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Qing Peng Wang

dblp:83/6716 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Network performance modeling › performance prediction
delay prediction
0.012001
The Control Oriented QoS: analysis and prediction · ICRA 2001
Internet of things and sensor networks › cyber-physical systems
networked control
0.012001
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
YearPublicationVenuePosition
2001 The Control Oriented QoS: analysis and prediction
abstract
Now 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
ICRA1