Design and Implementation of Adaptive Protection Strategy for 0.4kV Safety Anti Electric Shock Maintenance Power Box in Smart Grid
, , , et
17 mars 2025
À propos de cet article
Publié en ligne: 17 mars 2025
Reçu: 17 oct. 2024
Accepté: 06 févr. 2025
DOI: https://doi.org/10.2478/amns-2025-0316
Mots clés
© 2025 Yong Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Recognition results of inexperienced faces
| Methods | Accuracy | Miss rate | Detection rate |
|---|---|---|---|
| Eigenfaces | 81.2% | 18.8% | 95.7% |
| Fisherfaces | 75.8% | 24.2% | 96.2% |
| LBPH | 82.7% | 17.3% | 96.5% |
| Our method | 95.3% | 4.7% | 98.9% |
Face recognition results
| Face rotation Angle | Our model(%) | LLR(%) | Gaussian regression(%) |
|---|---|---|---|
| 25° | 97.36 | 98.73 | |
| 40° | 89.83 | 90.27 | |
| 55° | 85.25 | 88.60 | |
| 70° | 82.53 | 87.37 |
The comparison of sample recognition accuracy and time consuming
| Subject | Method/sample size | 1000 | 2000 | 3000 | 4000 | 5000 |
|---|---|---|---|---|---|---|
| Accuracy (%) | Code scanning | 97.82 | 98.21 | 98.11 | 97.69 | 97.62 |
| Ours | 99.03 | 99.03 | 98.88 | 98.73 | 98.93 | |
| Time (ms) | Code scanning | 142 | 655 | 1132 | 2077 | 3352 |
| Ours | 38 | 55 | 72 | 80 | 87 |
Safety identification results
| Sample size/group | Accuracy(%) | |||||
|---|---|---|---|---|---|---|
| Our method | PCA-SVM | LBP | PCA-LDA-SVM | LBP+MB-LBP | LBP+LDRC-Fisher | |
| 500 | 99.23 | 97.37 | 96.15 | 92.53 | 90.62 | 88.72 |
| 1000 | 99.03 | 97.56 | 97.51 | 92.38 | 90.38 | 88.72 |
| 2000 | 99.03 | 97.41 | 96.93 | 92.87 | 89.50 | 89.98 |
| 3000 | 98.88 | 97.22 | 96.54 | 91.79 | 88.52 | 88.03 |
| 4000 | 98.73 | 97.61 | 97.47 | 92.09 | 89.01 | 89.40 |
| 5000 | 98.93 | 96.83 | 96.34 | 91.79 | 89.30 | 87.74 |