• Journal of Fashion Business
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• v.18 no.6
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• pp.67-85
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• 2014

This study compares and analyzes the fashion industry of Korea with that of China and Japan, the two countries geographically and culturally adjacent to Korea, by applying the generalized double diamond model to find useful measures to strengthen the global competitiveness of the Korean fashion industry. The fashion industries of Korea, China and Japan were first compared in terms of the four determinants of the double diamond model: thereafter, the double diamond model of Korea, China and Japan were compared. In this, study 31 sub-variables were extracted to measure the eight determinants and secondary data were collected from selected sources between January 2013 and May 2014. The results of comparing the domestic diamond models showed that: China is considerably better than Korea and Japan in terms of demand conditions, firm strategy, organization, and competition conditions while Japan is superior in terms of demand conditions and Korea shows better related and supporting industries conditions. When comparing and analyzing the international diamond models, Japan is superior in terms of factor conditions and China has better demand conditions, while Korea has failed to lead in any of the four determinants. When comparing and analyzing the comprehensive diamond model per country, China show superior demand conditions and firm strategy, organization, and competition conditions, Japan has better factor conditions, and Korea shows superior related and supporting industries conditions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.88-90
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• 2011

The IHO(International Hydrographic Organization) has developed the S-100 standard as a universal hydrgraphic data model for consistent use and application of various hydrographic data and sources, and is developing the product specification standards. The organization modified this standard to reflect the requirements of application parts, detailed the insufficient contents for products. In this study, the trend and recent requirement of S-100 standard were analyzed. Also, a method of managing S-100 standard was completed based on the analysis of S-100 application.

• Journal of Korea Trade
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• v.27 no.1
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• pp.192-210
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• 2023

Purpose - Vietnam has the fastest growing digital economy in Southeast Asia and is emerging as a critical overseas market for Korean banks in the post-COVID-19 era. Accordingly, many Korean banks entered the Vietnamese market to overcome the limitations of the saturated domestic financial market and create new revenue sources. This study examined the current status of digital finance in Vietnam and the cases of Korean banks that have succeeded in the Vietnamese market. Then, importance-performance analysis (IPA) was conducted on local customers, managers and staff members of Korean banks in Vietnam. Design/methodology - In this study, we analyzed the importance and satisfaction factors of mobile banking app usage in Vietnam through IPA. In particular, we identified the differences between the two groups by considering the viewpoint of customers who use mobile banking apps and that of managers and staff members who provide mobile banking services. Findings - The IPA results from the customer group and managers and staff members group were generally similar, but differences were observed in Ease of Use (Technology), Innovativeness (Organization), and Increase in Revenue (Economic). In the case of the customer group, Ease of Use (Technology) is located in the second quadrant, which shows low satisfaction compared to high importance. However, in the managers and staff members group, Ease of Use (Technology) is located in the first quadrant, which indicates high importance and high satisfaction. This difference in perception can cause complaints from local customers; thus, it is necessary to change the perception of the technological aspect for ease of use of mobile banking apps in consideration of the customer's position. In addition, it is necessary to allocate the resources invested in the Innovativeness (Organization) and Increase in Revenue (Economic) to Ease of Use (Technology). Originality/value - In this study, based on the HOTE framework, factors for using mobile banking apps were derived, and IPA was conducted targeting local customers (app user) and managers and staff members (app provider) of Korean banks in Vietnam. Through this, we presented the results of empirical analysis that can help Korean banks efficiently utilize limited resources and budgets.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.185-196
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• 2018

Based on World Health Organization (WHO) children and adults have a problem with their oral health, such as Dental cavities and periodontal disease. It is not easy to obtain the high convince level of result of the dental and periodontal diseases. Because each of them have different degrees of uncertainty and there have several discounting factors (error rates) in different of survey. To solve this problem we propose the Dezert-Smarandache Theory (DSmT) for efficient combination of uncertain, imprecise and highly conflicting sources of information. Moreover, we apply the SEFP as a context reasoning. Finally, we make the simulation by using 12 surveys and compare Propotional Conflict Redistribution 5 (PCR5) and Dempster-Shafer Theory (DST) to show the belief or probability for the low, a heavy, high and ultra-high risk situation.

• Genomics & Informatics
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• v.20 no.1
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• pp.10.1-10.15
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• 2022

Human exposure to pollutants has been on the rise. Thus, researchers have been focused on understanding the effect of these compounds on human health, especially on the genetic information by using various tests, among them the somatic mutation and recombination tests (SMARTs). It is a sensitive and accurate method applicable to genotoxicity analysis. Here, a comprehensive bibliometric analysis of SMART assays in genotoxicity studies was performed to assess publication trends of this field. Data were extracted from the Web of Science database and analyzed by the bibliometric tools HistCite, Biblioshiny (RStudio), VOSViewer, and CiteSpace. Results have shown an increase in the last 10 years in terms of publication. A total of 392 records were published in 96 sources mainly from Brazil, Spain, and Turkey. Research collaboration networks between countries and authors were performed. Based on document co-citation, five large research clusters were identified and analyzed. The youngest research frontier emphasized on nanoparticles. With this study, how research trends evolve over years was demonstrated. Thus, international collaboration could be enhanced, and a promising field could be developed.

• Journal of the Society of Naval Architects of Korea
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• v.51 no.5
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• pp.396-408
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• 2014

In this study, uncertainty analysis based on ITTC(International Towing Tank Conference) Recommended Procedures is carried out in the towing-tank experiment for motion responses and added resistance. The experiment was conducted for KVLCC2 model in head sea condition. The heave, pitch and added resistance were measured in different wave conditions, and the measurement was repeated up to maximum 15 times in each wave condition in order to observe the uncertainty of measured data. The uncertainty analysis was carried out by adopting the ISO-GUM(International Organization for Standardization, Guide to the Expression of Uncertainty in Measurements) method recommended by ITTC. This paper describes the details about the analysis method, uncertainty and the measured uncertainty for each source. The uncertainty analysis results are summarized as a tabular form. To validate the accuracy of the present measurement, the experimental results are compared with the results of numerical computation and other experiment. From the present uncertainty analysis, the main sources of uncertainty are identified, which can be very useful to improve the accuracy for added resistance experiment.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.331-337
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• 2022

In 2021, the Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection (GESAMP), a U.N. advisory research institute, cited container loss as one of six sources of marine litters in shipping. The sinking of the X-P ress Pearl in May 2021 caused a catastrophic environmental pollution accident in which the loaded containers were moved to the shore, and the plastic pellets were loaded inside covered the coast of Sri Lanka. With this history, the International Maritime Organization (IMO) will discuss prevention and follow-up measures for container loss during ship voyages, as an agenda at the 8th Sub Committee on Carriage of Cargoes and Containers meeting in September 2022. To establish Korea's response direction at the IMO meeting, this study identified major causes of container loss accidents, and considered the response through analysis based on the accident investigation report and related professional data. As a result, it was found that the major cause of container loss during voyages was the enlargement of container ships, bad weather, and poor loading of containers. In particular, the need to prepare countermeasures for the deterioration of the operational safety of large container ships due to bad weather was identified. Additionally, integrated monitoring of the implementation of international conventions is required, for the safe sea transportation of container cargo. In particular, in terms of preservation of the marine environment, it is necessary to supplement the system for the recovery of lost containers. Finally, it was found that it is necessary to establish systems that can complement each other in the shipbuilding and shipping industries, in terms of shipbuilding as well as ship operation, to fundamentally prevent container loss accidents at sea. It is judged that it is difficult to resolve the various factors of container loss at sea during voyages, by responding from an individual perspective.

• Health Policy and Management
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• v.30 no.3
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• pp.311-325
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• 2020

Background: Health statistics of pharmaceutical use and expenditure are essential to make and implement evidence-based pharmaceutical policy. This study aims to demonstrate the methods and results of pharmaceutical consumption and sales in 2018 according to the sources and methods given by the Organization for Economic Cooperation and Development (OECD). Methods: The medication list contains 39,346 medicines both reimbursed and non-reimbursed by the National Health Insurance in 2018. We used the therapeutic categories based on Anatomic Therapeutic Chemical Classification of World Health Organization. This study analyzed National Health Insurance claims data and supply data generated from wholesalers to health care facilities. The indicators are defined daily dose (DDD), per 1,000 inhabitants per day and US$ per capita. Results: In South Korea, the number of medications to which DDD were assigned was 18,055 and it was 45.9% of the total number of medications on the list. The consumption in anti-infective for systemic use (J) and musculo-skeletal system (M) was higher than the mean consumption among the OECD countries. The pharmaceutical sales per person in Korea was also higher than the mean sales per person across the OECD countries. Conclusion: We sought to explain the methods to produce pharmaceutical consumption and sales statistics which we had submitted annually to OECD. Considering the characteristics of pharmaceutical statistics, a direct comparison should be approached with caution. Since the growth in pharmaceutical spending has greatly increased over the past decade, we need to monitor pharmaceutical consumption and expenditure consistently.

• Health Policy and Management
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• v.27 no.3
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• pp.199-210
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• 2017

Background: This paper aims to demonstrate current health expenditure (CHE) and National Health Accounts of the years 2015 constructed according to the SHA2011, which is a new manual of System of Health Accounts (SHA) that was published jointly by the Organization for Economic Cooperation and Development (OECD), Eurostat, and World Health Organization in 2011. Comparison is made with international trends by collecting and analysing health accounts of OECD member countries. Particularly, financing public-private mix is parsed in depth using SHA data of both HF as financing schemes as well as FS (financing source) as their revenue types. Methods: Data sources such as Health Insurance Review and Assessment Service's publications of both motor insurance and drugs are newly used to construct the 2015 National Health Accounts. In the case of private financing, an estimation of total expenditures for revenues by provider groups is made from the Economic Census data; and the household income and expenditure survey, Korean healthcare panel study, etc. are used to allocate those totals into functional classifications. Results: CHE was 115.2 trillion won in 2015, which accounts for 7.4 percent of Korea's gross domestic product. It was a big increase of 9.3 trillion won, 8.8 percent, from the previous year. Government and compulsory schemes's share (or public share) of 56.4% of the CHE in 2015 was much lower than the OECD average of 72.6%. 'Transfers from government domestic revenue' share of total revenue of HF was 17.8% in Korea, lower than the other contribution-based countries. When it comes to 'compulsory contributory health financing schemes,' 'Transfers from government domestic revenue' share of 14.9% was again much lower compared to Japan (44.7%) and Belgium (34.8%) as contribution-based countries. Conclusion: Considering relatively lower public financing share in the inpatient care as well as overall low public financing share of total CHE, priorities in health insurance coverage need to be repositioned among inpatient care, outpatient care and drugs.