Transforming Industry Using Digital Twin Technology
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Transforming Industry Using Digital Twin Technology
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Author : Ashutosh Mishra
language : en
Publisher: Springer Nature
Release Date : 2024-05-26
Transforming Industry Using Digital Twin Technology written by Ashutosh Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-26 with Technology & Engineering categories.
This book enables readers with varying backgrounds to understand the need for Digital Twin technologies. The authors describe how digital twin amounts to the convergence of the physical and the virtual worlds where each industrial process, asset, service, or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. Through this book, readers will be enabled to work on Digital Twin techniques and gain from experience. The book will provide a high level of understanding of the emerging technologies and why Digital Twin offers the potential of acquiring and processing a tremendous amount of data from the physical world.
The Power Of Digital Twins Transforming Industries Through Virtual Duplication
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Author : Sam Adams
language : en
Publisher: Independently Published
Release Date : 2023-04-06
The Power Of Digital Twins Transforming Industries Through Virtual Duplication written by Sam Adams and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with categories.
The Power of Digital Twins Transforming Industries through Virtual Duplication Discover how digital twins are revolutionizing industries across the board. This book provides an in-depth look at the history, implementation, and benefits of digital twins in manufacturing, healthcare, aerospace and defense, and smart cities. With case studies highlighting successful digital twin applications and emerging trends, readers will gain valuable insights into how these virtual replicas are changing the way industries operate. From improving efficiency to reducing costs and enhancing safety, digital twins have the power to transform industries and keep businesses competitive in the 21st century. Bullet Points: Detailed explanation of digital twin technology and how it works Case studies of successful digital twin implementations in various industries Analysis of the benefits of using digital twins, including improved efficiency, cost reduction, and enhanced safety Overview of emerging trends in digital twin technology Discussion of potential new industries for digital twin applications Examination of challenges to wider adoption and ethical considerations Call to action for industries to embrace digital twins and stay competitive Digital Twins are computer-generated replicas of physical objects that can be managed and monitored through software. Their popularity is increasing due to their diverse range of applications in various industries such as manufacturing, construction, and supply chain management.
Accelerating Product Development Cycles With Digital Twins And Iot Integration
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Author : Mamodiya, Udit
language : en
Publisher: IGI Global
Release Date : 2025-05-08
Accelerating Product Development Cycles With Digital Twins And Iot Integration written by Mamodiya, Udit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Business & Economics categories.
In today's market, accelerating product development cycles helps businesses gain a competitive edge and meet consumer demands. The integration of digital twins and Internet of Things (IoT) technologies has emerged as a transformative solution, enabling organizations to streamline their design, testing, and production processes. Digital twins allow real-time simulation and monitoring, providing valuable insights into performance, potential issues, and design optimizations. When coupled with IoT businesses can gather continuous feedback throughout the product lifecycle. This accelerates innovation, enhances product quality, and minimizes costs by identifying inefficiencies. By leveraging these technologies, companies can optimize their development cycles and deliver smarter, more reliable products to meet the needs of the marketplace. Accelerating Product Development Cycles With Digital Twins and IoT Integration explores the transformative potential of cutting-edge digital twin technologies in advancing data analytics and the Internet of Things (IoT). It provides a comprehensive analysis of how digital twins enable real-time monitoring, predictive insights, and enhanced decision-making by bridging the physical and digital worlds. This book covers topics such as computational engineering, algorithms, and blockchain, and is a useful resource for business owners, managers, computer engineers, academicians, researchers, and data scientists.
Food And Industry 5 0 Transforming The Food System For A Sustainable Future
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Author : Pushan Kumar Dutta
language : en
Publisher: Springer Nature
Release Date : 2025-02-22
Food And Industry 5 0 Transforming The Food System For A Sustainable Future written by Pushan Kumar Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-22 with Technology & Engineering categories.
"Food and Industry 5.0: Transforming the Food System for a Sustainable Future" offers a groundbreaking exploration of cutting-edge technologies reshaping the global food landscape. This comprehensive volume delves into innovations driving the fifth industrial revolution in food production and distribution. The book examines nanotechnology and biosensor applications in food processing and safety, analyzing their potential to revolutionize quality monitoring, extend shelf life, and enhance traceability. It unveils the transformative power of artificial intelligence and machine learning across the food value chain, from plant disease detection to sustainable poultry production. Significant attention is given to the integration of Internet of Things (IoT) and digital twin technology in agriculture and food supply chains, offering insights into real-time monitoring, predictive maintenance, and optimization techniques. The text explores robotics in food manufacturing, emphasizing advancements in efficiency, waste reduction, and safety. Crucial methodologies for quantifying and analyzing complex agricultural data are addressed, presenting both regression and classification approaches in precision agriculture. Sustainability is a key focus, with chapters examining nano-fertilizers, soil amendments, and AI-integrated crop systems designed to advance UN Sustainable Development Goals. Blockchain technology's role in enhancing food traceability and safety is investigated, complete with real-world case studies. The book addresses the complex regulatory landscape surrounding Industry 5.0 technologies, including waste management in hospitality and ethical considerations of AI deployment. Concluding chapters offer forward-looking analyses of emerging trends in dairy, diet, and hospitality subsectors. This meticulously researched volume employs a wide array of methodologies, from experimental studies to economic modeling and qualitative research. "Food and Industry 5.0" is an indispensable resource for food scientists, agricultural researchers, computer scientists, policymakers, and industry professionals. By bridging multiple disciplines, it provides a scientifically rigorous, data-driven roadmap for creating a more sustainable, efficient, and ethical global food system.
Digital Transformation For Improved Industry And Supply Chain Performance
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Author : Khan, Muhammad Rahies
language : en
Publisher: IGI Global
Release Date : 2024-05-01
Digital Transformation For Improved Industry And Supply Chain Performance written by Khan, Muhammad Rahies and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Business & Economics categories.
In the rapidly evolving landscape of Industry 4.0, integrating digital technologies into supply chain management (SCM) presents opportunities and challenges. While Industry 4.0 promises increased efficiency, productivity, and competitiveness, its impact on sustainability within SCM remains a pressing concern. Existing literature often needs to look more into the holistic integration of Industry 4.0 technologies with sustainable practices in SCM, leaving a critical gap in understanding and implementation. This gap not only inhibits the realization of sustainable performance but also hinders firms from aligning with global sustainability agendas such as the United Nations Sustainable Development Goals (UNSDG) 2030. Digital Transformation for Improved Industry and Supply Chain Performance offers a comprehensive solution by examining the integration of Industry 4.0 technology and SCM sustainability. It addresses the urgent need for firms to undergo digital transformation to achieve sustainable performance. It provides insights into how Industry 4.0 technologies can be strategically leveraged to promote sustainability in SCM operations. Through in-depth analysis of critical topics such as cybersecurity, resilience, circular economy practices, and ethical considerations, this book equips readers with the knowledge and tools necessary to navigate the complexities of Industry 4.0-enabled SCM sustainability.
Current State And Future Perspective In Human Robot Interaction
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Author : Constantin Voloşencu
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-04-16
Current State And Future Perspective In Human Robot Interaction written by Constantin Voloşencu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Technology & Engineering categories.
This book addresses the modern field of human-robot interaction, reviewing the field's current state and providing research studies with future perspectives. The book has ten chapters, which cover several topics such as social robots that come to the aid of the elderly through gerontechnology, helping families with children through child-robot interaction, and robots in human households; the issue of mobile robots that move and interact with humans; technologies for robot design; emotional engagement in learning environments, detecting danger and emotions of human subjects in terrorist attack situations; machine ethic issues in artificial intelligence-based robots; and medical robots for assessment, treatment, and rehabilitation of patients diagnosed with neurodegenerative disorders. The book highlights the powerful capabilities of modern robots, including their efficiency demonstrated practically in the case of safe operation, but also draws attention to possible undesirable operations on which science must have its say. It also emphasizes the robot's ability to interact with humans, the need to simplify interaction and the advanced methods to enhance the human-robot interaction. The book is intended for a broad audience, including academics and industrial specialists, such as professors, researchers, designers, and students.
Emerging Computer Technologies 2
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Author : Ömer Aydın
language : en
Publisher: İzmir Akademi Derneği
Release Date : 2022-12-31
Emerging Computer Technologies 2 written by Ömer Aydın and has been published by İzmir Akademi Derneği this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-31 with Computers categories.
There is rapid development and change in the field of computer science today. These affect all areas of life. Emerging topics in computer science are covered in this book. In the first chapter, a specific IoT application called a smart mailbox with face recognition, which uses cellular connectivity and image processing to securely deliver valuable documents. The prototype for this system includes a fingerprint reader, camera, electromagnetic lock, and various other components connected to an Arduino Uno and a Raspberry Pi, and uses OpenCV and Python software for face detection and recognition. In the second chapter, authors compares and evaluates the main characteristics of 5G channels and the performance of two channel coding candidates, low-density parity-check (LDPC) codes and polar codes. The analysis considers block error rate, bit error rate, computational complexity, and flexibility, and finds that polar codes outperform LDPC code systems, though LDPC is still a viable option compared to other code systems. The third chapter focuses on how to reliably process and store DNA sequences in EHR systems without any modifications. To achieve this, the authors introduce a coding technique and evaluate its effectiveness using the Hamming code and Reed-Solomon coding schemes on a sample data set. The results show that the Reed-Solomon coding scheme outperforms the Hamming code in terms of error detection and correction for securely processing DNA records to EHR systems. The next chapter investigates the robustness of AI models trained on thyroid ultrasound images using different convolutional neural network (CNN) architectures (VGG19, Xception, ResNet50V2, and EfficientNetB2) against adversarial attacks using the fast gradient sign method (FGSM), basic iterative method (BIM), and projected gradient descent (PGD) techniques. In the fifth chapter, it was questioned whether artificial intelligence could write an academic article. In this direction, an academic article was created and evaluated by OpenAI ChatGPT. The final chapter proposes an application to measure RF signal intensities in urban areas and use that information to estimate the amount of energy that can be harvested from these signals. This information is then presented to users through a geographical information system.
Digital Transformation In Healthcare 5 0
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Author : Rishabha Malviya
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-05-06
Digital Transformation In Healthcare 5 0 written by Rishabha Malviya and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Computers categories.
"Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth discussion of the digital revolution expanding the healthcare industry covers a wide range of topics, including digital disruption in healthcare delivery, the impact of 4IR and Health 4.0, e-health services and applications, virtual reality's impact on accessible healthcare delivery, digital twins and dietary health technologies, big data analytics in healthcare systems, machine learning models for cost-effective healthcare delivery systems, affordable healthcare with machine learning, enhanced biomedical signal processing with machine learning, and data-driven AI for information retrieval of biomedical images.
Deep Reinforcement Learning And Its Industrial Use Cases
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Author : Shubham Mahajan
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-29
Deep Reinforcement Learning And Its Industrial Use Cases written by Shubham Mahajan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Computers categories.
This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable resource for professionals and enthusiasts at the forefront of technological innovation. Deep Reinforcement Learning (DRL) represents one of the most dynamic and impactful areas of research and development in the field of artificial intelligence. Bridging the gap between decision-making theory and powerful deep learning models, DRL has evolved from academic curiosity to a cornerstone technology driving innovation across numerous industries. Its core premise—enabling machines to learn optimal actions within complex environments through trial and error—has broad implications, from automating intricate decision processes to optimizing operations that were previously beyond the reach of traditional AI techniques. “Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications” is an essential guide for anyone eager to understand the nexus between cutting-edge artificial intelligence techniques and practical industrial applications. This book not only demystifies the complex theory behind deep reinforcement learning (DRL) but also provides a clear roadmap for implementing these advanced algorithms in a variety of industries to solve real-world problems. Through a careful blend of theoretical foundations, practical insights, and diverse case studies, the book offers a comprehensive look into how DRL is revolutionizing fields such as finance, healthcare, manufacturing, and more, by optimizing decisions in dynamic and uncertain environments. This book distills years of research and practical experience into accessible and actionable knowledge. Whether you’re an AI professional seeking to expand your toolkit, a business leader aiming to leverage AI for competitive advantage, or a student or academic researching the latest in AI applications, this book provides valuable insights and guidance. Beyond just exploring the successes of DRL, it critically examines challenges, pitfalls, and ethical considerations, preparing readers to not only implement DRL solutions but to do so responsibly and effectively. Audience The book will be read by researchers, postgraduate students, and industry engineers in machine learning and artificial intelligence, as well as those in business and industry seeking to understand how DRL can be applied to solve complex industry-specific challenges and improve operational efficiency.
Digital Twins For Smart Cities And Villages
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Author : Sailesh Iyer
language : en
Publisher: Elsevier
Release Date : 2024-10-17
Digital Twins For Smart Cities And Villages written by Sailesh Iyer and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Social Science categories.
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