4 papers
Understanding the Dynamics of Information Flow During Disaster Response Using Absorbing Markov Chains
Yitong Li, Wenying Ji
This paper aims to derive a quantitative model to evaluate the impact of information flow on the effectiveness of disaster response. At the core of the model is a specialized absor…
Automated Abstraction of Operation Processes from Unstructured Text for Simulation Modeling
Yitong Li, Wenying Ji, Simaan M. AbouRizk
Abstraction of operation processes is a fundamental step for simulation modeling. To reliably abstract an operation process, modelers rely on text information to study and understa…
Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks
Yitong Li, Wenying Ji
This paper aims to propose a novel deep learning-integrated framework for deriving reliable simulation input models through incorporating multi-source information. The framework so…
Enhanced Welding Operator Quality Performance Measurement: Work Experience-Integrated Bayesian Prior Determination
Yitong Li, Wenying Ji, Simaan M. AbouRizk
Measurement of operator quality performance has been challenging in the construction fabrication industry. Among various causes, the learning effect is a significant factor, which…