Results 61 to 70 of about 86,930,815 (284)

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Distributed Peer-to-Peer Optimization Based on Robust Reinforcement Learning with Demand Response: A Review

Computers
The increasing adoption of renewable energy resources and the growing need for efficient and adaptable energy management have emphasized the importance of innovative solutions for energy sharing and storage.
Andrés Martínez, Paul Arévalo
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Smart Contract–Enabled P2P Energy Trading: A Formally Verified Game-Theoretic Framework

IEEE Open Journal of the Computer Society
The global energy sector is experiencing a significant revolution, propelled by the necessity to address climate change and shift towards sustainable energy sources.
Gauhar Ali, Sajid Shah, Muhammad Asim, Abdelhamied A. Ateya, Mohammed ElAffendi   +4 more
doaj   +1 more source

A social relationship preference aware peer‐to‐peer energy market for urban energy prosumers and consumers

IET Renewable Power Generation, 2022
Increasingly prevalence of distributed energy resources (such as solar panels and wind turbines) has been transforming traditional energy consumers to become energy prosumers (producers‐and‐consumers).
Zehua Zhao, Fengji Luo, Chunming Zhang, Gianluca Ranzi   +3 more
doaj   +1 more source

Rede peer-to-peer para imagem médica [PDF]

, 2010
Mestrado em Engenharia de Computadores e TelemáticaNos últimos anos, a imagem médica em formato digital tem sido uma ferramenta cada vez mais importante quer para o diagnóstico médico quer para o auxílio ao tratamento.
Ferreira, Carlos André Marques Viana
core  

Attrition Defenses for a Peer-to-Peer Digital Preservation System

, 2004
In peer-to-peer systems, attrition attacks include both traditional, network-level denial of service attacks as well as application-level attacks in which malign peers conspire to waste loyal peers' resources.
David S. H. Rosenthal, Giuli, T.J., TJ Giuli, T J Giuli, Mema Roussopoulos, Mary Baker, Petros Maniatis, Maniatis, Petros, Barker, Mary, Rosenthal, David S. H., Roussopoulos, Mema   +10 more
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Decentralized Peer-to-peer Trading Strategy Considering Flexibility of Multiple Microgrids

Zhongguo dianli
Active distribution network dominated by renewable energy need to incentivize the participation of various distributed energy resources to enhance system flexibility. To address the power fluctuation problems caused by the large-scale access of renewable
Xiaowen HUANGFU, Ke LI, Changqing XU, Xiaoliang JIANG, Haozheng YU, Rujing WANG   +5 more
doaj   +1 more source