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김우현(Woo Hyun Kim),박정우(Jeong Woo Park),이원형(Won Hyong Lee),김원화(Won Hwa Kim),정명진(Myung Jin Chung) 대한전기학회 2009 대한전기학회 학술대회 논문집 Vol.2009 No.7
본 논문에서는 로봇의 감정과 의사표현을 위해서 3D모델 기반의 시뮬레이션이 가능한 에디팅 툴킷을 이용하였고, 사람과 로봇의 감정 상호 작용과 로봇이 제공하는 서비스의 구현을 위해서 다양한 멀티모달 표현을 생성하였다. 로봇은 얼굴표정, 그리고 목과 팔의 움직임으로 멀티모달 표현을 하였으며, 멀티모달 감정/의사 표현을 구성하는 각 모달리티별 표현들은 에디팅 툴킷을 통하여 동기화되었다. 이렇게 생성된 로봇의 멀티모달 감정/의사 표현은 DB형태로 저장되고, 이를 재조합하고 수정하여 새로운 표현을 생성할 수 있도록 하였다.
간호사의 그릿이 직무열의에 미치는 영향: 긍정심리자본과 소진의 매개효과
박미경(Park, Mi Kyung),김원화(Kim, Won Hwa) 한국간호교육학회 2023 한국간호교육학회지 Vol.29 No.2
Purpose: This study was conducted to identify the effects of grit on the work engagement of nurses and to identify the mediating effects of positive psychological capital and burnout in the relationship between grit and work engagement. Methods: The study subjects were 182 nurses who had been working in a general hospital for more than six months. The data were collected from July 12 to July 26, 2021. The collected 182 sets of data were analyzed by descriptive statistics, correlation analysis, and a hierarchical regression analysis using IBM SPSS statistics version 23.0 and also by bootstrapping using SPSS Process Macro. Results: As a result of the analyses, it was found that higher work engagement was associated with higher grit, higher positive psychological capital, and lower burnout. The mediating effects of positive psychological capital and burnout in the relationship between grit and work engagement were found to be both direct and indirect. Conclusion: This study provides basic data suggesting that an education program designed to reduce burnout and reinforce grit and positive psychological capital is necessary to promote the work engagement of nurses in clinical settings.
AI-Driven BGA Solder Joint Failure Detection of PCB Assembly
Seunghun Baek(백승훈),Jaeyoon Sim(심재윤),Siyeon Park(박시연),Cheolung Yang(양철웅),Songyi Jeon(전송이),Jongho Song(송종호),Won Hwa Kim(김원화) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.11
This paper introduces an AI-driven approach to bolster the reliability of automatic solder joint failure detection for PCB Assembly development. Our method employs a 2-stage framework integrating localization and classification. To address domain specific challenges, we propose a post-training correction method based on a fixed solder joint arrangement. Our work is validated on unseen data acquired in a field.