• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.364-371
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• 2009

We analyzed romance of the three kingdoms written by Luo Guanzhong by using complex network to compare its properties with those of social network. The three kingdom network has a scale free and hierarchical network properties. Human-human interaction networks are dramatically changing in response to time and space. Due to lack of the dynamic interacting data, the researches only focus to analysis for properties of the statical networks. The romance of the three kingdoms is a Chinese historical novel based upon events from the end of the Han Dynasty, the Three Kingdoms era of China, and the reunification of the land. There are over a thousand characters, over a three thousand human-human interactions, and the dynamic changed in human-human interactions in the historical novel. Here, we introduce that a possible method for analyzing about dynamic changing of the complex network.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.469-491
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• 2019

The purpose of the study is to establish a plan for the development of digital person archives with the case of Geum-nam Kim, the third-generation head of the Christian Donggwangwon Monastery Society. The step-by-step strategy for building digital character archives for Geum-nam Kim is as follows. 1)The reason and expected effect of the character selection are analyzed. Since he was a survivor, he has recorded and typed his life history through several interviews. Considering that the memory of Geum-nam Kim, who is over 90 years old, could be mixed up in the time of the incident, the advice of Sister Donggwangwon and Maj. Gen. Gyuillwon, the lower unit of Donggwangwon, was obtained and verified for accuracy. 2)The contents of the records and the place of collection were identified, and the total content composition(proposal) was presented by reclassifying and relocating the records identified records. The entire contents are divided into recorded contents and explanatory contents, so that they can be linked to each area and collection.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.476-484
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• 2012

Family member network of kings in Chosun dynasty shows scale free network properties as if most social networks do. One of distinct topological properties of the network is relatively high diameter that reflects dataset composed of the one generation continuously falling to next one. When k-core algorithm as a useful tool for obtaining a core network from the complex family member network was employed, it is possible to obtain hidden and valuable information from a complex network. Unfortunately, it is found that k-core algorithm is not useful tool for applying narrow and deep structural network. The family member network is composed of kings, queens, princes, and princesses. It is possible to separate sub-family members and to construct sub-family member networks such as queen-centered, prince-centered, and princess-centered networks. Sub-family member networks provide an useful and hidden information. These results provide new insight that is analyzed by network-based approaches for the family member of the kings in the Chosun dynasty.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.377-382
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• 2006

본 연구의 주제는 정보의 관계를 사용자 중심으로 시각화하는 것이다. 생활속에서 제공되는 대부분의 정보들은 보이지 않는 연결성을 가지고 있다. 이런 정보들의 공통적인 특성 및 관계의 연구를 통해 정보의 중요도를 측정할 수 있고, 각 정보의 개체 간의 연결성이 형성되어 인접정보의 접근이 용이해진다. 특히 인간관계는 사회 연결망의 주된 관심사이며, 사회의 각 개체 간 관계를 분석하여 도식화하는 여러 방법론이 제시되어 있다. 이번 연구를 위하여 제한된 사회라고 볼 수 있는 그리스 신화를 소재로 선정하여 등장인물들 간의 관계를 파악하는데 사회연결망 이론을 적용하였다. 하지만 시각화 측면에서 볼 때 현재 제공되는 사회 연결망 분석 도구는 사용자를 고려한 디자인 부분이 배제되어 단순히 정보를 일방적으로 보여준다는 한계를 지니고 있다. 미톨로지아에서는 분석된 자료를 바탕으로 사용자가 정보를 파악하는데 좀더 효과적이고 용이한 시각적인 구성을 가질 수 있도록 시도했다. 사회 연결망 분석법으로 그리스 신화의 인물들이 가진 신분, 출현 빈도, 감정관계 등을 수치화하여 인물의 연결성을 분석하였다. 또한 정보와 사용자 간의 상호작용 기능을 제공함으로써 사용자의 이해도를 높였다. 기본 인터페이스는 인물노드에 쉽게 접근할 수 있도록 4 가지 분류에 의한 인덱스의 형태를 가지며, 인물 간의 세밀한 관계는 선택에 의한 줌-인(zoom in) 기능을 통해 볼 수 있다. 이는 기존의 필터링 기능과는 차별적인 요소로서 직접 관련된 정보 이외의 정보들은 시각적으로 제한되어 사용자가 인물 관계를 빠르고 직관적으로 파악할 수 있다. 미톨로지아는 개괄적인 관계를 보여주는 레이아웃과 부분적이며 상세한 정보를 파악하기에 적합한 인터랙션 방법을 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.49-56
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• 2012

In this paper, we propose the method that decides the shot types using face detection technique. The shot types, such as close-up shot, medium shot, and long shot, can be applied as useful information for understanding narrative structure of movies. The narrative structure of movie is builded by characters. Also their mental and emotional changes become inextricably bound up with them of narrative. The shot types are decided by distance between character and camera. If put together above them, shot types can be found by using detection technique of face size of characters and understand narrative of movie. To do this, we propose the methodology to detect shot type by face detecting and implement the system to do it. Additionally, we evaluate the performance of the system. The implementation system has been evaluated as 95% for close-up shot detection and 90% for medium shot detection, while 53.3% is just detected for long shots.

• Journal of Gifted/Talented Education
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• v.23 no.4
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• pp.615-632
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• 2013

The purpose of this study was to explore the implicit knowledge of creative person in Korea, China and Japan. To this end, participants of all ages in three countries (Korean 328, Chinese 388, Japanese 394) were required to fill out the survey about creative persons. The major results of this study were as follows: First, Korean and Japanese recognized most the characteristics of creative person as "original" at all ages, Chinese recognized as "intellectual" in most ages. Second, occupations of creative persons were classified into nine categories. Third, in Korea scientist and artist, in China politician, in Japan artist were the occupations of the highest frequency at all ages. These results of this study can be used as a basis for the research of implicit knowledge on creativity in East Asian countries. This study suggests that the implicit knowledge about creative person differs in three countries and cultural characteristics of each country should be considered in the study of creativity.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.85-102
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• 2010

In this paper, we propose a novel method of analyzing video and representing the relationship among characters based on their contexts in the video sequences, namely Character-Net. As a huge amount of video contents is generated even in a single day, the searching and summarizing technologies of the contents have also been issued. Thereby, a number of researches have been proposed related to extracting semantic information of video or scenes. Generally stories of video, such as TV serial or commercial movies, are made progress with characters. Accordingly, the relationship between the characters and their contexts should be identified to summarize video. To deal with these issues, we propose Character-Net supporting the extraction of major characters in video. We first identify characters appeared in a group of video shots and subsequently extract the speaker and listeners in the shots. Finally, the characters are represented by a form of a network with graphs presenting the relationship among them. We present empirical experiments to demonstrate Character-Net and evaluate performance of extracting major characters.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.105-116
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• 2021

Habruta is a question-based learning that talks, discusses, and argues in pairs. In particular, the famous painting Habruta is being implemented for the purpose of enhancing the appreciation ability of paintings and enriching the expressive power through questions and answers about the famous paintings. In this study, in order to support the famous painting Habruta for oriental paintings, we propose a method of automatically generating questions from the gender perspective of oriental painting characters using the current deep learning technology. Specifically, in this study, based on the pre-trained model, VGG16, we propose a model that can effectively analyze the features of Asian paintings by performing fine-tuning. In addition, we classify the types of questions into three types: fact, imagination, and applied questions used in the famous Habruta, and subdivide each question according to the character to derive a total of 9 question patterns. In order to verify the feasibilityof the proposed methodology, we conducted an experiment that analyzed 300 characters of actual oriental paintings. As a result of the experiment, we confirmed that the gender classification model according to our methodology shows higher accuracy than the existing model.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.317-325
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• 2022

The purpose of this study was to provide basic data for reconstructing middle school morality textbooks by analyzing the character traits introduced in the middle school Morality 1 course textbook according to the content and achievement standards. The study method was analyzed according to the analysis framework. The conclusion is as follows. First, in a case study of Kyohaksa, a total of 83 people were introduced, and in the case of MiraeeN, 65 people were introduced. Second, in the case of sincerity by core value, 50 students, 60.2%, future 29, 44.6%, consideration 22, 26.5%, future 29, 44.6%, justice 11 students, 13.3%, 7 in the future, 10.8%. Third, in the content and core values of Kyohaksa, there were concepts of morality that were not included: citizenship, social justice, understanding of North Korea, or a consciousness of unification ethics. Fourth, there are contents that are not covered in the content system and achievement standards in the textbook.

• Information Systems Review
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• v.25 no.3
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• pp.83-97
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• 2023

The primary purpose of this study is to examine the influencer's impacts of cryptocurrency markets. By using Elon Musk's twitter activity to compute effects of influencer's impacts in cryptocurrency markets, this study aims to analyze influencer's impacts and to offer implications for cryptocurrency markets. This study used the tweets that Elon Musk posted for the period between the April 1, 2019 to July 31, 2021 to conduct event study to evaluate influencer's impacts in cryptocurrency market. The results revealed that (1) influencer's impacts was disappearing, and (2) speculative investments was still made in the cryptocurrency market, (3) duration of the influencer's impacts was becoming short. The results indicate that objective evaluation system for cryptocurrency and sanction of bad cryptocurrencies should be needed, in order to ensure right cryptocurrency investment environment. On the other hand, the government should make policies to create the right cryptocurrency investment environment and flatform.