A new field correction method for PIV measurements based on mutual information: Case study on a stirred tank flow

Measurement ◽  
2021 ◽  
Vol 186 ◽  
pp. 110130
Author(s):  
Aliandra Duarte Barbutti ◽  
Rodrigo de Lima Amaral ◽  
Helder Lima de Moura ◽  
Francisco de Assis Oliveira Júnior ◽  
José Roberto Nunhez ◽  
...  
Keyword(s):  
Mutual Information ◽  
Correction Method ◽  
Stirred Tank ◽  
Piv Measurements

Note sulla costruzione di artefatti: il concetto di cosa nel design

2009 ◽  
pp. 171-197
Author(s):  
Cristiano Storni
Keyword(s):  
Mutual Information ◽  
Social Science ◽  
Design Process ◽  
Detailed Account ◽  
Everyday Objects ◽  
Design Object ◽  
Actual Shape ◽  
Artifact Design ◽  
Agency And Structure

- The paper is aimed to explore the domain of design and its organization by providing a detailed account of the birth of a new piece of jewellery based on extensive ethnography of its design and production. Taken the term artifact to mark the conclusion of the design process, the author develops the concept of thing in order to account for what is behind the actual shape of everyday objects and how and why they have acquired it. The concept of Thing is introduced as a twofold term that both refers to the gathering of elements that are drawn together in order to design something new and to the problematic question that draws those entities together. Through the case study and the mapping of the complex trajectory of the design object at focus, it is shown how the Thing as gathering and the Thing as the central issues in-process-of-definition mutually inform one another therefore questioning many of the traditional dichotomies in social science such as object and subject, social and technical or agency and structure. In this mutual information, the process is described as moving in between two opposite analytic poles through a series of logics (Thing-ing and Objectify-ing logics) that are briefly discussed and illustrated through the introduction of a conclusive metaphor.Keywords: Artifact, design practices, thing, mutual information. 202

scholarly journals Bias correction capabilities of quantile mapping methods for rainfall and temperature variables

2020 ◽  
Author(s):  
Maedeh Enayati ◽  
Omid Bozorg-Haddad ◽  
Javad Bazrafshan ◽  
Somayeh Hejabi ◽  
Xuefeng Chu
Keyword(s):  
River Basin ◽  
Bias Correction ◽  
Correction Method ◽  
Quantile Mapping ◽  
Topographic Features ◽  
Temperature Variable ◽  
Transformation Functions ◽  
Karkheh River Basin ◽  
The Karkheh River

Abstract This study aims to conduct a thorough investigation to compare the abilities of QM techniques as a bias correction method for the raw outputs from GCM/RCM combinations. The Karkheh River basin in Iran was selected as a case study, due to its diverse topographic features, to test the performances of the bias correction methods under different conditions. The outputs of two GCM/RCM combinations (ICHEC and NOAA-ESM) were acquired from the CORDEX dataset for this study. The results indicated that the performances of the QMs varied, depending on the transformation functions, parameter sets, and topographic conditions. In some cases, the QMs' adjustments even made the GCM/RCM combinations' raw outputs worse. The result of this study suggested that apart from DIST, PTF:scale, and SSPLIN, the rest of the considered QM methods can provide relatively improved results for both rainfall and temperature variables. It should be noted that, according to the results obtained from the diverse topographic conditions of the sub-basins, the empirical quantiles (QUANT) and robust empirical quantiles (RQUANT) methods proved to be excellent options to correct the bias of rainfall data, while all bias correction methods, with the notable exceptions of performed PTF:scale and SSPLIN, performed relatively well for the temperature variable.

scholarly journals Transfer entropy and cumulant based cost as measures of nonlinear causal relationships in space plasmas: applications to <i>D<sub><i>st</i></i>

2018 ◽  
Author(s):  
Jay R. Johnson ◽  
Simon Wing ◽  
Enrico Camporeale
Keyword(s):  
Solar Wind ◽  
Mutual Information ◽  
Strong Correlation ◽  
Information Transfer ◽  
Ring Current ◽  
Space Physics ◽  
Transfer Entropy ◽  
Linear Relationships ◽  
Transfer Of Information

Abstract. It is well known that the magnetospheric response to the solar wind is nonlinear. Information theoretical tools such as mutual information, transfer entropy, and cumulant based analysis are able to characterize the nonlinearities in the system. Using cumulant based cost, we show that nonlinear significance of Dst peaks at 3–12 hours lags that can be attributed to VBs which also exhibit similar behavior. However, the nonlinear significance that peaks at lags 25, 50, and 90 hours can be attributed to internal dynamics, which may be related to the relaxation of the ring current. These peaks are absent in the linear and nonlinear self-significance of VBs. Our analysis with mutual information and transfer entropy show that both methods can establish that there are a strong correlation and transfer of information from Vsw to Dst at a time scale that is consistent with that obtained from the cumulant based analysis. However, mutual information also shows that there is a strong correlation in the backward direction, from Dst to Vsw, which is counterintuitive. In contrast, transfer entropy shows that there is no or little transfer of information from Dst to Vsw, as expected because it is the solar wind that drives the magnetosphere, not the other way around. Our case study demonstrates that these information theoretical tools are quite useful for space physics studies because these tools can uncover nonlinear dynamics that cannot be seen with the traditional analyses and models that assume linear relationships.

A correction method based on geometric factor for resistivity log response of thinly laminated sand reservoirs: A case of study

2020 ◽  
pp. 1-31
Author(s):  
Shuyong Hu ◽  
Wenhai Huang ◽  
Hengshen Yao ◽  
kegang ling
Keyword(s):  
Water Saturation ◽  
Correction Method ◽  
Geometric Factor ◽  
Thin Layers ◽  
Induction Logging ◽  
Fluid Properties ◽  
Working Principle ◽  
Resistivity Log ◽  
Rock Lithology

Log response of thin oil layers is greatly subject to the environmental factors such as shoulder beds, resulting in error high enough to influence appraisal of rock lithology and fluid properties, and increasing the difficulty of interpretation of logging curves and the effective evaluation of thinly laminated sand. The development of high-resolution logging instruments and logging curve processing technology improves the resolution and accuracy of logs, but with some limitations. So far, geometric factor theory is an effective approximate approach for induction logging correction. Based on working principle of induction/resistivity log and previous studies, we develop a new model to correct resistivity log response of thin layers by taking advantage of geometric factor. This method can improve the accuracy of resistivity log for calculation of porosity and water saturation. The case study shows that more reliable resistivity can be acquired to better characterize thin layers.

Band-Filling Correction Method for Accurate Adsorption Energy Calculations: A Cu/ZnO Case Study

2013 ◽  
Vol 9 (11) ◽  
pp. 4673-4678 ◽  
Author(s):  
Matti Hellström ◽  
Daniel Spångberg ◽  
Kersti Hermansson ◽  
Peter Broqvist
Keyword(s):  
Adsorption Energy ◽  
Correction Method ◽  
Energy Calculations ◽  
Band Filling
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