Data-driven approximation of geotechnical dynamics to an equivalent single-degree-of-freedom vibration system based on dynamic mode decomposition

A Shioi, Y Otake, I Yoshida, S Muramatsu… - … and Management of …, 2023 - Taylor & Francis
The application of data science technologies in geotechnical and earthquake engineering is
a hot topic. This study aimed to identify the macroscopic dynamic properties of the soil from …

Analysis of characteristics of diffusion tortuosity of fine-grained gangue slurry in coal mine caving zone

J Wang, N Zhou, M Li, Y Wang - Environmental Science and Pollution …, 2023 - Springer
The diffusion characteristics of fine-grained gangue slurry are significant for gangue
consumption and ecological environment protection, especially in underground mines …

Towards precise flood prediction via hierachical terrain attention and multi-scale rainfall guidance

F Wang, Y Wang, S Chen, B Li, Q Huang - arXiv preprint arXiv:2212.01819, 2022 - arxiv.org
With the deterioration of climate, the phenomenon of rain-induced flooding has become
frequent. To mitigate its impact, recent works adopt convolutional neural networks or other …

Multi-Resolution Convolutional Dictionary Learning for Riverbed Dynamics Modeling

E Kobayashi, H Yasuda, K Hayasaka… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
This work proposes a novel formulation of convolutional-sparse-coded dynamic mode
decomposition (CSC-DMD) incorporating a deep learning framework. CSC-DMD is a high …

Realization of Digraph Filters Via Augmented GFT

H Kitamura, H Yasuda, Y Tanaka… - … Conference on Image …, 2023 - ieeexplore.ieee.org
This study proposes a filtering method for directed graph (digraph) signals. In order to
realize digraph filtering, a novel graph Fourier transform (GFT),–Augmented GFT (AuGFT) …

Urban flood management: Bangkok survey

N Waraporn, V Vanijja, M Supattatham… - Proceedings of the 12th …, 2021 - dl.acm.org
Completeness of flood management by the city authority has been limited. The requirement
from the city, residents, and city staffs must be integrated with the digital technology …

Reliability Analysis with Reduced Order Model

Y Otake, T Saito - Uncertainty, Modeling, and Decision Making in …, 2023 - taylorfrancis.com
This chapter delves into the utilization of reduced order models (ROMs) for assessing
system performance in geotechnical engineering, specifically focusing on robustness and …

Sparse-coded Time-delay Graph DMD for Prediction of River Water Level Distribution

ITO Ryuto, T NAITO, H YASUDA… - … on Circuits/Systems …, 2024 - ieeexplore.ieee.org
This paper proposes a method for predicting river water level distribution using time-delay
dynamic mode decomposition (tdDMD) and sparse modeling with graph filter banks (GFB) …

[引用][C] 247 Reliability Analysis with Reduced Order Model

Y Otake, T Saito - Uncertainty, Modeling, and Decision Making in …, 2024 - CRC Press