Results 111 to 120 of about 96,720 (286)

Object-topological modeling of electrical networks

Вестник Северо-Кавказского федерального университета
. Introduction. The Common Information Model (CIM) is the conceptual basis for modeling electrical networks and automating their management. It allows building object-oriented models of electrical networks, but does not provide efficient tools for ...
I. A. Golovinskii
doaj   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Enhanced thermal modeling of power transformers: A comparison of bond graph and IEEE methods considering external environmental factors

e-Prime: Advances in Electrical Engineering, Electronics and Energy
The optimal and secure operation of electrical power system is largely affected by the reliability of power transformers in operational and economic terms.
Vinit Mehta, Jayashri Vajpai
doaj   +1 more source

Tailoring Functional Properties of Ti–Ni–Cu Shape Memory Alloy Thin Films for MEMS Actuators

Advanced Engineering Materials, EarlyView.
A comprehensive study of critical parameters required to develop well‐performing Ti–Ni–Cu thin film shape memory alloy microactuators is provided. Materials science and device integration aspects are integrated by addressing structural and physical relationships using complementary characterization techniques as well as a practical fabrication solution
Elaheh Akbarnejad, Aleksander Kostka, Gowtham Arivanandhan, Yujiao Li, Alan Savan, Manfred Kohl, Alfred Ludwig   +6 more
wiley   +1 more source

High-Throughput Random Access via Codes on Graphs

, 2010
Recently, contention resolution diversity slotted ALOHA (CRDSA) has been introduced as a simple but effective improvement to slotted ALOHA. It relies on MAC burst repetitions and on interference cancellation to increase the normalized throughput of a ...
Paolini, Enrico, G. Liva, Liva, Gianluigi, Chiani, Marco   +3 more
core  

Neighbourhood graph of the gene BRCA1 according to the Lieberman-Aiden et al. experiment.

, 2013
Gene expression data about colon cancer experiment GDS3160 have been mapped on the graph to show the enhanced description (and prediction) power that the graph representation has in relation to gene co-expression with respect to the approach relying on ...
Luciano Milanesi (28769), Pietro Liò (34327), Ivan Merelli (28784)   +2 more
core   +1 more source

Unveiling the nature of graphs through quantum graphon learning

npj Quantum Information
Graphons are continuous functions hidden behind large-scale graphs. Traditional approaches to graphon learning either suffer from the resolution limitations of piecewise-constant functions or struggle to capture the high-frequency structures intrinsic to
Wenbo Qiao, Peng Zhang, Jiaming Zhao, Shi-Ju Ran   +3 more
doaj   +1 more source

Soft Mechanical‐Electrical Logic Using Liquid Metal‐Filled 3D‐Printed Architectures

Advanced Engineering Materials, EarlyView.
We present 3D‐printed soft mechanical–electrical logic elements that use liquid metal–filled silicone tubes actuated by thermoplastic polyurethane/polylactic acid (TPU/PLA) architectures to produce Boolean operations. Complementary normally open and normally closed unit cells perform repeatable binary transitions and can be combined into more complex ...
Christoph Lehmann, Ryan Kalgreen, Laura M. Comella   +2 more
wiley   +1 more source

Graph Neural Network- Enhanced Power Flow Adjustment

International Journal of Inventive Engineering and Sciences
Modern power grids are facing unprecedented operational complexity due to the surge in distributed energy resources (DERs), intermittent renewables, and electric vehicle (EV) charging demands. While traditional methods like Newton Raphson are computationally precise, their iterative nature often fails to meet the sub-second latency requirements of ...
Gowtham I, Dr. Perumal B
openaire   +1 more source

Dynamic Reconfiguration Method of Active Distribution Networks Based on Graph Attention Network Reinforcement Learning

Energies
The quantity of wind and photovoltaic power-based distributed generators (DGs) is continually rising within the distribution network, presenting obstacles to its safe, steady, and cost-effective functioning.
Chen Guo, Changxu Jiang, Chenxi Liu
doaj   +1 more source