• Proceedings of the Korean Association for Survey Research Conference
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• 2005.12a
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• pp.187-220
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• 2005

The purpose of this study is to analyze supporters' community formation motives/ Process/consumption experiences and community characteristics. For this purpose, this study collected the data using ethnographic interview. participant observation, documents and media reports. The results of this study show that supporters communities' formation and diffusion process were influenced by individual characteristics(e.g., personality, hobby and etc.), community characteristics(e.g.,team performance, star player, facilities and etc.) and external factors(ex: media movement etc.) and supporters have experienced various emotions such as intimacy. cohesion, pride and so on through various activities at on-line and off-line site. Community characteristics were classified into we-ness, rituals/traditions, moral responsibility. We found that we-ness influenced emotional dimensions such as joy, pleasure, fun and excitement. rituals and traditions made members feel passion. hope. love and vitality. and moral responsibility provided satisfaction. enthusiasm anxiety. regret and so on. Also, emotional attachment and brand loyalty were increased by these experiential aspects of community consumption.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.475-483
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• 2021

The purpose of this study is to identify the temporal and spatial characteristics of pass accuracy by utilizing the second processing data and official records collected from the 2018 FIFA World Cup Russia video data. For a total of 128 games, the success rate of passes based on the results of the game, passing time, and passing position was two-way ANOVA with repeated measure. The results showed no difference between winning and losing groups, and no interaction effects were found for passing time and location. The difference in passing time was high in the first half, with the highest success rate in the middle of the first half (79.2%) and the middle of the second half (77.9%) in the 15~30 minutes and the 60~75 minutes. Pass success rates were in the order of defense-midfield area (83.9%), midfield-attack area (81.7%), defense area (70.6%) and attack area (61.1%). In conclusion, there was no difference in the passing success rate of the winning and losing teams depending on the characteristics of the relative competitive strength of the World Cup games, and it is believed that follow-up research is needed to analyze the game contents rather than the factors of the winning and losing in the future.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.191-198
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• 2019

This paper investigates different types of leadership found in foreign coaches in charge of the Korean national soccer team. To that end, news articles published during the tenure of those coaches were crawled for analysis. The analysis highlighted the following results. First, successful sports leaders showed their own specific types of leadership. Second, failed sports leaders showed specific types of leadership. The findings have the following implications. The leadership established based on the analysis results have practical implications in that they suggest the types of effectiveness leadership that are required of sports leaders in managing and leading athletes whilst generating tangible results and performance.

• Journal of Korea Multimedia Society
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• v.12 no.2
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• pp.290-299
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• 2009

Evolutionary Artificial Neural Networks (EANNs) has been highly effective in Artificial Intelligence (AI) and in training NPCs in video games. When EANNs is applied to design game NPCs' smart AI which can make the game more interesting, there always comes two important problems: the more complex situation NPCs are in, the more complex structure of neural networks needed which leads to large operation cost. In this paper, the Dynamic State Evolutionary Neural Networks (DSENNs) is proposed based on EANNs which deletes or fixes the connection of the neurons to reduce the operation cost in evolution and evaluation process. Darwin Platform is chosen as our test bed to show its efficiency: Darwin offers the competitive team game playing behaviors by teams of virtual football game players.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2520-2526
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• 2015

This study investigated the effects of sports game outcomes on spectators' Ad recall, and the sports game induced suspense was also investigated for its moderating effects between the variables. On the day after the 2012 London Olympic soccer games, university students (N=257) from the Busan area completed questionnaires and MANOVA was utilized for data analysis. Results of this study revealed that outcome of sports game have significant effects on recall of both brand name and contents which aired during a halftime break. In addition, significant moderating effects of sports game induced suspense were found on brand name and contents recall. Based on the results, some suggestions for marketing practitioners are discussed and future research directions are outlined.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.5
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• pp.161-168
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• 2020

Predicting outcome of the sports enables teams to establish their strategy by analyzing variables that affect overall game flow and wins and losses. Many studies have been conducted on the prediction of the outcome of sports events through statistical techniques and machine learning techniques. Predictive performance is the most important in a game prediction model. However, statistical and machine learning models show different optimal performance depending on the characteristics of the data used for learning. In this paper, we propose a new ensemble model to predict English Premier League soccer games using statistical models and the machine learning models which showed good performance in predicting the results of the soccer games and this model is possible to select a model that performs best when predicting the data even if the data are different. The proposed ensemble model predicts game results by learning the final prediction model with the game prediction results of each single model and the actual game results. Experimental results for the proposed model show higher performance than the single models.

• Convergence Security Journal
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• v.22 no.2
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• pp.115-120
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• 2022

This study analyzed the recent trends in the sports environment to which big data and AI technologies, which are representative technologies of the 4th Industrial Revolution, and approached them from the perspective of convergence of big data and AI technologies in the sports field. And the results are as follows. First, it is being used for player and game data analysis and team strategy establishment and operation. Second, by combining big data collected using GPS, wearable equipment, and IoT with artificial intelligence technology, scientific physical training for each player is possible through user individual motion analysis, which helps to improve performance and efficiently manage injuries. Third, with the introduction of an AI-based judgment system, it is being used for judge judgment. Fourth, it is leading the change in marketing and game broadcasting services. The technology of the 4th Industrial Revolution is bringing innovative changes to all industries, and the sports field is also in the process. The combination of big data and AI is expected to play an important role as a key technology in the rapidly changing future in a sports environment where scientific analysis and training determine victory or defeat.

• Journal of Popular Narrative
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• v.27 no.3
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• pp.127-150
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• 2021

This study focuses on analyzing the epic characteristics of a korean sports cartoon called "Burning Ground" in the 1970s. Through this, we would like to reveal that only "Burning Ground" has a unique narrative. We hope that such research will accumulate and serve as the basis for the study of Korean sports cartoon. In the 1970s and 1980s, Korean sports cartoons were narratives of the main characters. The story of the family is central to the narrative. Family revenge is mainly the central narrative. Plural narratives are serious, and sports act as auxiliary narratives. It uses 'Spocon', a characteristic of Japanese sports cartoons, to show its efforts to get revenge. Therefore, it is extremely rare to use professional knowledge in Korean sports cartoons in the 1970s. Burning Ground uses an escalating system to construct incremental narratives. The three-dimensional narrative is composed by utilizing various narratives of surrounding characters. The use of expertise in football is a feature of the 1990s, and showing this in the 1970s means that the work is ahead of its time. There are limitations of Japanese cartoon theft and plagiarism. However, through this, it provides evidence to examine the relationship between Korea and Japan. And timeless epic speciality must be recognized. The study is meaningful in that it can broaden the perspective of Korean cartoon research in the 1970s.