Results 151 to 160 of about 527,157 (233)

Exact, time‐dependent analytical equations for spiral trajectories and matching gradient and density‐correction waveforms

Magnetic Resonance in Medicine, EarlyView.
Abstract Purpose To analytically define a spiral waveform and trajectory that match the constraints of gradient frequency, slew rate, and amplitude. Theory and Methods Piecewise analytical solutions for gradient waveforms under the desired constraints are derived using the circle of an involute rather than an Archimedean spiral.
Guruprasad Krishnamoorthy, James G. Pipe
wiley   +1 more source

Symmetries in algebra and number theory (SANT)

, 2009
Ina Kersten, Ralf Meyer
openalex   +1 more source

Launch Uncertainty Analysis Under Barrel Erosion Using Experiments and Random Matrix Theory

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The effects of barrel erosion on artillery firing performance have long been a subject of concern, but its effect on launch uncertainty has yet to be investigated. This article explores the influence of barrel erosion on the interior ballistic mechanical properties and launch disturbances.
Chengyuan Guo, Guolai Yang, Liqun Wang, Jianli Ge, Qingle Wu, Hao Guo   +5 more
wiley   +1 more source

Corrigendum to “On the Fourier coefficients of Hilbert–Maass wave forms of half integral weight over arbitrary algebraic number fields” [J. Number Theory 107 (1) (2004) 25–62]

, 2010
Hisashi Kojima
openalex   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

A Probabilistic Cut Finite Element Method With Random Field Generator and Bayesian Model Calibration for Flow Through Rough Cracks

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT A new model for the simulation of fluid flow through rough cracks is presented. The model combines a probabilistic cut finite element method (PCutFEM) to capture the unfitted boundary condition at the fluid interface, with a stochastic random field generator to represent the crack asperities.
Brubeck Lee Freeman, Evan John Ricketts, Diane Gardner, Anthony Jefferson, Peter John Cleall, Pierre Kerfriden   +5 more
wiley   +1 more source

Internal and External Sources of Nonprofit Innovativeness: A Configurational Approach

Nonprofit Management and Leadership, EarlyView.
ABSTRACT Using a configurational approach, this research explores how the complex interrelationships among four organizational factors—board size, board involvement, centralization, and government funding—influence organizational innovation. Based on survey and archival data from 44 U.S.
Jiawei Sophia Fu, Rong Wang, Katherine Scrivani   +2 more
wiley   +1 more source

Algebraic Combinatorics on Trace Monoids: Extending Number Theory to Walks on Graphs

, 2017
Pierre-Louis Giscard, Paul Rochet
openalex   +2 more sources

Optimal Adaptive Reinforcement Learning Control for a Convection‐Reaction Distributed Parameter System

Optimal Control Applications and Methods, EarlyView.
Optimal adaptive reinforcement learning control using an actor‐critic architecture. The controller learns optimal control policies online from data measured along the trajectories of a plug flow system ABSTRACT This article is devoted to optimal adaptive control for a distributed parameter convection‐reaction system by reinforcement learning (RL ...
Abdellaziz Binid, Ilyasse Aksikas
wiley   +1 more source

A Critical Review of Pole Clustering Techniques: Common Pitfalls, Extension to MIMO and New Enhanced Variant of the Cuckoo Search Algorithm

Optimal Control Applications and Methods, EarlyView.
Enhanced Cuckoo Search for Model Order Reduction ABSTRACT This article presents a critical review of classical and modern pole clustering techniques for model order reduction in high‐order systems. It highlights key limitations and common pitfalls encountered in traditional approaches, especially when extended to Multi‐Input Multi‐Output (MIMO) systems.
Kamel Ben Slimane, Zied Tmar, Mongi Besbes   +2 more
wiley   +1 more source