• Journal of Korean Library and Information Science Society
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• v.36 no.2
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• pp.165-178
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• 2005

This study aims to identify the status of the classification retrieval operation by investigating and analyzing the classification retrieval related to the books in the university libraries. The Investigation concentrated on whether the classification retrieval service is provided, Access Method and classification retrieval level. The data was collected from 97 libraries where URL access was available during the period of survey in 100 libraries selected by the systematic sampling. As a result, while $92.8\%$ of 97 libraries provided the classification retrieval service, $52.2\%$ of it enabled the access to classification retrieval service only by the classification number and $47.8\%$ by classification number and classification directory. Consequently, it was found that the retrieval environment in the libraries where the access was enabled only by classification number should be urgently improved for the activation of classification retrieval.

• Journal of Korean Elementary Science Education
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• v.24 no.3
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• pp.281-291
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• 2005

The purpose of this study was to investigate elementary school pupil's classification ability that appears in classification activity. For this study, we developed 2 suitable tools in classification activity achievement. One is artificial stimulus card that comes into view clearly. The other is natural stimulus card that does not come into view well. The test was administrated to 376 pupils of 2, 4, and 6 grade in D elementary School in Yeongdeungpo-gu, Seoul. The result proved in this study was as following. First, elementary school pupil's classification ability showed the developmental change as the grade level rises. Second, there was no statistical difference between boys and girls. Third, there was high correlation between sort artificial category and natural category in their ability. Fourth, classification achievement rate of constant level by grade was seen regardless of the items. The findings above gives following guidance in science classification learning. First, if teacher understands the development of students' classification ability, more effective classification guidance is available. Second, to cultivate students' classification ability, we should devise and apply program depending on their classification ability by grade.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.3
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• pp.249-265
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• 2016

The objective of this study is to analyze the characteristics of Cutter's Expansive Classification. The four elements about classification evaluation were applied to analyze it. Results show that first, from philosophy and religion class to literature class, the order of main classes is logical and evolutionary. Second, the notation is a pure notation including author mark. Third, the classification is expansive from first classification to seventh classification. Science classes were expanded in the second classification comparing to the first classification. From the third classification, all classes were expanded. Fourth, it was applied by the local list to indicate places emphasizing connection of geographical space.

• Journal of Korean Library and Information Science Society
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• v.35 no.3
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• pp.293-319
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• 2004

This study reviews classification used the Chosun Government-General Library which library was the first of a government library in the Korea Chosun Government-General Library made and used the Eastern Books Classification, Old Books Classification and foreign Books Classification. This study investigates the characteristics of the Chosun Government-General Library Classification which library was a government library at the time of Japanese occupation of Korea. This study also compares and analyzes the classification with other major related classification system at that time to identify the relationship of influence among them.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.2
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• pp.9-17
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• 2011

For the exact status of the land such as land cover classification and land use classification, feature classification system has been utilized in several organizations and agencies. However, those classification systems are limited to detection of land change and it's also not suited for the extraction of land changed. In this study, we would proposed a standard feature classification system which presents both in natural and artificial change of land effectively. Based on comparison and analysis of domestic and foreign relevant feature classification system, we proposed a standard feature classification system. In order to validate the applicability of the proposed feature classification system, we evaluated the accuracy with using automatic feature classification based on supervised classification and pre-knowledge hierarchical classification.

• Journal of Korea Multimedia Society
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• v.21 no.12
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• pp.1417-1424
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• 2018

In order to improve the performance of image classifications using Convolutional Neural Networks (CNN), applying a category hierarchy to the classification can be a useful idea. However, the visual separation of object categories is very different according to the upper and lower category levels and highly uneven in image classifications. Therefore, it is doubtable whether the use of category hierarchies for classification is effective in CNN. In this paper, we have clarified whether the image classification using category hierarchies improves classification performance, and found at which level of hierarchy classification is more effective. For experiments we divided the image classification task according to the upper and lower category levels and assigned image data to each CNN model. We identified and compared the results of three classification models and analyzed them. Through the experiments, we could confirm that classification effectiveness was not improved by reduction of number of categories in a classification model. And we found that only with the re-training method in the last network layer, the performance of lower category classification was not improved although that of higher category classification was improved.

• Journal of Korean Library and Information Science Society
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• v.48 no.3
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• pp.45-61
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• 2017

The objective of this study is to understand the application of relative location system and minute classification system in the DDC and to identify the effect of the relative location system and minute classification system during the late of 19th century. In order to achieve the objective, four main investigation areas were chosen: relative location system, minute classification system, and DDC influence to other libraries and classification systems. First, DDC applied a relative location system revolutionarily instead of a fixed location system for arranging books on the shelves, so it opened the period of modern library classification systems. Second, it used a minute classification system, and could classify books which had minute subjects. Third, it applied form to a criterion for dividing divisions and sections, so it helped for classifying books. Fourth, it used a numerical decimal system as a classification system, then people could use it economically and practically. Last, DDC influenced modern classification system such as the Expansive Classification and the Subject Classification etc. DDC is a suitable library classification system for the needs of the times, and it is a practical classification system for each library.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.8B
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• pp.707-718
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• 2008

The methodology of classifying traffics is changing from payload based or port based to machine learning based in order to overcome the dynamic changes of application's characteristics. However, current state of traffic classification using machine learning (ML) algorithms is ongoing under the offline environment. Specifically, most of the current works provide results of traffic classification using cross validation as a test method. Also, they show classification results based on traffic flows. However, these traffic classification results are not useful for practical environments of the network traffic monitoring. This paper compares the classification results using cross validation with those of using split validation as the test method. Also, this paper compares the classification results based on flow to those based on bytes. We classify network traffics by using various feature sets and machine learning algorithms such as J48, REPTree, RBFNetwork, Multilayer perceptron, BayesNet, and NaiveBayes. In this paper, we find the best feature sets and the best ML algorithm for classifying traffics using the split validation.

• Journal of Korean Library and Information Science Society
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• v.15
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• pp.113-151
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• 1988

The enumerative classification schemes do not represent the tiny mass of knowledge embodied in a article in a periodical or in a chapter or a paragraph of a book. But today's information centers regard a tiny spot of knowledge embodied in a article as a class. we call this micro-thought. But the enumerative classification are manual systems, it cannot be a n.0, pplied to the automation of classification. The purpose of this study is to build a general principle for the automatic book-classification which can be put to use in library operation, and to present a methodology of the automatic classification for the library. The methodology used is essentially theoretical, Published works by and about Ranganathan, especially 6th edition of the CC were studied, analyzed. The principle of automatic book classification derived from the analysis of colon classification and facet combinations. The results of this study can be summarized as follows ; (1) This study confined the fields of library science and agriculture. (2) This study represent a general principles for the automatic book classification of library science and agriculture. (3) Program flowcharts are designed as a basis of system analysis and program procedure in library science and agriculture. (4) The principles of the automatic classification in library, science is different from that of agriculture. (5) Automatic book classification can be performed by the principle of faceted classification, by inputting the title and subject code into a computer. In addition, the expected value from the automatic book-classification is as follows (1) The prompt and accurate of classification is possible. (2) Though a book is classified in any library, it can have same classification number. (3) The user can retrieve the classification code of a book for which he or she wants to search through dialogue with the computer. (4) Since the concept coordination method is employed, a tiny mass of knowledge embodied in a article in a periodical or in a chapter or a paragraph of a book can be represented as a class. (5) By performing automatic book-classification, the automation of library operation can be completed.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.4
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• pp.633-643
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• 2002

Purpose : This study was conducted to develop a patient classification system for hemodialysis and to test its validity and reliability. Method : The process of the system development was as below. The lists of hemodialysis nursing activities were collected from literature and hemodialysis practice guideline and they were classified into 10 factors and 16 elements. And then, 4 classification levels were identified for each element. The content validity and interrater reliability of developed patient classification system were tested. Result & Conclusion : 10 factors of patient classification system for hemodialysis were consisted of psychosocial support, mobility, access, teaching, assessment, stability, supportive therapy, test, general nursing during hemodialysis, hemodialysis room management. According to validity and reliability results and experts' opinions, 4 classification levels revised to 3 classification levels and 2 elements were deleted. Finally, patient classification system were consisted of 10 factors, 14 elements, 3 classification levels, 3 categories.