• (The) Research of the performance art and culture
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• no.19
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• pp.191-220
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• 2009

The aesthetics of Korean pantomimic mask-dance-drama is studied in this thesis. The scripts of the pantomimic mask-dance-drama were recorded generally, explanatorily and interpretively. The emotion and psychology are expressed by the look and body language. The mimic expression of the pantomimic mask-dance-drama was analyzed intensively. The speech drama is richer and deeper than the pantomimic mask-dance-drama at the aspect of the power of expression.

• Trans-
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• v.16
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• pp.107-133
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• 2024

Narratives are fundamental to human cognition and social culture, serving as the primary means by which individuals and societies construct meaning, share experiences, and convey cultural and moral values. The field of artificial intelligence, which seeks to mimic human thought and behavior, has long studied story generation and story understanding, and today's Large Language Models are demonstrating remarkable narrative capabilities based on advances in natural language processing. This situation raises a variety of changes and new issues, but a comprehensive discussion of them is hard to find. This paper aims to provide a holistic view of the current state and future changes by exploring the intersections and interactions of human and AI narrative intelligence. This paper begins with a review of multidisciplinary research on the intrinsic relationship between humans and narrative, represented by the term Homo narrans, and then provide a historical overview of how narrative has been studied in the field of AI. This paper then explore the possibilities and limitations of narrative intelligence as revealed by today's Large Language Models, and present three philosophical challenges for understanding the implications of AI with narrative intelligence.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.168-168
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• 2017

ICT 융합 스마트팜 내의 환경계측 센서, 영상 및 사양관리 시스템의 증가에도 불구하고 이들 장비에서 확보되는 데이터를 적절히 유효하게 활용하는 기술이 미흡한 실정이다. 돈사의 경우 가축의 복지수준, 성장 변화를 실시간으로 모니터링 및 예측할 수 있는 데이터 분석 및 모델링 기술 확보가 필요하다. 이를 위해선 가축의 생리적 변화 및 행동적 변화를 조기에 감지하고 가축의 복지수준을 실시간으로 감시하고 분석 및 예측 기술이 필요한데 이를 위한 대표적인 정보 통신 공학적 접근법 중에 하나가 Data mining 이다. Data mining에 대한 연구 수행에 필요한 다양한 소프트웨어 중에서 Open source로 제공이 되는 4가지 도구를 비교 분석하였다. 스마트 돈사 내에서 열환경 모델링을 목표로 한 데이터 분석에서 고려해야할 요인으로 데이터 분석 알고리즘 도출 시간, 시각화 기능, 타 라이브러리와 연계 기능 등을 중점 적으로 분석하였다. 선정된 4가지 분석 도구는 1) R(https://cran.r-project.org), 2) OpenCV(http://opencv.org), 3) OpenNN (http://www.opennn.net), 4) Orange(http://orange.biolab.si) 이다. 비교 분석을 수행한 운영체제는 Linux-Ubuntu 16.04.4 LTS(X64)이며, CPU의 클럭속도는 3.6 Ghz, 메모리는 64 Gb를 설치하였다. 개발언어 측면에서 살펴보면 1) R 스크립트, 2) C/C++, Python, Java, 3) C++, 4) C/C++, Python, Cython을 지원하여 C/C++ 언어와 Python 개발 언어가 상대적으로 유리하였다. 데이터 분석 알고리즘의 경우 소스코드 범위에서 라이브러리를 제공하는 경우 Cross-Platform 개발이 가능하여 여러 운영체제에서 개발한 결과를 별도의 Porting 과정을 거치지 않고 사용할 수 있었다. 빌트인 라이브러리 경우 순서대로 R 의 경우 가장 많은 수의 Data mining 알고리즘을 제공하고 있다. 이는 R 운영 환경 자체가 개방형으로 되어 있어 온라인에서 추가되는 새로운 라이브러리를 클라우드를 통하여 공유하기 때문인 것으로 판단되었다. OpenCV의 경우 영상 처리에 강점이 있었으며, OpenNN은 신경망학습과 관련된 라이브러리를 소스코드 레벨에서 공개한 것이 강점이라 할 수 있다. Orage의 경우 라이브러리 집합을 제공하는 것에 중점을 둔 다른 패키지와 달리 시각화 기능 및 망 구성 등 사용자 인터페이스를 통합하여 운영한 것이 강점이라 할 수 있다. 열환경 모델링에 요구되는 시간 복잡도에 대응하기 위한 부가 정보 처리 기술에 대한 연구를 수행하여 스마트팜 열환경 모델링을 실시간으로 구현할 수 있는 방안 연구를 수행할 것이다.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.113-126
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• 2015

This study intends to investigate the features and the difference between traditional instruction and flipped learning through a comparative analysis of verbal interaction on those learning method. The videos of traditional instruction and flipped learning of 5th graders social class were recorded and transcribed, which were analyzed in Flanders verbal interaction model. The results were as follows: First, the flipped learning is composed of students' learning activity and a teacher's statement properly, while the traditional instruction consists of a teacher's statement mostly. Second, the traditional instruction tends to be directive classes that full of dominant, despotic, restrictive communication of teacher oriented. In contrast, the flipped learning is inclined to be nondirective with integrated, democratic, comprehensive, permissive communication of students oriented. Third, the flipped learning emphasizes students' activities and statement and reduces delivery of knowledge, meanwhile, the traditional instruction stresses delivery of content that the teacher centrally located. Lastly, the type of verbal interaction in traditional instruction is a one-way communication, students responding simply in teacher's lectures and questions. On the other hand, in flipped learning lessons, more interactive communication occurs, teachers complimenting students and accepting their comments.

• Archives of design research
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• v.17 no.2
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• pp.451-462
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• 2004

The range of graphic design has expanded very widely as the digital era emerged, and many new areas of film design, including film, DVD, interactive TV, mobile and DMB, began to require the work of designers. This could be considered as an application as well as a case of digital film design as it has more developed new media environment as basis. The change in the expression techniques of film language is inevitable since major consumers of new media are the younger generation. The method of creating and distributing visual communication work is not standing still anymore. It has been diversified through dynamic movements and changes resulting from interaction. The major objective of this study is to find out and suggest the directions that film and digital media graduate school education of future by researching and analyzing how the nature of design, as an academic subject that keeps on changing and developing, is evolving in the new media environment. For this purpose, the methods of appropriate education system in higher design education, which are derived from case studies and previous studies on education system, are evaluated by examining the consumers. This study aims at finding the most effective training method in film and digital media design, and by integrating current design education with digital film design education establish a better fit education system that complies with the demands of today's society. It will suggest how an educational institute should see ahead of the time and provide what the society will demand in the future.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.283-290
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• 2012

This study explored effect of shotsize and concern on the elector's attitude. For this study, 2 different styles of TV address moving pictures were produced on the basis of TV address text of district leader candidate. They were exposed to two different groups composed of university students, and the degree of favor, confidence and support was measured and analysed. The result of this study showed that the group exposed to bust shot was more favorable and supportive than the group exposed to waist shot. However, interaction effect between shot size and concern was not found. The meaning of this study can be found in the fact that effect of shot size as an element of non-verbal communication on the politician's image was proved through experiment.

• Journal of radiological science and technology
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• v.29 no.3
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• pp.133-139
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• 2006

By using CR image pixel data, We examined the way how to calculate the MTF and digital characteristic curve. It can be changed to the text-file(Excel) from a pixel data which was printed with a digital x-ray equipment. In this place, We described the way how to figure out and correct the sharpness of a digital images of the MTF from FUJITA. Excel program was utilized to calculate from radiography of slit. Digital characteristic curve, Line Spread Function, Discrete Fourier Transform, Fast Fourier Transform digital specification curve, were indicated in regular sequence. A big advantage of this method, It can be understood easily and you can get results without costly program and without full knowledge of computer language. It shows many different values by using different correction methods. Therefore we need to be handy with appropriate correction method and we should try many experiments to get a precise MTF figures.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.11a
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• pp.181-185
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• 1998

Recently, research and developmental direction of communication system is concurrent adopting voice data and face image in speaking to provide more higher recognition rate then in the case of only voice data. Therefore, we present a method of lipreading in speech image sequence by using the 3-D facial shape model. The method use a feature information of the face image such as the opening-level of lip, the movement of jaw, and the projection height of lip. At first, we adjust the 3-D face model to speeching face image sequence. Then, to get a feature information we compute variance quantity from adjusted 3-D shape model of image sequence and use the variance quality of the adjusted 3-D model as recognition parameters. We use the intensity inclination values which obtaining from the variance in 3-D feature points as the separation of recognition units from the sequential image. After then, we use discrete HMM algorithm at recognition process, depending on multiple observation sequence which considers the variance of 3-D feature point fully. As a result of recognition experiment with the 8 Korean vowels and 2 Korean consonants, we have about 80% of recognition rate for the plosives and vowels.

• The Journal of Information Technology
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• v.3 no.2
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• pp.39-47
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• 2000

Among the compression methods of moving picture information, a motion estimation method is used to remove time-repeating. The Block Matching Algorithm in motion estimation methods is the commonest one. In recent days, it is required the more advanced high quality in many image processing fields, for example HDTV, etc. Therefore, we have to accomplish not by means of Partial Search Algorithm, but by means of Full Search Algorithm in Block Matching Algorithm. In this paper, it is suggested a structure that reduce total calculation quantity and size, because the structure using Bit Plane select and use only 3bit of 8bit luminance signal.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.3
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• pp.86-95
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• 2009

SIFT is an algorithm to extract vectors at pixels around keypoints, in which the pixel colors are very different from neighbors, such as vertices and edges of an object. The SIFT algorithm is being actively researched for various image processing applications including 3D image reconstructions and intelligent vision system for robots. In this paper, we implement a hardware to sift feature detection algorithm for real time processing in embedded systems. We estimate that the hardware implementation give a performance 25ms of $1,280{\times}960$ image and 5ms of $640{\times}480$ image at 100MHz. And the implemented hardware consumes 45,792 LUTs(85%) with Synplify 8.li synthesis tool.