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Chaosheng Zheng, Dengcheng Liu and Hongbo Huang
The numerical simulation of propeller cavitation benchmark tests of YUPENG ship model is studied based on OpenFOAM, an open-source CFD (Computational Fluid Dynamics) platform, and the benchmark tests are introduced as well. The propeller cavitation shape...
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Ye Xiao, Yupeng Hu, Jizhao Liu, Yi Xiao and Qianzhen Liu
Ship trajectory prediction is essential for ensuring safe route planning and to have advanced warning of the dangers at sea. With the development of deep learning, most of the current research has explored advanced prediction methods based on historical ...
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Guohui Xu, Shiqing Sun, Yupeng Ren, Meng Li and Zhiyuan Chen
Turbidity currents are important carriers for transporting terrestrial sediment into the deep sea, facilitating the transfer of matter and energy between land and the deep sea. Previous studies have suggested that turbidity currents can exhibit high velo...
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Boyang Sun, Yupeng Mei, Ni Yan and Yingyi Chen
Due to light absorption and scattering underwater images suffer from low contrast, color distortion, blurred details, and uneven illumination, which affect underwater vision tasks and research. Therefore, underwater image enhancement is of great signific...
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Hongxia Li, Tianyang Yang, Xuewen Guo, Yupeng Wu, Jun Yan and Qingzhen Lu
Deep-water flexible composite pipes have been widely employed in the domain of deep-water oil and gas transportation, and high-density polyethylene (HDPE) is used to seal the inner sheath of internal oil and gas media containing H2S and CH4, due to its f...
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Yupeng Yuan, Xiaoyu Wang, Liang Tong, Rui Yang and Boyang Shen
Various measures have been taken to improve ship energy efficiency while decreasing CO2 emissions. In this work, the navigation environment between Wuhan and Shanghai in China has been classified based on an improved K-means algorithm in order to realize...
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Xinyu Jia, Xueqin Jiang, Zhiyong Li, Jiong Mu, Yuchao Wang and Yupeng Niu
The occurrence of pests at high frequencies has been identified as a major cause of reduced citrus yields, and early detection and prevention are of great significance to pest control. At present, studies related to citrus pest identification using deep ...
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Yupeng Lu, Zhu Gao, Jipeng Mao, Mengfei Lin, Xuchen Gong and Xiaoling Wang
The aim of this study was to reveal the decomposition differences of kiwifruit litters with different qualities and verify the ?Initial Litter Quality Hypothesis?. This study took litters of ?Jinkui? and ?Hort-16A? kiwifruit as the research objects, and ...
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Xiaoxia Zheng, Bohan He, Yu Zou, Qiao Yang, Yupeng Cao, Zhiqiang Li and Yaokun Han
It is well-established that the honeycomb sandwich composite structures are easily prone to damage under low-energy impact. Consequently, it would lead to a dramatic decrease in structural load-bearing capacity and a threat to overall safety. Both experi...
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Simin Gao, Hexia Huang, Yupeng Meng, Huijun Tan, Mengying Liu and Kun Guo
In this paper, a novel flow perturbation model meant to investigate the effects of incoming wind shear on a hypersonic inlet/isolator is presented. This research focuses on the transient shock/boundary layer interaction and shock train flow evolution in ...
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Ye Dai, Chaofang Xiang, Yuan Zhang, Yupeng Jiang, Wenyin Qu and Qihao Zhang
With space technology development, the spatial robotic arm plays an increasingly important role in space activities. Spatial robotic arms can effectively replace humans to complete in-orbit service tasks. The trajectory planning is the basis of robotic a...
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Yupeng Cao, Jiangwei Cao and Zhiguo Zhou
Due to sensor characteristics, geographical environment, electromagnetic interference, electromagnetic silence, information countermeasures, and other reasons, the phenomenon of track breakages occur in the process of aircraft track data processing. It l...
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Xiaosong Zhao, Lei Zhang, Yixin Cao, Kai Jin and Yupeng Hou
Anomaly detection problems in industrial control systems (ICSs) are always tackled by a network traffic monitoring scheme. However, traffic-based anomaly detection systems may be deceived by anomalous behaviors that mimic normal system activities and fai...
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Zhongwei Liang, Tao Zou, Yupeng Zhang, Jinrui Xiao and Xiaochu Liu
Considering the high quality requirements related to agricultural production, the intelligent prediction of sprinkler drip infiltration quality (SDIQ) of the moisture space distribution in soil fields is an important issue in precision irrigation. The ob...
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Lingyun Zhang, Yupeng Hu and Minghai Li
Intumescent coating is able to provide effective fire protection with both practicality and aesthetics. In this study, expansion performance and thermal physical property experiments are firstly carried out to obtain the basic parameters at different tem...
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Xing Du, Yongfu Sun, Yupeng Song, Zongxiang Xiu and Zhiming Su
A submarine landslide is a well-known geohazard that can cause significant damage to offshore engineering facilities. Most standard predicting and mapping methods require expert knowledge, supervision, and fieldwork. In this research, the main objective ...
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Yupeng Cao, Zhimin Wang, Weidong Shi, Guoran Hua and Ming Qiu
To investigate the surface residual stress hole formation mechanism induced by laser shock peening (LSP) in an E690 high-strength steel sheet and to assign weights to the relevant causes; E690 steel samples were loaded using four laser beams with differe...
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Bing Liu, Yongzhen Zheng, Guiyong Xiao, Chuanzhong Chen and Yupeng Lu
Hopeite (Zn3(PO4)2·4H2O) conversion coating was prepared on pure titanium using mild phosphate chemical conversion technology. In this investigation the effect of post-processing after phosphating was focused on coating microstructure, chemical compositi...
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Jiajia Yuan, Jinyun Guo, Yupeng Niu, Chengcheng Zhu, Zhen Li and Xin Liu
Altimeter waveforms are usually contaminated due to nonmarine surfaces or inhomogeneous sea state conditions. The present work aimed to present how the singular spectrum analysis (SSA) can be used to reduce the noise level in Jason-1 altimeter waveforms ...
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Diya Wang, Yonglin Zhang, Lixin Wu, Yupeng Tai, Haibin Wang, Jun Wang, Fabrice Meriaudeau and Fan Yang
In recent years, the study of deep learning techniques for underwater acoustic channel estimation has gained widespread attention. However, existing neural network channel estimation methods often overfit to training dataset noise levels, leading to dimi...
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