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Ki-Yong Oh
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2020 – today
- 2024
- [j18]Munsu Jeon, Joonhyeok Moon, Siheon Jeong, Ki-Yong Oh:
Autonomous flight strategy of an unmanned aerial vehicle with multimodal information for autonomous inspection of overhead transmission facilities. Comput. Aided Civ. Infrastructure Eng. 39(14): 2159-2186 (2024) - [j17]Joonhyeok Moon, Munsu Jeon, Siheon Jeong, Ki-Yong Oh:
RoMP-transformer: Rotational bounding box with multi-level feature pyramid transformer for object detection. Pattern Recognit. 147: 110067 (2024) - 2023
- [j16]Minjae Kim, Seho Son, Ki-Yong Oh:
Margin-Maximized Hyperspace for Fault Detection and Prediction: A Case Study With an Elevator Door. IEEE Access 11: 128580-128595 (2023) - [j15]Seho Son, Hyunseung Lee, Dayeon Jeong, Ki-Yong Oh, Kyung Ho Sun:
A novel physics-informed neural network for modeling electromagnetism of a permanent magnet synchronous motor. Adv. Eng. Informatics 57: 102035 (2023) - [j14]Ji-Wan Ham, Siheon Jeong, Min-Gwan Kim, Joon-Young Park, Ki-Yong Oh:
Enhancing Structural Crack Detection through a Multiscale Multilevel Mask Deep Convolutional Neural Network and Line Similarity Index. Int. J. Intell. Syst. 2023: 1-22 (2023) - [j13]Muhammad Wisal, Ki-Yong Oh:
A New Deep Learning Framework for Imbalance Detection of a Rotating Shaft. Sensors 23(16): 7141 (2023) - 2022
- [j12]Hyun Chae, Jae Eung Lee, Ki-Yong Oh:
Fault Diagnosis of Elevator Doors Using Control State Information. IEEE Access 10: 7207-7222 (2022) - [j11]Seho Son, Ki-Yong Oh:
Integrated framework for estimating remaining useful lifetime through a deep neural network. Appl. Soft Comput. 122: 108879 (2022) - [j10]San Kim, Siheon Jeong, Donggeun Kim, Munsu Jeon, Joonhyeok Moon, Jun-Hyeong Kim, Ki-Yong Oh:
GPU-Oriented Environmental Cognition of Power Transmission Lines Through LiDAR-Equipped UAVs. IEEE Syst. J. 16(3): 4541-4551 (2022) - 2021
- [j9]Donggeun Kim, San Kim, Siheon Jeong, Ji-Wan Ham, Seho Son, Joonhyeok Moon, Ki-Yong Oh:
Rotational multipyramid network with bounding-box transformation for object detection. Int. J. Intell. Syst. 36(9): 5307-5338 (2021) - [j8]Donggeun Kim, San Kim, Siheon Jeong, Ji-Wan Ham, Seho Son, Joonhyeok Moon, Ki-Yong Oh:
Cover: International Journal of Intelligent Systems, Volume 36 Issue 9 September 2021. Int. J. Intell. Syst. 36(9): i (2021) - 2020
- [j7]San Kim, Donggeun Kim, Siheon Jeong, Ji-Wan Ham, Jae-Kyung Lee, Ki-Yong Oh:
Fault Diagnosis of Power Transmission Lines Using a UAV-Mounted Smart Inspection System. IEEE Access 8: 149999-150009 (2020) - [j6]Donggeun Kim, San Kim, Siheon Jeong, Ji-Wan Ham, Seho Son, Ki-Yong Oh:
Damage Detection With an Ultrasound Array and Deep Convolutional Neural Network Fusion. IEEE Access 8: 189423-189435 (2020) - [j5]Yun-Ho Seo, Moo Sung Ryu, Ki-Yong Oh:
Dynamic Characteristics of an Offshore Wind Turbine with Tripod Suction Buckets via Full-Scale Testing. Complex. 2020: 3079308:1-3079308:16 (2020) - [j4]Joon-Young Park, Seok-Tae Kim, Jae-Kyung Lee, Ji-Wan Ham, Ki-Yong Oh:
Method of operating a GIS-based autopilot drone to inspect ultrahigh voltage power lines and its field tests. J. Field Robotics 37(3): 345-361 (2020) - [j3]Yun-Ho Shin, Seok-Jun Moon, Yong-Ju Kim, Ki-Yong Oh:
Vibration Control of Scanning Electron Microscopes with Experimental Approaches for Performance Enhancement. Sensors 20(8): 2277 (2020)
2010 – 2019
- 2019
- [j2]Woochul Nam, Ki-Yong Oh, Bogdan I. Epureanu:
Evolution of the dynamic response and its effects on the serviceability of offshore wind turbines with stochastic loads and soil degradation. Reliab. Eng. Syst. Saf. 184: 151-163 (2019) - [c2]Joon-Young Park, Seok-Tae Kim, Jae-Kyung Lee, Ji-Wan Ham, Ki-Yong Oh:
Automatic Inspection Drone with Deep Learning-based Auto-tracking Camera Gimbal to Detect Defects in Power Lines. ICVISP 2019: 46:1-46:6 - 2016
- [c1]Youngki Kim, Nassim A. Samad, Ki-Yong Oh, Jason B. Siegel, Bogdan I. Epureanu, Anna G. Stefanopoulou:
Estimating state-of-charge imbalance of batteries using force measurements. ACC 2016: 1500-1505 - 2015
- [j1]Ki-Yong Oh, Joon-Young Park, Jun-Shin Lee, Bogdan I. Epureanu, Jae-Kyung Lee:
A Novel Method and its Field Tests for Monitoring and Diagnosing Blade Health for Wind Turbines. IEEE Trans. Instrum. Meas. 64(6): 1726-1733 (2015)
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last updated on 2024-08-07 22:30 CEST by the dblp team
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