• Journal of Korea Technology Innovation Society
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• v.12 no.3
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• pp.638-661
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• 2009

With the advance to the knowledge-based economy, science and technology (S&T) has been recognized as key factor in a nation's competitiveness. To cope with this kind of new trend Korean government has tried to increase the R&D investment and to streamline acts and regulations concerning national R&D activities. Korea's total R&D expenditure for the year 2007 amounted to about 31.3 trillion won including government R&D of 8.9trillion won. With these efforts the capacity of Korea S&T has made great strides recently. Korea was ranked world's top 7 in R&D investment, top 12 in S&T paper publication and top 4 in patent application. Korean government enacted several pieces of legislation concerning S&T : the "Technology Transfer Promotion Act (1999)"; the "Framework Act on Science and Technology (2000)"; and the "Presidential Regulation for Managing the Government R&D Programs (2001)." In addition, the government has put a lot of effort into promoting the commercialization of technologies developed in public sector and improving the infrastructure of technology transfer and commercialization. However in spite of these various efforts, the technologies obtained from the public sector have not been transferred to the industry properly. Only 24.2% of technologies developed in the public for the year 2005 were transferred to industry. The royalty revenues of the public for the year 2005 was 1.5% of their total R&D expenditure. It shows only a third of the percentage of royalty revenues for the public sector in the U.S.A. and a second of Europe. There are many obstacles of public technology transfer such as immaturity of technology market, lack of licensing experience, and inadequacy of legal system and government policy. In this study I compared the Korean legislative system of patent management of government R&D outputs with the American system, derived problems from Korean system, and suggested proper alternatives.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.521-529
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• 2020

Forest fires are one of the most important environmental risks that have adverse effects on many aspects of life, such as the economy, environment, and health. The early detection, quick prediction, and rapid response of forest fires can play an essential role in saving property and life from forest fire risks. For the rapid discovery of forest fires, there is a method using meteorological data obtained from local sensors installed in each area by the Meteorological Agency. Meteorological conditions (e.g., temperature, wind) influence forest fires. This study evaluated a Data Mining (DM) approach to predict the burned area of forest fires. Five DM models, e.g., Stochastic Gradient Descent (SGD), Support Vector Machines (SVM), Decision Tree (DT), Random Forests (RF), and Deep Neural Network (DNN), and four feature selection setups (using spatial, temporal, and weather attributes), were tested on recent real-world data collected from Gyeonggi-do area over the last five years. As a result of the experiment, a DNN model using only meteorological data showed the best performance. The proposed model was more effective in predicting the burned area of small forest fires, which are more frequent. This knowledge derived from the proposed prediction model is particularly useful for improving firefighting resource management.

• Journal of Navigation and Port Research
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• v.32 no.8
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• pp.645-652
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• 2008

The interest on the marine leisure sports is rapidly increasing with the advent of the five-day week and with increments of GNP. The self-governing bodies are trying to drag large investments into the marine leisures industry through international exhibitions and yacht rallies. Unfortunately, the demands in the domestic area don't increase differently from those demand patterns in the advanced countries. In this study, several suggestions for vitalizations on the marine leisure industry are made after surveying the recognition degree of the domestic people on the marine leisures and the current states of their spending on the marine leisures. As results, it has been shown that the policies based upon negative factors coming from negative understandings on the leisure activities should be largely revised. Further, it seems that the policies for the preparations of the laws and the regulations for the marine leisures as well as for the R&D policies should be taken systematically so that the infra structures are constructed while improving the negative understandings on the leisures. The fundamental databases investigated in this study will help the policy makers and the investors reduce the risks of the policy and the investments in the field of marine leisure sports.

• Information Systems Review
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• v.7 no.1
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• pp.275-295
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• 2005

Changes in business environment caused by globalization of the world economy and the beginning of the knowledge society forced hospitals to equip with tools for the enhanced competitiveness. In other words, hospitals must aim three targets such as acquisition of advanced medical skills and equipments, improvement of service level for patients, and achievement of superior managerial performance simultaneously. This study has been done to suggest a way to reduce the possibility of hospital bill claim reduction as an alternative for the achievement of superior managerial performance. If the reduction rate of hospital bill claim is high, it will put negative impact on the hospital's revenue stream and hospital's reliability. Thus, if they want to stay competitive, hospitals need to device ways to cut the reduction rate as much as possible. In this study, a prototype system has been developed and implemented to check the possibility to cut the reduction rate through deep analysis of causes of reduction. The prototype first developed utilizing data mining techniques and the relation rules algorithm. Then the prototype was tested its performance using the D hospital's live data.

• Journal of Energy Engineering
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• v.18 no.2
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• pp.114-124
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• 2009

The Ministry of Knowledge and Economy (MKE) establishes the Basic Plan for Long-Term Electricity Supply and Demand(BPE) biannually, a governmental plan for the stable electricity supply. This study investigated the effects of the electric demand forecast on the energy mix. A simplified simulation model was developed, which replaces the WASP program developed by the KPX and verified by comparing both results. Three different electric demand scenarios were devised based upon the 2005 electric demand forecast: Proper, 5 % higher, and 5% lower. The simplified model calculates the energy mix for each scenario of the year 2005. Then it calculates the energy mix for the proper electric demand forecast of the year 2007 using the energy mixes of the three scenarios as the initial conditions, so that it reveals the effect of electric demand forecast of the previous BPE on the energy mix of the next BPE. As the proper electric demand forecasts of the year 2005 and 2007 are the same, there is no change in the previous and the next BPEs. However when the electric demand forecasts were 5% higher in the previous BPE and proper in the next BPE, some of the planned power plant construction in the previous BPE had to be canceled. Similarly, when the electric demand forecasts were 5% lower in the previous BPE and proper in the next BPE, power plant construction should be urgently increased to meet the increased electric demand. As expected the LNG power plants were affected as their construction periods are shorter than coal fired or nuclear power plants. This study concludes that the electric demand forecast is very important and that it has the risk of long term energy mix.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.139-150
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• 2017

In Korea, small and medium-sized enterprises (SMEs) play an pivotal role in the national economy, accounting for 99.9% of all enterprises, 87.9% of total employment, and 48.3% of production. In spite of their crucial role in the national development, most of SMEs suffer from a lack of R&D related resources. Public R&D organizations such as government-funded research institutes can provide SMEs with valuable supplementary technological knowledge and help them build technological capacity. In this regard, this study estimated the effect of internal R&D investment and private-public R&D cooperation on technological innovation of ICT SMEs based on 2016 ETRI Survey. Building on previous literatures, the study established and tested a research model using binary logistic regression analysis. First, internal R&D investment and preferences for open innovation demonstrated the strengthening of R&D collaboration. Second, internal R&D investment and R&D cooperation showed a positive effect on both product and process innovation. Therefore, internal R&D capability and taking advantage of R&D collaboration are needed to achieve technological innovation for SMEs in ICT sector. This study also discuss implications for encouraging private-public R&D cooperation.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.315-325
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• 2010

The issues on education as a human capital formation in recent years have been focused for all of the countries with emerging of the knowledge-based economy. The present study compared and analyzed the relationships between the educational investment and national economic growth of ten non-English-speaking OECD countries during 1970-2008, using Ordinary Least Square (OLS) and Seemingly Unrelated Regression Estimation (SURE) as the main analytical methods. Findings indicate that educational investment, R&D investment, and fertility rate were statistically significant in the estimation of the variables related to the human capital formation, and these elements had also positive influence on the national economic growth. The most salient factor was the fertility rate, and the R&D investment and educational investment appeared as the next factors in the national economic growth. In particular, the dimensions in the coefficient of the fertility rate showed 1.8 times of the R&D and 3.5 times of the educational investment, respectively. These results imply that educational investment, R&D investment, and the policies which promote fertility rate should be taken into account for the continuous economic growth of each country.

• Journal of the Korea Convergence Society
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• v.2 no.2
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• pp.47-56
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• 2011

Korea Ministry of Knowledge Economy has estimated that wind power (WP) will be occupied 37% in 2020 and 42% in 2030 of the new energy sources, and also green energies such as photovoltaic (PV) and WP are expected to be interconnected with the distribution system because of Renewable Portfolio Standard (RPS) starting from 2012. However, when a large scale wind power plant (over 3[MW]) is connected to the traditional distribution system, protective devices (mainly OCR and OCGR of re-closer) will be occurred mal-function problems due to changed fault currents it be caused by Wye-grounded/Delta winding of interconnection transformer and %impedance of WP's turbine. Therefore, when Double-Fed Induction Generator (DFIG) of typical WP's Generator is connected into distribution system, this paper deals with analysis three-phase short, line to line short and a single line ground faults current by using the symmetrical components of fault analysis and PSCAD/EMTDC modeling.

• Journal of the Korea Society for Simulation
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• v.21 no.1
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• pp.55-68
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• 2012

Recently it is important to understand service supply chain because the economy moves from manufacturing to services. However, most of existing supply chain research focuses exclusively on the manufacturing sector. To overcome this situation, it needs to investigate and analyze service supply chain. Simulation is one of the most frequently used techniques for analysis and design of complex system. Service supply chain is complex and large systems that require an accurate designing phase. Especially, it is important to examine closely the dynamically interactive behavior of the different service supply chain components in order to predict the performance of the servcie supply chain. In this paper, we develop a conceptual model of service supply chain. Then, we present a new procedure to develop simulation model for the developed conceptual model of service supply chain, based on the UML analysis and design tools and on the ARENA simulation language. The two main characteristics of the proposed procedure are the definition of a systematic procedure to design service supply chain and of a set of rules for the conceptual model translation in an ARENA simulation language. The goal is to improve the knowledge on service supply chain management and support the simulation model development efficiency on service supply chain.

• Journal of Service Research and Studies
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• v.8 no.2
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• pp.25-39
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• 2018

In the period of great change in human society, a change in educational services is also necessary. Thus, the current research investigates a new model of educational services to prepare people to be successful in an era of service and the fourth industrial revolution. We analyzed all the educational service models from the first educational institution, The Academy, founded by Plato to one of the most innovative institutions, Minerva schools. Then, we designed both an educational institution model and an educational service model that will cultivate and educate prospective students to be multidimensional to fit to the new upcoming eras. Since the era of service in the 21st century is also the era of job creation, we designed models focused on developing the broad knowledge and practical skills need to solve the most complex issues of our time. A new model was designed based on the results of the survey of existing major programs, analysis of the demands of the new generation, competency requirements, and etc. The newly designed conceptual model was improved from study focusing on tools to study that focuses on intrinsic discipline and competence, nurturing dream and imagination. In order to realize the new educational service, we developed technical conditions and a methodology for improving educational service performance. In the future, it is necessary to deepen the study and carry out research on implementing new educational service. In addition, an empirical study of the performance of the new model will also be needed.