• Bulletin of the Korean Mathematical Society
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• v.39 no.1
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• pp.123-131
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• 2002

Let A(p, k) (p, k$\in$N) be the class of functions f(z) = $z^{p}$ + $a_{p+k}$ $z^{p+k}$+… analytic in the unit disk. We introduce a subclass H(p, k, λ, $\delta$, A, B) of A(p, k) by using the Ruscheweyh derivative. The object of the present paper is to show some properties of functions in the class H(p, k, λ, $\delta$, A, B). B).

• Journal of the Korean Mathematical Society
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• v.50 no.6
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• pp.1257-1269
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• 2013

Using the three critical points theorem by B. Ricceri [23], we obtain a multiplicity result for a class of nonlocal problems in Orlicz-Sobolev spaces. To our knowledge, this is the first contribution to the study of nonlocal problems in this class of functional spaces.

• Communications for Statistical Applications and Methods
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• v.15 no.4
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• pp.543-549
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• 2008

Inspired by using a robust loss function in the support vector machine regression to control training error and the idea of robust template matching with M-estimator, Chen (2004) applies M-estimator techniques to gaussian radial basis functions and form a new class of robust kernels for the support vector machines. We are specially interested in the shape of the Huber's M-estimator in this context and propose a way to find the shape parameter of the Huber's M-estimating function. For simplicity, only the two-class classification problem is considered.

• English Language & Literature Teaching
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• v.16 no.3
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• pp.339-363
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• 2010

The purpose of this paper is to investigate how the English classes in secondary schools in Korea are in terms of communicative nature. After literature study, COLT parts A and B were used to analyze three kinds of English classes: a common class type taught by a school teacher who had won 1st prize at TEE contest, a team teaching class taught by NNS and NS, and a model class taught by a pre-service English teacher. Their communicative English classes were videotaped and transcribed for analysis by COLT. The results of the study revealed that students participated in the classes mostly as a unit and, therefore, did not get many meaningful chances to speak English. Second, creative language-use opportunities were barely found during classes. Third, the group work seemed to be prepared before the class, not to be done during the class. Therefore it is likely to be learned from memorization rather than meaningful communication. These results suggest English classes in schools be more communicatively oriented for successful English learning. Further study should be conducted in order to make English classes more communicative to help students communicate their genuine messages in English and to help teachers teach English efficiently.

• Journal of KIISE:Software and Applications
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• v.32 no.8
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• pp.781-788
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• 2005

LDA (Linear Discriminant Analysis) is a data discrimination technique that seeks transformation to maximize the ratio of the between-class scatter and the within-class scatter While it has been successfully applied to several applications, it has two limitations, both concerning the underfitting problem. First, it fails to discriminate data with complex distributions since all data in each class are assumed to be distributed in the Gaussian manner; and second, it can lose class-wise information, since it produces only one transformation over the entire range of classes. We propose three extensions of LDA to overcome the above problems. The first extension overcomes the first problem by modeling the within-class scatter using a PCA mixture model that can represent more complex distribution. The second extension overcomes the second problem by taking different transformation for each class in order to provide class-wise features. The third extension combines these two modifications by representing each class in terms of the PCA mixture model and taking different transformation for each mixture component. It is shown that all our proposed extensions of LDA outperform LDA concerning classification errors for handwritten digit recognition and alphabet recognition.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.248-258
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• 2019

The importance of the creative class has been emphasized as the industrial structure changes. However, there are only a few studies on gender wage difference in the creative class. The purpose of this study is to analyze the various factors influencing the gender wage gap in the creative class by using labor panel data. The results of this study are as follows: First, it was found that the wage of the male creative class is higher than the wage of the female creative class. Second, there were different factors affecting wages depending on the gender of the creative class. Third, female workers in the creative class suffer wage discrimination due to differences, but a larger part is due to gender discrimination. Fourth, compared to the non-creative classes, the gender wage gap of the creative classes was small. The gender gap caused by discrimination was the highest among the younger generation.

• Journal of Korean Home Economics Education Association
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• v.31 no.1
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• pp.77-88
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• 2019

This study was to execute the flipped learning as a learner-centered teaching and learning method in the course on family living culture for home economics education students in a college of education, and to investigate its effect. Flipped learning was designed in three stages(Pre class/In class/After class), and a questionnaire survey was distributed to 40 students to measure the class satisfaction. In addition, class worksheets and reflection journals that students wrote after every class were analyzed. Students positively evaluated flipped learning because they could take non-competition class with questions and discussion, etc. escaping from a one-way lecture. This study found that the level of class satisfaction was high due to high learning effect as the dual learning was available in case of prerequisite learning or individual learning. In particular, the class using Visual Thinking was considered interesting and useful in understanding and summarizing the learning contents. This study has shown that the willingness to take other flipped learning class in their major was high. To conclude, this study has found positive learning effects in the learner-centered teaching and learning method or flipped learning for the course concerning family living culture. This researcher expects that flipped learning may be utilized in the secondary education in the future as an effective learner-centered teaching and learning method for the purpose of fostering talents for the future in the era of the fourth industrial revolution.

• Journal of the Korean Home Economics Association
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• v.48 no.8
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• pp.51-65
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• 2010

This research explored the importance of conflict resolution in communication between adolescents and their parents. A teaching and learning plan on communication using the Active listening, I-message method and no-lose conflict resolution method was developed and applied to teaching the 'Communication among Family Members' unit in the middle school home economics and technology textbook. The experimental class of 203 students using the active listening, I message and no-lose conflict resolution method in communication was compared with a comparative class of 163 students using only the active listening and I message method, investigating the amounts of communication, conflicts, functional communication and degree of satisfaction the students perceived regarding relationships with their parents via pre and post tests. Both groups showed significant increases in their amounts of communication and functional communication. However, only the experimental class showed an increase in their degree of relationship satisfaction with their parents. Both groups evaluated the lesson positively.

• IMMUNE NETWORK
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• v.6 no.2
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• pp.102-110
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• 2006

Background: Dendritic cells (DC) are professional antigen-presenting cells in the immune system and can induce T cell response against virus infections, microbial pathogens, and tumors. Therefore, immunization using DC loaded with tumor-associated antigens (TAAs) is a powerful method of inducing anti-tumor immunity. For induction of effective anti-tumor immunity, antigens should be efficiently introduced into DC and presented on MHC class I molecules at high levels to activate antigen-specific $CD8^+$ T cells. We have been exploring methods for loading exogenous antigens into APC with high efficiency of Ag presentation. In this study, we tested the effect of the cationic liposome (Lipofectin) for transferring and loading exogenous model antigen (OVA protein) into BM-DC. Methods: Bone marrow-derived DC (EM-DC) were incubated with OVA-Lipofectin complexes and then co-cultured with B3Z cells. B3Z activation, which is expressed as the amount of ${\beta}$-galactosidase induced by TCR stimulation, was determined by an enzymatic assay using ${\beta}$-gal assay system. C57BL/6 mice were immunized with OVA-pulsed DC to monitor the in vivo vaccination effect. After vaccination, mice were inoculated with EG7-OVA tumor cells. Results: BM-DC pulsed with OVA-Lipofectin complexes showed more efficient presentation of OVA-peptide on MHC class I molecules than soluble OVA-pulsed DC. OVA-Lipofectin complexes-pulsed DC pretreated with an inhibitor of MHC class I-mediated antigen presentation, brefeldin A, showed reduced ability in presenting OVA peptide on their surface MHC class I molecules. Finally, immunization of OVA-Lipofectin complexes-pulsed DC protected mice against subsequent tumor challenge. Conclusion: Our data provide evidence that antigen-loading into DC using Lipofectin can promote MHC class I- restricted antigen presentation. Therefore, antigen-loading into DC using Lipofectin can be one of several useful tools for achieving efficient induction of antigen-specific immunity in DC-based immunotherapy.

• Korean Journal of Remote Sensing
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• v.19 no.4
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• pp.329-339
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• 2003

In this study, an approach of image fusion in decision level has been proposed for unsupervised image classification using the images acquired from multiple sensors with different characteristics. The proposed method applies separately for each sensor the unsupervised image classification scheme based on spatial region growing segmentation, which makes use of hierarchical clustering, and computes iteratively the maximum likelihood estimates of fuzzy class vectors for the segmented regions by EM(expected maximization) algorithm. The fuzzy class vector is considered as an indicator vector whose elements represent the probabilities that the region belongs to the classes existed. Then, it combines the classification results of each sensor using the fuzzy class vectors. This approach does not require such a high precision in spatial coregistration between the images of different sensors as the image fusion scheme of pixel level does. In this study, the proposed method has been applied to multispectral SPOT and AIRSAR data observed over north-eastern area of Jeollabuk-do, and the experimental results show that it provides more correct information for the classification than the scheme using an augmented vector technique, which is the most conventional approach of image fusion in pixel level.