• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.32-39
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• 2007

An important application domain for online services is an interactive, multi-player game. In recent, many increase of users that use on-line services through networks have caused a heavy load to the server. In this paper, we propose a MMORPG(Massively Multi-player Online Role Playing Game) distributed game server using flayer-Cell. Our method provides efficient solution of a MMORPG distributed game server for large numbers of users. It is shown through the experiments that our method outperforms existing methods in terms of memory utilization rate and processing speed.

• Journal of Korea Multimedia Society
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• v.9 no.7
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• pp.927-937
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• 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
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• v.21 no.5
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• pp.63-74
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• 2021

The format of game play varies depending on the priority of game design components by genre. In this study, in order to quantitatively derive the priority of game design components by genre, 6 game design components and 6 genres were extracted through prior research on game design components and genres, and then the research model was designed, and priorities were derived through AHP. Feedback system in action games, story in adventure games, mechanics in role-playing games, mechanics in simulation games, feedback system in table games, and mechanics in puzzle games were highly prioritized.

• Journal of Korea Game Society
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• v.13 no.2
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• pp.39-48
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• 2013

In MMORPGs(Massively Multi-player Online Role-Playing Games) a large number of players actively interact with one another in a virtual world. Therefore MMORGs must be able to quickly process real-time access requests and process requests from numerous gaming users. A key challenge is that the workload of the game server increases as the number of gaming users increases. To address this workload problem, many developers apply with distributed server architectures which use dynamic map partitioning and load balancing according to the server function. Therefore most MMORPG servers partition a virtual world into zones and each zone runs on multiple game servers. These methods cause of players frequently move between game servers, which imposes high overhead for data updates. In this paper, we propose a new architecture that apply with an arithmetic server dedicated to data operation. This architecture enables the existing game servers to process more access and job requests by reducing the load. Through mathematical modeling and experimental results, we show that our scheme yields higher efficiency than the existing ones.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.429-467
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• 2019

Various digital literacy and critical competencies are crucial for success in the information and media-rich 21st century game of life. This study explores and describes the digital literacy practices of role-players in WildStar, a science fantasy Massively Multiplayer Online Role Playing Game (MMORPG). Active role-players create and participate in group-driven interactive stories while in-character. A hybrid ethnographic method integrating overt participant observation and engagement, collection of community artifacts across multiple sites (such as wikis, discussion boards, and social media), and semi-structured interviews was employed to understand how role-players seek, use, evaluate, and manage information, media, and technology. Role-players used various media and technologies to supplement, simplify, and make role-playing more immersive. The relative digital literacy skill levels of individuals varied, leading role-players to leverage the skills of more proficient or experienced community members. Given the broad appeal of online games and educational benefits of role-playing, implications and applications for digital literacy skills instruction and library programming are also discussed.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.383-393
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• 2008

Online games are the popular topic due to the increased total online game market volume nowadays. And many studies on online games are released. But most studies used the questionnaire method that reveals only section of the situation like a snapshot. For this reason, previous studies have a little limitation that does not show dynamical changing issues like a product life cycle and changes in customer's mind Because of this, we studied on online games with the system dynamic model which can show dynamic simulations to analysis time series data. We chose MMORPG (Massively Multi-play Online) RPG (Role Playing Game) in sort of online games because it has many absorbing factors and enthusiastic users. We designed the simulation model which analyzes the influences of update and CRM strategy on users. We put the game developer who is ready for updated version game and released that periodically and focused on dormant users who used to be enthusiastic about MMORPG. The simulation results showed that the update has positive influences on new users gathering and hold established users. And CRM strategies help to prevent dormant users from transferring to rivals by offering them re-absorbing factors. Through this study, we confirmed the importance of update on online games and the necessity of introducing CRM strategy in the online game market.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.152-162
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• 2019

In Korea there has been scant research on VR games. This work focuses then on college students' perceptions of VR games, factors motivating them to experience VR games, the important features of VR games. This study presents the results of in-depth interview with 10 college students who had recently experienced VR games. VR games, it is found, provide a high level of virtual reality, immersiveness, and controllability. Such attributes may be considered distinctive to mobile, PC, and video games. Gamers' intention to re-experience VR games is influenced by the following important factors: 4D effects in VR games, various VR game contents, freedom in games, unique experience chances, sense of reality, sense of thrill, action-based experiences, and playing in group (multiple player). Study findings also suggest that three important features in VR games known as immersion, engagement, and virtual presence play a pivotal role in influencing positive attitudes toward VR games. Practical implications are also discussed.the help of information technology.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.277-279
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• 2002

본 논문에서는 온라인 컴퓨터 게임에서 지능형 NPC가 수행할 수 있는 역할과 이러한 지능형 NPC를 구현하기 위해 요구되는 제어구조의 특성을 살펴본다. 그리고 종래에 사용되던 NPC 제어 방법들과 이들이 갖는 문제점들을 살펴보고 새로운 대안으로서 NPC 제어를 위해 UH-PRS의 적용을 제안한다. 따라서 본 논문에서는 UM-PRS에 대한 간략한 소개와 NPC 제어구조에 적합한 UM-PRS의 특성을 설명한다. 또 본 논문에서는 대표적인 롤플레잉(role-playing) 게임인 Ultima Online에 서 개발중인 Umtimabot의 설계를 통해 U7-PRS의 적용가능성과 효과를 알아본다.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.241-252
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• 2024

We analyze the types of Web3 business model innovation (BMI) of the six major Korean game companies by market size. As a result of the analysis, Nexon is watched as the adapter. It introduces blockchain (BC) layer 2, 'Polygon' to the extended ecosystem such as the creator's secondary creation, item utility, and compensation experience using the existing core intellectual property (IP). KakaoGames and Neowiz are watched as the adventurers. KakaoGames introduces BC layer 2, 'Polygon' and 'Near Protocol' to various experiments using tokenomics models in casual games and massively multiplayer online role-playing games (MMORPGs) using several existing popular IPs. Neowiz also introduces BC layer 2, 'Polygon' and 'Avalanche' to the IntellaX platform using existing game IPs. As the reinventor, Netmable positions as a game publisher that releases third-party games based on multi-chain infrastructure such as Klaytn, BNB Chain, Near Protocol, Aptos Foundation, and introduces BC to new core IPs. Finally, there are Wemade and Com2us as the mavericks. They aim to be the Web3 platform operators that create a BC layer 1 ecosystem and provide services that encompass BC games, GameFi, and non-fungible tokens (NFTs). Here are the implications of the four types of BMI. In terms of infrastructure, Nexon, KakaoGames, and Neowiz try to introduce a part of cross-chain, whereas Netmable tries to move toward a complete multi-chain strategy, and Wemade and Com2us also try to consider multi-chain, even if they have the full BC introduction. In terms of defending against market decline, Nexon and Netmable have a different position. Nexon which has a greater market dominance, only tries to continuously experiment, but Netmable is aggressively focusing on monetizing new products. Attacks on growth aspirations also show two different positions. KakaoGames and Neowiz only try to aggressively explore, while WeMade and Com2us try to set new standards for industrial innovation.

• The Journal of Information Systems
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• v.25 no.4
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• pp.23-36
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• 2016

Purpose Recently, many researchers have paid much attention to the Artificial Intelligence fields of GVGP, PCG. The paper suggests that the improved MCTS algorithm to apply for the framework can generate better AI agent. Design/methodology/approach As noted, the MCTS generate magnificent performance without an advanced training and in turn, fit applying to the field of GVGP which does not need prior knowledge. The improved and modified MCTS shows that the survival rate is increased interestingly and the search can be done in a significant way. The study was done with 2 different sets. Findings The results showed that the 10 training set which was not given any prior knowledge and the other training set which played a role as validation set generated better performance than the existed MCTS algorithm. Besed upon the results, the further study was suggested.