• KIPS Transactions on Software and Data Engineering
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• v.5 no.1
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• pp.21-28
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• 2016

The performance of an English-Korean machine translation system depends heavily on its English parser. The parser in this paper is a part of the rule-based English-Korean MT system, which includes many syntactic rules and performs the chart-based parsing. The parser generates too many structures due to many syntactic rules, so much time and memory are required. The rule-based parser has difficulty in analyzing and translating the long sentences including the commas because they cause high parsing complexity. In this paper, we propose the 3-phase parsing method with sentence segmentation to efficiently translate the long sentences appearing in usual. Each phase of the syntactic analysis applies its own independent syntactic rules in order to reduce parsing complexity. For the purpose, we classify the syntactic rules into 3 classes and design the 3-phase parsing algorithm. Especially, the syntactic rules in the 3rd class are for the sentence structures composed with commas. We present the automatic rule acquisition method for 3rd class rules from the syntactic analysis of the corpus, with which we aim to continuously improve the coverage of the parsing. The experimental results shows that the proposed 3-phase parsing method is superior to the prior parsing method using only intra-sentence segmentation in terms of the parsing speed/memory efficiency with keeping the translation quality.

• Korean Journal of Human Ecology
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• v.20 no.1
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• pp.1-19
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• 2011

The purpose of this study was to investigate the interactions of ego-resilience and social supports in the school adjustment in children. The subjects of this study were 479 children drawn from the fourth and sixth grades of three elementary schools in Cheongju city. The pilot study was done to examine the applicability of survey instruments. Data was analyzed by frequency, percentage, Cronbach's t-test, ANOVA with Tukey post-hoc test, correlation, and hierarchial analysis using the SPSSWIN program. The results of this research were as follows: First, the results showed that the effects of the interaction of ego-resilience and social supports on school adjustment were different according to the children's gender and age. Second, teacher supports had influence on school life satisfaction, interest in the subject, attitude in class, and observance of school rules according to the children's gender and age. Finally, overall, the influence of school life satisfaction, interest in subjects, attitude in class, and observance of school rules was greater for girls than boys.

• The Transactions of the Korea Information Processing Society
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• v.5 no.1
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• pp.103-110
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• 1998

In case of traditional Rule-Based Reasoning(RBR) and Case-Based Reasoning(CBR), although knowledge is reasoned either by one of them or by the integration of RBR and CBR, there is a problem that much time should be consumed by numerous rules and cases. In order to improve this time-consuming problem, in this paper, a new type of reasoning technique, which is a kind of integration of reduced RB and CB, is to be introduced. Such a new type of reasoning uses Rough Set, by which we can represent multi-meaning and/or random knowledge easily. In Rough Set, solution is to be obtained by its own complementary rules, using the process of RB and CB into equivalence class by the classification and approximation of Rough Set. and then using reduced RB and CB through the integrated reasoning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.614-621
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• 2006

We have implemented a multiclassifier learning approach in a GA-based inductive learning environment that learns classification rules that are similar to rules used in PROSPECTOR. In the multiclassifier learning approach, a classification system is constructed with several classifiers that are obtained by running a GA-based learning system several times to improve the overall performance of a classification system. To implement the multiclassifier learning approach, we need a decision-making scheme that can draw a decision using multiple classifiers. In this paper, we introduce two decision-making schemes: one is based on combining posterior odds given by classifiers to each class and the other one is a voting scheme based on ranking assigned to each class by classifiers. We also present empirical results that evaluate the effect of the multiclassifier learning approach on the GA-based inductive teaming environment.

• Journal of the Korean School Mathematics Society
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• v.2 no.1
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• pp.167-179
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• 1999

The aim of this study is to improve the basic learning ability of those who make poor progress in mathematics and to keep positive and active learning attitudes in class afterward by using problems whith both make them advance their basic learning ability and supplement lack of previous learning in class or after school. supplementary problems were developed by focusing the ability of basic calculation, the comprehension of concepts, principles, and rules by analyzing necessary contents precisely each domain after itemizing learning contents each unit. the results of the study are this: 1) The students who solved the problems, that were developed to improve the basic learning ability and to supplement the earlier learning during their classes or giving homework, made significant progress in their scholastic achievement; more than those who were not involved. 2) Meaningful changes were demonstrated in the motivation for achievement among the domains of learning attitudes before and after the experiment but, not in their interest, the consciousness of purpose, attention, voluntary and efficient learning as shown in their learning habits. In this study, therefore, the problems which were developed to improve the basic learning ability and to supplement the earlier learning by focusing on the competence for basic calculation, and the comprehension of concepts, principles and rules were effective positively only in the area of motivation for achievement. there were no meaningful differences in the other domains.

• Journal of KIISE:Software and Applications
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• v.32 no.6
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• pp.486-501
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• 2005

XPDL is a XML-based language for process definition exchange that is proposed by WfMC. This paper propose a model which model XPDL document structure (Schema) using UML in order to define and to exchange workflow process, and make business flow understanding ease for inter-business cooperation. So, we define mapping rules in which map XPDL documents into UML class diagram and UML activity diagram. By these mapping rules, elements composing XPDL process meta-model are mapped into UML class diagram, and process activities are mapped into UML activity diagram. Also, we apply proposed mapping technique to model a workflow of (')Credit card state check system.(')

• The Transactions of the Korea Information Processing Society
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• v.7 no.1
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• pp.29-40
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• 2000

With increasing amounts of information on the web and needs to access accurately them, it is very important to standardize metadata and to store and manage system. The RDF(Rdsource Description Framework) is a framework for representing exchanging, and reusing metadata. And, it can be processing uniformly the standardized metadata, because it uses XML(eXtensible Markup Language) syntax. The RDF schema provides a basic type system for use RDF models. In this paper, we propose rules and an algorithm to convert the RDF schema into an UML(Unified Modeling Language) class diagram and formal models to represent an object-oriented schema for the RDF schema. The proposed rules and algorithm are useful for natural mapping and the object modeling of RDF schema can be easily converted into the object-oriented schema, and the formal models supports an efficient environment for retrieving and processing object-oriented documents.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.1-10
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• 2022

This study aims to build a model is capable of classifying the categories of hadith, according to the reliability of hadith' narrators (sahih, hassan, da'if, maudu) and according to what was attributed to the Prophet Muhammad (saying, doing, describing, reporting ) using the supervised learning algorithms, with a view to discover a relationship between these classifications, based on the outputs of this model, which might be useful to avoid the controversy and useless debate on automatic classifications of hadith, using some of the statistical methods such as chi-square, information gain and association rules. The experimental results showed that there is a relation between these classifications, most of Sahih hadiths are belong to saying class, and most of maudu hadiths are belong to reporting class. Also the best classifier had given high accuracy was MultinomialNB, it achieved higher accuracy reached up to 0.9708 %, for his ability to process high dimensional problems and identifying the most important features that are relevant to target data in training stage. Followed by LinearSVC classifier, reached up to 0.9655, and finally, KNeighborsClassifier reached up to 0.9644.

• Journal of the Korean Society of School Health
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• v.19 no.2
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• pp.105-115
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• 2006

Purpose：This thesis was performed to evaluate the effect of the experience safety education on the safety behavior and standard of habit to the middle school students of one islands. Methods：The participants of this study included 43, located in the adjoining region in S county. While one of the class, composed of 19 students was designated as an experimental group, and the other class, composed of 24 students, was compared as a control group. Used program in this study was safety education program, 'Safe School, Safe Life' which was developed by Korea Occupational Safety & Health Agency. This program has emphasis on the virtual case rather than lecture style education. Results：The findings in this research were as follows. Indoor safety behavior was significant difference between the two groups. On the other hand, the effect on outdoor safety behavior was not difference. In playground case, active strength was needed without continuous attention. The effect of the experience safety behavior education was not shown in the area of traffic rules, pedestrian safety, and vehicle safety. But home safety behavior was effective. Education program on the manners of standard life habit gives positive results. But in the area of rules, this program was not effective, since students had tendency to emphasize the rigid scale rather than manners. Conclusion：These findings in the study give us the necessity of experience safety education program to prepare various situations of everyday life and to reinforce safety behavior and improve standard life habit.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.492-497
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• 2005

It has not been studied about modeling methods for SVG documents to represent animation in the web that has been recently increased in interest. In this paper, I propose component modeling for SVG documents by CBD methodology. First, I propose conceptual modeling by UML class diagrams for converting SVG document into component diagram. And then, I propose rules to convert the UML class diagram into component diagram. Thus, main contribution of this paper is that it can generate a component diagram for a SVG document using Component-Based Development methodology.