Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Yi-Hsing Chien"'
Publikováno v:
IEEE Access, Vol 11, Pp 25801-25816 (2023)
This paper attempts to use a delta robot’s structure and reliable coordinates to develop a self-learning Chinese calligraphy-writing system that requires precise control. Ideally, to achieve human-like behavior, a delta robot can learn stroke traje
Externí odkaz:
https://doaj.org/article/d492ff1ca08e4b8a8045de77a1a5394b
Publikováno v:
IEEE Access, Vol 10, Pp 117782-117795 (2022)
In this paper, we propose a robotic cognitive system which can learn itself to do a specific assignment by accumulating experiences through bottom-up thinking to make decision by itself via top-down thinking according to the experiences. That is, the
Externí odkaz:
https://doaj.org/article/70502c9d1a524e6f95d3a9ff08ee034d
Publikováno v:
IEEE Access, Vol 8, Pp 87243-87251 (2020)
In recent years, a tremendous amount of effort has been devoted to modeling the cognition of human brain, particularly hypothesis generation process. Most research of the hypothesis generation model is probability-based. However, computation of human
Externí odkaz:
https://doaj.org/article/345df12a66fb4d788d66d0c8937ea41e
Autor:
Yi-Hsing Chien, 簡義興
101
Low-density parity-check (LDPC) code has been shown to provide near-Shannon-limit performance for communication systems. Implementation cost, throughput, and power consumption are the most important issues for all communication design. In th
Low-density parity-check (LDPC) code has been shown to provide near-Shannon-limit performance for communication systems. Implementation cost, throughput, and power consumption are the most important issues for all communication design. In th
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/64850195340982427366
Autor:
Yi-Hsing Chien, 簡宜興
100
This dissertation proposes some novel methods of online modeling and control via the Takagi-Sugeno (T-S) fuzzy-neural model for a class of general nonaffine nonlinear systems with uncertain functions and external disturbances. Although studi
This dissertation proposes some novel methods of online modeling and control via the Takagi-Sugeno (T-S) fuzzy-neural model for a class of general nonaffine nonlinear systems with uncertain functions and external disturbances. Although studi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/d9t2e7
Autor:
Yi-hsing Chien, 簡義興
93
Low-density parity check (LDPC) codes have been shown that it is a strong competitor of Turbo codes. LDPC codes offer excellent coding gain and provide elegant low computation complexity when comparing with Turbo codes. The complex routing na
Low-density parity check (LDPC) codes have been shown that it is a strong competitor of Turbo codes. LDPC codes offer excellent coding gain and provide elegant low computation complexity when comparing with Turbo codes. The complex routing na
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/39835394474626378830
Publikováno v:
International Journal of Fuzzy Systems. 22:1-10
In this paper, we propose a novel architecture that combines the convolutional neural network (CNN) with a fuzzy neural network (FNN). We utilize the fuzzy neural network with semi-connected layers to sum up feature information. During the training p
Publikováno v:
IEEE Access, Vol 8, Pp 87243-87251 (2020)
In recent years, a tremendous amount of effort has been devoted to modeling the cognition of human brain, particularly hypothesis generation process. Most research of the hypothesis generation model is probability-based. However, computation of human
Autor:
Chiang Heng Chien, Yin Tien Wang, Chen-Chien Hsu, Wei-Yen Wang, Cheng Kai Yang, Yi Hsing Chien
Publikováno v:
Engineering Computations. 34:1217-1239
Purpose FastSLAM is a popular method to solve the problem of simultaneous localization and mapping (SLAM). However, when the number of landmarks present in real environments increases, there are excessive comparisons of the measurement with all the e
Publikováno v:
2019 International Conference on System Science and Engineering (ICSSE).
This study proposes a multi-modal perception approach to make a robotic arm perform flexible automation and further simplify the complicated coding process of controlling a robotic arm. The depth camera is utilized for detect face and hand gesture fo