• 대한가정학회지
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• 제45권7호
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• pp.131-140
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• 2007

The purpose of this study was to examine the influence of aesthetic surgery attitude, self-esteem and body image on clothing behavior. Subjects were 356 female college students in Seoul. The data obtained were analyzed by reliability analysis, factor analysis, correlation analysis, stepwise multiple regression analysis and t-test. The major results of this study were as follows: First, five factors of aesthetic surgery attitude were identified: risk tolerance of aesthetic surgery, need of aesthetic surgery, image improvement via aesthetic surgery, keeping the secret of aesthetic surgery, and others' expectation of aesthetic surgery. Second, significant relationships were found between body image and clothing behavior, and self-esteem and body-enhancement of clothing. Also, risk tolerance of aesthetic surgery, need of aesthetic surgery, and image improvement via aesthetic surgery had a significant correlation with clothing behavior. Third, the most important variable which affected the aesthetics and body-enhancement of clothing was body image. The entertainer imitation behavior of clothing was influenced by need of aesthetic surgery, body image, keeping the secret of aesthetic surgery, risk tolerance of aesthetic surgery, and image improvement via aesthetic surgery. Preference for luxury goods of clothing was influenced by need of aesthetic surgery and body image. Body-enhancement of clothing was influenced by body image, image improvement via aesthetic surgery, and self-esteem.

• 한국학교보건학회지
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• 제23권2호
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• pp.125-132
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• 2010

Purpose: In an attempt to investigate the ideal body image, body importance and body satisfaction by gender role identity, this study was carried out in male college students. Methods: The subjects were 323 male college students in all of Korea except Jeju province. The data was collected by using the questionnaires, Korean Sex Role Inventory and modified Multidimensional Body-Self Questionnaire. Results: Normal shape ranked first as ideal body image in all 4 types of gender role identity. Androgyny, femininity and masculinity type were significantly higher than undifferentiated type in body importance. And androgyny and masculinity type were significantly higher than femininity and undifferentiated type in body satisfaction. Conclusion: Androgyny and masculinity type were positively related to self body image, but undifferentiated type was negatively related to compared with androgyny and masculinity type. And to reinforce androgyny and masculinity in male college students, various programs should be developed.

• 한국인쇄학회:학술대회논문집
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• 한국인쇄학회 2007년도 추계 학술논문 발표회
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• pp.45-57
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• 2007

Properties of newly developed paper from Red Algae Pulp (RAP) were examined. The paper samples were prepared according tomixing RAP fiber with wood fibers, HwBKP and SwBKP, to form a paper with 60 g/$m^{2}$ in weight. It was prepared in three to four different levels of refining degree and pressure so that it can reveal different bulk level in order to clearly compare the opacity at equivalent bulk for each furnish compositions. printability of RAP fiber revealed superior effect on print through repression and initial ink absorption. Those properties are expected to improve further if printability improvement effect due to smoothness improvement is added.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1228-1248
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• 2020

Steganalysis & steganography have witnessed immense progress over the past few years by the advancement of deep convolutional neural networks (DCNN). In this paper, we analyzed current research states from the latest image steganography and steganalysis frameworks based on deep learning. Our objective is to provide for future researchers the work being done on deep learning-based image steganography & steganalysis and highlights the strengths and weakness of existing up-to-date techniques. The result of this study opens new approaches for upcoming research and may serve as source of hypothesis for further significant research on deep learning-based image steganography and steganalysis. Finally, technical challenges of current methods and several promising directions on deep learning steganography and steganalysis are suggested to illustrate how these challenges can be transferred into prolific future research avenues.

• 대한의용생체공학회:의공학회지
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• 제26권4호
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• pp.185-191
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• 2005

In this paper, we proposed a downscaled 3D object technique using medical images for telediagnostic use. The proposed system consisted of downscaling/thresholding processes for building a downscaled 3D object and a process for obtaining 2D images at specific angles for diagnosis support. We used 80 slices of Digital Imaging and Communication in Medicine(DICOM) CT images as sample images and the platform-independent Java language for the experiment. We confirmed that the total image set size and transmission time of the original DICOM image set using a down-scaled 3D object decreased approximately $99\%\;and\;98.41\%,$ respectively. With additional studies, the proposed technique obtained from these results will become useful in supporting diagnosis for home and hospital care.

• 한국인쇄학회지
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• 제25권2호
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• pp.45-57
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• 2007

Properties of newly developed paper from Red Algae Pulp (RAP) were examined. The paper samples were prepared according tomixing RAP fiber with wood fibers, HwBKP and SwBKP, to form a paper with $60\;g/m^2$ in weight. It was prepared in three to four different levels of refining degree and pressure so that it can reveal different bulk level in order to clearly compare the opacity at equivalent bulk for each furnish compositions. printability of RAP fiber revealed superior effect on print through repression and initial ink absorption. Those properties are expected to improve further if printability improvement effect due to smoothness improvement is added.

• 천문학회지
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• 제52권2호
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• pp.49-55
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• 2019

The New Vacuum Solar Telescope (NVST) is the largest solar telescope in China. When using CCDs for imaging, equal-thickness fringes caused by thin-film interference can occur. Such fringes reduce the quality of NVST data but cannot be removed using standard flat fielding. In this paper, a correction method based on multi-scale decomposition and adaptive partitioning is proposed. The original image is decomposed into several sub-scales by multi-scale decomposition. The region containing fringes is found and divided by an adaptive partitioning method. The interference fringes are then filtered by a frequency-domain Gaussian filter on every partitioned image. Our analysis shows that this method can effectively remove the interference fringes from a solar image while preserving useful information.

• 한국의학물리학회지:의학물리
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• 제20권4호
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• pp.199-207
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• 2009

Computed Radiography (CR) 시스템에서 영상의 신뢰성과 재현성을 높이기 위해서는 영상 획득 과정의 마지막 단계에서 이루어지는 나트륨램프의 소거에 의한 Image Plate (IP)의 완전한 초기화가 매우 중요하다. 본 연구에서는 CR (Agfa CR 25; Agfa, BELGIUM)을 이용하여 잠상의 소거 후 지연시간에 따른 노이즈의 평가, 소거량에 따른 잠상의 소거 후 노이즈의 평가, 그리고 American Association of Physicist in Medicine (AAPM) Report 93 (2006)의 CR acceptance test 중 erasure thoroughness 평가를 시행하였다. 임상에서 주로 쓰이는 Chest postero-anterior (PA), Hand PA, L-spine lateral을 촬영 후 스캔하였다. Chest PA와 L-spine lateral은 Chest phantom (3D-torso; CIRS, USA)을 이용하여 촬영했고 Hand PA는 피검자를 통해 촬영되었다. 실험 결과 Hand PA를 제외한 나머지 unexposed image에서 지연시간이 길어질수록 전반적으로 ghost image를 비롯한 noise가 증가하였으며, overexposure된 부분을 따라 ghost image가 나타났다. 지연시간에 의해 야기된 noise에 의한 영향은 육안으로 확인되지 않았다. 픽셀 값의 standard deviation (SD)은 overexposure 된 부분이 상대적으로 높게 측정되었다. 잠상의 소거 정도에 따른 영상의 noise평가 결과 Hand PA, Chest PA는 소거 정도 값이 높아져도 noise는 증가하지 않았다. 그러나 상대적으로 조사선량이 큰 L-spine lateral은 기준 소거 정도보다 낮을 경우 noise가 발생하였다. Erasure thoroughness 평가 결과 학과 내 CR 장비의 잠상소거능력은 기준치에 부합함을 확인하였다. 본 연구가 IP 초기화에 기초적인 자료를 제공함으로써 신뢰성 있는 영상을 획득하는데 기여할 것으로 기대한다.

• 한국생활과학회지
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• 제15권6호
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• pp.1049-1062
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• 2006

The purpose of this study is to find out the image according to formative properties of hat and garment in the fashion collection. For the study, the 96 stimuli found frequently in fashion collection from the S/S season of 1998 to the F/W season of 2004 were selected. Sets of stimulus and response scales (7 point semantic) were used as experimental materials. The stimuli were 96 pictures with the types of hat(4), the lengths of hair(3), the types of garment(3), the relations between the color of garment and hat(4), and the materials(4) and patterns of garment(2). The subjects were 415 women college students majoring fashion design related fields and living in Seoul and Gyeongsangnam-do. As statistical methods for data analysis, Factor Analysis, ANOVA test, and LSD test were used. The items of the adjectives were classified into 5 image dimensions; attractiveness, gracefulness, concentration, cuteness, and hardness and softness. Among these factors, each dimensional image was affected by formative properties of hat and garment. The image of a hat-wearer was perceived differently according to the hair style and the formative properties of hat and garment even if the type of hat was same.

• Journal of Information Processing Systems
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• 제13권2호
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• pp.305-320
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• 2017

The selection of subset size is of great importance to the accuracy of digital image correlation (DIC). In the traditional DIC, a constant subset size is used for computing the entire image, which overlooks the differences among local speckle patterns of the image. Besides, it is very laborious to find the optimal global subset size of a speckle image. In this paper, a self-adaptive and bidirectional dynamic subset selection (SBDSS) algorithm is proposed to make the subset sizes vary according to their local speckle patterns, which ensures that every subset size is suitable and optimal. The sum of subset intensity variation (${\eta}$) is defined as the assessment criterion to quantify the subset information. Both the threshold and initial guess of subset size in the SBDSS algorithm are self-adaptive to different images. To analyze the performance of the proposed algorithm, both numerical and laboratory experiments were performed. In the numerical experiments, images with different speckle distribution, different deformation and noise were calculated by both the traditional DIC and the proposed algorithm. The results demonstrate that the proposed algorithm achieves higher accuracy than the traditional DIC. Laboratory experiments performed on a substrate also demonstrate that the proposed algorithm is effective in selecting appropriate subset size for each point.