• Journal of Technology Innovation
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• v.5 no.2
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• pp.48-79
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• 1997

This study aims to evaluate and identify the patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexse were used. It was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five types was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.155-173
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• 2009

Budget for the industry-university co-operation is expanded by the increasing of the importance of industry-university co-operation. Even though, industry and university do not co-operate voluntarily. Until now, there is no research about industry-university co-operation focusing on SMEs. This paper is about industry-university co-operation focusing on SMEs. In this paper, we introduce the status and structural problems of industry-university co-operation related with SMEs. And we derive the problems of industry-university co-operation in terms of co-operation purpose. Industry-university co-operation in terms of co-operation purpose can be categorized as R&D, technology transfer, infrastructure, and manpower training. And last, we suggest how we improve the industry-university co-operation system to benefit SMEs.

• Proceedings of the Technology Innovation Conference
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• 1997.12a
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• pp.197-228
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• 1997

This study aims to evaluate and identify the Patterns of the technological competitiveness of the Korean industry. Such statistics as R&D expenditure and R&D manpower as input indexes, US patent registrations and export sales as output indexes were used. it was turned out that such industrial types as specialized-suppliers industries, scale-intensive industries and science-intensive industries showed relatively strong technical competitiveness. However, resource-intensive industries and labor-intensive industries which had maintained a competitive advantage in the 1970s and the 1980s appeared to be gradually losing their technological competitiveness. These results are by and large in accordance with the trends of export performance. This study conducted the canonical discriminant analysis in order to test the correctness of the patterns displayed in the technological competitiveness of the Korean industry. The result of the analysis showed that the five patterns of technical strength of the Korean industries are significantly independent each other for four respective variables which are used to distinguish industries. This implies that the ex ante industrial classification into five typers was correct in terms of the ex post statistics, and that the patterns of technological competitiveness discovered in this study are also statistically correct.

• Agribusiness and Information Management
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• v.7 no.1
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• pp.1-9
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• 2015

The purpose of this study is to develop a growth prediction model that can predict growth and development information influencing the production of citrus fruits: the growth model algorithm that can predict floral leaf ratio, number of fruit sets, fruit width, and overweight depending on the main period of growth and development with consideration of the applied weather factors. Every year, large scale of manpower was mobilized to investigate the production of outdoor-grown citrus fruits, but it was limited to recycling the data without an observation supporting system to systemize the database. This study intends to create a systematical database based on the basic data obtained through the observation supporting system in application of an algorithm according to the accumulated long term data and prepare a base for its continuous improvement and development. The importance of the observed data is increasingly recognized every year, and the citrus fruit observation supporting system is important for utilizing an effective policy and decision making according to various applications and analysis results through an interconnection and an integration of the investigated statistical data. The citrus fruit is a representative crop having a great ripple effect in Jeju agriculture. An early prediction of the growth and development information influencing the production of citrus fruits may be helpful for decision making in supply and demand control of agricultural products.

• Journal of the Health Care and Life Science
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• v.11 no.1
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• pp.67-77
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• 2023

This paper aims as a prior study to cultivate artificial intelligence professionals at the level of colleges in the future by analyzing healthcare services and technologies using artificial intelligence technology. As artificial intelligence technology is recognized as a key engine or core technology in the future that will create national competitiveness and added value, advanced countries are investing a lot of attention and support in developing technologies as well as human resources at the national level. Korea is also promoting national-level R&D manpower training projects such as AI graduate program support projects, and investing heavily in fostering and securing its own artificial intelligence personnel, mainly by large companies, but there is a lack of artificial intelligence experts. This study analyzes the current status of healthcare services and technologies, industries, and artificial intelligence manpower training using artificial intelligence technology, and proposes directions for fostering artificial intelligence personnel at the level of colleges.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.175-189
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• 2020

Daejeon City has strived to support the SMEs to innovate technologies based on the capabilities of research and development of the Daedeok Innopolis. It is widely known that technological innovation is the key strategy of Small medium enterprises(SME) to survive and succeed in a market. This study aims to analyze the type and determinants of SME technological innovation in Daejeon. Even though most of firms are the small enterprises which employ less than 10 workers in Daejeon, the number of technology-oriented company per capita in Daejeon is highest in South Korea. The type of technological innovation is divided between product innovation and process innovation. The literature insists that technology-oriented small firm tends to implement product innovation rather than process innovation. SMEs in Daejeon also provided more output from product innovation than process innovation. The empirical analysis provided the results that the determinants of SME's technological innovation depends on its type. The scale of firm, R&D investment, and R&D employees positively influence product innovation of SMEs in Daejeon. However, the impact of R&D employees is not significant on innovating the existing product. Process innovation is positively affected by R&D investment and firm age. The study provides the policy implications to business supporting programs of Daejeon government. The business supporting policy of Daejeon government should focus on supporting each type of technological innovation to promote technological innovation by SME and consider strategies that focus on R&D investment and manpower support.

• Journal of the Korean association of regional geographers
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• v.13 no.1
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• pp.104-117
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• 2007

According to the evolution of knowledge based economy, the expansion of significance of high-tech and technical innovation, in recent, many of local government of Korea have concern on the establishment and promotion of new growth power such as technopolis, science park, and innovative clusters for regional development. This study focuses on the establishment strategy for R&D special district in Gwangju area. Gwangju area have many potentials in several dimensions; comfortable physical environment, new agglomeration of photonics and household electric industry, the existence of excellent research related manpower, the strong networking with universities, laboratories, and firms. In addition, the establishment of R&D special district in Gwangju area will be provide positive effects in the increase of competitiveness of state, balanced development between regions, revitalization and development of southwestern area, and establishment of innovative clusters for regional development. However, in order to promote and establish the R&D special district of Gwangju area, central and local governments have to concern with some improvements such as the construction of R&D related infrastructure, the strengthening of research activities of research institutes, the building of cluster of strategic industries of Gwangju area, the supporting system for the revitalization of R&D special district.

• Journal of Advanced Navigation Technology
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• v.25 no.5
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• pp.377-383
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• 2021

In this paper, we describe the case of automatic test equipment development for hardware verification of stores management computer mounted on aircraft. Recently, the required functions of aircraft have been diversified and the related technologies of avionics equipment have developed, and the types and quantity of interfaces required for avionics equipment have increased. In addition to the existing old stores, the stores management computer also needs to control the interface in large quantities as the requirements for the new stores are added. For this reason, the time and manpower required for the inspection of avionic equipment are also increasing, and if the test process of avionic equipment can be automated and unmanned, more efficient inspection system operation will be possible. Therefore, this paper introduces the case of designing test software and test scenario to automate the structural design contents and verification process of test equipment required for the verification of hardware function of stores management computer.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.37-49
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• 2023

The purpose of this study was to determine the correlation between the COVID-19 related post-traumatic stress, nursing work environments, and the resilience among nurses in Tertiary General Hospitals. Data were collected from 155 nurses who directly cared for COVID-19 patients and were working at the K University D Hospital in D Metropolitan City using an online survey. The SPSS 28.0 program was used for data analysis. Based on the results of the survey, post-traumatic stress showed a significant negative correlation with the nursing work environments(r=-.17, p<.001), and the nursing work environments showed a significant positive correlation with the resilience of nurses(r=.20, p<.001). Through the results of this study, it is necessary to improve the nursing work environments for managing post-traumatic stress, to build an active support system by securing manpower from the government, and to develop and apply intervention programs for improving the resilience of nurses in the COVID-19 situation.

• Journal of Forest and Environmental Science
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• v.24 no.1
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• pp.15-25
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• 2008

Social and scientific changes, i.e., global warming, desertification, pollution, biodiversity, bioenergy, plant variety protection, biotechnology, timber demand, reforestation in North Korea, and etc., were reviewed for new strategy of forest tree breeding in Korea. Diversified breeding goals, globalization of breeding target species, multidisciplinary research approaches, manpower networking, establishment of new administrative and research units in KFS and KFRI were proposed. Principles suggested for new tree breeding strategy are: 1) multi-disciplinary approach in settlement of objectives, breeding methods, and etc., 2) expansion of target trees including foreign species, 3) fulfillment of both domestic and international demands for forest tree breeding, 4) establishment of breeding program well-grounded on genetic resources conservation, 5) acknowledgement of breeding products (i.e., variety, technique, gene, and etc.) as goods, and 6) provision of more research opportunities for young scientists. Lastly, ongoing tree breeding project in Indonesia and NTFP R&D Center at the College of Forest and Environmental Sciences, Kangwon National University were introduced as examples of desirable breeding projects based on target species diversification, multidisciplinary approach, and manpower networking.