• Journal of Korea Game Society
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• v.19 no.4
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• pp.109-118
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• 2019

This paper shows the need to study the commercialized color book game screen composition and manipulation interface type in order to enhance the utilization of the serious game mobile coloring book game, which is utilized from the learning of color sense in modern people and children to the hobby life of adults or old people. For the healing of modern people, we are going to look at the design configuration of game screen interfaces in simple and fun mobile coloring book games, and propose a new way to improve interface design that improves uncomfortable design by organizing and analyzing basic interface UI design types.

• Journal of Korea Game Society
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• v.16 no.6
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• pp.143-150
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• 2016

Programming is a difficult meat for novices. Educatees nowadays start to play games before they first attend formal education. Serious games offer tools that may have potential to support programming trainers to become more engaged on their learning through a learn while having fun approach. This paper aims to design and implement serious game for programming education. Our serious game substitutes game rules and objects for elements of programming language. We will begin by describing the game mechanics, followed by the general system architecture, finalizing with a small conclusion. We also discuss the implications of our work for the development of the serious game that support the identified features and teach programming concepts.

• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.123-132
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• 2012

Recently, global environmental problems have become serious due to human economic activities. Therefore, in order to build a sustainable society in which human economic activities coexist with nature, it is important to promote and enhance environmental education. As a preceding study, a board and computer game of "Ecopoly," which is the game for education on global environmental problems, were developed. This study further aims to develop algorithms which make decisions in Ecopoly, to automate decision-makings of opponents using the algorithms, and to develop the environmental educational game "Ecopoly V" which enables self-learning. In order to develop the algorithms, the board game of Ecopoly was played, and each player's decision-makings at the all points at which players make a decision were observed and analyzed. From the analyses, it became clear that the decision-makings were distinguished by 3 characteristics; Ecology type, Economy type, and Balance type. Based on the characteristics, the factors and standard values of each decision-making were made clear. Algorithms were developed based on the factors and standard values. Ecopoly V was developed by incorporating the algorithms into the computer game of Ecopoly. Experimental testing of the game was conducted and the validity of the game was verified.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.6
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• pp.693-698
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• 2003

Every baseball game generates various records and on the basis of those records, win/lose prediction about the next game is carried out. Researches on win/lose predictions of professional baseball games have been carried out, but there are not so good results yet. Win/lose prediction is very difficult because the choice of features on win/lose predictions among many records is difficult and because the complexity of a learning model is increased due to overlapping factors among the data used in prediction. In this paper, learning features were chosen by opinions of baseball experts and a heuristic function was formed using the chosen features. We propose a hybrid model by creating a new value which can affect predictions by combining multiple features, and thus reducing a dimension of input value which will be used for backpropagation learning algorithm. As the experimental results show, the complexity of backpropagation was reduced and the accuracy of win/lose predictions on professional baseball games was improved.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.9
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• pp.2038-2044
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• 2011

Serious games are selected by users according to the original goals such as education, treatment, training and so on. Therefore, those type of games are evaluated inside and outside the game about whether the goals are archived or not. Among quality test elements of serious game, assessment is about whether, in games, ability to verify goal achievement is included or not. In this paper, we examined the achievement-assessing function of serious game through several cases. Furthermore, to utilize for developing serious games for English learning, we designed a level system which achievement-assessing function is applied to. In this level system, we used 'competition and reward' as the core elements of game, and designed the system through simulation of which grades are level-designed along the user's English proficiency level based on notice of MEST(Ministry of Education, Science and Technology). This paper is expected to be useful reference for designing English learning game containing achievement assessing function.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.5
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• pp.241-248
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• 2023

GAN (Generative Adversarial Networks) creates highly sophisticated counterfeit products by learning real images or text and inferring commonalities. Therefore, it can be useful in fields that require the creation of large-scale images or graphics. In this paper, we implement GAN-based game character creation AI that can dramatically reduce illustration design work costs by providing expansion and automation of game character image creation. This is very efficient in game development as it allows mass production of various character images at low cost.

• Journal of Korea Game Society
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• v.6 no.4
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• pp.25-37
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• 2006

Although the constructivistic instruction is emphasized in these days, many teachers feel burden to implement their teaching based on constructivistic teaming theory. As the main reason for this, difficulty to find out effective materials which can be utilized in the constructivistic instruction can be argued. According to recent studios, effectiveness of online games as the educational material was proven. Based on this result, the possibility for utilizing online games as effective educational materials in the constructivistic instruction was discussed in this study. For this, total process for the business strategy lecture implemented to 50 students in Chung-Ang univ. during 9 months by utilizing an online game named 'Goonzu' was reviewed by the perspective of constructivistic teaming theories. As a result of this review, it was proven that constructivistic methodologies were applied effectively in that lecture. Based on this, the possibility of utilizing online games as the effective material in the constructivistic teaming activity is discussed in this study.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.7
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• pp.315-320
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• 2017

In this paper, I design a new scheme that is immune to malicious attack based on the weighted voting game. By using stochastic learning, the proposed scheme can revoke the certification of malicious node. Through the revocation process, the proposed scheme can effectively adapt the dynamic Mobile Ad hoc network situation. Simulation results clearly indicate that the developed scheme has better performance than other existing schemes under widely diverse network environments.

• Journal of Elementary Mathematics Education in Korea
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• v.17 no.2
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• pp.285-299
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• 2013

Problem posing activity of which a learner reinterprets an original problem via a new problem suggested, is a learning method which encourages an active participation and approves self-directed learning ability of the learner. Especially gifted students need to get used to a creative attitude to modify or reinterpret various mathematical materials found in everyday usual lives creatively in steady manner via such empirical experience beyond the question making level of the textbook. This paper verifies the possibility of lesson on question making strategy utilization for creativity development of gifted class, and analyzes various cases of students' trials to modify the rules of a board game called Rummikub in application of their own mathematics after learning What-If-Not strategy.

• Journal of Korea Game Society
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• v.21 no.6
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• pp.75-86
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• 2021

Brand image refers to how customers, stakeholders and the market see and recognize the brand. A positive brand image leads to continuous purchases, but a negative brand image is directly linked to consumers' buying behavior, such as stopping purchases, so from the corporate perspective, it needs to be quickly and accurately identified. Currently, methods of investigating brand images include surveys and SNS surveys, which have limited number of samples and are time-consuming and costly. Therefore, in this study, we are going to conduct an emotional analysis of text data on social media by utilizing the machine learning based KoBERT model, and then suggest how to use it for game corporate brand image analysis and verify its performance. The result has proved some degree of usability showing the same ranking within five brands when compared with the BRI Korea's brand reputation ranking.