Results 101 to 110 of about 10,318 (256)
Scour‐Conditioned Seismic Fragility Analysis of Monopile‐Supported Offshore Wind Turbines
ABSTRACT Monopile‐supported offshore wind turbines (MS‐OWTs) are increasingly deployed in seismic coastal regions, where they face compound risks from earthquake loading and seabed scour. While past studies have addressed these hazards separately, seismic fragility under evolving scour conditions remains insufficiently understood. This study introduces
Francisco Pinto +3 more
wiley +1 more source
Hierarchical certificateless authenticated key agreement protocol
A hierarchical certificateless authenticated key agreement protocol was proposed, and the proposed protocol was proved secure in extended Canetti-Krawczyk (eCK) model, the security of the protocol was based on the computa-tional Diffie-Hellman assumption.
Hang SU, Jian-wei LIU, Rui TAO
doaj +2 more sources
Threshold Signature Schemes Application
This work is devoted to an investigation of threshold signature schemes. The systematization of the threshold signature schemes was done, cryptographic constructions based on interpolation Lagrange polynomial, elliptic curves and bilinear pairings were ...
Anastasiya Victorovna Beresneva +1 more
doaj
ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley +1 more source
This paper presents a finite element method for simulating highly viscoelastic flows of pure polymer melts using the Elastic Viscous Stress Splitting formulation. The method avoids higher‐order derivatives in the weak formulation by reformulating the convective term in the constitutive equation.
R. Ahmad, P. Zajac, S. Turek
wiley +1 more source
GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications
Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes +6 more
wiley +1 more source
(Not Surprising) Attacks on Recent Pairing-Free Attribute-Based Encryption Schemes
The fact that designing secure and efficient identity or attribute-based encryption (ABE) schemes requires the use of specific algebraic tools like bilinear pairings or lattices is well known in the cryptographic community.
Javier Herranz
doaj +1 more source
Hierarchical Testing of a Hybrid Machine Learning‐Physics Global Atmosphere Model
Abstract Machine learning (ML)‐based models have demonstrated high skill and computational efficiency, often outperforming conventional physics‐based models in weather and subseasonal predictions. While prior studies have assessed their fidelity in capturing synoptic‐scale atmospheric dynamics, their performance across timescales and under out‐of ...
Ziming Chen +11 more
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
Machine learning models predicted crop yield and soil greenhouse gas responses to biochar application, with soil and climate conditions identified as dominant factors. Global simulations and life cycle assessment quantified spatially optimized strategies and mitigation potential.
Xingyu Lu +3 more
wiley +1 more source

