• Applied Biological Chemistry
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• v.14 no.2
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• pp.121-129
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• 1971

During the Brewing of Soy Sauce on an industrial scale, Saccharomyces rouxii $T_9$ was cultured and added to the soy sauce mash. The comparative experiments of soy sauce mash in non-addition and addition group of yeast were examined in this report. The yeast flora and chemical composition of Soy sauce mash through out the brewing were observed and the results obtained were as follows. (1) The number of Osmophilic yeast in one ml of soy sauce mash showed $185{\times}10^3$ 1 month after mashing and $750{\times}10^3$ 4 months after mashing in case of yeast group, while presented as $98{\times}10^3$ 1 month after mashing and $394{\times}10^3$ 4 months after mashing in case of non-yeast group. And the number of Osmphilic yeast in yeast group was twice of that in non-yeast group. (2) The number of ordinary yeast of TTC red group was shown as $2132{\times}10^3\;to\;3252 ×10^3$ 5 to 6 months after mashing in case of yeast group, while presented $752{\times}10^3\;to\;1251{\times}10^3$ in case of non-yeast group. And the yeast group was shown more than non-yeast group in ordinary, red pink and pink yeast number. (3) TTC red yeast were strongly appeared in both addition and non-addition group of yeast from 1 month after mashing to 6 months after mashing. (4) Though total nitrogen, pure extract, pH and buffer action contents of soy sauce showed similiar tendency in yeast and non-yeast group, alcohol and color density contents were highly appeared in yeast group and reducing sugar content was in non-yeast group respectively. (5) By the results of Organic function test of soy sauce mash, the difference of taste quality in yeast and non-yeast group were not evidently appeared, however, the appearance and flavour of the soy sauce were better in yeast group than in non-yeast group.

• Journal of Distribution Science
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• v.14 no.8
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• pp.139-151
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• 2016

Purpose - In Chinese rose market, Korea competes against Latin American and African countries, but is not so competitive in terms of price and quality, implying the importance of using appropriate marketing strategies. This study aims to examine Chinese rose consumers' recognition and attributes of preference for roses produced in Korea, in order to use the result as baseline data for Korean rose exporters to China and provide implications that help establish a variety of marketing strategies targeting each region, income and age group. Research Design, Data and Methodology - 112 Chinese people were involved and interviewed in Chinese horticulture industry who had participated in 2016 Hortiflorexpo IPM Beijing. Online questionnaire survey was additionally conducted with 533 Chinese living in Korea and China. The Conjoint Analysis was conducted for region, age, and income group of respondents to estimate the relative importance of rose attributes evaluated by each population group and the utility derived from each attribute level. This process aimed to compare respective population groups for the relative importance and utility to derive implications for targeted marketing strategies. Results - The analysis finds that Chinese rose consumers prioritize rose color, followed by price, flowering stage, and flower size in purchasing roses. They prefer red roses most, followed by pink and then yellow. Moreover, they prefer larger roses, and relatively cheaper roses. The analysis reveals they prefer roses in their 20%-flowering stage to more than 40%-flowering stage. Conclusions - Establishing marketing strategies differentiated for each Chinese consumer group is critical in expanding Korean rose export. The analysis finds while Chinese consumers living in Beijing considered rose color and flowering stage more importantly than their counterparts in Shanghai, Chinese consumers living in Shanghai considered rose price and size more importantly than their counterparts living in Beijing. Therefore, establishing marketing strategies based on these attributes of preference in each region is necessary. Mid & low-income consumer groups considered price as the most important factor, and high-income consumer groups considered rose color as the most important one. It is, thus, important to focus on rose color when establishing a marketing strategy with targeting the high-income consumer group.

• Journal of the Korean Vacuum Society
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• v.17 no.5
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• pp.466-472
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• 2008

Purple Gold is the alloy consisting of 78wt%Au-22wt%Al, and is expressed as a chemical formula, $AuAl_2$. Lately it is being used for the material of accessories or the decorative ornaments, being one of the colored golds having the peculiar purple color, like White Gold and Pink Gold. Purple Gold has the weak point in shaping through casting process due to the bad malleability and castability, being the intermetalic compound of Au and Al. Therefore, it is possible to produce the final product only by the cutting and the grinding process or to use it as a decorative coat with the thin film evaporation. This study implemented two kinds of thin film experiments. One is the case that heat treatment was made after Au and Al deposition evaporated separately with a weight ratio 78:22 on the 200nm$SiO_2$/Si substrate. The other is the case that the surface deposition was made through the vacuum evaporation, keeping the glass substrate temperature remain room temperature, using the bulk $AuAl_2$ as a source. The final film property was measured, focusing on the Purple Gold's color and thickness through the bare eye inspection, the microstructure analysis, the surface resistance analysis, the color difference analysis, and XRD analysis. Purple Gold was not formed, as the excessive surface agglomeration occurred, in case of being produced and treated thermally with 12.5nmAu/40nmAl/200nm$SiO_2$/Si structure. Our results suggest that of Purple Gold films, showing the same purple color as the bulk's, were successfully deposited with the direct thermal evaporation from the $AuAl_2$ bulk source.

• Journal of the Korean Home Economics Association
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• v.30 no.2
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• pp.1-20
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• 1992

The purpose of this study was to investigate(Ⅰ) the effect of a masculine-feminine image in women's suit on the perception of the wearer's occupational characteristics and suitability of the clothing for certain occupations, and (2) the effect of perceiver's sex, sex-role attitudes, and occupation on the perception formed by the function of clothing cues. The research design of the study consisted of 2(pink and navy blue colors) × 4(masculine and feminine forms) factorial design of a suit. The experimental materials developed for this study were a set of stiuli and 2 response scales. The stimuli consisted of 8 drawings of woman's clothing made by systematic manipulations of 2 independent variables(color and form) in drawings of suit. The dependent variables were the perceptions of the wearer's occupational characteristics and suitability of the masculine or feminine clothing for certain occupations. Occupational characteristics were measured with a 7-point semantic differential scale composed of 21 bipolar adjectives. Perception of ccupational suitability was assessed with 12 items of 5-point Likert type questions. In addition, the Bem Sex-role Inventory was used to assess perceiver's sex-role attitudes. The subjects consisted of 393 men and 389 women, whose occupations were classified as professionals, secondary school teachers, and white-collar workers. They were randomly assigned to one of 8 suit. The data were analyzed by factor analysis, MANOVA, ANOVA, Mean and S.D. Three factors emerged to account for the perception of occupational characteristics. These factors were given the titles of (1) activity, (2) potency, and (3) evaluation factors. The activity factor was the largest, including 9 adjectives. Differences in the form of the suit had effects on potency and evaluation for both sexes, while it also had some effect on activity for women. The color of the suit had some effect on evaluation for both sexes. Strong effects of color and form on the suit were seen in perception of occupational suitability for the occupations of attorney(masculine) and secretary(feminine). On suitability for secondary school teaching occupation, the effects of color and form of suit differed by sex of the subjects. Perceiver's sex-role attitudes and occupation paritally influenced the perception of the wearer's occupational characteristics and suitability of the clothing for certain occupations. In summary, a masculine-feminine image of clothing had a significant effect on the perception of occupational characteristics as well as on suitability of the clothing for certain occupations. Thus, the results of the study support the implicit personality theory on person perception and also the stereotypes of sex-roles on the perception of occupational suitability.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.1
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• pp.47-56
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• 2009

Purpose: To find optimized luminosity factor of color from light transmission filter. Methods: To make $Y_{1-x}G_{x}$, $Y_{1-x}P_{x}$ by using CR-39 compound within dipping method, mixing up Y(Yellow), G(green) and P(pink) for optimize eye sensitivity. Modeling for relative luminous efficiency(relative sensitivity) curves in Luminose transmission, it could be resolved by Multiplying sensitivity of eye within transmission rate of Lens ($P_f({\lambda}=T({\lambda}){\cdot}P({\lambda}).)$.). To evaluate Wavelength between 400~700 nm, relative luminous efficiency curve in Area and Height value is being used. Results: In color filter of $Y_{1-x}G_{x}$ position of x equals to 0.04, 0.1, 0.08, 0.12, 0.14, 0.5 at ${\beta}=S_1/S_0{\cdot}100$ each consist value of 76.1, 77.9, 80.7, 81.6, 80.2, 18.6 In color filter of $Y_{1-x}P_{x}$ position of x equals to 1.00, 0.2, 0.6, 0.8 at ${\beta}=S_1/S_0{\cdot}100$ each consist value of 74.3, 74.0, 70.5, 33.0 The result from experiment $Y_{1-x}P_{x}$ value less than $Y_{1-x}G_{x}$, from evaluating luminous efficiency curve and test was successfully optimized. Conclusions: Optimized relative luminous efficiency curve result have value of X=0.12-0.14 at $Y_{1-x}G_{x}$.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.37-48
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• 2020

Eight colors prescribed by the Enforcement Rules of the Road Traffic Act and the group standard were tested to secure the minimum recursive reflectance performance standards when drying and wetting. The results were calculated to be 260.8 (mcd/㎡·lux) when drying white and 154.6 (mcd/㎡·lux) when wet. Yellow was 67% compared to the white reflective performance when drying. Wet poetry was 79 % and 59 %, respectively. In the case of blue, it was 64% in the case of white versus 72% in the case of white. Wet poetry was 63 % and 72 %, respectively. The range of changes in reflective performance during wetting was higher than when drying, and the absence of glass grains was similar to the previous results. The new colors also have a standard value of more than 50% compared to the white color in red, orange, pink, light green, and green. Based on this, it was estimated that the minimum reflective performance criteria according to the color of the road markings would form the basis for the enforcement rules of the Road Traffic Act.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.139-156
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• 2021

The biggest reason for using a deep learning model in image classification is that it is possible to consider the relationship between each region by extracting each region's features from the overall information of the image. However, the CNN model may not be suitable for emotional image data without the image's regional features. To solve the difficulty of classifying emotion images, many researchers each year propose a CNN-based architecture suitable for emotion images. Studies on the relationship between color and human emotion were also conducted, and results were derived that different emotions are induced according to color. In studies using deep learning, there have been studies that apply color information to image subtraction classification. The case where the image's color information is additionally used than the case where the classification model is trained with only the image improves the accuracy of classifying image emotions. This study proposes two ways to increase the accuracy by incorporating the result value after the model classifies an image's emotion. Both methods improve accuracy by modifying the result value based on statistics using the color of the picture. When performing the test by finding the two-color combinations most distributed for all training data, the two-color combinations most distributed for each test data image were found. The result values were corrected according to the color combination distribution. This method weights the result value obtained after the model classifies an image's emotion by creating an expression based on the log function and the exponential function. Emotion6, classified into six emotions, and Artphoto classified into eight categories were used for the image data. Densenet169, Mnasnet, Resnet101, Resnet152, and Vgg19 architectures were used for the CNN model, and the performance evaluation was compared before and after applying the two-stage learning to the CNN model. Inspired by color psychology, which deals with the relationship between colors and emotions, when creating a model that classifies an image's sentiment, we studied how to improve accuracy by modifying the result values based on color. Sixteen colors were used: red, orange, yellow, green, blue, indigo, purple, turquoise, pink, magenta, brown, gray, silver, gold, white, and black. It has meaning. Using Scikit-learn's Clustering, the seven colors that are primarily distributed in the image are checked. Then, the RGB coordinate values of the colors from the image are compared with the RGB coordinate values of the 16 colors presented in the above data. That is, it was converted to the closest color. Suppose three or more color combinations are selected. In that case, too many color combinations occur, resulting in a problem in which the distribution is scattered, so a situation fewer influences the result value. Therefore, to solve this problem, two-color combinations were found and weighted to the model. Before training, the most distributed color combinations were found for all training data images. The distribution of color combinations for each class was stored in a Python dictionary format to be used during testing. During the test, the two-color combinations that are most distributed for each test data image are found. After that, we checked how the color combinations were distributed in the training data and corrected the result. We devised several equations to weight the result value from the model based on the extracted color as described above. The data set was randomly divided by 80:20, and the model was verified using 20% of the data as a test set. After splitting the remaining 80% of the data into five divisions to perform 5-fold cross-validation, the model was trained five times using different verification datasets. Finally, the performance was checked using the test dataset that was previously separated. Adam was used as the activation function, and the learning rate was set to 0.01. The training was performed as much as 20 epochs, and if the validation loss value did not decrease during five epochs of learning, the experiment was stopped. Early tapping was set to load the model with the best validation loss value. The classification accuracy was better when the extracted information using color properties was used together than the case using only the CNN architecture.

• Research in Plant Disease
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• v.22 no.2
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• pp.94-99
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• 2016

For the purpose of practical application of gamma irradiation for export lily without the ionic energy damage, 150 Gy gamma ray was suggested as the safe level on cut lilies, the oriental cultivar Siberia (white) and Sorbonne (pink). The combined treatments of 150 Gy gamma ray and sodium dichloroisocyanurate (NaDCC) at 0, 40, 100, and $200{\mu}g/l$, were tried to control lily leaf blight caused by Botrytis elliptica. Incidences of petal blight on the two oriental lilies at control were 93%-95%, whereas those at the combined treatments of 150 Gy and $100{\mu}g/l$ or higher of NaDCC were 76%-83%. However, severity of petal blight was not reduced by the combined treatments. Gamma irradiation at 150 Gy did not change the cut lily quality such as improve cut lily longevity of vase-life compare with the control. In addition, fresh weight, chlorophyll contents, and the color of pink petals of Sorbonne were not changed by 150 Gy of gamma irradiation. Therefore, we recommend the combined treatment of 150 Gy gamma irradiation and $100{\mu}g/l$ NaDCC for the standard operating procedure on cut lily for export quarantine to control leaf blight.

• The Journal of Korean Academy of Prosthodontics
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• v.54 no.4
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• pp.438-444
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• 2016

To enhance the esthetic appearance, the maxillary anterior area is important. It is possible to improve the esthetic appearance through the treatment of maxillary anterior area, which includes altering the color, form, and arrangement of teeth. When planning these treatments, clinicians should individualize personal demands, by using the information obtained from facial, dento-labial, dental, and gingival analysis. It is essential to properly prepare the gingival structure, which includes the height of gingival margin, the location of zenith, reconstruction of the interdental papillae, emergence profile, and symmetry. Clinicians often face unfavorable condition of the gingiva and the edentulous ridge, and appropriate management of the gingival structure is needed. In this case report, the patients were treated to improve the gingival conditions surrounding maxillary anterior teeth. By using conservative treatment without surgical intervention, such as application of pink porcelain, subgingival contour modelling and modification of pontic base, satisfactory esthetic results were gained.

• Journal of the Korean Academy of Esthetic Dentistry
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• v.26 no.1
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• pp.17-23
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• 2017

Purpose: This retrospective study is to evaluate whether the timing of implant placement and the result of esthetic outcomes are related. Materials and Methods: Among the patients who had undergone single implant surgery on anterior area from 2010 to 2013 in Veterans Health Service Medical Center, 34 implants in 27 patients (24 male and 3 female) were selected and categorized into 3 groups according to the timing of placement, which are group D (Delay), group E (Early) and group I (Immediate). Aesthetic indices used included the Pink Esthetic Score (PES). It has 7 variables scores, such as mesial papilla, distal papilla, a level of soft-tissue margin, soft-tissue contour, alveolar process, soft-tissue color, and soft-tissue texture. Each variable ranges from 0 to 2, therefore total 14 points are highest. All patients were received by regular follow-up at least 1-year. One examiner measured PES on the intraoral photos. Each patient was considered as a statistical unit for statistical analysis. Statistical analyses were performed using a commercially available statistical software (SPSS Statistics 21.0, IBM Corp., Armonk, NY, USA). Kruskal-Wallis test was used for inter-group comparisons. Statistical significance was set at P<0.05. Result: Mean score in Group D, Group I, and Group E were $11.5{\pm}1.5$, $11.4{\pm}1.8$, and $11.3{\pm}1.8$ respectively. In Kruskal-Wallis test, there are no differences (P=0.989). Conclusion: In this limited study suggests that clinical aesthetic results can be achieved with all treatment protocols. Finally, various factors can be considered to produce the esthetic results.