Performance Analysis of an Electromagnetic Transponder-based DMLC Tracking System for 4D Radiotherapy Delivery

2009 ◽  
Vol 75 (3) ◽  
pp. S575-S576 ◽  
Author(s):  
A. Sawant ◽  
B. Cho ◽  
P. Poulsen ◽  
D. Ruan ◽  
J. Newell ◽  
...  
PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0217782 ◽  
Author(s):  
Lars Reinhardt ◽  
René Schwesig ◽  
Andreas Lauenroth ◽  
Stephan Schulze ◽  
Eduard Kurz

2015 ◽  
Vol 793 ◽  
pp. 353-357
Author(s):  
F.S. Abdullah ◽  
H.M. Nuhafiz ◽  
O. Mardianaliza ◽  
A. Yusof ◽  
Noor Anida

Solar tracker is a device that detects the movement of the sun. Solar tracker receive maximum sun ray in order to produce the maximum power supply by the photovoltaic (PV) panels system. It also depends on the environment factor such as solar irradiation and temperature of the panels. This paper presents the development of the automatic solar tracking system, the construction of the sensor circuit, programming of the control system and also its performance analysis. This automatic solar tracking system is designed with an electronic circuit control using PIC that can trigger the dc motors when the LDR sensors detect sunlight. DC motor will move vertical and 360 ̊ horizontal to increase efficiency of sunlight to the solar panel. Solar panel for the project gets power supply from the battery. The battery will be charged using power from the solar panel.


Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4113 ◽  
Author(s):  
Jose Luis Felipe ◽  
Jorge Garcia-Unanue ◽  
David Viejo-Romero ◽  
Archit Navandar ◽  
Javier Sánchez-Sánchez

The aim of the present study was to assess the accuracy of a multi-camera tracking system (Mediacoach®) to track elite football players’ movements in real time. A total of 207 observations of 38 official matches from Liga 1, 2, 3™ (2nd Spanish Division, season 2017/18) were included in the study (88 defenders, 84 midfielders, and 35 attackers of the same team). Total distance (TD, m) distance in zone 4 (DZ4) at a speed of 14–21 km/h, distance in zone 5 (DZ5) at a speed of 21–24 km/h (DZ5), distance in zone 6 (DZ6) at a speed of ≥24 km/h, maximum speed (km/h), and number of sprints (actions above 24 km/h) were registered with the Apex® GPS system (STATSports™, Newry, N. Ireland) and Mediacoach® semi-automatic tracking system (LaLiga™, Madrid, Spain). The level of agreement between variables estimated by the two systems was analyzed. Bias was also calculated by deducting the GPS estimated value from the video estimated value, and then dividing the difference score by the GPS estimated value. All variables showed high ICC values (>0.75) and very large correlations (r > 0.70). However the video-based performance analysis system overestimated the results obtained in the different speed zones (DZ5: +16.59 ± 62.29 m; LOA95%: −105.49 to 138.68; DZ6: +93.26 ± 67.76 m; LOA95%: −39.55 to 226.07), the number of sprints (+2.27 ± 2.94; LOA95%: −3.49 to 8.02), and the maximum speed (+0.32 ± 1.25 km/h; LOA95%: −2.13 to 2.77). The maximum bias was found in DZ6 (47%). This demonstrates that Mediacoach® is as accurate as a GPS system to obtain objective data in real time, adapted to physical and movement demands of elite football, especially for total distance and distances traveled at medium speeds.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Kenshi Saho

The steady-state performance of a moving-object tracking filter is theoretically analyzed, assuming the simultaneous measurement of the range and range-rate (RRM system), and the use of linear frequency modulated (LFM) waveforms (RRM-LFM filter). An efficient analytical steady-state performance index, called an RMS index, is derived for the RRM-LFM filter to clarify the steady-state range prediction errors, theoretically. Using the derived RMS index, the optimal performance of the RRM-LFM filter is analyzed. The performance variation due to the use of LFM waveforms is clarified for the RRM tracking system. The theoretical performance analysis verifies that the measured range-rate significantly improves the tracking accuracy, compared to the conventional range-only measuring LFM tracking filter. Furthermore, the quantitative relationships among the measurement accuracy, degree of target maneuvering, and steady-state range prediction errors are clarified to validate the effectiveness of the RRM-LFM filter.


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