added ap positions for figure 5
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@@ -28,7 +28,6 @@
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\usepackage{siunitx}
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\usepackage{array}
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\usepackage{multirow}
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\usepackage{svg}
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%\updates{yes} % If there is an update available, un-comment this line
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@@ -40,8 +40,13 @@ The position of every installed beacon was measured using a laser scanner.
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This allows a comparison with the optimized \docAPshort{} positions.
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Within all Wi-Fi observations, we only consider the beacons, which are identified by their well-known MAC address.
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Other transmitters like smart TVs or smartphone hotspots are ignored as they might cause estimation errors.
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Fig. compares optimized ap vs real positions for the ground level, thus we only illustrated optimized ap', which are really installed there. red created using the global optimization scheme, blue a optimized only for the rechteckigen ground floor.
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%wie fingerprints aufgenommen, wie viele ...
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\todo{Vom Journal Paper 2017 noch diese rote optimierungsgrafik. fig 5. Das wäre eigentlich auch echt nicht schlecht. und dazu auch die werte "results from the
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(absolute) difference between model predictions and real-world values for each reference measurement"}
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\begin{figure}[bt]
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\centering
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\includegraphics[width=0.9\textwidth]{gfx/floorplanDummy.png}
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21
tex/gfx/optimization/global.csv
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21
tex/gfx/optimization/global.csv
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61.889759 20.971733 2.7937136
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27.152971 31.691521 3.4000278
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20.827927 38.590813 2.1992323
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35.295681 46.112408 2.7008920
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48.416313 43.637985 3.4016387
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67.256187 23.238205 3.6450455
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62.103477 5.8988175 2.1953847
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26.148809 27.711763 3.4024999
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37.391994 5.3230300 3.4015412
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33.633240 42.225449 1.8253206
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62.003765 32.399265 2.1992843
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64.963081 27.115309 3.7802711
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26.764648 12.067312 2.7886322
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34.390934 17.924332 9.1728134
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37.511635 19.144972 3.3977609
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52.758915 45.584988 3.0503852
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50.327927 0.2020526 5.7994537
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40.163479 5.8076959 -4.767854
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25.214386 45.106552 0.4912160
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23.778843 45.878197 0.6982268
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66.909050 4.0399690 2.4469268
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21
tex/gfx/optimization/mac.csv
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21
tex/gfx/optimization/mac.csv
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2C:3A:E8:32:8D:E0
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5C:CF:7F:33:F8:F0
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5C:CF:7F:34:00:10
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5C:CF:7F:34:09:50
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5C:CF:7F:34:09:90
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5C:CF:7F:63:32:D0
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5C:CF:7F:63:3B:10
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5C:CF:7F:63:3C:B0
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5C:CF:7F:C3:F9:A0
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5C:CF:7F:C4:0E:20
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60:01:94:03:16:00
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68:C6:3A:9F:71:30
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68:C6:3A:9F:73:E0
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68:C6:3A:9F:A5:90
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68:C6:3A:9F:A5:E0
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68:C6:3A:9F:A6:C0
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68:C6:3A:9F:A6:E0
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68:C6:3A:9F:A8:C0
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EC:FA:BC:0E:77:A0
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EC:FA:BC:0E:B2:70
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EC:FA:BC:0E:B6:E0
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21
tex/gfx/optimization/perFloor.csv
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tex/gfx/optimization/perFloor.csv
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62.35475 20.932068 2.9867821
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27.18160 32.193891 2.9915378
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19.55020 39.380333 2.5801885
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33.87638 38.113228 2.9671619
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48.08998 43.575401 3.0164907
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66.70092 24.336094 3.0262089
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62.95500 7.5631237 2.9838583
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26.60622 28.550955 2.9652195
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37.82112 5.1919737 2.9842739
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33.85469 38.088352 2.9490848
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62.12329 31.414213 3.0285015
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63.33480 27.104052 2.9774592
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26.66643 11.833204 2.9859116
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41.35081 23.048147 2.7501619
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36.58307 18.821566 3.0065417
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52.53012 45.864342 3.0383315
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47.88285 4.1254759 2.9684115
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40.16347 5.8076959 -4.767854
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11.67513 44.691196 1.0626965
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18.19204 41.985649 2.8879371
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66.97501 4.4875493 3.0001009
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21
tex/gfx/optimization/real.csv
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tex/gfx/optimization/real.csv
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60.5 18.8 1.0
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30.4 33.8 0.2
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17.2 39.5 1.0
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33.9 45.0 0.1
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46.0 43.2 1.0
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66.9 20.2 0.2
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60.3 6.80 0.2
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26.4 27.4 2.5
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36.5 4.00 1.2
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33.6 40.6 2.3
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63.8 31.6 0.2
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67.5 27.7 1.0
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30.0 10.3 0.2
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40.7 41.4 2.2
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31.1 19.0 0.2
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52.0 45.0 1.8
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44.6 7.20 0.2
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27.8 4.80 0.2
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28.9 41.5 0.2
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21.9 48.2 0.2
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64.7 3.70 0.2
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