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Profil bibliographique

Hefeng Dong

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

97Publications signalées
928Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Underwater Vehicles and Communication SystemsUnderwater Acoustics ResearchIndoor and Outdoor Localization TechnologiesSeismic Waves and AnalysisSeismic Imaging and Inversion Techniques

Les publications récentes

2025 article OpenAlex

Distributed acoustic sensing in ground improvement by dry deep mixing

Sølve Hov, Andrew Trafford, Robin André Rørstadbotnen, Hefeng Dong et autres

This paper presents a full-scale field trial where distributed acoustic sensing (DAS) was explored as a novel technology to assess the quality of dry deep mixed columns, both for downhole testing and for surface wave testing. Optical fibres were installed vertically in …

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1 citation Proceedings of the Institution of Civil Engineers - Ground Improvement
2025 article OpenAlex

Resolving acoustic azimuth using an accelerometer‐based underwater acoustic vector sensor

Guosong Zhang, Hefeng Dong, Alessandro Cresci, Howard I. Browman et autres

Abstract The performance of a single commercial accelerometer‐based underwater acoustic vector sensor (AVS) in resolving acoustic azimuth was evaluated. The method involves calculating the active intensity of an acoustic signal to determine the dominant directionality of an acoustic pressure field as a …

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0 citations Limnology and Oceanography Methods
Accès ouvert 2024 article OpenAlex

Numerical Study of Internal Flow Field in a Disc Stack Centrifuge Based on Mixture-PBM Model

Hefeng Dong, Ran Wan, Changan Huang, Shoulie Liu et autres

Disc stack centrifuge belongs to one kind of sedimentation centrifuge, widely used in the environmental protection, pharmacy, and chemical industries, etc. The flow process inside the disc stack centrifuge seriously affects the separation efficiency. However, the flow process inside the disc stack …

cn (code pays fourni par la source)

3 citations Applied Sciences
2024 conference-paper OpenAlex

First Demonstration of Underwater Acoustic Communication from Sea to Shore via an Optical Fibre using Distributed Acoustic Sensing

John Robert Potter, Emil Wengle, Robin André Rørstadbotnen, Hefeng Dong

Distributed Acoustic Sensing (DAS) has so far only been used as a passive sensing system at low frequencies. We propose to use DAS as a receiver for compact near-real-time wireless acoustic communication from underwater assets to shore. To achieve a useful bandwidth, …

5 citations
Accès ouvert 2024 article OpenAlex

Study on the Influence of Working Characteristics of Centripetal Pump Based on VOF/Mixture Model

Shoulie Liu, Hefeng Dong, Shaobin Li, Xizhen Song

Aviation fuel contamination can seriously affect aircraft flight safety, and the centripetal pump is the core component of aviation fuel purification equipment. The performance of centripetal pumps is highly demanded for purification equipment. The operating parameters of centripetal pumps significantly affect the …

cn (code pays fourni par la source)

5 citations Processes
Accès ouvert 2024 article OpenAlex

Experimental assessment of a JANUS-based consensus protocol

Emil Wengle, Elias Strandell Erstorp, Viktor Lidström, Damiano Varagnolo et autres

This paper proposes a distributed, JANUS-based protocol that enables an underwater acoustic network to reach consensus on arbitrary local opinions as numeric state variables. An envisioned scenario where nodes shall agree on parameters describing the acoustic environment is used to evaluate the …

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1 citation Computer Networks
Accès ouvert 2024 conference-abstract OpenAlex

Towards a real-time railway monitoring system based on Distributed Acoustic Sensing and a Convolutional Neural Net

Kevin Growe, Anna Tveit, Hefeng Dong, Susann Wienecke et autres

Distributed Acoustic Sensing (DAS) enables cost-efficient retrieval of wavefield information alongside large linear infrastructure elements, such as pipelines, cables or railways. The massive datasets require automated approaches to detect and classify anomalies which can trigger further investigation through an operator, if necessary. …

0 citations
Accès ouvert 2024 conference-paper OpenAlex

Shear Wave Velocity Estimation by Deep Reinforcement Learning: A Case Study

Xiaoyu Zhu, Hefeng Dong

Optimization algorithms used in underwater geoacoustic inversion are time-consuming since they need many iterations to approach a global minimum.An efficient geoacoustic inversion approach based on deep reinforcement learning is proposed to estimate seabed shear wave velocity profiles.The model is built upon the …

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0 citations

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