Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Amare Mulatie Dehnaw"'
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 6933 (2024)
This work demonstrates the use of an erbium-doped fiber amplifier (EDFA), a tunable bandpass filter (TBF), and a tunable delay line interferometer (TDLI) to form a ring laser that produces multi-format, multi-wavelength laser beams. The TDLI serves a
Externí odkaz:
https://doaj.org/article/7db5b3be84d24c899948e8dad6eb242e
Autor:
Minyechil Alehegn Tefera, Amare Mulatie Dehnaw, Yibeltal Chanie Manie, Cheng-Kai Yao, Shegaw Demessie Bogale, Peng-Chun Peng
Publikováno v:
Future Internet, Vol 16, Iss 8, p 280 (2024)
This study introduces a novel meta-learning method to enhance diabetes detection using wearable sensor systems in smart health applications. Wearable sensor technology often needs to operate accurately across a wide range of users, each characterized
Externí odkaz:
https://doaj.org/article/c3c6560989fe4665a46cecb239843963
Autor:
Mentari Putri Jati, Muhammad Irfan Luthfi, Cheng-Kai Yao, Amare Mulatie Dehnaw, Yibeltal Chanie Manie, Peng-Chun Peng
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2855 (2024)
This study proposes the utilization of an optical fiber vibration sensor for detecting the superposition of extremely close frequencies in vibration signals. Integration of deep neural networks (DNN) proves to be meaningful and efficient, eliminating
Externí odkaz:
https://doaj.org/article/eaade73acb084dfca23f30f81c992a39
Autor:
Amare Mulatie Dehnaw, Yibeltal Chanie Manie, Li-Yuan Du, Cheng-Kai Yao, Jun-Wei Jiang, Bing-Xian Liu, Peng-Chun Peng
Publikováno v:
Sensors, Vol 23, Iss 20, p 8434 (2023)
This paper introduces a new bidirectional integration approach that combines fiber sensor/free space optics (FSO) communication using an intensity and wavelength division multiplexer (IWDM) techniques-based long-distance fiber Bragg grating (FBG) sen
Externí odkaz:
https://doaj.org/article/637f323f17ad40f09b8a7faada7588b9
Autor:
Amare Mulatie Dehnaw, Yibeltal Chanie Manie, Ya Yu Chen, Po Han Chiu, Hung Wei Huang, Guan Wei Chen, Peng Chun Peng
Publikováno v:
Sensors, Vol 20, Iss 24, p 7355 (2020)
The focus of this paper was designing and demonstrating bus structure FBG sensor networks using intensity wavelength division multiplexing (IWDM) techniques and a gated recurrent unit (GRU) algorithm to increase the capability of multiplexing and the
Externí odkaz:
https://doaj.org/article/9a7caa8271154b3989dabb2eaa8c3242
Autor:
Amare Mulatie Dehnaw, Yibeltal Chanie Manie, Li-Yuan Du, Cheng-Kai Yao, You-Lin Li, Stotaw Talbachew Hayle, Peng-Chun Peng
Publikováno v:
Journal of Lightwave Technology. :1-9
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:
ICCE-TW
In this paper, we proposed multilayer perceptron (MLP) neural network for improving the performance of a microwave photonic filter (MPF). Moreover, we proposed an optical comb generator to attain a central reconfigurable MPF. The frequency response o
Publikováno v:
ICCE-TW
Accurately sensing signal detection using fiber Bragg grating (FBG) sensors is crucial for object's controlling in industry, aircraft manufacturing, and health care center of the Internet of Things (IoT) application. In this paper, we suggest and dem
Autor:
Stotaw Talbachew Hayle, Amare Mulatie Dehnaw, Hsing-Chin Liang, Yuan-Ta Hsu, Y. C. Manie, Peng-Chun Peng, Jyun-Wei Li
Publikováno v:
Optics Communications. 499:127286
In this paper, we proposed and designed reliable self-healing fiber Bragg grating (FBG) sensor network for improvement of multipoint strain sensing. We use an optical switch (OSW) to reconfigure the sensor network and improve the self-healing functio