• Title/Summary/Keyword: Network game

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A Study of an Education Network Simulation Game for Democratic Citizenship Education (민주 시민 교육을 위한 교육용 네트웍 시뮬레이션 게임에 관한 기초 연구)

  • Koo, Jung-Mo;Park, Jong-O;Kim, Seong-Sik
    • The Journal of Korean Association of Computer Education
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    • v.4 no.2
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    • pp.13-20
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    • 2001
  • To solve modern social problems, it is important that improve the democratic citizenship quality of people. This quality includes the rational and democratic problem-solving capacity, decision-making capacity, democratic skills and attitudes such as human dignity, dialogue, compromise. To use an educational network simulation game that has the merits of game, simulatio and network will help children to improve the democratic citizenship educaiton. This study explorers the structure, flow, system, database, interface and teaching-learning tool for this educational network simulation game.

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Implementation of VR Multi-games using Photon Network, 'Arcade VR Battle' (포톤 네트워크를 이용한 VR 멀티게임 구현, 'Arcade VR Battle')

  • Han-Moi Shim;Jun-Han Shin;Geon Namgung;Min-Woong Lee;Yong-Sik Kwak
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.467-468
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    • 2023
  • 현재 게임 시장에서 VR 게임이 가지는 영향력은 점차 증가하는 추세이다. 기존의 VR게임들은 대부분 Multi-Play를 지원하지 않는다. 이에 따라 본 논문에서는 Photon Network와 XR Plugin을 사용하여 2명의 플레이어가 함께 즐길 수 있는 Arcade 장르의 VR 경쟁 Multi-Game을 구현하였다. 이에 필요한 서버는 리슨 서버 방식으로 Master Client가 게임을 시작하면, Game에 참가한 다른 Client Player는 Photon Network의 RPC 기능을 사용하고 Player의 동작, Game 진행 상황 등을 실시간으로 Server에 동기화하여 Multi-Play게임을 할 수 있다.

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Analysis of Innovation Patterns of Korean Online Game Industry (한국 온라인게임 산업의 서비스 혁신패턴 분석)

  • Nam, Young-Ho
    • Journal of Information Technology Applications and Management
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    • v.15 no.1
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    • pp.117-137
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    • 2008
  • Using the service innovation system model, the development of Korean online game industry is analyzed. The model proposed by Gallouj (2002) is modified in order to reflect IT service characteristics such as network externalities. Success factors and innovations patterns of Korean online game industry are examined. First, at the early stage of her growth, Korean online game industry was not supported or coordinated by any Government policies unlike DRAM, CDMA or TFT-LCD. Many parts of technical and service innovations were unintentionally initiated by online game developing ventures without predeterminde strategies. Second, the online game industry is basically a service industry so that users' needs and technical and service characteristics are intertwined to produce innovation. The innovation system of the online game industry is quite different from conventional product technological innovation systems in a sense that there are no blueprints for innovation as well as major players in the system. Third, Government's policies for promotion of IT industry such as the broadband infrastructure installation policy, the hi-tech venture promotion policy and the military exemption policy contributed greatly to development of the online game industry. However, these policy tools were not intended for online game industry but in the end gave a great impact on the service innovation system of the online game industry.

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Novel Ubiquitous Concept of Real Reality Robot Game Controlled by Mobile Server Robot

  • Joo, Byoung-Kyu;Jeon, Poong-Woo;Jung, Seul
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2481-2485
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    • 2003
  • In this paper novel concept of real reality robot game controlled by a mobile server robot is proposed. Real reality robot game means that two real robots controlled by two human operator through the internet are playing a boxing game. The mobile server robot captures playing images of the boxing game and send them to GUI on the screen of human operators’ PC. The human operator can login to boxing game from any computer in any place if he/she is permitted. Remote control of boxing robot by a motion capture system through network is implemented. Successful motion control of a boxing robot remotely controlled by a motion capture system through network can be achieved.

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Implementation of Real Reality Robot Game for Environment of Ubiquitous Concept (유비쿼터스 개념 환경하에서 실제 현실 로봇 게임 구현)

  • Joo, Byung-Kyu;Jeon, Poongwu;Jung, Seul
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.12
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    • pp.977-983
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    • 2005
  • In this paper, novel ubiquitous concept of real reality robot game controlled by a mobile server robot is proposed. Real reality robot game means that two real robots controlled by humans/computers through the internet are playing a boxing game. The mobile server robot captures playing images of the boxing game and sends them to GUI on the screen of human operators' PC. The human operator can login to the boxing game from any computer in any place if he/she is permitted. Remote control of a boxing robot by a motion capture system through network is implemented. Successful motion control of a boxing robot remotely controlled by a motion capture system through network can be achieved. In addition, real boxing games between a human and a computer are demonstrated.

Reliability Effect Analysis for Game Software Verification and Validation (게임 소프트웨어의 확인 및 검증에 대한 신뢰도 영향 분석)

  • Son, Han-Seong;Roh, Chang-Hyun
    • Journal of Korea Game Society
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    • v.11 no.6
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    • pp.53-60
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    • 2011
  • Since the importance of software reliability for game service increases continuously, the reliability evaluation becomes very important. This research performed an experiment which was intended to analyze the effect of software verification and validation, a representative activity of the software development process, on the software reliability. The results from the experiments provided the reliability evaluation based on the development process (e.g., Bayesian Belief Network based reliability estimation) with very useful bases.

A system dynamics study on the Trust and Cooperation in the Policy Implementation Network (정책집행 네트워크에서의 신뢰와 협력생성에 관한 시스템다이내믹스 연구)

  • 박성진;맹보학
    • Korean System Dynamics Review
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    • v.1 no.2
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    • pp.61-89
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    • 2000
  • The purpose of this study is first, to find out what factors affect the cooperation and trust within the functions in the policy implementation network and in what mechanism these factors interact, second to investigate the whys to manage trust and cooperation successfully in the dynamic situation such as the network setting. For these purpose, this study reviews the concept and characteristics of policy implementation organizations, second, extracts the various factors affecting trust and cooperation in the network situation, third applies and analyzes the relationship among factors to system dynamics model based on the game theory. The results of this study could be summarized as follows: It was found that the utility change within the participants by persuasion & mutual understanding and change of rule would be leading to success in policy implementation network. Also bureaucratic management such as power enforcement does not have any good impact in the managing network. In this study, system simulation method tried to analyze the hypothesis. Quantitative and case analyses were not accompanied and analysis was limited to two-person game theory. So there is some doubt this results could be generalized to actual situation which is N-person game.

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Game Theoretic based Distributed Dynamic Power Allocation in Irregular Geometry Multicellular Network

  • Safdar, Hashim;Ullah, Rahat;Khalid, Zubair
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.199-205
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    • 2022
  • The extensive growth in data rate demand by the smart gadgets and mobile broadband application services in wireless cellular networks. To achieve higher data rate demand which leads to aggressive frequency reuse to improve network capacity at the price of Inter Cell Interference (ICI). Fractional Frequency Reuse (FFR) has been recognized as an effective scheme to get a higher data rate and mitigate ICI for perfect geometry network scenarios. In, an irregular geometric multicellular network, ICI mitigation is a challenging issue. The purpose of this paper is to develop distributed dynamic power allocation scheme for FFR based on game theory to mitigate ICI. In the proposed scheme, each cell region in an irregular multicellular scenario adopts a self-less behavior instead of selfish behavior to improve the overall utility function. This proposed scheme improves the overall data rate and mitigates ICI.

Forecasting Ecosystem Changes in Virtual Reality Game Industry using Scenario Network Mapping (가상현실게임 산업의 생태계 변화 예측 및 대응 전략)

  • Rhee, Chang Seop;Rhee, Hyunjung
    • Journal of Korea Game Society
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    • v.18 no.2
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    • pp.15-26
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    • 2018
  • Virtual Reality(VR) is one of the most remarkable technologies in the current game industry. Nevertheless, it is difficult for the game industry to actively invest in the VR technology because of the technical problems to overcome and the uncertainty about the market possibility. Therefore, this study attempts to estimate the future possibilities of the VR game market in various angles. For the purpose, we explore the domestic game market from the past to the present, and forecast the game industry ecosystem using the Scenario Network Mapping. Based on the result, we propose a short and long term future prospect and suggest the possible strategies for each stakeholder of the VR game market.

Comparison of Reinforcement Learning Activation Functions to Improve the Performance of the Racing Game Learning Agent

  • Lee, Dongcheul
    • Journal of Information Processing Systems
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    • v.16 no.5
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    • pp.1074-1082
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    • 2020
  • Recently, research has been actively conducted to create artificial intelligence agents that learn games through reinforcement learning. There are several factors that determine performance when the agent learns a game, but using any of the activation functions is also an important factor. This paper compares and evaluates which activation function gets the best results if the agent learns the game through reinforcement learning in the 2D racing game environment. We built the agent using a reinforcement learning algorithm and a neural network. We evaluated the activation functions in the network by switching them together. We measured the reward, the output of the advantage function, and the output of the loss function while training and testing. As a result of performance evaluation, we found out the best activation function for the agent to learn the game. The difference between the best and the worst was 35.4%.