• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.786-791
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• 2021

In this paper, in order to minimize limitations such as signal interference and positioning errors in existing indoor positioning systems, a smart LED-based positioning system for excellent line-of-sight radio environments and precise location tracking is proposed to improve accuracy. An IEEE 802.4 Zigbee module is mounted on the SMPS board of a smart LED; RSSI and LQI signals are received from a moving tag, and the system is configured to transmit the measured data to the positioning server through a gateway. For the experiment, the necessary hardware, such as the gateway and the smart LED module, were separately designed, and the experiment was conducted after configuring the system in an external field office. The positioning error was within 70cm as a result of performing complex calculations in the positioning server after transmitting a vector value of the moving object obtained from the direction sensor, together with a signal from the moving object received by the smart LED. The result is a significantly improved positioning error, compared to an existing short-range wireless communications-based system, and shows the level at which commercial products can be implemented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1370-1374
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• 2013

The suitcase can follow its owner all on its own via the Bluetooth connectivity in your phone. A robotic vacuum cleaner than can understand voice commands and even follow homeowner. Robots are used in a variety of applications such as a robot wheelchair. In this paper, I focus the problem of automatic return to the base in the process of developing the moving robot for loading things. In this paper, I propose the indoor localization method which is able to determine the position of the robot in the building by using image processing techniques.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.65-66
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• 2015

안압지에는 임해전이라는 정자가 있다. 임해전 내부에는 안압지 조감도가 중앙에 놓여 있고, 가장자리를 따라 안압지에서 출토된 유물들이 전시되어 있다. 그래서 안압지 관광 가이드 앱을 구현하려면 임해전 내부에서 사용자 위치를 판정하는 실내 측위 앱이 있어야 한다. 스마트폰 센서를 이용한 실내측위 방법으로 추측항법 방법이 가장 적당하다. 추측항법을 구현하려면 출발점 좌표를 알아야 하는데, 본 연구에서는 사용자가 임해전 내로 진입하는 순간을 포착하여 임해전 입구를 출발지점으로 지정한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.357-360
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• 2014

화재 현장에 투입된 소방대원들은 각종 위험한 환경에 장시간 노출된 상태로 활동을 하고 있으며 또한 열과 연기 등으로 인하여 시야 확보가 매우 어렵고 장시간 화재 진압 및 구조 활동으로 인하여 급격한 체력 저하로 야기되는 소방대원의 인명 피해가 발생되고 있다. 그러므로 본 논문에서는 이러한 인명 피해를 막기 위하여 투입된 소방대원의 위치 추적 및 상태 등을 확인하여 만약에 고립된 소방대원이 있을 경우 안전하게 탈출 할 수 있는 실내 측위 및 추적 기술에 대하여 연구한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.262-264
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• 2013

본 논문은 실내에서 사용자의 위치를 측위하기 위해 건물 실내에 설치되어 있는 Wireless AP(Access Point)에서 발신되는 RSSI(Received signal strength indication)를 수집한 후 Friis 공식을 통해 거리로 변환하여 위치를 측위한다. Friis 공식을 적용하는 과정에서 RSSI 신호가 약할수록 거리의 오차가 매우 심하게 변동되기 때문에 본 논문에서는 이러한 오차를 개선하기 위해 신호세기가 강한 2개의 AP좌표와 RSSI를 이용하여 두 원의 교점을 구하는 방정식과 좌표 사이의 거리를 구하는 방정식을 사용하는 위치측위 시스템을 구현하였고, 실험결과 제안한 방법이 기존의 삼각측량법보다 오차가 개선되었음을 확인할 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.352-354
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• 2016

Recent with the progress of smart devices, there is an increasing demand for indoor location-based services. For this reason, research on indoor positioning system using a iBeacon techniques added to BLE(Bluetooth Low Energy) specifications of Bluetooth4.0 has been actively. However, RSSI signal used for the measurement of the distance between the iBeacon and the receiving terminal has the problems of inaccurate distance measurement to environmental factors such as obstacles. In this paper, we propose an implemented indoor positioning technique to use filtering technology enhance the reliability of the RSSI signal and the broadcasting signal of the terminal access point function.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.2B
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• pp.119-129
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• 2009

According to the advent of the ubiquitous environment, not only a location based service at the outside but also a location based service at the inside was more increased socially. Accordingly, this paper proposes the efficient determination system to locate a object in frequent change of indoor environment. Proposing system in this paper introduce the NLOS identification and mitigation to resolve NLOS problem, using this way that corrects location data as RWA and KF apply to result data can improve accuracy of a object. At last we are going to compare and analyze existing typical triangulation with proposed indoor location determination system to demonstrate algorithm efficiency for proposed indoor location determination system.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2012.06a
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• pp.135-135
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• 2012

USN(Ubiquitous Sensor Network)을 이용한 실내 위치 인식 기술은 주요한 연구 분야이며 산업에 미치는 영향이 매우 크다. 좁은 복도 환경에서는 삼변측위를 이용하지 않고 이변측위만 이용하더라도 Mobile Node의 위치 측정이 가능하다. 하지만 이변측위를 이용할 경우 Reference Node 사이의 간격이 멀어 질수록 Mobile Node의 위치 정보 수신율이 떨어져 Mobile Node의 위치를 표시할 수 없게 된다. 따라서 본 연구에서는 관성센서 및 초음파 센서를 이용하여 위치 정보의 수신이 이루어지지 않는 상황에서도 Mobile Node의 위치를 표시할 수 있게 구성하고 실험을 통하여 검증하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.1
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• pp.65-71
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• 2006

There has been equipped wireless network infrastructure making possible to contact mobile computing at buildings, university, airport etc. Due to increase of mobile user dramatically, it raises interest about application and importance of LBS. The purpose of this study is to develop an indoor positioning system which is position of mobile users using Wireless LAN signal strength. We present Euclidean distance model and Bayesian inference model for analyzing position determination. The experimental results showed that the positioning of Bayesian inference model is more accurate than that of Euclidean distance model. In case of static target, the positioning accuracy of Bayesian inference model is within 2 m and increases when the number of cumulative tracking points increase. We suppose, however, Bayesian inference model using 5- cumulative tracking points is the most optimized thing, to decrease operation rate of mobile instruments and distance error of tracking points by movement of mobile user.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.11
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• pp.1490-1501
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• 2016

In this paper, we propose an image-based indoor localization system using parallel distributed computing. In order to reduce computation time for indoor localization, an scale invariant feature transform (SIFT) algorithm is performed in parallel by using Apache Spark. Toward this goal, we propose a novel image processing interface of Apache Spark. The experimental results show that the speed of the proposed system is about 3.6 times better than that of the conventional system.