• Journal of Industrial Convergence
• /
• v.20 no.12
• /
• pp.107-115
• /
• 2022

The study attempted to identify the factors affecting the image of nurses in health and non-health university students after COVID-19. The study was collected from November 15, 2021 to 2011 and 28th, 2021, from 133 health-related and 123 non-health-related students in four universities. This data was analyzed by descriptive statistics, correlation, and multiple regression analysis using the SPSS 22.0 program. As a result of the study, whether the nurse image according to general characteristics is in the first grade of health-related college students(t=2.82, p=.006) showed a statistically significant difference. The nurse image of college students showed a positive correlation with the mass media image and major satisfaction in both health and non-health fields. For health-related college students, the image of mass media, major satisfaction, and first grade influence the image of nurses (F=40.42, p<.001)In the case of university students in non-health departments, it was found that only the media image affects the nurse image. (F=20.13, p<.001). In order to improve the image of nurses, it is necessary to have continuous interest in contact with the media through new media and to approach it systematically.

• Journal of Digital Convergence
• /
• v.16 no.2
• /
• pp.215-224
• /
• 2018

The Purpose of this study was to examine the relations between nurse image, self-esteem, major satisfaction and career identify of nursing students perceive. The participants of 410 subjects, data was analyzed using t-test, ANOVA, multiple linear regression with the SPSS/WIN 20.0 program. The results: The mean score of nurse image(3.82), self-esteem(2.64), major satisfaction(3.76), career identity(2.64) were abve the average. Nurse image, self-esteem, major satisfaction and career identity showed a positive correlation. The results of multiple linear regression analysis showed that the variables of self - esteem, major satisfaction, and career identity had an explanatory power(Adj R2=33.2% )on image of nurses. Study results suggested that, we propose a program for establishing a positive nurse image to improve the self - esteem, major satisfaction and career identity of nursing students.

• Journal of the Korea Convergence Society
• /
• v.9 no.12
• /
• pp.151-157
• /
• 2018

The purpose of this study was to analyze the relationship among self-image congruity, affect, brand attitude and purchase intention toward sports brands. In order to achieve the purpose of this study, totalling 329 students were recruited from several different university. Data were collected by using convenience sampling method. Research model and hypothesis testing were conducted by using SEM(structural equation modeling) through AMOS 18.0. The result were as follows; First, sports brand ideal self-image positively influenced on brand affect. Second, brand affect had significantly effect brand attitude and purchase intention. Third, brand attitude positively influenced purchase intention toward sports brands. The finding s also revealed effect of ideal self-image congruity in there relationships between self-image and brand affect.

• Journal of Platform Technology
• /
• v.8 no.1
• /
• pp.16-23
• /
• 2020

For protecting copyright for trademark, convolutional neural network can be used to confirm genuine of trademark image. For this, repeated training one trademark image degrades the performance of machine learning because of overfitting problem. Therefore, this type of machine learning application generates training data in various way. But if genuine trademark image is rotated, this image is classified as not genuine trademark. In this paper, we propose the way for extending training data to confirm genuine of trademark image which is rotated. Our proposed way generates rotated image from genuine trademark image as training data. To show effectiveness of our proposed way, we use CNN machine learning model, and evaluate the accuracy with test image. From evaluation result, our way can be used to generate training data for machine learning application which confirms genuine of rotated trademark image.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.370-370
• /
• 2021

태풍으로 인한 피해를 줄이기 위해 경로, 강도 및 폭풍해일의 사전 예측은 매우 중요하다. 이중, 태풍의 경로와는 달리 강도 및 폭풍해일의 예측에 있어서 바람장은 수치 모델의 초기 입력값으로 요구되기 때문에 정확한 바람장 정보는 필수적이다. 대기 바람장 예측 방법은 크게 해석적 모델링, 라디오존데 측정과 위성 사진을 통한 산출로 구분할 수 있다. Holland의 해석적 모델링은 비교적 적은 입력값이 필요하지만 정확도가 낮고, 라디오존데 측정은 정확도가 높지만 점 측정에 가깝기 때문에 이차원 바람장을 산출하기에 한계가 있다. 위성 사진을 통한 바람장 산출은 위성기술의 고도화로 관측 채널 수 및 시공간 해상도가 크게 증가하고 있기 때문에 다양한 기법들이 개발되고 있다. 본 연구에서는 생성적 적대 신경망 (Generative Adversarial Network, GAN)을 통해 일련의 연속된 과거 적외 채널 위성 사진 흐름의 패턴을 학습시켜 미래 위성 사진을 예측하고, 예측된 연속적인 위성 사진들의 교차상관 (cross-correlation)을 통해 바람장을 산출하였다. GAN을 적용함에 있어 2011년부터 2019년까지 한반도 근방에 접근했던 태풍 중에 4등급 이상인 68개의 태풍의 한 시간 간격으로 촬영된 총 15,683개의 위성 사진을 학습시켜 생성된 이미지들은 실측 위성 사진들과 매우 유사한 것으로 나타났다. 또한, 생성된 이미지들의 교차상관으로 얻어진 바람장 벡터들의 풍향, 풍속, 벡터 일관성 및 수치 모델과의 비교를 통해 각각의 벡터들의 품질 계수를 구하고 정확도가 높은 벡터들만 결과에 포함하였다. 마지막으로 국내 6개의 라디오존데 관측점에서의 실측 벡터와의 비교를 통해 본 연구 결과의 실효성을 검증하였다. 본 연구에서 확장하여, 이와 같이 AI 기법과 이미지 교차상관 기법을 사용하여 얻어진 바람장으로부터 태풍 강도예측에 필요한 요소인 태풍의 눈의 위치, 최고 속도와 태풍 반경을 직접적으로 산출할 수 있고. 이러한 위성 사진을 기반으로 한 바람장은 단순화된 해석적 바람장을 대체하여 폭풍 해일 모델링의 예측 성능 개선에 기여할 것으로 보여진다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2019.07a
• /
• pp.119-120
• /
• 2019

본 논문에서는 안드로이드 플랫폼 기반의 사용자 버킷리스트를 등록하고 다른 사용자들과 공유할 수 있는 어플리케이션을 설계하고 구현한다. 이 어플리케이션은 사용자 정보와 사용자 버킷리스트를 SQLite 데이터 베이스에 저장하고, 버킷리스트 등록 시 업로드 하는 이미지 파일은 FireBase에 별도로 저장한다. 그리고 지오코더를 이용하여 버킷리스트 장소 이름 혹은 주소에 해당하는 위도와 경도를 데이터베이스에 저장하고 다음 지도에 마커로 표시한다. 또한 카카오톡으로 지인들과 공유하며 버킷리스트를 실천할 장소를 다른 사용자들과 공유하도록 서비스 한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.07a
• /
• pp.15-16
• /
• 2022

본 논문에서는 국내 합법 사행산업의 가장 큰 비중을 차지하는 경마에 대한 데이터 분석 모델을 제공하여 건전한 국민 여가 스포츠로 인식 개선을 제안한다. 고배당을 강조하는 경마 예측론이 성행하며 경마가 스포츠가 아닌 도박에 가깝다는 부정적 이미지를 개선하고자 부모마의 수득 상금을 이용한 순위 분석 모델을 제공한다. 현재 국내 경마 경기는 서울, 부산, 제주에서 개최되며, 이 중 서울 지역 경마 데이터를 분석 데이터로 하였다. 분석에 이용한 데이터는 2019년 3월부터 2022년 3월까지의 경주 성적, 경주마 정보, 부모마 수득상금을 이용하였다. 분석에는 선형 회귀 모형, 랜덤 포레스트 회귀 모형 (Breiman, 2001)을 이용하였다. 분석은 Python 을 이용하였으며, Python에서 제공하는 다양한 라이브러리를 이용하여 크롤링, 전처리, 분석하였다.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.25 no.1
• /
• pp.39-60
• /
• 2014

In domestic university libraries, the difference between the knowledge resource collection activities on campus is depending on the size of the university, and their collection is concentrated on some types of digital resources. In recent years, the main universities in developed countries has developed actively in social openness and share activities of their knowledge resources, through the OA-based institutional repository, for the purpose of image improvement and competitiveness as a knowledge production base. This study examined ways to improve the relevant regulations in order to effectively collect and systematically manage the knowledge resources from graduate school, research institutes, center for teaching and learning, e-learning center, museum, press, a variety of campus organizations, so as to enhance the role of the library as the right manager of knowledge resources on campus. To this end, this study, considering the improvement of relevant regulations, investigates the operating situation of the library regulations of 176 universities and suggests necessary improvement methods in order to facilitate the digital legal deposit and expand its scope.

• Journal of Auto-vehicle Safety Association
• /
• v.11 no.2
• /
• pp.35-43
• /
• 2019

This paper describes the improved environment recognition algorithms using some type of sensors like LiDAR and cameras. Additionally, integrated control algorithm for an autonomous vehicle is included. The integrated algorithm was based on C++ environment and supported the stability of the whole driving control algorithms. As to the improved vision algorithms, lane tracing and traffic sign recognition were mainly operated with three cameras. There are two algorithms developed for lane tracing, Improved Lane Tracing (ILT) and Histogram Extension (HIX). Two independent algorithms were combined into one algorithm - Enhanced Lane Tracing with Histogram Extension (ELIX). As for the enhanced traffic sign recognition algorithm, integrated Mutual Validation Procedure (MVP) by using three algorithms - Cascade, Reinforced DSIFT SVM and YOLO was developed. Comparing to the results for those, it is convincing that the precision of traffic sign recognition is substantially increased. With the LiDAR sensor, static and dynamic obstacle detection and obstacle avoidance algorithms were focused. Therefore, improved environment recognition algorithms, which are higher accuracy and faster processing speed than ones of the previous algorithms, were proposed. Moreover, by optimizing with integrated control algorithm, the memory issue of irregular system shutdown was prevented. Therefore, the maneuvering stability of the autonomous vehicle in severe environment were enhanced.

• Journal of Korea Entertainment Industry Association
• /
• v.10 no.4
• /
• pp.77-92
• /
• 2016

In this study, the relationship of images and sounds of the animations "Dots" and "Loops" which Norman McLaren animated with his Animated sound technique when he worked at Guggenheim museum at New York, are analyzed through the audiovisual analysis theory by Michel Chion, and through the theory of synchronism/asynchronism and parallelism/counterpoint by Siegfried Kracauer. For the results of the analysis, there are a few difference between "Dots" and "Loops" regarding the aspect of sound arrangement and expressive aspect of abstract animation. However, there are being of two main elements of sound, composing with monophony sound, making musical structure with sound effects, and the emphasizing of parallelism with synchronization bewteen images and sounds in common with both "Dots" and "Loops". In "Dots" and "Loops", there are close correlations between pitch of sound and arrangement/shape of image, between loudness of sound and size of image, and between length of sound and length/shape of image. The image and sound of "Dots" and "Loops" have equal relationship each other, rather than subordinate relationship according as image become sound and the sound become new image with the animated sound technique. "Dots" and "Loops" show tendency of minimal art and music video. Since these two films, and remind about the new approach to sound creation in today's animation production.