• Journal of the KSME
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• v.25 no.3
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• pp.191-197
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• 1985

시장조사나 사용자의 주문으로부터 기본계획도를 작성 이로부터 원안도를 작성 이 원안도에 대한 여러 가지 분석과 평가를 거쳐 최종적으로 원안도를 확정, 이로부터 상세부품도, 조립도를 그리게 된다. 이와같은 설계시스템 중, 현재 CAD화가 어느 정도 이루어지고 있는 공정은 E, F, G등 구조계산부분 및 J, K의 도며제도 공정 정도이다. 본란에서 다루고자 하는 설계방법론은 "B"의 기본계획도 작성공정의 CAD화를 위한 것이다. 이러한 설계방법론을 확립하기 위하여는 우선 공작기계의 구조형태를 어떠한 방법으로 기술한 것인가가 문제가 되며 이하에서 이러한 공작기계 구조형태의 기술방법과 이를 응용한 공작기계의 구조형태의 설계방법론에 관하여 살펴 보고자 한다.살펴 보고자 한다.

• The Science & Technology
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• v.28 no.10 s.317
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• pp.14-15
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• 1995

현대인들은 3백년 전 뉴턴이 축성한 기계론적 절대결정주의 세계관 속에서 살고있다. 과정보다 결론을 중시하는 사회는 뉴턴의 물질만능주의적 세계관의 소산이라고 할 수 있다. 현대사회는 뉴턴의 세계관으로부터 서서히 탈피해야 한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.4
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• pp.348-353
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• 2013

Recently, control theory including stochastic optimal control and various machine-learning-based artificial intelligence methods have become major tools in the field of financial engineering. In this paper, we briefly review some recent papers utilizing stochastic optimal control theory in the fields of the pair trading for mean-reverting markets and the trend-following strategy, and consider a couple of strategies utilizing both stochastic optimal control theory and machine learning methods to acquire more flexible and accessible tools. Illustrative simulations show that the considered strategies can yield encouraging results when applied to a set of real financial market data.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.529-534
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• 2020

인공신경망 기반 기계번역(Neural Machine Translation, NMT)이란 딥러닝(Deep learning)을 이용하여 출발 언어의 문장을 도착 언어 문장으로 번역해주는 시스템을 일컫는다. NMT는 종단간 학습(end-to-end learning)을 이용하여 기존 기계번역 방법론의 성능을 앞지르며 기계번역의 주요 방법론으로 자리잡게 됐다. 이러한 발전에도 불구하고 여전히 개체(entity), 또는 전문 용어(terminological expressions)의 번역은 미해결 과제로 남아있다. 개체나 전문 용어는 대부분 명사로 구성되는데 문장 내 명사는 주체, 객체 등의 역할을 하는 중요한 요소이므로 이들의 정확한 번역이 문장 전체의 번역 성능 향상으로 이어질 수 있다. 따라서 본 논문에서는 지식그래프(Knowledge Graph)를 이용하여 심볼릭 지식을 NMT와 결합한 뉴럴심볼릭 방법론을 제안한다. 또한 지식그래프를 활용하여 NMT의 성능을 높인 선행 연구 방법론을 한영 기계번역에 이용할 수 있도록 구조를 설계한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.3
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• pp.65-74
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• 2005

본 연구는 기계고장 시 대체경로를 고려한 새로운 유사계수와 주어진 기간 내 수요변화를 고려하여 제조 셀을 구성하는 방법론을 개발하는 것이다. 본 연구의 방법론은 2단계로 나누어진다. 1단계에서는 기계고장 시 이용 가능한 대체경로를 고려하여 새로운 유사계수를 제시하고 유전자 알고리즘을 활용하여 부품 군을 식별하는 것이다. 셀 응용의 성패를 좌우하는 주요한 요소들 중 하나는 수요변화에 대한 유연성으로 수요변화, 이용 가능한 기계의 능력 및 납기일에 따라 셀을 재구성하기가 쉬운 일은 아닐 것이다. 대부분의 논문에서 제안한 방법들은 단일기간에 대한 고정 수요를 고려하였으나, 수요의 변화로 인하여 셀 설계는 대부분의 연구에서 고려한 단일기간보다는 장기적인 면을 고려해야 할 것이다. 수요가 변화하는 상황에서 운용요소와 일정요소를 고려한 셀 구성에 대한 새로운 방법론을 2단계에 소개한다.

• Korean Educational Research Journal
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• v.43 no.1
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• pp.183-213
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• 2022

The purpose of this study is to examine the implications of Deleuze and Guattari's Machinism and Pedagogy of Assemblages. A slow, empirical process offered by Deleuze and Guattari is possible only if they experience a repetition of the duration in time. The identity of this world, a combination of potential and reality, is expressed as a machine. The identity of the 'machine' is the generation. The identity of the information society that exists everywhere in the cloud and unconsciously collects big data is also the information society. The information society is at risk of leaning toward a society in which individual desires are managed prior to the manifestation of a self-reliance a machine consisting of unmarked and mechanical arrangements. Social science based on the theory of layout shares the characteristics of repetition patterns, coexistence of linguistic and materiality, attention to boundary and negation to total whole. The pedagogy of layout, in which the collective pattern is structurally deformed in time, conforms to the original problem consciousness of Deleuze and Guattari, slow and empirical education. In addition, the work of examining the materiality and expression of the education-machine will contribute to the establishment of a new learning theory, an educational theory in the era of trans-human.

• (The)Study of the Eastern Classic
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• no.37
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• pp.345-375
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• 2009

In relation to body conception, the introduction of western medicine to Joseon Korea started off some points in disputes: the one was whether the western anatomy was positive or not, the other was whether the cognition was ruled by heart or brain. In the long run of these disputes, that who had clarified the change of body conception was Choi Han Kee. His new conception of body was characterized as follow: on the one hand, it emphasized the mechanical conception of body; on the other hand, it emphasized the cognitive ability of body. But that his conception of body had obscure points: that is, its mechanical conception was intervened by chi(神氣), and his doctrine of cognition searched for the origin of cognition in balance of chi of the body. He had set up this conception of body by the combination of western medicine and chi, but the combination did not seem to be perfect. This point had appeared again in his conception of physics that he thought the basis of medicine. He had pursed the combination of chemical element and chi, but it could not be accomplished successfully unless he had abandoned the organicist conception of chi. In conclusion, his new conception of body was not free from the suspicion of a incomplete tentative construction.

• Cartoon and Animation Studies
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• s.30
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• pp.27-57
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• 2013

Animation which appeared with films in the late 19th century was a medium which came on obtaining nourishment from art historical style of modernism. However, the relation establishment between animation and modernism has been focused mainly on animation shapes, namely painted images. This sprang from explaining the relationship between animation and paintings, and for this reason, discussions of movements in animation were understood in tradition of chromophotograph of Muybridge and Jules Marey, or some characteristics owned by the live-action film. However, movements of animation were essentially different from the indexical sign of films or photogram, and objects of reproduction were different between them. Movements reproduced by animation are not ordinary movements, but expressions of or compressed movements and considerably systematic movements. As a result, these movements are far from reproduction of live-action film photogram. Rather, the logic of movements reproduced by animation comes near to controlling their motion scopes, time, distance etc. after dividing each part of the body. This is concluded in a standpoint of modern mechanism which is represented by Descartes and La Mettrie who tried to understand human body as a exchangeable machine. Design of modern mechanism ranging from modern society to industrial society and the age of modernism came to lead to analysis of physical motions of modern industrial society called composition of efficient movements understanding them as the law of nature rather than movements as nature. In the late 19th century, Taylor, F. W. and Gilbreth, Frank Bunker's studies of workers' working hours and 'motion study' were a way of constituting the frame of machine-human, which indicates that tradition of modern mechanism affected the entire modernism passing through industrial society. Further, we can see that motion studies conducted by them have almost similar characteristics to action analysis to study animation later in the name of 'timing'.

• Archives of design research
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• v.11 no.2
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• pp.167-176
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• 1998

The modern contains many problems that cannot be solved by the reductionism based on western natual science. Up until now, it has been formed determinism over the basis of empiricism or rationalism, this can be called a mechanical view of the world. In the field of natural science since 20C, however, raised the standard of revolt in traditional determinism, plural theory headed up. Consequently, in the name of post modernity, western reason became to deconstruct, further, new theory came to need. This new paradigm also affected design, and was studied to overcome the limitation of modern design.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.922-925
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• 2019

기계 독해 기술은 기계가 주어진 비정형 문서 내에서 사용자의 질문을 이해하여 답변을 하는 기술로써, 챗봇이나 스마트 스피커 등, 사용자 질의응답 분야에서 핵심이 되는 기술 중 하나이다. 최근 딥러닝을 이용한 기학습 언어모델과 전이학습을 통해 사람의 기계 독해 능력을 뛰어넘는 방법론들이 제시되었다. 하지만 이러한 방식은 사람이 인식하는 질의응답 방법과 달리, 개체가 가지는 의미론(Semantic) 관점보다는 토큰 단위로 분리된 개체의 형태(Syntactic)와 등장하는 문맥(Context)에 의존해 기계 독해를 수행하였다. 본 논문에서는 기존의 높은 성능을 나타내던 기학습 언어모델에 대규모 지식그래프에 등장하는 개체 정보를 함께 학습함으로써, 의미학적 정보를 반영하는 방법을 제시한다. 본 논문이 제시하는 방법을 통해 기존 방법보다 기계 독해 분야에서 높은 성능향상 결과를 얻을 수 있었다.