Jong‐Sub Lee
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View article: A Virtual Reality-Based Multimodal Approach to Diagnosing Panic Disorder and Agoraphobia Using Physiological Measures: A Machine Learning Study
A Virtual Reality-Based Multimodal Approach to Diagnosing Panic Disorder and Agoraphobia Using Physiological Measures: A Machine Learning Study Open
Objectives: Virtual reality (VR) has emerged as a promising tool for assessing anxiety-related disorders through immersive exposure and physiological monitoring. This study aimed to evaluate whether multimodal data, including heart rate va…
View article: Integrated porosity estimation of partially saturated sand–hematite mixtures using electrical resistivity and elastic wave velocity
Integrated porosity estimation of partially saturated sand–hematite mixtures using electrical resistivity and elastic wave velocity Open
For effective maintenance and failure prevention of mine tailing in geo-resource field, it is essential to assess porosity in both partially and fully-saturated tailing dams. This study aims to evaluate sand-hematite mixtures' porosity, co…
View article: A comprehensive consideration of friction effect on small-to-large strain stiffness: floating versus fixed-ring oedometer cells
A comprehensive consideration of friction effect on small-to-large strain stiffness: floating versus fixed-ring oedometer cells Open
We investigate the deformation and shear wave velocity in floating- and fixed-ring cells when the specimen diameter-to-height ratio is 1.0 and 1.3. In this study, floating- and fixed-ring oedometer cells are combined with bender elements f…
View article: Enhanced coherence and layer-selective charge order in a trilayer cuprate superconductor
Enhanced coherence and layer-selective charge order in a trilayer cuprate superconductor Open
Trilayer cuprates hold the record for the highest superconducting critical temperatures ($T_{\text{c}}$), yet the underlying mechanism remains elusive. Using time- and angle-resolved photoemission spectroscopy (tr-ARPES), we uncover a stri…
View article: Experimental simulation for pile integrity: Electromagnetic assessment and pore topology analyses
Experimental simulation for pile integrity: Electromagnetic assessment and pore topology analyses Open
This paper describes the assessment of concrete pile integrity using time domain reflectometry. Miniature concrete piles with voids or concrete quality defects were prepared for this experiment. Two types of transmission lines (with and wi…
View article: Factors affecting the expansion ratio and flow consistency of expandable foam grout for subsurface improvement
Factors affecting the expansion ratio and flow consistency of expandable foam grout for subsurface improvement Open
Highly porous cementitious materials have been utilized in various geotechnical applications, such as filling subsurface cavities, backfilling, and enhancing loose layers. In particular, expandable foam grout (EFG) has significant potentia…
View article: Prediction of flowability and strength in controlled low-strength material through regression and oversampling algorithm with deep neural network
Prediction of flowability and strength in controlled low-strength material through regression and oversampling algorithm with deep neural network Open
In urban areas, backfilling voids with complex and narrow shapes necessitates alternative backfill methods and materials, such as controlled low-strength materials (CLSMs), to minimize ground subsidence caused by improper compaction of bac…
View article: Nondestructive evaluation of grout defect in rock bolt using electromagnetic waves
Nondestructive evaluation of grout defect in rock bolt using electromagnetic waves Open
This study aims to inspect grout defects in rock bolts using electromagnetic (EM) waves. The experiments are conducted using one intact rock bolt and eight defective rock bolts with defect ratios (DR) of 10–50%. A two-conductor transmissio…
View article: Enhancing anomaly detection in ground-penetrating radar images through reconstruction loss and high-variability
Enhancing anomaly detection in ground-penetrating radar images through reconstruction loss and high-variability Open
The aim of this study is to enhance the anomaly detection capabilities of ground-penetrating radar (GPR) images by adopting a novel loss function composed of cross-entropy and reconstruction loss. The reconstruction loss measures the error…
View article: Investigation of diatomaceous sand using elastic and electromagnetic waves in oedometer tests
Investigation of diatomaceous sand using elastic and electromagnetic waves in oedometer tests Open
The small-strain and electromagnetic behaviors of soils significantly change due to compression. The objective of this study was to investigate the small-strain stiffness and electrical resistivity of diatomaceous sand by modifying the con…
View article: Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques
Geoacoustic and geophysical data‐driven seafloor sediment classification through machine learning algorithms with property‐centered oversampling techniques Open
This study aims to classify seafloor sediments using physics‐inspired and data‐driven soil models combined with machine learning algorithms and oversampling techniques. The field data used for the input variables include porosity, S‐ and P…
View article: Reason for less water supply shortages under climate change condition: evaluation of future rainfall data
Reason for less water supply shortages under climate change condition: evaluation of future rainfall data Open
This study evaluates the appropriateness of general circulation model-based future rainfall data used in Korea. The evaluation is done through the analysis of long-term occurrence characteristics of dry years, as well as the analysis of th…
View article: Compressibility and small strain stiffness characteristics of silt-hematite mixtures
Compressibility and small strain stiffness characteristics of silt-hematite mixtures Open
Iron mining waste is disposed of near mines and forms iron ore (hematite) tailings dams. Furthermore, the distinctive characteristics of hematite particles can affect the geotechnical properties of soil. This study aimed to experimentally …
View article: Deep learning approach for GPR image classification
Deep learning approach for GPR image classification Open
The objectives of this study are to classify ground penetrating radar (GPR) images using a deep learning network trained on raw GPR images and to verify the performance of GPR images treated with white noise. The image dataset includes man…
View article: Evaluation of strength and volumetric water content using instrumented TDR dynamic cone penetrometer
Evaluation of strength and volumetric water content using instrumented TDR dynamic cone penetrometer Open
The objective of this study is to evaluate the strength and volumetric water content of ground using an instrumented TDR dynamic cone penetrometer (ITDP). The ITDP, which is developed to simultaneously measure two parameters on a borehole,…
View article: Displacement field measurement of stacked geotextile tubes by digital image correlation
Displacement field measurement of stacked geotextile tubes by digital image correlation Open
Displacements often need to be measured to evaluate the stability of earth dams. Various instruments for measuring the displacement exist, but most contacting position sensors can measure the displacement only at a certain position. Digita…