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Smart ecosystems are the drivers of modern society. They control infrastructures of socio-techno-economic importance, ensuring their stable and sustainable operation. Smart ecosystems are governed by digital twins -- real-time virtual…

软件工程 · 计算机科学 2024-08-21 Judith Michael , Istvan David , Dominik Bork

Digital twins are virtual systems designed to predict how a real-world process will evolve in response to interventions. This modelling paradigm holds substantial promise in many applications, but rigorous procedures for assessing their…

统计方法学 · 统计学 2023-11-03 Rob Cornish , Muhammad Faaiz Taufiq , Arnaud Doucet , Chris Holmes

This article discusses the use of digital twins for products made of polymer composite materials. The design of new products from polymer composite materials, both within the framework of the traditional and new direction of cloud…

机器人学 · 计算机科学 2021-09-14 Maksim Kubrikov , Mikhail Saramud , Angelina Petetskaya , Evgeniy Talay

This chapter provides an introduction to the foundations of digital twins and makes the case for employing them in smart grids. As engineered systems become more complex and autonomous, digital twin technology gains importance as the…

新兴技术 · 计算机科学 2026-02-17 Xiaoran Liu , Istvan David

Digital twin technology is an essential approach to managing the lifecycle of industrial products. Among the many approaches used to manage digital twins, co-simulation has proven to be a reliable one. There have been multiple attempts to…

Digital twin (DT) techniques have been proposed for the autonomous operation and lifecycle management of next-generation optical networks. To fully utilize potential capacity and accommodate dynamic services, the DT must dynamically update…

A digital twin is a virtual representation that accurately replicates its physical counterpart, fostering bi-directional real-time data exchange throughout the entire process lifecycle. For Laser Directed Energy Deposition of Wire…

计算工程、金融与科学 · 计算机科学 2024-12-05 Maximilian Kannapinn , Fabian Roth , Oliver Weeger

The transformation to Industry 4.0 also transforms the processes of how we develop intelligent manufacturing production systems. To advance the software development of these new (embedded) software systems, digital twins may be employed.…

软件工程 · 计算机科学 2024-05-30 Alexander Barbie , Wilhelm Hasselbring

The concept of creating a virtual copy of a complete Cyber-Physical System opens up numerous possibilities, including real-time assessments of the physical environment and continuous learning from the system to provide reliable and precise…

人工智能 · 计算机科学 2023-11-22 Carine Menezes Rebello , Johannes Jäschkea , Idelfonso B. R. Nogueira

The Digital Twins (DT) has quickly become a hot topic since it was proposed. It not only appears in all kinds of commercial propaganda, but also is widely quoted by academic circles. However, there are misstatements and misuse of the term…

计算工程、金融与科学 · 计算机科学 2022-03-25 Jiehan Zhou , Shouhua Zhang , Mu Gu

This work introduces the concept of an autonomous cooking process based on Digital Twin method- ology. It proposes a hybrid approach of physics-based full order simulations followed by a data-driven system identification process with low…

计算工程、金融与科学 · 计算机科学 2022-09-08 Maximilian Kannapinn , Michael Schäfer

Digital Twins have gained attention in various industries for simulation, monitoring, and decision-making, relying on ever-improving machine learning models. However, agricultural Digital Twin implementations are limited compared to other…

机器学习 · 计算机科学 2024-06-14 Georg Goldenits , Kevin Mallinger , Sebastian Raubitzek , Thomas Neubauer

As the real-time digital counterpart of a physical system or process, digital twins are utilized for system simulation and optimization. Neural networks are one way to build a digital twins model by using data especially when a…

机器学习 · 计算机科学 2021-12-03 Chao Sun , Victor Guang Shi

Industry 4.0 represents a major technological shift that has the potential to transform the manufacturing industry, making it more efficient, productive, and sustainable. Smart farming is a concept that involves the use of advanced…

软件工程 · 计算机科学 2024-03-18 Alexander Barbie , Wilhelm Hasselbring , Malte Hansen

To ensure the availability and reduce the downtime of complex cyber-physical systems across different domains, e.g., agriculture and manufacturing, fault tolerance mechanisms are implemented which are complex in both their development and…

机器人学 · 计算机科学 2025-05-08 Irina Muntean , Mirgita Frasheri , Tiziano Munaro

Emerging technologies and applications make the network unprecedentedly complex and heterogeneous, leading physical network practices to be costly and risky. The digital twin network (DTN) can ease these burdens by virtually enabling users…

网络与互联网体系结构 · 计算机科学 2022-06-02 Linbo Hui , Mowei Wang , Liang Zhang , Lu Lu , Yong Cui

Digital Twins are one of the hottest digital trends. In this contribution we will shortly review the concept of Digital Twins and the chances for novel industrial applications. Mathematics are a key enabler and the impact will be…

计算机与社会 · 计算机科学 2020-01-28 Dirk Hartmann , Herman van der Auweraer

A key challenge faced by small and medium-sized business entities is securely managing software updates and changes. Specifically, with rapidly evolving cybersecurity threats, changes/updates/patches to software systems are necessary to…

密码学与安全 · 计算机科学 2023-09-25 Nilanjana Das , Anantaa Kotal , Daniel Roseberry , Anupam Joshi

Digital twin (DT) is one of the most promising enabling technologies for realizing smart grids. Characterized by seamless and active---data-driven, real-time, and closed-loop---integration between digital and physical spaces, a DT is much…

信号处理 · 电气工程与系统科学 2019-09-17 Xing He , Qian Ai , Robert C. Qiu , Dongxia Zhang

Digital Twins are digital replica of real entities and are becoming fundamental tools to monitor and control the status of entities, predict their future evolutions, and simulate alternative scenarios to understand the impact of changes.…

计算机与社会 · 计算机科学 2023-09-26 Lorenzo Adreani , Pierfrancesco Bellini , Marco Fanfani , Paolo Nesi , Gianni Pantaleo