Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Chao-Yung Hsu"'
Autor:
Chao-Yung Hsu, 許朝詠
100
With the advances in mobile device and cloud computing technologies, cloud computing provider focuses on providing various multimedia applications as services to mobile device users. The new type of multimedia application is changing people
With the advances in mobile device and cloud computing technologies, cloud computing provider focuses on providing various multimedia applications as services to mobile device users. The new type of multimedia application is changing people
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/94674894203200988782
Autor:
Chao-Yung Hsu, 許朝陽
97
Various user authentication schemes with smart card have been proposed. The generality of researchers implicitly assumes that the contents of a smart card cannot be revealed. However, it is not true. An attacker can analyze the leaked informa
Various user authentication schemes with smart card have been proposed. The generality of researchers implicitly assumes that the contents of a smart card cannot be revealed. However, it is not true. An attacker can analyze the leaked informa
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/46545929355370033654
Autor:
CHAO-YUNG HSU, 許詔墉
94
The studies of participants’ ability or condition was conforming to the requirements of leisure activities on ‘fit of leisure participants and leisure activities’ were still rare. In 1995, Melamed, Meir and Samon had advocated a very si
The studies of participants’ ability or condition was conforming to the requirements of leisure activities on ‘fit of leisure participants and leisure activities’ were still rare. In 1995, Melamed, Meir and Samon had advocated a very si
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/35746847396936700805
Surface defects are a common issue that affects product quality in the industrial manufacturing process. Many companies put a lot of effort into developing automated inspection systems to handle this issue. In this work, we propose a novel deep learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b145ceed03befb97409901357d15c4c
https://doi.org/10.21203/rs.3.rs-2168176/v1
https://doi.org/10.21203/rs.3.rs-2168176/v1
Publikováno v:
ICCE-TW
Focusing on the task of steel surface defect localization, this study employs the latest state-of-the-art RCNN family, Cascade RCNN, on top of the current FPN model called DetectoRS-ResNeXt. The baseline was tested individually using Side Aware Bound
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb8d72dfb8a37d903d6edb48cdf2901a
https://doi.org/10.1109/icce-tw52618.2021.9603063
https://doi.org/10.1109/icce-tw52618.2021.9603063
Autor:
Ching-Yuan Yang, Chao-Yung Hsu, Hui-Fuang Ng, Cheng-Hsun Chen, Chih-Yang Lin, Fityanul Akhyar
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030204532
AHFE (14)
AHFE (14)
Steel is the most important material in the world of engineering and construction. Modern steelmaking relies on computer vision technologies, like optical cameras to monitor the production and manufacturing processes, which helps companies improve pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::919e11fa9cd051c001eb9f6a31706a01
https://doi.org/10.1007/978-3-030-20454-9_20
https://doi.org/10.1007/978-3-030-20454-9_20
Publikováno v:
Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing ISBN: 9783030037475
To achieve smart manufacturing in Industry 4.0 for steel industry (or Steel 4.0), this paper proposes a smart steel manufacturing framework, where a deep learning-based automatic identification tracking method for steel products is developed. Automat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0a158c5b464f675e33360bedba456bc
https://doi.org/10.1007/978-3-030-03748-2_39
https://doi.org/10.1007/978-3-030-03748-2_39
Publikováno v:
Advances in Physical Ergonomics & Human Factors ISBN: 9783319944838
Surface defects detection plays a significant role in quality enhancement in steel manufacturing. However, manual inspection of steel surface slows down the entire manufacturing process and is time consuming. Currently, many methods have been propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d8fa0979d7dfe121b29d2af9dc4554c
https://doi.org/10.1007/978-3-319-94484-5_15
https://doi.org/10.1007/978-3-319-94484-5_15
Publikováno v:
2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW).
Fish-eye lenses are common in several computer vision applications, such as four-camera surround view driver assistance, where a very wide angle (e.g., 180 degrees) of view is available. Nevertheless, their applicability is usually limited by the lac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f010bed526d84116decbfdb8413e702
https://doi.org/10.1109/icce-china.2018.8448987
https://doi.org/10.1109/icce-china.2018.8448987
Autor:
Chao-Yung Hsu, Ru-Hong Fu, Hsin-Yi Lin, Ming-Fang Weng, Li-Wei Kang, Duan-Yu Chen, Chih-Yang Lin
Publikováno v:
Web of Science
To achieve smart manufacturing in Industry 4.0 for steel industry, a smart steel manufacturing framework is considered in this paper, where an automatic identification tracking method for steel products is developed. Existing approaches usually rely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4595f064851941910fa288d29562ddf
https://doi.org/10.1109/icasi.2018.8394552
https://doi.org/10.1109/icasi.2018.8394552