Results 131 to 140 of about 2,297 (264)
Abstract Background Non‐invasive imaging‐based assessment of blood flow plays a critical role in evaluating heart function and structure. Computed Tomography (CT) is a widely‐used imaging modality that can robustly evaluate cardiovascular anatomy and function, but direct methods to estimate blood flow velocity from movies of contrast dynamics have not ...
Jinyuxuan Guo +4 more
wiley +1 more source
ABSTRACT Purpose We present a method for absolute quantification of deuterated metabolites in vivo at 7T. We describe acquisition protocols and an analysis pipeline compatible with 7T Terra MRIs. We apply them using a 2H/1H receive array in healthy volunteers and glioblastoma patients.
Jabrane Karkouri +12 more
wiley +1 more source
ABSTRACT In this paper, we assess the performance of adaptive and nested factorized sparse approximate inverses as smoothers in multilevel V‐cycles, when smoothing is performed following the Chebyshev iteration of the fourth kind, for the efficient solution of linear systems arising from a conforming discretization of higher‐order partial differential ...
Pablo Jiménez Recio +1 more
wiley +1 more source
Efficient and provably-secure certificateless signature scheme without bilinear pairings [PDF]
Many certificateless signature schemes using bilinear pairings have been proposed. But the relative computation cost of the pairing is approximately twenty times higher than that of the scalar multiplication over elliptic curve group. In order to improve
Chen Jianhua, Zhang Rui, He Debiao
core
An Augmented Lagrangian Preconditioner for Navier–Stokes Equations With Runge–Kutta in Time
ABSTRACT We consider an implicit Runge–Kutta method for the numerical time integration of the nonstationary incompressible Navier–Stokes equations. This yields a sequence of nonlinear problems to be solved for the stages of the Runge–Kutta method. The resulting nonlinear system of differential equations is discretized using a finite element method.
Santolo Leveque +2 more
wiley +1 more source
Neural network with signal parameters featuring for near‐surface velocity model building
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley +1 more source
Bilinear Pairings on Elliptic Curves
I denne oppgåva studerer vi bilineære parringer på elliptiske kurver. Først gir vi ein introduksjon til algebraisk geometri og spesielt omgrepet divisorar. Vidare ser vi på elliptiske kurver og deira aritmetikk. Vi ser på to ulike parringer på elliptiske kurver, Weilparringa og Tateparringa.
openaire +1 more source
Constructing elliptic curves with bilinear groups of composite order
Bilinear group 이란 암호적인 pairing이 잘 정의된 cyclic group 이다. 특히 bilinear group의 order가 composite 일 때, 암호학적으로 유용한 protocol들을 만들 수 있다. 이러한 protocol들의 보안성은 bilinear group의 주어진 원소가 특정한 subgroup 안에 있는지의 여부에 따라 결정되는 subgroup decision problem에 의존한다.
안소영
core
Twisted Wire Strands Under Coupled Bending and Torsion
ABSTRACT Slender composite structures occur in automotive applications in different variations and on different size scales. They range from single conductors, which are composite structures themselves, to wiring harnesses, where another level of complexity is added by bundling several cables.
Muhannad Hawwash +5 more
wiley +1 more source
Efficient and Generalized Pairing Computation on Abelian Varieties [PDF]
In this paper, we propose a new method for constructing a bilinear pairing over (hyper)elliptic curves, which we call the R-ate pairing. This pairing is a generalization of the Ate and Ate_i pairing, and also improves efficiency of the pairing ...
Hyang-Sook Lee +2 more
core

