• Journal of the Korean Society of Food Culture
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• v.24 no.6
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• pp.649-654
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• 2009

This study has a purpose of suggesting the basic data to achieve customer satisfaction by understanding the preference of each type of restaurant industry for the taste of customers in 20's referring to 8 images. In the preference for style of image in dining space, the participants responded that they prefer natural, modern and romantic image, and both male and female participants preferred natural image. Participants responded that they prefer natural, romantic and modern in sequence as their general preference for style of image in dining space, and male participants preferred modern and natural but female participants preferred romantic and natural. The survey that was conducted for different menus has suggested that the reasonable image for fast food is casual, hard casual and classic for hotel restaurant, casual for school restaurant, romantic for cafe, casual for western restaurant, simple for Japanese restaurant, classic and elegance for Chinese restaurant and natural for Korean restaurant. According to the result of the analysis of dining space image, factor 1 are called 'cold image (CI)' as they have simple and modern image, factor 2 are called 'soft image (SI)' as they have natural and romantic image, factor 3 are called 'warm image (WI)' as they have casual and elegance image and factor 4 are called 'hard image (HI)' as they have classic image.

• Journal of the Korean Society of Fashion and Beauty
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• v.2 no.3 s.3
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• pp.44-59
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• 2004

The purpose of this study was to find out proper evaluative words according to fashion image and to identify the correlation between clothing style and hair style related to fashion image. The questionnaire was used to collect data. 326 female aged between 23 to 40 were selected for the subjects of this study. The data were analyzed by frequency, factor analysis, pearsons correlation. The results of this study were as follows. 1. Evaluative words for each fashion image were selected by factor analysis. modern image intellectual, cold, urbane, simple, straight. elegance image : graceful, dignified, refined, decorous, luxurious. romantic image : cute, lovely, girlish, feminine, romantic. natural image : natural, comfortable, gentle, intimate, soft. casual image : energetic, active, free, cheerful, vivid. avant-garde image : experimental, strange, creative, avant-garde, irregular. 2. Correlation between clothing style image and hair style image ; clothing style and hair style was positively correlated. with the same image in case of modern, romantic, casual, elegance and avantgarde but natural image of clothing style was correlated with the natural, elegance, romantic, modern image of hair style. 3. The most suitable hair style for the clothing style according to fashion image : The clothing style of a particular image was matched best with the hair style of the same image.

• Proceedings of the Korean Institute of Interior Design Conference
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• 1999.04a
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• pp.94-97
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• 1999

The purpose of this study was to prepare the visual communication tool, which would be used for the interior design consulation to reduce the communication gap between an interior designer and a client. To achieve the study purpose, review of literature, questionnaire survey, qualitative analysis and design research methods were used. The major results of this study were as follows: 1) "Image Cube" was designed as a comprehensive rule to classify interior image types. By this, eight interior image types were classified: SFU(Simple-Formal-Urbane), SFN(Simple-Formal-Natural), SCU(Simple-Casual-Urbane), SCN(Simple-Casual-Natural), DFU(Decorative-Formal-Urbane), DFN(Decorative-Formal-Natural), DCU(Decorative-Casual-Urbane), DCN(Decorative-Casual-Natural). 2) The Interior image collages were composed to present the overall feeling of each interior image type. 3) The Interior image models which would be used as the standard to be modified to various sub-types through the interior design consultation were produced corresponding to interior image types.age types.

• Journal of the Korean Society of Costume
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• v.58 no.10
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• pp.135-147
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• 2008

The purposes of this study were to segment consumers by Korean image perceptions and to investigate the differences among the segmented groups in regard to Korean image preferences in casual wear The subjects of the study were 653 women consumers who lived in Seoul. Data were collected from July to September, 2007. Statistical analyses used in the study were factor analysis, cluster analysis, ANOVA, and Duncan test. The results showed that there were four factors of Korean image perceptions: natural, feminine, passionate, and simple images. Based on the four factors, the consumers were segmented into three groups. They were natural image perception group, low interest group, and feminine image perception group. The results showed that there were significant differences among the segmented groups in regard to Korean image preferences In casual wear. For example, natural image perception group prefer diverse Korean prints, blue and green colors, natural fabrics, and diverse casual types for their Korean image casual wear. In the meanwhile, feminine image perception group generally prefer soft fabrics, red and purple colors in their Korean image casual wear.

• Journal of the Korean Home Economics Association
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• v.49 no.8
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• pp.13-24
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• 2011

This paper purports to find the characteristics of blue costumes as expressed in modern fashion. As such, we made an empirical analysis, using 436 works from 2006 S/S through 2010 F/W collections. Result indicated that modernness was emphasized by applying a minimum expressive technique to items of a simple form, and an image of simplicity was emphasized by placing focus on the rational color image of blue. Second, images of blue, such as trust, stability, and success were expressed as refined elegance through the combination of tight silhouettes, glossy and translucent materials, and indirect exposure. Third, natural image was expressed through natural silhouettes, soft or natural materials, gradation of various tones, and natural motif decorations as well as the color itself. Fourth, dynamic image was expressed by introducing fashion items, mostly worn by men only, to simple and tight forms or through the inspiration of a masculine fashion image. Fifth, abstinent image was expressed by using an image of religious apparel or symbols, covering up the body, minimizing details, and using a dark blue tone.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.153-156
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• 2002

The image labeling and classification is one of the important tasks for a content-based image retrieval and an image understanding. This paper propose a new technique to label and classify natural images with a color-spatial histogram and production rules. We show that our proposed method is very efficient for a natural image composed of a few regions.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.196-207
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• 1999

The purpose of this study was to investigate the differences of the visual evaluation for the Picture image combination of Clothing and Ground. The major finding were as follows ; 1) For the visual evaluation of the Picture image as Clothing variation there were significant differences in all factors 2) For the visual evaluation of the Picture image as Ground variation there were significant differences in Attractiveness Hardness and softness Cuteness Attention Cool and Warm factor 3) For the visual evaluation of the Picture image as Percentage of Clothing there were significant differences in Attractiveness cool and Warm factor. It will Percentage of Clothing there were significant differences in Attractiveness Cool and Warm factor. It will aid in choosing the most beneficial background for any clothing brand. It will enhance the picture images to their full potential in any advertising medium 4) As a result of Regression analysis image effecting on " Preference" is refined-country like harmonious-inharmonious comfortable-uncomfortable beautiful-ugly splendid-dull stable-uneasy live-gentle 5) For the Image effecting on "Harmony" according to clothing image there were significant differences. the results analyzed according to the change of background are as follows. Mdern and strong images formed charming urban and cool visual images with urban and neat artificial backgrounds. Mature images were created with romantic and static artificial backgrounds. Mannish straight and conservative images created charming and rigid visual images in urban and formatted artificial background. Using a white natural background for the urban style created a cool visual image. The use of an interior background lead to warmer images and more defination lines Causal images created a rural and warm image which expressed charm and a soft visual while using a rural and natural background. A most unharmonious and hard image was created when using an urban and formatted artificial background. The coolest visual image was created with a cool and natural background. Feminine and flawless images created urban and neat visual image using an urban and formatted artificial background. The coolest visual image was fresh created with a cool and natural background. natural background.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.21 no.2
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• pp.1-9
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• 2015

Purpose: This study was conducted to investigate the perceived image of nurses on major and non-major students. Methods: The subjects were 120 nursing school students and 120 other university students in J province. The data was collected by using structured questionnaire. T-test, ANOVA were performed by SPSS/PC 20.0. Results: The score for image of nurses was as follows. special image($3.86{\pm}0.51$), traditional image($3.71{\pm}0.53$), individual image($3.53{\pm}0.85$), social image($3.43{\pm}0.58$), and grand mean($3.66{\pm}0.48$). Perceived image of nurses was significant difference between students of a major and non-major(t=6.390, p<.001). Conclusion: It is needed to monitoring of media for the improvement the perceived image of nurses and also nurses have to try to make an individual role model.

• The Research Journal of the Costume Culture
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• v.9 no.4
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• pp.629-638
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• 2001

This study was intended to identify the desired image and fabric preference of woman college student for apparel and the relationship between these variables. Data were collected by questionnaire distributed to 260 woman college students through August to September of 2000. After eliminating incomplete questionnaires, 236 were analyzed. The most desired image was neat, and the most preferred fabric was natural fiber textile in fiber contents and light and soft in fabric sensation. The avoided image was masculine, and the negative sensation was heaviness. As a result of factor analysis, 7 factors -cute, intellectual, animate, neat, mature, sporty, sexy- were determined in image. And 8 factors -soft, durable, flat, rigid, light, bulky, heavy, pliable- were determined in fabric sensation. These factors explained large percentage of variance respectively. Multidimensional scaling was employed to analyze the relationship between desired image and fabric preference. Two dimensions were accepted to interpret the relationship. One of the results showed the closeness among the natural fiber textile, lightness, durability and natural image. And the short distance among the blended textile, elasticity, warmness and sporty image was presented.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.99-107
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• 2024

In AI image generation tools, most general users must use an effective prompt to craft queries or statements to elicit the desired response (image, result) from the AI model. But we are software engineers who focus on software processes. At the process's early stage, we use informal and formal requirement specifications. At this time, we adapt the natural language approach into requirement engineering and toon engineering. Most Generative AI tools do not produce the same image in the same query. The reason is that the same data asset is not used for the same query. To solve this problem, we intend to use informal requirement engineering and linguistics to create a toon. Therefore, we propose a sequence diagram and image generation mechanism by analyzing and applying key objects and attributes as an informal natural language requirement analysis. Identify morpheme and semantic roles by analyzing natural language through linguistic methods. Based on the analysis results, a sequence diagram and an image are generated through the diagram. We expect consistent image generation using the same image element asset through the proposed mechanism.