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Auflistung nach Schlagwort "digital twin"

1 - 7 von 7
  • Workshop
    AI and Health: Using Digital Twins to Foster Healthy Behavior
    (Mensch und Computer 2024 - Workshopband, 2024) Keppel, Jonas; Ivezić, Dijana; Gruenefeld, Uwe; Lukowicz, Paul; Amft, Oliver; Schneegass, Stefan
    This workshop brings researchers together to discuss and explore how artificial intelligence (AI) can be used to improve general health. During our workshop at the MuC conference, we will focus on three main areas: developing ethical AI health recommendations, exploring how smart technologies in our homes can influence our health habits, and understanding how different types of feedback can change our health behaviors. The workshop aims to be a space where various research areas meet, encouraging a shared understanding and creating new ways to use AI to encourage healthy living. By focusing on real-world applications of AI and digital twins, we seek to guide our discussions toward strategies that have a direct and positive impact on individual and societal health.
  • Konferenzbeitrag
    CherryGraph: Encoding digital twins of cherry trees into a knowledge graph based on topology
    (44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 2024) Andreas Gilson, Mareike Weule
    CherryGraph is a structural framework for mapping trees into an ontology-based knowledge graph that can be used as database backend for digital twins. Based on the reconstructed 3D topology of scanned trees, information is encoded in a knowledge graph that resembles the real canopy structure of trees. Thus, CherryGraph enables consistent navigation within the branching system of a tree over different time points regardless of natural fluctuations. The resulting knowledge graph can then be queried for arbitrary use cases or aggregated on different hierarchy levels. We demonstrate the potential of CherryGraph by using data of real cherry trees from the 2023 cherry season with exemplary queries that can be extended to include spatial and temporal dimensions for comparing indicators like elongation growth of shoots or tracking the development of other various tree traits over time.
  • Konferenzbeitrag
    For5G: Systematic approach for creating digital twins of cherry orchards
    (43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 2023) Meyer, Lukas; Gilson, Andreas; Uhrmann, Franz; Weule, Mareike; Keil, Fabian; Haunschild, Bernhard; Oschek, Joachim; Steglich, Marco; Hansen, Jonathan; Stamminger, Marc; Scholz, Oliver
    We present a systematic approach for creating digital twins of cherry trees in orchards as part of the project “For5G: Digital Twin”. We aim to develop a basic concept for 5G applications in orchards using a mobile campus network. Digital twins monitor the status of individual trees in every aspect and are a crucial step for the digitalization of processes in horticulture. Our framework incorporates a transformation of photometric data to a 3D reconstruction, which is subsequently segmented and modeled using learning-based approaches. Collecting objective phenotypic features from individual trees over time and storing them in a knowledge graph offers a convenient foundation for gaining new insights. Our approach shows promising results at this point for creating a detailed digital twin of a cherry tree and ultimately the entire orchard.
  • Konferenzbeitrag
    A Human Digital Twin as Building Block of Open Identity Management for the Internet of Things
    (Open Identity Summit 2020, 2020) Zibuschka, Jan; Ruff, Christopher; Horch, Andrea; Roßnagel, Heiko
    In networked industry, digital twins aggregate product data along the entire life cycle, from design and production to deployment. This enables interoperability between different data sources and analysis functions and creates an integrated data environment. Human digital twins have the potential to create a similarly interoperable and integrated data environment for more user-centric use cases in the field of the Internet of Things. In this case, personal data is processed and transmitted; therefore, the underlying infrastructure is then not product data management but identity management. In this paper, we discuss general aspects of the human digital twin, its role in open identity management systems, and illustrate its application in the field of home, building and office automation. We identify advantages and limitations and suggest future research opportunities.
  • Textdokument
    Influence Estimation In Multi-Step Process Chains Using Quantum Bayesian Networks
    (INFORMATIK 2022, 2022) Selch,Maximilian; Müssig,Daniel; Hänel,Albrecht; Lässig,Jörg; Ihlenfeldt,Steffen
    Digital representatives of physical assets and process steps play a decisive role in analysing properties and evaluating the quality of the process. So-called digital twins acquire all relevant planning and process data, which provide the basis, for example, to investigate path accuracies in manufacturing. Each single process step aims to perform an ideal machining after the specification of a target geometry. However, the practical implementation of a step usually shows deviations from the targeted shape. The machine-learning based method of probabilistic Bayesian networks enables the quality estimation of the holistic process chain as well as improvements by targeted considerations of single steps and influence factors. However, the handling of large-scale Bayesian networks requires a high computational effort, whereas the processing with quantum algorithms holds potential improvements in storage and performance. Based on the issue of path accuracy, this paper considers the modelling and influence estimation for a milling operation including experiments on superconducting quantum hardware.
  • Magazinartikel
    Mehr als gespiegelt
    (.inf: Vol. 1, No. 2, 2023) Michael, Judith
    Der Begriff „digitaler Zwilling” geistert gerade wieder durch viele Projektbeschreibungen, Marketingbroschüren und Medienberichte. Was tatsächlich dahintersteckt, erläutert Expertin Judith Michael.
  • Konferenzbeitrag
    Robotic process control for multi-vegetable micro spot-farming using digital twin simulation
    (44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 2024) Weber, Bettina; Chande, Sahil; Maike, Simon; Verbunt, Maarten; Lee, Ting Sheng; Becker, Rolf; Franko, Josef
    Current robotic approaches in smart farming are often limited to a specific task such as weeding or harvesting. Contrary to this, the AgriPV-Bot aims at sustainable and efficient micro spot full vegetable farming by focusing on mixed vegetable cultivation through automated horticultural processes. Such a holistic approach requires sophisticated robotic process control. This paper presents the development of the underlying state machine built in ROS SMACH to handle a variety of tasks within the system. All processes and interactions of sensors and actuators are first simulated on the digital twin software Gazebo before being deployed in the real environment. This allows for rapid iterations of software and reduces dependencies on season and crop availability regarding physical field tests.