• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.599-612
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• 2008

Today, communication trend of financial brand has changed fast with more foreign financial brand's introduction, emerging financial brands through the openness. With the trend of changing, companies are introducing various marketing methods to differentiate its brand image. And color marketing becomes an important tool for the differentiation. However, except a few brands, brand color which expresses management character of a company is different from the customer's preferred color which is based on investors' investment tendency. This may be related to the brand Image which is final goal of communication. Therefore, this study suggests effective communication method between company and customers by analyzing preferred color of customers by their investment tendency and comparison analysis security firms' color marketing strategy. As a result, it was found that Roland Barthes symbolic meaning of colors is different from the symbolic meaning of the groups of investor tendency. For example, I assumed that aggressive investors preferred strong color like red or orange, but the survey result was far from my assumption. I hope this study can be a good foundation for logical and scientific marketing in communication between security companies and customers in more open market with introduction to the Capital Market Consolidation Act.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.780-785
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• 2010

This paper introduces GP(Genetic Programming) based color detection model for an object detection and tracking. Existing color detection methods have used linear/nonlinear transformatin of RGB color-model and improved color model for illumination variation by optimization or learning techniques. However, most of cases have difficulties to classify various of colors because of interference of among color channels and are not robust for illumination variation. To solve these problems, we propose illumination robust and non-parametric multi-colors detection model using evolution of GP. The proposed method is compared to the existing color-models for various colors and images with different lighting conditions.

• Journal of the Korean Applied Science and Technology
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• v.40 no.6
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• pp.1225-1237
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• 2023

The purpose of this study is to find out the effect of office workers' motivation to choose clothing and makeup colors on appearance satisfaction and self-esteem. The subjects of this study were working women working in Chungcheong-do for two weeks from July 15, 2023 to July 29, 2023, and 696 sampled copies were used for the final analysis. Frequency analysis, factor analysis, reliability analysis, (one-way)ANOVA, and post-verification (Scheffe's) were handled using the SPSS 26.0 program, and office workers' clothing. Correlation analysis, simple regression, and multiple regression were performed to find out the correlation between makeup color selection motivation, and the statistical significance level was p<.I set it to 05. Through this research procedure, the following conclusions were drawn. First, it was found that the motivation of office workers to choose clothes color had a positive (+) effect on appearance satisfaction. Second, office workers' motivation for choosing makeup colors was found to have a positive (+) effect on appearance satisfaction, and physical attractiveness was found to have a positive (+) effect on situational factors. Third, it was found that the color choice of clothes of office workers had a positive (+) effect on self-esteem. Fourth, It was found that the motivation of office workers to choose makeup colors had a positive (+) effect on self-esteem.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.154-162
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• 2012

We can expect an effective color marketing to build up a positive industrial image as it is easy for consumer to approach due to the ability of colors to affect human consciousness and sub-consciousness more than any other factor. The purpose of this research is to draw attention to the importance of color communication and to find strategies to elevate the brand image by surveying the degree of influence color communication has when forming a brand image. In order to conduct effective research, we executed theoretical and collaborative analysis through research materials and documents. If you take a look at the outcome of this research, brands that brings credibility and likability to its customers are not brands that uses color communication, but brands that utilize marketing strategies that build up credibility for quite some time. Also, preference over colors are distinctive. It turned out to be that the color of a brand logo that one likes has very little to do with one's favorite color. When people choose a brand, they are choosing the brand not because of the color of the brand logo, but its credibility and likability that the brand offers. It proves that the color of the brand logo has nothing to do with the colors that people prefer. The relationship between the color that consumers prefer and the image and emotional color that forms brand image is negligible. However, since research shows that there was a relationship between the color you prefer and the emotional color that forms brand images, it seems to be important to figure out what color customers prefer rather than the color that shows customers' self image. Unlike existing color communication research, through this research, we would like to know how to utilize the color communication strategically in the forming of brand images and take a look at the relationship between customers' preferences and the image of each brand logo's emotional color.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.256-265
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• 2021

The purpose of this study is to empirically identify the effect of women's motivation for choosing makeup colors on their perception of physical attractiveness and self-respect. Participants in this study were surveyed through questionnaires for 256 employees in Seoul and Gyeonggi-do, and the collected data were analyzed in depth using statistical analysis methods of frequency analysis, factor analysis, and multiple regression analysis. The results derived through a series of research procedures are as follows: First, the motivation for women in the workplace to choose makeup colors showed a statistically significant influence on physical attraction perception. Second, the motivation for women in the workplace to choose makeup colors showed a statistically significant influence on self-esteem. Third, office workers' perceptions of physical attraction had a statistically significant impact on self-esteem.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.237-237
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• 2012

토파즈는 Al2SiO4 ((F,OH)2) 화학성분을 이루고 있는 광물로써 주로 Fe, Cr, V 등과 같은 불순물을 포함하고 있다. 토파즈는 colorless, blue, pink, yellow 등 다양한 컬러로 산출된다. 결정 내 Si4+ 가 있어야 할 자리에 Al3+ 가 치환되면 Al3+ 를 둘러싸고 있는 4개의 산소 중 하나의 최외각 전자가 전자가를 맞추기 위해 주변에 있던 수소와 결합하여 hole center를 형성한다. 이때 토파즈는 옅은 황색의 컬러를 발색하게 된다. 그 외 청색과 핑크색 등의 컬러는 Al3+ 자리에 치환된 Fe, Cr 등과 같은 불순물에 의해 발색을 일으킨다. 또한 토파즈는 인위적으로 감마선, 전자 빔, 양성자 빔, 중성자 빔을 통해서도 hole center를 형성시켜 컬러를 발색시킬 수 있다고 잘 알려져 있다. 본 연구에서는 총 8개의 무색 토파즈를 이용하여 다양한 조건(energy 및 dose)의 전자 빔 조사를 통해 각 조건 별 컬러변화 및 분광학적 특성변화를 관찰하였다. 모든 시료는 WD-XRF를 통해 정성분석을 하였고, 전자스핀공명(ESR)기기를 통해 전자 빔 조사 전과 후 전자의 스핀 특성 변화를 관찰하였다. 자외선-가시광선 분광분석결과 모든 시료는 전자빔 조사 후 황색과 관련이 있는 450 nm 부근의 파장 영역에서 흡수 peak가 증가하는 것을 확인할 수 있었다. 또한 전자 빔 조사 후 전자스핀공명 분석 결과에서도 Fe3+ 와 관련이 있는 g=3.5~4 영역은 감소하는 반면에 hole center와 관련이 있는 g=2.012 영역이 증가하는 향상을 보였다. 본 연구결과를 통해 우리는 전자 빔 조사 조건에 따라 토파즈의 결정 내부에 미치는 영향 및 컬러 변화와의 상관관계에 대해 확인할 수 있었다.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.639-646
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• 2012

To analyzed the shape of Yellow Dots which appeared on the paper printed HP color laser printer, and analyzed the characteristic of Yellow Dots according to time, month, year and same printers. As a result, documents that printed in same printers had an identical Yellow Dots's shapes according to time, month, year. It was presupposed that was not embedded time and date information in HP Color LaserJet printers against Xerox, and printers which have different serial number had similar shapes but it was not identical Yellow Dots. Finally, it was found to be identical patterns in Yellow Dots of HP Color LaserJet printers used analysis. Depending on the results, it could understand HP's pattern. In the future, it will decipher patterns of Yellow Dots which have other informations to include other printer manufacturer.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1641-1648
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• 2017

The main purpose of this paper is to compare the performances of various filters with color images to remove the noise. Furthermore, we suggest a modified de-noising process by the transformation of color model from RGB to another color models, such as HSV and $YC_BC_R$, to improve the quality of de-noising methods encompassing Median, Wiener, and Mean filters. Neither the performance comparison of the de-noising filters with color images nor the converting the color model for better de-noise on the degraded images haven't been performed before. Inspired to make improvements, we conduct experiments with new de-noising process on color images. The result of the experiments is shown that it could assist on certain filters being more reliable techniques.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.903-906
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• 2001

본 논문에서는 조명의 변화에 의해 컬러 영상의 컬러 성분이 달라지더라도 영상 내 컬러간의 편차값을 나타내는 공분산 행렬(covariance matrix)의 고유벡터(eigenvector)와 영상 내 화소들의 컬러 성분과의 상관관계는 거의 변화하지 않는 특징을 이용한 조명 변화에 강인한 영상 검색 방법을 제안한다. 제안된 방법은 영상에서 컬러 성분들의 공분산 행렬과 공분산 행렬의 고유치(eigenvalue), 고유벡터를 계산한 후, 가장 큰 고유치에 관계된 고유벡터로 화소를 투영시키고, 투영된 벡터의 크기 성분으로 영상을 재구성한다. 재구성된 영상으로부터 7개의 불변 모멘트(moment)를 계산하고, 공분산의 가장 큰 고유치를 가중치로 부과하여 특징벡터를 추출한다. 7개의 불변 모멘트로부터 구한 특징벡터는 영상 내 물체의 이동, 영상의 회전, 크기 변화뿐만 아니라, 조명의 변화에 의해 컬러가 변화할 경우에도 유사한 영상을 잘 검색한다. 제안된 방법의 성능 확인을 위하여 5가지 조명에서 얻은 영상 데이터베이스를 이용하여 실험하였으며, 실험 결과 히스토그램 인터섹션에 비해 적은 특징량으로 검색이 가능하면서 조명 변화에도 대응할 수 있는 검색 결과를 얻을 수 있었다.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.19-23
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• 2006

본 연구는 컬러항공사진을 이용하여 컬러영상, 그레이영상 그리고 각 밴드별(RGB) 수치고도모형(DEM)을 생성하여 정확도를 평가하기 위한 것이다. 항공 영상지도의 경우 불과 4-5년 전까지만 해도 흑백항공사진 필름을 이용해 왔으나 최근 들어 판독을 더욱 용이하게 하기 위하여 컬러항공사진을 많이 이용하고 있다. 품질이 높은 정사영상제작을 위해서는 정확한 수치고도모형이 필요하다. 수치고도모형을 생성하기 위한 대표적인 방법으로 수치지도를 이용하는 방법과 영상정합기법을 이용하여 수치고도모형을 생성할 수 있다. 영상정합기법에 의한 수치고도모형 생성 방법은 흑백항공사진에서와는 달리 컬러항공사진은 항공사진 전용 스캐너에서 3개의 밴드(RGB)로 스캔된 영상을 사용한다. 본 연구에서는 수치고도모형의 정확도를 분석하기 위하여 모두 5가지 영상(컬러영상, 그레이영상, Red 영상, Green 영상, Blue 영상)을 획득하였으며 각 밴드별 수치고도모형을 생성하여 수치지도에서 추출된 표고점 자료와의 평균제곱근오차(RMSE) 값을 비교하였다. 본 연구에서는 Red 영상을 이용하는 경우 가장 정확한 수치고도모형을 얻을 수 있었음을 실험을 통해 검증하였다.