Jaehyuk Cha

A Metadata Schema Design for Global e-Apostille Processing and a Consortium Blockchain-based Certificate and Verifica-tion Framework for e-Register Service

Eunjin Yoo, Geunseong Jung, Jaehyuk Cha

Whenever public underlying documents are required for international legal contracts, such as admissions, petitions, and employment, the document often has complicated authentication process. The most exhaustive part is the proof of origin as most countries’ civil laws do not allow foreign documents …

kr (code pays fourni par la source)

FOSSIL: Regret-minimizing weighting for robust learning under imbalance and small data

Jaehyuk Cha, Jay K. Lee, Jaehee Cho, Jong Won Shin

Imbalanced and small data regimes are pervasive in domains such as rare disease imaging, genomics, and disaster response, where labeled samples are scarce and naive augmentation often introduces artifacts. Existing solutions such as oversampling, focal loss, or meta-weighting address isolated aspects of …

us, gb (code pays fourni par la source)

An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images

Mamuna Fatima, Muhammad Attique Khan, Anwar Majeed Mirza, Jungpil Shin et autres

Convolutional Neural Networks (CNNs), a sophisticated deep learning technique, have proven highly effective in identifying and classifying abnormalities related to various diseases. The manual classification of these is a hectic and time-consuming process; therefore, it is essential to develop a computerized technique. …

pk, sa, jp, kr (code pays fourni par la source)

SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders

Samra Siddiqui, Junaid Ali Khan, Tallha Akram, Meshal Alharbi et autres

With the intent of assisting gastroenterologists from all over the world, the proposed work aims to eliminate the effort required to achieve accurate diagnoses. Statistically, gastrointestinal diseases often result in fatal disorders, contributing to a significant number of fatalities. The upper gastrointestinal …

pk, sa, kr (code pays fourni par la source)

Analysis of Activity and Mobility Characteristics of Disabled People Using Wheelchairs: Using GPS Trajectory Data and Travel Surveys

Hye-Won Kim, Junhyeon Kweon, Sugie Lee, K. Kim et autres

휠체어 이용 장애인은 전체 인구 대비 매해 꾸준히 증가하고 있지만, 생활패턴 및 트립체인 분석은 주로 비장애인에 주로 집중되어 있어 이들의 활동 및 이동특성에 대한 실증적 연구가 미비한 상황이다. 따라서 본 연구에서는 휠체어 이용 장애인의 휴대폰 GPS 데이터와 이동권 설문조사를 활용하여 사회인구학적 특성과 …

Context-dependent memory in the real world: the role of frequency and context dwell time

Yura Choi, Kawon Kim, Sunwoo Moon, Geunseong Jung et autres

We investigated the context-dependent memory effect outside of the laboratory in order to examine whether the effect impacts everyday memory retrieval. We also examined various factors that may interact with the context-dependent memory effect such as frequency and context dwell time. In …

kr, us (code pays fourni par la source)

Offline Data Placement using Window-based Hot/Cold Identification to Enhance Solid-state Drive Endurance

Seung Jae Baik, Jaehyuk Cha

The Impact of Professors' Emotional Leadership on Resilience, Burnout, and Continuance Intention in Dance Major Students

Jaehyuk Cha, Jungmin Lee

연구목적 본 연구는 교수의 감성리더십이 무용전공 학생의 회복탄력성에 미치는 영향과 회복탄력성이 소진과 무용지속의도에 미치는 영향을 검증하는 데 목적이 있다. 연구방법 연구 대상은 4년제 대학에 재학 중인 무용전공 대학생을 대상으로 하였으며, 최종 분석에 225부의 자료를 활용하였다. 자료분석은 SPSS/AMOS 23.0 프로그램을 이용하여 빈도분석, 신뢰도 …

Context-dependent memory in the real world: The role of frequency and context dwell time

Yura Choi, Kawon Kim, Sunwoo Moon, Geunseong Jung et autres

We investigated the context-dependent memory effect outside of the laboratory in order to examine whether the effect impacts everyday memory retrieval. We also examined various factors that may interact with the context-dependent memory effect such as frequency and context dwell time. In …

kr, us (code pays fourni par la source)

Development and User Study on Visualization Tools of Origin-Destination Data for Social Problems

C S Kim, Sungjin Hwang, HanSung Kim, Sugie Lee et autres

Mobility data is important to understand social phenomena and problem. Previous studies have utilized Origin-Destination (OD) visualization methods to represent human’s mobility. However, the effectiveness of visualization tools as a method for understanding social phenomena remains unexplored. Therefore, in this study, we …

kr (code pays fourni par la source)

A framework of transportation mode detection for people with mobility disability

Jiwoong Heo, Sungjin Hwang, Jucheol Moon, Jaehwan You et autres

Transportation mode detection (TMD) is an important computational technique that aids human life at the social and individual levels. However, previous studies on TMD were focused on people without mobility disabilities, and research involving people with mobility disability is limited. Therefore, this …

kr, us (code pays fourni par la source)

Transportation Mode Detection Technology to Predict Wheelchair Users' Life Satisfaction in Seoul, South Korea

Sungjin Hwang, Jiwoong Heo, Youngwug Cho, Jucheol Moon et autres

Transportation mode detection (TMD) has been proposed as a computational technology to obtain mobility information. However, previous TMD studies mainly focused on improving detection performance and have not investigated the social implications of mobility information. This is the first study to use …

kr, us (code pays fourni par la source)