• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.1
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• pp.59-66
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• 2007

In this paper, we consider the non-fragile robust guaranteed cost state feedback controllers design method for descriptor systems with parameter uncertainties and static state feedback controller with multiplicative uncertainty. The sufficient condition of controller existence, the design method of non-fragile robust guaranteed cost controller, the measure of non-fragility in controller, the upper bound of guaranteed cost performance measure to minimize the guaranteed cost are presented via LMI(linear matrix inequality) technique. Also, the sufficient condition can be rewritten as LMI form in terms of transformed variables through singular value decomposition, some changes of variables, and Schur complements. Therefore, the obtained non-fragile robust guaranteed cost controller satisfies the asymptotic stability and minimizes the guaranteed cost for the closed loop descriptor systems with parameter uncertainties and controller fragility. Finally, a numerical example is given to illustrate the design method.

• Journal of Korea Technology Innovation Society
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• v.16 no.2
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• pp.424-443
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• 2013

National Research Foundation of Korea (NRF) provides underpinning to boost international and domestic competitiveness in basic science and engineering (S&E) research. In 2012, NRF came up with the idea about implementing koreanized grant funding system and a NRF grant funding mechanism on basic research was applied to General Researcher program. The main components of the mechanism are 1) no final evaluation, instead intensive evaluation for next proposal submission, 2) no paper account report, instead reporting it online, 3) no lengthy final report, instead unloading a brief overview of research achievements. For successful establishment of the NRF grant funding mechanism, the quality and quantity-based quantitative guidelines of research achievement for various research areas are essential. In this study, we suggest 3 quantitative indexes and these quantitative guidelines provides a supplementary tool for researcher's capability review. These guidelines will be also useful to elevate the reliability and objectivity of peer review.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.249-255
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• 2020

This study is to analyze the relations between management performance and publicness of national university hospitals. The data from 2015 to 2017 were collected from annual reports and balancing accounts in 13 national university hospitals. The results of the study were as follows. Publicness index was found to have a negative(-) effect on net profit to gross revenues, operating margin. Medical social work had a significant positive(+) effect on normal profit to gross revenues, net profit to gross revenues. According to the location of the hospitals, it was found to have a significant effect on the normal profit to gross revenues. It is necessary to evaluate different projects of national university hospital in the public sectors. Based on this, it is necessary to re-establish the role for the purpose of establishment.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.55 no.2
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• pp.105-110
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• 2010

This study was conducted to analyze the relationships between resistance of brown planthopper and traits related to the lodging in rice. For the linkage analysis of traits tested in this study, a genetic linkage map was created with 162 DNA markers spanning 12 rice chromosomes based on 120 doubled haploid (DH) lines, which were derived from a cross between Samgang', a Tongil type cultivar with BPH resistance, and ‘Nagdong’, a japonica cultivar. QTLs were identified to analyze the agronomic traits including lodging by composite interval mapping. Thirteen QTLs were detected for five traits comprised of plant length (PL), 3rd internode length (3rdIL), moments (Mo), lodging index (LI), and breaking weight (BW). The relationships between the BPH resistance and agronomic traits including lodging revealed that two QTLs (qBPR7, qBPR8) were linked to traits related to lodging. Two QTLs, qBPR7 and qBPR8 on chromosome 7 (RM531-7042) and 8 (RM1148- RM544) showed associations with moments and 3rd internode length, respectively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.151-160
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• 2020

The purpose of this study was to investigate the moderating mediation effect of resilience, on the relationship between emotional intelligence and self-efficacy in career decision-making of nursing students. The participants were 136 nursing college students in the Jeonbuk region. Data was collected in September 2020 via a structured questionnaire survey. The data was analyzed using the SPSS/23.0 program. The analysis used descriptive statistics, Pearson's correlation coefficient, independent t-test, one-way ANOVA, multiple regression analysis, and Sobel's tests. The results showed that emotional intelligence was a circle activity (F=3.13, p=.047), and motivation to nursing (F=4.16, p=.008). Resilience was a circle activity (F=5.50, p=.005), and nursing major satisfaction (t=2.19, p=.031). Career decision-making self-efficacy showed significant differences in grade (F=3.12, p=.048) and major satisfaction (t=2.36, p=.020). Emotional intelligence and resilience (r=.63, p<.001), emotional intelligence and career decision-making self-efficacy (r=.67, p<.001), resilience and career decision-making self-efficacy (r=.76, p<.001) showed significant static correlation. In emotional intelligence and career decision-making self-efficacy, resilience had a partial mediating effect (Z=6.48, p<.001), and explanatory power was 62.2%. Based on the results of this study, to improve the emotional intelligence and career decision-making self-efficacy of nursing students, it is necessary to develop a personalized and resilience-enhanced education program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.266-273
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• 2015

We studied the financial performance of ammunition stockpile reliability program on the Defense Management. We proposed the direct effect analysis, the indirect effect analysis and the combat power reinforcement effect as the financial performance analysis methodology. And, we estimated the financial performance using the proposed methods and the data of 2013 ASRP's data The financial performance by direct effect and indirect effect analysis was 99.96billion won and 303.7billion won. Also, The financial performance by reinforced Combat power reinforcement was 12.06 billion won. Therefore, the total financial performance of Ammunition Stockpile Reliability Program was 52.43 billion won.

• Korean Journal of Construction Engineering and Management
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• v.11 no.6
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• pp.78-88
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• 2010

Since the larger and complex construction projects are performed, project performance measurement is highlighting the importance to eliminate inefficiencies and plan to reasonable management practices. So many researchers are conducting research about the project critical sucess factor. But, these factors are mixed both management practices to improve performance and native project characteristics. Therefore performance measurement data couldn't apply to another project successfully. And the project characteristics affect project performance. But contractor couldn't change characteristics. This study provides a project characteristics's definition and classification. This study provides a quantitative level of performance improvement difficulty through out project manager survey. The contractor can estimate a level of performance difficulty through initial project information. With this, project contractor can more efficiently manage project.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.65-82
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• 2021

Stock market investors are generally split into foreign investors, institutional investors, and individual investors. Compared to individual investor groups, professional investor groups such as foreign investors have an advantage in information and financial power and, as a result, foreign investors are known to show good investment performance among market participants. The purpose of this study is to propose an investment strategy that combines investor-specific transaction information and machine learning, and to analyze the portfolio investment performance of the proposed model using actual stock price and investor-specific transaction data. The Korea Exchange offers daily information on the volume of purchase and sale of each investor to securities firms. We developed a data collection program in C# programming language using an API provided by Daishin Securities Cybosplus, and collected 151 out of 200 KOSPI stocks with daily opening price, closing price and investor-specific net purchase data from January 2, 2007 to July 31, 2017. The self-organizing map model is an artificial neural network that performs clustering by unsupervised learning and has been introduced by Teuvo Kohonen since 1984. We implement competition among intra-surface artificial neurons, and all connections are non-recursive artificial neural networks that go from bottom to top. It can also be expanded to multiple layers, although many fault layers are commonly used. Linear functions are used by active functions of artificial nerve cells, and learning rules use Instar rules as well as general competitive learning. The core of the backpropagation model is the model that performs classification by supervised learning as an artificial neural network. We grouped and transformed investor-specific transaction volume data to learn backpropagation models through the self-organizing map model of artificial neural networks. As a result of the estimation of verification data through training, the portfolios were rebalanced monthly. For performance analysis, a passive portfolio was designated and the KOSPI 200 and KOSPI index returns for proxies on market returns were also obtained. Performance analysis was conducted using the equally-weighted portfolio return, compound interest rate, annual return, Maximum Draw Down, standard deviation, and Sharpe Ratio. Buy and hold returns of the top 10 market capitalization stocks are designated as a benchmark. Buy and hold strategy is the best strategy under the efficient market hypothesis. The prediction rate of learning data using backpropagation model was significantly high at 96.61%, while the prediction rate of verification data was also relatively high in the results of the 57.1% verification data. The performance evaluation of self-organizing map grouping can be determined as a result of a backpropagation model. This is because if the grouping results of the self-organizing map model had been poor, the learning results of the backpropagation model would have been poor. In this way, the performance assessment of machine learning is judged to be better learned than previous studies. Our portfolio doubled the return on the benchmark and performed better than the market returns on the KOSPI and KOSPI 200 indexes. In contrast to the benchmark, the MDD and standard deviation for portfolio risk indicators also showed better results. The Sharpe Ratio performed higher than benchmarks and stock market indexes. Through this, we presented the direction of portfolio composition program using machine learning and investor-specific transaction information and showed that it can be used to develop programs for real stock investment. The return is the result of monthly portfolio composition and asset rebalancing to the same proportion. Better outcomes are predicted when forming a monthly portfolio if the system is enforced by rebalancing the suggested stocks continuously without selling and re-buying it. Therefore, real transactions appear to be relevant.

• Korean Journal of Applied Biomechanics
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• v.18 no.1
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• pp.169-178
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• 2008

The goals of this study were to provide data of 3 dimensional ground reaction force(GRF) parameters during stair ascent and descent on three different stair runs and to investigate variability and asymmetry index of them. 10 healthy adults participated in this study and performed 7 different types of gait with 10 trials each. After data analysis, following results were found. Firstly, stair run did not affect on the pattern of GRF parameters, coefficient of variation and asymmetry index. Secondly, a significant different GRF pattern was found between level walking and stair walking. Especially, ascending stair walking has only large Fz1 and small Fz3 while level walking and descending stair walking have a "M" shape connected by Fz1, Fz2 and Fz3. Thirdly, only vertical GRF parameters of stair walking revealed acceptable coefficient of variation and asymmetry index.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.2
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• pp.215-233
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• 2009

The purpose of this study is to compare traditional productivity and environmental productivity of Chinese 28 provinces for 1997-2005. The Eastern, the Central and the Western regions show higher M productivity indices than ML productivity indices before 2000 year, but two productivity indices of three regions report almost similar levels after 2000 year. The M productivity indices were higher than the ML productivity indices in the most provinces for 1997-2005. It implies that the Chinese regional economies have difficulties in the production activity reducing pollutants and increasing desirable outputs simultaneously. In the future, the Chinese 28 provinces need to change the direction of economic growth in the way that pursuits economic growth restraining pollution emission quantities thoroughly and should improve the concrete investment for clean technology of pollutant treatment, reinforcement of environmental regulation, and effectiveness of enforcement law.