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Acoustic Seabed Classification using Fractional Fourier Transform and Time-Frequency Transform Techniques
2006
OCEANS 2006
Preserved Fulltext
, for data set 7 (two dimensional case)
using deconvolution method
Discriminant
Wigner
Choi-Williams
Function
True sand True mud True sand True mud
Linear
Predicted sand
27
1
27
1
Predicted ...
for the classes mud and sand, for data set 7 (two dimensional case)
using FrFT method
Discriminant
Wigner
Choi-Williams
Function
True sand True mud True sand True mud
Linear
Predicted sand
23 ...
doi:10.1109/oceans.2006.306889
fatcat:oe3mvz66erffpppeyhov6adtni
Fractional statistics in anyon collisions
2020
Science
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2020 pre-print arXiv:2006.13157v1 fatcat:xpc4q4udwvgrxile5m67yo3n6i
Two-dimensional systems can host exotic particles called anyons whose quantum statistics are neither bosonic nor fermionic. ...
For example, the elementary excitations of the fractional quantum Hall effect at filling factor ν = 1/m (where m is an odd integer) have been predicted to obey Abelian fractional statistics, with a phase ...
The fractional quantum Hall effect 4, 5 , obtained by applying a strong magnetic field perpendicular to a two-dimensional electron gas, is one of the physical systems predicted to host anyons. ...
doi:10.1126/science.aaz5601
pmid:32273465
fatcat:5fhggvsunzcilmea5mvbs2qbfa
Polarization of Radio Molecular Lines and Mapping of Magnetic Field Direction
1984
International Astronomical Union Colloquium
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Higher transitions commonly have strengths comparable with that of the J=1-0 transition so that depolarization due to coupling between the various J-states might be expected to reduce the predicted linear ...
AbstractTwo level calculations by others for the linear polarizations expected for molecular emission lines from interstellar clouds are extended by considering a number of coupled rotational states of ...
For the two dimensional geometry, ~2 "2 does not exceed about 0.25 K for CO and CS molecules. ...
doi:10.1017/s0252921100098365
fatcat:7hhftwg2rbcuvn6tkhkkhhpmca
Cluster algorithm for nonadditive hard-core mixtures
2005
Journal of Chemical Physics
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2004 accepted arXiv:cond-mat/0409418v2 fatcat:zozmlr5ffjfm5cevr5gofoevoyOther Versions
Phys. 52, 1670 (1970)) in two and three dimensions. The critical densities are determined from finite size scaling. ...
This algorithm allows one to simulate and equilibrate systems with a number of particles two orders of magnitude larger than previous simulations. ...
Two and three dimensional systems have been considered. ...
doi:10.1063/1.1831274
pmid:15638570
fatcat:fbu4ibjuubbunptfsg4nzvmhve
Cell dynamics simulation of Kolmogorov–Johnson–Mehl–Avrami kinetics of phase transformation: One and two-dimensional cases
2007
Materials Science & Engineering: A
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We find that the cell dynamics method reproduces the time evolution of the volume fraction of the transformed phase predicted by the KJMA theory. ...
Specifically, the cell dynamics simulation reproduces a double-logarithmic linear KJMA plot and confirms the integral Avrami exponents n predicted from the KJMA theory. ...
We found a nearly linear behavior of the KJMA plot with the Avrami exponent close to the KJMA predicted value. ...
doi:10.1016/j.msea.2006.02.331
fatcat:ncdubeom4rfibns4zams2l3qwe
Couette flows of a granular monolayer—an experimental study
1998
Journal of Non-Newtonian Fluid Mechanics
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An experimental study concerning rapid flows of granular materials in a two dimensional planar granular Couette flow apparatus is performed. ...
The resulting mean velocity profiles have a roughly linear variation for the range of solid volume fractions and shear rates studied. ...
The linear concentration can be evaluated for two and three dimensional configurations as The actual mean two-dimensional surface fractions as defined by equation ( 8 ) used in the experiment were IS ...
doi:10.1016/s0377-0257(97)00077-3
fatcat:ydihcwdvyrcjln4fcd4jitbona
A Linear Prediction Based Fractional-Pixel Motion Estimation Algorithm
2010
2010 4th International Conference on Multimedia and Ubiquitous Engineering
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To tackle these problems, a center-biased fast fractional-pixel ME algorithm using linear prediction based search with intrinsic center-biased characteristic is developed in this paper. ...
Fast fractional-pixel ME algorithms were therefore developed, in which initial search point is first predicted before applying fast refinement search. ...
One-dimensional or two-dimensional quadratic functions are employed in [12] and [13] respectively to predict the initial search point. ...
doi:10.1109/mue.2010.5575049
dblp:conf/mue/NgPLWW10
fatcat:lkbons762rcbjdtzjwba27rnwi
2010 Mathematics Subject Classification index
2020
Modern Stochastics: Theory and Applications
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Rohde, On infinite divisibility of a class of two-dimensional vectors in the second Wiener chaos, 267 62H12 A. Kukush, I. Senko, Prediction in polynomial errors-in-variables models, 203 62J02 A. ...
Rohde, On infinite divisibility of a class
of two-dimensional vectors in the second Wiener chaos, 267
60F10 B. ...
doi:10.15559/20-vmsta74mi
fatcat:hj6itpei7vbh5p36hbluh5re7m
Assembly dimensional variation modelling and optimization for the resin transfer moulding process
2004
Modelling and Simulation in Materials Science and Engineering
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This paper presents an innovative study on the dimensional variation prediction and control for polymer matrix fiber reinforced composites. ...
The STM enables rapid dimensional variation analysis/synthesis for complex composite assemblies with the regression-based dimensional variation model. ...
[18] presented an engineering approach to predict process-induced deformations of three-dimensional composite shell structures, using a two-dimensional special purpose finite element process code COMPRO ...
doi:10.1088/0965-0393/12/3/s11
fatcat:wemc64nuzff37cdaux6tbvtm5a
Comprehensive two-dimensional liquid chromatography of heavy oil
2018
Journal of Chromatography A
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The use of comprehensive two-dimensional liquid chromatography (LC × LC) was investigated for the characterization of de-asphalted short residue, also called maltenes. ...
The Program for the Interpretive Optimization of Two-dimensional Resolution (PIOTR) has been applied to aid the method development, but due to the absence of specific peaks in the chromatograms it was ...
gas chromatography (HT-GC × GC) [13, 14] and comprehensive two-dimensional supercritical-fluid chromatography (SFC × SFC) [15, 16] . ...
doi:10.1016/j.chroma.2018.06.001
pmid:29914660
fatcat:vvkebq4sdbcqbogzoc664ry7ky
Instability of a dusty Kolmogorov flow
[article]
2021
arXiv
pre-print
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is non-monotonic in the particle mass fraction and particles can both stabilize and destabilize the flow. ...
Numerical analysis is used to validate the analytical predictions. ...
In the following we will therefore consider the two-dimensional version of the linearized equation. ...
arXiv:2107.05519v2
fatcat:sgtqqa3zwvchxljeiqyqdcsyoy
A Machine Learning Approach For Simulating Ground Penetrating Radar
2018
2018 17th International Conference on Ground Penetrating Radar (GPR)
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Based on these parameters and the synthetically generated training set, a machine learning framework is trained to predict the resulting A-Scan in real-time. ...
Through a stochastic parameterisation, each model is expressed using only seven parameters (i.e. the fractal dimension of water fraction, the heigh of the antenna and so on). ...
The first two layers use sigmoid activation functions while the last layer uses a linear one in order to predict the continuous nature of the compressed A-Scan. ...
doi:10.1109/icgpr.2018.8441558
fatcat:h5ngdobbn5bcjpv7ynp4qj6jma
Predicting oropharyngeal tumor volume throughout the course of radiation therapy from pretreatment computed tomography data using general linear models
2014
Medical Physics (Lancaster)
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Results: In predicting the daily volume of primary tumors, the general linear model and the functional general linear model were more accurate than the static reference model by 9.9% (range: −11.6%-23.8% ...
Conclusions: A general linear model and a functional general linear model trained on data from a small population of patients can predict the primary tumor volume throughout the course of radiation therapy ...
Static and linear −1.8% reference models Two reference models were generated and compared with the linear Median model, the GLM, and the functional GLM. ...
doi:10.1118/1.4870437
pmid:24784371
pmcid:PMC5148034
fatcat:a32acctis5d7xbmc3fn6swclbq
Page 290 of Mathematical Reviews Vol. , Issue 80A
[page]
1980
Mathematical Reviews
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Statist. 36 (1965), 1097-1106; Zbl 133, 424] has shown that the
above two-dimensional regression is a minimax design if each of
the one-dimensional regressions E[z(x,)]= 201 Ca8iq(%1) and
E[z(x2)] = D% ...
The author extends
the above two-dimensional design to higher dimensions and, using
the equivalence theorem [V. V. Fedorov, Theory of optimal experi-
ee ee ee ee ll le lhe ...
Influence of Two-Phase Crossflow for Void Prediction in Bundles Using Thermal-Hydraulic System Codes
2020
Energies
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The results indicate that there is no significant difference in the predictability of the void fraction between one- and multi-dimensional components. ...
A further assessment has been performed using two thermal-hydraulic system codes, TRACE V5.0 patch 5 and MARS-KS 1.4, and the assessment has been carried out for both one- and multi-dimensional components ...
The results clearly showed that TRACE predicted high void fractions compared to MARS-KS in both one-and multi-dimensional cases. ...
doi:10.3390/en13143686
fatcat:liujnquy5bbqhic7bew47skeua
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