• Journal of the Korean Institute of Gas
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• v.25 no.1
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• pp.30-39
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• 2021

Natural gas is globally emerging as an important energy source for environmental, political and regional reasons. In Korea, natural gas imported from oversea natural gas resources as a LNG, it is increased for an applications as a fuel and feedstock which replace the coal and nuclear energy. Because it is relied on the import market in Korea, it is very important to analyze the security for supply. Therefore, this study suggested a method for reducing supply risk and for providing stable supply and demand through risk analysis of Korea's import structure. In order to reduce the supply risk, the concentration of importing countries should be lowered and it is necessary to lower the proportion of countries with relatively low GSSI and increase the imports from Russia. Finally increasing the number of importing countries or maintaining friendly relations with countries where the supply is stable could give us the positive impact in terms of total GSSI.

• Acta Via Serica
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• v.6 no.2
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• pp.117-140
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• 2021

At the beginning of the Roman imperial period, moralizing authors criticized a material from the East that quickly gained popularity among the elites: silk. During Late Antiquity, the trade, production, and use of purple-dyed silks increasingly became the privilege of the emperors. While literature, court poetry, and laws give insights into the discourses surrounding silk, they are rather unspecific concerning silk qualities. This contribution analyzes the scattered descriptions of silks in Greek and Latin texts in a diachronic perspective, with a focus on the 1^st cent. BCE to the 4th cent. CE, paying particular attention to the terminology, products, origins, and qualities of silk. The aim is to build a framework for comparisons with archaeological silk finds and other textile terminologies along the Silk Roads. Here, the silk finds from the oasis city of Palmyra/Tadmor in modern-day Syria, dating from the 1st cent. BCE to the 2nd cent. CE, will be used as a case study for the early imperial period. Taking these silk finds as a comparison, it will be shown that Greek and Latin terminology does not match the variety of silks known in the Mediterranean. Rather, linguistic differentiations focus on the forms in which silk reached the Mediterranean, as skeins, yarns, and fabrics, as well as on the different kinds of silks that were produced in the West, namely pure silk and half-silken fabrics, checkered "scutlata" damasks, purple-dyed, and gold-embellished silks. In contrast, silks from the East were subsumed under the term for "silks from the silk people" or simply "silks". Moreover, ancient authors do not use the terms in the same way. These findings show the limitations of Western silk terminology and the importance of combining archaeological and written sources.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.285-292
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• 2022

This study examined the effects of professionalism and critical thinking disposition on job competency in nursing service workers. Furthermore, we explored the interactive impact of critical thinking disposition in terms of component factors in the relationship between the influence of professionalism on job performance. Our research results were as follows. First, we found that the self-concept of the profession and originality of the job in the professional view has a significant effect on job performance. Second, we discovered that systematicity and objectivity in the critical thinking disposition significantly affect job performance. Third, we found an interaction effect between each component of professionalism and critical thinking disposition. This study is significant because it is approached from the perspective of components of professionalism and the critical thinking disposition to improve job performance. In addition, the results of this study will contribute to the management of professionalism and essential dispositions of thinking to enhance nursing service workers' job performance.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_3
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• pp.1183-1190
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• 2022

Recently, the Ministry of Strategy and Finance announced a plan to reduce the proportion of economic evaluation in non-metropolitan areas and strengthen balanced development evaluation through the reorganization of the preliminary feasibility study system. In addition, the social value of the quality of life, such as job, environment, and safety, which may be affected by the implementation of transportation facility investment projects, was reflected as the main item of policy evaluation. In this study, the ripple effect of the project in terms of social value was reviewed for the Gangil-Chuncheon. The effect of highway opening was investigated by reviewing the feasibility report, post-evaluation report, and statistical indicators. Recently, the Gangil-Chuncheon highway is getting used by around 110,000 people per day. The number of tourists in Chuncheon rapidly has increased from 5 million a year to more than 11 million now. In addition, it was confirmed to produce effects such as population migration, net inflow and land price increase, improvement of living convenience, and expansion of emergency medical care. Although this ripple effect was influenced by various socio-economic factors as well as the opening of the highway, it is clear that it is difficult to occur without the opening of the highway. It is judged that the evaluation of indirect benefits and social values due to the opening of the highway can be quantified through continuous research and data construction. Post-evaluation of construction works, including project efficiency evaluation and ripple effect evaluation, is performed for construction works with a construction cost of more than 50 billion won. In the future, we will continuously improve the evaluation system in order to evaluate the indirect benefits and social values of public investment projects.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.1
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• pp.65-70
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• 2022

As fast storage has become popular, the memory management system designed for hard disks needs to be reconsidered. In this paper, we observe that memory access latency is sensitive to the page size when fast storage is adopted. We find the reason from the TLB miss rate, which has the increased impact on the memory access latency in comparison with the page fault rate, and there is trade-off between the TLB miss rate and the page fault rate as the page size is varied. To handle such situations, we model the page fault rate and the TLB miss rate accurately as a function of the page size. Specifically, we show that the power fit and the exponential fit with two terms are appropriate for fitting the TLB miss rate and the page fault rate, respectively. We validate the effectiveness of our model by comparing the estimated values from the model and real values.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.6
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• pp.978-985
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• 2021

This study aims to propose a prediction model for the drape coefficient using artificial neural networks and to analyze the nonlinear relationship between the drape properties and physical properties of fabrics. The study validates the significance of each factor affecting the fabric drape through multiple linear regression analysis with a sample size of 573. The analysis constructs a model with an adjusted R² of 77.6%. Seven main factors affect the drape coefficient: Grammage, extruded length values for warp and weft (m_warp, m_weft), coefficients of quadratic terms in the tensile-force quadratic graph in the warp, weft, and bias directions (c_warp, c_weft, c_bias), and force required for 1% tension in the warp direction (f_warp). Finally, an artificial neural network was created using seven selected factors. The performance was examined by increasing the number of hidden neurons, and the most suitable number of hidden neurons was found to be 8. The mean squared error was .052, and the correlation coefficient was .863, confirming a satisfactory model. The developed artificial neural network model can be used for engineering and high-quality clothing design. It is expected to provide essential data for clothing appearance, such as the fabric drape.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.66-83
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• 2022

Artificial Intelligence (AI) is to assumed to be one of next generation technology which determine technological competitiveness and strategic advantage of a certain country. By using the patent data, this study aims to have a comparative analysis of the technological competitiveness of evolving artificial intelligence at different stages of development among the five largest intellectual property offices in the world (IP5). For the analysis data, all AI technology patent data from 1956 to 2019 were utilized according to the classification system presented in the "WIPO 2019 Technology Trend: Artificial Intelligence" report published by the World Intellectual Property Organization (WIPO) in 2019. The results shows that China has already surpassed the United States in terms of the number of patent applications in the field of artificial intelligence technology. However, in the domains of the United States, Europe, Japan, and Korea, the technology competitiveness of the United States is far ahead of China. Interestingly, the rate of increase of Korea's technology competitiveness is also very fast, and it has been shown that the technology strength is ahead of China in non-Chinese domains. The significance of this study can be found in the fact that the temporal and spatial change process of technological competitiveness of significant countries in the field of artificial intelligence technology artificial intelligence was viewed as a macro-framework using the technology index (TS) the differences were compared.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.323-329
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• 2022

Although the National Intelligence Service Act has been amended considering the growing importance of economic counterintelligence, a clear interpretation of certain provisions and improvement of the effectiveness of economic counterintelligence are required. This article presents some suggestions for regulations on economic counterintelligence. Firstly, the meaning of the term "disturbance of economic order in connection with foreign powers" will become clear by interpreting it with the terms of the Counterintelligence Duty Regulation and by setting categories referring to the U. S. regulations. Secondly, counterintelligence authorities' request for cooperation may be reinforced by amending relevant regulations or by applying a special procedure for the acquisition of data. Finally, strengthened punishment for activities in connection with foreign powers may improve the efficiency of counterintelligence.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.5
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• pp.675-684
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• 2017

Geographical Identification (GI) regulation is not common in Korea. Although studies on the regulation recently have been conducted, there is a lack of academic discussion about its domestic introduction and activation plan. GI regulation has advantages in terms of activation of local industry, consumer protection, and economic efficiency. Moreover, the quality of agricultural and marine products in Korea is not lower than that in Europe to apply GI regulation. Therefore, it is necessary to establish the regulation in Korea through the review of the reference cases. This study examines the status of GI regulation and policies in Korea and foreign countries for the protection of domestic liquor industry. This study also provides suggestions to achieve the growth of domestic Makgeolli through GI regulation as if the liquors representing a country such as French wine, Japanese sake, and German beer are being loved around the world.

• Journal of the Society of Naval Architects of Korea
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• v.60 no.3
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• pp.202-211
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• 2023

The profile shops in shipyards produce section steels required for block production of ships. Due to the limitations of shipyard's production capacity, a considerable amount of work is already outsourced. In addition, the need to improve the productivity of the profile shops is growing because the production volume is expected to increase due to the recent boom in the shipbuilding industry. In this study, a scheduling optimization was conducted for a parallel welding line of the profile process, with the aim of minimizing tardiness and the number of set-up changes as objective functions to achieve productivity improvements. In particular, this study applied a dynamic scheduling method to determine the job sequence considering variability of processing time. A Markov decision process model was proposed for the job sequence problem, considering the trade-off relationship between two objective functions. Deep reinforcement learning was also used to learn the optimal scheduling policy. The developed algorithm was evaluated by comparing its performance with priority rules (SSPT, ATCS, MDD, COVERT rule) in test scenarios constructed by the sampling data. As a result, the proposed scheduling algorithms outperformed than the priority rules in terms of set-up ratio, tardiness, and makespan.