• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.46-48
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• 2010

최근 스마트폰 동향은 기존에 연구되고 개발되어진 기술들이 다양한 현실 환경에 응용 가능하도록 새로운 기술들과 접목되어져 많은 어플리케이션에 사용되어지고 있다. 본 논문에서는 개발자와 사용자들에게 각광받고 있는 기술들로 GPS(Global Positioning System), 증강현실(Augmented Reality), 동작인식(Motion Detection)등의 기술사용을 접목한 게임사례들의 기술적 요소에 접근하여 자체기술을 활용한 게임디자인을 제안하고자 한다. 기존 휴대폰이라는 매체의 제한된 속성에서 한 단계 발전한 스마트폰 어플리케이션 기반 게임의 분석은 게임의 새로운 장르 발전과 사용자의 통합적 감각 경험에 의한 가상공간에서의 만족도를 증진시킬 수 있으리라 기대하며 이러한 기술을 토대로 차후 게임제작에 적용되었을 때 더 나은 효과를 발휘하리라 사료된다.

• Journal of Platform Technology
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• v.6 no.2
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• pp.3-9
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• 2018

Recently VR environment is used in many areas including mobile learning, smart factory. However HMD(head-mounted display) is required to a dedicated and expensive system with high-end specification. When designing a VR system, it is needed to handle performance, mobility and usability. Many VR applications need to handle diverse sensors and user inputs continuously in a streaming manner. In this paper we design a VR mobile platform and implement a low-cost mobile VR HMD running on the platform. The VR HMD supports 3D contents delivery in a mobile manner. It is used to detect the motion detection based on angle value of a VR player from accelerator and gyro sensor. The MPU-6050, 6-axis sensor, is used to get a sensory value and the sensory value is taken as an input to a VR rendering server on a Unity game engine that is generated 3D images.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.3-14
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• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.