• 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 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 Advanced Navigation Technology
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• v.19 no.6
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• pp.558-563
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• 2015

There have recently been various services that use indoor location estimation technologies. Representative methods of location estimation include fingerprinting and triangulation, but they lack accuracy. Various kinds of research which apply existing location estimation methods like AOA, TOA, and TDOA are being done to solve this problem. In this paper, we study the location estimation algorithm based on AOA using a RSSI difference in indoor environments. We assume that there is a single AP with four antennas, and estimate the angle of arrival based on the RSSI value to apply the AOA algorithm. To compensate for RSSI, we use a recursive averaging filter, and use the corrected RSSI and the Pythagorean theorem to estimate the angle of arrival. The results of the experiment, show an error of 18% because of the radiation pattern of the four non-directional antennas arranged at narrow intervals.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.06a
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• pp.207-208
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• 2017

최근 보급되는 스마트 디바이스들은 실외뿐만 아니라 실내의 위치를 측정할 수 있는 기술들을 제공하고 있다. 실외 위치 측위 같은 경우는 기존의 GPS(Global Positioning System)를 사용하는 것이 일반적이지만, 실내 위치 측위는 기존의 GPS 방법으로는 한계가 있어 다양한 새로운 방법들이 연구 중에 있다. 그 중 가장 대표적인 방법은 BLE(Bluetooth Low Energy) 기반의 비콘(beacon)을 활용하는 것이다. 그러나 이 또한 추가적인 하드웨어가 필요할 뿐만 아니라 충전이 필요하다는 단점이 존재한다. 따라서 본 논문은 상기 단점들을 극할 수 있는 OCC(Optical Camera Communication)를 활용한 실내 위치 측위 기술을 고려한다. 특별히 공연장 내에서 관객들이 소지하고 있는 스마트 디바이스 카메라의 상대적인 위치정보를 획득하는 시스템을 제안한다. 이는 추가적인 하드웨어를 필요로 하지 않고 비동기식 접근이 가능하다는 장점이 있다. 본 논문에서 제안한 시스템을 통해 획득된 위치정보들은 촬영한 영상과 함께 저장되어 다양한 시점을 제공하는 응용데이터로 활용될 수 있을 것으로 기대한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.936-942
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• 2022

While indoor vehicle navigation is an essential component in large-scale parking garages of major cities, technical limitations and challenging propagation environments considerably degrade the accuracy of existing localization techniques. This paper proposes a proximity detection scheme using low-cost beacons where a handheld mobile device within a moving vehicle autonomously detects its approximate position and moving direction by only observing Received Signal Strength (RSS) values of beacon signals. The proposed approach essentially exploits the differential RSS technique of multi-directional beams to reduce the impact of the environment, vehicle, and mobile device. A low-cost multi-directional beacon prototype is developed using Bluetooth technology. The localization performance is evaluated using 96 beacons in an underground parking garage within an area of 394.8m×304.3m. Experimental results show that the 90th percentile of the average proximity detection error is 0.8m. Furthermore, our proposed scheme provides robust proximity detection performance with various vehicles and mobile devices.

• Smart Media Journal
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• v.8 no.4
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• pp.85-90
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• 2019

The Ultra-Wide Band sensor is widely used as a wireless indoor localization technology with frequency bands in the GHz range. Meanwhile, in museums, not only the real-time location of visitors but also information on visit route and duration time is required for patrons' behavior analysis. In this paper, the analysis system based Ultra-Wide Band radar for visitor's viewing behavior is introduced and experimented in the real environment. We built the system in National Museum of Korea, and its 22 Ultra-Wide Band radar sensors receive the real-time location of their visitors: this analyzes the visit route and visit time for patrons.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.1
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• pp.157-166
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• 2009

There is a growing interest in ubiquitous-related research and applications. Among them, GPS-based LBS have been developed and used actively. Recently, with the increase of large size buildings and disastrous events, indoor spaces are getting attention and related research activities are being carried out. Core technologies regarding indoor applications may include 3D indoor data modeling and localization sensor techniques that can integrate with indoor data. However, these technologies have not been standardized and established enough to be applied to indoor implementation. Thus, in this paper, we propose a method to build a relatively simple 3D indoor data modeling technique that can be applied to indoor location based applications. The proposed model takes the form of 2D-based multi-layered structure and has capability for 2D and 3D visualization. We tested three prototype applications using the proposed model; CA(cellular automata)-based 3D evacuation simulation, network-based routing, and indoor moving objects tracking using a stereo camera.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.25-30
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• 2024

Smart City, a key application area of the AIoT (Artificial Intelligence of Things), provides various services in safety, security, and healthcare sectors through location tracking and location-based services. an IPS (Indoor Positioning System) is required to implement location-based services, and wireless communication technologies such as WiFi, UWB (Ultra-wideband), and BLE (Bluetooth Low Energy) are being applied. BLE, which enables data transmission and reception with low power consumption, can be applied to various IoT devices such as sensors and beacons at a low cost, making it one of the most suitable wireless communication technologies for indoor positioning. BLE utilizes the RSSI (Received Signal Strength Indicator) to estimate the distance, but due to the influence of multipath fading, which causes variations in signal strength, it results in an error of several meters. In this paper, we conducted research on a path loss model that can be applied to BLE IPS for proximity services, and confirmed that optimizing the free space propagation loss coefficient can reduce the distance error between the Tx and Rx devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.456-457
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• 2021

Recently, in order to more accurately provide indoor location-based services, technologies using Wi-Fi fingerprints and deep learning are being studied. Among the deep learning models, an RNN model that can store information from the past can store continuous movements in indoor positioning, thereby reducing positioning errors. When using an RNN model for indoor positioning, the collected training data must be continuous sequential data. However, the Wi-Fi fingerprint data collected to determine specific location information cannot be used as training data for an RNN model because only RSSI for a specific location is recorded. This paper proposes a region clustering technique for sequential input data generation of RNN models based on Wi-Fi fingerprint data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.270-271
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• 2015

Recently, There is Increasing interest in the intelligent services using the Internet of Things indoor positioning technologies that enable the communication of information between the objects. In particular Applications and demand for the indoor location based services using smart devices has made active. An indoor location positioning technology for this purpose BLE (Bluetooth Low Energy) has been a lot of interest in technology increases. If iBeacon of BLE(Bluetooth Low Energy) is made available to provide a signal for the indoor location information measurement then reliability of Indoor location information is lowered by signal interference. In this paper, Proposes a technique for data acquisition method for obtaining reliable position information and reliable position information calculation method from signal information data of iBeacon.