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Huaxiang Wang

dblp:14/2635 · DBLP profile ↗
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6ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0003-1584-6925ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
2 papers
Data mining · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining
clustering
0.222012
An unsupervised grid-based approach for clustering analysis · Sci. China Inf. Sci. 2010
Clustering mechanism for electric tomography imaging · Sci. China Inf. Sci. 2012
Medical and health informatics › medical imaging
electrical impedance tomography
0.112012
Clustering mechanism for electric tomography imaging · Sci. China Inf. Sci. 2012
Medical and health informatics
medical imaging
0.112012
Clustering mechanism for electric tomography imaging · Sci. China Inf. Sci. 2012
Data mining › clustering
grid-based clustering
0.112010
An unsupervised grid-based approach for clustering analysis · Sci. China Inf. Sci. 2010
Data mining › clustering
unsupervised learning
0.012010
An unsupervised grid-based approach for clustering analysis · Sci. China Inf. Sci. 2010

Methods — techniques the papers use, named apart from their topics

clustering · 0.3
YearPublicationVenuePosition
2021 Improvement of signal processing in Coriolis mass flowmeters for gas-liquid two-phase flow
abstract
As an increasingly popular flow metering technology, Coriolis mass flowmeter exhibits high measurement accuracy under single-phase flow condition and is widely used in the industry. However, under complex flow conditions, such as two-phase flow, the measurement accuracy is greatly decreased due to various factors including improper signal processing methods. In this study, three digital signal processing methods—the quadrature demodulation (QD) method, Hilbert method, and sliding discrete time Fourier transform method—are analyzed for their applications in processing sensor signals and providing measurement results under gas-liquid two-phase flow condition. Based on the analysis, specific improvements are applied to each method to deal with the signals under two-phase flow condition. For simulation, sensor signals under single- and two-phase flow conditions are established using a random walk model. The phase difference tracking performances of these three methods are evaluated in the simulation. Based on the digital signal processor, a converter program is implemented on its evaluation board. The converter program is tested under single- and two-phase flow conditions. The improved signal processing methods are evaluated in terms of the measurement accuracy and complexity. The QD algorithm has the best performance under the single-phase flow condition. Under the two-phase flow condition, the QD algorithm performs a little better in terms of the indication error and repeatability than the improved Hilbert algorithm at 160, 250, and 420 kg/h flow points, whereas the Hilbert algorithm outperforms the QD algorithm at the 600 kg/h flow point.
Jiarong Liu, Huaxiang Wang
Frontiers Inf. Technol. Electron. Eng.6
2012 Clustering mechanism for electric tomography imaging
Shihong Yue, Teresa Wu, Lijun Cui, Huaxiang Wang
Sci. China Inf. Sci.4
2010 Outage Bound Analysis in Relay-Assisted Inter-Vehicular Communications
abstract
The paper explores the relay-assisted IVC (inter-vehicular communication) systems with double-Rayleigh fading V2V (vehicle-to-vehicle) links for both APA (access point assisted) and VA (vehicle assisted) schemes. The OPA (optimal power allocation) solutions are derived through maximizing source-to-destination channel capacity assuming amplify-and-forward relaying. Furthermore, the outage performance is discussed and the lower bounds on outage probabilities at medium to high SNRs (signal-to-noise ratios) are presented for both APA and VA systems. Simulations manifest that the outage performance can be improved about 2dB gains through OPA method over EPA (equal power allocation) solution and the lower bounds coincide with the exact outage probabilities well at medium SNRs. These bounds can be used to evaluate the outage performance of the cooperative IVC systems roughly.
Zhaoxun Li, Hanying Hu, Longzhen Jia, Huaxiang Wang
VTC Spring5
2010 An unsupervised grid-based approach for clustering analysis
Shihong Yue, Jeen-Shing Wang, Huaxiang Wang
Sci. China Inf. Sci.4
2010 A new separation measure for improving the effectiveness of validity indices
Shihong Yue, Jeen-Shing Wang, Teresa Wu, Huaxiang Wang
Inf. Sci.4
2008 A general grid-clustering approach
Shihong Yue, Miaomiao Wei, Jeen-Shing Wang, Huaxiang Wang
Pattern Recognit. Lett.4