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김수현(Suhyeon Kim),강수민(Sumin Kang),유재인(Jaein Yoo),이가현(Gahyeon Lee),이효정(Hyojeong Yi),이현주(Hiunju Lee) 다문화건강학회 2020 다문화건강학회지 Vol.10 No.2
The purpose of this study was to investigate the levels of perception and attitude of nursing students with clinical practice experience in terms of patients’personal information protection. Method: Among nursing students attending one university in Gyeonggi-do, 102 students in third and fourth grades who had clinical nursing practice experience were recruited. Data were collected between August 1, 2019 to August 29, 2019. Statistical analysis of the data was performed using SPSS version 24. T-test, ANOVA, and Pearson s correlations as well as Scheffe test were performed. Results: The study found that 92.2 percent of the subjects had educational experience in patient privacy. It was found that nursing students who had experience in patient personal information protection education at universities and medical institutions were highly aware of the protection of patient personal information. Conclusion: Education experience of nursing students in college or clinical practice setting in terms of patients’personal information protection lead to high levels of awareness and practical attitude of patient privacy among nursing students. The higher the awareness of patient privacy among nursing students, the higher the actual degree of practical attitude in terms of personal information protection of their patients.
Word2vec based Latent Semantic Analysis (W2V-LSA): 새로운 토픽 모델링을 통한 블록체인 기술 연구 트렌드 분석
김수현(Suhyeon Kim),박해청(Haecheong Park),이정혜(Junghye Lee) 대한산업공학회 2018 대한산업공학회 추계학술대회논문집 Vol.2018 No.11
It is an urgent task to analyze trends in Blockchain technology to help establish action plans based on Blockchain, which is one of the core technologies in Industry 4.0. This study provides the trend analysis on Blockchain based on topic modeling of text mining for 231 abstracts of Blockchain-related papers published over the past five years. We developed a new topic modeling method called Word2vec-based Latent Semantic Analysis (W2V-LSA), which is based on Word2vec and Spherical k-means clustering to capture the context of corpus in a better representation. We used W2V-LSA to perform the annual trend analysis of Blockchain research by country and compared the results with Probabilistic LSA. We demonstrated the usefulness of W2V-LSA in terms of accuracy and diversity of the topics captured for the documents. It is believed that W2V-LSA will be a useful alternative for better topic modeling and the trend analysis of W2V-LSA will provide insight and show the direction for the future research on Blockchain technology.
고정익 무인항공기 자동 착륙 알고리즘 설계 및 비행시험
김수현(Suhyeon Kim),강동민(Dongmin Kang),정동원(Dongwon Jung) 항공우주시스템공학회 2019 항공우주시스템공학회 학술대회 발표집 Vol.2019 No.11
본 논문에서는 최소한의 운용자로 다수 무인기를 동시에 운용하기 위해 필수적으로 요구되는 기능으로 고정익 무인기 자동 착륙 알고리즘을 제안한다. 제안된 알고리즘은 자동 착륙 과정을 접근단계와 착륙단계의 두 단계로 이루어져 있다. 첫째, 접근단계에서는 지상 운용자의 착륙 명령에 따라 현재 무인기 위치, 고도, 방위각 정보와 접근점 위치 및 활주로 방위 정보를 사용하여 Dubins Path 형태의 접근 경로를 생성하고, 다음의 착륙단계에서의 종방향 유도를 위하여 접근점 위치와 착륙지점의 수평거리 및 고도 차이를 고려한 고도 프로파일을 계산하도록 한다. 또한 유도된 경로를 안정적으로 추종하기 위해 무인기의 종/횡방향 유도제어법칙을 도출하고, 실시간 Hardware-in-the-loop 시뮬레이션 환경을 통해 자동 착륙 알고리즘을 성능을 확인하였다. 최종적으로 제안된 알고리즘은 고정익 무인기 시스템에 적용되어 실제 비행시험을 통해 다양한 비행조건에서 알고리즘의 타당성 및 강건성을 검증하였다.
김수현(Suhyeon Kim),백승우(SeungWoo Baek),신용광(YongKwang Shin) 한국농업정책학회, 한국축산경영학회 2016 농업경영정책연구 Vol.43 No.4
The purpose of this study was to investigate the influence of ambient environmental factors, design environmental factors, social environmental factors as a store environment on customer satisfaction and customer loyalty in agricultural wholesale markets. In this survey, 235 questionnaires were used for the statical analysis.. The results of the study show as follows; First, It was found that cleanliness as a ambient environmental factors are to have a positive relationship with customer satisfaction and customer loyalty. Second, design environmental factors are to have a positive relationship with customer satisfaction and customer loyalty. Third, social environmental factors have effect on customer satisfaction and customer loyalty. The results of this study imply that marketers in agricultural wholesale markets have to strengthen customer satisfaction and customer loyalty to their customer by improve markets circumstance that have ambient and design environmental factors and to improve social environment factors.