• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.593-604
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• 2022

The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.413-419
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• 2011

Corporate governance is a system articulating the division of responsibilities among different company members, and defining the running rules and procedures for making decisions on corporate affairs. The separation of ownership and management in modern enterprises brings agency problems to the company shareholders, and it is wildly believed that good practice on corporate governance is essential to prevent managers from taking actions by which profiteering their own benefits but compromising the interests of shareholders. This research investigates the level of companies' compliance with the corporate governance codes to find whether significant differences in corporate governance practice exist between the listed construction companies and the national leading companies in Taiwan. Further exploration focuses on the correlation between the compliance level and the industrial features. The investigation finds that: (1)Construction companies display lower levels of corporate governance compliance; (2)Construction companies display lower levels of structural board independence and respect for stakeholders; (3)Compliance levels of construction companies are correlated with the number of employees and the ownership concentration; (4)Compliance levels of the whole sample companies are correlated with the factors representing firm size, such as turnover, capital and number of employees, but are independent of profitability as well as stock price volatility. The above empirical evidence characterizes the features of corporate governance in Taiwan listed construction companies, including: (1)Large companies lurking high risk of agency problems have more willingness to conduct corporate governance and meanwhile can afford higher costs for the conduction, so that their compliance level would be higher than smaller companies; (2)Construction companies in Taiwan have higher ownership concentration, on account of the industrial tradition of family business, and therefore pay less attention to the compliance with structural board independence and respect for stakeholders. However, the conclusions indicate that further studies are essential to clarify whether the above disparities would lead to a negative cycle of corporate governance practice in construction industry. The benefits of corporate governance should unfold more evidently to convince construction companies for improving their investment environment and stimulating their healthy growth.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.4
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• pp.81-99
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• 2015

The acceleration of global warming has required better understanding of carbon cycles over local and regional areas such as the Korean peninsula. Since forests serve as a carbon sink, which stores a large amount of terrestrial carbon, there has been a demand to accurately estimate such forest carbon sequestration. In Korea, the National Forest Inventory(NFI) has been used to estimate the forest carbon stocks based on the amount of growing stocks per hectare measured at sampled location. However, as such data are based on point(i.e., plot) measurements, it is difficult to identify spatial distribution of forest carbon stocks. This study focuses on urban areas, which have limited number of NFI samples and have shown rapid land cover change, to estimate grid-based forest carbon stocks based on UNFCCC Approach 3 and Tier 3. Land cover change and forest carbon stocks were estimated using Landsat 5 TM data acquired in 1991, 1992, 2010, and 2011, high resolution airborne images, and the 3rd, 5th~6th NFI data. Machine learning techniques(i.e., random forest and support vector machines/regression) were used for land cover change classification and forest carbon stock estimation. Forest carbon stocks were estimated using reflectance, band ratios, vegetation indices, and topographical indices. Results showed that 33.23tonC/ha of carbon was sequestrated on the unchanged forest areas between 1991 and 2010, while 36.83 tonC/ha of carbon was sequestrated on the areas changed from other land-use types to forests. A total of 7.35 tonC/ha of carbon was released on the areas changed from forests to other land-use types. This study was a good chance to understand the quantitative forest carbon stock change according to the land cover change. Moreover the result of this study can contribute to the effective forest management.

• Journal of Animal Science and Technology
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• v.52 no.1
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• pp.9-16
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• 2010

A previous study has shown that the g.17924G>A polymorphism of fatty acid synthase (FASN) is associated with unsaturated fatty acid composition in the Hanwoo beef, hence this study was conducted to evaluate the effect of single nucleotide polymorphisms (SNPs) within FASN gene on the selection phenotypes of Hanwoo breeding stock. A total of 925 progeny test steers were used to genotype g.11280G>A, g.13125T>C, and g.17924G>A polymorphisms and significant associations were found among g.11280G>A, g.17924G>A, and carcass traits, such as carcass weight, backfat thickness, and beef quantity index. No significant association was found between g.13125T>C and carcass traits. Although the degree of linkage disequilibrium (LD) was not strong among g.11280G>A, g.13125T>C, and g.17924G>A in the LD analysis, four major haplotype classes were formed with the genotypic information within the FASN gene; the frequencies of the halpotypeswere -GCG-[0.378], -ATG-[0.301], -GTA-[0.191], and -ACG-[0.063], respectively. Phenotypic association was performed among these haploptypes, and the haplotype 2 (-ATG-)was significantly associated with higher carcass weight when compared to the other haplotypes, i.e. haplotype 1 (-GCG-) and haplotype 3 (-GTA-). A copy number of the FASN haplotype 3 (-GTA-) had also a significant association with carcass weight of subjects. In conclusion, it was observed that two polymorphisms (g.11280G>A and g.17924G>A) and their haplotypes within the FASN gene are consistently associated with carcass traits. Therefore, it is desirable to use the FASN polymorphisms for pre-selection program as genetic marker with improved carcass yield and beef quality of the Hanwoo sire at the Hanwoo Improvement Center as well as for commercial Hanwoo producers, the FASN genotypic information can be used for a part of selecting Hanwoo dam for superior calf production.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.479-490
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• 2021

As a part of Korean accounting reforms through the improvement of the accounting and audit related systems, the amendment bill of 'Act on External Audit of Stock Compamies's was passed in the Natinal Assembly plenary session in 2017, the amended act has been enforced except some regulations since the business year on November 1, 2018, and all the amended matters will be applied from the business year of 2024. The reasons for auditor designation in 2019 are 'pre-IPO' 331 companies, 220 periodic designation companies, 197 companies that had operating loss for three consecutive years, 112 companies with issues for administration, 108 companies with excessive debt ratio and 66 companies with no auditors. Regarding the reasons for the increase of auditor designation, 475 companies were increased in accordance with the new designation standard by the amended bill of Act on External Audit of Stock Companies, 114 companies were increased due to the abolition of the considered designation system of companies to be listed, and 90 companies were increased based on the increase of listed companies incorporated to issues for administration. In 2020, 462 companies had periodical designation (434 listed, 28 non-listed), adding 242 companies (110%) over a year. In terms of direct designation, 'pre-IPO' accounted for the most (362 companies), followed by '3 consecutive years of operating loss' (245 companies), then by companies with administration issues (133 companies), and CEO & largest sharholder replacement. Regarding the designation of auditors according to accounting firms in 2020, A group that includes(top 4) accounting firms(Samil, Samjeong, Hanyeong, Anjin) had 526 companies(34.6%), which ia an incease of 72 companies from the previous year(454 companies, 37.1%), but the weight decreased by 2.5%.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.91-104
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• 2023

The records system is believed to have started in Italy in the 14th century in line with trade developments in Europe. In 1491, Luca Pacioli, a mathematician, and an Italian Franciscan monk wrote the first book that described double-entry accounting processes. In many countries, including Korea, the government accounting standards used single-entry bookkeeping rather than double-entry bookkeeping that can be aggregated by account subject. The cash-based and single-entry bookkeeping used by the government in the past had limitations in providing clear information on financial status and establishing a performance-oriented financial management system. Accordingly, the National Accounting Act (promulgated in October 2007) stipulated the introduction of double-entry bookkeeping and accrual accounting systems in the government sector from January 1, 2009. Furthermore, the Korean government has also introduced International Financial Reporting Standards (IFRS), and the System of National Accounts (SNA). Since 2014, Korea owned five national accounts. In Korea, valuation began with the 1968 National Wealth Statistics Survey. The academic origins of the valuation of national wealth statistics which had been investigated by due diligence every 10 years since 1968 are based on the 'Engineering Valuation' of professor Marston in the Department of Industrial Engineering at Iowa State University in the 1930s. This field has spread to economics, etc. In economics, it became the basis of capital stock estimation for positive economics such as econometrics. The valuation by the National Wealth Statistics Survey contributed greatly to converting the book value of accounting data into vintage data. And in 2000 National Statistical Office collected actual disposal data for the 1-digit asset class and obtained the ASL(average service life) by Iowa curve. Then, with the data on fixed capital formation centered on the National B/S Team of the Bank of Korea, the national wealth statistics were prepared by the Permanent Inventory Method(PIM). The asset classification was also classified into 59 types, including 2 types of residential buildings, 4 types of non-residential buildings, 14 types of structures, 9 types of transportation equipment, 28 types of machinery, and 2 types of intangible fixed assets. Tables of useful lives of tangible fixed assets published by the Korea Appraisal Board in 1999 and 2013 were made by the Iowa curve method. In Korea, the Iowa curve method has been adopted as a method of ASL estimation. There are three types of the Iowa curve method. The retirement rate method of the three types is the best because it is based on the collection and compilation of the data of all properties in service during a period of recent years, both properties retired and that are still in service. We hope the retirement rate method instead of the individual unit method is used in the estimation of ASL. Recently Korean government's accounting system has been developed. When revenue expenditure and capital expenditure were mixed in the past single-entry bookkeeping we would like to suggest that BOK and National Statistical Office have accumulated knowledge of a rational difference between revenue expenditure and capital expenditure. In particular, it is important when it is estimated capital stock by PIM. Korea also needs an empirical study on economic depreciation like Hulten & Wykoff Catalog A of the US BEA.

• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.239-270
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• 2017

This paper examines the relationship between ownership structure and the intensity of R&D expenditures of a firm by analyzing the panel data composed of 553 manufacturing firms in KSE(Korea Stock Exchange) and KOSDAQ listed firms for the period of 2007-2014. The major findings are as follows; (1) Regarding the relationship between CEO stockholding and R&D intensity, we find the inverted-U shape relationship in KOSDAQ firms, consistent with the theoretical discussion and empirical studies on U.S. firms. The result suggests that management stockholding reduces agency problem at the R&D margin. On the contrary, the insignificant result in KSE firms seems to be due to the scant stockholding of most 'non-owner' CEOs. (2) Regarding the relationship between the largest shareholder's portion and R&D intensity, KSE firms exhibit negatively significant relationship, suggesting the existence of serious agency problem between the largest shareholder and the minor shareholders. This agency problem seems to be alleviated in KOSDAQ firms mainly because the founders with technology expertise are still in charge of the business. (3) Foreign investors seem to fail in effectively encouraging R&D expenditures in either KSE or KOSDAQ listed firms. This study contributes to the existing literature by showing for the first time that ownership structure affects R&D activities in different ways between KSE and KOSDAQ firms.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.649-674
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• 2012

The purpose of this study is to investigate the effects of public R&D subsidies on private R&D. We have analyzed rationales for the public R&D subsidy from different perspectives. On the basis of literature review, a two step research model is constructed: participation phase (when firms benefit from public subsidies) and decision phase (when firms make decision on additional R&D investments). Using propensity score matching(PSM) method, we compare the potential outcome of the treated group to a matched controlled group of non-subsidized firms. The data used in this paper was collected from various sources. The Korean Innovation Survey 2008(manufacturing sector) is a main source of data. Financial data such as revenue, asset and capital stock, and number of employees were supplemented from the Nice Information Service KIS Value database. The R&D survey, conducted by MEST(Ministry of Education, Science and Technology) each year, was also used for the R&D expenditures of the manufacturing firms. This study comes up with the following empirical results. First, a firm's innovation capability, financial constraints, and sector appear to influence the selection of firms who were benefited from government's financial supports for R&D. Second, empirical results show that public R&D funding complements private investment on average and appear to have perpetual effects on the following year. Finally, sectoral difference in the effect of public subsidies on firms' R&D investment was confirmed. In addition, SMEs show more positive effects than large firms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.352-362
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• 2016

Today, it appears that the rapid advances in technology have allowed broadening both the system technology and the business opportunities in the rail industry. Owing to the developments in technology and the industry, and also due to the hearth, the latest high-speed trains and a variety of unattended operations in rail systems are being developed and are operational. In particular, this study covers the existing railway rolling stock and signaling systems that operate in an environment more complex than the concept of localized management, so the introduction of a new signaling system is needed. In addition, developments based on the existing signal system concepts for passenger railways need to minimize human injury. In this study, to participate in the development of new systems in a variety of domains and to provide an integrated common vision methodology as an engineer on the basis of efficient signal system design and safety would like to present the methodology for action. Therefore, each different linkage through the next new domain zone system design: design through to secure the integrity of safety than can secure methodology.

• Journal of KIISE:Databases
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• v.28 no.3
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• pp.357-372
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• 2001

In this paper, we present the concept of generalization in constructing windows for subsequence matching and propose a new subsequence matching method. GeneralMatch, based on the generalization. The earlier work of Faloutsos et al.(FRM in short) causes a lot of false alarms due to lack of the point-filtering effect. DualMatch, which has been proposed by the authors, improves performance significantly over FRM by exploiting the point filtering effect, but it has the problem of having a smaller maximum window size (half that FRM) given the minimum query length. GeneralMatch, an improvement of DualMatch, offers advantages of both methods: it can use large windows like FRM and, at the same time, can exploit the point-filtering effect like DualMatch. GeneralMatch divides data sequences into J-sliding windows (generalized sliding windows) and the query sequence into J-disjoint windows (generalized disjoint windows). We formally prove that our GeneralMatch is correct, i.e., it incurs no false dismissal. We also prove that, given the minimum query length, there is a maximum bound of the window size to guarantee correctness of GeneralMatch. We then propose a method of determining the value of J that minimizes the number of page accesses, Experimental results for real stock data show that, for low selectivities ($10^{-6}~10^{-4}$), GeneralMatch improves performance by 114% over DualMatch and by 998% iver FRM on the average; for high selectivities ($10^{-6}~10^{-4}$), by 46% over DualMatch and by 65% over FRM on the average.