• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.669-674
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• 2003

네트워크 게임 제작에 있어서, 요즘의 추세를 보면 화려하고 다양한 캐릭터, 애니메이션, 사운드의 지원으로 게임 플레이어에게 현실감을 느끼게 할 수 있는 요소에 치중하고 있다. 특히 요즘에 서비스되고 있는 실시간 네트워크 게임의 경우, 개발 인원도 많이 투입되는 프로젝트이므로, 객체 지향적 설계 방법론을 따르지 않으면, 좋은 어플리케이션 제작이 힘들다. 국내에서 여러 게임 제작업체가 네트워크 게임의 설계와 구현에 있어서 객체지향 패러다임을 적용하여 자체 어플리케이션을 개발하고 있다. 그러나, 회사 자산 보안상의 이유로 게임 설계 기법이 게임의 설계를 배우고자 하는 사람들에게 제공되기는 힘든 실정이다. 만약, 디자인 패턴을 이용한 다양한 설계기법과 그 적용 예가 여러 사람들에게 제공이 된다면, 보다나은 API의 발전이나, Framework의 개발을 가져올 수 있다. 이러한 견지에서, 본 논문에서는 자바 언어를 사용한 네트워크 게임 제작에 있어서, 적용될 수 있는 디자인 패턴들에 대해 연구한다.

• Journal of Korea Multimedia Society
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• v.8 no.4
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• pp.536-543
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• 2005

3D online game, with its striking realistic value, is leading the entire Korean game market which has various game genres. Technology sharing is very hard within the Korean game industry. That is because 1)there are few professionals, 2)most of the companies are small-scaled, and 3)there are security reasons. Therefore, it should be significant if we have software design techniques which make it possible to reuse the existing code when developing a network game so that we could save a lot of efforts. In this paper, the author analyzes the demand through the case in the client's design of the network game based on DirectX and proposes the effective software design methods for reusable code based on the creative patterns application in the GoF in the class design.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.399-401
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• 2024

본 논문에서는 텍스처 합성 기술을 활용하여 가상의 거품 패턴 텍스처를 생성하기 위한 합성 데이터 구축 방법을 소개한다. 물리 기반 유체 시뮬레이션에서 거품 표현은 2차 효과(Secondary effects)로 분류되며, 그만큼 계산량이 큰 작업이다. 게임 업계에서는 저사양 디바이스에서도 실시간으로 게임이 실행되어야 하므로 상대적으로 계산량이 큰 물리 기반 시뮬레이션을 통해 거품을 표현하기 어렵다. 대부분 사용자가 임의로 그린 거품 패턴을 화면에 매핑하여 적은 계산량을 통해 거품을 표현하지만, 시뮬레이션을 통해 만들어진 데이터가 아니기 때문에 품질을 보장하기 어렵다. 본 논문에서는 물리 기반 시뮬레이션을 통해 만들어진 거품 패턴을 텍스처 합성 기술을 통해 재생산(Reproduction)함으로써 수작업으로 그린 거품 패턴에서는 표현하기 어려운 고품질 거품 패턴 텍스처를 만들어 낸다.

• Journal of Korea Game Society
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• v.16 no.4
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• pp.35-44
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• 2016

To apply the player's experiences to the design process of the game levels set by the developer, gameplay behavior analysis is needed. The player's behavior which is different by how much he got experiences from the play has generally been studied by one computational approach based on numerical data and the other HCI(human-computer interaction) approach through heuristic analysis. For the analysis of the player's behavior with the level design patterns in FPS(first-person shooter) games, in this paper those methods are used to code 12 main types of action, which in turn is simply categorized into 5 kinds of behavior pattern. Along with it, an optimized visualization is proposed to intuitively compare the flow of behavior pattern with the time of playing game.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1588-1596
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• 2004

Developing a real time network game that is serviced on the internet requires a lot of work, time and manpower. Therefore, it is important to design a game in such a way so that existing design codes could be used. The area which is being studied to maximize the reusability of the existing design code is related to design patterns. If the developers are given various design techniques and application examples that use well defined design patterns, they will be able to make better game API(Application Programming Interface) and to invent a framework for game development based on this API as well. In this paper, the design patterns that the GoF(Gang of Four) proposed have been applied to develop and implement two kinds of network turn games. In the process, efficient design techniques will be proposed for the effective reuse of the existing game API.

• Journal of Korea Game Society
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• v.19 no.4
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• pp.27-36
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• 2019

Approaches to find hidden values using various and enormous amount of data are on the rise. As big data processing becomes easier, companies directly collects data generated from users and analyzes as necessary to produce insights. User-based data are utilized to predict patterns of gameplay, in-game symptom, eventually enhancing gaming. Accordingly, in this study, we tried to analyze the gaming strategy and user activity patterns utilizing Battlegrounds in-game data to detect the in-game hack.

• 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.

• Journal of Korea Game Society
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• v.12 no.5
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• pp.35-42
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• 2012

Main focus of FPS game's play is securing vantage points in space based on specific theme and removing enemies. It could be more directly interacted with players' game space than other genres. This paper analyzes design patterns on FPS game of nine types consisted of three themes : past war, modern war, near future war, which is based on 10 different patterns of near future theme-oriented by Hullett and Whitehead. As an outcome, an important function of 'element of cover' was found additionally as a main pattern besides the 10 different patterns. And by analyzing its attributes, it is suggested the efficient way to use the 'cover' pattern for level-design. This result can be utilized as an empirical guideline for level-design of FPS games by theme.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.6
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• pp.69-80
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• 2004

This paper proposes a method to learn action patterns of opponent characters for intelligent characters. For learning action patterns, intelligent characters learn the past actions as well as the current actions of opponent characters. Therefore, intelligent characters react more properly than ones without the knowledge on action patterns. In addition, this paper proposes a method to learn moving actions whose fitness is hard to evaluate. To evaluate the performance of the proposed algorithm, we experiment with four repeated action patterns in a game similar to real games. The results show that intelligent characters learn the optimal actions for action patterns and react properly against to random action opponent characters. The proposed method can be applied to various games in which characters confront each other, e.g. massively multiple of line games.

• Journal of Korea Game Society
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• v.21 no.6
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• pp.87-96
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• 2021

As the industry develops, the technology used for games is also being advanced. In particular, AI technology is used to game automation and intelligence. These game player patterns are widely used in online games such as player matchmaking, generation of friendly or hostile NPCs, and balancing of game worlds. This study proposes a model generation method for game players. For model generation, attributes such as hunting, collection, movement, combat, crisis management, production, and interaction were defined, and patterns were extracted and modeled using decision tree method. To evaluate the proposed method, we used the game log of a commercial game and confirmed the meaningful results.