• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.331-332
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• 2011

본 논문은 위치 측정 안드로이드 프로그램과 각도 측정 안드로이드 프로그램 구현 사례를 소개한다. 구현한 프로그램을 갤럭시 S에서 실험한 결과도 소개하고 갤럭시 S2에서 실험한 결과도 소개한다. 근래에 상황기반 서비스와 증강현실 서비스가 널리 연구되고 있는데 본 연구는 이러한 실용 시스템 개발의 첫 걸음이다.

• The KIPS Transactions:PartD
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• v.19D no.3
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• pp.237-246
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• 2012

Although the development of Global Positioning System (GPS) are more and more mature, its accuracy is just acceptable for outdoor positioning, not positioning for the indoor of building and the underpass. For the positioning application area for the indoor of building and the underpass, GPS even cannot achieve that accuracy because of the construction materials while the requirement for accurate positioning in the indoor of building and the underpass, because a space, a person is necessary, may be very small space with several square meters in the indoor of building and the underpass. The Received Signal Strength (RSS) based localization is becoming a good choice especially for the indoor of building and the underpass scenarios where the WiFi signals of IEEE 802.11, Wireless LAN, are available in almost every indoor of building and the underpass. The fundamental requirement of such localization system is to estimate location from Access Point (AP) to mobile device using RSS at a specific location. The Multi-path fading effects in this process make RSS to fluctuate unpredictably, causing uncertainty in localization. To deal with this problem, the combination for the method of Neural Networks and Push-Pull Estimation is applied so that the carried along the devices can learn and make the decision of position using mobile device where it is in the indoor of building and the underpass.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.208-210
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• 2014

IOT(Internet of Things) through Radio Frequency Identification (RFID), Wireless Sensors, Global Positioning Systems, Laser Scanners and other information sensing device, according to the agreed protocol keep anything connected to the Internet for information exchange and communication. It's a network what in order to achieve intelligent identify, locate, track, monitor and manage. With the development of IOT technology, data growth will explode once again on the existing basis, which gives data management enormous challenges. This paper described characteristics of data in IOT and analysis existing data management technologies, then proposed a data management framework to conduct the research on the data management of IOT.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.6
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• pp.909-914
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• 2011

In these days, according to the enhancement of the mobile communication technologies, location based services using the location and movements are vitalized. In this paper, we develop a private vehicle tracking system for garbage truck operation management using GPS and CDMA communication and Open map interface. The terminal equipment attached in vehicle receives the GPS signals and detect the position data including time, longitude, latitude, and altitude. And the terminal sends these data to the server PC through CDMA cellular network in fixed period. The server saves these data into database to process in map server program with which we can view real-time trace of moving vehicle. We apply our system to public garbage truck managing operation and we can increase operation efficiency by examine real-time working and moving path and by present reasonable operation rout.