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2. Recent advances in label-free imaging and quantification techniques for the study of lipid droplets in cells

Author

Kim, Hyeonwoo, Oh, Seungeun, Lee, Seongsoo, Lee, Kwang suk, and Park, YongKeun

Subjects
Physics - Biological Physics, Physics - Optics
Abstract

Lipid droplets (LDs), once considered mere storage depots for lipids, have gained recognition for their intricate roles in cellular processes, including metabolism, membrane trafficking, and disease states like obesity and cancer. This review explores label-free imaging techniques' applications in LD research. We discuss holotomography and vibrational spectroscopic microscopy, emphasizing their potential for studying LDs without molecular labels, and we highlight the growing integration of artificial intelligence. Clinical applications in disease diagnosis and therapy are also considered.

Published
2023

4. Holotomography

Author

Kim, Geon, Hugonnet, Herve, Kim, Kyoohyun, Lee, Jae-Hyuk, Lee, Sung Sik, Ha, Jeongmin, Lee, Chungha, Park, Hoewon, Yoon, Ki-Jun, Shin, Yongdae, Csucs, Gabor, Hitchcock, Ian, Mackinder, Luke, Kim, Ji Hyang, Hwang, Tae Hyun, Lee, Seongsoo, O’Toole, Peter, Koo, Bon-Kyoung, Guck, Jochen, and Park, YongKeun

Published
2024
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12. Multi-Branch Network for Color Image Denoising Using Dilated Convolution and Attention Mechanisms.

Author

Duong, Minh-Thien, Nguyen Thi, Bao-Tran, Lee, Seongsoo, and Hong, Min-Cheol

Subjects
IMAGE denoising, COMPUTER vision, NETWORK performance, IMAGE sensors, CONTEXTUAL learning, CONVOLUTION codes
Abstract

Image denoising is regarded as an ill-posed problem in computer vision tasks that removes additive noise from imaging sensors. Recently, several convolution neural network-based image-denoising methods have achieved remarkable advances. However, it is difficult for a simple denoising network to recover aesthetically pleasing images owing to the complexity of image content. Therefore, this study proposes a multi-branch network to improve the performance of the denoising method. First, the proposed network is designed based on a conventional autoencoder to learn multi-level contextual features from input images. Subsequently, we integrate two modules into the network, including the Pyramid Context Module (PCM) and the Residual Bottleneck Attention Module (RBAM), to extract salient information for the training process. More specifically, PCM is applied at the beginning of the network to enlarge the receptive field and successfully address the loss of global information using dilated convolution. Meanwhile, RBAM is inserted into the middle of the encoder and decoder to eliminate degraded features and reduce undesired artifacts. Finally, extensive experimental results prove the superiority of the proposed method over state-of-the-art deep-learning methods in terms of objective and subjective performances. [ABSTRACT FROM AUTHOR]

Published
2024
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17. A Novel Architecture for an Intrusion Detection System Utilizing Cross-Check Filters for In-Vehicle Networks.

Author

Im, Hyungchul, Lee, Donghyeon, and Lee, Seongsoo

Subjects
MACHINE learning, DENIAL of service attacks, INTRUSION detection systems (Computer security), CYBERTERRORISM
Abstract

The Controller Area Network (CAN), widely used for vehicular communication, is vulnerable to multiple types of cyber-threats. Attackers can inject malicious messages into the CAN bus through various channels, including wireless methods, entertainment systems, and on-board diagnostic ports. Therefore, it is crucial to develop a reliable intrusion detection system (IDS) capable of effectively distinguishing between legitimate and malicious CAN messages. In this paper, we propose a novel IDS architecture aimed at enhancing the cybersecurity of CAN bus systems in vehicles. Various machine learning (ML) models have been widely used to address similar problems; however, although existing ML-based IDS are computationally efficient, they suffer from suboptimal detection performance. To mitigate this shortcoming, our architecture incorporates specially designed rule-based filters that cross-check outputs from the traditional ML-based IDS. These filters scrutinize message ID and payload data to precisely capture the unique characteristics of three distinct types of cyberattacks: DoS attacks, spoofing attacks, and fuzzy attacks. Experimental evidence demonstrates that the proposed architecture leads to a significant improvement in detection performance across all utilized ML models. Specifically, all ML-based IDS achieved an accuracy exceeding 99% for every type of attack. This achievement highlights the robustness and effectiveness of our proposed solution in detecting potential threats. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Real‐Time Monitoring of Multitarget Antimicrobial Mechanisms of Peptoids Using Label‐Free Imaging with Optical Diffraction Tomography (Adv. Sci. 24/2023)

Author

Kim, Minsang, primary, Cheon, Yeongmi, additional, Shin, Dongmin, additional, Choi, Jieun, additional, Nielsen, Josefine Eilsø, additional, Jeong, Myeong Seon, additional, Nam, Ho Yeon, additional, Kim, Sung‐Hak, additional, Lund, Reidar, additional, Jenssen, Håvard, additional, Barron, Annelise E., additional, Lee, Seongsoo, additional, and Seo, Jiwon, additional

Published
2023
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27. Reconstructing Oxygen‐Deficient Zirconia with Ruthenium Catalyst on Atomic‐Scale Interfaces toward Hydrogen Production (Adv. Funct. Mater. 29/2023)

Author

Kim, Mansu, primary, Kim, Seung‐hoon, additional, Park, Jonghwan, additional, Lee, Seongsoo, additional, Jang, Injoon, additional, Kim, Sohui, additional, Lee, Chang Yeon, additional, Kwon, Oh Joong, additional, Ham, Hyung Chul, additional, Hupp, Joseph T., additional, Jung, Namgee, additional, Yoo, Sung Jong, additional, and Whang, Dongmok, additional

Published
2023
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32. Insights into an Indolicidin-Derived Low-Toxic Anti-Microbial Peptide's Efficacy Against Bacterial Cells While Preserving Eukaryotic Cell Viability

Author

Kim, Jihyun, primary, Lee, Jieun, additional, Kang, Eunho, additional, Lee, Kyoungmin, additional, Lee, Kyungeun, additional, Cheon, Yeongmi, additional, Lee, Seongsoo, additional, Kim, Bokyung, additional, Ko, Young Ho, additional, Kim, Jin Hae, additional, In, Suil, additional, and Nam, Chang-Hoon, additional

Published
2023
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38. Low-Power H.264 Deblocking Filter Algorithm and Its SoC Implementation

Author

Kim, Byung-Joo, Koo, Jae-Il, Hong, Min-Cheol, Lee, Seongsoo, 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, Chang, Long-Wen, editor, and Lie, Wen-Nung, editor

Published
2006
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39. Low-Power 32bit×32bit Multiplier Design with Pipelined Block-Wise Shutdown

Author

Jang, Yong-Ju, Shin, Yoan, Hong, Min-Cheol, Wee, Jae-Kyung, Lee, Seongsoo, 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, Bader, David A., editor, Parashar, Manish, editor, Sridhar, Varadarajan, editor, and Prasanna, Viktor K., editor

Published
2005
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40. Pipelined Bidirectional Bus Architecture for Embedded Multimedia SoCs

Author

Seo, Gang-Hoon, Jung, Won-Yong, Lee, Seongsoo, Wee, Jae-Kyung, 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, Yang, Laurence T., editor, Amamiya, Makoto, editor, Liu, Zhen, editor, Guo, Minyi, editor, and Rammig, Franz J., editor

Published
2005
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41. Low-Power MPEG-4 Motion Estimator Design for Deep Sub-Micron Multimedia SoC

Author

Yeon, Gyu-Sung, Jun, Chi-Hun, Hwang, Tae-Jin, Lee, Seongsoo, Wee, Jae-Kyung, 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, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Khosla, Rajiv, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2005
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42. MOLEAS: Information Technology-Based Educational Software Framework

Author

Cho, Su-Jin, Lee, Seongsoo, 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, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Khosla, Rajiv, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2005
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43. Effective Directory Services and Classification Systems for Korean Language Education Internet Portal Sites

Author

Cho, Su-Jin, Lee, Seongsoo, 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, Huang, De-Shuang, editor, Zhang, Xiao-Ping, editor, and Huang, Guang-Bin, editor

Published
2005
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44. Low-Power Video Decoding for Mobile Multimedia Applications

Author

Lee, Seongsoo, Hong, Min-Cheol, 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, Aizawa, Kiyoharu, editor, Nakamura, Yuichi, editor, and Satoh, Shin’ichi, editor

Published
2005
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47. A Modified Gaussian Model-Based Low Complexity Pre-processing Algorithm for H.264 Video Coding Standard

Author

Song, Won-Seon, Kim, Do-Reyng, Lee, Seongsoo, Hong, Min-Cheol, 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, Roca, Vincent, editor, and Rousseau, Franck, editor

Published
2004
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48. Mobile Computer-Assisted Language Learning Courseware for Korean Language Learners

Author

Cho, Su-Jin, Kim, Junhyung, Lee, Seongsoo, 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, Bussler, Christoph, editor, Hong, Suk-ki, editor, Jun, Woochun, editor, Kaschek, Roland, editor, Kinshuk, editor, Krishnaswamy, Shonali, editor, Loke, Seng Wai, editor, Oberle, Daniel, editor, Richards, Debbie, editor, Sharma, Amit, editor, Sure, York, editor, and Thalheim, Bernhard, editor

Published
2004
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50. A Study on the Liability for Damages and the Burden of Proof Relating the Autonomous Car

Author

이성수 ( Lee Seongsoo ) and 임상혁 ( Ihm Sahng Hyeog )

Subjects
General Medicine
Abstract

자율주행자동차 시대의 도래는 임박한 확정적 미래로서 현행 법제에 대한 새로운 도전이 된다. 자동차에 관련된 전통적인 논의는 사고시의 책임 문제이다. 자율주행 자동차가 사고율을 낮춘다는 것은 공인된 인식이라 할 수 있겠지만, 사고가 나지 않는 것은 아니며 실제로 발생하기도 했다. 이에 대한 입법적 대비가 충분히 되어있지 않은 상황이라 할 수 있다. 그러므로 아직은 현행법의 영역에서 해결되어야 한다. 이에 대하여 사고의 발생이 자율주행시스템이 자동차를 제어하는 상황에서인지 아니면 운전자가 주행을 장악하고 있던 때인지에 따라 배상책임을 달리 보아야 한다는 입장에 대하여는 타당하지 않음을 살폈다. 결국은 자동차손배법상 운행자인 자동차보유자가 책임을 진다고 해석해야 한다. 준무과실책임으로 피해를 배상하게 되는 자동차보유자나 보험사등은 자율주행자동차의 결함을 원인으로 들어 제조사에 구상권을 행사할 수 있는지가 문제될 것이며, 이는 이론상으로도 그리고 최근의 입법으로 당연히 행사할 수 있다. 이때 적용될 제조물 책임법은 피해자의 입증 정도를 경감시켜 주는 제3조의2와 제조사의 면책 요건을 규정하는 제4조를 둔다. 여기서 제4조의 제1항 2호에서 입증을 요구하는 “당시의 과학·기술 수준으로는 결함의 존재를 발견할 수 없었다는 사실”에 대해 관련 국제표준과 관련하여 논의하면서 짚어보았다. 그리고 자율주행자동차에 관하여는 핵심 분야에서 국제표준이 없다는 문제점도 지적하였다.

Published
2020

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