• Journal of the Korean Society for Library and Information Science
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• v.12
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• pp.201-224
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• 1985

The traditional oriental materials are very important to study on Oriental or Korean studies. Every reseacher that study on this field is familier to Four Category Classification Scheme (四部分類法) as it is based on the traditional knowledge of Orient. Then, when all materials of libraries will he computerized, it will be the first condition that will has to understand about the classification of division and section of oriental knowledge, because not only ancient literature but also many dissertation of this subject will be classified. Therefore, Four Category Classification Scheme has been valuable until now. This paper is intended to help librarians to classify the traditional oriental materials or the dissertation concerned with that, to serve researched user that literatures which have been filed among various traditional bibliographies. The outline of this study are as follows: :1 Examining closely origins, developing process and characteristics of classification of Confacian Classics Part (經部) of Four Category Classification Scheme. (2) Explaning the content of division and section of Confucian Classics Part (經部). (3) Coordinating relation of division and section of Confucian Classics Part as well as those of other parts of the classification scheme. (4) Clearing up the limitation of classification related to other division. (5) Attempting to give basic knowledge on practical classification as concrete examples beloging to each division and section of classification.

• The KIPS Transactions:PartD
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• v.14D no.5
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• pp.491-500
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• 2007

In order to classify and manage on-line trading goods, the product classification scheme must be maintained. In most systems for handling product information, the classification scheme is managed manually by experts, which in general incurs a lot of time and cost. Effective management of classification system becomes more important as rapid development of industry expedites diversity and convergence of goods and services. There have been many researches on developing classification scheme, and continuing in this line of research, this paper proposes a new method for automatic generation of product classification scheme. Our main idea starts from the concept that a product is a set of attributes, and we propose a novel algorithm for automatically creating hierarchical classification scheme by utilizing inclusive relationships between products. We then prove the effectiveness of proposed algorithm by conducting an experiment.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.1 no.1
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• pp.31-49
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• 1972

Nowadays, the studies of Orientalogy and Koreanalogy have been developed remarkably. Consequently, the works of commentaries, criticism, translations and the various studies on the matter have been published in quantities. It is also expected that there will be much progress on the above mentioned fields of learning in the future. In this situation, the paper is intended for the professional librarians serving in the field to be familiar with the classification of historical part of the traditional Four Category Classification Scheme (四部分類法). The following topics are mainly dealt with. 1) Studying the origins and characters of classification of historical part of the classification Scheme. 2) Comparing the correlations of division and section of historical part as well as those of other parts of the classification scheme. 3) Explaining the limitation of classification relating to others while presenting the examples to aid for understanding. 4) Giving the principal knowledge on the practice of classification. 5) Attempting for the librarians to make literatures more easily usable among the various systematized bibliographies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.2
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• pp.99-118
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• 2020

The purpose of this study is to suggest the faceted classification scheme as a new classification scheme for 1,136 records (1950-1979) collected from UNESCO which are related to Korea. After extracting 1,601 nouns from the titles and index terms of the 1,136 records, they were classified and categorized based on the temporarily set fundamental categories. Through repeated classification and categorization, the last category names were derived as facets. As a result, the faceted classification scheme for Korea related records are structured into 10 basic facets and 38 sub-facets.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.419-448
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• 2013

This study is to describe the principles and outcome of the development for a classification scheme of presidential records to manage efficiently and provide them as archival information service productively. First, this scheme accommodates a management aspect, taking consideration into the aspect of archival records as the results of government administrative duties. Additionally, governance aspects are embraced into this scheme since presidential records can be seen as the results of governing purpose. We are considering the functional aspects of the public records too. As a result, this scheme adopts both management and governance aspect. Focusing on reflecting both functional and governance aspects, first analyzes existing classification systems in domestic and abroad. Finally, this study proposes 24 first-level, 114 second-level, and 179 third-level classification categories. Archivists and classification experts examined the classification scheme for verification by advisory meetings.

• Nuclear Engineering and Technology
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• v.47 no.2
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• pp.176-186
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• 2015

Pattern classifications have become important tools for fault diagnosis in nuclear power plants (NPP). However, it is often difficult to obtain training data under fault conditions to train a supervised classification model. By contrast, normal plant operating data can be easily made available through increased deployment of supervisory, control, and data acquisition systems. Such data can also be used to train classification models to improve the performance of fault diagnosis scheme. In this paper, a fault diagnosis scheme based on semisupervised classification (SSC) scheme is developed. In this scheme, new measurements collected from the plant are integrated with data observed under fault conditions to train the SSC models. The trained models are subsequently applied to new measurements for fault diagnosis. In comparison with supervised classifiers, the proposed scheme requires significantly fewer data collected under fault conditions to train the classifier. The developed scheme has been validated using different fault scenarios on a desktop NPP simulator as well as on a physical NPP simulator using a graph-based SSC algorithm. All the considered faults have been successfully diagnosed. The results have demonstrated that SSC is a promising tool for fault diagnosis in NPPs.

• Journal of the Korean Society for information Management
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• v.18 no.3
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• pp.285-309
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• 2001

The industry information grows faster than any other information resources in the Internet age. Unfortunately, however, there is no consensus on the standard of the classification among the information providers of the industry fields. This may a problematic issue not only in building a continuous and systematic development of the industry information, but also in the use of the information among the users. This study aims to propose a well-structured and/or an efficient classification scheme for the industry information to help the users with easy to retrieve the Internet resources. To do this, we analyzed the subject classification scheme of the domestic industry information on the web sites, which is largely adopted the \"Korean Standard for the Industry Classification\". In addition, we suggested the principle of the subject classification and their hierarchial structure derived from the analysis of the knowledge and document classification scheme. As a result, it was suggested an optimized industry classification scheme based on the analysis of the validity test of classification item measured by the quantitative analysis of the industry information, which it currently accessible through the Internet. Internet.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.2
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• pp.101-118
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• 2016

For the effective classification of complex subjects, a library classification scheme should adopt multiple division principles (or facets). Each of the multiple principles adopted for the division of complex subjects is sequentially applied at each stage of division. The order of application of these multiple principles during the process of division of complex subjects is called citation order. In order for a classification scheme to be consistent and logical, the citation order of division principles applied to classify complex subjects should be concrete and consistent. Especially, in case of enumerative classification system, decisions on citation order to represent complex subjects significantly affect the structure and organization of the classification system. There are basic principles and theoretical canons of the classification theory on the citation order and its application, but they cannot be applied solidly in the process of classification system development for practical reasons. Therefore, this paper first reviews previous works on classification theories regarding citation order, then explores the conditions and circumstances for the application of citation order.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.1
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• pp.76-81
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• 1999

The degree of relative similarity between 2D patterns is obtained using Open-Ball Scheme. Open-Ball Scheme employs a method of transforming the geometrical information on 3D objects or 2D patterns into the features to measure the relative similarity for object(patten) recognition, with invariance on scale, rotation, and translation. The feature of an object is used to obtain the relative similarity and mapped into [0, 1] the interval of real line. For decades, Moment-Invariant Method has been used as one of the excellent methods for pattern classification and object recognition. Open-Ball Scheme uses the geometrical structure of patterns while Moment Invariant Method uses the statistical characteristics. Open-Ball Scheme is compared to Moment Invariant Method with respect to the way that it interprets two-dimensional patten classification, especially the paradigms are compared by the degree of closeness to human's intuitive understanding. Finally the effectiveness of the proposed Open-Ball Scheme is illustrated through simulations.

• Journal of the Ergonomics Society of Korea
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• v.26 no.1
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• pp.39-46
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• 2007

The purpose of this study was to develop a comprehensive posture classification scheme considering the effects of external load and motion repetition as well as those of working posture. The scheme was developed based on a series of existing empirical studies dealing with postural classification scheme, effects of external load and motion repetition. Ranges of joint motions, external load and motion repetition were divided into the groups with the same degree of discomforts. Each group was assigned a numerical relative discomfort score of code on the basis of discomfort values for the neutral position of elbow flexion. The criteria for evaluating stress of working postures were proposed based on the four distinct action categories, in order to enable practitioners to apply appropriate corrective actions. The proposed scheme was compared with OWAS, RULA and REBA. The comparison revealed that while the proposed scheme and RULA showed similar results for the working postures with light external load and non-repetitive postures, the former overestimated postural load for postures with moderate or heavy external load and repetitive postures than the latter.