Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Changju Yang"'
Autor:
Ha-Eun Yang, Nam-Wook Kim, Hong-Gu Lee, Min-Jee Kim, Wan-Gyu Sang, Changju Yang, Changyeun Mo
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Rice is a staple crop in Asia, with more than 400 million tons consumed annually worldwide. The protein content of rice is a major determinant of its unique structural, physical, and nutritional properties. Chemical analysis, a traditional method for
Externí odkaz:
https://doaj.org/article/b49f6aa0a03f45dcbce0fe21133d6e28
Autor:
Li Jin, Xiaoyuan Zhou, Fang Wang, Xiang Ning, Yujie Wen, Benteng Song, Changju Yang, Di Wu, Xiaokang Ke, Luming Peng
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
The “memory effect” of layered double hydroxides (LDHs) plays a critical role in their applications, yet the details of the mechanism are still under debate. Here authors reveal the nature of the “memory effect” with ex situ and in situ solid
Externí odkaz:
https://doaj.org/article/27120016dc52474d96a99e73db9f3f56
Publikováno v:
Complexity, Vol 2018 (2018)
A novel generic memristor, dubbed the 6-lobe Chua corsage memristor, is proposed with its nonlinear dynamical analysis and physical realization. The proposed corsage memristor contains four asymptotically stable equilibrium points on its complex and
Externí odkaz:
https://doaj.org/article/df535c53c0ca40e3b1e09a652f38e9ba
Publikováno v:
Sensors, Vol 12, Iss 3, Pp 3587-3604 (2012)
A memristor bridge neural circuit which is able to perform signed synaptic weighting was proposed in our previous study, where the synaptic operation was verified via software simulation of the mathematical model of the HP memristor. This study is an
Externí odkaz:
https://doaj.org/article/1272525d48514fe3aabc92dfb324836b
Publikováno v:
Sensors, Vol 18, Iss 1, p 178 (2018)
This paper presents a vision sensor-based solution to the challenging problem of detecting and following trails in highly unstructured natural environments like forests, rural areas and mountains, using a combination of a deep neural network and dyna
Externí odkaz:
https://doaj.org/article/6e276d9ad93846e2bdbf63d112a54105
Publikováno v:
Sensors, Vol 17, Iss 1, p 16 (2016)
A hybrid learning method of a software-based backpropagation learning and a hardware-based RWC learning is proposed for the development of circuit-based neural networks. The backpropagation is known as one of the most efficient learning algorithms. A
Externí odkaz:
https://doaj.org/article/aaa6ecea829d4ec38aefe1627b0489fa
Autor:
Changju Yang, Hyongsuk Kim
Publikováno v:
Sensors, Vol 16, Iss 8, p 1320 (2016)
A linearized programming method of memristor-based neural weights is proposed. Memristor is known as an ideal element to implement a neural synapse due to its embedded functions of analog memory and analog multiplication. Its resistance variation wit
Externí odkaz:
https://doaj.org/article/df8f725a58c2412a97028a1456dabeb2
Autor:
Hee-Seok Ryu, Jin-ho Won, Kyoung-Chul Kim, Youngki Hong, Gookhwan Kim, Kyung-Do Kwon, Changju Yang, Dasom Seo
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 46:2078-2087
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 46:2088-2099
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 27:897-905