유동현 교수
Dong Hyun Yoo
서울대학교 · 의학
연구실 소개
유동현 교수의 연구실은 제어공학과 생물정보학을 융합한 다학제적 연구를 수행하고 있습니다. 특히 선형 능동왜곡제어(LADRC)를 활용한 정밀 제어 기술과 생물망 네트워크 분석을 통해 유전자 조절 네트워크 복원 및 기능 예측에 기여하고 있습니다. 또한 눈의 시선 추적 기술 개발을 통해 인간-기계 상호작용의 정밀도를 향상시키는 응용 연구도 진행 중입니다. 이와 같은 연구들은 실생활 산업 응용과 의료 분야의 정밀의료에 기여할 잠재력을 지닙니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15In current industrial control applications, the proportional + integral + derivative (PID) control is still used as the leading tool, but constructing controller requires precise mathematical model of plant, and tuning the parameters of controllers is not simple to implement. Motivated by the gap between theory and practice in control problems, linear active disturbance rejection control (LADRC) addresses a set of control problems in the absence of precise mathematical models. LADRC has two para
We have demonstrated that incorporating hub gene information in estimating network structures can improve the performance of the existing methods.
In this paper, we suggest a new system to estimate the direction of a user's eye gaze. Our system consisted of five IR LEDs and a CCD camera. The IR LEDs, which are attached to the corners of a computer monitor, make glints on the surface of the cornea of the eye. If the user sees the monitor, the center of a pupil is always in a polygon that is made by the glints. Consequently, the direction of the user's eye gaze can be computed without computing the geometrical relation between the eye, the c
Studying biological networks, such as protein-protein interactions, is key to understanding complex biological activities. Various types of large-scale biological datasets have been collected and analyzed with high-throughput technologies, including DNA microarray, next-generation sequencing, and the two-hybrid screening system, for this purpose. In this review, we focus on network-based approaches that help in understanding biological systems and identifying biological functions. Accordingly, t
N-butyl cyanoacrylate is a safe and effective agent for embolization in patients with major hemoptysis.
As the number of working hours per week increased, the hazard ratio for diagnosis of hypertension significantly increased. This result suggests a positive association between overtime work and the risk of hypertension.
In this article, we propose a majorization–minimization (MM) algorithm for high-dimensional fused lasso regression (FLR) suitable for parallelization using graphics processing units (GPUs). The MM algorithm is stable and flexible as it can solve the FLR problems with various types of design matrices and penalty structures within a few tens of iterations. We also show that the convergence of the proposed algorithm is guaranteed. We conduct numerical studies to compare our algorithm with other exi
Eye gaze estimation is to detect the eye gaze of human. By detection of the eye gaze, a machine can read the intention. Eye gaze is very useful to read human intention. In this paper, a new eye gaze estimation method is suggested. The method allows large head movement without knowledge of eye pose. Also, feature detection is very important to achieve good performance. However, pupil detection is difficult because pupil color is similar to iris color. This paper proposes a robust feature detectio
For a sparsely connected and balanced network with unknown interaction delays and 1D elements, we show that driving the network to steady states can reveal its cooperative architecture, i.e., the dynamics and output functions of individual nodes and the connection topology. Our approach is robust and can be extended to (sub)networks with a small topology uncertainty. Some examples are presented to illustrate the proposed identification method.
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