• Fashion & Textile Research Journal
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• v.17 no.2
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• pp.157-167
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• 2015

This study was initiated to understand design and detail characteristics of coats that targeted new senior women by analyzing shape, color, fabric and detail. For the new senior, youthful appearance has more appeal than products that represent elder's style. Among, the coat can be effectively utilized as a trendy fashion item that targets seniors since it is more useful to hide figures than pants, blouses or jackets. The objectives of this research were to: First, examine design characteristics of new senior women's coat. Second, understand design characteristics of new senior women's coat. Third, analyze the relationship between the design of collars and details according to type of new senior women's coat. Photographs collected were categorized according to type of coat. Three types of coat (balmacaan, redingote and trench) were chosen to analyze with the highest frequency. The results of analyzing shape, length, color and fabric of the products made in domestic and foreign brands were similar; however, the collar and way of fastening showed significant results that required specific analysis since the design elements were related to maincoat characteristics in protecting against the cold. The depth of the V-zone can change without change of collar width and design changes in V-zone that influence the coat image that lead to changes in sleeve type and length (or fastening and closing position) method.

• Journal of Korea Multimedia Society
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• v.24 no.10
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• pp.1449-1460
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• 2021

The visual design elements of packaging play an vital role in attracting consumers' attention, forming their sense of pleasure and sensory expectations, as well as having an important impact on the actual product experience. This study aims to explore whether the colors and textures in the packaging design elements of canned beer will affect consumers' senses, judgments and taste perception of canned beer. Participants in Survey I (N=193) evaluated their expectations for beer freshness, softness, bitterness and alcohol content by observing the packaging of canned beer, then recorded whether they could get the expected experience when tasting beer, and evaluated their preference and purchase intention. In the Survey II, 4 kind of colors and 2 types of texture shapes were applied, and all participants were provided with the same beer for multivariate cross contract analysis to evaluate the specific impact of color and texture of packaging design elements on consumers' taste and the interaction between sensory judgment and taste perception.The results showed that both colors and textures had a significant affect on the sensory expectation (pre-tasting score) of canned beer, but their effects on the sensory score after tasting (actual perception)were inobvious. The analysis of the influence of the interaction between color, texture and shape on taste perception shows that when the expected packaging appearance perception is similar to the actual drinking perception (i.e., straight line and B/G or arc line and Y/R), it is more likely to obtain consumers' favor and higher purchase intention evaluation than the inconsistent canned beer packaging (i.e., straight line and Y/R and arc line and B/G). This paper discusses the influence of these results on the packaging design of canned beer and the possibility of improving the brand efficiency by meeting the visual elements of packaging design expected by consumers.

• Proceedings of the KIEE Conference
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• 1999.07d
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• pp.1750-1752
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• 1999

An active-matrix liquid crystal display (LCD) using thin film transistors (TFTs) has been widely recognized as having potential for high-quality color flat-panel displays. Pixel-Design Array Simulation Tool (PDAST) was used to profoundly understand the gate signal distortion and pixel charging capability, which are the most critical limiting factors for high-quality TFT-LCDs. Since PDAST can simulate the sate, data and pixel voltages of a certain pixel on TFT array at any time and at any location on an array, the effect of the new set of capacitance models on the pixel operations can be effectively analyzed. The set of models which is adopted from VLSI interconnections calculate more precise capacitance. The information obtained from this study could be utilized to design the larger area and finer image quality panel.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1079-1082
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• 2005

This paper deals with the algorithm development that inspects defects such as Lens Focus, Focus check, Black Defect, Dark Defect, Dim Defect, Color Defect, and Line Defect, Angle Defect, IrisAgc Defect caused by the process of 2M Class Compact Camera Module (CCM). Domestic market was majorly comprised of VGA(0.3 million pixel) market. But in the middle of year 2004, camera phone with Mega Pixel has appeared, and it is estimated that the camera phone with Mega Pixel will take up to 28% of total phone sales if it is released in the end of year 2004. Since the inspection of finished products is done manually, it is major obstacle in production increment In this paper, to solve these problems, we developed the imaging processing algorithm to inspect the defects in captured image of assembled CCM. The performances of the developed inspection system and we can recognize various types of defect of CCM modules with good accuracy and high speed

• Journal of Korea Multimedia Society
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• v.21 no.10
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• pp.1150-1161
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• 2018

Classification is widely used in medical images to categorize patients and non-patients. However, conventional classification requires a complex procedure, including some rigid steps such as pre-processing, segmentation, feature extraction, detection, and classification. In this paper, we propose a novel convolutional neural network (CNN), called LeukemiaNet, to specifically classify two different types of leukemia, including acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML), and non-cancerous patients. To extend the limited dataset, a PCA color augmentation process is utilized before images are input into the LeukemiaNet. This augmentation method enhances the accuracy of our proposed CNN architecture from 96.9% to 97.2% for distinguishing ALL, AML, and normal cell images.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.9
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• pp.1015-1027
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• 2011

This study analyzes consumer-based apparel design elements and evaluation criteria using qualitative research methodology. Apparel design is one of the most important factors to determine consumer consumption and attitude; however, limited studies have examined them. This study provides essential cues for an apparel industry suffering from dramatically fluid market situations. Based on a qualitative analysis of the focus group interviews, researchers establish three categories (basic elements, elements generated by apparel, and elements experienced by consumer) of apparel design elements that are consistent with nine elements (shape, materials, color, pattern, detail, subsidiary materials, overall image & style, fit, and overall balance). The results provide 137 types of conceptualized apparel design evaluation criteria. They developed 56 initial themes, 23 evolved themes, 23 sub categories, and 12 kinds of theme categories with abstract conceptualization. This study explicates the critical role that consumer-based apparel design is the competitive advantage within the apparel industry.

• Journal of Fashion Business
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• v.6 no.4
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• pp.99-112
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• 2002

The purpose of this study is to find out various types of stripes pattern and to review its' design expression by analysing stripe pattern and visual effect appeared in western women's fashion after 20th centuries. As regards the visual effect of stripe pattern, on the basis of the stripe pattern's direction laid out, we made an investigation of it by classfying it into verticality, horizontality, slant line and mixture of them according to its' gap and thickness. Here are the 4 features of the stripe pattern appeared in modern fashions. The first, graphic variation based on diverse variation and reconstruction and combination between other motives is being onthe rise as a new expression. The second, colorful stripes of Missoni can be exanpled as the trend of diversification of color. The third, as regards the trend of mismatch in pattern, coordination through mismatch can produce experimental and post-modern image. The fourth, as for the expression of draping effect, we find that stripe pattern can maximaze visual effect through draping by inducing visual stimulus, as well as can express human body in a beautiful manner.

• Journal of information and communication convergence engineering
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• v.20 no.4
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• pp.288-294
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• 2022

The media content market has been growing, as various types of content are being mass-produced owing to the recent proliferation of the Internet and digital media. In addition, platforms that provide personalized services for content consumption are emerging and competing with each other to recommend personalized content. Existing platforms use a method in which a user directly inputs video metadata. Consequently, significant amounts of time and cost are consumed in processing large amounts of data. In this study, keyframes and audio spectra based on the YCbCr color model of a movie trailer were extracted for the automatic generation of metadata. The extracted audio spectra and image keyframes were used as learning data for genre recognition in deep learning. Deep learning was implemented to determine genres among the video metadata, and suggestions for utilization were proposed. A system that can automatically generate metadata established through the results of this study will be helpful for studying recommendation systems for media super-personalization.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.143-155
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• 2017

In the mobile-first era, plenty of mobile apps have been created so that the number of apps owned in a smartphone have been increasing as well. However, users spend most of time with only a few apps and the rest of apps are just kept in their smartphones for future usage. Thus, in order to help users find the apps quickly it is important to study how users arrange apps in a mobile phone screen and find an app. In the literature, we extracted 5 user types to organize mobile apps. We further conducted user survey with 30 subjects and finalized major 3 user types categorized by relatedness(A), aesthetic(B), and external concepts(C). We found that most of subjects took less than 2 minutes when finding frequently-used-apps. However we identified difference in times taken to find a barely-used-apps across three user types; while A type users turns out to be the most effective in finding barely-used-apps, the B type uses tend to be the least effective among three types. For the A type users, an app's name is more important than an icon image because they tend to guess the functionality from the name of the app. The B type users use the color of app icon to find the app in the smartphone. For the C type users who tend to remain the original position of an app when first downloading it in the smartphone, the visibility of an app icon is important to catch users' eyes while they scan a page. The results of this study is expected to be useful for UX designers who improve the usability of app icon usage considering the user types.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.121-135
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• 2014

Object-based classification methods provide a valid alternative to traditional pixel-based methods. This study reports the results of an object-based classification to examine land cover in the demilitarized zones(DMZs) of Inje-gun. We used land cover classes(7 classes for main category and 13 classes for sub-category) selected from the criteria by Korea Ministry of Environment. The average and standard deviation of the spectrum values, and homogeneity of GLCM were chosen to map land cover types in an hierarchical approach using the nearest neighborhood method. We then identified the distributional characteristics of land cover by considering 3 topographic characteristics (altitude, slope gradient, distance from the Southern Limited Line(SLL)) within the DMZs. The results showed that scale 72, shape 0.2, color 0.8, compactness 0.5 and smoothness 0.5 were the optimum weight values while scale, shape and color were most influenced parameters in image segmentation. The forests (92%) were main land cover type in the DMZs; the grassland(5%), the urban area (2%) and the forests (broadleaf forest: 44%, mixed forest: 42%, coniferous forest: 6%) also occupied mostly in land cover classes for sub-category. The results also showed that facilities and roads had higher density within 2 km from the SLL, while paddy, field and bare land were distributed largely outside 6 km from the SLL. In addition, there was apparent distinction in land cover by topographic characteristics. The forest had higher density at above altitude 600m and above slope gradient $30^{\circ}$ while agriculture, bare land and grass land were distributed mainly at below altitude 600m and below slope gradient $30^{\circ}$.