[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

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Comparative Analysis of Power Loses in Selected Measurement Devices 283 Electronic meter with GSM/GPRS modem 2,350 2,300 2,250 S, VA 2,200 2,150 2,100 0 10 20 30 40 50 samples Electronic meter with PLC modem 5,495 5,490 5,485 5,480 5,475 S, VA 5,470 5,465 5,460 5,455 5,450 0 10 20 30 40 50 samples Fig. 4. Fragments of measurement series registered for various 1-phase electronic meters
284 A. Nawrat et al. Table 1. Comparison of typical power loss values for 1-phase electronic meters 1-phase electronic meters Power loss (typical values) Meter Number Modem type P1h, W Q1h, Var S1h, VA type L1GSM 1 GSM/GPRS 2.17 (1.02) -0.04 (-0.04) 2.17 (1.02) L1GSM 2 GSM/GPRS 2.13 (1.01) -0.15 (-0.04) 2.14 (1.01) L1GSM 3 GSM/GPRS 2.15 (1.00) -0.15 (-0.04) 2.15 (1.00) L1PLC 1 PLC:IEC61334-5-1 2.08 4.93 5.35 L1PLC 2 PLC:IEC61334-5-1 2.13 5.05 5.48 L1PLC 3 PLC:IEC61334-5-1 2.12 4.97 5.40 P1 1 - 0.40 -0.65 0.77 P1 2 - 0.36 -0.55 0.65 P1 3 - 0.39 -0.64 0.75 (...) - power loss values for a meter with a disconnected GSM/GPRS modem Table 2. Comparison of maximum power loss values for 1-phase electronic meters 1-phase electronic meters Power loss (maximum values) Meter type Number Modem type P1h, W Q1h, Var S1h, VA L1GSM 1 GSM/GPRS 2.34 (1.06) -0.06 2.34 (-0.09) (1.07) L1GSM 2 GSM/GPRS 2.89 (1.05) -0.15 2.89 (-0.08) (1.05) L1GSM 3 GSM/GPRS 2.34 (1.05) -0.15 2.35 (-0.08) (1.05) L1PLC 1 PLC:IEC61334-5-1 2.11 5.06 5.48 L1PLC 2 PLC:IEC61334-5-1 2.15 5.06 5.50 L1PLC 3 PLC:IEC61334-5-1 2.13 5.00 5.43 P1 1 - 0.44 -0.69 0.82 P1 2 - 0.39 -0.59 0.71 P1 3 - 0.43 -0.68 0.80 (...) - power loss values for a meter with a disconnected GSM/GPRS modem The results presented in the tables account for: real power P1h, reactive power Q1h and apparent power S1h, obtained for the basic harmonic of the measured current. The tables present only some selected but representative measurement results for various types of meters. Measurements were conducted for multiple meters of one type and only results from three meters of one type are shown in the tables so as to present the characteristic result repeatability.
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Studies in Computational Intelligen
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Aleksander Nawrat · Zygmunt Kuś E
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“In God We Trust, All others we o
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VIII Preface valuable information i
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Contents Part I: Design of Object D
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Contents XIII Technology Developmen
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XVI List of Contributors Adam Czorn
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XVIII List of Contributors Henryk M
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XX List of Contributors Józef Wron
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2 Design of Object Detection, Recog
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4 A. Babiarz et al. 1 Introduction
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6 A. Babiarz et al. The description
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8 A. Babiarz et al. a) b) Fig. 5. T
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10 A. Babiarz et al. o o o “micvo
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12 A. Babiarz et al. a) b) Fig. 7.
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14 A. Babiarz et al. • The camera
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16 A. Babiarz et al. the camera ser
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18 A. Babiarz et al. a) b) Fig. 11.
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20 A. Babiarz et al. patrol point i
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22 A. Babiarz et al. particular ang
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24 A. Babiarz et al. The sample cod
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Recognition and Location of Objects
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48 P. Demski et al. Fig. 1. Automat
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50 P. Demski et al. E-Grip firing m
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52 P. Demski et al. 4 Automatic Tar
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54 P. Demski et al. implementing su
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Object Tracking for Rapid Camera Mo
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Object Tracking in a Picture during
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94 Construction of Image Acquisitio
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96 G. Bieszczad et al. effectivenes
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98 G. Bieszczad et al. such a way t
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100 G. Bieszczad et al. Table 1. No
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102 G. Bieszczad et al. Fig. 7. Pri
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104 G. Bieszczad et al. Fig. 10. Re
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108 G. Bieszczad et al. Fig. 16. Op
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110 G. Bieszczad et al. has to make
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112 G. Bieszczad et al. MTF functio
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114 G. Bieszczad et al. [11] Krupi
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116 D. Bereska et al. Presented in
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118 D. Bereska et al. Fig. 2. Image
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120 D. Bereska et al. Fig. 4. Ortho
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Omnidirectional Video Acquisition D
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Part III Design of Vision Based Con
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Vision System for Group of Mobile R
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A Distributed Control Group of Mobi
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178 D. Bereska et al. The aim of th
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180 D. Bereska et al. 3 Control Alg
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182 D. Bereska et al. Fig. 5. Schem
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184 D. Bereska et al. 4.1 Mechanica
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186 D. Bereska et al. 4.1.3 Open-Lo
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188 D. Bereska et al. Fig. 16. Comp
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Probabilistic Approach to Planning
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206 Practical Applications of Class
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208 M. Mellado and K. Skrzypczyk an
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210 M. Mellado and K. Skrzypczyk a
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216 M. Mellado and K. Skrzypczyk 6
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Prototyping the Autonomous Flight A
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336 M. Koźlak, A. Kurzeja, and A.
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344 Conclusions Control algorithms
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[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

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