Byoung‐Ju Yun

ORCID: 0000-0002-9898-2262
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Color Science and Applications
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Industrial Vision Systems and Defect Detection
  • Context-Aware Activity Recognition Systems
  • Advanced Image Fusion Techniques
  • Hand Gesture Recognition Systems
  • Image Processing Techniques and Applications
  • Medical Image Segmentation Techniques
  • Advanced Data Compression Techniques
  • Robotics and Automated Systems
  • Optical Coherence Tomography Applications
  • Video Coding and Compression Technologies
  • Advanced Measurement and Detection Methods
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Processing Techniques
  • Multimedia Communication and Technology
  • Infrared Target Detection Methodologies
  • ECG Monitoring and Analysis
  • CCD and CMOS Imaging Sensors
  • Image and Video Quality Assessment
  • Wireless Networks and Protocols
  • Video Surveillance and Tracking Methods
  • Neural and Behavioral Psychology Studies
  • Video Analysis and Summarization

Samsung (South Korea)
2025

Kyungpook National University
2013-2022

Korea Advanced Institute of Science and Technology
2000

Numerous studies have previously evaluated the marginal and internal fit of fixed prostheses; however, few reports performed an objective comparison various methods used for their assessment. The purpose this study was to compare five assessment prostheses. A specially designed sample measure prosthesis according cross-sectional method (CSM), silicone replica technique (SRT), triple scan (TSM), micro-computed tomography (MCT), optical coherence (OCT). showed significant differences in four...

10.3390/jcm8060785 article EN Journal of Clinical Medicine 2019-06-01

Background: Mixed reality (MR) technology, which combines the best features of augmented and virtual reality, has recently emerged as a promising tool in cognitive rehabilitation therapy. Objective: To investigate effectiveness an MR-based training system for individuals with mild impairment (MCI). Methods: Twenty-one aged 65 years older who had been diagnosed MCI were recruited this study divided into two groups. Participants MR group (n=10, 70.5±4.2 years) received 30 minutes 3 times week...

10.1097/wnn.0000000000000197 article EN Cognitive and Behavioral Neurology 2019-09-01

Electrocardiogram signal analysis is based on detecting a fiducial point consisting of the onset, offset, and peak each waveform. The accurate diagnosis arrhythmias depends accuracy detection. Detecting onset offset points ambiguous because feature values are similar to those surrounding sample. To improve this paper's detection, represented by small number vertices through curvature-based vertex selection technique using polygonal approximation. proposed method minimizes candidate samples...

10.3390/s18124502 article EN cc-by Sensors 2018-12-19

Rice tillers are one of the most important traits for yield and development rice, although little is known about its mode inheritance. Tiller numbers were recorded every 7 days a total nine times, starting 30 after transplantation. Quantitative trait locus (QTL) based analysis on set double haploid population derivatives cross between Cheongcheong Nagdong varieties identified major effect RM18130-RM3381 chromosome 5, which was expressed in eight different growth stages. Within target region...

10.3390/plants11040538 article EN cc-by Plants 2022-02-17

The posture of a user is one the contextual information that can be used for mobile applications and treatment idiopathic scoliosis. This paper describes method monitoring during operation device in three activities such as sitting, standing, walking. system (UPMS) proposed this based on two major technologies. first involves tilt-angle measurement algorithm (TAMA) using an accelerometer. Unlike most previous studies, it relative computation dot product from time-series acceleration data....

10.1109/tim.2009.2022102 article EN IEEE Transactions on Instrumentation and Measurement 2010-04-07

A novel analytical solution for the designing of birdcage RF coil has been demonstrated in this paper. new concept dominant resonance path introduced paper which is used to identify specific closed current loop responsible frequency mode. This determine precise numerical values lumped capacitance deployed legs and/or end-rings its proper operation at desired frequency. The presented established by performing two-port network based equivalent circuit modeling coil. proposed uses T-matrix...

10.3390/app10072242 article EN cc-by Applied Sciences 2020-03-26

Brown planthopper (BPH, Nilaparvata lugens Stal.) is the most damaging rice pest affecting stable yields worldwide. Currently, methods for controlling BPH include breeding a BPH-resistant cultivar and using synthetic pesticides. Nevertheless, continuous cultivation of resistant cultivars allows emergence various races, use pesticides can induce environmental pollution as well unpredictable new species. As plants cannot migrate to other locations on their own combat stresses, production...

10.3390/ijms23031540 article EN International Journal of Molecular Sciences 2022-01-28

This paper presents different issues of the real-time compression algorithms without compromising video quality in distributed environment. The theme this research is to manage critical processing stages (speed, information lost, redundancy, distortion) having better encoded ratio, fluctuation quantization scale by using IP configuration. In paper, techniques such as distortion measure with searching method cover block phenomenon motion estimation process while passing technique and floating...

10.1109/health.2005.1500466 article EN 2005-08-30

For more than a decade, both academia and industry have focused attention on the computer vision in particular computational color constancy (CVCC). The CVCC is used as fundamental preprocessing task wide range of applications. While our human visual system (HVS) has innate ability to perceive constant surface colors objects under varying illumination spectra, facing challenge nature. Accordingly, this article proposes novel convolutional neural network (CNN) architecture based residual...

10.3390/app10144806 article EN cc-by Applied Sciences 2020-07-13

In this study, we have proposed an algorithm that solves the problems which occur during recognition of a vehicle license plate through closed-circuit television (CCTV) by using deep learning model trained with general database. The is commonly used suffers disadvantage low rate in tilted and low-resolution images, as it images acquired from front plate. Furthermore, CCTV issues such limitation resolution perspective distortion. Such factors make difficult to apply model. To improve rate,...

10.3390/app11146292 article EN cc-by Applied Sciences 2021-07-07

The user interface in accelerometer-enable mobile devices requires more advanced action recognition technology than that of the traditional input method due to its awkward handling (e.g., limited computational capability, miniaturized input/output controls, and so on). Many types interaction styles are being tested for gesture recognition. We introduce a based on state machines constructs high-level events from lower-level ones. This is novel recognizes user's sequence-action by using...

10.1109/tce.2008.4560153 article EN IEEE Transactions on Consumer Electronics 2008-05-01

As electrocardiogram (ECG) signals are generally sampled with a frequency of over 200 Hz, method to compress diagnostic information without losing data is required store and transmit them efficiently on wireless personal area network (WPAN). In this paper, an ECG signal compression for communications WPAN, which uses feature points based curvature, proposed. The P, Q, R, S, T waves, critical components the signal, have large curvature values compared other vertexes. Thus, these vertexes were...

10.1109/jcn.2012.6184547 article EN Journal of Communications and Networks 2012-02-01

In the human and computer vision, color constancy is ability to perceive true of objects in spite changing illumination conditions. Color remarkably benefitting vision issues such as tracking, object detection scene understanding. Traditional approaches based on gray world assumption fall short performing a universal predictor, but recent methods have greatly progressed with introduction convolutional neural networks (CNNs). Yet, shallow CNN-based face learning capability limitations....

10.1109/access.2020.3030912 article EN cc-by IEEE Access 2020-01-01

An internal and marginal fit between prosthesis abutment is an important factor of the durability dental prosthesis. In this paper, we have proposed use swept-source optical coherence tomography (OCT) as a novel application for non-ionized high-resolution measurements discrepancies at anatomically critical four points, such occlusal, angle, axial, margin during attachment. A tooth model was fabricated by 3D printing technique, designed using CAD software. The cross-sectional images along...

10.1109/access.2018.2889341 article EN cc-by-nc-nd IEEE Access 2018-12-24

Non-invasive investigation of rice leaf specimens to characterize the morphological formation and particular structural information that is beneficial for agricultural perspective was demonstrated using a low coherence interferometric method called swept source optical tomography (SS-OCT). The acquired results non-invasively revealed properties leaf, such as bulliform cells; aerenchyma, parenchyma, collenchyma layer; vascular bundle. Beside aforementioned morphologic characteristics, several...

10.3390/app9102104 article EN cc-by Applied Sciences 2019-05-22

Poor illumination and viewing conditions have negativeinfluences on the quality of an image, especially contrast dark bright region. Thus, captured displayed images usually need enhancement. Histogram-based or gamma correction-based methods are generally utilized for this. However, these global enhancement method, since sensitivity human eye changes locally according to position object in scene, a limit. The spatial adaptive method is needed overcome limitations it has led development...

10.1587/transinf.e95.d.1112 article EN IEICE Transactions on Information and Systems 2012-01-01

심전도 신호는 일반적으로 200Hz 이상의 주파수로 표본화 되므로 효율적인 저장 및 전송을 위해서는 진단에 중요한 정보를 손실 없이 압축하는 방법이 필요하다. 본 논문에서는 곡률을 이용하여 정보인 특징점에 기반한 신호 압축 방법을 제안한다. 제안한 방식은 신호의 중요 구성요소인 P, Q, R, S, T파의 특징점이 다른 정점에 비해 곡률 값이 크므로 곡률의 국부적 극값을 정점을 추출하였다. 또한 복원 오차를 최소화하기 위하여 순환적정점 선택 방법에 따른 특징점으로 추가한다. MIT-BIH 부정맥 데이터베이스에 있는 신호에 대한 실험을 통하여 선택한 정점들이 특징점을 모두 포함하고 있으며, 압축의 효율성도 AZTEC 방식 보다 높다는 것을 확인하였다. As electrocardiogram(ECG) signals are generally sampled with a frequency of over 200Hz, method to compress diagnostic...

10.5391/jkiis.2010.20.5.624 article EN Journal of Korean institute of intelligent systems 2010-10-25

The thin film transistor liquid crystal display (TFT- LCD) image has non-uniform brightness, which is the major difficulty in finding defect region called Mura. To facilitate Mura segmentation, globally widely varying background signal to be flattened and must enlarged. In this paper, magnification flattening method proposed using wavelet coefficients processing properties of human visual system (HVS). approximation are used for while detail employed magnify based on adapted contrast...

10.1109/fbit.2007.49 article EN Frontiers in Convergence of Bioscience and Information Technologies 2007-01-01

One of the significant qualities human vision, which differentiates it from computer is so called attentional control, innate ability our eyes to select what visual stimuli pay attention at any moment in time. In this sense, salience detection model, designed simulate how system (HVS) perceives objects and scenes, widely used for performing multiple vision tasks. This model also high demand tone mapping technology dynamic range images (HDRIs). Another distinct quality HVS that blink adjust...

10.3390/app9214658 article EN cc-by Applied Sciences 2019-11-01

For the imaging signal processing (ISP) pipeline of digital image devices, it is high significance to remove undesirable illuminant effects and obtain color invariance, commonly known as 'computational constancy'. Achieving computational constancy requires going through two phases: illumination estimation, which will be primary focus this work, human visual perception-based chromatic adaptation. At first phase, estimation predict RGB triplets, numeric representations incident colors, by...

10.1109/access.2021.3115942 article EN cc-by IEEE Access 2021-01-01
Coming Soon ...