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IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects

conference contribution
posted on 2024-11-03, 12:43 authored by Jianqiu Xu, Hua Lu, Zhifeng Bao
Due to the widespread use of GPS-enabled devices such as smartphones, the research field of moving objects databases has been quite active in the past decade. Human movements are recorded, managed and analyzed for a plethora of applications. In this demo, we introduce a toolbox named IMO to simulate and query infected moving objects. This is primarily motivated by COVID-19 virus pandemic recently. We model the spreading behavior to demonstrate when and where people are infected. The protection policy is simulated such that one can see the isolation and self protection effects such as human movement restriction and the wearing of masks. Optimization techniques are developed to enhance the performance, including data storage, data partition and index structures. This is not a standalone software but a toolbox embedded in SECONDO, an open source and extensible database system. To the best of our knowledge, simulating and querying infected objects are not supported in existing moving objects prototype systems. Demo attendees can conveniently pose their queries and adjust parameters in the interface and the system will visualize the result after only a short delay.

Funding

Continuous intent tracking for virtual assistance using big contextual data

Australian Research Council

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Next-generation Intelligent Explorations of Geo-located Data

Australian Research Council

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History

Start page

2825

End page

2828

Total pages

4

Outlet

Proceedings of the 46th International Conference on Very Large Data Bases (VLDB 2020)

Name of conference

VLDB 2020

Publisher

VLDB Endowment

Place published

New York, United States

Start date

2020-08-31

End date

2020-09-04

Language

English

Copyright

© Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International License.

Former Identifier

2006102052

Esploro creation date

2020-10-28

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