• Title/Summary/Keyword: Cross-Platform Game

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Development of a Mobile App Combining React Native and Unity3D for Chromakey-based Image Composition (React Native와 Unity3D를 활용한 크로마키 기반 이미지 합성 모바일 앱 개발)

  • Kim, Seung-Jun;Seo, Beom-Joo;Cho, Sung-Hyun
    • Journal of Korea Game Society
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    • v.20 no.4
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    • pp.11-20
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    • 2020
  • In the rapidly changing mobile app market, it is crucial to develop a good idea quickly and receive its market evaluation. For a small-sized company, however, it is very challenging to rapidly develop and deploy their products in response to highly fragmented mobile environments. This article demonstrates that our integrated development environment using both React Native and Unity3D when developing a mobile app achieves a high level of functionality and performance requirements successfully. Moreover, this integrated environment helps reduce development costs and shorten development time.

Design of Fishing Game Based on a Cross-Platform Server

  • Chang, Jaewoo;Kong, Hyunseung;Kim, Soo Kyun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.4
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    • pp.45-51
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    • 2022
  • Due to the spread of COVID-19, many local governments are burdened with the influx of large-scale tourists. As a climate that values Work-Life-Balance has emerged, interest in individual life and satisfaction is rapidly increasing. In addition, due to the popularity of the metaverse field, many people are increasingly interested in related content. In particular, "Animal Crossing: New Horizons" sold more than 15 million copies in 2020, and is enjoying exchanges of interior design, fishing, and collecting insects here. In line with this trend, this study introduces the development of online fishing games based on Jeju infrastructure. This paper focuses on implementation and development, and in particular, it introduces differentiated games through character animation optimized for developing a topographic model that maximizes the beauty of Jeju Island's topography based on the Unity 3D engine.

Development of App Game Engine For Mobile OS Cross-Platform Support (모바일 OS 크로스 플랫폼 지원을 위한 앱 게임 엔진 구축)

  • Kim, MinHo;Jung, KyoungJin;An, DongUn
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.325-327
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    • 2014
  • 애플의 iOS가 처음 출시되고 앱 마켓이 공급자와 소비자 모두에게 각광을 받으며 성공하자 구글에서도 Android를 내세워 구글 마켓을 오픈하였고 결국 다양한 종류, 높은 품질의 애플리케이션들이 사용자들에게 공급되게 되었다. 언제 어디서나 스마트 폰을 통해 고품질의 다양한 앱을 이용할 수 있다는 점이 부각되어 각 마켓의 다운로드 횟수가 급증하는 등 폭발적인 앱 시장을 이룩하게 되었다. 하지만 개발자의 입장에서는 같은 솔루션을 개발할 때 모든 플랫폼을 지원하기 위해 각각의 OS에 맞게 따로 개발하기 때문에 오히려 전체 개발기간이 늦어지는 요소가 되었다. 이런 비효율적인 개발 기간을 단축하기 위해 상용엔진을 구매하여 적용하는 경우가 있지만 영세한 규모의 프로젝트 팀에서 적용하기에는 무리가 있으며 엔진 자체를 배우거나 개발하려는 앱을 위한 커스터마이징하는 기간 역시 짧지 않아 좋은 선택이 될 수 없다. 이에 본 논문에서는 모바일 OS 크로스 플랫폼 지원이 가능한 게임 엔진을 구축하기 위한 방법을 설명하고 이를 활용하여 개발된 프로젝트를 테스트하여 초당 54~61frame 이라는 그래픽 출력 속도를 보임으로써 해당 엔진의 활용 가능성을 증명하였다.

Optimisation of multiplet identifier processing on a $PLAYSTATION^{(R)}$ 3 (플레이스테이션 3 상에서 수행되는 멀티플렛 식별자의 최적화)

  • Hattori, Masami;Mizuno, Takashi
    • Geophysics and Geophysical Exploration
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    • v.13 no.1
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    • pp.109-117
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    • 2010
  • To enable high-performance computing (HPC) for applications with large datasets using a $Sony^{(R)}$ $PLAYSTATION^{(R)}$ 3 ($PS3^{TM}$) video game console, we configured a hybrid system consisting of a $Windows^{(R)}$ PC and a $PS3^{TM}$. To validate this system, we implemented the real-time multiplet identifier (RTMI) application, which identifies multiplets of microearthquakes in terms of the similarity of their waveforms. The cross-correlation computation, which is a core algorithm of the RTMI application, was optimised for the $PS3^{TM}$ platform, while the rest of the computation, including data input and output remained on the PC. With this configuration, the core part of the algorithm ran 69 times faster than the original program, accelerating total computation speed more than five times. As a result, the system processed up to 2100 total microseismic events, whereas the original implementation had a limit of 400 events. These results indicate that this system enables high-performance computing for large datasets using the $PS3^{TM}$, as long as data transfer time is negligible compared with computation time.