Results 51 to 60 of about 575 (185)

Design patterns for metamodels [PDF]

Proceedings of the compilation of the co-located workshops on DSM'11, TMC'11, AGERE! 2011, AOOPES'11, NEAT'11, & VMIL'11, 2011
A metamodel is used to define the abstract syntax (i.e., entities, attributes, and relations) of a Domain-Specific Modeling Language (DSML). In addition, a metamodel also defines constraints and static semantics that provide additional information about the modeling language beyond the abstract syntax.
Hyun Cho, Jeff Gray 0001
openaire   +1 more source

Multimodal Semantic Fusion of Heterogeneous Data Silos

Systems
Maintaining consistency in complex systems is a continuous challenge that requires active coordination. Data management systems often face the issue of segregated data silos due to various organizational and technical factors.
Abdurrahman Alshareef, Bernard P. Zeigler   +1 more
doaj   +1 more source

Ready-to-Fabricate RF Circuit Synthesis Using a Layout- and Variability-Aware Optimization-Based Methodology

IEEE Access, 2020
In this paper, physical implementations and measurement results are presented for several Voltage Controlled Oscillators that were designed using a fully-automated, layout- and variability-aware optimization-based methodology.
Fabio Passos, Elisenda Roca, Ricardo Martins, Nuno Lourenco, Saiyd Ahyoune, Javier Sieiro, Rafael Castro-Lopez, Nuno Horta, Francisco V. Fernandez   +8 more
doaj   +1 more source

On Metamodeling of Electronic Circuits using Efficient Experiment Plans [PDF]

Journal of Electrical and Electronics Engineering, 2020
The use of metamodels has become more and more frequent when it comes to the analysis and optimization of simulations, as they are capable of predicting the behavior of a system in a much shorter time compared to normal simulations, but with comparable ...
CĂRBUNESCU-STOENESCU Bianca-Raluca, KOVACS Ingrid, FĂRCAȘ Călin, ȚOPA Marina, DAVID Emilian   +4 more
doaj  

Multi-Objective Optimal Design of Permanent Magnet Synchronous Motor for Electric Vehicle Based on Deep Learning

Applied Sciences, 2020
Recently, a large amount of research on deep learning has been conducted. Related studies have also begun to apply deep learning techniques to the field of electric machines, but such studies have been limited to the field of fault diagnosis.
Yong-min You
doaj   +1 more source

Metamodeling of Void Closure during Hot Flat Rolling

steel research international, Volume 97, Issue 1, Page 104-115, January 2026.
This work aims to present a fast metamodel for void closure during hot flat rolling. The model takes into account every individual void of void distributions as found in industrial material and is capable of calculating the resulting void closure within only few seconds of computational time without loosing significant accuracy compared to expensive ...
Jannik Gerlach, Conrad Liebsch, Emad Scharifi   +2 more
wiley   +1 more source

A Metamodel‐Based Method for Photovoltaic and Energy Storage Investors to Participate in Multilocal Energy Market Transactions

International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.
With the government’s cancellation of subsidies for newly registered centralized photovoltaic (PV) power stations and the exacerbation of solar curtailment in China, PV and energy storage (PV–ES) investors are urgently in need of transitioning to market‐oriented operational models to enhance their revenues.
Mingxi Tang, Ciwei Gao, Xingyu Yan, Xingshuo Li   +3 more
wiley   +1 more source

Application of Deep Learning Methodologies in Steel Wheel Design

Material Design &Processing Communication, Volume 2026, Issue 1, 2026.
Wheel design represents a complex engineering challenge, characterized by constraints related to safety and structural efficiency. This study explores the integration of deep learning (DL) techniques into the optimization process of steel wheel design, with the goal of accurately predicting stress distributions, wheel weight, and material usage based ...
Davide Ronco, Giorgio Gallio, Roberto Fontana, Franco Pellerey, Pramita Mishra   +4 more
wiley   +1 more source

Probabilistic Estimation Plastic Properties of Alloy 600 From Spherical Indentation Using Surrogate‐Assisted Bayesian Inference Inverse Approach

Science and Technology of Nuclear Installations, Volume 2026, Issue 1, 2026.
Alloy 600, a nickel‐based material, is widely used in steam generator tubing and penetration nozzles of pressurized water reactors (PWRs) due to its exceptional corrosion resistance and excellent mechanical properties under high‐temperature and high‐pressure water conditions.
Kuan Zhao, ChenKang Guan, Jianlong Zhang, Shengyong Mu, Mohamed Hanfi   +4 more
wiley   +1 more source

Statistical Models for Infrasonic Propagation: Application to the Detection Capability of the Global IMS Network

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 24, 28 December 2025.
Abstract The detection capability of the global infrasound International Monitoring System (IMS) deployed to monitor compliance with the Comprehensive Nuclear‐Test‐Ban Treaty is highly variable in space and time. Previous studies estimated the source energy of near‐surface explosions from remote observations using empirical yield‐scaling relations ...
A. Le Pichon, P. Hupe, J. Vergoz, S. Kristoffersen, C. Listowski, E. Marchetti, D. Gheri, L. Ceranna   +7 more
wiley   +1 more source