• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2017.11a
• /
• pp.30-31
• /
• 2017

본 연구는 내항상선에 승선하는 외국인 선원을 대상으로 한 표준 해사한국어 교육과정의 설계를 위한 기초 연구이다. 현재 국내선원의 부족으로 외국인 선원이 증가함에 따라 의사소통 문제를 둘러싼 여러 논의가 진행 중이다. 본 연구의 최종 목표는 혼승 선박에서의 보다 원활한 의사소통을 위해 일상 업무의 수행에 필요한 주요 대화를 선정하여 이것을 외국인 선원을 위한 표준 해사한국어 교육과정에 반영하고자 하는 것이다. 이를 위해 여기에서는 문헌 연구와 설문 조사를 실시하여 부원의 일상 업무를 목록화하고 이들 업무의 중요도와 빈도를 조사하였다. 먼저 각국 대학에서 사용 중인 해사영어 교재와 내항상선의 외국인 선원을 교육하기 위한 교육 자료를 살펴봄으로써 1차적으로 공통되는 업무를 추출하였다. 다음으로 승선 유경험자로 구성된 전문가 위원회의 자문을 통해 업무의 범주를 설정하고 세부 업무 내용을 선정하였다. 마지막으로 설문조사를 실시하여 이들 업무의 중요도와 빈도를 조사하였다. 본 연구의 결과를 바탕으로 추후 연구에서 주요 대화를 선정하기로 한다.

• Journal of the Korean Society for information Management
• /
• v.36 no.4
• /
• pp.279-300
• /
• 2019

This study aims to analyze and to demonstrate the research trends and intellectual structure in the field of catalog in the 2000s and 2010s through co-word analysis. The field of catalog had firmly established its own research area and Many differences were found in research trends and intellectual structures in the 2000s and 2010s. First, the average number of articles decreased by 4.2 in the 2010s compared to the 2000s, but the number of author keywords was not significantly different. Only 22.2% of keywords appeared more than three times in both periods, and 77.8% of keywords appeared more than three times in one period. Second, in terms of intellectual structure, the 2000s, represented by three-level clusters, formed a more complex network than the 2010s, represented by two-level clusters. Third, as a result of examining the changes in the characteristics of each cluster, there were some research topics with few changes, but many research topics were more actively progressed or subdivided, and decreased. The results of this study are meaningful in that they can visually grasp the intellectual structure along with the trend of the age of catalogue, and can prepare for related education and research by predicting the future.

• Journal of KIISE:Software and Applications
• /
• v.33 no.8
• /
• pp.718-729
• /
• 2006

There has been increasing interest in automatic term recognition (ATR), which recognizes technical terms for given domain specific texts. ATR is composed of 'term extraction', which extracts candidates of technical terms and 'term selection' which decides whether terms in a term list derived from 'term extraction' are technical terms or not. 'term selection' is a process to rank a term list depending on features of technical term and to find the boundary between technical term and general term. The previous works just use statistical features of terms for 'term selection'. However, there are limitations on effectively selecting technical terms among a term list using the statistical feature. The objective of this paper is to find effective features for 'term selection' by considering various aspects of technical terms. In order to solve the ranking problem, we derive various features of technical terms and combine the features using machine-learning algorithms. For solving the boundary finding problem, we define it as a binary classification problem which classifies a term in a term list into technical term and general term. Experiments show that our method records 78-86% precision and 87%-90% recall in boundary finding, and 89%-92% 11-point precision in ranking. Moreover, our method shows higher performance than the previous work's about 26% in maximum.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2000.11a
• /
• pp.167-169
• /
• 2000

최근의 대기확산 모델링은 도시규모 뿐만 아니라 동북아지역의 대기오염물질 장거리이동 현상을 다루는 빈도가 매우 높아졌다. 모델링을 위해서는 기상자료와 배출량자료를 준비하는 것이 매우 중요한 과정이다. 본 연구에서는 우리나라 주도로 수행중인 '동북아 장거리이동 대기오염물질 공동 조사사업(LTP project)'과 관련하여 모델링분야의 공동 수행과제인 SO$_2$ 및 NOx 배출량 산정에 관한 것을 소개하였다. UNDP가 제안한 배출원 목록 수립방법을 이용하여 1998년에 대한 1$^{\circ}$$\times$ 1$^{\circ}$ 간격의 격자형 자료가 산정되었으며, 향후 LTP project의 모델링분야에서 활용될 예정이다. (중략)

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2005.04a
• /
• pp.415-418
• /
• 2005

가정용 흑은 업소용 노래 반주 시스템에서 곡명을 선택하는 데에는 목록 책자를 찾거나 키보드를 이용하여 DB를 검색하는 방법이 일반적이다. 이 방법들은 책을 찾거나 키보드로 입력하는 불편함과 함께 곡명의 첫 글자부터 알고 있지 않으면 찾을 수 없는 문제점이 있다. 본 논문에서는 음성인식기술과 정보검색기술을 결합하여 이러한 문제점들을 동시에 보완하는 기술을 제안하고, 가정용 노래방 기기와 연동하여 기존 검색 방식을 대체하는 음성인식 노래반주시스템을 구성한다. 제안하는 시스템은 노래 곡명에 나오는 최다 빈도 단어를 이용하여 키보드 입력 없이 음성 인식으로 간단하게 원하는 곡명을 찾도록 한다. 또한, 인터넷 인기순위에 기반하여 곡명을 색인함으로써 검색 만족도를 향상시킨다.

• The Journal of the Korea Contents Association
• /
• v.20 no.10
• /
• pp.679-687
• /
• 2020

The present study aims to investigate lexical coverage of BNC (British National Corpus) word lists and 2015 Basic Vocabulary of Ministry of Education in 2020 EBS-linked textbooks and CSAT. For the data analysis, AntWordProfiler was used to find lexical coverage and frequency. The findings showed that Students can understand 95% of the tokens with a vocabulary of BNC 3,000 and 4,000 word-families in 2020 EBS-linked listening and reading books respectively. 98% can be understood with 4,000 word-families in the EBS-linked listening book while the same lexical coverage can be covered with 8,000 word-families in the EBS-linked reading textbook. By the way, 95% of the tokens can be understood with 2,000 and 4,000 word-families in 2020 CSAT listening and reading tests respectively, while 98% requires 4,000 and 7,000 word-families in the 2020 listening and reading tests respectively. In summary, students should understand more words in 2020 EBS-linked textbooks than in 2020 CSAT tests confirming Kim's (2016) findings. In summary, students should understand more words in 2020 EBS-linked textbooks than in 2020 CSAT tests.

• The Journal of the Korea Contents Association
• /
• v.17 no.1
• /
• pp.475-484
• /
• 2017

The aim of this research is the development and evaluation of a technical vocabulary list for early childhood education. The list was compiled from a corpus of 500,000 running words of written academic texts from 7 books about early childhood education. The distribution of GSL[1] and AWL[2] was 81.86% and 9.78% respectively, which meant that academic texts related to early childhood education is very similar with ones on other disciplines. The technical vocabulary list for early childhood education (TV4ECE), extracted in terms of frequency and range, contains 224 types. This word list can be used to teach early childhood education in English, especially for the preparation of reading the English texts in the field of early childhood education.

• Journal of the Korean Society for information Management
• /
• v.36 no.2
• /
• pp.255-273
• /
• 2019

Recently, the table of contents (TOC) has been becoming increasingly accessible and utilized. The study conducted descriptive statistics and comparative analysis of the table of contents in terms of parts of speech and subject in text. For this purpose, this study chose the books of the social sciences field from acquisition lists of an academic library, obtained Dewey class numbers of target books from KERIS union catalog, and extracted TOC data from online bookstore. Morphological analysis was performed on each book titles and TOCs, and descriptive statistics and frequency analysis were carried out. As a result, nouns made up roughly half of the morphemes of titles or the TOCs. TOCs had about 50 times more nouns than titles. The percentage of unique nouns that appeared only in the table of contents is estimated to be 95.2% of the TOC's total nouns. The table of contents also showed a differences in its lengths depending on the field of social science.

• Korean Journal of Culture and Social Issue
• /
• v.19 no.3
• /
• pp.457-485
• /
• 2013

This study attempted to discover the dimensions of Korean culture, with the presumption that the cross-cultural studies(Hofstede, 1980, 1997; Schwartz, 1992, 1994; Trompenaars and Hampden-Turner, 1997; House et al., 2004) have limitation to explain non-western culture including Korean culture. Even though there are some Korean cultural studies, they used heuristic approaches applying the authors' experiences and intuitions. This study applied the Cultural Consensus Theory to overcome the previous studies' shortcomings and to discover the dimensions that can be empirically proved by data. In specific this study conducted in-depth interview, used content analysis, did frequency analysis, and applied pilesort technique, multidimensional scaling and network analysis. As a result, this study obtained five categories: public self-consciousness, group-focused orientation, affective human relations, hierarchical culture, and result-orientation. It is expected that these dimensions can be used as important variables that may explain Korean social phenomena.

• Korean Journal of Food Science and Technology
• /
• v.43 no.6
• /
• pp.773-782
• /
• 2011

A food list representing the typical diet of Koreans was developed for a total diet study based on the 687 food items which appeared in the dietary intake data collected during the 2008 & 2009 Korea National Health & Nutrition Examination Survey. Food items included in 90% of the cumulative intake, items with a consumption frequency of 5% or higher and items contributing to 80% of cumulative fat intake were considered first. From the resulting 165 food items, 15 items were removed to avoid similar foods, while 10 distinct items were added to increase the efficiency of 'best-fit' mapping. Consequently, 160 items were selected as representative foods, which cover 90.93% of intake amount, 91.36% of energy intake and 89.05% of fat intake. Given that every food consumed by Koreans can't be analyzed for contaminants of interest, mapping other foods to the previously mentioned representative 160 foods is warranted because it enables a more comprehensive dietary exposure assessment that is close to reality.