Jinhyun Park
Korea Advanced Institute of Science and Technology · Mathematics
About the Lab
Professor Jinhyun Park's research lab specializes in advanced vehicle dynamics and control systems, with a focus on in-wheel electric vehicle technology, integrated torque distribution strategies, and vehicle stability optimization. The lab also engages in theoretical mathematics, particularly in algebraic K-theory and higher Chow groups with modulus, contributing to foundational research in algebraic geometry. Additionally, the lab applies machine learning and deep neural networks to real-world challenges in nuclear nondestructive testing and digital psychiatry, demonstrating a strong interdisciplinary approach. The integration of control engineering, mathematical theory, and AI-driven data analysis defines the lab’s innovative research direction.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15The in-wheel electric vehicle is expected to be a popular next-generation vehicle because an in-wheel system can simplify the powertrain and improve driving performance. In addition, it also has an advantage in that it maximizes driving efficiency through independent torque control considering the motor efficiency. However, there is an instability problem if only the driving torque is controlled in consideration of only the motor efficiency. In this paper, integrated torque distribution strategi
As an attempt to understand motives over $k[x]/(x^m)$, we define the cubical additive higher Chow groups with modulus for all dimensions extending the works of S. Bloch, H. Esnault and K. R\"ulling on $0$-dimensional cycles. We give an explicit construction of regulator maps on the groups of $1$-cycles with an aid of the residue theory of A. Parshin and V. Lomadze.
Accurate and consistent characterization of defects in steam generator tubes (SGT) in nuclear power plants is one of the key issues in the field of nondestructive testing since the large number of signals to be analyzed in a time-limited in-service inspection causes a serious problem in practice. This paper presents an effective approach to this difficult task of automated classification of motorized rotating pancake coil (MRPC) eddy current flaw acquired from tube specimens with deliberated def
We show that the multivariate additive higher Chow groups of a smooth affine k -scheme \mathrm{Spec} (R) essentially of finite type over a perfect field k of characteristic \not = 2 form a differential graded module over the big de Rham–Witt complex \mathbb W_{m}\Omega ^bullet_R. In the univariate case, we show that additive higher Chow groups of \mathrm{Spec} (R) form a Witt-complex over R . We use these structures to prove an étale descent for multivariate additive higher Chow groups.
Introduction: Machine learning (ML) is an effective tool for predicting mental states and is a key technology in digital psychiatry. This study aimed to develop ML algorithms to predict the upper tertile group of various anxiety symptoms based on multimodal data from virtual reality (VR) therapy sessions for social anxiety disorder (SAD) patients and to evaluate their predictive performance across each data type. Methods: This study included 32 SAD-diagnosed individuals, and finalized a dataset
In this paper, an integrated torque distribution strategy was developed to improve the stability and efficiency of the vehicle. To improve the stability of the low friction road surface, the vertical and lateral forces of the vehicle were estimated and the estimated forces were used to determine the driving torque limit. A turning stability index comprised of vehicle velocity and desired yaw rate was proposed to examine the driving stability of the vehicle while turning. The proposed index was u
The industrial use of ultrasonic flaw classification using neural networks in weldments must overcome many challenges. A major constraint is the use of numerous systems, including a combination of transducers and equipment. This causes high complexity in the datasets used in the training of neural networks, which decreases performance. In this study, the performance of a neural network was enhanced using signal processing on an ultrasonic weldment flaw dataset to achieve system invariance. The d
Background: Glycemic control is an effective way to reduce the cardiovascular complications of diabetes, but more than half of the adults with diabetes in Korea are improperly controlling their glycemic levels. The purpose of this study is to identify the factors associated with poor glycemic control in type 2 diabetes patients. Methods: This study analyzed 1,261 subjects �돟30years�돟30years old diagnosed with type 2 diabetes who participated in the fifth Korean National Health and Nutrition Exam
독립 구동형 전동 통합 샤시 시스템은 시스템 내구 성능 관련 신뢰성 확보, 구동 전동기 고장 시차량 안정성 확보, 차륜 중량 증가에 따른 Ride & Handling 성능 저하 등의 문제로 실제 차량에 적용이 지연되고 있다. 본 논문에서는 이러한 문제들 중 Ride & Handling 문제를 해결하기 위해 차량의 주행성능 평가가 가능한 시뮬레이터를 개발하였다. MATLAB/Simulink를 이용하여 독립구동형 전동 샤시 시스템이 적용된 소형 전기 자동차를 모델링 하였으며, 27자유도의 차량 거동 해석이 가능한 CarSim을 이용하여 차량동역학을 모델링 하였다. 개발된 시뮬레이터를 활용하여 차량의 주행 안정성을 향상을 위한 알고리즘을 개발/검증함으로써 차량의 Ride & Handling 성능 저하 문제를 해결하고자 하였다.
We introduce a new algebraic-cycle model for the motivic cohomology theory of truncated polynomials $k[t]/(t^m)$ in one variable. This approach uses ideas from the deformation theory and non-archimedean analysis, and is distinct from the approaches via cycles with modulus. We compute the groups in the Milnor range when the base field is of characteristic $0$, and prove that they give the Milnor $K$-groups of $k[t]/(t^m)$, whose relative part is the sum of the absolute K\"ahler differential forms
Recently, as the demands for the environment-friendly, safety and convenience requirements of vehicles increase, electronic control systems are increasing rapidly. In particular, in systems that affect vehicle performance critically, efficient electronic control devices are simply essential.
BACKGROUND: Kidney transplant recipients (KTRs) are at high risk for cardiovascular disease due to the long-term use of immunosuppressive therapy. This study aims to evaluate the long-term impact of sirolimus on cardiovascular outcomes in Korean KTRs. METHODS: From a cohort of 7180 eligible KTRs identified from 2010 to 2021, 387 KTRs who received sirolimus were included. To control for confounding variables, propensity score matching was applied, and the landmark method was used to address immor
Recently, the global automobile market is rapidly changing in the paradigm to next-generation automobiles with high-efficiency and eco-friendliness due to rising oil prices and strengthened environment regulations. Accordingly, the automobile vendors around the world are competing in development of hybrid vehicles, plug-in hybrid vehicles, fuel cell vehicles, electric vehicles and such various vehicles. Before developing the components that such vehicles are comprised of, however, it is very imp
Research Areas
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