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Author: Ibrahim Yitmen
Publisher: CRC Press
ISBN: 1000918947
Category : Computers
Languages : en
Pages : 240
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Book Description
This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.
Author: Ibrahim Yitmen
Publisher: CRC Press
ISBN: 1000918947
Category : Computers
Languages : en
Pages : 240
Get Book Here
Book Description
This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.
Author: Ibrahim Yitmen
Publisher: CRC Press
ISBN: 1000918971
Category : Computers
Languages : en
Pages : 267
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Book Description
This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.
Author:
Publisher: BoD – Books on Demand
ISBN: 085014003X
Category : Technology & Engineering
Languages : en
Pages : 414
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Book Description
Integrative Approaches in Urban Sustainability - Architectural Design, Technological Innovations and Social Dynamics in Global Contexts takes readers on an academic exploration of the complex realm of urban sustainability. This extensive book explores the significant changes in the worldwide demographic environment, documenting the swift process of urbanization that has taken place from the beginning of the 19th century. This highlights the impact of the shift from rural to urban environments on our global society, bringing both difficulties and possibilities in equal proportions. This intellectually stimulating investigation transcends mere academic inquiry. It emphasizes the need for comprehensive strategies in urban planning, combining user-focused design with inventive solutions and environmental consciousness. Key themes encompass the incorporation of eco-friendly technology, such as solar energy systems, into urban architecture, the significance of designs that prioritize pedestrians and green spaces for the development of sustainable and livable communities, and the crucial role of technological progress in energy and health management within the urban environment. This book also addresses the socioeconomic consequences of urbanization, encompassing issues such as the cost of housing and the availability of high-quality education and health care. This analysis explores the impact of urban hubs on promoting economic expansion and innovation, emphasizing the necessity for policies that balance economic progress and social fairness. This book is essential for politicians, urban planners, researchers, and everyone with an interest in the future of our cities. It presents a persuasive concept of developing urban settings that are financially prosperous, technologically sophisticated, environmentally sustainable, and socially inclusive. The tactics and concepts provided are crucial in constructing cities that can effectively address the intricate requirements of the 21st century and beyond. Participate in reimagining the potential of urban spaces and molding a future where cities thrive as vibrant centers for everyone.
Author:
Publisher: BoD – Books on Demand
ISBN: 085466095X
Category : Technology & Engineering
Languages : en
Pages : 180
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Book Description
Industry 4.0 Transformation Towards Industry 5.0 Paradigm - Challenges, Opportunities and Practices critically explores the paradigm change from Industry 4.0's integration of digital technology to Industry 5.0's focus on human-robot collaboration. This book highlights Industry 5.0, the aim of which is to merge human intelligence with robotic capabilities to enhance efficiency and sustainability. This shift entails integrating Industry 5.0 technologies like collaborative robots and Human Digital Twins into production processes for safer and more efficient collaboration. Industry 4.0's influence on the tourism sector highlights the need for human-centric approaches and updated education to transition to the digital tourism era. Similarly, the construction sector, under Construction 4.0, faces organizational challenges in adopting technology. The Technology-Organization-Environment (TOE) framework identifies decision-making factors to facilitate this transition. Transportation 5.0 represents a transformative shift towards Cyber-Physical-Social Transportation Systems, prioritizing ethical and sustainable solutions. It harnesses advanced technologies to improve transportation efficiency while considering social impacts. Nano and Society 5.0 explore nanotechnology's role in advancing societal goals, from personalized health care to sustainable energy. Digital entrepreneurship, propelled by Industry 4.0, faces challenges and opportunities amidst technological evolution and the pandemic's effects. In education, Online Distance e-Learning (OdeL) practices leverage digitalization for interactive learning, emphasizing critical thinking and industry-relevant skills. Overall, Industry 5.0 represents a holistic transformation driven by human intelligence, technology, and sustainability. This book serves as a guide for navigating this transition, providing insights for industry professionals, policymakers, and researchers. It explores the integration of automation with human-centric methods, fostering efficiency, creativity, and sustainability.
Author: Ponnusamy, Sivaram
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 542
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Book Description
The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the need for operational excellence, innovation, and a competitive edge, all while navigating the intricate web of data analytics, decision-making, and real-time monitoring. In response to these challenges, Harnessing AI and Digital Twin Technologies in Businesses emerges as an example of insight and guidance, offering a comprehensive exploration of the complementary connection between AI and digital twin technology. In a world where the convergence of these powerful tools transforms business intelligence, enabling initiative-taking decision-making and dynamic simulations. This book serves as a solution for decision-makers, technologists, and researchers seeking to not only understand but harness the potential of AI-powered digital twins to enhance productivity, creativity, and judgment in their operations.
Author: Amjad Almusaed
Publisher: BoD – Books on Demand
ISBN: 1837696071
Category :
Languages : en
Pages : 163
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Book Description
Author: Ian Gordon
Publisher: Springer Nature
ISBN: 3031510089
Category :
Languages : en
Pages : 380
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Book Description
Author: Sailesh Iyer
Publisher: Elsevier
ISBN: 0443288852
Category : Social Science
Languages : en
Pages : 702
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Book Description
Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts. - Uniquely focuses on applications for smart cities and villages, including smart services for health, education, mobility, and agriculture - Provides use cases and practical deployment of research involved in the emerging uses of digital twins - Discusses all pertinent issues, challenges, and possible solutions instrumental in implementing digital twins smart solutions in this context - Edited and authored by a global team of experts in their given fields
Author: Limao Zhang
Publisher: Springer Nature
ISBN: 9811628424
Category : Technology & Engineering
Languages : en
Pages : 271
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Book Description
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Author: Michael Grieves
Publisher:
ISBN: 9780982138007
Category : Product life cycle
Languages : en
Pages : 382
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Book Description
