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247 results on '"Kim, Namgyu"'

1. Failure Diagnosis and Maintenance of Industrial Robot Based on Deep Learning and Augmented Reality

Author

Seo, Dongwoo, Kim, Minseok, Kim, Namgyu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Pei, Yan, editor, Ma, Hao Shang, editor, Chan, Yu-Wei, editor, and Jeong, Hwa-Young, editor

Published
2024
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26. Immersing Tele-operators in Collaborative Augmented Reality

Author

Hwang, Jane, Kim, Namgyu, Kim, Gerard J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Remagnino, Paolo, editor, Nefian, Ara, editor, Meenakshisundaram, Gopi, editor, Pascucci, Valerio, editor, Zara, Jiri, editor, Molineros, Jose, editor, Theisel, Holger, editor, and Malzbender, Tom, editor

Published
2006
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27. Designing Interactions for Augmented Reality Based Educational Contents

Author

Seo, Jinseok, Kim, Namgyu, Kim, Gerard J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Pan, Zhigeng, editor, Aylett, Ruth, editor, Diener, Holger, editor, Jin, Xiaogang, editor, Göbel, Stefan, editor, and Li, Li, editor

Published
2006
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33. Development of Formation Flying CubeSats and Operation Systems for the CANYVAL-C Mission: Launch and Lessons Learned

Author

Kim, Geuk-Nam, Park, Sang-Young, Lee, Taeyang, Kang, Dae-Eun, Kim, Namgyu, Jeon, Soobin, Lee, Eunji, and Song, Youngbum

Subjects
Solar Corona, Virtual Space Telescope, Formation Flying
Abstract

The CubeSat Astronomy NASA and Yonsei using Virtual telescope ALignment for Coronagraph (CANYVAL-C) is a technology demonstration mission that shows the concept of a virtual space telescope using two CubeSats in formation flying. The final goal of the mission is to obtain several images of the solar corona during an artificial solar eclipse created by the two CubeSats, Timon (1U CubeSat) and Pumbaa (2U CubeSat). To implement this mission, two CubeSats in formation flying and a ground segment have been developed. The CubeSats were constructed mainly with commercial off the shelf components, sharing the bus architecture. The payload of each CubeSat is a visible camera and an occulter to block the light from the photosphere of the Sun. The occulter is composed of tape measures and a black-colored polyimide film; the system size is smaller than 0.5U (10 × 10 × 5 cm3) while it stowed and enlarged to 0.75 × 0.75 m2 after spreading the film. The 3D-printed propulsion system is smaller than 0.5U and facilitates accurate positioning maneuvers of Pumbaa. The on-board computer has multi-task processing capabilities and a space-saving configuration which is integrated with the GNSS receiver and the UHF transceiver. The core technology for the mission implementation is the precise formation flying guidance, navigation, and control system with a cold-gas propulsion system and an inter-satellite link system. The specification of each CubeSat system was evaluated using numerical simulations and ground testing. To operate CubeSats, the ground segment was constructed with some components, including the UHF ground station (UGS), flight dynamics system (FDS), mission analysis and planning system (MAPS), and spacecraft operation system (SOS). Each component works under the environment of an integrated graphic user interface. In particular, the UGS handles the RF communication, data storage, and instrument control for tracking CubeSats. The FDS processes the navigation data to precisely estimate absolute position and velocity. Then, the MAPS determines the allowable mission schedule and parameter set for implementing maneuvers of each CubeSat. Using the MAPS, feasibility of the mission operation canbe ensured through numerical simulations based on the solutions from the FDS. Finally, the SOS is the interface system between each component, processing telemetry and generating telecommand. The CubeSats were launched on March 22, 2021, by Soyuz-2.1a with a Fregat stage.

Published
2021

40. Automated pavement distress detection using region based convolutional neural networks.

Author

Ibragimov, Eldor, Lee, Hyun-Jong, Lee, Jong-Jae, and Kim, Namgyu

Subjects
CONVOLUTIONAL neural networks, PAVEMENTS, CRACKING of pavements, COMPUTER vision, TRAFFIC safety
Abstract

Automatic pavement crack detection is essential for evaluating maintenance requirements and ensuring driving safety. Crack detection plays a primary role in realising the automatic evaluation of pavement condition. Most existing researches on pavement crack detection rely on laborious work, which is a time- and cost-intensive process. Although there has been considerable research on pavement crack detection, it remains a challenging task owing to diverse complex pavement conditions. Recently, deep learning-based algorithms have achieved significant success in computer vision tasks. However, the techniques still have limitations for automatic pavement distress detection. To overcome the current limitations, this study proposes a method for detecting signs of pavement distress based on faster region based convolutional neural network (Faster R-CNN). The study focuses on the detection of longitudinal cracks, transverse cracks, alligator cracks, and partial patching in pavement images. A framework for applying the Faster R-CNN technique to a full-size pavement image is also proposed, which allows the sliding window size to be reduced, thus enabling the detection of larger images. The performance of the proposed method was validated against a dataset containing actual pavement images. The experimental test results show that the proposed method could successfully detect cracks and partial patching with accuracy. [ABSTRACT FROM AUTHOR]

Published
2022
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43. Mapping of a Major QTL, qBK1Z, for Bakanae Disease Resistance in Rice

Author

Lee, Sais-Beul, primary, Kim, Namgyu, additional, Jo, Sumin, additional, Hur, Yeon-Jae, additional, Lee, Ji-Youn, additional, Cho, Jun-Hyeon, additional, Lee, Jong-Hee, additional, Kang, Ju-Won, additional, Song, You-Chun, additional, Bombay, Maurene, additional, Kim, Sung-Ryul, additional, Lee, Jungkwan, additional, Seo, Young-Su, additional, Ko, Jong-Min, additional, and Park, Dong-Soo, additional

Published
2021
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48. 3-D virtual studio for natural inter-'acting'

Author

Kim, Namgyu, Woo, Woontack, Kim, Gerard J., and Park, Chan-Mo

Subjects
3D technology, Image processing -- Methods, Broadcasting -- Methods, Three-dimensional display systems -- Usage
Abstract

Virtual studios have long been used in commercial broadcasting. However, most virtual studios are based on "blue screen" technology, and its two-dimensional (2-D) nature restricts the user from making natural three-dimensional (3-D) interactions. Actors have to follow prewritten scripts and pretend as if directly interacting with the synthetic objects. This often creates an unnatural and seemingly uncoordinated output. In this paper, we introduce an improved virtual-studio framework to enable actors/users to interact in 3-D more naturally with the synthetic environment and objects. The proposed system uses a stereo camera to first construct a 3-D environment (for the actor to act in), a multiview camera to extract the image and 3-D information about the actor, and a real-time registration and rendering software for generating the final output. Synthetic 3-D objects can be easily inserted and rendered, in real time, together with the 3-D environment and video actor for natural 3-D interaction. The enabling of natural 3-D interaction would make more cinematic techniques possible including live and spontaneous acting. The proposed system is not limited to broadcast production, but can also be used for creating virtual/augmented-reality environments for training and entertainment. Index Terms--Augmented reality, calibration, image segmentation, multiview and stereo cameras, registration, three-dimensional (3-D) interaction, three-dimensional (3-D) model reconstruction, virtual environment (VE), virtual studio, z-keying.

Published
2006

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