2013, Vol.8, No.2

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

The concern with management of underground facility has been growing for the last several years. As several researchhave been made on management for waterworks pipe using TDR technology. In contemporary, development of ITtechnology in all areas of a large ripple effect technology is the Augmented Reality(AR). Also, various facility managementsystems using AR technology are studied and developed with the advancement of the smart device. AR is essentialtechnology for the implementation of facility management system, which has GPS, camera and sensor of smart device. Andit manages data of underground facility with pipe-networks segment DB effectively and provides practical effectiveness ofentire monitoring system through GPS receiving module and sensor network communication on AR. In conclusion, thispaper proposed facility database for AR-based management system using SQLite. Proposed database is tested through thesystem simulation.

Ever since the introduction of Iphone in 2009, mobile contents and app store had been rapidly developing, andsmartphone population in Korea has now reached 30 million consumers. During this period of rapid growth, a lot of gameusers have shifted from pc-based online game to mobile games, and new game engines are continuously coming out tocounter against the wide variety of online game platforms. This paper will explain how the past method of game-makingprocess that requires complex advance preparation can be replaced by an easier and simpler method through the usage ofUnity 3D Engine. It will show how Unity 3D Engine aids in complicated processes like optimization, G-Senser, andShader. Additionally, the paper will discuss how to actualize arcade games that are developed based on easy interface,simple controls, and character concepts targeted for teenage girls to women in twenties.

In this paper, we implement a real-time robust image object tracking system for PTZ(Pan-Tilt-Zoom) cameras. For imageobject tracking, we use the CAMshift algorithm based on the HSV color image distibution of detected moving objects. AsCAMshift algorithm requires much floating-poing computations, image flickering and data bottleneck are sometimes occurredaccording to the CPUs. In order to overcome the drawbacks, in the proposed system, we parallelize CAMshift algorithm byusing GPU(Graphic Processing Unit) in the CUDA enviorment. The experimental result shows that the speedup factor has12~14 times faster as compared as CPU method. This system can be applied to an effective and faster image surveillancesystem for continuous object tracking in a wider area.