• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1244-1244
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• 2001

In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from mastitic and healthy cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from mastitic and healthy cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA and FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference, thereby providing a useful means for spectroscopy-based clinic applications.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1042-1042
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• 2001

In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from daily monitoring of two Japanese cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from two cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA md FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3726-3732
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• 2010

The purpose of this study was to investigate the effects of health exercise program to old Women's walking ability, depression and WHOQOL-BREF. Data were collected from April to June, 2007 from the falls experienced 70 women elderly. All subjects participated in 12 week health exercise program which was designed in order to develop walking ability. The data were analyzed using frequency, %, paired t-test. The results of this study were as followings; First, there was significant differences in the average time of chair stand (t=2.291, p=.025), one leg standing(Rt. leg)(t=2.236, p=.029), step length between before and after(t=4.015, p=.000) training of 12 week health exercise program. Second, there was non significant differences in depression(t=1.044, p=.300) but, significant differences in WHOQOL-BREF(t=3.528, p=.001). The WHOQOL-BREF in general quality of life(t=2.923, p=.005), physical(t=3.039, p=.003), psychological(t=2.481, p=.016), social(t=2.531, p=.014) and environment domain(t=4.259, p=.000) were significant differences. The results suggest that the 12 week health exercise program can improve the muscle endurance and balance, QOL.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.44-52
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• 2020

This study was conducted to investigate the effect on Brain Quotient from inhalation of blended oils. The subjects of the study were 64 people aged 20 to 59 years, with 32 in the experimental group and 32 in the control group. Blended oil with six aromas (Lavender, Bergamot, Mandarin, Lemon, Cedarwood, Roman Chamomile) was given to the experimental group, and Jojoba oil was given to the control group, for 30 minutes. Before and after the experiment, BQ tests (SRQ, BRQ, ATQ, ACQ, EQ, ASQ, CQ, and BQ) from the experimental group and the control group were compared and analyzed using a brain-training machine (NeuroHarmony S). There was a significant difference between the experimental group and the control group in three out of the eight tests analyzed ATQ (p<.05), ACQ (p<.05), BQ (p<.05). In other words, aromatherapy improves concentration and memory by increasing attention, and helps to maintain mental activity, thinking ability, and behavioral balance. BQ also represents a comprehensive brain function, and aromatherapy is a good way to maintain human mental and physical health.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.6
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• pp.43-54
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• 2018

The accurate estimation of reference crop evapotranspiration ($ET_o$) is essential in irrigation water management to assess the time-dependent status of crop water use and irrigation scheduling. The importance of $ET_o$ has resulted in many direct and indirect methods to approximate its value and include pan evaporation, meteorological-based estimations, lysimetry, soil moisture depletion, and soil water balance equations. Artificial neural networks (ANNs) have been intensively implemented for process-based hydrologic modeling due to their superior performance using nonlinear modeling, pattern recognition, and classification. This study adapted two well-known ANN algorithms, Backpropagation neural network (BPNN) and Generalized regression neural network (GRNN), to evaluate their capability to accurately predict $ET_o$ using daily meteorological data. All data were obtained from two automated weather stations (Chupungryeong and Jangsu) located in the Yeongdong-gun (2002-2017) and Jangsu-gun (1988-2017), respectively. Daily $ET_o$ was calculated using the Penman-Monteith equation as the benchmark method. These calculated values of $ET_o$ and corresponding meteorological data were separated into training, validation and test datasets. The performance of each ANN algorithm was evaluated against $ET_o$ calculated from the benchmark method and multiple linear regression (MLR) model. The overall results showed that the BPNN algorithm performed best followed by the MLR and GRNN in a statistical sense and this could contribute to provide valuable information to farmers, water managers and policy makers for effective agricultural water governance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.268-275
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• 2018

The purpose of this study is to investigate what items are needed for reemployment according to the life cycle of women and to provide basic data to address the career discontinuity of women. The study selected five women currently unemployed living in Daejeon who were taking classes related to entrepreneurship at the Cultural Center and the Women Resource Development Center. The data collection period was from October to December, 2017, and collected from in depth interviews. An open-ended interview was used to explore the content of the interview process. The results of the study are as follows: Support policies for women with career disruptions should, above all, be given priority over career support to ensure that currently employed women do not quit their jobs due to marriage, childbirth or childcare. In addition, there is a need to improve the relevant systems and to implement vocational education and training programs so that women with career discontinuity can reenter the labor market. To do this, it is necessary to establish and support career planning in order to understand the effects of women's lifecycles and to support women's economic activity.

• Journal of Distribution Science
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• v.4 no.1
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• pp.121-140
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• 2006

This study has explored a number of problems arising from distribution restrictions and the ways to improve efficiency. As matters stand, since the cooperation between larger stores and local retailers is limited due to the nature of the market, the current situations call for bottom up restrictions such as the active promotion of smaller merchants and traditional marketplaces, the enhancement of the competitiveness of smaller merchants and manufacturers through the establishment of a customized consulting support program for individual shops, and the continual support for traditional marketplaces with facilities and management modernization. The government should maintain the optimal balance between the efficiency and effectiveness of the distribution industry through such bottom up restrictions as shown above, rather than the top down restrictions primarily relying on the hurdles to the establishment of stores. The problems raised in this study include: (i) the decline of traditional marketplaces and the alleged over saturation of stores; (ii) the possible abuse of indiscreet restrictive measures; (iii) the harmful effects of the monopoly or oligopoly by larger distributors; and (iv) the lack of systematic programs to promote development. The ways to improve efficiency are: (i) the establishment of the policies to specialize and nurture traditional marketplaces; (ii) the effort to prevent the injury arising from monopoly; (iii) the two tire strategies for the coexistence of larger and smaller businesses; and (iv) the administration of joint sales promotion and training.

• Korean Journal of Plant Resources
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• v.31 no.1
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• pp.71-76
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• 2018

This study was conducted to investigate the effect of shoot twist on fruitfulness and fruit quality of 'Campbell Early' grapevine. Proper pruning and training are essential to produce a good yield of high-quality fruit and to maintain the balance between vegetative growth and fruiting. The most common problem in spur-pruned 'Campbell Early' cultivar is that vigorous buds has low fruitfulness and thereby the shoot become more vigorous the following spring because of lower crop load. Therefore, shoot twists in very vigorous 'Campbell Early' canes (above 10.0 mm) were performed on the third nodes and the $7^{th}$ nodes of each shoot at 7 days before bloom and full bloom, respectively. Sprouting date, blooming date were not significantly different among the treatments while, harvesting date was delayed approximately 3 days. However, number of berries per cluster, cluster weight and fruitfulness were significantly higher in the shoot twist treatment on the third nodes than the control that was topping alone. Combination treatments of shoot twist and topping had an additive effect on increasing cluster weight resulting in higher increase of yield by 12.1 ㎏ per vine. These results indicated that the shoot twist on very vigorous canes of 'Campbell Early' grapevine for well fruitfulness seemed to be very effective.

• KOMUNHWA
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• no.68
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• pp.59-75
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• 2006

At the beginning of the 21st century with taking a serious view of the harmony between human and nature, and of keeping an ecological balance, China has tried to reduce the gap in economy between rural districts and the urban city, and to carry out the policies for establishing a harmonious socialism through full-scale cooperation and continuous developments. And in order to preserve their traditional culture and to keep the historical legitimacy of People's Republic of China against urgent economical changes since the reform and openness, China has stressed the importance of training patriotic attitude on their cultural heritages. Thus the Chinese museums started to recognize more ad more the importance of social education as well as their functions of preserving the cultural property and of exhibiting it. And with them they have turned their attentions to an Ecomuseum, a new type of a museum. The ecomuseum in China was first established at a remote place between mountains where the ethnic minority inhabited. This was because of the feeling of some crises on culture native to the minority, followed by the process of China's Western Region Development. And it was recognized that they should participate actively in creating the cultural demand of the minority and in establishing a harmonious society with improving economic condition. Therefore in order to activate the ecomuseum it is localized and sinicized little by little through strengthening the management of cultural heritages of the minority.

• The Journal of Korean Physical Therapy
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• v.14 no.4
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• pp.172-182
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• 2002

Objectives: We did research in the cause of the Pitchers' injury and their recovery process to make a detailed injury list for the purpose of finding the cause of the Korean professional pitchers' injury and its classification. We drew the conclusion through the results as following. Methods: We posed a question to the 80 pitchers playing in the first team of the eight Korean professional baseball team and analyzed the 62 pieces of question paper except the paper having a mistake. We used SAS/PC statistical package in analyzing the data. Results: In the frequency of the pitchers' shoulder injury in the last three years, the injured of all the players were 61.3$\%$ and the injury free players were 28.7$\%$. The cause of the injury was 45.2$\%$ wrong pitching motion, which was the highest value. For the shape of a pain when injured, the reverberation ache feeling when he is hit in the weight commanded an absolute majority as 19.4$\%$. Those who had muscular pain were 17.7$\%$, which was felt mostly at the pitching motion. The most trouble name of the injured shoulder was bicepstendinitis as 16.1$\%$ while the injury of shoulder joint was the lowest as 1.6$\%$. As the most widely used treatment, 25.8 percent of all the players had taken an electronical thraphy after injury. 14.5 percent of the players who had an injury to the shoulder told that they have an operation and 85 percent of them didn't. As a sort of the operation, a repairing of labrum was 44.4 percent, which is the highest value and the 77.8 percent pitchers are performing a normal pitching through rehabilitation after the operation and 22.2 percent of them are undergoing rehabilitation training. Conclusion: The research have shown that the main cause of the injury, concerning the Korean professional pitchers throwing lots of ball in both matches and practices, is overuse syndrome, bad mechanism, muscle weakness and instability of balance. I think that the role of trainer, physical therapy, and team physician taking charge of the players' injury must learn physical test method by heart exactly to check up the state of the injury definitely at the initial phase. Moreover, when the cause of the injury part after a close examination is discovered, the scientific and good surgery is essential to the rehabilitation success and making a classification of shoulder instability is useful to make a operation plan as well as the players' rehabilitation, treatment.