Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Sung Tae Lee"'
Publikováno v:
Discover Nano, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract The need for understanding the low-frequency noise (LFN) of metal oxide semiconductor thin-film transistors (TFTs) is increasing owing to the substantial effects of LFN in various circuit applications. A focal point of inquiry pertains to th
Externí odkaz:
https://doaj.org/article/0019dfcdae4840cd97d7b071382f1251
Publikováno v:
Discover Nano, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract Low-frequency noise (LFN) characteristics of semiconductor devices pose a significant importance for understanding their working principle, particularly concerning material imperfections. Accordingly, substantial research endeavors have focu
Externí odkaz:
https://doaj.org/article/4b0c2718b35f4b8985398f1b7054da42
Autor:
Wonjun Shin, Junsung Byeon, Ryun‐Han Koo, Jungmoon Lim, Jung Hyeon Kang, A‐Rang Jang, Jong‐Ho Lee, Jae‐Joon Kim, SeungNam Cha, Sangyeon Pak, Sung‐Tae Lee
Publikováno v:
Advanced Science, Vol 11, Iss 28, Pp n/a-n/a (2024)
Abstract The pursuit of sub‐1‐nm field‐effect transistor (FET) channels within 3D semiconducting crystals faces challenges due to diminished gate electrostatics and increased charge carrier scattering. 2D semiconductors, exemplified by transiti
Externí odkaz:
https://doaj.org/article/264f0db575dd47b4a7d62d976ea5371d
Autor:
Sung-Tae Lee, Sun-Moon Jung
Publikováno v:
SAGE Open, Vol 14 (2024)
This study addresses the pivotal challenge of transitioning from nuclear to renewable energy sources, considering the distinctive energy landscape of South Korea characterized by high land costs and high dependence on nuclear energy. Amidst global mo
Externí odkaz:
https://doaj.org/article/ddc383c490904d30868a5f0171caa3e1
Autor:
Wonjun Shin, Ji Ye Lee, Ryun‐Han Koo, Jangsaeng Kim, Jong‐Ho Lee, Sang Yeol Lee, Sung‐Tae Lee
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 2, Pp n/a-n/a (2024)
Abstract The presence of low‐frequency noise (LFN) in amorphous oxide semiconductor (AOS) thin‐film transistors (TFTs) is of utmost concern, prompting extensive investigations into the analysis of LFN. However, prior research endeavors have tende
Externí odkaz:
https://doaj.org/article/d5f21a7ab8574cf5b59cd0647d10dbe0
Autor:
Sung-Tae Lee, Sun-Moon Jung
Publikováno v:
SAGE Open, Vol 13 (2023)
Education-job match is known to affect employee job satisfaction, as well as their intention to leave the role. Job satisfaction is a critical part of an employee’s motivation to remain loyal to and employed within a company. However, ICT sector fa
Externí odkaz:
https://doaj.org/article/3d88851f1dfc43b68ac163817e7f1c18
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 9, Pp 1049-1054 (2021)
A novel design method using unsigned input is proposed for a high-density and parallel synaptic string architecture capable of bit-wise operation and bit-counting utilizing NAND flash memory. Though the NAND flash memory has a cell string structure,
Externí odkaz:
https://doaj.org/article/d77a260ec6664266a98cff0c91cac7c1
Publikováno v:
IEEE Access, Vol 8, Pp 153334-153340 (2020)
Recent studies have demonstrated that binary neural networks (BNN) could achieve a satisfying inference accuracy on representative image datasets. BNN conducts XNOR and bit-counting operations instead of high-precision vector-matrix multiplication (V
Externí odkaz:
https://doaj.org/article/09a791ad7eec43b18b6980dc7fa328ed
Publikováno v:
IEEE Access, Vol 8, Pp 114330-114339 (2020)
We propose a novel synaptic architecture based on a NAND flash memory for highly robust and high-density quantized neural networks (QNN) with 4-bit weight and binary neuron activation, for the first time. The proposed synaptic architecture is fully c
Externí odkaz:
https://doaj.org/article/8a12d3427ff5409b817bb10de4eab4b1
Autor:
Sung-Tae Lee, Jong-Ho Bae
Publikováno v:
Micromachines, Vol 13, Iss 11, p 1800 (2022)
Deep learning produces a remarkable performance in various applications such as image classification and speech recognition. However, state-of-the-art deep neural networks require a large number of weights and enormous computation power, which result
Externí odkaz:
https://doaj.org/article/7b4c611087c54926a86314308b458716