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82. Mechanism Analysis of the Impact of COVID-19 on the Whole Process of Aircraft Turnaround Operations

Author

Tang, Xiaowei, Wu, Jiaqi, Wu, Cheng-Lung, and Zhang, Shengrun

Subjects
China. General Administration of Civil Aviation, Epidemics -- Case studies -- China, Caterers and catering -- Case studies, Airport terminals -- Services, Transportation industry
Abstract

Efficient aircraft turnaround operations at airports are vital to ensure overall air traffic network performance. After the outbreak of COVID-19, the traditional aircraft ground handling process has changed significantly due to new requirements put forward by the pandemic prevention and control policy. To better understand how COVID-19 has affected ground handling operations, a discrete-event simulation model of turnaround is established to analyze the change in the whole turnaround process before and after the pandemic. The critical path of turnaround operations was used to identify the significantly affected subprocesses to which airports should pay attention. For a case study on the two busiest airports in China, the aircraft turnaround time increased by about 18% after COVID-19. Cabin cleaning, catering, and passenger embarking were the main processes in causing this increase. By evaluating the impact mechanism of COVID-19 on turnaround operations, the study sheds light on strategic, tactical, and operational approaches for relevant authorities., Author(s): Xiaowei Tang (corresponding author) [1]; Jiaqi Wu [1]; Cheng-Lung Wu [2]; Shengrun Zhang [1] 1. Introduction As one of the three basic components of the aircraft operation process at [...]

Published
2024
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98. Privacy Information Classification: A Hybrid Approach

Author

Wu, Jiaqi, Li, Weihua, Bai, Quan, Ito, Takayuki, and Moustafa, Ahmed

Subjects
Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security, I.2.4
Abstract

A large amount of information has been published to online social networks every day. Individual privacy-related information is also possibly disclosed unconsciously by the end-users. Identifying privacy-related data and protecting the online social network users from privacy leakage turn out to be significant. Under such a motivation, this study aims to propose and develop a hybrid privacy classification approach to detect and classify privacy information from OSNs. The proposed hybrid approach employs both deep learning models and ontology-based models for privacy-related information extraction. Extensive experiments are conducted to validate the proposed hybrid approach, and the empirical results demonstrate its superiority in assisting online social network users against privacy leakage., Comment: IJCAI 2019 Workshop. The 4th International Workshop on Smart Simulation and Modelling for Complex Systems

Published
2021

99. Athena: Constructing Dialogues Dynamically with Discourse Constraints

Author

Harrison, Vrindavan, Juraska, Juraj, Cui, Wen, Reed, Lena, Bowden, Kevin K., Wu, Jiaqi, Schwarzmann, Brian, Ebrahimi, Abteen, Rajasekaran, Rishi, Varghese, Nikhil, Wechsler-Azen, Max, Whittaker, Steve, Flanigan, Jeffrey, and Walker, Marilyn

Subjects
Computer Science - Computation and Language
Abstract

This report describes Athena, a dialogue system for spoken conversation on popular topics and current events. We develop a flexible topic-agnostic approach to dialogue management that dynamically configures dialogue based on general principles of entity and topic coherence. Athena's dialogue manager uses a contract-based method where discourse constraints are dispatched to clusters of response generators. This allows Athena to procure responses from dynamic sources, such as knowledge graph traversals and feature-based on-the-fly response retrieval methods. After describing the dialogue system architecture, we perform an analysis of conversations that Athena participated in during the 2019 Alexa Prize Competition. We conclude with a report on several user studies we carried out to better understand how individual user characteristics affect system ratings., Comment: 3rd Proceedings of Alexa Prize (Alexa Prize 2019)

Published
2020

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