• (The) Research of the performance art and culture
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• no.18
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• pp.103-136
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• 2009

This study analyzed the aspect of action and mean in Japsaeknorum. Secondly, this study contrasted Japsaeknorum with Mime. Thirdly, the characteristics of gestures in Japsaeknorum were analyzed. The results, obtained by those steps are subordination, hostility, cultural control, the comic characteristics by situation, functional role, the sublation of competition and conflict, the variation of subordination and deviation, the end of subordination and deviation. The korean mime is a heritage of Western culture. But in the history of korean mime, it make every effort to seek the korean form of mime. Therefore, this study is very helpful to seek such a way.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.261-282
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• 2024

This study proposed and evaluated electroencephalography (EEG)-based and eye-tracking-based methods to determine relevance by utilizing users' implicit relevance feedback while navigating content in a digital library. For this, EEG/eye-tracking experiments were conducted on 32 participants using video, image, and text data. To assess the usefulness of the proposed methods, deep learning-based artificial intelligence (AI) techniques were used as a competitive benchmark. The evaluation results showed that EEG component-based methods (av_P600 and f_P3b components) demonstrated high classification accuracy in selecting relevant videos and images (faces/emotions). In contrast, AI-based methods, specifically object recognition and natural language processing, showed high classification accuracy for selecting images (objects) and texts (newspaper articles). Finally, guidelines for implementing a digital library interface based on EEG, eye-tracking, and artificial intelligence technologies have been proposed. Specifically, a system model based on implicit relevance feedback has been presented. Moreover, to enhance classification accuracy, methods suitable for each media type have been suggested, including EEG-based, eye-tracking-based, and AI-based approaches.

• Journal of Internet Computing and Services
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• v.23 no.5
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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..

• Journal of Popular Narrative
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• v.25 no.1
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• pp.393-425
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• 2019

This paper focuses on Alain Resnais's representative works (1955), (1959), and (1963), and analyzes how he implements a representation of memory though cinematic apparatus. These three films deal with horrific memories that seem impossible to reproduce aesthetically such as the Holocaust, the Hiroshima Atomic Bomb, World War II, and the war in Algeria. The reappearance of events that stripped humans of even their minimum dignity can naturally be associated with ethical issues. These events can never be reproduced because they cannot be explained in the human language. It is also impossible to reproduce in a way that doesn't invade other peoples' sufferings, nor displays the pain of others as spectacles. Alain Resnais was a director who realized that if factual representation was not possible from the beginning, truthfulness would have to be approached through cinematic form. Therefore, he tries to overcome these problems through cinematic forms. First, he shifts to action films to avoid the obscenity of documentary. shows the records of camps captured by German forces in the past, while shows the pain of others in a fictional form of representation. Next, he describes how the trauma affects the identity of the main character through a flashback in , but also shows a main character who is experiencing trauma without a flashback in Flashbacks have the effect of showing the effects of trauma on the main character, but at the same time they involve the obscenity of enjoying the suffering of others. Nonetheless, the absence of flashbacks highlights the impossibility of representation. This is because it is not silent in the impossibility of representation but is constantly approaching. The attitude that repeatedly circles around impossibility is an ethical form that maximizes the impossibility of representation. In conclusion, this is the ethics of representation that Alain Resnais showed in his films.