A5102884884- Railway Engineering and Dynamics
- Infrastructure Maintenance and Monitoring
- Evaluation Methods in Various Fields
- Advanced Decision-Making Techniques
- Railway Systems and Energy Efficiency
- Vehicle emissions and performance
- Reliability and Maintenance Optimization
- Computer Graphics and Visualization Techniques
- Vehicle License Plate Recognition
- Rough Sets and Fuzzy Logic
- Data Mining Algorithms and Applications
- Gait Recognition and Analysis
- Advanced Machining and Optimization Techniques
- Urban and Freight Transport Logistics
- Human-Automation Interaction and Safety
- Video Surveillance and Tracking Methods
- Electrical Contact Performance and Analysis
- Civil and Geotechnical Engineering Research
- Hydraulic and Pneumatic Systems
- Traffic Prediction and Management Techniques
- Face recognition and analysis
Istituto Tecnico Industriale Alessandro Volta
2021
Weatherford College
2021
Beijing Jiaotong University
2013-2020
Irregularities in railway tracks are a key factor influencing the safety of trains. In this paper, rail track is considered to consist consecutive maintenance units whose individual defect states can be quantified terms quality index. A Markov stochastic process approach used evaluate deterioration unit. hazard model formulated using heterogeneity units, and matrix transition probabilities constructed. The parameters developed models estimated via maximum log-likelihood function. prediction...
Recently, person re-identification (ReID) has witnessed fast development due to its broad practical applications and proposed various settings, e.g., traditional ReID, clothes-changing visible-infrared ReID. However, current studies primarily focus on single specific tasks, which limits model applicability in real-world scenarios. This paper aims address this issue by introducing a novel instruct-ReID task that unifies 6 existing ReID tasks one retrieves images based provided visual or...
Railway track irregularities are key factors that affect the safety of trains and comfort passengers. In this study, a railway is separated into consecutive maintenance units, which used as research objects. We propose novel framework, referred to tree-augmented naïve Bayes-track quality index (TAN-TQI), identify possible underlying patterns or rules for predicting based on characteristic deterioration units. The prediction framework validated using irregularity data measured geometry cars....
Track quality instruments use low-cost accelerometers placed on or attached to the floors of operating trains, and these collect substantial amounts data over short inspection periods. The measurements collected by are main source for track irregularity evaluation. However, considerable measurement bias exists in vertical lateral vibration obtained from such instruments. False positive defects detected occur frequently. This results time effort being expended needlessly because maintenance...
Railway managers must have accurate assessments of railway track health to optimize maintenance and replacement scheduling allocate resources reasonably. A model for evaluation, in which a continuous line is divided into adjacent segments the same length, referred as grids, proposed this study. condition-evaluation index system grids was established, deep autoencoder networks were used reduce dimensions data on multiple condition measures. The set all possible features obtained using hybrid...
Conventional class-guided diffusion models generally succeed in generating images with correct semantic content, but often struggle texture details. This limitation stems from the usage of class priors, which only provide coarse and limited conditional information. To address this issue, we propose Diffusion on (DoD), an innovative multi-stage generation framework that first extracts visual priors previously generated samples, then provides rich guidance for model leveraging early stages...
Mastering rail degradation is of great importance for railway infrastructure managers estimating the service and residual life rails, making rational decisions about maintenance repair to ensure safety trains. Rails have different rules at locations, because they are susceptible heterogeneity factors such as geographical environment, transportation organization. In this paper, authors propose a novel segment-based model, in which continuous line divided into several adjacent 1-kilometer-long...
The optimization of railway track inspection schedules is great significance for the monitoring conditions and reasonable organization maintenance tasks. Here, an optimal scheduling model tracks proposed. Railway activities are divided into equal‐length units in time spatial location dimensions. various constraints objectives on different defined detail regarding subdivisions individual management units. development to achieve a more optimized equilibrium robustness schedule. Based maximum...
A comprehensive and intuitive understanding of railway track health is crucial for managers to ensure operational safety rational allocation maintenance repair resources. evaluation model based on matter element analysis grids proposed. The divides a continuous line into adjacent "segments" the same specific length, called "track grids". established using method in extension theory. fully considers objectivity expert knowledge data uses an improved entropy weight determine indicator weights....