• 한국의류산업학회지
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• 제17권2호
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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.

• 한국멀티미디어학회논문지
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• 제24권10호
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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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 D
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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.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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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

• 한국멀티미디어학회논문지
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• 제21권10호
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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.

• 한국의류학회지
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• 제35권9호
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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.

• 패션비즈니스
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• 제6권4호
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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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• 제20권4호
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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.

• 한국콘텐츠학회논문지
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• 제17권11호
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• pp.143-155
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• 2017

모바일 우선주의 시대에 수많은 모바일 앱이 쏟아지면서 사용자들이 보유하는 앱의 숫자도 증가하게 되었다. 그러나 실제로 자주 사용하는 앱의 숫자는 적고 많은 앱들이 언젠가 사용되기 위해 보관되고 있다. 이런 앱들을 사용자가 필요한 순간에 스마트폰에서 빠르게 찾도록 하기 위해서는 사용자들이 앱아이콘을 어떻게 관리하고 어떻게 탐색하는지에 대한 연구가 필요가 있다. 본 연구는 문헌연구에서 앱아이콘 정리, 앱아이콘 인지 및 디자인의 변화에 대해서 고찰하고 5가지 정리 유형(사용빈도, 유사성, 사용성, 심미성, 외부영향)을 추출하였다. 이를 토대로 30명의 아이폰 사용자들의 모바일 화면을 관찰 분석하여 유사성, 심미성, 외부의 영향을 3가지 주요 유형으로 확정하여 사용자 유형을 나누고, 각 사용자마다 자신의 폰에서 앱아이콘을 찾는 실험을 진행하여 사용자 유형별 아이콘 탐색 시간의 차이를 검증하였다. 자주 사용하는 앱의 경우는 대부분의 피험자들이 2초 이하로 빨리 찾았지만 자주 사용하지 않는 앱의 경우에는 유사성을 중심으로 정리하는 사용자가 평균 6초로 가장 빨리 찾았고 심미성을 고려해서 정리한 사용자가 평균 19초로 가장 오래 걸렸다. 또한, 사용자 유형별 인터뷰 결과 유사성 중심으로 정리하는 사용자에게는 앱아이콘 보다는 앱 이름의 기능 유추 여부가 중요하며, 심미성을 고려하여 정리하는 사용자에게는 앱아이콘의 칼라가 중요하고, 폴더 사용 없이 폰에서 제공하는 순서대로 앱을 배치하는 사용자들에게는 수많은 앱 아이콘들 사이에서 빠르게 시선을 잡아줄 수 있는 앱아이콘의 가시성이 중요함을 알 수 있었다. 본 연구의 결과는 사용자들의 성향을 고려하면서 앱 아이콘의 사용성을 높이기 위한 디자인을 하는데 기초자료로 활용될 수 있을 것으로 기대된다.

• 한국지리정보학회지
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• 제17권2호
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• pp.121-135
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• 2014

최근 픽셀기반분류보다 더 많은 정보를 이용할 수 있는 객체기반에 대한 연구가 활발히 진행 중이다. 따라서, 본 연구는 인제군 Demilitarized Zone(DMZ)지역 일원을 대상으로 객체기반 분류기법을 이용한 토지피복분류를 실시하였다. 분류항목은 환경부 기준의 대분류 항목 7개, 중분류 항목 13개로 선정하였고, 사용된 인자는 분광 값의 평균과 표준편차, Grey Level Co-occurrence Matrix(GLCM)의 Homogeneity를 사용하여 감독분류방법 중 최근린기법을 이용하여 계층적 토지피복도를 구축하였다. 구축된 토지피복도를 이용하여 남방한계선으로부터의 거리와 Digital elevation model(DEM)을 통해 지형특성에 따른 분류항목 별 분포 특성을 분석하였다. 객체기반 분류를 위한 최적 가중치는 Scale 72, Shape 0.2. Color 0.8, Compactness 0.5, Smoothness 0.5로 선정하였고, 가중치 선정과정에서 Scale, Shape, Color가 가장 많은 영향을 주었다. 대분류 토지피복분류는 산림, 초지, 시가지의 순으로 각각 약 92%, 약 5%, 약 2%였으며, 중분류 토지피복분류는 활엽수림, 혼효림, 침엽수림의 순으로 각각 약 44%, 약 42%, 약 6% 순으로 분포하였다. 토지피복형태에 따른 분포특성을 보면, 남방한계선으로부터 2km이내의 지역에서 공공시설 지역과 도로의 이용이 높았으며, 남방한계선 6km이상의 지역에서는 논과 밭, 나지의 형태가 많았다. 산림은 표고 600m, 경사 $30^{\circ}$이상의 지역에서는 면적분포가 높았고, 농업지역과 나지, 초지는 표고 600m, 경사 $30^{\circ}$이하의 지역에서 면적분포가 높았다.