Results 31 to 40 of about 21,633 (146)

Story2Board: A Training‐Free Approach for Expressive Visual Storytelling

Computer Graphics Forum, EarlyView.
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich, M. Levy, O. Avrahami, D. Samuel, D. Lischinski   +4 more
wiley   +1 more source

Fatigue Crack Modeling of Railheads Using a Nonlinear Cohesive Zone Model

Fatigue &Fracture of Engineering Materials &Structures, EarlyView.
ABSTRACT Subsurface fatigue crack growth within railheads can be deleterious leading to catastrophic failures in rails. This study aims to model the fatigue crack growth originating at the subsurface level within railheads. Towards that end, a finite element modeling approach is utilized wherein complex crack growth is explicitly modeled using a ...
Santosh Reddy Kommidi, Hesam Mortazavi, Yong‐Rak Kim, David H. Allen   +3 more
wiley   +1 more source

Impactful Weather and Multi‐Hazard Events: Lived Experiences From Rural Scotland

Climate Resilience and Sustainability, Volume 5, Issue 1, June 2026.
This study explores stakeholders’ experiences of impactful weather events and multi‐hazards—whose frequency and severity are evolving due to climate change—using surveys of 43 participants and 12 follow‐up interviews from respondents in rural Scotland as a case study.
Lou Brett, YoungHwa Cha, Christopher J. White   +2 more
wiley   +1 more source

Separation of rail and wheel contributions to pass-by noise with sparse regularization methods

, 2020
This paper proposes a method for separating rail and wheel noise contributions via sparse regularization of microphone array data. The underlying idea is to promote sparse solutions, which jointly approximate the two noise contributions with few non-zero
Elias Zea, Efren Fernandez-Grande, Ines Lopez Arteaga   +2 more
semanticscholar   +1 more source

Evaluation of Modeling Assumptions for Predicting Structural Damage and Train Derailment Under Earthquake Loading

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 7, Page 1514-1532, June 2026.
ABSTRACT The rapid development of new railway networks and the aging of existing infrastructure in seismic‐prone regions continue to motivate the need for efficient methods to simulate the dynamic behavior of coupled train track structure systems. While detailed train–structure interaction (TSI) models can capture complex mechanisms, they are often too
Miguel A. Gomez, Matthew J. DeJong
wiley   +1 more source

Optical Fiber Sensors for Safety and Maintenance Monitoring of Linear Infrastructure

Advanced Sensor Research, Volume 5, Issue 5, May 2026.
This review rigorously provides a thorough and detailed overview of the most recent innovations and advancements in the field of railway and pipeline infrastructure monitoring, accomplished through the implementation of cutting‐edge fiber sensing technologies, with a specific emphasis on its two principal technical branches, namely multipoint sensing ...
Shengnan Wu, Yue Cao, Xiaokun Qian, Jianling Wu, Armando Laudati, Vincenzo Romano Marrazzo, Maria Alessandra Cutolo, Giovanni Breglio, Andrea Cusano, Antonello Cutolo, Sailing He   +10 more
wiley   +1 more source

Influence of Asymmetric Rail Cant on Rail Corrugation in Metro Small-radius Curve Sections

Chengshi guidao jiaotong yanjiu
[Objective] A reasonable rail cant can improve the wheel-rail matching relationship， effectively reduce wheel-rail contact pressure and mitigate wheel-rail wear.
SUN Ping, ZHAO Yannan, ZHANG Boyuan, ZHU Liqiang, LIU Kai   +4 more
doaj   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Research on Metro Vehicle Wheel Wear and Reprofiling Strategy

Chengshi guidao jiaotong yanjiu
Objective Wheel wear directly affects the vibration environment of metro vehicles. Severe abnormal wear can lead to structural fatigue exceeding the limit, reducing the safety of train operation.
JIA Xiaoping, ZHU Cheng, DAI Huanyun, YANG Chen   +3 more
doaj   +1 more source

Running position matching for the monitoring bogie and temporal subtraction analysis of derailment coefficient

Mechanical Engineering Journal, 2019
The derailment coefficient, which is calculated based on the wheel-rail contact forces, indicates the running safety of a railway vehicle with respect to flange climb derailment.
Yosuke ICHIYANAGI, Yohei MICHITSUJI, Akira MATSUMOTO, Yasuhiro SATO, Hiroyuki OHNO, Seigo OGATA, Masuhisa TANIMOTO, Atsushi IWAMOTO, Tomoki FUKUSHIMA, Takuji NAKAI   +9 more
doaj   +1 more source