• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.281-294
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• 2021

Purpose - The purpose of this study was verifying the policy effects by field of innovative growth engines, focusing on the discussion of the relationship between government support and corporate R&D activities (substitute/complementary goods), and based on the results, policy recommendations for promoting private R&D were carried out. Design/methodology/approach - Through literature research, academic/theoretical discussions about relationship between government support and corporate R&D activities were synthesized. Next, survey data were collected for companies engaged in the field of innovative growth engines and empirical analysis was conducted on the relationship between government support and R&D activities in 13 major sectors. Findings - First, as a result of analyzing all companies regardless of sector, government R&D subsidies had a positive (+) relationship with R&D activities of companies engaged in innovative growth engines, that is, a complementary relationship. Next, as a result of performing empirical analysis by dividing the 13 fields, it was found that 9 fields were complementary goods in which government support had a positive (+) effect on the R&D activities of companies. On the other hand, in the remaining four fields, the effect of government support on corporate R&D activities was not statistically significant. Research implications or Originality - In order to promote R&D activities of companies in the 9 fields where government support acts as a complementary product, it is necessary to establish policies centered on direct government support. On the other hand, it would be more desirable to seek indirect support rather than direct support in the 4 fields where government support did not have a statistically significant effect on corporate R&D activities.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.228-229
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• 2019

Autonomous Ships are emerging as a game changer that transform the paradigm in the traditional manufacturing-oriented shipbuilding and shipping industries of simple cargo transportation. Accordingly, this paper also introduced detailed plans to develop the autonomous ships and to promote innovative growth engines.

• Journal of Korea Trade
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• v.26 no.3
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• pp.63-78
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• 2022

Purpose - This study's purpose is to analyze which factors are more important to strengthening the competitiveness of global innovative companies by firstly sampling global 40 enterprises, secondly investigating of study models empirically, thirdly finding out significant implications through research, and finally using this result to help improve global companies' competitive edges. Design/methodology - Developing three research models of hypothesis and using 5 variables such as technology innovation, knowledge management, human resource development, sustainable management, and corporate life, this study was empirically carried out by reliability and validity testing, correlation analysis of variables, and multiple regression analysis of three research models. Findings - Through proceeding empirical analysis study, we found out that technology innovation and sustainable management had a significant impact on strengthening competitiveness through the hypothesis test. Those two factors had positive results and a synergy effect through correlation analysis along with process change and human resource development, which are also important areas in global innovative companies. Originality/value - In line with the fourth industrial revolution era's acceleration and COVID-19's large impact on all industries, global companies are newly developing their business models to cope with external environment change. This study's results would be meaningful for global enterprises and domestic companies to improve their overall competitive edge by reinforcing their innovation strategy, preparing next growth engines, diversifying business portfolios, and setting business milestones.

• Journal of the Korean Institute of Rural Architecture
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• v.22 no.2
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• pp.35-42
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• 2020

The new urbanization is one of prestige growth engines to lead the next generation of China economy, it promotes new sustainable urban development models guided by various planning polices to improve urban livability and sustainability in accommodation with economy, social, and environmental consideration. The expanding urban periphery to rural area should leverages existing assets, infrastructure, local context and plans as a showcase of environmental and economic balance in a responsibly high-density, green community designed to human development and ecological settlement. The Beijing Chaoyang District and Tianjin Binhai area are a strategic advancement in the policy of building one of the most powerful economic regions, the Bohai Rim. Recently released 'Jingjinji development plan' supports various urbanization policies and encourages sustainable developments including 2 significant city center projects which are under way in global attention. The study compared on the characters of development policies and the cutting-edge smart design strategies by which they are applied, the master plan of the Beijing Chaoyang District expansion plan and Tianjin Yujiapu CBD project embrace innovative sustainable technologies.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.406-412
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• 2022

Storing large amounts of data has always been a big problem from the beginning of computing history. Big Data has made huge advancements in improving business processes by finding the customers' needs using prediction models based on web and social media search. The main purpose of big data stream processing frameworks is to allow programmers to directly query the continuous stream without dealing with the lower-level mechanisms. In other words, programmers write the code to process streams using these runtime libraries (also called Stream Processing Engines). This is achieved by taking large volumes of data and analyzing them using Big Data frameworks. Streaming platforms are an emerging technology that deals with continuous streams of data. There are several streaming platforms of Big Data freely available on the Internet. However, selecting the most appropriate one is not easy for programmers. In this paper, we present a detailed description of two of the state-of-the-art and most popular streaming frameworks: Apache Ignite and Hazelcast. In addition, the performance of these frameworks is compared using selected attributes. Different types of databases are used in common to store the data. To process the data in real-time continuously, data streaming technologies are developed. With the development of today's large-scale distributed applications handling tons of data, these databases are not viable. Consequently, Big Data is introduced to store, process, and analyze data at a fast speed and also to deal with big users and data growth day by day.

• Journal of Biomedical Engineering Research
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• v.44 no.4
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• pp.225-241
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• 2023

The study empirically analyzed the differences in industry distribution and innovation activity performance in the metropolitan and non-metropolitan areas of Korea's bio companies, which are highlighted as future growth engines. The main innovation activities of the bio industry, which are focused on science and technology and expressed with high uncertainty, were analyzed, centering on human resources, technology cooperation, and investment promotion. As a result of the analysis, the biomedical industry in the metropolitan area was found to have a high proportion, and bio foods, bio-based chemicals, and energy industries in the non-metropolitan area, respectively. Moreover, the innovation activity performances differed between the two regions. In particular, the notable characteristics included human resources, investment promotion, and technical cooperation with medical institutions in the metropolitan area with a high proportion of biomedical industries, and technology personnel exchange and cooperation with private research institutions in the non-metropolitan area, which has a high proportion of bio foods, bio-based chemicals, and energy industries. This study is significant in that it is the first study to compare and analyze the performance of innovative activities based on the distribution of industries in the bio-industry, focusing on human resources, technology cooperation, and investment promotion. In addition, after investigating the distribution status and competitiveness of the domestic bio-industry by region, it will analyze the status and characteristics of the domestic bio-industry and present policy implications to implement relevant promotion policy more efficiently.

• The Journal of Bigdata
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• v.6 no.2
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• pp.109-124
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• 2021

In this paper, the structural characteristics of Industry-University cooperation networks are analyzed using network analysis. Recent studies have shown that technological cooperation and joint research has a positive effect on R&D performance. In order to boost innovation performance, various types of cooperative activities and governmental policy supports for major R&D stakeholders(i.e. universities, laboratories, etc.) are provided. However, despite these efforts, the outcome is still insufficient, so it is time to prepare for a plan to build an innovative network to strengthen university-centered Industry-University cooperation activities. Specifically, this study builds the networks according to the form of Industry-University cooperations(i.e. patent, paper, joint research, and technology transfer), and different types of Industry-University cooperation networks are analyzed from a statistical viewpoint by using QAP correlation and regression analyses. The analysis results show that joint research network is closely related to paper network, and is related to other Industry-University cooperation networks. This study is expected to shed a light on supporting innovation activities such as establishing Industry-University cooperation strategies and discovering cooperative partners necessary for creating new growth engines for universities.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.89-98
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• 2017

The dynamic entrepreneurial activities of small businesses or individual entrepreneurs seeking to enter the global market based on innovative ideas and challenging spirit in the modern society, which is trending in entrepreneurial capitalism according to the times, Leading to new growth engines. In order to promote the establishment of universities in Korea, the government has been working on 'Five-Year Plan for University Entrepreneurship Education(2013-2017)', 'Efficiency of Government Start-up Support in 2015', and 'Five-Year Basic Plan for Activation of Industry-University Cooperation(2016-2020)'. However, there are still practical limitations in spite of the efforts made by universities and research institutes to revitalize start-ups. As a way to overcome these limitations, this study aims to systematize the entrepreneurship education of the university, and examines the role of changing universities and theory of clusters and the entrepreneurship education. In addition, we will look at the factors of creative university culture centering on the representative cases of the Innovation University in US, and present a conceptual framework for cluster-based entrepreneurship education for the purpose of 'successful entrepreneurship' which is different from 'start-up success'. The conceptual framework of cluster-based entrepreneurship education is based on the establishment of 'Integrated Entrepreneurship Education Platform' to revitalize start-ups centered on university technology. At the same time, this framework focuses on the three factors of talent, technology, and culture based on the relevant theories and examples, and emphasizes the clustering of entrepreneurial resources, entrepreneurial policies and leadership that should be involved in entrepreneurship education.

• International Area Studies Review
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• v.22 no.4
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• pp.145-166
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• 2018

This study is due to global competition, the wall between regions is disappearing, customer needs are diversified, and market and technology are rapidly changing. Future growth engines, the importance of convergence capabilities for industrial competitiveness is being emphasized more. Therefore, companies should seek innovative means to increase the efficiency of the company by establishing optimized global management environment and establishing direction and strategy for utilization of convergence technology by improving industrial competitiveness. Firms must adopt and utilize related new technologies by strengthening their convergence capabilities through dynamic capabilities that are internal resource bases for new product development and process innovation. Globalize markets and technologies can expect higher innovation performance when aligning strategic direction with formalized technology competencies held by the firm and incorporating the convergence capabilities needed for technological innovation into processes. The study focuses on the effects of market and technology orientation on technological innovation performance, whether dynamic and convergence capabilities affect technological innovation performance, and dynamic and convergence capabilities to mediate between market and technology orientation. For the study, we surveyed 51.4% of global and multinational corporations that are internationally active or headquartered overseas. Based on the previous studies, hypotheses were established and the collected data were analyzed through utilization path analysis and Sobel test.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.3
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• pp.169-175
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• 2022

Korea's construction industry has a shortage and aging of construction manpower, low productivity compared to other industries, and a high rate of industrial accidents. The Ministry of Land, Infrastructure and Transport is preparing for the 4th industrial revolution and is expanding investment in construction automation and innovative growth engines to improve productivity in the construction industry. In order for new technologies to be utilized in the road construction field, the accuracy of the technologies and the applicability of each type of work must be evaluated. In this study, the accuracy of the mobile mapping system was tried to verify based on the relevant work regulations, and to suggest the applicability of the mobile mapping system to high-speed driving tracks through data acquisition and analysis on road construction sites. The accuracy of the equipment used in the study was verified in accordance with the relevant work regulations, and the possibility of applying the mobile mapping system used for the study to road construction surveying was presented with a maximum error of less than 10cm in the horizontal and vertical directions. In addition, the possibility of utilizing the road construction survey using the mobile mapping system was presented through comparison with the existing method for data acquisition time for construction surveying, production of construction status survey results, and calculation of heatmap and earthworks. In the future, the use of construction status surveying of the mobile mapping system will greatly improve the efficiency of construction work.