• Journal of the Korean Society for Library and Information Science
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• v.30 no.1
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• pp.35-48
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• 1996

To understand the present states of abstracting and to investigate contents of abstracts, a survey content analysis was done in the field sciences. Of the 102 nation wide scholarly journals examined $54(53\%)$ included abstracts with articles. 33 had abstracts in Korea Among the 34 journals with editorial statements about abstracting only 13 had suggestions about abstract contents. Based on the investigation, 4 disciplines having abstracts mostly was selected and 149 abstracts in the 4 major journals in each discipline were sampled. Complete abstracts were ama;uzed according to 12 variables covering required content elements, unnecessary statements, and writing styles. Statistical characteristics of the abstracts is varied among disciplines and the scope is very wide. Particularly number of paragraph and number of character per abstract is much different from the standards. The content analysis showed $51\%$ of the abstracts were incomplete. $39\%$ of the abstracts did not mention research method used. 59 abstracts included unnecessary statements. Writing stle analysis also showed many faults both in the pronoun abuse and the misuse of voice or tense. Korean author abstracts in social science scholarly journals have deficiencies in linguistic structures as well as in contents and style.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.182-195
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• 2012

Pictorial Images are often used when persuading someone, since people believe that photographs tell us what happened in reality. This paper aims to strengthen the role of pictorial images as a powerful method of persuasion through interpolating sensibility, which is a key factor in decision making, into the pictorial images. This paper analyses the structure of sensibility in pictorial images, in order to draw out specific factors that arouse positive impression. Furthermore, intensional meanings were given to various factors that compose the sensibility of pictorial images, and the factors are prioritized to enhance applicability. Recognitions of the sensibility in pictorial images differ due to diverse variables, but the photographed subjects themselves and the specific attributes of picture quality are the primary factors that influence the recognition. In order to achieve general and detailed results, broadly selected shooting subjects and images that have various picture quality attributes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1085-1089
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• 2015

Text-mining technique in the past had difficulty in realizing the analysis algorithm due to text complexity and degree of freedom that variables in the text have. Although the algorithm demanded lots of effort to get meaningful result, mechanical text analysis took more time than human text analysis. However, along with the development of hardware and analysis algorithm, big data technology has appeared. Thanks to big data technology, all the previously mentioned problems have been solved while analysis through text-mining is recognized to be valuable as well. However, applying text-mining to Korean text is still at the initial stage due to the linguistic domain characteristics that the Korean language has. If not only the data searching but also the analysis through text-mining is possible, saving the cost of human and material resources required for text analysis will lead efficient resource utilization in numerous public work fields. Thus, in this paper, we compare and evaluate the public document classification by handwork to public document classification where word frequency(TF-IDF) in a text-mining-based text and Cosine similarity between each document have been utilized in big data environment.

• Phonetics and Speech Sciences
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• v.12 no.4
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• pp.37-45
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• 2020

This paper quantitatively calculated the speech frequency of the discourse markers 'a', 'eo', and 'eum' and the speech duration of these discourse markers using the Seoul Corpus, a spontaneous speech corpus. The sound durations were confirmed with Praat, the Seoul Corpus was analyzed with Emeditor, and the results were presented by statistical analysis with R. Based on the corpus analysis, the study investigated whether a particular factor is preferred by speakers of particular categories. The most prominent feature of the corpus is that the sound durations of female speakers were longer than those of men when using the 'eum' discourse marker in a final position. In age-related variables, teenagers uttered 'a' more than 'eo' in an initial position when compared to people in their 40s. This study is significant because it has quantitatively analyzed the discourse markers 'a', 'eo', and 'eum' by gender and age. In order to continue the discussion, more precise research should be conducted considering the context. In addition, similarities can be found in "e" and "ma" in Japanese(Watanabe & Ishi, 2000) and 'uh', 'um' in English(Gries, 2013). afterwards, a study to identify commonalities and differences can be predicted by using the cross-linguistic analysis of the discourse.

• Korean Journal of Childcare and Education
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• v.5 no.1
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• pp.81-101
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• 2009

This study analyzed a total of 37 studies about bi-lingulism and English education as a foreign language published in 8 academic journals in early childhood education or child development fields. Research topics, participants, methods, and variables in the studies were categorized and descriptively analyzed. The research findings which had been statistically investigated were also summarized. The most frequently studied research topics were children's development and English education program exposure, actual conditions of English education in preschool settings and effectiveness of specific English programs for preschool children. However, children's home characteristics were seldom included as research variables and no research investigated so called English preschools. Several studies reported that bi-lingual children may have different language development paths from mono-lingual children but they eventually have comparable language abilities to mono-lingual children. Also some studies reported that, when learning English as a foreign language in school settings, older children can handle more information regarding English than younger children, resulting in better outcomes of older children. Exposure to two languages in early childhood seems to contribute to young children's meta linguistic awareness but the long term effect of English education in early childhood should be further studied. Several English education programs for preschool settings were developed and the effectiveness were investigated. Even though most of them reported that their programs were effective to children's English ability or interests, the results should be carefully interpreted because their research designs and methods were not rigorous.

• Korean Journal of Childcare and Education
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• v.7 no.3
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• pp.43-65
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• 2011

The purpose of this study was to investigate the current status of English education for toddlers at home and institutes, and influential variables upon mothers' demand on English education for their toddlers. Four hundred forty-one mothers who have toddlers under 36 months-old were surveyed using a questionnaire. Data were analyzed using frequency and logistic regression. Results of this study were as follows: It was found that 30.9% of mothers were providing English education to their toddlers. They started English education when their toddlers were between 24 months and 36 months because of parents' decision or English education in child care centers. English education was mostly given to their toddlers once or twice a week, less than 30 minutes a time with Korean teachers who majored in English. English lessons were focused on simple dialogue using multi media, worksheets, and workbooks. In other sense, 66.0% of mothers showed a positive perspective toward English education for toddlers. The higher salary, years of education, and degree of agreement on English education based on physiological, linguistic, and social perspectives were, the stronger the demand on English education was. Results of this study suggested that appropriate guidance for English education for toddlers needs to be provided.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.3
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• pp.43-54
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• 1997

Knowledge acquisition is one of the most difficult problems in designing fuzzy systems. As application domains of fuzzy systems become larger and more complex, it is more difficult to find the relations among the system's input- outpiit variables. Moreover, it takes a lot of efforts to formulate expert's knowledge about complex systems' control actions by linguistic variables. Another difficulty is to define and adjust membership functions properly. Soin conventional fuzzy systems, the membership functions should be adjusted to improve the system performance. This is time-consuming process. In this paper, we suggest a new approach to design a fuzzy system. We design a fuzzy system using two neural networks, Kohonen neural network and backpropagation neural network, which generate fuzzy rules automatically and construct inference network. Since fuzzy inference is performed based on fuzzy relation in this approach, we don't need the membership functions of each variable. Therefore it is unnecessary to define and adjust membership functions and we can get fuzzy rules automatically. The design process of fuzzy system becomes simple. The proposed approach is applied to a simulated automatic car speed control system. We can be sure that this approach not only makes the design process of fuzzy systems simple but also produces appropriate inference results.

• Education of Primary School Mathematics
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• v.21 no.1
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• pp.55-73
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• 2018

The purpose of this study is to investigate the effects of cognitive activity on cognitive activities that students imagine and cope with continuously changing quantitative changes in functional tasks represented by linguistic expressions, table of value, and geometric patterns, We identified covariational reasoning levels and investigated the characteristics of students' reasoning process according to the levels of covariational reasoning in the elementary quantitative problem situations. Participants were seven 4th grade elementary students using the questionnaires. The selected students were given study materials. We observed the students' activity sheets and conducted in-depth interviews. As a result of the study, the students' covariational reasoning level for two quantities that are continuously covaried was found to be five, and different reasoning process was shown in quantitative problem situations according to students' covariational reasoning levels. In particular, students with low covariational level had difficulty in grasping the two variables and solved the problem mainly by using the table of value, while the students with the level of chunky and smooth continuous covariation were different from those who considered the flow of time variables. Based on the results of the study, we suggested that various problems related with continuous covariation should be provided and the meanings of the tasks should be analyzed by the teachers.

• Korean Journal of Childcare and Education
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• v.9 no.5
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• pp.131-156
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• 2013

The purpose of this study was to examine the importance of parental beliefs, parental attitudes and parental behaviors of parents with preschool children and the relationship of the variables in an attempt to help preschoolers to gain multiple-intelligence experiences in an integrated manner in consideration of their interests, needs, strengths and weaknesses. A survey was conducted on the selected parents who had preschool children, and a multiple regression analysis was carried out to look for connections among the variables. The findings of the study were as follows: First, the preschool girls were ahead of the preschool boys in linguistic intelligence, musical intelligence and spatial intelligence, and the latter surpassed the former in logical-mathematical intelligence. Second, whether there would be any differences among the preschoolers in multiple intelligences according to age was analyzed, and those who were at the Western age of five were ahead of the four-year-olds in logical-mathematical intelligence, bodily-kinesthetic intelligence and naturalist intelligence. Third, the parental attitude of the parents was identified as the most influential variable for the multiple intelligences of the preschoolers, followed by parental behavior. Parental beliefs just had a very small impact on their multiple intelligences. The findings of the study imply that parents should be helped to improve their parental attitude and parental behavior to boost the multiple intelligences of their preschool children.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.99-118
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• 2015

Object-oriented programming languages have been widely selected for developing modern information systems. The use of concepts relating to object-oriented (OO, in short) programming has reduced efforts of reusing pre-existing codes, and the OO concepts have been proved to be a useful in interpreting system requirements. In line with this, we have witnessed that a modern conceptual modeling approach supports features of object-oriented programming. Unified Modeling Language or UML becomes one of de-facto standards for information system designers since the language provides a set of visual diagrams, comprehensive frameworks and flexible expressions. In a modeling process, UML users need to consider relationships between classes. Based on an explicit and clear representation of classes, the conceptual model from UML garners necessarily attributes and methods for guiding software engineers. Especially, identifying an association between a class of part and a class of whole is included in the standard grammar of UML. The representation of part-whole relationship is natural in a real world domain since many physical objects are perceived as part-whole relationship. In addition, even abstract concepts such as roles are easily identified by part-whole perception. It seems that a representation of part-whole in UML is reasonable and useful. However, it should be admitted that the use of UML is limited due to the lack of practical guidelines on how to identify a part-whole relationship and how to classify it into an aggregate- or a composite-association. Research efforts on developing the procedure knowledge is meaningful and timely in that misleading perception to part-whole relationship is hard to be filtered out in an initial conceptual modeling thus resulting in deterioration of system usability. The current method on identifying and classifying part-whole relationships is mainly counting on linguistic expression. This simple approach is rooted in the idea that a phrase of representing has-a constructs a par-whole perception between objects. If the relationship is strong, the association is classified as a composite association of part-whole relationship. In other cases, the relationship is an aggregate association. Admittedly, linguistic expressions contain clues for part-whole relationships; therefore, the approach is reasonable and cost-effective in general. Nevertheless, it does not cover concerns on accuracy and theoretical legitimacy. Research efforts on developing guidelines for part-whole identification and classification has not been accumulated sufficient achievements to solve this issue. The purpose of this study is to provide step-by-step guidelines for identifying and classifying part-whole relationships in the context of UML use. Based on the theoretical work on Meta-model Formalization, self-check forms that help conceptual modelers work on part-whole classes are developed. To evaluate the performance of suggested idea, an experiment approach was adopted. The findings show that UML users obtain better results with the guidelines based on Meta-model Formalization compared to a natural language classification scheme conventionally recommended by UML theorists. This study contributed to the stream of research effort about part-whole relationships by extending applicability of Meta-model Formalization. Compared to traditional approaches that target to establish criterion for evaluating a result of conceptual modeling, this study expands the scope to a process of modeling. Traditional theories on evaluation of part-whole relationship in the context of conceptual modeling aim to rule out incomplete or wrong representations. It is posed that qualification is still important; but, the lack of consideration on providing a practical alternative may reduce appropriateness of posterior inspection for modelers who want to reduce errors or misperceptions about part-whole identification and classification. The findings of this study can be further developed by introducing more comprehensive variables and real-world settings. In addition, it is highly recommended to replicate and extend the suggested idea of utilizing Meta-model formalization by creating different alternative forms of guidelines including plugins for integrated development environments.