Results 71 to 80 of about 84,089 (265)

Event-Driven Edge Agent Framework for Distributed Control in Distribution Networks

Energies
With the large-scale integration of heterogeneous energy resources and the increasing demand for flexible control, centralized control is facing challenges in terms of operational efficiency and system responsiveness when handling high-precision ...
Xianglong Zhang, Ying Liu, Songlin Gu, Yuzhou Tian, Yifan Gao   +4 more
doaj   +1 more source

Impact of local adaptation measures and regional climate change on perceived temperature

Meteorologische Zeitschrift, 2013
The perceived temperature (PT) is a measure for the quantification of human thermal comfort developed by the German Meteorological Service (DWD). In the present article, the sensitivity of PT on air temperature, water vapour pressure, wind speed, mean ...
Robert Schoetter, David Grawe, Peter Hoffmann, Peter Kirschner, Angelika Grätz, K. Heinke Schlünzen   +5 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

An Analysis of Vectorised Automatic Differentiation for Statistical Applications

Stats
Automatic differentiation (AD) is a general method for computing exact derivatives in complex sensitivity analyses and optimisation tasks, particularly when closed-form solutions are unavailable and traditional analytical or numerical methods fall short.
Chun Fung Kwok, Dan Zhu, Liana Jacobi
doaj   +1 more source

Innovating Aircraft Repair Processes: The Role of Digitalization in Sustainability

Advanced Engineering Materials, EarlyView.
This research explores how digitalization—by storing detailed non‐destructive testing data in structured DICONDE databases and creating a standard data model of the component—innovates aviation maintenance and repair processes. Coupled with a developed state‐based simulation model, it enables data‐driven, sustainable repair strategies that reduce waste,
Johanna Aigner, Geo Jacob, Florian Raddatz, Gerko Wende   +3 more
wiley   +1 more source

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

MATSE—multi-fidelity augmented time-series emulation: galvanic corrosion applications

Machine Learning: Science and Technology
Complex physio-chemical phenomena can be investigated using high-fidelity physics-based finite element (FE) models. These models provide accurate predictions of the response of interest, as well as insights into its evolution over time.
Aditya Venkatraman, Ryan M Katona, David Montes de Oca Zapiain   +2 more
doaj   +1 more source

Interaction between Molten Al‐Killed Mn–B Steel and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé, Lukas Neubert, Anton Yehorov, Till M. J. Stadtmüller, Christos G. Aneziris, Olena Volkova   +5 more
wiley   +1 more source

A Source Identification Problem in Magnetics Solved by Means of Deep Learning Methods

Mathematics
In this study, a deep learning-based approach is used to address inverse problems involving the inversion of a magnetic field and the identification of the relevant source, given the field data within a specific subdomain.
Sami Barmada, Paolo Di Barba, Nunzia Fontana, Maria Evelina Mognaschi, Mauro Tucci   +4 more
doaj   +1 more source

Engineered Mycelial Scaffolds With Tunable Ultraviolet Protection, Wettability, Thermal Stability, and Spatial Mechanics

Advanced Engineering Materials, EarlyView.
Fungal mycelia grown into biodegradable scaffolds and infused with titania nanoparticles show enhanced ultraviolet shielding, thermal protection, and surface nonwettability. Properties were tuned by drying methods, revealing structure–function relationships.
Juwon S. Afolayan, Xin Zhang, Carole C. Perry   +2 more
wiley   +1 more source