Demo Data from EDBT 2026 / reviewers in the wild / expert
Qing Peng Wang
dblp:83/6716
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2001
—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 networks
1 paper |
Network performance modeling · 77% Internet of things and sensor networks · 23% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling › performance prediction
delay prediction |
0.0 | 1 | 2001 | The Control Oriented QoS: analysis and prediction · ICRA 2001 |
Internet of things and sensor networks › cyber-physical systems
networked control |
0.0 | 1 | 2001 | The Control Oriented QoS: analysis and prediction · ICRA 2001 |
Methods — techniques the papers use, named apart from their topics
neural network · 0.0fuzzy inference · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | The Control Oriented QoS: analysis and predictionabstractNow a number of advanced control systems take advantage of networks such as Ethernet, Fieldbus and Internet as their communication channel. Transmission time delay of these networks may lead unstable problems to system. In this paper, the prediction of network delay using neural network is presented first. Then the analysis of the control oriented quality of service (CO-QoS) specially with the Internet-based teleoperation is considered and fuzzy inference is used to construct a quantification of CO-QoS. At last, the simulation results show that this method provides a practical way for the judgment of the network's characteristics. Qing Peng Wang, Dalong Tan, Ning Xi 0001, Yuechao Wang |
ICRA | 1 |