• 디자인학연구
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• 제13권3호
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• pp.69-80
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• 2000

Body has been high-lightened as one of the most important theme since the philosophy and the arts are focused on it in the late 20 century. Resurgence of interests in human body has been based on the skepticism on rapid digitalization and do-materialization currently undergoing in electronic media environments. Artists have been endeavoring more and more to find a synthesis which links the conceptual and the sensuous in their works as digitalization gets faster and faster. The Bodily-oriented art uses its visceral qualities, either literally or metaphorically, to engage our total being, not just our mental consciousness, in building a sensuous, evocative statement. Its transcendent ideas are inter- mixed with the fabric of the world. We are touched by this art not only because we understand it cognitively, but because we "feel"it. These characteristics of textile arts caused gradual increase of soft-sculpture works using textiles and implies possibilities of inter-grade of physical and mental world. Ann Hamilton, Magdalena Abakanowiz, Folly Apfelbaum and Pallid Dougherty are, for example, related to the fiber arts. It would be of worth to study the characteristics of contemporary faber-art works, especially done by Abakanowiz who has been regarded as a dominant pioneer in the contemporary fiber arts from the viewpoint of inter-grade of the physicals and the mental. This paper, therefore, deals with the Abaknowiz′works in the context of human body and body-signs. Life and works might be classified into 5 stages; first, learning period since her birth in 1930, second, creation period of Abakan, third, remodelling period of Abakan, fourth, composition and dissolution period of Abakan and the last and fifth, new transformation period of Abakan. ′Abakan′through her whole life as an artist has been a plastic language and based ultimately on external human body but in various materials and forms.

• 영어어문교육
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• 제17권4호
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• pp.339-356
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• 2011

This study explored pre-service English teachers' participation in the development of a rubric and examined evaluation of their own English poetry. The current study would investigate: 1) the pre-service English teachers' perception as a rubric developer and self-evaluator, 2) the number of analytic area that the participants included in their rubrics and the scoring scheme that they designed in their rubrics, and 3) the inter-rater differences between self-assessemnt and expert-assessment across analytic areas. Twenty-four EFL learners participated in the current study. The researchers analyzed the learners' own English poetry, their field notes which contained the process of their writing, their rubrics, scores of self-assessment, and expert raters' scores. The results revealed that learners showed positive responses on learner-directed assessment, that 'content' is the most important area, and that inter-rater difference is small across all analytic areas.

• 대한전자공학회논문지SP
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• 제37권5호
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• pp.21-30
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• 2000

서로 다른 언어 사이의 언어 장벽을 극복하기 위한 한 방법으로 CG 애니메이션 기술을 이용한 수화통신 시스템이 연구되고 있다. 이 시스템에서 하나의 수화 애니메이션을 생성하기 위해서는 그 제스춰에 해당하는 팔과 손의 관절 각을 결정해야 한다 그러나 현재까지 시행착오적인 방법으로 관절 각을 계산하였기 때문에 애니메이터의 숙련도에 의지할 수밖에 없었다 따라서 본 논문에서는 이러한 문제점을 해결하기 위하여, 쉽고 빠르게 3차원 수화 애니메이션을 위한 팔과 손의 키 프레임을 함께 생성할 수 있는 통합된 키 프레임 에디터를 제작한다 구현된 키 프레임 에디터에서는 관절 각 계산에 역 운동학을 이용하였으며, 양팔과 20개의 손가락 관절에 통일한 변환 행렬식을 이용 할 수 있도록 표준화하였다 실험 결과 본 논문에서 제시한 에디터를 이용할 경우 이종언어간의 수화통신에 사용되는 수화 파라미터 사전을 좀더 효율적으로 생성할 수 있음을 확인하였다.

• 한국언어정보학회:학술대회논문집
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• 한국언어정보학회 2007년도 정기학술대회
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• pp.489-497
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• 2007

Named entity translation plays an important role in many applications, such as information retrieval and machine translation. In this paper, we focus on translating person names, the most common type of name entity in Korean-Chinese cross language information retrieval (KCIR). Unlike other languages, Chinese uses characters (ideographs), which makes person name translation difficult because one syllable may map to several Chinese characters. We propose an effective hybrid person name translation method to improve the performance of KCIR. First, we use Wikipedia as a translation tool based on the inter-language links between the Korean edition and the Chinese or English editions. Second, we adopt the Naver people search engine to find the query name's Chinese or English translation. Third, we extract Korean-English transliteration pairs from Google snippets, and then search for the English-Chinese transliteration in the database of Taiwan's Central News Agency or in Google. The performance of KCIR using our method is over five times better than that of a dictionary-based system. The mean average precision is 0.3490 and the average recall is 0.7534. The method can deal with Chinese, Japanese, Korean, as well as non-CJK person name translation from Korean to Chinese. Hence, it substantially improves the performance of KCIR.

• The Journal of the Acoustical Society of Korea
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• 제21권1E호
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• pp.3-11
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• 2002

Broadcast news transcription is one of the hardest tasks in speech recognition because broadcast speech signals have much variability in speech quality, channel and background conditions. We developed a Korean broadcast news speech recognizer. We used a morpheme-based dictionary and a language model to reduce the out-of·vocabulary (OOV) rate. We concatenated the original morpheme pairs of short length or high frequency in order to reduce insertion and deletion errors due to short morphemes. We used a lexicon with multiple pronunciations to reflect inter-morpheme pronunciation variations without severe modification of the search tree. By using the merged morpheme as recognition units, we achieved the OOV rate of 1.7% comparable to European languages with 64k vocabulary. We implemented a hidden Markov model-based recognizer with vocal tract length normalization and online speaker adaptation by maximum likelihood linear regression. Experimental results showed that the recognizer yielded 21.8% morpheme error rate for anchor speech and 31.6% for mostly noisy reporter speech.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.10-14
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• 2005

In this paper, we highlight the development of a web application system. Its main objective is to provide pathway visualization functionalities for inter-cytokine relationships, as well as for other types of relationships, with a specific cytokine(s) of interest. A natural language processor is first used to extract information from a certain web page that concerns the cytokine(s) of interest. The results obtained are then further processed and then displayed graphically to the user. The system displays how the cytokine(s) of interest interacts with other cytokines and cells. Useful information such as the type of reaction and catalyst involved, if any, are also displayed. In addition, the system also offers functionalities for graphical manipulations of the visualized pathways. The system has been shown to provide better overview, and hence, improved learning to readers who are new to this field by virtue of accurate inputs obtained from the natural language processing module.

• 한국도서관정보학회지
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• 제22권
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• pp.373-401
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• 1995

This study aims to improve subject retrieval by constructing the hypertext-based thesaurus to provide a browsing interface to a thesaurus. The experimental system used IBM 486 DXII as a hardware, C++ language as a programming language and Hangul Window 3.1 version as a user interface. The results of this study are summarized as follows : (1) The experimental hypertext-based thesaurus can be used as an efficient search aid for query formulation for the retrieval of bibliographic information. (2) The initial access to the hypertext-based thesaurus is via a keyword index. This index is consist of all the words used to form thesaurus terms, whether descriptors or nondescriptors. (3) Hypertext-based thesaurus allow bookmark button and history button to alleviating the problem of disorientation. (4) This system allow an end-user to view a rich variety of inter-term relationships and a complete conceptus of associations through the information space in a nonsequential manner.

• 한국철도학회:학술대회논문집
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• 한국철도학회 1999년도 춘계학술대회 논문집
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• pp.283-290
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• 1999

Recently, the ${\mu}$-processor based-controlled systems instead of conventional relays circuitry are widely used to industrial applications, and also those technology is available to railway signalings which are safety-critical systems. However, the safety and reliability of software for those systems are harder to demonstrate than in traditional relays circuitry because the faults or errors can not be analyzed and predicted to those systems. So, the safety problems are crucial more and more in ${\mu}$-processor based-controlled system. In this paper, the Grafcet language, the graphical and mathematical form, is used to obtain the high-level safety and reliability of software control logic. The general description for Grafcet notation are provided. And some partial of interlocking logic are formally modeled and simulated by Grafcet language and graphical windows.

• 영어영문학
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• 제64권4호
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• pp.551-564
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• 2018

Laodiceanism is the blueprint from which Hardy draws one of his most ingenuous effects: the creating of a Laodicean around which the novel constructs its ambiguity. Hardy's command of "ingenuity" joins both the leading heroine Paula and the minor character Dare into the same category of a Laodicean. Alongside Paula, Dare is the most important ingredient in the novel in that he acts as an enigmatic persona defying the reader's attempts to establish a coherent type. This paper aims to offer a close reading of Dare's life story, which is chosen for discussion as he has been deemed as a simple functionary and thus apparently escaped serious critical notice thus far. It is stressed that the structure of sensations Dare embodies is fascinating in the sense that it is a locus where the coexistence of both meaning and nonmeaning would not amount to harmonious peace or stability so much as permits the impossibility of single and central significance. In this coexistence is inscribed a notion that the binaries in opposition are endlessly inter-mingled in dialogic tension, which is the hallmark of Laodiceanism that Hardy aims to present through the creation of Dare.

• Journal of information and communication convergence engineering
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• 제20권2호
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• pp.113-124
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• 2022

News in the form of web data generates increasingly large amounts of information as unstructured text. The capability of understanding the meaning of news is limited to humans; thus, it causes information overload. This hinders the effective use of embedded knowledge in such texts. Therefore, Automatic Knowledge Extraction (AKE) has now become an integral part of Semantic web and Natural Language Processing (NLP). Although recent literature shows that AKE has progressed, the results are still behind the expectations. This study proposes a method to auto-extract surface knowledge from English news into a machine-interpretable semantic format (triple). The proposed technique was designed using the grammatical structure of the sentence, and 11 original rules were discovered. The initial experiment extracted triples from the Sri Lankan news corpus, of which 83.5% were meaningful. The experiment was extended to the British Broadcasting Corporation (BBC) news dataset to prove its generic nature. This demonstrated a higher meaningful triple extraction rate of 92.6%. These results were validated using the inter-rater agreement method, which guaranteed the high reliability.