• Korean Journal of Weed Science
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• v.16 no.4
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• pp.259-263
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• 1996

Occurrence and distribution of weeds were surveyed in autumn vegetable crops(Chinese cabbage, radish, cucumber and Welsh onion) in 16 cities or counties of Chungnam area during October and November 1995. Thirty weed species were occurred, and Rorippa globosa, Alopecurus aequalis var. amurensis, Stellaria media, Portulaca oleracea, Digitaria sanguinalis and Chenopodium album var. centrorubrum showed higher importance values among them. S. media, P. oleracea and A, aequalis var. amurensis were dominant in northwest coastal area, R globosa, D. sanguinalis and S. media in southwest coastal area, R globosa, A. aegualis var. amurensis and D. sanguinalis in northern area, and R globosa, A. aequalis var. amurensis and P. oleracea in southern area. S. media, R globosa and P. oleracea were dominant in Chinese cabbage fields, R globosa, Amaranthus retroflexus and S. media in radish fields, A. retroflexus, S. media and D. sanguinalis in cucumber fields, and R. globosa and P. oleracea in Welsh onion fields.

• Proceedings of the Korean Society of Crop Science Conference
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• 1999.05a
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• pp.194-195
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• 1999

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.2
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• pp.389-396
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• 2024

Generative AI has recently been utilized across all fields, achieving expert-level advancements in deep data analysis. However, identifying regional names in scientific literature remains a challenge due to insufficient training data and limited AI application. This study developed a standardized dataset for effectively classifying regional names using address data from Korean institution-affiliated authors listed in the Web of Science. It tested and evaluated the applicability of machine learning and deep learning models in real-world problems. The BERT model showed superior performance, with a precision of 98.41%, recall of 98.2%, and F1 score of 98.31% for metropolitan areas, and a precision of 91.79%, recall of 88.32%, and F1 score of 89.54% for city classifications. These findings offer a valuable data foundation for future research on regional R&D status, researcher mobility, collaboration status, and so on.

• International Area Studies Review
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• v.14 no.3
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• pp.290-311
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• 2010

This study aimed at exploring the primary motivations in the behavior of MNCs' setting up R&D Labs in China, four main subjective motivations were founded. R&D Labs consisted of the following four types: local market support Labs, local technology support Labs, global technology center, and internationally interdependent Labs.he choices of the R&D Lab type features are different because of the various R&D investment motivations. Provided that MNCs' investment motivations in China are in order to obtain Chinese markets and customers, local market support Labs are supposed to be chosen so as to support Chinese markets; provided that investment motivations are in order to gain talents and science and technology resources, global technology centers are supposed to be used to achieve the highest synergy result; provided that investment motivations win an absolute competitive advantage in China, local market support Labs are extremely necessary in preoccupying markets; last but not the least, provided that investment motivations are environmental owing to their instability, local technology support Labs are a good choice for their relatively low R&D expenses.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.188-195
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• 2008

This research analysis Regional industry development project of central government. Fortunately, South Korea government changed from efficiency-centered economic policy to balanced territorial economic development. Therefore, the purpose of this research is firstly to present how to development of regional industry, and secondly to analysis of effectiveness from regional industry development project.

• Journal of Technology Innovation
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• v.27 no.3
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• pp.27-52
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• 2019

This research studied the determinants of private R&D investment by examining the innovation strategies of 481 small and medium enterprises (SMEs, their employee size is 5 or more and less than 300) in Busan, South Korea. The data is derived from the Technology Survey of Small and Medium Enterprises in 2001 and 2003. Three explanatory variables for the innovation strategies are the R&D portfolio, the organization (personnel) for R&D, and the strategic role of CEO for innovation. The technological levels of industries are controlled in the linear regression model. The dependent variable is the total private R&D investment of a firm in the given fiscal year. The empirical results indicate that the private R&D investment positively correlates with the complexity of the R&D portfolio, the formal organization for R&D team, and the increase of R&D personnel. The formal organization for R&D team and the number of R&D personnel are correlated with the increase of private R&D investment across the four groups in the manufacturing sector but not in the service sector. These findings suggest that the innovation policy needs to target firms who have complex R&D portfolios, the formal organization of R&D teams, and sufficient R&D personnel in order to increase the private R&D investment of SMEs in regions, with consideration of industrial characteristics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.202-210
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• 2014

This paper is to discover selection indicator for academia-industrial cooperation R&D project. Existing Project lacks careful consideration for participant enterprise. But, This project must be focused on enterprise for the goal of project is to improve business competition. Therefore, we analyze the survey result of enterprise satisfaction and deduct the factor of satisfaction by statistical analysis like One-way ANOVA and Regression. The study says that collaboration time, the time of planning of commercialization, technology transfer and the level of goal achievement improve enterprise satisfaction. And it implies needs for plan of manpower input and commercialization at the selecting phase. This paper is significant that it can improve project system by satisfaction. We expect that this result is utilized by planning and management.

• Journal of Technology Innovation
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• v.18 no.1
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• pp.99-121
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• 2010

The goal of this paper is to analyze the effects of various firm characteristics on the probability for a firm to receive government’s financial supports for R&D. In the empirical analysis, a Probit model is estimated for the 2008 Korea Innovation Survey data. The main contribution of the paper is to investigate the distribution of R&D supports at the national level, instead of the program level. Especially, it is the first academic effort to evaluate the effects of regional and industrial variables. The results show that: (1) firm size and export increase the probability of receiving government’s R&D support; (2) variables measuring firms’ innovative ability, such as official designation as innovative firm, running R&D institute, number of R&D personnel, also have significantly positive effects; (3) firms in the chemical and automobile industries are more likely to receive R&D supports; and (4) firms in Teakyoung and Bukyoung regions are more likely to receive R&D supports.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2006.11a
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• pp.191-195
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• 2006

국내와 북미 지역에서 ATSC DTV 방송 서비스가 시작된 이래 수신 성능을 개선하기 위한 계속적인 노력이 경주되어 왔다 [1]-[6]. 본 논문에서는 2005 년 8 월 캐나다 CRC (Communications Research Center) 센터의 테스트 결과를 토대로 최신 ATSC 수신기의 성능을 고찰해 보고자 한다 [4]. CRC 테스트는 수신 감도, 다중 경로 환경에서의 수신 성능, 간섭 신호에 대한 강건성 등 다양한 항목에 걸려 실시되었으며, A/74 권고안에 기술된 난시청 지역의 50 개 신호 샘플에 대한 성능 평가를 포함하고 있다. 테스트에 사용된 ATSC 수신기는 당사에서 개발한 최신 칩 (GEMINI)을 탑재한 것으로 파일럿 (pilot) 신호가 손상된 경우에도 안정적인 동기 획득이 가능하며 현존 수신기 중 가장 넓고 강력한 반사파 (ghost) 제거 성능을 보유하고 있다. CRC 테스트 결과와 국내외 필드테스트 결과는 최신 ATSC 수신기가 A/74 권고안뿐만 아니라 각종 성능 지표에서 이전 수신기에 비해 대폭 개선되었음을 확인시켜 준다.

• 한국디지털정책학회:학술대회논문집
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• 2006.12a
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• pp.237-255
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• 2006

국내 정부부처 및 지역자치단체에서 수행하고 있는 연구개발 프로젝트의 선정과 평가에 관한 연구는 광범위하게 이루어지고 있다. 그러나 각 정부 부처별로 실시하는 평가프로세스와 지표의 경우 부처별 특성과, 과제의 특성을 반영하기 위한 프로세스와 지표를 개별적으로 보유하고 있으나, 과제의 평가를 수행하는 조직의 규모나 지역적 특색을 반영하기 어렵다.본 연구는 C 지역의 테크노파크(TechnoPark) 사업자가 수행하는 지역 자치단체 중심 R&D 프로젝트의 특성과 지역적인 특색을 반영한 평가관리 시스템을 개발하고자 한다. 본 연구에서는 먼저 국내 출연연구기관 및 정부부처에서 수행하는 평가시스템의 특성을 파악하고, 각 기관에서의 평가프로세스와 평가지표들을 조사하여 공통적/개별적 특성을 분류하였다. 분류된 프로세스와 지표들과 C 지역의 지역/산업적 특색을 분석하고 C 지역에서 수행한 3년간의 모든 과제에 대한 분석을 수행하여 지역적인 특색을 반영한 평가프로세스와 지표를 도출하였다. 또한 연구개발 프로젝트의 선정평가를 위한 사전 기술성 평가를 위한 기술가치평가와, 프로젝트의 수행결과 이후 나타나는 부가적인 효과를 분석하기 위하여, 프로젝트단위의 균형성과지표를 적용하여 프로젝트의 사후/추적관리 방안을 제시하고자 한다.