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The topics described in this book represent a groundbreaking exploration of the synergistic relationship between digital twins, simulation, and the metaverse, as well as their transformative impact across various sectors. In addition to presenting theoretical discussions and experimental findings, this book focuses on real-life applications and illuminates the path for future research. This makes it a must-read for both industry and academia keen on understanding and harnessing the power of the emerging technologies.
Topics and features:
Discover from top thought leaders the predictions of how digital twins, simulation, and metaverses will evolve in direction, requirements, and capabilities
Exploit the understanding of how digital-twin metaverses will revolutionize the effectiveness and efficiency of 21st-century work
Explore cutting-edge, real-life applications of digital twins, simulation, and the metaverse (spanning a diverse array of industries and sectors)
Understand the different views and perspectives of digital twins and metaverses shared by academia, industry, and government authors from around the world
Learn how to harness the power of simulation in the world of digital twins and metaverses
This unique volume consists of works from internationally renowned experts representing a diverse array of industries and sectors. It will be eminently suitable for researchers and practitioners working on modeling and simulation, digital twins, and the metaverse. Furthermore, this volume will serve as a valuable reference for executives and decision makers who are looking to leverage these cutting-edge technologies to expand their businesses, develop industrial and national strategies, and support future missions.
The topics described in this book represent a groundbreaking exploration of the synergistic relationship between digital twins, simulation, and the metaverse, as well as their transformative impact across various sectors. In addition to presenting theoretical discussions and experimental findings, this book focuses on real-life applications and illuminates the path for future research. This makes it a must-read for both industry and academia keen on understanding and harnessing the power of the emerging technologies.
Topics and features:
Discover from top thought leaders the predictions of how digital twins, simulation, and metaverses will evolve in direction, requirements, and capabilities
Exploit the understanding of how digital-twin metaverses will revolutionize the effectiveness and efficiency of 21st-century work
Explore cutting-edge, real-life applications of digital twins, simulation, and the metaverse (spanning a diverse array of industries and sectors)
Understand the different views and perspectives of digital twins and metaverses shared by academia, industry, and government authors from around the world
Learn how to harness the power of simulation in the world of digital twins and metaverses
This unique volume consists of works from internationally renowned experts representing a diverse array of industries and sectors. It will be eminently suitable for researchers and practitioners working on modeling and simulation, digital twins, and the metaverse. Furthermore, this volume will serve as a valuable reference for executives and decision makers who are looking to leverage these cutting-edge technologies to expand their businesses, develop industrial and national strategies, and support future missions.
Dr. Michael Grieves is an internationally renowned expert on digital twins, a concept he originated, with over five decades of executive and technical experience in both global and entrepreneurial technology and manufacturing companies. He has consulted and done research at some of the top global organizations (NASA, Boeing, GM) and has served as a senior executive at both Fortune 1000 companies and entrepreneurial organizations. Dr. Grieves has held academic appointments including University of Michigan, Purdue University, University of Iowa, and Florida Tech.
Dr. Grieves is a frequent keynote speaker globally. He was the keynote speaker for ANNSIM and the Holst Memorial Award speaker in 2022. Dr. Grieves has a BSCE from Michigan State, an MBA from Oakland University, and doctorate from Case Western Reserve University.
Edward Y. Hua is a Lead Modeling & Simulation Engineer at the MITRE Corporation. He currently serves as the Digital Twins Simulation Engineering Tech Area Lead at MITRE's Department of Simulation, Experimentation, and Gaming. In this capacity, he identifies the current tools, capabilities, and experiences related to digital wins that MITRE possesses, and develops collaborative project opportunities with academia, government, and industry.
Dr. Hua received his Ph.D. from the Department of Electrical and Computer Engineering, Cornell University. He also obtained his Master of Engineering degree from Princeton University, and B.S.E.E. from University of California, Irvine. He is a member of INFORMS. His research interests include digital twins, simulation and AI, and wireless networks.
1. Application of digital twins in manufacturing.- 2. Digital twins for advanced manufacturing.- 3. On the importance of simulation as an essential part of a digital twin for industrial applications.- 4. Digital Twins for Smart Production Planning and Control.- 5. A formal framework for digital twin modeling, verification & validation.- 6. Human Digital Twins: Understanding Performance of Humans Situated in Real-World Environments.- 7. Reinforcement Learning for Digital Twins.
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
viii
446 S. 13 s/w Illustr. 149 farbige Illustr. 446 p. 162 illus. 149 illus. in color. |
| ISBN-13: | 9783031691065 |
| ISBN-10: | 3031691067 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Redaktion: |
Hua, Edward Y.
Grieves, Michael |
| Herausgeber: | Michael Grieves/Edward Y Hua |
| Hersteller: |
Springer Nature Switzerland
Springer International Publishing |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 29 mm |
| Von/Mit: | Edward Y. Hua (u. a.) |
| Erscheinungsdatum: | 26.10.2024 |
| Gewicht: | 0,929 kg |
Dr. Michael Grieves is an internationally renowned expert on digital twins, a concept he originated, with over five decades of executive and technical experience in both global and entrepreneurial technology and manufacturing companies. He has consulted and done research at some of the top global organizations (NASA, Boeing, GM) and has served as a senior executive at both Fortune 1000 companies and entrepreneurial organizations. Dr. Grieves has held academic appointments including University of Michigan, Purdue University, University of Iowa, and Florida Tech.
Dr. Grieves is a frequent keynote speaker globally. He was the keynote speaker for ANNSIM and the Holst Memorial Award speaker in 2022. Dr. Grieves has a BSCE from Michigan State, an MBA from Oakland University, and doctorate from Case Western Reserve University.
Edward Y. Hua is a Lead Modeling & Simulation Engineer at the MITRE Corporation. He currently serves as the Digital Twins Simulation Engineering Tech Area Lead at MITRE's Department of Simulation, Experimentation, and Gaming. In this capacity, he identifies the current tools, capabilities, and experiences related to digital wins that MITRE possesses, and develops collaborative project opportunities with academia, government, and industry.
Dr. Hua received his Ph.D. from the Department of Electrical and Computer Engineering, Cornell University. He also obtained his Master of Engineering degree from Princeton University, and B.S.E.E. from University of California, Irvine. He is a member of INFORMS. His research interests include digital twins, simulation and AI, and wireless networks.
1. Application of digital twins in manufacturing.- 2. Digital twins for advanced manufacturing.- 3. On the importance of simulation as an essential part of a digital twin for industrial applications.- 4. Digital Twins for Smart Production Planning and Control.- 5. A formal framework for digital twin modeling, verification & validation.- 6. Human Digital Twins: Understanding Performance of Humans Situated in Real-World Environments.- 7. Reinforcement Learning for Digital Twins.
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
viii
446 S. 13 s/w Illustr. 149 farbige Illustr. 446 p. 162 illus. 149 illus. in color. |
| ISBN-13: | 9783031691065 |
| ISBN-10: | 3031691067 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Redaktion: |
Hua, Edward Y.
Grieves, Michael |
| Herausgeber: | Michael Grieves/Edward Y Hua |
| Hersteller: |
Springer Nature Switzerland
Springer International Publishing |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 29 mm |
| Von/Mit: | Edward Y. Hua (u. a.) |
| Erscheinungsdatum: | 26.10.2024 |
| Gewicht: | 0,929 kg |
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