Digital Twin Driven Smart Design

Digital Twin Driven Smart Design
Author: Fei Tao,Ang Liu,Tianliang Hu
Publsiher: Academic Press
Total Pages: 300
Release: 2020-05
ISBN 10: 0128189185
ISBN 13: 9780128189184
Language: EN, FR, DE, ES & NL

Digital Twin Driven Smart Design Book Review:

Digital Twin Driven Smart Design draws on the latest industry practice and research to establish a basis for the implementation of digital twin technology in product design. Coverage of relevant design theory and methodology is followed by detailed discussions of key enabling technologies that are supported by cutting-edge case studies of implementation. This groundbreaking book explores how digital twin technology can bring improvements to different kinds of product design process, including functional, lean and green. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in digital manufacturing or computer-aided design.

Digital Twin Driven Smart Manufacturing

Digital Twin Driven Smart Manufacturing
Author: Fei Tao,Meng Zhang,A.Y.C. Nee
Publsiher: Academic Press
Total Pages: 282
Release: 2019-02-07
ISBN 10: 0128176318
ISBN 13: 9780128176313
Language: EN, FR, DE, ES & NL

Digital Twin Driven Smart Manufacturing Book Review:

Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process. The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing? This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing. Analyzes the differences, synergies and possibilities for integration between digital twin technology and other technologies, such as big data, service and Internet of Things Discuss new requirements for a traditional three-dimension digital twin and proposes a methodology for a five-dimension version Investigates new models for optimized manufacturing, prognostics and health management, and cyber-physical fusion based on the digital twin

Digital Twin Driven Smart Design

Digital Twin Driven Smart Design
Author: Fei Tao,Ang Liu,Tianliang Hu,A.Y.C. Nee
Publsiher: Academic Press
Total Pages: 358
Release: 2020-05-07
ISBN 10: 0128189193
ISBN 13: 9780128189191
Language: EN, FR, DE, ES & NL

Digital Twin Driven Smart Design Book Review:

Digital Twin Driven Smart Design draws on the latest industry practice and research to establish a basis for the implementation of digital twin technology in product design. Coverage of relevant design theory and methodology is followed by detailed discussions of key enabling technologies that are supported by cutting-edge case studies of implementation. This groundbreaking book explores how digital twin technology can bring improvements to different kinds of product design process, including functional, lean and green. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in digital manufacturing or computer-aided design. Provides detailed case studies that explore key applications of digital twin technology in design practice Introduces the concept of using digital twins to create the virtual commissioning of design projects Presents a framework to help engineers incorporate digital twins into their product design process

Digital Twin Driven Service

Digital Twin Driven Service
Author: Fei Tao,Qinglin Qi,A.Y.C. Nee
Publsiher: Academic Press
Total Pages: 326
Release: 2022-03-14
ISBN 10: 0323986153
ISBN 13: 9780323986151
Language: EN, FR, DE, ES & NL

Digital Twin Driven Service Book Review:

Digital Twin Driven Smart Service draws on the latest industry practice and research to explain how to implement digital twin service in a range of scenarios. It addresses relevant theory and methodologies, including product service, prognostic health management service, energy efficient service and testing service. Other sections discuss key enabling technologies supported by cutting-edge case studies of implementation. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in product services, manufacturing services and digital twin services. This book is one part of a trilogy on digital twins, the other titles being Digital Twin Driven Smart Design and Digital Twin Driven Smart Manufacturing. Provides a wide range of applications, including tribological testing, cutting tool service and energy efficiency assessment Explains everything needed to understand and implement digital twin models for service, including frameworks, theories and technologies Explores future challenges for research in this area, including the ongoing standardization of digital twin technology

Digital Twins

Digital Twins
Author: Christoph Herwig,Ralf Pörtner,Johannes Möller
Publsiher: Springer Nature
Total Pages: 262
Release: 2021-05-27
ISBN 10: 3030716600
ISBN 13: 9783030716608
Language: EN, FR, DE, ES & NL

Digital Twins Book Review:

This is the first of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization. Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan novel bioprocesses, and to efficiently monitor them. This book explains the mathematical structure of digital twins, their development and the model’s respective parts, as well as concepts for the knowledge-driven generation and structural variability of digital twins. Covering fundamentals as well as applications, the two volumes offer the ideal introduction to the topic for researchers in academy and industry alike.

Digital Twin Technologies and Smart Cities

Digital Twin Technologies and Smart Cities
Author: Maryam Farsi,Alireza Daneshkhah,Amin Hosseinian-Far,Hamid Jahankhani
Publsiher: Springer
Total Pages: 212
Release: 2019-07-22
ISBN 10: 3030187322
ISBN 13: 9783030187323
Language: EN, FR, DE, ES & NL

Digital Twin Technologies and Smart Cities Book Review:

This book provides a holistic perspective on Digital Twin (DT) technologies, and presents cutting-edge research in the field. It assesses the opportunities that DT can offer for smart cities, and covers the requirements for ensuring secure, safe and sustainable smart cities. Further, the book demonstrates that DT and its benefits with regard to: data visualisation, real-time data analytics, and learning leading to improved confidence in decision making; reasoning, monitoring and warning to support accurate diagnostics and prognostics; acting using edge control and what-if analysis; and connection with back-end business applications hold significant potential for applications in smart cities, by employing a wide range of sensory and data-acquisition systems in various parts of the urban infrastructure. The contributing authors reveal how and why DT technologies that are used for monitoring, visualising, diagnosing and predicting in real-time are vital to cities’ sustainability and efficiency. The concepts outlined in the book represents a city together with all of its infrastructure elements, which communicate with each other in a complex manner. Moreover, securing Internet of Things (IoT) which is one of the key enablers of DT’s is discussed in details and from various perspectives. The book offers an outstanding reference guide for practitioners and researchers in manufacturing, operations research and communications, who are considering digitising some of their assets and related services. It is also a valuable asset for graduate students and academics who are looking to identify research gaps and develop their own proposals for further research.

Handbook of Research on Developing Smart Cities Based on Digital Twins

Handbook of Research on Developing Smart Cities Based on Digital Twins
Author: Del Giudice, Matteo,Osello, Anna
Publsiher: IGI Global
Total Pages: 674
Release: 2021-01-15
ISBN 10: 1799870936
ISBN 13: 9781799870937
Language: EN, FR, DE, ES & NL

Handbook of Research on Developing Smart Cities Based on Digital Twins Book Review:

The advent of connected, smart technologies for the built environment may promise a significant value that has to be reached to develop digital city models. At the international level, the role of digital twin is strictly related to massive amounts of data that need to be processed, which proposes several challenges in terms of digital technologies capability, computing, interoperability, simulation, calibration, and representation. In these terms, the development of 3D parametric models as digital twins to evaluate energy assessment of private and public buildings is considered one of the main challenges of the last years. The ability to gather, manage, and communicate contents related to energy saving in buildings for the development of smart cities must be considered a specificity in the age of connection to increase citizen awareness of these fields. The Handbook of Research on Developing Smart Cities Based on Digital Twins contains in-depth research focused on the description of methods, processes, and tools that can be adopted to achieve smart city goals. The book presents a valid medium for disseminating innovative data management methods related to smart city topics. While highlighting topics such as data visualization, a web-based ICT platform, and data-sharing methods, this book is ideally intended for researchers in the building industry, energy, and computer science fields; public administrators; building managers; and energy professionals along with practitioners, stakeholders, researchers, academicians, and students interested in the implementation of smart technologies for the built environment.

Data Driven Engineering Design

Data Driven Engineering Design
Author: Ang Liu,Yuchen Wang,Xingzhi Wang
Publsiher: Springer Nature
Total Pages: 197
Release: 2021-10-09
ISBN 10: 3030881814
ISBN 13: 9783030881818
Language: EN, FR, DE, ES & NL

Data Driven Engineering Design Book Review:

This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.

Building Industrial Digital Twins

Building Industrial Digital Twins
Author: Shyam Varan Nath,Pieter van Schalkwyk,Dan Isaacs
Publsiher: Packt Publishing Ltd
Total Pages: 286
Release: 2021-11-02
ISBN 10: 1839214511
ISBN 13: 9781839214516
Language: EN, FR, DE, ES & NL

Building Industrial Digital Twins Book Review:

Build your first digital twin MVP and gain first-hand experience of using the technology, the challenges it presents, and its impact on your organization Key Features Create a digital twin prototype using Microsoft Azure Digital Twin Explore the digital twin approach to the design, operations, and maintenance of industrial assets and products Understand key characteristics and components of a digital twin through practical use cases and business scenarios Book Description Digital twin technology enables organizations to create digital representations of physical entities such as assets, systems, and processes throughout their life cycle. It improves asset performance, utilization, and safe operations and reduces manufacturing, operational, and maintenance costs. The book begins by introducing you to the concept of digital twins and sets you on a path to develop a digital twin strategy to positively influence business outcomes in your organization. You'll understand how digital twins relate to physical assets, processes, and technology and learn about the prerequisite conditions for the right platform, scale, and use case of your digital twins. You'll then get hands-on with Microsoft's Azure Digital Twins platform for your digital twin development and deployment. The book equips you with the knowledge to evaluate enterprise and specialty platforms, including the cloud and industrial IoT required to set up your digital twin prototype. Once you've built your prototype, you'll be able to test and validate it relative to the intended purpose of the twin through pilot deployment, full deployment, and value tracking techniques. By the end of this book, you'll have developed the skills to build and deploy your digital twin prototype, or minimum viable twin, to demonstrate, assess, and monitor your asset at specific stages in the asset life cycle. What you will learn Identify key criteria for the applicability of digital twins in your organization Explore the RACI matrix and rapid experimentation for choosing the right tech stack for your digital twin system Evaluate public cloud, industrial IoT, and enterprise platforms to set up your prototype Develop a digital twin prototype and validate it using a unit test, integration test, and functional test Perform an RoI analysis of your digital twin to determine its economic viability for the business Discover techniques to improve your digital twin for future enhancements Who this book is for The digital twin book is for mid-career subject experts, including engineers and operations managers, building their first prototype (MVP) using digital twin technology. The book will help professionals responsible for mechanical, process, and reliability engineering domains. You don't have to be a developer or programmer, but beginner-level programming skills will be helpful.

Digital Twins

Digital Twins
Author: Christoph Herwig,Ralf Pörtner,Johannes Möller
Publsiher: Springer
Total Pages: 254
Release: 2021-04-26
ISBN 10: 9783030716554
ISBN 13: 3030716554
Language: EN, FR, DE, ES & NL

Digital Twins Book Review:

This is the second of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization. Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan novel bioprocesses, and to efficiently monitor them. This book focuses on the application of digital twins in various contexts, e.g. computer-aided experimental design, seed train prediction, and lifeline analysis. Covering fundamentals as well as applications, the two volumes offers the ideal introduction to the topic for researchers in academy and industry alike.

Virtual and Augmented Reality Applications in Manufacturing

Virtual and Augmented Reality Applications in Manufacturing
Author: S.K. Ong,A.Y.C. Nee
Publsiher: Springer Science & Business Media
Total Pages: 388
Release: 2013-04-17
ISBN 10: 1447138732
ISBN 13: 9781447138730
Language: EN, FR, DE, ES & NL

Virtual and Augmented Reality Applications in Manufacturing Book Review:

Written by experts from the world’s leading institutions in the field, this is the only book to cover virtual and augmented reality in manufacturing from a manufacturing perspective, rather than a computer science angle. It details applications of state-of-the-art technologies in real industrial situations.

Digital Twin Development and Deployment on the Cloud

Digital Twin Development and Deployment on the Cloud
Author: Nassim Khaled,Bibin Pattel,Affan Siddiqui
Publsiher: Academic Press
Total Pages: 592
Release: 2020-05-24
ISBN 10: 0128216468
ISBN 13: 9780128216460
Language: EN, FR, DE, ES & NL

Digital Twin Development and Deployment on the Cloud Book Review:

Digital Twin Development and Deployment in the Cloud: Developing Cloud-Friendly Dynamic Models Using Simulink®/SimscapeTM and Amazon AWS promotes a physics-based approach to the field of digital twins. Through the use of multiphysics models running in the cloud, significant improvement to the diagnostics and prognostic of systems can be attained. The book draws a clear definition of digital twins, helping business leaders clearly identify the value it brings. In addition, it outlines the key elements needed for deployment, including the hardware and software tools needed. Special attention is paid to the process of developing and deploying the multi-physics models of the digital twins. Provides a high-level overview of digital twins and their underutilization in the field of asset management and maintenance Proposes a streamline process to create digital twins for a wide variety of applications using MATLAB® SimscapeTM Deploys developed digital twins on Amazon Web Services Includes MATLAB and Simulink codes available for free download on MATLAB central Covers popular prototyping hardwares, such as Arduino and Raspberry Pi

Advances in Production Management Systems Artificial Intelligence for Sustainable and Resilient Production Systems

Advances in Production Management Systems  Artificial Intelligence for Sustainable and Resilient Production Systems
Author: Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero
Publsiher: Springer Nature
Total Pages: 737
Release: 2021-09-01
ISBN 10: 303085910X
ISBN 13: 9783030859107
Language: EN, FR, DE, ES & NL

Advances in Production Management Systems Artificial Intelligence for Sustainable and Resilient Production Systems Book Review:

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Mechatronic Futures

Mechatronic Futures
Author: Peter Hehenberger,David Bradley
Publsiher: Springer
Total Pages: 259
Release: 2016-06-10
ISBN 10: 3319321560
ISBN 13: 9783319321561
Language: EN, FR, DE, ES & NL

Mechatronic Futures Book Review:

Offering a comprehensive overview of the challenges, risks and options facing the future of mechatronics, this book provides insights into how these issues are currently assessed and managed. Building on the previously published book ‘Mechatronics in Action,’ it identifies and discusses the key issues likely to impact on future mechatronic systems. It supports mechatronics practitioners in identifying key areas in design, modeling and technology and places these in the wider context of concepts such as cyber-physical systems and the Internet of Things. For educators it considers the potential effects of developments in these areas on mechatronic course design, and ways of integrating these. Written by experts in the field, it explores topics including systems integration, design, modeling, privacy, ethics and future application domains. Highlighting novel innovation directions, it is intended for academics, engineers and students working in the field of mechatronics, particularly those developing new concepts, methods and ideas.

Advanced Information Systems Engineering

Advanced Information Systems Engineering
Author: Schahram Dustdar,Eric Yu,Camille Salinesi,Dominique Rieu,Vik Pant
Publsiher: Springer Nature
Total Pages: 574
Release: 2020-06-02
ISBN 10: 3030494357
ISBN 13: 9783030494353
Language: EN, FR, DE, ES & NL

Advanced Information Systems Engineering Book Review:

This book constitutes the refereed proceedings of the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, held in Grenoble, France, in June 2020.* The 33 full papers presented in this volume were carefully reviewed and selected from 185 submissions. The book also contains one invited talk in full paper length. The papers were organized in topical sections named: distributed applications; AI and big data in IS; process mining and analysis; requirements and modeling; and information systems engineering. Abstracts on the CAiSE 2020 tutorials can be found in the back matter of the volume. *The conference was held virtually due to the COVID-19 pandemic.

Transdisciplinary Perspectives on Complex Systems

Transdisciplinary Perspectives on Complex Systems
Author: Franz-Josef Kahlen,Shannon Flumerfelt,Anabela Alves
Publsiher: Springer
Total Pages: 327
Release: 2016-08-16
ISBN 10: 3319387561
ISBN 13: 9783319387567
Language: EN, FR, DE, ES & NL

Transdisciplinary Perspectives on Complex Systems Book Review:

This book presents an internationally comprehensive perspective into the field of complex systems. It explores the challenges of and approaches to complexity from a broad range of disciplines, including big data, health care, medicine, mathematics, mechanical and systems engineering, air traffic control and finance. The book’s interdisciplinary character allows readers to identify transferable and mutually exclusive lessons learned among these disciplines and beyond. As such, it is well suited to the transfer of applications and methodologies between ostensibly incompatible disciplines. This book provides fresh perspectives on comparable issues of complexity from the top minds on systems thinking.

Industry 4 0 in Small and Medium Sized Enterprises SMEs

Industry 4 0 in Small and Medium Sized Enterprises  SMEs
Author: Ketan Kotecha,Satish Kumar,Arunkumar Bongale,R. Suresh
Publsiher: CRC Press
Total Pages: 224
Release: 2022-03-11
ISBN 10: 1000548945
ISBN 13: 9781000548945
Language: EN, FR, DE, ES & NL

Industry 4 0 in Small and Medium Sized Enterprises SMEs Book Review:

Focusing on the broader areas of Industry 4.0 as it applies to small and medium-sized enterprises (SMEs), this book offers a smooth adoption of techniques and technologies and presents advances, challenges, and opportunities for implementation. It will also enhance the role of academia by training new engineers on Industry 4.0 and digital transformation. Industry 4.0 in Small and Medium-Sized Enterprises (SMEs): Opportunities, Challenges, and Solutions presents concepts of predictive maintenance, digital factory, digital twin, additive manufacturing, and machining for sustainable development. It discusses the challenges faced by adopting Industry 4.0 including new security and privacy measures in the whole smart manufacturing setup while also explaining the impact of Industry 4.0 on Lean production systems. Implementation recommendations in the form of case studies, research studies, and the role academia can play are also provided. Practitioners, research scholars, academicians, and those studying or working in the Industry 4.0 sector will find this book of interest.

Proceedings of the International Symposium on Sustainable Energy and Power Engineering 2021

Proceedings of the International Symposium on Sustainable Energy and Power Engineering 2021
Author: Akhmetova Irina
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN 10: 9811693765
ISBN 13: 9789811693762
Language: EN, FR, DE, ES & NL

Proceedings of the International Symposium on Sustainable Energy and Power Engineering 2021 Book Review:

Digital Twin Technology

Digital Twin Technology
Author: Gopal Chaudhary,Manju Khari,Mohamed Elhoseny
Publsiher: CRC Press
Total Pages: 252
Release: 2021-10-05
ISBN 10: 1000455874
ISBN 13: 9781000455878
Language: EN, FR, DE, ES & NL

Digital Twin Technology Book Review:

Most of the business sectors consider the Digital Twin concept as the next big thing in the industry. A current state analysis of their digital counterparts helps in the prediction of the future of physical assets. Organizations obtain better insights on their product performance through the implementation of Digital Twins, and the applications of the technology are frequently in sectors such as manufacturing, automobile, retail, health care, smart cities, industrial IoT, etc. This book explores the latest developments and covers the significant challenges, issues, and advances in Digital Twin Technology. It will be an essential resource for anybody involved in related industries, as well as anybody interested in learning more about this nascent technology. This book includes: The future, present, and past of Digital Twin Technology. Digital twin technologies across the Internet of Drones, which developed various perceptive and autonomous capabilities, towards different control strategies such as object detection, navigation, security, collision avoidance, and backup. These approaches help to deal with the expansive growth of big data solutions. The recent digital twin concept in agriculture, which offers the vertical framing by IoT installation development to enhance the problematic food supply situation. It also allows for significant energy savings practices. It is highly required to overcome those challenges in developing advanced imaging methods of disease detection & prediction to achieve more accuracy in large land areas of crops. The welfare of upcoming archetypes such as digitalization in forensic analysis. The ideas of digital twin have arisen to style the corporeal entity and associated facts reachable software and customers over digital platforms. Wind catchers as earth building: Digital Twins vs. green sustainable architecture.

Transdisciplinary Engineering for Resilience Responding to System Disruptions

Transdisciplinary Engineering for Resilience  Responding to System Disruptions
Author: Anonim
Publsiher: IOS Press
Total Pages: 135
Release: 2021
ISBN 10: 1643682091
ISBN 13: 9781643682099
Language: EN, FR, DE, ES & NL

Transdisciplinary Engineering for Resilience Responding to System Disruptions Book Review: