• Human Ecology Research
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• v.57 no.1
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• pp.41-50
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• 2019

This study investigated the significant difference in the influences of pregnant couples' attachment representation for parents of origin on their psychological symptoms according to groups. One hundred and eighty two pregnant couples answered the questionnaire. Data were analyzed by means of frequency, percentages, t-test. Pearson's correlation using SPSS ver. 21.0 and multiple group structural equation modeling using AMOS ver. 20.0. The findings are as follows. First, there were significant differences in attachment representations according to parents of origin and psychological symptoms between pregnant women and spouses. Second, there were negative influences of attachment representations to parents of origin on psychological symptoms for both the pregnant women group and their spouses group, respectively. Last, the negative effects of attachment representation for parents of origin on their psychological symptoms according to groups were significantly different; consequently, the impact on the spouses group was stronger than the pregnant women group. The results imply that policies to help pregnant couples reduce psychological symptoms should be provided. In addition, the unexpected result on the weaker impact of pregnant women's attachment representation for parents of origin on their psychological symptoms suggests it is better to consider other factors simultaneously (such as a romantic attachment to spouses) that might provide a moderating role. The study results are meaningful because it is the first to apply a statistically advanced method to analyze pregnant women and spouses in relation to parents of origin on their psychological symptoms.

• Journal of applied mathematics & informatics
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• v.11 no.1_2
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• pp.1-57
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• 2003

Vector fields in three-space admit bundles of internal variables such as a Heisenberg algebra bundle. Information transmission along field lines of vector fields is described by a wave linked to the Schrodinger representation in the realm of time-frequency analysis. The preservation of local information causes geometric optics and a quantization scheme. A natural circle bundle models quantum information visualized by holographic methods. Features of this setting are applied to magnetic resonance imaging.

• Journal of the Korean Mathematical Society
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• v.34 no.2
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• pp.345-370
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• 1997

In this paper, we introduce the Fock representation $U^{F, M}$ of the Heisenberg group $H_R^(g, h)$ associated with a positive definite symmetric half-integral matrix $M$ of degree h and prove that $U^{F, M}$ is unitarily equivalent to the Schrodinger representation of index $M$.

• Bulletin of the Korean Mathematical Society
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• v.49 no.6
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• pp.1335-1348
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• 2012

We prove a Hardy inequality related to Carnot-Carath$\acute{e}$odory distance on H-type groups based on a representation formula on such groups.

• East Asian mathematical journal
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• v.25 no.2
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• pp.171-177
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• 2009

Throughout this paper, we denote that R is a near-ring and G an R-group. We initiate a study of R-substructures of G, monogenic R-groups, faithful R-groups and faithful D.G. representations of near-rings. Next, we investigate some properties of monogenic R-groups, faithful monogenic R-groups and a generalization of annihilator concepts in R-groups.

• Asia pacific journal of information systems
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• v.7 no.1
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• pp.85-97
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• 1997

This paper is concerned with knowledge representation schemes best suited for human resource management (HRM) problem domains including human resource planing, selection, placement, compensations, performance evaluation, training and labor-management relations. In order to suggest the scheme we consider two research gods. First, we evaluate and prioritize. The knowledge representation techniques of frames rules, semantic nets and predicate logic that hove been recommended to managerial domains. The combined Analytic Hierarchy Process technique is employed to combine individual judgments effectively between two different expert groups. As a result if we are to select a single knowledge representation technique, a frame representation is best for most HRM domains and to combine frames with others is another choice. Second as a strategy for knowledge representation schemes we show some examples for each damn in terms of labeled semantic nets and two types of rules derived from the semantic nets. We propose nine knowledge components as ontologies. The labeled semantic nets con provide some benefits compared with conventional one. More clearly definea node rode information maces it easy to find the ac information. In the rule sets, the variables are the node of the semantic nets. The consistency of rules is validated by the relationship of the knowledge components.

• Communications of the Korean Mathematical Society
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• v.15 no.3
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• pp.481-492
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• 2000

As an application of Clifford theory, we are interested in a situation in which every irreducible projective character of a finite group G is an induced character of an irreducible linear character of some subgroup H of G. For this purpose, we study relative projective monomial groups with respect to subgroups.

• Journal of the Korean Chemical Society
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• v.56 no.4
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• pp.500-508
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• 2012

The purpose of this study was to investigate the impact of multimodal representation-based lesson on embeddedness of multimodal representation in high school students' writing. The participants in this study were two groups of second-year science-track students (74 students) at an academic high school in a metropolitan city. One group (41 students) was assigned to the experimental group, the other group (33 students) was assigned to the comparative group. Data analysis showed that the students of the experimental group were better at utilizing and embedding multimodal representations. Thus, the conclusion was drawn that multimodal representation-based lesson had an effect on high school students' embeddedness of multimodal representation.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.652-657
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• 2018

With the rapid development of e-commerce, many customers can now express their opinion on various kinds of product at discussion groups, merchant sites, social networks, etc. Discerning a consensus opinion about a product sold online is difficult due to more and more reviews become available on the internet. Opinion Mining, also known as Sentiment analysis, is the task of automatically detecting and understanding the sentimental expressions about a product from customer textual reviews. Recently, researchers have proposed various approaches for evaluation in sentiment mining by applying several techniques for document, sentence and aspect level. Aspect-based sentiment analysis is getting widely interesting of researchers; however, more complex algorithms are needed to address this issue precisely with larger corpora. This paper introduces an approach of knowledge representation for the task of analyzing product aspect rating. We focus on how to form the nature of sentiment representation from textual opinion by utilizing the representation learning methods which include word embedding and compositional vector models. Our experiment is performed on a dataset of reviews from electronic domain and the obtained result show that the proposed system achieved outstanding methods in previous studies.

• Journal of the Korean Mathematical Society
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• v.42 no.2
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• pp.365-386
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• 2005

Let L be the free Lie superalgebra generated by a $Z_2$-graded vector space V over C. Suppose that g is a Lie superalgebra gl(m, n) or q(n). We study the g-module structure on the kth homogeneous component Lk of L when V is the natural representation of g. We give the multiplicities of irreducible representations of g in Lk by using the character of Lk. The multiplicities are given in terms of the character values of irreducible (projective) representations of the symmetric groups.