• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.2
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• pp.356-364
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• 2004

The preference and frequency of use on instant foods were investigated for university students studying tourism science. The most preferred instant food group was noodles, and Tangs, Baps, Gooks, Zooks, one-dishfoods were preferred in order. The most preferred instant food was Cupramyeon. The preference score on instant foods of Tangs, Gooks and One dish foods for male students significantly was higher than that of female students. Also, students majoring non-cooking like instant food more than those majoring culinary science (p<0.05). The highest frequency of use was shown in group of Baps and noodles, followed by one-dish food, Gooks, Tangs, Zooks in order. The largest number of students answered 'TV' and 'curiosity' to the question on the motives of use. The most students Purchased instant foods at 'convenience store' and 'small retail store'.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.317-320
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• 2017

개체명 인식은 자연어 문장에서 장소, 제작물, 사람 등 분류를 통한 의미 부여가 가능한 단어를 파악하는 기술로서 의미 분석을 위한 핵심 기술이다. 현재 많은 개체명 분석 관련 연구들은 형태소 분석 결과에 의존적인 형태를 갖고 있어서, 형태소 분석 결과의 정확성이 개체명 분석 결과의 성능에 영향을 미치고 있다. 본 연구에서는 형태소 분석 과정을 거치지 않는 음절 기반의 개체명 분석 기술을 제안하여 형태소 분석의 정확도가 낮은 통신어, 신조어 분석 성능을 향상하였다. 또한, 자동화된 방법으로 음절 단위 개체명 말뭉치 및 개체명 사전을 구축하는 프로세스를 정의하여 개체명 분석의 정확도 향상 및 인지 범주의 확대를 도모하였다. 본 연구에서 제안한 개체명 인식 기술은 한국어 개체명 표준에 기반한 129가지의 개체명 분류가 가능하며, 이는 자연어 처리 기술이 필요한 산업계에서 상용화하는데 큰 기여를 할 것으로 판단된다.

• Journal of Korean Library and Information Science Society
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• v.34 no.4
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• pp.203-226
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• 2003

The purpose of this study aims to provide possible suggestions for the improvement of the korean Decimal Classification System in 21th century through the analysis of language field as the subject of study. As a result of this study, some problems(for example, irrational classification number system, very simplicity of $\ulcorner$Subdivisions of Individual languages md languages families$\lrcorner$, improper languages development insufficiency of note etc.) were found out. This study can be useful for the future revision of KDC4 because a revolutionary improvement were provided.

• Smart Media Journal
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• v.7 no.4
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• pp.24-29
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• 2018

Text analysis technique for natural language processing in deep learning represents words in vector form through word embedding. In this paper, we propose a method of constructing a document vector and classifying it into spam and normal text message, using word embedding and deep learning method. Automatic spacing applied in the preprocessing process ensures that words with similar context are adjacently represented in vector space. Additionally, the intentional word formation errors with non-alphabetic or extraordinary characters are designed to avoid being blocked by spam message filter. Two embedding algorithms, CBOW and skip grams, are used to produce the sentence vector and the performance and the accuracy of deep learning based spam filter model are measured by comparing to those of SVM Light.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.15-37
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• 2013

The purpose of this study is to develop a faceted classification that enables the conceptualization and the organization of Korean food information. 23,470 terms were collected, categorized, and analyzed from the table of contents in 776 monographs and directory headings in portal sites related to Korean food. In order to develop the Korean food classification, common properties were analyzed in the process of categorizing terms. Then basic facets and subfacets were defined and assigned, and hierarchies among facets and concepts, citation orders, and notations were decided. As a result, the classification scheme consisted of 16 basic facets and 85 subfacets. The citation order of facets was proposed in order of Personality facet (kinds of dishes), Matter facet (materials, cooking utensils/equipment/containers, and nutrients), Energy facet (cooking processes and techniques, eating sense, type of cooking, table services, and agents of cooking), Space facet (countries/ethnic groups/geography, and eating places), Time facet (situation/purposes, season, time of meals, periods, and ages). The result of this study will be used for organizing, searching, retrieving, and providing Korean food information effectively around the world. Also, it will provide a foundation for developing subject-oriented classification using facet analysis in other disciplines.

• Archives of design research
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• v.16 no.3
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• pp.51-58
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• 2003

The first impression of people plays a crucial role in deciding personal image. Except for the eyes, the V zone of a suit attracts people's attention most. Therefore, a necktie has an instant and strong influence in delivering the image of a man. This research divided images of men into several factors based on necktie that plays an important role in expressing men's images. Futhermore, this research inquired into characteristics of necktie designs that can express men's images. And this research presented visually through surveys. As a result, men's images were divided into six factors of uniqueness, sociality, generosity, notability, activeness & vitality and reliability with two axes of attractiveness and capability. Afterwards, the characteristic of necktie designs suitable for each image was presented. Furthermore, the characteristic of necktie designs suitable for jobs classification was presented by relating each image to six job classifications. Applying these facts into necktie sales, consumers will be able to choose their neckties that can express proper images according to their tastes, situations and jobs. Furthermore, consumers will be able to establish better image for themselves.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.93-99
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• 2006

Ontology is an indispensable component in intelligent and semantic processing of knowledge and information, such as in semantic web. Ontology is considered to be constructed generally on the basis of taxonomy of human concepts about the world. However. as human concepts are unstructured and obscure, ontology construction based on the taxonomy of human concepts cannot be realized systematically furthermore automatically. So, we try to do this from the relation among linguistic symbols regarded representing human concepts, in short, words. We show the similarity between taxonomy of human concepts and relation among words. And we propose a methodology to construct and generate automatically ontologies from these relations mon words and a series of algorithm to convert these relations into ontologies. This paper presents the process and concrete application of this methodology.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.782-784
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• 2012

문화지도는 문화와 관련된 다양한 양상들을 점, 선, 기호 등으로 표현하여 지도에 나타낸 것이며, 전자문화지도는 이 지도를 효율성과 편리성을 위하여 컴퓨터를 이용하여 디지털 파일이나 데이터베이스화 시킨 것이다. 이러한 문화지도를 활용하면 해외지역 연구 결과를 시각적으로 표현할 수 있어서, 연구 결과를 보다 이해하기 쉽게 되고 새로운 연구에 대한 기초 자료로 활용이 가능하다. 본 논문에서는 해외지역 문화, 특히 지중해지역을 위한 전자문화 지도의 접목에 대하여 연구한다. 세부적으로 문화양식, 문화유산, 문화생활과 같은 다양한 문화 양상을 식별하기 위한 문화 분류, 문화지도 구성을 제시한다.

• The Magazine of the IEIE
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• v.21 no.10
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• pp.47-54
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• 1994

본 논문에서는 물체들의 이동(translation) 축적(scale) 그리고 회전방향(orientation)에 무관하게 물체를 인식하는 실용적인 패턴 인식 시스템을 소개한다. 이 시스템은 2진영상으로 변환하는데 필요한 임계치(threshold)의 큰 변화에도 덜 민감하다. 특징 벡터(feature vector)로 서는 Zernike 모멘트를 사용하였는데 지금까지 잘 알려진 Hu가 제안한 7개의 모멘트 불변수 (moment invariants)와 비교한다. 또한, 실용적인 기계 시각(machine vision) 시스템에 대해 세 가지 중요한 문제로서 패턴 정규화(pattern nomalization), Zernike 모멘트의 신속한 계산, 그리고 k-NN 규칙을 이용한 분류 등을 논의하였다. 실험에서는 임의의 회전 방향에서 문자들의 크기가 10x10 화소(pixel)에서 512x512 화소까지 변하는 서로 다른 크기를 가진 인쇄된 62개의 문자와 숫자 그리고 기호들을 서로 다른 임계치에서 인식하는 것을 보여준다.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.3
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• pp.57-77
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• 2003

The objective of the study is to develop the identification code of the Korean sci-tech journals for KSCI. To achieve the purpose, the study has researched and analyzed a variety of the major international and national serials or information objects identification code systems. And then, KOJIC(KOrean Journal Identification Code) has been developed. KOJIC is unique, unambiguous identifiers for titles of Korean journals in all subject areas. The concepts of KOJIC are simplicity, mnemonics, internationalization, and extensibility of its use. KOJIC is a six-character and alphanumeric code and has one check character.