Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Ivan Wu"'
Publikováno v:
Sensors, Vol 23, Iss 23, p 9604 (2023)
Gaze is a significant behavioral characteristic that can be used to reflect a person’s attention. In recent years, there has been a growing interest in estimating gaze from facial videos. However, gaze estimation remains a challenging problem due t
Externí odkaz:
https://doaj.org/article/259982f297f2416e8b5df56e5d34f21c
94
“People” was rarely taken into consideration in “classical” technology transfer literature. This study combines “classical” technology transfer with organization climate and constructs the key success factors and the success crite
“People” was rarely taken into consideration in “classical” technology transfer literature. This study combines “classical” technology transfer with organization climate and constructs the key success factors and the success crite
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/45871581017800939083
Akademický článek
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Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Autor:
Zhenjie Guo, Zichuan Xu, Wenzheng Xu, Weigang Wu, Jian Peng, Bing Guo, Yue Ivan Wu, Weifa Liang
Publikováno v:
IEEE Internet of Things Journal. 8:512-527
Energy harvesting rates of sensors in renewable (e.g., solar energy) wireless sensor networks are not only lower than their energy consumption rates but also temporally varying. Existing studies exploited spatial data correlations among sensors to re
Autor:
Gerald Pacaba Arada, Yue Ivan Wu, Kainam Thomas Wong, Wai‐Yip Tam, Salman Khan, Caleb J. Fulton
Publikováno v:
Radio Science. 57
Autor:
Yue Ivan Wu, Kainam Thomas Wong
Publikováno v:
Circuits, Systems, and Signal Processing. 40:1802-1817
This paper proposes a new data-dependent beamforming strategy to adaptively maximize the output power, while nulling preset directions-of-arrival. This new beamformer needs no iterative computation and needs no prior information of the signals-of-int
Publikováno v:
The Journal of the Acoustical Society of America. 147:3209-3220
The linear array's one-dimensional spatial geometry is simple but suffices for univariate direction finding, i.e., is adequate for the estimation of an incident source's direction-of-arrival relative to the linear array axis. However, this nominal on
Directional sensors, if collocated but perpendicularly oriented among themselves, would facilitate signal processing to uncouple the azimuth-polar direction from the time-frequency dimension-in addition to the physical advantage of spatial compactnes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0000ed8ff7234ed068e9861863e9cc71
https://hdl.handle.net/10356/161189
https://hdl.handle.net/10356/161189
Autor:
Yuan Zhang, Yue Ivan Wu
Publikováno v:
IEEE Access, Vol 7, Pp 173626-173635 (2019)
Simultaneously locating multiple sources passively in the wireless sensor networks (WSN) is challenging in the internet of things (IoT) applications, where reducing the computation and communication load is of great importance due to the requirement