• Korean Journal of Food Science and Technology
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• v.40 no.1
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• pp.21-30
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• 2008

In this study, the antioxidant activities of 27 medicinal herbs and plants were measured. The dried medicinal herbs and plants were pulverized and extracted by water, 15% ethanol, and 45% ethanol, respectively at above $80^{circ}C$ for 90 minutes. The original and diluted extracts were tested for their antioxidant activities by 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical-scavenging activity assay. Cornus officinalis (C) and Scutellaria baicalensis (S) were selected to develop rice wines with higher antioxidant activities, based on the result of the 45% ethanol extraction. The rice wine developed using sample showed the highest antioxidant activity as comparing to those of other commercial rice wines. The rice wine samples were analyzed for titratable acidity, pH, $^{\circ}Brix$, reducing sugar content, color (L, a, b), amino-acidity, and ultraviolet absorption. The preferences for color, aroma, and overall acceptability were determined using a 9-point hedonic scale by 150 consumers. The sweetness, sourness, fruitiness, color, and medicinal herb-taste levels of the developed rice wines were also evaluated, using a 9-point just-about-right scale. The mean overall acceptability score of c (5.54) was higher than that of sample S. Based on the results, the sourness and medicinal herb-taste levels of sample s should be modified to higher levels, and the fruitiness of sample S also needs to be adjusted. For a future study, the final compositions of the developed rice wines will be adjusted for product launching based on the preference test data acquired in this study.

• KDI Journal of Economic Policy
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• v.14 no.2
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• pp.189-203
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• 1992

Any money model should address the most important phenomenon of a monetary economy, which is the phenomenon of the rate of return dominance. Even if the holding returns on financial or nonfinancial assets are higher than the rate of return on fiat money holding, which is typically zero, people still hold and use money. In a period of accelerating inflation, number of dominating assets increases continuously, yet people continue to hold and use money. Wallace's (1980) overlapping generations model cannot address the rate of return dominance phenomenon. His model does not capture the mediun of exchange role of fiat money. In this paper, an overlapping types model of fiat money is constructed, in which different types of consumers have different preferences on different types of goods, are endowed with different types of goods, are located at seperated regions, and live for only two periods. In this model, people hold and use money despite the dominating assets, even if inflation accelates. Money in this case serves as a pure medium of exchange, whereas in Wallace's model, money serves as a pure store of value, and money disappears if a dominating asset exists. An interesting feature of the overlapping types model presented in this paper is that money does not provide a cheap approximation to an idealized and efficient real allocation. A monetary economy is always superior to a nonmonetary economy, because money helps overcome the incompleteness of the overlapping types friction. In a monetary economy, however, a pareto optimal allocation cannot always be achieved, because money cannot always overcome the overlapping types friction itself. Therefore, with the criterion of optimality of real allocations, the monetary economy is more optimal than a nonmonetary economy but less optimal than a complete Arrow-Debreu economy. This feature has important implications on macro modelling. Because of the difficulty in introducing money into a macro model in an essential and endogenous manner as in the overlapping types model of this paper, a macro model typically ignores money and studies real allocations without the money factor. The possible inefficiencies of a monetary economy, relative to a complete real Arrow-Debreu economy, may indicate differences in real allocations between the two models.

• Korean Journal of Food Science and Technology
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• v.40 no.2
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• pp.160-165
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• 2008

This study was conducted to analyze sensory profiles of commercial sojues using a standardized sensory evaluation procedure, and to investigate the effects of sensory characteristics and brands on consumer liking for soju. Descriptive analysis and consumer taste testing were conducted for seven commercial sojues. For the descriptive analysis, eight panelists generated and evaluated 12 flavor and one pain-sensation attributes for the soju, and there were significant differences among the soju samples for all the 13 sensory attributes. For the descriptive data, principal component analysis was performed to summarize the sensory characteristics of the sojues. For the consumer testing, 224 soju drinkers (20-29 year-olds) were recruited and randomly divided into two groups; a blind group and a group with the knowledge of brand. While the hedonic ratings obtained from the blind group didn't indicate significant differences among the sojues, the ratings obtained from the brand-informed group showed significant differences. Finally, the individual preferences of the 112 consumers in each group were investigated by preference mapping techniques.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.1
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• pp.160-164
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• 2015

The effects of different ingredient formulations on physicochemical qualities and consumer preferences were investigated using Baikseolgi incorporated with pomegranate concentrate (PC), a healthy food ingredient, as a model system. PC was incorporated into the formulation at five different amounts [0%, 1.6%, 3.3%, 5%, and 6.6% (w/w)] by replacing the equivalent amount of water added. After appropriate mixing, rice cakes were steamed and quality attributes were evaluated after cooling. The pH decreased while moisture content increased significantly with increased PC substitution (P<0.05). Lightness decreased significantly from 82.33 to 65.09 with higher incorporation of PC (P<0.05), indicating that the color of Baikseolgi became darker. Redness and yellowness, on the other hand, increased significantly (P<0.05). Hardness gradually increased as the PC content increased in the formulation (P<0.05). In addition, DPPH and ABTS radical scavenging activities increased significantly (P<0.05), and they were well correlated. The overall consumer acceptance results indicate that incorporation of 1.6% PC in the formulation of Baikseolgi is recommended to take advantage of the health benefits of PC without sacrificing quality acceptance by consumers.

• Journal of agriculture & life science
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• v.46 no.1
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• pp.207-215
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• 2012

In this study, we performed to select the high growth potential agri-products in Ulsan City, Korea. For this, we carried out the location quotient and the regional growth rate differential analyses using the cultivated area data and the agricultural output data in 2000, 2005 and 2007. The location quotient analysis revealed that rice, pear and persimmon were classified as specialized agri-products. These results would be useful to reflect on a short-term policy in support for the agricultural activities of the local farmers because the specialized agri-products occupy a relatively high proportion in the region. In addition, the regional growth rate differential analysis showed that strawberries, persimmon, potatoes, corn and sweet potato are classified as growing agri-products whereas pear is classified as a competitive agri-product in the analysis based on agricultural output from 2000 to 2007. Based on cultivated area, strawberries, potatoes and corn are classified as growing agri-products whereas sweet potato is classified as a competitive agri-product. These results would be beneficial to establish a long-term agricultural policy in Ulsan City because these agri-products are further supported by the time series analysis, considering the nationwide trends and the production activities reflecting the preferences of consumers and the willingness of producers.

• The Journal of Bigdata
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• v.3 no.2
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• pp.19-33
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• 2018

Owing to the increase of FTA, food trade, and versatile preferences of consumers, food import has increased at tremendous rate every year. While the inspection check of imported food accounts for about 20% of the total food import, the budget and manpower necessary for the government's import inspection control is reaching its limit. The sudden import food accidents can cause enormous social and economic losses. Therefore, predictive system to forecast the compliance of food import with its preemptive measures will greatly improve the efficiency and effectiveness of import safety control management. There has already been a huge data accumulated from the past. The processed foods account for 75% of the total food import in the import food sector. The analysis of big data and the application of analytical techniques are also used to extract meaningful information from a large amount of data. Unfortunately, not many studies have been done regarding analyzing the import food and its implication with understanding the big data of food import. In this context, this study applied a variety of classification algorithms in the field of machine learning and suggested a data preprocessing method through the generation of new derivative variables to improve the accuracy of the model. In addition, the present study compared the performance of the predictive classification algorithms with the general base classifier. The Gaussian Naïve Bayes prediction model among various base classifiers showed the best performance to detect and predict the nonconformity of imported food. In the future, it is expected that the application of the abnormality detection model using the Gaussian Naïve Bayes. The predictive model will reduce the burdens of the inspection of import food and increase the non-conformity rate, which will have a great effect on the efficiency of the food import safety control and the speed of import customs clearance.

• Journal of Mushroom
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• v.20 no.4
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• pp.218-226
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• 2022

Flammulina velutipes, known as winter mushroom in the family of Physalacriaceae, is the main edible and export mushroom with the third highest production after oyster and king oyster mushroom in Korea. However, as normal consumers regard F. velutipes as a simple subsidiary material, there is a limitation to increasing mushroom demand. In order to overcome the consumption limit and increase the differentiation of new varieties, it is necessary to breed varieties with enhanced functionality in consideration of consumer preferences. Therefore, the study was performed to analyze nutrient components and several useful functional substances with 26 genetic resources of F. velutipes. Analyses of inorganic compound(Ca, K, Mg) and 15 amino acids revealed that Strain 4148 had the highest content among the 26 strains. Beta-glucan, which increases immune activity and polyphenol, which exert antioxidant effects were higher in non-white strains than in white strains with a small number of exceptions. Among the five fatty acids, linoleic acid(an omega-6 fatty acid) and α-linolenic acid(an omega-3 fatty acid), were detected in six mushroom strains. α-linolenic acid, which was not found in five major mushrooms including oyster mushrooms, was identified in F. velutipes. The results of HPLC analysis showed that 'Auram' (Strain 4232) and 'Baekseung'(Strain 4230) had the highest content of the stabilizing neurotransmitter GABA(15.38 ㎍/ml and 20.56 ㎍/ml, respectively) among non-white and white strains, respectively. Our findings provide useful information for breeding F. velutipes to obtain strains with enhanced functionality.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.748-756
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• 2021

In this study, as the first attempt to develop an experiential game tourism program using Korean classical literature, the primary research was conducted on Kim Soo-Jang and his anthology "Hae Dong Ga Yo". To this end, a theoretical review of the value of hands-on games and Korean classical literature as tourism content was conducted first. Afterwards, the consumers for the program were set up into three categories: family unit, MZ generation including lovers, and foreigners. A survey was conducted to confirm the program preference of each group. According to the analysis framework, the main value of each historical and cultural resource in "Hae Dong Ga Yo" and seven sijo pieces created by Kim Soo-Jang was discovered and, based on the survey, the preferences of the consumer related to the target were analyzed. Accordingly, the narrative structures were organized differently for each group. An adventure plot was designed for the family unit, a love plot for MZ generation and lovers, and a mixture of adventure and love for foreigners. Utilizing stories from Kim Soo-Jang and his works, which are rarely used despite their value, this study attempted to develop them into hands-on game tourism programs to create new outlets in terms of both Korean classical literature and the tourism area. In the future, if various Joseon literati are discovered and their storytelling is continued, we can expect the vitalization of the travel product line with the concept of classical literature travel.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.80-93
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• 2022

This study is a study on a methodology that can extract various factors that affect purchase and use of products/services from the consumer's point of view through previous studies, and analyze the types and tendencies of consumers according to age and gender. To this end, we quantify factors in terms of general personal propensity, consumption influence, consumption decision, etc. to check the consistency of data, and based on these studies, we conduct research to suggest and prove data analysis methodologies of consumer types that are meaningful from the perspectives of startups and SMEs. did As a result, it was confirmed through cross-validation that there is a correlation between the three main factors assumed for data analysis from the consumer's point of view, the general tendency, the general consumption tendency, and the factors influencing the consumption decision. verified. This study presented a data analysis methodology and a framework for consumer data analysis from the consumer's point of view. In the current data analysis trend, where digital infrastructure develops exponentially and seeks ways to project individual preferences, this data analysis perspective can be a valid insight.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.435-452
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• 2023

This study was conducted for a systematic literature review according to the period, subject, and research method for 198 papers related to tattoo and semi-permanent makeup published from 1979 to 2022. By period, it was divided into the first period (1979-1994), the second period (1995-2005), the third period (2006-2012), and the fourth period (2013-2022). In the first period, research on health and medical aspects was the main focus, and in the second period, studies in various aspects such as art and culture began to appear. The 3rd period was characterized by increased research on semi-permanent makeup, and the 4th period was marked by a rapid increase in research on tattoos and semi-permanent makeup. By research topic, it was analyzed by dividing it into health and medical care, beauty, fashion and art, society and culture, law and system. As a result, cosmetic studies were most actively conducted to identify consumers' preferences and perceptions, and health and medical studies were the second most common. Recently, as the need for legalization has increased, studies related to laws and systems have increased rapidly, and studies on culture, history, and fashion have also been conducted. By research method, survey research were used the most, and various methods such as literature study and case studies were also used. This study is expected to further promote follow-up research in the future and contribute to the development of related industries.