Quantitative Validation of Gait and Swing Angles Determination from Inertial Signals

Author(s):  
Paula Stepien ◽  
Zuzanna Miodonska ◽  
Agnieszka Nawrat-Szoltysik ◽  
Monika N. Bugdol ◽  
Michal Krecichwost ◽  
...  
Author(s):  
Dengrong Jiang ◽  
Raymond C. Koehler ◽  
Xiuyun Liu ◽  
Ewa Kulikowicz ◽  
Jennifer K. Lee ◽  
...  

2008 ◽  
Vol 49 (5) ◽  
pp. 738-745 ◽  
Author(s):  
K. L. Gould ◽  
T. Pan ◽  
C. Loghin ◽  
N. P. Johnson ◽  
S. Sdringola

Geomorphology ◽  
2016 ◽  
Vol 262 ◽  
pp. 8-23 ◽  
Author(s):  
Stefan Steger ◽  
Alexander Brenning ◽  
Rainer Bell ◽  
Helene Petschko ◽  
Thomas Glade

2021 ◽  
Vol 12 (10) ◽  
pp. 23-26
Author(s):  
M Mohankumar ◽  
G Sivakamasundari

Validation is a notable step in fulfilling and keep the character of the last decision. In the event that every progress of the creative process is recognized, we can guarantee that the end result will be of the best quality. Validation is specialized for planning and rehearsing a closely planned step with documents. Verification and quality assurance are inseparable, which guarantees careful quality of products. The process validation underscores the components of the measurement scheme and adheres to the measurement control during commercialization and realizes that it is nothing more than a continuous program and adjust the measurement validation exercises with the item life cycle. The motivation behind this survey is to introduce a presentation and general disclosure on quantitative validation of pharmaceutical production with a unique note to the requirements specified by the US Food and Drug Administration (FDA).


ACTA IMEKO ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 20
Author(s):  
Daniela Doroftei ◽  
Geert De Cubber

Now that the use of drones is becoming more common, the need to regulate the access to airspace for these systems is becoming more pressing. A necessary tool in order to do this is a means of detecting drones. Numerous parties have started the development of such drone detection systems. A big problem with these systems is that the evaluation of the performance of drone detection systems is a difficult operation that requires the careful consideration of all technical and non-technical aspects of the system under test. Indeed, weather conditions and small variations in the appearance of the targets can have a huge difference on the performance of the systems. In order to provide a fair evaluation, it is therefore paramount that a validation procedure that finds a compromise between the requirements of end users (who want tests to be performed in operational conditions) and platform developers (who want statistically relevant tests) is followed. Therefore, we propose in this article a qualitative and quantitative validation methodology for drone detection systems. The proposed validation methodology seeks to find this compromise between operationally relevant benchmarking (by providing qualitative benchmarking under varying environmental conditions) and statistically relevant evaluation (by providing quantitative score sheets under strictly described conditions).


2015 ◽  
Vol 26 (8) ◽  
pp. 2597-2610 ◽  
Author(s):  
Daniel Ferreira ◽  
◽  
Lena Cavallin ◽  
Tobias Granberg ◽  
Olof Lindberg ◽  
...  

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