Zobrazeno 1 - 10
of 506
pro vyhledávání: '"Hyun-chul Choi"'
Autor:
Ubaid Ullah, Hyun-Chul Choi
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11470 (2024)
Cross-modality understanding is essential for AI to tackle complex tasks that require both deterministic and generative capabilities, such as correlating music and visual art. The existing state-of-the-art methods of audio-visual correlation often re
Externí odkaz:
https://doaj.org/article/be07e9bb6fed4aaeaac0bcffa8d163ae
Publikováno v:
Sensors, Vol 24, Iss 19, p 6180 (2024)
For ultra-high-speed digital transmission, required by 5G/6G communications, ultra-wideband common-mode rejection (CMR) structures with autonomous phase-balancing capability are proposed. Common-mode noise, caused by phase and amplitude unbalances, i
Externí odkaz:
https://doaj.org/article/5e53844941fe4c4f97ba0609bedfeaf8
Autor:
Jeong-Sik Lee, Hyun-Chul Choi
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 4, Pp 102028- (2024)
Compositional scripts like Hangeul (Korean characters) and Chinese characters involve numerous characters, making manual font design labor-intensive and cost-ineffective work. Although many few-shot font generation methods have been introduced, they
Externí odkaz:
https://doaj.org/article/a443b0790e354d7782a2454f9b22f647
Publikováno v:
Sensors, Vol 24, Iss 11, p 3437 (2024)
An efficient design method for a compact and ultra-wideband multi-stage Wilkinson power divider in a parallel stripline (PSL) is proposed. To enhance the frequency bandwidth of the proposed power divider while reducing its size, the isolation branch
Externí odkaz:
https://doaj.org/article/c1f363cf056241978afca3e0da2ff25c
Autor:
Mun-Ju Kim, Jung-Seok Lee, Byung-Cheol Min, Jeong-Sik Choi, Sachin Kumar, Hyun-Chul Choi, Kang-Wook Kim
Publikováno v:
Sensors, Vol 24, Iss 10, p 3233 (2024)
A design method for an ultra-wideband coplanar-stripline-based vertical transition that can be used for ultra-high-speed digital interfaces is proposed. A conventional via structure, based on a differential line (DL), inherently possesses performance
Externí odkaz:
https://doaj.org/article/775b1fa220c34808992bec45d7d29ae4
Autor:
Kyeongrae Cho, Jeong-Sik Lee, Chanyang Park, Hyeok Yun, Hyundong Jang, Seungjoon Eom, Min Sang Park, Hyun-Chul Choi, Rock-Hyun Baek
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 12, Pp n/a-n/a (2023)
Herein, the impact of cross‐temperature on 3D NAND flash memory is modeled by considering adjacent cells using machine learning. The cells comprising NAND flash memory exhibit diverse states and connectivity patterns. To effectively capture this co
Externí odkaz:
https://doaj.org/article/a94ec992d5914f90a1f025fa622e6dd5
Autor:
Jeong-Sik Lee, Hyun-Chul Choi
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101850- (2023)
Early feed-forward neural methods of arbitrary image style transfer utilized the encoded feature map up to its second-order statistics, i.e., mean and variance (or covariance) of the encoded feature map. Recent methods have begun to utilize feature s
Externí odkaz:
https://doaj.org/article/a11e17d9a4b94b36a64ccf0ea46f4d9a
Autor:
Kihoon Nam, Chanyang Park, Hyeok Yun, Jun-Sik Yoon, Hyundong Jang, Kyeongrae Cho, Min Sang Park, Hyun-Chul Choi, Rock-Hyun Baek
Publikováno v:
IEEE Access, Vol 11, Pp 7135-7144 (2023)
A machine learning (ML) method was used to optimize the trap distribution of the charge trap nitride (CTN) to simultaneously improve its performance/reliability (P/R) characteristics, which are tradeoffs in 3-D NAND flash memories. Using an artificia
Externí odkaz:
https://doaj.org/article/3eb69a874bce4bdcbb11a9e92e3efa02
Autor:
Hyeok Yun, Chang-Hyeon An, Hyundong Jang, Kyeongrae Cho, Jeong-Sik Lee, Seungjoon Eom, Choong-Ki Kim, Min-Soo Yoo, Hyun-Chul Choi, Rock-Hyun Baek
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 9, Pp n/a-n/a (2023)
Herein, novel neural network (NN) methods that improve prediction accuracy and reduce output variance of the optimized input in the gradient method for cross‐sectional data are proposed, and the variability evaluation approach of optimized inputs i
Externí odkaz:
https://doaj.org/article/ab5cb2a7ed1c40f0b5d17fbb27fbd5d2
Autor:
Hyundong Jang, Hyeok Yun, Chanyang Park, Kyeongrae Cho, Kihoon Nam, Jun-Sik Yoon, Hyun-Chul Choi, Rock-Hyun Baek
Publikováno v:
IEEE Access, Vol 10, Pp 64408-64419 (2022)
We proposed a neural network (NN) approach that uses two multi-layer perceptron (MLP) NNs an encoder and a decoder to estimate the structural parameter (Spara) of a 14-nm node fully depleted silicon on insulator (FDSOI) field-effect transistor (FET).
Externí odkaz:
https://doaj.org/article/926c9966f6c34017acd794cba131d704