• Transactions of the Korean Society of Mechanical Engineers B
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• v.41 no.2
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• pp.117-124
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• 2017

The performance of the colored Gauss-Seidel solver on CPU and GPU was investigated for the two- and three-dimensional heat conduction problems by using different mesh sizes. The heat conduction equation was discretized by the finite difference method and finite element method. The CPU yielded good performance for small problems but deteriorated when the total memory required for computing was larger than the cache memory for large problems. In contrast, the GPU performed better as the mesh size increased because of the latency hiding technique. Further, GPU computation by the colored Gauss-Siedel solver was approximately 7 times that by the single CPU. Furthermore, the colored Gauss-Seidel solver was found to be approximately twice that of the Jacobi solver when parallel computing was conducted on the GPU.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.4
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• pp.516-521
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• 2010

In this paper, we propose a video-based intelligent unmanned fire surveillance system using fuzzy color models. In general, to detect heat or smoke, a separate device is required for a fire surveillance system, this system, however, can be implemented by using widely used CCTV, which does not need separate devices and extra cost. The systems called video-based fire surveillance systems use mainly a method extracting smoke or flame from an input image only. The smoke is difficult to extract at night because of its gray-scale color, and the flame color depends on the temperature, the inflammable, the size of flame, etc, which makes it hard to extract the flame region from the input image. This paper deals with a intelligent fire surveillance system which is robust against the variation of the flame color, especially at night. The proposed system extracts the moving object from the input image, makes a decision whether the object is the flame or not by means of the color obtained by fuzzy color model and the shape obtained by histogram, and issues a fire alarm when the flame is spread. Finally, we verify the efficiency of the proposed system through the experiment of the controlled real fire.

• Journal of Korean Society of Archives and Records Management
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• v.3 no.2
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• pp.143-155
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• 2003

As archives, photograph is the evident records of historical facts and experiences. Thus, it is worth preserving. Unlike other documents silver halide photographic films and prints are quite sensitive to environmental factors such as light, temperature and humidity, which demands careful treatment in preservation. This study was carried out to select popular photographic films and papers on the market, to examine their photographic speeds (or sensitivities) and to compare and analyze their preservative features after keeping them some time in a weather-o-meter. Consequently, B/W materials were superior to color ones in preservation. And films were better than papers in the same manner. But we were not able to observe remarkable differences among material's manufacturers.

• Journal of the Korea Society of Computer and Information
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• v.18 no.12
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• pp.65-73
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• 2013

As the advent of the digital age, documents are often scanned to be archived or to be transmitted over the network. The largest proportion of documents is texts and the next is seal images indicating the author of the documents. While a lot of research has been conducted to recognize texts in scanned documents and commercialized text recognizing products are developed as highlighted the importance of the scanned document, information about seal images is discarded. In this paper, we study how to extract the seal image area from the color or black and white document containing the seal image and how to save the seal image. We propose a preprocessing step to remove other components except for the candidate outlines of the seal imprint from scanned documents and a method to select the final region of interest from these candidates by using the feature of seal images. Also in case of a seal imprint overlapped with texts, the most similar image among those stored in the database is selected through the template matching process. We verify the implemented system for a various type of documents produced in schools and analyze the results.

• The Korean Journal of Vision Science
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• v.20 no.4
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• pp.393-401
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• 2018

Purpose : This survey aimed to investigate the differences in shape and color preference of eyeglasses and sunglasses between Korean and Chinese consumers. Methods : The questionnaire was conducted on 150 Chinese students studying in Korea and 150 Korean college students. Any student who majors in optometry was excluded. Chinese students were provided with questionnaires that were translated into Simplified Chinese characters, and it was translated by a native Chinese student studying in a master course of a Korean university, on the basis of Korean questionnaire. Results : The Chinese consumer group preferred the global famous brand in sunglasses rather than the glasses, and it was found that they preferred the Korean glasses products relatively. Also, they presented higher preference to half- or rimless frame, gold color, two-tone colored lens, comparing to the Korean consumer group. Conclusion : The results of this study are expected to contribute to Chinese marketing strategy of Korean manufacturing optical shop companies, and to sales strategy of Korean optical shops with Chinese tourists.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.123-129
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• 2021

MZ Generation has multipersona and characteristics that create various egos depending on the situation, and fashion styling is also expressed differently by each persona. Thus, this study investigates how to provide a multipersona or characteristic user experience to fashion shopping applications. Traditional fashion shopping apps, which focus on items, colors, and advertisements, have difficulty solving the problems of MZ generation fashion, so it is necessary to actively utilize their characteristics. We investigate the definitions and characteristics of multipersona and generation MZ, and identify the shopping behavior of generation MZ through prior research. We also analyze cases and improvements that indirectly utilize multipersona in fashion shopping apps. Four UX elements were derived through user interviews to identify needs and It was possible to derive positive effects, such as providing a shopping experience by forming one's own fashion characters in a personalized fashion beyond the existing fashion recommendation frame, which helps to worry about styling and gives a different experience.

• Journal of Fashion Business
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• v.26 no.5
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• pp.36-48
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• 2022

This study aims to analyze the patterns made with knitted jacquard and intarsia techniques to provide essential data to help plan different knitwear designs using the techniques and patterns. Based on approximately 3,000 jacquard and intarsia knitwear published in the four significant womenswear collections over the past decade, eight main pattern types were classified, and each characteristic was analyzed. Firstly, it is a logo and symbol type pattern that appears mainly as a means of emphasizing a brand. Secondly, it is a traditional pattern with settled patterns from the past to the present. Third, it is a geometric pattern that appears both typically and atypically in various forms. Fourth, an abstract pattern type does not show a precise form or motif. Fifth, it is a colorful and diverse flower and plant pattern. Sixth, it is a landscape pattern that expresses nature and living space. Seventhly, it is an animal pattern type that expresses the appearance of an animal or the shape of the. Finally, it is a caricature pattern type using characters and various cartoonish motifs. Based on the analysis results of this study, creative and diverse design development of Jacquard and Intarsia knitwear and development of the knitwear market will take place.

• The Research Journal of the Costume Culture
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• v.30 no.4
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• pp.594-607
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• 2022

This study is a follow-up paper on "Development of flipped learning class model for nail beauty education" published by Seol (2022). This model was conducted from March to June 2022 for 70 students taking the "Nail color design 1" course. After 15 weeks of class, a survey of the students' perceptions of flipped learning and their self-evaluation of goal achievement was conducted, which was composed of questionnaires using a 5-step Likert scale. 15 questions were designed to evaluate the students' satisfaction with their experience and class operations; 4 questions to evaluate whether the class goal had been reached through flipped learning; and 9 questions to evaluate the students' perceptions of flipped learning. As a result of applying this model to theoretical and practical nail beauty classes, it was confirmed that flipped learning helped students better understand the content and had a positive effect on learning, while the subject's educational goals were also achieved. By evaluating the students' perceptions of flipped learning, we may conclude that they experienced learning satisfaction and perceived the approach positively. Moreover, they have expressed a desire for additional flipped learning. This study is thus meaningful in confirming the procedure's effectiveness by applying the flipped classroom model to theoretical and practical subjects with a focus on the nail beauty field, and showing how it achieved students' positive perceptions and educational goals.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.373-386
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• 2013

In this research, we specify the image consumers' preferred image quality ranges based on objective image quality evaluation factors and follow a method which measures preference of the natural image scenes. In other words, according to No-Reference, we select dynamic range, color, and contrast as factors of image quality measurements. For collecting sample images, we choose the preferred 200 landscapes which have over 30 recommendations by image consumers on the internet photo gallery. According to the scores of three objective factors of image quality measurements, the final expected score which means the image quality preference is measured and its total score is 100 points. In the main test, the actual image sample shows dynamic range 10 stop, LAB mean value L:54.7, A:2.96, B:-15.84, and RSC contrast 376.9. Total 200 image samples' normal distribution z value represents in dynamic range 0.21, LAB mean value L:0.15, A:0.38, B:0.13, and RSC contrast 0.08. In the standard normal distribution table, we can convert the z value as a percentage; dynamic range is 8.32%, LAB mean value is L:5.96%, A:14.8%, B:5.17%, and RSC contrast is 3.19%. And then, we convert the percentage values into the scores of 100; dynamic range is 91.68, LAB mean value is 91.36, and RSC contrast is 96.81. Therefore, we can conclude that the sample image's total mean score is 94.99 based on three objective image quality factors. Throughout our proposed image quality assessment model, we can measure the preference value of natural scenes. Also, we can specify the preferred image quality representation ranges and measure the expected image quality preference.

• Journal of Korean Society of Transportation
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• v.22 no.4 s.75
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• pp.97-106
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• 2004

It is a Known fact that driving through long tunnel increases possibility of traffic accident because of psychological feeling of insecurity and dispersion of drivers' concentration since driving in narrow and limited space for a longtime. It, therefore, results in raising transportation and environment problems, such as traffic accident difficult to be properly dealt with and ventilation. This study aims at proposing a method of augmenting driving amenity by improving the internal lighting facilities in the tunnel. The study is conducted by investigating internal landscapes of tunnels by lighting colors, which are currently being operated. The Color Planning System (CPS), developed by SHARP Co. Ltd, is exploited for selecting adjective that express the sensitivity image on lighting colors. The CPS is an example that applies to sensitivity of human body for products design development. The CPS takes the following process to define the color : 1) expressing "Pvoduct's Image" as "A Word (adjective)" and 2) referring "A Word" to "Image Scale", and 3) determining the color through this "Image Panel". The study is processed by making a questionnaire using the semantic differential (SD) scale, grasping the consciousness structure of experimental persons through the Factor Analysis, and building a model in which dependent variable is "Degree of Preference" about internal landscape in tunnel using LISREL(LInear Structural RELations).