• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.523-528
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• 2005

In this paper, we designed and made a bicycle with tangible interface using a game to make a tangible interface for health-care system. In particular, through a survey of the preference of users, we have showed a tangible machine which is possible to recognize users' control as a form of tangible interface, have presented the controllable method of a game contents, have provided the contents reality maximized using game AI and game physics.

• Journal of KIISE
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• v.42 no.11
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• pp.1423-1429
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• 2015

The Internet of Things (IoT) is a new concept associated with the future Internet, and it has recently become a popular concept to build a dynamic, global network infrastructure. However, the deployment of IoT creates difficulties in satisfying different Quality of Service (QoS) requirements and achieving rapid service composition and deployment. In this paper, we propose a new QoS control scheme for IoT systems. The Markov game model is applied in our proposed scheme to effectively allocate IoT resources while maximizing system performance. The results of our study are validated by running a simulation to prove that the proposed scheme can promptly evaluate current IoT situations and select the best action. Thus, our scheme approximates the optimum system performance.

• Journal of Korea Game Society
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• v.16 no.3
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• pp.87-96
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• 2016

As use of Internet increase, IoT(Internet Of Things), a interaction between connected devices, is widely used throughout industrial area. In this paper, we discussed what to consider when planning framework for contents using user's mobile devices and various sensors in IoT environment and suggest related techniques. Also, using the techniques suggested in this paper, we showed the prototype of the framework. Finally, we showed the possibility of games in the IoT environment by creating game in the IoT environment.

• Journal of Korea Game Society
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• v.18 no.3
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• pp.113-122
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• 2018

In this paper, we will discuss planning and production of VR contents for effective racing drone steering training. In the real world, direct racing drone training training is obviously a space and economic limit. We propose through the production of VR-based drone infiltration action game as a solution to these limitations and try to improve effective drone handling ability. Especially, we designed the virtual reality contents in a similar environment by using the similarity of FPV goggles and HMD based VR, and designed virtual drones, maps and obstacles considering the characteristics of the structures used in racing drone and drone racing. Also, we tried to increase the user's immersion and presence by increasing difficulty level of obstacles.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.143-149
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• 2013

Many researchers and developers take a greater interest on the LOD AI techniques as users demand more elaborate and sophisticated game AI in recent years. However, contrary to the traditional geometry LOD, existing LOD AI techniques can be used only to a limited extent. Therefore, in this paper, I propose an LOD AI technique, which uses HSM(Hierarchical State Machine) and the Lua script language as the method to control game objects. Using the proposed approach, we can easily produce multilevel AI models for LOD and design various objects without hard-coding state machines. Moreover, in order to show the effectiveness of the presented technique, this paper exemplifies the results of the efficiency test through the prototype engine.

• Journal of Korea Game Society
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• v.3 no.2
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• pp.86-92
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• 2003

Today, the visual description of body is viewed in various categories, and the circumstance of computers is regarded as new type of communication beyond the circumstance of individual body. In cyber space, when existence and role of character in computer game constitute communication, the ideal body description of each character depicts dramatic beauty, which rises above reality. On this thesis, analyzing the body description and transition on visual in, I grope for a method to utilize in creating game character which is modeled from ideal human being. Although the progress of producing character has already come to limit, concluding that we have to create character model which has marked individuality and beauty by adding modem and future analysis to the golden ratio, which has established since ancient Greece, this paper suggests the method of creating character which has the image of ideal human body.

• Digital Contents
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• no.6 s.109
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• pp.52-61
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• 2002

본고는 한국소프트웨어진흥이 국내와 세계시장의 '디지털콘텐츠산업의 현황'과 영상, 음악, 출판, 게임, 정보 등 각 '콘텐츠 분야별 시장현황'에 대해 연구한 보고서를 토대로 작성하였다. 세계 디지털콘텐츠 시장은 2001년 928억 달러 시장규모에서 연평균 33.8% 성장해 2006년에 3989억 달러의 시장규모를 형성하여 2003년 기준으로 볼 때 전체 콘텐츠에서 차지하는 디지털콘텐츠의 비중이 21%에 이를 것으로 전망된다. 국내ㆍ외 시장분석을 살펴보면 브로드밴드 네트워크를 통한 엔터테인먼트 콘텐츠의 수요증가와 무선 인터넷 활용 콘텐츠의 급속한 증가가 예상되어 향후 지속적으로 콘텐츠 산업은 높은 성장세를 유지할 것으로 전망된다. 특히 미국은 높은 기술력과 정보통신 인프라의 기술적 우위, 벤처 캐피탈의 과감한 투자와 지속적인 M&A를 통한 전략적 제휴 등으로 확고한 경쟁력을 보유하고 있어 주목할 만하다. 국내 디지털콘텐츠 산업은 2000년 이후 연평균 56.7%의 높은 성장률을 보이면서 괄목할 만한 성장을 하고 있지만, 2001년 현재 0.6%로 미미한 수준이다. 하지만 향후 온라인 교육의 확산, 무선인터넷 콘텐츠의 증가, 게임시장의 성장과 경쟁력 있는 게임소프트웨어의 수출등에 힘입어 2006년에는 1.31%로 점유율이 2배 이상 높아질 것으로 전망된다. 분야별 구성비를 보면 게임 27.8%, 영상 16.96%, 교육 11.8%로 세 분야의 매출액이 전체 콘텐츠 매출의 55.7%를 차지해 우리나라 콘텐츠 산업의 중심을 이루고 있다.

• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.974-982
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• 2019

Real-time 360 VR (Virtual Reality) stereo image acquisition technique based on game engine was proposed. However, GPU (Graphics Processing Unit) resource is not fully utilized due to bottlenecks. In this paper, we propose an improved GPU scheduling technique to solve the bottleneck of the existing technique and measure the performance of the proposed technique using the sample games of the commercial game engine. As a result, proposed technique showed an improvement of performance up to 70% and usage of GPU resources more evenly compared existing technique.

• Journal of Korea Game Society
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• v.18 no.6
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• pp.59-68
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• 2018

In spite of its simple rule, Go is one of the most complex strategic board games in the field of Artificial Intelligence (AI). Monte-Carlo Tree Search (MCTS) is an algorithm with best-first tree search, and has used to implement computer Go. We try to find the most promising first move using MCTS for playing a Go game on a board of size smaller than $9{\times}9$ Go board. The experimental result reveals that MCTS prefers to place the first move at the center in case of odd-sized Go boards, and at the central in case of even-sized Go boards.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.615-617
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• 2022

Currently, the 'Gacha' system is becoming an indispensable profit generation method for online and mobile games. The system, also called "probability randomization," proceeds with cash-based payments, and it is not clear how much money you need to use to obtain the item you want. So, in response to the backlash of users, game companies introduced a "ceiling" system that allows users to get the items they want if they use it for more than a certain amount, and added several profit generation methods using it. We examine the impact of this system on continuous billing induction.