• Journal of the Korea Society of Computer and Information
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• v.14 no.5
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• pp.11-17
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• 2009

It's a trend that the proportion of using an internet messenger among on-line communication methods is getting increased. However, there are not many applications which efficiently utilize these messenger communication data. Messenger communication data have specific characteristics that reflect the user's linguistic habits. The linguistic habits are revealed through frequently used words and emoticons, and user's emotions can be grasped by these. This paper proposes the method that efficiently classifies the emotions of a messenger user using frequently used words or symbols. The emotion classifier from repeated experiments achieves high accuracy of more than 95%.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.117-137
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• 2010

The purposes of this study are to review the historical development of food and culture in the KDC (Korean Decimal Classification) and to propose improvements of the KDC to classify materials of food and culture by using the KDC effectively. First of all, changes of classification numbers and headings related to food and culture from the 1st edition to the 5th edition of the KDC were examined. Recent books about food and culture were examined and were classified according to the latest edition of the KDC. Several problems were found including a lack of headings, including notes in food and culture, a lack of headings about Korean foods in particular and reflections about various foods from other countries, a lack of detailed relative headings, and the remaining western oriented headings. Other classification systems about food and culture were analyzed and it was found that there was a need to have new headings for classifying Korean traditional foods and table services, new formats for a relative index, detailed notes, and changes in western oriented headings.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.231-250
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• 2011

The purposes of this study are to review characteristics and research areas of environmental studies; to compare and analyze environmental studies in research classifications and Korean societies from Korea Research Foundation(KRF) as well as decimal classification systems such as KDC, DDC, NDC and to suggest several modifications for environmental studies in KDC for the next edition. First of all, environmental philosophy, environmental sociology, environmental education, environmental toxicology, environmental architecture, and environmental geography are suggested to add to the main schedule in KDC and -0276 green technology(environmental technology) is suggested to add to Table 1. Standard subdivision. And new classification numbers for environmental law and environmental public administration are suggested in law and public administration.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.5
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• pp.959-970
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• 1994

In this thesis, a printed score is read by using handy scanner and the recognition process is excuted in parallel, finally, on Mesh-Connected Computer. What is read is classified into certain patterns and is recognized, based on knowledge. The preprocessing steps are minimized and simple operations are used in the algorithm proposed in this thesis. The score symbols on a printed score can be recognized irrespective of their sizes but their diversity males it difficult to recognize them all, so it is programmed so as to recognize some symbols that is used necessarily and frequently. The recognized result is transformed into the MIDI standard file format. It is required to use a parallel processing system with multiprocessors because the high speed image processing is required. A digitized two-dimensional image is appropriate in processing on the SIMD Mesh-Connected Computer(MCC). Therefore, we explain this architecture and present parallel algorithm using SIMD MCC with n processors that achieves time complexity0(n).

• Journal of the Computational Structural Engineering Institute of Korea
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• v.22 no.4
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• pp.323-330
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• 2009

This paper proposes a methodology for automatic hierarchy classification of subtitles in a engineering document by the a fact that heading symbols of subtitles represent a hierarchical structure of the document. The proposed methodology is composed of two methods: extracting subtitles from plan text document and determining hierarchical structure of the subtitles. The subtitles in a document is extracted by comparing heading symbol patterns with predefined heading symbol groups, and the depth levels of the subtitles are determined by analyzing relative location of subtitles according to change of the heading symbol patterns. A prototype module, which can transform a plain text document into a structured XML document in accordance with a hierarchical structure of subtitles, is developed based on the proposed methodology, and the performance of the module is analyzed with 20 engineering documents.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.315-328
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• 2018

In this paper, we examine the methodology to predict consumer preferences using several groups of attributes of products and application to real data. In the food industry, studies are in progress to investigate the relationship between product attributes and consumer preferences; consequently, various methodologies are proposed. Among these methodologies, we consider multiple factor analysis (MFA). The result of the MFA enable the division of consumers into four clusters with similar liking and the defining of preference characteristics for each cluster. Also, using the results of multiple factor analysis, we find the partial least squares path model to predict consumer preferences through the characteristics of the product and the characteristics evaluated by consumers. We can understand the relationship between the cluster of consumers and the preferred/undesirable characteristics of products through the partial least squares path model applied to two clusters with different liking. When multiple factor analysis is used in the partial least squares path model, it is possible to investigate relationships between products and consumers by analyzing product characteristics and consumer preferences simultaneously. The results can be applied to product developments and sales which makes this methodology important and useful.

• Journal of Korean Library and Information Science Society
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• v.33 no.2
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• pp.167-187
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• 2002

This study suggests a plan of tables of deference for Korean Decimal Classification, 4th edition, based on the study on those in Dewey Decimal Classification, 21st edition. It suggests two tables for the Auxiliary Tables, one for standard subdivisions and one for subdivisions for literature. Twenty-two tables are suggested for the Schedule of ten main classes.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.133-150
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• 2021

The purpose of this study is to identify the applicability of machine learning targeting titles in the classification of books in public libraries. Data analysis was performed using Python's scikit-learn library through the Jupiter notebook of the Anaconda platform. KoNLPy analyzer and Okt class were used for Hangul morpheme analysis. The units of analysis were 2,000 title fields and KDC classification class numbers (300 and 600) extracted from the KORMARC records of public libraries. As a result of analyzing the data using six machine learning models, it showed a possibility of applying machine learning to book classification. Among the models used, the neural network model has the highest accuracy of title classification. The study suggested the need for improving the accuracy of title classification, the need for research on book titles, tokenization of titles, and stop words.

• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.1-21
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• 2004

The purpose of this study is to investigate historical backgrounds, maintenance, revision and application areas of UDC(Universal Decimal Classification) in order to understand current issues of it systematically. Since 1905, n has been extensively developed and is now administered by UDC Consortium(UDCC). UDCC updates MRF(Master Reference File), an electronic form of the UDC schedules, once a year. UDC updates and publishes standard edition extended edition, and abridged edition according to the degrees of notion abridgement, and is available on the web. UDC can be now applicable to collection arrangement, SDI(Selective Dissemination of Information) service, searching subject bibliographies, switching language or subject gateway and metadata on the Internet, and automatic classification.

• Journal of Korean Library and Information Science Society
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• v.34 no.2
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• pp.255-271
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• 2003

This study intends to suggest a new table for religion of DDC. It analyzes the classes in 291.1-291.9 in DDC 21 and investigates the inconsistencies and other problems in the classes included in other religions in DDC 21. Comparing with each classes in various religions in DDC 21 and other tables suggested in other classificatory systems and former research, it recommends a new table of religion for DDC with the expansions and relocations of related classes including Christianity and examines its applicability to DDC using some examples.