IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects
Summary: IMO: a toolbox to simulate and query infected moving objects in SECONDO, enabling end-to-end demos of spread and protection. Infection-aware movement models, isolation/mask measures, and indexing boost demo performance. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jianqiu Xu
- 2. Hua Lu
- 3. Zhifeng Bao
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,372 | Continuous Social Distance Monitoring in Indoor Space | 2022 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,106 | A Demonstration of ST-Hadoop: A MapReduce Framework for Big Spatio-temporal Data | 2017 | VLDB | 5.688703e-05 |
| 6,013 | Ratel: Interactive Analytics for Large Scale Trajectories | 2019 | SIGMOD | 5.2365238e-05 |
| 11,722 | DITA: A Distributed In-Memory Trajectory Analytics System | 2018 | SIGMOD | 4.1905499e-05 |
| 11,737 | TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics | 2018 | VLDB | 4.1905499e-05 |
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