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Real-time, web-based, and interactive visualisations are proven to be outstanding methodologies and tools in numerous fields when knowledge in sophisticated data science and visualisation techniques is available. The rationale for this is because modern data science analytical approaches like machine/deep learning or artificial intelligence, as well as digital twinning, promise to give data insights, enable informed decision-making, and facilitate rich interactions among stakeholders.The benefits of data visualisation, data science, and digital twinning technologies motivate this book, which exhibits and presents numerous developed and advanced data science and visualisation approaches. Chapters cover such topics as deep learning techniques, web and dashboard-based visualisations during the COVID pandemic, 3D modelling of trees for mobile communications, digital twinning in the mining industry, data science libraries, and potential areas of future data science development.
Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
This book comprehensively introduces readers to Digital Twins, from the basic concepts, core technologies and technical architecture, to application scenarios and other aspects. Readers will gain a profound understanding of the emerging discipline of Digital Twins. Covering the latest and cutting-edge application technologies of Digital Twins in various fields, the book offers practitioners concrete problem-solving strategies. At the same time, it helps those working in Digital Twins-related fields to deepen their understanding of the industry and enhance their professional knowledge and skills. Given its scope, the book can also be used as teaching material or a reference book for teachers and students of product design, industrial design, design management, design marketing and related disciplines at colleges and universities. Covering a variety of groundbreaking Digital Twins technologies, it can also provide new directions for researchers.
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.
This book is neither a step-by-step guide nor a technical handbook. Instead, different insights for Engineers (especially Chief/Lead/Head/Principal) on the adoption of Digital Twins for physical counterparts in various sectors/industries such as Manufacturing, Building, Infrastructure, Oil & Gas, Healthcare, Energy, Telecommunication, and Transportation up to City levels. With the power of digital data upon various advanced technologies aligned with Industry 4.0 and surely better than traditional approaches, the Digital Twin is the way forward to smartly enhance performances, especially towards Sustainability. Because data is, to every Engineer, the key to making better-informed decisions about physical counterparts. Furthermore, Artificial Intelligence (AI) and Metaverse technologies are advancing to create more opportunities and excitement for Digital Twins. However, organizational commitment is a lot more important than focusing on specific advanced technologies in order to optimize the Return On Investment (ROI) and data security level of the Digital Twin adoption. With simple explanations and case studies, perhaps this book is actionable for Engineers to start adopting in their organization by starting small and later achieving better performances than before. Smart Plant, Smart Building, Smart Infrastructure, Smart City, and more from the Digital Twin adoption, in the long run, are absolutely the sustainable motivation behind it, economically, socially, and environmentally valuable.
This Open Access proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI). The Editors Prof. Dr.-Ing. Thorsten Schüppstuhl is head of the Institute of Aircraft Production Technology (IFPT) at the Hamburg University of Technology. Prof. Dr.-Ing. Kirsten Tracht is head of the Bremen Institute for Mechanical Engineering (bime) at the University of Bremen. Prof. Dr.-Ing. Annika Raatz is head of the Institute of Assembly Technology (match) at the Leibniz University Hannover.
Digital twin technologies, currently at the forefront of development, play a crucial role in integrated systems, industrial design, manufacturing, data analytics, and decision-making processes. As we move forward, digital twin technologies, along with their enabling technologies such as Artificial Intelligence, Machine Learning, Internet of Things (IoT), metaverse, and advanced visualization features, will continue to drive digital transformation and innovation across various societal contexts. This book presents a conceptual framework that examines critical perspectives on digital twins across diverse disciplines. It evaluates the contributions of leading thinkers to the broader discourse about digital twins. The introductory chapter provides an overview of the entire book, summarizing all subsequent chapters. Chapter 2 delves into the fundamentals of digital twins, covering theories, definitions, and enabling technologies. Chapters 3 to 10 explore various application areas, including smart cities, manufacturing, healthcare, infrastructure, and supply chain. Chapter 10 specifically focuses on socio-technical aspects related to the design, development, and implementation of digital twins. It emphasizes the significance of digital twins as a public good and identifies opportunities, gaps, and challenges. The final chapter addresses the current and future need for skills in training, education, and awareness, proposing collaborative approaches for industry and academia.
The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for "Smarter Manufacturing", The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more. Provides in-depth descriptions of digital transformation technologies and tools Covers various research accomplishments in this flourishing field of relevance Includes many detailed industry use cases with all the right information