MES virtualization in the cloud (vMES) -- 5.5. Perspectives offered by virtualization to industry of the future -- 5.6. References -- 6. Cybersecurity of Industrial Cyber-Physical Systems -- 6.1. What are the risks involved? -- 6.1.1. Unavailability of systems -- 6.1.2. Loss of confidentiality or integrity -- 6.1.3. Bypassing access and authentication controls -- 6.2. What means of protection? -- 6.2.1. Ensuring availability -- 6.2.2. Ensuring confidentiality -- 6.2.3. Implementing authentication mechanisms -- 6.2.4. Controlling access, permissions and logging -- 6.3. Conclusion -- 6.4. References -- PART 4: Controlling Industrial Cyber-Physical Systems -- 7. Industrial Agents: From the Holonic Paradigm to Industrial Cyber-Physical Systems -- 7.1. Overview of multi-agent systems and holonics -- 7.1.1. Multi-agent systems -- 7.1.2. Holonic paradigm -- 7.2. Industrial agents -- 7.2.1. Definition and characteristics -- 7.2.2. Interfacing with physical assets -- 7.3. Industrial agents for realizing industrial cyber-physical systems.
7.3.1. Supporting the development of intelligent products, machines and systems within cyber-physical systems -- 7.3.2. Implementing an industrial multi-agent system as ICPS -- 7.4. Discussion and future directions -- 7.5. References -- 8. Holonic Control Architectures -- 8.1. Introduction -- 8.2. HCA fundamentals -- 8.3. HCAs in the physical part of ICPS -- 8.4. Dynamic architectures, towards a reconfiguration of the physical part from the cyber part of ICPS -- 8.5. HCAs and Big Data -- 8.6. HCAs and digital twin: towards the digitization of architectures -- 8.7. References -- PART 5: Learning and Interacting with Industrial Cyber-Physical Systems -- 9. Big Data Analytics and Machine Learning for Industrial Cyber-Physical Systems -- 9.1. Introduction -- 9.2. Data massification in industrial cyber-physical systems -- 9.3. Big Data and multi-relational data mining (MRDM) -- 9.3.1. Formal concept analysis (FCA) -- 9.3.2. Relational concept analysis (RCA) -- 9.4. Machine learning -- 9.4.1. Basics of machine learning -- 9.4.2. Multilayer perceptron (MLP) -- 9.5. Illustrative example -- 9.6. Conclusion -- 9.7. References -- 10. Human-Industrial Cyber-Physical System Integration: Design and Evaluation Methods -- 10.1. Introduction -- 10.2. Design methods -- 10.3. Method of integrating HICPS -- 10.3.1. Descending phase -- 10.3.2. Ascending phase -- 10.4. Summary and conclusion -- 10.5. References -- PART 6: Transforming Industries with Industrial Cyber-Physical Systems -- 11. Impact of Industrial Cyber-Physical Systems on Reconfigurable Manufacturing Systems -- 11.1. Context -- 11.1.1. Developments -- 11.1.2. Issues -- 11.1.3. Resources -- 11.2. Reconfiguration -- 11.2.1. Implementation and decision levels -- 11.2.2. Information systems -- 11.2.3. Adaptation in the context of CPPS/RMS -- 11.2.4. Where and when to reconfigure? -- 11.3. Modeling.
11.3.1. Data collection -- 11.3.2. Simulation platforms -- 11.4. Ergonomics/cognitive aspects -- 11.5. Operation of the information system -- 11.5.1. Operational level: procurement -- 11.5.2. Responding to disruptions -- 11.5.3. Decision support -- 11.6. Illustrative example -- 11.7. References -- 12. Impact of Industrial Cyber-Physical Systems on Global and Interconnected Logistics -- 12.1. Logistics and its challenges -- 12.2. Contemporary logistics systems and organizations -- 12.2.1. Intra-site logistics -- 12.2.2. Intra-urban logistics -- 12.2.3. Inter-site inter-city logistics -- 12.3. The Physical Internet as a modern and promising logistics organization -- 12.3.1. Concept and definition -- 12.3.2. Topologies of networks of networks -- 12.4. Perspectives of ICPS applications in interconnected logistics: the example of the Physical Internet -- 12.4.1. Modeling the Physical Internet by ICPS: the example of routing -- 12.4.2. Exploiting ICPS: the data-driven approach and the digital twin-driven approach -- 12.5. Conclusion -- 12.6. References -- 13. Impact of Industrial Cyber-Physical Systems on Transportation -- 13.1. Introduction -- 13.1.1. Pull forces -- 13.1.2. Complexity factors of the transportation sector -- 13.1.3. Push forces -- 13.2. The impact of ICPS on transportation -- 13.3. Rail transportation service: an illustrative example -- 13.3.1. The physical space of SUPERFLO -- 13.3.2. The human fleet supervisor -- 13.3.3. The cyber space of SUPERFLO -- 13.3.4. Evaluation of the proposed model and industrial expectations -- 13.4. Concluding remarks -- 13.5. Acknowledgments -- 13.6. References -- 14. Impacts of Industrial Cyber-Physical Systems on the Building Trades -- 14.1. General introduction -- 14.2. The place of BIM in Construction 4.0 -- 14.3. Examples of transformations in the construction sector.
14.3.1. Control: real-time site management -- 14.3.2. Learning and interacting: virtual reality and machine learning -- 14.3.3. Capturing and distributing: use of wireless technologies (RFID and WSN) -- 14.3.4. Digitalizing: digitalizing technologies for BIM -- 14.4. Example of ICPS in construction -- 14.5. Achieving the digital transformation of businesses -- 14.6. References -- 15. Impact of Industrial Cyber-Physical Systems on the Health System -- 15.1. Introduction -- 15.1.1. The health system and its specificities -- 15.1.2. The digital evolution of healthcare production and health -- 15.2. HCPS in the literature -- 15.2.1. HCPS for medical monitoring -- 15.2.2. HCPS for well-being and prevention -- 15.2.3. HCPS for organizational monitoring of patient pathways -- 15.2.4. Sensors for monitoring patients and resources -- 15.3. The contribution of a digital twin in an HCPS -- 15.3.1. General principle of digital twins in health -- 15.3.2. A proposal for an HCPS based on a digital twin of patient pathways in the hospital -- 15.4. Conclusion -- 15.5. References -- PART 7: Envisioning the Industrial Cyber-Physical Systems of the Future -- 16. Ethics and Responsibility of Industrial Cyber-Physical Systems -- 16.1. Introduction -- 16.2. Ethics and ICPS -- 16.2.1. Data management and protection -- 16.2.2. Control in the design of algorithms -- 16.3. Liability and ICPS -- 16.3.1. Existing liability regimes applied to ICPS -- 16.3.2. Proposals for changes in liability regimes -- 16.4. References -- 17. Teaching and Learning ICPS: Lessons Learned and Best Practices -- 17.1. Introduction -- 17.2. University of Warwick - Bachelor-level curriculum -- 17.2.1. ICPS education: Fusion of computer science and engineering -- 17.2.2. Key enabling technologies in the ICPS curriculum -- 17.2.3. Pedagogical principles: teaching ICPS modules.
17.3. University of Applied Sciences Emden/Leer - master's-level curriculum.
Record Nr. UNINA-9910876817703321
Cardin Olivier  
Newark : , : John Wiley & Sons, Incorporated, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Managing Distributed Cloud Applications and Infrastructure : A Self-Optimising Approach / / edited by Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis
Managing Distributed Cloud Applications and Infrastructure : A Self-Optimising Approach / / edited by Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis
Autore Lynn Theo
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XXIII, 163 p. 62 illus.)
Disciplina 658.514
658.872
Collana Palgrave Studies in Digital Business & Enabling Technologies
Soggetto topico Management
Industrial management
E-commerce
Computer engineering
Innovation/Technology Management
e-Commerce/e-business
Computer Engineering
Soggetto non controllato Innovation/Technology Management
e-Commerce/e-business
Computer Engineering
Business and Management
e-Commerce and e-Business
Computer Hardware
Analytics Models
Data Acquisition
Application Optimisation
Infrastructure
Distributed Clouds
digital business
Research & development management
Industrial applications of scientific research & technological innovation
Business applications
E-commerce: business aspects
Computer science
ISBN 3-030-39863-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 -- Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds -- Chapter 2 -- RECAP Data Acquisition and Analytics Methodology -- Chapter 3 - Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications -- Chapter 4 - Application Placement and Infrastructure Optimisation -- Chapter 5 - Simulating Across the Cloud-to-Edge Continuum -- Chapter 6 - Case Studies in Application Placement and Infrastructure Optimisation.
Record Nr. UNINA-9910412147503321
Lynn Theo  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Special topics in information technology / / editor, Luigi Piroddi
Special topics in information technology / / editor, Luigi Piroddi
Autore Piroddi Luigi
Pubbl/distr/stampa Springer Nature, 2022
Descrizione fisica 1 online resource (viii, 152 pages) : illustrations (some color)
Altri autori (Persone) PiroddiLuigi
Collana SpringerBriefs in applied sciences and technology
Soggetto topico Information technology
Soggetto non controllato Electronics
Bioengineering
Information Technology
Computer Engineering
Open Access
ISBN 3-030-85918-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910514183403321
Piroddi Luigi  
Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Special Topics in Information Technology / / edited by Carlo G. Riva
Special Topics in Information Technology / / edited by Carlo G. Riva
Autore Riva Carlo G
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, : Springer Nature, 2023
Descrizione fisica 1 online resource (VIII, 152 p. 54 illus., 42 illus. in color.)
Disciplina 621.3
Collana PoliMI SpringerBriefs
Soggetto topico Electrical engineering
Biomedical engineering
Computer engineering
Computer networks
Electrical and Electronic Engineering
Biomedical Engineering and Bioengineering
Computer Engineering and Networks
Soggetto non controllato Electronics
Bioengineering
Computer Engineering
Politecnico di Milano
ISBN 3-031-15374-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910624353503321
Riva Carlo G  
Cham, : Springer Nature, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui