Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jie-Seok Kim"'
Publikováno v:
IEEE Access, Vol 9, Pp 71262-71276 (2021)
Computing-in-memory (CIM) is a promising approach to reduce latency and improve the energy efficiency of the multiply-and-accumulate (MAC) operation under a memory wall constraint for artificial intelligence (AI) edge processors. This paper proposes
Externí odkaz:
https://doaj.org/article/3207d958e32941b089e9f1893de91e63
Design of Tunable Metasurface Using Deep Neural Networks for Field Localized Wireless Power Transfer
Publikováno v:
IEEE Access, Vol 8, Pp 194868-194878 (2020)
Wireless power transfer (WPT), a convenient method for powering multiple devices, enables a truly wireless connection, eliminating the need for periodic charging and replacing a battery. To further enhance WPT, the unique characteristics of metamater
Externí odkaz:
https://doaj.org/article/12084bfa567d4b07b1ed65fe5a149747
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 68:1793-1797
To realize an ultralow-power, low-noise amplifier for bio-potential recording, we investigate three design techniques. The first technique uses a noise-efficient squeezed inverter (SQI) stage biased at the supply of the $2{V} _{\mathrm{ DSAT}}$ satur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8014b0f7b1d7b572712b878f6dfe4c01
https://doi.org/10.1109/tcsii.2020.3045491
https://doi.org/10.1109/tcsii.2020.3045491
Publikováno v:
IEEE Access, Vol 9, Pp 71262-71276 (2021)
Computing-in-memory (CIM) is a promising approach to reduce latency and improve the energy efficiency of the multiply-and-accumulate (MAC) operation under a memory wall constraint for artificial intelligence (AI) edge processors. This paper proposes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fb1576ca7d6bfab517720b67294bcc7
https://doi.org/10.1109/access.2021.3079425
https://doi.org/10.1109/access.2021.3079425