• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.368-372
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• 2009

Pin-hole model has been widely used as a robust tool for easily understanding how to obtain a stereo image and how to present the depth-cue to an observer in stereoscopy. However, most of the processes to analyze depth cue in stereoscopy are performed that a stereo image is taken by camera model practically but depth cue of the image is analyzed by pin-hole model. Therefore, the result of depth cues by the process to be uncorrected. The reason of the uncorrected depth cue is led to the image distances of camera model due to variable focused object distances, and it makes a depth distortion. In this paper, we tried to show the contradiction such as occurring depth distortion in the process which the pin-hole model is used to analyze depth cue despite practical camera model is used in stereoscopy, and we presents the method to overcome the contradiction.

• The Korean Journal of Rehabilitation Nursing
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• v.20 no.1
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• pp.33-41
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• 2017

Purpose: This study is a descriptive study to analyze the relationship between the cognitive function, body image and pain, and the influencing factors on the daily life performance of brain injured patients. Methods: The study subjects were 119 inpatients with brain injury who gave informed consent. The activities of daily living (ADLs), cognitive function, pain and body image were measured by Modified Barthel Index (K-MBI), K-MMSE (Mini-Mental State Examination), Visual Analog Scale (VAS), Semantic Differential Method (SDM), respectively. Results: ADLs was significantly associated with body image, cognitive function, and pain. Multiple regression analysis showed that paralysis, consciousness, cognitive function, and pain were significant factors influencing ADLs. Overall, approximately 48% of total variability in the ADLs could be explained by the 4 variables ($R^2=.477$, p<.001). Conclusion: To improve ADLs of brain injury patients, a deeper understanding of paralysis, consciousness, cognitive function, and pain of patients is required and active nursing invention should be conducted.

• Journal of the Korea Society of Computer and Information
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• v.20 no.9
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• pp.31-37
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• 2015

Symmetry is easily found in animals and plants as well as in artificial structures. It is useful not only for human cognitive process but also for image understanding by computer. Application areas include face detection and recognition, indexing of image database, image segmentation and detection, and analysis of medical images. The method used in this paper extracts edges, and the perpendicular bisector of any pair of selected edge points is considered to be a candidate axis of symmetry. The coefficients of the perpendicular bisectors are accumulated in the coefficient space. Axis of symmetry is determined to be the line for which the histogram has maximum value. This method shows good results, but the usefulness of the method is restricted because the amount of computation increases proportional to the square of the number of edges. In this paper, an acceleration method is proposed which performs $2^{2n}$ times faster than the original one. Experiment on 20 test images shows that the proposed method using level-3 image segmentation performs 63.9 times faster than the original method.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.193-200
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• 2005

Living room in modern housing accepts social behavior of modem family realized diversified life and the core of the housing space. So living room in the housing space is composed of many various components, handled very carefully in a color plan. This study is purposed on proposing basic data for color planing of the living room in an apartment, especially a sold housing accommodating the social change. As a result of understanding the color image of a apartment living room for the last 5 years, phenomenon of using natural color which makes people feel comfortable is common with durability. Also the image of space composition which usually called in modern, classic and dandy is appeared with various coloration easily in a medium-large or large living room, So these show the various demand of high-level or medium-level inhabitants. For an actual proof, basic data for research about the color image of a apartment living room in korea have to be accumulated constantly. After that the research which can take concrete shape and visualize the change of the color image of korean apartment living room will revitalize.

• The Research Journal of the Costume Culture
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• v.29 no.2
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• pp.167-184
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• 2021

The objective of this study was to develop a fashion therapy program for improving body image and self-esteem among male workers. Accordingly, the demand for fashion therapy programs was examined by conducting a literature review, survey, and in-depth interviews with men working in the Daegu and Gyeongbuk areas. The results are summarized as follows. The fashion therapy program followed a framework of "introduction-development-final" and was 60 minutes in length, for four sessions (one per week). The contents of the program consisted of a study of the participants' appearance and any concerns they had about their body in Session 1. In Session 2, differences in image perception were examined according to color coding of menswear and personal color. Session 3 comprised understanding what styling is required to supplement men's body shape and what style is suitable for each participant. The content of Session 4 determined how to build social performance or positive image using nonverbal elements. Overall, this study has great significance in that it has developed a study on fashion therapy program originally applied for psychological treatment with women that has been adapted as a program to help improve positive emotions and social competitiveness of male workers in an office environment.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.1
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• pp.65-81
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• 2023

The purpose of this study is to interpret the semantic actions of body image symbolized in body expression images shown by micro-influencers body profiles to understand the body profile phenomenon of the MZ generation. As a result of collecting body profile data from micro-influencers, the body profile image types of female influencers on SNS were classified into four types, Athletic, Slim body, Natural, and, Glamorous. Images representing each type were analyzed using the Roland Barthes' Myth model analysis frame. As a result of the semantic analysis, influencers were found to be very active and bold, emphasizing certain body parts according to the type of body image they pursue. Fashion is strategically used to emphasize these aspects. It was found that the ideology of a 'subjective modern woman' was commonly expressed through emphasis on visual signs. This study is meaningful in that it can indirectly lead to the understanding the fashion culture expressed by the MZ generation and provide consumer information and essential data that can be used for communication strategies in the fashion market.

• Journal of Science of Art and Design
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• v.8
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• pp.211-239
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• 2005

The purpose of this thesis is to explore a common characteristic of the diverse oriental images mainly from the figurative point of view, and apply it to the contemporary expressions and methods of painting. To do that, I separated the concept of figure into two factors - form and image - and then approached and solved the problems of figure by explaining the two factors respectively. Separating form from image is neither to set two factors against each other nor to isolate any of those values. It is worth dividing the form and the image not only because the image of the oriental painting has a figurative value constituted from an external frame of the form, but also because it has a close connection with the meaning that the form holds inside. These are the reasons why I conceptualize the individual language of form and image. Furthermore, I attempted to investigate how those two factors and mutual relations between them make real figurative images under the principle of harmony and coexistence. The theme of this thesis - the figurative aesthetics and its contemporaneity in the oriental paintings is analyzed based on the understanding of 'figure' within the framework of oriental paintings. A research of image from the figurative point of view is valuable in that it criticizes the past method of thinking, and proposes an alternative formula for new way of thinking. In this regard, I indicated the limit of the theory of form-and-spirit that has been one of the most important conceptual theories . Instead, I' accessed to various aesthetic concepts - that are created in the course of image formulation - from the actual figurative point of view, and then even interpreted it as a figurative value of the oriental paintings and it's application within the specific and practical scope. During the course of research, I explored the conceptual elements of the tradition and the principle of figuration. I expect this study to make a footstone for bringing traditional aesthetics to the contemporary context of oriental painting.

• Journal of the Korean Home Economics Association
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• v.29 no.4
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• pp.45-64
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• 1991

Each of us has personal and unique "Mental Images" of environment that are the results of a two-way process between an observer and his environment. By understanding of people's image on their physical settings through cognitive maps, congruent with their design environment. In this context, this study is to fine out the characteristics of the resident's image in apartment housing that are modern housing. This paper is theoretically based on Appleyard's cognitive maps types, Lynch's the components of image, Harrison and Howard's image enhancing factors and Applyard's image enhancing factors of buildings. For the purpose of this study, two-instruments were used. One was sketch mapping, that told of visual aspects of cognitive map. Another was verbal questionnaire, which was composed of nonvisual aspects of image components and image enhancing factors. For the methods of research analysis, Percentage, Frequency, and Chi-square test were used. The results of this study are as follows. Firstly, as for the types of cognitive maps, the rate of sequential maps and spatial maps are nearly same. Secondly, as for the components of images, landmarks and districts are significant elements in apartment housing, and edges, nodes and paths are rare element. Thirdly, with regard to image enhancing factors, landscaping is shown to be most effective at landmarks and districts. And finally, in examing the differences of images between various social groups, significant variables are years of living and housing size. Age and income are the next. In this study of image, we can learn about manner in which individuals come to see, understand, and cope with the environment at a personal level. So, user-oriented approach is useful in environmental design, and particularly, it is useful in the apartment housing of the future life space.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1111-1120
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• 2022

Image Capturing is a matter of viewing images and describing images in language. The problem is an important problem that can be solved by keeping, understanding, and bringing together two areas of image processing and natural language processing. In addition, by automatically recognizing and describing images in text, images can be converted into text and then into speech for visually impaired people to help them understand their surroundings, and important issues such as image search, art therapy, sports commentary, and real-time traffic information commentary. So far, the image captioning research approach focuses solely on recognizing and texturing images. However, various environments in reality must be considered for practical use, as well as being able to provide image descriptions for the intended purpose. In this work, we limit the universally available Korean and English image captioning models and text generation techniques for the purpose of image captioning.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.3
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• pp.63-73
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• 2022

A more accurate understanding of the irrigation water supply is necessary for efficient agricultural water management. Although we measure water levels in an irrigation canal using ultrasonic water level gauges, some errors occur due to malfunctions or the surrounding environment. This study aims to apply CNN (Convolutional Neural Network) Deep-learning-based image classification and segmentation models to the irrigation canal's CCTV (Closed-Circuit Television) images. The CCTV images were acquired from the irrigation canal of the agricultural reservoir in Cheorwon-gun, Gangwon-do. We used the ResNet-50 model for the image classification model and the U-Net model for the image segmentation model. Using the Natural Breaks algorithm, we divided water level data into 2, 4, and 8 groups for image classification models. The classification models of 2, 4, and 8 groups showed the accuracy of 1.000, 0.987, and 0.634, respectively. The image segmentation model showed a Dice score of 0.998 and predicted water levels showed R² of 0.97 and MAE (Mean Absolute Error) of 0.02 m. The image classification models can be applied to the automatic gate-controller at four divisions of water levels. Also, the image segmentation model results can be applied to the alternative measurement for ultrasonic water gauges. We expect that the results of this study can provide a more scientific and efficient approach for agricultural water management.