A5050426589- Smoking Behavior and Cessation
- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Suicide and Self-Harm Studies
- Health, Environment, Cognitive Aging
- Adaptive Control of Nonlinear Systems
- Digital Mental Health Interventions
- Guidance and Control Systems
- Cardiovascular Health and Risk Factors
- Mental Health Research Topics
- Air Quality and Health Impacts
- Asthma and respiratory diseases
- Substance Abuse Treatment and Outcomes
- Advanced Vision and Imaging
- Indoor and Outdoor Localization Technologies
- Dermatology and Skin Diseases
- Iterative Learning Control Systems
- Robotic Locomotion and Control
- IL-33, ST2, and ILC Pathways
- Obesity, Physical Activity, Diet
- Allergic Rhinitis and Sensitization
- Target Tracking and Data Fusion in Sensor Networks
- School Health and Nursing Education
- Digital Innovation in Industries
- Distributed Sensor Networks and Detection Algorithms
Yonsei University
2024-2025
Kyung Hee University Medical Center
2024-2025
Kyung Hee University
2023-2024
Seoul National University
2011-2019
Background Suicide is the second-leading cause of death among adolescents and associated with clusters suicides. Despite numerous studies on this preventable death, focus has primarily been single nations traditional statistical methods. Objective This study aims to develop a predictive model for adolescent suicidal thinking using multinational data sets machine learning (ML). Methods We used from Korea Youth Risk Behavior Web-based Survey 566,875 aged between 13 18 years conducted external...
Although obesity is known to be related allergic diseases, few studies have investigated the prevalence of diseases in individuals with obesity, especially during COVID-19 pandemic. Thus, this study aimed analyze national trends among and sociodemographic factors.
Background To address gaps in global understanding of cultural and social variations, this study used a high-performance machine learning (ML) model to predict adolescent substance use across three national datasets. Objective This aims develop generalizable predictive for using multinational datasets ML. Methods The the Korea Youth Risk Behavior Web-Based Survey (KYRBS) from South (n=1,098,641) train ML models. For external validation, we (YRBS) United States (n=2,511,916) Norwegian...
For autonomous excavating, the trajectories should be generated for specific tasks an excavator. We generate trajectory using virtual motion camouflage (VMC). generation, kinematics of target excavator are derived and VMC method is formulated. Two simulations conducted. One generation a manipulator to avoid obstacles, other excavate. From results simulations, we can obtain sub-optimized show that used
Abstract Previous studies have examined the prevalence of allergic diseases in adolescents 1–2 years after emergence COVID-19 pandemic. However, more data is needed to understand long-term impact on diseases. Thus, we aimed examine trend atopic dermatitis Korean before and during pandemic across 14 years. Additionally, analyze risk factors (AD) based results. The Disease Control Prevention Agency conducted Korea Youth Risk Behavior Web-based Survey from 2009 2022, which for this study were...
The issue of adolescent secondhand smoke (SHS) is globally significant, given that it serves as a preventable risk factor for disease prevalence and mortality rates among youth. This study evaluates trends in SHS across 27 countries from 2003 to 2021, aiming identify global variations sex-specific differences, providing insights future policy recommendations. data this were collected the Global School-based Student Health Survey conducted by World Organization, 2003–2021. term context...
This paper presents vision-based lifting of a payload using two quadrotor UAVs. It is assumed that the exact position not available. Specifically, for multiple UAVs to approach and connect correct spots on payload, image-based visual servo (IBVS) adopted. A sliding mode controller designed track reference positions velocities generated by IBVS. scenario from taking off payload. The proposed methods settings are validated with an experiment.
In this paper, we investigate a roll-pitch-yaw integrated autopilot for short-range air-to-air missile (SRAAM) in the presence of uncertainties total aerodynamic forces and moments. To design an adaptive controller command following angle attack, sideslip angle, roll dynamic surface control (DSC) is developed using neural network. The explosion complexity conventional backstepping avoided by DSC. Uncertain nonlinearity represented network under universal approximation. achieve performance,...
<sec> <title>BACKGROUND</title> We aimed to address gaps in global understanding of cultural and social variations by employing a high-performance machine learning model predict adolescent substance use across three national datasets. </sec> <title>OBJECTIVE</title> This study aims develop predictive for using multinational datasets learning(ML). <title>METHODS</title> The utilized the Korea Youth Risk Behavior Web-Based Survey(KYRBS) from South Korea(n=1,145,178) train ML models. For...
This study aimed to investigate temporal changes in smoking prevalence among adolescents aged 13-15 across 23 countries and assess individual country-level factors influencing behaviour.
Exploring an unknown environment with multiple robots is enabling technology for many useful applications. This paper investigates decentralized motion planning multi-agent exploration in a field received signal strength (RSS) distribution. The modelled Gaussian process using Bayesian online learning by sharing the information obtained from measurement history of each robot. Then we use mean function to infer RSS source locations. inferred locations are as probability distribution...
This paper suggests a new cooperative transportation system with <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$T$</tex> <sup xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> -multirotors. From the promising characteristics of -multirotor for fully-actuated motion, proposed is able to track desired payload trajectory which impossible conventional underactuated multirotor. Unlike other methods such as slung-load and aerial manipulator, can...
<sec> <title>BACKGROUND</title> Suicide is the second-leading cause of death among adolescents and associated with clusters suicides. Despite numerous studies on this preventable death, focus has primarily been single nations traditional statistical methods. </sec> <title>OBJECTIVE</title> This study aims to develop a predictive model for adolescent suicidal thinking using multinational data sets machine learning (ML). <title>METHODS</title> We used from Korea Youth Risk Behavior Web-based...