• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.99-101
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• 2017

최근, 실내 환경에서 위치기반 서비스 응용에 대한 수요가 늘어남에 따라 비콘, 지자기, Wi-Fi 등을 사용한 실내측위 관련 연구가 활발히 연구되고 있다. 특히, BLE 비콘을 사용한 실내측위는 시스템 설치 및 유지보수의 용의성, 낮은 소비전력, 낮은 가격 등의 특징을 가지고 있으며, 이에 다양한 상용 실내측위 응용 분야에서 조명 받고 있다. 일반적으로, BLE 비콘 기반 실내측위는 단일 BLE 비콘과 해당 비콘의 전파 범위에 위치하는 단말기 사이의 송수신 전파의 세기 정보를 이용하여 절대 거리를 계산한다. 그러나, 기존 연구 방법으로는 BLE 비콘의 종류, 설치 환경에 따른 전파 감쇄 및 반사 등의 문제로 정확한 거리를 측정할 수 없다. 본 논문에서는 다중 비콘을 사용하여 각 비콘으로부터 얻은 수신세기 차이를 이용한 실내 공간 세그멘테이션 방법을 제안한다. 본 논문에서 제안한 방법으로 실험을 진행하였으며, 그 결과 임의로 설정한 $4m{\times}4m$ 정사각형 영역에서 내부와 외부를 구분할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.33-36
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• 2015

기존의 자산관리 시스템으로 대규모 자산을 관리함에 있어 효율적인 RFID나 바코드 등을 이용한 방식들이 있으나 설치과정과 시스템 구성이 복잡하고 비용이 비싸 대중적으로 이용되지 못하고 있다. 본 논문에서는 Bluetooth Low Energy(BLE) 비콘을 이용하여 일상적으로 사용하는 모바일 단말과 웹 등을 이용하여 자산을 관리할 수 있는 경제적인 자산관리 시스템을 제안한다. 나아가, BLE 비콘의 신호 세기에 따른 측정 가능 거리를 분석하여 비콘의 활용에 대한 구체적인 수치를 제시하였고 경제적 측면에서 기존 시스템과 차별화하였음을 보였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.10
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• pp.1197-1209
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• 2016

As Indoor Positioning System demands due to increased penetration and utilization of smart device, Indoor Positioning System using Wi-Fi or BLE(Bluetooth Low Energy) beacon takes center stage. In this paper, a terminal location of the user is calculated through Microscopic Trilateration using RSSI based on BLE. In the next step, a fingerprinting map appling approximate value of Microscopic Trilateration increases an efficiency of computation amount and energy for Indoor Positioning System. I suggest Indoor Positioning Algorithm based on BLE fingerprinting considering efficiency of energy by conducting precise Trilateration that assure user's terminal position by using AP(Access Point) surrounding targeted fingerprinting cells. And This paper shows experiment and result based on An Suggesting Algorithm in comparison with a fingerprinting based on BLE and Wi-Fi that be used for Indoor Positioning System.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.169-170
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• 2015

본 논문에서는 근거리 통신에 적합한 BLE(Bluetooth Low Energy) 기반의 iBeacon을 신호를 이용해 차선분류를 차선 감지 알고리즘을 정의하였다. 내비게이션의 목적지 안내 서비스의 정확성 및 효율성을 높이기 위해 차선 감지 알고리즘을 적용한 내비게이션 모델을 설계하였다.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.648-662
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• 2020

Bluetooth low energy (BLE) beacon is an actively push-to-broadcast electronic signal and can be used for object identification. This paper uses such beacon-based identification and Internet of Things (IoT) technologies for the elder health management service system to simplify the user interfaces and steps for preventive elder care. In the proposed system, an elder's family member, caregiver, or medical worker can conveniently and quickly record daily health management information. Besides, through the statistics and analysis of the data on the back end of the system, it is helpful for the elderly to refer to the data of daily care management and future management trends. Similarly, it is also an essential reference data for system maintenance and the new preventive health care services development.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.452-454
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• 2014

스마트폰의 대중화와 고성능화로 인하여 다양한 센서들이 부착되고 이를 활용한 서비스가 활발히 출시되고 있다. 이들 중 GPS 위치정보를 기반으로 한 상황 인식 서비스는 다양한 분야에서 킬러 서비스로 각광을 받고 있으나, GPS 위치획득방식 특성상 실내에서는 서비스가 제한되는 문제를 안고 있다. 최근에는 GPS를 대신하여 사용자의 실내위치를 파악하기 위해 NFC, iBeacon과 같이 스마트폰 운영체제에서 제공하는 근거리통신기술을 활용하는 사례가 점차 증가하고 있다. 본 논문에서는 근거리통신기술 중 iBeacon을 사용하여 대학교에서 유용하게 활용할 수 있는 스마트 출석관리 시스템을 제안하고자 한다. 제안된 시스템은 iBeacon과 학생의 스마트폰 간에 BLE(Blutooth Low Energy) 통신을 통하여 출석 정보를 자동으로 수집한다. 또한, 출석정보의 효율적인 수집과 실시간 확인을 위하여 발간/구독 기반의 DDS 미들웨어를 프레임워크로 사용한다.

• Journal of Advanced Navigation Technology
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• v.19 no.6
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• pp.552-557
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• 2015

Recent performed by recognizing a user's location, various services have been tailored focus on short-range wireless communication technology. A beacon in which is attracting attention as next-generation technology. Beacon is a terminal by utilizing the frequency of the non-audible area can not be bluetooth and human sending and receiving terminals and information, Apple recently iBeacon like a low-power Bluetooth (BLE; bluetooth low energy) based beacon showing a tendency to rise into the mainstream there. Services using a beacon is basically installs the terminal in a certain place indoor. It is characterized by providing the user the services to catch the user's position, even automatically take a separate action. Various types of location-based service provided by the target interior space began to attract attention. A variety of location-based services are provided in the interior space in order to be successfully deployed and provide guidance to the interior space, the movement route and the like are essentially required to build various types of information. In this paper, for efficient indoor positioning by varying the signal strength of the beacon in such areas were measured and analyzed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.147-153
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• 2018

Beacon enables one to measure distance indoors based on low-power Bluetooth low energy (BLE) technology, while GPS (Global Positioning System) only can be used outdoors. In measuring indoor distance using Beacon, RSSI (Received Signal Strength Indication) is considered as the one of the key factors, however, it is influenced by various environmental factors so that it causes the huge gap between the estimated distance and the real. In order to handle this issue, we propose the adaptive ANN (Artificial Neural Network) based approach to measuring the exact distance using Beacon. First, we has carried out the preprocessing of the RSSI signals by applying the extended Kalman filter and the signal stabilization filter into decreasing the noise. Then, we suggest the multi-layered ANNs, each of which layer is learned by specific training data sets. The results showed an average error of 0.67m, a precision of 0.78.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.10
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• pp.1941-1948
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• 2016

The incident during commuting to school happened frequently in these days, such that the government announced the student commuting safety policy for addressing to implement the safety management system of the unsafer school commuting zone. In this paper, a commuting tracking system is proposed that notifies the location of vehicles and the boarding status of student using BLE beacon and smart phone GPS function. The commuting tracking system that gets the data from the system server of driver's smart phone GPS location and UUID of the beacon which had provided students has configured to provide notifications to parents and related administrators. It provides real-time information about whether a student boarding, boarding times and bus locations for parents and administrators. It verifies the disembarking time for each student and also provides to driver to secure if any student tries to board the wrong school bus and if any students is left behind in the bus.

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.91-96
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• 2016

In this paper, we propose the CRM service model for analyzing and managing location based data collected by Wi-Fi and BLE. As mobile devices became personalized, enterprises became interested in individual location, and location based mobile marketing started to stand on spotlight. Location based proximity marketing is developing along with contactless data transmission technology, and payment system that uses NFC, Beacon that utilizes BLE, as well as advertisement via Wi-Fi are being serviced. We suggest the model that mobile devices can be detected and identified by MAC address with the need of being connected to Wi-FI or Bluetooth interface. MAC addresses are not associated with any specific user account or mobile phone number. The idea is to be able to measure the amount of people which are present in a certain point at a specific time, allowing the study of the evolution of data analysis and offers effective information for decision-makings.