• Cartoon and Animation Studies
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• s.26
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• pp.79-108
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• 2012

This thesis is on the purpose of seeking for the possibility of a mechanism in interpreting, analyzing and criticizing cartoons which are applied to the concept of "the gaze" based on "the otherness of vision", which states a pluralistic visual world. It proves that cartoons are in line with other art works that are the subject to "lack and desire"; the gaze, greets reality and acts as an important criterion of analyzing and criticizing the trend in contemporary art, in which the cartoon expresses the gaze in harmony within its work of art. In this thesis, the artist, Kang Doh-ha structuralized ambiguous and difficult forms of art as he has cumulated experimental minds by working in an indie cartoon plane for a long period of time. Among his works of art, he identified the "invisible world" through his piece "Kubrik". Therefore, he represented: a metaphor and a metonymy, an ambiguously situational expression, an intentional and emotional error, the structure of individuality and integration, and finally tension beyond its meaning through use of 'the gaze' that is both the cause and the subject of a desire in the visible world which Lacan academized when he interpreted and analyzed "Kubrik". The concept of the gaze can be used in a variety of ways to display one another's presence in relation each character, revealing a spot of lack by staring back at readers or audiences and furthermore, to analyze and criticize the hidden side of the art piece by critics. The most important details are the artist's gaze, which is seen in the eyes of the analysis and also his or her criticism of the cartoon, which functions as a metaphoric screen in which the subject himself or herself betrays the law of desires thus enabling the violent and cruel reality to be masked and indulged in plays. This will serve as an element that will lead into an art as well as control the degradation to just a piece of enjoyment with the cartoon remaining only within the visual world.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.81-96
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• 2013

Video information retrieval has become a very important issue because of the explosive increase in video data from Web content development. Meanwhile, content-based video analysis using visual features has been the main source for video information retrieval and browsing. Content in video can be represented with content-based analysis techniques, which can extract various features from audio-visual data such as frames, shots, colors, texture, or shape. Moreover, similarity between videos can be measured through content-based analysis. However, a movie that is one of typical types of video data is organized by story as well as audio-visual data. This causes a semantic gap between significant information recognized by people and information resulting from content-based analysis, when content-based video analysis using only audio-visual data of low level is applied to information retrieval of movie. The reason for this semantic gap is that the story line for a movie is high level information, with relationships in the content that changes as the movie progresses. Information retrieval related to the story line of a movie cannot be executed by only content-based analysis techniques. A formal model is needed, which can determine relationships among movie contents, or track meaning changes, in order to accurately retrieve the story information. Recently, story-based video analysis techniques have emerged using a social network concept for story information retrieval. These approaches represent a story by using the relationships between characters in a movie, but these approaches have problems. First, they do not express dynamic changes in relationships between characters according to story development. Second, they miss profound information, such as emotions indicating the identities and psychological states of the characters. Emotion is essential to understanding a character's motivation, conflict, and resolution. Third, they do not take account of events and background that contribute to the story. As a result, this paper reviews the importance and weaknesses of previous video analysis methods ranging from content-based approaches to story analysis based on social network. Also, we suggest necessary elements, such as character, background, and events, based on narrative structures introduced in the literature. We extract characters' emotional words from the script of the movie Pretty Woman by using the hierarchical attribute of WordNet, which is an extensive English thesaurus. WordNet offers relationships between words (e.g., synonyms, hypernyms, hyponyms, antonyms). We present a method to visualize the emotional pattern of a character over time. Second, a character's inner nature must be predetermined in order to model a character arc that can depict the character's growth and development. To this end, we analyze the amount of the character's dialogue in the script and track the character's inner nature using social network concepts, such as in-degree (incoming links) and out-degree (outgoing links). Additionally, we propose a method that can track a character's inner nature by tracing indices such as degree, in-degree, and out-degree of the character network in a movie through its progression. Finally, the spatial background where characters meet and where events take place is an important element in the story. We take advantage of the movie script to extracting significant spatial background and suggest a scene map describing spatial arrangements and distances in the movie. Important places where main characters first meet or where they stay during long periods of time can be extracted through this scene map. In view of the aforementioned three elements (character, event, background), we extract a variety of information related to the story and evaluate the performance of the proposed method. We can track story information extracted over time and detect a change in the character's emotion or inner nature, spatial movement, and conflicts and resolutions in the story.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.2
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• pp.13-22
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• 2015

The study discovers mood state and enhancement effect of users by scenery of location targeting Seonyudo Park; where is widely recognized as the representative recycling environmental park as well as theme experience space and scenery admiration in Korea. Also, the influence level of park and thematic space upon wellness was researched for future park design and its base data. As a result of semantic differential(SD), the most items showed low point in positive way when people admiring the scenery in Seonyudo. Also, a subject experienced differently depending on each inside scenery element of the park. As a result of profile of mood states(POMS), a tension and anxiety points were shown in order of Urban (7.78) > Water Purification Basin(3.33) > Gardens of Water Plants(2.11) > Garden of Green Pillar(2.00) > Garden of Time (0.89). The depression points were shown in order of Urban(4.94) > Water Purification Basin(3.50) > Garden of Green Pillar(2.94) > Garden of Time(1.61) > Gardens of Water Plants(1.38). The anger and hostility points were shown in order of Urban(4.22) > Water Purification Basin(3.33) > Garden of Green Pillar(2.22) > Garden of Time(1.39) > Gardens of Water Plants(1.11). The fatigue points were shown in order of Urban(6.5) > Water Purification Basin(3.39) > Garden of Green Pillar(2.78) > Garden of Time(2.28) > Gardens of Water Plants (2.06). The vigor points were shown in order of Gardens of Water Plants(11.39) > Garden of Time(11.00) > Garden of Green Pillar(8.39) > Water Purification Basin(7.77) > Urban(5.28). Also, as a result of statistics analysis, difference value of scenery type is significant. The result of total emotional disturbance(TED) was analyzed in order of Urban(24.5) > Water Purification Basin(9.5) > Garden of Green Pillar(4.67) > Garden of Time(-1.39) > Gardens of Water Plants(-1.22).

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.33-56
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• 2016

Many researchers have focused on developing bankruptcy prediction models using modeling techniques, such as statistical methods including multiple discriminant analysis (MDA) and logit analysis or artificial intelligence techniques containing artificial neural networks (ANN), decision trees, and support vector machines (SVM), to secure enhanced performance. Most of the bankruptcy prediction models in academic studies have used financial ratios as main input variables. The bankruptcy of firms is associated with firm's financial states and the external economic situation. However, the inclusion of qualitative information, such as the economic atmosphere, has not been actively discussed despite the fact that exploiting only financial ratios has some drawbacks. Accounting information, such as financial ratios, is based on past data, and it is usually determined one year before bankruptcy. Thus, a time lag exists between the point of closing financial statements and the point of credit evaluation. In addition, financial ratios do not contain environmental factors, such as external economic situations. Therefore, using only financial ratios may be insufficient in constructing a bankruptcy prediction model, because they essentially reflect past corporate internal accounting information while neglecting recent information. Thus, qualitative information must be added to the conventional bankruptcy prediction model to supplement accounting information. Due to the lack of an analytic mechanism for obtaining and processing qualitative information from various information sources, previous studies have only used qualitative information. However, recently, big data analytics, such as text mining techniques, have been drawing much attention in academia and industry, with an increasing amount of unstructured text data available on the web. A few previous studies have sought to adopt big data analytics in business prediction modeling. Nevertheless, the use of qualitative information on the web for business prediction modeling is still deemed to be in the primary stage, restricted to limited applications, such as stock prediction and movie revenue prediction applications. Thus, it is necessary to apply big data analytics techniques, such as text mining, to various business prediction problems, including credit risk evaluation. Analytic methods are required for processing qualitative information represented in unstructured text form due to the complexity of managing and processing unstructured text data. This study proposes a bankruptcy prediction model for Korean small- and medium-sized construction firms using both quantitative information, such as financial ratios, and qualitative information acquired from economic news articles. The performance of the proposed method depends on how well information types are transformed from qualitative into quantitative information that is suitable for incorporating into the bankruptcy prediction model. We employ big data analytics techniques, especially text mining, as a mechanism for processing qualitative information. The sentiment index is provided at the industry level by extracting from a large amount of text data to quantify the external economic atmosphere represented in the media. The proposed method involves keyword-based sentiment analysis using a domain-specific sentiment lexicon to extract sentiment from economic news articles. The generated sentiment lexicon is designed to represent sentiment for the construction business by considering the relationship between the occurring term and the actual situation with respect to the economic condition of the industry rather than the inherent semantics of the term. The experimental results proved that incorporating qualitative information based on big data analytics into the traditional bankruptcy prediction model based on accounting information is effective for enhancing the predictive performance. The sentiment variable extracted from economic news articles had an impact on corporate bankruptcy. In particular, a negative sentiment variable improved the accuracy of corporate bankruptcy prediction because the corporate bankruptcy of construction firms is sensitive to poor economic conditions. The bankruptcy prediction model using qualitative information based on big data analytics contributes to the field, in that it reflects not only relatively recent information but also environmental factors, such as external economic conditions.

• Korean Journal of Heritage: History & Science
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• v.40
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• pp.271-306
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• 2007

One of the distinguishing features of late Jeosun's Hanshi (poem in Chinese) is the numerous creation of Yeonjachyung Keesokshi (serial poem on folklore) which describes the folk manner and folk way of life in detail. Keesokshi's subject matter is the folklike in general including local features, geography, climate, local production, humanity, social conducts, and daily labor for living as well. By its material characteristics, Keesokshi reflects detailed life conditions of the society members in each levels, and represents the local customs as well as the folk emotions. Among the several kinds of Keesokshis, a Sesi Keesokshi focuses only in reciting the folk customs on each seasonal festival days, and the great numbers of such serial poems appear during the latter part of the Jeosun Dynasty. Its overall background is the transition of artistic trend which came after many social changes such as expansion of realism, uprising national consciousness, shaken status system, and the rising of 'Jeosunsi' motives in the Hansi history. Moreover, each writer's various experiences and their interests in the reality and critical minds of common people contributed a crucial roll in creation of Sesi Keesokshi. 178 of the 584 remaining serial Sesi Keesokshi are written particularly about the folk customs in The Grand Full Moon Festival (the first full moon of a year by the lunar calendar). These Hanshis widely reflect the common ways of living by directly accepting the seasonal folk customs as the subject matters. Especially, close to the reality, these poems positively express the people's simple vigorous lives and create unrestrained lively image by describing the joys and sorrows of the folk existence along with their craving. Also, it is notable to have customs such as 'Shil-Ssa-Um' and 'No-gu-ban-kong-yang' as subjects for its rarity in other literatures.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.27-40
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• 2020

The marathon has long been established as a representative lifestyle for all ages. With the recent expansion of the Work and Life Balance trend across the society, marathon with a relatively low barrier to entry is gaining popularity among young people in their 20s and 30s. By analyzing the issues and related words of the marathon event, we will analyze the spottainment elements of the marathon event that is popular among young people through keywords, and suggest a development plan for the differentiated event. In order to analyze keywords and related words, blogs, cafes and news provided by Naver and Daum were selected as analysis channels, and 'JTBC Marathon' and 'Culture' were extracted as key words for data search. The data analysis period was limited to a three-month period from August 13, 2019 to November 13, 2019, when the application for participation in the 2019 JTBC Marathon was started. For data collection and analysis, frequency and matrix data were extracted through social matrix program Textom. In addition, the degree of the relationship was quantified by analyzing the connection structure and the centrality of the degree of connection between the words. Although the marathon is a personal movement, young people share a common denominator of "running" and form a new cultural group called "running crew" with other young people. Through this, it was found that a marathon competition culture was formed as a festival venue where people could train together, participate together, and escape from the image of a marathon run alone and fight with themselves.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.319-331
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• 2020

This study investigated the meaning of absolute music of the first movement of Brahms' symphony No. 1, which was used as film music in the films "Tetro" and "Savages" and interpreted the meaning of this music used in these two films. Therefore, the purpose of this study is to explore the characteristics that classical music can be interpreted ambiguously in films. In particular, it was examined whether film music could be interpreted in a new meaning rather than a program music. The first movement of Brahms' symphony No. 1 is in a sonata form and has the characteristics of a chromatic grammar of the romanticism. In "Tetro", the irony about the value connection between this music and the characters of the film, the composition process of this music and the historicity that appeared in the character story of the film presented important. On the other hand, in "Savages", the chromatic grammar of this music expresses the emotional meaning of the characters in the film and the atmosphere of the event. This can be said to be the role of program music. In particular, the scene in which this music is used at the end of "Tetro" shows an ambiguous characteristic that can interpret a piece of music in different meanings depending on which of the two characters appearing in the film interprets the music from the perspective of the character. And the fact that Brahms spent 21 years to complete this music and that Tetro, the main character of the film, spent about 10 years before going through theatrical scenario and submitting it to the festival in the film, coincide with each other in terms of historicality. This gives the meaning of understanding film music from a new point of view, not from the point of view of absolute music or program music. In addition, this musical setting made the music recognized as an essential element of the film and as an irreplaceable auditory theme. When classical music meets other art such as film, this ambiguity Characteristics of music will have a great influence on the new perception of classical music.

• Journal of Popular Narrative
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• v.25 no.2
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• pp.247-275
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• 2019

We hope that more diverse interests will arise in the novels by Park Gye-hyeong By looking at writers and works in time, we identified the key element of Park Gye-hyeong's novels as 'romantic'. Romantic nature of this time is lyrical, sentimental, spiritual, unrealistic and idealistic. Based on a romantic understanding of the world, the core sanction of the novel is love, focusing on feelings of sadness, and on the aspects of joy, separation, and pain that arise from loving relationships rather than the aspects of joy. Based on the feelings of grief, the novels end with failure, death and betrayal, thus embodying tragic romanticism. Before her marriage, Park Gye-hyeong's novels were love stories that revealed her longing for beautiful love based on sensibility. The idyllic world and longing for nature reveal a romantic world-view. Ultimately, it is a fictional worldview that the author seeks to despair and long for, and to find the sincerity and morality of love in an environment that does not. Park Gye-hyeong, who became a housewife, expressed that she wanted to write a piece that can give readers a sense of nostalgia by embodying "romance at a high level," not "sentimental." In subsequent works, physical relationships are treated as failures of love and spiritual relationships as the fruit of love, revealing the lofty spirituality, idealistic longing and religious nature of love. Park Gye-hyeong confessed her shame about her previous work when she published a new one after more than two decades of writing. And after more than two decades of reflection, her new novel had a new theme of "recovering destroyed humanity." However, the search for "humanity" in the two novels released after the write-off tends to be somewhat hasty at the end of the novel. The question of human nature, sin and forgiveness, is the next best thing to save as a way of life, rather than as a result of the intense inner agony and behavior of the characters within the narrative, and this also shows a sudden shift in religiousness at the end of the novel. Therefore, the romantic meaning of the superficial is superficial.

• Journal of Communication Design
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• v.68
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• pp.278-288
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• 2019

The purpose of this study is to analyze the effects of risk and convenience on purchase intention in the IOT market, and I want to analyze the moderating effect of emotional consumption value. In this study, two products were selected from three product groups. There are three major methods of research. First, theoretical considerations. Second, survey analysis. Reliability analysis and factor analysis were performed using descriptive statistics using SPSS. Third, we measured changes of EEG according to in - depth interview and indirect experience. As a result of the hypothesis of this study, it was confirmed that convenience of use of IoT product influences purchase intention. Risk was predicted to have a negative effect on purchase intentions, but not significant in this study. This implies that IoT products tend to be neglected in terms of monetary loss such as cost of purchase, cost of use, and disposal cost when purchasing. In-depth interviews and EEG analysis revealed that there is a desire to purchase and try out the IoT product due to the nature of the product, the novelty of new technology, and the vague idea that it will benefit my life. The aesthetic, symbolic, and pleasure factors, which are sub - elements of emotional consumption value, were found to have a great influence. This is consistent with previous research showing that emotional consumption value has a positive effect on purchase intention. In-depth interviews and EEG analyzes also yielded the same results. This study has revealed that emotional consumption value affects the intention to purchase IoT products. It seems that companies producing IoT products need to concentrate on marketing with more emotional consumption value.

• Journal of Service Research and Studies
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• v.14 no.1
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• pp.44-62
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• 2024

The development of online funeral services and social issues of eco-friendly funeral culture have raised awareness of the new need for online funeral culture. There have been several attempts to revitalize online funeral services in domestic institutions and companies, but the effect is weak. The purpose of this study is to propose a design that can improve the accessibility and usability of online memorial services by analyzing the usability problem factors through a First Time User Experience analysis of the online memorial platform. Therefore, in this study, in order to identify the problem factors of the online memorial platform, a literature review on the UX, OOBE, and FTUE theories was conducted. The subject of the study was the app 'Memorial'. Before analyzing the First-Time User-Experience, IA was compared and analyzed with other similar services to understand the characteristics of the UX service of the app 'Memorial', which is the subject of the study. In addition, tasks corresponding to the Unpack-Setup/Configure-First Use stage were performed on 10 subjects who had no experience using the online memorial platform. The experimental process was expressed as the UX Curve to identify factors that caused negative experiences. As a result, the major problem factors included unnecessary UI elements, the need for sensitive personal information at the membership stage, and lack of immersion in the service. The improvements included strengthening community functions to facilitate the sharing of emotions and promote smooth communication between users. We proposed UI/UX service developments that enhanced the app by incorporating these insights. In order to verify the effectiveness, serviceability, and value of the developed prototype, an interview with a expert was conducted. The interviewes consisted of three service design experts. This study was conducted to contribute to the quality improvement and activation of the recently emerging online funeral services. The study is significant as it aims to understand the current status of these services and identify the factors necessary to improve service accessibility and usability. Subsequent studies require in-depth user verification of how much the proposed improvement plan affects the actual user experience.