Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hualu Wang"'
Autor:
Hualu Wang, Xiaoyu Zhang, Hou Zhang, Yinfeng Tian, Qingqing Zhang, Xueping Zhang, Shaokang Yang, Min Jia, Hui Pan, Chuanchao Sheng, Xiaohong Yan
Publikováno v:
ACS Applied Materials & Interfaces. 15:11691-11702
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology. 234:1425-1435
To investigate the response of material to cavitation erosion, a comparative work was carried out on three materials, aluminum, copper alloy and titanium. Ultrasonic cavitation erosion was produced as the specimen was submerged in the deionized water
Publikováno v:
2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA).
Publikováno v:
2022 14th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA).
Publikováno v:
Journal of the American Society for Mass Spectrometry. 29:1365-1375
Sensitivity is generally an issue in bioassays of prostaglandins and their synthetic analogs due to their extremely low concentration in vivo. To improve the ionization efficiency of limaprost, an oral prostaglandin E1 (PGE1) synthetic analog, we inv
Autor:
Hualu Wang, Qiuling Wen
Publikováno v:
Symposium Latsis 2019 on Diamond Photonics - Physics, Technologies and Applications.
Ultraviolet laser pulses were used to process grooves on HPHT diamond samples (Element Six). The morphology and size of the grooves treated with different laser processing parameters were evaluated by digital microscope (HiROX, KH-8700) and scanning
Publikováno v:
Journal of Visual Communication and Image Representation. 14:150-183
In this paper, we attempt to provide a comprehensive and high-level review of audio-visual features that can be extracted from the standard compressed domains, such as MPEG-1 and MPEG-2. The paper is motivated by the myriad of active research works i
Autor:
Shih-Fu Chang, Hualu Wang
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 7:615-628
Human faces provide a useful cue in indexing video content. We present a highly efficient system that can rapidly detect human face regions in MPEG video sequences. The underlying algorithm takes the inverse quantized discrete cosine transform (DCT)
Publikováno v:
SPIE Proceedings.
In this paper, we present FaceTrack, a system that detects, tracks, and groups faces from compressed video data. We introduce the face tracking framework based on the Kalman filter and multiple hypothesis techniques. We compare and discuss the effect
Publikováno v:
D-Lib Magazine. 3