Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations
Abstract Modeling the Digital Twin (DT) is an important resource for accurately representing the physical entity, enabling it to deliver functional services, meet application requirements, and address the disturbances between the physical and digital realms. This article introduces the Log Mean Kine...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84997-7 |
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| author | Fabiano Stingelin Cardoso Tacildo de Souza Araújo Ronnier Frates Rohrich André Schneider de Oliveira |
| author_facet | Fabiano Stingelin Cardoso Tacildo de Souza Araújo Ronnier Frates Rohrich André Schneider de Oliveira |
| author_sort | Fabiano Stingelin Cardoso |
| collection | DOAJ |
| description | Abstract Modeling the Digital Twin (DT) is an important resource for accurately representing the physical entity, enabling it to deliver functional services, meet application requirements, and address the disturbances between the physical and digital realms. This article introduces the Log Mean Kinematics Difference Synchronization (SyncLMKD) to measure the kinematic variations distributed among Digital Twin elements to ensure symmetric values relative to a reference. The proposed method employs abductive reasoning and draws inspiration from the Log Mean Temperature Difference (LMTD). The SyncLMKD is applied to measure kinematic variations among mobile robot entities in a DT representation, and it operates following the progression of displacement. A suitable synchronization technique was also developed for experiments based on this method. The main advantage of the SyncLMKD is its high precision in displacement measurement and predictability of distances between counterparts and the dynamic target of the Digital Twin, all while requiring low computational effort. The approach was tested with robots positioned at various locations and speeds to achieve synchronization among them. The SyncLMKD method demonstrated a precision of $$10^{-4}$$ in measuring the distances between elements, achieving synchronized movement of the counterparts with speed adjustments facilitated by the synchronization technique, with percentages ranging from 150 to 200%. |
| format | Article |
| id | doaj-art-70802806ebb647b0922d2b8b2b1eca49 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-70802806ebb647b0922d2b8b2b1eca492025-01-05T12:14:47ZengNature PortfolioScientific Reports2045-23222025-01-0115111510.1038/s41598-024-84997-7Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variationsFabiano Stingelin Cardoso0Tacildo de Souza Araújo1Ronnier Frates Rohrich2André Schneider de Oliveira3Department of Information Systems, Federal Institute of Paraná (IFPR)Department of Mathematics, Federal Institute of Amazonas (IFAM)Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná (UTFPR)Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná (UTFPR)Abstract Modeling the Digital Twin (DT) is an important resource for accurately representing the physical entity, enabling it to deliver functional services, meet application requirements, and address the disturbances between the physical and digital realms. This article introduces the Log Mean Kinematics Difference Synchronization (SyncLMKD) to measure the kinematic variations distributed among Digital Twin elements to ensure symmetric values relative to a reference. The proposed method employs abductive reasoning and draws inspiration from the Log Mean Temperature Difference (LMTD). The SyncLMKD is applied to measure kinematic variations among mobile robot entities in a DT representation, and it operates following the progression of displacement. A suitable synchronization technique was also developed for experiments based on this method. The main advantage of the SyncLMKD is its high precision in displacement measurement and predictability of distances between counterparts and the dynamic target of the Digital Twin, all while requiring low computational effort. The approach was tested with robots positioned at various locations and speeds to achieve synchronization among them. The SyncLMKD method demonstrated a precision of $$10^{-4}$$ in measuring the distances between elements, achieving synchronized movement of the counterparts with speed adjustments facilitated by the synchronization technique, with percentages ranging from 150 to 200%.https://doi.org/10.1038/s41598-024-84997-7ModelingDigital twinSyncLMKD methodKinematic variationsSynchronization technique |
| spellingShingle | Fabiano Stingelin Cardoso Tacildo de Souza Araújo Ronnier Frates Rohrich André Schneider de Oliveira Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations Scientific Reports Modeling Digital twin SyncLMKD method Kinematic variations Synchronization technique |
| title | Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations |
| title_full | Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations |
| title_fullStr | Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations |
| title_full_unstemmed | Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations |
| title_short | Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations |
| title_sort | modeling evaluation and metrics performance of the synclmkd in distributed kinematics variations |
| topic | Modeling Digital twin SyncLMKD method Kinematic variations Synchronization technique |
| url | https://doi.org/10.1038/s41598-024-84997-7 |
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