• Journal of Korea Game Society
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• v.11 no.6
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• pp.33-42
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• 2011

In this study, game-aided human life type game design method is suggested. It mainly deals with the permissiveness of the game rules and coenesthesia of the game that are fitted with the agility of the elders such as the performance of a selective response. And 'Rolling hoops Balance Game' has been implemented by applying the game-aided human life type game. Since the pressure sensors are installed on each parts of the chair type game controller, to play the game, a gamer simply uses her hands and feet to press the sensors without requirements of the complex movements. The goal of the game are the leg muscles strength and improvement of the body balancing ability. In addition, the game graphics consists of sensory stimuli package(Namazi, Haynes, reminiscence therapy, 1994) to make friendly mood for elders. We have tested 50 elders who were more than 65 years old. 74% of them answered they were satisfied totally for the game play. It is a meaningful result that 88% of participants replied they would like to play the game again.

• Journal of Korea Game Society
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• v.15 no.2
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• pp.43-52
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• 2015

This Study suggests the user-friendly game playing method of rhythm dance game focusing on the natural interaction between music and user's movement. When the existing rhythm dance games have given the limitation to users, this study chose the game playing method using beat that is consist of basic element in dance music for minimizing the limitation. Beat feeling method automatically figures out each body position value extracted with Kinect that divided into three parts of shoulder, knee, and head. Accoring to this process, users can play the game to individual dance style, not fixed rules for game.

• 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.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.401-406
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• 2019

Recently, as multi-platform game environments become common, many games of convergence genre have been produced, and the boundaries of genre division by existing platforms have become blurred. The game genre is convergence content consisting of user-centered 'narrative and play'. In this paper, we propose a game genre classification according to the user 's behavior type based on the essential recognition that the subject of the game is the user. The user's actions are done in different genres and goals and rules, and the interaction is an important act for immersion. Therefore, the user's behavioral classification and perception by the game genre are important and expected to help redefine the game structure.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.114-121
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• 2010

Based on a complex event processing technique, an abuse pattern monitoring method is developed to provide an real-time detection. CEP is a technique to find complex event pattern in a massive information system. In this study, the events occurred by game-play are observed to be against the rules using CEP. User abuse patterns are pre-registered in CEP engine. And CEP engine monitors user abuse after aggregating the game data transferred by game logging server.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5819-5840
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• 2018

Considering the topology of hierarchical tree structure, each cluster in WSNs is faced with various attacks launched by malicious nodes, which include network eavesdropping, channel interference and data tampering. The existing intrusion detection algorithm does not take into consideration the resource constraints of cluster heads and sensor nodes. Due to application requirements, sensor nodes in WSNs are deployed with approximately uncorrelated security weights. In our study, a novel and versatile intrusion detection system (IDS) for the optimal defense strategy is primarily introduced. Given the flexibility that wireless communication provides, it is unreasonable to expect malicious nodes will demonstrate a fixed behavior over time. Instead, malicious nodes can dynamically update the attack strategy in response to the IDS in each game stage. Thus, a multi-stage intrusion detection game (MIDG) based on Bayesian rules is proposed. In order to formulate the solution of MIDG, an in-depth analysis on the Bayesian equilibrium is performed iteratively. Depending on the MIDG theoretical analysis, the optimal behaviors of rational attackers and defenders are derived and calculated accurately. The numerical experimental results validate the effectiveness and robustness of the proposed scheme.

• Journal of Korea Game Society
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• v.14 no.6
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• pp.39-48
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• 2014

Go is an extremely complex strategy board game despite its simple rules. By using MCTS, the computer Go programs with handicap game have been defeated human Go professionals. MCTS is based on the winning rate estimated by MC simulation rather than strategy concept. Meanwhile Genetic algorithm equipped with an adequate fitness function can find out the best solutions in the game. The game of Tic-Tac-Toe, also known as Naughts and Crosses, is one of the most popular games. We tried to find out the best strategy in the game of Tic-Tac-Toe. The experimental result showed that Genetic algorithm enables to find efficient strategies and can be applied to other board games such as Go and chess.

• Journal of Korea Game Society
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• v.1 no.1
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• pp.61-67
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• 2001

This paper describes a program which learns good strategies for two-poison, deterministic, zero-sum board games of perfect information. The program learns by simply playing the game against either a human or computer opponent. The results of the program's teaming of a lot of games are reported. The program consists of search kernel and a move generator module. Only the move generator is modified to reflect the rules of the game to be played. The kernel uses a temporal difference procedure combined with a backpropagation neural network to team good evaluation functions for the game being played. Central to the performance of the program is the search procedure. This is a the capture tree search used in most successful janggi playing programs. It is based on the idea of using search to correct errors in evaluations of positions. This procedure is described, analyzed, tested, and implemented in the game-teaming program. Both the test results and the performance of the program confirm the results of the analysis which indicate that search improves game playing performance for sufficiently accurate evaluation functions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.364-365
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• 2021

In this paper, we study and develop content for a puzzle game that can be enjoyed lightly with appropriate rules us ing Chilgyo-Nori blocks and Tetris blocks. We plan and develop puzzle games with low entry barriers and high revisit rates from the perspective of client indie game developers who are away from mass-produced games that additionally r equire specific items in a specific game section by focusing on the commercialization of game contents. The implement ed game promotes the creativity of users based on the possibility of creating more 2D designs than the existing Chilgy o-nori by using the Tetris block and the Chilgyo-nori block at the same time.

• Journal of the Korea Society for Simulation
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• v.21 no.1
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• pp.9-17
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• 2012

War-game simulation models the situation of a battlefield and has been used for evaluating fighting power and analyzing the occupation of a troop. However, in war-game simulation environment, it is very complex to consider all factors which can be influenced in real battlefields. To solve the problem of the consideration, we propose an ontology-based path finding model. This model uses an ontology to conceptualize the situation data of a battlefield and represents the relations among the concepts. In addition, we extract new knowledge from the war-game ontology by defining some inference rules and share knowledge by the established rules. For the performance evaluation of the proposed model, we made a limitation on the simulation environment and measure the moving time of a troop, the fighting capability of a troop, and the necessary cost while a troop is moving. Experimental results show that this model provides many advantages in aspects of the moving time, a loss of fighting capability, and the necessary cost.