• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.20 no.10
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• pp.679-688
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• 2008

Air-heating vaporizer usually is used to regasify LNG at satellite areas because of the small demand of natural gas there. The common type of air heating vaporizer which exists in the market is the longitudinally finned type with 8 fins, 55 mm fin length and 2mm fin thickness. To contribute in developing an efficient air-heating vaporizer, experiment on finned type air-heating vaporizer using 8 fins, 50mm(fin length) with 2 mm(fin thickness) which exist in the market and 4 fins, 75 mm(fin length) with 2 mm(fin thickness), which is proposed, were conducted. Then, both types of vaporizers are compared. The experiments were conducted in one hour by varying the ambient condition and the length of the vaporizer. The ambient air was controlled so that it has the same temperature, humidity and air velocity with air condition in every season available and the length was varied 4000 mm, 6000 mm and 8000 mm for each type of vaporizer. Additional experiment with longer duration, i.e. In this experiment, the main aspects in analyzing the characteristics of the air heating vaporizer the inlet-outlet enthalpy difference and the outlet temperature of the working fluid. $LN_2$ is used to substitute LNG because of safety reason. The results show that the characteristics of the finned type 4fin75le vaporizer are comparable to finned type 8fin50le vaporizer.

• Journal of Korea Trade
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• v.25 no.5
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• pp.1-18
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• 2021

Purpose - Although Korean food export has been increasing, they will stagnate without markets. This study considers Korean halal food exports to Indonesia and Malaysia, which are two of the largest halal food markets. Given the context, this study aims to predict Indonesian and Malaysian consumers' purchase intention toward Korean halal food through their acceptance of and feeling toward Korea's image. Design/methodology - This study surveyed Indonesian and Malaysian consumers who purchased Korean halal food in the past year. The survey data were analyzed using the statistical package for the social sciences 21.0 and the analysis of moment structures 21.0. Findings - The analysis reveals that the feeling toward Korea's image and its food image significantly impacted attitudes and subjective norms, while the acceptance of Korea's image significantly impacted only subjective norms. Attitude showed no significant effect on purchase intention, whereas subjective norms exhibited a significant effect on purchase intention. The image feeling had a greater impact on attitudes in Indonesia than those in Malaysia, whereas image acceptance showed a greater influence on subjective norms in Malaysia than those in Indonesia. Originality/value - This study considers the difference between Indonesian and Malaysian consumers in relation to their acceptance of and feeling toward Korea's image and its halal food image. These findings on Korea's image can play a key role in establishing Korea's food export strategy and have strategic implications on Korean companies aiming to enter the halal food market or increase their market share.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.161-167
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• 2021

This study was conducted for the purpose of comparing the advertising effect of Korean companies and Vietnamese domestic companies by applying the balance theory to Vietnamese consumers emerging as a new market for Korean companies. An experiment was conducted on female university students, and cognitive, emotional, and behavioral responses to advertisements in the two countries were investigated. The results showed that there was no difference in the cognitive dimension of Vietnamese consumers' evaluation of advertisements in Korea and Vietnam, but there is a difference in the emotional dimension and the behavioral dimension. This study contributed theoretically to the possibility of applying the balance theory to the study of international advertising effects, and the implications of international advertising of Korean companies in the underdeveloped markets were discussed.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.799-809
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• 2018

This study was performed to compare the physicochemical characteristics between imported dry-cured Hams from black and white pigs available in the domestic market. The black dry-cured hams contain higher moisture and ash contents than that of white hams, whereas the black dry-cured hams had lower fat contents than that of the black ones (p < 0.05). The hams from black ones had lower lightness ($L^*$) and yellowness ($b^*$) values than those from the white ones (p < 0.05). Moreover, the pH values and salt contents of the hams from the black ones were higher than those from the white ones (p < 0.05). Moreover, the black ones had a higher water holding capacity (WHC) than that of the white ones (p < 0.05). The thiobarbituric acid reactive substances (TBARS) values of the black ones were lower than those of the white ham samples (p < 0.05). For texture profile analysis, hardness, gumminess, chewiness, cohesiveness and shear force values were significantly lower in the black ones than in the white samples (p < 0.05). Saturated fatty acids in the white ones were higher than in the black ones, whereas unsaturated fatty acids in the black ones were higher (p < 0.05). Free amino acids such as aspartic acid and glutamic acid in the black ones were higher than in the white ones (p < 0.05). The shrinkage of muscle fiber was stronger in the white ones. Considering the meat quality parameters of ham, the black ones showed a superior meat quality. In general, this research can be used as fundamental information for the mass production of dry-cured hams in Korea.

• Journal of Society of Preventive Korean Medicine
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• v.23 no.1
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• pp.1-13
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• 2019

Backgrounds : The market of Complementary Alternative Medicine(CAM) in the United State(U.S.) accounts for a large proportion of the global CAM market and has a high growth rate. The recent introduction of Obama Care has brought the change in the health insurance system for CAM, and we need to analyze it for its implication to Korean system. Objectives : The purpose of this study is to investigate the current status of acupuncture and chiropractic health insurance in the U.S., and to draw implications for expanding the health insurance coverage for Korean traditional medicine through the comparison between the U.S. and Korean health insurance systems. Methods : We examined the data through the literature search and from the websites of both U.S. government departments and related organizations for the health insurance policy. Based on the collected data, we analyzed its CAM health insurance system in Korea. Results : The acupuncture covered by public health insurance in the U.S. has a limit in the number of treatments and a range of applied diseases compared with Korea. In addition, the practice of acupuncture is not subdivided. However, the chiropractic in the U.S. which also has a limited number of coverage and only three categories of practices are similar to that of Korea. Conclusions : Although the use of CAM by public health insurance is not active in the U.S., but the organizations such as Veterans Health Administration in Vermont is already discussing the use of acupuncture to solve the problem of opioid overuse. Thus Korea also needs to discuss to promote the expansion of the insurance system for CAM.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.249-258
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• 2021

Bitcoin prices have been soaring recently as investors flock to cryptocurrency exchanges. The purpose of this study is to predict the Bitcoin price using a deep learning model and analyze whether Bitcoin is profitable through investment strategy. LSTM is utilized as Bitcoin prediction model with nonlinearity and long-term memory and the profitability of MA cross-over strategy with predicted prices as input variables is analyzed. Investment performance of Bitcoin strategy using LSTM forecast prices from 2013 to 2021 showed return improvement of 5.5% and 46% more than market price MA cross-over strategy and benchmark Buy & Hold strategy, respectively. The results of this study, which expanded to recent data, supported the inefficiency of the cryptocurrency market, as did previous studies, and showed the feasibility of using the deep learning model for Bitcoin investors. In future research, it is necessary to develop optimal prediction models and improve the profitability of Bitcoin investment strategies through performance comparison of various deep learning models.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.235-240
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• 2021

Recently, the number of users has risen sharply while the development speed of the Chinese game industry is rapidly developing. The game industry has already become a promising industry in China's cultural industry. With the rapid development of the Chinese game industry, the demand for specialized game designers and game development personnel is urgent. Still, at present, it is difficult for graduates to get a job at a game company every year even if a new game design department is established at a Chinese university. This may be due to a conflict between the education of the game major in the game market. In this paper, we present a customized development strategy while summarizing the problems that existed in the Chinese game design department in the rapidly developing background of the game industry, Try to provide a valuable opinion. and use it as a reference for the future development of education in the Chinese game major.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.123-130
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• 2021

With the recent developments in computer technology, there has been an increasing interest in the field of machine learning. This also has led to a significant increase in real business cases of machine learning theory in various sectors. In finance, it has been a major challenge to predict the future value of financial products. Since the 1980s, the finance industry has relied on technical and fundamental analysis for this prediction. For future value prediction models using machine learning, model design is of paramount importance to respond to market variables. Therefore, this paper quantitatively predicts the stock price movements of individual stocks listed on the KOSPI market using machine learning techniques; specifically, the reinforcement learning model. The DQN and A2C algorithms proposed by Google Deep Mind in 2013 are used for the reinforcement learning and they are applied to the stock trading strategies. In addition, through experiments, an input value to increase the cumulative profit is selected and its superiority is verified by comparison with comparative algorithms.

• International Area Studies Review
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• v.14 no.2
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• pp.297-323
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• 2010

The distinguished feature of the economic relationship between China and Africa during the cold war is the one that there was economic point of view at all even though such a huge trade between the two countries. It was caused by purely ideological and political purpose of China. because of the giant stream of time which is called as 'the cold war', it has been replaced with other conceptions: 'aid' or 'support.' Since the end of the cold war, however, the relationship between China and Africa has been showing noticeable features; political and ideological purposes are getting less meaningful or excluded completely. In 1990, China was based on the pragmatism, which is a rigorous sense of economy, and Africa was getting popular as an emerging market, which is not only performing as a stable energy supplier but also making trade and direct investment is possible. Also, it has implications for Korea that seriously considers putting more efforts into expanding its influence on all over the trade relations which includes investment and import-export in the emerging market: Africa.

• Journal of IKEEE
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• v.26 no.3
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• pp.355-363
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• 2022

Korea is pursuing a plan to switch and expand energy sources with a focus on renewable energy with the goal of becoming carbon neutral by 2050. As the instability of energy supply increases due to the intermittent nature of renewable energy, accurate prediction of the amount of renewable energy generation is becoming more important. Therefore, the government has opened a small-scale power brokerage market and is implementing a system that pays settlements according to the accuracy of renewable energy prediction. In this paper, a prediction model was implemented using a statistical model and an artificial intelligence model for the prediction of solar power generation. In addition, the results of prediction accuracy were compared and analyzed, and the revenue from the settlement amount of the renewable energy generation forecasting system was estimated.