• Journal of Korean Home Economics Education Association
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• v.28 no.2
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• pp.61-78
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• 2016

The purpose of this study was to examine the differences in terminologies used in child and family domains of family life education in South and North Korea. The terminologies relevant to child and family domains in North Korea were selected from various sources including dictionaries that are developed to compare South-North Korean languages, reports and websites by ministry of unification in South Korea, magazines and news articles about North Korean daily life. The collected terminologies were analyzed using the content criteria on core concepts, 'development' and 'relations' from the 2015 proclamation of the ministry of education on home economics curriculum. The major differences between the two Koreas were as follows: first, the terms categorized under human development were more divergent compared to the terms categorized under family relations. Specifically, there were big differences in terminologies in the love and marriage section, the life and labor in pregnancy section in human development and the child caring section in family relations. Second, dissimilar terms were more frequently appeared in content area of kinship, marriage, and child-rearing. Third, the discrepancies of terms between the two Koreas were brought about primarily by differences in political and social system, language refinement, and transcription techniques. These findings including the terminology list would be a practical resources providing for students to familiarize with the differences in the usage of terms and for teachers to develop a home economics educational program in provision of reunification of the Koreas.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.141-148
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• 2020

Automatic term extraction is to recognize domain-specific terms given a collection of domain-specific text. Previous term extraction methods operate effectively in unsupervised manners which include extracting candidate terms, and assigning importance scores to candidate terms. Regarding the calculation of term importance scores, the study focuses on utilizing sets of inner and outer terms of a candidate term. For a candidate term, its inner terms are shorter terms which belong to the candidate term as components, and its outer terms are longer terms which include the candidate term as their component. This work presents various functions that compute, for a candidate term, term strength from either set of its inner or outer terms. In addition, a scoring method of a term importance is devised based on C-value score and the term strength values obtained from the sets of inner and outer terms. Experimental evaluations using GENIA and ACL RD-TEC 2.0 datasets compare and analyze the effectiveness of the proposed term extraction methods for English. The proposed method performed better than the baseline method by up to 1% and 3% respectively for GENIA and ACL datasets.

• Management & Information Systems Review
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• v.37 no.4
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• pp.41-62
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• 2018

As the volume of unstructured data increases through various social media, Internet news articles, and blogs, the importance of text analysis and the studies are increasing. Since text analysis is mostly performed on a specific domain or topic, the importance of constructing and applying a domain-specific dictionary has been increased. The quality of dictionary has a direct impact on the results of the unstructured data analysis and it is much more important since it present a perspective of analysis. In the literature, most studies on text analysis has emphasized the importance of dictionaries to acquire clean and high quality results. However, unfortunately, a rigorous verification of the effects of dictionaries has not been studied, even if it is already known as the most essential factor of text analysis. In this paper, we generate three dictionaries in various ways from 39,800 news articles and analyze and verify the effect each dictionary on the accuracy of document classification by defining the concept of Intrinsic Rate. 1) A batch construction method which is building a dictionary based on the frequency of terms in the entire documents 2) A method of extracting the terms by category and integrating the terms 3) A method of extracting the features according to each category and integrating them. We compared accuracy of three artificial neural network-based document classifiers to evaluate the quality of dictionaries. As a result of the experiment, the accuracy tend to increase when the "Intrinsic Rate" is high and we found the possibility to improve accuracy of document classification by increasing the intrinsic rate of the dictionary.

• Journal of Elementary Mathematics Education in Korea
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• v.24 no.2
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• pp.231-257
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• 2020

As the main mathematical concepts are presented and expressed in various ways through textbooks during the teaching and learning process, it is necessary to look at the representations used in elementary math textbooks to find effective guidance. This study analyzed sentences used in the definition of mathematical terms and unit assessments of current elementary mathematics textbooks according to word depth (Yngve, 1960) from a syntactic perspective. As a result of the analysis, it could be seen that the sentences in textbook were generally concise, the word depth was lower, and the sentence structure and form were different depending on the individual characteristics of each term. Also, the sentences in the lower grade textbooks were more easily constructed, and the sentences of the term definition were more complex than the sentences of the unit assessments. Efforts should be made to help learners learn mathematical concepts, such as clarifying sentences in textbooks, presenting visual materials together, and providing additional explanations to suit the level of individual learners.

• Journal of Food Hygiene and Safety
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• v.27 no.3
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• pp.203-208
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• 2012

In the present study, we collected the information of the 18 major food safety incidents and conducted a delphi survey with 10 experts to analyze the effect of difference between terms used in reporting of the major food safety incidents on risk communication. In the result of the analysis of information from the major food safety incidents, discord of terms used from government, local government, media and consumer groups had a tremendous effect on the socioeconomic losses and caused the expansion of the incidents. The survey with 10 experts showed that there was a high correlation between the difference in ripple effect of reporting terms and the difference in reporting terms. A correlation coefficient was 0.865. Therefore, ripple effect of incidents was significantly affected by reporting terms and we concluded that standardization of term is necessary in reporting of the food safety incidents. These results can be used as a basic material for successful risk communication among the government, enterprises and consumers.

• Journal of Family Resource Management and Policy Review
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• v.20 no.2
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• pp.119-140
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• 2016

This study objectively analyzes the understanding of changes in North Koreans' home lives and the differences between the home life cultures of South and North Korea. A comparative analysis was conducted of terms related to consumer and family resource management to determine language differences and create a mutual understanding of social convergence unification. First, the analysis revealed that the North Korean language is not developed in certain areas, such as consumer welfare or consumer patterns related to resolving issues or complaints connected to consumptive lifestyles. In financial management, there were terms that referred to the collapsed North Korean economic conditions after the fall of the Soviet Union in 1991 and the North Korean famine. Second, terms reflecting North Korea's social, political, and economic structures were discovered, and it was found that South and North Korean languages differed from each other with regard to terms about kinship, sports, and art.

• Journal of Korean Library and Information Science Society
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• v.39 no.2
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• pp.249-266
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• 2008

This study investigated general problems concerning the subject Chemical Engineering in the KDC(Korean Decimal Classification) 4th edition based on the comparative analysis with DDC, NDC, and Disciplinary Classification System of Korean Research Foundation, and suggested on some ideas for the improvements of them. The subject of chemical Engineering in the KDC 4th edition had to be improved to use current terminology, to choose appropriate headings, and to subdivide the subjects more to introduce new topics.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.703-706
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• 2007

보다 효과적인 색인어 추출 및 색인어 가중치 결정을 위하여 문서의 내용뿐 아니라 구조를 이용하여 색인을 추출하는 연구가 이루어지고 있는데, 대부분의 연구들이 XML 태그의 중요도가 아닌, 문맥상의 단락에 대한 중요도를 계산하는게 일반적이다. 이러한 기존 연구들은 대부분이 객관적인 실험을 통해서 중요도를 입증하기보다는 상식적인 관점에서 단순한 수치로 중요도를 결정하고 있다. 본 논문에서는 웹 문서 관리를 위한 표준으로 자리잡아가고 있는 XML 문서의 태그 정보를 이용한 자동색인을 위하여, 논문을 구성하는 주요 태그를 중요도에 따라 분류하고, 낮은 태그에서 추출된 용어 가중치를 계산하고, 그 가중치로 높은 가중치의 태그에서 추출된 용어의 가중치를 갱신해 가면서 최종 가중치를 계산하는 방법을 제안한다. 보다 객관적인 가중치 결정을 위하여 사용자가 중요하게 생각하는 태그를 실험해 보고 그에 따라 중요도를 분류하여 가중치 계산에 반영한다. 그리고 기존 태그 중요도 결정 방법을 적용하여 계산된 색인어 가중치를 이용한 검색성능과 비교함으로써 본 논문에서 제안한 방법을 적용하여 계산된 색인어 가중치의 효과를 검증한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.401-424
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• 1997

본 연구는 우선 QS 9000의 배경, 구조 및 인증에 따른 혜택과 적용 사례를 알아보고 ISO 9000과 적용, 내용, 문체, 접근법, 평가과정, 용어 및 요건 면에서 구조적 차이를 비교·분석 ·요약하며, 또한 TE supplement 및 APQP/CP의 역할에 관해 조사한다. 끝으로 QS 9000의 주요 도구인 QFD, SPC, 공정능력 지수, MSA 등의 개선기법과 적용방법 등을 소개한다.

• Journal of Biosystems Engineering
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• v.22 no.3
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• pp.371-378
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• 1997

과학기술의 패러다임은 생명체가 진화하듯 변신한다. 지난 시간을 돌이켜보아 오늘의 모습과 비교해 보면 변화의 폭을 실감할 수 있다. Samuel C. Prescott 박사(Singh, 1997)에 의해 표현된 식품공학(food engineering)이란 용어가 소개된 시기는 1939년경이었다. 초기 식품공학은 농공학에서 농산물의 수확후 작업과 관련하여 식품제조와 식품가공장치에 관한 내용이 주로 다루어졌으며, 이 시기의 특징을 보여주는 대표적인 저서의 예가 Milton E. Parker가 1952년에 저술한 "Elements of Food Engineering"이다. 1950년대와 1960년대에는 화공학의 단위 조작이 도입되어 현재까지 식품공학의 주요 기법으로사용되고 있는바, 건조, 살균, 냉동, 압출 둥의 공정에서 현저한 성과를 보였다(Karel, 1997).(중략)