• 한국엔터테인먼트산업학회논문지
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• 제13권4호
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• pp.119-129
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• 2019

연기교육에서 기존의 화술교육은 장단음 찾기, 자음과 모음의 조음연습, 딕션연습 등 대사를 표현하는 기술적인 측면에 치중되어 있었으며, 이러한 교육으로 대사가 말처럼 살아나기에는 한계가 있었다. 대사가 살아나는 순간은 배우가 대사를 말하는 사이 단어 이면의 멘탈 이미지를 구체적으로 보는 순간이다. 필자는 뇌과학 분야에서 인지뇌과학과 NLP (Neural Linguistic Programing)의 지식을 빌려와 멘탈 이미지가 무엇인지, 왜 멘탈 이미지가 생각과 감정의 기본 요소인지를 추적한다. 또한, 멘탈 이미지를 섬세하게 떠올리는 과정(하위양식)에서 신체의 근육들이 어떻게 반응하게 되고, 그 반응하는 근육들을 이용해 어떻게 강세, 사이, 피치, 억양 등의 말하기 재료들(강세, 사이, 피치, 억양 등)이 살아나는지를 살펴본다. 이러한 연구를 바탕으로 화술교육에서 왜 멘탈 이미지 교육이 선행되어야 하는지를 증명한다. 결론에서는 멘탈 이미지를 공부하는 과정에서 배우가 만나게 되는 장애물에 대해 열거하고, 장애물을 제거하는 방법 중 하나로 '호흡의 활성화'를 후속논문으로 계획한다.

• 터널과지하공간
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• 제20권3호
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• pp.217-224
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• 2010

비교적 균질한 3가지 화강암이 암석의 미세구조적 특성과 파괴인성 사이의 관계를 조사하기 위하여 연구되었다. 광학 현미경 관찰로 분석된 광물입자의 장축과 미세균열의 방위에 의하여 파괴인성 및 초음파 속도의 변화를 보였다. 가장 작은 값을 나타내는 파괴인성은 인장응력 방향과 수직하게 발달된 광물입자의 장축 및 미세균열의 방향이 주결에 일치할 때로서 파괴가 연약면인 광물입자의 장축이나 미세균열의 우세방향에 평행하게 전달될 때이다. SR 시편으로 측정된 파괴인성값은 1.63~2.62 MPa $m^{0.5}$의 변화를 보이며, 그 값들은 광물입자의 평균크기 및 미세균열의 평균길이와 관련된다.

• 대한음성학회지:말소리
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• 제39호
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• pp.1-14
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• 2000

In Korean, it has been well Down that vowel length plays an important role in differentiating word meanings. But the distinction between long and short vowels is often ignored by young generation. The purpose of this paper is to investigate the change in rhythm patterns. In addition, it is also examined whether this change has resulted in the differences in prosodic features between young and old groups. This study is based on H. B. Lee's 'rhythm pattern theory' Based on his assumption, it is suggested that the loss of original vowel length has caused the place of accent to move from the first to the second syllable.

• 지식경영연구
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• 제16권4호
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• pp.89-108
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• 2015

Social networking communities (SNCs) are media designed to facilitate social interaction using highly accessible and scalable publishing techniques. SNCs can constitute individuals' their own profiles in the online environment and share texts, images and photos in a variety ways. In other words, one of the other motivators is knowledge sharing. Various sites, such as Facebook, Orkut, MySpace, and Hi5 are categorized as SNCs. SNCs have become increasingly popular in recent years among youths, especially students, who use them to build social networks. This study examines whether this usage of SNCs inculcates a sense of community among their members. Several studies have examined the role of a sense of community through increased usage in the context of virtual communities. Although this result may be true of virtual communities, this paper contends that the opposite relationship prevails in the case of SNCs because members interact to build networks and are not obliged to interact. The results reveal that maintaining long-term interactions in the SNCs is helpful in building a sense of community in SNCs. Although short-term usage may not boost the development of a sense of community in SNCs, it does matter if the premise is for a long-term commitment to SNCs. Implications for theory and practice are discussed.

• 한국학교수학회논문집
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• 제15권4호
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• pp.699-718
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• 2012

학생들이 문장으로 이루어진 문제를 해결과정에서 발생하는 오류의 유형을 분류하고, 각각의 오류 유형을 보인 학생들의 면담(인터뷰)을 통하여 오류를 범하게 된 요인을 분석하였다. 연구결과에 따라 나타난 대표적인 오류 유형은 '문항 이해의 부족', '풀이과정의 오류', '정리나 정의에 대한 왜곡된 이해', '이기과정의 오류', '기술적 오류', '풀이과정 생략' 등으로 나타났다. 또한 일부 학생들은 문장제에 대한 부담감으로 문제를 해결하기보다는 포기하는 현상이 나타났으며, 학생들은 문장으로 이루어진 문제를 해결을 하기 위해서 무엇보다 문제에 대한 이해가 필요한데, 이 부분이 절대적으로 부족하여 문제에서 주어진 자료를 자의적으로 판단하고 활용하는 경향이 짙게 보였다. 교사는 학생들이 문장제 문제 해결과정에서 발생하는 오류를 미리 파악하고 이를 보안할 수 있는 교수-학습방법으로 학생들을 지도한다면 오류를 사전에 예방하여 발생빈도를 줄일 수 있고, 학생들로 하여금 효과적인 학습이 이루어 질 수 있을 것이다.

• 복식문화연구
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• 제8권3호
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• pp.493-511
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• 2000

The objective of this study was to trace and to examine costume terminologies recorded in Pak Tong Sa Eun Hae. Names of costumes and costume related terms were collected from P마 Tong Sa Eun Hae. Books and various references from China and Korea were used for this study. Costume terms were examined from the Chinese and Korean. Classifications of costume terminologies from the data were made for the analysis : man and woman's costume, accessories, names of fabrics, colors, and decorative motifs used, professional costume, special occasion dresses and so on. Conclusions and summary of results and findings can be summerized as follows : It revealed that manes of man's costume and other costume related words were a large in number compared with those of woman. Only one name of woman's costume appeared in the text : It was kind of long vests. However, names of accessories such as a hat, a hat decorated with jewels and phoenix design, a hair pin, earings, bracelets, finger rings, a soft belt were shown in the text. While many costume names of man included in the text were of garments such as a kind of long vest, a short vest, an outer robe, a kind of long coat with pleated skirt, leg coverings, outer jacket and so on. Also names of undergarments such as an under skirt, a belly covering, and drawers were found in the text. Fabric names were mostly silks such as brocade, twill, sarcenet, damasks and plain silks. Blue was the most widely appeared fabric color in the text and red was the second. Design motifs of fabric design were of dragon, flowers, eight precious things, clouds which were characteristic design motifs of the Chinese. It was found that some of the Chinese costume terminologies were translated into the Korean although many Chinese costume terms were used as the original Chinese.

• 말소리와 음성과학
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• 제8권1호
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• pp.37-44
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• 2016

The goal of the current study is to investigate how the sound change is reflected in production or in perception, and what the effect of lexical frequency is on the loss of sound contrasts. Specifically, the current study examined whether the vowel length contrasts are retained in Korean speakers' productions, and whether Korean listeners can distinguish vowel length minimal pairs in their perception. Two production experiments and two perception experiments investigated this. For production tests, twelve Korean native speakers in their 20s and 40s completed a read-aloud task as well as a map-task. The results showed that, regardless of their age group, all Korean speakers produced vowel length contrasts with a small but significant differences in the read-aloud test. Interestingly, the difference between long and short vowels has disappeared in the map task, indicating that the speech mode affects producing vowel length contrasts. For perception tests, thirty-three Korean listeners completed a discrimination and a forced-choice identification test. The results showed that Korean listeners still have a perceptual sensitivity to distinguish lexical meaning of the vowel length minimal pair. We also found that the identification accuracy was affected by the word frequency, showing a higher identification accuracy in high- and mid- frequency words than low frequency words. Taken together, the current study demonstrated that the speech mode (read-aloud vs. spontaneous) affects the production of the sound undergoing a language change; and word frequency affects the sound change in speech perception.

• 한국정보통신학회논문지
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• 제22권8호
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• pp.1049-1054
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• 2018

유사 특허를 검색하는 방법으로 기존에는 키워드 검색 방법을 사용하고 최근에는 머신러닝을 활용한 자동분류 방법을 사용하고 있다. 키워드 검색은 데이터 정제를 통해 정형화된 데이터 분석 방법으로 단문일 경우 검색에서는 정확도는 높지만 문서와 같이 여러 단어로 이루어진 장문일 경우 문장에 내포된 의미 분석을 할 수 없었다. 의미 분석 단계에서의 자동 분류 방법은 비정형 데이터 분석 방법으로 여러 단어로 이루어진 문장을 분류하는데 사용되고 있다. 그 동안 두 가지 방법을 결합하여 유사 문서 검색을 하려는 시도가 있었지만 비정형 데이터와 정형 데이터의 동시 사용에는 분석하는 방법이 다르기 때문에 동시 적용에는 알고리즘 상의 문제가 있었다. 이에 본 논문에서는 문서에서 함축된 키워드를 검출하고 잠재 의미 분석(LDA) 방식을 사용하여 사람이 개입하지 않고 문서를 효율적으로 자동분류하고 유사 특허를 검색할 수 있는 방법을 연구하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.113-124
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• 2021

The study investigates how financial markets respond to a shock to tone and semantic similarity of the Bank of Thailand press releases. The techniques in natural language processing are employed to quantify the tone and the semantic similarity of 69 press releases from 2010 to 2018. The corpus of the press releases is accessible to the general public. Stock market returns and bond yields are measured by logged return on SET50 and short-term and long-term government bonds, respectively. Data are daily from January 4, 2010, to August 8, 2019. The study uses the Structural Vector Auto Regressive model (SVAR) to analyze the effects of unanticipated and temporary shocks to the tone and the semantic similarity on bond yields and stock market returns. Impulse response functions are also constructed for the analysis. The results show that 1-month, 3-month, 6-month and 1-year bond yields significantly increase in response to a positive shock to the tone of press releases and 1-month, 3-month, 6-month, 1-year and 25-year bond yields significantly increase in response to a positive shock to the semantic similarity. Interestingly, stock market returns obtained from the SET50 index insignificantly respond to the shocks from the tone and the semantic similarity of the press releases.

• ETRI Journal
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• 제42권1호
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• pp.90-100
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• 2020

Named entity recognition (NER) continues to be an important task in natural language processing because it is featured as a subtask and/or subproblem in information extraction and machine translation. In Urdu language processing, it is a very difficult task. This paper proposes various deep recurrent neural network (DRNN) learning models with word embedding. Experimental results demonstrate that they improve upon current state-of-the-art NER approaches for Urdu. The DRRN models evaluated include forward and bidirectional extensions of the long short-term memory and back propagation through time approaches. The proposed models consider both language-dependent features, such as part-of-speech tags, and language-independent features, such as the "context windows" of words. The effectiveness of the DRNN models with word embedding for NER in Urdu is demonstrated using three datasets. The results reveal that the proposed approach significantly outperforms previous conditional random field and artificial neural network approaches. The best f-measure values achieved on the three benchmark datasets using the proposed deep learning approaches are 81.1%, 79.94%, and 63.21%, respectively.