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...
Analysis and optimization for non-orthogonal pilot sequence sets in massive MIMO systems Author: Hong-Jae Lee , Dohyun Kwun , Sung Whan Yoon , Jin-Ho Chung , Seok-Ki Ahn Abstract In modern wireless communication systems, orthogonal pilot signals has been generally employed in estimation of the channel state information. However, orthogonal...
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...
Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds IEEE Robotics and Automation Letters ( IF 5.2 ) Pub Date: 2023-11-01 , DOI:10.1109/lra.2023.3329365 Oggyu Lee, Kyungdon Joo, Jae-Young Sim 3D point clouds are widely used for robot perception and navigation. LiDAR sensors can provide large scale 3D point clouds (LS3DPC) with a certain level...
Semi-parametric contextual bandits with graph-Laplacian regularization Author: Young-Geun Choi , Gi-Soo Kim , Seunghoon Paik , Myunghee Cho Paik Abstract Non-stationarity is ubiquitous in human behavior and addressing it in the contextual bandits is challenging. Several works have addressed the problem by investigating semi-parametric contextual bandits and warned...
Effective and efficient core computation in signed networks Author: Junghoon Kim, Hyun Ji Jeong , Sungsu Lim , Jungeun Kim Abstract With the proliferation of mobile technology and IT development, people can use social network services anywhere and anytime. Among many social network mining problems, identifying cohesive subgraphs has attracted...
Quantifying incident impacts and identifying influential features in urban traffic networks Author: JuYeong Lee,JiIn Kwak,YongKyung Oh &Sungil Kim Abstract Traffic incidents are a common occurrence in urban traffic networks, but predicting their impacts is challenging because of network complexity and the dynamic spatial and temporal dependencies inherent in...
Chemistry-informed machine learning: Using chemical property features to improve gas classification performance Author : Yeram Kim , Chiehyeon Lim , Junghye Lee , Sungil Kim , Sewon Kim , Dong-Hwa Seo Abstract Chemical recognition using machine learning based on detection by gas sensors relies on the accuracy and...
Development of human-in-the-loop experiment system to extract evacuation behavioral features: A case of evacuees in nuclear emergencies Author： Younghee Park , Soohyung Park , Jeongsik Kim , Byoung-jik Kim , Namhun Kim Abstract Evacuation time estimation (ETE) is crucial for the effective implementation of resident protection measures as...
Towards Visualization Thumbnail Designs That Entice Reading Data-Driven Articles Hwiyeon Kim, Joohee Kim, Yunha Han, Hwajung Hong, Oh-Sang Kwon, Young-Woo Park, Niklas Elmqvist, Sungahn Ko, Bum Chul Kwon As online news increasingly include data journalism, there is a corresponding increase in the incorporation of visualization in article...
