Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Huaiqing Zhang"'
Autor:
Hongtian Song, Yong Xiao, Shanshan Hu, Dongping Xiao, BaoShuai Wang, Zhuxin Shi, Huaiqing Zhang
Publikováno v:
IET Energy Systems Integration, Vol 6, Iss 2, Pp 174-181 (2024)
Abstract Super low frequency electric field measurements are crucial in analysing electromagnetic compatibility, assessing equipment status, and other related fields. Rydberg atom‐based super low frequency electric field measurements are performed
Externí odkaz:
https://doaj.org/article/051f8920830946e5a9ad831556842c32
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103938- (2024)
Deep learning, which has exhibited considerable potential and effectiveness in forest resource assessment, is vital for comprehending and managing forest resources and ecosystems. However, extensive assessment of forest resources is highly challengin
Externí odkaz:
https://doaj.org/article/5968eaf74db949c0b1dec1ace70cd59d
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Introduction: Rydberg atoms are ideal for measuring electric fields due to their unique physical properties. However, low-frequency electric fields below MHz can be challenging due to the accumulation of ionized free electrons on the atomic vapor cel
Externí odkaz:
https://doaj.org/article/47b189df5efb43898a573af94c66d17f
Publikováno v:
IEEE Access, Vol 12, Pp 107219-107231 (2024)
Predicting the wideband radiation of the high-power interconnection cable network within the system is necessary for the electromagnetic compatibility design verification of power electronic systems, and it is urgent to accurately model and analyze i
Externí odkaz:
https://doaj.org/article/7af624be88e148a1b55b612dfccab22f
Autor:
Linlong Wang, Huaiqing Zhang, Kexin Lei, Tingdong Yang, Jing Zhang, Zeyu Cui, Rurao Fu, Hongyan Yu, Baowei Zhao, Xianyin Wang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3471-3488 (2024)
Current visual methods of forest dynamic growth mostly focus on the plot or stand level, which cannot express the morphological and structural characteristics of individual trees, as well as their statistical linkages, and causes each tree in the sta
Externí odkaz:
https://doaj.org/article/40c8e38aa1d5433389c094e23d87db3d
Publikováno v:
Ecological Indicators, Vol 160, Iss , Pp 111923- (2024)
Whereas the current complex diversity in Chinese terrestrial ecosystems and the significant differences in net ecosystem productivity (NEP) among various regions, as well as the temporal effect between vegetation and climate factors, the NEP in Chine
Externí odkaz:
https://doaj.org/article/3d9a15a8423942ca967213d1e8dd4030
Autor:
Zhao Chen, Dianchang Wang, Feixiang Zhao, Lingnan Dai, Xinrong Zhao, Xian Jiang, Huaiqing Zhang
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6382 (2024)
Simulating animal movement has long been a central focus of study in the area of wildlife behaviour studies. Conventional modelling methods have difficulties in accurately representing changes over time and space in the data, and they generally do no
Externí odkaz:
https://doaj.org/article/5aaff1a7398e4cc8a23c16822b012132
Publikováno v:
IET Microwaves, Antennas & Propagation, Vol 17, Iss 8, Pp 604-613 (2023)
Abstract In the microwave wireless power transmission (MWPT) system, to improve the beam collection efficiency (BCE) and decrease the impact of microwave on the ecological environment outside the receiving area, it is necessary to optimise the beam p
Externí odkaz:
https://doaj.org/article/bb749211a1eb4e16bb8044e1667e47d7
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 335 (2024)
Achieving the accurate and efficient monitoring of forests at the tree level can provide detailed information for precise and scientific forest management. However, the detection of individual trees under planted forests characterized by dense distri
Externí odkaz:
https://doaj.org/article/39501f64d65d4f348caab78ed51e625f
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5653 (2023)
Accurate forest biomass estimation serves as the foundation of forest management and holds critical significance for a comprehensive understanding of forest carbon storage and balance. This study aimed to integrate Landsat 8 OLI and Sentinel-1A SAR s
Externí odkaz:
https://doaj.org/article/bf5058856e4448df88bda6e22adf1933