• 복식
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• 제38권
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• pp.323-336
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• 1998

The purpose of this study was to classify the contents of self-image of college men and to investigate how clothing behavior was influenced by self-image, age, major, and the expenses of clothing. Samples were 342 male students of univer-sity in Seoul. Results of this study were following : 1. Four factors of self-image derived by factor analysis : F. 1‘mature-unmatured’;F. 2‘characteristic-ordinary’; F. 3‘conservative-open’; F. 4‘dominant-submissive’.2. 5 variables of clothing behavior were influenced by real self-image. Fashion was influenced by characteristic, open, dominant image, and the expenses of clothing. The ex-planatory power of the 4 variables was 29.3%. Aesthetics was influenced by characteristic, submissive, conservative image, the expenses of clothing, and age(R2=28.7%). Modesty was influenced by conservative and ordinary im-age(R2=6.5%). Coformity was influenced by ordinary image and the expenses of clothing (R2=5.7%). Comfort was influenced by dominant image and age(R2=5.3%). 3. 5 variables of clothing behavior were influenced by ideal self-image. Fashion was influenced by unmatured, characteristic, sub-missive image, and the expenses of clothing (R2=28.9%). Aesthetics was influenced by characteristic image, the expenses of clothing, and age(R2=23.5%). Modesty was influenced by conservative, mature, and ordinary image (R2=8.3%). Coformity was influenced by ordinary image(R2=1.9%). Comfort was influenced by mature image and age(R2=5.6%). The findings indicated that self-image had a significant effect on fashion and aesthetics, and characteristic image and conservative image were important variables that affected clothing behavior of college men.

• 한국의류학회지
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• 제26권2호
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• pp.181-192
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• 2002

The purpose of this study is to clarify the expression of conceptual image by which the modern graphic artists use for creating new visual images and the characteristics in expression of the major fashion images in fashion illustration. In the present study, major findings on the basis of the analysis of expression of visual images in fashion illustration since 1980s are as follow: The conceptual image expression in the visual arts is based on the eight techniques. They are dual image, operation of image, copying·reproduction of image, deconstruction of image, pictorial image, symbolization of image, mystification of image, and making humorous image. Since 1980s, the major fashion images in fashion illustration are mainly classified as classic image, humor image, fantastic image, natural image, avant-garde image, simple image, casual image and feminine image. The characteristics in expression of these images in fashion illustration are; 1) fortification of dual image in classic image, 2) activation in humor image 3) grotesque fantastic image, 4) the modernization of natural image, etc. In addition that, the image of avant-garde is expressed by Postermodernism, Deconstructionism, Techno etc. since 1980s. Also, simple image of the modern composition, casual image of daily life, and feminine image which is emphasized with eroticism are also included in these characteristic in expression of images since 1980s.

• 간호행정학회지
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• 제8권1호
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• pp.107-121
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• 2002

The purpose of this study was to identify how nurse's image was perceived by nursing college students. The subjects included were 315 students experienced clinical practice during $20{\sim}22$ weeks and 134 students not with a total of 449 nursing students in Gwangju and Chonnam. The data were collected from November 21 to December 5, 2001 by the structured questionnaires. The research tool was measured by 30 items divided into four dimensions; traditional, professional, social and personal image of nurse. Cronbach $\alpha$ for the tool of nurse's image was 0.8960. The data were analysed by SPSS 8.0 for Windows program using frequency, percentage, mean, standard deviation, t-test, ANOVA and scheffe. The results of this study were as follows; 1. In the nurse's image related to general characteristics, there were significant differences for school graduation, applicative motivation, interpersonal relationship and image forming factor. 2. In the Image forming factors, nursing college students perceived the nurse's image by visiting hospital or admission(37.9%), watching TV(25.8) and others; nurses' appearance during clinical experience(16.3). 3. The mean score for nurse's image of clinical experience group (2.76$\pm$0.28) was lower than that of non-clinical experience group(2.89$\pm$0.31) in significance (t=4.319, p=0.000). 4. In the nurse's image according to clinical experience, there were significant differences for traditional, professional, social, personal image between two groups and the lower mean scores were found in the clinical experience group in all dimensions. The ranks of dimensions were professional image(3.08), traditional image(2.76), social image(2.65), the personal image(2.59) in clinical experience group, whereas professional image(3.21), traditional image(2.93), social image(2.75), personal image(2.71) for non-clinical experience group.5. The high score items of nurse's image were 'worthwhile work(3.48)', 'always working hard(3.30)', 'profession(3.17)', 'strong responsibility toward work(3.08)', 'have a high technical skill(3.05)' in clinical experience group and 'worthwhile work(3.69)', 'always working hard(3.28)', 'clean and decent(3.22)', 'profession(3.21)', 'have a bountiful professional knowledge(3.18)' in non-clinical experience group. 6. The highest mean score for nurse's image related to the image forming factors was 86.8 by novels or literature and the second highest was 84.3 by visiting hospital or admission. And others(mean=82.1)was the most negative nurse's image by clinical experience. In conclusion, nurse's image perceived by nursing college students will be the mirror of themselves. And clinical experience will be the important opportunity to form the professional image with white uniformed nurses in future. Therefore it is important for clinical nurses to play professional roles rightly so that nursing students could form positive nurse's image.

• 한국패션뷰티학회지
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• 제2권1호
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• pp.21-33
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• 2004

The main focus of this study is to provide the interrelation about the defining fashion model image by the fashion trend since 1960. This is expressed as follows, First, in the 60s'; 1) Image of innocent dolly style, Jean Shrimpton 2) Image of sexual style, Celia Hammond 3) Image of art style with charicteristic mask, Peggy Moffitt 4) Image of immature boyish style, Twiggy. Second, in the 70s'; 1) Image of natural and intelligent style, Larun Hutton 2) Image of exotic style with black beauty, Imman 3) Image of graceful and sexal style, Veruschka 4) Image of glamour and sexual style, Jerry Hall. Third, in the 80s'; 1) Image of unisexual style with power, Grace Jones 2) Image of graceful and noble style, In`es de la Fressange 3) Image of healthy and sexy style, Christie Brinkley 4) Image of sexy style with good sense, super model. And fourth, in the 90s' and now; 1) Image of glamour sexual style with self-consciousness, Claudia Shiffer 2) Image of graceful style with dignity, Christy Turlington 3) Image of asexual and androginous style, Stella Tennant), 4)Image of Twiggy style with immature and slender, Kate Moss 5) Image of new glamour style, Giseel Bundchen 6) Image of new style with unique beauty, Amber Vaiietta 7)Image of exotic style, Devon Aoki 8) Extraordinary, image of various style. The result of thir study, fashion models image have played a role in transmitting the style of fashion trend in their relevancy. Anyway it can be said that fashion models imply figurative meanings of the fashion trend.

• 융합신호처리학회논문지
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• 제23권2호
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• pp.97-106
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• 2022

본 연구에서 세포를 분별하기 위해 H&E 염색이 필요하다. 그러나 직접 염색하면 많은 비용과 시간이 필요하다. H&E 염색되지 않은 세포의 Phase image에서 H&E 염색이 된 세포의 Amplitude image로 변환 하는 것이 목적이다. FPM으로 촬영한 Image data를 가지고 Matlab을 이용해 매개변수를 변경해 Phase image와 Amplitude image를 만들었다. 정규화를 통해 육안으로 식별이 가능한 이미지를 얻었다. GAN 알고리즘을 이용해 Phase image를 기반으로 Real Amplitude image와 비슷한 Fake Amplitude image를 만들고 Fake Amplitude image를 가지고 MASK R-CNN을 이용하여 세포를 분별하여 객체화를 통해 구분했다. 연구 결과 D loss의 max는 3.3e-1, min은 6.8e-2, G loss max는 6.9e-2, min은 2.9e-2, A loss는 max 5.8e-1, min은 1.2e-1, Mask R-CNN max는 1.9e0, min은 3.2e-1이다.

• 한국정보처리학회논문지
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• 제7권2S호
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• pp.678-691
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• 2000

A variety of multimedia applications require multimedia database management systems to manage multimedia data, such as text, image, and video, as well as t support content-based image or video retrieval. In this paper we design and implement a content-based image retrieval system, BADA-IV/I$^2$R(Image Information Retrieval), which is developed based on BADA-IV multimedia database management system. In this system image databases can be efficiently constructed and retrieved with the visual features, such as color, shape, and texture, of image. we extend SQL statements to define image query based on both annotations and visual features of image together. A high-dimensional index structure, called CIR-tree, is also employed in the system to provide an efficient access method to image databases. We show that BADA-IV/I$^2$R provides a flexible way to define query for image retrieval and retrieves image data fast and effectively: the effectiveness and performance of image retrieval are shown by BEP(Bull's Eye Performance) that is used to measure the retrieval effectiveness in MPEG-7 and comparing the performance of CIR-tree with those of X-tree and TV-tree, respectively.

• 대한방사선기술학회지:방사선기술과학
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• 제44권6호
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• pp.655-661
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• 2021

Positron emission tomography (PET) images is affected by acquisition time, short acquisition times results in low gamma counts leading to degradation of image quality by statistical noise. Noise2Void(N2V) is self supervised denoising model that is convolutional neural network (CNN) based deep learning. The purpose of this study is to evaluate denoising performance of N2V for PET image with a short acquisition time. The phantom was scanned as a list mode for 10 min using Biograph mCT40 of PET/CT (Siemens Healthcare, Erlangen, Germany). We compared PET images using NEMA image-quality phantom for standard acquisition time (10 min), short acquisition time (2min) and simulated PET image (S2 min). To evaluate performance of N2V, the peak signal to noise ratio (PSNR), normalized root mean square error (NRMSE), structural similarity index (SSIM) and radio-activity recovery coefficient (RC) were used. The PSNR, NRMSE and SSIM for 2 min and S2 min PET images compared to 10min PET image were 30.983, 33.936, 9.954, 7.609 and 0.916, 0.934 respectively. The RC for spheres with S2 min PET image also met European Association of Nuclear Medicine Research Ltd. (EARL) FDG PET accreditation program. We confirmed generated S2 min PET image from N2V deep learning showed improvement results compared to 2 min PET image and The PET images on visual analysis were also comparable between 10 min and S2 min PET images. In conclusion, noisy PET image by means of short acquisition time using N2V denoising network model can be improved image quality without underestimation of radioactivity.

• 한국컴퓨터정보학회논문지
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• 제7권4호
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• pp.121-126
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• 2002

3차원 영상은 2차원 영상과 달리 사물을 직접 볼 때처럼 입체감을 느낄 수 있으며 영상을 통해 바라보는 공간과 자신의 공간 연결이 더 자연스러워지므로 시각정보에 큰 영향을 주고 있다. 2차원 영상을 3차원으로 변환하기 위하여 몇 가지 방법이 제시되고 있다. 본 논문에서는 3차원 영상을 변환하기 위하여 2차원 단일 영상을 사용하지 알고 계속적으로 입력되는 다중 영상을 MPEG의 움직임 벡터를 적용한 공간적 분석 알고리즘을 제안한 결과 실험대상으로부터 3차원 효과를 확인하였다.

• 산업경영시스템학회지
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• 제29권2호
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• pp.51-57
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• 2006

This study is concerned with image information management system for small scale hospital. We intended to developing image management system which is used of the existing analog devices such as medical camera, supersonic analyser, endoscope etc. We developed a video in interface board based USB 2.0 for handling image in real time. It is capable of transmitting image input signal like as NTSC, PAL to personal computer through USB 2.0. The developed the board of 40 speeds compared with the exiting system based USB 1.0. Especially the developed system is very helpful for small hospital like as dental clinic, because it is easy and convenient to manage image information without expert. So it will provide reduction of time and cost for handling image information(collecting, saving, retrieval, transmitting image).

• 한국의류학회지
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• 제17권3호
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• pp.367-379
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• 1993

The objectives of this study were to classify the contents of clothing image preferences of Korean and American students, and to examine how clothing image preferences vary according to sex role identity, sex, and culture. A woman's clothing image preference inventory and the Bem Sex Role Inventory were administered to 127 Korean students and 116 American students. Sex role idendity was classified into androgynous, masculine, feminine, and undifferentiated type. 1. Four segments of woman's clothing image preference derived by factor analysis : F. 1 'splendid-plain' ; F. 2 'feminine-masculine' ; F. 3 'casual-formal' ; F. 4 'classic-contemporary'. 2. Americans prefered splendid image more than did Koreans. Androgynous-typed males liked splendid image most among American male subjects. 3. There was interaction effect between sex and culture on feminine-masculine image preference. In Korean students, males liked feminine image much more than did females. Masculine-typed females liked masculine image most among American female subjects. 4. Koreans prefered casual image more than did Americans. 5. There was interaction effect between sex role identity, sex, and culture($4{\times}2{\times}2$) on classic-contemporary image preference. Feminine-typed females liked classic image most among Korean female subjects. 6. Korean males especially prefered luxurious image least. Korean females contemporary most, American males sexy most, American females fashionable most among four subject groups. That is, differences on clothing image preferences were found according to sex role identity, sex, and culture.