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291 results on '"Lee, Geunho"'

2. Deep neural network Grad-Shafranov solver constrained with measured magnetic signals

Author

Joung, Semin, Kim, Jaewook, Kwak, Sehyun, Bak, J. G., Lee, S. G., Han, H. S., Kim, H. S., Lee, Geunho, Kwon, Daeho, and Ghim, Y. -c.

Subjects
Physics - Plasma Physics, Computer Science - Machine Learning
Abstract

A neural network solving Grad-Shafranov equation constrained with measured magnetic signals to reconstruct magnetic equilibria in real time is developed. Database created to optimize the neural network's free parameters contain off-line EFIT results as the output of the network from $1,118$ KSTAR experimental discharges of two different campaigns. Input data to the network constitute magnetic signals measured by a Rogowski coil (plasma current), magnetic pick-up coils (normal and tangential components of magnetic fields) and flux loops (poloidal magnetic fluxes). The developed neural networks fully reconstruct not only the poloidal flux function $\psi\left( R, Z\right)$ but also the toroidal current density function $j_\phi\left( R, Z\right)$ with the off-line EFIT quality. To preserve robustness of the networks against a few missing input data, an imputation scheme is utilized to eliminate the required additional training sets with large number of possible combinations of the missing inputs.

Published
2019
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5. One-Dimensional Motion Representation for Standing/Sitting and Their Transitions.

Author

Lee, Geunho, Hayakawa, Yusuke, Watanabe, Takuya, and Li, Chunhe

Subjects
*PROXIMITY detectors, *HUMAN mechanics, *SITTING position, *OLDER people, *WEARABLE cameras
Abstract

In everyday life, people often stand up and sit down. Unlike young, able-bodied individuals, older adults and those with disabilities usually stand up or sit down slowly, often pausing during the transition. It is crucial to design interfaces that accommodate these movements. Additionally, in public settings, protecting personal information is essential. Addressing these considerations, this paper presents a distance-based representation scheme for the motions of standing up and sitting down. This proposed scheme identifies both standing and sitting positions, as well as the transition process between these two states. Our scheme is based solely on the variations in distance between a sensor and the surfaces of the human body during these movements. Specifically, the proposed solution relies on distance as input, allowing for the use of a proximity sensor without the need for cameras or additional wearable sensor attachments. A single microcontroller is adequate for this purpose. Our contribution highlights that using a proximity sensor broadens the applicability of the approach while ensuring that personal information remains secure. Additionally, the scheme alleviates users' mental burden, particularly regarding privacy concerns. Extensive experiments were performed on 58 subjects, including 19 people over the age of 70, to verify the effectiveness of the proposed solution, and the results are described in detail. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Miyazaki Vermin Repulsion Robot and Its Adjustable Acousto-Optic Stimulus Generation Scheme.

Author

Lee, Geunho, Yamane, Teruyuki, Koga, Tasuku, and Kuga, Tota

Subjects
LOCATION data, FELIDAE, PESTS, LIVESTOCK farms, COMMUNICABLE diseases
Abstract

One of the most pressing issues in livestock farming is the protection of economically valuable livestock. The prevention and the treatment of infectious diseases are directly related to maintaining stable livestock output. Vermin is a primary source of livestock infection, resulting in the occurrence and expansion of epidemic diseases. To protect livestock against infections caused by epidemic diseases, this study proposes a vermin repulsion system called the Miyazaki Vermin Repulsion Robot (MiVeReR). Different from existing vermin repulsion systems, the development objective of MiVeReR is to repel vermin rather than kill them. In particular, MiVeReR generates changeable acousto-optic signals as repulsion signals for wild animals. Furthermore, MiVeReR employs image data to monitor the invasion of wild animals and their location data to track them, and accurately focuses the generated signals on them. These acousto-optic stimuli can be changed based on the reactions of the intruder through the feedback of the image data to ensure the effectiveness of the repulsion motions for vermin. Details on the hardware configuration of MiVeReR and its control scheme are explained. As a first step to develop MiVeReR, we attempted to repel vermin such as mice and wild cats from farm environments. Extensive experiments were conducted to verify the effectiveness of MiVeReR and the proposed control solution. Through experiments in wild environments, the feasibility of MiVeReR was inspected. The results of this study are concretely described. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Siamese Meets Diffusion Network: SMDNet for Enhanced Change Detection in High-Resolution RS Imagery

Author

Jia, Jia, Lee, Geunho, Wang, Zhibo, Zhi, Lyu, He, Yuchu, Jia, Jia, Lee, Geunho, Wang, Zhibo, Zhi, Lyu, and He, Yuchu

Abstract

Recently, the application of deep learning to change detection (CD) has significantly progressed in remote sensing images. In recent years, CD tasks have mostly used architectures such as CNN and Transformer to identify these changes. However, these architectures have shortcomings in representing boundary details and are prone to false alarms and missed detections under complex lighting and weather conditions. For that, we propose a new network, Siamese Meets Diffusion Network (SMDNet). This network combines the Siam-U2Net Feature Differential Encoder (SU-FDE) and the denoising diffusion implicit model to improve the accuracy of image edge change detection and enhance the model's robustness under environmental changes. First, we propose an innovative SU-FDE module that utilizes shared weight features to capture differences between time series images and identify similarities between features to enhance edge detail detection. Furthermore, we add an attention mechanism to identify key coarse features to improve the model's sensitivity and accuracy. Finally, the diffusion model of progressive sampling is used to fuse key coarse features, and the noise reduction ability of the diffusion model and the advantages of capturing the probability distribution of image data are used to enhance the adaptability of the model in different environments. Our method's combination of feature extraction and diffusion models demonstrates effectiveness in change detection in remote sensing images. The performance evaluation of SMDNet on LEVIR-CD, DSIFN-CD, and CDD datasets yields validated F1 scores of 90.99%, 88.40%, and 88.47%, respectively. This substantiates the advanced capabilities of our model in accurately identifying variations and intricate details., Comment: 12 pages, 4 figures

Published
2024

11. Front Caster Capable of Reducing Horizontal Forces on Step Climbing

Author

Lee, Geunho, Shiraishi, Masaki, Tamura, Hiroki, Kawasue, Kikuhito, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Zin, Thi Thi, editor, and Lin, Jerry Chun-Wei, editor

Published
2019
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18. Series hybrid-electric propulsion for fixed-wing VTOL UAV

Author

Asia Pacific International Symposium on Aerospace Technology (2015 : Cairns, Qld.), Bak, Jeong-Gyu, Cho, Sooyoung, Park, Kyusung, Won, Sunghong, Lee, Geunho, Cho, Leesang, Moon, Changmo, and Cho, Jinsoo

Published
2015

24. Peripheral Microneedle Patch for First‐Aid Hemostasis

Author

Lee, Jungho, primary, Park, Sebin, additional, Le, Phuong Thao, additional, Lee, Geunho, additional, Lee, Hyoun Wook, additional, Yun, Gaeun, additional, Jeon, Juhyeong, additional, Park, Jeongwoo, additional, Pham, Duy Tho, additional, Park, Young Sook, additional, Lim, Hoon, additional, Kim, Chulhong, additional, Hwang, Tae Sik, additional, Kim, Seung Whan, additional, and Lim, Geunbae, additional

Published
2023
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