Results 51 to 60 of about 45,742 (207)

Investigation on hard‐rock breaking performance and auxiliary mechanism of picks assisted with both‐sided high‐pressure water jets

Deep Underground Science and Engineering, EarlyView.
This paper investigates the high‐pressure water jet‐pick combined rock‐breaking mode (HPC), which employs high‐pressure water jets to precut grooves on both sides of the picks. The rock‐breaking patterns and performance of the HPC method are obtained, and the auxiliary rock‐breaking mechanism of water jet grooving is revealed.
Jingjing Lu, Jiancheng Xiao, Hui Zhou, Xiao Ma, Congcong Hou, Jian Cui, Fujian Yang   +6 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Next Generation 7 Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To achieve high resolution (≤ 1 mm isotropic) whole‐brain perfusion imaging at 7 T with next generation ASL pulse sequence, reconstruction algorithm, and MRI hardware. Methods We capitalized on three major innovations: (1) FLASH‐based pseudo‐Continuous ASL (pCASL) sequence with rotated golden‐angle stack‐of‐spirals (rGA‐SoS) sampling; (
Chenyang Zhao, Fanhua Guo, Zidong Yang, Xingfeng Shao, Samantha J. Ma, Alexander J. S. Beckett, An T. Vu, David A. Feinberg, Danny J. J. Wang   +8 more
wiley   +1 more source

Saddle Points of Partial Augmented Lagrangian Functions

Mathematical and Computational Applications
In this paper, we study a class of optimization problems with separable constraint structures, characterized by a combination of convex and nonconvex constraints.
Longfei Huang, Jingyong Tang, Yutian Wang, Jinchuan Zhou   +3 more
doaj   +1 more source

Combining Deep Image Prior and Second-Order Generalized Total Variance for Image Denoising

IEEE Access, 2023
Deep image prior is a classical unsupervised deep learning method that does not require plenty of training samples, because in some practical applications, like medical imaging, collecting tons of training samples is not always viable.
Jianlou Xu, Shaopei You, Yuying Guo, Yajing Fan   +3 more
doaj   +1 more source

Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for Sparsity Regularized Estimation [PDF]

, 2011
We analyze the convergence behaviour of a recently proposed algorithm for regularized estimation called Dual Augmented Lagrangian (DAL). Our analysis is based on a new interpretation of DAL as a proximal minimization algorithm.
Masashi Sugiyama, Masashi Sugiyama, Ryota Tomioka, Ryota Tomioka, See Profile, See Profile, Taiji Suzuki, Tong Zhang   +7 more
core   +1 more source

Weak imposition of Signorini boundary conditions on the boundary element method [PDF]

, 2020
We derive and analyse a boundary element formulation for boundary conditions involving inequalities. In particular, we focus on Signorini contact conditions.
Burman, Erik, Frei, Stefan, Scroggs, Matthew W.   +2 more
core   +1 more source

Distributed augmented Lagrangian algorithms: Convergence rate [PDF]

2013 IEEE Global Conference on Signal and Information Processing, 2013
This paper presents explicit convergence rates for a class of deterministic distributed augmented Lagrangian methods. The expressions for the convergence rates show the dependence on the underlying network parameters. Simulations illustrate the analytical results.
Dusan Jakovetic, Jose M. F. Moura, Joao Xavier   +2 more
openaire   +1 more source

Effect of Variations in the Ring Thickness on the Dynamic Performance of the Bimetal Gears

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study used a six‐degrees‐of‐freedom dynamic model to analyze the dynamic response of bimetal spur gears. Aluminum alloy forms the core of the bimetal gears, and a uniform‐thickness steel ring surrounds the teeth. Gear mesh stiffness of bimetal gears and the transmission error have been assessed using a numerical approach based on finite ...
Bikramjit Singh, Pawan Kumar, S. P. Harsha   +2 more
wiley   +1 more source

A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation

, 2015
A parallel-in-time algorithm based on an augmented Lagrangian approach is proposed to solve four-dimensional variational (4D-Var) data assimilation problems.
Rao, Vishwas, Sandu, Adrian
core   +1 more source