• Journal of Conservation Science
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• v.37 no.1
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• pp.13-24
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• 2021

Safflower, a natural dye representing red, is the dye that materials and dyeing method are recorded in the literature, including materials and dyeing. Although the safflower is the same, the ash used as a mordant is recorded differently in each literature, which greatly affects the aesthetic perspective in realizing the traditional safflower red. Therefore, the optimal conditions for realizing the traditional safflower red were sought. The experiment was conducted by pH investigation, dyeing and color analysis by dyeing solution water, concentration, and temperature by ash, and the unique color of red was confirmed. As a result of the test, the pH point of time when the uniq ue color was expressed was 11.53 as goosefoot ash (natural bedrock water), which was 1:100 for concentration and 70℃ for temperature, which was easier to extract red pigment than other ash, indicating that it is suitable for safflower dyeing. The analysis of the ash showed that K and Si play an important role in dyeing, especially Si, which is an element that inhibits carthamon. The color of red was similar to that of KS Standard vivid purplish red in the ash of the goosefoot, and the other ash was deep purplish pink. In the light of findings, it was possible to quantify the dyeing method through traditional materials and find the standard color of red color, and it is judged to be a basic data for studying the unique color of natural materials.

• Journal of Korea Multimedia Society
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• v.21 no.11
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• pp.1244-1253
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• 2018

The color of traffic light is sensitive to various illumination conditions. Especially it loses the hue information when oversaturation happens on the lighting area. This paper proposes a traffic light recognition method robust to these illumination variations. The method consists of two steps of traffic light detection and recognition. It just uses the intensity and saturation in the first step of traffic light detection. It delays the use of hue information until it reaches to the second step of recognizing the signal of traffic light. We utilized a deep learning technique in the second step. We designed a deep convolutional neural network(DCNN) which is composed of three convolutional networks and two fully connected networks. 12 video clips were used to evaluate the performance of the proposed method. Experimental results show the performance of traffic light detection reporting the precision of 93.9%, the recall of 91.6%, and the recognition accuracy of 89.4%. Considering that the maximum distance between the camera and traffic lights is 70m, the results shows that the proposed method is effective.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.1
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• pp.57.1-57.1
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• 2011

It has been suggested that merging plays an important role in the formation and the evolution of early-type galaxies (ETGs). Optical-NIR color gradients of ETGs in high density environments are found to be less steep than those of ETGs in low density environments, hinting frequent merger activities in ETGs in high density environments. In order to examine if the flat color gradients are the result of dry mergers, we studied the relations between merging features, color gradient, and environments of 281 low redshift ETGs selected from Sloan Digital Sky Survey (SDSS) Stripe82. The sample contains 222 relaxed ETGs, 38 ETGs with tidal features, 10 galaxies with dust features and 11 galaxies with tidal and dust features, and Near Infrared (NIR) images are taken from UKIRT Infrared Deep Sky Survey (UKIDSS) Large Area Survey (LAS). We find that r-K color gradients of field sample galaxies are steeper than those of sample ETGs within cluster environments. For the field sample galaxies, a relatively large number of galaxies with peculiar features contribute to the steeper color gradients, while the absence of these peculiar early-type galaxies make color gradients of the cluster sample galaxies intact. In high density environment, ETGs are already evolved and relaxed, resulting flat color gradients. However, in low density environments, a majority of ETGs undergone merging recently which makes the color gradients steep.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.2
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• pp.34.1-34.1
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• 2018

We investigate the properties of bright galaxies with various morphological types in Abell 1139 and Abell 2589, using the pixel color-magnitude diagram (pCMD) analysis. The 32 bright member galaxies ($Mr{\leq}-21.3mag$) are deeply imaged in the g and r bands in our CFHT/MegaCam observations, as a part of the KASI-Yonsei Deep Imaging Survey of Clusters (KYDISC). We examine how the features of their pCMDs depend on galaxy morphology and infrared color. We find that the g - r color dispersion as a function of surface brightness (${\mu}r$) shows better performance in distinguishing galaxy morphology, than the mean g - r color does. The best set of parameters for galaxy classification appears to be a combination of the minimum color dispersion at ${\mu}r{\leq}21.2mag\;arcsec-2$ and the maximum color dispersion at $20.0{\leq}{\mu}r{\leq}21.0mag\;arcsec-2$: the latter reflects the complexity of stellar populations at the disk component in a typical spiral galaxy. Moreover, the color dispersion of an elliptical galaxy appears to be correlated with its WISE infrared color ([4.6]-[12]). This indicates that the complexity of stellar populations in an elliptical galaxy is related to its recent star formation activities. From this observational evidence, we infer that gas-rich minor mergers or gas interactions may have usually occurred during the recent growth of massive elliptical galaxies.

• Journal of the Korean Society of Food Science and Nutrition
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• v.45 no.3
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• pp.460-465
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• 2016

The market for potato chips has expanded due to increased consumption of seasoned potato chips. However, the deep-frying process facilitates development of a browning color and formation of acrylamide. The objective of this work was to minimize browning color and acrylamide formation by fermentation prior to deep-frying. Potato slices were fermented by using three Bacillus strains, B. licheniformis (BL), B. methylotrophicus (BM), and B. subtilis, for 6 h at $30^{\circ}C$. In all fermentation groups, contents of total sugars in potato slices decreased. The color of fermented potato chips improved compared to the control. BM potato chips showed the best color values (76.33 in L value, 5.67 in a value, and 34.79 in b value). All fermentation processes reduced levels of acrylamide in deep-fried potato chips. Fermentation of potato slices for 2 h by BL reduced up to 96.1% acrylamide content. It was concluded that the fermentation process can positively affect color development and acrylamide formation.

• Journal of Broadcast Engineering
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• v.23 no.3
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• pp.361-368
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• 2018

As autonomous driving research is rapidly developing, pedestrian detection study is also successfully investigated. However, most of the study utilizes color image datasets and those are relatively easy to detect the pedestrian. In case of color images, the scene should be exposed by enough light in order to capture the pedestrian and it is not easy for the conventional methods to detect the pedestrian if it is the other case. Therefore, in this paper, we propose deep neural network (DNN)-based multi-spectrum pedestrian detection method using color and thermal images. Based on single-shot multibox detector (SSD), we propose fusion network structures which simultaneously employ color and thermal images. In the experiment, we used KAIST dataset. We showed that proposed SSD-H (SSD-Halfway fusion) technique shows 18.18% lower miss rate compared to the KAIST pedestrian detection baseline. In addition, the proposed method shows at least 2.1% lower miss rate compared to the conventional halfway fusion method.

• The Journal of Pediatrics of Korean Medicine
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• v.16 no.2
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• pp.23-37
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• 2002

We have plenty of study of adults diseases, but not much has been said about children. 79 children who had visited in the weak children of Dongeui Oriental Medical Hospital from March, 2002 to October, 2002, were the respondents of the Weak Child Questionnaire. The results obtained were as follows: 1. Their symptoms have been observed with sequences of respiratory diseases, Digestive diseases, Psycho-neurological diseases. 2. Distribution of sex and ages : male 38 cases, female 41 cases. $0{\sim}6$ years 60 cases, $7{\sim}12$ years 17 cases, $13{\sim}18$ years 2 cases. 3. The texture of complexion was resulted in face color and the region of the face : whitish-2/ cases. yellowish-27 cases, darkish-22 cases, blue-2 cases, flushed face-l case. Sangeun(山根)-blue : 59 cases, a lower eyelid- dark or light brown : 54 cases. the rests of color on face region didn't mean. 4. The texture of tongue was ended in tongue state : tongue form-not plump not haggard patten(57 cases), a pricky patten(12), a map patten(7), a fissured patten(3). tongue color- pink (57 cases), red(16), light white(6). coating color- thin white(61 cases), thin yellow(l0), lack(6), deep and white(2). tongue coating substance-thin(72 cases), moisten(5), dry(1), deep(1).

• Journal of Sasang Constitutional Medicine
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• v.22 no.1
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• pp.1-8
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• 2010

1. Objectives: This study was performed to research the relationship between Sasang Constitution and characteristics of tongue diagnosis based on Donguisusebowon's Experience prescriptions(經驗方). 2. Methods: We searched tongue diagnosis factors in Donguisusebowon and classified this. Based on Donguisusebowon's Experience prescriptions(經驗方), we find tongue diagnosis factors in 6 contemporary Oriental medicine prescription books. 3. Results: Most So-eumin has white thin tongue coating and clear redish tongue color. Yellow tongue coatings are found in symptoms for Yinjinho-tang(Yinchenhao-tang), Soseungki-tang(Xiaochengqi-tang), Daeseungki-tang(Dachengqi-tang). Shortened Tongue is found in So-eumin's experience prescription and So-yangin's treat histroy. It didn't shown that So-eumin's Semen Crotonis included 6 prescritions' factors of tongue diagnosis. So-yangin's white tongue coating is found in Hyungbangpaedok-san(Jingfangbaidu-san), Sipjo-tang(Shizao-tang), Sosiho-tang(Xiaocihu-tang), Shinki-hwan(Shenqi-wan). Most of other So-yangin's tongue coatings are Yellowish and tongue color is deep red. Tae-eumin have thin white tongue coating at the Mahuang-tang(Mahuang-tang). Red tongue color and drying tongue are found at Jowiseungki-tang(Tiaoweichengqi-tang)Daesiho-tang(Dacihu-tang)Saengmaek-san(Shengmai-san) 4. Conclusions: Following So-eumin's Experience prescriptions, So-eumin's tongue color is clear red and tongue coatings are thin white and greasy. Following So-yangin's Experience prescriptions, So-yangin's tongue color is deep red and tongue coatings are yellowish and scarce except Exterior cold disease. And So-yangin has specific symptom of irritability, oral sores. Tae-eumin's tongue has two sides of white thin tongue coatings and Red and drying tongue.

• Journal of Ocean Engineering and Technology
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• v.36 no.1
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• pp.32-40
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• 2022

Underwater optical images face various limitations that degrade the image quality compared with optical images taken in our atmosphere. Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast, blurry clarity, and color degradation in underwater images. We constructed an image data of the Korean sea and enhanced it by learning the characteristics of underwater images using the deep learning techniques of CycleGAN (cycle-consistent adversarial network), UGAN (underwater GAN), FUnIE-GAN (fast underwater image enhancement GAN). In addition, the underwater optical image was enhanced using the image processing technique of Image Fusion. For a quantitative performance comparison, UIQM (underwater image quality measure), which evaluates the performance of the enhancement in terms of colorfulness, sharpness, and contrast, and UCIQE (underwater color image quality evaluation), which evaluates the performance in terms of chroma, luminance, and saturation were calculated. For 100 underwater images taken in Korean seas, the average UIQMs of CycleGAN, UGAN, and FUnIE-GAN were 3.91, 3.42, and 2.66, respectively, and the average UCIQEs were measured to be 29.9, 26.77, and 22.88, respectively. The average UIQM and UCIQE of Image Fusion were 3.63 and 23.59, respectively. CycleGAN and UGAN qualitatively and quantitatively improved the image quality in various underwater environments, and FUnIE-GAN had performance differences depending on the underwater environment. Image Fusion showed good performance in terms of color correction and sharpness enhancement. It is expected that this method can be used for monitoring underwater works and the autonomous operation of unmanned vehicles by improving the visibility of underwater situations more accurately.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.5
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• pp.911-921
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• 1997

Recently the interest in natural dyeing has been increased because of the color clarity, natural grace and reactionism in fashion. Indigo dyeing, safflower dyeing and Gal-ott in Cheju-Do become generally known, so the study about the natural dyeing is continued with national intrust and support. In this study, 1 used artemisia for various dyeing tests because we can get it easily. 1 tested the dyeability in wool as well as cotton and silk with wormwood in natural dyeing material. I also dyed nylon with the same material for the comparison of the molecular structure. The mercerization and the chitosan treatment were done in cotton to improve the low dyeability in the natural dyeing. The result of this study are as follows; We have to dye repeatedly to get deep color in natural dyeing, and mordant treatment brought good result in color difference and dyeing fastness. 1. Compared with silk, wool and nylon, the dyeability of cotton was the worse. The color difference of cotton was 18.81 without mordants , and 24.05 with mordant. The dyeability of cotton was much increased by mordants such as potassiumdichromate, copper sulfate, iron sulfate and salt water. The color of cotton was turned into yellow-green in potassium dichromate and yellow-green with deep green in copper sulfate. The mercerization and the chitosan treatment of cotton made the improvement in color, dyeability, laundering fastness, abrasion fastness. 2. The color difference of silk was 3 times as high as cotton. It showed the similar degree with the chitosan treated-cotton. That is to say, silk had good dyeability because it contains amino group and carboxyl group. The dyebility of silk was increased by a mordant such as iron sulfate, potassium dichromate and salt water, Drycleaning fastness showed 5 grade, abrasion-fastness was high over 4~5 grade and sunlight fastness showed 1 grade in all case. 3. The color difference of wool was the best among four fabrics because of 18 kinds of amino acids. It is considered that the sulfate of wool has the polarity and help metal- mordants get the better dyeability such as potassium dichromate, iron sulfate, copper sulfate, and aluminum chloride. The color was reddish-green in potassium dichromate, yellow.greenin iron sulfate and copper sulfate, and yellow in the rest mordants. Drycleaning fastness of wool showed over 4~5 grade, abrasion fastness 5 grade. Sunlight-fastness 1 grade. 4. The dyeability of nylon was almost same because of the similar molecular structure with silk. The clarity of color was poor. The color was yellow-green in copper sulfate and yellow in the rest mordants. Laundering fastness and abrasion-fastness of nylon was good. Sunlight- fastness represented 1 grade.