Near Real Time Monitoring Systems and Periodic Surveys Using a Multi Sensors UAV: The Case of Ponzano Landslide

2018 ◽  
pp. 303-310 ◽  
Author(s):  
Paolo Allasia ◽  
Marco Baldo ◽  
Daniele Giordan ◽  
Danilo Godone ◽  
Aleksandra Wrzesniak ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring Systems ◽  
Real Time Monitoring

scholarly journals A computational simulation platform for designing real-time monitoring systems with application to COVID-19

2021 ◽  
Vol 171 ◽  
pp. 112716 ◽  
Author(s):  
Fatemeh Shahbazi ◽  
Masoud Jabbari ◽  
Mohammad Nasr Esfahani ◽  
Amir Keshmiri
Keyword(s):  
Real Time ◽  
Computational Simulation ◽  
Monitoring Systems ◽  
Simulation Platform ◽  
Real Time Monitoring

A parallel hot strip mill simulator for testing embedded real-time monitoring systems

1996 ◽  
pp. 639-645 ◽  
Author(s):  
Daniel García ◽  
Francisco Suárez ◽  
Javier García ◽  
Miguel Cuervo ◽  
José María López ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring Systems ◽  
Hot Strip Mill ◽  
Real Time Monitoring ◽  
Hot Strip

scholarly journals Performance assessment of two motion management systems for frameless stereotactic radiosurgery

2020 ◽  
Author(s):  
Hao Wang ◽  
Zhiyong Xu ◽  
Kevin Grantham ◽  
Yongkang Zhou ◽  
Taoran Cui ◽  
...  
Keyword(s):  
Stereotactic Radiosurgery ◽  
Real Time ◽  
Translational Motion ◽  
Vertical Displacement ◽  
Frame Rate ◽  
Monitoring Systems ◽  
Real Time Monitoring ◽  
High Definition ◽  
Motion Management ◽  
Radiation Delivery

Abstract Background/Purpose Frameless stereotactic radiosurgery (SRS) requires dedicated systems to monitor patient motion in order to avoid inaccurate radiation delivery due to involuntary shifts. The purpose of this study is to assess the accuracy and sensitivity of two distinct motion monitoring systems used for frameless SRS. Methods A surface image-guided system known as optical surface monitoring system (OSMS), and a fiducial marker-based system known as high definition motion management (HDMM) as part of the latest Gamma Knife Icon® were compared. A 3D printer-based cranial motion phantom was developed to evaluate the accuracy and sensitivity of these two systems in terms of: (1) the capability to recognize predefined shifts up to 3 cm, and (2) the capability to recognize predefined speeds up to 3 cm/s. The performance of OSMS, in terms of different reference surfaces, was also evaluated. Results Translational motion could be accurately detected by both systems, with an accuracy of 0.3 mm for displacement up to 1 cm, and 0.5 mm for larger displacements. The reference surface selection had an impact on OSMS performance, with flat surface resulting in less accuracy. HDMM was in general more sensitive when compared with OSMS in capturing the motion, due to its faster frame rate, but a delay in response was observed with faster speeds. Both systems were less sensitive in detection of superior-inferior motion when compared to lateral or vertical displacement directions. Conclusion Translational motion can be accurately and sensitively detected by OSMS and HDMM real-time monitoring systems. However, performance variations were observed along different motion directions, as well as amongst the selection of reference images. Caution is needed when using real-time monitoring systems for frameless SRS treatment.

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