Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zhongkang Hu"'
Publikováno v:
IEEE Access, Vol 7, Pp 123453-123462 (2019)
Defect detection on solid wood surface has two main problems: (1) the real-time performance of the available methods are poor despite good detection accuracy, and (2) the defect extraction process is complicated. Here, we propose a mixed, fully convo
Externí odkaz:
https://doaj.org/article/e447d2d8b36c4bad8fad04dfa4353e02
Publikováno v:
Forests, Vol 12, Iss 10, p 1419 (2021)
Due to the lack of forest resources in China and the low detection efficiency of wood surface defects, the output of solid wood panels is not high. Therefore, this paper proposes a method for detecting surface defects of solid wood panels based on a
Externí odkaz:
https://doaj.org/article/5a38141442ef4af3b8407d0444019b37
Publikováno v:
Applied Sciences, Vol 10, Iss 21, p 7488 (2020)
The deep learning feature extraction method and extreme learning machine (ELM) classification method are combined to establish a depth extreme learning machine model for wood image defect detection. The convolution neural network (CNN) algorithm alon
Externí odkaz:
https://doaj.org/article/1e407ed1b13a421eb5f0c0c459a09822
Publikováno v:
Sensors, Vol 20, Iss 4, p 1057 (2020)
An expansion joint is mainly composed of bellows and other components; it is attached on a container shell or pipe to compensate for the additional stress caused by temperature differences and mechanical vibrations. In China, the expansion joint fati
Externí odkaz:
https://doaj.org/article/6b3a2df4147c417886159f10010b7fe4
Publikováno v:
IEEE Access, Vol 7, Pp 123453-123462 (2019)
Defect detection on solid wood surface has two main problems: (1) the real-time performance of the available methods are poor despite good detection accuracy, and (2) the defect extraction process is complicated. Here, we propose a mixed, fully convo
Publikováno v:
Sensors
Volume 20
Issue 4
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4, p 1057 (2020)
Volume 20
Issue 4
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4, p 1057 (2020)
An expansion joint is mainly composed of bellows and other components
it is attached on a container shell or pipe to compensate for the additional stress caused by temperature differences and mechanical vibrations. In China, the expansion joint
it is attached on a container shell or pipe to compensate for the additional stress caused by temperature differences and mechanical vibrations. In China, the expansion joint
Publikováno v:
Forests
Volume 12
Issue 10
Forests, Vol 12, Iss 1419, p 1419 (2021)
Volume 12
Issue 10
Forests, Vol 12, Iss 1419, p 1419 (2021)
Due to the lack of forest resources in China and the low detection efficiency of wood surface defects, the output of solid wood panels is not high. Therefore, this paper proposes a method for detecting surface defects of solid wood panels based on a
Publikováno v:
Applied Sciences, Vol 10, Iss 7488, p 7488 (2020)
Applied Sciences
Volume 10
Issue 21
Applied Sciences
Volume 10
Issue 21
The deep learning feature extraction method and extreme learning machine (ELM) classification method are combined to establish a depth extreme learning machine model for wood image defect detection. The convolution neural network (CNN) algorithm alon
Application of deep convolutional neural network on feature extraction and detection of wood defects
Publikováno v:
Measurement. 152:107357
The artificial extraction of features from wood images via a conventional method is complex. Therefore, we proposed a learning method to detect wood features and automatically classify defects from wood images that were collected using a laser scanne
Autor:
Dianlang Wang, Guogen Li, Long Jiang, Xiaowei Yang, Tianman Pi, Zhongkang Huang, Dong Li, Jie Zhang, Xiangyu Yaoi, Rongyu Su, Lihui Zhang
Publikováno v:
The Journal of Engineering (2018)
High-voltage DC arrester is one of the key equipment for overvoltage protection of ultra-high voltage DC (UHVDC) transmission system. This device plays a decisive role in the insulation level of the whole process. The current distribution between res
Externí odkaz:
https://doaj.org/article/7fc0e39110b14ffbbc64f1d3e6f356c9