• Journal of The Korean Society of Grassland and Forage Science
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• v.37 no.2
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• pp.116-124
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• 2017

This experiment was conducted to evaluate feed value and usability of soybean varieties as livestock forage. In this study, three soybean cultivars, OT93-26, Geomjeongsaeol, and Pungwon, were harvested at R5 (beginning seed development)- and R6 (full seed)-reproductive stages for analyzing feed value of soybean. Days to R5 stage harvest of OT93-26 among the three soybean cultivars was 55 days and the shortest while Pungwon took 103 days to reach at R6 stage. The R6-harvested soybeans had higher dry matter (DM) yields and crude protein (CP) content than the R5-harvested. However, both DM and CP were the highest in the R6-harvested Geomjeongsaeol. Contents of neutral detergent fiber (NDF) and acid detergent fiber (ADF) of Pungwon harvested at R5 were the highest whereas the R6-harvested Geomjeongsaeol had the lowest. Digestible dry matter (DDM), dry matter intake (DMI), and relative feed value (RFV) of the R6-harvested Geomjeongsaeol and Pungwon were higher than those of the R5-harvested, but in case of OT93-26, those at R6 stage were low rather than those at R5 stage. However, soybean could be used as alternative forage with high feed value for livestock. Taken together, Geomjeongsaeol could be used for developing new forage soybean varieties with high feed value, and R6 would be the optimum harvesting stage for yield and quality of forage soybean.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3053-3061
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• 2011

This study examines the relationship between R&D(research & development) investment and market value among KOSDAQ firms in the Korea Stock Exchange. We investigate the effect of R&D investment on firm value in both total sample and sub-samples classified by firm characteristics based on types of firms. And we study the impact of a major economic disruption as the global financial crisis triggered by sub-prime mortgage problem in the US on R&D investment relative to the firm value. We find that R&D investment positively affects firm value and the squared term of R&D investment is found to be significant and negatively correlated with market value. This suggests the presence of nonlinear relationship like a reverse U-shape between R&D investment and market value in total sample and most of sub-samples. And we find firm characteristics and global financial crisis partially affect the contribution of R&D investment to market value in some of sub-samples.

• Journal of Platform Technology
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• v.6 no.1
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• pp.9-16
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• 2018

In recent years, many analysts have been using Python and R to analyze data using efficient analysis and statistics. However, it is difficult to solve the requirement to express various analyzes in real time through the web system using only two languages. In addition, it is possible to confirm that the extracted P-Value is different from the value in R because there is no corresponding algorithm in Java or the corresponding source is not verified. Therefore, in this paper, we propose a method to apply analyst 's analysis algorithm contents directly to his system using R in other languages.

• Korean Management Science Review
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• v.28 no.2
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• pp.1-16
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• 2011

In this study we suggested two optimization models to answer a question from an investor standpoint : how many convertible bonds should one convert, and how many keep? One model minimizes certain risk to the minimum required expected return, the other maximizes the expected return subject to the maximum acceptable risk. In comparison with Markowitz portfolio models, which use the variance of return, our models used Conditional Value-at-Risk(CVaR) for risk measurement. As a coherent measurement, CVaR overcomes the shortcomings of Value-at-Risk(VaR). But there are still difficulties in solving CVaR including optimization models. For this reason, we adopted Rockafellar and Uryasev's[18, 19] approach. Then we could approximate the models as linear programming problems with scenarios. We also suggested to extend the models with credit risk, and applied examples of our models to Hynix 207CB, a convertible bond issued by the global semiconductor company Hynix.

• Journal of Technology Innovation
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• v.16 no.1
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• pp.191-213
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• 2008

This study investigates the effect of technology import and R&D investment on the value of the firm in Korea. The result shows that the technology import announcement effect of firms with a low R&D investment is higher than that of firms with a high R&D investment. The evidence suggests that technology import can substitute the existing R&D capability of the firm. In addition, the result shows that there is an optimal level of technology import and R&D investment to maximize the value of the firm. In particular, firms with a low R&D investment and a large amount of technology import experience the highest announcement effect. The study concludes that an adequate allocation of fim's capital between R&D investment and technology import is needed for firm's optimal technology strategy.

• Journal of Yeungnam Medical Science
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• v.2 no.1
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• pp.77-80
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• 1985

The R-R interval analyzer was developed to measure the autonomic nervous system function using microcomputer. The system based on 8 bit microcomputer including bandpass filter, R-wave detector and clock generator in order to obtain the mean value, standard deviation, total time, CV value, maximum value and minimum value in the specific view point of R-R interval variation. The pattern of R-R interval change after resting, voluntary standing and deep breathing can be analysed in normal subjects and diabetics with autonomic nervous dysfunction. The amplitude of the R-R interval variation showed sensitive pattern for normal subjects at resting, standing and deep breathing. On the contrary, the periodicities of amplitude for abnormal subjects with autonomic nervous dysfunction showed dull pattern. It was suggested that R-R interval analyzer is a good detection method for dysfunction of autonomic nervous system.

• Korean Journal of Food Science and Technology
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• v.16 no.2
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• pp.149-152
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• 1984

Fifiy-five wheat samples were studied to obtain the basic information on the varietal differences of physicochemical characteristics and cookie baking potentiality in wheat breeding lines. Alkaline water retention capacity (AWRC) value had a correlation coefficient of $0.51^{**}$ with sedimentation value, of $0.45^{**}$ with protein content, and of $0.47^{**}$, with Pelshenke value. The highly significant correlation coefficient was obtained for cookie diameter vs. AWRC value $(-0.98^{**})$ and cooki diameter vs. protein content $(-0.46^{**})$. Farinograph absorption is highly correlated with AWRC value $(r=0.77^{**})$ and with cookie diameter $(r=-0.73^{**})$. Farinograph band width had a correlation coefficient of $-0.49^{**}$ with AWRC value, and of $0.44^{**}$ with cookie diameter.

• Korean Management Science Review
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• v.30 no.3
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• pp.55-70
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• 2013

In this study we suggested two optimization models to determine conversion weight of convertible bonds. The problem of this study is same as that of Park and Shim [1]. But this study used Value-at-Risk (VaR) for risk measurement instead of CVaR, Conditional-Value-at-Risk. In comparison with conventional Markowitz portfolio models, which use the variance of return, our models used VaR. In 1996, Basel Committee on Banking Supervision recommended VaR for portfolio risk measurement. But there are difficulties in solving optimization models including VaR. Benati and Rizzi [5] proved NP-hardness of general portfolio optimization problems including VaR. We adopted their approach. But we developed efficient algorithms with time complexity O(nlogn) or less for our models. We applied examples of our models to the convertible bond issued by a semiconductor company Hynix.

• Communications for Statistical Applications and Methods
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• v.16 no.5
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• pp.791-801
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• 2009

Value-at-Risk(VaR) has been used as an important tool to measure the market risk. However, the selection of the VaR models is controversial. This paper proposes VaR forecast combinations using support vector machine quantile regression instead of selecting a single model out of historical simulation and GARCH.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.1-14
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• 2016

According to the growing importance of science and technology policy, investment in research and development (R&D) has been increased. In this context, a patent as one of outcome of firm's systematic R&D investment is the way to hold a dominant position in companies' technology competitiveness and also to protect technology right. This study attempts to find the effects of input resources and intellectual property production activity on company value. It conducted empirical analysis based on 238 KOSDAQ-listed and medium-sized firms. Using the previous research, this study configurated research variables about activity of patent production, company value, and input of resources. Through these variables, it aims to know the effect of input of resources and activity of patent production on company value. First, the result of regression analysis shows that R&D cost has the positive effect on a patent production and sales promotion cost positively affects on the registration of the trademark. Second, the output of regression analysis indicates that a patent has the positive effect on company value but a trademark has not. With regard to the input of resources, R&D cost has the influence on company value but sales promotion cost has not. This study attempts to find the effectiveness of company's intellectual property registration on its value and suggests a way that the systematic R&D investment contributes the growth of company value.