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A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Ziqi Huang, Yang Shen, Jiayi Li, Marcel Fey, Christian Brecher
2021 Sensors 21(19)  
), and composite material processing (Section 2.4.2.3).  ...  One level higher, at the controller stage, Verner et al. implemented online reinforcement learning via a fabricated digital twin, to enable a humanoid robot to lift a weight of unknown mass through autonomous  ... 
doi:10.18154/rwth-2021-09877 fatcat:yjhprcascvfutisat7olust3kq

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics

Ziqi Huang, Yang Shen, Jiayi Li, Marcel Fey, Christian Brecher
2021 Sensors  
Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent years and are considered by both academia and industry to be key enablers for Industry 4.0.  ...  As a digital replica of a physical entity, the basis of DT is the infrastructure and data, the core is the algorithm and model, and the application is the software and service.  ...  One level higher, at the controller stage, Verner et al. implemented online reinforcement learning via a fabricated digital twin, to enable a humanoid robot to lift a weight of unknown mass through autonomous  ... 
doi:10.3390/s21196340 pmid:34640660 fatcat:qy3qiazvqrejvfuixudd6ywqsq

Smart Manufacturing Technology

Michele Calì
2021 Applied Sciences  
This Special Issue of Applied Sciences provides a collection of original papers on smart manufacturing technology with the aim of: examining emerging aspects of digitalization in the industrial and biomedical  ...  innovation and productivity—as well as sustainability—by applying smart manufacturing technologies; and exploring new ideas and encouraging research directions so as to obtain autonomous and semiautonomous processes  ...  developing digital models that form the digital twin connected with a real manufacturing system in order to propose a five-step approach to planning data-driven digital twins of these systems and processes  ... 
doi:10.3390/app11178202 fatcat:xmvuh25tgrbdhmtz3ulvc4tvzm

Sustainable Development of Smart Manufacturing Driven by the Digital Twin Framework: A Statistical Analysis

Vivek Warke, Satish Kumar, Arunkumar Bongale, Ketan Kotecha
2021 Sustainability  
In the current scenario of Industry 4.0, industries are shaping themselves towards the development of customized and cost-effective processes to satisfy customer needs with the aid of a digital twin framework  ...  twin.  ...  LIDAR Sensor, Camera Markov Decision Process (MDP) The approach reduces the human efforts in roots decision-making and makes robots intelligent through the perception from the machine learning  ... 
doi:10.3390/su131810139 fatcat:l4sgdd4ixzfwbebpgpwha7456i

A Multi-Model Approach for Simulation-Based Digital Twin in Resilient Services

Arnis Lektauers, Jelena Pecerska, Vitalijs Bolsakovs, Andrejs Romanovs, Janis Grabis, Artis Teilans
2021 WSEAS transactions on systems and control  
The current work presents a multi-model approach for simulation-based digital twins as a formal and technological foundation for the analysis and improvement of resilient services.  ...  The digital twin module is a composite multimodelling simulation framework implementing a generic concept of modular composite digital twin [6] consisting of multiple discrete digital twins that are  ...  Modelling and Simulation (M&S) for a long time is used as a decision-making tool for a wide range of complex problem solutions including the application in digital twins.  ... 
doi:10.37394/23203.2021.16.10 fatcat:dlm6bh3zrfbs5pw6z7lgmargra

Forecasting of Disassembly Waste Generation under Uncertainties Using Digital Twinning-Based Hidden Markov Model

Yinsheng Yang, Gang Yuan, Jiaxiang Cai, Silin Wei
2021 Sustainability  
First, digital twinning technology is used for real-time data interaction between simulation prediction and decision evaluation.  ...  , and the hidden Markov model (DG-HMM).  ...  We integrate digital twinning, Gaussian mixture, and a hidden Markov model for dynamic prediction of disassembly waste generation.  ... 
doi:10.3390/su13105391 fatcat:qsdziqqhefgzxhfybciq4mo5me

Performance enhancement for audio-visual speaker identification using dynamic facial muscle model

Vahid Asadpour, Farzad Towhidkhah, Mohammad Mehdi Homayounpour
2006 Medical and Biological Engineering and Computing  
These parameters are applied to a hidden Markov model (HMM) audio-visual identification system.  ...  The superior performance of the proposed system is demonstrated on a large multispeaker database of continuously spoken digits, along with a sentence that is phonetically rich.  ...  An audio-visual coupled Markov model is used for each speaker. Every digit is modeled with seven states and training algorithm separates digits using silent gaps between them.  ... 
doi:10.1007/s11517-006-0106-5 pmid:17031716 fatcat:icg3ipaxw5chziwfnpkqiyzsle

On Applying Machine Learning and Simulative Approaches to Railway Asset Management: The Earthworks and Track Circuits Case Studies

Alice Consilvio, José Solís-Hernández, Noemi Jiménez-Redondo, Paolo Sanetti, Federico Papa, Iñigo Mingolarra-Garaizar
2020 Sustainability  
The framework is composed by different building blocks, in order to show the complete process from data collection and knowledge extraction to the real-world decisions.  ...  management process.  ...  The digital twin is a dynamic digital representation of an asset, system, or process [38] .  ... 
doi:10.3390/su12062544 fatcat:g3ejy6e745ap7etvzxr7cxyvki

Holistic Technologies for Managing Internet of Things Services

Rajiv Ranjan, Ching-Hsien Hsu, Lydia Y. Chen, Dimitrios Georgakopoulos
2020 IEEE Transactions on Services Computing  
Index Terms-Internet of Things, IoT security and privacy, IoT data processing R. Ranjan is with the  ...  Novel contributions include an Action-aware High-order Transition Tensor (AHTT) to fuse the heterogeneous data from Mobile IoT in a unified form, a Multi-modal Markov Decision Process (MMDP) to model the  ...  decision process to design a Buoy Sensor Cyberattack detection (PBSC) technique.  ... 
doi:10.1109/tsc.2020.3000844 fatcat:okmbpi6dx5dnvj2mglqhco2aeq

Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning [article]

Steven L. Brunton, J. Nathan Kutz, Krithika Manohar, Aleksandr Y. Aravkin, Kristi Morgansen, Jennifer Klemisch, Nicholas Goebel, James Buttrick, Jeffrey Poskin, Agnes Blom-Schieber, Thomas Hogan, Darren McDonald
2020 arXiv   pre-print
Figure 10 : 10 Schematic overview of digital verification and validation processes, integrated with digital twin technology and optimized via machine learning.  ...  Typically, it is assumed that the state evolves according to a Markov decision process, so that the probability of the system occurring in the current state is determined only by the previous state.  ... 
arXiv:2008.10740v1 fatcat:wjbnr2wqibhebe64qnlyhvykdm

Determination of the mixing time in a discontinuous powder mixer by using image analysis

Björn Daumann, Abdelkrim Fath, Harald Anlauf, Hermann Nirschl
2009 Chemical Engineering Science  
Furthermore, the authors want to thank Firma ELBA-WERK Maschinen-Gesellschaft mbH for making available the twin-shaft-paddle laboratory mixer and the experimental products.  ...  The individual digital images, taken during the mixing process, can be analyzed via the Matlab ® Image Processing Toolbox and the mixing efficiency can be determined from that.  ...  Such a process is also referred to as the Markov-process, to Müller (1966) , after neglecting the transport term T.  ... 
doi:10.1016/j.ces.2009.01.032 fatcat:zc5ey7e23fbyjbw7kfezpnajiq

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions

Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Pooja Kamat, Shruti Patil, Ketan Kotecha
2021 IEEE Access  
DIGITAL TWIN (DT): Digital twin (DT) is the hybrid simulated version of the physical and data-driven machinery setup.  ...  This physics-based model includes a Gaussian mixture model [58] , Markov process model [59] , etc.  ... 
doi:10.1109/access.2021.3101284 fatcat:dutkyyqzzbhmxg64scvhuoldly

A survey of methods and strategies in character segmentation

R.G. Casey, E. Lecolinet
1996 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Character segmentation has long been a critical area of the OCR process.  ...  Jianchang Mao read early drafts of the paper and offered critical commentaries that have been of great use in the revision process.  ...  It is one of the decision processes in a system for optical character recognition (OCR).  ... 
doi:10.1109/34.506792 fatcat:jxlca7tthvgslazh57y5ki3fke

All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda [article]

Lik-Hang Lee, Tristan Braud, Pengyuan Zhou, Lin Wang, Dianlei Xu, Zijun Lin, Abhishek Kumar, Carlos Bermejo, Pan Hui
2021 arXiv   pre-print
Such virtual environments, albeit non-perpetual and unconnected, have bought us various degrees of digital transformation.  ...  The term 'metaverse' has been coined to further facilitate the digital transformation in every aspect of our physical lives.  ...  [458] transformed the problem of energyaware VR experience to a Markov decision process and realised immersive wireless VR experience using pervasive edge computing. Gupta et al.  ... 
arXiv:2110.05352v3 fatcat:pv4fxf5lfbc7vk3ogsyidwfloy

Artificial Intelligence and Its Applications

Yudong Zhang, Saeed Balochian, Praveen Agarwal, Vishal Bhatnagar, Orwa Jaber Housheya
2014 Mathematical Problems in Engineering  
In the paper entitled "Composite broadcasting and ranging via a satellite dual-frequency MPPSK system, " Y.  ...  The approach is based on MPPSK modulation waveforms utilized in digital video broadcasting.  ...  In the paper entitled "Composite broadcasting and ranging via a satellite dual-frequency MPPSK system, " Y.  ... 
doi:10.1155/2014/840491 fatcat:alknl2oy4faobn5cmcewgdroe4
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