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The Journal of Semiconductor Technology and Science (JSTS) is an international, peer-reviewed, and open-access journal that is published bimonthly.
- Scope: semiconductor processes, devices, circuits, and MEMS.
- Editor-in-Chief: Prof. Woo Young Choi (ECE, Seoul National University)
- Indexed within Science Citation Index Expanded (SCIE), SCOPUS, Korea Citation Index (KCI), and other databases.

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Journal Archive

2023-04

P.89

A Simple Timing-skew Calibration using Flip-flops for Time-interleaved ADCs

(Ji-Hun Lim) ; (Sang-Gyu Park)
https://doi.org/10.5573/JSTS.2023.23.2.89
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P.98

A Low-power DRAM Controller ASIC with a 36% Reduction in Average Active Power by Increasing On-die Termination Resistance

(Won-Cheol Lee) ; (Ho-Jun Kim) ; (Hong-June Park)
https://doi.org/10.5573/JSTS.2023.23.2.98
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P.112

Low Power RF Interface of the Near-field Communications Tag IC for Sensors

(In-Young Lee) ; (Donggu Im)
https://doi.org/10.5573/JSTS.2023.23.2.112
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P.118

An 11-bit 160-MS/s Non-binary C-based SAR ADC with a Partially Monotonic Switching Scheme

(Jae-Hyuk Lee) ; (Jun-Ho Boo) ; (Jun-Sang Park) ; (Tai-Ji An) ; (Hee-Wook Shin) ; (Young-Jae Cho) ; (Michael Choi) ; (Jin-Wook Burm) ; (Gil-Cho Ahn) ; (Seung-Hoon Lee)
https://doi.org/10.5573/JSTS.2023.23.2.118
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P.128

Review of Short-circuit Protection Circuits for SiC MOSFETs

(Seungjik Lee) ; (Ockgoo Lee) ; (Ilku Nam)
https://doi.org/10.5573/JSTS.2023.23.2.128
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P.138

Design of an Approximate Adder based on Modified Full Adder and Nonzero Truncation for Machine Learning

(Hyoju Seo) ; (Hyelin Seok) ; (Jungwon Lee) ; (Youngsun Han) ; (Yongtae Kim)
https://doi.org/10.5573/JSTS.2023.23.2.138
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