Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Ji, Wenying"'
Industrial and commercial ports, which are one of the three main hubs to the country, require 24/7 operations to maintain the goods export and import flow. Due to the aging and weather factors, berths require regular maintenance, such as replacing ol
Externí odkaz:
http://arxiv.org/abs/2212.04654
Following extreme events, efficient restoration of infrastructure systems is critical to sustaining community lifelines. During the process, effective monitoring and control of the infrastructure restoration progress is critical. This research propos
Externí odkaz:
http://arxiv.org/abs/2212.04651
Publikováno v:
In Advanced Engineering Informatics August 2024 61
Timely and reliable sensing of infrastructure conditions is critical in disaster management for planning effective infrastructure restorations. Social media, a near real-time information source, has been widely used in disasters for forming timely si
Externí odkaz:
http://arxiv.org/abs/2103.00708
When a disaster occurs, maintaining and restoring community lifelines subsequently require collective efforts from various stakeholders. Aiming at reducing the efforts associated with generating Stakeholder Collaboration Networks (SCNs), this paper p
Externí odkaz:
http://arxiv.org/abs/2103.00287
Autor:
Li, Yitong, Ji, Wenying
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 absorbing Markov chain that models the process of delivering federal assist
Externí odkaz:
http://arxiv.org/abs/2006.06510
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 understand details of operations. Aiming at reducing modelers' interpretation
Externí odkaz:
http://arxiv.org/abs/2004.12213
During and after disasters, highways provide vital routes for emergency services, relief efforts, and evacuation activities. Thus, a timely and reliable assessment of disaster impacts on highways is critical for decision-makers to quickly and effecti
Externí odkaz:
http://arxiv.org/abs/1909.03362
Autor:
Li, Yitong, Ji, Wenying
This paper aims to propose a novel deep learning-integrated framework for deriving reliable simulation input models through incorporating multi-source information. The framework sources and extracts multisource data generated from construction operat
Externí odkaz:
http://arxiv.org/abs/1906.06421
Public sentiment is a direct public-centric indicator for the success of effective action planning. Despite its importance, systematic modeling of public sentiment remains untapped in previous studies. This research aims to develop a Bayesian-based a
Externí odkaz:
http://arxiv.org/abs/1904.02846