Zobrazeno 1 - 10
of 370
pro vyhledávání: '"Tae‐Seong Kim"'
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 9, Pp 3961-3968 (2024)
The Korea Atomic Energy Research Institute (KAERI) is developing a novel Two-Region Arc Plasma Ion Source (TRAP) as a negative hydrogen (deuterium) ion source for a Neutral Beam Injection (NBI) system in a fusion tokamak. The TRAP ion source is based
Externí odkaz:
https://doaj.org/article/07226e1d4cb14732ad236872603d0676
Autor:
Su-Min Kim, Tae-Seong Kim, Woo-Sung Jung, Manh-Dung Nguyen, Yong-Joo Kim, Kyung-Hun Shin, Jang-Young Choi
Publikováno v:
AIP Advances, Vol 14, Iss 2, Pp 025229-025229-6 (2024)
As rare-earth permanent magnet prices continue to fluctuate, interest in non-rare-earth permanent magnet-assisted synchronous reluctance motors (PMa-SynRMs) is increasing. However, non-rare-earth PMa-SynRMs have a multi-layer structure with interior
Externí odkaz:
https://doaj.org/article/6b1438f5c4144afb86df787e63ce7bcb
Publikováno v:
AIP Advances, Vol 14, Iss 2, Pp 025332-025332-5 (2024)
This paper presents an analysis of demagnetization of an outer rotor type brushless DC (BLDC) motor with a permanent magnet (PM) overhang structure. The proposed model converts the operating points of PM to consider such a three-dimensional (3D) stru
Externí odkaz:
https://doaj.org/article/c49c5b29589247d69f4f32e79906a551
Autor:
Ismael Espinoza Jaramillo, Channabasava Chola, Jin-Gyun Jeong, Ji-Heon Oh, Hwanseok Jung, Jin-Hyuk Lee, Won Hee Lee, Tae-Seong Kim
Publikováno v:
Sensors, Vol 23, Iss 14, p 6491 (2023)
Human Activity Recognition (HAR) has gained significant attention due to its broad range of applications, such as healthcare, industrial work safety, activity assistance, and driver monitoring. Most prior HAR systems are based on recorded sensor data
Externí odkaz:
https://doaj.org/article/fcfaeef9f11c42e99d538b09835fd632
Publikováno v:
IET Computer Vision, Vol 15, Iss 1, Pp 24-35 (2021)
Abstract Three‐dimensional (3D) shape reconstruction of objects requires multiple scans and complex reconstruction algorithms. An alternative approach is to infer the 3D shape of an object from a single depth image (i.e. single depth view). This st
Externí odkaz:
https://doaj.org/article/87d129008dbb430b9e29edde534aa967
Autor:
Ismael Espinoza Jaramillo, Jin Gyun Jeong, Patricio Rivera Lopez, Choong-Ho Lee, Do-Yeon Kang, Tae-Jun Ha, Ji-Heon Oh, Hwanseok Jung, Jin Hyuk Lee, Won Hee Lee, Tae-Seong Kim
Publikováno v:
Sensors, Vol 22, Iss 24, p 9690 (2022)
Wearable exoskeleton robots have become a promising technology for supporting human motions in multiple tasks. Activity recognition in real-time provides useful information to enhance the robot’s control assistance for daily tasks. This work implem
Externí odkaz:
https://doaj.org/article/6d7d7e86dc85468ba81ed075a8162712
Autor:
Patricio Rivera Lopez, Ji-Heon Oh, Jin Gyun Jeong, Hwanseok Jung, Jin Hyuk Lee, Ismael Espinoza Jaramillo, Channabasava Chola, Won Hee Lee, Tae-Seong Kim
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 379 (2022)
Dexterous object manipulation using anthropomorphic robot hands is of great interest for natural object manipulations across the areas of healthcare, smart homes, and smart factories. Deep reinforcement learning (DRL) is a particularly promising appr
Externí odkaz:
https://doaj.org/article/0f6efd3ecc7348c092d11ef5189161ea
Autor:
Channabasava Chola, Abdullah Y. Muaad, Md Belal Bin Heyat, J. V. Bibal Benifa, Wadeea R. Naji, K. Hemachandran, Noha F. Mahmoud, Nagwan Abdel Samee, Mugahed A. Al-Antari, Yasser M. Kadah, Tae-Seong Kim
Publikováno v:
Diagnostics, Vol 12, Iss 11, p 2815 (2022)
Blood cells carry important information that can be used to represent a person’s current state of health. The identification of different types of blood cells in a timely and precise manner is essential to cutting the infection risks that people fa
Externí odkaz:
https://doaj.org/article/0d528bfe714444d1a98244769eefc11a
Publikováno v:
Sensors, Vol 22, Iss 18, p 6813 (2022)
Deep learning-based emotion recognition using EEG has received increasing attention in recent years. The existing studies on emotion recognition show great variability in their employed methods including the choice of deep learning approaches and the
Externí odkaz:
https://doaj.org/article/0ade09c172de4c85bb0fb5e540b0e3b7
Publikováno v:
Sensors, Vol 21, Iss 16, p 5301 (2021)
Anthropomorphic robotic hands are designed to attain dexterous movements and flexibility much like human hands. Achieving human-like object manipulation remains a challenge especially due to the control complexity of the anthropomorphic robotic hand
Externí odkaz:
https://doaj.org/article/ff9d3954584440a8949d86fa3f48a0b6