Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jyun-Wei Li"'
Publikováno v:
IEEE Photonics Journal, Vol 13, Iss 1, Pp 1-9 (2021)
This paper proposes a new fiber Bragg grating central wavelength interrogation system by combining evolutionary algorithm and machine learning techniques integrated with an unsupervised autoencoder (AE) pre-training strategy. The proposed unsupervise
Externí odkaz:
https://doaj.org/article/053a24d947ec4fdebd423d30a94299b9
Autor:
Run-Kai Shiu, You-Wei Chen, Peng-Chun Peng, Shang-Jen Su, Guan-Ming Shao, Justin Chiu, Jyun-Wei Li, Gee-Kung Chang
Publikováno v:
IEEE Photonics Journal, Vol 12, Iss 3, Pp 1-8 (2020)
A simplified and cost-effective architecture is proposed and experimentally demonstrated with a millimeter wave (MMW) signal over fiber and free-space wireless transmission. The distributed feedback (DFB) laser is operated in optimized settings after
Externí odkaz:
https://doaj.org/article/984a1ee19d1e4461a706adcc0bf07434
Autor:
Amare-Mulatie Dehnaw, Run-Kai Shiu, Ruei-Bin Chen, Jyun-Wei Li, Yibeltal-Chanie Manie, Hsing-Chih Liang, Peng-Chun Peng
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9553 (2021)
The radio-over-fiber (RoF) technique has gained a lot of interest recently, as the millimeter-wave signals can be generated and delivered in the optical domain with the advantages of low attenuation, high capacity, and being free from electromagnetic
Externí odkaz:
https://doaj.org/article/679eb2e778fd4645984d30b1fe6c0071
Publikováno v:
Sensors, Vol 20, Iss 4, p 1070 (2020)
In this paper, for an intensity wavelength division multiplexing (IWDM)-based multipoint fiber Bragg grating (FBG) sensor network, an effective strain sensing signal measurement method, called a long short-term memory (LSTM) machine learning algorith
Externí odkaz:
https://doaj.org/article/6a60818a9b8e4b9cb2644edf75c68df5
Autor:
Jyun-Wei Li, 李竣煒
103
This study mainly focuses on developing an automatic pulse charging and discharging system. A Taguchi Method is used to estimate the effects of battery charging capacity corresponding to four parameters: temperature, pulse charging current,
This study mainly focuses on developing an automatic pulse charging and discharging system. A Taguchi Method is used to estimate the effects of battery charging capacity corresponding to four parameters: temperature, pulse charging current,
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/02202187140414604574
Autor:
Jyun-Wei Li, 李俊緯
97
For most enterprises, the main purpose of implementing the after-sales service is to promote customer satisfaction in order to maintain the long-term relationship; it contributes to the enhancement of consumer loyalty, the increase of intent
For most enterprises, the main purpose of implementing the after-sales service is to promote customer satisfaction in order to maintain the long-term relationship; it contributes to the enhancement of consumer loyalty, the increase of intent
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/19542262159533006552
Publikováno v:
IEEE Photonics Journal, Vol 13, Iss 1, Pp 1-9 (2021)
This paper proposes a new fiber Bragg grating central wavelength interrogation system by combining evolutionary algorithm and machine learning techniques integrated with an unsupervised autoencoder (AE) pre-training strategy. The proposed unsupervise
Publikováno v:
Optics letters. 47(8)
Reinforcement learning (RL) is applied to improve the performance of the polarization modulator (PolM)-based W-band radio-over-fiber (RoF) system in this Letter. By controlling the polarization angle of the dual-wavelength laser source in the PolM-ba
Autor:
Run-Kai Shiu, Qi Zhou, Gee-Kung Chang, Shuyi Shen, Jyun-Wei Li, Justin Chiu, You-Wei Chen, Peng-Chun Peng, Tsu-Lin Chang
Publikováno v:
Journal of Lightwave Technology. 38:5302-5310
Machine learning technique is employed to design a microwave photonic filter (MPF) consisting of an optical comb generator and a phase modulator (PM), to realize centralized management of radio signal delivery in optical networks. The proposed comb g
Publikováno v:
WOCC
This paper presents a new method based on the neural network for predicting the absorption of the THz Graphene-based metasurface structure and inversely designing the structure based on desired absorption spectrum. the absorption spectra have been co