Zobrazeno 1 - 10
of 3 934
pro vyhledávání: '"Zhang YONGJUN"'
Autor:
LIU Shuai, HE Bin, WANG Tao, LIU Jiamei, CAO Jiawen, WANG Haojie, ZHANG Shuai, LI Kun, LI Ran, ZHANG Yongjun, DOU Xiaodong, WU Zhonghai, CHEN Peng, FENG Chengjun
Publikováno v:
Dizhi lixue xuebao, Vol 30, Iss 2, Pp 314-331 (2024)
Objective On December 18, 2023, an MS 6.2 earthquake occurred in Jishishan County, Gansu Province, China. Coseismic geological hazards induced by the earthquake crucially threatened the safety of personnel and property. Existing research is mainly co
Externí odkaz:
https://doaj.org/article/f3227f95eae34b2798dbc675a7f9d691
Autor:
Cheng Runting, Zhang Yongjun, Li Licheng, Ding Maosheng, Lin Jingchun, Zhang Chunfeng, Han Yongxia
Publikováno v:
中国工程科学, Vol 26, Iss 1, Pp 68-79 (2024)
The carbon peaking and carbon neutralization goals as well as the carbon trading system reforms of the European Union (EU) necessitate the synergy of energy conservation, pollution control, and carbon reduction in China to achieve low- and zero-carbo
Externí odkaz:
https://doaj.org/article/c8dc60a165f248f9aea0f3a9ee6d1c22
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 6, Pp 52-65 (2023)
Microneedles (MN) as a minimally invasive device consisting of a micro-raised array, can penetrate the cuticle to the epidermis and dermis, and which has the advantages of safety, painless, minimally invasive, self-administration and convenience. As
Externí odkaz:
https://doaj.org/article/c9acf8628b6a43339ac66ef1e6edaaad
Autor:
Cheng Runting, Zhang Yongjun, Li Licheng, Ding Maosheng, Deng Wenyang, Chen Haoyong, Lin Jingchun
Publikováno v:
中国工程科学, Vol 25, Iss 2, Pp 89-99 (2023)
A complete electricity market plays a decisive role in the allocation of electricity resources and is key to ensuring active supply-demand interactions between market players and promoting the consumption of renewable energies. Currently, a targeted,
Externí odkaz:
https://doaj.org/article/9feb70d317584d2a88e11a566785c8a7
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 43, Iss 2, Pp 171-179 (2023)
Objective·To study the effect of gasdermin D (GSDMD) inhibitor necrosulfonamide (NSA) on alveolarization arrest in lipopolysaccharide (LPS)-induced bronchopulmonary dysplasia (BPD) newborn rats via inhibiting alveolar epithelial cell pyroptosis.Meth
Externí odkaz:
https://doaj.org/article/1a33f7261e054e1aae3eec0ff38edb26
Autor:
Li Licheng, Cai Zexiang, Tang Wenhu, Zhang Yongjun, Zhang Junbo, Wu Zhigang, Yang Lin, Han Yongxia, Guan Lin
Publikováno v:
中国工程科学, Vol 24, Iss 4, Pp 32-43 (2022)
Building a new power system that adapts to large-scale high-proportion new energy sources and supports the achievement of carbon peaking and carbon neutrality goals is an overall reform measure for the energy and power sectors. Transparent power grid
Externí odkaz:
https://doaj.org/article/94baa6f61937487f9e939a6d13e67fa6
Autor:
Xia, Panwang, Yu, Lei, Wan, Yi, Wu, Qiong, Chen, Peiqi, Zhong, Liheng, Yao, Yongxiang, Wei, Dong, Liu, Xinyi, Ru, Lixiang, Zhang, Yingying, Lao, Jiangwei, Chen, Jingdong, Yang, Ming, Zhang, Yongjun
Cross-View Geo-Localization tackles the problem of image geo-localization in GNSS-denied environments by matching street-view query images with geo-tagged aerial-view reference images. However, existing datasets and methods often assume center-aligne
Externí odkaz:
http://arxiv.org/abs/2412.11529
Terraced field is a significant engineering practice for soil and water conservation (SWC). Terraced field extraction from remotely sensed imagery is the foundation for monitoring and evaluating SWC. This study is the first to propose a novel dual-mo
Externí odkaz:
http://arxiv.org/abs/2411.17088
Real-world applications of stereo matching, such as autonomous driving, place stringent demands on both safety and accuracy. However, learning-based stereo matching methods inherently suffer from the loss of geometric structures in certain feature ch
Externí odkaz:
http://arxiv.org/abs/2411.12426
Publikováno v:
IEEE Robotics and Automation Letters, vol.9, no.12, pp.11881-11888, 2024
Correspondence-based point cloud registration (PCR) plays a key role in robotics and computer vision. However, challenges like sensor noises, object occlusions, and descriptor limitations inevitably result in numerous outliers. RANSAC family is the m
Externí odkaz:
http://arxiv.org/abs/2410.15682