• Tunnel and Underground Space
• /
• v.29 no.1
• /
• pp.1-11
• /
• 2019

This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.

• International Area Studies Review
• /
• v.20 no.3
• /
• pp.81-100
• /
• 2016

In this study we analyze the performance of overseas subsidiaries of Korean multinationals with localization in sales, purchase, and employment. We use the data of 2,116 overseas subsidiaries in 61 countries between 2008 and 2011 provided by The Export-Inport Bank of Korea. As a result, analysis shows that the effect of localization on the performance is quite different by sectors and countries which the subsidiaries have entered. In the manufacturing sector, increase of local sales has positive effect only in China, while local purchase improves the performance of the subsidiaries in developing counties excluding China. However, the subsidiaries which had made a foray to service sector in advanced countries aquired better performance with localization of sales, purchase, and employment, whereas those in China had no merit except localization of purchase.

• The Journal of Fisheries Business Administration
• /
• v.50 no.2
• /
• pp.41-56
• /
• 2019

The aim of this study is to analyze the productivity change of pollock enterprise by applying a mutually quadratic hyperbolic model and a bootstrapping model. This study used 20 units of pollock firms data (from 2013 to 2017). As a result of total productivity analysis of twenty pollock enterprises, total factor productivity was estimated to have decreased by 24.9% over the last five years (2013~2017). The main cause of this productivity decline was analyzed by technical change. In terms of annual productivity change, it showed decrease 3.0% in 2013~2014, 7.8% in 2014~2015, 4.5% in 2015~2016 and 4.7% in 2016~2017 respectively. In the analysis of productivity by corporation type, total factor productivity showed a significant decrease in both general corporation and external corporation, and productivity decrease (-29.3%) was larger than general corporation (-23.0%). In the productivity analysis by type of business, total factor productivity decreased significantly in the order of wholesale and commodity brokerage (-26.3%), food manufacturing (-25.1%) and fisheries (-15.3%). This decrease in productivity was caused by the technological change which indicates a downward shift in the production curve that is significant in all sectors.

• The Research Journal of the Costume Culture
• /
• v.29 no.5
• /
• pp.679-693
• /
• 2021

The aim of this study was first to expand participation types in the field of beauty design by examining activities in the field, and second, to seek practical methods for addressing the important issue of social responsibility amid the current pandemic situation. Accordingly, social responsibility in design was examined through a review of previous studies. The features of practice domains and design performance fields were examined comparatively. As a result, it was found that social practices take place in various sectors, with sensibility toward the environment being escalated to a new level in the cosmetics industry. In terms of cosmetics enterprise practices, collecting, recycling, manufacturing, and retail networking has been established to reuse up to 95% of waste resources. Furthermore, ethical responsibility and participation concerning product and service waste resources are recommended, resulting in the supply of eco-friendly products in a virtuous cycle. In terms of systematic policy, even component transformation (such as organic certification and excluding toxic substances) is being carried out. However, it was difficult to identify such responsible activities in Korea; thus, systematic practice is needed. Designers take part in talent donation activities, and it was the sector they prefer the most. However, it is necessary to conduct studies on limitations such as venues equipped with cosmetics procedure equipment and public cosmetics sanitation and make systematic improvement, such that activities can be led with initiative from passive participation.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.5
• /
• pp.637-645
• /
• 2019

Global warming and a new energy policy request the energy saving and pollutant emission control in municipal level. Previous studies focus on transportation in the Seoul metropolitan area which can easily meet the policy goal by reducing it. This study expands the area of urban energy planning to the industries and land use which takes up most of energy use of the city. We empirically study the Busan metropolitan area's 5 years natural gas and electricity consumption data by the industries and land use. Results show that energy usage significantly depends on not only population but also urbanizing intensity and industrial category. This paper address that the policy maker need to pay attention on energy usage pattern of each sectors during the planning.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.35 no.12
• /
• pp.43-53
• /
• 2019

The construction industry has made great strides in the past decades by utilizing computer programs including CAD. However, compared to other manufacturing sectors, labor productivity is low due to the high proportion of workers' knowledge-based task in addition to simple repetitive task. Therefore, the knowledge-based task efficiency of workers should be improved by recognizing the visual information of computers. A computer needs a lot of training data, such as the ImageNet project, to recognize visual information. This study, aim at proposing building facade datasets that is efficiently constructed by quickly collecting building facade data through portal site road view and automatically labeling using deep learning as part of construction of image dataset for visual recognition construction by the computer. As a method proposed in this study, we constructed a dataset for a part of Dongseong-ro, Daegu Metropolitan City and analyzed the utility and reliability of the dataset. Through this, it was confirmed that the computer could extract the significant facade information of the portal site road view by recognizing the visual information of the building facade image. Additionally, In contribution to verifying the feasibility of building construction image datasets. this study suggests the possibility of securing quantitative and qualitative facade design knowledge by extracting the facade design knowledge from any facade all over the world.

• Journal of the Economic Geographical Society of Korea
• /
• v.25 no.3
• /
• pp.357-379
• /
• 2022

This study diagnoses the industrial varieties and innovation capacity of the Korean regional economy and discusses how the priority for autonomous regional development can be set. Since the late 1990s, regional development policies in Korea have been attempted from various angles to reduce the economic gap between the metropolitan area and non-metropolitan areas, but the establishment of a development strategy in consideration of regional industrial characteristics and innovation capabilities has been insufficient. With the advancement and diversification of technologies and industries, regions must seek strategic diversification to prepare for economic shocks, away from strategies that specialize in specific industries. In this study, industrial varieties in regional basis is characterized using unrelated and related varieties. Variety indices show different patterns between the metropolitan area and non-metropolitan areas and between manufacturing and service sectors, which raises the need to consider industrial characteristics in regional development. Lastly, using the variety index and the innovation capacity index as two dimensions, the regional economic status at the municipal level is categorized into four types, and proper regional development policy priorities are suggested for each type.

• Journal of Korea Trade
• /
• v.24 no.8
• /
• pp.133-152
• /
• 2020

Purpose - The purpose of this study is to analyze the determinants of commodity trade in Korea and China and to examine the implications of China's GVC shift from export to domestic market on its impact on Korea's trade. Design/methodology - This study selected 30 major trading partner countries. The dependent variable is the trade volume, and the independent variables are general economic factors such as gross domestic product (GDP), GDP per capita, distance, and FTA. Findings - The trade pattern of Korea's commodities shows that GDP has a positive relationship with trade, import, and export. Distance has a significant negative relationship with total trade, import, and export. FTA is significant for import but it is not significant for total trade and export. The trade pattern of China's commodities shows that GDP has a significant positive relationship with total trade, import, and export. Distance has a negative relationship with trade, import, and export. GDP per capita is not significant for total trade and import, but it is significant for export. FTA is significant for total trade and export, but it is not significant for import. Originality/value - Existing papers were studied mainly in certain industrial sectors such as agriculture, manufacturing, automobile industry and steel industry. This paper attempts to collects vast amounts of data about the 30 countries of Korea and China respectively and analyzes by Random Effect Model dividing the goods (0 to 9) in units of STIC (Rev. 4). The major contribution is that the decision factors affecting commodity trade can be analyzed in SITC units (0-9) to obtain analysis results that are subdivided by product group and organized by product.

• Computers and Concrete
• /
• v.32 no.1
• /
• pp.61-74
• /
• 2023

This article investigates the wave propagation analysis of the imperfect functionally graded (FG) sandwich plates based on a novel simple four-variable integral quasi-3D higher-order shear deformation theory (HSDT). The thickness stretching effect is considered in the transverse displacement component. The presented formulation ensures a parabolic variation of the transverse shear stresses with zero-stresses at the top and the bottom surfaces without requiring any shear correction factors. The studied sandwich plates can be used in several sectors as areas of aircraft, construction, naval/marine, aerospace and wind energy systems, the sandwich structure is composed from three layers (two FG face sheets and isotropic core). The material properties in the FG faces sheet are computed according to a modified power law function with considering the porosity which may appear during the manufacturing process in the form of micro-voids in the layer body. The Hamilton principle is utilized to determine the four governing differential equations for wave propagation in FG plates which is reduced in terms of computation time and cost compared to the other conventional quasi-3D models. An eigenvalue equation is formulated for the analytical solution using a generalized displacements' solution form for wave propagation. The effects of porosity, temperature, moisture concentration, core thickness, and the material exponent on the plates' dispersion relations are examined by considering the thickness stretching influence.

• Economic Analysis
• /
• v.25 no.3
• /
• pp.100-137
• /
• 2019

In this study, I analyzed the effects of government spending on macro variables and on each industry by using a factor augmented vector autoregressive model (FAVAR) and 167 macro-variables in Korea since 2000. The results reveal that the effects of two types of government spending - government consumption and government investment - greatly differ, therefore it is better to consider the two types of spending separately for a more precise analysis. The stimulus effects of government consumption are clear, but those of government investment are not. In addition, the crowding-out effects of government spending take place through the current account deficit channel rather than the traditional crowding-out channel, reducing private consumption and investment. Both types of government spending show a positive effect on the construction industry. Also, an increase in government consumption stimulates output in various manufacturing and service sectors.