Zobrazeno 1 - 10
of 998
pro vyhledávání: '"ZHANG Junwen"'
Publikováno v:
Guangtongxin yanjiu, Pp 23014301-23014305 (2024)
In 2021, the International Telecommunication Union Telecommunication Standardization Sector (ITU-T) developed the standards of 50 Gbit/s Passive Optical Network (PON). Currently, the equipment manufacturers and operators have completed prototype veri
Externí odkaz:
https://doaj.org/article/9a3491cdaddf4108ba86e0daa185c369
Autor:
ZHANG Junwen, DONG Xukai, CHAI Haitao, YANG Lei, ZHAO Shankun, WANG Qian, LYU Yulei, JIA Lele, BAI Junjie, ZHENG Bo, LI Xiaoming, JING Yanfeng
Publikováno v:
Meitan kexue jishu, Vol 51, Iss 2, Pp 95-105 (2023)
Aimed at the phenomenon of variable overburden spatial structures and complex disaster factors in multi-face mining in a geological anomaly area of a mine, taking the actual geological occurrence conditions and mining technology conditions as the eng
Externí odkaz:
https://doaj.org/article/1ebcce58ae144a31bd8a7924320700f8
Autor:
ZHANG Junwen, YANG Hongxia
Publikováno v:
Meikuang Anquan, Vol 52, Iss 12, Pp 261-264 (2021)
Taking domestic coal mine accidents from 2005 to 2019 as the research object, the number of accidents and the change trend of death toll were analyzed in terms of the number, type, regional characteristics, production background, policy support, tech
Externí odkaz:
https://doaj.org/article/98fc8144e6354e6d8c92b40ed872af0f
Autor:
Sun, Aolong, Xing, Sizhe, Deng, Xuyu, Shen, Ruoyu, Yan, An, Hu, Fangchen, Yuan, Yuqin, Dong, Boyu, Zhao, Junhao, Huang, Ouhan, Li, Ziwei, Shi, Jianyang, Zhou, Yingjun, Shen, Chao, Zhao, Yiheng, Hong, Bingzhou, Chu, Wei, Zhang, Junwen, Cai, Haiwen, Chi, Nan
The escalating demands of compute-intensive applications, including artificial intelligence, urgently necessitate the adoption of sophisticated optical on-chip interconnect technologies to overcome critical bottlenecks in scaling future computing sys
Externí odkaz:
http://arxiv.org/abs/2410.07572
Autor:
Zhang, Junwen, Zhang, Yin
In task-oriented dialogue scenarios, cross-domain zero-shot slot filling plays a vital role in leveraging source domain knowledge to learn a model with high generalization ability in unknown target domain where annotated data is unavailable. However,
Externí odkaz:
http://arxiv.org/abs/2310.09135
We propose and study an efficient photonic CDE method using MZI-based coherent optical matrix multiplication. It improves the compensation performance by about 60% when the tap-length is limited, and only 50% taps of the theoretical value is needed f
Externí odkaz:
http://arxiv.org/abs/2206.10317
Publikováno v:
In Polymer 15 November 2024 313
Publikováno v:
In Engineering Fracture Mechanics 8 November 2024 310