134 Result(s)
within
Conference Paper
** Tae Kim
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Chapter and Conference Paper
A Study on the Static and Dynamic Performance Evaluation of BH Girder Through Full-Scale Experiments
In this study, we tried to verify the performance of the BH girder, a new type of prestressed concrete (PSC) bulb-T shape with half-slab girder, as a part of the beneficial solution of long span highway and ra...
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Chapter and Conference Paper
Experimental Investigation of Sand Seam Effects on Consolidation Behavior of Vertical Drain-Installed Soft Soils
Thin-layered sand seam in soft deposits can be formed artificially or naturally. It affects significantly the consolidation behavior of subsoil. To investigate the consolidation settlement of soft deposits wit...
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Chapter and Conference Paper
Assessing Landslide Susceptibility in Korea Using a Deep Neural Network
Rainfall is a key triggering factor for landslides. Most of landslides in Korea were triggered by heavy rainfall. In this study, we used a deep neural network (DNN) to assess landslide spatial probability at M...
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Chapter and Conference Paper
Optimal Controller Selection Scheme Using Artificial Bee Colony and Apriori Algorithms in SDN
Software Defined Networking (SDN) is one of the most recent Internet technology that manages the large scale network. SDN decouples the control plane from data plane, which simplifies the logic of network devi...
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Chapter and Conference Paper
Application of Novel Methods to Compare the Flexibility of Residential Space Heating Systems
Due to increased electrification and renewable generation, electricity consumption alone is no longer sufficient to assess the performance and capabilities of heating, ventilation, and air-conditioning systems...
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Chapter and Conference Paper
Fire Risk Prediction Using Building Information and Machine Learning Methods
In South Korea, there are more than 40,000 fire accidents every year, causing considerable damage to people and property.
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Chapter and Conference Paper
Differences in Smartphone Overdependence by Type of Smartphone Usage: Decision Tree Analysis
Smartphone technology has grown and spread rapidly to exceed other simpler means of communication and become an essential aspect of people’s daily lives. Whilst smartphones offer various services to consumer l...
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Chapter and Conference Paper
How Are the Issues of Poverty Changing with COVID-19 in South Korea?
This research attempts to extract major topics from the poverty-rela...
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Chapter and Conference Paper
Remote Respiration Monitoring of Moving Person Using Radio Signals
Non-contact respiration rate measurement (nRRM), which aims to monitor one’s breathing status without any contact with the skin, can be utilized in various remote applications (e.g., telehealth or emergency de...
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Chapter and Conference Paper
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
Chest computed tomography (CT) has played an essential diagnostic role in assessing patients with COVID-19 by showing disease-specific image features such as ground-glass opacity and consolidation. Image segme...
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Chapter and Conference Paper
Vertical Stress Distribution on Stiffened Deep Cement Mixing Column Under Embankment Load
A series of numerical analysis was performed to investigate the vertical stress distribution on stiffened deep cement mixing (SDCM) column under embankment load. The transfer of vertical load on SDCM column wa...
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Chapter and Conference Paper
Accelerated Cyclic Corrosion Testing of Steel Member Inside Concrete
Steel members in composite structures of steel and concrete, such as composite girder bridges, guardrails, and steel piers, are often partially embedded in concrete members. The corroded steel members inside c...
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Chapter and Conference Paper
OperA: Attention-Regularized Transformers for Surgical Phase Recognition
In this paper we introduce OperA, a transformer-based model that accurately predicts surgical phases from long video sequences. A novel attention regularization loss encourages the model to focus on high-quali...
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Chapter and Conference Paper
A Preliminary Work: Mixed Reality-Integrated Computer-Aided Surgical Navigation System for Paranasal Sinus Surgery Using Microsoft HoloLens 2
Paranasal sinus surgery has high demands for minimal invasion and safety. Computer-aided surgical navigation (CSN) applications have been recognized as the standard of the surgical practice; the operations of ...
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Chapter and Conference Paper
Spatio-Temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
Segmentation of Multiple Sclerosis (MS) lesions in longitudinal brain MR scans is performed for monitoring the progression of MS lesions. We hypothesize that the spatio-temporal cues in longitudinal data can a...
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Chapter and Conference Paper
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
Neural networks have demonstrated remarkable performance in classification and regression tasks on chest X-rays. In order to establish trust in the clinical routine, the networks’ prediction mechanism needs to...
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Chapter and Conference Paper
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
Convolutional neural networks are showing promise in the automatic diagnosis of thoracic pathologies on chest x-rays. Their black-box nature has sparked many recent works to explain the prediction via input fe...
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Chapter and Conference Paper
Study on the Skin-Friction Drag Reduction by Air Injection Using Computational Fluid Dynamics-Based Simulations
The skin-friction drag reduction by air injection have been investigated numerically for the turbulent boundary layers first on the underside of flat horizontal surfaces and secondly on the bottom of a real LN...
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Chapter and Conference Paper
A Resampling Based Semi-supervised Learning Analysis for Identifying School Needs of Backpack Programs
School-based backpack programs, which supply children with food to take home on weekends and holidays, have shown positive effects evidenced by families and schools’ reports. The selection priority is a big is...
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Chapter and Conference Paper
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks
Automatic surgical phase recognition is a challenging and crucial task with the potential to improve patient safety and become an integral part of intra-operative decision-support systems. In this paper, we pr...
