Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Simona Salicone"'
Autor:
Simona Salicone
Publikováno v:
Metrology, Vol 2, Iss 4, Pp 495-498 (2022)
Metrology is the science of measurements [...]
Externí odkaz:
https://doaj.org/article/e652ba4d59ef498cb2f6107887d37a40
Autor:
Simona Salicone, Harsha Vardhana Jetti
Publikováno v:
Metrology. 1:76-92
The concept of measurement uncertainty was introduced in the 1990s by the “Guide to the expression of uncertainty in measurement”, known as GUM. The word uncertainty has a lexical meaning and reflects the lack of exact knowledge or lack of comple
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-11
The Kalman filter (KF) is a commonly used algorithm for predicting the state variables of a system. It is based on the model of the system and some measurements (observed over time) that are characterized by their own uncertainty. This article define
Publikováno v:
ACTA IMEKO. 11:1
Human movement modeling - also referred to as motion-capture - is a rapidly expanding field of interest for medical rehabilitation, sports training, and entertainment. Motion capture devices are used to provide a virtual 3-dimensional reconstruction
Numerous papers in the literature recommend the use of Bayes’ theorem to merge the available a priori knowledge about a measurand with the measurement result associated to the measurand itself. The obtained a posteriori value should be used in conf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace51438f1a83372c8d4a20ee3f5cba3
http://hdl.handle.net/11311/1191834
http://hdl.handle.net/11311/1191834
Autor:
Simona Salicone, Harsha Vardhana Jetti
Publikováno v:
Metrology
Volume 1
Issue 1
Pages 3-51
Volume 1
Issue 1
Pages 3-51
A Kalman filter is a concept that has been in existence for decades now and it is widely used in numerous areas. It provides a prediction of the system states as well as the uncertainty associated to it. The original Kalman filter can not propagate u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a31b58a2149be1a417063fd8b2e99e
http://hdl.handle.net/11311/1191835
http://hdl.handle.net/11311/1191835
In this paper, a data-driven prognostic model capable to deal with different sources of uncertainty is proposed. The main novelty factor is the application of a mathematical framework, namely a Random Fuzzy Variable (RFV) approach, for the representa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::333a51fadae83e51a2fe60f7adeb753a
http://hdl.handle.net/11311/1158086
http://hdl.handle.net/11311/1158086
Autor:
Harsha Vardana Jetti, Simona Salicone
Synchronization is one of the key aspects and a requirement for modern day technologies. It’s a requirement for almost every sector including power, health, retail, navigation, banking. Synchronization is also important when using distributed acqui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::668e8d0dc6646325de670eaa03cb807b
http://hdl.handle.net/11311/1167347
http://hdl.handle.net/11311/1167347
Autor:
Simona Salicone
Publikováno v:
IEEE Instrumentation & Measurement Magazine. 21:58-63
This work is an overview of what has been realized thanks to the grant awarded by the IEEE Instrumentation and Measurement Society, the 2016 Faculty Course Development Award. As a recipient of this award, I could deeply revise the content of the cour
Autor:
Simona Salicone, Alessandro Ferrero
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 67:607-620
When dealing with measurement uncertainty, a metrologist is required to take into consideration many different points. The most important ones are: the uncertainty contributions affecting the measurement process; the random or systematic nature of th