Zobrazeno 1 - 10 of 34 pro vyhledávání: '"Kyuho Jason Lee"'
2
The Development of Silicon for AI: Different Design Approaches
Autor: Hoi-Jun Yoo, Jinmook Lee, Sungpill Choi, Kyuho Jason Lee
Publikováno v: IEEE Transactions on Circuits and Systems I: Regular Papers. 67:4719-4732
This paper provides a review of design approaches towards artificial intelligence (AI) System-on-Chip. AI algorithms have progressed over the past decades from perceptron-based neural network (NN) and neuro-fuzzy (NF) system to today’s deep neural
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::46a607f39cd731e03db520265d5aa172
https://doi.org/10.1109/tcsi.2020.2996625
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4
Tunnelling-based ternary metal–oxide–semiconductor technology
Autor: Jee Ho Park, Young Choi, Seong-Jin Kim, Jiwon Chang, Sunhae Shin, Kyung Rok Kim, Kyuho Jason Lee, Sunmean Kim, Woo Seok Kim, Jae Won Jeong
Publikováno v: Nature Electronics. 2:307-312
The power density limits of complementary metal–oxide–semiconductor (CMOS) technology could be overcome by moving from a binary to a ternary logic system. However, ternary devices are typically based on multi-threshold voltage schemes, which make
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e04cca4472e6c8734467bfd87558a2ca
https://doi.org/10.1038/s41928-019-0272-8
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6
Architecture of neural processing unit for deep neural networks
Autor: Kyuho Jason Lee
Publikováno v: Advances in Computers ISBN: 9780128231234
Deep Neural Networks (DNNs) have become a promising solution to inject AI in our daily lives from self-driving cars, smartphones, games, drones, etc. In most cases, DNNs were accelerated by server equipped with numerous computing engines, e.g., GPU,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::05c712236257f6039bc67c6dc56e0b50
https://doi.org/10.1016/bs.adcom.2020.11.001
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7
An Energy-Efficient Deep Neural Network Accelerator Design
Autor: Kyuho Jason Lee, Jueun Jung
Publikováno v: ACSSC
This paper introduces an energy-efficient design method for Deep Neural Network (DNN) accelerator. Although GPU is widely used for DNN acceleration, its huge power consumption limits practical usage on mobile devices. Recent DNN accelerators are dedi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7ead3bd4fe9d700f15750883862418b9
https://doi.org/10.1109/ieeeconf51394.2020.9443508
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8
17.3 A −58dBc-Worst-Fractional-Spur and −234dB-FoMjitter, 5.5GHz Ring-DCO-Based Fractional-N DPLL Using a Time-Invariant-Probability Modulator, Generating a Nonlinearity-Robust DTC-Control Word
Autor: Yongsun Lee, Jaehyouk Choi, Taeho Seong, Hangi Park, Chanwoong Hwang, Jeonghyun Lee, Kyuho Jason Lee
Publikováno v: ISSCC
Despite their superiority in silicon integration, ring-oscillator-based digital PLLs (RO-DPLLs) are seldom used for mobile transceivers because they have difficulty in meeting key requirements, such as low phase noise (PN) and high-frequency resoluti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c72a2ea91b1ebea17fc32f79e24f244c
https://doi.org/10.1109/isscc19947.2020.9062948
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9
A 1.4-m $\Omega$ -Sensitivity 94-dB Dynamic-Range Electrical Impedance Tomography SoC and 48-Channel Hub-SoC for 3-D Lung Ventilation Monitoring System
Autor: Kwantae Kim, Hoi-Jun Yoo, Jihee Lee, Kyoung-Rog Lee, Jaehyuck Lee, Jaeeun Jang, Minseo Kim, Kyuho Jason Lee, Yongsu Lee, Jiwon Lee, Hyunki Kim
Publikováno v: IEEE Journal of Solid-State Circuits. 52:2829-2842
A wearable electrical impedance tomography (EIT) system is proposed for the portable real-time 3-D lung ventilation monitoring. It consists of two types of SoCs, active electrode (AE)-SoC and Hub-SoC, mounted on wearable belts. The 48-channel AE-SoCs
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7723e100d41ee3f8c89dfd0e39721f73
https://doi.org/10.1109/jssc.2017.2753234
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10
A 82-nW Chaotic Map True Random Number Generator Based on a Sub-Ranging SAR ADC
Autor: Hoi-Jun Yoo, Yongsu Lee, Kyuho Jason Lee, Unsoo Ha, Minseo Kim
Publikováno v: IEEE Journal of Solid-State Circuits. 52:1953-1965
An ultra-low power true random number generator (TRNG) based on a sub-ranging SAR analog-to-digital converter (ADC) is proposed. The proposed TRNG is composed of a coarse-SAR ADC with a low-power adaptive-reset comparator and a low-power dynamic ampl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39a2870e3f32d8e6c9a3da9eca8e5682
https://doi.org/10.1109/jssc.2017.2694833
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