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| HDDModel | Capacity | AttackFrequency<br>Window(s)(Hz) | | --- | --- | --- | | WD3200AAKS-75L9A0 | 320GB | [2,300-2,510] | | WD5000AAKS-75A7B0 | 500GB | [2,240-2,520]<br>[3,800-4,020]<br>[4,725-5,006] |
| WD10EZEX-08WN4A0 | 1TB | [2,265-2,281]<br>[2,455-2,503]<br>[6,700-6,845]<br>[8,212-8,873]<br>[12,839-12,840] | | --- | --- | --- | | WD40EZRZ-00GXCB0 | 4TB | [4,590-6,550]<br>[7,502-7,900]<br>[8,398-8,618]<br>[9,420-10,200] |
1
| HDDModel | Capacity | AttackFrequency<br>Window(s)(Hz) | | --- | --- | --- | | WD3200AAKS-75L9A0 | 320GB | [2,300-2,510] | | WD5000AAKS-75A7B0 | 500GB | [2,240-2,520]<br>[3,800-4,020]<br>[4,725-5,006] |
| Input | KMC2 | Kmerlight | | --- | --- | --- | | 23billion<br>21-mers | 2350sec-<br>(1GBRAM,20GBHDD) | 1395sec(120MBRAM) | | 9.2billion<br>63-mers | Abort-(1GBRAM)<br>3150sec-<br>(2GBRAM,42GBHDD) | 995sec(120MBRAM)<br>1200sec(500MBRAM)<br>1291sec(960MBRAM) | | 144billion<br>63-mers | 4.5hr-<br>(32GBRAM,264GBHDD) | 2hr10min(120MBRAM) | | 61billion<br>85-mers | Abort-(32GBRAM)<br>2hr20min-<br>(64GBRAM,250GBHDD) | 1hr10min(120MBRAM) |
0
| HDDModel | Capacity | AttackFrequency<br>Window(s)(Hz) | | --- | --- | --- | | WD3200AAKS-75L9A0 | 320GB | [2,300-2,510] | | WD5000AAKS-75A7B0 | 500GB | [2,240-2,520]<br>[3,800-4,020]<br>[4,725-5,006] |
| WD10EZEX-08WN4A0 | 1TB | [2,265-2,281]<br>[2,455-2,503]<br>[6,700-6,845]<br>[8,212-8,873]<br>[12,839-12,840] | | --- | --- | --- | | WD40EZRZ-00GXCB0 | 4TB | [4,590-6,550]<br>[7,502-7,900]<br>[8,398-8,618]<br>[9,420-10,200] |
1
| HDDModel | Capacity | AttackFrequency<br>Window(s)(Hz) | | --- | --- | --- | | WD3200AAKS-75L9A0 | 320GB | [2,300-2,510] | | WD5000AAKS-75A7B0 | 500GB | [2,240-2,520]<br>[3,800-4,020]<br>[4,725-5,006] |
| 144billion<br>63-mers | 4.5hr-<br>(32GBRAM,264GBHDD) | 2hr10min(120MBRAM) | | --- | --- | --- | | 61billion<br>85-mers | Abort-(32GBRAM)<br>2hr20min-<br>(64GBRAM,250GBHDD) | 1hr10min(120MBRAM) |
0
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| vertex | type | index | ValueofT[i] | setSi | | --- | --- | --- | --- | --- | | pi | 1 | 1 | 0,1,2or3 | v∈Sii | | si | 2 | 1 | 1or2 | S={h}orS={l}iiii | | qi | 2 | 1 | 3 | S={h,l}iii | | ri | 2 | 2 | 3 | S={h,m}iii |
| ti | 3 | 1 | 0or2 | S={m}orS=Φiii | | --- | --- | --- | --- | --- | | ui | 4 | 1 | 0or2 | S={m}orS=Φiii |
1
| vertex | type | index | ValueofT[i] | setSi | | --- | --- | --- | --- | --- | | pi | 1 | 1 | 0,1,2or3 | v∈Sii | | si | 2 | 1 | 1or2 | S={h}orS={l}iiii | | qi | 2 | 1 | 3 | S={h,l}iii | | ri | 2 | 2 | 3 | S={h,m}iii |
| s | si | sj | τ(s\|s,s)ij | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 1−a<br>0<br>0<br>a | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>1 | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 1-a<br>0<br>0<br>a | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>1 |
0
| vertex | type | index | ValueofT[i] | setSi | | --- | --- | --- | --- | --- | | pi | 1 | 1 | 0,1,2or3 | v∈Sii |
| si | 2 | 1 | 1or2 | S={h}orS={l}iiii | | --- | --- | --- | --- | --- | | qi | 2 | 1 | 3 | S={h,l}iii | | ri | 2 | 2 | 3 | S={h,m}iii | | ti | 3 | 1 | 0or2 | S={m}orS=Φiii | | ui | 4 | 1 | 0or2 | S={m}orS=Φiii |
1
| vertex | type | index | ValueofT[i] | setSi | | --- | --- | --- | --- | --- | | pi | 1 | 1 | 0,1,2or3 | v∈Sii |
| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 1-a<br>0<br>0<br>a | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>1 |
0
| Method | mIoUclass | mIoUcategory | | --- | --- | --- | | PSP | 81.2 | 91.2 |
| GRFP+LRR-4x | 72.8 | 88.6 | | --- | --- | --- | | LRR-4x<br>Adelaidecontext<br>DeepLabv2-CRF | 71.8<br>71.6<br>70.4 | 88.4<br>87.3<br>86.4 | | GRFP+Dilation10 | 67.8 | 86.7 | | Dilation10<br>DPN<br>FCN8s | 67.1<br>66.8<br>65.3 | 86.5<br>86.0<br>85.7 |
1
| Method | mIoUclass | mIoUcategory | | --- | --- | --- | | PSP | 81.2 | 91.2 |
| Methods | A→W | D→W | W→D | | --- | --- | --- | --- | | GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 | | SA | 15.3 | 50.1 | 56.9 | | DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 | | DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 | | Dlid | 26.1 | 68.9 | 84.9 | | Decaf | 52.20±1.70 | 91.50±1.50 | − | | DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 | | FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 | | FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 | | MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 | | CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 | | FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 | | MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 | | CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 | | MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 | | CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 | | MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 | | MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 | | MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 | | CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 | | MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 | | MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |
0
| Method | mIoUclass | mIoUcategory | | --- | --- | --- | | PSP | 81.2 | 91.2 |
| GRFP+LRR-4x | 72.8 | 88.6 | | --- | --- | --- | | LRR-4x<br>Adelaidecontext<br>DeepLabv2-CRF | 71.8<br>71.6<br>70.4 | 88.4<br>87.3<br>86.4 | | GRFP+Dilation10 | 67.8 | 86.7 | | Dilation10<br>DPN<br>FCN8s | 67.1<br>66.8<br>65.3 | 86.5<br>86.0<br>85.7 |
1
| Method | mIoUclass | mIoUcategory | | --- | --- | --- | | PSP | 81.2 | 91.2 |
| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 | | --- | --- | --- | --- | | MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 | | MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |
0
| Model | k=200 | k=300 | k=400 | | --- | --- | --- | --- | | Bag-of-Words-10K | 0.457 | 0.445 | 0.483 | | Single-10k | 0.623 | 0.647 | 0.641 | | Joint-10k | 0.650 | 0.636 | 0.635 | | Bag-of-Words-50K | 0.44 | 0.453 | 0.407 | | Single-50k | 0.492 | 0.486 | 0.534 |
| Joint-50k | 0.571 | 0.591 | 0.613 | | --- | --- | --- | --- | | Bag-of-Words-100K | 0.335 | 0.324 | 0.322 | | Single-100k | 0.431 | 0.413 | 0.456 | | Joint-100k | 0.495 | 0.518 | 0.507 |
1
| Model | k=200 | k=300 | k=400 | | --- | --- | --- | --- | | Bag-of-Words-10K | 0.457 | 0.445 | 0.483 | | Single-10k | 0.623 | 0.647 | 0.641 | | Joint-10k | 0.650 | 0.636 | 0.635 | | Bag-of-Words-50K | 0.44 | 0.453 | 0.407 | | Single-50k | 0.492 | 0.486 | 0.534 |
| Model | k=200 | k=300 | k=400 | | --- | --- | --- | --- | | Bag-of-Words-10K | 0.127 | 0.113 | 0.111 | | Single-10k | 0.168 | 0.172 | 0.165 | | Joint-10k | 0.190 | 0.177 | 0.181 | | Bag-of-Words-50K | 0.196 | 0.191 | 0.21 | | Single-50k | 0.218 | 0.228 | 0.222 | | Joint-50k | 0.256 | 0.250 | 0.227 | | Bag-of-Words-100K | 0.222 | 0.18 | 0.16 | | Single-100k | 0.225 | 0.218 | 0.199 | | Joint-100k | 0.283 | 0.256 | 0.222 |
0
| Model | k=200 | k=300 | k=400 | | --- | --- | --- | --- | | Bag-of-Words-10K | 0.457 | 0.445 | 0.483 | | Single-10k | 0.623 | 0.647 | 0.641 | | Joint-10k | 0.650 | 0.636 | 0.635 | | Bag-of-Words-50K | 0.44 | 0.453 | 0.407 | | Single-50k | 0.492 | 0.486 | 0.534 |
| Joint-50k | 0.571 | 0.591 | 0.613 | | --- | --- | --- | --- | | Bag-of-Words-100K | 0.335 | 0.324 | 0.322 | | Single-100k | 0.431 | 0.413 | 0.456 | | Joint-100k | 0.495 | 0.518 | 0.507 |
1
| Model | k=200 | k=300 | k=400 | | --- | --- | --- | --- | | Bag-of-Words-10K | 0.457 | 0.445 | 0.483 | | Single-10k | 0.623 | 0.647 | 0.641 | | Joint-10k | 0.650 | 0.636 | 0.635 | | Bag-of-Words-50K | 0.44 | 0.453 | 0.407 | | Single-50k | 0.492 | 0.486 | 0.534 |
| Single-100k | 0.225 | 0.218 | 0.199 | | --- | --- | --- | --- | | Joint-100k | 0.283 | 0.256 | 0.222 |
0
| 0∼10px | | --- | | PRH |
| 0.120.100.11 | | --- | | 0.170.190.18 | | 0.630.570.60 |
1
| 0∼10px | | --- | | PRH |
| Noisecoefficient | horizontal | vertical | | --- | --- | --- | | 0.01 | 1.2992 | 1.2739 | | 0.03 | 1.5758 | 1.2661 | | 0.05 | 2.0938 | 1.2753 | | 0.07 | 2.3385 | 1.3668 |
0
| 0∼10px | | --- | | PRH |
| 0.120.100.11 | | --- | | 0.170.190.18 | | 0.630.570.60 |
1
| 0∼10px | | --- | | PRH |
| 0.03 | 1.5758 | 1.2661 | | --- | --- | --- | | 0.05 | 2.0938 | 1.2753 | | 0.07 | 2.3385 | 1.3668 |
0
| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST | | --- | --- | --- | --- | --- | --- | --- | --- | | drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 | | OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |
| TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 | | | | --- | --- | --- | --- | --- | --- | --- | --- | | SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |
1
| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST | | --- | --- | --- | --- | --- | --- | --- | --- | | drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 | | OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |
| Actions | SVM<br>-SW | RNN<br>-SW | CA<br>-RNN | JCR<br>-RNN | | --- | --- | --- | --- | --- | | drinking | 0.146 | 0.441 | 0.584 | 0.574 | | eating | 0.465 | 0.550 | 0.558 | 0.523 | | writing | 0.645 | 0.859 | 0.749 | 0.822 | | openingcupboard | 0.308 | 0.321 | 0.490 | 0.495 | | washinghands | 0.562 | 0.668 | 0.672 | 0.718 | | openingmicrowave | 0.607 | 0.665 | 0.468 | 0.703 | | sweeping | 0.461 | 0.590 | 0.597 | 0.643 | | gargling | 0.437 | 0.550 | 0.579 | 0.623 | | throwingtrash | 0.554 | 0.674 | 0.430 | 0.459 | | wiping | 0.857 | 0.747 | 0.761 | 0.780 | | average | 0.540 | 0.600 | 0.596 | 0.653 |
0
| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST | | --- | --- | --- | --- | --- | --- | --- | --- | | drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 | | OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |
| TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 | | | | --- | --- | --- | --- | --- | --- | --- | --- | | SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |
1
| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST | | --- | --- | --- | --- | --- | --- | --- | --- | | drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 | | OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |
| gargling | 0.437 | 0.550 | 0.579 | 0.623 | | --- | --- | --- | --- | --- | | throwingtrash | 0.554 | 0.674 | 0.430 | 0.459 | | wiping | 0.857 | 0.747 | 0.761 | 0.780 | | average | 0.540 | 0.600 | 0.596 | 0.653 |
0
| | | | | | | | --- | --- | --- | --- | --- | --- | | 64 | 1018 | 64 | 1018 | 64 | 1018 | | | | | | | | | | | | | | |
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| | | | | | | | --- | --- | --- | --- | --- | --- | | 64 | 1018 | 64 | 1018 | 64 | 1018 | | | | | | | | | | | | | | |
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0
| | | | | | | | --- | --- | --- | --- | --- | --- | | 64 | 1018 | 64 | 1018 | 64 | 1018 | | | | | | | | | | | | | | | | | | | | | |
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| | | | | | | | --- | --- | --- | --- | --- | --- | | 64 | 1018 | 64 | 1018 | 64 | 1018 | | | | | | | | | | | | | | | | | | | | | |
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0
| Comparisontdfpadj.p | | --- | | AntibioticKC5.779672.14∗108.58∗10 | | AntibioticNI2.604670.01130.0453 |
| MushroomKC-2.806710.006470.0259 | | --- | | MushroomNI3.384710.001170.00466 |
1
| Comparisontdfpadj.p | | --- | | AntibioticKC5.779672.14∗108.58∗10 | | AntibioticNI2.604670.01130.0453 |
| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | -1.3 | | 10 | Tryptophan | TRP | -0.9 | | 11 | Serine | SER | -0.8 | | 12 | Threonine | THR | -0.7 | | 13 | Cysteine | CYS | 2.5 | | 14 | Asparagine | ASN | -3.5 | | 15 | Glutamine | GLN | -3.5 | | 16 | Lysine | LYS | -3.9 | | 17 | Histidine | HIS | -3.2 | | 18 | Arginine | ARG | -4.5 | | 19 | Aspartate | ASP | -3.5 | | 20 | Glutamate | GLU | -3.5 |
0
| Comparisontdfpadj.p | | --- | | AntibioticKC5.779672.14∗108.58∗10 |
| AntibioticNI2.604670.01130.0453 | | --- | | MushroomKC-2.806710.006470.0259 | | MushroomNI3.384710.001170.00466 |
1
| Comparisontdfpadj.p | | --- | | AntibioticKC5.779672.14∗108.58∗10 |
| 7 | Methionine | MET | 1.9 | | --- | --- | --- | --- | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | -1.3 | | 10 | Tryptophan | TRP | -0.9 | | 11 | Serine | SER | -0.8 | | 12 | Threonine | THR | -0.7 | | 13 | Cysteine | CYS | 2.5 | | 14 | Asparagine | ASN | -3.5 | | 15 | Glutamine | GLN | -3.5 | | 16 | Lysine | LYS | -3.9 | | 17 | Histidine | HIS | -3.2 | | 18 | Arginine | ARG | -4.5 | | 19 | Aspartate | ASP | -3.5 | | 20 | Glutamate | GLU | -3.5 |
0
| CD | UoA | mn2017 | med2017 | mn2014 | med2014 | | --- | --- | --- | --- | --- | --- | | Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 | | Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 | | N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 | | N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 | | Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 |
| Y | Economics | 0.750 | 0.737 | 0.760 | 0.770 | | --- | --- | --- | --- | --- | --- | | Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 | | Y | ClinicalMedicine | 0.654 | 0.677 | 0.666 | 0.662 | | Y | PublicHealthandPrimaryCare | 0.535 | 0.674 | 0.607 | 0.653 | | Y | Physics | 0.600 | 0.666 | 0.627 | 0.605 |
1
| CD | UoA | mn2017 | med2017 | mn2014 | med2014 | | --- | --- | --- | --- | --- | --- | | Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 | | Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 | | N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 | | N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 | | Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 |
| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence | | --- | --- | --- | --- | --- | | movie | 0.623 | 0.672 | 0.681 | 0.684 | | sraa | 0.559 | 0.628 | 0.618 | 0.547 | | webkb | 0.615 | 0.685 | 0.640 | 0.646 | | med-space<br>ibm-mac<br>baseball-hockey<br>20newsgroups | 0.927<br>0.817<br>0.915<br>0.667 | 0.921<br>0.796<br>0.935<br>0.669 | 0.936<br>0.837<br>0.925<br>0.680 | 0.928<br>0.833<br>0.923<br>0.677 | | financial-healthcare<br>sector.top | 0.588<br>0.596 | 0.618<br>0.653 | 0.618<br>0.581 | 0.507<br>0.639 |
0
| CD | UoA | mn2017 | med2017 | mn2014 | med2014 | | --- | --- | --- | --- | --- | --- | | Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 | | Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 | | N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 | | N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 | | Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 | | Y | Economics | 0.750 | 0.737 | 0.760 | 0.770 | | Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |
| Y | ClinicalMedicine | 0.654 | 0.677 | 0.666 | 0.662 | | --- | --- | --- | --- | --- | --- | | Y | PublicHealthandPrimaryCare | 0.535 | 0.674 | 0.607 | 0.653 | | Y | Physics | 0.600 | 0.666 | 0.627 | 0.605 |
1
| CD | UoA | mn2017 | med2017 | mn2014 | med2014 | | --- | --- | --- | --- | --- | --- | | Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 | | Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 | | N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 | | N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 | | Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 | | Y | Economics | 0.750 | 0.737 | 0.760 | 0.770 | | Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |
| sraa | 0.559 | 0.628 | 0.618 | 0.547 | | --- | --- | --- | --- | --- | | webkb | 0.615 | 0.685 | 0.640 | 0.646 | | med-space<br>ibm-mac<br>baseball-hockey<br>20newsgroups | 0.927<br>0.817<br>0.915<br>0.667 | 0.921<br>0.796<br>0.935<br>0.669 | 0.936<br>0.837<br>0.925<br>0.680 | 0.928<br>0.833<br>0.923<br>0.677 | | financial-healthcare<br>sector.top | 0.588<br>0.596 | 0.618<br>0.653 | 0.618<br>0.581 | 0.507<br>0.639 |
0
| Dataset | DDER | CoR | RLMS | Ours | | --- | --- | --- | --- | --- | | dt01 | 9.65 | 4.15 | 6.04 | 4.51 | | ar00 | 3.41 | 66.72 | 7.41 | 2.36 | | dt00 | 3.57 | 1.65 | 4.63 | 2.29 | | my01 | 5.61 | 2.79 | 4.35 | 2.89 | | fw01 | 6.5 | 3.27 | 36.11 | 4.85 | | fw02 | 5.34 | 1.80 | 2.56 | 3.50 | | luc01 | 4.96 | 2.38 | 5.86 | 3.49 |
| luc02 | 3.95 | 1.51 | 2.04 | 3.02 | | --- | --- | --- | --- | --- | | luc03(2m) | 37.17 | n/a | 1.67 | 1.77 | | luc04(2m) | 2.63 | 62.45 | n/a | 1.84 | | luc05 | 3.39 | 2.39 | 3.44 | 2.88 |
1
| Dataset | DDER | CoR | RLMS | Ours | | --- | --- | --- | --- | --- | | dt01 | 9.65 | 4.15 | 6.04 | 4.51 | | ar00 | 3.41 | 66.72 | 7.41 | 2.36 | | dt00 | 3.57 | 1.65 | 4.63 | 2.29 | | my01 | 5.61 | 2.79 | 4.35 | 2.89 | | fw01 | 6.5 | 3.27 | 36.11 | 4.85 | | fw02 | 5.34 | 1.80 | 2.56 | 3.50 | | luc01 | 4.96 | 2.38 | 5.86 | 3.49 |
| Dataset | PTA | MP | DV | Ours | | --- | --- | --- | --- | --- | | Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 | | Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 | | Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 | | Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |
0
| Dataset | DDER | CoR | RLMS | Ours | | --- | --- | --- | --- | --- | | dt01 | 9.65 | 4.15 | 6.04 | 4.51 |
| ar00 | 3.41 | 66.72 | 7.41 | 2.36 | | --- | --- | --- | --- | --- | | dt00 | 3.57 | 1.65 | 4.63 | 2.29 | | my01 | 5.61 | 2.79 | 4.35 | 2.89 | | fw01 | 6.5 | 3.27 | 36.11 | 4.85 | | fw02 | 5.34 | 1.80 | 2.56 | 3.50 | | luc01 | 4.96 | 2.38 | 5.86 | 3.49 | | luc02 | 3.95 | 1.51 | 2.04 | 3.02 | | luc03(2m) | 37.17 | n/a | 1.67 | 1.77 | | luc04(2m) | 2.63 | 62.45 | n/a | 1.84 | | luc05 | 3.39 | 2.39 | 3.44 | 2.88 |
1
| Dataset | DDER | CoR | RLMS | Ours | | --- | --- | --- | --- | --- | | dt01 | 9.65 | 4.15 | 6.04 | 4.51 |
| Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 | | --- | --- | --- | --- | --- | | Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |
0
| TheTitanicdataset | | | | --- | --- | --- | | Attributes | yesno | comment | | firstClass<br>secondClass<br>thirdClass<br>crew<br>female<br>survived | 3251876<br>2851916<br>7061495<br>8851316<br>4701736<br>7111490 | outcome |
| TheAdultdataset | | | | --- | --- | --- | | Attributes | yesno | comment | | age<30<br>age>60<br>private<br>self-emp<br>gov<br>education-num>12<br>education-num<9<br>Prof<br>white<br>male<br>hours>50<br>hours<30<br>US<br>>50K | 1451534327<br>360645236<br>3390614936<br>555743285<br>654942293<br>1211036732<br>640842434<br>2387424968<br>417627080<br>3265016192<br>543543407<br>615142691<br>438325010<br>1168737155 | young<br>old<br>privatecompanyemployer<br>selfemployment<br>governmentemployer<br>educationyears<br>educationyears<br>professionaloccupation<br>race<br>weeklyworkinghours<br>weeklyworkinghours<br>nationality<br>annualincome,outcome |
1
| TheTitanicdataset | | | | --- | --- | --- | | Attributes | yesno | comment | | firstClass<br>secondClass<br>thirdClass<br>crew<br>female<br>survived | 3251876<br>2851916<br>7061495<br>8851316<br>4701736<br>7111490 | outcome |
| Year | Dataset | Pairs | Source | | --- | --- | --- | --- | | 2012<br>2012<br>2012<br>2012<br>2012 | MSRpar<br>MSRvid<br>OnWN<br>SMTnews<br>SMTeuroparl | 1500<br>1500<br>750<br>750<br>750 | newswire<br>videos<br>glosses<br>WMTeval.<br>WMTeval. | | 2013<br>2013<br>2013<br>2013 | HDL<br>FNWN<br>OnWN<br>SMT | 750<br>189<br>561<br>750 | newswire<br>glosses<br>glosses<br>MTeval. | | 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs | | 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief | | 2016<br>2016<br>2016<br>2016<br>2016 | HDL<br>Plagiarism<br>post-editing<br>Ans.-Ans.<br>Quest.-Quest. | 249<br>230<br>244<br>254<br>209 | newswireheadlines<br>short-answerplag.<br>MTpostedits<br>Q&Aforumanswers<br>Q&Aforumquestions | | 2017 | Trial | 23 | MixedSTS2016 |
0
| TheTitanicdataset | | | | --- | --- | --- | | Attributes | yesno | comment | | firstClass<br>secondClass<br>thirdClass<br>crew<br>female<br>survived | 3251876<br>2851916<br>7061495<br>8851316<br>4701736<br>7111490 | outcome | | TheAdultdataset | | |
| Attributes | yesno | comment | | --- | --- | --- | | age<30<br>age>60<br>private<br>self-emp<br>gov<br>education-num>12<br>education-num<9<br>Prof<br>white<br>male<br>hours>50<br>hours<30<br>US<br>>50K | 1451534327<br>360645236<br>3390614936<br>555743285<br>654942293<br>1211036732<br>640842434<br>2387424968<br>417627080<br>3265016192<br>543543407<br>615142691<br>438325010<br>1168737155 | young<br>old<br>privatecompanyemployer<br>selfemployment<br>governmentemployer<br>educationyears<br>educationyears<br>professionaloccupation<br>race<br>weeklyworkinghours<br>weeklyworkinghours<br>nationality<br>annualincome,outcome |
1
| TheTitanicdataset | | | | --- | --- | --- | | Attributes | yesno | comment | | firstClass<br>secondClass<br>thirdClass<br>crew<br>female<br>survived | 3251876<br>2851916<br>7061495<br>8851316<br>4701736<br>7111490 | outcome | | TheAdultdataset | | |
| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs | | --- | --- | --- | --- | | 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief | | 2016<br>2016<br>2016<br>2016<br>2016 | HDL<br>Plagiarism<br>post-editing<br>Ans.-Ans.<br>Quest.-Quest. | 249<br>230<br>244<br>254<br>209 | newswireheadlines<br>short-answerplag.<br>MTpostedits<br>Q&Aforumanswers<br>Q&Aforumquestions | | 2017 | Trial | 23 | MixedSTS2016 |
0
| | Leastsquares | Uniform | Stability | Generality | | --- | --- | --- | --- | --- | | Lagrange | Good | OK | OK | Any |
| Legendre | Verygood | Good | OK | Rational | | --- | --- | --- | --- | --- | | Chebyshev | Verygood | VeryGood | OK | Rational | | Bernstein | OK | OK | VeryGood | Rational | | Weak | Verygood | OK | VeryBad | Integrable |
1
| | Leastsquares | Uniform | Stability | Generality | | --- | --- | --- | --- | --- | | Lagrange | Good | OK | OK | Any |
| | Omniscient:<br>fulldistances | Agents’ordinalprefs<br>andfacilitylocations | Onlyagents’ordinal<br>prefs(lowerbounds) | | --- | --- | --- | --- | | Total(Sum)SocialChoice | 1 | 3 | 5(3) | | MedianSocialChoice | 1 | 3 | 5(5) | | MinWeightBipartiteMatching | 1 | 3 | n(3) | | EgalitarianBipartiteMatching | 1 | 3 | -(2) | | FacilityLocation | 1.488 | 3.976 | ∞(∞) | | k-center | 2 | 5 | -(-) | | k-median | 2.675 | 6.35 | -(Ω(n)) |
0
| | Leastsquares | Uniform | Stability | Generality | | --- | --- | --- | --- | --- | | Lagrange | Good | OK | OK | Any | | Legendre | Verygood | Good | OK | Rational | | Chebyshev | Verygood | VeryGood | OK | Rational |
| Bernstein | OK | OK | VeryGood | Rational | | --- | --- | --- | --- | --- | | Weak | Verygood | OK | VeryBad | Integrable |
1
| | Leastsquares | Uniform | Stability | Generality | | --- | --- | --- | --- | --- | | Lagrange | Good | OK | OK | Any | | Legendre | Verygood | Good | OK | Rational | | Chebyshev | Verygood | VeryGood | OK | Rational |
| FacilityLocation | 1.488 | 3.976 | ∞(∞) | | --- | --- | --- | --- | | k-center | 2 | 5 | -(-) | | k-median | 2.675 | 6.35 | -(Ω(n)) |
0
| lerror∞ | .05 | .01 | 0.005 | 0.001 | | --- | --- | --- | --- | --- | | rand-20 | 3.37 | 1.56 | 1.12 | 0.25 | | rand-50 | 18.0 | 11.76 | 5.18 | 0.91 |
| rand-75 | 23.87 | 23.87 | 9.8 | 1.5 | | --- | --- | --- | --- | --- | | rand-100 | 19.24 | 19.24 | 10.6 | 1.75 | | lda-20 | 1.6 | .61 | .34 | .10 |
1
| lerror∞ | .05 | .01 | 0.005 | 0.001 | | --- | --- | --- | --- | --- | | rand-20 | 3.37 | 1.56 | 1.12 | 0.25 | | rand-50 | 18.0 | 11.76 | 5.18 | 0.91 |
| HigherBetter | | | | | --- | --- | --- | --- | | Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError | | 80.55 | 94.65 | 98.26 | 0.399 | | 79.88 | 94.45 | 98.15 | 0.411 | | 78.70 | 94.06 | 98.13 | 0.419 | | 78.72 | 94.13 | 98.08 | 0.423 | | 80.17 | 94.74 | 98.27 | 0.401 | | 79.26 | 94.19 | 98.07 | 0.422 |
0
| lerror∞ | .05 | .01 | 0.005 | 0.001 | | --- | --- | --- | --- | --- | | rand-20 | 3.37 | 1.56 | 1.12 | 0.25 | | rand-50 | 18.0 | 11.76 | 5.18 | 0.91 |
| rand-75 | 23.87 | 23.87 | 9.8 | 1.5 | | --- | --- | --- | --- | --- | | rand-100 | 19.24 | 19.24 | 10.6 | 1.75 | | lda-20 | 1.6 | .61 | .34 | .10 |
1
| lerror∞ | .05 | .01 | 0.005 | 0.001 | | --- | --- | --- | --- | --- | | rand-20 | 3.37 | 1.56 | 1.12 | 0.25 | | rand-50 | 18.0 | 11.76 | 5.18 | 0.91 |
| 80.55 | 94.65 | 98.26 | 0.399 | | --- | --- | --- | --- | | 79.88 | 94.45 | 98.15 | 0.411 | | 78.70 | 94.06 | 98.13 | 0.419 | | 78.72 | 94.13 | 98.08 | 0.423 | | 80.17 | 94.74 | 98.27 | 0.401 | | 79.26 | 94.19 | 98.07 | 0.422 |
0
| Method | Accuracy | | --- | --- | | DAG-CNN | 77.5 | | DeepSpatialPyramid | 78.3 | | B-CNN | 79.0 | | FV-CNN | 79.2 | | SPLeap | 73.5 | | StandardVGG16 | 69.6 |
| StandardVGG16FT | 76.4 | | --- | --- | | Multi-ScaleNetwork | 79.0 | | OurApproach | 81.9 | | OurApproach+StandardVGG16 | 83.1 |
1
| Method | Accuracy | | --- | --- | | DAG-CNN | 77.5 | | DeepSpatialPyramid | 78.3 | | B-CNN | 79.0 | | FV-CNN | 79.2 | | SPLeap | 73.5 | | StandardVGG16 | 69.6 |
| CNN | Imageresolution | RunTime(ms) | | --- | --- | --- | | AlexNet | 227×227 | 2.3 | | VGG16 | 224×224 | 10 | | Resnet50 | 224×224 | 17 | | SqueezeNet | 224×224 | 2.5 | | SqueezeNet | 448×448 | 4 | | SqueezeNet | 625×625 | 6 |
0
| Method | Accuracy | | --- | --- | | DAG-CNN | 77.5 | | DeepSpatialPyramid | 78.3 | | B-CNN | 79.0 | | FV-CNN | 79.2 | | SPLeap | 73.5 |
| StandardVGG16 | 69.6 | | --- | --- | | StandardVGG16FT | 76.4 | | Multi-ScaleNetwork | 79.0 | | OurApproach | 81.9 | | OurApproach+StandardVGG16 | 83.1 |
1
| Method | Accuracy | | --- | --- | | DAG-CNN | 77.5 | | DeepSpatialPyramid | 78.3 | | B-CNN | 79.0 | | FV-CNN | 79.2 | | SPLeap | 73.5 |
| SqueezeNet | 224×224 | 2.5 | | --- | --- | --- | | SqueezeNet | 448×448 | 4 | | SqueezeNet | 625×625 | 6 |
0
| Evaldataset | Duration(minute) | Description | | --- | --- | --- | | Eval-Set-1 | 70 | Diarization | | Eval-Set-2 | 21 | Participation | | Eval-Set-3 | 70 | Dominancerating |
| Eval-Set-4 | 30 | Emphasis | | --- | --- | --- | | Eval-Set-5 | 30 | Curiosity(question-inflection) | | Eval-Set-6 | 70 | Engagement(speechrate) | | Eval-Set-7 | 87 | SpeechActivityDetection |
1
| Evaldataset | Duration(minute) | Description | | --- | --- | --- | | Eval-Set-1 | 70 | Diarization | | Eval-Set-2 | 21 | Participation | | Eval-Set-3 | 70 | Dominancerating |
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) | | F3 | speechinthepresenceofbackgroundmusic | | F4 | speechunderdegradedacousticalconditions | | F5 | non-nativespeakers(clean,planned) | | FX | allotherspeech(e.g.spontanousnon-native) |
0
| Evaldataset | Duration(minute) | Description | | --- | --- | --- | | Eval-Set-1 | 70 | Diarization | | Eval-Set-2 | 21 | Participation | | Eval-Set-3 | 70 | Dominancerating | | Eval-Set-4 | 30 | Emphasis |
| Eval-Set-5 | 30 | Curiosity(question-inflection) | | --- | --- | --- | | Eval-Set-6 | 70 | Engagement(speechrate) | | Eval-Set-7 | 87 | SpeechActivityDetection |
1
| Evaldataset | Duration(minute) | Description | | --- | --- | --- | | Eval-Set-1 | 70 | Diarization | | Eval-Set-2 | 21 | Participation | | Eval-Set-3 | 70 | Dominancerating | | Eval-Set-4 | 30 | Emphasis |
| F1 | spontaneousbroadcastspeech(clean) | | --- | --- | | F2 | lowfidelityspeech(typicallynarrowband) | | F3 | speechinthepresenceofbackgroundmusic | | F4 | speechunderdegradedacousticalconditions | | F5 | non-nativespeakers(clean,planned) | | FX | allotherspeech(e.g.spontanousnon-native) |
0
| 1.57φ=1.621.671.72 | | --- | | 2442 |
| 2426 | | --- | | 6457 | | 4444 | | 6437 |
1
| 1.57φ=1.621.671.72 | | --- | | 2442 |
| 72.46 | 72.29 | | --- | --- | | 71.7 | 71.28 | | 60.76 | 54.27 | | 57.29 | 49.37 | | 57.98 | 47.01 | | 64.13 | 57.63 |
0
| 1.57φ=1.621.671.72 | | --- | | 2442 |
| 2426 | | --- | | 6457 | | 4444 | | 6437 |
1
| 1.57φ=1.621.671.72 | | --- | | 2442 |
| 57.29 | 49.37 | | --- | --- | | 57.98 | 47.01 | | 64.13 | 57.63 |
0
| Block | Timeperformance[s] | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Jobs×data-points | Pending | Stage-in | Execution | Stage-out | Overhead | Total | | 4×512<br>8×256<br>16×128<br>32×64 | 3980<br>9484<br>5989<br>11548 | 11<br>42<br>86<br>158 | 8648<br>8939<br>8728<br>8751 | 5<br>3<br>10<br>23 | 30<br>39<br>82<br>208 | 12674<br>18507<br>14895<br>20688 |
| | Pend./job | St.-in/job | Exec./job | St.-out/job | Overh./job | Human | | --- | --- | --- | --- | --- | --- | --- | | 4×512<br>8×256<br>16×128<br>32×64 | 995.00<br>1185.5<br>374.31<br>360.88 | 2.75<br>5.25<br>5.38<br>4.94 | 2162.00<br>1117.38<br>545.50<br>273.47 | 1.25<br>0.38<br>0.63<br>0.72 | 7.50<br>4.88<br>5.13<br>6.50 | 3348<br>3131<br>1616<br>1328 |
1
| Block | Timeperformance[s] | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Jobs×data-points | Pending | Stage-in | Execution | Stage-out | Overhead | Total | | 4×512<br>8×256<br>16×128<br>32×64 | 3980<br>9484<br>5989<br>11548 | 11<br>42<br>86<br>158 | 8648<br>8939<br>8728<br>8751 | 5<br>3<br>10<br>23 | 30<br>39<br>82<br>208 | 12674<br>18507<br>14895<br>20688 |
| Stage | #Sample | #Blocks | llb | lub | Runtime | | --- | --- | --- | --- | --- | --- | | 1 | 1 | 3 | 19324936602 | 8659772341291 | 1hr1m | | 2 | 10 | 6 | 4509832663 | 62270235928 | 3m29sec | | 3 | 5 | 3 | 2799147462 | 81977150923 | 33m51sec | | 4 | 5 | 2 | 397155 | 1249483 | 53m40sec | | 5 | 5 | 2 | 140973 | 236873 | 1hr6m |
0
| Block | Timeperformance[s] | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Jobs×data-points | Pending | Stage-in | Execution | Stage-out | Overhead | Total | | 4×512<br>8×256<br>16×128<br>32×64 | 3980<br>9484<br>5989<br>11548 | 11<br>42<br>86<br>158 | 8648<br>8939<br>8728<br>8751 | 5<br>3<br>10<br>23 | 30<br>39<br>82<br>208 | 12674<br>18507<br>14895<br>20688 |
| | Pend./job | St.-in/job | Exec./job | St.-out/job | Overh./job | Human | | --- | --- | --- | --- | --- | --- | --- | | 4×512<br>8×256<br>16×128<br>32×64 | 995.00<br>1185.5<br>374.31<br>360.88 | 2.75<br>5.25<br>5.38<br>4.94 | 2162.00<br>1117.38<br>545.50<br>273.47 | 1.25<br>0.38<br>0.63<br>0.72 | 7.50<br>4.88<br>5.13<br>6.50 | 3348<br>3131<br>1616<br>1328 |
1
| Block | Timeperformance[s] | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Jobs×data-points | Pending | Stage-in | Execution | Stage-out | Overhead | Total | | 4×512<br>8×256<br>16×128<br>32×64 | 3980<br>9484<br>5989<br>11548 | 11<br>42<br>86<br>158 | 8648<br>8939<br>8728<br>8751 | 5<br>3<br>10<br>23 | 30<br>39<br>82<br>208 | 12674<br>18507<br>14895<br>20688 |
| 3 | 5 | 3 | 2799147462 | 81977150923 | 33m51sec | | --- | --- | --- | --- | --- | --- | | 4 | 5 | 2 | 397155 | 1249483 | 53m40sec | | 5 | 5 | 2 | 140973 | 236873 | 1hr6m |
0
| pros | cons | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | Ps | Rs | Pe | Re | Ps | Rs | Pe | Re | | 22.1 | 59.6 | 70.8 | 30.1 | 19.5 | 44.2 | 59.7 | 17.5 | | 45.5 | 66.3 | 78.7 | 6.6 | 30.2 | 48.6 | 64.3 | 2.9 | | 33.2 | 54.4 | 65.9 | 26.7 | 27.0 | 37.7 | 51.1 | 15.0 |
| 52.7 | 69.4 | 78.5 | 8.6 | 30.9 | 43.8 | 61.3 | 3.5 | | --- | --- | --- | --- | --- | --- | --- | --- | | 26.0 | 50.8 | 59.6 | 38.9 | 26.2 | 40.8 | 56.3 | 25.0 |
1
| pros | cons | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | Ps | Rs | Pe | Re | Ps | Rs | Pe | Re | | 22.1 | 59.6 | 70.8 | 30.1 | 19.5 | 44.2 | 59.7 | 17.5 | | 45.5 | 66.3 | 78.7 | 6.6 | 30.2 | 48.6 | 64.3 | 2.9 | | 33.2 | 54.4 | 65.9 | 26.7 | 27.0 | 37.7 | 51.1 | 15.0 |
| Numberofproposals | 8 | 16 | 32 | 64 | 128 | 256 | | --- | --- | --- | --- | --- | --- | --- | | SS | 59.00 | 64.60 | 70.20 | 74.20 | 77.50 | 78.40 | | GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 | | MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 | | SharpMask | 73.79 | 74.07 | 73.34 | 73.15 | 73.70 | 74.01 | | FastMask | 75.87 | 75.03 | 74.42 | 74.04 | − | − |
0
| pros | cons | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | Ps | Rs | Pe | Re | Ps | Rs | Pe | Re |
| 22.1 | 59.6 | 70.8 | 30.1 | 19.5 | 44.2 | 59.7 | 17.5 | | --- | --- | --- | --- | --- | --- | --- | --- | | 45.5 | 66.3 | 78.7 | 6.6 | 30.2 | 48.6 | 64.3 | 2.9 | | 33.2 | 54.4 | 65.9 | 26.7 | 27.0 | 37.7 | 51.1 | 15.0 | | 52.7 | 69.4 | 78.5 | 8.6 | 30.9 | 43.8 | 61.3 | 3.5 | | 26.0 | 50.8 | 59.6 | 38.9 | 26.2 | 40.8 | 56.3 | 25.0 |
1
| pros | cons | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | Ps | Rs | Pe | Re | Ps | Rs | Pe | Re |
| GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 | | --- | --- | --- | --- | --- | --- | --- | | MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 | | SharpMask | 73.79 | 74.07 | 73.34 | 73.15 | 73.70 | 74.01 | | FastMask | 75.87 | 75.03 | 74.42 | 74.04 | − | − |
0
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 | | CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 | | CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 |
| CPD+SVM(OptimalChannels) | 32.88 | 30.14 | 30.14 | 30.14 | 32.88 | 31.51 | 28.77 | 31.51 | 30.14 | 27.40 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | CSP+SVM(OptimalChannels) | - | - | - | - | - | - | - | - | - | - |
1
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 | | CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 | | CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 |
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 | | CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 | | CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(8∼21Hz) | 80.71 | 81.43 | 80.00 | 82.14 | 81.43 | 81.43 | 81.43 | 79.29 | 80.00 | 79.29 | | CPD+SVM(8∼21Hz) | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | | CSP+SVM(8∼21Hz) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(1∼7Hz) | 66.43 | 65.00 | 62.14 | 65.00 | 64.29 | 66.43 | 66.43 | 66.43 | 65.71 | 65.71 | | CPD+SVM(1∼7Hz) | 50.00 | 50.71 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.71 | 50.00 | 50.00 | | CSP+SVM(1∼7Hz) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(22∼30Hz) | 70.71 | 71.43 | 71.43 | 68.57 | 71.43 | 68.57 | 70.00 | 68.57 | 69.29 | 70.71 | | CPD+SVM(22∼30Hz) | 56.43 | 50.00 | 50.00 | 56.43 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | | CSP+SVM(22∼30Hz) | - | - | - | - | - | - | - | - | - | - |
0
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 | | CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 |
| CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 | | CPD+SVM(OptimalChannels) | 32.88 | 30.14 | 30.14 | 30.14 | 32.88 | 31.51 | 28.77 | 31.51 | 30.14 | 27.40 | | CSP+SVM(OptimalChannels) | - | - | - | - | - | - | - | - | - | - |
1
| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 | | CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 |
| CPD+SVM(1∼7Hz) | 50.00 | 50.71 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.71 | 50.00 | 50.00 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | CSP+SVM(1∼7Hz) | - | - | - | - | - | - | - | - | - | - | | ProposedMethod(22∼30Hz) | 70.71 | 71.43 | 71.43 | 68.57 | 71.43 | 68.57 | 70.00 | 68.57 | 69.29 | 70.71 | | CPD+SVM(22∼30Hz) | 56.43 | 50.00 | 50.00 | 56.43 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | | CSP+SVM(22∼30Hz) | - | - | - | - | - | - | - | - | - | - |
0
| OS:Linux | | | | --- | --- | --- | | Test | Executiontime | Speedup | | 1thread | ±429.539s | | | 2threads | ±224.99s | 1.9 | | 8threads | ±93.8716s | 4.6 | | 16threads | ±98.3057s | 4.3 | | 32threads | ±95.8294s | 4.5 | | CUDA | ±98.71s | 4.4 | | OS:Windows8.1prox64 | | | | Test | Executiontime | Speedup | | 1thread | ±665.74s | | | 2threads | ±355.144s | 1.9 | | 8threads | ±158.912s | 4.2 |
| 16threads | ±121.667s | 5.5 | | --- | --- | --- | | 32threads | ±122.121s | 5.5 | | CUDA | ±107.214s | 6.2 |
1
| OS:Linux | | | | --- | --- | --- | | Test | Executiontime | Speedup | | 1thread | ±429.539s | | | 2threads | ±224.99s | 1.9 | | 8threads | ±93.8716s | 4.6 | | 16threads | ±98.3057s | 4.3 | | 32threads | ±95.8294s | 4.5 | | CUDA | ±98.71s | 4.4 | | OS:Windows8.1prox64 | | | | Test | Executiontime | Speedup | | 1thread | ±665.74s | | | 2threads | ±355.144s | 1.9 | | 8threads | ±158.912s | 4.2 |
| OS:Linux | | | | --- | --- | --- | | Test | Executiontime | Speedup | | 1thread | ±528.538s | | | 2threads | ±309.707s | 1.7 | | 8threads | ±111.968s | 4.7 | | 16threads | ±98.1266s | 5.3 | | 32threads | ±99.8027s | 5.2 | | CUDA | ±168.109s | 3.1 | | OS:Windows8.1prox64 | | | | Test | Executiontime | Speedup | | 1thread | ±1252.35s | | | 2threads | ±540.973s | 2.3 | | 8threads | ±181.501s | 6.9 | | 16threads | ±131.881s | 9.5 | | 32threads | ±131.661s | 9.5 | | CUDA | ±84.7718s | 14.8 |
0
| OS:Linux | | | | --- | --- | --- | | Test | Executiontime | Speedup | | 1thread | ±429.539s | | | 2threads | ±224.99s | 1.9 | | 8threads | ±93.8716s | 4.6 | | 16threads | ±98.3057s | 4.3 | | 32threads | ±95.8294s | 4.5 | | CUDA | ±98.71s | 4.4 | | OS:Windows8.1prox64 | | |
| Test | Executiontime | Speedup | | --- | --- | --- | | 1thread | ±665.74s | | | 2threads | ±355.144s | 1.9 | | 8threads | ±158.912s | 4.2 | | 16threads | ±121.667s | 5.5 | | 32threads | ±122.121s | 5.5 | | CUDA | ±107.214s | 6.2 |
1
| OS:Linux | | | | --- | --- | --- | | Test | Executiontime | Speedup | | 1thread | ±429.539s | | | 2threads | ±224.99s | 1.9 | | 8threads | ±93.8716s | 4.6 | | 16threads | ±98.3057s | 4.3 | | 32threads | ±95.8294s | 4.5 | | CUDA | ±98.71s | 4.4 | | OS:Windows8.1prox64 | | |
| 32threads | ±131.661s | 9.5 | | --- | --- | --- | | CUDA | ±84.7718s | 14.8 |
0
| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units | | --- | | Type2:Sentencecomplexity<br>#ofclauses/#ofsentences | | Type3:Subordination<br>#ofclauses/#ofT-units<br>#ofdependentclauses/#ofclauses<br>#ofdependentclauses/#ofT-units |
| Type4:Coordination<br>#ofcoordinatephrases/#ofclauses<br>#ofcoordinatephrases/#ofT-units | | --- | | Type5:Particularstructures<br>#ofverbphrases/#ofT-units |
1
| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units | | --- | | Type2:Sentencecomplexity<br>#ofclauses/#ofsentences | | Type3:Subordination<br>#ofclauses/#ofT-units<br>#ofdependentclauses/#ofclauses<br>#ofdependentclauses/#ofT-units |
| # | Features | Description | | --- | --- | --- | | 1 | TF | Termfrequencyofwintheshorttext | | 2 | IDF | Inversedocumentfrequencyofwinthewholecollection | | 3 | SF | Numberofsentencesintheshorttextthatcontainw | | 4 | First | Whetherwexistsinthefirstsentence | | 5 | Last | Whetherwexistsinthelastsentence | | 6 | NE | Whetherwisanamedentity(NE) | | 7 | NEFirst | WhetherwisNEinthefirstsentence | | 8 | NELast | WhetherwisNEinthelastsentence | | 9 | POS | Partofspeechofw |
0
| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units | | --- | | Type2:Sentencecomplexity<br>#ofclauses/#ofsentences |
| Type3:Subordination<br>#ofclauses/#ofT-units<br>#ofdependentclauses/#ofclauses<br>#ofdependentclauses/#ofT-units | | --- | | Type4:Coordination<br>#ofcoordinatephrases/#ofclauses<br>#ofcoordinatephrases/#ofT-units | | Type5:Particularstructures<br>#ofverbphrases/#ofT-units |
1
| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units | | --- | | Type2:Sentencecomplexity<br>#ofclauses/#ofsentences |
| 6 | NE | Whetherwisanamedentity(NE) | | --- | --- | --- | | 7 | NEFirst | WhetherwisNEinthefirstsentence | | 8 | NELast | WhetherwisNEinthelastsentence | | 9 | POS | Partofspeechofw |
0
| | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 | | --- | --- | --- | --- | --- | --- | --- | | m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 | | m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 | | m=3 | 0.002 | 0.003 | 0.003 | 0.995 | 0.995 | 0.995 |
| m=4 | 0.016 | 0.003 | 0.003 | 0.997 | 1.001 | 1.001 | | --- | --- | --- | --- | --- | --- | --- | | m=5 | 0.775 | 0.002 | 0.003 | 0.994 | 0.999 | 0.998 | | m=6 | 0.979 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 | | m=7 | 0.996 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 | | m=8 | 0.998 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 | | m=9 | 1.001 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 | | m=10 | 0.999 | 0.002 | 0.003 | 0.995 | 1.001 | 1.001 |
1
| | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 | | --- | --- | --- | --- | --- | --- | --- | | m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 | | m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 | | m=3 | 0.002 | 0.003 | 0.003 | 0.995 | 0.995 | 0.995 |
| m | k | N | mmˆ | | --- | --- | --- | --- | | [-0.43290.32340.8415] | 12 | 100 | 0.9994 | | [-0.43290.32340.8415] | 12 | 1000 | 1.000 | | [-0.43290.32340.8415] | 12 | 2000 | 1.000 | | [-0.43290.32340.8415] | 4 | 1000 | 0.9998 | | [-0.416100.9093] | 8 | 100 | 0.9995 | | [-0.416100.9093] | 8 | 1000 | 0.9999 | | [-0.416100.9093] | 15 | 100 | 0.9997 | | [-0.416100.9093] | 15 | 1000 | 1.0000 | | [-0.41610.90930] | 8 | 100 | 0.9994 | | [-0.41610.90930] | 8 | 1000 | 0.9999 | | [-0.41610.90930] | 15 | 100 | 0.9999 | | [-0.41610.90930] | 15 | 1000 | 1.000 |
0
| | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 | | --- | --- | --- | --- | --- | --- | --- | | m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 | | m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 |
| m=3 | 0.002 | 0.003 | 0.003 | 0.995 | 0.995 | 0.995 | | --- | --- | --- | --- | --- | --- | --- | | m=4 | 0.016 | 0.003 | 0.003 | 0.997 | 1.001 | 1.001 | | m=5 | 0.775 | 0.002 | 0.003 | 0.994 | 0.999 | 0.998 | | m=6 | 0.979 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 | | m=7 | 0.996 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 | | m=8 | 0.998 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 | | m=9 | 1.001 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 | | m=10 | 0.999 | 0.002 | 0.003 | 0.995 | 1.001 | 1.001 |
1
| | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 | | --- | --- | --- | --- | --- | --- | --- | | m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 | | m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 |
| [-0.416100.9093] | 8 | 1000 | 0.9999 | | --- | --- | --- | --- | | [-0.416100.9093] | 15 | 100 | 0.9997 | | [-0.416100.9093] | 15 | 1000 | 1.0000 | | [-0.41610.90930] | 8 | 100 | 0.9994 | | [-0.41610.90930] | 8 | 1000 | 0.9999 | | [-0.41610.90930] | 15 | 100 | 0.9999 | | [-0.41610.90930] | 15 | 1000 | 1.000 |
0
| # | Discrimination | Value | | --- | --- | --- | | 1 | Block1 | 1,300 | | 2 | Block2 | 1,365 | | 3 | Block3 | 3,451 | | 4 | Block4 | 3,571 | | 5 | Total | 9,687 | | 6 | ASesinroutingtable(12Fev2018) | 59,789 |
| 7 | IRRobjectsnumber(ARIN) | 10 | | --- | --- | --- | | 8 | NumberofprotocolsinTCP/IP | 51 |
1
| # | Discrimination | Value | | --- | --- | --- | | 1 | Block1 | 1,300 | | 2 | Block2 | 1,365 | | 3 | Block3 | 3,451 | | 4 | Block4 | 3,571 | | 5 | Total | 9,687 | | 6 | ASesinroutingtable(12Fev2018) | 59,789 |
| NetworkgroupID | N | minc | maxc | µ | On | | --- | --- | --- | --- | --- | --- | | N1 | 1000 | 10 | 50 | 0-0.5 | 100 | | N2 | 1000 | 20 | 100 | 0-0.5 | 100 | | N3 | 5000 | 10 | 50 | 0-0.5 | 500 | | N4 | 5000 | 20 | 100 | 0-0.5 | 500 | | N5 | 1000 | 10 | 50 | 0.1 | 0-500 | | N6 | 1000 | 20 | 100 | 0.1 | 0-500 | | N7 | 5000 | 10 | 50 | 0.1 | 0-2000 | | N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |
0
| # | Discrimination | Value | | --- | --- | --- | | 1 | Block1 | 1,300 | | 2 | Block2 | 1,365 | | 3 | Block3 | 3,451 | | 4 | Block4 | 3,571 | | 5 | Total | 9,687 |
| 6 | ASesinroutingtable(12Fev2018) | 59,789 | | --- | --- | --- | | 7 | IRRobjectsnumber(ARIN) | 10 | | 8 | NumberofprotocolsinTCP/IP | 51 |
1
| # | Discrimination | Value | | --- | --- | --- | | 1 | Block1 | 1,300 | | 2 | Block2 | 1,365 | | 3 | Block3 | 3,451 | | 4 | Block4 | 3,571 | | 5 | Total | 9,687 |
| N5 | 1000 | 10 | 50 | 0.1 | 0-500 | | --- | --- | --- | --- | --- | --- | | N6 | 1000 | 20 | 100 | 0.1 | 0-500 | | N7 | 5000 | 10 | 50 | 0.1 | 0-2000 | | N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |
0
| Notation | Description | | --- | --- | | puv | theprobabilityofedgeeu,v | | p(u,v)r | thereachabilityprobabilityfromutov | | p(u,v)i | theipathfromutov |
| ruv | thesumofthepathsfromutov | | --- | --- | | wu | theweightofnodeu | | IVT(u) | theinfluencevaluetreeofu | | WDT(u) | theweightdiscounttreeofu | | Vu | thevalueofnodeu | | Wu | thevaluegeneratedbyuinu’sneighborhood | | Ou | thesetofsuccessorsofu | | Iu | thesetofpredecessorsofu | | θ | boundparameterofBWRalgorithm | | α | stepswhichinfluencecanpropagate | | β | performanceboundofBWR |
1
| Notation | Description | | --- | --- | | puv | theprobabilityofedgeeu,v | | p(u,v)r | thereachabilityprobabilityfromutov | | p(u,v)i | theipathfromutov |
| Symbol | Meaning | | --- | --- | | V | thesetofnodes | | E | thesetofedges | | dc | thesumofthedegreesofnodesincommunityc | | W | thesumofalledgeweights | | Wc,cij | thesumofweightsofedgesconnectingcommunitiescandcij | | W | thesumofweightsofedgesinsidecommunityc | | W | thesumofweightsofedgeswithoneendpointincommunityc | | Wc | theweightofcommunityc,equalto2W+W | | C | apartitionofthegraph,formedbyasetofdisjointcommunities | | ∆Qc,cij | themodulairychangecausedbyjoiningcommunitiescandcij | | we | theweightofedgee | | xe | thetopologicalfeaturevectorofedgee | | h() | thelossfunction |
0
| Notation | Description | | --- | --- | | puv | theprobabilityofedgeeu,v | | p(u,v)r | thereachabilityprobabilityfromutov | | p(u,v)i | theipathfromutov | | ruv | thesumofthepathsfromutov | | wu | theweightofnodeu | | IVT(u) | theinfluencevaluetreeofu | | WDT(u) | theweightdiscounttreeofu | | Vu | thevalueofnodeu | | Wu | thevaluegeneratedbyuinu’sneighborhood |
| Ou | thesetofsuccessorsofu | | --- | --- | | Iu | thesetofpredecessorsofu | | θ | boundparameterofBWRalgorithm | | α | stepswhichinfluencecanpropagate | | β | performanceboundofBWR |
1
| Notation | Description | | --- | --- | | puv | theprobabilityofedgeeu,v | | p(u,v)r | thereachabilityprobabilityfromutov | | p(u,v)i | theipathfromutov | | ruv | thesumofthepathsfromutov | | wu | theweightofnodeu | | IVT(u) | theinfluencevaluetreeofu | | WDT(u) | theweightdiscounttreeofu | | Vu | thevalueofnodeu | | Wu | thevaluegeneratedbyuinu’sneighborhood |
| we | theweightofedgee | | --- | --- | | xe | thetopologicalfeaturevectorofedgee | | h() | thelossfunction |
0