TY  - INPR
A1  - Sheikh Khozani, Zohreh
A1  - Kumbhakar, Manotosh
T1  - Discussion of “Estimation of one-dimensional velocity distribution by measuring velocity at two points” by Yeganeh and Heidari (2020)
N2  - The concept of information entropy together with the principle of maximum entropy to open channel flow is essentially based on some physical consideration of the problem under consideration. This paper is a discussion on Yeganeh and Heidari (2020)’s paper, who proposed a new approach for measuring vertical distribution of streamwise velocity in open channels. The discussers argue that their approach is conceptually incorrect and thus leads to a physically unrealistic situation. In addition, the discussers found some wrong mathematical expressions (which are assumed to be typos) written in the paper, and also point out that the authors did not cite some of the original papers on the topic.
KW  - Geschwindigkeit
KW  - Entropie
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20210216-43663
N1  - This is the pre-peer reviewed version of the following article: https://www.sciencedirect.com/science/article/pii/S0955598621000017 ; https://doi.org/10.1016/j.flowmeasinst.2021.101886
ER  - 
TY  - CHAP
A1  - Robert-Nicoud, Yvan
A1  - Raphael, Benny
A1  - Smith, Ian F. C.
T1  - Using entropy to maximize the usefulness of data collection
N2  - This paper presents a generic methodology for measurement system configuration when the goal is to identify behaviour models that reasonably explain observations. For such tasks, the best measurement system provides maximum separation between candidate models. In this work, the degree of separation between models is measured using Shannon’s Entropy Function. The location and type of measurement devices are chosen such that the entropy of candidate models is greatest. This methodology is tested on a laboratory structure and, to demonstrate generality, an existing fresh water supply network in a city in Switzerland. In both cases, the methodology suggests an appropriate set of sensors for identifying the state of the system.
KW  - Mobile Computing
KW  - Funknetz
KW  - Entropie
Y1  - 2004
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20111215-1177
ER  -