• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.597-606
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• 2020

Because the USV(Unmanned Surface Vehicle) is capable of remote control or autonomous navigation at sea, it can secure the superiority of combat power while minimizing human losses in a future combat environment. To plan the technology for the development of USV, the trend analysis of related technology and the selection of promising technology should be preceded, but there has been little research in this area. The purpose of this paper was to measure and evaluate the technology trends quantitatively. For this purpose, this study analyzed the technology trends and selected promising/declining technologies using topic modeling of papers and patent data. As a result of topic modeling, promising technologies include control and navigation, verification/validation, autonomous level, mission module, and application technology, and declining technologies include underwater communication and image processing technology. This study also identified new technology areas that were not included in the existing technology classification, e.g., technology related to research and development of USV, artificial intelligence, launch/recovery, and operation, such as cooperation with manned and unmanned systems. The technology trends and new technology areas identified through this study may be used to derive key technologies related to the development of the USV and establish appropriate R&D policies.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.233-239
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• 2021

Recently, the COVID-19 virus has caused people to stay indoors longer without going out. As a result of this, people's activity decreased sharply, and their weight gained. So people became more interested in health. Home training can be an alternative method to solve this problem. Accordingly, To find out the trends of home training, we collected articles from December 1, 2019, to November 30, 2020, using the news provided by BIG KINDS, a news analysis system. We analyzed frequency analysis, relational analysis according to weighting, and related word analysis with the program using the algorithm developed by BIG KINDS. In conclusion, first, it was found that home training is led by technology and the emergence of artificial intelligence. Second, it can be assumed that people mainly do home training using content and video services related to mobile carriers. Third, people had a high preference for Pilates in the sports category. It can be seen that the number of patent applications increased as the demand for exercise products related to Pilates increased. In the next study, we expect that this study will be used as primary data for various big data studies by supplementing the research methodology and conducting various analyses.

• Journal of KIISE:Software and Applications
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• v.35 no.7
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• pp.431-441
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• 2008

The academic information analysis service is including automatic recommendation of reviewers and analysis of researchers' accomplishments. The service of recommendation of reviewers should be processed in a transparent, fair and accountable way. When selecting reviewers, the following information must be considered: subject of project, reviewer's maj or, expertness of reviewer, relationship between applicant and reviewer. The analysis service of researchers' accomplishments is providing statistic information of researcher, institution and location based on accomplishments including book, article, patent, report and work of art. In order to support these services, we designed ontology for academic information, converted legacy data to RDF triples, expanded knowledge appropriate to services using OntoFrame. OntoFrame is service framework which includes ontology, reasoning engine, triple store. In our study, we propose the design methodology of ontology and service system for academic information based on OntoFrame. And then we explain the components of service system, processing steps of automatic recommendation of reviewers and analysis of researchers' accomplishments.

• Convergence Security Journal
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• v.15 no.4
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• pp.27-33
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• 2015

In this paper, the development level of information security technology for internet of things(Iot), big data and clo ud services is analyzed, and the detail policy is proposed to be leader in area of patents and ICT standard. The conc ept of ICT convergence is defined frist, market and current state of technology for three convergence services is the n analyzed, and finally main function and security target for each technology are presented. The evaluation criteria a nd IPR are analyzed to diagnose the level of patent and standard for the technology. From the results, even though the domestic competence is inferior compared to other advanced country, the efficient policy should be presented by using our capability for the big data and cloud. Furthermore, the technology development for the IoT and cloud is ne eded in advance considering the market-technology influence effects. In addition to, M2M security framework in IoT, data security in big data and reliable networking in cloud should be developed in advance.

• International Commerce and Information Review
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• v.16 no.2
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• pp.279-296
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• 2014

This study focused on the Technology export of Korea SMEs. Therefore this study made an empirical analysis for investigating the competitiveness of technology export in Korea SMEs and using panel data 2003-2011 of technology trade data between 72 Countries. In particular, the study deduced the correlation between technology export in Korea SMEs using the variables of Gross Domestic Expenditure on R&D and Per capita GDP, distance, population, free-trade index, firm R&D against industry value added of country, Patent grants by country to USA fixed effect model in panel linear regression model. It is found that the Technology export of Korea SMEs made a significant effect on the per-GDP, Gross Domestic Expenditure on R&D. The results suggest that the study should use technology gap variables and the strategy for activating the Technology export of Korea SMEs should be made for future works.

• 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 Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.7
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• pp.891-900
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• 2019

In this paper, we investigate the relationship between IPR creation and export activity. And we try to examine the effects of IPR use as innovation on export performance. The dataset used in the empirical analysis are the annual "Survey of Business Activity(2006~2014)" panel data which include total of 6,144 samples of firms. Data set includes the sample characteristic such as employee, industry, export performance, possession/use/development of IPR. According to analysis results, this paper confirms that R&D and export activities of firms make positive effects on IPR creation. In addition, this paper finds that IPR use of firms make positive effects on firm's export performance. Exporting firms achieve higher export performance by developing new products and processes to enter and compete in overseas markets. In addition, exporting firms can achieve higher performance by using intellectual property rights to appropriate innovation outcomes in foreign markets and to exclude the possibility of patent disputes in advance.

• Journal of Korea Technology Innovation Society
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• v.10 no.4
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• pp.629-653
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• 2007

Korean government drives various programs to improve the performance of university-industry cooperation since 1998 such as BK 21(Brain Korea), NURI(New University for Regional Innovation), Connect Korea Program, and so on. We analyse the relationships between performance of university-industry cooperations and university competency factors(research competency and management competency) through multi-regression model, and propose policy implication. We used the basic data related to the performance of university-industry cooperation and university competency factors from Korean 61 universities. We set up some hypotheses and try to verify them with the method of multi-variable regression analysis including dependent variable(licensing fee, the number of technology transfers, the number of spin-offs) and independent variables(research competency, management competency). We, through this analysis, find both the research competency variables and management competency variables are significant to the performance of university-industry cooperation. Firstly, for licensing fee and the number of technology transfers, research competency variables such as the number of SCIE papers, the number of patent registration were significant, but management competency variables such as the scale of technology leasing organization, the number of specialist were not significant. Secondly, for the number of spin-offs management variables are significant, but research competency varialbles are not. These results imply that both the research competency and management competency of universities are the critical factors for the effective commercialization of university technology not only in United States but also in Korea. In the conclusion, we propose government drive university-industry cooperation policy to enhance the quality of research papers and patent as well as management capabilities of technology leasing organization.

• Journal of the Korean Regional Science Association
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• v.37 no.3
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• pp.3-18
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• 2021

The fourth Industrial Revolution is transforming the industrial structure of the region, and it is necessary to develop new industries and technologies that reflect regional characteristics. The purpose of this study is to measure the knowledge relatedness and technological complexity in Busan, Ulsan, and Gyeongnam, and to identify technologies with potential for regional industrial differentiation strategies. Using patent data from 2015 to 2019, co-occurrence matrices were derived from 652 IPC codes, and the knowledge relatedness density and technology complexity index were calculated. Network analysis was performed using the knowledge relatedness density. As a result of analysis, it was found that mechanical engineering occupied a large proportion, followed by chemistry and electrical engineering. As a result of applying the risk-benefit framework to derive technologies with the potential to differentiate local industries, the technological capabilities of low-risk-high-benefit were different. Among mechanical engineering, technologies such as engine, machine operation, and transportation were included in Busan. In Ulsan, environmental technology in chemical and materials, and heat treatment technology in mechanical engineering were technologies with low-risk and high-benefit capabilities. Gyeongnam showed competence in mechanical engineering, chemistry, and electrical engineering in some areas such as Gimhae, Yangsan, and Changwon. The results of this study are meaningful in that they identified technologies with potential for selecting and deriving strategic industries for regional growth based on latent knowledge in the region.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.141-149
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• 2019

The paper proposes a knowledge innovation performance model by the dynamic data envelopment analysis with slacks-based measure approach for evaluating the effectiveness of 30 regional knowledge innovation activities in China from 2010 to 2016. In recent years, China has paid more attention to knowledge innovation activities, as central and local governments have pushed on with their innovation projects by lots of investment whatever the difficulties may be. Decision-maker is usually interested in judge its knowledge innovation performance relative to target benchmark by exploring whether one provincial administration region performs better among others and/or if the growth of economy will be benefited greatly by the knowledge innovation activities. To acquire the managerial insight about this issue from a comprehensively designed performance evaluation model, knowledge innovation activity is conceptualized as an intertemporal production process. Invention patent and regional gross product are imposed on desirable outputs, highlighting the need for knowledge economy. The empirical result shows that knowledge innovation has a positive effect on economic development. At the same time, decision-maker should be interest in the economic effect of patents' type and quality. The government should then encourage new technical applications with greater commercial value from a market-oriented perspective, in order to benefit the most from the innovation process in the short-run.