Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sung Justin Kim"'
Autor:
Pavan Kumar Chundi, Dewei Wang, Sung Justin Kim, Minhao Yang, Joao Pedro Cerqueira, Joonsung Kang, Seungchul Jung, Sangjoon Kim, Mingoo Seok
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
This paper presents a novel spiking neural network (SNN) classifier architecture for enabling always-on artificial intelligent (AI) functions, such as keyword spotting (KWS) and visual wake-up, in ultra-low-power internet-of-things (IoT) devices. Suc
Externí odkaz:
https://doaj.org/article/6090999d7cce40959bee94933b58a8ef
Publikováno v:
IEEE Journal of Solid-State Circuits. 56:2781-2794
This article presents on-chip power delivery hardware comprised of nine event-driven (ED) digital low-dropout voltage regulators (LDOs) for a large digital load. The goal is to address the performance degradations in an LDO’s accuracy and dynamic l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c968ada1e08e41d637da8f380fc59bc4
https://doi.org/10.1109/jssc.2021.3069954
https://doi.org/10.1109/jssc.2021.3069954
Publikováno v:
IEEE Solid-State Circuits Letters. 4:88-91
State-of-the-art digital low-dropout regulators (LDOs) have shown competitive dynamic load regulation at a scaled output capacitor size. However, achieving high power-supply-rejection-ratio (PSRR) and small output ripple in a digital LDO remains a ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc982eb025d069d6079f0f5dcc28523
https://doi.org/10.1109/lssc.2021.3070556
https://doi.org/10.1109/lssc.2021.3070556
Autor:
Zhewei Jiang, Dongkwun Kim, Mingoo Seok, Ram Krishnamurthy, Suhwan Kim, Sung Justin Kim, Andres Arturo Blanco
Publikováno v:
IEEE Solid-State Circuits Letters. 4:56-59
Emerging sub-mW near-threshold-voltage system-on-chips require new power management architecture that can create multiple voltage domains with the fewest possible off-chip passives. To fulfill this need, we propose an ultra-low-power single-inductor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::025a4c8afc5793c2db95532a9e3ca96d
https://doi.org/10.1109/lssc.2021.3059818
https://doi.org/10.1109/lssc.2021.3059818
Publikováno v:
VLSI Circuits
This paper presents EQZ-LDO, a digital low drop-out regulator (LDO) with attack detection and detection-driven protection for side-channel attack (SCA) resiliency. It typically incurs only 0.5% energy-delay-product (EDP) overhead since the proposed d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47fb12a395bdc523146c5c1b6120d7af
https://doi.org/10.23919/vlsicircuits52068.2021.9492345
https://doi.org/10.23919/vlsicircuits52068.2021.9492345
Autor:
Joao P. Cerqueira, Sung Justin Kim, Joonsung Kang, Sang Joon Kim, Minhao Yang, Dewei Wang, Pavan Kumar Chundi, Seungchul Jung, Mingoo Seok
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2021)
Frontiers in Neuroscience, Vol 15 (2021)
This paper presents a novel spiking neural network (SNN) classifier architecture for enabling always-on artificial intelligent (AI) functions, such as keyword spotting (KWS) and visual wake-up, in ultra-low-power internet-of-things (IoT) devices. Suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eed78750e164c20fd31ac8ce428cba8
https://pubmed.ncbi.nlm.nih.gov/34354559
https://pubmed.ncbi.nlm.nih.gov/34354559
Publikováno v:
ISSCC
In mobile and edge devices, always-on keyword spotting (KWS) is an essential function to detect wake-up words. Recent works achieved extremely low power dissipation down to $\sim500$ nW [1]. However, most of them adopt noise-dependent training, i.e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a60ed39b60eed7129a6ca21e44e28c14
https://doi.org/10.1109/isscc42613.2021.9365969
https://doi.org/10.1109/isscc42613.2021.9365969
Autor:
Dewei Wang, Mingoo Seok, Sang Joon Kim, Pavan Kumar Chundi, Sung Justin Kim, Joonsung Kang, Minhao Yang, Seungchul Jung, Joao P. Cerqueira
Publikováno v:
A-SSCC
Always-on artificial intelligent (AI) functions such as keyword spotting (KWS) and visual wake-up tend to dominate total power consumption in ultra-low power devices [1]. A key observation is that the signals to an always-on function are sparse in ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c19acac9aaba5e61c9b322f16880b81
Publikováno v:
IEEE Solid-State Circuits Letters. 1:130-133
We present a fully integrated digital low-drop-out regulator (LDO) with a 100-pF output capacitor ( ${C} _{\textbf {OUT}}$ ) in 65 nm, based on hybrid-synchronous-asynchronous control. The goal is to minimize both response and settling time for abrup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d707145160c1972bcac0e90975b04fb7
https://doi.org/10.1109/lssc.2018.2875828
https://doi.org/10.1109/lssc.2018.2875828
Publikováno v:
VLSI Circuits
Recent digital low-dropout regulators have demonstrated competitive load regulation performance for a digital load even with a low input voltage. However, few existing regulator designs have investigated into supporting a spatially large load with re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e60214979de911bb1549bb5f62f0929
https://doi.org/10.23919/vlsic.2019.8778117
https://doi.org/10.23919/vlsic.2019.8778117