Research on Teaching Resource Management in Colleges and Universities Based on Multiple Data Chain Networks
In this paper, we first take the datalink network as the entry point and construct a university teaching resource management model based on a multivariate datalink network. A Link-22 data chain time synchronization algorithm with KF-RTPT is proposed to address the actual existence and unavoidable ti...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns.2023.2.01520 |
| _version_ | 1797340569932922880 |
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| author | Wang Kunpeng |
| author_facet | Wang Kunpeng |
| author_sort | Wang Kunpeng |
| collection | DOAJ |
| description | In this paper, we first take the datalink network as the entry point and construct a university teaching resource management model based on a multivariate datalink network. A Link-22 data chain time synchronization algorithm with KF-RTPT is proposed to address the actual existence and unavoidable time deviation based on accuracy and timestamp acquisition errors. Meanwhile, a time slot allocation and optimization algorithm designed to maximize message transmission benefits is being developed to optimize the allocation of node time slot requirements. Finally, the constructed teaching resource management model is empirically analyzed from three perspectives: error optimization, dynamic time slot allocation, and model application effect. According to the findings, the KF-RTPT algorithm increases motion error efficiency by 3.83 in low-speed motion states and 8.16 in high-speed motion states when compared to the conventional RTT method. This effectively eliminates motion error and boosts the effectiveness of teaching and managing resources in colleges and universities. |
| first_indexed | 2024-03-08T10:04:56Z |
| format | Article |
| id | doaj.art-b2a26afbc3e544f78cf8de1505f6b280 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:04:56Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-b2a26afbc3e544f78cf8de1505f6b2802024-01-29T08:52:43ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01520Research on Teaching Resource Management in Colleges and Universities Based on Multiple Data Chain NetworksWang Kunpeng01Office of Academic Affairs, Changzhou Institute of Technology, Changzhou, Jiangsu, 213022, China.In this paper, we first take the datalink network as the entry point and construct a university teaching resource management model based on a multivariate datalink network. A Link-22 data chain time synchronization algorithm with KF-RTPT is proposed to address the actual existence and unavoidable time deviation based on accuracy and timestamp acquisition errors. Meanwhile, a time slot allocation and optimization algorithm designed to maximize message transmission benefits is being developed to optimize the allocation of node time slot requirements. Finally, the constructed teaching resource management model is empirically analyzed from three perspectives: error optimization, dynamic time slot allocation, and model application effect. According to the findings, the KF-RTPT algorithm increases motion error efficiency by 3.83 in low-speed motion states and 8.16 in high-speed motion states when compared to the conventional RTT method. This effectively eliminates motion error and boosts the effectiveness of teaching and managing resources in colleges and universities.https://doi.org/10.2478/amns.2023.2.01520data chain networktime deviationkf-rtpttime slot allocation and optimizationteaching resource management97c70 |
| spellingShingle | Wang Kunpeng Research on Teaching Resource Management in Colleges and Universities Based on Multiple Data Chain Networks Applied Mathematics and Nonlinear Sciences data chain network time deviation kf-rtpt time slot allocation and optimization teaching resource management 97c70 |
| title | Research on Teaching Resource Management in Colleges and Universities Based on Multiple Data Chain Networks |
| title_full | Research on Teaching Resource Management in Colleges and Universities Based on Multiple Data Chain Networks |
| title_fullStr | Research on Teaching Resource Management in Colleges and Universities Based on Multiple Data Chain Networks |
| title_full_unstemmed | Research on Teaching Resource Management in Colleges and Universities Based on Multiple Data Chain Networks |
| title_short | Research on Teaching Resource Management in Colleges and Universities Based on Multiple Data Chain Networks |
| title_sort | research on teaching resource management in colleges and universities based on multiple data chain networks |
| topic | data chain network time deviation kf-rtpt time slot allocation and optimization teaching resource management 97c70 |
| url | https://doi.org/10.2478/amns.2023.2.01520 |
| work_keys_str_mv | AT wangkunpeng researchonteachingresourcemanagementincollegesanduniversitiesbasedonmultipledatachainnetworks |