• Korean Journal of Cognitive Science
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• v.22 no.3
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• pp.235-254
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• 2011

Two experiments were conducted to investigate the impact of binocular disparity information on Neon color spreading (NCS). The stimuli was the modification of Ehrenstein figure used by Redies and Spillmann(1981); inner and outer segments were achromatic and middle segments was chromatic. In experiment 1, the effect of binocular disparity was tested in each segment that were divided inner, middle and outer segments. In experiment 2, the impact of added segments that were put in different depth place were tested. The results showed that the segments on same place were, the clearer the NCS was. Consistent with the previous studies, the effect of color segment in front or in behind was not appeared. The case of added segments, regardless of added segments were placed either front or behind, the NCS was reduced. But the effect of added outer segments was more affect then added inner segments. This results were suggested that NCS could be affected by depth information but more affected by stage of before depth processing.

• Korean Journal of Cognitive Science
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• v.28 no.1
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• pp.27-42
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• 2017

Stroop effect(Stroop, 1935) is a reliable paradigm which has been used in various psychological research. Although classic Stroop experiment used color and color name for experimental stimuli, subsequent research reported that a color(e.g. green) and an object(e.g. grass) which displays a typical color show similar effects depending on color-object congruency(Klein, 1964). Because past research that used Stroop effect to investigate semantic representation tested association between concrete object and color, they predominantly used concrete nouns and their corresponding color names as stimuli(e.g. Dalrymple-Alford, 1968, 1972; Klein, 1964). Recently, Sherman and Clore(2009) reported that response time to white or black words is affected by moral value of words (e.g., honesty, crime) even when the words do not have specific referents. Based on this result, we tested association between thermesthesia-related adjectives(e.g., 따스한, 냉정한) and color(warm color, cold color) using Stroop task. The results showed that subjects were faster in their response to color when adjective-color was congruent than when incongruent, and there was an interaction between color and meaning of adjectives. The Stroop effect in this research is unique because, contrary to previous research that used concrete nouns, the effect was obtained even with abstract adjectives which do not have specific referents. In addition, unlike Sherman and Clore(2009) that used achromatic color, our results show that Stroop effect obtains between abstract adjectives and chromatic color.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.8
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• pp.1235-1240
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• 2013

We investigate an approximate analytic expression of signal distortion caused by the interaction between self-phase modulation (SPM) and dispersion in the dispersion-managed optical transmission where the dispersion is optimally compensated. From the analytic study, we obtain the analytic expression of the signal distortion in dispersion-managed optical transmission system. To confirm the validity of the analytic expression, we show that the eye-opening penalties calculated by the analytic expression correspond with the simulation results. Using the analytic result, we can easily estimate the signal distortion without complex nonlinear simulations.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.05a
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• pp.194-201
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• 2005

도시에서의 빛의 연출은 도시의 축을 부각시키고, 가로의 아이덴티티를 연출함으로서 도시의 인지도를 향상시킬 수 있다. 또한 야간의 경관은 인공조명을 이용한 빛의 연출로 주간과는 다른 빛환경 경관을 연출할 수 있다. 이에 본 연구는 도시 가로 중에서 상업가로와 주거가로를 대상으로 주 야간의 빛환경 특성을 분석하여, 가로의 용도에 따른 주야간의 빛환경 차이를 고찰하였다. 이를 위하여 두 가로의 일정길이에 대하여 수평면조도, 스칼라 조도, 휘도 및 색온도를 측정하였으며 측정결과를 용도별, 주 야별로 비교하여 분석하였다. 측정한 결과를 정리하면 다음과 같다. (1)수평면조도의 측정 결과, 주간의 주거가로에 비하여 상업가로가 28.8[%] 높게 나타났으며 야간의 경우 87.2[%] 높게 나타났다. (2) 스칼라조도의 측정결과, 스칼라조도의 특성상 전반적으로 균일한 분포를 보이며, 수평면 조도와 마찬가지로 주간에 비하여 야간에 84[%] 높은 값이 측정되었다. (3) 휘도의 측정 결과, 주간 배경에 대한 대상의 휘도비는 상업과 주거가로가 1:2이하로 나타나 조화로운 가로경관을 연출하며, 야간배경에 대한 대상의 휘도비는 상업가로는 1:17로 활기 있는 경관을 연출하고 주거가로는 1:5로 가로경관 이미지에 적당한 강조효과가 나타났다. (4) 색온도의 측정 결과, 주간의 배경은 맑은 하늘의 색온도를 나타냈으며 대상은 상쾌하고 활동적인 이미지의 색온도를 나타내었다. 또한 야간의 경우 상업가로와 주거가로 모두 나트륨 등의 영향을 받아 전반적으로 따뜻한 느낌의 색온도가 연출되었다.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.361-366
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• 2007

InterfaceDesign 에 있어 Layout, Icon 및 배색 등의 대한 지침은 충분하게 연구되어왔지만, Design 시 고려 해야하는 색의 근본적인 문제에 대한 연구가 미비하다. 이러한 인식에 대한 부족은 Design 이 최종 Output Device 환경에서 원하지 않는 색으로 변질되어 display 되거나, 디자이너가 여러 지역 환경에서 적합하지 않는 색을 사용하는 결과 들를 초래하게 된다. 본 논문에서는 디자이너가 색을 선택할 시의 고려사항들을 지역적, device 별로 나누어 제안하고 분석한다. 그 외에도 인간의 시각구조를 관찰하여 피해야 하는 색의 선택과 지향하는 색들을 제시한다. 지역별로는 크게 구주, 미주, 아주(중국, 일본) 지역으로 나누어 분석한다. 각 지역 TV 환경의 Color Temperature 을 통해 display 색의 특성들을 분석하였고, Screen Palette 를 통해 색의 인지도 등을 파악하여 지역별로 특성화된 Color range 를 제안한다. Device 별로는 display 기기와 set 기기의 색에 대한 특성들을 분석하여 각 환경에 최적의 색을 선택할 수 있는 지표를 제시한다. 그리고 인간 시각 시스템을 통해 각 색에 대한 눈의 민감도, Design 하려는 Contents 에 색의 특성 그리고 마지막으로 색맹들을 고려한 색의 특성들을 살펴보면서 전체적으로 고려해야 할 사항들을 제시한다. 위의 고려사항들은 디자이너가 좀더 객관적으로 환경에 최적화된 색을 선택하게 해주며 최종 Output 기기의 색의 특성을 알게 함으로써 최종 이미지에 대해 예상을 하고 문제점을 파악할 수 있는 계기를 제공한다. 이는 디자이너에게 최종 결과물이 만족스러운 결과가 나올 수 있게 도와주게 되며 더불어 사용자에게 감성적인 부분을 호소할 수 있는 효과적인 Design을 가능케 한다.

• Trans-
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• v.12
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• pp.51-79
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• 2022

This study investigates the methods for deriving colors which can serve as a reference to users such as designers and or contents creators who search for online images from the web portal sites using specific words for color planning and more. Two experiments were conducted in order to accomplish this. Digital scenery photos within the geographic scope of Korea were downloaded from web portal sites, and those photos were studied to find out what colors were used to describe daytime and nighttime. Machine learning was used as the study methodology to classify colors in daytime and nighttime, and KSCA was used to derive the color frequency of daytime and nighttime photos and to compare and analyze the two results. The results of classifying the colors of daytime and nighttime photos using machine learning show that, when classifying the colors by 51~100%, the area of daytime colors was approximately 2.45 times greater than that of nighttime colors. The colors of the daytime class were distributed by brightness with white as its center, while that of the nighttime class was distributed with black as its center. Colors that accounted for over 70% of the daytime class were 647, those over 70% of the nighttime class were 252, and the rest (31-69%) were 101. The number of colors in the middle area was low, while other colors were classified relatively clearly into day and night. The resulting color distributions in the daytime and nighttime classes were able to provide the borderline color values of the two classes that are classified by brightness. As a result of analyzing the frequency of digital photos using KSCA, colors around yellow were expressed in generally bright daytime photos, while colors around blue value were expressed in dark night photos. For frequency of daytime photos, colors on the upper 40% had low chroma, almost being achromatic. Also, colors that are close to white and black showed the highest frequency, indicating a large difference in brightness. Meanwhile, for colors with frequency from top 5 to 10, yellow green was expressed darkly, and navy blue was expressed brightly, partially composing a complex harmony. When examining the color band, various colors, brightness, and chroma including light blue, achromatic colors, and warm colors were shown, failing to compose a generally harmonious arrangement of colors. For the frequency of nighttime photos, colors in approximately the upper 50% are dark colors with a brightness value of 2 (Munsell signal). In comparison, the brightness of middle frequency (50-80%) is relatively higher (brightness values of 3-4), and the brightness difference of various colors was large in the lower 20%. Colors that are not cool colors could be found intermittently in the lower 8% of frequency. When examining the color band, there was a general harmonious arrangement of colors centered on navy blue. As the results of conducting the experiment using two methods in this study, machine learning could classify colors into two or more classes, and could evaluate how close an image was with certain colors to a certain class. This method cannot be used if an image cannot be classified into a certain class. The result of such color distribution would serve as a reference when determining how close a certain color is to one of the two classes when the color is used as a dominant color in the base or background color of a certain design. Also, when dividing the analyzed images into several classes, even colors that have not been used in the analyzed image can be determined to find out how close they are to a certain class according to the color distribution properties of each class. Nevertheless, the results cannot be used to find out whether a specific color was used in the class and by how much it was used. To investigate such an issue, frequency analysis was conducted using KSCA. The color frequency could be measured within the range of images used in the experiment. The resulting values of color distribution and frequency from this study would serve as references for color planning of digital design regarding natural scenery in the geographic scope of Korea. Also, the two experiments are meaningful attempts for searching the methods for deriving colors that can be a useful reference among numerous images for content creator users of the relevant field.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2015.11a
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• pp.339-339
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• 2015

타이타늄을 2단계로 양극산화하여 색을 유지하며 표면에 튜브형태를 갖는 산화막을 제조하였다. 타이타늄을 양극산화 시, 전해질 농도, 양극산화 전압, 시간 등에 따라 다양한 색을 띄게 되는데, 기름기 등의 오염물질로 인한 색 변화, 내 지문성 등의 문제가 유발된다. 이에 타이타늄을 양극산화하여 나노튜브를 성장시킨 후, 기존 산화막 제조와 같은 조건으로 다시 양극산화하였다. 그 결과 기존 barrier 형태의 산화막 색이 구현되면서, 표면의 돌기형태에 따른 접촉각이 변화하게 되었다.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.332-343
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• 2016

With the advance of digital technology, new methods which acquire color information and combine it with various contents are emerging. Color has some effect on emotion while it gives some information as component of an image. In addition, change in emotion and sensation from color stimulus makes some change in cognition. This research investigate the effect of color overlay on cognition depending on emotional state. With this goal, subjects consisting of 10 men and 10 women solved some problems with color overlay of red, orange, and green after watching short video clips which intend to induce target emotion. Experimental results show that red color overlay under positive emotion significantly reduces the average score of solving problems, while green overlay under negative emotion significantly increases it. It is also analyzed that there is not statistically significant difference in cognitive function with color overlay while it is significantly better under positive emotion than negative emotion without color overlay.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.12 no.3
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• pp.1-6
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• 1998

The purpose of this study was to investigate the scope of color perception for Japan standard color. In addition to, we compared the difference in the color perception between the Korean and the Japanese undergraduates. 140 male and 119 female Japanese undergraduates were selected as the random sample. Color perception was made with the naked eyes. Minolta Chroma Metre CR 300 was used for physical measurement of the color. The results were as follows, 1) Japanese students' perceived color perception was classified into four large groups: simple group includes Red, Yellow, Blue, White, Gray and Black, X(-axis)group includes Green, Red Purple, Y(-axis)group includes Green, complex group includes Blue Green, Purple, Purple Blue, Red Purple. 2) There is difference between Korean color perception and Japanese; for Yellow Red, Blue, Blue Green, Red Purple. 3) There is little difference between the values of standard color and mean percept color for Yellow while big difference for Blue. And as for as country was concerned, Korean is more accurate than Japanese in color perception.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.155-162
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• 2006

The medical thesaurus, MeSH (Medical Subject Heading), has been used as a controlled vocabulary thesaurus for English medical paper indexing for a long time. In this paper, we propose an automatic cross language keyword assignment method, which assigns English MeSH index terms to the abstract of a Korean medical paper. We compare the performance with the indexing performance of human indexers and the authors. The procedure of index term assignment is that first extracting Korean MeSH terms from text, changing these terms into the corresponding English MeSH terms, and calculating the importance of the terms to find the highest rank terms as the keywords. For the process, an effective method to solve spacing variants problem is proposed. Experiment showed that the method solved the spacing variant problem and reduced the thesaurus space by about 42%. And the experiment also showed that the performance of automatic keyword assignment is much less than that of human indexers but is as good as that of authors.