• Journal of the Korean Geographical Society
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• v.48 no.6
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• pp.929-943
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• 2013

This paper examines the evaluation and categorization of national heritage 'Myeongseung(scenic places)' from the viewpoint of world heritage concept and its criteria. This study focuses on Myeongseung because the author thinks it implies the unique human-nature relationships that have been evolved in Korean Peninsula, and then draws some pending problems with the evaluation of those heritage. Formerly, the paper discusses theoretically the outcome and point at issue on concept, criteria, evaluation of world heritage, and then proposes three issues on the evaluation and categorization of national heritage 'Myeongseung': first, the establishment of basic concept for evaluation of heritage; second, the building of unified criteria list to cover both natural and cultural heritage; and third, the reorganization of categories for the advanced registration and management. Especially, the author emphasizes that it is necessary rather to extend actively the world heritage concept than to regard it as a fixed framework.

• Journal of the Korea Society of Computer and Information
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• v.8 no.3
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• pp.113-123
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• 2003

Many researches on the application of neural networks for making financial index prediction have proven their advantages over statistical and other methods. In this paper, a neural network model is proposed for the Buying, Holding or Selling timing prediction in stocks by the price index of stocks by inputting the closing price and volume of dealing in stocks and the technical indexes(MACD, Psychological Line). This model has an equalized multi-layer arithmetic function as well as the time series prediction function of backpropagation neural network algorithm. In the case that the numbers of learning data are unbalanced among the three categories (Buying, Holding or Selling), the neural network with conventional method has the problem that it tries to improve only the prediction accuracy of the most dominant category. Therefore, this paper, after describing the structure, working and learning algorithm of the neural network, shows the equalized multi-layer arithmetic method controlling the numbers of learning data by using information about the importance of each category for improving prediction accuracy of other category. Experimental results show that the financial index prediction using the equalized multi-layer arithmetic neural network has much higher correctness rate than the other conventional models.

• Journal of Gifted/Talented Education
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• v.22 no.2
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• pp.333-352
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• 2012

Creativity has been suggested as a prime educational objective by national curriculum of Korea and research on creativity education has been increased since 2000s. How the researcher conceptualizes and approaches creativity affects the research. The purpose of this study is to explore directions of creativity research in education by analyzing its approach based on its categories and levels of creativity. The results of the study shows the following: (1)studies with a definition of creativity are more than without it but the former has been decreasing and the latter increasing little by little. (2)Studies which focus on person, cognitive or emotional characteristics, are the most. And process, environment, and product follow. (3)Regarding the levels of creativity, most was done on little-c creativity level, on the other hand, very limited studies conceptualized the creativity in educational context. Studies having an interest in mini-c creativity level were hardly found.

• Journal of KIISE:Software and Applications
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• v.33 no.7
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• pp.646-654
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• 2006

Directory searching and index searching methods are two main methods in web search engines. Both of the methods are applied to most of the well-known Internet search engines, which enable users to choose the other method if they are not satisfied with results shown by one method. That is, Index searching tends to come up with too many search results, while directory searching has a difficulty in selecting proper categories, frequently mislead to false ones. In this paper, we propose a novel method in which a category hierarchy is dynamically constructed. To do this, a category is regarded as a fuzzy set which includes keywords. Similarly extensible subcategories of a category can be found using fuzzy relational products. The merit of this method is to enhance the recall rate of directory search by expanding subcategories on the basis of similarity.

• Journal of Information Management
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• v.35 no.4
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• pp.81-105
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• 2004

In this study, the way of the automatic text categorization on web-based query was implemented. X2 methods based on the Supported Vector Machine were used to test the efficiency of text categorization on queries. This test is carried out by the model using the Synonymy List. 713 synonyms were extracted manually from the tested documents. As the result of this test, the precision ratio and the recall ratio were decreased by -0.01% and by 8.53%, respectively whether the synonyms were assigned or not. It also shows that the Value of F1 Measure was increased by 4.58%. The standard deviation between the recall and precision ratio was improve by 18.39%.

• Cross-Cultural Studies
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• v.51
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• pp.103-131
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• 2018

This study examines motivations for international students to study abroad at Korean universities. Employing qualitative and mixed methods, this study used grounded theory to analyse data obtained from student interviews, essays, digital storytelling videos, and student video representations to explicate the nature of study of six subjects. All subjects were enrolled in English Education courses during years 2014-2017. The researcher was the course instructor. Results from this study revealed that major codes that emerged from data analyses were those of economics, culture, language study, and personal development, corroborating with findings of most research literature regarding international students' motivations (OUSO, 2015). However, survey of professional literature and study data showed that motivational codes presented in the literature and this study, were discursive in nature in that each code was not only connected to all other codes, but also mutually co-constructive. As such, this study suggests that motivational codes found in study abroad literature were discursive in nature, resembling Bourdieu's (1991) theory of economic, social, and cultural capitals. Results of this study suggest that various motivations for studying abroad are subsumed under economic logic of expense and career development.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.283-292
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• 2019

The loss of semantic knowledge and impairments in semantic associations by semantic category is gaining increasing attention, as indicators of early-stage cognitive decline. As such, we assigned semantic association task (SAT) to normal elderly (NE) and those with subjective memory impairment (SMI) or mild cognitive impairment (MCI) to examine their performance by semantic subcategories and the differences in error patterns. We found a significant difference in the number of correct response and reaction time under the SAT categories among the three groups, with the highest performance observed in 'function' and the lowest performance in 'superordinate' and 'part/whole'. Moreover, the error frequency was the lowest in NE, followed by those with SMI and MCI, with the latter two groups showing a significant increase in no-response. Our findings demonstrate the varying extent and process of impairments in the semantic network by category over different stages of cognitive decline. Thus, we proposed SAT performance as an indicator to detect and follow-up on cognitive decline in elderly with cognitive disorder.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.65-84
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• 2019

This study attempted to predict citizens' emotions regarding mortgage rates using machine learning algorithms. To accomplish the research purpose, I reviewed the related literature and then set up two research questions. To find the answers to the research questions, I classified emotions according to Akman's classification and then predicted citizens' emotions on mortgage rates using six machine learning algorithms. The results showed that AdaBoost was the best classifier in all evaluation categories. However, the performance level of Naive Bayes was found to be lower than those of other classifiers. Also, this study conducted a ROC analysis to identify which classifier predicts each emotion category well. The results demonstrated that AdaBoost was the best predictor of the residents' emotions on home mortgage rates in all emotion categories. However, in the sadness class, the performance levels of the six algorithms used in this study were much lower than those in the other emotion categories.

• The Journal of Korean Philosophical History
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• no.50
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• pp.333-361
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• 2016

The purpose of this study is to delve into reinterpretation and categorization of normative meaning of tradition. The normative meaning of tradition which plays a key role of the action-guiding power is the main source of morality. According to ecological cultural approach to diachronic transition of traditional value, traditional value leads its dynamic life: its origin, acculturation, transformation, distortion of traditional value depending upon periodic social change. It is necessary for traditional value to be reinterpreted and categorized, with a view to contributing to attribute & competency of democratic citizen in future society. The normative meaning of traditional value applicable for Korea's future society can be reinterpreted from its origin revealed in the classic. The order of discussion in this paper runs as follows. Firstly, we will investigate into dynamic change of the traditional value on the basis of the ecological cultural perspective and seek the possibility of modern reinterpretation of loyalty & filial piety as representative traditional value. Finally, we will treat the categorization and its significance of traditional value in the frame of Korean value including both western value and Korean traditional value.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.221-232
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• 2022

In this study, nursing students' perception of the elderly through content analysis were reviewed. Data collection took place from June to July, 2022, 63 statements suitable for the purpose of the study were analyzed. As a result, they were classified into 4 categories and 10 themes, 45 sub-themes. 1) 'Perspective for the Elderly' category involved negative view, positive view, sympathetic view, and indifference, 2) 'Aging Process' category involved the elderly's figure, 3) "The Elderly in Society" category involved the elderly in modern society, social phenomenon, right of the elderly, 4) 'Improving Relationships with the Elderly' category involved understanding the elderly, self-reflection. The topics derived in this way can be used as basic data to help nursing college students understand the perception of the elderly and improve the perception of the elderly.