• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.187-194
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• 2013

Being in era of the digital economy, the impact of IT on our economy more and more increased. Along with this effect, IT becomes origin of predominance of competition in every category of industry. Regarding new trends in industry, companies have to mutate their IT skill set. Every industry has their color and environment of IT and uncertainty is different. For a company, it is most important to plan own strategy with strategy view on industrial environment. The idea of this study is to find the difference of Skill Requirement in every category of industry by find what are the most important jobs and skills of IT in every industry. We set skills by categorized curriculum of specialized IT education center, then with IT specialist, checked and retouched the results and surveyed with IT people in every industry on skill set and job of IT. The result of this study can gives the idea to who design curriculum and build educational contents that would fulfill the need of field. Also, this study would be meaningful that it opens the field of study of skill requirement in Korea.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.11
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• pp.1415-1425
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• 2004

The purpose of this study was to analyze a theoretical frame of expressional area, the characteristics and the effects which is applied to fashion illustration by metonymic theory. The theoretical frame of expressional area was analyzed by category analysis and 150 fashion illustrations from 1900 to 1999 were analyzed by contents analysis. The results of this study were as follows: The expressions of metonymy were categorized by close-up, realistic expression, omission, borrowing of past style, simplification and deconstruction. First, close-up was presented as emphasis of small part of fashion by cutting the scenes, snapshot, emphasis, etc. Second, realistic expression was presented as description of related circumstance with fashion message through perspective and realistic description of circumstance related to figures. Third, omission was presented as seeking of essential core by removing color, pattern, texture or by omitting body and as emphasis of communication about dominant fashion message. Fourth, borrowing of past style was presented as reminding us of background of the past. Fifth, simplification was presented as using of form or color to alleviate tension of object and to restore the essential reality. Sixth, deconstruction was presented as fragmenting of image, flattening of body and clothing, weakness of form, and strength of color. In conclusion, metonymy made by experience system of thinking based on the reality, have extended expressional territory in pre-existing fashion illustration. And these ways not only will provide fashion image as illustrator's subjective intention and theoretical system of expression of message, but also will be useful way to strengthen communication for easier interpretation of fashion illustration.

• Journal of the Korean Society of Visualization
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• v.11 no.2
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• pp.18-26
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• 2013

An accurate and reliable performance evaluation technique is indispensable for the development of marine antifouling coatings. The existing standard practice is however, based on the visual observation of biofouling settlement area, which is prone to the subjective judgment of the inspector. In spite of the above mentioned importance, a systematic and objective fouling evaluation technique has not yet been introduced. In this study, a novel quantitative antifouling performance evaluation method for marine antifouling paints is devised based on the image analysis of panel immersion test results. The present image analysis method is to quantify settlement area for each fouling category by distinctive color. The fouling categories are set as unfouled, biofilm, green algae, brown algae, calcareous animal and spongy animal with specific HSL (Hue, Saturation, Lightness) color ranges. In order to assess the effectiveness of the proposed method, static immersion tests for three antifouling coatings were undertaken for two years.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.3
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• pp.55-65
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• 2019

Although crack on concrete exists from its early formation, crack requires attention as it affects stiffness of structure and can lead demolition of structure as it grows. Detecting cracks on concrete is needed to take action prior to performance degradation of structure, and deep learning can be utilized for it. In this study, transfer learning, one of the deep learning techniques, was used to detect the crack, as the amount of crack's image data was limited. Pre-trained Inception-v3 was applied as a base model for the transfer learning. Web scrapping was utilized to fetch images of concrete wall with or without crack from web. In the recognition of crack, image post-process including changing size or removing color were applied. In the visualization of crack, source images divided into 30px, 50px or 100px size were used as input data, and different numbers of input data per category were applied for each case. With the results of visualized crack image, false positive and false negative errors were examined. Highest accuracy for the recognizing crack was achieved when the source images were adjusted into 224px size under gray-scale. In visualization, the result using 50 data per category under 100px interval size showed the smallest error. With regard to the false positive error, the best result was obtained using 400 data per category, and regarding to the false negative error, the case using 50 data per category showed the best result.

• Archives of design research
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• v.20 no.1 s.69
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• pp.79-88
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• 2007

A company's plan to reform its products' image cannot obtain expected results unless a color plan is included in the reformation plan. A color plan is essential since color conveys to customers much information on function, shape, and material quality of the product. In other words, color is the essential dimension or criteria that customers use when evaluating the quality of goods. Despite the importance of a color plan, companies in Korea are still behind in researching and receiving 'color information' compared to those in more advanced countries. Recognizing the importance of products color, many international companies constantly make their efforts to predict trendy colors and preferred styles of customers before they develop products. It is suggested that domestic companies invest more in color infrastructure to be more successful in making products which can catch the customers' eyes and emotion. Different life styles by age, income level, and gender would be only a few of many factors to be investigated to build color plans for a product. In this study, it is attempted to see the color tendency of young generation by gender, and also to analyze empirically the influence of product's color on its image and customers' behavior. The results are analyzed with frequency analysis, cross tabulation analysis, T-test, one-way ANOVA using SPSS Win 12. The results of this study show that color preference, product image and product attitude are influenced by product's color, and color is an important factor for forming additional emotional value together with the product's original functional value. Judging from the findings, it is recommended that a company undertake careful research before developing a product to find out how customers respond differently to products in different colors especially when the product belongs to the product category where color is considered to be a determinant factor in terms of choosing a brand.

• Korea Science and Art Forum
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• v.37 no.3
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• pp.125-134
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• 2019

This study was conducted to organize a program to classify and analyze the characteristics of images for the automation of background music selection in the video content production process. The results and contents of the study are as follows: video characteristics are selected as subject category, emotion, pixel motion speed, color, and character material. Subject categories and feelings were extracted using Microsoft's Azure Video Indexer, Pixel Movement Speed was an Optional flow, Color was an Image Histogram for Image, and character materials was CNN(Convolutional Neural Network). The results of this study are significant in that video analysis was conducted to match background music in the recent content production process of 'Internet One-person Broadcasting Creators'.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.3 s.151
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• pp.470-480
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• 2006

Consumer may perceive needs of certain product information online rather than the number of pieces of information available for decision making. In addition, consumers may seek information that is more relevant to apparel category. Moreover, involved consumers intensify information seeking and seek certain information. The purpose of this study is to identify the perceived importance weight of each information cue when shopping apparel via the Internet, to investigate the differences of the perceived importance weight of product information cues in product category, and to examine the relationship between apparel involvement and the perceived importance weight of product information cues. This study employed a single-factor within-subjects design experiment that simulated online purchase situation for two product types, Jeans and a Shirt. A total of 125 college students participated in this study. Results indicated that selected information such size available, price, style, color description, item measurement, stock available, and item quality (in sequence) can be considered as global cues to judge product quality and influence purchase decision regardless of product category. The significant multivariate effects for product category on the perceived importance weight of product information cues were found. Personalization, fiber content, and fabric structure were product specific information cues. Consumers' product involvement significantly influenced the perception of information weight. Therefore, product information can be personalized based on consumer involvement

• Korean Institute of Interior Design Journal
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• v.23 no.5
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• pp.104-111
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• 2014

This study puts its purpose on presenting an integral system of representative urban landscapes, public design and colors, in practicing urban design in the context of local identity. An integral design of public design that successfully plans and executes local identity, and changes recognition of integral management of urban design, is suggested as followings. Firstly, when the catchment area is divided in metropolitan area, it should be reset according to the natural environment condition regardless of administrative area system like city and county. It is the method to classify the metropolitan area by researching and analyzing geographical condition, weather condition, soil and vegetation in detail and subclassify it by the visual commonness of natural environment. Secondly, it is necessary to access the urban landscape, public design and urban color from the overall aspect emphasizing the plan for each field and local identity. They should be practiced by the role and category of each field on the basis of consistent design strategy and instruction but the cooperation system is required as a process to reinforce and specify the mutual limit. Thirdly, the artificial structure is constructed through artificial adjustment depending on the urban formation process and the development time point. Therefore, it is necessary to pay attention to the rapid urban development, the change speed and the landscape formation of each age. It is necessary to classify the type of artificial landscape by age and form similarity and separate the area that should be generalized and controlled by entire metropolitan area form the area that should be specialized by basic local government.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.219-223
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• 2006

Variable Message Sign(VMS) is one of the most popular travel information system. In this study, the evaluation categories, each category's datum value and evaluation procedure for enhancing the visibility of VMS are studied and the physical evaluation system is developed. The evaluation categories have been developed based on the analysis of previous guidelines used in Korea, Europe and the United States. The evaluation categories include luminance, luminance ratio, beam width, color, and uniformity. The physical evaluation system consists of goniometer, solar simulator, luminance meter, sensor and rack system. As a result of this study, the quantitative and effective evaluation of VMS visibility would become possible.

• Journal of the Korean Society of Food Science and Nutrition
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• v.46 no.6
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• pp.730-738
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• 2017

In this study, we investigated the physicochemical properties of coffee brews according to coffee bean grinding grade. We also examined the effect of grinding grade on amounts of volatile flavor compounds. Coffee brew samples were separated using standard sieves (with pore sizes of 850, 600, and $425{\mu}m$), making particle sizes of ground beans as follows: whole bean (control), $850{\mu}m$ or more (coarse), $850{\sim}600{\mu}m$ (medium), $600{\sim}425{\mu}m$ (fine), and $425{\mu}m$ or less (very fine). For each particle size category, pH, total acidity, brown color intensity, chromaticity, total phenolic content, caffeine content, chlorogenic acid content, and total amounts of volatile flavor compounds generated were compared and analyzed. As grinding grade decreased, pH and brown color intensity increased from 4.84 to 5.18 and from 0.257 to 0.284, respectively, whereas total acidity decreased from 0.31 to 0.17%. As grinding grade decreased, the $L^*$ and $a^*$ color values decreased; however, $L^*$ value did not exhibit a significant difference depending on the grinding grade. The $b^*$ value was 15.75 in the very fine size category, which showed the highest yellowness. There was an 11 or higher color difference between the control and ground coffee powder, indicating a remarkable color difference. The total phenolic, caffeine, and chlorogenic acid contents of the coffee brewed from ground beans with a very fine size were 4.54 mg gallic acid equivalent/mL, $733.0{\mu}g/mL$, and $383.7{\mu}g/mL$, respectively, which were high values. The total amounts of volatile compounds in the very fine size category were found to be greater than 100 mg/kg. In this study, we suggest the basis for coffee quality evaluation, which involves evaluating changes in the physicochemical properties and amounts of flavor compounds of coffee relative to the grinding grade of the beans (basic step of coffee extraction).