• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.1
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• pp.34-44
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• 2004

The purpose of this study was to provide effective design strategy and distinguish productions for the consumer's emotion satisfaction by analyzing formative properties of fashion sensibility and emotion. 54 photos of contemporary costume have been selected which represented the Izard' DES. The questionnaire consisted of bi-polar 25 pairs adjective scale of fashion sensibility and the 18 noun scale of emotion was distributed to 970 male and female living in Pusan area. The data were analyzed by GLM using the statistic SPSS package. The major findings of this research were as follows. 1. In the clothing formative properties following fashion sensibilities, aestheticism shows significant differences in the silhouette and texture, maturity in the silhouette and color, character in the texture and decoration and feminity in the pattern and color. 2. In the clothing formative properties following emotions, negative emotion shows significant differences in the pattern and silhouette, distressㆍfear in the silhouette and pattern, arousal in the texture and color, shame in the color and texture and enjoyment in the silhouette and pattern. 3. In the fashion sensibility and emotion following clothing formative properties, each formative property shows differences in fashion sensibility and emotion. This study result will be utilized in the clothing design development in special usage like theatrical costume, discriminated display and advertisement stratge.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.1
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• pp.159-164
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• 2015

Color is distinguished due to the light in which natural light is reflected by object and made with combination of RGB(red, green, blue; three colors). This study proposes color analysis system with optical method to be used conveniently. Color information of sample is determined with the optical sensor. By using the CIE diagram in particular, it detects purity value and wavelength. The method to distinguish color is very economical, simple, and convenient. The result can be used to confirm accurate information of color for various applications.

• Journal of Information Processing Systems
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• v.9 no.4
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• pp.621-632
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• 2013

The most important things for a forest fire detection system are the exact extraction of the smoke from image and being able to clearly distinguish the smoke from those with similar qualities, such as clouds and fog. This research presents an intelligent forest fire detection algorithm via image processing by using the Gaussian Mixture model (GMM), which can be applied to detect smoke at the earliest time possible in a forest. GMMs are usually addressed by making the model adaptive so that its parameters can track changing illuminations and by making the model more complex so that it can represent multimodal backgrounds more accurately for smoke plume segmentation in the forest. Also, in this paper, we suggest a way to classify the smoke plumes via a feature extraction using HSL(Hue, Saturation and Lightness or Luminanace) color space analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.618-620
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• 2019

Smart Farm, which combines agriculture and ICT convergence technology, is at a lower stage than other industries in Korea, but it is also one of the most active research and development fields. Smart Farm aims to improve the efficiency of each step by collecting, processing and analyzing various information of agriculture sector through convergence between agriculture and ICT technology. In this study, we studied the image processing method that can distinguish strawberry which can be harvested at harvest time by color for smart farm composition of strawberry which is a horticultural crop. Strawberry harvesting requires a lot of labor in the process of growing strawberries. In this study, we aim to collect information necessary for labor saving in strawberry harvester. As a precedent study, we plan to implement a form in which the color temperature changes according to the light direction and brightness value through OpenCV color detection using Python. In the future, it is planned to study strawberry color value suitable for harvest by applying compensation value to color temperature change.

• The Korea Journal of Herbology
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• v.29 no.6
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• pp.133-140
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• 2014

Objectives : Paemo is a phlegm-resolving drug with cold properties and classified 5 kinds which come from 11 species of original plant. All the more, according to literature record, 20 species of original plant were used. As a natural result, these are easily to confuse and there are a lot of counterfeit product. So we are to present a differential standard of Paemo. Methods : It was planed a differential standard form through outer appearance of the original plant and outer appearance in the form of each medicines which was collected local market or field for 11 species which is listed in Korea or China pharmacopeia. Results : It was possible to distinguish the orignal plant between Fritillaria and Bolbostemma through its stem shape. In Fritillaria of original plant, it was possible to distinguish through its width of leaf, number of leafy bracts, color and position of flower and shape of leaf apex. In outer appearance in the form of each medicines, there are difference in color and texture of medicine between Fritillaria and Bolbostemma and there are difference in size, shape, size of inner and outter fleshy leaf of bulb, pattern of surface and apex of fleshy leaf of bulb among 10 Fritillaria species. Conclusions : This study presents various differences in the outer appearance of the original plant and the outer appearance in the form of each medicines among Paemo. It will be helpful to further applied research.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.04a
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• pp.145-147
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• 2010

This study is the visually emotional identification lighting for easy to distinguish using 3colors LED on AtoN facility in shore and harbor, which have realized a controller for certainly express the mouth of a harbor by red light and green light of both sides a harbor and for synchronization at a time of right and left or serial sequential the harbor guidance light through synchronizer or timer by GPS. There is expectation effect that is prevent a confusion about distinguish of facility by ship's operator and to beautify a night scene of harbor, which is expressed to emotional identification lighting differ from great many lighting of harbor with variable color lighting the lighthouse body and vertical layer color lighting using LED. The function of AtoN is adapted that guidance light through synchronization or serial sequential lighting and display of harbor safety message by CW lighting, and this system is the power consumption greatly reduce by candle alternated high light LED.

• Journal of the Korean Society of Marine Environment & Safety
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• v.18 no.5
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• pp.475-480
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• 2012

This study on the methode is easied to distinguish with emotional visual lighting on AtoN facility using 3colors LED, and which is controlled to on-off switching of approach light in shore or harbor. The identification have easied to provide a differentiation between the AtoN facility of red and white light and surrounding light in harbor both sides. And the integrated controller have designed to left-right and serial sequential lighting system for harbor guidance using the GPS synchronous or timer. There is expectation effect that is prevent a confusion about distinguish of facility by ship's operator and to beautify a night scene of harbor, which is expressed to emotional identification lighting and variable color lighting on AtoN body by vertical layer color lighting using LED. In addition, the performance of AtoN is implemented to display with guidance light the harbor safety message by morse code lighting. Effectiveness of system is enhanced that age and power consumption reduce by candle alternated high light LED.

• Journal of Haehwa Medicine
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• v.19 no.1
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• pp.87-98
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• 2010

There are four kinds of diagnosis methods in oriental medicine, and viewing diagnosis(望診) is the most important method among them. There are two ways in viewing diagnosis. These are viewing shape(觀形) and inspecting color(察色). Viewing shape diagnosis includes observation on geometric curve that is made by prominence of bones or lump of flesh, and examination on symmetric disparity and balance of vertical length among three vertical section of face. Inspecting color is literally inspecting several specified region of face. By Viewing shape, we can learn about characteristic physical mechanism of individuals, and basic disposition of reaction from inside and outside infinite stimulations. On the other hand, by inspecting color, we can estimate the very present pathologic and physiologic status of the patient. the estimation is based on principle that inside body changes reveal some reflections on facial skin surface. When you diagnosis patients with inspecting color method, It is important to distinguish color delicately, and to know where to see and what to know from it. The most important and frequently mentioned regions are myong-dang(明堂), eyes(眼) and In-dang(印堂). Myong-dang(明堂) indicates nose. In-dang(印堂) indicates the space between eyebrows. Unlike myong-dang(印堂) and eyes, In-dang(印堂) is occasionally treated as a trivial region then others. But, from research on classical books of facial examination and consideration of it's locational meanings, we've learned In-dang(印堂) is very important in viewing diagnosis, because this region is crossing of the other two regions and this fact means this region expresses the spiritual status as well as physical status in one region.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.10b
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• pp.78-83
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• 2007

The colors have a close to our life and there are many color names derived from plants in Japan. This study aimed to analyze relationship people and plants and investigated what the images of colors derived from plants related to the color names. Surveys on color images of abstract and concrete were conducted with adults who lived in the metropolitan area and in urban areas. The subjects were surveyed about images of similar colors derived from plants(3 type of similar two colors; pink, green and yellow) and asked to select a pair of color names(momo or pink, midori or green, yamabuki or lemon) corresponding to the color. The subjects were simultaneously presented with two similar colors and asked to give their perceptions of each color against 13 polar opposite pairs of terms or phrases using a Semantic Differential Scale, and asked to select the number of the 16 items concerned with life such as clothes and food. With the pink colors, many subjects did not feel opposite abstract images between these two similar colors and felt the same concrete images such as 'cosmetics' and 'clothes', and these color names such as momo and pink are confused. With the green colors and the yellow colors, many subjects felt opposite abstract images between these two similar colors such as 'natural - artificial' and 'rural - urban' and different concrete images such as 'plants' and 'plastics', and these two similar colors are distinguished by the color names such as 'midori - green' and 'yamabuki - lemon'. The results revealed that there are two patterns in the relationship colors derived from plants, color images and color names. In the pattern which images of colors derived from plants are connected with artificial things irrelevant to plants, the color names corresponding to the two similar colors are confused. On the other hand, in the pattern which images of colors derived from plants are connected with plants and artificial things, the two similar colors are distinguished by their color names. So demographics influenced the images of color, younger subjects compared with older tend to obviously distinguish images of colors derived from plants, and there are images of color influenced by the environment as a child. In both patterns, images of colors derived from plants are influenced by artificial things and natural colors are limited among many people. These results indicate that there are a few opportunities to see colors of plants which are full of variety. These results suggest that it is necessary to recognize colors derived from plants in relation to plants and to educate regarding the nature of plants, therefore landscape architecture focused on colors of plants is required.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.48-55
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• 2022

The color image of the brand comes first and is an important visual element that leads consumers to the consumption of the product. To express more effectively what the brand wants to convey through design, the printing market is striving to print accurate colors that match the intention. In 'offset printing' mainly used in printing, colors are often printed in CMYK (Cyan, Magenta, Yellow, Key) colors. However, it is possible to print more accurate colors by making ink of the desired color instead of dotting CMYK colors. The resulting ink is called 'spot color' ink. Spot color ink is manufactured by repeating the process of mixing the existing inks. In this repetition of trial and error, the manufacturing cost of ink increases, resulting in economic loss, and environmental pollution is caused by wasted inks. In this study, a deep learning algorithm to predict printed spot colors was designed to solve this problem. The algorithm uses a single DNN (Deep Neural Network) model to predict printed spot colors based on the information of the paper and the proportions of inks to mix. More than 8,000 spot color ink data were used for learning, and all color was quantified by dividing the visible light wavelength range into 31 sections and the reflectance for each section. The proposed algorithm predicted more than 80% of spot color inks as very similar colors. The average value of the calculated difference between the actual color and the predicted color through 'Delta E' provided by CIE is 5.29. It is known that when Delta E is less than 10, it is difficult to distinguish the difference in printed color with the naked eye. The algorithm of this study has a more accurate prediction ability than previous studies, and it can be added flexibly even when new inks are added. This can be usefully used in real industrial sites, and it will reduce the attempts of the operator by checking the color of ink in a virtual environment. This will reduce the manufacturing cost of spot color inks and lead to improved working conditions for workers. In addition, it is expected to contribute to solving the environmental pollution problem by reducing unnecessarily wasted ink.