Demo Data from VLDB 2026 / reviewers in the wild / expert
Licheng Cai
dblp:33/2638
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Multi-agent systems · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Smart cities and intelligent transportation · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems › real-time communication
real-time communication protocol |
0.0 | 1 | 2008 | Road Intersections as Pervasive Computing Environments: Towards a Multiagent Real-Time Collision Warning System · PerCom 2008 |
Methods — techniques the papers use, named apart from their topics
real-time protocol · 0.2multi-agent system · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Road Intersections as Pervasive Computing Environments: Towards a Multiagent Real-Time Collision Warning SystemabstractEmbedded with sensors and appropriate computational entities, a road intersection can be viewed as a pervasive computing environment. The crash rate in road intersections demonstrates the need for a fast and accurate collision detection system. We suggest that an intersection collision detection system should be able to adapt to different types of intersections for faster collision detection. Moreover, a real-time application-level communication protocol to warn affected drivers is required. An intersection agent that takes vehicular status information from vehicle agents and learns, detects and warns collisions at a road intersection is proposed. The issues, challenges, and cost of a multiagent collision avoidance system are discussed. A communication protocol that is designed specifically with intersection safety in mind is presented here. Flora D. Salim, Licheng Cai, Maria Indrawan, Seng W. Loke |
PerCom | 2 |