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ویرایش: نویسندگان: Enis Karaarslan, Ömer Aydin, Ümit Cali, Moharram Challenger سری: ISBN (شابک) : 9819902517, 9789819902514 ناشر: Springer سال نشر: 2023 تعداد صفحات: 347 [348] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 7 Mb
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در صورت تبدیل فایل کتاب Digital Twin Driven Intelligent Systems and Emerging Metaverse به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب سیستمهای هوشمند دوقلو دیجیتال و متاورس در حال ظهور نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب مفهوم دوقلو دیجیتال را پوشش میدهد، که این پتانسیل را دارد که نحوه اداره و تولید سیستمها را تغییر دهد. همچنین به متاورس به عنوان یک فناوری نوظهور می پردازد که ریشه در ادبیات، آواتارهای چند پلتفرمی و مسائل مربوط به امنیت سایبری مبتنی بر هوش مصنوعی دارد. پتانسیل استفاده نشده متاورس و دوقلوهای دیجیتال به عنوان فناوری های توانمند برای صنایع نسل بعدی در فصل های مختلف مورد تاکید قرار گرفته است. فناوری دوقلو دیجیتال به تولیدکنندگان این امکان را میدهد تا محصولات خود را در طول طراحی محصول بهتر درک کنند، شبیهسازی، ردیابی و بهینهسازی را در زمان واقعی یکپارچه کنند و به طور مناسب عملیات را تجزیه و تحلیل کنند. مخصوصاً برای محصولات یا سیستمهای پیچیده، آزمایش روی یک دوقلو دیجیتال کارآمدتر است (در دسترستر، سریعتر، کمتر مستعد خطا و هزینه کمتر). محصول قبل از نمایش در دنیای واقعی در نسخه مجازی خود بررسی می شود. علاوه بر این، دوقلو دیجیتال هزینه های عملیاتی را به حداقل می رساند و طول عمر تجهیزات و دارایی ها را افزایش می دهد. با افزایش طول عمر آن، کارایی کاری آن را نشان می دهند و افزایش می دهند. ممکن است هزینه های عملیاتی و مخارج سرمایه آتی را به حداقل برساند. ایده دوقلوی دیجیتال در حال تبدیل شدن به واقعیت است زیرا در چندین صنعت از جمله انرژی، تولید، ساخت و ساز، حمل و نقل، هوافضا، شهرهای هوشمند، مراقبت های بهداشتی، امنیت سایبری، مالی و کشاورزی استفاده می شود. کارشناسان دانشگاهی و صنعتی قانعکنندهترین موارد استفاده از دوقلوهای دیجیتال و متاورسها و چالشهای ذاتی در اجرای آنها را برجسته کردند. خوانندگانی که می خواهند سیستم های مؤثرتری بسازند، کتاب را مفید خواهند یافت. همچنین افرادی که می خواهند ایده و دیدگاهی در مورد اینکه فناوری چگونه زندگی ما را تغییر می دهد به دست آورند از این کتاب بهره خواهند برد.
This book covers the notion of the digital twin, which has the potential to alter the way systems are governed and manufactured. It also addresses the metaverse as an emerging technology with its roots in literature, cross-platform avatars, and artificial intelligence-oriented cybersecurity issues. The untapped potential of the metaverse and digital twins as enabling technologies for the next-generation industries is emphasized in various chapters. Digital twin technology enables manufacturers to comprehend their products throughout product design better, integrate simulation, tracking, and optimization in real-time, and appropriately analyze operations. Especially for complicated products or systems, testing on a digital twin is more efficient (more accessible, quicker, less error-prone, and less expensive). The product is examined in its virtual version before it is displayed in the actual world. Additionally, the digital twin minimizes operational expenses and increases the longevity of equipment and assets. By prolonging the life of the thing, they represent and enhance its working efficiency; it may minimize operating costs and prospective capital spending. The digital twin idea is becoming a reality as it has begun to be used in several industries, including energy, manufacturing, construction, transportation, aerospace, smart cities, healthcare, cyber security, finance, and agriculture. Academic and industrial experts highlighted the most compelling use cases of digital twins and metaverses and the challenges inherent in their implementation. Readers who want to make more effective systems will find the book useful. Also, people who want to get an idea and vision of how technology will change our lives will benefit from this book.
Foreword Contents Digital Twin Fundamentals The Digital Twin Case in the Technological Transformation Process: Research Articles, Academic Collaborations, and Topics 1 Introduction 2 Related Work 3 Methodology 3.1 Bibliometrics, Scientometrics, and Related Tools and Techniques 3.2 Preprocessing and Analysis 4 Results and Findings 4.1 Overview of the Studies 4.2 Authors 4.3 Sources and Top Articles 4.4 The Related Research Areas, Keywords, and Potential Topics 5 Conclusion References Towards Developing a Digital Twin for a Manufacturing Pilot Line: An Industrial Case Study 1 Introduction 1.1 Definitions of Digital Twins 1.2 Elements 1.3 Enabling Technology 1.4 Case Study 2 Related Work 2.1 Physical Systems 2.2 Data Management Technologies 2.3 Digital Twin Services 3 Physical Pair 3.1 Pilot Line 3.2 Process of Interest 3.3 Process Assessment 4 Data Management 4.1 Data Collection 4.2 Data Storage 5 Dashboard CATCH.AI 5.1 Catch.AI Overview 5.2 CATCH.AI Connection to Kafka 5.3 CATCH.AI Data Structure 5.4 CATCH.AI Data Access 5.5 CATCH.AI for External Services 6 Anomaly Detection Model 6.1 Product Quality Assessment 6.2 Detection Model 6.3 Experiments 7 Conclusion References An Architecture for Intelligent Agent-Based Digital Twin for Cyber-Physical Systems 1 Introduction 2 Related Work 3 Background 3.1 Intelligent Agents and Multi-agent System 3.2 Agent-Based Modeling and Simulation (ABMS) 3.3 Digital Twin and Key Concepts 3.4 Cyber-Physical Systems 4 The Proposed Architecture 4.1 General Overview 4.2 Main Components of the Architecture 5 Reference Implementation 5.1 Physical Asset 5.2 Digital Asset 5.3 Agent-Based CPS 5.4 Agent-Based Modeling and Simulation 5.5 Agent-Based Digital Twin 6 Case Study: Smart Inter Factory Logistics 7 Conclusion and Future Work References Sustainable Digital Twin Engineering for the Internet of Production 1 Introduction 2 Background 2.1 Digital Twins in Production 2.2 Model-Driven Engineering 2.3 Digital Shadows for Production 3 Challenges of Digital Twins 4 Sustainability and Digital Twins 5 Approaches for Sustainably Developed Digital Twins 5.1 Model-Driven Engineering of Self-adaptive Digital Twins 5.2 Generating Digital Twin Cockpits 5.3 Process Prediction as a Digital Twin Service 5.4 Low-Code Platforms for Model-Driven Digital Twins 5.5 Ontologies and Digital Twins 5.6 Assistive Services Within Digital Twins 5.7 Calibration and Adjustment of Simulation Models of Digital Twins 6 Related Work 7 Conclusion References Digital Twin Use Cases Fog-Connected Digital Twin Implementation for Autonomous Greenhouse Management 1 Introduction 2 Related Works 3 System Model 4 Experimental Study 4.1 System Setup and Method 4.2 Hardware Design 4.3 Network Architecture and Communication Protocol 4.4 Digital Twin Implementation 5 Conclusion References Digital Twin Applications for Smart and Connected Cities 1 Introduction 2 Digital Twin for City Planning 3 Digital Twin for Public Transportation 4 Digital Twin for Energy Management 5 Digital Twin for Public Healthcare 6 Digital Twin for Waste Management 7 Digital Twin for Sustainable Food and Water Security 8 Communication and Cybersecurity Aspects 9 Discussion and Observation 10 Summary References Digital Twin in Industry 4.0 and Beyond Applications 1 Introduction 2 Digitalization and Industry 4.0 3 Industry 4.0 Technologies 3.1 Artificial Intelligence 3.2 Internet of Things (IoT) 3.3 Distributed Ledger Technology 3.4 Cyber-Physical Systems (CPS) 3.5 Cybersecurity 3.6 5G and Beyond 3.7 Robotics and Autonomous Driving 3.8 Additive Manufacturing 4 Industry 4.0 Application Areas 4.1 Energy 4.2 Agriculture 4.3 Transportation 4.4 Healthcare 4.5 Manufacturing 4.6 Supply Chain 4.7 Facility Management 4.8 Smart Cities and Connected Communities 5 Discussion 6 Summary and Conclusion References Digital Twin and Manufacturing 1 Introduction 2 An Overview of Digital Twin 3 Digital Twin for Manufacturing 3.1 Product Design 3.2 Real-Time Monitoring 3.3 Quality Management 3.4 Predictive Maintenance 3.5 Production Planning 4 Digital Twin Applications in Manufacturing and Industry 5 Future Directions and Conclusion References Interoperable Digital Twin Solutions for Asset-Heavy Industry 1 Introduction 1.1 Challenges Associated with Digital Twin Implementations for Asset-Heavy Industry 1.2 Elementary Aspects of Industrial Digital Twins 1.3 Solution Framework 2 Interoperable Digital Twin Solutions Based on Asset Administration Shell 3 Scope of Asset-Heavy Industry 4 Development of Interoperable Digital Twins 4.1 Design of an Interoperable Digital Twin 4.2 Implementation of Asset Administration Shell 5 Experimental Case Study 5.1 Use Case 1: A Robot in a Shipyard 5.2 Use Case 2: A Power Train Control System in a Vessel 6 Conclusions and Recommendation References Digital Twin in Health Care 1 Background 2 Internal Medicine 3 Surgery 4 Intensive Care 5 Radiology 6 Geriatrics 7 Chest Diseases 8 Pathology 9 Dermatology 10 Eye Diseases 11 Cardiology 12 Gastroenterology 13 Psychiatry 14 Infection Epidemiology 15 Orthopedics 16 Neurology 17 Barriers to the Use of DTs in Healthcare Systems 18 Data Privacy 19 Ethical Issues 20 Human Factors and Other Issues 21 Conclusion References Digital Twin in Chronic Wound Management 1 Introduction 2 Digital Twin in Healthcare 3 Review of Chronic Wound Management 3.1 Types of Wounds and Tissues 3.2 Continuum of Wound Healing 3.3 Treatment Methods and Evaluation 4 Enabling Technologies 4.1 High-Performance Computing 4.2 Internet of Things 4.3 Artificial Intelligence 4.4 Edge and Fog Computing 4.5 Cloud Computing 4.6 Data Privacy Concerns and Privacy Enhanced Techniques for Electronic Health Records 4.7 Blockchain 4.8 Communication Networks 5 Chronic Wound Management System Using Digital Twin 5.1 Data Collection 5.2 Data Management 5.3 Analysis and Model Management 5.4 Digital Twin 6 Discussion 7 Summary and Conclusion References Digital Twin in Construction 1 Introduction 2 The Concept and Origin of DT 3 Level of Integration and DT Paradigm 4 The Technologies for Applying DT 5 DT Implementations in the Construction Sector 6 DT Application in the Life Cycle Phase of Construction Projects 6.1 Design and Engineering Phase 6.2 Construction Phase 6.3 Operation and Maintenance Phase 6.4 Deconstruction and Recovery Phase 7 DT for Construction 8 Value and Benefits 9 Conclusion and Limitations References An Interactive Digital Twin Platform for Offshore Wind Farms’ Development 1 Introduction 2 Digital Twins of Offshore Wind Farms 3 Development of an Interactive Digital Twin Platform 3.1 The Data Source Layer 3.2 The Simulation Layer 3.3 The Visualization Layer 3.4 The Communication Protocol 4 Experimental Case Study 4.1 Data Source 4.2 Simulation 4.3 Visualization 5 Interactive Digital Twin Based on Augmented Reality (AR) 6 Conclusions and Future Works References Digital Twin Applications in Spacecraft Protection 1 Introduction 2 Spacecraft Structure and Impact Dynamics 2.1 Structural Aspects of Spacecrafts 2.2 Impact Dynamics and Spacecraft Protection 3 Digital Twin Applications in Space Operations 3.1 What is Digital Twin 3.2 Digital Twins for Spacecraft Protection 4 Conclusion References Emerging Metaverse Context Before Technology: The Possible Utopian/Dystopian Elements of the Metaverse with Examples from Great Literature 1 Putting Metaverse on Its Pillars 1.1 Pillars of “Meta” 1.2 Pillars of the “VERSE” 2 What Will Get Built on Top of the Pillars? 3 Following the Breadcrumbs of Utopia and Dystopia to Metaverse 3.1 Snow Crash: The Nation-States and Corporations in the Metaverse 3.2 Ready Player One and Ready Player Two: The Connected Metaverse Where Living Becomes Fully Virtual 3.3 Brave New World: Is the Metaverse the New Soma? 3.4 Bringing in the Big Guns: What if Metaverse Becomes a Tool for Authoritarianism 3.5 The Ministry for the Future: “Coin”ization of the World Economy for Our Own Sake 3.6 Transition from Possession to Dispossession: What Does Ursula K. Le Guin Foresee? 4 Conclusion: The Questions that Breed More Questions References Cross-platform and Personalized Avatars in the Metaverse: Ready Player Me Case 1 Introduction 2 Fundamentals 2.1 Metaverse 2.2 Decentralization 2.3 Cross-Platform 3 Avatars 4 Case Study: Ready Player Me 4.1 Cross-Platform Web Technologies 4.2 Cross-Platform Avatars 4.3 glTF/GLB 4.4 Avatar API/Render API 4.5 RPM NFT Implementations 5 The Future of Avatars 6 Conclusion References Security Issues in Artificial Intelligence Use for Metaverse and Digital Twin Setups 1 Introduction 2 Usage Scenarios for Artificial Intelligence in Metaverse and Digital Twin Platforms 2.1 Components of Metaverse–Digital Twin Collaboration 2.2 Using the Artificial Intelligence for Digital Twin Components and the Metaverse 2.3 Scenarios for Artificial Intelligence in the Metaverse 3 Artificial Intelligence-Oriented Security Issues 3.1 Attacks 3.2 Vulnerabilities and Bugs 3.3 User-Based Issues 4 Solution Recommendations 5 Conclusion References