• 동아시아식생활학회지
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• 제17권4호
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• pp.463-473
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• 2007

This study was carried out to investigate perceptions of body image, body satisfaction, and dietary habits of beauty art major and non-major college students in Gyeonggi province. A total of 312 self-administered questionnaires (beauty art majors=145; non-majors=167) were analyzed. The means for height, weight, and BMI were 161.7 cm, 51.4 kg and 19.7, respectively. There were more majors who were underweight according to BMI classification than non-majors. Sixty-six percent of the subjects had previous weight control experience, and there was no significant difference between the majors and non-majors. The mean score for current body image was 4.61 out of a possible 9 points in the majors, which was significantly lower than 4.95 in the non-majors, and their perception of an ideal body image was thinner than their current body image. Those with more weight control experience had currently heavier perceptions of their body. The mean score for body satisfaction was 2.60 out of a possible 5 points, which was lower than the mean score for their attitudes toward the importance of their bodies. The mean score for dietary habits was 2.80 out of a possible 5 points, and there was no significant difference with dietary habits according to weight control experience or BMI classification. In both the majors and non-majors, there was a significant positive correlation between BMI and perception of current body image (p<0.001, p<0.001), and a negative correlation between BMI and body satisfaction (p<0.01, p<0.001). In the major students, there were significant positive correlations between dietary habits and body satisfaction (p<0.01), and attitudes toward the body importance (p<0.05); therefore, the greater their body satisfaction and body importance, the higher their scores for dietary habits.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.626-629
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• 2004

Texture imaging, which means texture image creation by co-occurrence relation, has been known as one of useful image analysis methodologies. For this purpose, most commercial remote sensing software provides texture analysis function named GLCM (Grey Level Co-occurrence Matrix). In this study, texture-imaging program for GLCM algorithm is newly implemented in the MS Visual IDE environment. While, additional texture imaging modules based on GLDV (Grey Level Difference Vector) are contained in this program. As for GLCM/GLDV texture variables, it composed of six types of second order texture function in the several quantization levels of 2(binary image), 8, and 16: Homogeneity, Dissimilarity, Energy, Entropy, Angular Second Moment, and Contrast. As for co-occurrence directionality, four directions are provided as $E-W(0^{\circ}),\;N-E(45^{\circ}),\;S-W(135^{\circ}),\;and\;N-S(90^{\circ}),$ and W-E direction is also considered in the negative direction of E- W direction. While, two direction modes are provided in this program: Omni-mode and Circular mode. Omni-mode is to compute all direction to avoid directionality problem, and circular direction is to compute texture variables by circular direction surrounding target pixel. At the second phase of this study, some examples with artificial image and actual satellite imagery are carried out to demonstrate effectiveness of texture imaging or to help texture image interpretation. As the reference, most previous studies related to texture image analysis have been used for the classification purpose, but this study aims at the creation and general uses of texture image for urban remote sensing.

• 대한치과기공학회지
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• 제33권4호
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• pp.505-516
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• 2011

Purpose: The purpose of this study is to supply basic data to establish new image for dental technicians by reflecting onto the education of dental technicians by grasping the image of dental technicians with the subjects of students in department of dental technology. Methods: It was studied with self-filling-in method through structured questionnaire from September 26, to October 21, 2011, with 421 subjects of the students in the department of dental technology in two colleges in Daegu. SPSS 18.0 for Windows was used to analyze the data, and frequency and percentage were used for statistic analysis, and correlation analysis and Multiple Linear Regression Analysis were used with mean and SD per each question. Results: It showed the highest recognition that the dental technicians is a 'specialist' as 4.66; the dental technicians has strong responsibility in his work as 4.42; the dental technicians takes an important role in improvement of public oral health as 4.39; and the dental technicians has professional intelligence and high technique as 4.33. So, it was found that they had image of professional and important role for oral health, and had their pride and selfconfidence as future dental technicians. Meanwhile, it showed that they had negative related-image as well as a job, that the dental technicians is too busy as 4.48; it requires improvement on image in the future as 4.27; it is a hard job with too much stress as 4.13. Conclusion: It is required for us and school to have continuous change and effort to make the students in the department of dental technology have positive mind for the dental technology to make them have pride for their job.

• 보건의료산업학회지
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• 제7권1호
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• pp.107-118
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• 2013

The purpose of this study is to grasp the image of radiologists perceived by college students of radiology. The survey subjects of this study were selected college students with major in radiology with 3-year system who are attending universities where are located in Daegu and Gyeongbuk area. As for distribution and collection of questionnaire, the objective of research was explained from April 2, 2012 to April 30. 220 people's questionnaires were finally analyzed with a self-administrative method after being widely distributed. Statistical analysis was carried out frequency analysis, t-test, ANOVA, and correlation analysis. To examine factors of having influence upon the image of radiologists, the multiple regression analysis was carried out. As for survey subjects' general characteristics, gender was indicated to be 58.2% for men and 41.8% for women. School year accounted for 38.2% for freshman, 29.1% for sophomore, and 32.7% for junior. Age was the largest in under 21 years old with 43.6%. The next was in order of over 23 years old with 32.7% and 22 years old with 20%. As a result of research, the image of radiologists was being perceived positively. The radiologist was being recognized as a specialist who is sincere oneself and has strong responsibilities, does valuable and worthwhile work, and has the matured professional knowledge. However, the individual image of radiologists was a little negative. Accordingly, to promote the individual image of radiologists, a specific and positive strategy is needed for approaching people as the specialized job with autonomy and responsibility as well as radiologist oneself.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제8권10호
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• pp.403-410
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• 2019

눈이 내리는 영상에서 눈송이들에 의하여 영상의 질이 저하되고 영상 내에 존재하는 객체들을 명확히 탐지하기 위해서는 눈송이를 제거해야할 필요성이 있다. 이 연구에서는 지각 Generative Adversarial Network에 기반하여 단일 영상으로부터 눈송이를 제거하는 방법을 제시한다. 잔류 U-Net을 눈송이가 제거된 영상을 생성하는 생성기로 설계하였다. 다양한 크기의 눈송이를 처리하기 위하여 다양한 필터 커널의 인셉션 모듈을 설계하고 입력한 눈이 내리는 영상의 다양한 해상도 특징을 추출하기 위하여 적용되었다. 눈송이 제거 영상의 품질을 높이기 위해서 대립손실을 제외하고는, 지각적 손실과 총 변동 손실 함수를 적용하여 제설 이미지와의 유사도를 찾아갈 수 있도록 하였다. 합성 강설 이미지와 실제 강설 이미지를 대상으로 제안 네크워크의 제설 기능을 실험하였다. 실험 결과 제안 알고리즘은 합성 이미지와 강설 이미지 모든 분야에서 육안으로 관찰해본 결과 화질이 우수함을 보여주었고, 객관적 평가를 위하여 신호강도를 나타내는 PSNR과 구조변화를 측정하는 SSIM 인덱스를 비교하였으며, 제안 알고리즘이 지수 상으로도 가장 우수한 성능을 보여주었다.

• 융합정보논문지
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• 제8권4호
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• pp.27-35
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• 2018

본 연구는 일부 치과 의료소비자들의 대기시간에 대한 반응과 병원이미지 및 환자만족도와의 관계를 파악하여 의료서비스의 질적 대기환경관리를 위한 기초자료를 제공하고자 시도되었다. 연구대상은 치과 병 의원에 내원한 대기시간을 경험한 성인으로 하였고, 2016년 5월 16일부터 6월 18일까지 구조화된 무기명 자기기입식 설문조사를 실시하였다. 병원이미지는 장시간 대기 시 치과 의료기관 신뢰도 변화, 재이용의사 변화, 예약시스템, 환자만족도는 성별, 예상 대기시간설명, 장시간 대기 시 치과 의료기관 신뢰도 변화, 재이용의사 변화, 예약시스템과 관련이 있었다. 대기시간에 대한 긍정적 반응과 병원이미지, 환자만족도는 양의 상관관계로 나타났고, 부정적 반응은 병원이미지, 환자만족도와 음의 상관관계를 나타났으며, 병원 이미지와 환자만족도는 양의 상관관계를 나타냈다. 병원이미지 제고와 환자만족도 향상을 위한 실제적인 접근방안이 요구되며, 대기의 불안과 부정적 반응을 해소 할 수 있는 IT기술 및 여러 컨텐츠를 접목한 대기환경의 변화가 필요하다고 사료된다.

• 한국농공학회논문집
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• 제63권6호
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• pp.39-47
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• 2021

Reduction effect of the spread of odorant and fine dust through windbreak trees can be predicted through numerical analysis. However, there is a disadvantage that a large space and destructive experiments must be carried out each time to calculate the aerodynamic coefficient of the tree. In order to overcome these shortcomings, In this study, we aimed to estimate the aerodynamic coefficient (C₀, C₁, C₂) by using image processing. Thuja occidentalis, which can be used as windbreak were used as the material. The leaf area index was estimated from the leaf area ratio using image processing with leaf weight, and the optical porosity was calculated through image processing of photos taken from the side while removing the leaves step-by-step. Correlation analysis was conducted with the aerodynamic coefficient of Thuja occidentalis calculated from the wind tunnel test and leaf area index and optical porosity calculated from the image analysis. The aerodynamic coefficient showed positive and negative correlations with the leaf area index and optical porosity, respectively. The results showed that the possibility of estimating the aerodynamic coefficient using image processing.

• 한국엔터테인먼트산업학회논문지
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• 제14권4호
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• pp.421-430
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• 2020

본 연구는 간호대학생의 생활스트레스, 신체상, 행복, 건강증진행위 간의 관계 및 건강증진행위의 영향요인을 파악하기 위해 시도되었다. 자료수집은 간호대학생 277명을 대상으로 2018년 4월 16일부터 5월 4일까지 이루어졌다. 자료분석방법은 기술통계, t-test, one-way ANOVA, Pearson 상관관계분석, 단계적 다중회귀분석을 사용하였다. 간호대학생의 일반적 특성에 따른 생활스트레스, 신체상, 행복 및 건강증진행위에서 공통적으로 전공만족도와 학교만족도에서 유의한 차이를 나타냈다. 건강증진행위는 신체상과 행복과는 정적 상관관계를 나타냈고, 생활스트레스와는 부적 상관관계를 나타냈다. 간호대학생의 건강증진행위에 대한 영향요인으로 행복, 신체상, 생활스트레스, 성별, 전공만족도로 총 변화량의 46%를 설명하였다. 본 연구결과를 바탕으로 간호대학생의 건강증진행위를 향상시키기 위해 생활스트레스는 낮추고 신체상과 행복을 높이기 위한 다양한 프로그램 개발이 필요하다.

• Human Ecology Research
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• 제62권3호
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• pp.441-453
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• 2024

This study aimed to explore the characteristics of early adolescent girls with an over-distorted body image and to examine the influence of peer descriptive norm and peer injunctive norm related to body shape and peer pressure for thinness on social media on body image over-distortion. The participants were 505 female adolescents in the 1st and 2nd grades of middle school. Descriptive statistics, frequency analysis, and binary logistic regression were used to analyze the data with SPSS 26.0. The results were as follows. First, the body image over-distortion group contained more 2nd-grader early adolescent girls than 1st graders and approximately three-quarters of the body image over-distortion group had previously attempted to lose weight. Second, peer pressure for thinness on social media significantly predicted whether early adolescent girls were in the body image over-distortion group compared to the non-distortion group. These outcomes suggest that it is necessary to create a social media culture that encourages early adolescent girls to have a realistic and healthy body shape. The results also highlight the importance of developing social media literacy education programs that inform early adolescents of the potential harm of negative comments on social media, and teach them how to recognize and dismiss indiscriminate and harmful comments and contents on social media.

• 한국컴퓨터정보학회논문지
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• 제27권12호
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• pp.59-68
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• 2022

본 논문은 주어진 현품 영상과 도면 영상의 유사도를 비교하여 1:1 검증을 위한 방법을 제시한 것으로, CNN(Convolutional Neural Network) 기반의 딥러닝 모델을 두 개로 결합하여 Siamese Net을 구성하고 현품 영상과 도면 영상(정면도, 좌우 측면도, 평면도 등)을 같은 제품이면 1로 다른 제품이면 0으로 학습하며, 추론은 현품 영상과 도면 영상을 쌍으로 질의하여 해당 쌍이 같은 제품인지 아닌지를 판별하는 딥러닝 모델을 제안한다. 현품 영상과 도면 영상과의 유사도가 문턱 값(Threshold: 0.5) 이상이면 동일한 제품이고, 문턱 값 미만이면 다른 제품이라고 판별한다. 본 연구에서는 질의 쌍으로 동일제품의 현품 영상과 도면 영상이 주어졌을 때(긍정 : 긍정) "동일제품"으로 판별할 정확도는 약 71.8%로 나타났고, 질의 쌍으로 다른 현품 영상과 도면 영상이 주어졌을 때(긍정: 부정) "다른제품"으로 판별할 정확도는 약 83.1%를 나타내었다. 향후 제안한 모델에 파라미터 최적화 연구를 접목하고 데이터 정제 등의 과정을 추가하여 현품 영상과 도면 영상의 매칭 정확도를 높이는 연구를 진행할 예정이다.