연구 성과

From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product-service systems in Industry 4.0 (Comput. Ind.), Prof. Chiehyeon Lim

From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product–service systems in Industry 4.0 Author : Minjun Kim, Chiehyeon Lim, Juliana Hsuan Abstract Product-based companies worldwide attempt to integrate services into their offerings, embarking on “servitization” as a key strategy. These days, the acceleration...

TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model Using MRI (IEEE Access), Prof. Jimin Lee

TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model Using MRI Author: YUNKYOUNG JUN , SEOKHA JIN  , NOEHYUN MYUNG , JIWOO JEONG , JIMIN LEE, AND HYUNG JOON CHO ABSTRACT Monitoring tumor volume changes in response to therapeutic...

Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators (IEEE Trans. Comput-Aided Des. Integr. Circuits Syst.), Prof. Jongeun Lee

Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators Author: Sugil Lee , Mohammed E. Fouda , Jongeun Lee , Member, IEEE, Ahmed M. Eltawil , Senior Member, IEEE, and Fadi Kurdahi , Fellow, IEEE Abstract—Recently, resistive RAM (ReRAM)-based hardware accelerators showed unprecedented performance...

A product acceptance decision-making method based on process capability with considering gauge measurement errors (Commun. Stat.-Theory Methods), Prof. Junghye Lee

Title A product acceptance decision-making method based on process capability with considering gauge measurement errors Author Rakhmawati, Dwi Yuli; Lee, Junghye Issue Date 2023-05 Publisher Marcel Dekker Inc. Citation COMMUNICATIONS IN STATISTICS—THEORY AND METHODS, v.52, no.8, pp.2646 - 2665 Abstract An acceptance sampling plan...

Vision-based Approximate Estimation of Muscle Activation Patterns for Tele-Impedance (IEEE Robot. Autom. Lett.), Prof. Hyemin Ahn

Vision-Based Approximate Estimation of Muscle Activation Patterns for Tele-Impedance Hyemin Ahn; Youssef Michel; Thomas Eiband; Dongheui Lee   Abstract: It lies in human nature to properly adjust the muscle force to perform a given task successfully. While transferring this control ability to robots has been a big concern among researchers, there is...