• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4557-4563
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• 2012

The purpose of this study is to suggest the criteria to public welfare service support for improving life quality of the haenyeo (female divers) through analyzing public welfare services and desires of the haenyeo in Jeju, Busan, and Tongyeong. Accordingly, research period was set from May 11 to June 21, 2010. The haenyeo in each region of Jeju, Yeongdo-gu (Busan), Tongyeong-si were selected as subjects. Recording of interviewing methods was used to recognize current status of public welfare. We analyzed by comparing desires of the haenyeo to public welfare services by dividing them economically, medically, educationally, and culturally. As a result of researching public welfare services to the haenyeo in each region, supports for protection of diving, growing area, public welfare service for aged diving haenyeo, and medical service were conducted. Tewak protecting net, Seonjinji visiting, and welfare facilities are supported in Busan-si but there is no support in Tongyeong-si. Therefore, desires of the haenyeo to such public welfare services are as followings: First, the desires of the haenyeo in Jeju to economic supports are indicated as supports for haenyeo experience spot, diving suit, and overseas visiting. To educational supports, it is indicated as supports for identity education, diving disease prevention education, and foreign language education. To cultural supports, it is indicated as supports for installation of welfare hall and exchange visit to foreign haenyeo culture. Second, in Busan, there were desires to establish changing room and fishery sales lot and to support diving suit as for economic supports, desires to support diving disease and medical benefits as for medical supports, desires to education of diving skill as for educational supports, and desires to establish welfare hall and haenyeo museum as for cultural supports. Third, in Tongyeong where public welfare services to the haenyeo are very poor, there were desires to support diving suit and to support changing room as for economic supports, as same as in Busan, desires to support diving disease and medical benefits as for medical supports.

• The Journal of Art Theory & Practice
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• no.9
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• pp.171-193
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• 2010

This paper examines Fernand Khnopff's Symbolism, focusing on the I Lock My Door upon Myself as a manifesto of his artistic credo in style and theme. Its title was originally in English, originating from the poem "Who Shall Deliver Me?" by Dante Gabriel Rossetti's sister Christina Rossetti. I use the term "Social Symbolism" which combines a nationalist perspective with traditional French Symbolism, in order to explain how the image of Bruges is represented in his oeuvre. Symbolism calls for psychological introspection evoking death, love, silence, and solitude and recluse from realty in pursuit of the Unknown and the Ideal. Although Khnopff shared this idea, he departed from symbolist tradition by incorporating a political milieu in his paintings. First, I discuss Khnopff's early stage in the formation of his artistic concept, including his family background as well as his early opportunity to visit the Exposition Universelle in Paris where he formed his early interests in aesthetics, philosophy, literature, mythology and Egyptian art. His early works, La Painture, la Musique, la Poesie(1880-1881), Le Crise(1881), and En ecoutant Schuman(1883) reveal his favorite subjects which were quite prevalent in the symbolist traditions of both Belgium and France. By looking at Khnopff's paintings, I endeavor to situate his Symbolism in the context of the development of Belgian modernity and cultural nationalism. Second, my analysis of Khnopff creates a new overview of Symbolism in Europe, especially in Belgium. In the absence of socio-political integration, the Symbolist painter adds nostalgic meaning to the landscape of Bruges. The scene of Bruges illuminates the social atmosphere in Belgium at that time. Since Belgium became an independent country, it tried to differentiate its own cultural and national identity from France. There was a powerful social movement for Belgium to claim its own identity, language, and culture. Bruges was, for Symbolists, the epitome of Belgium's past glory. This encouraged the formation of Belgian nationalism centering on Brussels, as I demonstrate in Khnopff's Bruges-la-Morte(1892). The relationship between Symbolist artist and writers is crucial for understanding this development. Khnopff, for instance, illustrated or provided frontispieces for many Symbolist writers such as Rodenbach, Peladan, Spencer and Le Roy. Khnopff did not objectify the exact meaning, but rather provided his own subjective interpretation. In this respect, I Lock My Door, inspired by Rossetti, started from the same motif, but Khnopff seeked escape into silence and death while Rossetti searched for Christian salvation. Finally my paper deals with the social context in which Khnopff worked. He was a founding member of Les XX in 1883 and later La Libre Esthethetique he also participated in the exhibition of le Salon de la Rose + Croix. Les XX was not a particular school of art and did not have a uniform manifesto, but its exhibitions focused on decorative arts by encompassing art for all people via common, everyday objects. The Periodical, L'art moderne was founded to support this ideal by Edmond Picard and Maux. Les XX declared art as independent art, detached from all official connections. Khnopff designed the 1890 catalogue cover of Les XX and the 1891 cover. These designs show decorative element of Art Nouveau in an early example of "modern poster." Les XX pursued all art including graphic arts, prints, placard, posters and book illustrations and design. These forms of art were l'art social and this movement was formed by the social atmosphere in Belgium in terms of social reforms and strikes by working class. Khnopff designed the book cover for la Maison du Peuple. The artist, however, did not share the ideal egalitarianism of the working class to a certain degree, while he was working in his villa he designed under the ideal motto, "on n'a pas que," he expressed the nihilistic emotions toward society by the theme of interiority such as solitude, silence, narcissism, introspection, and introversion. In the middle of his Symbolism, we find the "cultural nostalgia" or longing that the artist develops in the I Lock My Door upon Myself. Khnopff's longing toward the lost city of "Bruges" form the crux of his "Social Symbolism."

• Sijohaknonchong
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• v.22
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• pp.27-55
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• 2005

Visual media are taken the highest position in modem society, Modern poems also have been changed into visual poems, This aspect is the result of considering only individual talents ignoring traditions. Now, new Sigo should be concentrated on the mythological and historical voice from true nature and the body of human being, That is. ut should be converted into an ecological world view resolutely and restored a form of expression granted specific characteristics of our language. Advantages the computer media have brought. that is. equality freedom. human rights. harmony. pro-environmental value. can be maximized by positively accepting an ecological world view of Sijo which had included daily lives and spirits of the nation. Moreover. these all changes of new Sijo have to be established and recreated in the traditional expressions of Sijo. Aesthetic value of Sijo should be found in the expression forms such as phonetic harmony, rules of versification, rhythm, and etc. Then, we can overcome modern society's pathological phenomena such as severance, separation, dissolution, estrangement, psychiatric syndrome and etc. which visual media superiority brought. At the same time. it will cure ills of modern poems, Sijo and writing epochally and can establish true happiness and development.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.77-92
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• 2014

Recently, numerous documents including unstructured data and text have been created due to the rapid increase in the usage of social media and the Internet. Each document is usually provided with a specific category for the convenience of the users. In the past, the categorization was performed manually. However, in the case of manual categorization, not only can the accuracy of the categorization be not guaranteed but the categorization also requires a large amount of time and huge costs. Many studies have been conducted towards the automatic creation of categories to solve the limitations of manual categorization. Unfortunately, most of these methods cannot be applied to categorizing complex documents with multiple topics because the methods work by assuming that one document can be categorized into one category only. In order to overcome this limitation, some studies have attempted to categorize each document into multiple categories. However, they are also limited in that their learning process involves training using a multi-categorized document set. These methods therefore cannot be applied to multi-categorization of most documents unless multi-categorized training sets are provided. To overcome the limitation of the requirement of a multi-categorized training set by traditional multi-categorization algorithms, we propose a new methodology that can extend a category of a single-categorized document to multiple categorizes by analyzing relationships among categories, topics, and documents. First, we attempt to find the relationship between documents and topics by using the result of topic analysis for single-categorized documents. Second, we construct a correspondence table between topics and categories by investigating the relationship between them. Finally, we calculate the matching scores for each document to multiple categories. The results imply that a document can be classified into a certain category if and only if the matching score is higher than the predefined threshold. For example, we can classify a certain document into three categories that have larger matching scores than the predefined threshold. The main contribution of our study is that our methodology can improve the applicability of traditional multi-category classifiers by generating multi-categorized documents from single-categorized documents. Additionally, we propose a module for verifying the accuracy of the proposed methodology. For performance evaluation, we performed intensive experiments with news articles. News articles are clearly categorized based on the theme, whereas the use of vulgar language and slang is smaller than other usual text document. We collected news articles from July 2012 to June 2013. The articles exhibit large variations in terms of the number of types of categories. This is because readers have different levels of interest in each category. Additionally, the result is also attributed to the differences in the frequency of the events in each category. In order to minimize the distortion of the result from the number of articles in different categories, we extracted 3,000 articles equally from each of the eight categories. Therefore, the total number of articles used in our experiments was 24,000. The eight categories were "IT Science," "Economy," "Society," "Life and Culture," "World," "Sports," "Entertainment," and "Politics." By using the news articles that we collected, we calculated the document/category correspondence scores by utilizing topic/category and document/topics correspondence scores. The document/category correspondence score can be said to indicate the degree of correspondence of each document to a certain category. As a result, we could present two additional categories for each of the 23,089 documents. Precision, recall, and F-score were revealed to be 0.605, 0.629, and 0.617 respectively when only the top 1 predicted category was evaluated, whereas they were revealed to be 0.838, 0.290, and 0.431 when the top 1 - 3 predicted categories were considered. It was very interesting to find a large variation between the scores of the eight categories on precision, recall, and F-score.

• Knowledge Management Research
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• v.23 no.4
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• pp.315-338
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• 2022

In 1986, Korea established legal systems to support small and medium-sized start-ups, which becomes the main pillars of national development. The legal systems have stimulated start-up ecosystems to have more than 1 million new start-up companies founded every year during the past 30 years. To analyze the trend of Korea's start-up ecosystem, in this study, we collected 1.18 million news articles from 1991 to 2020. Then, we extracted news articles that have the keywords "start-up", "venture", and "start-up". We employed network analysis and topic modeling to analyze collected news articles. Our analysis can contribute to analyzing the government policy direction shown in the history of start-up support policy. Specifically, our analysis identifies the dynamic characteristics of government influenced by external environmental factors (e.g., society, economy, and culture). The results of our analysis suggest that the start-up ecosystems in Korea have changed and developed mainly by the government policies for corporation governance, industrial development planning, deregulation, and economic prosperity plan. Our frequency keyword analysis contributes to understanding entrepreneurial productivity attributed to activities among the networked components in industrial ecosystems. Our analyses and results provide practitioners and researchers with practical and academic implications that can help to establish dedicated support policies through forecast tasks of the economic environment surrounding the start-ups. Korean entrepreneurial productivity has been empowered by growing numbers of large companies in the mobile phone industry. The spectrum of large companies incorporates content startups, platform providers, online shopping malls, and youth-oriented start-ups. In addition, economic situational factors contribute to the growth of Korean entrepreneurial productivity the economic, which are related to the global expansions of the mobile industry, and government efforts to foster start-ups. Our research is methodologically implicative. We employ natural language processes for 30 years of media articles, which enables more rigorous analysis compared to the existing studies which only observe changes in government and policy based on a qualitative manner.

• Cartoon and Animation Studies
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• s.42
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• pp.151-175
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• 2016

The game industry has evolved from mobile games to PC online games after the smart-phone industry was opened up. In this environment, the game industry has rather been negatively developing its commercials means than the sufficient fundamental entertainment to the users. Especially, many games were released with better graphic qualities yet poor originality, continuing to be popular without enhancing the market itself. Moreover, the user's recognition level has improved. The users share their online gaming experience easily with the development of network environment. They receive the feedbacks on the quality of the game through the online channels and media by sharing them together. The high margin of the game industry will lead to the negative feedbacks of the users, effecting them to critique the content although the market looks good for now. The game industry's evolution has to be reviewed in the perspective of users, to look back at the successful cases of the past before the mobile era by analyzing and indicating the quality of the games and content's direction. This research is focused on the success factors of from the user's point of view, which has been widely claimed as a popular game franchise publicly before the mobile games had risen. WOW has been the most successful MMORPG game with its user record of 1.2 million till now. For these reasons, this study analyzes 's success factors from the user's point of view by configuring five expert groups, sequentially applying expert group survey, interview, Jobs-to-be-done and Fishbein Model as UX methodologies based on the business model to see through its long term rein in the industry. Consequently, The success factors from the user side of MMORPG provides an opportunity for the users to interact deeply with the game by (1) using well designed 'world view' over 10 years, (2) providing 'national policy' that is based on the locations of the users' culture and language, (3) providing 'expansions' with changes in time to give the digging elements to the users.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.45-63
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• 2019

The number of domestic construction company is expanding every year while the construction workers' exposure to disaster risk is increasing due to technological advancements and popularity of high-rise buildings. In particular, the industry faces greater fatalities and severe large scale accidents because of construction industry characteristics including influx of foreign workers with different language and culture, large number of aged workers, outsourcing, high place work, heavy machine construction. The construction industry is labor-intensive, which is to be completed under given timeline and consists of unique working environment with a lot of night shifts. In addition, when a fixed construction budget is not secured, there is less investment in safety management resulting in poor risk management at the construction site. Taking account that the construction industry has higher accident risk rate and fatality rate, risky and unique working environment, and various labor pool from foreign to aged workers, preemptive safety management through risk factor identification is a mandatory requirement for the construction industry and site. The study analyzes about 8,500 cases of construction accidents that occurred over the past 10 years and identified risk factor by construction industry sector to secure a systematic insight for risk management. Based on interrelation analysis between accident types, work types, original cause materials and assailing materials, there is correlation between each analysis factor and work industry. Especially for work types, there is great correlation between work tasks and industry type. For reinforced concrete and earthwork are among the most frequent types of accidents, and they are not only high in frequency of accidents, but also have a high risk in categories of occurrence.

• Cross-Cultural Studies
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• v.25
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• pp.695-721
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• 2011

The purpose of this study is to provide the case study of expression education using story-telling about their cultures from which they came to the women who get interracial married and study korean cultures with the pride of their homeland. This research is also for the diverse members of korean society to deeply understand interracial married women, get higher understanding cultural diversities. And it is expected that these women could learn and study more korean cultures, too. In this study, process-based instruction method is used in the first step and second step such as brainstorming, questioning, discussing, investigating, teacher's asking in order to create some ideas about their home countries. Suggesting an example answer by teacher and free-writing are also involved. As the core of the process-based writing activity, the second step is focused on revising and correcting. Through reviewing their own writing task, feedback from teacher, interviewing from the difficulty of writing after this activity to cultural and linguistic backgrounds, they could appreciate their errors or mistakes in writing are natural and this affects their learning abilities positively. In third step which is focused on speaking activities, teacher provides feedback to learners after checking their common errors or habits in speaking. Meanwhile, by evaluating the role of the appraiser, It is helpful for the learners to have self-esteem of their own. When interviewing after fourth step's activities, the teacher compliments each learner's improvement while pointing out some errors. Afterward, We can see they show more positiveness to learn and understand korean cultures and set their identities. And they indicate interests and concerns each other's cultures by story-telling. It means they identify the popularity and interaction which the story-telling contains. Also, they confirm the participation in story-telling by expressing their willingness to revise their stories. After the activities in fifth step, there have been relatively positive changes in establishing identity and cultivating a sense of pride of learner's homeland cultures. Furthermore, we could find the strong will to be a story-teller about their homeland cultures. On this research, the effectiveness of expression education case study using story-telling about local cultures of interracial married women's homeland has been examined centrally focused on popularity, interaction, and participation. Afterward, interracial married women could not only cultivate the understanding about korean cultures but also establish their identity, improve their korean language skills through this education case study. Finally, the studies of the education programs to train interracial married women as story-tellers for their homeland local cultures are expected.

• Journal of the International Relations & Interdisciplinary Education
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• v.3 no.1
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• pp.1-28
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• 2023

This study was conducted to examine the quantitative trend of domestic studies in invention gifted education, identify the intrinsic meaning and connection attributes in these research analysis, and provide basic data to explore future development plans. To this end, 97 domestic academic papers were finally selected as "Invention Gifted Education" by the Korea Research and Information Service (RISS), technical statistical analysis was conducted with SPSS on publication year, author composition, researcher's affiliation and location area, and published journal. The trend, which had been on the rise since 2007, confirmed by academic papers on gifted education in invention, peaked at the time of the 3rd comprehensive plan for gifted education and has since declined again. As a result of technical statistical analysis of the author's characteristics, half of the papers were jointly published, followed by a number of independent authors. The papers published alone were identified as belonging to universities, research institutes, elementary schools, and middle schools, and the cooperative papers were many studies cooperated with young researchers and professional researchers, and only one collaborative study was conducted between young researchers. When looking at the regions and journals in which the Invention Gifted Education thesis was published, it was concentrated in some regions or journals, and the deviation was very large. As a result of language network analysis using academic paper keywords, creativity and programs were identified as meaningful keywords that showed top appearance, and the keyword pair with high co-appearance was invention gifted-creativity. The keyword of connection-centeredness at the top served as an intermediary for creativity, problem-solving, development, and company to expand to other research topics, and served as a research topic that could be expanded to various topics. In the case of mediation-centeredness, creativity, programs, and effects showed high mediation-centeredness, indicating that it is an important keyword that plays a role in mediating or mediating other keywords. Through these research results, national policy measures need to be prepared for the development of gifted education, and the need to create an invention ecological culture that can enhance teachers' expertise while increasing social responsibility for gifted education.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.73-85
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• 2013

Nowadays, in today's information society, the importance of the knowledge service using the information to creative value is getting higher day by day. In addition, depending on the development of IT technology, it is ease to collect and use information. Also, many companies actively use customer information to marketing in a variety of industries. Into the 21st century, companies have been actively using the culture arts to manage corporate image and marketing closely linked to their commercial interests. But, it is difficult that companies attract or maintain consumer's interest through their technology. For that reason, it is trend to perform cultural activities for tool of differentiation over many firms. Many firms used the customer's experience to new marketing strategy in order to effectively respond to competitive market. Accordingly, it is emerging rapidly that the necessity of personalized service to provide a new experience for people based on the personal profile information that contains the characteristics of the individual. Like this, personalized service using customer's individual profile information such as language, symbols, behavior, and emotions is very important today. Through this, we will be able to judge interaction between people and content and to maximize customer's experience and satisfaction. There are various relative works provide customer-centered service. Specially, emotion recognition research is emerging recently. Existing researches experienced emotion recognition using mostly bio-signal. Most of researches are voice and face studies that have great emotional changes. However, there are several difficulties to predict people's emotion caused by limitation of equipment and service environments. So, in this paper, we develop emotion prediction model based on vision-based interface to overcome existing limitations. Emotion recognition research based on people's gesture and posture has been processed by several researchers. This paper developed a model that recognizes people's emotional states through body gesture and posture using difference image method. And we found optimization validation model for four kinds of emotions' prediction. A proposed model purposed to automatically determine and predict 4 human emotions (Sadness, Surprise, Joy, and Disgust). To build up the model, event booth was installed in the KOCCA's lobby and we provided some proper stimulative movie to collect their body gesture and posture as the change of emotions. And then, we extracted body movements using difference image method. And we revised people data to build proposed model through neural network. The proposed model for emotion prediction used 3 type time-frame sets (20 frames, 30 frames, and 40 frames). And then, we adopted the model which has best performance compared with other models.' Before build three kinds of models, the entire 97 data set were divided into three data sets of learning, test, and validation set. The proposed model for emotion prediction was constructed using artificial neural network. In this paper, we used the back-propagation algorithm as a learning method, and set learning rate to 10%, momentum rate to 10%. The sigmoid function was used as the transform function. And we designed a three-layer perceptron neural network with one hidden layer and four output nodes. Based on the test data set, the learning for this research model was stopped when it reaches 50000 after reaching the minimum error in order to explore the point of learning. We finally processed each model's accuracy and found best model to predict each emotions. The result showed prediction accuracy 100% from sadness, and 96% from joy prediction in 20 frames set model. And 88% from surprise, and 98% from disgust in 30 frames set model. The findings of our research are expected to be useful to provide effective algorithm for personalized service in various industries such as advertisement, exhibition, performance, etc.