premise
string
hypothesis
string
label
int64
| cpu-cycles | L1-dcache-loads | dTLB-loads | | --- | --- | --- | | branches | L1-dcache-stores | iTLB-loads | | instructions | L1-icache-loads | dTLB-load-misses |
| branch-misses | L1-icache-load-misses | iTLB-load-misses | | --- | --- | --- | | branch-loads | LLC-loads | dTLB-stores | | branch-load-misses | LLC-load-misses | dTLB-store-misses | | cache-references | LLC-stores | | | cache-misses | LLC-store-misses | | | ref-cycles | | | | bus-cycles | | |
1
| cpu-cycles | L1-dcache-loads | dTLB-loads | | --- | --- | --- | | branches | L1-dcache-stores | iTLB-loads | | instructions | L1-icache-loads | dTLB-load-misses |
| Parameter | Code | ValueforO2 | ValueforTexas | | --- | --- | --- | --- | | Systemclass | SYSCLASS | Pageserver | Centralized | | Networkthroughput | NETTHRU | +∞ | N/A | | Diskpagesize | PGSIZE | 4096bytes | 4096bytes | | Buffersize | BUFFSIZE | 3840pages | 3275pages | | Bufferpagereplacementstrategy | PGREP | LRU | LRU | | Prefetchingpolicy | PREFETCH | None | None | | Objectclusteringpolicy | CLUSTP | None | DSTC | | Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential | | Disksearchtime | DISKSEA | 6.3ms | 7.4ms | | Disklatencytime | DISKLAT | 2.99ms | 4.3ms | | Disktransfertime | DISKTRA | 0.7ms | 0.5ms | | Multiprogramminglevel | MULTILVL | 10 | 1 | | Locksacquisitiontime | GETLOCK | 0.5ms | 0 | | Locksreleasetime | RELLOCK | 0.5ms | 0 | | Numberofusers | NUSERS | 1 | 1 |
0
| cpu-cycles | L1-dcache-loads | dTLB-loads | | --- | --- | --- | | branches | L1-dcache-stores | iTLB-loads | | instructions | L1-icache-loads | dTLB-load-misses |
| branch-misses | L1-icache-load-misses | iTLB-load-misses | | --- | --- | --- | | branch-loads | LLC-loads | dTLB-stores | | branch-load-misses | LLC-load-misses | dTLB-store-misses | | cache-references | LLC-stores | | | cache-misses | LLC-store-misses | | | ref-cycles | | | | bus-cycles | | |
1
| cpu-cycles | L1-dcache-loads | dTLB-loads | | --- | --- | --- | | branches | L1-dcache-stores | iTLB-loads | | instructions | L1-icache-loads | dTLB-load-misses |
| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential | | --- | --- | --- | --- | | Disksearchtime | DISKSEA | 6.3ms | 7.4ms | | Disklatencytime | DISKLAT | 2.99ms | 4.3ms | | Disktransfertime | DISKTRA | 0.7ms | 0.5ms | | Multiprogramminglevel | MULTILVL | 10 | 1 | | Locksacquisitiontime | GETLOCK | 0.5ms | 0 | | Locksreleasetime | RELLOCK | 0.5ms | 0 | | Numberofusers | NUSERS | 1 | 1 |
0
| Strategy | RMSE±STD | CPUTime | Nb | µ | | --- | --- | --- | --- | --- | | SK-Hype | - | 1740.47 | 103 | - | | GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |
| M=5,µ=0.25,σ=0.24920 | | | | | | --- | --- | --- | --- | --- | | CCBS<br>GCBS | 0.0659±0.0037<br>0.0650±0.0036 | 513.21<br>533.48 | 6<br>6 | 0.2499<br>0.2499 | | M=10,µ=0.1111,σ=0.10170 | | | | | | CCBS<br>GCBS | 0.0435±0.0016<br>0.0500±0.0023 | 495.13<br>497.92 | 12<br>12 | 0.1024<br>0.1019 | | M=20,µ=0.0526,σ=0.05030 | | | | | | CCBS<br>GCBS | 0.0301±0.0008<br>0.0309±0.0009 | 488.67<br>488.66 | 21<br>21 | 0.0433<br>0.0472 | | M=30,µ=0.0345,σ=0.03360 | | | | | | CCBS<br>GCBS | 0.0260±0.0007<br>0.0263±0.0007 | 535.64<br>538.63 | 26<br>26 | 0.0336<br>0.0336 |
1
| Strategy | RMSE±STD | CPUTime | Nb | µ | | --- | --- | --- | --- | --- | | SK-Hype | - | 1740.47 | 103 | - | | GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |
| Strategy | RMSE±STD | CPUTime | Nb | µ | | --- | --- | --- | --- | --- | | SK-Hype | - | 282.42 | 188 | - | | GKKM | 0.0777±0.0036 | 19.289 | 13 | 0.8162 | | M=5,µ=0.25,σ=0.09630 | | | | | | CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 | | M=10,µ=0.1111,σ=0.04890 | | | | | | CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 | | M=20,µ=0.0526,σ=0.02600 | | | | | | CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 | | M=30,µ=0.0345,σ=0.01780 | | | | | | CCBS<br>GCBS | 0.0378±0.0010<br>0.0395±0.0011 | 20.6932<br>20.4790 | 35<br>34 | 0.0333<br>0.0300 |
0
| Strategy | RMSE±STD | CPUTime | Nb | µ | | --- | --- | --- | --- | --- | | SK-Hype | - | 1740.47 | 103 | - | | GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |
| M=5,µ=0.25,σ=0.24920 | | | | | | --- | --- | --- | --- | --- | | CCBS<br>GCBS | 0.0659±0.0037<br>0.0650±0.0036 | 513.21<br>533.48 | 6<br>6 | 0.2499<br>0.2499 | | M=10,µ=0.1111,σ=0.10170 | | | | | | CCBS<br>GCBS | 0.0435±0.0016<br>0.0500±0.0023 | 495.13<br>497.92 | 12<br>12 | 0.1024<br>0.1019 | | M=20,µ=0.0526,σ=0.05030 | | | | | | CCBS<br>GCBS | 0.0301±0.0008<br>0.0309±0.0009 | 488.67<br>488.66 | 21<br>21 | 0.0433<br>0.0472 | | M=30,µ=0.0345,σ=0.03360 | | | | | | CCBS<br>GCBS | 0.0260±0.0007<br>0.0263±0.0007 | 535.64<br>538.63 | 26<br>26 | 0.0336<br>0.0336 |
1
| Strategy | RMSE±STD | CPUTime | Nb | µ | | --- | --- | --- | --- | --- | | SK-Hype | - | 1740.47 | 103 | - | | GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |
| M=5,µ=0.25,σ=0.09630 | | | | | | --- | --- | --- | --- | --- | | CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 | | M=10,µ=0.1111,σ=0.04890 | | | | | | CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 | | M=20,µ=0.0526,σ=0.02600 | | | | | | CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 | | M=30,µ=0.0345,σ=0.01780 | | | | | | CCBS<br>GCBS | 0.0378±0.0010<br>0.0395±0.0011 | 20.6932<br>20.4790 | 35<br>34 | 0.0333<br>0.0300 |
0
| | Org.Image | MSRCR | ImprovedMSRCR | ProposedMethod | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | TestImages | AWE | DWE | AWE | DWE | AWE | DWE | AWE | DWE | | Swan | 99.57 | 0.423 | 99.84 | 0.154 | 99.76 | 0.2375 | 99.62 | 0.374 |
| Port | 99.60 | 0.394 | 99.87 | 0.126 | 99.83 | 0.163 | 99.68 | 0.317 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Girl | 99.75 | 0.244 | 99.91 | 0.087 | 99.87 | 0.127 | 99.82 | 0.175 |
1
| | Org.Image | MSRCR | ImprovedMSRCR | ProposedMethod | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | TestImages | AWE | DWE | AWE | DWE | AWE | DWE | AWE | DWE | | Swan | 99.57 | 0.423 | 99.84 | 0.154 | 99.76 | 0.2375 | 99.62 | 0.374 |
| Noiseless | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Image | NCSR | Our | Improvement | | | | | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | | | Butterfly | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 | | Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 | | Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 | | Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 | | Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 | | Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 | | Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 | | Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 | | Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 | | Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 | | Noisy | | | | | | | | Image | NCSR | Our | Improvement | | | | | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | | | Butterfly | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 | | Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 | | Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 | | Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 | | Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 | | Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 | | Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 | | Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 | | Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 | | Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 |
0
| | Org.Image | MSRCR | ImprovedMSRCR | ProposedMethod | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | TestImages | AWE | DWE | AWE | DWE | AWE | DWE | AWE | DWE |
| Swan | 99.57 | 0.423 | 99.84 | 0.154 | 99.76 | 0.2375 | 99.62 | 0.374 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Port | 99.60 | 0.394 | 99.87 | 0.126 | 99.83 | 0.163 | 99.68 | 0.317 | | Girl | 99.75 | 0.244 | 99.91 | 0.087 | 99.87 | 0.127 | 99.82 | 0.175 |
1
| | Org.Image | MSRCR | ImprovedMSRCR | ProposedMethod | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | TestImages | AWE | DWE | AWE | DWE | AWE | DWE | AWE | DWE |
| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | | | --- | --- | --- | --- | --- | --- | --- | | Butterfly | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 | | Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 | | Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 | | Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 | | Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 | | Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 | | Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 | | Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 | | Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 | | Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 | | Noisy | | | | | | | | Image | NCSR | Our | Improvement | | | | | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | | | Butterfly | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 | | Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 | | Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 | | Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 | | Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 | | Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 | | Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 | | Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 | | Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 | | Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 |
0
| | Systemoflinearequations(EuclideanGeometry) | | --- | --- | | Operations | ArithmeticOperations | | Constraints | LinearEquations | | Unknowns | Variables | | Algorithms | VariableElimination |
| Solution | Consistency | | --- | --- | | Nosolution | Inconsistency |
1
| | Systemoflinearequations(EuclideanGeometry) | | --- | --- | | Operations | ArithmeticOperations | | Constraints | LinearEquations | | Unknowns | Variables | | Algorithms | VariableElimination |
| Version | Problem | Squarespersecond | | --- | --- | --- | | Standard(Algorithms??and??) | DLS9 | 1.8×10 | | Bitarithmetic(Algorithm??) | DLS9 | 2.6×10 | | Optimizedbitarithmetic<br>(Algorithm??) | DLS9 | 6.8×10 | | LS8 | 9×10 | | | DLS8 | 5.8×10 | | | LS9 | 8.0×10 | | | LS10 | 6.3×10 | | | DLS10 | 6.0×10 | |
0
| | Systemoflinearequations(EuclideanGeometry) | | --- | --- | | Operations | ArithmeticOperations |
| Constraints | LinearEquations | | --- | --- | | Unknowns | Variables | | Algorithms | VariableElimination | | Solution | Consistency | | Nosolution | Inconsistency |
1
| | Systemoflinearequations(EuclideanGeometry) | | --- | --- | | Operations | ArithmeticOperations |
| Bitarithmetic(Algorithm??) | DLS9 | 2.6×10 | | --- | --- | --- | | Optimizedbitarithmetic<br>(Algorithm??) | DLS9 | 6.8×10 | | LS8 | 9×10 | | | DLS8 | 5.8×10 | | | LS9 | 8.0×10 | | | LS10 | 6.3×10 | | | DLS10 | 6.0×10 | |
0
| Model | 200dB | 150dB | 100dB | | --- | --- | --- | --- | | F15 | 100±0.0 | 100±0.0 | 98.33±2.02 | | F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 | | J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 |
| J15 | 97.08±4.16 | 97.08±4.95 | 90.83±6.35 | | --- | --- | --- | --- | | MIG29 | 100±0.0 | 99.58±1.22 | 98.75±2.14 | | MIG35 | 99.16±1.84 | 98.75±3.16 | 96.66±3.53 | | EF2000 | 99.58±1.05 | 100±0.0 | 97.91±2.58 |
1
| Model | 200dB | 150dB | 100dB | | --- | --- | --- | --- | | F15 | 100±0.0 | 100±0.0 | 98.33±2.02 | | F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 | | J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 |
| Model | 200dB | 150dB | 100dB | | --- | --- | --- | --- | | F15 | 99.44±1.10 | 100±0.0 | 78.05±7.26 | | F16 | 100±0.0 | 99.72±0.93 | 79.16±8.18 | | J11 | 95.55±3.99 | 96.94±2.15 | 64.72±6.14 | | J15 | 92.77±5.13 | 95.83±3.09 | 66.38±5.88 | | MIG29 | 98.33±2.56 | 99.16±1.44 | 77.50±7.98 | | MIG35 | 99.16±1.35 | 99.16±1.49 | 75.55±6.83 | | EF2000 | 99.72±0.85 | 100±0.0 | 91.94±4.25 |
0
| Model | 200dB | 150dB | 100dB | | --- | --- | --- | --- | | F15 | 100±0.0 | 100±0.0 | 98.33±2.02 | | F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 | | J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 | | J15 | 97.08±4.16 | 97.08±4.95 | 90.83±6.35 | | MIG29 | 100±0.0 | 99.58±1.22 | 98.75±2.14 |
| MIG35 | 99.16±1.84 | 98.75±3.16 | 96.66±3.53 | | --- | --- | --- | --- | | EF2000 | 99.58±1.05 | 100±0.0 | 97.91±2.58 |
1
| Model | 200dB | 150dB | 100dB | | --- | --- | --- | --- | | F15 | 100±0.0 | 100±0.0 | 98.33±2.02 | | F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 | | J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 | | J15 | 97.08±4.16 | 97.08±4.95 | 90.83±6.35 | | MIG29 | 100±0.0 | 99.58±1.22 | 98.75±2.14 |
| J11 | 95.55±3.99 | 96.94±2.15 | 64.72±6.14 | | --- | --- | --- | --- | | J15 | 92.77±5.13 | 95.83±3.09 | 66.38±5.88 | | MIG29 | 98.33±2.56 | 99.16±1.44 | 77.50±7.98 | | MIG35 | 99.16±1.35 | 99.16±1.49 | 75.55±6.83 | | EF2000 | 99.72±0.85 | 100±0.0 | 91.94±4.25 |
0
| Matrix | Method | No.ofProcesses | | | | | | --- | --- | --- | --- | --- | --- | --- | | 256 | 512 | 1024 | 2048 | 4096 | | | | nemeth03 | QDWH-PD | 16.51 | 12.02 | 8.14 | 7.36 | 5.55 |
| Zolo-PD | 16.56 | 8.55 | 6.42 | 4.79 | 4.44 | | | --- | --- | --- | --- | --- | --- | --- | | Speedup | 1.00 | 1.41 | 1.27 | 1.70 | 1.25 | | | fv1 | QDWH-PD | 16.16 | 12.75 | 8.62 | 7.23 | 5.97 | | Zolo-PD | 22.26 | 10.87 | 7.40 | 6.02 | 5.82 | | | Speedup | 0.73 | 1.17 | 1.16 | 1.20 | 1.03 | | | linverse | QDWH-PD | 37.63 | 20.25 | 12.97 | 10.15 | 9.35 | | Zolo-PD | 37.40 | 19.07 | 12.43 | 8.75 | 7.92 | | | Speedup | 1.01 | 1.06 | 1.04 | 1.16 | 1.18 | |
1
| Matrix | Method | No.ofProcesses | | | | | | --- | --- | --- | --- | --- | --- | --- | | 256 | 512 | 1024 | 2048 | 4096 | | | | nemeth03 | QDWH-PD | 16.51 | 12.02 | 8.14 | 7.36 | 5.55 |
| Method | LFW-a4× | LFW-a8× | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | | | NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 | | Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 | | KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 | | SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 | | LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 | | MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 | | YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 | | BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 | | GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |
0
| Matrix | Method | No.ofProcesses | | | | | | --- | --- | --- | --- | --- | --- | --- | | 256 | 512 | 1024 | 2048 | 4096 | | | | nemeth03 | QDWH-PD | 16.51 | 12.02 | 8.14 | 7.36 | 5.55 | | Zolo-PD | 16.56 | 8.55 | 6.42 | 4.79 | 4.44 | | | Speedup | 1.00 | 1.41 | 1.27 | 1.70 | 1.25 | | | fv1 | QDWH-PD | 16.16 | 12.75 | 8.62 | 7.23 | 5.97 | | Zolo-PD | 22.26 | 10.87 | 7.40 | 6.02 | 5.82 | | | Speedup | 0.73 | 1.17 | 1.16 | 1.20 | 1.03 | |
| linverse | QDWH-PD | 37.63 | 20.25 | 12.97 | 10.15 | 9.35 | | --- | --- | --- | --- | --- | --- | --- | | Zolo-PD | 37.40 | 19.07 | 12.43 | 8.75 | 7.92 | | | Speedup | 1.01 | 1.06 | 1.04 | 1.16 | 1.18 | |
1
| Matrix | Method | No.ofProcesses | | | | | | --- | --- | --- | --- | --- | --- | --- | | 256 | 512 | 1024 | 2048 | 4096 | | | | nemeth03 | QDWH-PD | 16.51 | 12.02 | 8.14 | 7.36 | 5.55 | | Zolo-PD | 16.56 | 8.55 | 6.42 | 4.79 | 4.44 | | | Speedup | 1.00 | 1.41 | 1.27 | 1.70 | 1.25 | | | fv1 | QDWH-PD | 16.16 | 12.75 | 8.62 | 7.23 | 5.97 | | Zolo-PD | 22.26 | 10.87 | 7.40 | 6.02 | 5.82 | | | Speedup | 0.73 | 1.17 | 1.16 | 1.20 | 1.03 | |
| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 | | YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 | | BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 | | GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |
0
| Layer | Time(seconds) | | --- | --- | | Convlayer(92featuremaps) | 331 | | Convlayer(92featuremaps) | 1025 | | Convlayer(92featuremaps) | 1107 | | ActivationLayer | 135 |
| Convlayer(192featuremaps) | 1439 | | --- | --- | | Convlayer(192featuremaps) | 1649 | | ActivationLayer | 153 | | Convlayer(192featuremaps) | 2192 | | Convlayer(192featuremaps) | 1873 | | Convlayer(192featuremaps) | 1725 | | GlobalAveragePoolingLayer | 35 | | FullyConnected | 22 |
1
| Layer | Time(seconds) | | --- | --- | | Convlayer(92featuremaps) | 331 | | Convlayer(92featuremaps) | 1025 | | Convlayer(92featuremaps) | 1107 | | ActivationLayer | 135 |
| Layer | Time(seconds) | | --- | --- | | Convlayer(32featuremaps) | 29 | | Convlayer(32featuremaps) | 755 | | ActivationLayer | 113 | | AveragePoolingLayer | 15 | | Convlayer(64featuremaps) | 249 | | Convlayer(64featuremaps) | 314 | | ActivationLayer | 127 | | Convlayer(128featuremaps) | 418 | | Convlayer(128featuremaps) | 405 | | ActivationLayer | 101 | | AveragePoolingLayer | 3 | | 2FullyConnected(256and10neurons) | 32 |
0
| Layer | Time(seconds) | | --- | --- | | Convlayer(92featuremaps) | 331 | | Convlayer(92featuremaps) | 1025 | | Convlayer(92featuremaps) | 1107 | | ActivationLayer | 135 |
| Convlayer(192featuremaps) | 1439 | | --- | --- | | Convlayer(192featuremaps) | 1649 | | ActivationLayer | 153 | | Convlayer(192featuremaps) | 2192 | | Convlayer(192featuremaps) | 1873 | | Convlayer(192featuremaps) | 1725 | | GlobalAveragePoolingLayer | 35 | | FullyConnected | 22 |
1
| Layer | Time(seconds) | | --- | --- | | Convlayer(92featuremaps) | 331 | | Convlayer(92featuremaps) | 1025 | | Convlayer(92featuremaps) | 1107 | | ActivationLayer | 135 |
| Convlayer(64featuremaps) | 314 | | --- | --- | | ActivationLayer | 127 | | Convlayer(128featuremaps) | 418 | | Convlayer(128featuremaps) | 405 | | ActivationLayer | 101 | | AveragePoolingLayer | 3 | | 2FullyConnected(256and10neurons) | 32 |
0
| City | NumberofdistinctIPs | | --- | --- | | Athens,Greece | 92,866 | | London,UnitedKingdom | 65,203 | | Perth,Australia | 53,386 | | Brisbane,Australia | 49,144 | | Mumbai,India | 48,027 | | Toronto,Canada | 45,828 | | Sydney,Australia | 42,899 | | Islamabad,Pakistan | 41,850 |
| Melbourne,Australia | 38,469 | | --- | --- | | Delhi,India | 38,432 |
1
| City | NumberofdistinctIPs | | --- | --- | | Athens,Greece | 92,866 | | London,UnitedKingdom | 65,203 | | Perth,Australia | 53,386 | | Brisbane,Australia | 49,144 | | Mumbai,India | 48,027 | | Toronto,Canada | 45,828 | | Sydney,Australia | 42,899 | | Islamabad,Pakistan | 41,850 |
| Region | Numberofmentions | Numberofusers(senders) | | --- | --- | --- | | California | 2,349,901 | 217,439 | | LosAngeles | 918,360 | 51,625 | | UK | 3,721,716 | 612,368 | | London | 614,045 | 58,046 |
0
| City | NumberofdistinctIPs | | --- | --- | | Athens,Greece | 92,866 | | London,UnitedKingdom | 65,203 | | Perth,Australia | 53,386 |
| Brisbane,Australia | 49,144 | | --- | --- | | Mumbai,India | 48,027 | | Toronto,Canada | 45,828 | | Sydney,Australia | 42,899 | | Islamabad,Pakistan | 41,850 | | Melbourne,Australia | 38,469 | | Delhi,India | 38,432 |
1
| City | NumberofdistinctIPs | | --- | --- | | Athens,Greece | 92,866 | | London,UnitedKingdom | 65,203 | | Perth,Australia | 53,386 |
| LosAngeles | 918,360 | 51,625 | | --- | --- | --- | | UK | 3,721,716 | 612,368 | | London | 614,045 | 58,046 |
0
| Numberoftrainingimagesperclass | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Method | 5 | 10 | 15 | 20 | 25 | 30 | | AK-NN | 27.3±0.5 | 32.6±0.6 | 36.1±0.9 | 38.0±1.1 | 39.9±1.0 | 42.4±1.5 | | PK-NN | 27.5±0.7 | 32.8±1.0 | 36.4±1.1 | 38.3±1.2 | 40.4±1.1 | 42.9±1.4 | | BIK-NN | 29.4±0.9 | 35.5±1.2 | 39.5±0.7 | 41.3±1.0 | 43.3±0.8 | 45.7±1.1 | | AK-RT-KFDA+NN | 46.0±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.2 | 70.8±0.9 | 73.6±1.1 | | PK-RT-KFDA+NN | 45.0±0.6 | 56.1±0.6 | 62.6±0.6 | 66.7±0.7 | 69.4±0.9 | 72.4±1.0 |
| BIK-RT-KFDA+NN | 46.1±0.6 | 54.8±0.1 | 59.7±0.5 | 63.0±0.8 | 65.4±0.7 | 67.8±0.7 | | --- | --- | --- | --- | --- | --- | --- | | MKL-RT-KFDA+NN | 45.7±0.6 | 58.6±0.4 | 65.3±0.8 | 69.5±0.7 | 72.1±0.4 | 74.6±0.7 | | MKL-DR-KFDA+NN | 40.2±4.0 | 53.6±2.5 | 61.7±1.4 | 65.5±0.8 | 68.6±0.9 | 72.1±1.2 | | AK-SVM | 44.4±0.6 | 55.7±0.5 | 62.2±1.1 | 66.1±1.0 | 68.9±1.0 | 71.6±1.5 | | PK-SVM | 43.6±0.7 | 54.7±0.5 | 61.3±0.9 | 65.4±0.8 | 68.3±0.7 | 71.3±1.4 | | BIK-SVM | 46.1±0.9 | 55.6±0.5 | 61.0±0.2 | 64.3±0.9 | 66.9±0.8 | 69.4±0.4 | | MKL-SVM | 42.1±1.2 | 55.1±0.7 | 62.3±0.8 | 67.1±0.9 | 70.5±0.8 | 73.7±0.7 | | AK-RT-KFDA+SVM | 46.1±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.0 | 70.8±0.9 | 73.7±1.0 | | PK-RT-KFDA+SVM | 45.0±0.6 | 56.2±0.6 | 62.6±0.7 | 66.7±0.8 | 69.4±0.9 | 72.5±1.1 | | BIK-RT-KFDA+SVM | 46.1±0.6 | 54.8±0.2 | 59.8±0.4 | 63.0±0.8 | 65.5±0.6 | 67.8±0.7 | | MKL-RT-KFDA+SVM | 46.3±0.9 | 58.9±0.4 | 65.5±0.7 | 69.7±1.0 | 72.2±0.4 | 74.7±0.7 | | MKL-DR-KFDA+SVM | 40.2±4.0 | 53.6±2.5 | 61.7±1.4 | 65.5±0.8 | 68.6±0.9 | 72.1±1.3 |
1
| Numberoftrainingimagesperclass | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Method | 5 | 10 | 15 | 20 | 25 | 30 | | AK-NN | 27.3±0.5 | 32.6±0.6 | 36.1±0.9 | 38.0±1.1 | 39.9±1.0 | 42.4±1.5 | | PK-NN | 27.5±0.7 | 32.8±1.0 | 36.4±1.1 | 38.3±1.2 | 40.4±1.1 | 42.9±1.4 | | BIK-NN | 29.4±0.9 | 35.5±1.2 | 39.5±0.7 | 41.3±1.0 | 43.3±0.8 | 45.7±1.1 | | AK-RT-KFDA+NN | 46.0±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.2 | 70.8±0.9 | 73.6±1.1 | | PK-RT-KFDA+NN | 45.0±0.6 | 56.1±0.6 | 62.6±0.6 | 66.7±0.7 | 69.4±0.9 | 72.4±1.0 |
| | 1cm | 2cm | 4cm | 8cm | | --- | --- | --- | --- | --- | | DNN-ILD | 3.01±.044 | 3.03±.046 | 3.10±.047 | 3.23±.049 | | Linear-ILD | 0.92±.017 | 2.21±.036 | 3.18±.049 | 3.43±.052 | | DNN-IPD | 0.46±.008 | 0.48±.009 | 0.50±.009 | 0.54±.009 | | Linear-IPD | 0.17±.005 | 0.38±.008 | 0.53±.009 | 0.57±.010 |
0
| Numberoftrainingimagesperclass | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Method | 5 | 10 | 15 | 20 | 25 | 30 |
| AK-NN | 27.3±0.5 | 32.6±0.6 | 36.1±0.9 | 38.0±1.1 | 39.9±1.0 | 42.4±1.5 | | --- | --- | --- | --- | --- | --- | --- | | PK-NN | 27.5±0.7 | 32.8±1.0 | 36.4±1.1 | 38.3±1.2 | 40.4±1.1 | 42.9±1.4 | | BIK-NN | 29.4±0.9 | 35.5±1.2 | 39.5±0.7 | 41.3±1.0 | 43.3±0.8 | 45.7±1.1 | | AK-RT-KFDA+NN | 46.0±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.2 | 70.8±0.9 | 73.6±1.1 | | PK-RT-KFDA+NN | 45.0±0.6 | 56.1±0.6 | 62.6±0.6 | 66.7±0.7 | 69.4±0.9 | 72.4±1.0 | | BIK-RT-KFDA+NN | 46.1±0.6 | 54.8±0.1 | 59.7±0.5 | 63.0±0.8 | 65.4±0.7 | 67.8±0.7 | | MKL-RT-KFDA+NN | 45.7±0.6 | 58.6±0.4 | 65.3±0.8 | 69.5±0.7 | 72.1±0.4 | 74.6±0.7 | | MKL-DR-KFDA+NN | 40.2±4.0 | 53.6±2.5 | 61.7±1.4 | 65.5±0.8 | 68.6±0.9 | 72.1±1.2 | | AK-SVM | 44.4±0.6 | 55.7±0.5 | 62.2±1.1 | 66.1±1.0 | 68.9±1.0 | 71.6±1.5 | | PK-SVM | 43.6±0.7 | 54.7±0.5 | 61.3±0.9 | 65.4±0.8 | 68.3±0.7 | 71.3±1.4 | | BIK-SVM | 46.1±0.9 | 55.6±0.5 | 61.0±0.2 | 64.3±0.9 | 66.9±0.8 | 69.4±0.4 | | MKL-SVM | 42.1±1.2 | 55.1±0.7 | 62.3±0.8 | 67.1±0.9 | 70.5±0.8 | 73.7±0.7 | | AK-RT-KFDA+SVM | 46.1±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.0 | 70.8±0.9 | 73.7±1.0 | | PK-RT-KFDA+SVM | 45.0±0.6 | 56.2±0.6 | 62.6±0.7 | 66.7±0.8 | 69.4±0.9 | 72.5±1.1 | | BIK-RT-KFDA+SVM | 46.1±0.6 | 54.8±0.2 | 59.8±0.4 | 63.0±0.8 | 65.5±0.6 | 67.8±0.7 | | MKL-RT-KFDA+SVM | 46.3±0.9 | 58.9±0.4 | 65.5±0.7 | 69.7±1.0 | 72.2±0.4 | 74.7±0.7 | | MKL-DR-KFDA+SVM | 40.2±4.0 | 53.6±2.5 | 61.7±1.4 | 65.5±0.8 | 68.6±0.9 | 72.1±1.3 |
1
| Numberoftrainingimagesperclass | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Method | 5 | 10 | 15 | 20 | 25 | 30 |
| Linear-ILD | 0.92±.017 | 2.21±.036 | 3.18±.049 | 3.43±.052 | | --- | --- | --- | --- | --- | | DNN-IPD | 0.46±.008 | 0.48±.009 | 0.50±.009 | 0.54±.009 | | Linear-IPD | 0.17±.005 | 0.38±.008 | 0.53±.009 | 0.57±.010 |
0
| | Aspectratio | Convexity | HScircularity | Solidity | | --- | --- | --- | --- | --- | | Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 | | Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |
| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 | | --- | --- | --- | --- | --- | | Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 |
1
| | Aspectratio | Convexity | HScircularity | Solidity | | --- | --- | --- | --- | --- | | Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 | | Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |
| block-size/sparsity | top-10 | top-20 | top-30 | top-40 | | --- | --- | --- | --- | --- | | 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 | | 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 | | 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 | | 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 | | 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |
0
| | Aspectratio | Convexity | HScircularity | Solidity | | --- | --- | --- | --- | --- | | Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 | | Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |
| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 | | --- | --- | --- | --- | --- | | Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 |
1
| | Aspectratio | Convexity | HScircularity | Solidity | | --- | --- | --- | --- | --- | | Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 | | Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |
| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 | | --- | --- | --- | --- | --- | | 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 | | 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |
0
| Tracker | Framerate(fps) | | --- | --- | | ProposedMethod | 0.211 | | Struck | 25.1 | | SCM | 0.771 | | TLD | 36.2 |
| CXT | 23.6 | | --- | --- | | VTD | 9.82 |
1
| Tracker | Framerate(fps) | | --- | --- | | ProposedMethod | 0.211 | | Struck | 25.1 | | SCM | 0.771 | | TLD | 36.2 |
| Tracker | | --- | | AUC<br>Prec. | | AUC<br>Prec. | | AUC<br>Prec. | | FPS |
0
| Tracker | Framerate(fps) | | --- | --- | | ProposedMethod | 0.211 | | Struck | 25.1 | | SCM | 0.771 |
| TLD | 36.2 | | --- | --- | | CXT | 23.6 | | VTD | 9.82 |
1
| Tracker | Framerate(fps) | | --- | --- | | ProposedMethod | 0.211 | | Struck | 25.1 | | SCM | 0.771 |
| AUC<br>Prec. | | --- | | FPS |
0
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R | | --- | --- | --- | --- | --- | --- | --- | | FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 | | SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 | | HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |
| BSCA | 0.1754 | 0.5925 | 0.7616 | 0.1291 | 1 | 0.0525 | | --- | --- | --- | --- | --- | --- | --- | | LPS | 0.1252 | 0.5890 | 0.6831 | 0.1291 | 1 | 0.0166 | | RGBD1 | 0.3207 | 0.4843 | 0.7771 | 0.1291 | 1 | 0.2228 | | RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 | | OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 | | OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 | | OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 |
1
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R | | --- | --- | --- | --- | --- | --- | --- | | FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 | | SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 | | HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R | | --- | --- | --- | --- | --- | --- | --- | | FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 | | SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 | | HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 | | BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 | | LPS | 0.1406 | 0.5452 | 0.6951 | 0.1262 | 1 | 0.0026 | | RGBD1 | 0.3079 | 0.5410 | 0.8561 | 0.1262 | 1 | 0.1731 | | RGBD2 | 0.1165 | 0.4912 | 0.7699 | 0.1262 | 1 | 0.0049 | | OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 | | OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 | | OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |
0
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R | | --- | --- | --- | --- | --- | --- | --- | | FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 | | SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 | | HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |
| BSCA | 0.1754 | 0.5925 | 0.7616 | 0.1291 | 1 | 0.0525 | | --- | --- | --- | --- | --- | --- | --- | | LPS | 0.1252 | 0.5890 | 0.6831 | 0.1291 | 1 | 0.0166 | | RGBD1 | 0.3207 | 0.4843 | 0.7771 | 0.1291 | 1 | 0.2228 | | RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 | | OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 | | OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 | | OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 |
1
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R | | --- | --- | --- | --- | --- | --- | --- | | FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 | | SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 | | HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |
| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 | | --- | --- | --- | --- | --- | --- | --- | | OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |
0
| No.ofline<br>segments<br>(n) | Sensing<br>range<br>(ρ) | Approximateno.<br>ofsensors<br>byour12-approxalgo. | Optimalno.<br>ofsensors | | --- | --- | --- | --- | | 10<br>10<br>10<br>10 | 20<br>30<br>40<br>50 | 8.94<br>8.16<br>7.73<br>7.68 | 6.57<br>6.05<br>5.60<br>5.30 | | 15<br>15<br>15<br>15 | 20<br>30<br>40<br>50 | 12.54<br>11.27<br>10.20<br>9.78 | 9.77<br>7.91<br>7.70<br>6.44 |
| 20<br>20<br>20<br>20 | 20<br>30<br>40<br>50 | 15.00<br>14.33<br>13.13<br>11.67 | 13.25<br>****<br>****<br>**** | | --- | --- | --- | --- | | 30<br>30<br>30<br>30 | 20<br>30<br>40<br>50 | 22.2<br>19.27<br>17.13<br>15.87 | ****<br>****<br>****<br>**** |
1
| No.ofline<br>segments<br>(n) | Sensing<br>range<br>(ρ) | Approximateno.<br>ofsensors<br>byour12-approxalgo. | Optimalno.<br>ofsensors | | --- | --- | --- | --- | | 10<br>10<br>10<br>10 | 20<br>30<br>40<br>50 | 8.94<br>8.16<br>7.73<br>7.68 | 6.57<br>6.05<br>5.60<br>5.30 | | 15<br>15<br>15<br>15 | 20<br>30<br>40<br>50 | 12.54<br>11.27<br>10.20<br>9.78 | 9.77<br>7.91<br>7.70<br>6.44 |
| ρ | | --- | | 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 | | 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 | | 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 | | 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 | | 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |
0
| No.ofline<br>segments<br>(n) | Sensing<br>range<br>(ρ) | Approximateno.<br>ofsensors<br>byour12-approxalgo. | Optimalno.<br>ofsensors | | --- | --- | --- | --- | | 10<br>10<br>10<br>10 | 20<br>30<br>40<br>50 | 8.94<br>8.16<br>7.73<br>7.68 | 6.57<br>6.05<br>5.60<br>5.30 | | 15<br>15<br>15<br>15 | 20<br>30<br>40<br>50 | 12.54<br>11.27<br>10.20<br>9.78 | 9.77<br>7.91<br>7.70<br>6.44 |
| 20<br>20<br>20<br>20 | 20<br>30<br>40<br>50 | 15.00<br>14.33<br>13.13<br>11.67 | 13.25<br>****<br>****<br>**** | | --- | --- | --- | --- | | 30<br>30<br>30<br>30 | 20<br>30<br>40<br>50 | 22.2<br>19.27<br>17.13<br>15.87 | ****<br>****<br>****<br>**** |
1
| No.ofline<br>segments<br>(n) | Sensing<br>range<br>(ρ) | Approximateno.<br>ofsensors<br>byour12-approxalgo. | Optimalno.<br>ofsensors | | --- | --- | --- | --- | | 10<br>10<br>10<br>10 | 20<br>30<br>40<br>50 | 8.94<br>8.16<br>7.73<br>7.68 | 6.57<br>6.05<br>5.60<br>5.30 | | 15<br>15<br>15<br>15 | 20<br>30<br>40<br>50 | 12.54<br>11.27<br>10.20<br>9.78 | 9.77<br>7.91<br>7.70<br>6.44 |
| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 | | --- | | 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 | | 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |
0
| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum | | --- | --- | --- | --- | --- | --- | --- | --- | | 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 | | 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 | | 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 | | 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |
| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 | | --- | --- | --- | --- | --- | --- | --- | --- | | 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 | | All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 |
1
| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum | | --- | --- | --- | --- | --- | --- | --- | --- | | 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 | | 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 | | 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 | | 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |
| AverageF1score | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 10 | 30 | 50 | 100 | 200 | 500 | 10 | 30 | 50 | 100 | 200 | | 53.17 | | | | | | | | | | | | 52.16 | 53.74 | 54.36 | 55.24 | 55.60 | 55.06 | 70.61 | 73.00 | 73.84 | 74.94 | 75.32 | | 56.54 | 57.42 | 57.85 | 57.87 | 58.22 | 58.39 | 76.45 | 77.64 | 78.14 | 78.52 | 79.07 | | 56.27 | 57.74 | 58.49 | 58.76 | 59.12 | 58.88 | 75.04 | 77.83 | 78.72 | 79.23 | 79.67 | | 58.66 | 60.04 | 60.56 | 60.18 | 60.48 | 60.17 | 78.25 | 80.15 | 80.59 | 80.20 | 80.27 |
0
| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum | | --- | --- | --- | --- | --- | --- | --- | --- | | 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 | | 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 | | 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 | | 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 | | 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |
| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 | | --- | --- | --- | --- | --- | --- | --- | --- | | All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 |
1
| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum | | --- | --- | --- | --- | --- | --- | --- | --- | | 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 | | 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 | | 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 | | 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 | | 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |
| 52.16 | 53.74 | 54.36 | 55.24 | 55.60 | 55.06 | 70.61 | 73.00 | 73.84 | 74.94 | 75.32 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 56.54 | 57.42 | 57.85 | 57.87 | 58.22 | 58.39 | 76.45 | 77.64 | 78.14 | 78.52 | 79.07 | | 56.27 | 57.74 | 58.49 | 58.76 | 59.12 | 58.88 | 75.04 | 77.83 | 78.72 | 79.23 | 79.67 | | 58.66 | 60.04 | 60.56 | 60.18 | 60.48 | 60.17 | 78.25 | 80.15 | 80.59 | 80.20 | 80.27 |
0
| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | †<br>C | S | P | P/S | P/C | | | | | SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 | | 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 | | | | 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 | | | | ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 | | | | Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 | | | 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 | | | | 4-4 | 155.35 | 237.61 | §<br>max | – | – | | | | Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 | | | | MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 | | 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 | | | | 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 | | | | Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 | | |
| Read | 1-16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 | | --- | --- | --- | --- | --- | --- | --- | | 2-8 | 79.32 | 122.48 | 201.42 | 1.64 | 2.54 | | | 4-4 | 150.94 | 230.17 | max | – | – | | | Mean | 90.59 | 139.13 | 217.18 | 1.68 | 2.60 | |
1
| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | †<br>C | S | P | P/S | P/C | | | | | SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 | | 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 | | | | 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 | | | | ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 | | | | Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 | | | 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 | | | | 4-4 | 155.35 | 237.61 | §<br>max | – | – | | | | Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 | | | | MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 | | 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 | | | | 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 | | | | Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 | | |
| Cell | Mode | Way | Performance(MB/s) | Ratio | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | †<br>C | S | P | P/S | P/C | | | | | SLC | Write | 1 | 7.77 | 8.38 | 8.50 | 1.01 | 1.09 | | 2 | 15.22 | 16.59 | 17.52 | 1.06 | 1.15 | | | | 4 | 28.94 | 31.90 | 34.30 | 1.08 | 1.19 | | | | 8 | 39.78 | 55.36 | 63.00 | 1.14 | 1.58 | | | | 16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 | | | | ‡<br>Mean | 26.29 | 34.53 | 44.13 | 1.16 | 1.42 | | | | Read | 1 | 27.78 | 36.66 | 47.89 | 1.31 | 1.72 | | | 2 | 42.78 | 67.16 | 70.47 | 1.05 | 1.65 | | | | 4 | 42.75 | 67.13 | 117.68 | 1.75 | 2.75 | | | | 8 | 42.72 | 67.11 | 117.64 | 1.75 | 2.75 | | | | 16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 | | | | Mean | 39.74 | 61.03 | 94.25 | 1.49 | 2.26 | | | | MLC | Write | 1 | 4.43 | 4.55 | 4.65 | 1.02 | 1.05 | | 2 | 8.36 | 8.85 | 9.24 | 1.04 | 1.11 | | | | 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 | | | | 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 | | | | 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 | | | | Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 | | | | Read | 1 | 26.04 | 33.58 | 42.69 | 1.27 | 1.64 | | | 2 | 41.59 | 60.41 | 77.19 | 1.28 | 1.86 | | | | 4 | 41.55 | 64.76 | 101.61 | 1.57 | 2.45 | | | | 8 | 41.52 | 64.75 | 110.56 | 1.71 | 2.66 | | | | 16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 | | | | Mean | 38.44 | 57.65 | 88.51 | 1.49 | 2.21 | | |
0
| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | †<br>C | S | P | P/S | P/C | | | | | SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |
| 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 | | | | --- | --- | --- | --- | --- | --- | --- | --- | | 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 | | | | ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 | | | | Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 | | | 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 | | | | 4-4 | 155.35 | 237.61 | §<br>max | – | – | | | | Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 | | | | MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 | | 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 | | | | 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 | | | | Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 | | | | Read | 1-16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 | | | 2-8 | 79.32 | 122.48 | 201.42 | 1.64 | 2.54 | | | | 4-4 | 150.94 | 230.17 | max | – | – | | | | Mean | 90.59 | 139.13 | 217.18 | 1.68 | 2.60 | | |
1
| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | †<br>C | S | P | P/S | P/C | | | | | SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |
| 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 | | | --- | --- | --- | --- | --- | --- | --- | | 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 | | | 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 | | | Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 | | | Read | 1 | 26.04 | 33.58 | 42.69 | 1.27 | 1.64 | | 2 | 41.59 | 60.41 | 77.19 | 1.28 | 1.86 | | | 4 | 41.55 | 64.76 | 101.61 | 1.57 | 2.45 | | | 8 | 41.52 | 64.75 | 110.56 | 1.71 | 2.66 | | | 16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 | | | Mean | 38.44 | 57.65 | 88.51 | 1.49 | 2.21 | |
0
| Query | MEM1 | MEM2 | MEM3 | | --- | --- | --- | --- | | NG1 | 446 | 1757 | 7057 | | NG2 | 3 | 6 | 13 | | NG3 | 52 | 105 | 203 | | NG4 | 0 | 0 | 0 | | NG5 | 27 | 104 | 465 |
| NG6 | 434 | 1666 | 6974 | | --- | --- | --- | --- | | NG7 | 11 | 22 | 46 | | NG8 | 53 | 100 | 202 | | NG11 | 533 | 1773 | 7208 | | NG12 | 12 | 23 | 61 | | NG13 | 53 | 109 | 220 | | NG14 | 446 | 1774 | 7106 | | NG15 | 454 | 1869 | 7367 | | NG16 | 12 | 28 | 49 | | NG17 | 55 | 135 | 227 |
1
| Query | MEM1 | MEM2 | MEM3 | | --- | --- | --- | --- | | NG1 | 446 | 1757 | 7057 | | NG2 | 3 | 6 | 13 | | NG3 | 52 | 105 | 203 | | NG4 | 0 | 0 | 0 | | NG5 | 27 | 104 | 465 |
| Query | NAT1 | NAT2 | NAT3 | NATR1 | | --- | --- | --- | --- | --- | | NG1 | 590 | 2489 | 10056 | 2475 | | NG2 | 3 | 10 | 24 | 11 | | NG3 | 63 | 128 | 256 | 248 | | NG4 | 1839 | N/A | N/A | N/A | | NG5 | 204 | 702 | 2965 | 94 | | NG6 | 355 | 2474 | 10225 | 2242 | | NG7 | 19 | 33 | 76 | 37 | | NG8 | 142 | 124 | 256 | 241 | | NG11 | 637 | 2645 | 10406 | 2269 | | NG12 | 17 | 36 | 79 | 37 | | NG13 | 64 | 128 | 265 | 241 | | NG14 | 720 | 5886 | 11777 | 2413 | | NG15 | 678 | 2714 | 10696 | 2334 | | NG16 | 19 | 37 | 103 | 34 | | NG17 | 69 | 131 | 268 | 240 |
0
| Query | MEM1 | MEM2 | MEM3 | | --- | --- | --- | --- | | NG1 | 446 | 1757 | 7057 | | NG2 | 3 | 6 | 13 | | NG3 | 52 | 105 | 203 | | NG4 | 0 | 0 | 0 | | NG5 | 27 | 104 | 465 | | NG6 | 434 | 1666 | 6974 |
| NG7 | 11 | 22 | 46 | | --- | --- | --- | --- | | NG8 | 53 | 100 | 202 | | NG11 | 533 | 1773 | 7208 | | NG12 | 12 | 23 | 61 | | NG13 | 53 | 109 | 220 | | NG14 | 446 | 1774 | 7106 | | NG15 | 454 | 1869 | 7367 | | NG16 | 12 | 28 | 49 | | NG17 | 55 | 135 | 227 |
1
| Query | MEM1 | MEM2 | MEM3 | | --- | --- | --- | --- | | NG1 | 446 | 1757 | 7057 | | NG2 | 3 | 6 | 13 | | NG3 | 52 | 105 | 203 | | NG4 | 0 | 0 | 0 | | NG5 | 27 | 104 | 465 | | NG6 | 434 | 1666 | 6974 |
| NG8 | 142 | 124 | 256 | 241 | | --- | --- | --- | --- | --- | | NG11 | 637 | 2645 | 10406 | 2269 | | NG12 | 17 | 36 | 79 | 37 | | NG13 | 64 | 128 | 265 | 241 | | NG14 | 720 | 5886 | 11777 | 2413 | | NG15 | 678 | 2714 | 10696 | 2334 | | NG16 | 19 | 37 | 103 | 34 | | NG17 | 69 | 131 | 268 | 240 |
0
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment | | \numberofauthors | 200 | Authorenumeration |
| \table | 300 | Fortables | | --- | --- | --- | | \table* | 400 | Forwidertables |
1
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment | | \numberofauthors | 200 | Authorenumeration |
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment | | \numberofauthors | 200 | Authorenumeration | | \table | 300 | Fortables | | \table* | 400 | Forwidertables |
0
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | --- | --- | --- | | \table | 300 | Fortables | | \table* | 400 | Forwidertables |
1
| Command | ANumber | Comments | | --- | --- | --- | | \alignauthor | 100 | Authoralignment |
| \table | 300 | Fortables | | --- | --- | --- | | \table* | 400 | Forwidertables |
0
| Imageandscheme | Horizontal | Vertical | Diagonal | | --- | --- | --- | --- | | PlainLena | 0.9481 | 0.9737 | 0.9244 |
| EncryptedLena | −0.0014 | 0.0025 | 0.0051 | | --- | --- | --- | --- | | PlainBaboon | 0.8701 | 0.8411 | 0.7889 | | EncryptedBaboon | 0.0077 | −0.002 | −0.0039 | | PlainCameraman | 0.9556 | 0.9738 | 0.934 | | EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 | | PlainPirate | 0.9434 | 0.9564 | 0.9134 | | EncryptedPirate | −0.002 | 5.25×10 | −0.0048 |
1
| Imageandscheme | Horizontal | Vertical | Diagonal | | --- | --- | --- | --- | | PlainLena | 0.9481 | 0.9737 | 0.9244 |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | | --- | --- | --- | --- | --- | | 14.19 | 13.26 | 13.13 | 13.84 | 14.90 | | 16.57 | 17.12 | 16.94 | 17.08 | 17.38 | | 21.97 | 22.76 | 23.91 | 25.89 | 27.53 | | 30.93 | 32.50 | 33.59 | 35.36 | 35.59 | | 15.06 | 15.43 | 15.64 | 16.07 | 16.78 | | 63.48 | 66.97 | 68.83 | 73.45 | 74.66 | | 56.67 | 71.41 | 76.50 | 80.40 | 82.73 | | 59.09 | 61.17 | 68.15 | 69.22 | 70.74 | | 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |
0
| Imageandscheme | Horizontal | Vertical | Diagonal | | --- | --- | --- | --- | | PlainLena | 0.9481 | 0.9737 | 0.9244 |
| EncryptedLena | −0.0014 | 0.0025 | 0.0051 | | --- | --- | --- | --- | | PlainBaboon | 0.8701 | 0.8411 | 0.7889 | | EncryptedBaboon | 0.0077 | −0.002 | −0.0039 | | PlainCameraman | 0.9556 | 0.9738 | 0.934 | | EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 | | PlainPirate | 0.9434 | 0.9564 | 0.9134 | | EncryptedPirate | −0.002 | 5.25×10 | −0.0048 |
1
| Imageandscheme | Horizontal | Vertical | Diagonal | | --- | --- | --- | --- | | PlainLena | 0.9481 | 0.9737 | 0.9244 |
| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 | | --- | --- | --- | --- | --- | | 56.67 | 71.41 | 76.50 | 80.40 | 82.73 | | 59.09 | 61.17 | 68.15 | 69.22 | 70.74 | | 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |
0
| | Valueofpinthep-norm | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Committee | 1 | 2 | 3 | 4 | 10 | 100 | | {A,A}12 | 1700 | 78.74 | 28.68 | 17.42 | 7.19 | 4.24 |
| {A,B}11 | 1840 | 61.97 | 20.26 | 11.77 | 5.42 | 4.12 | | --- | --- | --- | --- | --- | --- | --- | | {A,B}12 | 2020 | 64.81 | 20.83 | 11.99 | 5.42 | 4.12 | | {A,B}21 | 1980 | 63.56 | 20.33 | 11.60 | 5.08 | 4.09 | | {A,B}22 | 2160 | 71.55 | 23.78 | 14.11 | 6.34 | 4.19 | | {B,B}12 | 2300 | 92.74 | 32.14 | 19.00 | 7.45 | 4.26 |
1
| | Valueofpinthep-norm | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Committee | 1 | 2 | 3 | 4 | 10 | 100 | | {A,A}12 | 1700 | 78.74 | 28.68 | 17.42 | 7.19 | 4.24 |
| | Valueofpinthep-norm | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Committee | 1 | 2 | 3 | 4 | 10 | 100 | | {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 | | {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 | | {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 | | {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 | | {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 | | {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 |
0
| | Valueofpinthep-norm | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Committee | 1 | 2 | 3 | 4 | 10 | 100 | | {A,A}12 | 1700 | 78.74 | 28.68 | 17.42 | 7.19 | 4.24 | | {A,B}11 | 1840 | 61.97 | 20.26 | 11.77 | 5.42 | 4.12 |
| {A,B}12 | 2020 | 64.81 | 20.83 | 11.99 | 5.42 | 4.12 | | --- | --- | --- | --- | --- | --- | --- | | {A,B}21 | 1980 | 63.56 | 20.33 | 11.60 | 5.08 | 4.09 | | {A,B}22 | 2160 | 71.55 | 23.78 | 14.11 | 6.34 | 4.19 | | {B,B}12 | 2300 | 92.74 | 32.14 | 19.00 | 7.45 | 4.26 |
1
| | Valueofpinthep-norm | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Committee | 1 | 2 | 3 | 4 | 10 | 100 | | {A,A}12 | 1700 | 78.74 | 28.68 | 17.42 | 7.19 | 4.24 | | {A,B}11 | 1840 | 61.97 | 20.26 | 11.77 | 5.42 | 4.12 |
| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 | | --- | --- | --- | --- | --- | --- | --- | | {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 | | {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 | | {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 |
0
| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 | | Modified | d=5 | 17.24 | 12.61 | 11.79 | 12.08 | 12.82 | 10.36 | 18.81 | 12.36 | 9.38 | | Ayers | d=10 | 16.36 | 7.04 | 8.04 | 9.63 | 24.20 | 10.58 | 19.26 | 9.58 | 16.78 | | Modified | d=10 | 15.30 | 13.01 | 12.58 | 11.86 | 16.86 | 16.33 | 20.44 | 11.61 | 10.47 |
| Ayers | d=15 | 10.52 | 13.85 | 12.71 | 14.85 | 13.49 | 15.64 | 18.38 | 9.01 | 7.20 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Modified | d=15 | 20.96 | 11.70 | 16.14 | 12.99 | 20.76 | 19.80 | 21.23 | 15.08 | 11.42 |
1
| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 | | Modified | d=5 | 17.24 | 12.61 | 11.79 | 12.08 | 12.82 | 10.36 | 18.81 | 12.36 | 9.38 | | Ayers | d=10 | 16.36 | 7.04 | 8.04 | 9.63 | 24.20 | 10.58 | 19.26 | 9.58 | 16.78 | | Modified | d=10 | 15.30 | 13.01 | 12.58 | 11.86 | 16.86 | 16.33 | 20.44 | 11.61 | 10.47 |
| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Ayers | d=5 | 5.39 | 17.98 | 6.13 | 9.20 | 8.22 | 5.52 | 12.31 | 7.52 | 6.79 | | Modified | d=5 | 9.16 | 11.00 | 10.36 | 11.80 | 9.85 | 10.37 | 16.49 | 8.90 | 10.86 | | Ayers | d=10 | 4.57 | 5.25 | 5.12 | 8.70 | 7.61 | 10.93 | 13.51 | 6.52 | 7.70 | | Modified | d=10 | 11.14 | 9.41 | 9.81 | 11.61 | 9.96 | 12.80 | 16.04 | 9.45 | 11.45 | | Ayers | d=15 | 4.94 | 5.30 | 5.90 | 7.81 | 6.33 | 7.76 | 11.49 | 8.47 | 5.56 | | Modified | d=15 | 9.00 | 10.60 | 11.51 | 12.04 | 10.31 | 10.49 | 14.16 | 10.72 | 10.99 |
0
| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 |
| Modified | d=5 | 17.24 | 12.61 | 11.79 | 12.08 | 12.82 | 10.36 | 18.81 | 12.36 | 9.38 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Ayers | d=10 | 16.36 | 7.04 | 8.04 | 9.63 | 24.20 | 10.58 | 19.26 | 9.58 | 16.78 | | Modified | d=10 | 15.30 | 13.01 | 12.58 | 11.86 | 16.86 | 16.33 | 20.44 | 11.61 | 10.47 | | Ayers | d=15 | 10.52 | 13.85 | 12.71 | 14.85 | 13.49 | 15.64 | 18.38 | 9.01 | 7.20 | | Modified | d=15 | 20.96 | 11.70 | 16.14 | 12.99 | 20.76 | 19.80 | 21.23 | 15.08 | 11.42 |
1
| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 |
| Ayers | d=15 | 4.94 | 5.30 | 5.90 | 7.81 | 6.33 | 7.76 | 11.49 | 8.47 | 5.56 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Modified | d=15 | 9.00 | 10.60 | 11.51 | 12.04 | 10.31 | 10.49 | 14.16 | 10.72 | 10.99 |
0
| record | Name | Matches | Runs | Highest | Source | | --- | --- | --- | --- | --- | --- | | r1 | SMGavaskar | 125 | 10122 | 236 | s1 | | r2 | LalaAmarnath | 24 | 878 | 118 | s1 | | r3 | YajurvindraSingh | 4 | 109 | 43 | s1 | | r4 | Gavaskar | 125 | 10122 | 236 | s2 | | r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 | | r6 | YuvrajSingh | 40 | 1900 | 169 | s2 | | r7 | SunilGavaskar | 125 | 10122 | 236 | s3 | | r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |
| r9 | YograjSingh | 1 | 10 | 6 | s3 | | --- | --- | --- | --- | --- | --- | | r10 | YSingh | 40 | 1900 | 169 | s4 |
1
| record | Name | Matches | Runs | Highest | Source | | --- | --- | --- | --- | --- | --- | | r1 | SMGavaskar | 125 | 10122 | 236 | s1 | | r2 | LalaAmarnath | 24 | 878 | 118 | s1 | | r3 | YajurvindraSingh | 4 | 109 | 43 | s1 | | r4 | Gavaskar | 125 | 10122 | 236 | s2 | | r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 | | r6 | YuvrajSingh | 40 | 1900 | 169 | s2 | | r7 | SunilGavaskar | 125 | 10122 | 236 | s3 | | r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |
| record | Name | Matches | Runs | Highest | Source | | --- | --- | --- | --- | --- | --- | | r3 | YajurvindraSingh | 4 | 109 | 43 | s1 | | r6 | YuvrajSingh | 40 | 1900 | 169 | s2 | | r9 | YograjSingh | 1 | 10 | 6 | s3 | | r10 | YSingh | 40 | 1900 | 169 | s4 |
0
| record | Name | Matches | Runs | Highest | Source | | --- | --- | --- | --- | --- | --- | | r1 | SMGavaskar | 125 | 10122 | 236 | s1 | | r2 | LalaAmarnath | 24 | 878 | 118 | s1 | | r3 | YajurvindraSingh | 4 | 109 | 43 | s1 | | r4 | Gavaskar | 125 | 10122 | 236 | s2 | | r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 |
| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 | | --- | --- | --- | --- | --- | --- | | r7 | SunilGavaskar | 125 | 10122 | 236 | s3 | | r8 | SurinderAmarnath | 10 | 550 | 124 | s3 | | r9 | YograjSingh | 1 | 10 | 6 | s3 | | r10 | YSingh | 40 | 1900 | 169 | s4 |
1
| record | Name | Matches | Runs | Highest | Source | | --- | --- | --- | --- | --- | --- | | r1 | SMGavaskar | 125 | 10122 | 236 | s1 | | r2 | LalaAmarnath | 24 | 878 | 118 | s1 | | r3 | YajurvindraSingh | 4 | 109 | 43 | s1 | | r4 | Gavaskar | 125 | 10122 | 236 | s2 | | r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 |
| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 | | --- | --- | --- | --- | --- | --- | | r9 | YograjSingh | 1 | 10 | 6 | s3 | | r10 | YSingh | 40 | 1900 | 169 | s4 |
0
| | | | | | | --- | --- | --- | --- | --- | | 256×128 | 128×32 | 256×144 | 128×128 | 512×128 | | | | | | | | | | | | | | | | | | |
| | | | | | | --- | --- | --- | --- | --- | | | | | | |
1
| | | | | | | --- | --- | --- | --- | --- | | 256×128 | 128×32 | 256×144 | 128×128 | 512×128 | | | | | | | | | | | | | | | | | | |
| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 | | 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 | | 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 | | 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 | | 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 | | 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 | | 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 | | 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 | | 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |
0
| | | | | | | --- | --- | --- | --- | --- | | 256×128 | 128×32 | 256×144 | 128×128 | 512×128 | | | | | | | | | | | | |
| | | | | | | --- | --- | --- | --- | --- | | | | | | | | | | | | |
1
| | | | | | | --- | --- | --- | --- | --- | | 256×128 | 128×32 | 256×144 | 128×128 | 512×128 | | | | | | | | | | | | |
| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 | | 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 | | 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |
0
| Cr | craigslist.org | | --- | --- | | Ye | yelp.com | | Am | amazon.com |
| Sp | spiegel.de | | --- | --- | | Wi | wikipedia.org | | Yo | youtube.com | | Cn | cnn.com | | Gu | guardian.co.uk | | Hu | humanevents.com | | Bb | bbc.co.uk |
1
| Cr | craigslist.org | | --- | --- | | Ye | yelp.com | | Am | amazon.com |
| Referrer | Clicks | | --- | --- | | http://www.google.com | 980 | | http://m.facebook.com | 670 | | http://fasebook.c0m.at | 640 | | http://www.facebook.com | 550 | | http://www.clixsense.com | 220 | | http://www.youtube.com | 181 | | http://servinox.com.co | 132 | | http://www.akihabarashop.jp | 130 | | http://dflogins.1s.fr | 91 | | http://www.google.ro | 90 |
0
| Cr | craigslist.org | | --- | --- | | Ye | yelp.com | | Am | amazon.com | | Sp | spiegel.de | | Wi | wikipedia.org | | Yo | youtube.com | | Cn | cnn.com | | Gu | guardian.co.uk |
| Hu | humanevents.com | | --- | --- | | Bb | bbc.co.uk |
1
| Cr | craigslist.org | | --- | --- | | Ye | yelp.com | | Am | amazon.com | | Sp | spiegel.de | | Wi | wikipedia.org | | Yo | youtube.com | | Cn | cnn.com | | Gu | guardian.co.uk |
| http://m.facebook.com | 670 | | --- | --- | | http://fasebook.c0m.at | 640 | | http://www.facebook.com | 550 | | http://www.clixsense.com | 220 | | http://www.youtube.com | 181 | | http://servinox.com.co | 132 | | http://www.akihabarashop.jp | 130 | | http://dflogins.1s.fr | 91 | | http://www.google.ro | 90 |
0
| Network | \|V\| | \|E\| | Time(sec) | | --- | --- | --- | --- | | abilene | 12 | 15 | 1.91 | | dfn-bwin | 10 | 45 | 3.08 | | atlanta | 15 | 22 | 5.28 | | dfn-gwin | 11 | 47 | 13.91 | | geant | 22 | 36 | 23.69 |
| france | 25 | 45 | 44.38 | | --- | --- | --- | --- | | india35 | 35 | 57 | 105.89 |
1
| Network | \|V\| | \|E\| | Time(sec) | | --- | --- | --- | --- | | abilene | 12 | 15 | 1.91 | | dfn-bwin | 10 | 45 | 3.08 | | atlanta | 15 | 22 | 5.28 | | dfn-gwin | 11 | 47 | 13.91 | | geant | 22 | 36 | 23.69 |
| wirei | Delays | | | | --- | --- | --- | --- | | OLC | FPC | FOC | | | 1 | 55.36 | 107.43 | 107.73 | | 2 | 32.20 | 102.71 | 159.65 | | 3 | 51.40 | 106.65 | 154.59 | | 4 | 51.06 | 101.91 | 162.61 | | 5 | 50.79 | 101.89 | 162.77 | | 6 | 51.39 | 106.53 | 154.62 | | 7 | 32.46 | 102.72 | 160.61 | | 8 | 55.36 | 107.39 | 108.88 | | | 73.50 | 141.45 | 209.40 | | T | 62.09 | 106.43 | 152.24 | | T | 53.43 | 98.76 | 98.76 | | T | 42.52 | 102.84 | 157.64 |
0
| Network | \|V\| | \|E\| | Time(sec) | | --- | --- | --- | --- | | abilene | 12 | 15 | 1.91 | | dfn-bwin | 10 | 45 | 3.08 | | atlanta | 15 | 22 | 5.28 |
| dfn-gwin | 11 | 47 | 13.91 | | --- | --- | --- | --- | | geant | 22 | 36 | 23.69 | | france | 25 | 45 | 44.38 | | india35 | 35 | 57 | 105.89 |
1
| Network | \|V\| | \|E\| | Time(sec) | | --- | --- | --- | --- | | abilene | 12 | 15 | 1.91 | | dfn-bwin | 10 | 45 | 3.08 | | atlanta | 15 | 22 | 5.28 |
| 4 | 51.06 | 101.91 | 162.61 | | --- | --- | --- | --- | | 5 | 50.79 | 101.89 | 162.77 | | 6 | 51.39 | 106.53 | 154.62 | | 7 | 32.46 | 102.72 | 160.61 | | 8 | 55.36 | 107.39 | 108.88 | | | 73.50 | 141.45 | 209.40 | | T | 62.09 | 106.43 | 152.24 | | T | 53.43 | 98.76 | 98.76 | | T | 42.52 | 102.84 | 157.64 |
0
| PhysicalProperty | CapacityMetric | Benchmark | Version | | --- | --- | --- | --- | | Communication | DataThroughput | Iperf | 2.0.5 | | Computation | (Latency)Score | HardInfo | 0.5.1 |
| Memory | DataThroughput | STREAM | 5.10 | | --- | --- | --- | --- | | Storage | TransactionSpeed | Bonnie++ | 1.97.1 | | Storage | DataThroughput | Bonnie++ | 1.97.1 |
1
| PhysicalProperty | CapacityMetric | Benchmark | Version | | --- | --- | --- | --- | | Communication | DataThroughput | Iperf | 2.0.5 | | Computation | (Latency)Score | HardInfo | 0.5.1 |
| | L1D | L1I | L2 | L3 | | --- | --- | --- | --- | --- | | Type | WB | WB | WB | MESICoherent | | Size | 32KB | 32KB | 256KB | 12MB | | LineSize | 64 | 64 | 64 | 64 | | Associative | 8 | 4 | 8 | 16 | | Latency | 4 | 2 | 6 | 27 | | ReadPorts | 2 | 2 | 2 | 2 | | WritePorts | 1 | 1 | 2 | 2 | | Prefetcher | None | None | Testing | None |
0
| PhysicalProperty | CapacityMetric | Benchmark | Version | | --- | --- | --- | --- | | Communication | DataThroughput | Iperf | 2.0.5 | | Computation | (Latency)Score | HardInfo | 0.5.1 | | Memory | DataThroughput | STREAM | 5.10 |
| Storage | TransactionSpeed | Bonnie++ | 1.97.1 | | --- | --- | --- | --- | | Storage | DataThroughput | Bonnie++ | 1.97.1 |
1
| PhysicalProperty | CapacityMetric | Benchmark | Version | | --- | --- | --- | --- | | Communication | DataThroughput | Iperf | 2.0.5 | | Computation | (Latency)Score | HardInfo | 0.5.1 | | Memory | DataThroughput | STREAM | 5.10 |
| Latency | 4 | 2 | 6 | 27 | | --- | --- | --- | --- | --- | | ReadPorts | 2 | 2 | 2 | 2 | | WritePorts | 1 | 1 | 2 | 2 | | Prefetcher | None | None | Testing | None |
0