نتایج جستجو برای: depth parameter

تعداد نتایج: 370932  

2014
Arun Kumar Parida Bharat Chandra Routara

Taguchi's design of experiment is utilized to optimize the process parameters in turning operation with dry environment. Three parameters, cutting speed (v), feed (f), and depth of cut (d), with three different levels are taken for the responses like material removal rate (MRR) and surface roughness (R a ). The machining is conducted with Taguchi L9 orthogonal array, and based on the S/N analys...

2011
Vipin Kumar Sharma

This paper outlines the fractional factorial approach of D.O.E. techniques (Taguchi & Response Surface Methodology) are applied to optimize turning process parameter in order to obtain better surface finish. The turning parameters evaluated are cutting speed, feed, and depth of cut. An orthogonal array, signal-to-noise (S/N) ratio, and Pareto analysis of variance (ANOVA) are employed to analyze...

2009
Julian Ivanov Richard D. Miller

We use multi-channel analysis of surface waves (MASW) on seismic data to assess the practical impact of the assumed compressional-velocity and density parameters on the inverted shear-wave velocity results. The practical secondary-parameter impact evaluation was performed on data acquired in the arctic. The ice-sheet compressional-, shear-wave velocity and density variations with depth were ava...

2017
Xuanxuan Zhang Yuzhu Gong Yang Li Xu Cao Shouping Zhu

Fluorescence planar imaging (FPI) is failure to capture high resolution images of deep fluorochromes due to photon diffusion. This paper presents an image restoration method to deal with this kind of blurring. The scheme of this method is conceived based on a reconstruction method in fluorescence molecular tomography (FMT) with diffusion model. A new unknown parameter is defined through introdu...

In this study, thin layers of titanium nitride (TiN) were deposited on H13 steel substrates at different duty cycles and temperature of 520 ˚C using plasma assisted chemical vapor deposition (PACVD). Uniaxial residual stress was calculated by X-ray diffraction (XRD) and Sin2 Ψ method. Then the residual stress of the samples were measured by Grazing Incidence X-ray Diffraction (GIXRD) method and...

Journal: :Atmosphere 2023

This paper aims to present simple regressive equations estimate the parameters of three-parameter depth–duration–frequency (DDF) curve (3p-DDF), which accurately expresses, for a preassigned return period, relationship between rainfall depth and duration over large ranges, from below 1 h (i.e., tens minutes) above (up 24 h). These are developed relate their those two-parameter DDF (2p-DDF), can...

2009
J. P. Lestrade J. W. Chamberlain

The effective level of line formation for spectroscopic absorption lines has long been regarded as a useful parameter for determining average atmospheric values of the quantities involved in line formation. The identity of this parameter has recently been disputed. Here we re-establish the dependence of this parameter on the average depth where photons are absorbed in a semi-infinite atmosphere...

2016
Kohei Arai

Sensitivity analysis of aerosol parameter (refractive index which consists of real and imaginary parts, size distribution which is represented by Junge parameter) estimations with measured solar direct and diffuse irradiance is made. Through experiments with the measured solar direct and diffuse irradiance, it is found that the results from the sensitivity analysis is valid and adequate. Keywor...

1999
A. N. Rajagopalan Subhasis Chaudhuri

We propose a method for simultaneous recovery of depth and restoration of scene intensity, given two defocused images of a scene. The space-variant blur parameter and the focused image of the scene are modeled as Markov random.fields (MRFs). Line fields are included to preserve discontinuities. The joint posterior distribution of the blur parameter and the intensity process is examined for loca...

2017
Weifeng Chen Donglai Xiang Jia Deng

Here we provide additional details on the choice of parameters used in our experiments. For all NYU images, we use the one ground truth focal length shared by all images. For all SNOW images, we assume the same focal length as NYU. Focal length is not needed to predict depth at test time. In training, for SNOW images focal length is often available in EXIF, which could be used to further improv...

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