Search

Your search keyword '"Lee, Jongsuk"' showing total 115 results
Start Over Author "Lee, Jongsuk"
115 results on '"Lee, Jongsuk"'

5. Design of Science App Management Tool for Computational Science Engineering Platform

Author

Jeon, Inho, Kwon, Yejin, Ma, Jin, Lee, Jongsuk Ruth, Seo, Jerry H., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, 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, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, 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, Zhang, Junjie James, Series Editor, Park, James J., editor, Park, Doo-Soon, editor, Jeong, Young-Sik, editor, and Pan, Yi, editor

Published
2020
Full Text
View/download PDF

8. A Development on the SaaS Cloud Scientific Computing Platform for Education and Research in Nanoscience

Author

Jeon, Inho, Ma, Jin, Seo, Jerry H., Lee, Jongsuk Ruth, Cho, Kumwon, Ryu, Hoon, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, 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, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Park, James J., editor, Loia, Vincenzo, editor, Yi, Gangman, editor, and Sung, Yunsick, editor

Published
2018
Full Text
View/download PDF

9. A Search for Computationally Efficient Supervised Learning Algorithms of Anomalous Traffic

Author

Jeong, Hae-Duck J., Jeong, Gil-Seong, Kim, Won-Jung, Kim, Jinwon, Song, Hanbin, Ryu, Myeong-Un, Lee, Jongsuk R., 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, Barolli, Leonard, editor, and Enokido, Tomoya, editor

Published
2018
Full Text
View/download PDF

13. LEONARDO GALLERY: Simultaneous Echoes

Author

SOHN, YOUNGSIL, Oh, Yongseok, Lee, Leenam, Ryu, Biho, Lee, Jongsuk, IM, Sangbin, Ryu, Ho-Yeol, Han, Kyungwoo, Park, Junebum, and Lee, Ye Seung

Published
2016

19. A Component Cohesion Metric Applying the Properties of Linear Increment by Dynamic Dependency Relationships Between Classes

Author

Choi, Misook, Lee, Jongsuk, Ha, Jongsung, 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, Gavrilova, Marina L., editor, Gervasi, Osvaldo, editor, Kumar, Vipin, editor, Tan, C. J. Kenneth, editor, Taniar, David, editor, Laganá, Antonio, editor, Mun, Youngsong, editor, and Choo, Hyunseung, editor

Published
2006
Full Text
View/download PDF

20. 3D Image-Guided Robotic System for Bone Fracture Reduction

Author

Lee, Seongpung, primary, Joung, Sanghyun, additional, Ha, Ho-Gun, additional, Lee, Jin-Han, additional, Park, Kyeong-Hyeon, additional, Kim, Shinyeol, additional, Nam, Kwonsun, additional, Lee, Jongsuk, additional, Lee, Hyun-Joo, additional, Oh, Chang-Wug, additional, Park, Ilhyung, additional, and Hong, Jaesung, additional

Published
2022
Full Text
View/download PDF

21. Fibroblast growth factor 18 attenuates liver fibrosis and HSCs activation via the SMO-LATS1-YAP pathway

Author

Tong, Gaozan, primary, Chen, Xixi, additional, Lee, Jongsuk, additional, Fan, Junfu, additional, Li, Santie, additional, Zhu, Kunxuan, additional, Hu, Zijing, additional, Mei, Lin, additional, Sui, Yanru, additional, Dong, Yonggan, additional, Chen, Rui, additional, Jin, Zhouxiang, additional, Zhou, Bin, additional, Li, Xiaokun, additional, Wang, Xu, additional, Cong, Weitao, additional, Huang, Peijun, additional, and Jin, Litai, additional

Published
2022
Full Text
View/download PDF

33. GUI-Based DL-Network Designer for KISTI's Supercomputer Users.

Author

Jaegwang Lee, Lee, Jongsuk R., and Ahn, Sunil

Subjects
DEEP learning, GRAPHICAL user interfaces, PROBLEM solving, MACHINE learning, SUPERCOMPUTERS, ARTIFICIAL intelligence
Abstract

With the increase in research on AI (Artificial Intelligence), the importance of DL (Deep Learning) in various fields, such as materials, biotechnology, genomes, and new drugs, is increasing significantly, thereby increasing the number of deep-learning framework users. However, to design a deep neural network, a considerable understanding of the framework is required. To solve this problem, a GUI (Graphical User Interface)-based DNN (Deep Neural Network) design tool is being actively researched and developed. The GUI-based DNN design tool can design DNNs quickly and easily. However, the existing GUI-based DNN design tool has certain limitations such as poor usability, framework dependency, and difficulty encountered in changing GUI components. In this study, a deep learning algorithm that solves the problem of poor usability was developed using a template to increase the accessibility for users. Moreover, the proposed tool was developed to save and share only the necessary parts for quick operation. To solve the framework dependency, we applied ONNX (Open Neural Network Exchange), which is an exchange standard for neural networks, and configured it such that DNNs designed with the existing deep-learning framework can be imported. Finally, to address the difficulty encountered in changing GUI components, we defined and developed the JSON format to quickly respond to version updates. The developed DL neural network designer was validated by running it with KISTI's supercomputer-based AI Studio. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

38. Bulletproof Performance of Composite Plate Fabricated Using Shear Thickening Fluid and Natural Fiber Paper.

Author

Cho, Hyeonho, Lee, Jongsuk, Hong, Sungjin, and Kim, Sunghan

Subjects
NATURAL fibers, COMPOSITE plates, LINEAR velocity, FINITE element method, FIBROUS composites, FINITE fields
Abstract

In the munitions industry, there have been considerable efforts spent to develop low-cost, simply fabricated, easily wearable, and biocompatible bulletproof armors. Recently, long fiber-reinforced composites and shear thickening fluids (STFs) were inceptively utilized to improve bulletproof performance with solid or fabric materials. In this study, Hanji, a cornstarch suspension, Korean traditional long fiber paper, and a well-known STF, respectively, were examined for bulletproof applications to evaluate their own effects on bulletproof performance; tests were carried out in the field and finite element analysis (FEA) was performed to evaluate the behavior of materials regarding with perforated clay areas from in-field tests. It was found that both Hanji and STF influenced the bullet penetration by two factors, namely the momentum of bullet and stress propagation. The cornstarch suspension, rather than Hanji, showed outstanding performance in decreasing the linear velocity of the bullet and minimized the stress propagation to the protecting object. Thus, although STF performed a key role in bulletproof performance, Hanji also proved to be a suitable material as an exterior covering for absorbing the initial impact stress and maintaining the durability and stability of the armor itself. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results