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Model and Method of Ground-Based Centralized EOS Task Scheduling
Ground-based centralized satellite task scheduling is a well-studied problem in the field of satellite operations. This method assumes that a single... -
Two-Step Inversion Method for NMR Relaxometry Data Using Norm Smoothing and Artificial Fish Swarm Algorithm
The inversion of nuclear magnetic resonance (NMR) relaxometry data based on the first kind of Fredholm equation is an ill-posed problem. The accurate...
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Numerical treatment of reactive diffusion using the discontinuous Galerkin method
This work presents a new finite element variational formulation for the numerical treatment of diffusional phase transformations using the...
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A hybrid quantum-classical method for electron-phonon systems
Interactions between electrons and phonons play a crucial role in quantum materials. Yet, there is no universal method that would simultaneously...
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Research on modeling method of continuous spectrum water quality online detection based on random forest
It’s common to use the method of continuous spectroscopy in water quality testing. But there’re some problems with it. For example, the scanning...
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Optimization method of Hadamard coding plate in γ-ray computational ghost imaging
Owing to the constraints on the fabrication of γ-ray coding plates with many pixels, few studies have been carried out on γ-ray computational ghost...
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A New Method for Adhesion Strength Assessment of Indented Polymer Coatings
AbstractThe paper proposes a new method for adhesion strength assessment of polymer coatings which is based on Rockwell indentation with experimental...
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Mesh-free semi-quantitative variance underestimation elimination method in Monte Caro algorithm
The inter-cycle correlation of fission source distributions (FSDs) in the Monte Carlo power iteration process results in variance underestimation of...
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Determination of the Shape of a Helix Particle Based on Small-Angle X-ray Scattering Data: Modification of the “Simulated Annealing” Algorithm
AbstractThe modified “simulated annealing” algorithm implemented in the DAMMINV software allows one to obtain 10 to 15 different nanoparticle models...
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An adaptive graph embedding method for feature extraction of hyperspectral images based on approximate NMR model
This paper introduces an approximate nuclear norm based matrix regression projection (ANMRP) model, an adaptive graph embedding method, for feature...
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Calibration of DEM macro and micro parameters via XGBoost method
AbstractTo solve the complicated macro and micro parameter calibration problem in the discrete element method (DEM) simulation of rock mechanics,...
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The Dynamic Response Analysis Method of Steel Containment in Floating Nuclear Power Plant
During the operation of the floating nuclear power plant, if the floating nuclear power plant is anchored near the shore for power generation, it may... -
Optimization of Equalizer Spacing Period in Multispan Fiber-Optic Lines
AbstractWe study statistics of signal power spectrum ripple in a chain of erbium-doped fiber amplifiers (EDFAs). It is found that allowance for the...
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Generation of the Ground Detector Readings of the Telescope Array Experiment and the Search for Anomalies Using Neural Networks
AbstractWe report on the development of neural networks for generating readings from Telescope Array’s surface detectors with the largest registered...
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Modification of the SVD Unfolding Regularization Method
Unfolding is currently an important stage of processing experimental data, reducing the effect of errors and reconstructing approximately real...
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Design of High Linearity and Low Power Gradient Coil Based on Magnetic Field Harmonic Analysis Method
The design of a low-power gradient coil is of great importance for reducing the volume of low-field nuclear magnetic resonance (NMR) and improving...
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A non-invasive diagnostic method of cavity detuning based on a convolutional neural network
As modern accelerator technologies advance toward more compact sizes, conventional invasive diagnostic methods of cavity detuning introduce...
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Tutorial: a beginner’s guide to building a representative model of dynamical systems using the adjoint method
Building a representative model of a complex dynamical system from empirical evidence remains a highly challenging problem. Classically, these models...
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Application of relative total variation optical decomposition fusion method on medical images
In this paper, we describe a medical image fusion technique based on relative total variation decomposition (RTVD) that can concurrently maintain the...