Results 61 to 70 of about 3,846 (183)
Uncertainty Quantification of Piezoelectric Energy Harvesters from Aeroelastic Vibrations
A stochastic approach is presented to evaluate the uncertainties associated with variations in design parameters of a piezoaeroelastic energy harvester.
Abdelkefi Abdessattar +2 more
doaj +1 more source
Probabilistic Identification of Parameters in Dynamic Fracture Propagation
ABSTRACT In this paper, we propose a novel multiphase approach for identifying input parameters in dynamic fracture propagation. Often, such parameters are partially known and uncertain with incomplete input data, resulting in challenges in predicting a reliable dynamic failure response.
Andjelka Stanić +3 more
wiley +1 more source
Enhancing E‐Commerce Security Based on Involution Function Using Twin Key AES Cipher
In the realm of surging e‐commerce data and increasing digital transactions, ensuring end‐to‐end security is paramount to protect sensitive information and maintain user trust. The Advanced Encryption Standard (AES), a cornerstone of network security, relies on symmetric key encryption for secure communication.
Biresh Kumar +11 more
wiley +1 more source
Hierarchical adaptive polynomial chaos expansions
Polynomial chaos expansions (PCE) are widely used in the framework of uncertainty quantification. However, when dealing with high dimensional complex problems, challenging issues need to be faced.
Mai, Chu V., Sudret, Bruno
core +1 more source
In this article, we provide a Gaussian beam‐based method to compute the RCS of dielectric and dielectric‐coated targets in both the monostatic and bistatic cases. ABSTRACT This study proposes to extend and refine the methodology of Gaussian beam summation (GBS) for computing the radar cross section (RCS) of dielectric targets in both monostatic and ...
Thomas Bonnafont +3 more
wiley +1 more source
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik +5 more
wiley +1 more source
The hybrid dynamic sand cat swarm optimisation (HD‐SCSO) approach introduces a bioinspired method to enhance energy efficiency, data transmission and resource fairness in WSNs. Through adaptive clustering, intelligent node selection and real‐time adjustments, HD‐SCSO ensures optimised performance, extended network lifetime and seamless IoT integration,
Samer Sindian +2 more
wiley +1 more source
This paper presents the uncertainty quantification and sensitivity analysis of the standard k-ɛ turbulence model applied to the numerical prediction of the non-cavitating and cavitating flow around a 2D NACA66MOD hydrofoil.
Simone Romani +3 more
doaj +1 more source
Meteorological Tsunamis: From Local Hazard to Global Relevance
Abstract Research on meteorological tsunamis or meteotsunamis—long ocean waves in the tsunami frequency band generated by propagating atmospheric disturbances which resonantly enhance ocean waves—has grown significantly in recent decades. This expansion is due to progress in (a) ocean and atmospheric measurements, including advanced instrumentation ...
Ivica Vilibić +2 more
wiley +1 more source
A non-intrusive reduced-order modeling method using polynomial chaos expansion
We propose a non-intrusive reduced-order modeling method based on proper orthogonal decomposition (POD) and polynomial chaos expansion (PCE) for stochastic representations in uncertainty quantification (UQ) analysis. Firstly, POD provides an optimally ordered basis from a set of selected full-order snapshots. Truncating this optimal basis, we construct
Sun, Xiang, Pan, Xiaomin, Choi, Jung-Il
openaire +2 more sources

