Zobrazeno 1 - 10 of 16 pro vyhledávání: '"JungJun Kim"'
1
Akademický článek
Large‐Area Processable Ultrathin Organic Transistors with High Mobility and Mechanical Stabilities
Autor: Tae Jin Mun, Jungjun Kim, Junyoung Seong, Yerim Jang, Wonryung Lee, Hyejeong Seong
Publikováno v: Advanced Electronic Materials, Vol 10, Iss 7, Pp n/a-n/a (2024)
Abstract For applications involving the implantation of organic thin‐film transistors (OTFTs) in flexible environments, maintaining uniform device performance and ultrathin profiles with excellent mechanical stability is crucial for dynamic deforma
Externí odkaz: https://doaj.org/article/ab120290e74844b9a3fff06939e4989c
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2
Akademický článek
Blockage-Aware Flow Control in E-UTRA-NR Dual Connectivity for QoS Enhancement
Autor: Jungjun Kim, Saewoong Bahk
Publikováno v: IEEE Access, Vol 10, Pp 68834-68845 (2022)
Millimeter-wave (mmWave) communication included in new radio (NR) provides high throughput to meet the stringent requirements of modern applications. However, its performance is highly dependent on whether obstacles are blocking line-of-sight (LOS) p
Externí odkaz: https://doaj.org/article/f493f2feaf584309b0362b910d1f923a
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3
Akademický článek
A Study on Accurate Initial Rotor Position Offset Detection for a Permanent Magnet Synchronous Motor Under a No-Load Condition
Autor: Dongok Kim, Jungjun Kim, Heesun Lim, Jihwan Park, Junseo Han, Geunho Lee
Publikováno v: IEEE Access, Vol 9, Pp 73662-73670 (2021)
This paper proposes a resolver offset calibration algorithm that can detect offset with high precision just by configuring a very simple experimental environment. This use of a simple experimental environment holds a great advantage for large-capacit
Externí odkaz: https://doaj.org/article/ed1e6613bc3a4c80a524749a9ccf50a3
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5
A Study on Accurate Initial Rotor Position Offset Detection for a Permanent Magnet Synchronous Motor Under a No-Load Condition
Autor: Geun-Ho Lee, Junseo Han, Jungjun Kim, Jihwan Park, Dong-Ok Kim, Heesun Lim
Publikováno v: IEEE Access, Vol 9, Pp 73662-73670 (2021)
This paper proposes a resolver offset calibration algorithm that can detect offset with high precision just by configuring a very simple experimental environment. This use of a simple experimental environment holds a great advantage for large-capacit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd3016492ea736e719fdda96370f2fad
https://ieeexplore.ieee.org/document/9427081/
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7
Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning
Autor: Jaehyun Kim, Doowon Park, Sung-Phil Kim, Jungjun Kim, Unyong Jeong, Heeseon Hwang, Jaehun Kim
Publikováno v: SMC
The tactile properties of objects are important for robotic dexterous manipulation. An increasing number of attempts have recently been made to enable tactile information processing in robotic hand via tactile sensors. However, it remains relatively
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ca934584dfdfbfa2900c5ff24f5ba9f
https://doi.org/10.1109/smc42975.2020.9283337
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8
CoNAN: A Complementary Neighboring-based Attention Network for Referring Expression Generation
Autor: Jialin Wu, Hanbin Ko, Jungjun Kim
Publikováno v: COLING
Daily scenes are complex in the real world due to occlusion, undesired lighting conditions, etc. Although humans handle those complicated environments well, they evoke challenges for machine learning systems to identify and describe the target withou
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26f1883ed8e0b96c1b24412848819c2a
https://doi.org/10.18653/v1/2020.coling-main.177
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