• Management & Information Systems Review
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• v.38 no.2
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• pp.1-28
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• 2019

The purpose of this study is to empirically analyze the effects of characteristics of Leader (authoritarian disposition, procedural justice, job instability) on the organizational commitment of subordinates through abusive supervision and leader-member exchange(LMX). To this end, a survey was performed on the employees under the manager level in a large enterprise in Korea. The results of this study are as follows. First, the Hypothesis 1, 2, and 3 that the characteristics of leader (authoritarian disposition, procedural justice, job instability) will make effects on the organizational commitment of subordinates through abusive supervision were adopted. Second, in the hypotheses that the characteristics of leader (authoritarian disposition, procedural justice, job instability) will make effects on the organizational commitment of subordinates through LMX, Hypothesis 4 of authoritarian disposition, and Hypothesis 6 of job instability were rejected, while only Hypothesis 5 of procedural justice was adopted, as it made effects on the organizational commitment of subordinates through LMX. Third, the Hypothesis 7, 8, and 9 that the characteristics of leader (authoritarian disposition, procedural justice, job instability) will make effects on the organizational commitment of subordinates through abusive supervision and LMX were all adopted. This study is meaningful, in that it identified the structural relationship that the characteristics of leader make effects on the organizational commitment of subordinates through abusive supervision and LMX. It is expected that the results of this study can be used as base materials for new studies on abusive supervision which have been made in diversified ways in Korea and overseas.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.140-142
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• 2021

Mobile communication technology after 5th generation requires high speed, hyper-connection, and low latency communication. In order to meet technical requirements for secure hyper-connectivity, low-spec IoT devices that are considered the end of IoT services must also be able to provide the same level of security as high-spec servers. For the purpose of performing these security functions, it is required for cryptographic keys to have the necessary degree of stability in cryptographic algorithms. Cryptographic keys are usually generated from cryptographic random number generators. At this time, good noise sources are needed to generate random numbers, and hardware random number generators such as TRNG are used because it is difficult for the low-spec device environment to obtain sufficient noise sources. In this paper we used the chip which is based on quantum characteristics where the decay of radioactive isotopes is unpredictable, and we presented a variety of methods (TRNG) obtaining an entropy source in the form of binary-bit series. In addition, we conducted the NIST SP 800-90B test for the entropy of output values generated by each TRNG to compare the amount of entropy with each method.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.169-169
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• 2022

Over the past 100 years, the global average temperature has risen by 0.75 ℃. The Korean Peninsula has risen by 1.8 ℃, more than twice the global average. According to the RCP 8.5 scenario, the CO₂ concentration in 2100 will be 940 ppm, about twice as high as current. The National Institute of Crop Science(NICS) is using the SPAR (Soil-Plant Atmosphere Research) facility that can precisely control the environment, such as temperature, humidity, and CO₂. A Python-based colony photosynthesis algorithm has been developed, and the carbon and nitrogen absorption rate of rice is evaluated by setting climate change conditions. In this experiment, Oryza Sativa cv. Shindongjin were planted at the SPAR facility on June 10 and cultivated according to the standard cultivation method. The temperature and CO₂ settings are high temperature and high CO₂ (current temperature+4.7℃ temperature+4.7℃·CO₂ 800ppm), high temperature single condition (current temperature+4.7℃·CO₂ 400ppm) according to the RCP8.5 scenario, Current climate is set as (current temperature·CO₂400ppm). For colony photosynthesis measurement, a LI-820 CO₂ sensor was installed in each chamber for setting the CO₂ concentration and for measuring photosynthesis, respectively. The colony photosynthetic rate in the booting stage was greatest in a high temperature and CO₂ environment, and the higher the nitrogen fertilization level, the higher the colony photosynthetic rate tends to be. The amount of photosynthesis tended to decrease under high temperature. In the high temperature and high CO₂ environment, seed yields, the number of an ear, and 1000 seed weights tended to decrease compared to the current climate. The number of an ear also decreased under the high temperature. But yield tended to increase a little bit under the high temperature and high CO₂ condition than under the high temperature. In addition, In addition to this study, it seems necessary to comprehensively consider the relationship between colony photosynthetic ability, metabolite reaction, and rice yield according to climate change.

• Journal of the Korean earth science society
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• v.37 no.7
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• pp.434-447
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• 2016

This study analyzed mass concentrations of PM10 and PM2.5, as measured at Tae-ahn and Gang-nae, Cheongju in central Korea over the period from 2011 to 2015. Higher mass concentrations of PM10, with the exception of dustfall cases during the period of winter and spring, reflected the influence of a prevailing westerly airflow, while the level of PM10 stayed at a low level in summer, reflecting the influence of North Pacific air mass and frequent rainfall. Accordingly, cases where a daily PM10 average of $81{\mu}gm^{-3}$ or over (exceeding the status of fine dust particles being 'a little bit bad') were often observed during the period of winter and spring, with more cases occurring in parts of Tae-ahn that are located close to the sources of pollutant emission in eastern China. Dustfall usually originated from dust storms made up of particles $2.5{\mu}m$ or over in diameter. However, anthropogenic haze displayed a high composition ratio of particulate less than $2.5{\mu}m$ in diameter. Accordingly, brightness temperature difference (BTD) values from the Communication, Ocean and Meteorological Satellite (COMS) were $-0.5^{\circ}K$ or over in haze with fine particulate. PM10 mass concentrations and NOAA 19 satellite BTD for haze cases were analyzed. Though PM10 mass concentrations were found to be lower than $200{\mu}g\;m^{-3}$, the mass concentration ratio of PM2.5/PM10 was measured as higher than 0.4 and BTD was found to be distributed in the range from -0.3 to $0.5^{\circ}K$. However, the BTD of dustfall cases exceeding $190{\mu}g\;m^{-3}$, were found to be less than 0.4 and BTD was found to be distributed in the range less than $-0.7^{\circ}K$. The result of applying BTD threshold values of the large-scale transport of haze proved to fall into line with the range over which aerosols of MODIS AOD and OMI AI were distributed.

• Food Science of Animal Resources
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• v.28 no.1
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• pp.51-58
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• 2008

This study was performed to evaluate the physico-chemical properties of fermented sausages containing probiotic starter cultures (LK-30 plus, Lactobacillus plantarum 155 and 167, and Pediococcus damnosus L12) with reduced fat levels, and to determine the optimum condition for the manufacture of these products. Although low-fat fermented sausages were reduced fat content at the amount of 90% and the ripening time by 1-2 weeks, as compared to regular-fat counterpart, they became harder and had many winkles outside due to the extreme drying. In addition, fat level in fermented sausages affected the composition and shear force values. During ripening, pH, lightness and yellowness values tended to decrease, however, microbial counts of inoculated lactic acid bacteria were increased up to $10^8-10^9cfu/g$ within 3 days and remained constant thereafter. Low-fat fermented sausages had higher microbial counts than regular-fat ones. Although the inoculated probiotic starter cultures alone had the functional properties, such as cholesterol reduction, anti-high blood pressure and antimicrobial activity, they did not have distinctive characteristics in the fermented sausages. Based on these results, the low-fat fermented sausages were successfully manufactured, but a little bit increased fat level and improved functional properties in the fermented sausages would be required to have better quality as compared to regular-fat counterparts.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.99-112
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• 2010

Ensemble learning is a method for improving the performance of classification and prediction algorithms. It is a method for finding a highly accurateclassifier on the training set by constructing and combining an ensemble of weak classifiers, each of which needs only to be moderately accurate on the training set. Ensemble learning has received considerable attention from machine learning and artificial intelligence fields because of its remarkable performance improvement and flexible integration with the traditional learning algorithms such as decision tree (DT), neural networks (NN), and SVM, etc. In those researches, all of DT ensemble studies have demonstrated impressive improvements in the generalization behavior of DT, while NN and SVM ensemble studies have not shown remarkable performance as shown in DT ensembles. Recently, several works have reported that the performance of ensemble can be degraded where multiple classifiers of an ensemble are highly correlated with, and thereby result in multicollinearity problem, which leads to performance degradation of the ensemble. They have also proposed the differentiated learning strategies to cope with performance degradation problem. Hansen and Salamon (1990) insisted that it is necessary and sufficient for the performance enhancement of an ensemble that the ensemble should contain diverse classifiers. Breiman (1996) explored that ensemble learning can increase the performance of unstable learning algorithms, but does not show remarkable performance improvement on stable learning algorithms. Unstable learning algorithms such as decision tree learners are sensitive to the change of the training data, and thus small changes in the training data can yield large changes in the generated classifiers. Therefore, ensemble with unstable learning algorithms can guarantee some diversity among the classifiers. To the contrary, stable learning algorithms such as NN and SVM generate similar classifiers in spite of small changes of the training data, and thus the correlation among the resulting classifiers is very high. This high correlation results in multicollinearity problem, which leads to performance degradation of the ensemble. Kim,s work (2009) showedthe performance comparison in bankruptcy prediction on Korea firms using tradition prediction algorithms such as NN, DT, and SVM. It reports that stable learning algorithms such as NN and SVM have higher predictability than the unstable DT. Meanwhile, with respect to their ensemble learning, DT ensemble shows the more improved performance than NN and SVM ensemble. Further analysis with variance inflation factor (VIF) analysis empirically proves that performance degradation of ensemble is due to multicollinearity problem. It also proposes that optimization of ensemble is needed to cope with such a problem. This paper proposes a hybrid system for coverage optimization of NN ensemble (CO-NN) in order to improve the performance of NN ensemble. Coverage optimization is a technique of choosing a sub-ensemble from an original ensemble to guarantee the diversity of classifiers in coverage optimization process. CO-NN uses GA which has been widely used for various optimization problems to deal with the coverage optimization problem. The GA chromosomes for the coverage optimization are encoded into binary strings, each bit of which indicates individual classifier. The fitness function is defined as maximization of error reduction and a constraint of variance inflation factor (VIF), which is one of the generally used methods to measure multicollinearity, is added to insure the diversity of classifiers by removing high correlation among the classifiers. We use Microsoft Excel and the GAs software package called Evolver. Experiments on company failure prediction have shown that CO-NN is effectively applied in the stable performance enhancement of NNensembles through the choice of classifiers by considering the correlations of the ensemble. The classifiers which have the potential multicollinearity problem are removed by the coverage optimization process of CO-NN and thereby CO-NN has shown higher performance than a single NN classifier and NN ensemble at 1% significance level, and DT ensemble at 5% significance level. However, there remain further research issues. First, decision optimization process to find optimal combination function should be considered in further research. Secondly, various learning strategies to deal with data noise should be introduced in more advanced further researches in the future.

• Journal of dental hygiene science
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• v.6 no.3
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• pp.219-225
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• 2006

As the number of old people grows in today's modern society, dental hygienist's role is more emphasized than ever before for oral hygiene management of the aged. It is also important to find out college students' knowledge, attitude and behavior towards the elderly. Therefore, this study is conducted through interview with college students who are majoring in dental hygiene of health care in Busan and will be in charge of oral hygiene. According to the interview, this study obtains the following results: 1. The level of undergraduate students' knowledge of old people shows a total score of $14.53{\pm}2.35$ (correct response rate is 69.9%). 2. The average score of undergraduate students' attitude towards old people is in a neutral range(50~70), recording 63.12(${\pm}7.22$) on a scale of 100. 3. The average score of undergraduate students' behavior towards old people is lower than a neutral range(43~60), recording 39.09(${\pm}13.43$) on a scale of 85 and showing negative behavior. 4. Experience of living together with the elderly and participating in volunteer jobs lead to significant differences in undergraduate students' attitude towards old people. 5. Experience of living together with the elderly causes significant differences in undergraduate students' behavior towards old people. That is, undergraduate students living together with the elderly show a positive behavior towards old people. 6. Undergraduate students' knowledge shows a strong positive relationship with their attitude, but it has a bit positive correlation with behavior even though there are no statistically significant differences between knowledge and behavior. No relationship is found between behavior and attitude. That is, undergraduate students have more positive attitude as their knowledge of the elderly is higher, but their behavior is not positive.

• Journal of the Korean earth science society
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• v.37 no.7
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• pp.420-433
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• 2016

The purpose of this study is to improve the calibration matrixes of 2-D and 3-D convective rainfall rates (CRR) using the brightness temperature of the infrared $10.8{\mu}m$ channel (IR), the difference of brightness temperatures between infrared $10.8{\mu}m$ and vapor $6.7{\mu}m$ channels (IR-WV), and the normalized reflectance of the visible channel (VIS) from the COMS satellite and rainfall rate from the weather radar for the period of 75 rainy days from April 22, 2011 to October 22, 2011 in Korea. Especially, the rainfall rate data of the weather radar are used to validate the new 2-D and 3-DCRR calibration matrixes suitable for the Korean peninsula for the period of 24 rainy days in 2011. The 2D and 3D calibration matrixes provide the basic and maximum CRR values ($mm\;h^{-1}$) by multiplying the rain probability matrix, which is calculated by using the number of rainy and no-rainy pixels with associated 2-D (IR, IR-WV) and 3-D (IR, IR-WV, VIS) matrixes, by the mean and maximum rainfall rate matrixes, respectively, which is calculated by dividing the accumulated rainfall rate by the number of rainy pixels and by the product of the maximum rain rate for the calibration period by the number of rain occurrences. Finally, new 2-D and 3-D CRR calibration matrixes are obtained experimentally from the regression analysis of both basic and maximum rainfall rate matrixes. As a result, an area of rainfall rate more than 10 mm/h is magnified in the new ones as well as CRR is shown in lower class ranges in matrixes between IR brightness temperature and IR-WV brightness temperature difference than the existing ones. Accuracy and categorical statistics are computed for the data of CRR events occurred during the given period. The mean error (ME), mean absolute error (MAE), and root mean squire error (RMSE) in new 2-D and 3-D CRR calibrations led to smaller than in the existing ones, where false alarm ratio had decreased, probability of detection had increased a bit, and critical success index scores had improved. To take into account the strong rainfall rate in the weather events such as thunderstorms and typhoon, a moisture correction factor is corrected. This factor is defined as the product of the total precipitable waterby the relative humidity (PW RH), a mean value between surface and 500 hPa level, obtained from a numerical model or the COMS retrieval data. In this study, when the IR cloud top brightness temperature is lower than 210 K and the relative humidity is greater than 40%, the moisture correction factor is empirically scaled from 1.0 to 2.0 basing on PW RH values. Consequently, in applying to this factor in new 2D and 2D CRR calibrations, the ME, MAE, and RMSE are smaller than the new ones.

• Journal of Applied Biological Chemistry
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• v.52 no.2
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• pp.58-64
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• 2009

Total polyphenol contents and antioxidative activity of water and ethanol extracts from Sea Buckthorn (Hippophae rhamnoides) leaves, branches (bough and twig) and roots were analyzed. The level of crude ash and crude protein in water extract of leaves, branches (bough and twig), and roots were shown to be a bit higher than ethanol extracts. Especially crude protein contents from water extract of leaves, bough, twig, and roots were 14.90, 18.60, 18.03, and 16.61% respectively. Total polyphenol content of ethanol extracts of all parts of Sea buckthorn was ranged from 106.33${\pm}$2.32 ${\mu}g/g$ to 147.78${\pm}$3.06 ${\mu}g/g$ showing higher amount than water extracts. To investigate antioxidative activity of Sea buckthorn, DPPH free radical scavenging activity, hydroxy radical scavenging activity, and SOD-like activity were analyzed. The results showed that the antioxidative activity of ethanol extracts was relatively higher than water extracts. The $IC_{50}$ values for DPPH free radical scavenging activity was ranged from 23.58${\pm}$0.84 ${\mu}g/mL$ to 59.35${\pm}$1.69 ${\mu}g/mL$. Compared to 68.85${\pm}$1.44% of SOD-like activity from L-ascorbic acid used as a control, the ethanol extract of Sea buckthorn branches showed relatively strong activity of 35.03${\pm}$2.33%. The highest hydroxy radical scavenging activity was shown as 66.12${\pm}$8.73% from ethanol extract of Sea buckthorn roots which was similar value to 72.47${\pm}$2.83% of L-ascorbic acid.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.8
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• pp.52-59
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• 2007

In this paper, we analyzed and measured implant isolation characteristics for a 1.25 Gbps monolithic integrated hi-directional (M-BiDi) optoelectronic system-on-a-chip, which is a key component to constitute gigabit passive optical networks (PONs) for a fiber-to-the-home (FTTH). Also, we derived an equivalent circuit of the implant structure under various DC bias conditions. The 1.25 Gbps M-BiDi transmit-receive SoC consists of a laser diode with a monitor photodiode as a transmitter and a digital photodiode as a digital data receiver on the same InP wafer According to IEEE 802.3ah and ITU-T G.983.3 standards, a receiver sensitivity of the digital receiver has to satisfy under -24 dBm @ BER=10-12. Therefore, the electrical crosstalk levels have to maintain less than -86 dB from DC to 3 GHz. From analysed and measured results of the implant structure, the M-BiDi SoC with the implant area of 20 mm width and more than 200 mm distance between the laser diode and monitor photodiode, and between the monitor photodiode and digital photodiode, satisfies the electrical crosstalk level. These implant characteristics can be used for the design and fabrication of an optoelectronic SoC design, and expended to a mixed-mode SoC field.