Zobrazeno 1 - 10
of 996
pro vyhledávání: '"Young-Keun Kim"'
Autor:
Yejin Kim, Young-Keun Kim
Publikováno v:
IEEE Access, Vol 12, Pp 12517-12532 (2024)
We propose an accurate and noise-robust deep learning model to diagnose bearing faults for practical implementation in industry. To achieve high classification accuracy in a noisy environment, we designed a time-frequency multi-domain fusion block, i
Externí odkaz:
https://doaj.org/article/c68665c112444e8eb25d53304e7fcae5
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8217 (2024)
The bladeless wind turbine (BWT) using vortex-induced vibration is a new class of wind turbine that does not have traditional rotating blades and converts wind energy into vibration energy and into electrical energy based on vortex-shedding principle
Externí odkaz:
https://doaj.org/article/e377534961994862a979b7faf772d916
Autor:
Ji-Tae Kim, Ho-Seop Lee, Jung-Ho Park, Jea-Keun Woo, Il-Su Choi, Young-Keun Kim, Seung-Je Cho, Chang-Sub Ha, Young-Jun Park
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract The gearbox has the advantage of being able to change the torque and rotational speed according to the gear ratio and has high power transmission efficiency by transmitting power through the contact of the gear pair. When evaluating the stre
Externí odkaz:
https://doaj.org/article/b4d9d6a5e64643448a1fdcde9d8945b1
Autor:
Yejin Kim, Young-Keun Kim
Publikováno v:
Sensors, Vol 23, Iss 23, p 9311 (2023)
This paper proposes a noise-robust and accurate bearing fault diagnosis model based on time-frequency multi-domain 1D convolutional neural networks (CNNs) with attention modules. The proposed model, referred to as the TF-MDA model, is designed for an
Externí odkaz:
https://doaj.org/article/cbee5f9bdca24691b350c78bbb645e24
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12654 (2022)
Blasting has been proven to be the most cost-effective method for rock excavation known to man. The cost-effectiveness advantage of blasting is overshadowed by its unpleasant environmental problems, particularly at construction sites close to human s
Externí odkaz:
https://doaj.org/article/996160fb26654951a4faa610dfd1a0a7
Autor:
Jihwan You, Young-Keun Kim
Publikováno v:
Sensors, Vol 23, Iss 1, p 322 (2022)
Automobile datasets for 3D object detection are typically obtained using expensive high-resolution rotating LiDAR with 64 or more channels (Chs). However, the research budget may be limited such that only a low-resolution LiDAR of 32-Ch or lower can
Externí odkaz:
https://doaj.org/article/06a5bd355065414096dbd7a957947d8e
Publikováno v:
Polymers, Vol 14, Iss 23, p 5286 (2022)
Magneto-rheological gel (MRG) has been the subject of recent research due to its versatile applications. Especially, the magneto-induced electrical properties of MRGs under different levels of magnetic field enables them to be used as magneto-sensors
Externí odkaz:
https://doaj.org/article/63fbdab0f7a9467583bd4f4566f2b8ca
Publikováno v:
Polymers, Vol 14, Iss 3, p 542 (2022)
The conductive polymeric composites incorporating carbon nanotube (CNT) and carbonyl iron powder (CIP) have attracted much attention for various sensor applications. In this paper, a comprehensive study of the magneto-sensing property of a CNT-CIP em
Externí odkaz:
https://doaj.org/article/5349b5e6d3644ae2ba3e15bb19222bba
Autor:
Wan-Soo Kim, Yong-Joo Kim, Seung-Min Baek, Seok-Pyo Moon, Nam-Gyu Lee, Yeon-Soo Kim, Seong-Un Park, Yong Choi, Young-Keun Kim, Il-Su Choi, Duck-Kyu Choi, Chang-Hyun Choi
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 8898 (2020)
The spiral bevel gear in a tractor, unlike the other gears in the transmission, is one of the most vulnerable gears in terms of fatigue life, as it is consistently driven throughout the operations of the tractor. Conventional fatigue life tests of tr
Externí odkaz:
https://doaj.org/article/e169765040704a6fa4787a7ed960f276
Publikováno v:
Energies, Vol 8, Iss 11, Pp 12729-12740 (2015)
This paper proposes a simple, yet effective and affordable, manufacturing process to enhance the overall efficiency of voltage generation by a triboelectric generator (TEG) using 3D printers for energy-harvesting applications. The proposed method can
Externí odkaz:
https://doaj.org/article/9182589e13934ced804130149b557754