• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.2
• /
• pp.302-313
• /
• 2018

As the demand for indoor location recognition system has been rapidly increased in accordance with the increasing use of smart devices and the increasing use of augmented reality, indoor positioning systems(IPS) using BLE (Bluetooth Lower Energy) beacons and UWB (Ultra Wide Band) have been developed. In this paper, a positioning plate is generated by using trilateration technique based on BLE Beacon and using RSSI (Received Signal Strength Indicator). The resultant value is used to calculate the PDR-based coordinates using the positioning element of the Inertial Measurement Unit sensor, We propose a precise indoor positioning algorithm that combines RSSI and PDR technique. Based on the plate algorithm proposed in this paper, the experiment have done at large scale indoor sports arena and airport, and the results were successfully verified by 65% accuracy improvement with average 2.2m error.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.1
• /
• pp.153-160
• /
• 2016

In this paper, we propose a system that tracks the position of the passengers and sailors using a Bluetooth-based Beacon in the ship. The position of the tracking passengers, sometimes fatal emergencies of the rescue team, such as the sinking of the ship is utilized in order to efficiently and quickly rescue the passengers, and the collected data can be utilized additionally by grasping the flow of human traffic patterns. The system proposed in this paper, install MAC data acquisition called AP (Access Point) for each cabin, and in the installed AP retrieves Tag of the information provided to the passenger and collected. A Tag has only its own MAC Address to the privacy, no user information is not collected. All data communication by sending and receiving MAC Address was only to ensure anonymity.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.7
• /
• pp.1307-1312
• /
• 2015

The recent adoption of Bluetooth LE technology in smart phones triggered commercial interest in RSSI-based positioning technology. Estimation error in RSSI measurement due to the antenna pattern, multipath fading, environmental noise has to be considered for designing beacon systems. The paper proposes an analysis method and beacon planning rules for a small and isolated indoor service area, based on probabilistic model of RSSI estimation error. As an practically important guide, the beacons have to be installed at the boundary of the service area to minimize the maximum position error, whereas the beacons have to be evenly distributed in the service space to minimize the average estimation error.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.278-279
• /
• 2015

Recently, With the development of smart devices of interest in the intelligent indoor positioning service with a smart terminal it is increasing. The BLE(Bluetooth Low Energy) is an indoor location positioning technology has attracted the attention. However, there is no way to check the reliability of the position information collected by the smart terminal receiving a big location data. This is because the reliability of an indoor position information because of a signal interference to drop. In this paper, we propose a method of managing big data collected in order to obtain reliable position information from the position information of iBeacon.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.07a
• /
• pp.187-188
• /
• 2016

실내에서 작업자의 위치 정보를 취득하면 사용자의 이동 경로 파악이나 물체의 지역화 및 상황인지 서비스가 가능하다. 최근, BLE(Bluetooth Low Energy) 비콘을 사용하여 작업자의 실내 위치를 파악할 수 있는 여러 가지 연구가 진행되고 있으나 BLE 비콘의 신호세기 강도와 RSSI(Received signal strength indication)의 정확도에 대한 에러율 증가로 인해 실내 작업자 위치 파악 연구에 어려움이 있다. 본 연구에서는 BLE 비콘에서 취득한 RSSI 정보에 대해 PCA, ICA, SVM의 패턴인식 알고리즘을 적용하여 인식정확도를 구하고, 여러 패턴인식 알고리즘 중에서 어떤 알고리즘이 인식정확도 측면에서 적용이 가능한지 제시하였다.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2021.05a
• /
• pp.36-37
• /
• 2021

OSC(Off-Site Construction) is regarded as a faster and more economical method in the construction industry, and the attention towards the OSC is growing. In the modular construction process, which is one type of OSC, accurate identification of a module is essential. Because the installation position and the MEP(Mechanical, Electrical, and Plumbing) composition are distinct between modules, a defect in the finishing or junction area is likely to happen during the construction process. This study suggested the modular construction process by applying a beacon receiver using BLE(Bluetooth Low Energy) technology on each module. Construction quality management would be improved using the location and assembly data, particularly for a different module in modular construction.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.880-882
• /
• 2015

최근 스마트폰을 활용한 다양한 서비스가 지속적으로 연구되면서 나날이 발전하고 있다. 그중에서 BLE(Bluetooth Low Energy) 기반 Beacon을 이용하여 다양한 분야에서 스마트폰 앱을 통해 서비스 되고 있다. BLE 기반 Beacon을 이용한 다양한 분야 중에 실내 위치 기반 서비스에 대해 많은 연구가 진행되고 있는데 본 논문에서는 보안이 필요한 기관이나 업체의 출입통제를 위해 Beacon을 출입통제 시스템에 적용하고자한다. Beacon을 이용한 출입통제 시스템은 사용자의 스마트폰을 Beacon으로 위치 측위하여 사용자가 출입문에 왔을 때 OTP인증을 통하여 사용자는 출입여부에 대한 권한을 부여 받아 사용 할 수 있도록 제안하였다.

• Journal of KIISE
• /
• v.42 no.2
• /
• pp.272-279
• /
• 2015

Concurrent with the more widespread usage of smart devices, mobile users' desires are becoming much more complex. Most IT experts insist that smart devices should have additional functions to satisfy these requirements. In particular, research has concentrated on LBS (Locationbased Service), because it is considered one of the most common mobile service types. Generally, Wi-Fi has a critical limitation for use for LBS services, because it requires new network connection points whenever its location (Network Zone) changes. Unfortunately, GPS also has a systematic problem in providing LBS service in the indoor environment, because of its inaccuracy in processing data. So, to redress these limitations, iBeacon technology has been designed, and is currently used for LBS service instead of Wi-Fi or GPS. By using iBeacon, which is based on Bluetooth 4.0 LE technology, we propose a M-SAS (Mobile-Subway-Alarm-Service System) that could accurately and timely provide its users with various mLBS (micro LBS) services, such as current user location, and subway arrival time.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.520-522
• /
• 2015

저전력 블루투스(BLE, Bluetooth Low Energy)를 이용해 사람이나 사물의 위치를 파악하는 근거리 무선 통신 기술을 제공한다. 과거에는 GPS로 건물 밖의 이동 데이터만 확인 가능 했다면, Beacon은 실내에서의 객체 이동 위치 데이터와 이동 경로를 측정 할 수 있는 기술이다. 본 애플리케이션에서는 BLE를 통한 비콘셀이 항시 ID를 주변으로 뿌리고, 이를 인식한 단말기가 수신한 ID를 통해 Beacon 서비스 서버에 접속하여 정보를 받는 방식으로, Beacon이 설치된 장소에서 특정 범위 안에 있는 단말기기는 Beacon 서버를 통하여 관광지의 정보 서비스를 제공한다.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.18 no.3
• /
• pp.1-7
• /
• 2022

In this study, inaccurate RSSI values of beacons are corrected using extended Kalman filter. For the experiment, the beacon was manufactured using Arduino Uno board and HM-10 Bluetooth module. RSSI values according to the distance between beacon and the viewer were measured at intervals of 1m, 1.5m, 2m, 2.5m, 3m, 3.5m, 4m, 4.5m, and 5m. To remove the irregular signal pattern of the beacon, the extended Kalman filter was applied to obtain the average and standard deviation of the actual distance and the measured distance, and it was confirmed that more than 76.6% of the irregular signal pattern was removed after using the extended Kalman filter.In addition, through the smartphone app, it was confirmed that the distance accuracy between the beacon and the measurer was less than the actual distance and the measured distance within 2m, and the standard deviation was small.