Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Kyeong-Sik Min"'
Publikováno v:
Information, Vol 15, Iss 7, p 409 (2024)
Memristor crossbars offer promising low-power and parallel processing capabilities, making them efficient for implementing convolutional neural networks (CNNs) in terms of delay time, area, etc. However, mapping large CNN models like ResNet-18, ResNe
Externí odkaz:
https://doaj.org/article/c074f194942f460eb2d3468a0edb6a73
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 3, Pp 870-875 (2023)
In this paper, we analyzed the revised guidance on electromagnetic (EM) interference qualification of Regulatory Guide 1.180 (Revision 2), which is published by the U.S. Nuclear Regulatory Commission for electromagnetic compatibility qualification fo
Externí odkaz:
https://doaj.org/article/d94e869acfd94c60b91de01c86191b5d
Publikováno v:
Micromachines, Vol 15, Iss 4, p 426 (2024)
For processing streaming events from a Dynamic Vision Sensor camera, two types of neural networks can be considered. One are spiking neural networks, where simple spike-based computation is suitable for low-power consumption, but the discontinuity in
Externí odkaz:
https://doaj.org/article/8d89dee30e6041e7ac09e80c37d593af
Autor:
Youn-Hee Kim, Juwon Jun, You-Kyung Oh, Hee-Ji Choi, Mi-Jung Lee, Kyeong-Sik Min, Sung-Hyon Kim, Hyunseung Lee, Ho-Seok Nam, Son Singh, Byoung-Joon Kim, Jaegab Lee
Publikováno v:
Sensors, Vol 24, Iss 5, p 1690 (2024)
In this study, we explore how the strategic positioning of conductive yarns influences the performance of plated knit strain sensors fabricated using commercial knitting machines with both conductive and non-conductive yarns. Our study reveals that s
Externí odkaz:
https://doaj.org/article/f9bf6fa342a64add9c1e23b7ab057f9d
Publikováno v:
Micromachines, Vol 14, Iss 7, p 1367 (2023)
Equilibrium propagation (EP) has been proposed recently as a new neural network training algorithm based on a local learning concept, where only local information is used to calculate the weight update of the neural network. Despite the advantages of
Externí odkaz:
https://doaj.org/article/0f3bd5452ad54c59b790717127dffaac
Autor:
You-Seok Yeoh, Kyeong-Sik Min
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 21, Iss 5, Pp 439-447 (2021)
This paper presents the characteristics of a 6 × 26 slotted waveguide array antenna for a wave monitoring radar system. The proposed antenna was designed as a double-layer structure that operated in the Ku-band and combined the radiating antenna and
Externí odkaz:
https://doaj.org/article/2bd765ed1b3c47cbad561a49890ada4f
Publikováno v:
Micromachines, Vol 14, Iss 2, p 309 (2023)
Memristor crossbars can be very useful for realizing edge-intelligence hardware, because the neural networks implemented by memristor crossbars can save significantly more computing energy and layout area than the conventional CMOS (complementary met
Externí odkaz:
https://doaj.org/article/76d61d54357f4041bbe811ec2db707e9
Autor:
Kyeong-Sik Min
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 20, Iss 4, Pp 320-326 (2020)
This paper proposes a multiband cross-shaped inverse triangular notch antenna on a circular ground plane for a radio shadow zone mobile communication design for a broadband repeater antenna in the firefighting band for in-building mobile communicatio
Externí odkaz:
https://doaj.org/article/770d617072c84ba1928b2ede9356e64f
Autor:
Kyeong-Sik Min, Fernando Corinto
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Externí odkaz:
https://doaj.org/article/54a0307fa72b4e33b43fa3a377d17922
Publikováno v:
Micromachines, Vol 13, Iss 2, p 273 (2022)
To overcome the limitations of CMOS digital systems, emerging computing circuits such as memristor crossbars have been investigated as potential candidates for significantly increasing the speed and energy efficiency of next-generation computing syst
Externí odkaz:
https://doaj.org/article/02c1e47783d44d7fad305177d49df23f