Relevant bibliographies by topics / Cognitive Digital Twin CDT

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Academic literature on the topic 'Cognitive Digital Twin CDT'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Cognitive Digital Twin CDT"

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Mandal, Sukanya. "A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (2024): 23399–400. http://dx.doi.org/10.1609/aaai.v38i21.30400.

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A Smart City is one that makes better use of city data to make our communities better places to live. Typically, this has 3 components: sensing (data collection), analysis and actuation. Privacy, particularly as it relates to citizen's data, is a cross-cutting theme. A Digital Twin (DT) is a virtual replica of a real-world physical entity. Cognitive Digital Twins (CDT) are DTs enhanced with cognitive AI capabilities. Both DTs and CDTs have seen adoption in the manufacturing and industrial sectors however cities are slow to adopt these because of privacy concerns. This work attempts to address
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Savić, Goran, Milan Segedinac, Zora Konjović, Milan Vidaković, and Radoslav Dutina. "Towards a Domain-Neutral Platform for Sustainable Digital Twin Development." Sustainability 15, no. 18 (2023): 13612. http://dx.doi.org/10.3390/su151813612.

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In this paper, we propose an abstract domain-neutral architecture for a cognitive digital twin (CDT) and a software platform to develop such CDTs, including machine reasoning capabilities. Sustainable development refers here to an abstract model that enables a holistic view of limiting resources and has an ability to adapt to different application domains while reusing existing resources. The proposed solution allows for a unified abstract representation and the development of a wide range of diverse digital twins, as well as facilitating their interoperability. The abstract architecture consi
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Mandal, Sukanya, and Noel E. O'Connor. "LLMasMMKG: LLM Assisted Synthetic Multi-Modal Knowledge Graph Creation For Smart City Cognitive Digital Twins." Proceedings of the AAAI Symposium Series 4, no. 1 (2024): 210–21. http://dx.doi.org/10.1609/aaaiss.v4i1.31795.

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The concept of a Smart City (SC) Cognitive Digital Twin (CDT) presents significant potential for optimizing urban environments through sophisticated simulations, predictions, and informed decision-making. Comprehensive Knowledge Representations (KRs) that effectively integrate the diverse data streams generated by a city are crucial to realizing this potential. This paper addresses this by introducing a novel approach that leverages Large Language Models (LLMs) to automate the construction of synthetic Multi-Modal (MM) Knowledge Graphs (KGs) specifically designed for a SC CDT. Recognizing the
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Kalaboukas, Kostas, Joze Rožanec, Aljaž Košmerlj, Dimitris Kiritsis, and George Arampatzis. "Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model." Applied Sciences 11, no. 9 (2021): 4103. http://dx.doi.org/10.3390/app11094103.

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Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. The circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the trends that require supply chains to become “cognitive”, i.e., able to predict trends and flexible enough in dynamic environments, ensuring optimized operational performance. Digital twins (DTs) is a promising technology, and a lot of work is done on the factory level. In this paper, the concept of cognitive digital twins (CDTs) and how they
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Esmaeili, Iraj, and Davide Simeone. "A General Contractor’s Perspective on Construction Digital Twin: Implementation, Impacts and Challenges." Buildings 13, no. 4 (2023): 978. http://dx.doi.org/10.3390/buildings13040978.

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The Digital Twin (DT), as a real-time and data-connected virtual replica of a physical asset, introduces a new paradigm in the construction industry. To date, the use of DT in the construction phase has not been addressed sufficiently. Hence, this research studies the implementation of DT during the construction phase of projects to support general contractors’ decisions and operations. Starting from existing literature, a Construction Digital Twin (CDT) framework has been developed from a general contractor’s perspective and a case study was implemented as an application of the proposed CDT t
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Athaya, Fadhila Hasna. "Cognitive Dissonance pada Konteks Berkomunikasi dan Mencari Informasi di Ruang Digital: Fenomena Selective Exposure." JURNAL LENSA MUTIARA KOMUNIKASI 6, no. 1 (2022): 61–72. http://dx.doi.org/10.51544/jlmk.v6i1.2535.

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In the digital space that is now increasingly dominating our lives, there are challenges and new social situations that require us to adapt. Cognitive Dissonance Theory (CDT) places a focus on seeing human behavior in situations that are incompatible with the cognition he has. After six decades of CDT's existence, there have been many derivative concepts that can be used to analyze causation in this dissonance situation. Selective exposure is a concept derived from CDT that has received attention from researchers in analyzing the phenomenon of filter bubbles and echo chambers. To examine the a
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Irfan, Muhammad, Ashfaq Niaz, Muhammad Qasim Habib, Muhammad Usman Shoukat, Shahid Hussain Atta, and Akbar Ali. "Digital Twin Concept, Method and Technical Framework for Smart Meters." European Journal of Theoretical and Applied Sciences 1, no. 3 (2023): 105–17. http://dx.doi.org/10.59324/ejtas.2023.1(3).10.

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Smart meters connect smart grid electricity suppliers and users. Smart meters have become a research hotspot as smart grid applications like demand response, power theft prevention, power quality monitoring, peak valley time of use prices, and peer-to-peer (P2P) energy trading have grown. But, as the carriers of these functions, smart meters have technical problems such as limited computing resources, difficulty in upgrading, and high costs, which to some extent restrict the further development of smart grid applications. To address these issues, this study offers a container-based digital twi
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Muhammad, Irfan, Niaz Ashfaq, Qasim Habib Muhammad, Usman Shoukat Muhammad, Hussain Atta Shahid, and Ali Akbar. "Digital Twin Concept, Method and Technical Framework for Smart Meters." European Journal of Theoretical and Applied Sciences 1, no. 3 (2023): 105–17. https://doi.org/10.59324/ejtas.2023.1(3).10.

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Smart meters connect smart grid electricity suppliers and users. Smart meters have become a research hotspot as smart grid applications like demand response, power theft prevention, power quality monitoring, peak valley time of use prices, and peer-to-peer (P2P) energy trading have grown. But, as the carriers of these functions, smart meters have technical problems such as limited computing resources, difficulty in upgrading, and high costs, which to some extent restrict the further development of smart grid applications. To address these issues, this study offers a container-based digital twi
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Diao, Junyu, Renzhi Tang, Yi Gu, Sen Tian, and Zhihao Jiang. "Cognitive-Digital-Twin-Based Driving Assistance." IEEE Robotics and Automation Letters 8, no. 8 (2023): 5188–95. http://dx.doi.org/10.1109/lra.2023.3291895.

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Casadei, Roberto, Danilo Pianini, Mirko Viroli, and Danny Weyns. "Digital Twins, Virtual Devices, and Augmentations for Self-Organising Cyber-Physical Collectives." Applied Sciences 12, no. 1 (2021): 349. http://dx.doi.org/10.3390/app12010349.

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The engineering of large-scale cyber-physical systems (CPS) increasingly relies on principles from self-organisation and collective computing, enabling these systems to cooperate and adapt in dynamic environments. CPS engineering also often leverages digital twins that provide synchronised logical counterparts of physical entities. In contrast, sensor networks rely on the different but related concept of virtual device that provides an abstraction of a group of sensors. In this work, we study how such concepts can contribute to the engineering of self-organising CPSs. To that end, we analyse t
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Book chapters on the topic "Cognitive Digital Twin CDT"

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Agostinelli, Sofia. "COGNIBUILD: Cognitive Digital Twin Framework for Advanced Building Management and Predictive Maintenance." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_8.

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AbstractAccording to contemporary challenges of digital evolution in management and maintenance of construction processes, the present study aims at defining valuable strategies for building management optimization. As buildings’ and infrastructures’ Digital Twins (DT) are directly connected to physical environment through the Internet of Things (IoT), asset management and control processes can be radically transformed. The proposed DT framework connects building information model (BIM) three-dimensional objects to information about the planned maintenance of components, supplying system’s sel
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Ssin, Seungyoub, Junseong Bang, and Woontack Woo. "CDT-GEM: Conversational Digital Twin for Geographic Emergency Management." In Extended Reality and Metaverse. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25390-4_12.

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Wallner, Steffen, Thomas Bernard, and Christian Kühnert. "Optimizing Cooling System Operations with Informed ML and a Digital Twin." In Cognitive Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83097-6_2.

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Abstract Today, there are a variety of cooling systems available to serve smaller data centers, industrial plants or office buildings. These are often one-off installations, and in most cases their control parameters are set at the time of installation and are not changed subsequently. In addition, these parameters are set conservatively and are not designed for energy-optimized operation. A digital twin of the plant, including a simulation model, is essential to bring the cooling system closer to energy-optimized operation over its lifetime, but this is not usually the case. One of the main r
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Diedrich, Alexander, Christian Kühnert, Georg Maier, Joshua Schraven, and Oliver Niggemann. "AITwin: A Uniform Digital Twin Interface for Artificial Intelligence Applications." In Cognitive Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83097-6_3.

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Abstract Cyber-physical systems that integrate machine learning (ML)-based services and methods from the broader field of Artificial Intelligence (AI) rely on a virtual representation of the underlying real physical system. Unfortunately, depending on respective solution approaches, usually similar but rarely the same virtual representation of the physical system is required. Thus, two solutions for the same problem might use different virtual representations. Informed Machine Learning is one technique to integrate expert knowledge into AI applications. It uses techniques to combine an often p
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Qi, Lei, Hang Yang, Jiayi Liu, Wenjun Xu, and Yi Zhong. "Cognitive Digital Twin Modeling of Robotic Disassembly Process." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52649-7_11.

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Yitmen, Ibrahim, and Sepehr Alizadehsalehi. "Towards a Digital Twin-based Smart Built Environment." In BIM-enabled Cognitive Computing for Smart Built Environment. CRC Press, 2021. http://dx.doi.org/10.1201/9781003017547-2.

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Budzko, Vladimir, Victor Medennikov, and Petr Keyer. "System Analysis of Subject Identification of Digital Twin in Agriculture." In Biologically Inspired Cognitive Architectures 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50381-8_16.

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Rehman, Atiq ur, Mobyen Uddin Ahmed, and Shahina Begum. "Cognitive Digital Twin in Manufacturing: A Heuristic Optimization Approach." In IFIP Advances in Information and Communication Technology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34107-6_35.

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Moreno, Tomás, Thiago Sobral, António Almeida, António Lucas Soares, and Américo Azevedo. "Semantic Asset Administration Shell Towards a Cognitive Digital Twin." In Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38165-2_79.

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Luschi, Cecilia, and Alessandra Vezzi. "Building’s Twin Reconstruction." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.117.

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The work shows a process that starts from the digitization of cultural heritage and through analysis arrives at the subsequent diachronic holographic representation. The object of the study was the creation of two holograms of historical buildings: the church of St. Maria in Sovana with an interesting subsoil and the ruin of church of St. Francesco, attributed to Sangallo il Giovane in Pitigliano. However, the theoretical setting of the research is placed at due distance from the twin term. It has implications and meaning that are not matched by producing a digital copy, even a very high resol
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Conference papers on the topic "Cognitive Digital Twin CDT"

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Walker, Mark, and Jean-Marie Forêt. "Unleashing the Cognitive Digital Twin via Semantic Orchestration." In 2025 IEEE Aerospace Conference. IEEE, 2025. https://doi.org/10.1109/aero63441.2025.11068505.

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Ji, Tang, Jan Polzer, and Xun Xu. "Developing Cognitive Digital Twin for Smart Manufacturing: Methodology and Case Study." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711555.

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Ravi Kumar, M., Upma Jain, Flory Francis, s. Senthil Kumar, Rachit Adhvaryu, and L. Natrayan. "Cognitive Digital Twin Systems for Predictive Security in AI-Enhanced IoT Environments." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10796449.

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Walunj, Snehal, Parsha Pahlevannejad, Ali Karnoub, Christiane Plociennik, and Martin Ruskowski. "Context-Aware Worker Assistance System in Augmented Reality using Semantically Zoomable Digital Twin." In 2025 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA). IEEE, 2025. https://doi.org/10.1109/cogsima64436.2025.11079486.

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Amirkhanov, Bauyrzhan, Murat Kunelbayev, Tomiris Nurgazy, Gulnur Tyulepberdinova, Saltanat Adilzhanova, and Gulshat Amirkhanova. "DigitalEgiz: Integration of a Digital Twin to Improve the Efficiency of a Single-Phase Inverter for a Photovoltaic Solar Module." In 2024 7th Asia Conference on Cognitive Engineering and Intelligent lnteraction (CEII). IEEE, 2024. https://doi.org/10.1109/ceii65291.2024.00032.

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Al Faruque, Mohammad Abdullah, Deepan Muthirayan, Shih-Yuan Yu, and Pramod P. Khargonekar. "Cognitive Digital Twin for Manufacturing Systems." In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2021. http://dx.doi.org/10.23919/date51398.2021.9474166.

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Ji, Tang, Jan Polzer, and Xun Xu. "Cognitive Digital Twin Framework for Smart Manufacturing." In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE, 2023. http://dx.doi.org/10.1109/case56687.2023.10260436.

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Niedźwiecki, Arthur, Sascha Jongebloed, Yanxiang Zhan, Michaela Kümpel, Jörn Syrbe, and Michael Beetz. "Cloud-Based Digital Twin for Cognitive Robotics." In 2024 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2024. http://dx.doi.org/10.1109/educon60312.2024.10578841.

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Razumowsky, A. I. "Digital Twin Metamodeling." In 33rd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2023. http://dx.doi.org/10.20948/graphicon-2023-891-895.

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The paper presents a method of developing digital twins (DTs) by creating special cognitive shell- metamodels that allow the creation, correction, scaling and implementation of arbitrary complexity of DTs of productions and their products. The method of cognitive matamodeling of DTs will allow to integrate the main properties of the software of DTs: 3D-modeling, accounting of functioning and dynamics of changes, management of configurations of DTs, monitoring of communication relations, calculation of mass and inertial characteristics, storage and visualization of chronicles of all operational
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Antonijevic, Petar, Muddesar Iqbal, George Ubakanma, and Tasos Dagiuklas. "The Metaverse evolution: Toward Future Digital Twin Campuses." In 2022 Human-Centered Cognitive Systems (HCCS). IEEE, 2022. http://dx.doi.org/10.1109/hccs55241.2022.10090250.

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