Littérature scientifique sur le sujet « Hybrid Twins »
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Articles de revues sur le sujet "Hybrid Twins"
Nespolo, Massimo. « Plesiotwinsversusdiperiodic twins ». Acta Crystallographica Section A Foundations and Advances 74, no 4 (1 juillet 2018) : 332–44. http://dx.doi.org/10.1107/s2053273318005351.
Texte intégralPignatelli, Isabella, Massimo Nespolo et Giovanni Ferraris. « A survey of hybrid twins in silicate minerals ». European Journal of Mineralogy 23, no 5 (1 décembre 2011) : 779–94. http://dx.doi.org/10.1127/0935-1221/2011/0023-2142.
Texte intégralFerraris, G., et M. Nespolo. « Hybrid twins in minerals ». Acta Crystallographica Section A Foundations of Crystallography 64, a1 (23 août 2008) : C491. http://dx.doi.org/10.1107/s0108767308084213.
Texte intégralNespolo, Massimo, et Giovanni Ferraris. « A survey of hybrid twins in non-silicate minerals ». European Journal of Mineralogy 21, no 4 (31 août 2009) : 673–90. http://dx.doi.org/10.1127/0935-1221/2009/0021-1937.
Texte intégralMarzouki, Mohamed Amine, Bernd Souvignier et Massimo Nespolo. « The staurolite enigma solved ». Acta Crystallographica Section A Foundations and Advances 70, no 4 (17 mai 2014) : 348–53. http://dx.doi.org/10.1107/s2053273314007335.
Texte intégralEmir Isik, Gülbahar, et Henri Hubertus Achten. « OPERATIONALISING CONCEPTS OF DIGITAL TWINS ON DIFFERENT MATURITY LEVELS (FOETAL, CHILD, ADULT) FOR THE ARCHITECTURAL DESIGN PROCESS ». Proceedings of the Design Society 3 (19 juin 2023) : 2825–34. http://dx.doi.org/10.1017/pds.2023.283.
Texte intégralYun, Seong-Jin, Jin-Woo Kwon et Won-Tae Kim. « A Novel Digital Twin Architecture with Similarity-Based Hybrid Modeling for Supporting Dependable Disaster Management Systems ». Sensors 22, no 13 (24 juin 2022) : 4774. http://dx.doi.org/10.3390/s22134774.
Texte intégralNespolo, Massimo, et Giovanni Ferraris. « The derivation of twin laws in non-merohedric twins. Application to the analysis of hybrid twins ». Acta Crystallographica Section A Foundations of Crystallography 62, no 5 (23 août 2006) : 336–49. http://dx.doi.org/10.1107/s0108767306023774.
Texte intégralKluge, Michelle L., Evan Graber, Kathryn Foley, Lynnette V. Hansen, Heidi L. Sellers, Dragana Milosevic, Kendall W. Cradic et Stefan K. Grebe. « Monozygotic twins discordant for congenital adrenal hyperplasia due to mosaicism ». European Journal of Endocrinology 182, no 2 (février 2020) : K7—K13. http://dx.doi.org/10.1530/eje-19-0249.
Texte intégralTorregrosa, Sergio, Victor Champaney, Amine Ammar, Vincent Herbert et Francisco Chinesta. « Hybrid twins based on optimal transport ». Computers & ; Mathematics with Applications 127 (décembre 2022) : 12–24. http://dx.doi.org/10.1016/j.camwa.2022.09.026.
Texte intégralThèses sur le sujet "Hybrid Twins"
Torregrosa, jordan Sergio. « Approches Hybrides et Méthodes d'Intelligence Artificielle Basées sur la Simulation Numérique pour l'Optimisation des Systèmes Aérodynamiques Complexes ». Electronic Thesis or Diss., Paris, HESAM, 2024. http://www.theses.fr/2024HESAE002.
Texte intégralThe industrial design of a component is a complex, time-consuming and costly process constrained to precise physical, styling and development specifications led by its future conditions and environment of use. Indeed, an industrial component is defined and characterized by many parameters which must be optimized to best satisfy all those specifications. However, the complexity of this multi-parametric constrained optimization problem is such that its analytical resolution is compromised.In the recent past, such a problem was solved experimentally, by trial and error, leading to expensive and time-consuming design processes. Since the mid-20th century, with the advancement and widespread access to increasingly powerful computing technologies, the ``virtual twins'', or physics-based numerical simulations, became an essential tool for research and development, significantly diminishing the need for experimental measurements. However, despite the computing power available today, ``virtual twins'' are still limited by the complexity of the problem solved and present some significant deviations from reality due to the ignorance of certain subjacent physics. In the late 20th century, the volume of data has surge enormously, massively spreading in the majority of fields and leading to a wide proliferation of Artificial Intelligence (AI) techniques, or ``digital twins'', partially substituting the ``virtual twins'' thanks to their lower intricacy. Nevertheless, they need an important training stage and can lead to some aversion since they operate as black boxes. Today, these technological evolutions have resulted in a framework where theory, experimentation, simulation and data can interact in synergy and reinforce each other.In this context, Stellantis aims to explore how AI can improve the design process of a complex aerodynamic system: an innovative cockpit air vent. To this purpose, the main goal of this thesis is to develop a parametric surrogate of the aerator geometry which outputs the norm of the velocity field at the pilot's face in order to explore the space of possible geometries while evaluating their performances in real time. The development of such a data-based metamodel entails several conceptual problems which can be addressed with AI.The use of classical regression techniques can lead to unphysical interpolation results in some domains such as fluid dynamics. Thus, the proposed parametric surrogate is based on Optimal Transport (OT) theory which offers a mathematical approach to measure distances and interpolate between general objects in a novel way.The success of a data-driven model relies on the quality of the training data. On the one hand, experimental data is considered as the most realistic but is extremely costly and time-consuming. On the other hand, numerical simulations are cheaper and faster but present a significant deviation from reality. Therefore, a Hybrid Twin approach is proposed based on Optimal Transport theory in order to bridge the ignorance gap between simulation and measurement.The sampling process of training data has become a central workload in the development process of a data-based model. Hence, an Active Learning methodology is proposed to iteratively and smartly select the training points, based on industrial objectives expected from the studied component, in order to minimize the number of needed samples. Thus, this sampling strategy maximizes the performance of the model while converging to the optimal solution of the industrial problem.The accuracy of a data-based model is usually the main concern of its training process. However, reality is complex and unpredictable leading to input parameters known with a certain degree of uncertainty. Therefore, a data-based Uncertainty Quantifcation methodology, based on Monte Carlo estimators and OT, is proposed to take into account the uncertainties propagation into the surrogate and to quantify their impact on its precision
Weißhuhn, J., T. Mark, M. Martin, P. Müller, A. Seifert et S. Spange. « Ternary organic–inorganic nanostructured hybrid materials by simultaneous twin polymerization ». Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-220068.
Texte intégralDieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich
Sass, Monica A. « Seeing Double : Marie de France's Use of Twins and Hybrids in her Lais ». University of Toledo Honors Theses / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=uthonors1418907558.
Texte intégralUSAI, VITTORIO. « Experimental Analysis and 1D Model Simulation of an Advanced Twin Stage Hybrid Boosting System ». Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1094853.
Texte intégralKitschke, Philipp, Marc Walter, Tobias Rüffer, Heinrich Lang, Maksym V. Kovalenko et Michael Mehring. « From molecular germanates to microporous Ge@C via twin polymerization ». Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-200917.
Texte intégralDieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich
DI, NAPOLI MARIA. « Modeling and experimental characterization of belt drive systems in micro-hybrid vehicles ». Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2715955.
Texte intégralMackey, Grant. « TWIN AND NARROW ROW WIDTH EFFECTS ON CORN (ZEA MAYS L.) YIELD AND WEED MANAGEMENT ». UKnowledge, 2013. http://uknowledge.uky.edu/pss_etds/22.
Texte intégralGregorio, Jean-Loup. « Contribution à la définition d'un jumeau numérique pour la maîtrise de la qualité géométrique des structures aéronautiques lors de leurs processus d'assemblage ». Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASN008.
Texte intégralAssembly operations of aerostructures are nowadays planned using the Digital Mock Up of the considered products. To allow a good realization of the aforementioned operations, the geometry of the physical product must remain as faithful as possible to the reference geometry contained in the Digital Mock Up. Because of the complexity of the considered products, unanticipated geometrical deviations may however appear. These geometrical deviations lead to longer cycle times and higher assembly costs.The increasing integration of data processing system gives new prospects on how to organize production systems. These prospects include the possibility to optimize the manufacturing and assembly operations in real time thanks to the use of digital twins of the manufactured products. In this work, we propose the implementation of a geometrical digital twin. This digital twin is capable of mirroring the geometry of the physical product being assembled and optimizing the geometry of some components remaining to be assembled.With this in mind, the initial Digital Mock Up is updated in order to obtain a hybrid representation of the product. This representation includes the different states of the components, which are called as-designed, as-built and interface. The as-built components are more particularly updated in order to mirror the geometry of the physical product being assembled. A method using digitized data is proposed. From there, the geometry of interface components is updated so that the final product complies with the functional requirements which were defined. A method is also proposed for this purpose.The feasibility of the approach as well as the proposed tools is evaluated through two application cases, one of which is directly representative of the industrial context of the works. The obtained results allow to consider enriching the proposed approach by considering non-geometrical constraints in order to optimize assembly operations
Göring, M., A. Seifert, K. Schreiter, P. Müller et S. Spange. « A non-aqueous procedure to synthesize amino group bearing nanostructured organic–inorganic hybrid materials ». Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-152006.
Texte intégralDieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich
An, Jeongki [Verfasser], Andreas [Akademischer Betreuer] Binder et Harald [Akademischer Betreuer] Neudorfer. « Design of a permanent magnet synchronous machine for hybrid electric vehicles with twin electric machines and a range extender / Jeongki An ; Andreas Binder, Harald Neudorfer ». Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2020. http://d-nb.info/1213907667/34.
Texte intégralLivres sur le sujet "Hybrid Twins"
Mehring, Michael, Stefan Spange, Alexander Auer, Matthias Birkner et Giovanni Bistoni. Twin Polymerization : New Strategy for Hybrid Material Synthesis. De Gruyter, Inc., 2018.
Trouver le texte intégralMehring, Michael, Stefan Spange, Alexander Auer, Matthias Birkner et Giovanni Bistoni. Twin Polymerization : New Strategy for Hybrid Materials Synthesis. de Gruyter GmbH, Walter, 2018.
Trouver le texte intégralMehring, Michael, Stefan Spange, Alexander Auer, Matthias Birkner et Giovanni Bistoni. Twin Polymerization : New Strategy for Hybrid Materials Synthesis. de Gruyter GmbH, Walter, 2018.
Trouver le texte intégralChapitres de livres sur le sujet "Hybrid Twins"
Pohlkötter, Fabian J., Dominik Straubinger, Alexander M. Kuhn, Christian Imgrund et William Tekouo. « Unlocking the Potential of Digital Twins ». Dans Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, 190–99. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_18.
Texte intégralAli, Muhammad A., Rehan Umer et Kamran A. Khan. « Experimental-Empirical Hybrid Approach ». Dans CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0, 153–70. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8021-5_7.
Texte intégralAli, Muhammad A., Rehan Umer et Kamran A. Khan. « Experimental-Numerical Hybrid Reinforcement Characterization Framework ». Dans CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0, 73–94. Singapore : Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8021-5_4.
Texte intégralBellavista, Paolo. « Enabling Distributed and Hybrid Digital Twins in the Industry5.0 Cloud Continuum ». Dans Lecture Notes in Computer Science, 139–42. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12429-7_10.
Texte intégralJain, Rajat, Nikhil Bharat et P. Subhash Chandra Bose. « Digital Twins of Hybrid Additive and Subtractive Manufacturing Systems–A Review ». Dans Lecture Notes in Mechanical Engineering, 173–83. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6094-1_18.
Texte intégralPfeifer, Denis, Andreas Baumann, Marco Giani, Christian Scheifele et Jörg Fehr. « Hybrid Digital Twins Using FMUs to Increase the Validity and Domain of Virtual Commissioning Simulations ». Dans Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, 200–209. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_19.
Texte intégralSchumann, Dorit, Marco Bleckmann et Peter Nyhuis. « Hybrid Production Structures as a Solution for Flexibility and Transformability for Longer Life Cycles of Production Systems ». Dans Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, 289–99. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62582-4_26.
Texte intégralAbhilash, P. M., Jibin Boban, Afzaal Ahmed et Xichun Luo. « Digital twin-driven additive manufacturing ». Dans Hybrid Metal Additive Manufacturing, 196–221. Boca Raton : CRC Press, 2023. http://dx.doi.org/10.1201/9781003406488-12.
Texte intégralChinesta, Francisco, Fouad El Khaldi et Elias Cueto. « Hybrid Twin : An Intimate Alliance of Knowledge and Data ». Dans The Digital Twin, 279–98. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21343-4_11.
Texte intégralBadawy, Ibrahim, A. M. Bassiuny, Rania Darwish et A. S. Tolba. « A Digital Twin of a Remote Real-Time Accessible Labs ». Dans Towards a Hybrid, Flexible and Socially Engaged Higher Education, 200–212. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52667-1_21.
Texte intégralActes de conférences sur le sujet "Hybrid Twins"
Lin, Yu-Wen, Tsz Ling Elaine Tang et Costas J. Spanos. « Hybrid Approach for Digital Twins in the Built Environment ». Dans e-Energy '21 : The Twelfth ACM International Conference on Future Energy Systems. New York, NY, USA : ACM, 2021. http://dx.doi.org/10.1145/3447555.3466585.
Texte intégralNafors, Daniel, Bjorn Johansson, Per Gullander et Sven Erixon. « Simulation in Hybrid Digital Twins for Factory Layout Planning ». Dans 2020 Winter Simulation Conference (WSC). IEEE, 2020. http://dx.doi.org/10.1109/wsc48552.2020.9384075.
Texte intégralAbburu, Sailesh, Arne J. Berre, Michael Jacoby, Dumitru Roman, Ljiljana Stojanovic et Nenad Stojanovic. « COGNITWIN – Hybrid and Cognitive Digital Twins for the Process Industry ». Dans 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2020. http://dx.doi.org/10.1109/ice/itmc49519.2020.9198403.
Texte intégralZhang, Guobin, et Xinying Wang. « Digital Twin Modeling for Photovoltaic Panels Based on Hybrid Neural Network ». Dans 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI). IEEE, 2021. http://dx.doi.org/10.1109/dtpi52967.2021.9540210.
Texte intégralThummerer, Tobias, Artem Kolesnikov, Julia Gundermann, Denis Ritz et Lars Mikelsons. « Paving the way for Hybrid Twins using Neural Functional Mock-Up Units ». Dans 15th International Modelica Conference 2023, Aachen, October 9-11. Linköping University Electronic Press, 2023. http://dx.doi.org/10.3384/ecp204141.
Texte intégralWang, Yuxiao, Xingyuan Dai, Kara Wang, Hub Ali et Fenghua Zhu. « Embed Trajectory Imitation in Reinforcement Learning : A Hybrid Method for Autonomous Vehicle Planning ». Dans 2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI). IEEE, 2023. http://dx.doi.org/10.1109/dtpi59677.2023.10365415.
Texte intégralGrimmeisen, Philipp, Yuliang Ma, Mihai A. Diaconeasa et Andrey Morozov. « Automated Generation of Hybrid Probabilistic Risk Models From SysML V2 Models of Software-Defined Manufacturing Systems ». Dans ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95433.
Texte intégralSemenkov, Kirill, Vitaly Promyslov et Alexey Poletykin. « Verification of Large Scale Control Systems with Hybrid Digital Models and Digital Twins ». Dans 2020 International Russian Automation Conference (RusAutoCon). IEEE, 2020. http://dx.doi.org/10.1109/rusautocon49822.2020.9208167.
Texte intégralMustafee, Navonil, Alison Harper et Joe Viana. « Hybrid Models with Real-time Data : Characterising Real-time Simulation and Digital Twins ». Dans SW23 The OR Society Simulation Workshop. Operational Research Society, 2023. http://dx.doi.org/10.36819/sw23.031.
Texte intégralChenxi, Hu, Yang Qiliang, Xing Jianchun, Qin Xia, Li Suliang et Jia Haining. « A Hybrid Knowledge-Data Model to Driving the Self-Evolution of Building Digital Twins ». Dans 2022 34th Chinese Control and Decision Conference (CCDC). IEEE, 2022. http://dx.doi.org/10.1109/ccdc55256.2022.10034336.
Texte intégralRapports d'organisations sur le sujet "Hybrid Twins"
Mohanty, Subhasish. Hybrid AI-ML and FE-based Digital Twin Predictive Modeling Framework for a PWR Coolant System Components : Updates on Multi-Time-Series-3D-Location Dependent Usages Factor Prediction. Office of Scientific and Technical Information (OSTI), juin 2022. http://dx.doi.org/10.2172/1874565.
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