• Journal of the Korean Regional Science Association
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• v.31 no.4
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• pp.47-69
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• 2015

The purpose of this study is to analyze regional spatial distribution and characteristics with the Talent Magnet Potential Index(TMPI), which is calculated through the extra-regional talent attracting environment(Magnet factors) and intra-regional talent cultivating environment(Incubator factors) of each region. As a result, Seoul, Daejeon, Gyeonggi, Ulsan etc. ranked highest, and regions developed in knowledge-based services, R&D capability, and manufacturing turned out to have a higher TMPI. The regions were categorized into 4 types, and the regional type analysis showed that the cumulative effects of Type I(Talent comparative advantage type) and Type III(Talent absolute shortage type) contribute to widening the economic gap among these regions. In addition, although the metropolitan based Type IV(intra-regional talent dependant type) had excellent talent training capability, there seemed to be an outflow of talent into Type I or Type II(extra-regional talent dependant type). This paper has done a correlation analysis to test the validity of the TMPI. As a result, the correlation between talent by type and TMPI turned out to be very high. The correlation coefficient with 2T turned out to have the highest correlation, showing that tolerance contributes a much greater deal to talent attracting and training than expected. Finally, based on the main analytical results, implications for talent attraction & training policy projects and 7 improvement plans have been proposed.

• Research in Plant Disease
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• v.15 no.3
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• pp.198-201
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• 2009

Bacterial wilts, caused by Ralstonia solanacearum, is a very destructive disease to tomato plants (Solanum lycopersicum) in Korea. Selection of resistant cultivar is the best way to prevent or reduce the occurrence of this disease. Thirty-nine tomato cultivars, twenty-one cherry tomato cultivars and thirteen rootstock tomato cultivars were inoculated with Ralstonia solanacearum, to evaluate tomato cultivars for resistance against bacterial wilts. Thirty-seven cultivars were highly susceptible to bacterial wilts and 61-100% of their whole tissue became wilted within 10 days after inoculation. Twenty-four cultivars showed moderate resistance and twelve were resistant to bacterial wilts. In an evaluation of 73 major commercial cultivars, 'Lilyance', 'TP-7', 'Choice', 'Dadaki', 'Akiko', 'Redstar', 'Match', 'B-blocking', 'Magnet', 'Support', 'Friend' and 'Special' were found to have a high level of resistance to bacterial wilts of tomatoes.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.140-145
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• 2010

In this work, to theoretically analyze the nonlinear charging characteristic, a Radial Basis Function Neural Network (RBFNN) is adopted. Based on the RBFNN, an charging characteristic tendency of a Linear Type Magnetic Flux Pump (LTMFP) is analyzed. In the paper, we developed the LTMFP that generates stable and controllable charging current and also experimentally investigated its charging characteristic in the cryogenic system. From these experimental results, the charging current of the LTMFP was also found to be frequency dependent with nonlinear quality due to the nonlinear magnetic behaviour of superconducting Nb foil. On the whole, in the case of essentially cryogenic experiment, since cooling costs loomed large in the cryogenic environment, it is difficult to carry out various experiments. Consequentially, in this paper, we estimated the nonlinear characteristic of charging current as well as realized the intelligent model via the design of RBFNN based on the experimental data. In this paper, we view RBF neural networks as predominantly data driven constructs whose processing is based upon an effective usage of experimental data through a prudent process of Fuzzy C-Means clustering method. Also, the receptive fields of the proposed RBF neural network are formed by the FCM clustering.