Results 21 to 30 of about 1,602 (158)

Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes

Advanced Intelligent Systems, EarlyView.
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards, Thales C. Silva, M. Ani Hsieh   +2 more
wiley   +1 more source

Cavitation regime detection through Proper Orthogonal Decomposition: dynamics analysis of the sheet cavity on a grooved convergent-divergent nozzle [PDF]

, 2014
The unsteady character of the sheet cavity dynamics on the suction side of hydrofoils, on convergent–divergent nozzles or on blades in turbines and propellers is responsible for many issues like erosion, noise and vibrations. This two-phase flow dynamics
DANLOS, Amélie, Olivier Coutier-Delgosha, BAKIR, Farid, RAVELET, Florent, Amélie Danlos, Farid Bakir, COUTIER-DELGOSHA, Olivier, Florent Ravelet   +7 more
core   +1 more source

New‐Generation Integrated Devices: Multiple‐Energy Utilization and Integration Systems Based on Perovskite Photovoltaics

EcoEnergy, EarlyView.
This review highlights emerging integrated energy systems based on perovskite photovoltaics, including PSC–thermoelectric, photovoltaic–electrochemical, self‐charging, and building‐integrated architectures. By coupling multiple energy conversion and storage pathways, these multifunctional platforms enable enhanced solar utilization, improved stability,
Yihuai Huang, Wenguang Zhang, Yuchen Xiong, Zijun Yi, Changkai Huang, Qinghui Jiang, Abdul Basit, Guibin Shen, Yubo Luo, Xin Li, Junyou Yang   +10 more
wiley   +1 more source

Bayesian Dynamic Mode Decomposition

, 2017
Dynamic mode decomposition (DMD) is a data-driven method for calculating a modal representation of a nonlinear dynamical system, and it has been utilized in various fields of science and engineering. In this paper, we propose Bayesian DMD, which provides
Yasuo Tabei, Yoshinobu Kawahara, Naoya Takeishi, Takehisa Yairi   +3 more
core   +1 more source

On Alternative Algorithms for Computing Dynamic Mode Decomposition

, 2022
Dynamic mode decomposition (DMD) is a data-driven, modal decomposition technique that describes spatiotemporal features of high-dimensional dynamic data.
Gyurhan Nedzhibov
core   +1 more source

Mechanical stability in flexible perovskite solar cells: Interface engineering and device design

FlexMat, EarlyView.
Statistics of the improvement methods for f‐PSCs. Abstract Flexible perovskite solar cells (f‐PSCs) demonstrate significant potential for application in next‐generation wearable electronic devices and photovoltaic building integration due to their high power conversion efficiency and excellent power‐to‐weight ratio. However, the inherent brittleness of
Hong‐Yi Hou, Xin‐Yi Zeng, Jian‐Xin Tang, Yan‐Qing Li   +3 more
wiley   +1 more source

Cutting Through the Noise: Extracting Dynamics from Ultrafast Spectra using Dynamic Mode Decomposition

, 2023
Coherent multidimensional spectroscopy provides experimental access to molecular structure and sub-picosecond dynamics in solution. Dynamics are typically inferred from the evolution of lineshapes over was a function of waiting time.
Cong, Xu, Carlos, Baiz
core   +1 more source

VQ‐Wave: A Physics‐Driven Spatiotemporal Deep Learning Approach for Noncontrast‐Enhanced Lung Ventilation and Perfusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman, Pavlos Panos, Philipp Latzin, Oliver Bieri   +3 more
wiley   +1 more source

Preconditioned dynamic mode decomposition and mode selection algorithms for large datasets using incremental proper orthogonal decomposition

, 2017
In this letter, we propose a simple and efficient framework of dynamic mode decomposition (DMD) and mode selection for large datasets. The proposed framework explicitly introduces a preconditioning step using an incremental proper orthogonal ...
Yuya Ohmichi
core   +1 more source

An Improved Fast Computational Method for Vibration Characteristic Analysis of Dry‐Type Iron Core Reactor

High Voltage, EarlyView.
ABSTRACT Structural mechanics field simulation plays a critical role in the vibration characteristic analysis of electrical equipment. Existing structural field analysis of equipment based on numerical simulation faces challenges such as convergence difficulties and prolonged computational time, failing to meet the demand for real‐time prediction of ...
Wanqing Wang, Caibo Liao, Bang Liu, Kai Li, Wenyu Liu, Zhaoguo Li, Xianfa Tian   +6 more
wiley   +1 more source