• 조형예술학연구
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• 제8권
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• pp.95-127
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• 2005

It's a matter of ontology rather than that of cognition and methodology to discuss a work of art in Gadamer's philosophy. In addition, he emphasizes the cognitive aspect of a work of art instead of comparing forms and contents of them. For that reason, he excludes aesthetic consciousness derived from Kant first and then makes away with Schiller's theory of aesthetic education. For Gadamer, the concept of truth does not mean accord or correspondence. It would rather be an encounter. This encounter is not axed on a specific time, but a continuous and historical one. Basically. a work of art guarantees this kind of an encounter. This encounter is not based on mutual agreement through an objective standard but on recognition with mutual understanding. Therefore, prejudice or tradition should be acknowledged and respected instead of being excluded. We have only to minimize difference between them through conversation. Gadamer's ontology of a work of art is based on such a ground. The function of a work of art is not only simple satisfaction of aesthetic senses but an object of interpretation, that is, a text by presenting a ground of truth through an agreement of situation. This text reveals its meaning in the situation of author-text-reader. The appearance of this meaning is nothing but the birth of truth. Symbol-allegory and classicism show how to express this kind of truth in a work of art. It is true that Gadamer's philosophical hermeneutics cannot be easily applied to interpret a concrete work of art because it just lays emphasis on the process of 'understanding' instead of a detailed analysis on an individual work. For that reason, he was criticized by some people because of this subjectivity of understanding. However, it's meaning could be changed according to the viewpoint on a work of art. There appears various structural approaches on a work of art in contemporary theory of art. Gadamer just asks the basis of such approaches instead of criticizing a specific one Therefore, a practical approach on individual work should be made separately and hermeneutics enriches the meaning of open-ending of each work of art.

• 대순사상논총
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• 제47집
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• pp.65-103
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• 2023

대순사상의 핵심 경전인 『전경』에는 선천과 후천을 상극의 시대와 상생의 시대로 구분한다. 이러한 선천과 후천 개념은 『태극도통감』에서는 역학의 도상으로 나타난다. 역학에서 선천과 후천은 송대 도서역의 주요한 개념이다. 역학의 도상에서 「복희8괘차서도」, 「복희8괘방위도」, 「복희64괘차서도」, 「복희64괘방위도」는 선천에 해당하고, 「문왕8괘차서도」, 「문왕8괘방위도」 등은 후천에 해당한다. 『태극도통감』에서는 이 역학의 도상들을 대순사상에 따라 재해석한다. 「문왕시대 팔괘도」는 역학에서 「문왕팔괘도」에 해당한다. 이 도상은 「설괘전」 제5장의 경문에 따라 그려진 도상이다. 이 도상은 곤(坤)을 중심으로 한 "지존시대(地尊時代)"에 해당한다. 역학의 「복희팔괘방위도」는 대순사상에서 「복희시대 팔괘방위도」에 해당한다. 이 도상에서 가장 큰 특징은 동서남북 정방위에서 남북 방위에 배당된 괘가 천지비괘라는 것이다. 이는 비괘(否卦)가 음양의 교류와 소통이 전혀 일어나지 않는 괘상을 의미한다. 당연히 이는 음양의 상극을 상징한다. 이를 대순사상에서는 "천존시대(天尊時代)"라고 표현한다. 『태극도통감』의 「정역시대 팔괘도」의 도상의 가장 큰 특징은 동서남북 정방위에서 남북 방위에 배당된 괘가 지천태괘(地天泰卦)이다. 이는 감리괘가 정방위에서 벗어나 있어 오행에서 상극이 해소된 도상이다. 그래서 이 도상은 "어떠한 상극의 이치도 없는(全無相克之理)" 세상이자 "인존시대(人尊時代)"를 상징한다. 『전경』의 내용에 따르면, 상제께서 선천의 상극을 바로 잡는 삼계공사를 행하시고, 이 삼계공사의 결과로 후천 세계의 상생 도가 구현된다. 상제의 삼계공사는 신명계에서 행한 일이지만, 이는 후천 세계에서는 상생의 도가 구현되는 선경으로 나타난다. 이러한 후천의 세계를 도상으로 구현한 것이 『태극도통감』의 「정역시대 팔괘도」이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권9호
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• pp.4568-4584
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• 2016

Steganography based on text generation has become a hot research topic in recent years. However, current text-generation methods which generate texts of normal style have either semantic or syntactic flaws. Note that texts of special genre, such as poem, have much simpler language model, less grammar rules, and lower demand for naturalness. Motivated by this observation, in this paper, we propose a text steganography that utilizes Markov chain model to generate Ci-poetry, a classic Chinese poem style. Since all Ci poems have fixed tone patterns, the generation process is to select proper words based on a chosen tone pattern. Markov chain model can obtain a state transfer matrix which simulates the language model of Ci-poetry by learning from a given corpus. To begin with an initial word, we can hide secret message when we use the state transfer matrix to choose a next word, and iterating until the end of the whole Ci poem. Extensive experiments are conducted and both machine and human evaluation results show that our method can generate Ci-poetry with higher naturalness than former researches and achieve competitive embedding rate.

• 한국의류산업학회지
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• 제4권4호
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• pp.339-346
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• 2002

This study analyzed the works, introduced in the collections of Yohji Yamamoto in an aim to identify traditional aesthetic and design concepts. As the data to study the concept and expression of the designer, fashion photographs were gathered in a focus on collections since 1990's. The traditional aesthetic expressed in the works of Yohji Yamamoto were characterized by the external aesthetics and the internal aesthetics. The traditional aesthetic of external aesthetics were classified into the plasticity and the wearing, and those of internal aesthetics were divided into the moderation, expertness and aesthetic exclusion. The plasticity was extracted into line, form and color. The wearing was presented artist of purpose through the mutual text. The moderation was based on the moral goodness and the aesthetical beauty. The expertness represented the fitting method and mutual reaction of color. through the natural beauty. The aesthetic exclusion was expressed through simplicity, loftiness, and unbalance.

• 한국컴퓨터정보학회논문지
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• 제5권4호
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• pp.161-165
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• 2000

기존의 금고업무는 텍스트 방식의 환경하에서 자료관리 성격의 소프트웨어들로 이루어진 패키지로 구성되어 있었다. 주로 자료는 한 장소에서만 집중적으로 관리되었다. 다양한 업무를 효과적으로 처리할 수 있고, 체계적인 섭외 활동을 지원할 수 있는 효과적인 담보물건관리가 중요한 과제가 되었다. 따라서 클라이언트/서버 환경에서 GIS를 이용하여 효과적인 고객관리와 담보물건관리를 하여 경쟁력을 확보할 수 있는 시스템을 개발하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5321-5334
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• 2019

Data mining technology is frequently used in identifying the intention of users over a variety of information contexts. Since relevant terms are mainly hidden in text data, it is necessary to extract them. Quantification is required in order to interpret user preference in association with other structured data. This paper proposes rating and comments mining to identify user priority and obtain improved ratings. Structured data (location and rating) and unstructured data (comments) are collected and priority is derived by analyzing statistics and employing TF-IDF. In addition, the improved ratings are generated by applying priority categories based on materialized ratings through Sentiment-Oriented Point-wise Mutual Information (SO-PMI)-based emotion analysis. In this paper, an experiment was carried out by collecting ratings and comments on "place" and by applying them. We confirmed that the proposed mining method is 1.2 times better than the conventional methods that do not reflect priorities and that the performance is improved to almost 2 times when the number to be predicted is small.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1999년도 가을 학술발표논문집 Vol.26 No.2 (2)
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• pp.57-59
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• 1999

본 논문에서는 최대 엔트로피 원리에 기반한 문서 분류기의 학습을 제안한다. 최대 엔트로피 기법은 자연언어 처리에서 언어 모델링(Language Modeling), 품사 태깅 (Part-of-Speech Tagging) 등에 널리 사용되는 방법중의 하나이다. 최대 엔트로피 모델의 효율성을 위해서는 자질 선정이 중요한데, 본 논문에서는 자질 집합의 선택을 위한 기준으로 chi-square test, log-likelihood ratio, information gain, mutual information 등의 방법을 이용하여 실험하고, 전체 후보 자질에 대한 실험 결과와 비교해 보았다. 데이터 집합으로는 Reuters-21578을 사용하였으며, 각 클래스에 대한 이진 분류 실험을 수행하였다.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2017년도 제29회 한글 및 한국어 정보처리 학술대회
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• pp.281-284
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• 2017

On the basis of studies that show multi-word combinations, that is the field of phraseology, this study aims to examine relationship between the quality of text and phraseological competence in L2 English writing, following Yves Bestegen et al. (2014). Using two different association scores, t-score and Mutual Information(MI), which are opposite ways of measuring phraseological competence, in terms of scoring frequency and infrequency, bigrams from L2 writers' text scored based on a reference corpus, GloWbE (Corpus of Global Web based English). On a cross-sectional approach, we propose that the quality of the essays and the mean MI score of the bigram extracted from YELC, Yonsei English Learner Corpus, correlated to each other. The negative scores of bigrams are also correlated with the quality of the essays in the way that these bigrams are absent from the reference corpus, that is mostly ungrammatical. It indicates that increase in the proportion of the negative scored bigrams debases the quality of essays. The conclusion shows the quality of the essays scored by MI and t-score on cross-sectional approach, and application to teaching method and assessment for second language writing proficiency.

• 한국어정보학회:학술대회논문집
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• 한국어정보학회 2017년도 제29회 한글및한국어정보처리학술대회
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• pp.281-284
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• 2017

On the basis of studies that show multi-word combinations, that is the field of phraseology, this study aims to examine relationship between the quality of text and phraseological competence in L2 English writing, following Yves Bestegen et al. (2014). Using two different association scores, t-score and Mutual Information(MI), which are opposite ways of measuring phraseological competence, in terms of scoring frequency and infrequency, bigrams from L2 writers' text scored based on a reference corpus, GloWbE (Corpus of Global Web based English). On a cross-sectional approach, we propose that the quality of the essays and the mean MI score of the bigram extracted from YELC, Yonsei English Learner Corpus, correlated to each other. The negative scores of bigrams are also correlated with the quality of the essays in the way that these bigrams are absent from the reference corpus, that is mostly ungrammatical. It indicates that increase in the proportion of the negative scored bigrams debases the quality of essays. The conclusion shows the quality of the essays scored by MI and t-score on cross-sectional approach, and application to teaching method and assessment for second language writing proficiency.

• 한국안전학회지
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• 제32권5호
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• pp.179-185
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• 2017

Accident analysis is an essential process to make basic data for accident prevention. Most researches depend on survey data and accident statistics to analyze accidents, but these kinds of data are not sufficient for systematic and detailed analysis. We, in this paper, propose an accident classification model that extracts task type, original cause materials, accident type, and the number of deaths from accident reports. The classification model is a support vector machine (SVM) with word occurrence features, and these features are selected based on mutual information. Experiment shows that the proposed model can extract task type, original cause materials, accident type, and the number of deaths with almost 100% accuracy. We also develop an accident ontology to express the information extracted by the classification model. Finally, we illustrate how the proposed classification model and ontology effectively works for the accident analysis. The classification model and ontology are expected to effectively analyze various accidents.