Failure analysis for model-based organ segmentation using outlier detection

2014 ◽  
Author(s):  
Axel Saalbach ◽  
Irina Wächter Stehle ◽  
Cristian Lorenz ◽  
Jürgen Weese
Keyword(s):  
Failure Analysis ◽  
Outlier Detection ◽  
Model Based

scholarly journals Cascading Failure Analysis on Shanghai Metro Networks: An Improved Coupled Map Lattices Model Based on Graph Attention Networks

2021 ◽  
Vol 19 (1) ◽  
pp. 204
Author(s):  
Haonan Ye ◽  
Xiao Luo
Keyword(s):  
Failure Analysis ◽  
Emergency Management ◽  
Cascading Failure ◽  
Coupled Map Lattices ◽  
Dynamic Behaviors ◽  
Attention Networks ◽  
Model Based ◽  
Metro Networks ◽  
Shanghai Metro ◽  
Metro Network

Analysis of the robustness and vulnerability of metro networks has great implications for public transport planning and emergency management, particularly considering passengers’ dynamic behaviors. This paper presents an improved coupled map lattices (CMLs) model based on graph attention networks (GAT) to study the cascading failure process of metro networks. The proposed model is applied to the Shanghai metro network using the automated fare collection (AFC) data, and the passengers’ dynamic behaviors are simulated by GAT. The quantitative cascading failure analysis shows that Shanghai metro network is robust to random attacks, but fragile to intentional attacks. Moreover, there is an approximately normal distribution between instant cascading failure speed and time step and the perturbation in a station which leads to steady state is approximately a constant. The result shows that a station surrounded by other densely distributed stations can trigger cascading failure faster and the cascading failure triggered by low-level accidents will spread in a short time and disappear quickly. This study provides an effective reference for dynamic safety evaluation and emergency management in metro networks.

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