• 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 KIISE:Software and Applications
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• v.37 no.5
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• pp.378-385
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• 2010

The explosive increase in the use of email has made to need email classification efficiently and accurately. Current work on the email classification method have mainly been focused on a binary classification that filters out spam-mails. This methods are based on Support Vector Machines, Bayesian classifiers, rule-based classifiers. Such supervised methods, in the sense that the user is required to manually describe the rules and keyword list that is used to recognize the relevant email. Other unsupervised method using clustering techniques for the multi-category classification is created a category labels from a set of incoming messages. In this paper, we propose a new automatic email multi-category classification method using NMF for automatic category label construction method and dynamic category hierarchy method for the reorganization of email messages in the category labels. The proposed method in this paper, a large number of emails are managed efficiently by classifying multi-category email automatically, email messages in their category are reorganized for enhancing accuracy whenever users want to classify all their email messages.

• Journal of information and communication convergence engineering
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• v.11 no.4
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• pp.268-273
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• 2013

In this paper, we propose a document classification model using Web documents as a part of the training corpus in order to resolve the imbalance of the training corpus size per category. For the purpose of retrieving the Web documents closely related to each category, the proposed document classification model calculates the matching score between word features and each category, and generates a Web search query by combining the higher-ranked word features and the category title. Then, the proposed document classification model sends each combined query to the open application programming interface of the Web search engine, and receives the snippet results retrieved from the Web search engine. Finally, the proposed document classification model adds these snippet results as Web documents to the training corpus. Experimental results show that the method that considers the balance of the training corpus size per category exhibits better performance in some categories with small training sets.

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.792-799
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• 2023

Non-reactor nuclear facilities are increasing remarkably in Korea combined with advanced technologies such as life and space engineering, and the diversification of the nuclear industry. However, the absence of a basic classification guideline related to the design of non-reactor nuclear facilities has created confusion whenever related projects are carried out. In this paper, related domestic and international technical guidelines are reviewed to present the classification criteria of non-reactor nuclear facilities in Korea. Based on these criteria, the classification of structures, systems and components (SSCs) for safety controls is presented. Using the presented classification criteria, classification of a hot cell facility, a representative non-reactor nuclear facility, was performed. As a result of the classification, the hot cell facility is classified as the hazard category 3, accordingly, the safety class was classified as non-nuclear safety, the seismic category as non-seismic (RW-IIb), and the quality class as manufacturers' standards (S).

• Journal of the Korean Institute of Navigation
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• v.24 no.4
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• pp.227-234
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• 2000

In general, neural networks are widely used for the category classification of multispectral images. Since the input multispectral images into neural networks we, however, low contrast images, neural networks converge very slowly and are of bad performance. To overcome this problem, we propose a new image enhancement method which consists of smoothing process, finding the main valley and enhancement process. In addition the enhanced images by the proposed method are used as the input of neural networks for the category classification. When the new category classification method is applied to multispectral LANDSAT TM images, we verified that the neural networks converge very lastly and that the overall category classification performance is improved.

• Journal of information and communication convergence engineering
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• v.7 no.3
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• pp.351-355
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• 2009

The amount of incoming e-mails is increasing rapidly due to the wide usage of Internet. We often group e-mails into categories for maintaining e-mail efficiently. However reading the email messages and classifying them is still tedious task. Moreover, the number of e-mails and manual classifying is increasing everyday. So, automatic e-mail classification is important techniques. In this paper, we propose a multi-way e-mail classification method that uses PCA for automatic category generation and dynamic category hierarchy for re-organizing e-mail categories. It classifies a huge amount of receiving e-mail messages automatically, efficiently, and accurately.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.2
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• pp.209-218
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• 2005

Purpose: This study was to setup the basis on hospital and national nursing manpower estimation accurately according to apply patient classification system of Song's study to China hospital system. Method: This study was surveyed to 964 patients at surgical and medical ward on Yanbian University Hospital in China from 17th to 31th January, 2005. Results: There was study results to test hypotheses for estimating optimal nursing manpower as follows. First, a trimodel classification scheme was developed which suggested three categories of patients as minimal care(category 1), moderate care(category 2), intensive care(category 3). Second, there was not significant difference with nursing time by sex. Third, there was not significant difference with nursing time by medical wards. Fourth, there was not significant difference with average nursing care time for each category of patients. Category 1 was estimated to spend average 19.59minutes for patients, Category 2 was about 35.68 minutes, Category 3 was 72.07minutes respectively. Total nursing hours was 62,610 minutes. Conclusion: Patient classification system of Song's study is validity for optimal nursing manpower of hospital in China.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.253-257
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• 2009

General technique and management technology of agriculture have development in every year to ensure the competitiveness of agriculture. Accordingly, Interested in using information systems management technology is improving. For information system, the first system of rural buildings category should be established. Classification system is set up through each specific code. and it takes advantage of the information system is to achieve the computerization of agricultural society. Therefore, in this study construction information classification system, quantity of output category, got to the standard classification system architecture, apply to agricultural buildings to review the situation and saw a problem. The result, it is the complexity and broad scope, and it is set to inappropriate setting of the Category item.

• 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.

• Journal of the Korean Society for Library and Information Science
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• v.8
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• pp.129-155
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• 1981

Four Category Classification Scheme(四部分類法), the traditional classification, is the most proper for classifying the traditional oriental marerials than some other classifications. Therefore, Four Category Classification Scheme has been valuable until now. It is obvious that this classificion aims at a rapid and accurate reference in sorting out the materials and maximun use. This paper is intended as a sludy which helps librarians to classify traditional oriental materials. It is also intended to serve librarians to have easy access to ancient literatures which have been filed among various traditional bibliographies for those who are to research oriental materials as an analysis about Miscelleneous Part(子部). The outline of this study are as follows : (1) Examining closely origins, developing process and characteristics of classification of Miscelleneous Part of Four Category Classification Scheme. (2) Explaining the content of division and section of Miscelleneous Part (子部). (3) Coordinating relations of division and section of Miscelleneous 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 belonging to each division and section of classification.