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Journal articles on the topic 'Cognitive Digital Twin CDT'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

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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Jang, Dae-Ho, Gi-Tae Roh, Chi-Ho Jeon, and Chang-Su Shim. "Simulation-Based Optimization of Crane Lifting Position and Capacity Using a Construction Digital Twin for Prefabricated Bridge Deck Assembly." Buildings 15, no. 3 (2025): 475. https://doi.org/10.3390/buildings15030475.

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The growing adoption of off-site construction methods has increased the critical role of mobile cranes within the construction sector. This study develops a Construction Digital Twin (CDT) framework to optimize crane lifting positions and capacities for the installation of prefabricated bridge decks. By integrating 3D site modeling, Building Information Modeling (BIM), and crane simulations within the Unity game engine, the CDT overcomes the limitations of conventional 2D-based planning by providing a three-dimensional representation of site conditions. An exhaustive search method identifies o

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Maiullari, D., Claudio Nageli, Andreas Rudena, and Liane Thuvander. "Gothenburg Digital Twin. Modelling and communicating the effect of temperature change scenarios on building demand." Journal of Physics: Conference Series 2600, no. 3 (2023): 032006. http://dx.doi.org/10.1088/1742-6596/2600/3/032006.

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Abstract The article presents the first prototype of a web-based City Digital Twin (CDT) viewer developed for the city of Gothenburg to promote the understanding of the interrelation between the spatial, energy and climate change domain related to building stocks and to support stakeholders’ collaboration. The focus is on the development process of the viewer and decisions taken to target the users. 3d spatial data about the current city combined with building energy demand modelling following the Intergovernmental Panel on Climate Change scenarios provide the basis that potentially allows loc

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Jones, David. "Artificial cognitive systems: the next generation of the digital twin. An opinion." Digital Twin 1 (November 9, 2021): 3. http://dx.doi.org/10.12688/digitaltwin.17440.2.

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The digital twin is often presented as the solution to Industry 4.0 and, while there are many areas where this may be the case, there is a risk that a reliance on existing machine learning methods will not be able to deliver the high level cognitive capabilities such as adaptability, cause and effect, and planning that Industry 4.0 requires. As the limitations of machine learning are beginning to be understood, the paradigm of strong artificial intelligence is emerging. The field of artificial cognitive systems is part of the strong artificial intelligence paradigm and is aimed at generating c

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Jones, David. "Artificial cognitive systems: the next generation of the digital twin. An opinion." Digital Twin 1 (September 22, 2021): 3. http://dx.doi.org/10.12688/digitaltwin.17440.1.

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The digital twin is often presented as the solution to Industry 4.0 and, while there are many areas where this may be the case, there is a risk that a reliance on existing machine learning methods will not be able to deliver the high level cognitive capabilities such as adaptability, cause and effect, and planning that Industry 4.0 requires. As the limitations of machine learning are beginning to be understood, the paradigm of strong artificial intelligence is emerging. The field of artificial cognitive systems is part of the strong artificial intelligence paradigm and is aimed at generating c

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Andriopoulos, Nikos, Konstantinos Plakas, Christos Mountzouris, et al. "Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints." Applied Sciences 13, no. 3 (2023): 1798. http://dx.doi.org/10.3390/app13031798.

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The upward trend of adopting Distributed Energy Resources (DER) reshapes the energy landscape and supports the transition towards a sustainable, carbon-free electricity system. The integration of Internet of Things (IoT) in Demand Response (DR) enables the transformation of energy flexibility, originated by electricity consumers/prosumers, into a valuable DER asset, thus placing them at the center of the electricity market. In this paper, it is shown how Local Energy Markets (LEM) act as a catalyst by providing a digital platform where the prosumers’ energy needs and offerings can be efficient

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Nikos, Andriopoulos, Plakas Konstantinos, Mountzouris Christos, et al. "Local Energy Market-Consumer Digital Twin Coordination for Optimal Energy Price Discovery under Thermal Comfort Constraints." Applied Sciences 13 (January 30, 2023): 1798. https://doi.org/10.3390/app13031798.

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The upward trend of adopting Distributed Energy Resources (DER) reshapes the energy landscape and supports the transition towards a sustainable, carbon-free electricity system. The integration of Internet of Things (IoT) in Demand Response (DR) enables the transformation of energy flexibility, originated by electricity consumers/prosumers, into a valuable DER asset, thus placing them at the center of the electricity market. In this paper, it is shown how Local Energy Markets (LEM) act as a catalyst by providing a digital platform where the prosumers’ energy needs and offerings can be eff

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Stefko, Robert, Katarina Frajtova-Michalikova, Jarmila Strakova, and Andrej Novak. "Digital twin-based virtual factory and cyber-physical production systems, collaborative autonomous robotic and networked manufacturing technologies, and enterprise and business intelligence algorithms for industrial metaverse business intelligence algorithms for industrial metaverse." Equilibrium. Quarterly Journal of Economics and Economic Policy 20, no. 1 (2025): 389–425. https://doi.org/10.24136/eq.3557.

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Research background: Cognitive computing and robotic technologies, enterprise digital twin system modeling, and sensory perception algorithms optimize industrial big data exchange and production collaboration, production floor management, and smart device 3D simulation and visualization in the Industry 5.0 metaverse and virtual shop floor environments. Enterprise metaverse business operations, multi-granularity cognitive computing, and industrial big data fusion simulation integrate virtual and augmented reality technologies, collaborative robotic and industrial cyber-physical production syste

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Andersen, Stacy, Mengtian Du, Nicole Roth, et al. "Early Differences in Cognition Associated With Familial Longevity and ApoE Genotype Using Digital Technology." Innovation in Aging 4, Supplement_1 (2020): 656–57. http://dx.doi.org/10.1093/geroni/igaa057.2264.

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Abstract Merging digital technologies with neuropsychological testing allows for collection of novel metrics that may reveal early, subtle differences in cognitive functioning. We examined whether digital pen metrics from the Clock Drawing Test (CDT) differentiate healthy agers (i.e., individuals with familial longevity) from spouses and individuals by APOE genotype. We used generalized estimating equations adjusted for sociodemographics, familial longevity, and APOE genotype. Among 1974 participants with correct clocks (mean age 71±10 years), familial longevity was associated with better cogn

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Tsakiridis, Nikolaos L., Nikiforos Samarinas, Eleni Kalopesa, and George C. Zalidis. "Cognitive Soil Digital Twin for Monitoring the Soil Ecosystem: A Conceptual Framework." Soil Systems 7, no. 4 (2023): 88. http://dx.doi.org/10.3390/soilsystems7040088.

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The digital twin concept has found widespread application across diverse industries. Herein, we present a comprehensive conceptual framework for the cognitive soil digital twin, which embodies the intricate physical reality of the soil ecosystem, aiding in its holistic monitoring and comprehension. The digital twin can seamlessly integrate a multitude of sensor data sources, including field Internet of Things sensors, remote sensing data, field measurements, digital cartography, surveys, and other Earth observation datasets. By virtue of its duality, this digital counterpart facilitates data o

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Diastuti Herfini, Dewi, Tasya Putri Iranti, and Yassela Luqi Nadhifah. "Empowering Indonesia's Local Brands." COMMENTATE: Journal of Communication Management 5, no. 2 (2024): 100–114. https://doi.org/10.37535/103005220243.

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This study highlights how Public Relations (PR) practitioners assist Indonesia's local Micro, Small, and Medium Enterprises (MSMEs) in the souvenir printing business for various needs. The products created by the local MSME named Ruaya are used by their clients to design digital campaigns aimed at developing better branding strategies and increasing customer awareness in marketing efforts. "The research focuses on two main issues: integrating the Cognitive Dissonance Theory (CDT) into Ruaya’s product branding and promotion, and developing strategies for employee training and leadership as the

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de Kerckhove, Derrick. "The personal digital twin, ethical considerations." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, no. 2207 (2021): 20200367. http://dx.doi.org/10.1098/rsta.2020.0367.

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The personal digital twin extends to individual persons, a concept that originated in engineering to twin complex machines with a digital simulation containing a model of its functions to monitor its past and present behaviour, and repair, correct, improve or otherwise ensure its optimal operation. Several independent trends in technological developments are seen to converge towards the elaboration of the digital replication of individual human data and life history, notably in health industries. Among the main ones, we consider the ubiquitous distribution of digital assistants, the rapid prog

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D’Amico, Rosario Davide, John Ahmet Erkoyuncu, Sri Addepalli, and Steve Penver. "Cognitive digital twin: An approach to improve the maintenance management." CIRP Journal of Manufacturing Science and Technology 38 (August 2022): 613–30. http://dx.doi.org/10.1016/j.cirpj.2022.06.004.

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Li, Zhe, Hui Xiao, Bo Wang, et al. "Design and Implementation of an Immersive Web-Based Digital Twin Steam Turbine System for Industrial Training." Information 15, no. 12 (2024): 800. https://doi.org/10.3390/info15120800.

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The steam turbine and its digital electro-hydraulic (DEH) control system constitute vital elements within thermal power generation. However, the complexity of the on-site environment and the high production costs of the equipment hinder users, especially novices, from fully understanding and mastering the operation mechanisms and production processes. In the realm of emerging technologies, the digital twin stands out as a powerful tool for enhancing industrial training and learning for students and operators in this field. This paper details the design and implementation of a web-based digital

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Shevchenko, Iryna. "TRADING DIGITAL TWIN AS AN INNOVATIVE TECHNOLOGY FOR ENSURING DIGITAL TRADE IN SUSTAINABLE DEVELOPMENT CONDITIONS." Actual Problems of International Relations, no. 161 (2024): 190–99. https://doi.org/10.17721/apmv.2024.161.1.190-199.

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The scientific work attempts to refine the concept of a digital twin. It is noted that the term "digital twin" is a general scientific term, and the possibility and method of applying digital twins are widely discussed across various fields, including economics, the oil and gas industry, education, and medicine, among others. Therefore, it can be applied in any sector. Within this study, the author proposes a definition specific to digital trade in global markets (as there is currently no universally accepted scientific definition). The scientific novelty of the proposed definition lies in the

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Wang, Yujia, Chen Wang, Bo Wu, et al. "A New Early Warning Method for Human-Computer Interaction of Alzheimer's Disease Patients Based on Deep Learning." Traitement du Signal 39, no. 5 (2022): 1655–62. http://dx.doi.org/10.18280/ts.390523.

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Alzheimer's disease (AD), an incurable disease, poses a major health problem. It is important to identify patients with mild cognitive impairment (MCI) and early AD. Clock rendering test (CDT) is an effect way to screen AD patients quickly in the community. However, the current CDT methods require specific equipment to collect features, and the existing prediction models are inefficient in early warning of MCI. To solve the problem, this paper replaces digital pen with fingertip interaction, and proposes an early warning model for AD early dCDT images based on ResNet50. The dCDT tests were car

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Wickramasinghe, Nilmini, Nalika Ulapane, Amir Andargoli, et al. "Digital twin of patient in clinical workflow." Proceedings of the Royal Society of Victoria 135, no. 2 (2023): 72–80. http://dx.doi.org/10.1071/rs23013.

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The concept of a digital twin being made use of in healthcare is an emerging research area. Digital twins in healthcare have the potential to enable more precise and personalised care, especially for patients experiencing chronic conditions. Previous work has identified digital twins as mathematical models. Digital twins have been classified as grey box, surrogate and black box models. Based on this classification, the black box models can handle data intensive and sophisticated problems. This makes black box models a candidate for constructing digital twins of patients. Such digital twins can

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Qian, Shuang, Devran Ugurlu, Elliot Fairweather, et al. "Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization." Nature Cardiovascular Research 4, no. 5 (2025): 624–36. https://doi.org/10.1038/s44161-025-00650-0.

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Abstract Large-cohort imaging and diagnostic studies often assess cardiac function but overlook underlying biological mechanisms. Cardiac digital twins (CDTs) are personalized physics-constrained and physiology-constrained in silico representations, uncovering multi-scale insights tied to these mechanisms. In this study, we constructed 3,461 CDTs from the UK Biobank and another 359 from an ischemic heart disease (IHD) cohort, using cardiac magnetic resonance images and electrocardiograms. We show here that sex-specific differences in QRS duration were fully explained by myocardial anatomy whil

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Herrero, Rolando, and Mallesham Dasari. "Edge-based physical asset and digital twin virtualization framework to support cognitive digital twins." Internet of Things 31 (May 2025): 101601. https://doi.org/10.1016/j.iot.2025.101601.

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Sierra, Cristobal, Shuva Paul, Akhlaqur Rahman, and Ambarish Kulkarni. "Development of a Cognitive Digital Twin for Pavement Infrastructure Health Monitoring." Infrastructures 7, no. 9 (2022): 113. http://dx.doi.org/10.3390/infrastructures7090113.

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A road network is the key foundation of any nation’s critical infrastructure. Pavements represent one of the longest-living structures, having a post-construction life of 20–40 years. Currently, most attempts at maintaining and repairing these structures are performed in a reactive and traditional fashion. Recent advances in technology and research have proposed the implementation of costly measures and time-intensive techniques. This research presents a novel automated approach to develop a cognitive twin of a pavement structure by implementing advanced modelling and machine learning techniqu

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Xu, Wenjun, Hang Yang, Zhenrui Ji, and Mengyuan Ba. "Cognitive digital twin-enabled multi-robot collaborative manufacturing: Framework and approaches." Computers & Industrial Engineering 194 (August 2024): 110418. http://dx.doi.org/10.1016/j.cie.2024.110418.

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Qi, Lei, Wenjun Xu, Kaipu Wang, et al. "Mixed-model product disassembly sequence optimization based on cognitive digital twin." Journal of Manufacturing Systems 82 (October 2025): 497–508. https://doi.org/10.1016/j.jmsy.2025.07.004.

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Fister, Iztok, Sancho Salcedo-Sanz, Andrés Iglesias, Dušan Fister, Akemi Gálvez, and Iztok Fister. "New Perspectives in the Development of the Artificial Sport Trainer." Applied Sciences 11, no. 23 (2021): 11452. http://dx.doi.org/10.3390/app112311452.

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The rapid development of computer science and telecommunications has brought new ways and practices to sport training. The artificial sport trainer, founded on computational intelligence algorithms, has gained momentum in the last years. However, artificial sport trainer usually suffers from a lack of automatisation in realization and control phases of the training. In this study, the Digital Twin is proposed as a framework for helping athletes, during realization of training sessions, to make the proper decisions in situations they encounter. The digital twin for artificial sport trainer is b

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Kliestik, Tomas, Pavol Kral, Martin Bugaj, and Pavol Durana. "Generative artificial intelligence of things systems, multisensory immersive extended reality technologies, and algorithmic big data simulation and modelling tools in digital twin industrial metaverse." Equilibrium. Quarterly Journal of Economics and Economic Policy 19, no. 2 (2024): 429–61. http://dx.doi.org/10.24136/eq.3108.

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Research background: Multi-modal synthetic data fusion and analysis, simulation and modelling technologies, and virtual environmental and location sensors shape the industrial metaverse. Visual digital twins, smart manufacturing and sensory data mining techniques, 3D digital twin simulation modelling and predictive maintenance tools, big data and mobile location analytics, and cloud-connected and spatial computing devices further immersive virtual spaces, decentralized 3D digital worlds, synthetic reality spaces, and the industrial metaverse. Purpose of the article: We aim to show that big dat

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Karimova, Luiza Kayumovna, and Anastasiia Selezneva. "Reconstruction of a historical personality through the prism of the digital twin concept: from databases to neural network models." Историческая информатика, no. 2 (February 2025): 143–63. https://doi.org/10.7256/2585-7797.2025.2.73666.

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In modern historical science, the term digital twin has not yet become widespread, although it is used in the field of related social sciences. At the same time, the concept of a digital twin carries potential versatility for describing various forms of digital representation of reconstructions of historical objects, including historical figures. In this regard, there is a need to develop a definition of a digital twin in relation to historical personalities, as well as to create a classification based on the level of complexity (maturity) of such twins. Classification criteria should take int

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Liang, Ce, Jun Zhu, Jinbin Zhang, et al. "A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles." ISPRS International Journal of Geo-Information 13, no. 3 (2024): 78. http://dx.doi.org/10.3390/ijgi13030078.

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It is essential to establish a digital twin scene, which helps to depict the dynamically changing geographical environment accurately. Digital twins could improve the refined management level of intelligent tunnel construction; however, research on geographical twin models primarily focuses on modeling and visual description, which has low analysis efficiency. This paper proposes a knowledge-guided intelligent analysis method for the geometric deformation of tunnel excavation profile twins. Firstly, a dynamic data-driven knowledge graph of tunnel excavation twin scenes was constructed to descr

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Camara Dit Pinto, Stélian, Dimitri Masson, Eric Villeneuve, Guy Boy, and Laetitia Urfels. "FROM REQUIREMENTS TO PROTOTYPING: APPLICATION OF HUMAN-SYSTEM INTEGRATION METHODOLOGY TO DIGITAL TWIN DESIGN." Proceedings of the Design Society 1 (July 27, 2021): 1617–26. http://dx.doi.org/10.1017/pds.2021.423.

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AbstractIndustrial digital transformation is bringing a need for new tools and concepts. However, designing such complex tools and concept requires methods to be correctly implemented. These methods are studied as part of system engineering to satisfy various identified goals, and more specifically human-system integration, which is the topic of this paper. This article introduces the method used to define key elements of human perception of reality called reality anchors to design scenarios to be tested in a digital twin prototype. This method goes from regulation study to user cognitive func

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Galuzin, Vladimir, Anastasia Galitskaya, Sergey Grachev, et al. "Autonomous Digital Twin of Enterprise: Method and Toolset for Knowledge-Based Multi-Agent Adaptive Management of Tasks and Resources in Real Time." Mathematics 10, no. 10 (2022): 1662. http://dx.doi.org/10.3390/math10101662.

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Digital twins of complex technical objects are widely applied for various domains, rapidly becoming smart, cognitive and autonomous. However, the problem of digital twins for autonomous management of enterprise resources is still not fully researched. In this paper, an autonomous digital twin of enterprise is introduced to provide knowledge-based multi-agent adaptive allocation, scheduling, optimization, monitoring and control of tasks and resources in real time, synchronized with employees’ plans, preferences and competencies via mobile devices. The main requirements for adaptive resource man

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Gu, Yi, Shuhang Li, Ji Qi, et al. "A cognitive digital twin approach to improving driver compliance and accident prevention." Accident Analysis & Prevention 211 (March 2025): 107913. https://doi.org/10.1016/j.aap.2024.107913.

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Nica, Elvira, Gheorghe H. Popescu, Milos Poliak, Tomas Kliestik, and Oana-Matilda Sabie. "Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks." Mathematics 11, no. 9 (2023): 1981. http://dx.doi.org/10.3390/math11091981.

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Relevant research has investigated how predictive modeling algorithms, deep-learning-based sensing technologies, and big urban data configure immersive hyperconnected virtual spaces in digital twin cities: digital twin modeling tools, monitoring and sensing technologies, and Internet-of-Things-based decision support systems articulate big-data-driven urban geopolitics. This systematic review aims to inspect the recently published literature on digital twin simulation tools, spatial cognition algorithms, and multi-sensor fusion technology in sustainable urban governance networks. We integrate r

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Ullah, Asif, Muhammad Younas, and Mohd Shahneel Saharudin. "Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality." Journal of Manufacturing and Materials Processing 9, no. 3 (2025): 79. https://doi.org/10.3390/jmmp9030079.

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In the ever-changing world of modern manufacturing, maintaining product quality is of great importance, yet extremely difficult due to complexities and the dynamic production paradigm. Currently, quality is rather reactively measured through periodic inspections and manual assessments. Traditional quality management systems (QMS), through these reactive measures, are often inefficient because of their higher operational cost and delayed defect detection and mitigation. The paper introduces a novel cognitive twin (CT) framework, which is the next evolved version of digital twin (DT). It is desi

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Nozari, Hamed, Hossein Abdi, and Naser Heidari. "Robust-Fuzzy Optimization Model for Personalized Digital Advertising with a Digital Twin and Cognitive Intelligence Approach." Journal of Future Digital Optimization 1, no. 3 (2025): 1–20. https://doi.org/10.63630/jfdo.13.1.

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Gong, Xueqian, Zhanyuan Zhu, Li Guo, et al. "Perceptual-Preference-Based Touring Routes in Xishu Gardens Using Panoramic Digital-Twin Modeling." Land 14, no. 5 (2025): 932. https://doi.org/10.3390/land14050932.

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Xishu Gardens, an exemplary narrative of classical Chinese gardens, faces challenges in preserving its commemorative spatial structures while accommodating modern visitors’ needs. While trajectory analysis is critical, existing studies struggle to interpret multi-dimensional perception-preference data owing to spatiotemporal mismatches in multi-source datasets. This study adopted an improved Ward–K-medoids hybrid clustering algorithm to analyze 885 trajectory samples and 34,384 synchronized data points capturing emotional valence, cognitive evaluations, and dwell time behaviors via panoramic d

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Yuan, Jing, David J. Libon, Cody Karjadi, et al. "Association Between the Digital Clock Drawing Test and Neuropsychological Test Performance: Large Community-Based Prospective Cohort (Framingham Heart Study)." Journal of Medical Internet Research 23, no. 6 (2021): e27407. http://dx.doi.org/10.2196/27407.

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Background The Clock Drawing Test (CDT) has been widely used in clinic for cognitive assessment. Recently, a digital Clock Drawing Text (dCDT) that is able to capture the entire sequence of clock drawing behaviors was introduced. While a variety of domain-specific features can be derived from the dCDT, it has not yet been evaluated in a large community-based population whether the features derived from the dCDT correlate with cognitive function. Objective We aimed to investigate the association between dCDT features and cognitive performance across multiple domains. Methods Participants from t

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Spanò, Antonia, Giacomo Patrucco, Giulia Sammartano, et al. "Digital Twinning for 20th Century Concrete Heritage: HBIM Cognitive Model for Torino Esposizioni Halls." Sensors 23, no. 10 (2023): 4791. http://dx.doi.org/10.3390/s23104791.

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In the wide scenario of heritage documentation and conservation, the multi-scale nature of digital models is able to twin the real object, as well as to store information and record investigation results, in order to detect and analyse deformation and materials deterioration, especially from a structural point of view. The contribution proposes an integrated approach for the generation of an n-D enriched model, also called a digital twin, able to support the interdisciplinary investigation process conducted on the site and following the processing of the collected data. Particularly for 20th C

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Kabashkin, Igor. "Development of Digital Training Twins in the Aircraft Maintenance Ecosystem." Algorithms 18, no. 7 (2025): 411. https://doi.org/10.3390/a18070411.

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This paper presents an integrated digital training twin framework for adaptive aircraft maintenance education, combining real-time competence modeling, algorithmic orchestration, and cloud–edge deployment architectures. The proposed system dynamically evaluates learner skill gaps and assigns individualized training resources through a multi-objective optimization function that balances skill alignment, Bloom’s cognitive level, fidelity tier, and time efficiency. A modular orchestration engine incorporates reinforcement learning agents for policy refinement, federated learning for privacy-prese

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Musina, D. R., A. V. Yangirov, and S. V. Kharitonov. "Cognitive Model of Regional Agricultural Sector." IOP Conference Series: Earth and Environmental Science 988, no. 3 (2022): 032010. http://dx.doi.org/10.1088/1755-1315/988/3/032010.

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Abstract In this article, the authors suggest complementing the strategical management methods for the agricultural sector of the region with cognitive modeling technologies. In particular, they developed an integrated cognitive management model comprising two identifying models: the cognitive model of the research subject (the regional agricultural sector) and the cognitive model of the environment (the static model of the region’s agricultural sector), as well as the dynamic cognitive model that allows for the modeling of controlling actions in the sector and assess the results of management

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Jacoby, Michael, and Thomas Usländer. "Digital Twin and Internet of Things—Current Standards Landscape." Applied Sciences 10, no. 18 (2020): 6519. http://dx.doi.org/10.3390/app10186519.

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Industry 4.0 is revolutionizing industrial production by bridging the physical and the virtual worlds and further improving digitalization. Two essential building blocks in industry 4.0 are digital twins (DT) and the internet of things (IoT). While IoT is about connecting resources and collecting data about the physical world, DTs are the virtual representations of resources organizing and managing information and being tightly integrated with artificial intelligence, machine learning and cognitive services to further optimize and automate production. The concepts of DTs and IoT are overlappin

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Thipphayasaeng, Phimphan, Pallop Piriyasurawong, and Sant Phanichsiti. "Digital Twins-Based Cognitive Apprenticeship Model in Smart Agriculture." International Journal of Interactive Mobile Technologies (iJIM) 18, no. 12 (2024): 72–84. http://dx.doi.org/10.3991/ijim.v18i12.46847.

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Applying digital technologies in education has been proven to have several positive impacts on teaching and learning. Digital twins have the potential to revolutionize education by offering immersive and interactive learning experiences. They can simulate virtual environments, enabling students to conduct experiments, practice techniques, and observe outcomes in a safe and cost-effective setting, particularly when access to physical laboratories is limited or expensive. This work proposes a learning management model that applies cognitive apprenticeship learning theory as a framework for learn

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Geuer, Lena, Frederik Lauer, Jochen Kuhn, Norbert Wehn, and Roland Ulber. "SmaEPho–Smart Photometry in Education 4.0." Education Sciences 13, no. 2 (2023): 136. http://dx.doi.org/10.3390/educsci13020136.

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Digitization offers new perspectives for educational research to identify the effects of visualizations regarding cognitive processing. In addition, new types of data can be generated, expanding the possibilities for visualizing cognitive processes and understanding human learning. Digital twins are already used in Industry 4.0, as an additional visualization to a real object, for data mining and data analysis for process optimization. The increasing integration of digital twins in the industrial sector requires the formulation of corresponding educational goals to ensure high-quality and futu

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Jiang, Qian Wen, and Eun Ran Joh. "A Study on the Characteristics of Space Experience of Virtual Reality Museum: Based on Embodied Cognition Theory." Korea Institute of Design Research Society 9, no. 2 (2024): 142–51. http://dx.doi.org/10.46248/kidrs.2024.2.142.

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This paper explores the application of media in virtual reality museums, analyzing the cultural aspects of museums and the cognitive aspects of visitors. The study redefines the concept of the “embodied body” from embodied cognition theory to support virtual reality museum spaces and assess their effectiveness for exhibits. It examines the advantages of digital media and seeks innovations to improve current displays. The findings suggest that enhancing bodily participation and the authenticity of digital twin environments, along with improving temporal dynamics and narrative interactivity, can

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