Search results for: Jun Ki Lee

Items from 1 to 13 out of 13 results

article

Experimental Evaluation of Vibration Response of External Post-Tensioned Tendons with Corrosion

Jun Ki Lee, Jun Won Kang

KSCE Journal of Civil Engineering > 2019 > 23 > 6 > 2561-2572

This study investigates the vibration responses of external post-tensioned (PT) tendons based on experimental data. The vibration signals measured from four large-scale external post-tensioned tendon specimens subjected to localized corrosion until severe level of damage were accumulated. A series of impact tests was conducted to measure lateral vibration signals and the variation in the tension was...

article

Career motivation of secondary students in STEM: a cross-cultural study between Korea and Indonesia

Sein Shin, Arif Rachmatullah, Fenny Roshayanti, Minsu Ha, more

International Journal for Educational and Vocational Guidance > 2018 > 18 > 2 > 203-231

The purpose of this study was to understand the career motivation of secondary students in science, technology, engineering, and mathematics (STEM) by comparing Korean and Indonesian students. Effects of gender and educational level on students’ STEM career motivation were also examined. To test for differences, we used Rasch analysis, 3-way ANOVA, correlation analysis, and multiple group path analysis...

chapter

Optical access technologies for 5G mobile communication networks

Hwan Seok Chung, Han Hyub Lee, Keong-Hwan Doo, Kwangok Kim, more

2017 IEEE Photonics Society Summer Topical Meeting Series (SUM) > 39 - 40

2017 IEEE Photonics Society Summer Topical Meeting Series (SUM)

We reviews optical access technologies for 5G mobile communication networks such as mobile data compression, high-speed passive optical network (PON), and analog radio over fiber (RoF) technologies. Recent feasibility studies for future optical access network with optical mobile convergence are discussed.

article

Bonding behavior of lap-spliced reinforcing bars embedded in Ultra-high Strength Concrete with steel fibers

Jun-Ki Lee

KSCE Journal of Civil Engineering > 2016 > 20 > 1 > 273-281

The bonding behavior of reinforcing bars embedded in Ultra-high Strength Concrete (UHSC) with steel fibers is discussed. Ten steel-fiber-reinforced UHSC specimens including three UHSC beams and seven lap-spliced UHSC beams were fabricated to investigate the bonding behavior. The compressive strengths of these specimens ranged from 130 to 150 MPa along with volume of steel fibers from 0 to 2%. The...

article

A case of bilateral enlarged vestibular aqueducts and unilateral hearing loss at birth

Eun-Jung Lim, Hun-Po Cho, Jun-Ki Lee, Tae Hoon Kim, more

International Journal of Pediatric Otorhinolaryngology Extra > 2014 > 9 > 3 > 128-131

Screening of newborn hearing is nowadays widespread, and as many as 3.4% of all screened infants are found to have unilateral hearing loss. However, we, as clinicians and parents, usually dismiss the severity of unilateral hearing loss in pediatric patients. Recently, we experienced the case of unilateral hearing loss since birth in a 2-year-old girl who was finally found to have bilateral enlarged...

article

Learning-Related Changes in Adolescents’ Neural Networks During Hypothesis-Generating and Hypothesis-Understanding Training

Jun-Ki Lee, Yongju Kwon

Science & Education > 2012 > 21 > 1 > 1-31

Fourteen science high school students participated in this study, which investigated neural-network plasticity associated with hypothesis-generating and hypothesis-understanding in learning. The students were divided into two groups and participated in either hypothesis-generating or hypothesis-understanding type learning programs, which were composed of 12 topics taught over a 12-week period. To...

article

What Neural Substrates Trigger the Adept Scientific Pattern Discovery by Biologists?

Jun-Ki Lee, Yong-Ju Kwon

Journal of Science Education and Technology > 2011 > 20 > 2 > 117-122

This study investigated the neural correlates of experts and novices during biological object pattern detection using an fMRI approach in order to reveal the neural correlates of a biologist’s superior pattern discovery ability. Sixteen healthy male participants (8 biologists and 8 non-biologists) volunteered for the study. Participants were shown fifteen series of organism pictures and asked to detect...

article

Changes in brain activation induced by the training of hypothesis generation skills: An fMRI study

Yong-Ju Kwon, Jun-Ki Lee, Dong-Hoon Shin, Jin-Su Jeong

Brain and Cognition > 2009 > 69 > 2 > 391-397

The aim of the present study is to investigate the learning-related changes in brain activation induced by the training of hypothesis generation skills regarding biological phenomena. Eighteen undergraduate participants were scanned twice with functional magnetic resonance imaging (fMRI) before and after training over a period of 2 months. The experimental group underwent eight biological hypothesis...

chapter

The design of a semi-autonomous robot avatar for family communication and education

Jun Ki Lee, R.L. Toscano, W.D. Stiehl, C. Breazeal

RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication > 166 - 173

2008 RO-MAN: The 17th IEEE International Symposium on Robot and Human Interactive Communication

Robots as an embodied, multi-modal technology have great potential to be used as a new type of communication device. In this paper we outline our development of the Huggable robot as a semi-autonomous robot avatar for two specific types of remote interaction - family communication and education. Through our discussion we highlight how we have applied six important elements in our system to allow for...

article

Regional grey matter abnormalities in juvenile myoclonic epilepsy: A voxel-based morphometry study

Ji Hyun Kim, Jun Ki Lee, Seong-Beom Koh, Sang-Ahm Lee, more

NeuroImage > 2007 > 37 > 4 > 1132-1137

Visual assessment of structural MRI is, by definition, normal in patients with juvenile myoclonic epilepsy (JME), a major subsyndrome of idiopathic generalized epilepsy (IGE). However, recent quantitative MRI studies have shown structural abnormalities in cortical and thalamic grey matter (GM) in JME. Voxel-based morphometry (VBM) is a fully automated, unbiased, operator-independent MRI analysis technique...

article

A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom

Jun Ki Lee, Jong-Min Lee, June Sic Kim, In Young Kim, more

NeuroImage > 2006 > 31 > 2 > 572-584

Cortical surface reconstruction is important for functional brain mapping and morphometric analysis of the brain cortex. Several methods have been developed for the faithful reconstruction of surface models which represent the true cortical surface in both geometry and topology. However, there has been no explicit comparison study among those methods because each method has its own procedures, file...

article

Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification

June Sic Kim, Vivek Singh, Jun Ki Lee, Jason Lerch, more

NeuroImage > 2005 > 27 > 1 > 210-221

Accurate reconstruction of the inner and outer cortical surfaces of the human cerebrum is a critical objective for a wide variety of neuroimaging analysis purposes, including visualization, morphometry, and brain mapping. The Anatomic Segmentation using Proximity (ASP) algorithm, previously developed by our group, provides a topology-preserving cortical surface deformation method that has been extensively...

article

Efficient and objective methods for quantitative analysis using segmentation: Practical use for mental disease diagnosis

Ui-Cheul Yoon, Jun-Ki Lee, Jae-Seok Kim, In-Young Kim, more

NeuroImage > 2001 > 13 > 6 Supplement > 289

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