• Journal of Digital Contents Society
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• v.9 no.2
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• pp.165-175
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• 2008

Currently, software development methods have been advanced to service-oriented from component-oriented, to component-oriented from object-oriented. The component-oriented and service-oriented software development methods are analyzed by object-oriented UML model. So, the efficient analysis method for object-oriented UML model needs. In this paper, we suggest the analysis guideline and process based on event using Input Data-Process-Output Data Table for identifying use cases and classes efficiently. And the suggested method complements the problems depending the developer's perspective and experience.

• Journal of Korea Technology Innovation Society
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• v.8 no.spc1
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• pp.499-524
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• 2005

The economic spillover effect from technology self-reliance of NSSS(nuclear steam supply system) by Korea Atomic Energy Research Institute was evaluated. Both production spillover effect and value added spillover effect were estimated by using Input-Output table. The production spillover effect from technology self-reliance of NSSS was estimated as 135 trillion Won during 1986-2015, while the value added spillover effect was 69 trillion Won during the same period. Besides, it was found that the technology self-reliance made great contribution to unquantifiable economic benefits such as enhancement of overall nuclear technology level, improvement of the role in international nuclear society, and improved potential to nuclear technology export.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.49-67
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• 2018

This study compares economic impact between Software and Medical industry through Input Output Table by Bank of Korea. We classify Software and Medical industry by The ninth Korea Standard Industry Classification and use linkage effects, value added inducement coefficient, and labor inducement coefficient to analyze economic impact. First, software and medical industry have different linkage effects between backward and forward. Second, They have higher value added inducement coefficient than average of all industry. Third, They not only have higher labor inducement coefficient than average of all industry but also simillar effect on labor induction. According to the result of this study, software and medical industry have high economic impact on Korea economy, and therefore are intensively fostered by policy support.

• Proceedings of the Technology Innovation Conference
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• 2002.06a
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• pp.238-256
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• 2002

Competitiveness of a nation can be explained by the concept of national innovation systems(NIS). As components of NIS, industry clusters become the issue in analysing innovative activity of an economy. Innovative clusters can be identified by the innovation survey or other economic activity data. Input-output Table was used widely as a tool for quantitative analysis, This paper classifies seven clusters in Korean industry based on inter-industries trade of intermediary goods and services, Maximizing procedure method is used in analysing input-output table. Identified clusters are Textiles/chemicals, Construction/Material, Instrument/Equipment, Automobile, Services, Energy, and Agriculture/Food cluster, Among these clusters, some different characteristics in R&D portfolios are detected. R&D investment characteristics of each cluster give us significant implications in understanding innovative dynamics of Korean industry.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.14 no.3
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• pp.30-39
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• 2006

The purpose of this study is to analyze how much Air Transportation Industry contribute to national economy by measuring economic spreading effects of Air Transportation Industry on national economy. To achieve the purpose of the study, the study uses an Air Transportation Input-Output Table of year 2000 of korea. The results shows that Air Transportation Industry induce 274,530.8 billion won of national production, import inducement 13,7073.7 billion won, value-added 110,994.9 billion won, especially Air Transportation Industry shows that production inducement coefficient is 1.36803, import inducement coefficient is 0.60581, value-added coefficient is 0.45189, income inducement coefficient is 0.18599 and employment inducement coefficient is 0.00841.

• Environmental and Resource Economics Review
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• v.16 no.2
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• pp.313-336
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• 2007

The paper is concerned with, firstly, estimating the North Korean input-output table in which energy sectors like electricity and petro products are specified and, secondly, computing the effect of an investment in the energy sector on North Korean economy, by using the estimated input-output table and applying CGE analysis. The 4,000 million dollar investment on North Korean electricity industry produces 368 million dollar worth of output and 156 million dollar worth of value added. The 150 million dollar investment on petro industry creates about 20.5 million dollar worth of output and 9.65 million dollar worth of value added in North Korea.

• Journal of Korea Multimedia Society
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• v.25 no.5
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• pp.695-702
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• 2022

In this paper, we propose the method of a table structure recognition in various table types for document processing automation. A table with items surrounded by ruled lines are analyzed by detecting horizontal and vertical lines for recognizing the table structure. In case of a table with items separated by spaces, the table structure are recognized by analyzing the arrangement of row items. After recognizing the table structure, the areas of the table items are input into OCR engine and the character recognition result output to a text file in a structured format such as CSV or JSON. In simulation results, the average accuracy of table item recognition is about 94%.

• International Journal of Human Ecology
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• v.6 no.1
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• pp.61-74
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• 2005

This paper utilized a Korean time-use survey and household expenditure survey in designing an input-output table to develop satellite accounts of household production in Korea in 1999. Additionally, the household production in Korea was compared with that in the United States, Australia, Finland, and Canada. Results of this study may be summarized as follows. First, household production in Korea represented $43\%$ of Gross Domestic Product (GDP,) compared to $63\%$ of GDP in the United States, $68\%$ in Australia, $58\%$ in Finland, and $54\%$ in Canada. Second, labor emerged as the largest input for household production in Korea, while materials and services - both intermediate goods - emerged as the second input. On the other hand, the proportion of housing among the four inputs of household production in Korea was greater than for either the United States or the other countries studied. This implies that the cost of intermediate goods and housing in Korea is more expensive than in other countries.

• Economic and Environmental Geology
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• v.47 no.3
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• pp.237-246
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• 2014

In this study, it is estimated how many changes of macroeconomic variables are happened under the proposition of import substitution of mining products 1% using macroeconometric input-output model. For this, used macroeconometric input-output model is composed of 141 behavioral equations representing the macroeconomy structure. In general, macroeconometrics models are constructed mainly on the side of the expenditure then it is not easy to estimate the effects of the shocks occurred from industry level. To mitigate that, this study tries to construct a macroeconometric input-output model. Macroeconometrics model which is useful to estimate the effects of macroeconomic shocks, economic policy and more, in this study, is linked with input-output table through the NDI(national disposable income) derived from compensation of employee. And this paper presents the estimation results of import substitution effects of mining products on Korean economy. As a results, GDP is increased 0.00073%, gross labor employed 0.00029%, current balanace 0.00010% and unemployment rate is mitigated 0.00233%.

• Economic Analysis
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• v.27 no.3
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• pp.33-60
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• 2021

This study estimates the fiscal multiplier using Input-Output table panel data from year of 2010 to 2018. Considering the endogeneity of the government expenditure, this study uses the share of government expenditure by sector in the initial period as an instrument variable. The estimation from the panel fixed effect instrumental variables model shows that the estimate for the current period of government expenditure is 1.15~1.22 and the estimate for the cumulative multiplier is 1.23~1.32 depending on the method of controlling time trend. Since the general equilibrium effect absorbed by the time-fixed effect in the estimation equation, the estimated multiplier in this study may be different from the multiplier of the economy as a whole. The general equilibrium effect depends on the response of monetary policy, changes in tax policy, and interaction between sectors.