54 Result(s)
within
Conference Paper
Tae-** Jeong
-
Chapter and Conference Paper
Post-processing Using Spatial Relationships for Button Recognition
With rapid technological advances, the autonomous mobile robot market has grown remarkably in recent years. However, these autonomous mobile robots and their services still need to improve in the real world. A...
-
Chapter and Conference Paper
Efficient Machine Learning-Based Prediction of CYP450 Inhibition
Cytochrome P450 (CYP450) enzymes are crucial in drug metabolism and development. They are mainly involved in drug efficacy and toxicity, which are significant concerns while exploring potential pharmaceutical ...
-
Chapter and Conference Paper
Discrimination of Chronic Liver Disease in Non-contrast CT Images using CNN-Deep Learning
Recently, there have been considerable efforts to develop non-invasive image-based method for diagnosis, staging, and monitoring of chronic liver disease (CLD). This study developed a deep learning (DL) algori...
-
Chapter and Conference Paper
Structural Safety Assessment of Lift Apparatus on Jack-Up Barge for Eco-Friendly Offshore Installation
Jack-up barge, one of the representative special vessels for installation and maintenance of offshore structures such as offshore plants, offshore facilities, and offshore renewable energy systems, secures the...
-
Chapter and Conference Paper
Deep Learning-Based Experimentation for Predicting Secondary Structure of Amino Acid Sequence
The growth of biological databases has been increased in the past decades makes a protein structure prediction is one of the most important and challenging problems in Bioinformatics. The recent growth of Neur...
-
Chapter and Conference Paper
PCA and K-means Based Genome Analysis for Hymenobacter sp. PAMC26628
The advancement of big data in biology, has made that the computational tools will become increasingly important and will be widely incorporated with various of analysis stream. Bioinformatics and particularly...
-
Chapter and Conference Paper
Development of Web-Based Management System and Dataset for Radiology-Common Data Model (R-CDM) and Its Clinical Application in Liver Cirrhosis
The Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) used in distributed research networks has low coverage of clinical data and does not reflect the latest trends of precision medicine....
-
Chapter and Conference Paper
Analysis and Classification of Urinary Stones Using Deep Learning Algorithm: A Clinical Application of Radiology-Common Data Model (R-CDM) Data Set
Recent advances in artificial intelligence have been used for a variety of clinical interests, such as lesion detection, segmentation, classification, and differentiation in medical images, and a great deal of...
-
Chapter and Conference Paper
Real Time 3D Pose Estimation of Both Human Hands via RGB-Depth Camera and Deep Convolutional Neural Networks
3D human hand pose estimation (HPE) is an essential methodology for smart human computer interfaces. Especially, 3D hand pose estimation without attached or hand-held sensors provides a more natural and conven...
-
Chapter and Conference Paper
A Study of Open Big-Data Platform Architecture for Housing Market Analysis
There has been increased demand for the development of a system that provides easily accessible open-type housing market information and utilizes that system using large data; the objectives are to increase t...
-
Chapter and Conference Paper
MapReduce-Based Bulk-Loading Algorithm for Fast Search for Billions of Triples
Due to the development of IT and scientific technology, huge amounts of data are continuously being created and the big data era can be said to have arrived. Therefore, triple store inserting and inquiring int...
-
Chapter and Conference Paper
Fast Mode Decision Algorithm Based on Adaptive Search Direction for Combined Scalability in Scalable Video Coding
Scalable Video Coding (SVC) is an extension of H.264/AVC for providing several scalabilities. In the SVC, there are three types of scalabilities such as temporal, spatial, and quality scalabilities. These type...
-
Chapter and Conference Paper
Evaluation of Dosimetric Impact in Volumetric Modulated Arc Therapy Using Rolled-up Gafchromic Film and Gamma Analysis
Evaluation for gamma models on dose evaluation of volumetric modulated arc therapy (VMAT) fields was investigated depending on analytic models and variable gamma parameters. Gamma evaluation was applied to com...
-
Chapter and Conference Paper
Mobile Motion Sensor-Based Human Activity Recognition and Energy Expenditure Estimation in Building Environments
This paper presents a work on human activity recognition (HAR) using motion sensors embedded in a smart phone in building environments. Our HAR system recognizes general human activities including walking, goi...
-
Chapter and Conference Paper
Modeling of the Lithium Battery Cell for Plug-In Hybrid Electric Vehicle Using Electrochemical Impedance Spectroscopy
Online simulations are utilized to reduce time and cost in develo** and optimizing the performance of plug-in hybrid electric vehicle (PHEV) and electric vehicles (EV) systems. One of the most important fact...
-
Chapter and Conference Paper
A Study on Battery Model Verification Using Battery HILS
The development of technology for environmentally friendly cars such as plug-in hybrid electric vehicles (PHEVs) and electric vehicles (EVs) has increasingly progressed according to the conversion of vehicle d...
-
Chapter and Conference Paper
A Study on Effective Thermal-Shock Test Improvement of Battery Packs for PHEVs
While there are many test items to secure a vehicle’s reliability, this study reviews the test method for Thermal-shock Test, one of climatic tests to evaluate the damage caused by thermal expansion coefficien...
-
Chapter and Conference Paper
Spatio-temporal Search Techniques for the Semantic Web
Recently, a study on geo semantic web has been actively conducted. Geo semantic web is intelligence geography information web service technology that is combined geospatial web with semantic web. It can effici...
-
Chapter and Conference Paper
Multi-class Classifier-Based Adaboost Algorithm
A multi-class classifier-based AdaBoost algorithm for the efficient classification of multi-class data is proposed in this paper. The traditional AdaBoost algorithm is basically a binary classifier and it has ...
-
Chapter and Conference Paper
Human Activity Recognition via the Features of Labeled Depth Body Parts
This paper presents a work on labeled depth body parts based human activity recognition. In this work, we label depth silhouettes for various specific body parts via trained random forests. From the labeled bo...
