• Journal of the Korea Computer Graphics Society
• /
• v.15 no.4
• /
• pp.13-21
• /
• 2009

Game level design is one of the important parts in the commercial game development. Because of its complexity in combining game components, game design work could be classified into a non-linear problem. In this paper, we propose a new automated game level design system by using genetic algorithms. With our system, a game designer easily generates an optimized game level by designating the key parameters m the initial stage of game design. Our system can be useful in reducing the trial-errors in the initial game level design process.

• Journal of Korea Game Society
• /
• v.15 no.4
• /
• pp.157-168
• /
• 2015

The difficulty of the game is closely related to the fun of the game. However, it is not easy to determine the appropriate level of difficulty of the game. In most cases, human playtesting is required. But even so, it is still hard to quantitatively evaluate difficulty of the game. Thus, if we perform quantitative evaluation of the difficulty automatically it will be very helpful in game developments. In this paper, we use a path finding algorithm to evaluate difficulty of exploration in a game level. Exploration is a basic attribute in common video games and it represents the overall difficulty of the game level. We also optimize the proposed evaluation algorithm by using previous exploration histories when available area in an game level is dynamically expanded and the new search is required.

• Journal of Korea Game Society
• /
• v.19 no.3
• /
• pp.25-32
• /
• 2019

This paper proposes a automatic generation method of Match-3 game levels through genetic algorithm. It takes a lot of time and effort if persons have to control the level in the game. In this paper, the genetic algorithm is applied to create an appropriate block combination. We create block combination from integer DNA. Fitness is high if success probability played by computer is closer to given probability. Experiments have shown that computer-determined levels of difficulty have a significant impact on the results of game played persons.

• Journal of Korea Game Society
• /
• v.5 no.3
• /
• pp.25-30
• /
• 2005

Until now, the level design for games has played a very important role in the process of developing games since it has been mapped out and applied so the game players have fun to certain level in playing games. So as game becomes more complex the number of game designers also grow and to make diverse levels, work force and working hours also should grow larger. In this treatise, it suggest a way where level's structure is changing dynamically so with only one level you can experience diverse levels by introducing wandering agent to the level structure. Also, I am trying to show the possibility of balance between the players by wandering agent.

• Journal of KIISE
• /
• v.44 no.3
• /
• pp.314-322
• /
• 2017

In MMORPG (Massively Multiplayer Online Role-Playing Game), users advance their own characters to get to the maximum (max) level by performing given tasks in the game scenario. Although it is crucial to retain users with high levels for running online games successfully, little efforts have been paid to investigate them. In this study, by analyzing approximately 60 million in-game logs of over 50,000 users, we aimed to investigate the process through which users achieve the max level and churn of such users since the moment of achieving the max level, and determine possible indicators related to churn after the max level. Based on the result, we can predict churn of the max level users by employing behavioral patterns before the max level. Moreover, we found users who are socially active and communicate with many people before the max level are less likely to leave the service (p<0.05). This study supports that communication patterns are important factors for persistent usage of the users who achieve the max level, which has practical implications to guide elite users on enjoying online games in the long run.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.5
• /
• pp.899-905
• /
• 2012

Level Gauge using FMCW Radar is widely used and researched in many areas because of contactless, long range and flexibility. However FMCW level gauge requires wideband RF bandwidth for archiving high resolution of cm grade. In this paper we propose a new tx sawtooth waveform and processing algorithm with narrowband RF for wideband performance. The proposed method is based on STFT(Short-time fourier transform) and single sinusoidal carrier estimation method. From some experiments, we show that the resolution is improved upto 8 times with 300MHz FMCW radar.

• Proceedings of the Korea Contents Association Conference
• /
• 2011.05a
• /
• pp.99-100
• /
• 2011

21세기에 들어서면서 급속도로 성장한 한국의 게임 산업은 어느덧 국내에서 성숙기 단계를 맞이하고 있다. 또한 게임 산업의 꾸준한 확장을 위해서는 글로벌 시장에서 인정받을 수 있는 게임 개발이 절실히 요구되고 있다. 본 논문은 이를 위한 한 단계로서 MMORPG 장르의 게임 중에 오랫동안 이 분야에서 성공 가도를 달리고 있는 월드오브워크래프트를 몰입도 관점에서 성공 요인을 분석하고, 이를 바탕으로 2011년도에 주목 받고 있는 신생 게임 테라의 특징을 동일한 관점에서 분석한다. 몰입도 분석 방법은 정보이론과 정신물리학에 기반하며 게임의 레벨과 스킬의 개수에 의존적인 함수로서 정량적인 접근 방법을 제안한다. 제안 방법에 따르면 월드오브워크래프트는 확장팩 대격변을 전후하여 레벨에 따른 스킬 콘텐츠를 재배치하여 새로운 시도를 선보였다. 그 반면에 테라는 화려한 그래픽을 강점으로 내세우지만 낮은 몰입도와 레벨에 따른 스킬 콘텐츠가 부족하고 그 의도마저 모호하다. 이러한 특징은 실제 테라를 플레이할 때 나타나는데 월드오브워크래프트에 비해 상대적으로 단조로운 스킬 선택권과 직업 선택권의 형태로 발견되어지는 문제로서 제안하는 방법이 몰입도를 측정하는 하나의 방법으로 평가된다.

• The Journal of the Korea Contents Association
• /
• v.8 no.1
• /
• pp.339-347
• /
• 2008

A balanced game is one where the main determining factor for the success of the player is the skill level of that player Random events can occur, but a better player should be more successful than a poor one unless the player has an unusually long run of bad luck. Balancing a game is a very difficult to define a purpose, and to implement process. The possible ways are somewhat subjective and depend on the nature of the game. This paper provides new algorithm for character adjustment using log function with some nature-based Ideas. The algorithm shows not only how we decide the exact point of character adjustment but also how much we have to modify the parameters for changing abilities of the character. This paper shows the experimental results of the algorithm and shows differences between normal game playing and playing with character adjustment.

• Journal of Korea Multimedia Society
• /
• v.9 no.7
• /
• pp.927-937
• /
• 2006

Auto-playing programs are often used in behalf of human players in MMORPG(Massively Multi-player Online Role Playing Game). By playing automatically and continuously, it helps to speed up the game character's level-up process. However, the auto-playing programs, either software or hardware, do harm to games servers in various ways including abuse of resources. In this paper, we propose a way of detecting the auto programs by analyzing the window event sequences produced by the game players. In our proposed method, the event sequences are transformed into a set of attributes, and the Decision Tree learning is applied to classify the data represented by the set of attribute values into human or auto player. The results from experiments with several MMORPG show that the Decision Tree learning with proposed method can identify the auto-playing programs with high accuracy.

• Journal of Korea Game Society
• /
• v.15 no.5
• /
• pp.39-48
• /
• 2015

Level design of online FPS games has not been researched enough for its active development and service. For the most part, FPS design patterns only have been classified based on PVE level design. However, it is necessary to look at it in light of PVP level design in the online FPS multi-player games. Therefore, we analyzed one of the most preferred team-death match levels in 'Point Blank'. This research holds its significance in suggesting the new PVP level design patterns compared to PVE level design patterns after conducting in-depth interviews on three FPS developers.