Results 41 to 50 of about 1,220 (188)

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas   +4 more
wiley   +1 more source

Material‐Driven Neuronal Oscillators and Filters via Active Reactance in CC‐NDR and VC‐NDR Electro‐Thermal Memristors

open access: yesAdvanced Physics Research, EarlyView.
Active reactance in electro‐thermal memristors emerges intrinsically from rapid thermal switching of device resistance, linking current‐controlled and voltage‐controlled negative differential resistance to neuronal spiking dynamics. Opposing temperature coefficients of resistance give rise to active inductive or capacitive responses, enabling tunable ...
Fatme Jardali   +4 more
wiley   +1 more source

METHOD OF EVALUATION OF THE EFFICIENCY OF TELECOMMUNICATION NETWORK MANAGEMENT SYSTEM

open access: yesSučasnì Informacìjnì Tehnologìï u Sferì Bezpeki ta Oboroni, 2018
The article analyzes existing approaches and methods for assessing the efficiency of a telecommunication network and its management system. The concept of efficiency, classification and existing approaches to its evaluation are considered.
Eduard N. Bovda   +2 more
doaj  

Guiding and Manipulating Light Fields in Microstructured Liquid Crystals

open access: yesAdvanced Physics Research, EarlyView.
This review summarizes recent advances in guided‐wave optics enabled by microstructured liquid crystal (LC) devices, covering their fundamental material properties, key degree of freedom for dynamic light field manipulations. The advances of linear guided‐wave optics, nonlinear‐optics with spatial optical solitons, and microlasers in LC‐based devices ...
Shan‐shan Chang   +2 more
wiley   +1 more source

Research on the network of rotating rate of spinning frame

open access: yesThe Journal of Engineering, 2019
For the operation of the spinning frame in the spinning mill, Hall sensors are used to test the running rate of each axis of the spinning frame. In order to centrally monitor the operation of the spinning frame, analyse the production site environment ...
Xiaohui Chen   +2 more
doaj   +1 more source

Organic Photodetectors and Sensors for Low‐Light and Infrared Applications

open access: yesElectron, EarlyView.
This mini review highlights recent advances in organic photodetectors and sensors for low‐light and infrared applications, emphasizing molecular design, device architectures, and interface engineering that improve charge transport, detectivity, speed, and spectral selectivity.
Swarup Biswas, Hyeok Kim
wiley   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

open access: yesEnergy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman   +5 more
wiley   +1 more source

Research on energy-saving power system of office building lighting based on Internet of Things

open access: yesThe Journal of Engineering, 2019
In order to solve the problem of lighting waste in developing countries and backward areas, an application of Internet of Things technology, combined with edge computing, is proposed to achieve intelligent lighting system for office buildings. The system
Yangping Zheng, Jia Qu, Hongtao Yu
doaj   +1 more source

Programmable crack dynamics engineering enables flexible strain sensors with high linearity

open access: yesFlexMat, EarlyView.
First‐decoupling theoretical framework of crack evolution elucidating the control methods, mechanistic insights, and structure‐activity relationships is established. Crack propagation from uncontrollable randomness systematically evolves into spatially ordered states.
Chunjin Wu   +9 more
wiley   +1 more source

Interdiction Models and Heuristics for Graph Propagation

open access: yesNetworks, EarlyView.
ABSTRACT Given a graph G=(V,E)$$ G=\left(V,E\right) $$ and a set S⊂V$$ S\subset V $$ of activated/infected nodes, we consider the problem of determining the set of c$$ c $$ nodes that minimizes the network propagation on the subgraph that results from the removal of those c$$ c $$ nodes. To measure network propagation, we assume that a node i$$ i $$ is
Agostinho Agra, José Maria Samuco
wiley   +1 more source

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