• Kyungpook Mathematical Journal
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• v.63 no.4
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• pp.709-718
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• 2023

The inner automorphism groups of quandles are related to the classification problem of quandles. The inner automorphism group of a quandle is generated by inner automorphisms which are presented by columns in the operation table of the quandle. In this paper, we describe inner automorphisms of an abelian extension of a quandle by expressing columns of the operation table of the extended quandle as columns of the operation table of the original quandle. Such a description will be helpful in studying inner automorphism groups of abelian extensions of quandles.

• The Korean Journal of Community Living Science
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• v.12 no.2
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• pp.119-135
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• 2001

This study was conducted to compare the composition table of Korean food with that of foreign food. Analysis was made for Korean food composition table($5^{th}$ revision), Korean food composition table in Appendix of Recommended Dietary Allowances for Korean(6$^{th}$ th/ edition), Standard tables of food composition in Japan($5^{th}$ revised edition) and USDA Composition of Foods - Raw, Processed, Prepared. The method of content analysis was applied for this study and such differences were pointed out as the classification of food items, food items enlisted, the content unit of food and food components presented etc. To improve Korean food composition table, new food items and components should be added and old food items be eliminated based on the change of people's food consumption pattern. Also analysis for the domestic foods consumed by local people should be accomplished rather than borrowing foreign country's data.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.4
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• pp.79-95
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• 2001

This study suggests adaptations and expansions of DDC 21 for the Korean libraries. Adapted and expanded tables of Table 2, Table 5, and Table 6 are added regularly in the related subjects in the schedules. Classes of 200 Religion and 745.61 Calligraphy are newly adapted and expanded. Classes for Oriental medicine (610.95) and Korean music (789) are suggested. Other classes of 030, 050, 060, 070, 080, 181, 310, 340, 400, 800, 915, 950 are adapted based on the previous studies.

• Journal of Korea Technology Innovation Society
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• v.9 no.3
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• pp.496-513
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• 2006

Ministry of Science and Technology(MOST) has a plan to establish the National Science and Technology Information System(NTIS). For successful NTIS, there are three pre-standardizations. Standard classification is the one of the three standardizations. In this paper, the validity of current National Standard Classification of Science and Technology(NSCST) is analyzed for three aspects. One is the duplication of NSCST, one another is the high ratio of incorrectness of information changed by mapping table and the last is the incorrectness of the mapping table itself. So for the successful NTIS a new Science and Technology Classicication shoud be considered.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.36-41
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• 2010

An advanced form of Multistage Feature-based Classification Model(AMFCM), called AMFCM, is proposed in this paper. AMFCM like MFCM does not use the concatenated form of available feature vectors extracted from original data to classify each data, but uses only groups related to each feature vector to classify separately. The prpposed AMFCM improves the contribution rate used in MFCM and proposes a confusion table for each local classifier using a specific feature vector group. The confusion table for each local classifier contains accuracy information of each local classifier on each class of data. The proposed AMFCM is applied to the problem of music genre classification on a set of music data. The results demonstrate that the proposed AMFCM outperforms MFCM by 8% - 15% on average in terms of classification accuracy depending on the grouping algorithms used for local classifiers and the number of clusters.

• Journal of KIISE:Information Networking
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• v.28 no.2
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• pp.251-261
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• 2001

The traffic on the Internet has been growing exponentially for some time. This growth is beginning to stress the current-day routers. However, switching technology offers much higher performance. So the label switching network which combines IP routing with switching technology, is emerged. EspeciaJJy in the data driven label switching, flow classification and cache table management are needed. Flow classification is to classify packets into switching and non-switching packets, and cache table management is to maintain the cache table which contains information for flow classification and label switching. However, the cache table management affects the performance of label switching network considerably as well as flowclassification because the bigger cache table makes more packet switched and maintains setup cost lower, but cache is restricted by local router resources. For that reason, there is need to study the cache replacement scheme for the efficient cache table management with the Internet traffic characterized by user. So in this paper, we propose several cache replacement schemes for label switching network. First, without the limitation at switching capacity in the router. we introduce FIFO(First In First Out). LFC(Least Flow Count), LRU(Least Recently Used! scheme and propose priority LRU, weighted priority LRU scheme. Second, with the limitation at switching capacity in the router, we introduce LFC-LFC, LFC-LRU, LRU-LFC, LRU-LRU scheme and propose LRU-weighted LRU scheme. Without limitation, weighted priority LRU scheme and with limitation, LRU-weighted LRU scheme showed best performance in this paper.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.1
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• pp.97-103
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• 2009

The status and the property of a tongue are the important indicators to diagnose one's health like physiological and clinicopathological changes of inner organs. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, classifying tongue coating is inevitable but difficult since the features like color and texture of the tongue coatings and substance have little difference, especially in the neighborhood on the tongue surface. The proposed method has two procedures; the first is to acquire the color table to classify tongue coatings and substance by automatically separating coating regions marked by oriental medical doctors, decomposing the color components of the region into hue, saturation and brightness and obtaining the 2nd order discriminant with statistical data of hue and saturation corresponding to each kind of tongue coatings, and the other is to apply the tongue region in an input image to the color table, resulting in separating the regions of tongue coatings and classifying them automatically. As a result, kinds of tongue coatings and substance were segmented from a face image corresponding to regions marked by oriental medical doctors and the color table for classification took hue and saturation values as inputs and produced the classification of the values into white coating, yellow coating and substance in a digital tongue diagnosis system. The coating regions classified by the proposed method were almost the same to the marked regions. The exactness of classification was 83%, which is the degree of correspondence between what Oriental medical doctors diagnosed and what the proposed method classified. Since the classified regions provide effective information, the proposed method can be used to make an objective and standardized diagnosis and applied to an ubiquitous healthcare system. Therefore, the method will be able to be widely used in Oriental medicine.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.1-21
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• 2020

This study applied automatic classification using table of contents (TOC) text for 6,253 social science books from a newly arrived list collected by a university library. The k-nearest neighbors (kNN) algorithm was used as a classifier, and the ten divisions on the second level of the DDC's main class 300 given to books by the library were used as classes (labels). The features used in this study were keywords extracted from titles and TOCs of the books. The TOCs were obtained through the OpenAPI from an Internet bookstore. As a result, it was found that the TOC features were good for improving both classification recall and precision. The TOC was shown to reduce the overfitting problem of imbalanced data with its rich features. Law and education have high topic specificity in the field of social sciences, so the only title features can bring good classification performance in these fields.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.5
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• pp.618-623
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• 2011

This paper proposes a novel method to discriminate meaningful tables from decorative one using a composite kernel for handling structural information of tables. In this paper, structural information of a table is extracted with two types of parse trees: context tree and table tree. A context tree contains structural information around a table, while a table tree presents structural information within a table. A composite kernel is proposed to efficiently handle these two types of trees based on a parse tree kernel. The support vector machines with the proposed kernel dised kuish meaningful tables from the decorative ones with rich structural information.

• Journal of Sericultural and Entomological Science
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• no.11
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• pp.81-86
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• 1970

This report was prepared to compare and analyze the testing method and classification of winding test in Korea to that in Japan, and the obtained results, which had been carried out, in Korea, from Sep. to Nov. in 1968 and in Japan through June in 1968, was as followings. 1. In Korean raw silk, (21 D.) the average number of breaks on winding test showed 5.91 by Korean Method but showed 8.6 by Japanese method and the latter increased to 2.7. On the other hand in Japanese raw silk, it showed 3.6 by Korean method but 4.7 by Japanese method and the latter increased to 1.1. (See Table 2,3) 2. It was seemed the tendency that the lot distribution of breaks number in Korean silk was mostly concentrated to the breaks No. 3,4 and 5(48％) by Korean method but in case of Japanese method to the breaks number 5,6 and 7(36％), and the tendency that the concentration depended mostly on the increased number of breaks. In Japanese raw silk, it was seemed the tendency that the lot distribution of breaks number was mostly concentrated to the breaks number 1. 2, and 3 (55％) by Korean Method but in case of Japanese Method to the breaks number, 2,3 and 4(50％) and the tendency that the concentration was as similar as the above. (See Table 2,3) 3. It was found the tendency that the distribution of breaks number during the open winding test was mostly concentrate red to the average number of breaks not only in Korea but in Japan. The rate 0: non-breaks, however, showed 43％ of Japan, to 7％ of Korea. (See Table 4) 4. Applying Table 1,2 to the Classification of Korea and Japan, the class distribution by Korean table showed 68％ of class 1(6), 22％ of cl ass 2(10) and 9％ of class 3(15) in Korean silk, while that by Japanese table showed 13％ of class 1(4), 56％ of class 2(10) and 29％ of class 3(18). And then the testing result to be class 1 or 2 by Korean table was. degraded from class 1 to class 2 of 55％ and from class 2 to class 3 of 20％ down. In Japanese silk, however, the class distribution by Korean table showed 85％ of class 1 (4), 10％ of class 2(10) and 5％ of class 3(18) but that by Japanese table showed 60％ of class 1(4), 33％ of class 2(10) and 7％ of class 3(18). And then there was little difference in the rate of class distribution. 5. Through the above investigation, it was seemed that Japanese classification table was only prepared for the r∼w silk of Japan, considering that the width of class 1(4) in winding table was greatly tighter than that of Korea. Because it was generally evaluated that Korean silk in quality especially in the winding test was better (next to Japan) than any other countries. 6. We could venture to estimate that, applying to Japanese method, the testing result of break number in Korean silk would show from about 6 by Korean method to 9. And then it would be found degrading hi the testing result of winding test increased gradually.