• The Research Journal of the Costume Culture
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• v.1 no.1
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• pp.69-80
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• 1993

This research studied the classification and meanings of symbols on the clothes of he Koran catholic priest. The results are as follows. 1) Symbol of religios spirits and values. - There are many spirits of crist which require to keep and meanings of innocence. 2) Symbol of status - served to symbolize the conscious change from earthy to ordaned man. 3) Symbol of role - differentiate between the role of priest and aid-priest. 4) Symbol of position(or rank) - indicate the position of priests in catholic church. 5) Symbol of situation. 6) Symbol of ritual ceremony - characterized the ritual ceremony.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.11
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• pp.1406-1409
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• 2016

In this paper, we propose the heuristic signal grouping algorithm to estimate channel state value over full blind communication situation which means that there is no information about the modulation scheme and the channel state information between the transmitter and the receiver. Hereafter, using the constellation rotation method and the probability density function(pdf) the modulation scheme is determined to perform automatic modulation classification(AMC). Furthermore, the modulation type and a channel state value estimation capability is evaluated by comparing the proposed scheme with other conventional techniques from the simulation results in terms of the symbol error rate(SER) and the root mean square error (RMSE).

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.3
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• pp.176-185
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• 1996

Transformin the huge size of drawings into a suitable format for CAD system and recognizng the contents of drawings are the major concerans in the automated analysis of engineering drawings. This paper proposes some methods for text/graphics separation, symbol extraction, vectorization and symbol recognition with the object of applying them to electronic cirucit drawings. We use MBR (Minimum bounding rectangle) and size of isolated region on the drawings for separating text and graphic regions. Characteristics parameters such as the number of pixels, the length of circular constant and the degree of round shape are used for extracting loop symbols and geometric structures for non-loop symbols. To recognize symbols, nearest netighbor between FD (foruier descriptor) of extractd symbols and these of classification reference symbols is used. Experimental results show that the proposed method can generate compact vector representation of extracted symbols and perform the scale change and rotation of extracted symbol using symbol vectorization. Also we achieve an efficient searching of circuit drawings.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.2
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• pp.203-215
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• 1995

The funning process in the symbolism of dress can be approached by the semiotics of C. S. Pierce. According to Pearce\ulcorners theory, symbiosis consists of sign, its object, and interpret ant. Especially Pierce classifies the sign into three categories; icon, index, and symbol. The icon is based on the similarity in properties and forms, and the index is based on the actual connection with their objects, while the symbol is based on the association of interpret ant. This classification method can be considered as a theoretical base for symbol of ritual dress. On the other hand, it was discussed the analyzing method of the concept of dress same (symbolic element) by introducing the isolate concept of structuralism for explaining how the symbol reveals itself. So it is discussed the several concepts of structuralism; the concept of relation syntagmatique and relation paradigmatique, the relation binaries, and the units. It would be also necessary to consider dimension of context in addition to dimension of dress itself for the dimension of total symbolic elements of ritual dress. It is proposed that the above developed dress symbol elements should be used for under\ulcornerstanding the society or culture that includes the elements by introducing the symbolic anthropology such as V. Turner's three dimensions of symbol.

• Archives of design research
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• v.18 no.1 s.59
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• pp.5-16
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• 2005

As for the public, it is hard to understand semiotics because of the scope of an enormous semiotics education. This study is making semiotics of Charles Sanders Peirce the subject. I thought that utilization can hold his semiotics study in a visual design field. First of all, this study considered design related papers related to the existing semiotics again and study found an error of the existing semiotics study and understanding did category concept with re-definition about semiotics of Peirce. Explained a symbol mark through understanding of semiotics of Peirce. This study was able to get the following conclusion through these results. 1) A symbol mark means one product, sonics, company oneself with a custom. Therefore, it is a rule symbol in the Representation side. 2) A symbol mark symbolizes an object with one symbol, so a symbol mark is a symbol in an object. 3) Because a symbol mark exists through a social rule, in semiotics definition of Peirce, this must become understanding with a Argument symbol. 4) A symbol mark is what a company or an organization field used from the past, and the public are recognizing this how. Therefore, it works as fact a company attaches a symbol mark to own product, and to show the public a symbol mark. A symbol mark is Dicent Sign in Interpretant. A rule and understanding about a lot of types which have various mutual relation, Peirce classification and understanding of a symbol mark tells to demand is holding that understanding a type of semiotics with the concept that is not an image to us.

• Korean Institute of Interior Design Journal
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• v.23 no.3
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• pp.29-38
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• 2014

This paper is to analysis covering and exposing elements through surface in the spirit of the time through the meaning of relationship between structure and symbol(ornament) in the theory of dressing of Gottfrid Semper. In other words, The purpose is to illuminate how complementary tectonic between structure and symbolic of an architecture surface is expressed in accordance with the biased required conditions relating with the paradigm of the era. The advancement of the new method of tectonic and the new aesthetic taste have a deep relation with the reconsidering the dichotomy classification discussing a dominant position between structure and symbol(ornament). Expression of surface representing the era comes across the combined interpretation of technology, structure, and the non-physical culture's art of the community and the era.

• The Research Journal of the Costume Culture
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• v.2 no.1
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• pp.55-76
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• 1994

The purpose of this study was to analyze the classification and meaning of symbols, of the clothes of the college students by sex-roll theory and identity theory. The clothes analyzed in this study were collected by photographs which were taken in the campus (240 out of 1,000 pictures) of the several colleges and universities in Seoul form fall in 1993 to summer in 1994. The results were as follow : 1. Analysis as a symbol of sexuality. The phenomenon of the visual inconsistency and consistency of sexual image in dress were showed simultaneously. The clothes of male students were generally becoming feminine style in materials and colors of clothes. These suggested that sex-roll theory be applied to their clothes. 2. Analysis as symbols of identification or individuality. The identification of shoes, bags, accessories, and hair styles were prominent than that of clothes. When it was analyzed as a symbol of individuality, the college students seemed to act as fashion leaders, who accepted new fashions and tried them on first. These suggested that Erikson′s theory on identity be applied to their clothes. 3. Analysis as a symbol of emblem. The dissimilarities of between the college students and other groups in the same generation were bright and casual attire with files, books, and sack. 4. Analysis as a symbol of campus ceremony. The clothes of college students on campus ceremonies were more causal and flexible than those of other groups in the same generation. It was known that the symbols showed above were reflected on their clothes as "one′s expressions" which are sex-roll, identity, and characteristics of college students.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.149-156
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• 2015

In this paper, we propose a Korean sentence symbol preprocessor for a SSML (speech synthesis markup language) supported speech synthesis system in order to improve the quality of the synthesized result. After the analysis of Korean Wikipedia documents, we propose 8 categories for the meaning of sentence symbols and 11 regular expression for the classification of each category. After the development of a Korean sentence symbol preprocess system we archived 56% of precision and 71.45% of recall ratio for 63,000 sentences.

• Journal of KIISE
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• v.43 no.6
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• pp.678-685
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• 2016

Named Entity Recognition and Classification (NERC) is a task for recognition and classification of named entities such as a person's name, location, and organization. There have been various studies carried out on Korean NERC, but they have some problems, for example lacking some features as compared with English NERC. In this paper, we propose a method that uses word embedding as features for Korean NERC. We generate a word vector using a Continuous-Bag-of-Word (CBOW) model from POS-tagged corpus, and a word cluster symbol using a K-means algorithm from a word vector. We use the word vector and word cluster symbol as word embedding features in Conditional Random Fields (CRFs). From the result of the experiment, performance improved 1.17%, 0.61% and 1.19% respectively for TV domain, Sports domain and IT domain over the baseline system. Showing better performance than other NERC systems, we demonstrate the effectiveness and efficiency of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.10
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• pp.3230-3255
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• 2022

Causality mining in NLP is a significant area of interest, which benefits in many daily life applications, including decision making, business risk management, question answering, future event prediction, scenario generation, and information retrieval. Mining those causalities was a challenging and open problem for the prior non-statistical and statistical techniques using web sources that required hand-crafted linguistics patterns for feature engineering, which were subject to domain knowledge and required much human effort. Those studies overlooked implicit, ambiguous, and heterogeneous causality and focused on explicit causality mining. In contrast to statistical and non-statistical approaches, we present Bidirectional Encoder Representations from Transformers (BERT) integrated with Multi-level Feature Networks (MFN) for causality recognition, called BERT+MFN for causality recognition in noisy and informal web datasets without human-designed features. In our model, MFN consists of a three-column knowledge-oriented network (TC-KN), bi-LSTM, and Relation Network (RN) that mine causality information at the segment level. BERT captures semantic features at the word level. We perform experiments on Alternative Lexicalization (AltLexes) datasets. The experimental outcomes show that our model outperforms baseline causality and text mining techniques.