• Journal of the Korea Furniture Society
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• v.20 no.1
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• pp.42-51
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• 2009

As wine culture becomes popular among the people in modem society, the consumption of wine has increased due to the need to enjoy wine at home. Nonetheless, the development of wine cabinet has not made much progress. In order to compensate such matter, a wine cabinet that satisfies the taste of new generation as well as the need demanded in the modem living space is transcended its simple and solemn image embedded in wooden colored form, which is often found in existing products. First of all, the definition, kind, bottles, and glasses of wine are examined and then a cabinet is developed depending on the design process. The body of the wine cabinet is finished with black lacquer after attaching ash-patterned veneer on MDF and the front plate of the drawer is finished with the colors displayed in Mondrian's painting on MDF. The upper part is designed to store wine glasses and below the wine rack is the space for wine storage considering the overall shape. The storage at the lower part is equipped with drawers of different sizes to emphasize practicability. In conclusion, such a unique design is believed to introduce the importance of design to the domestic furniture market being a foundation for the furniture industry.

• Korean Journal of Pharmacognosy
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• v.27 no.4
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• pp.359-365
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• 1996

In order to product the saikosaponin which is one of the secondary product from Bupleurum falcatum efficiently through the tissue culture, several levels of agar and gellan gum as the gelling agent, 2,4-D as the growth regulator, and L-phenylalanine as the precursor were used with single or combination treatment on MS basal medium. Gellan gum was more effective than agar as the gelling agent in fresh and dry weight increase of callus induced from Bupleurum falcatum leaf segment. Gellan gum medium supplemented with L-phenylalanine produced 1.6 times of fresh weight more than that of agar. The fresh weight was remarkably high in gellan gum when the calli was treated with the combination of 2,4-D and L-phenylalanine similar to the single treatment of 2,4-D or L-phenylalanine. However, the saikosaponin content in callus was high in gellan gum with the single treatment of L-phenylalanine. Especially, the saikosaponin content in gellan gum supplemented with 1.0mg/L L-phenylalanine was 2 times(2.4 mg/g) higher than that in agar medium supplemented with 0.1 mg/L 2,4-D(0.9 mg/g).

• Journal of the Korean Society of Food Culture
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• v.21 no.6
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• pp.629-637
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• 2006

This exploratory study is to analyze the status of star menus and suggest the development strategy of star menus in the western restaurants of the tourism hotels in Seoul. The data was collected from the chefs who have been working over 15-years in tourism hotels in Seoul by judgement sampling. The questionnaire was composed of Miller and Pavesic's 'Fifty tips for a successful menu' and Khan's 'The evaluation of menu item development', The 30-menu items were selected from the 1st survey on the menu items that were high in both popularity and contribution margin by menu engineering method. The selected menu items were analyzed by 14 lists: simplicity, ready availability of ingredients, quality, flavor, presentation, preparation, service method, nutrition quality, preference, profitability, serving temperature, descriptive copy of menu and publicity. As a result of the study, appetizer category was recorded the highest score by 4.09. Smoked salmon, Tomato and mozzarella cheese, Cream of mushroom, Cream of asparagus, French onion soup, Grilled beef tenderloin, Grilled rib-eye steak, Roasted lamb rack, King prawn, Seafood spaghetti, Chef's salad, Caesar salad, Organic salad, Fruit plate, Italian tiramisu and Yogurt ice cream were recorded high score. The development strategy of star menu is belows : the menu writer must consider the productivity, effectiveness, popularity and profitability, the regular customers want varieties and creativity in the menu and the operators have to include the star menu items in the set menu.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.391-396
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• 2024

This study proposes a novel reverse N-Gram approach to overcome the limitations of traditional N-Gram methods and enhance performance in building an entity dictionary specialized for the healthcare sector. The proposed reverse N-Gram technique allows for more precise analysis and processing of the complex linguistic features of healthcare-related big data. To verify the efficiency of the proposed method, big data on healthcare and digital health announced during the Consumer Electronics Show (CES) held each January was collected. Using the Python programming language, 2,185 news titles and summaries mentioned from January 1 to 31 in 2010 and from January 1 to 31 in 2024 were preprocessed with the new reverse N-Gram method. This resulted in the stable construction of a dictionary for natural language processing in the healthcare field.

• Journal of the Korea Society of Computer and Information
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• v.16 no.10
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• pp.229-239
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• 2011

This study aims to suggest profitability models of local cultural festival to be a focal point of local culture to overcome the abuses as an annual event led by the local government agencies have been in force in every local areas currently, to elicit the local residents' voluntary participation and to engage the outside tourists in connection of a more effective promotion and marketing. The festival is attractive to people with that provoke mirth and inspire curiosity, but the festival is not a one-time event ongoing maintenance enlarge: It is absolutely necessary in order to effort to reach at consumer-oriented quality of service. Also this research intends to present a activation scheme by developing profitability models to make profits while holding a number of risks taking into account the characteristics of the local festival service carried out. To this end, based on established research, leading indicator and expert opinion were analyzed through multiple regression analysis.

• Microbiology and Biotechnology Letters
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• v.42 no.4
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• pp.413-416
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• 2014

The antibacterial activity of chitosan against Escherichia coli and Staphylococcus aureus was investigated in the presence of NaCl, acetic acid, lactic acid, and citric acid to assess its potential use as a food preservative. The inhibitory activity of chitosan decreased slightly upon adding NaCl to culture broth containing 100 ppm of chitosan (MW 3,000), while adding acetic acid, lactic acid, or citric acid enhanced the inhibitory activity of chitosan on growing cells. Our results indicate that food components, such as NaCl, acetic acid, lactic acid, and citric acid, can significantly affect the bactericidal activity of chitosan.

• Korean Journal of Food Science and Technology
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• v.33 no.2
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• pp.271-277
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• 2001

Ethanol extracts from Mallotus japonicus Muell exhibited strong antimicrobial activities by paper disc diffusion method on the five strains of Listeria monocytogenes(ATCC 19111, ATCC 19112, ATCC 19113, ATCC 19114 and ATCC 15313). Ethanol extract from Mallotus japonicus Muell was subsequently fractionated by n-hexane, chloroform, ethyl acetate and water. n-Hexane fraction of Mallotus japonicus Muell showed strong growth inhibition at concentrations as low as 20 ppm level in broth culture medium on the five strains of L. monocytogenes for 72 hr at $30^{\circ}C$. Single substance(M34-4-4) was isolated from n-hexane fraction of Mallotus japonicus Muell. M34-4-4 showed a bactericidal activity against L. monocytogenes at a concentration of 50 ppm level. The purified M34-4-4 was identified as linolenic acid by $^1H-NMR,\;DEPT-135\;and\;^{13}C-NMR$.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.49 no.6
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• pp.482-486
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• 2004

Benzyladenopurine (BA), a synthetic chemical commonly used for bean sprout culture, should be minimized for wellbeing foods or not be applied. The study was done to check the effect of different BA concentrations treated during 5 hour imbibition on growth and morphological characters of mungbean sprouts. The mungbean seeds of 3 cultivars (Keumseongnogdu, Owoolnogdu, and Zhong Lu 1) were imbibed for 5 hours in the solutions with different BA concentrations (0, 25, 50, 75, and 100 ppm) before 3 hour aeration. On the 6th day after culture, the mungbean sprouts were classified by 4 categories on the base of hypocotyl length; > 7cm, 4 to 7cm, < 4cm, and non-germination, and their morphological characters, fresh and dry weights were measured. Regardless of cultivars the composition rate of hypocotyls of longer than 7cm was decreased with increased BA concentration over 50 ppm while the reverse result was true in the rate of shorter than 4cm. In the rate of 4 to 7cm. cv. Owoolnogdu showed the highest rate in its 50 ppm concentration although cv. Keumseongnogdu and Zhong Lu 1 showed similar result to the above two rates. Formation rate and its number of lateral roots were largely changed around 50 ppm concentration but the roots was not formed in over its 75 ppm concentration. Hypocotyl and root lengths of all the cultivars were shortened with increased BA concentration. In the diameter of middle part of hypocotyl, 3 cultivars showed nearly the same responses as the rate of 4 to 7cm hypocotyls. Hypocotyl and total fresh weights per sprout were heavier in BA treated sprouts than in no treated ones but the weights of the former sprouts were not influenced by its different concentrations.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.403-409
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• 2024

In this paper, the guidelines for the design of an Artificial Intelligence(AI) based Integrated Process Safety Management(PSM) system to enhance workplace safety using data from process safety reports submitted by hazardous and risky facility operators in accordance with the Occupational Safety and Health Act is proposed. The system composed of the proposed guidelines is to be implemented separately by individual facility operators and specialized process safety management agencies for single or multiple workplaces. It is structured with key components and stages, including data collection and preprocessing, expansion and segmentation, labeling, and the construction of training datasets. It enables the collection of process operation data and change approval data from various processes, allowing potential fault prediction and maintenance planning through the analysis of all data generated in workplace operations, thereby supporting decision-making during process operation. Moreover, it offers utility and effectiveness in time and cost savings, detection and prediction of various risk factors, including human errors, and continuous model improvement through the use of accurate and reliable training data and specialized datasets. Through this approach, it becomes possible to enhance workplace safety and prevent accidents.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.725-733
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• 2024

This study aims to develop an artificial intelligence-based model for predicting the causes of chemical accidents, utilizing data on 865 chemical accident situations and cases provided by the Chemical Safety Agency under the Ministry of Environment from January 2014 to January 2024. The research involved training the data using six artificial intelligence models and compared evaluation metrics such as accuracy, precision, recall, and F1 score. Based on 356 chemical accident cases from 2020 to 2024, additional training data sets were applied using chemical accident cause investigations and similar accident prevention measures suggested by the Chemical Safety Agency from 2021 to 2022. Through this process, the Multi-Layer Perceptron (MLP) model showed an accuracy of 0.6590 and a precision of 0.6821. the Multi-Layer Perceptron (MLP) model showed an accuracy of 0.6590 and a precision of 0.6821. The Logistic Regression model improved its accuracy from 0.6647 to 0.7778 and its precision from 0.6790 to 0.7992, confirming that the Logistic Regression model is the most effective for predicting the causes of chemical accidents.