scholarly journals An Economical And Relatively Efficient Implementation of the Real–Time Solar Tracking System

Author(s):  
Sabir Ali Kalhoro ◽  
Sayed Hyder Abbas Musvi ◽  
Sikandar Ali ◽  
Saadullah Rahoojo ◽  
Asim Nawaz
2014 ◽  
Vol 496-500 ◽  
pp. 1289-1292
Author(s):  
De Huan Tang ◽  
De Yang Luo

This paper designed a special welding machine for an aluminum cone bottom workpiece. This machine contains highly accurate positioner system, laser tracking system, and robotic welding devices. It is used to weld the transverse seams and the longitudinal seams of the workpiece. The interaction of welding robot with positioner and the real-time seam correcting can ensure high quality of welding.


2015 ◽  
Vol 31 (5) ◽  
pp. 501-509 ◽  
Author(s):  
Cristina Garibaldi ◽  
Stefania Russo ◽  
Delia Ciardo ◽  
Stefania Comi ◽  
Matteo Seregni ◽  
...  

2008 ◽  
Vol 33 (2) ◽  
pp. 146-157 ◽  
Author(s):  
M.F. Baumgartner ◽  
L. Freitag ◽  
J. Partan ◽  
K.R. Ball ◽  
K.E. Prada

Author(s):  
Silvia Shandurkova

This paper discusses the characteristics and implementation of the GPS navigation system Tracksport in the Bulgarian military orienteering championships. The real-time tracking was used to analyze the parameters of the races, the speed and the optimal route choices in the discussed orienteering military events. The research methods were observation and visualization of the data received from portable GPS-transmitters which used the available GSM-networks and their software processing for displaying real-time GPS tracking during the competitions. The contingent of the study were 41 women and 64 man who participated in the championships. The analysis reveals the necessity for GPS-tracking of such competitions and that it is an important precondition for improving their quality and understanding.


2020 ◽  
Vol 17 (1) ◽  
pp. 68-73
Author(s):  
M. Hemaanand ◽  
V. Sanjay Kumar ◽  
R. Karthika

With the evolution of technology ensuring people for their safety and security all around the time constantly is a big challenge. We propose an advanced technique based on deep learning and artificial intelligence platform that can monitor the people, their homes and their surroundings providing them a quantifiable increase in security. We have surveillance cameras in our homes for video capture as well as security purposes. Our proposed technique is to detect and classify as well as inform the user if there is any breach in security of the classified object using the cameras by implementing deep learning techniques and the technology of internet of things. It can serve as a perimeter monitoring and intruder alert system in smart surveillance environment. This paper provides a well-defined structure for live stream data analysis. It overcomes the challenge of static closed circuit cameras television as it serves as a motion based tracking system and monitors events in real time to ensure activities are limited to specific persons within authorized areas. It has the advantage of creating multiple bounding boxes to track down the objects which could be any living or non-living thing based on the trained modules. The trespasser or intruder can be efficiently detected using the CCTV camera surveillance which is being supported by the real-time object classifier algorithm at the intermediate module. The proposed method is mainly supported by the real time object detection and classification which is implemented using Mobile Net and Single shot detector.


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