Demo Data from EDBT 2026 / reviewers in the wild / expert
Yan-Hau Huang
dblp:25/6334
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 50% Parallel and multicore computing · 25% Performance modeling and evaluation · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems › discrete event systems
discrete-event system modeling |
0.0 | 1 | 1998 | Dynamic Scheduling of Elevator System Over Hybrid Petri Net 1 Rule Modeling · ICRA 1998 |
Parallel and multicore computing › task scheduling
dynamic scheduling |
0.0 | 1 | 1998 | Dynamic Scheduling of Elevator System Over Hybrid Petri Net 1 Rule Modeling · ICRA 1998 |
Performance modeling and evaluation
petri net modeling |
0.0 | 1 | 1998 | Dynamic Scheduling of Elevator System Over Hybrid Petri Net 1 Rule Modeling · ICRA 1998 |
Embedded and real-time systems
real-time scheduling |
0.0 | 1 | 1998 | Dynamic Scheduling of Elevator System Over Hybrid Petri Net 1 Rule Modeling · ICRA 1998 |
Methods — techniques the papers use, named apart from their topics
timed place petri-net · 0.0control places · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Dynamic Scheduling of Elevator System Over Hybrid Petri Net 1 Rule ModelingabstractA hybrid model of a multiple elevator system is proposed, consisting of a timed place Petri net (TPPN) model and a set of control rules implemented via the so-called control places in the TPPN model. The Petri net model is a highly modulized structure, whose constituent modules can be classified into four types: basic movement module, loading/unloading module, direction reversing module, and call management module. The whole complete model is a combination of the copies of the above four modules. Since the firing sequences of the TPPN equate the evolution of the modeled system, they can be regarded as a schedule. A dynamic scheduling strategy is proposed to obtain the desirable schedule. A new concept of control places is also introduced in the proposed model so as to make the modeling more precise and to reduce the reachability graph more efficiently. To show the feasibility of the proposed method, an emulator of the elevator system is constructed for demonstration. Yan-Hau Huang, Li-Chen Fu |
ICRA | 1 |