124 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hyundai Motors (South Korea)KR8 papers
- Seoul National UniversityKR6 papers
- Advanced Institute of Convergence TechnologyKR3 papers
- Chalmers University of TechnologySE1 paper
- Daegu Gyeongbuk Institute of Science and TechnologyKR1 paper
- Foundry (United Kingdom)GB1 paper
- Gwangju Institute of Science and TechnologyKR1 paper
- Institute for Basic ScienceKR1 paper
- Kavli Energy NanoScience InstituteUS1 paper
- Korea Advanced Institute of Science and TechnologyKR1 paper
- Korea Institute of Science and TechnologyKR1 paper
- Korea Institute of Science & Technology InformationKR1 paper
13 papers
Visualizing Millisecond Atomic Dynamics of Nanocrystals in Liquid
Sungsu Kang, Jinho Rhee, Joodeok Kim +11
Atomic structures of nanomaterials are inherently dynamic, continuously reshaped through interactions with chemical species and external stimuli. Such dynamics are further amplifie…
Ensuring superior learning outcomes and data security for authorized learner
Jeongho Bang, Wooyeong Song, Kyujin Shin +1
The learner's ability to generate a hypothesis that closely approximates the target function is crucial in machine learning. Achieving this requires sufficient data; however, unaut…
Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks
Myeong-Su Lee, Jaemin Oh, Dong-Chan Lee +3
In this work, we address the challenges posed by the high nonlinearity of the Butler-Volmer (BV) equation in forward and inverse simulations of the pseudo-two-dimensional (P2D) mod…
MOB-Net: Limb-modularized Uncertainty Torque Learning of Humanoids for Sensorless External Torque Estimation
Daegyu Lim, Myeong-Ju Kim, Junhyeok Cha +1
Momentum observer (MOB) can estimate external joint torque without requiring additional sensors, such as force/torque or joint torque sensors. However, the estimation performance o…
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding +4
In the investment industry, it is often essential to carry out fine-grained company similarity quantification for a range of purposes, including market mapping, competitor analysis…
BERN2: an advanced neural biomedical named entity recognition and normalization tool
Mujeen Sung, Minbyul Jeong, Yonghwa Choi +3
In biomedical natural language processing, named entity recognition (NER) and named entity normalization (NEN) are key tasks that enable the automatic extraction of biomedical enti…
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Minwoo Lee, Seungpil Won, Juae Kim +3
Fact verification datasets are typically constructed using crowdsourcing techniques due to the lack of text sources with veracity labels. However, the crowdsourcing process often p…
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving
Jinhan Kim, Jeongil Ju, Robert Feldt +1
Deep Neural Networks (DNNs) are rapidly being adopted by the automotive industry, due to their impressive performance in tasks that are essential for autonomous driving. Object seg…
Online Multiple Pedestrians Tracking using Deep Temporal Appearance Matching Association
Young-Chul Yoon, Du Yong Kim, Young-min Song +2
In online multi-target tracking, modeling of appearance and geometric similarities between pedestrians visual scenes is of great importance. The higher dimension of inherent inform…
Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log data: a case study for the lane keeping assistance system
Kyudong Park, Jiyoung Kwahk, Sung H. Han +6
Although the automotive industry has been among the sectors that best-understands the importance of drivers' affect, the focus of design and research in the automotive field has lo…
Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors
Junsoo Kim, Chanhwa Lee, Hyungbo Shim +2
This paper presents a detection algorithm for sensor attacks and a resilient state estimation scheme for a class of uniformly observable nonlinear systems. An adversary is supposed…
On Redundant Observability: From Security Index to Attack Detection and Resilient State Estimation
Chanhwa Lee, Hyungbo Shim, Yongsoon Eun
The security of control systems under sensor attacks is investigated. Redundant observability is introduced, explaining existing security notions including the security index, atta…
Semidefinite Programming Approach to Gaussian Sequential Rate-Distortion Trade-offs
Takashi Tanaka, Kwang-Ki K. Kim, Pablo A. Parrilo +1
Sequential rate-distortion (SRD) theory provides a framework for studying the fundamental trade-off between data-rate and data-quality in real-time communication systems. In this p…