• Journal of the Economic Geographical Society of Korea
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• v.25 no.4
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• pp.600-616
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• 2022

This study contemplates spatial context of startup in manufacturing, mainly analyzing job creation effects of time lag of startups in manufacturing at different technology levels. Using DID model, we found that each region including capital, non-capital and metropolitan area shows different job creation effects of time lag. In capial region, startup cohort in high R&D intensity manufacturing was found to show short-term job creation effects, but in non-capital region, long-term job creation effects was found with the one in medium-high R&D intensity manufacturing. In case of metropolitan area, we couldn't find much evidence of job creation effects that was statistically significant. The result of analysis implied that, in capital region, startup support policies, targeting at high R&D intensity manufacturing, ought to be focused on scale-up of startups that survived for a certain period. And non-capital area and some of metropolitan areas in non-capital region that have comparatively inferior infrastructure and brain-drain problems as well should focus on fostering startups in medium-high R&D intensity manufacturing in a long-term perspective and utilize their traditional manufacturing base.

• International Journal of Aeronautical and Space Sciences
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• v.1 no.2
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• pp.50-67
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• 2000

The spacecraft simulator is used for command validation, operational check of the Satellite Operation Subsystem (SOS), spacecraft anomaly analysis support, satellite operator training etc. In this paper, S/W design features and modeling characteristics of the KOMPSAT Spacecraft Simulator Subsystem (SIM) are described. Validation procedures and simulation results are also provided. The SIM provides extensive simulation capabilities by including models for most of the spacecraft subsystems. The software structure of the SIM was designed and implemented so as to support operations not only in real-time but also in non real-time by utilizing the Hewlett Packard (HP) UNIX functions. The SIM incorporates as many user-friendly Man Machine Interface (MMI) windows as possible so that all the SIM normal operations can be executed through the MMI windows.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.390-399
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• 2013

The purpose of this study is to examine the impact of enterprise R&D investment on inter-industry technology spillover in Korea under the new Normal Era. In order to do this, we tested the effect of production inducement, backward and forward linkage effects, and the effect of technology spillover such as technology intensity effects and technology diffusion effects based on an input-output framework. The results show that the high index industries of the production inducement effect were professional, scientific and technical activities, manufacture of metal products, and general machinery. Some manufacturers of other non-metallic mineral products and transport equipment sectors appeared to have the strong effect of forward and backward linkages that were almost equivalent to high-tech manufacturing industries. In particular, the industries of professional, scientific and technical activities appeared to have the strong effect of both forward and backward linkages. Therefore, we need to drive a strong policy support to higher enterprise R&D investment in the those particular industries not only to increase global competitiveness, but also to widen up the technology spillover effect on other industries.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.137-152
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• 2023

Data is indispensable for digital transformation of agriculture with the development of innovative information and communication technology (ICT). In order to devise and prioritize strategies for enhancing data competitiveness in the agricultural sector, we employed an Analytic Hierarchy Process (AHP) analysis. Drawing from existing research on data competitiveness indicators, we developed a three-tier decision-making structure reflecting unique characteristics of the agricultural sector such as farmers'awareness of the data industry or awareness of agriculture among data workers. AHP survey was administered to experts from both agricultural and non-agricultural sectors with a high understanding of data. The overall composite importance, derived from the respondents, was rated in the following order: 'Employment Support', 'Data Standardization', 'R&D Support', 'Start-up Ecosystem Support', 'Relaxation of Regulations', 'Legislation', and 'Data Analytics and Utilization Technology'. In the case of experts in the agricultural sector, 'Employment Support' was ranked as the top priorities, and 'Legislation', 'Undergrad and Grad Education', and 'In-house Training' were also regarded as highly important. On the other hand, experts in the non-agricultural sector perceived 'Data Standardization' and 'Relaxation of Regulations' as the top two priorities, and 'Data Center' and 'Open Public Data' were also highly rated.

• Journal of the Korean association of regional geographers
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• v.18 no.3
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• pp.298-309
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• 2012

This paper studies the characteristics of the network of the Zhongguancun Cluster, the most representative innovative cluster of the high-tech industry in China at present. For this study, Zhongguancun Cluster was the first high-tech cluster created in China in 1988, the current Zhongguancun Cluster plays a leading role in the development of the high-tech industry in China. In addition, the Zhongguancun Cluster has attracted global attention and helped elevate China as a key region in terms of research development in relation to the high-tech industry. With regard to the spatial characteristics of the network belonging to the companies in Zhongguancun Cluster, purchase and producer services and information and R&D network have a strong tendency to be local, while on the other hand the product sales network has a strong tendency to be non-local. It is because the political support supplied by the government, institutional base that provides high-tech companies, producer services and information regarding producer services is relatively well prepared and managed in Zhongguancun Cluster. The spatial characteristics of the R&D network have a very strong local character is due to the location of the Zhongguancun Cluster where companies, universities and research centers with outstanding research development capacity as well as various support organizations for technology innovation within the cluster are included. On the other hand, because the high-tech products produced in this area are sold all across China as well as in foreign countries, the product sales network has a strong non-local character. Strengthening the local network in terms of the main agents of the cluster is the most important aspect in order to develop a certain industrial cluster into an innovative cluster. In this respect, if the Zhongguancun Cluster is seen from the perspective of a network, it has a basic network foundation. However, to strengthen international competitiveness, not only the local network but also the international network should be strengthened.

• Korean Journal of Agricultural Science
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• v.50 no.4
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• pp.675-696
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• 2023

Terpenoids, also referred to as terpenes, are a large family of naturally occurring chemical compounds present in the essential oils extracted from medicinal plants. In this study, a nondestructive methodology was created by combining ATR-FT-IR (attenuated total reflectance-Fourier transform infrared), and Raman spectroscopy for the terpenoids assessment in medicinal plants essential oils from ten different geographical locations. Partial least squares regression (PLSR) and support vector regression (SVR) were used as machine learning methodologies. However, a deep learning based model called as one-dimensional convolutional neural network (1D CNN) were also developed for models comparison. With a correlation coefficient (R²) of 0.999 and a lowest RMSEP (root mean squared error of prediction) of 0.006% for the prediction datasets, the SVR model created for FT-IR spectral data outperformed both the PLSR and 1 D CNN models. On the other hand, for the classification of essential oils derived from plants collected from various geographical regions, the created SVM (support vector machine) classification model for Raman spectroscopic data obtained an overall classification accuracy of 0.997% which was superior than the FT-IR (0.986%) data. Based on the results we propose that FT-IR spectroscopy, when coupled with the SVR model, has a significant potential for the non-destructive identification of terpenoids in essential oils compared with destructive chemical analysis methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.162-169
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• 2016

Using 1795 observations from the 5 year-359 firm panel data collected during the period from 2009 to 2013 in Chinese stock exchanges, this study examines the impact of the controlling shareholders' ownership on R & D expenditure. This empirical study finds that when firms are state-owned, the controlling shareholders' ownership has a U shaped relation with the level of R & D expenses. A non-linear relation is also found when piece-wise regression models are applied. This empirical study also finds that when firms are private-owned, the controlling shareholders' ownership is negatively related to the level of R & D expenses, and no structural changes in the relation are found when piece-wise regression models are applied. These results support the hypothesis that the effects of the controlling shareholders' ownership on R & D expenses may differ depending on the ownership type of the controlling shareholders. This finding suggests that the differences in the controlling shareholders' incentives due to their ownership type should be considered when exploring the relation between the controlling shareholders' ownership and corporate strategic decisions.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.81-88
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• 2021

Modern society is exposed to various types of crises. In particular, since the September 11 attacks, each country has been increasingly responsible for managing non-military crises. Therefore, the purpose of this study is to consider ways to utilize artificial intelligence(AI) for national crisis management in the era of the fourth industrial revolution. To this end, we analyzed the effectiveness of artificial intelligence(AI) operated and under research and development(R&D) to support human decision-making and examined the possibility of using artificial intelligence(AI) to national crisis management. As a result of the study, artificial intelligence(AI) provides objective judgment of the data-based situation and optimal countermeasures to policymakers, enabling them to make decisions in urgent crisis situations, indicating that it is efficient to use artificial intelligence(AI) for national crisis. These findings suggest the possibility of using artificial intelligence(AI) to respond quickly and efficiently to the national crisis.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.329-339
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• 2011

This study aims at investigating how English proficiency affects economic development of a country by analyzing the relationships among English proficiency, economic activities (amount of trade, R&D investment, etc), and the rate of economic growth, focusing on twenty-one non-English-speaking OECD countries. Ordinary Least Square (OLS) and Seemingly Unrelated Regression Estimation (SURE) were used for the data analysis in the study. The findings reveals that there existed little statistical significance to support the fact that English proficiency was directly related to the economic development in a positive way in many countries except Mexico, the Czech Republic, Finland, and Poland. However, English proficiency indirectly influenced the economic development in the way of increasing the amount of trade. These results can lead to the conclusion that English proficiency is not a sufficient element but a necessary one. Furthermore, it is expected that English proficiency can positively affect the economic development when it plays a part as sufficient complementary goods which make up for physical capital, technology accumulation, political stability, and worthy government.

• Journal of Korea Technology Innovation Society
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• v.16 no.2
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• pp.391-407
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• 2013

The paper tests the embodiment hypothesis by measuring the technological obsolescence of a specific year (1990)'s technology and investigating the relationship between labor productivity and technological obsolescence. This approach is based on Salter (1969) that emphasizes the economic aspect of technology. We use the rate of economic surplus as the proxy of technological obsolescence for 10 main industries, including food processing, textiles, chemicals, non-steel metals, steels, metal products, machinery, electronics, precision machinery, and transportation equipments. The result shows that the embodiment hypothesis is not accepted for the overall manufacturing sector. However, we found the vintage effect - a positive relationship between technological obsolescence and labor productivity over time - in textiles, chemicals, non-steel metals, metal products, electronics, and transportation equipments. Therefore, the government should support R&D investment as well as capital equipments investment for the industries with large vintage effect.