• Journal of the Korean Society of Food Science and Nutrition
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• v.30 no.5
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• pp.882-887
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• 2001

The purpose of this study was to investigated quality properties of breads prepared from wheat flour with persimon leaf power. Results showed that the volume of bread was lessened, the weight of bread went up, and baking loss rate diminished as persimmon leaf powder content incremented. The experiment showed that bread was maintained in the low level of springiness and cohesiveness was relatively reduced as time lapsed, whereas 3.0 and 5.0% test group remained significantly high level. There was a rapid increment in chewiness and gumminess, which tended to show significantly low as compared to control group, Results of sensory evaluation showed that the preference scores decreased as the persimmon leaf powder contents increased (p<0.05), flavor made no significant differences up to 3.0% test group, however, 5.0% test group containing elutionsuch as catechin or tannin produced sour and bitter taste so strongly that made if feel uncomfortable with. The augment of content indicated a low prederence in terms of texture, in an overall preference had no significant differences as compared to the control group, and 0.5% test group. Through the results of these of these experiments, we can conclude that the highest quality of persimmon leaf powder content is no more than 0.5% in making bread added with persimmon leaf powder.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.6
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• pp.874-881
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• 2015

In the food industry, thermal treatment is an important process for extending shelf-life of foods. However, heating process affects the physicochemical, nutritional, and microbial properties of foodstuff such as color, texture, pH, and proximate compositions. This study was conducted to select an optimal thermal treatment by observing physicochemical, nutritional, and microbial effects of shiitake mushrooms with different thermal treatment methods. Shiitake mushrooms were washed and sliced equally ($5cm{\times}0.5cm{\times}0.5cm$) and then heat-treated by three methods. Samples were heated in $100^{\circ}C$ boiling water, steamed for 10 min, or pan fried at $130^{\circ}C$ for 4 min. Total color difference values showed significantly increasing tendency with treatment time. For pH values, boiling water-treated mushrooms showed increasing tendency according to increased thermal treatment. For the results of hardness, boiling water or pan frying-treated mushrooms showed reduced tendency within 1 min. In the case of steam-treated mushrooms, hardness values were maintained for 1 min. Organic acid contents of steam-treated sample showed the lowest value among treatments. For microbial counts, steam-treated samples for 3 min showed the lowest value. Consequently, the results of this study suggest that steam treatment could be the optimal thermal treatment to minimize quality loss of shiitake mushrooms.

• Review of Culture and Economy
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• v.17 no.2
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• pp.3-28
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• 2014

The characteristics of performing arts differ from those of utilitarian goods in terms of economics. Factors other than price need to be considered to understand the demand for performing arts. Audience surveys as well as econometric demand studies have confirmed that socio-economic factors such as age, income, employment, and education are major determinants of the demand for performing arts. This study focused on the attributes of concerts rather than consumer characteristics to determine the concerts audiences select in terms of transaction cost. Genre, price, internet search trends, and the purpose of performance as well as price are tested as determinants of demand by using the data set for a major concert hall in Seoul. Genre and the specific purpose of concerts influence the demand for concerts. Internet search trends of the performer are used as indicators of popularity and information exposure, which are positively correlated with demand. This result supports the hypothesis that larger audiences would attend concerts that require lower information search costs. To note, price has a positive effect on demand in the higher price range, which means that concerts at higher prices attract larger audiences, whereas normal goods have a negative slope in the demand curve. This result can be explained by the hypothesis that consumers use price as an indicator of the quality expected of a concert. Transaction cost for selecting classical concerts thus forms an inverse-U shape curve against ticket price. These results provide some explanation of why audiences of classical music choose to attend concerts at high ticket prices while offering evidence in favor of the hypothesis that performing arts are selected in a social context.

• Food Science and Preservation
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• v.19 no.4
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• pp.525-531
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• 2012

This study was conducted to evaluate the quality and anti-oxidant characteristics of different granule tea variants (WSMGT: granule tea prepared from sea mustard hot water extract; ASMGT: granule tea prepared from sea mustard autoclave extract; WSTGT: granule tea prepared from sea tangle hot water extract; and ASTGT: granule tea prepared from sea tangle autoclave extract) from sea tangle and sea mustard powder. The Color of WSTGT showed the highest $L^*$, $b^*$ values, and the lowest $a^*$ value. The water absorption binding agents in ASMGT were higher than those in WSMGT, WSTGT. and ASTGT. Binding agents on water absorption in ASMGT were higher than those of WSMGT, WSTGT, and ASTGT. The alginic acid content of ASMGT was highest. The total polyphenol and total flavonoid contents of ASMGT and ASTGT were highest. The electron donating ability and ferrous ion chelating activity in WSTGT greatly increased compared to those in the other granules tea variants. These results suggest that pressure extraction can be used in functional foods.

• International Area Studies Review
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• v.17 no.4
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• pp.133-153
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• 2013

This study was to estimate the economic value of Gaecheon Arts Festival in Jinju, Korea. To measure the value of the festival, improved travel cost measurement that applied new weight concept from the Travel Cost Measurement(TCM) proposed by Peares(1972) was used. The total value was evaluated to approximately 2,270.057 billion KRW. The result showed that travel cost items affecting on economic value of the festival were transportation, food and beverage, shopping, accommodation, amusement and entrance fee in order. The effect of accommodation due to the visitors' surplus was small, due to day trip participation trend??. Because accommodation, shopping and entrance fee, therefore, directly affect the regional economy, it is necessary for festival planning party to develop the program for tourist accommodation and so forth. Finally, this study will contribute to the development of local festivals through the more objective, clear comparison and measurement of economic value between local festivals using improved travel cost estimation method.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.1
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• pp.17-28
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• 2019

In the financial investment management strategy, the distributed investment selecting and combining various financial assets is called portfolio management theory. In recent years, the blockchain based financial assets, such as cryptocurrencies, have been traded on several well-known exchanges, and an efficient portfolio management approach is required in order for investors to steadily raise their return on investment in cryptocurrencies. On the other hand, deep learning has shown remarkable results in various fields, and research on application of deep reinforcement learning algorithm to portfolio management has begun. In this paper, we propose an efficient financial portfolio investment management method based on Asynchronous Advantage Actor-Critic (A3C), which is a representative asynchronous reinforcement learning algorithm. In addition, since the conventional cross-entropy function can not be applied to portfolio management, we propose a proper method where the existing cross-entropy is modified to fit the portfolio investment method. Finally, we compare the proposed A3C model with the existing reinforcement learning based cryptography portfolio investment algorithm, and prove that the performance of the proposed A3C model is better than the existing one.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.1-18
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• 2019

Due to the great advances in e-Marketplace and changes in type of items purchased from the online market, it has been dramatically increased the demand of the storage and transportation under the special conditions such as restricted temperature. Especially, the cold chain needs the way to transparently measure and monitor the entire network in realtime because it has a very complicated structure and requires totally different criteria at the every different steps and items. In this research, it has been presented the performance evaluation metrics to make contract using service level agreement (SLA), the way to apply the smart contract based on blockchain, the structure of blocks, service platform and application in order to build cold chain which can prevent the risk factors by measuring and sharing information in realtime using block chain technology. In addition, we have proposed the way to store the measured performance and reputation of each player in the block using smart contract based on SLA. With the presented framework, all players including service providers as well as users can secure the information for making the rational decisions. When the service platform is actually built and operated, it seems possible to secure the information in transparently and realtime. Also, it is possible to prevent the risk factors or prepare the preemptive plans to react on them.

• Journal of Life Science
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• v.31 no.5
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• pp.481-487
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• 2021

The purpose of this study was to identify fungi that degrade product value during the storage and distribution of confectionery products, and to investigate the antifungal effect of organic acid and UV-C treatments on high carbohydrate products. Fungi isolated from spoiled high carbohydrate confectionery were identified as Wallemia sp., Aspergillus sp-1 and Aspergillus sp-2 depending on homologies with ITS1 and ITS4 sequences. The isolated fungi were assayed for antifungal activity by treatment with acetic acid, citric acid, lactic acid or maleic acid. As a result, it was confirmed that the growth of Wallemia sp. and Aspergillus sp-2 was suppressed by treatment with 0.2 M and 0.35 M acetic acid, respectively. In addition, as a result of confirming the antifungal effect according to the UV-C irradiation time, the growth inhibitory effects of Wallemia sp. and Aspergillus sp-2 were shown in irradiation for 30 min and the growth inhibitory effect of Aspergillus sp-1 was shown in irradiation for 40 min. The result of the sensory evaluation of the untreated and 0.35 M acetic acid-treated high carbohydrate confectionery, there were not significant changes in taste, color, abnormal taste, hardness and texture, but there were significant differences in sour taste and smell. As a result of the above study, the effect of inhibiting fungi growth on the product by treatment with organic acid and UV-C irradiation was confirmed, and it is expected to be used in confectionery that were concerned about the occurrence of fungi in the distribution process.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.118-129
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• 2022

The purpose of this report is to study a strategic model of promotion activities through various analysis and sales forecasting by selecting wearable products for domestic online companies and collecting sales data. For data analysis, various algorithms are used for analysis and the results are selected as the optimal model. The gradation boosting model, which is selected as the best result, will allow nine independent variables to be entered, including promotion type, price, amount, gender, model, company, grade, sales date, and region, when predicting dependent variables through supervised learning. In this study, the review values set as dependent variables for each type of sales promotion were studied in more detail through the ensemble analysis technique, and the main purpose is to analyze and predict them. The purpose of this study is to study the grades. As a result of the analysis, the evaluation result is 95% of AUC, and F1 is about 93%. In the end, it was confirmed that among the types of sales promotion activities, value-added benefits affected the number of reviews and review grades, and that major variables affected the review and review grades.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.197-213
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• 2022

In this study, text mining analysis was performed on online big data for recognition and assessment of urban brand I Seoul U. To this end, TEXTOM, a processing program for data acquisition and analysis was used, and the 'I SEOUL U' keyword was selected as an analysis keyword. Keyword analysis shows the keywords associated with I Seoul U to be as follows: First, as a business and marketing term, keywords include pop-up store, gallery, co-branding, (festival, etc.), commodities, private companies and online. Second, as an event-related term, keywords include Han River, tree-planting day, tree planting, Hongdae, Christmas, Mapo, Jung-gu, Sejong University, and festival. Third, as a promotional term, keywords include robotics engineer Dr. Dennis Hong, Government, Art and Korea. In the N Gram analysis, as the city brand of Seoul, I Seoul U, in the public interest, was found to contribute to the commercial activities of private companies. In connection-oriented analysis, business and marketing, events, and promotions have been derived as categories. In matrix analysis, it was found that the products of the pop-up store are mainly developed, and products in the form of co-branding were being developed. In the topic modeling, a total of 10 topics were extracted and needs for commercial utilization and information for event festivals were mostly found.