• Korean Parent-Child Health Journal
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• v.15 no.1
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• pp.33-38
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• 2012

Purpose: The family is a primary environment and has pivotal role for child health and development. This study was conducted to identify the relations of family strengths to body image and self-esteem in late school aged children. Methods: Data were collected from 455 children at 5th and 6th grades in four provinces of South Korea using self-report questionnaires for measuring body image, self-esteem, and family strengths. Pearson's correlation analysis and t-test, ANOVA were used to identify the relationships among variables, and compare body image, self-esteem, and family strengths according to general characteristics. Results: Body image, self-esteem and family strengths were significantly different according to economic status and academic performance. Family strengths were also affected by the presence of both parents. Body image, self-esteem and family strengths showed significant positive correlations. Conclusion: The family relations of school aged children are important for child's body image and self-esteem. We recommend that psycho-emotional interventions should be developed for both the children and their parents with low family strengths to improve body image and self-esteem.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1315-1318
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• 2003

In this paper, a neural network based approach using a self-organizing feature map is proposed for the segmentation of X ray images. A number of algorithms based on such approaches as histogram analysis, region growing, edge detection and pixel classification have been proposed for segmentation of general images. However, few approaches have been applied to X ray image segmentation because of blur of the X ray image and vagueness of its edge, which are inherent properties of X ray images. To this end, we develop a new model based on the neural network to detect objects in a given X ray image. The new model utilizes Mumford-Shah functional incorporating with a modified adaptive SOFM. Although Mumford-Shah model is an active contour model not based on the gradient of the image for finding edges in image, it has some limitation to accurately represent object images. To avoid this criticism, we utilize an adaptive self organizing feature map developed earlier by the authors.[1] It's learning rule is derived from Mumford-Shah energy function and the boundary of blurred and vague X ray image. The evolution of the neural network is shown to well segment and represent. To demonstrate the performance of the proposed method, segmentation of an industrial part is solved and the experimental results are discussed in detail.

• The Research Journal of the Costume Culture
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• v.8 no.2
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• pp.305-314
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• 2000

The purposes of this study were (1) to segment the men in twenties and thirties according to apparel shopping orientation and (2) to create a profile for each group with regard to importance of store attributes, self-image and demographic variables. The questionnaire was administered to men in twenties and thirties living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, χ²-test, and one-way ANOVA. The results were as follows : 1) By cluster analysis of apparel shopping orientation factors, three groups were identified : (1) ostentatious shopper(44.5%), (2) practical shopper(21.8%), and (3) individuality-pursuit shopper(33.7%). 2) Three groups were compared on store attributes and self-image. Significant differences were found among the three groups on two variables. Ostentatious shoppers pursued the masculine and sophisticated image and tended to prefer the store image and reputation, convenient transportation and parking place, and variety of products. Practical shoppers pursued the self-image which reflected the conservative and not-noticeable image and considered the moderate price of the products most importantly. Finally, individuality-pursuit shoppers preferred the sexy and noticeable image and considered the display and accommodation of the trendy products. 3) In terms of the demographic variables the significant differences were found on education, occupation, monthly income, and marital status. In general ostentatious shoppers tended to earn higher monthly income than those of the two groups. Practical shoppers tended to be well-educated and individuality-pursuit shoppers tended not to be married.

• Archives of design research
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• v.19 no.3 s.65
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• pp.31-44
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• 2006

With 'the improvement of brand image through the consolidation of the online and offline brand images' as the goal, the focus of this study lies in brand color. In order to analyze the differences between the website and offline image of a brand, as felt by the consumers, a survey on color image was conducted. Using the results of the survey as the foundation, a comparative analysis of online and offline color images was conducted, and the discrepancies between the two specified. Furthermore, solutions in creating websites that cultivate brand consolidation through color consolidation are presented. Using the thesis 'Research on the Color Strategy of Brand-name Coffees,' as a guide, and supplementing it with necessary improvements, this study presents three areas to consider when designing or managing websites for offline brands. First of all, color image is not static but variable, meaning that it appeals to the consumers differently, depending on change in other brands, trends, consumer point of view, etc. Thus, color image must be flexible. Secondly, overall brand image can be improved by its offline color. However, it should be realized that identical colors could produce different results online and off. Lastly, in general, the online image falls behind the offline image, in regard to color strategy. Therefore, more meticulous and carefully planned color design is necessary, as is the consideration of the unique and distinctive qualities of the World Wide Web.

• Journal of IKEEE
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• v.18 no.1
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• pp.77-95
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• 2014

In general, image acquisition characteristics tests of image sensors and modules vary widely according to the characteristics of image sensors and modules under test, the application purpose of target devices where image sensors and modules are mounted, and the functions of test equipments. However, some de facto standard tests are frequently used in industry fields. They differ only in several parameters e.g. thresholds for fault detection, and they can be applied to most image sensors and modules. In this paper, 11 typical tests are explained in detail, and they are described in a simple and clear form under single framework, which significantly reduces errors and saves efforts.

• Fashion & Textile Research Journal
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• v.9 no.2
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• pp.197-202
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• 2007

The femme fatale image presently observable in various fields is reproducing its image through repetitive imitation, change and application, in particular, through 'movies' which have a greater ripple effect on the public than any other mass media by incessantly producing a countless number of images. This study aims to figure out the intrinsic meaning and the characteristics of the image of femme fatale, understand the modern expression of it in movies and finally shed light on its image represented in Korean movies. For this study, the literature and internet materials related to the image of femme fatale in the movie "Sympathy for Lady Vengeance" and the general concept of femme fatale were comprehensively surveyed. The femme fatale image which is represented in this movie is classified into 4 images ; disguise & mystery, retribution & cruelty, enchantment & beauty, salvation & redemption. The findings of this study provide an insight into how the femme fatale image is expressed in movies, the mass media which has a gigantic ripple effect, and provide the momentum to recognize the need and significance of understanding the femme fatale image represented in Korean movies.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.289-297
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• 2007

Color image scale captures the knowledge of colorists and represents both adjectives and colors in the same adjective image scales in order to select color(s) corresponding to an adjective. Due to the difficulty of psychological experiment and statistical analysis, in general, only a limited number of colors are located in the color image scales. This can make color selection process hard especially to non-expert. In this paper, we propose an interpolation of color image scale based on the fuzzy K-nearest neighbor method, which provides continuous colors according to the coordinates of the image scales. The experimental results show that the interpolated image scales can be practically useful for color selection process.

• Journal of Distribution Science
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• v.16 no.8
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• pp.51-61
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• 2018

Purpose - To active the Korea kimchi distribution, this study aims to investigate the effect of Korea national image and kimchi image on kimchi purchase intention. this study suggest the strategies for kimchi export to China by examining how the Chinese perceptions of Korean kimchi. Research design, data, and methodology - For this study, empirical analysis was conducted based on survey results. A questionnaire was distributed to a total of 400 Chinese consumers. Of these, 280 were collected and 278 were used for statistical processing, excluding 2 that were found to be unsuitable for analysis. This study was performed by the regression analysis using the spss24 statistical program. Results - As a results, It was not significant that the Chinese consumers' familiarity on the Korea image will have a positive effect on their kimchi purchase intention. On the other hand, the kimchi/Korean food image of Chinese consumers' will increase their kimchi consumption experience. Conclusions - The Chinese consumers' positive image on kimchi/Korean food in terms of the unique characteristics of kimchi, health aspects and preference of kimchi is positively influenced when they have higher image on Korea related to its national characteristics, and that of the higher image for Korea has a positive effect on kimchi purchase intention.

• 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.

• Journal of the Korean Society of Costume
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• v.52 no.5
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• pp.31-45
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• 2002

In this paper. the focus is laid on identifying preferred wedding dress image and its co-relationship with self image of female university students. the biggest potential customer group in the industry. As for the research method. it conducted both review of literature and empirical research method. Through the former approach, four main research questions were derived : 1) What is the preferred wedding dress image of female university students\ulcorner 2) What is the relationship between real self-image and preferred wedding dress image\ulcorner and 3) that between ideal self-image and preferred wedding dress image\ulcorner 4)What is the relationship between the consistency level of the two self-images and preferred wedding dress image\ulcorner In the empirical mode of research, 404 surveys were counted in the final analysis among 450 questionnaires completed by female undergraduate students in Seoul and Chun-an city. Collected data analyzed using factor analysis. frequency analysis. descriptive analysis. scheffe test. multiple-regression analysis and t-test. Results are as follows: first, the sophisticated image was most preferred among female students, followed by elegant splendor. lovable and chaste, feminine and decorative, and characteristic and sexy image. This result indicates how wedding dress trend has a keen sensibility to general fashion trend just like the trend of outfits for everyday life. Secondly, the research results indicated consistent level of co-relationship among the real and ideal self-image and the preference of wedding dress image. And the last the level of consistence between the ideal self-image and the real self-image directly related to the preference level of wedding dress image, showing almost no significance.