A Comparative Study of LOWESS and RBF Approximations for Visualization

Smolik, Michal; Skala, Václav; Nedved, Ondrej

doi:10.1007/978-3-319-42108-7_31

Cited by 10 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This combustion oscillation mode is accompanied by alternate local extinction and reignition phenomena. With a further increase in the injection pressure drop, an obvious flame blowout Locally weighted scatterplot smoothing (LW smoothing) is a useful method for smoothing experiment data [41]. The normalized light intensity with LW smoothing is depicted in Figure 12b.…”

Section: Discussionmentioning

confidence: 99%

“…There was a sudden drop before the light intensity stabilizes again, mainly due to a slight decrease in the injection pressure before it became stable. Locally weighted scatterplot smoothing (LW smoothing) is a useful method for smoothing experiment data [41]. The normalized light intensity with LW smoothing is depicted in Figure 12b.…”

Section: Transition Process Of the Stable Combustion Modementioning

confidence: 99%

See 1 more Smart Citation

Combustion Modes and Unsteady Characteristics during the Condition Transition of a Scramjet Combustor

et al. 2021

View full text Add to dashboard Cite

To investigate the combustion modes and unsteady characteristics during the condition transition of a scramjet combustor, a series of experiments were carried out under the condition of Mach 2.52 supersonic incoming flow, the corresponding stagnation pressure and temperature of which were 1.6 MPa and 1486 K, respectively. A fuel supply system that could dynamically adjust the injection pressure was adopted to simulate the condition transition stage of a scramjet. Based on the advanced combustion diagnosis technique, the transient chemiluminescence image and the wall pressure were recorded during the whole combustion process. Three typical modes of turbulent combustion occurred when the injection pressure drop gradually increased. The jet flame was stable after the condition transition when the injection pressure drop was relatively low. An unstable combustion phenomenon accompanied by intermittent local extinction and reignition could be found near the blowout limits. With a further increase in the injection pressure drop, the flame was blown out quickly during the transition process. In addition, the flame development characteristics during condition transition under stable combustion mode and the effect of injection pressure drop were studied in detail. During the process of switching between the two conditions, the area and light intensity of the flame decreased over time, and the wall pressure was accordingly reduced. As the increase in injection pressure dropped, the intensity of chemical reactions deceased obviously and the transition time became longer.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Transition Process Of the Stable Combustion Modementioning

confidence: 99%

Combustion Modes and Unsteady Characteristics during the Condition Transition of a Scramjet Combustor

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The second method, namely the LOWESS, is often used in statistical applications and for noisy data [182]; it is a non-parametric regression, well suited when the signal or the noise taken into account presents a strong non-linear trend. In these situations the linear regression is not recommended.…”

Section: Matlab Software Acquisition Systemmentioning

confidence: 99%

Nanoparticle formation in nanoporous structures and applications

et al. 2020

View full text Add to dashboard Cite

Firmato digitalme nte da VANELLA ANDREA C=IT I wish to thank Prof. Emilio Mariotti for his help and support during my work days. I would like to thank also Prof.ssa Carmela Marinelli for her valuable advices.Special thanks go to the researchers of the PhysNano laboratory at the Saint Petersburg National Research University of Information technologies, Mechanics and Optics (ITMO) for the preparation of the alumina samples analyzed in this work.I also want to thank Leonardo Stiaccini for the constant and precious technical help and assistance.Finally, I have to thank Nicole for always being there.vii

show abstract

“…The staged repair and smoothing strategy are realized on the basis of the LOWESS. The LOWESS can not only repair measurement data containing measurement error and surface defects but also be used in measured data smoothing [29][30]. The staged repair and smoothing strategy realize the measured data repair and smoothing of the profile curve on the basis of the repair and smoothing of local data segments.…”

Section: Measurement Data Repair and Smoothingmentioning

confidence: 99%

Smoothing and Reconstruction Strategy for Part Repair Using a Laser Displacement Sensor

Shen¹,

Yang²,

Chen³

et al. 2018

JESTR

View full text Add to dashboard Cite

The reconstruction of the profile curve of damaged parts in the absence of an original technical drawing is an important process of part repair. Part damages are complicated and changeable. To reduce the material removal rate during repair and maintain a smooth and flawless profile curve after being repaired, a smoothing and reconstruction strategy using a laser displacement sensor to measure the profile curve was proposed in this study. This strategy established an adaptive measurement mechanism by building an automatic measurement motion platform. A staged repair and smoothing strategy of the profile curve measurement data was constructed on the basis of the locally weighted scatterplot smooth. A calculation model of a part repair processing curve was built by using the Akima interpolation. Moreover, a case study was conducted to verify the reconstruction accuracy of the strategy and smoothness of the reconstruction curve. Results demonstrate that the automatic measurement motion platform and adaptive measurement mechanism can realize an adaptive measurement of different profile structural shapes. The staged repair and smoothing strategy can repair the measurement error of profile curve measurement data, profile defects, and other abnormal data while maintaining the smoothness of the profile curve. After repair, the variation range in the measurement data error at different points of the profile curve decrease from (−1.4913, +0.0351) to (−0.3511, +0.3715). Akima interpolation can not only increase the maximum error of the processing curve but also decrease the material removal rate effectively and protect the smoothness of the profile curve. This study provides important guidance to increase the part repair efficiency and accuracy and realize the automatization of part repair.

show abstract

A Comparative Study of LOWESS and RBF Approximations for Visualization

Cited by 10 publications

References 14 publications

Combustion Modes and Unsteady Characteristics during the Condition Transition of a Scramjet Combustor

Combustion Modes and Unsteady Characteristics during the Condition Transition of a Scramjet Combustor

Nanoparticle formation in nanoporous structures and applications

Smoothing and Reconstruction Strategy for Part Repair Using a Laser Displacement Sensor

Contact Info

Product

Resources

About