Timing data visualization: tactical intent recognition and portable framework
By transforming time series into images, a robust and transferable tactical intent recognition framework was proposed, which integrated curve filtering technology and the EfficientNetV2 image recognition network. Curve filtering technology effectively reduced redundancy in numerous time-domain featu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024154/ |
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| _version_ | 1841539236395745280 |
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| author | SONG Yafei LI Lemin QUAN Wen NI Peng WANG Ke |
| author_facet | SONG Yafei LI Lemin QUAN Wen NI Peng WANG Ke |
| author_sort | SONG Yafei |
| collection | DOAJ |
| description | By transforming time series into images, a robust and transferable tactical intent recognition framework was proposed, which integrated curve filtering technology and the EfficientNetV2 image recognition network. Curve filtering technology effectively reduced redundancy in numerous time-domain features, model parameters, and training time, an enhanced Gramian angular field (GAF) method was proposed to encode time series into images, enhancing the feature extraction capabilities of convolutional neural networks. The EfficientNetV2 network was adept at processing intent images and could serve as a pre-trained model, facilitating transfer learning across different systems. Experimental results demonstrate that the proposed framework achieves over 0.99% higher accuracy compared to machine learning and deep learning methods, exhibiting superior performance, scalability, robustness, and transferability. |
| format | Article |
| id | doaj-art-d5787eeb36994a2a9f5df7989ce74f1d |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-d5787eeb36994a2a9f5df7989ce74f1d2025-01-14T07:24:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-08-014514916569426376Timing data visualization: tactical intent recognition and portable frameworkSONG YafeiLI LeminQUAN WenNI PengWANG KeBy transforming time series into images, a robust and transferable tactical intent recognition framework was proposed, which integrated curve filtering technology and the EfficientNetV2 image recognition network. Curve filtering technology effectively reduced redundancy in numerous time-domain features, model parameters, and training time, an enhanced Gramian angular field (GAF) method was proposed to encode time series into images, enhancing the feature extraction capabilities of convolutional neural networks. The EfficientNetV2 network was adept at processing intent images and could serve as a pre-trained model, facilitating transfer learning across different systems. Experimental results demonstrate that the proposed framework achieves over 0.99% higher accuracy compared to machine learning and deep learning methods, exhibiting superior performance, scalability, robustness, and transferability.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024154/time series codingintention recognitionimage classificationcurve filteringGramian angular fieldEfficientNetV2 |
| spellingShingle | SONG Yafei LI Lemin QUAN Wen NI Peng WANG Ke Timing data visualization: tactical intent recognition and portable framework Tongxin xuebao time series coding intention recognition image classification curve filtering Gramian angular field EfficientNetV2 |
| title | Timing data visualization: tactical intent recognition and portable framework |
| title_full | Timing data visualization: tactical intent recognition and portable framework |
| title_fullStr | Timing data visualization: tactical intent recognition and portable framework |
| title_full_unstemmed | Timing data visualization: tactical intent recognition and portable framework |
| title_short | Timing data visualization: tactical intent recognition and portable framework |
| title_sort | timing data visualization tactical intent recognition and portable framework |
| topic | time series coding intention recognition image classification curve filtering Gramian angular field EfficientNetV2 |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024154/ |
| work_keys_str_mv | AT songyafei timingdatavisualizationtacticalintentrecognitionandportableframework AT lilemin timingdatavisualizationtacticalintentrecognitionandportableframework AT quanwen timingdatavisualizationtacticalintentrecognitionandportableframework AT nipeng timingdatavisualizationtacticalintentrecognitionandportableframework AT wangke timingdatavisualizationtacticalintentrecognitionandportableframework |