Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Van-Nhan Nguyen"'
Publikováno v:
IEEE Access, Vol 9, Pp 86773-86785 (2021)
This paper presents two designs of a capacitively-coupled chopper instrumentation amplifier (CCIA) successfully implemented in 28 nm CMOS for biopotential sensing applications. The first design is a compact CCIA using offset-blocking for chopping rip
Externí odkaz:
https://doaj.org/article/5a11ae07bbfa447a85920864a7be1100
Autor:
Van-Nhan Nguyen, Jong-Wook Lee
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e21981095b29a65abe712dbc1c405b7
https://doi.org/10.1109/tim.2023.3240218
https://doi.org/10.1109/tim.2023.3240218
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97bafae26f7acccbaa39c95daec4ef59
https://doi.org/10.1109/tim.2022.3151161
https://doi.org/10.1109/tim.2022.3151161
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 86773-86785 (2021)
This paper presents two designs of a capacitively-coupled chopper instrumentation amplifier (CCIA) successfully implemented in 28 nm CMOS for biopotential sensing applications. The first design is a compact CCIA using offset-blocking for chopping rip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22c16d7d009f0774a9aeeae9218cb41a
https://ieeexplore.ieee.org/document/9449909/
https://ieeexplore.ieee.org/document/9449909/
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-12
Herein, we present a cyclic Vernier time-to-digital converter (TDC) using a pulse-shrinking inverter-assisted residue quantizer (IRQ). Previous pulse-shrinking techniques suffer from a nonuniform shrink rate and time offset that slows the conversion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e37a561142648e2c0cd2a709eb7baefe
https://doi.org/10.1109/tim.2021.3094244
https://doi.org/10.1109/tim.2021.3094244
Publikováno v:
Sensors, Vol 18, Iss 11, p 3948 (2018)
Herein, we present a low-power cyclic Vernier two-step time-to-digital converter (TDC) that achieves a wide input range with good linearity. Since traditional approaches require a large area or high power to achieve an input range >300 ns, we solve t
Externí odkaz:
https://doaj.org/article/b2524f893eed4c72b14a5b338767ca55
Publikováno v:
TranscUlturAl, Vol 1, Iss 2, Pp 93-116 (2009)
This qualitative exploratory study of Vietnamese interpreters in Vietnam argues that the progressive dispelling of the interpreters’ invisibility myth must be accompanied by an increased importance paid to interpreters’ identities during their tr
Externí odkaz:
https://doaj.org/article/41b521cb6d47436e828745d5d04c212f
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks
Autor:
Kristoffer Wickstrøm, Robert Jenssen, Sigurd Løkse, Michael Kampffmeyer, Davide Roverso, Van Nhan Nguyen
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
In this paper, we equip Prototypical Networks (PNs) with a novel dissimilarity measure to enable discriminative feature normalization for few-shot learning. The embedding onto the hypersphere requires no direct normalization and is easy to optimize.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a8bb49d76d5e8c7d32b2193deeec2f1
https://doi.org/10.1007/978-3-030-58592-1_8
https://doi.org/10.1007/978-3-030-58592-1_8
In low-altitude Unmanned Aerial Vehicle (UAV) flights, power lines are considered as one of the most threatening hazards and one of the most difficult obstacles to avoid. In recent years, many vision-based techniques have been proposed to detect powe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad291c8b777faae38612403a60dd2261
http://arxiv.org/abs/1912.09532
http://arxiv.org/abs/1912.09532