• 제어로봇시스템학회논문지
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• 제15권11호
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• pp.1115-1121
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• 2009

For HRI (Human-Robot Interaction) in daily life, robots need to recognize non-rigid objects such as clothes and blankets. However, the recognition of non-rigid objects is challenging because of the variation of the shapes according to the places and laying manners. In this paper, the cognition of non-rigid object based on a cognitive system is presented. The characteristics of non-rigid objects are analysed in the view of HRI and referred to design a framework for the cognition of them. We adopt a linguistic cognitive system for describing all of the events happened to robots. When an event related to the non-rigid objects is occurred, the cognitive system describes the event into a sentential form and stores it at a sentential memory, and depicts the objects with a spatial model for being used as references. The cognitive system parses each sentence syntactically and semantically, in which the nouns meaning objects are connected to their models. For answering the questions of humans, sentences are retrieved by searching temporal information in the sentential memory and by spatial reasoning in a schematic imagery. Experiments show the feasibility of the cognitive system for cognizing non-rigid objects in HRI.

• 만화애니메이션 연구
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• 통권9호
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• pp.184-198
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• 2005

캐릭터는 동서양으로 구분된 일반적 문화적 가치 차이에 토대를 두면서 동서양에 적용할 수 있는 보편적인 가치체계를 구성하고 있다. 영상시대로 표현되는 현대 사회에서 우리의 애니메이션 산업과 미국, 일본의 애니메이션 산업과의 관계를 들지 않는다 하더라도 새로운 시장 형성에 문화첨병 역할을 캐릭터관련 상품들이 해내고 있으며, 이미 성공한 모델로서의 동서양의 캐릭터 산업은 문화적 가치 측면에서 우리 생활 전반에 깊숙이 침투해왔다. 캐릭터는 문화적 가치의 반영이라는 가정을 토대로 애니메이션 캐릭터에 나타나는 신체언어적 표현의 의미를 고찰하고, 캐릭터의 문화적 자산으로서의 가치와 효용성 증대방안을 짚어 보고자 한다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.1529-1532
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• 2007

Failure Mode, Effects, and Criticality Analysis (FMECA) is an extension of FMEA which includes a criticality analysis. The criticality analysis is used to chart the probability of failure modes against the severity of their consequences. The result highlights failure modes with relatively high probability and severity of consequences, allowing remedial effort to be directed where it will produce the greatest value. However, there are several limitations. Measuring severity of failure consequences is subjective and linguistic. Since The result of FMECA only gives qualitative and quantitative informations, it should be re-analysed to prioritize critical units. Fuzzy set theory has been introduced by Lotfi A. Zadeh (1965). It has extended the classical set theory dramatically. Based on fuzzy set theory, fuzzy logic has been developed employing human reasoning process. IF-THEN fuzzy rule based assessment approach can model the expert's decision logic appropriately. Fault tree analysis (FTA) is one of most common fault modeling techniques. It is widely used in many fields practically. In this paper, a simple fault tree analysis is proposed to measure the severity of components. Fuzzy rule based assessment method interprets linguistic variables for determination of critical unit priorities. An rail-way transforming system is analysed to describe the proposed method.

• 대한수학교육학회지:수학교육학연구
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• 제11권2호
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• pp.239-256
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• 2001

The notion of metaphor has been increasingly popular in research of mathematics education. In particular, metaphor becomes a useful unit for analysis to provide a profound insight into mathematical reasoning and problem solving. In this context, this paper takes metaphor as an analytic unit to examine the relationship between objectivity and subjectivity in mathematical reasoning. Specifically, the discourse analysis focuses on the code switching between literal language and metaphor in mathematical discourse. It is shown that the linguistic code switching is parallel with the switching between two different kinds of mathematical knowledge, that is, factual knowledge and mathematical imagination, which constitute objectivity and subjectivity in mathematical reasoning. Furthermore, the pattern of the linguistic code switching reveals the dialectical relationship between the two poles of mathematical reasoning. Based on the understanding of the dialectical relationship, this paper provides some educational implications. First, the code-switching highlights diverse aspects of mathematics learning. Learning mathematics is concerned with developing not only technicality but also mathematical creativity. Second, the dialectical relationship between objectivity and subjectivity suggests that teaching and teaming mathematics is socioculturally constructed. Indeed, it is shown that not all metaphors are mathematically appropriated. They should be consistent with the cultural model of a mathematical concept under discussion. In general, this sociocultural perspective on mathematical metaphor highlights the sociocultural organization of teaching and loaming mathematics and provides a theoretical viewpoint to understand epistemological diversities in mathematics classroom.

• 인문언어
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• 제5권
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• pp.127-163
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• 2003

This thesis analyzes the Chapter "Hoyeonjigi(浩然之氣)" of Mencius(孟子), using text linguistics theory and reading theory of Korean. In this process the model of macro-structure #1∼5 are presented, according to Vandijk′s rules of macro-structure; Auslassen, Selektierne, Generalisieren, Konstruieren odor Integrieren. As a result, this certifies; First, macro-structure could make arbitrarily a several steps of macro-structure by types of text or purpose of analysis. Second, macro-structure applies various cognitive mechanisms of outer world as well as inner world. Third, a text with profound symbolism could be figured as a two-or threefolded symbolic structure. At the same time, macro-structure enables the clearer analysis of the content of the Chapter to verify the following; first, Hoyeinjigi itself is the best measure of developing "Imperturbable Mind(不動心)" Second, benevolence-righteousness(仁義) and wisdom(智) would be reached by cultivating Hoyeonjigi. Third, Mencius′ own view of language is well expressed in "Jieon(知言)", which is not only a condition for Imperturbable Mind, but also the Oriental view of language focused especially on listening in terms of language usage, not language analysis. This Mencius′ view of language has a thread connection with that of Oriental′s.

• Spatial Information Research
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• 제7권2호
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• pp.191-207
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• 1999

공간과 관련된 의사결정문제 해결에 필요한 취득가능한 자료나 정보는 불완전하거나 부정확하며, 많은 부분 자연산어(natural language)로 기술되어 있다. 이 같은 정보들을 컴퓨터를 이용하여 처리하기 위해서는 결국 컴퓨터로 하여금 인간이 사용하는 자연어를 이해할 수 있도록 애매한 특성의 언어값(Linguistic value)을 정량적으로 기술할 필요가 있다. 이를 위해 퍼지집합(fuzzy set) 이론을 퍼지논리(fuzzy logic)가 대표적인 방법론으로 이용되고 있다. 본 논문에서는 부정확하거나 불명확한 자료 및 정보를 기반으로 의사결정문제를 지능적으로 처리하기위해 사용자가 가장 이해하기 쉬운 자연어로 『언어모델』을 구축하고, 평가사안이나 의사결정문제가 불명확하게 서술될 경우 컴퓨터를 이용한 구조화 및 추론을 통한 문제해결이 가능하도록 퍼지추론기관구축을 위한 일련의 논리적 개념과 구축과정을 연구하였다.

• 전자공학회논문지CI
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• 제41권5호
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• pp.41-49
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• 2004

인터넷 가상공간에서 서로 다른 언어 사이의 장벽을 극복하기 위한 방법으로 수화 통신 시스템이 연구되고 있다. 그러나 지금까지의 연구는 같은 유형의 아바타 만을 대상으로 하였기 때문에 모델 구조가 서로 다를 경우에는 적용할 수 없다는 문제가있다. 따라서 본 연구에서는 FBML (Facial Body Markup Language)을 이용하여 서로 다른 아바타들 간의 수화 제스처 통신을 구현하는 방법을 제안하였다. 즉, FBML을 정의하여 제스처를 위한 관절각 및 얼굴 표정 등 서로 다른 아바타 모델들 사이에 전달할 내용을 표준 문서로 만들었다. 본 방법은 윈도우 플렛폼에서 Visual C++와 Open Inventor 라이브러리를 이용하여 구현하였으며, 실험 결과 언어의 장벽을 넘을 수 있는 비언어 통신수단으로 이용될 수 있는 가능성을 확인하였다.

• 한국정보통신학회논문지
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• 제5권4호
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• pp.730-737
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• 2001

본 논문에서는 적응 뉴로-퍼지 제어기를 이용하여 비선형 복합시스템 모델의 안정화 제어 방법에 적용한다. 제안된 적응 뉴로-퍼지 제어기는 언어적 퍼지추론, 프로세스의 입출력 데이터를 이용하는 신경회로망, 최적이론 등이 포함된 인공지능을 시스템구조와 파라메터 검증에 필요한 도구로 이용한다. 그 결과 제안된 방법이 이전에 연구되었던 다른 방법보다 아주 높은 인공지능 모델을 제시하였다.

• International Journal of Contents
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• 제15권1호
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• pp.39-51
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• 2019

Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients' speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.

• Architectural research
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• 제12권2호
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• pp.85-92
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• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.