• The Journal of the Korea Contents Association
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• 제5권2호
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• pp.137-145
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• 2005

This study is a model of research for the developing 3D character contents about facial expression as a sort of non-linguistic signs, focusing on an expression of emotion factors of a person. It contributes a framework for symbolic analysis about Human's emotions along with a general review of expression. The human face is the most complex and versatile of all species. For humans, the face is a ich and versatile instrument serving many different functions. It serves as a window to display one's own motivational state. This makes one's behavior more predictable and understandable to others and improves communication. The face can be used to supplement verbal communication. A prompt facial display can reveal the speaker's attitude about the information being conveyed. Alternatively, the face can be used to complement verbal communication, such as lifting of eyebrows to lend additional emphasis to stressed word. The facial expression plays a important role under the digital visual context. This study will present a frame of facial expression categories for effective manufacture of cartoon and animation that appeal to the visual emotion of the human.

• Proceedings of the Korean Information Science Society Conference
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (D)
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• pp.750-753
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• 2006

e-Learning 분야는 정부, 기업, 학교 등 많은 조직에서 교육을 위한 수단으로 사용되어지고 있다. 이러한 e-Learning은 독립적인 운영플렛폼의 개발부터 웹 기반의 코스웨어(Courseware)까지 발전해왔다. 코스웨어는 컴퓨터 전달 체제를 통하여 교수-학습 과정을 촉진시켜 명시된 교수 목표 하에 학습자의 지식과 기능의 바람직한 변화를 목적으로 설계 및 개발된 교육용 소프트웨어와 데이터라고 할 수 있다. 또한 컴퓨터 언어 및 저작도구(Authoring Tools)를 이용하여 각 과목별 교육내용을 음성, 그림, 애니메이션, 동영상 등의 다양한 형태로 제시될 수 있도록 저작된 프로그램으로 주로 눈으로 보고 귀로 들으면서 학습하는 유형이다. 현재 코스웨어에서 제공되는 정보는 학습에 대한 정보와 교수정보 그리고 Client의 학습 진행 상황 등을 제공한다. 하지만 학습에 연관된 다른 학습이나 학습에 관련된 교수들의 전공정보, 또한 학습에 관련된 어플리케이션 등을 검색하려 할 때는 하나하나 따로 검색을 해야 하는 어려움이 따른다. 본 논문에서는 이러한 문제점을 해결하기 위하여 학습에 대한 목적과 관련학습, 관련교수, 관련연구, 관련 어플리케이션 등의 연관성을 토픽맵(TopicMap)을 이용하여 학습에 대한 더 정확한 정보를 쉽게 검색할 수 있게 한다. Client가 찾으려는 토픽을 중심으로 연관된 토픽과 카테고리를 나열하여 수작업으로 인한 검색시간과 잘못된 키워드 검색을 해결하였다.

• Journal of Korean Society for Geospatial Information Science
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• 제10권1호
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• pp.19-26
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• 2002

To provide 3D GSIS data on the internet, 3D data structures need to be researched and applied for spatial analysis for subsurface modeling. As for GSIS software R&D trend the following things have pointed out : 3-dimensional geo-processing technologies, internet-based application system development, distributed processing technologies for large volume of spatial information, real-time geo-data processing methodologies, Among them research scope within Internet-based application system or Web-based GSIS generally contains core parts of software development such as Internet application, large volume of spatial database handling, real-time spatial data processing, spatial data transfer and transformation, and volumetric display of processing results. This study shows the method of providing 3D GSIS on the internet using VRML model, which are made of DEM data, draped aerial photo, and VRML script programming. And it is also studied that offering 3D GSIS engine on the internet and precise texture mapping using satellite image and aerial photos.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• 제23권4호
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• pp.17-22
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• 2023

This study analyzed the genres of popular character web dramas and studied the development of story recommendations through the language model GPT. As a result of the study, it was confirmed that similar cliches are repeated in web dramas. In this study, a common story structure (cliché) was analyzed and a typical story structure was standardized and presented so that even unskilled video producers can easily produce character web dramas. For analysis, clichés of web dramas in the school romance genre, which is the most popular genre among teenagers, were listed in order of success. In addition, this study studied the story recommendation mechanism for users by learning the clichés that were analyzed and cataloged in GPT. Through this study, it is expected to accelerate the production of various contents as well as popular popularity through the acceptance of various databases from the standpoint of database consumption theory of web contents.

• Journal of Digital Contents Society
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• 제13권3호
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• pp.393-399
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• 2012

New and creative skills must be developed, and adapted into a lesson, to motivate learners to acquire a second language easily and enjoyment, Multimedia tools which are of interest to learners, such as; smart phones, computers, and notebooks with wireless internet compatability, will provide learners opportunities to study, and do their work practically anywhere and anytime. Recently, podcasts, which are a type of digital media, consisting of a series of audio episodes or video files, subscribed to and downloaded through web syndication, or streamed online to a computer or mobile device, are used to facilitate ESL (English as a Second Language) learning. Development of a variety of teaching methods, using multimedia tools, is needed. There are advantages and disadvantages to using a variety of multimedia tools. The current research aims to study its characteristics and application, in order to maximize their effective use, in English education. The current study suggests a ubiquitous learning environment using multimedia content tools, internet media, video teleconferencing, cyber-learning, and one-to-one videos used in conjunction with, or as a digital textbook for the English lesson. This study also investigates future educational changes, using state-of-the-art equipment for the self-learning experience, and will present a new direction in English education, through a variety of instructional devices and a marginalized class system model.

• Journal of Digital Convergence
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• 제17권9호
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• pp.23-30
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• 2019

The development of content for language education using AR/VR technology is a necessary task to be pursued in line with commercialization of 5G. Research on service platform for systematic management and service is currently being carried out by global companies competitively, The unique language education service model for unique areas of culture has the right to pursue R & D jointly with Korea and China. In this study, we applied the developed "Korean language education service platform for Chinese people based on e-learning" to improve the acceptance of AR/VR contents and applied AR/VR technology to video-based language education contents. And to present a new paradigm of language education. Contents development is to develop AR-based vocabulary learning services, develop experiential learning contents for VR-based step-by-step situations, and gradually develop contents to enable beginner / intermediate / advanced language education services. The service platform enables management of learning management and learning contents, and complies with metadata attributes to complete a platform capable of accommodating large capacity AR/VR contents. In the future, systematic research will be carried out in order to develop as a portal for educational services through development of various contents using mixed reality technology.

• The Journal of the Korea Contents Association
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• 제22권7호
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• pp.524-539
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• 2022

With the advent of generative artificial intelligence technology, it became possible to create a virtual human, and produce a lecture video only with textual information. It is expected that the virtual human will enhance the efficient production of educational contents and the student's entertainment experience and satisfaction. However, there have been still few studies that have demonstrated the process of how virtual human technology reaches students' satisfaction. Therefore, the purpose of this study is to empirically examine whether the human likeness, which is the main characteristic of a virtual human based on Uncanny Valley theory, affects human experience and satisfaction. In particular, human likeness of the Uncanny Valley theory was subdivided into human likeness in the visual and verbal dimensions, and the process of reaching satisfaction was understood based on the experience economy model. In particular, human similarity in Uncanny Valley theory was classified as similarity in the visual and language levels, and the process of reaching satisfaction based on the experiential economic model was analyzed with a partial least squares structure model equation (PLS-SEM). The survey was conducted online for a panel of office workers at a specialized research institution in China. The results indicate that both the visual and verbal human likeness had a positive effect on experience economy factors (education, entertainment, esthetic, escape), and then these experiential factors had a significant effect on satisfaction. The results also provide some suggestions to consider when designing educational contents by virtual human.

• Journal of Korea Entertainment Industry Association
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• 제13권1호
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• pp.47-57
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• 2019

The end of the 20th century, along with the popularity of new media technology and the rise of new media art, dance as a visual art, and body language art, has the features of more and more rich and changeful. In today's Internet booming new media environment, many different fields, such as film and theater, computer technology, digital art, etc.) with its commonness and characteristics of all kinds of interaction between the creation, produced a new interdisciplinary research with theoretical model. When cross-border interactions between various areas become a hot topic at the same time, the traditional form of dance performances are also seeking new breakthrough. Canada's famous social psychologist McLuhan believes that modern is retrieving lost over a long period of time "overall" feel, return to a feeling of equilibrium. The audience how to have the characteristics of focus on details of visual art back to the "overall" feel worthy of study. At the same time, the new media in today's digital dance teaching in colleges and universities dancing education remains to be perfect and popular, if continue to use the precept of the traditional teaching way blindly, so it is difficult to get from the development of the current domestic dance overall demand. In this paper, the main body is divided into two parts, the first chapter is the study of image device dance performance art, the second chapter is the research of digital dance teaching application system, thus further perspective of media technology to explore dance art crossover practice under the new media environment and mode of transmission.

• The Journal of the Korea Contents Association
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• 제21권12호
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• pp.728-737
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• 2021

In the meantime, broadcasting CG has gone through the process of dismantling, changing, and distorting, while broadcasting CG in broadcasting programs utilizes the expanded background of 'temporality' and 'formality'. This is to create an audiovisual language that appeals to human synesthesia by expressing the meaning to be conveyed in three dimensions. Broadcast CG goes beyond simple instructional and informational broadcast graphic operation, and increases the pure aesthetic value and sensibility of the video considering readability and formativeness, and through this, the audiovisual information perfection of the broadcast program is derived and acts as a very important factor. Therefore, this paper examines the results of broadcast CG production and utilization methods at existing local broadcasters, and identifies the limitations of local broadcasters' CG production and utilization through case analysis for each broadcast program type. We want to derive a model that is a compromise line. In addition, I would like to suggest a plan that can be applied more actively and practically to local broadcasting programs. In order to solve this problem, this study first examines "Analysis of cases of use of broadcasting CG production in broadcasting programs" and then "more efficient broadcasting CG production techniques by identifying problems in broadcasting CG production methods and utilization of local broadcasters" and how to actively use it". In addition, the results of this study are expected to contribute to the establishment of a new role and practical broadcast CG production model for broadcast graphic designers in charge of broadcast CG production and the technical perspective of broadcast program production by local broadcasters.

• Journal of Internet Computing and Services
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• 제23권5호
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• pp.145-154
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• 2022

Automatic Target Recognition (ATR) technology is emerging as a core technology of Future Combat Systems (FCS). Conventional ATR is performed based on IMINT (image information) collected from the SAR sensor, and various image-based deep learning models are used. However, with the development of IT and sensing technology, even though data/information related to ATR is expanding to HUMINT (human information) and SIGINT (signal information), ATR still contains image oriented IMINT data only is being used. In complex and diversified battlefield situations, it is difficult to guarantee high-level ATR accuracy and generalization performance with image data alone. Therefore, we propose a knowledge graph-based ATR method that can utilize image and text data simultaneously in this paper. The main idea of the knowledge graph and deep model-based ATR method is to convert the ATR image and text into graphs according to the characteristics of each data, align it to the knowledge graph, and connect the heterogeneous ATR data through the knowledge graph. In order to convert the ATR image into a graph, an object-tag graph consisting of object tags as nodes is generated from the image by using the pre-trained image object recognition model and the vocabulary of the knowledge graph. On the other hand, the ATR text uses the pre-trained language model, TF-IDF, co-occurrence word graph, and the vocabulary of knowledge graph to generate a word graph composed of nodes with key vocabulary for the ATR. The generated two types of graphs are connected to the knowledge graph using the entity alignment model for improvement of the ATR performance from images and texts. To prove the superiority of the proposed method, 227 documents from web documents and 61,714 RDF triples from dbpedia were collected, and comparison experiments were performed on precision, recall, and f1-score in a perspective of the entity alignment..