Zobrazeno 1 - 10
of 509
pro vyhledávání: '"Huang Xinming"'
Influence of decontamination process parameters on ultrasonic decontamination efficiency of pipeline
Autor:
Liu Chengwei, Huang Xinming, Yao Zhimeng, Li Ke, Chen Zhiyuan, Wei Shaochong, Zou Yang, Shi Jingcan, Lu Zhuang, Chen Guoxing
Publikováno v:
E3S Web of Conferences, Vol 528, p 02015 (2024)
Many radioactive pollutants will be deposited inside the nuclear power plant pipelines after long-term service, which will form radioactive hot spots and increase the radiation dose rate level of operators. The ultrasonic decontamination efficiency w
Externí odkaz:
https://doaj.org/article/229a9aba319f4eb1b8b40cc33e8b0165
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 7, Pp 74-80 (2021)
【Background】 Soil and water contamination by heavy metals has become an environmental concern worldwide. In China, wastewater produced from mining or mine-tailings leaching has resulted in heavy metals migrating into downstream water bodies and e
Externí odkaz:
https://doaj.org/article/b6c3d1aa5ad04ff182744a84b8788be5
This paper presents a novel and fast approach for ground plane segmentation in a LiDAR point cloud, specifically optimized for processing speed and hardware efficiency on FPGA hardware platforms. Our approach leverages a channel-based segmentation me
Externí odkaz:
http://arxiv.org/abs/2408.10410
In this study, we propose a novel parallel processing method for point cloud ground segmentation, aimed at the technology evolution from mechanical to solid-state Lidar (SSL). We first benchmark point-based, grid-based, and range image-based ground s
Externí odkaz:
http://arxiv.org/abs/2408.10404
Autor:
Ye, Changqing, Liu, Beige, Cao, Zhe, Han, Lingzhi, Huang, Xinming, Jiang, Min, Liu, Dong, Lin, Qing, Wan, Shitian, Wu, Yusheng, Zhao, Lei, Zhang, Yue, Peng, Xinhua, Zhao, Zhengguo
Magnetic monopole is a well-motivated class of beyond-Standard-Model particles that could provide insights into the long-standing puzzle of the quantization of electric charge. These hypothetical particles are likely to be super heavy ($\sim$10$^{15}
Externí odkaz:
http://arxiv.org/abs/2406.12379
Real-time perception and motion planning are two crucial tasks for autonomous driving. While there are many research works focused on improving the performance of perception and motion planning individually, it is still not clear how a perception err
Externí odkaz:
http://arxiv.org/abs/2305.06966
The Lucas-Kanade (LK) method is a classic iterative homography estimation algorithm for image alignment, but often suffers from poor local optimality especially when image pairs have large distortions. To address this challenge, in this paper we prop
Externí odkaz:
http://arxiv.org/abs/2303.11526
To learn distinguishable patterns, most of recent works in vehicle re-identification (ReID) struggled to redevelop official benchmarks to provide various supervisions, which requires prohibitive human labors. In this paper, we seek to achieve the sim
Externí odkaz:
http://arxiv.org/abs/2303.11169
Point cloud semantic segmentation has attracted attentions due to its robustness to light condition. This makes it an ideal semantic solution for autonomous driving. However, considering the large computation burden and bandwidth demanding of neural
Externí odkaz:
http://arxiv.org/abs/2207.05888
Publikováno v:
In Journal of Financial Markets September 2024 70