• Journal of Korea Entertainment Industry Association
• /
• v.15 no.1
• /
• pp.39-51
• /
• 2021

This study is based on literature review and theoretical background, we will explore the interrelationship between music and meditation and meditation image production through music, discuss the relationship between theremin instruments and musical meditation. It also describes whether the musical direction through an emotional approach meets the purpose of music meditation, focusing on the creative process and analysis of the work. In this study, the emotional aspect of music was developed, centering on the auditory characteristics of music and the inner element of meditation, to find the relationship between each other, and to prepare a specific plan for music directing to induce the inner emotion of meditation. This study deduced a way to apply music meditation with an emotional approach centering on the melody through the use of the Theremin instrument, and tried to approach the inner meaning and methodology of the work academically. It is hoped that these studies will contribute to the development of music meditation programs and the expansion of music meditation.

• Journal of Korean Classical Literature and Education
• /
• no.33
• /
• pp.5-44
• /
• 2016

This study focuses on Ko woo-young (1939-2005), a Korean representative cartoonist. I analyzed his work Nolbudyeon (1988), which is a retelling of Heungbu and Nolbu, a traditional Korean story. I consider Ko woo-young a creative observer who has popularized his perspective in modern society. His work is a good example of how a traditional folktale can be made relevant in modern society. I used three methods of adaptation to differentiate Nolbudyeon from Heungbu story: construction of events, characterizing, and space-time background. First, to aid character development, Nolbudyeon includes a prologue that focuses on conflicts between brothers with different personalities. At the same time, the ambiguous ending could be a response to Heungbu story, which has a didactic theme. Second, I found that the new characters, Nolsun and Yeonsaengwon, enhanced the differences between Heungbu and Nolbu by playing the role of mediators. Also, in Nolbudyeon, both Heungbu and Nolbu had positive as well as negative elements, in contrast with the original story's traditional point of view on good and evil. Finally, by exploring the space-time of Nolbudyeon, we can see that its world is combined with the contemporary world. In other words, Nolbu and Heungbu, though outwardly traditional, have a modern outlook. Therefore, readers can recognize that Nolbudyeon is a metaphor for modern life rather than just an old story.

• Journal of Intelligence and Information Systems
• /
• v.21 no.2
• /
• pp.69-92
• /
• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.

• The Journal of the Korea Contents Association
• /
• v.21 no.12
• /
• pp.728-737
• /
• 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 Korean Society of Archives and Records Management
• /
• v.23 no.2
• /
• pp.49-67
• /
• 2023

In recent years, the film industry in South Korea has experienced a period of prosperity, evidenced by the numerous awards won at major international film festivals. Furthermore, growing global interest in K-content and the expansion of the OTT industry following the COVID-19 pandemic are providing favorable conditions for the development of the domestic film industry. Sound effects play a crucial role in conveying the atmosphere and emotions of a film, making them an essential element of film production. In response, the Jeonju IT & CT Industry Promotion Agency has been promoting the development of Korean-style sound effects since 2013. Furthermore, the agency launched an online service called the "K-Sound Library," a sound effect archive, in 2021. However, the service has not been widely utilized because of issues with the database's construction and the system's problems. Therefore, this study aims to identify the K-Sound Library's problems through interviews with sound effects specialists about the online service of the first sound effect archive in South Korea. Based on the interviews and analyses of foreign cases, the study suggests ways to improve the search services' usability and the sound effects classification system.