• Journal of the Earthquake Engineering Society of Korea
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• v.25 no.2
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• pp.59-69
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• 2021

Historical records of earthquakes are generally used as a basis to extrapolate the instrumental earthquake catalog in time and space during the probabilistic seismic hazard analysis (PSHA). However, the historical catalogs' input parameters determined through historical descriptions rather than any quantitative measurements are accompanied by considerable uncertainty in PSHA. Therefore, quantitative assessment to verify the historical earthquake parameters is essential for refining the reliability of PSHA. This study presents an approach and its application to constrain reliable ranges of the magnitude and corresponding epicenter of historical earthquakes. First, ranges rather than specific values of ground motion intensities are estimated at multiple locations with distances between each other for selected historical earthquakes by reviewing observed co-seismic natural phenomena, structural damage levels, or felt areas described in their historical records. Based on specific objective criteria, this study selects only one earthquake (July 24, 1643), which is potentially one of the largest historical earthquakes. Then, ground motion simulations are performed for sufficiently broadly distributed epicenters, with a regular grid to prevent one from relying on strong assumptions. Calculated peak ground accelerations and velocities in areas with the historical descriptions on corresponding earthquakes are converted to intensities with an empirical ground motion-intensity conversion equation to compare them with historical descriptions. For the ground motion simulation, ground motion prediction equations and a frequency-wavenumber method are used to consider the effects of possible source mechanisms and stress drop. From these quantitative calculations, reliable ranges of epicenters and magnitudes and the trade-off between them are inferred for the earthquake that can conservatively match the upper and lower boundaries of intensity values from historical descriptions.

• Asian Journal of Innovation and Policy
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• v.4 no.3
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• pp.328-359
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• 2015

To explain the performance gap between firms in the same industry, this study focuses on innovation. It provides a new framework using the dynamic-capability view based on empirical analysis of domestic businesses. The findings of this study are as follows: First, when the uncertainty and competition intensity in the business environment and the level of innovation have “fit”, it means that when the former goes up, so does the latter. In this regard, when the innovation capability of a firm is high, being “fit” means that the level of innovation is also high. When there was fitting innovation on industrial environment and innovation capacity, companies were able to achieve relatively high performance. Also, it was confirmed that instead of innovation for innovation capacity, innovation for industrial environment led to relatively higher performances of firms.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.601-610
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• 2013

Purpose: The purpose of this paper is to analyze the relationship between R&D investment and growth rate of manufacturing firms in Incheon. Methods: The balanced panel data of 246 firms which have existed for the period 2001-2012 are constructed. As a method of analysis, fixed effects panel data model is used. Results: There is a one year lag in the relationship between R&D intensity and the subsequent sales growth of firms and its relation depends on the firms' characteristics. Conclusion: We suggest the emphasis on R&D investment for firms' growth and the differentiated R&D program based on firm size. This article has the limitation that various types of R&D investment cannot be included in this analysis.

• The Journal of Fisheries Business Administration
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• v.34 no.2
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• pp.141-164
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• 2003

This study analysis the market status and competitive structure of Korean fishery in Japan import market, and derive policy implications for seeking main causes. Specifically', trade state between Korea and Japan is discovered and theoretical model is also used to analysis competitiveness between two countries. And then real measuring methods of competitive index is Introduced, the status of Korean fishery products in Japan import market is analysed totally through the study of comparative predominance and export competition. The analysis is based on the statistical methods such as RCA, RMI, and CMS. In summary, first, Korean fishery products have the comparative predominance in Japan, China and Thailand, but they have the comparative inferiority in USA, considering research results. Second, competitiveness of fishery products between Korea and in Japan import market extreme, relatively, competitiveness of Korean fishery products for Thailand's fishery products is lowest. Third, Korean fishery products maintain unconstant pattern, but competitive inputs result in increasing export to Japan generally.

• Proceedings of the Membrane Society of Korea Conference
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• 1997.10a
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• pp.77-78
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• 1997

1. 서론 : Polyimide는 내열성과 기계적, 화학적 특성이 다른 고분자막에 비해 뛰어나며 선택도 또한 비교적 높기 때문에($\alpha$= 3-7) 최근 많은 연구가 대상이 되고 있다. 그러나 trade-off현상으로 알려진 바와 같이 선택도가 우수한 고분자 재료는 투과계수가 떨어지고 투과계수가 높은 고분자 재료는 낮은 선택도를 갖고 있기 때문에 보다 광범위한 분야에 실용적인 막으로 사용하기 위해서는 이를 개선하는 연구가 필요하다. 최근의 연구는 높은 투과계수와 선택도를 가진 새로운 고분자 재료의 합성에 관한 연구, 뛰어난 투과계수를 가지고 있지만 선택도가 낮은 고분자막을 대상으로 여러가지 수식방법을 이용하여 투과계수를 감소시키지 않으면서 동시에 선택도를 향상시키기 위한 연구, 우수한 화학적 특성과 선택도를 가진 물질을 대상으로 복합막이나 비대칭막으로 만들어 투과 저항을 극소화시키기 위한 연구 등의 방향으로 진행되고 있다. 본 연구는 Polyimide중 가장 큰 투과계수를 가진 것으로 보고된 6FDA-p-TeMPD막(P$_{O_2}$ = 122Barrer, $\alpha$$_{O_2/N_2}$ = 3.4)을 제조하여 분리 투과 특성을 향상시키려는 목적으로 UV처리를 하고 UV조사 시간과 강도(Intensity)를 변수로 투과 특성을 조사하여 가장 뛰어난 투과 특성을 나타내는 최적조건을 찾고자 하였다.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.22-30
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• 2022

The reinforcement learning algorithm has proven its potential in solving sequential decision-making problems under uncertainties, such as finding paths to route data packets in wireless sensor networks. With reinforcement learning, the computation of the optimum path requires careful definition of the so-called reward function, which is defined as a linear function that aggregates multiple objective functions into a single objective to compute a numerical value (reward) to be maximized. In a typical defined linear reward function, the multiple objectives to be optimized are integrated in the form of a weighted sum with fixed weighting factors for all learning agents. This study proposes a reinforcement learning -based routing protocol for wireless sensor network, where different learning agents prioritize different objective goals by assigning weighting factors to the aggregated objectives of the reward function. We assign appropriate weighting factors to the objectives in the reward function of a sensor node according to its hop-count distance to the sink node. We expect this approach to enhance the effectiveness of multi-objective reinforcement learning for wireless sensor networks with a balanced trade-off among competing parameters. Furthermore, we propose SDN (Software Defined Networks) architecture with multiple controllers for constant network monitoring to allow learning agents to adapt according to the dynamics of the network conditions. Simulation results show that our proposed scheme enhances the performance of wireless sensor network under varied conditions, such as the node density and traffic intensity, with a good trade-off among competing performance metrics.

• International Area Studies Review
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• v.12 no.2
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• pp.99-123
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• 2008

In this paper, technology gap between Korea's manufacturing industries compared to technology frontier countries was estimated in order to take into account Korea's status as a technology follower country. Then by using this measure the role of technology gap was investigated in explaining total factor productivity growth of the Korean manufacturing at industry level. The main empirical findings are as follows: First, the conventional factors that were emphasized in the previous literature such as R&D intensity, trade openness and human capital play important role in explaining the growth rate of Korea's total factor productivity. Second, the larger the technology gap between Korea and technology leader country (and the faster the technology growth rate in the leader country), the higher the growth rate of total factor productivity in Korea as well. Third when the technology gap is large, the most efficient way of absorbing higher technology from frontier country seems to be the international trade channel rather than R&D or human capital accumulation.

• International Area Studies Review
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• v.21 no.4
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• pp.65-83
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• 2017

As Global value chain(GVC) is deepening, the importance of intermediated good trade is growing in international trade issues. Such facts lead to much discussions about the relation between Global Outsourcing and pollution. This study analyzed the effect of Global outsourcing on Environment using the data including 21 industries for 2004-14. $CO_2$ intensity is used as a proxy for the environment variable and to measure Global outsourcing and I employed the method suggested by Feenstra and Hanson(1999), Amiti and Wei(2006). To examine the effect Global outsourcing on the Environment more precisely, this paper controlled the factors that can affect the environment level on the basis of the theory suggested by Copeland and Taylor(1994). In the methodology, System GMM is employed to solve endogenous problem. The results show that for overall industries, Global outsourcing effect cannot be identified and for polluting industries, the result is identical. However, Global outsourcing has a negative effect on the pollution level for China and developing countries. In other words, as Global outsourcing is increasing, the national pollution level is decreasing.

• Journal of Distribution Science
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• v.14 no.2
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• pp.135-144
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• 2016

Purpose - The purpose of this paper is to empirically investigate the moderating effects of social capital on antecedents factors path of export performance in the materials and components SMEs(Small and Medium-sized Enterprises) of Busan and Kyungnam region. In case of materials and components SMEs, they are always trying to achieve business performance including export sales and market share, but it is difficult for them to increase performance due to the limitation of inner & tangible resources. Therefore intangible asset such as technology capability and its antecedents factors which are technology innovation and learning orientation are getting more important to SMEs. In addition, it is supposed that social capital such as local network including distribution channel in overseas market plays an essential role to enhance export performance. Accordingly, the main goal of this study is to find out the relationship between export performance and antecedents factors and the validity of social capital as a moderating valuable. Research design, data, and methodology - Technology innovation, learning orientation and technology capability have been used as antecedents factors for export performance and social capital such as network diversity and intensity has been used for moderating effects analysis. In order to select these valuables mentioned above, this study examined the existing researches on a basis of Resources Based View, Organizational Learning Theory and Social Capital theory. To achieve the objective of this paper, 7 hypotheses including the moderating effects have been proposed with 6 potential variables measured by 24 questions. The survey was carried out from December 2014 to March 2015 and 137 samples out of total 175 were selected for the analysis. PLS(Partial Least Squares) has been used for the methodology of empirical analysis for both antecedents factors path and moderating effects. Results - Research findings are as follows. First, technology innovation has a significant impact on learning orientation, learning orientation has a positive effect on the technology capability and technology capability also has a significant impact on export performance. Therefore 3 valuables are proved as antecedents factors of export performance. Second, the social capital(both network diversity and intensity) plays a moderating role with learning orientation to technology capability. However, there is no moderating effects between both of social capital and technology capability regarding export performance. Conclusions - According to path analysis results, it is suggested that the materials and components SMEs should raise technology innovation and learning orientation in order to improve technology capability and export performance. Meantime, the moderating effect analysis shows that SMEs should consider local network diversity and intensity along with learning orientation to add up technology capability. But local network diversity and intensity does not work systematically with technology capability for export performance and it means that SMEs should find the appropriate local partners for the purpose of establishing concrete distribution channels based on marketing perspective, not for improving technology capability.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.21 no.10
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• pp.881-884
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• 2008

In this study, polyvinylidene fluoride-trifluoroethylene (PVDF-TrFE) in the composition from 51/49, was deposited on platinum for a metal-ferroelectric-metal structure. From XRD patterns, the 70 nm- and 140 nm-thick PVDF-TrFE films showed the intensity peak of near $20^{\circ}$ connected to a ferroelectric phase. Moreover, the thicker film indicated the higher intensity than thinner one. The difference of the remanent polarization (2Pr) at 0 V is decreased gradually from 10.19 to $5.7{\mu}C/cm^2$ as the thickness decrease from 140 to 70 nm. However, when the thickness decreased to 50 nm, the 2Pr rapidly drop to $1.6{\mu}C/cm^2$ so the minimum critical thickness might be at least 70 nm for device. Both different thickness films, 70 and 140 nm, indicated that the characteristic of current density-voltage was measured for $10^{-6}{\sim}10^{-7}A/cm^2$ below 15 V and the thicker film maintained relatively lower current density than thinner one. From these results, we can expect that the electrical properties for the devices particularly ferroelectric thin film transistor using PVDF-TrFE copolymer were able to be on the trade-off relationship between the remanent polarization with the bias voltage and the leakage current.