• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.613-615
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• 2021

다양한 문화 콘텐츠가 MZ 세대를 위주로 발전된 만큼, 게임 또한 새로운 방향성들을 제시하고 있다. 그중 하나가 바로 '대체 현실 게임(ARG)'이다. ARG는 그 자체가 게임이 될 수도 있고, 세부적인 요인으로 작용될 수 있는 매력적인 장르이다. 하지만 리얼 타임과 배경을 고려한 만큼 게임의 주제가 시대적 혹은 트렌드에 뒤쳐졌을 경우 지속적으로 운영을 할 수 없게 되는 딜레마에 빠지게 된다. 본 논문에서는 '현실'과 '가상'의 상황이 적절하게 타협하여 지속성을 강화할 방법을 모색한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.83-84
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• 2023

2D 게임의 이미지들은 2D 스프라이트(Sprite) 조각들을 같은 평면에 겹쳐 그리는 방식으로 표현한다. 탑다운 뷰(Top-Down View) 2D 게임 시점은 평면의 그림에 입체적인 묘사를 함으로써 캐릭터나 오브젝트가 수직으로 일어서 있는듯한 3D 느낌을 전달한다. 그러나 실제로는 2D 평면이므로 3D 그림자 맵(Shadow Map) 방식을 사용할 수 없는 단점이 있다. 본 논문에서는 2D 스프라이트 오브젝트의 그림자를 3D 그림자맵으로 생성하는 방법과 동반되는 이슈들을 제시한다.

• Journal of Korea Game Society
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• v.8 no.4
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• pp.65-73
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• 2008

In this paper, we designed and implemented edutainment platform that can be effectively applied to developmental disabilities for their education and treatment of sensibility and intelligence training. We developed embedded hardware and contents authoring tool to make multimedia contents operated on the hardware, a management tool to provide result of training, and a real-time monitoring tool for observing the state of study. The hardware is designed by considering the characteristics of developmental disabilities and provides visual, auditory and tactile sense to assist sensibility training for their attention. User-friendly and easy-to-use authoring tool enable teachers and non-specialist to make educational contents. Also the real-time monitoring tool make us to observe user's status even in the outside of classroom. The management tool stores result of training and make us to review the result for further steps. Using this edutainment platform, efficient repetitive training is possible without restriction of time and location. Also when it applied to practical education, we can recognize that our system is effective on improving the ability of attention and studying.

• Journal of Korea Game Society
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• v.7 no.1
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• pp.43-52
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• 2007

This article describes a new contribution culling method for fast rendering of complex huge urban scenes. A view frustum culling technique is used for fast rendering of complex scenes. To support the levels-of-detail, we subdivide the image regions and construct a weighted quadtree. Only visible objects at the current camera position contributes the current quadtree and the weight is assigned to each object in the quadtree. The weight is proportional to the image area of the projected object, so large buildings in the far distance are less likely to be culled out than small buildings in the near distance. The rendering time is nearly constant not depending on the number of visible objects. The proposed method has applied to a new metropolitan region which is currently under development. Experimental results showed that the rendering quality of the proposed method is barely distinguishable from the rendering quality of the original method, while the proposed method reduces the number of polygons by about 9%. Experimental results showed that the proposed rendering method is appropriate for real-time rendering applications of complex huge scenes.

• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.626-637
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• 2018

Human exchanges information not only through words, but also through body gesture or hand gesture. And they can be used to build effective interfaces in mobile, virtual reality, and augmented reality. The past 2D gesture recognition research had information loss caused by projecting 3D information in 2D. Since the recognition of the gesture in 3D is higher than 2D space in terms of recognition range, the complexity of gesture recognition increases. In this paper, we proposed a real-time gesture recognition deep learning model and application in 3D space using deep learning technique. First, in order to recognize the gesture in the 3D space, the data collection is performed using the unity game engine to construct and acquire data. Second, input vector normalization for learning 3D gesture recognition model is processed based on deep learning. Thirdly, the SELU(Scaled Exponential Linear Unit) function is applied to the neural network's active function for faster learning and better recognition performance. The proposed system is expected to be applicable to various fields such as rehabilitation cares, game applications, and virtual reality.

• Journal of Advanced Navigation Technology
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• v.11 no.2
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• pp.217-222
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• 2007

Recently PC games are trending toward online. But, mobile games are not using network actively. Because there are two problems that low speed of mobile network and low specification of mobile device in wireless internet environment. But, solving problems by these started HSDPA services and increased performance of devices. In this paper, we implement mobile on-line real time game for develop mobile network in wireless internet environment.

• Journal of Korea Game Society
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• v.4 no.3
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• pp.55-64
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• 2004

A dynamic graph is suitable for representing and managing dynamic changable obstacles or terrain information in 2D/3D games such as RPG and Strategy Simulation Games. We propose a dynamic hierarchical graph model with fixed level to perform a quick A* path finding. We divide a graph into subgraphs by using space classification and space model, and construct a hierarchical graph. And then we perform a quick path fading on the graph by using our dynamic graph operators. With our experiments we show that this graph model has efficient properties for finding path in a dynamic game environment.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.17-26
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• 2022

Sensor Nodes play a major role to monitor and sense the variations in physical space in various real-time application scenarios. These nodes are powered by limited battery resources and replacing those resource is highly tedious task along with this it increases implementation cost. Thus, maintaining a good network lifespan is amongst the utmost important challenge in this field of WSN. Currently, energy efficient routing techniques are considered as promising solution to prolong the network lifespan where multi-hop communications are performed by identifying the most energy efficient path. However, the existing scheme suffer from performance related issues. To solve the issues of existing techniques, a novel hybrid technique by merging particle swarm optimization and game theory model is presented. The PSO helps to obtain the efficient number of cluster and Cluster Head selection whereas game theory aids in finding the best optimized path from source to destination by utilizing a path selection probability approach. This probability is obtained by using conditional probability to compute payoff for agents. When compared to current strategies, the experimental study demonstrates that the proposed GTPSO strategy outperforms them.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1123-1129
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• 2015

Macro(automatic hunting) of mobile game is a program that touch the screen by defined rules like a game bot in PC online games, and it is used by make various ways like android application or windows application program. This gives honest users deprivation and make to lose their interest. Finally they would leave the game and gradually game life would be shorten. Although many studies to prevent these problems in PC online game are conducted, applying mobile game to PC's way is difficult because mobile games are limited to use the network and device performance is different with PC. In this paper, we propose a framework for macro detection by using the touch event information. A touch event on the mobile game is a necessary control command to the game. Because macro touches the screen with the same pattern, there is a difference between normal user's behavior and macro's operation. In mobile games that casual games are mostly, Touch event is the best difference that identify normal user against macro for a short period of time. As a result of detecting macros used in real mobile game by using the proposed framework it showed 100% accuracy and 0% false positive rate.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1415-1418
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• 2003

Recent performance improvement in computer and graphics hardware makes it possible to simulate a physical phenomenon in real time. VR department at ETRI has implemented a fast and robust physically based motion engine (PBM) for their general-purpose 3D online game engine. 'Dream 3D'. This paper shows the underlying algorithms of the PBM and introduces the structure and implementation results of it briefly.