• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.6
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• pp.677-685
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• 2011

In order to enhance public transportation and to maintain information credibility, improvement of accuracy regarding route and positional information of public transport is very significant. There have been a variety of methods using GPS to measure accuracy of location-based services. However, the researches of evaluation regarding kinematic position of linear objects measured by vehicle/kinematic GPS are still insufficient. That's why our paper aims to suggest method of evaluation accuracy on a real-time bus route surveyed by GPS by SBM(Single Buffering Method). To make it come true, we compared the findings on the static and dynamic positioning by using PP(Point Positioning), DGPS and GPS/INS integrated systems and analyzed the accuracy and error effects among them, focusing on Anyang city. Consequently, we can find out that in case of P.P. comparing positioning accuracy between RTK DGPS and GPS/INS, both of them have survey result within a margin of error of 5m. More importantly, we can evaluate positional accuracy of each GPS system based on the work provision of a public survey such as error for P.P.(14.5m, 18.1m), DGPS(16.9m, 18.5m), and GPS/INS(18.4m, 18.5m). We are expecting that proposed method in our paper can be utilized in a wide range of categories such as feasibility testing of GPS field survey and high accuracy of positioning for Bus Information System.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1242-1248
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• 2008

In this paper, we propose a multi-stage user authenticating system in which system at first stage, the system authenticate a user through his GPS information and IP address. At second stage, the system authenticate a user based on ID and Password as other systems does. Through the use of proposed system, aged person or children enjoy the game on a much safer environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.8
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• pp.1175-1180
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• 2002

In this paper, we implemented the sign board that is able to display the located based information by adding the GPS module to the board that display the DARC information and user`s message. The global positioning information from GPS module gets more correct by DGPS from DARC module. This information help this system select the located based information for broadcasting. From the experiment, we confirmed that this system displayed user`s data, DARC information data and located based information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1055-1062
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• 2015

A GPS based wave height meter system is proposed in this paper. The proposed system uses a dual-frequency measurements, a precise GPS satellite information and a PPP-based navigation algorithm to estimate the position with high accuracy. This method does not need to receive corrections from the reference stations. Therefore, unlike RTK based wave meter, regardless of the distance to the reference stations, it is possible to estimate position with high accuracy. This system is very simple and accurate system, but accelerometer-based system requires the other sensors such as GPS. Because position error is accumulated in the accelerometer system and must be removed periodically for high accuracy. In order to get the measurements and test the proposed wave height meter system, a buoy equipped with the test platform is installed on the sea near by Jukbyeon habor in Uljin, Korea. Then, to evaluate the performance, compares built-in commercial wave height meter with proposed system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.121-130
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• 2009

In this paper, Gaussian probability distribution model based multi-sensor data fusion algorithm is proposed for a vehicular location awareness system. Conventional vehicular location awareness systems are operated by GPS (Global Positioning System). However, the conventional system is not working in the indoor of building or urban area where the receiver is difficult to receive the signal from satellites. A method which is combined GPS and UWB (Ultra Wide-Band) has developed to improve this problem. However, vehicular is difficult to receive seamless location information since the measurement systems by both GPS and UWB convert the vehicle's movement information separately at each sensor. In this paper, normalized probability distribution model based Hybrid UWB/GPS is proposed by utilizing GPS location data and UWB sensor data. Therefore the proposed system provides information with seamless and location flexible properties. The proposed system tested by Ubisense and Asen GPS in the $12m{\times}8m$ outdoor environments. As a result, the proposed system has improved performance for accurateness and connection ability between devices to support various CNS (Car Navigation System).

• The KIPS Transactions:PartA
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• v.13A no.5 s.102
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• pp.435-444
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• 2006

Recently, various applications of location trigger service have been required and developed as users of location-based services are increasing. The location trigger is detecting event of entering in, existing in or leaving from pre-specified area, and then alerting by short message service, an e-mall or servicing other pre-defined action to mobile subscribers. The conventional methodology of supporting location trigger is detecting location trigger events as periodical requesting location of mobile communication terminal to location gateway server in mobile communication network. But these conventional methods cause mobile communication interruption when the location trigger services are overloaded; thereby inducing performance of core server to be fell off. So in this paper, we have studied a new location trigger technology, named multilevel location trigger, to reduce mobile core network sewer triggering bottleneck and power consumption caused embedded GPS device of mobile phone. Actually, as design and evaluating the performance of location trigger after building test-bed environment, we contribute toward improving echnology of location trigger.

• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.4
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• pp.432-440
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• 2015

UGVs(Unmanned Ground Vehicles) are robots that can substitute humans in reconnaissance operations of potentially dangerous and contaminated sites. Currently, there have been active research on utilizing UGVs in military environments. Much resrach has been focused on exploiting the weakness of topology-based routing and instead utilize location-based routing for the networking of UGVs. It is generally assumed that location-based routing methods can fully utilize the location information gained from GPS. However, this may not be possible in tactical environments due to enemy GPS jamming and LOS(Line of Sight) limitations. To solve this problem, we propose a location-based routing scheme utilizing low control message that can calibrate the location information using GPS information as well as location of neighboring UGV, movement direct and speed information. Also utilizing topology-based routing scheme to solve incorrect location information in GPS jamming region.

• Journal of the Korea Convergence Society
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• v.1 no.1
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• pp.23-29
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• 2010

The various kinds of application is distributed for the Smart phone user recently. There is the advantage that the open source application on Android operating system based Smart phone supports a multi tasking service. Layar, Wikitude, and Sherpa and the other applications using the GPS location information like an a2b etc. were developed in the Smart phone environment. However, the existing Cell-ID based location information can be directly collected by the mobile ISP unit which the mobile carrier installs, the personal privacy problem occurs. Therefore, the personal location information is possible to be exposed publicly without any access control procedure. Therefore, in this research, the self-control mechanism on the GPS location information at the Smart phone is designed and presented. Through this, it is possible to develop diverse applications providing enhanced access control and GPS location management on the Android based Smart Phone.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.6
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• pp.401-410
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• 2020

In this study, a real-time Tactical UAS position compensation system based on image information developed to compensate for the weakness of location navigation information during GPS signal interference and jamming / spoofing attack is described. The Tactical UAS (KUS-FT) is capable of automatic flight by switching the mode from GPS/INS integrated navigation to DR/AHRS when GPS signal is lost. However, in the case of location navigation, errors accumulate over time due to dead reckoning (DR) using airspeed and azimuth which causes problems such as UAS positioning and data link antenna tracking. To minimize the accumulation of position error, based on the target data of specific region through image sensor, we developed a system that calculates the position using the UAS attitude, EO/IR (Electric Optic/Infra-Red) azimuth and elevation and numerical map data and corrects the calculated position in real-time. In addition, function and performance of the image information based real-time UAS position compensation system has been verified by ground test using GPS simulator and flight test in DR mode.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.139-148
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• 2004

사용자의 지리적 위치에 따른 서비스를 제공하는 위치기반서비스는 유비쿼터스 컴퓨팅의 중요한 응용으로 여러 위치 감지기술과 다양한 시험 및 상용 서비스들이 개발되어 왔다. 하지만 기존의 위치기반서비스는 단순히 위치와 서비스를 정적으로 연결하는 기법에 그치고 있어 서비스의 유연성이 떨어지는 한계가 있다. 이를 개선하기 위해 위치 정보로부터 고수준 정보를 추론하여 보다 지능적인 서비스를 제공하려는 연구들이 이루어지고 있다. 본 논문에서는 사용자의 위치이동 데이터를 학습하여 미래의 위치 이동 경로를 예측하는 기법을 제안한다. GPS(Global Positioning System)를 사용하여 수집된 시퀸스 데이터를 시퀸스 데이터 처리에 특화된 RSOM (Recurrent Self Organizing Map)을 사용하여 클러스터링하고 이를 마르코브 모델을 사용하여 학습하여 각 위치 이동 패턴 모델을 구축한다. 현재의 위치이동 패턴을 구축된 각 이동패턴 모델들과 비교하여 가장 유사한 위치 이동패턴으로 미래의 사용자이동을 예측한다. 제안한 위치이동 예측 기법을 평가하기 위해 실제 대학생의 생활을 기반으로 하여 GPS 데이터를 대학 캠퍼스 상에서 수집하고 이를 이용하여 제안한 방법의 학습 및 예측 성능을 평가한다. 그 결과 제안한 방법을 사용하여 사용자의 미래의 위치이동경로를 예측하는 것이 가능하고 불확실한 상황에서도 유연하게 예측을 수행함을 확인하였다.